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mall.sql
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mall.sql
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/*
Navicat Premium Data Transfer
Source Server : ali
Source Server Type : MySQL
Source Server Version : 50725
Source Host : 39.105.73.110:3306
Source Schema : mall
Target Server Type : MySQL
Target Server Version : 50725
File Encoding : 65001
Date: 08/05/2019 11:21:19
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for t_category
-- ----------------------------
DROP TABLE IF EXISTS `t_category`;
CREATE TABLE `t_category` (
`category_id` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '分类id,UUID',
`category_parent_id` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '上级分类id',
`category_name` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '分类名称',
`category_level` int(11) DEFAULT NULL COMMENT '1:一级;2:二级',
`category_tree_code` varchar(10) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '树状查询码',
`category_remark` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '备注',
`created_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '创建人',
`gmt_create` datetime(0) NOT NULL COMMENT '创建时间',
`last_modified_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '更新人',
`gmt_modified` datetime(0) NOT NULL COMMENT '更新时间',
`is_deleted` int(11) NOT NULL COMMENT '是否作废1表示作废,0表示未作废',
`sort_no` int(11) NOT NULL COMMENT '序号',
`version` int(11) NOT NULL COMMENT '版本号',
PRIMARY KEY (`category_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '分类表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_category
-- ----------------------------
INSERT INTO `t_category` VALUES ('30ddd758e3ed43798e2e37a8f3e7a086', 'palwz6s53hs491k2wdtufpqcvxdd99he', '电视', 2, '006000', 'undefined', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:53:48', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:53:48', 0, 1, 0);
INSERT INTO `t_category` VALUES ('36c2fd0fea45492c9952ada0b327e234', '0', '美食', 1, '013', '美食', 'd8eec00204a64ab681cf93048cfcd4f5', '2019-05-07 11:10:04', 'd8eec00204a64ab681cf93048cfcd4f5', '2019-05-07 11:10:04', 0, 13, 0);
INSERT INTO `t_category` VALUES ('39e5df26305845ed8d7fe254341e92b6', '6ff2an8024xzwz56mpwgurzptcj9a3z3', '洗护用品', 2, '002002', 'undefined', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:48:31', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:48:31', 0, 3, 0);
INSERT INTO `t_category` VALUES ('487357333b8f4788975c1540e38dec8a', '0', '办公文具', 1, '000', '文件夹类', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:00:44', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 00:50:53', 0, 2, 1);
INSERT INTO `t_category` VALUES ('489b98721a1c4c3b8e22ce9614661539', 'palwz6s53hs491k2wdtufpqcvxdd99he', '撒旦', 2, '006002', 'undefined', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:55:32', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:55:32', 0, 3, 0);
INSERT INTO `t_category` VALUES ('4adda0536d7f484fbeb181a7e3f6f3fe', '6ff2an8024xzwz56mpwgurzptcj9a3z3', '日常生活', 2, '002001', '1', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:31:44', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:31:44', 0, 2, 0);
INSERT INTO `t_category` VALUES ('4aysiwngvzqv376uzt3ftjy2m5oob79j', '0', '办公家具', 1, '007', '办公家具 保险箱', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:26:10', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:51:48', 1, 10, 3);
INSERT INTO `t_category` VALUES ('5ae40979a6124c3484648a24f7a3d8d1', 'b14c55c7381f4055a8849d3524ea28b7', '测试分类1.9', 2, '000000', '测试', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:01:15', '15e620f5b5b34f40bf56281cde8db598', '2019-05-03 20:45:38', 1, 0, 3);
INSERT INTO `t_category` VALUES ('60180bb7ecd244228209123fb70103c3', 'b14c55c7381f4055a8849d3524ea28b7', '后台测试1', 2, '000009', '111', '6b66883e1728428b88cfb5892f13df5a', '2019-05-06 09:36:34', '6b66883e1728428b88cfb5892f13df5a', '2019-05-06 09:38:42', 1, 10, 2);
INSERT INTO `t_category` VALUES ('639713ccb2e342c794f9ba0884d9da43', 'palwz6s53hs491k2wdtufpqcvxdd99he', '冰箱', 2, '006001', 'undefined', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:54:21', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:54:21', 0, 2, 0);
INSERT INTO `t_category` VALUES ('6eb9cf740dad467cbace64c027c5e14b', '0', '办公耗材', 1, '001', '办公耗材', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:00:48', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 00:51:55', 0, 3, 1);
INSERT INTO `t_category` VALUES ('6ff2an8024xzwz56mpwgurzptcj9a3z3', '0', '生活日用', 1, '002', '生活用品', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:12:05', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:31:55', 0, 1, 2);
INSERT INTO `t_category` VALUES ('78cf02a9c22c4c7ea0538540468bfc22', 'b14c55c7381f4055a8849d3524ea28b7', '外设产品', 2, '000002', '测试', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:01:24', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:06:15', 0, 2, 1);
INSERT INTO `t_category` VALUES ('821d3f024ebf41beb667631384a3087a', '487357333b8f4788975c1540e38dec8a', '笔记本', 2, '001001', '测试', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:04:36', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:08:31', 0, 1, 1);
INSERT INTO `t_category` VALUES ('86f35a6b285b48d2bfacdfa4fda8e897', '6eb9cf740dad467cbace64c027c5e14b', 'A4纸', 2, '002000', '32', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:04:51', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:41:01', 1, 0, 3);
INSERT INTO `t_category` VALUES ('9614d9158ae04ddbb9053308d6f09aee', 'b14c55c7381f4055a8849d3524ea28b7', '文具耗材', 2, '000006', '测试', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:04:14', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:07:26', 0, 6, 1);
INSERT INTO `t_category` VALUES ('b0d303c578af43aaaabf358a5f61433d', '6ff2an8024xzwz56mpwgurzptcj9a3z3', '厨房用品', 2, '002000', '厨房用品', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:22:26', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 10:08:59', 0, 11, 2);
INSERT INTO `t_category` VALUES ('b14c55c7381f4055a8849d3524ea28b7', '0', '劳防用品', 1, '003', '包装 作业', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:00:38', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 00:50:29', 0, 1, 1);
INSERT INTO `t_category` VALUES ('c080e2425e44449a9e9bcf4e2098ee86', '487357333b8f4788975c1540e38dec8a', '文件夹', 2, '001000', '测试', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:04:29', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:07:48', 0, 0, 1);
INSERT INTO `t_category` VALUES ('c1fd03ff34794f7ba5cca75f16b015e6', 'dszz12riwr7gpqi51d6yf4gtm44l3ed9', '照明设备', 2, '010000', '照明设备', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 09:05:53', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 09:05:53', 0, 1, 0);
INSERT INTO `t_category` VALUES ('c4b96c3fa4124461884ed87d0f7aa9a7', 'b14c55c7381f4055a8849d3524ea28b7', '办公设备', 2, '000005', '测试', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:04:09', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:07:12', 0, 5, 1);
INSERT INTO `t_category` VALUES ('ca31b16253eb4c24b7af19b1cd0b47b8', 'b14c55c7381f4055a8849d3524ea28b7', '游戏设备', 2, '000003', '测试', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:01:32', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:06:29', 0, 3, 1);
INSERT INTO `t_category` VALUES ('d9082de11b984324bcd38df2b3f94449', '6eb9cf740dad467cbace64c027c5e14b', '办公耗材', 2, '001001', '1', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:40:50', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:40:50', 0, 1, 0);
INSERT INTO `t_category` VALUES ('dd4cd7ee77134731bd9f74edce6ce25f', 'b14c55c7381f4055a8849d3524ea28b7', '电脑整机', 2, '000008', '1', '15e620f5b5b34f40bf56281cde8db598', '2019-05-03 20:45:56', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 00:57:13', 0, 1, 1);
INSERT INTO `t_category` VALUES ('dszz12riwr7gpqi51d6yf4gtm44l3ed9', '0', '照明设备', 1, '010', '照明设备', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:29:10', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:32:10', 0, 9, 2);
INSERT INTO `t_category` VALUES ('e3f80877d4ae4b5d852ec6c5737b0219', 'b14c55c7381f4055a8849d3524ea28b7', '电脑配件', 2, '000001', '测试', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:01:19', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 00:57:26', 0, 1, 1);
INSERT INTO `t_category` VALUES ('e7b44504ed554f6bb18e4a4d0616211a', '36c2fd0fea45492c9952ada0b327e234', '饮料', 2, '013000', 'undefined', 'd8eec00204a64ab681cf93048cfcd4f5', '2019-05-07 14:07:57', 'd8eec00204a64ab681cf93048cfcd4f5', '2019-05-07 14:07:57', 0, 1, 0);
INSERT INTO `t_category` VALUES ('f88c012c98ea4b81bebe9248f1494a2a', 'b14c55c7381f4055a8849d3524ea28b7', '网络产品', 2, '000004', '网络产品', '15e620f5b5b34f40bf56281cde8db598', '2019-04-27 17:01:37', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:06:54', 0, 4, 2);
INSERT INTO `t_category` VALUES ('k24c20nufrjqn8oer8zkeczfj0kiv4s5', '0', '维修材料', 1, '009', '维修材料1', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:28:09', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 09:13:01', 1, 7, 4);
INSERT INTO `t_category` VALUES ('palwz6s53hs491k2wdtufpqcvxdd99he', '0', '办公家电', 1, '006', '大家电 生活电器', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:24:48', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:32:25', 0, 6, 2);
INSERT INTO `t_category` VALUES ('rwr2wis8vn19e25ryx953cvooninwcpz', '0', '办公设备', 1, '005', '办公机器', '15e620f5b5b34f40bf56281cde8db598', '2019-05-07 08:23:40', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 08:32:30', 0, 5, 2);
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-- ----------------------------
-- Table structure for t_collect
-- ----------------------------
DROP TABLE IF EXISTS `t_collect`;
CREATE TABLE `t_collect` (
`collect_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '收藏id',
`customer_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '客户id',
`created_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '创建人',
`gmt_create` datetime(0) NOT NULL COMMENT '创建时间',
`last_modified_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '更新人',
`gmt_modified` datetime(0) NOT NULL COMMENT '更新时间',
`is_deleted` int(11) NOT NULL COMMENT '是否作废1表示作废,0表示未作废',
`sort_no` int(11) NOT NULL COMMENT '序号',
`version` int(11) NOT NULL COMMENT '版本号',
`commodity_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '商品id',
PRIMARY KEY (`collect_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '收藏表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_collect
-- ----------------------------
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-- ----------------------------
-- Table structure for t_commodity
-- ----------------------------
DROP TABLE IF EXISTS `t_commodity`;
CREATE TABLE `t_commodity` (
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`commodity_color` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '颜色',
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`commodity_retail_price` decimal(10, 0) DEFAULT NULL COMMENT '零售价',
`commodity_unit_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '购买单位',
`commodity_is_sold` int(11) DEFAULT NULL COMMENT '是否上架1是0否',
`commodity_inventory` int(32) DEFAULT NULL COMMENT '库存',
`commodity_is_lack` int(255) DEFAULT NULL COMMENT '是否缺货1是0否',
`commodity_totalCount` int(255) DEFAULT NULL COMMENT '销量',
`commodity_is_recommend` int(11) NOT NULL COMMENT '是否推荐1是0否',
`commodity_desc` longtext CHARACTER SET utf8 COLLATE utf8_general_ci COMMENT '商品描述',
`category_first` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '一级分类id',
`category_second` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '二级分类id',
`created_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '创建人',
`gmt_create` datetime(0) NOT NULL COMMENT '创建时间',
`last_modified_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '更新人',
`gmt_modified` datetime(0) NOT NULL COMMENT '更新时间',
`is_deleted` int(11) NOT NULL COMMENT '是否作废1表示作废,0表示未作废',
`sort_no` int(11) NOT NULL COMMENT '序号',
`version` int(11) NOT NULL COMMENT '版本号',
PRIMARY KEY (`commodity_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '商品表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_commodity
-- ----------------------------
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INSERT INTO `t_commodity` VALUES ('2019050710355690176815', '3ef371a26eb643cdbcceb0a5575bf835', '11', '11', 'http://39.105.73.110/group1/M00/00/03/rBAJh1zQ7wiAVqtVAAISxYqxgV8688.jpg', 11, 11, 'a936da6627684588a68330b86a0152c8', 0, 10, 0, 0, 0, '<p>11</p>', '3bb9c6f09cae4340a399be6103d71494', '39e5df26305845ed8d7fe254341e92b6', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 10:35:56', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 10:36:28', 1, 0, 2);
INSERT INTO `t_commodity` VALUES ('2019050709040638013126', '41ecdcb23fca42c1932d0d4305602a58', '适用HP12A碳粉HP1020 plus M1005激光打印机', '红色', 'http://39.105.73.110/group1/M00/00/03/rBAJh1zQ2YKAA9oUAADA2uyHZmc274.jpg', 269, 255, 'a936da6627684588a68330b86a0152c8', 0, 10, 0, 0, 1, '<p>适用HP12A碳粉HP1020 plus M1005激光打印机</p><p><br></p><p><img 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\"></p><p><br></p><p><img 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W454UCp/cllEgotyAbtoogq56GKiJTVllaOu5uTojHFx8z2T4Pw+Bc07IbS5DdTVbLaRr2aXtXNfeTcQOQGogY4f8bN+KKEFjOaTjygO6aN48z9B8RbtpXSdmFGGZWdojHqfCe7LF6to8cxVhqxLzDBEijhOGdyzNNkiQgB3TVBwuIiCAEU3JPewWb2QO4AjwfkjoH93iqsjus93dC7W5nD6QyjmwMu2hvkU5LO3a0sikkaOLY3SNEbaCga2R5NIyDr68SbgChKJr8teNkSgpZI9dvcNhVCARRdsLK0REkmOxKsyakUQcSyIkKvJN0gFOQQEzogd+VUHMfkrAEdrt+npIHh/vh6/j6fHXgnvDbFi6J3U27hb78QvbcXUEYDmzhp5+1QtAIdKCA6Vg4TNrIPzgIliCncm/GJvbOqy1do0m5r9ybQcjBWY+noAlfcQ1hSauYydPIEjFClh1WTwjgVgKYAQHtAA5otucu8AtDuU9B5RTj4ehbXw+43e0zsNrd2GPacfeNifHMbOMRGOUNLJS4VIj5XB5IBPLxoehbeeYt+5Eaw0QwDj3VJ7ZW55OUr0EnJxFSbzqcY1bIi+slqk4YhCxiCT8jAWqaXYMUiz4okJ0TESy95JcRQDs4LpiQKgV8806P99XVbr5vXundFtdoG0lyOrpJYo2ubE2QMaPKlmkZVrQHBpYAK0fI2jaAkaPN3clvFVaak2ChuWjTdb1dOViRqF3mJTUsHDMm8Hdkwp66B5UjEijBaQUnCtklCiByrLF7I9emQk1zlOqcJg4REUNWgcDw6aearMdbbid52HSWQbq/Hm20zPbPguJHWkbA2O5HZyOYGrS4yhrSOhzgtNmRKs7XVbx58PPh9CQOltwRknZIbYbSvUG+JSbPaCzUWdnUiIuZXUKzFTuytjPlDlO3OApmSMKZwEoiA7mtsfaBkc3MRJQH8bw9KylaE2C2nx1tidV2XaIc9HDb3AkbeSCkvIx5PLzU5S4kOYRylpLSC0kK8O+9Dad5W1yMoWx5d1M12NlSWFCCrdijWKi0s0buGraSVctWziXKdm1erplBJZNISLG7ZTeTpXXEEN20MkNWg1oCFzDrfRGlNy8azBajc6fHMlEojjlDCXtBDX8zR1gLQ5w8lwBDiCCpDudCoUxqyT09POQg6LYKW514szay6cK5GqrRAQTqLYvVDAdIDw5+4MYvUwJnH8nXrmo+OMw9S40jLadNOHR6incthMNfacl0tfHq8LcWjrVzQ/qz1Lo+rcxruBFYzy1HEAqJOOXHnjjxWh7HDagPHxZLZItJKfkZe1ozUtIHj2x20c0O+due2SPjyrLGRRKAFKo4VN5ROOaVtb21qCIiOPTU8VtfQGgNBbZ2c9lpJjIWXUgfK583WPeWjlaC97ieVoJLWjgC5x6XFUw5mcH+LVqpXI3kLMzFgntsIa22LemMi52OLhsNgrNJk3tbZoQ6Jit/hcceLbN0GZCgQEEypgHTKK7sbVzJLguJl5SenwgcFxDvBsxtrlMLqDXt6Z59Utxt1cNebpxHWw2z3QgRhwbyM5GNawCnKAKLlYzbKxeq6XFjmFyQ0QilqnSFlrkGz2DeI1dROerUTMJDYposVW27hZ6+YvXTZmVJsgByplN2QKJgKIj0Grtru5gHVwOADj4gePR4QuaNrN3NwtFNZpLRk1rFFkL9h/PRNeOul6uEEuIJDaNbWgNKEgEren9o+Mz/Slxr/8AN7b+rrJvkzP8NnpfxVe172d7j/pHTH/gv/zVS/oWueJmw2xVHfIO+6QmtQpfHfu6MqDNBKxOe3W5hOA+HKEpcSYvc2c7JRbo4T6oEOH4v8kda3bkxMDcOYYeNaUr0GngHhot1aKse8VDqa2k13e4KXSo6zr2W7XCY/mpBFyEwMHCbqy7yh5Id09Bm/lTFcvJSLpxOJVl15W5ZF/LGuiuwUEl2zqOO3ZBDkjQUr8+JV0nILip0Kn+EQ8o/kDXu23hDeyFoPGtfS8BW8tybbdK4tLUbXXGOgvRI/rzdglpZyjkDKRyHmDq14DgqY/aPjM/0pca/wDze2/q6yi5Mz/DZ6X8VcR+9ne4/wCkdMf+C/8AzVUg5ub18R/QNNZULfl+1JK1vfVY2LUDNqRXop2urBt4qIhrUg6duKvCLxqzhhc0it1EROcDds3UolL1orybJQM5J3NLXgjgB0eHwDxrhbejXPeB0Lh2YLXF5h5cfnba7gpbRcx6sMjjmBc6KMsJbcDkLebjU8KCujnIZWTLoM8GTii4BeV5XXOOFNuCEnUtRIuUwEy51DKx9wuSID+IiaJU1IlqcB/GJ3oCAAVMxp7D2tSbp/QODfXPrfhV+/dB2vkj63dDMR0DmvgsQQOIqWz3A8XQYGHgSOuqKFpP0+Idr3kxzo2i5rXHihDeNS8d5+a11NyaN3oVebOtxKR0BMXZBSPtFsgXzoa1GSMcwIp3B00nBXZU1B7ahQX8dzfSkW7eaGMlvSB5XCvSR0cAtTf/AAG429Oozi9AWPbdLYCeS2leLm2ia6/LIpJ2lk08bndTG+KMO5SGvMzQ7i4L3fCz4V8meOPIK4Xfc2tfs2ryunLBVWEn95UCw9/Pvrtr2XasPQqrapyRS72Og3SnenRKiXuuyJwMYhTfeMs7m3uC+ZtGlhHSDxqPET4lU92XZ3cfb3Xl3mtX47seNlxEsDX9otZayuuLWRreWCeR4qyN55i0N8mhNSAfy8Unhdyc5IchKrdtN6vPbarDagrtSdy5rpruvgM2yuF9m3bZNjZ7bCyZiIsrA3/Sdz3ZjGECmHoPRk7O5uLgPhbVoYB0gcak+E+avnvMbPbkbha9tczpHG9rxkOJigc/tFrF+cbcXUjm8s08b+DZWceWhrQE0KuHw1d80Nd6FseveSGh565T1Fi0WOt1G+w9PS0lsCBcpqtCU6deub8ePZqwJAIQHr5Tsrx5+wIKLIgVeqs+2xQGO4jLi0eTxbxHiPHwePxedx5g2hm3eweh58JuJhZ7rJWMYbakXVjI+7iIIEMjjc8jXRcB1krgHxkV5ntPPza8ruPm3NIXtSX2bp6P0lGbLlrPP0ilxNvrNwjIqKaP2yjmIYPa/YZ9ZNpDBLIJEFyKJjlEOwXslEC7dubeaB9ZWcgcSQKg8PFwJ6Fjt3U0HqrRudN9qLDx4W0yU00ltbxzw3DGMa5pcxropZCGx9Y0Dm5K18loAoPG4zbo3Nqa/sIrTew3muJHZUvWadNTLOFgpw4snk0i2bKHaTjF2RQjFd8ZXsJnQFQQ7InDyCHzbzTQv/Mu5S7gqbbPWOsdL6gjsNIZB2Omyc8FvJIIopfJdIGtPLK11eQvLqAt5ugnop0szPHDmPXGqb6w+KEtAslXBWiTyZ486zi2qjo6aqxGybh9eUEjuDpIHMBAETCUhh6dAHNxut7tgq+6oPNaB66yK3O328NlGJbzckwxE0BfiLJoJoTSrrgCtATTpoCvU1jrTfkVsGnyNi8TKE2jBs55gvKa7Q1Tq+HWuTMiwCrAJykTeX8kxPIB+AFEUVVC9fIUc/Yo5hI0m6DhXoo3j5nSq7TemtwLTPWtzk9w4snYMmBfaiws4jO3+TEkc7ntr42tJ8xWj5KV28WaixLCgcimfGaYRtjF25vj2sVu2JS0YnDzqK1RLHWiZg49FR+6cIvAXIsZYoMBKBBKc5i1dy17owGSdUa9NAfAeHEjz/QXIu4OOzuTw0UGns83Tt6LprnXLoIbgPYGSAwckz42gucWycwJcOroBRxIpjGaQ5Uzb5CMhvFdjpeSc976NHxmi9Tv3zjuUVHC3cNGl/VcK903SOc3ZKPZIUTD5AEcomw3DjytuwT5jW+yuJINFbrXUogttzmSTurRrcVYucaCpoBcEmgBJ8wVVF/EBuPNjh7Ha6iZLmZNbXjtwMthR79qfUFCpZI1lWUKm2dNziRW0nkSTCFwMURAWwogh5BP2/wUV+68tA1pmLw+v5IHRTz+mq4R31zm8+0cOOt59Xy5SHKtumuHvfaW/I2EQAjh13Pzif8AvOXl8PNw0MZBqxlbi/BFMUvK6/AYxSifj5bCkARABOYNi6pOJSgPlMYCEEegfmAR/Nkvhf0p3/mz6rVdv3MyBuhfV8OBn/53ZLcb4qhil4F71AxilE5tYFIAiACcwbj16cSlAfKYwEII9A/MAj+bJfKfoL/+D/4wV2/edIGx2br4ex/8/tVxz5tFYkUwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMIulrQHPjhzx64TNZnWdeSrF2iRNDvdOrPBkLlZtouI4p1bBLzp00FpmsyAolcKS4lTSbNClaJopLERZ5uK3v7S3sqxCkg/J8Jd4yfF5vg6PEFke0NvjtFoTZtl/pyAWuSh/Nux5dzXEt6W1L3yEAyRPoHG5IDWxgRhjHtbAPp4w7K42eIrpfaGvt5VSqVrdSoLW3YlhaFJHS74rIhmcHs6o2WcdSUhHo1RoZNooxUcHZRyPRAEgYuASxayW2QhfHOAJ+knw+Y4E+Lop0DzjRa+2+ptvu8Jo3I4HWVrbW+rSOuu3t8h7uXyYry3lkL3tELaMLC4shH5st6mQNdUfS/iTSnEvWe4uPSkxF7yV147eQnHHYcUdwtV3rBSQMxO2mVXhEHbmswrVX09iRIqhVDEUZJri1M3XTpIci61ifb8H8vBh8H+94R+DopTijSPeIl2s07l9BSTRZuTGvMeJuoyTDIwu5eWQkAmKJp6xnLUOo6Fj+r6uRbdn27bfp7w2qLvKvtK/K3KucbNLWNs1nY1YK67kpSs0ps79Liq+8r50mohJKGIk1VbETECgUAIHZyXMz4Ma2ZlC8Rt6ejjTxUV1Umsstpju+WetrNsEuYg05YzgSMPVOkdBBzczInRUaeYkNYWAcAKAUVctlcq+eOsuK9f5WyaXEaRqlhqmtrY3rLCnbkLYUGmzCQSkY1WUcbITjRcx4Tyff8AZVEo9g3YEfJ1p5Lq/ithdHqeQgGlHV4+iuPdRbmb16c2vg3Rn/VaTHT2lnOIW21+JA286rkaSb3lqzrRzeA0NFL/AIj8y6sfhs7LsL5Nuk9nqzpKZeJNCqEapupTaOsXzhNsRZVdUjciq4gQDHOYCgHUwj5c1sg4vxrnnpIafwlq3X3ibmS97vmTvJQBLNBj3kCtAXXtm40qSaVPCpJp4Vzm8FeP1N5O8iq3qO+ydniK3MQdqk3L2oPYphOEXg4RzJNCIOZmFn2BUVF0QBQDNjGEnUCiUfLm3rKBlzcNheSGmvR08BXzVj72Q0Dh9ytfQ6WzstzFj5LeaQugcxslY28zQDJHK2hPT5FfEQt6n+CJxS/pA5Cf6V63/qnyc95bX+FJ+EfxVer/AFMtr/8Al+f/AMfaf5irXcVeAGiuIc9ZbTrpzdLHZbNGN4VScv8AJV6WkIeISceluo6CUgatWU2TeWdJonddsqp1RbJABigUQGqtbCC0cXx8xcRTjTh51AFylthsXonai8ucjp915cZG5jEZlunxPeyMHmLIzFDCGte4NL6glxYzjRq/rlZwN1dzCnarNbPvO2ohCmRT2Mgq/SZyoxsAgrJuyupOWUbTtHsjxSWkSoN0VVAcFT7lqkBSFEDGOurCK7cHSueKCgAIp6YP9wX7uhsjprdq7tbrUl7lIo7ONzY4reSBkYLyC95EltM4vdRrSeanKxoDQak1P/wROKX9IHIT/SvW/wDVPlL7y2v8KT8I/iriz+pltf8A8vz/APj7T/MU/wAETil/SByE/wBK9b/1T495bX+FJ+EfxU/qZbX/APL8/wD4+0/zFaD+amkKpxx5M7K0zSJCwytXpv2b8Mf2p3Gvp9f7hoFVtT3091ERMHHK91IzixEu7apdlEpAN2jAY5oK8hZb3LoWVLRTp6eIB8zxqxneLRmL293HyOkMLJcS42z7PyOncx0p621gndzOjZGw0fI4NoxvkgA1NSYh05/63tV/85FH/wCU8XmhH7o3zx6q21on/wDeeI/6ztf/AE8a7O+WUDyisWuYVlxKu1Yoex0rrHOpqXtbSGeRzmkkgrGlJRqKU5Ubm0K9WnV41UpitU1AIicAVKUTEPvG7bdOjAtCGyc3GtOih8YPhosvO6NhuVkdPwwbWXtrYagF4x0kk7WOYbcRyh7AJLe4HMZDE4EMBo0+WBUOrBx3oXiiwu4qfJ8i92axt2m233B9416vRVMbTEh31Wm29e9DXidSViQJ6JaVWK6ndvkOqSRgN2yiKZ6a3ZkxMDcPaYeNQKeI06Gjw0XG+gcD3lbLVtpc7gZvGXekW9b18UUcDZH1hkEXKWWELhyzGNxpK3yWmvMKtM+cvK1zGskRSUuIGwahQJhrJTKl3cW5lAPUZKNUasSwyLIs9SLsRNVu6KuY4pptxEDB1MbyAGvdtvHBvZHBp41rT0OkFb73Vxu7GSsbRm1GQtLC+bK83Dp2xuD4+Ucgb1ltcgEOqTRreHhPQoD470LxRYXcVPk+Re7NY27Tbb7g+8a9XoqmNpiQ76rTbevehrxOpKxIE9EtKrFdTu3yHVJIwG7ZRFM+hbsyYmBuHtMPGoFPEadDR4aLYmgcD3lbLVtpc7gZvGXekW9b18UUcDZH1hkEXKWWELhyzGNxpK3yWmvMKtNLfHg/+lf/ANuP/wAH8o85/wAV/wAL/wAlcOd97/8Ahj/9R/8AuC1FcOtI1jkRyI15qe4WxGoQFikF1X7kQVCQmkIlqrKL1iCWBJRq0nZ5s0URbrOBKkkYRMAKqgm3ViLSFtxcNieeVpP9wHmn+7xK1baDReM3A3AsNL5e6ba2E7y5x488ojBeYIyBRskjWkNc4gN4kcz+Vju2qs1qBptehKnVollBVutxbGEgoaOSBBjGRUa3TaMWTVIOvZSbt0ilDqIiPTqIiIiOb0a1rGhjBRoFAsyOPx9lirGHGY2JkGPt4mxxxsFGsYwBrWtHgAAAC5omXiQ3Hh7uDlxrOva0rNzZTnL/AH3elZSZmpWOdIOpO0FgDsE0GKCqR26SVZIoBxHtCZUwfkAM2374yWk0sbGggyuPGvjp6yx1W/eHyW0urNV6cs8ZBexT6sydyXvlfGQXzCLko1jgQBCDWtauIpwWznw++e9z5m2HZUXYddVylsKFDV6QTeQszIySzx5PvpNuk2WRfpJdhIqMWoYDE6+UOg9OodZLH38l49zXtADR4FcnsTvjk94LzJQXmOhsobCOF1WSukLjK6QAEOa2gAjJqKr3t/cp+V9N27aaFoLi6luir1BtXm8zaCTS7FVpYZqCZWJWIWbJrEKHcRko1UKbp+IFf97P24u7tkzo7eLna2nHj0kV9dSeuNx9zsRqefDaH0yMzjbZkYkm68Rlsr2CQxlp8THsdXw83mLXbY/Gt3VUbDPVOy8daVD2OsTUpXp+Jd2meB1FzUK+XjZWOcgm2OmDhk+bKJH7JhDtFHoI5QOzNw1xa6NocDQ9Kt8yPfH1ViMhPisjp21iyFrM+KVhuX1ZJG4sew0jIq1wINCRUcCtd/NHm3ZOZ0hr6QsdFg6Spr9nZGbUkJKv5MkiSxrQq6p3HpyCRkTtTQwAXsiIGBQevTp5Y+8vH3haXgDlr0earf8AePee+3gmx817YRWJsGzAckjpOfrjETXma2nL1fgrWvgoq0ac/wDW9qv/AJyKP/yni8po/dG+ePVXHeif/wB54j/rO1/9PGuxrmurp5LVcAbdmiNkchaqOwIosfS9X1d1bZ+MsA1y1i1tDyOaWOsKIw7KOB20UXFwcpVnqRe7ETgYm773qeqHXsdIzm6GiprQ8ekLLbu+/SsemoDq/BZDUGN7czlt7O3NxKyXqpuWZzBLFSNrOdhfzGjpGjl8qoopo13wnPt/XJaN4e/J/XFwNa4oK5e7XqeXhq3VJYVw9EmpqUW2bKJMY9mp+JRQzdYCh/xB/JlBB2Hrm8lvK1/MKEg0B8Z8pcM6Kn2jdqywbhdA6jxuVNw3qrqfHuiigf4HySdqfyNHhPK7p6Fevmurp5LVcAbdmiNkchaqOwIosfS9X1d1bZ+MsA1y1i1tDyOaWOsKIw7KOB20UXFwcpVnqRe7ETgYlfe9T1Q69jpGc3Q0VNaHj0hczbvv0rHpqA6vwWQ1Bje3M5beztzcSsl6qblmcwSxUjaznYX8xo6Ro5fKqKf8WnXD1Te9FJqzgjyP0zfB+5/gWyb7q+VrtTrfSnWEZP4tMudizqLP4xDA4YIdpor3jl0mQOyJgOWjtex9e3qoJGScaEg0HA/3x8HDoXFO2021b9a2TdN6G1Bh81+e6u8ubB0MEP5iXn55TcycvWR80TfIPM97W8K1Fb/Hg/8ApX/9uP8A8H80M5/xX/C/8lcbd97/APhj/wDUf/uC57sgFYUtong+zxIfmpW48y5UhtVDv8CmmY6ZRcnbxBbOKBCnKJlDFJXDKdknQ3ZTEevZAwDJYl1L1o8YI9KvrK5ruk3zLTeCK3c4A3WPuYgKgcxDWzUFek0hLqDjQE9AK3G+MZPEh+GUlHmXKkNq2TRIFNMx0yi5O3WkrOKBCnKJlDFJXDKdknQ3ZTEevZAwDL5h1LSnjeB6p9ZXcd7O+ZabPT27nAG6vrWICoHMQ8zUFek0hLqDjQE9AK5Ls2ssVqYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhFZ7Xe1ONlbp0PC3/il+8q2sviHxa6/vzvtO+NekSj52w/9HIWOXjI74dGLotP0Rx77uO9N0OcwZVRy2zWBskXM/x8xFfQC5JwGp9vMdiYrPO6X98cqzm57j3yubfrKvc5v5qNhYzkYWs4HyuXmPFxWa/vw4d/2Gf7zW0f5pz76+z/AJD/AA3KY/XTaX5FfzxefxE/fhw7/sM/3mto/wA046+z/kP8NyfrptL8iv54vP4ifvw4d/2Gf7zW0f5px19n/If4bk/XTaX5FfzxefxE/fhw7/sM/wB5raP8046+z/kP8NyfrptL8iv54vP4ifvw4d/2Gf7zW0f5px19n/If4bk/XTaX5FfzxefxE/fhw7/sM/3mto/zTjr7P+Q/w3J+um0vyK/ni8/iJ+/Dh3/YZ/vNbR/mnHX2f8h/huT9dNpfkV/PF5/ET9+HDv8AsM/3mto/zTjr7P8AkP8ADcn66bS/Ir+eLz+In78OHf8AYZ/vNbR/mnHX2f8AIf4bk/XTaX5FfzxefxE/fhw7/sM/3mto/wA046+z/kP8NyfrptL8iv54vP4i8Wy7i4qSdcn42u8NvtewSMLKsYKzf7Q2x5v7dmHbFdvGTvwZ9Fpspf4Q9UI49FWMVJx3fYOIFMI58umtS0hsNHU4HnJp5qo8jq3bC5x89vj9I9mv5IXtjm99buTqpHNIZJ1bmBr+RxDuRxDXU5TwKqNlIuKkwiYRMItnHhsbK4da6mNtrcuo6gSDCVjacnRgveqH20kknbN1YzT4xqDKnW4YZQ6Lhp3pzFQ78AKACfsCBZLHSWkbn9r5aEClW83jr4Crk+7tqLaPT9xlnbrR2EkUrLfs3abF16AWmbreQNt5+r4GPmJ5ebh08vDcJTeQHhE2uzQ9OpNR0ZI2a5yDKpxMRF8Tp9BzNvJ12gxaxBjDp1BEyL50oQpgVMVEA8pxAoCIS7Z8Q9wY0RlxNB+bPh/4Ku0wuu+6rlMnFh8Ha4V+SvXtgZGzCStMhlcGiMnsAHK40rzENpxdQCqxLxP9G8Q9bcW5myn1BQ6ZdUZJlB6qV13AwlCkV7ZMKqKKJOk66xYN5mFYxSLt86buUlSCCH4BTVMQ4aeTgtI7YvDGtkrRtABx9DpFFG95DRm1GntsZ8jJibG0yrHiOxNrHHbP7RITw/NNYJI2t55ZGODgQwkUfRwzPc//AHO0P/2TtC//AKFrrPuf/wDJx/5pn/kqX1R9U2L/AOE8f/6C2Udc10jVrwjda19yJXDgmuOMVeMugIgj6RGR9OcKrlBQCnFFQIowFDoBvxh1/PmneeTiWA/wWD0goDeOF2L7qtljZSHSMx2HhJHRWPs1Tx40PIaeHiFMHP8A/wC67uH/APYWgP8A3iarzWvf/wArPtWeq1br3++rjff/ANpjf+eWa5weJfHLYvJnaCVF1pbq1TJtqwUlHsvO2U8G7RhiHKlJKwkew7ydsDtBucTGbtExKBegrKIpiKgbdtreS5l6uMgO800/3T6Cx7bT7e6i3G1L70aavLexvI4+d8kkxjeI60eYmM/OyuAPFrAG9HO9gNV1UcTeD1E4vsAk3Fmsu0tmO2wIyV7tzx2dJmUxOwu0qNcWfP2dbYq9R7RxUcvlAMJTuBT7KZd0WlhHa+VUul8Z9YeD1Vk82w2gxO3Fr1sl3d5TUD2gPubh7jThxbBEXObCw8fC+Q1o6RwAAxjnRpvl3yAqyOsdDW7VmuqJI9w5uU9YLfeIm7WIyCqa6EA1TrlBmWsLX010gO4MR4ou+6FTMCSIKpr/ADfQ3dw3qoCxsfhqTU+ZwHAer6sVvTpPdbXGLbpzQl3jcfiJKG4mlnuY7iShBETOptpBHFUVeRIXScGENZzB+pj/AAguc/8ATrqf/wDyduD+rPIr3nvP4bPwu/iq1v8Aqr75/wDT+O/9eyH+aLdLw2oHKTVeuU9b8lLLrS+krDdpH0m40+w2qWsTmESTFAkHbm9jpVbReHikSFI2fkXVXXRECLkE5O+UmbOO6ij6q4LXAdBBNaeI1AV4G0mE3L03p4af3FuMdfOtmtbb3FvLNJK6MCnV3Alt4Q4xgANlDnOe3hI3maXvrPyi8Lut7afSVx0nsq0aYuT9U7p3XySkw+1pKOTmAyhkYdq9RfVJVYwiJhYmVZl6dCMwERNlLdYpkpL4HFj/ABfk/wC56nmLYG5Xd0s9VzSZbSOUvcNmHmro2ySOtHnw/mg9phJ8cR5B/JVJK5xuT3HnaXG7Yv2Xt2YrU5a30a3lxe1+4I2tRViYxmjNSSI49HsEWdZu3KZAj9q2Mo3EopgYoD2dvXFvJbydXLTm8w1/u9FY8tzdAao281AMVq2e2uMpLEJOeK468lv4refm5ZmcGjl6xjeZtOWtCBHOnP8A1var/wCcij/8p4vNOP3Rvnj1VAaJ/wD3niP+s7X/ANPGuzvllS+S961zCxHFfZFY1fsJvdY6RmJ+1icsc8pqMFY20hDoiSm3gfTXE27jli/5omHYbn/TF/yFN43bLmSMC1cGyc3SfFQ+YfDRZed0cTuNmdPw2u2OQtcbn23jHSSz/iOtxHKHxj/J7nyjI6Jw8gcGnyx0OrBx30x4ltT3FT7ByB5Iaxvuoo/7g+7anXjrDMS3pVWm2UD6GB9N1Qv+Y2Zyycqf5+h+iRN/l/8Aiz01vBkWTB08jXRcagecafkjw+auN9A6S7xuM1baX2vNQ4y+0ozrevgiH5x9YZGxcv8A+HwfizGN5/Ot8lp/G/FM+cvNf8uL7EUlDidtioaqlo2SmVbk6txlCozEc4asSRDdl3dCvfVVo5SWMfqm38hw/Eb8ga93HdyBvZXhhFa18Pi8BW+91cJunmrG0j2tylpjL6OV5ndP0PYWgMa3/JrniHVJ8lvDwnoUB8d9MeJbU9xU+wcgeSGsb7qKP+4Pu2p146wzEt6VVptlA+hgfTdUL/mNmcsnKn+fofokTf5f/iz6FvBkWTB08jXRcagecafkjw+atiaB0l3jcZq20vteahxl9pRnW9fBEPzj6wyNi5f/AMPg/FmMbz+db5LT+N+KaW+PB/8ASv8A+3H/AOD+Uec/4r/hf+SuHO+9/wDwx/8AqP8A9wWgSAnpirT0JZ68/Xip+uS8bPQco1EoOY2YiHiMhGP24nKcgLs3rcihOoCHaKHUByBaS0hzeDgVYrj7+8xV/Bk8fIYr+2mZLE8UqySNwexwqCKtcARUEcOIXWr4Y3IXYfJyj7u2nsh4gpLPtwDGxUTHgslC1mvsKRVBj4GDbLrLqN2LdRdVY4iYTrOVlVjiJ1DDm6sZPJcsfLKfKL/QHAcAsqndy1/ntysFmNT6gc3tD8wWRxsr1cMTba35IowSTQEucSTVz3OceLlzMcuP/mt5Of8AaE3R/wC8iyZty7/Spf8AzjvVKxu7q/8AzQ1J/wBf5D/ncy31eCDrxeD0htbZLpsdubYGwWEEwUUTAvpsRQocwpPET/lUbhMWx8gHX8iiB8nMLHSF8n8JwH4B/uq+fuZ4B9jofJahlYWuyGQDGE/lxW0dA4HxCWWZvntcrkcNru32FsHm3Y2i3pDZPlPK1dBcOokWSoeuaBRSKJGFRXtoGCudUzAPZMToJQKAgUKuyf1kk7v/AOrT8AA9Zcv7T5mLO5zWN/AeaJup3wA+PstnZ2xpxPCsJoegihFBwXKby4/+a3k5/wBoTdH/ALyLJm2Lv9Kl/wDOO9UrFzur/wDNDUn/AF/kP+dzKveU62ErQcTOP+2+QGzSMNLp1R3cNfN47YwMbXNEiWi7ODsEQiRUpADv3rdKUeNiLlTEglKqH4yiYuVFtBLcScsIBeBXifEQuUNp9B6q11qYM0ebM5fHdXdhtxIWNcIpWUNAC5zQ8sD6UoHDygSF0QfGfGK//pPih/8AmZr/APcubg5sx/Bj/u9FX/dq72P/ACbSX4bj/wC1WdaxlfFJV2DT0tr1rjc21seeYFurirryprCjXhWAJBSIKvPuEhfFR/yO0Q4dfzDn3E7KdY3rRH1deNPF+FTmm7jvJOz1q3VUGmm6dMw7QYDN1wj8PV80hbzeeCrR8lHPJRrRYlTi1H69ktgGtjEkwhsk7pOCJThh500gq0Fo+j1BlizZY8EwE4l7kyv4RHoIVdybkRjsoaZK+HxUPr0XIu4Mm4UeGidtqzHSZ3tTesF7z9V1HJJzFvI5p6zrOqpxpy83CtFmOoFNqOtcw/74yRzDZh26pLGNfbR6MCi/MUOileRQl58VItHtACZnavfqHKYTpkKJS59QdcYh1/CXw06PQ4lTOmTqKTBQ/rV1TdQcn57qgBEH049UOeQ8g/J53cxpUgcAtAfi46v5dSg1C37Ba1G/6c144tIV6766q0pByFcTuS1dI5bbJhnU9YTMw611qk3foGBgdUTAcySiySOQOVjuzR0tHQtrQgUpWnSONOjzlYr3rdM7qXnZMvmWWl9pHHun6ue0hkjfCJzFUXcbpZqCkTA2ZlIyebm5C9jFotyFVkKut4c84Nf5s8en4KGTFxcnUH2imWKIhZq3OVsU+qACcSqhLdkQH8AgPQ/4RHKywdy3kZ/vqfh4euuaO7xd9i3nwM1ac1zJH4f+Ngmi8Hj56eLx8Krcb45M4LfSel633hgCW2lITgpdpYCnGv1KTYAoJCh3BjJhZhABMPbDtj2fIJ8l826kTGeNxP4B/uq7fvpXfJojE2NfdMqZKcf+Lt5W+dw63w8ePDwrmczbixwJhEwiYRWe13tTjZW6dDwt/wCKX7yray+IfFrr+/O+07416RKPnbD/ANHIWOXjI74dGLotP0Rx77uO9N0OcwZVRy2zWBskXM/x8xFfQC5JwGp9vMdiYrPO6X98cqzm57j3yubfrKvc5v5qNhYzkYWs4HyuXmPFxWa/vw4d/wBhn+81tH+ac++vs/5D/Dcpj9dNpfkV/PF5/ET9+HDv+wz/AHmto/zTjr7P+Q/w3J+um0vyK/ni8/iJ+/Dh3/YZ/vNbR/mnHX2f8h/huT9dNpfkV/PF5/ET9+HDv+wz/ea2j/NOOvs/5D/Dcn66bS/Ir+eLz+In78OHf9hn+81tH+acdfZ/yH+G5P102l+RX88Xn8RP34cO/wCwz/ea2j/NOOvs/wCQ/wANyfrptL8iv54vP4ifvw4d/wBhn+81tH+acdfZ/wAh/huT9dNpfkV/PF5/ET9+HDv+wz/ea2j/ADTjr7P+Q/w3J+um0vyK/ni8/iJ+/Dh3/YZ/vNbR/mnHX2f8h/huT9dNpfkV/PF5/ET9+HDv+wz/AHmto/zTjr7P+Q/w3J+um0vyK/ni8/iLxbLuLipJ1yfja7w2+17BIwsqxgrN/tDbHm/t2YdsV28ZO/Bn0Wmyl/hD1Qjj0VYxUnHd9g4gUwjny6a1LSGw0dTgecmnmqjyOrdsLnHz2+P0j2a/khe2Ob31u5Oqkc0hknVuYGv5HEO5HENdTlPAqo2Ui4qTCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMIrX8OeLEpy42421swuNepTJqwVnJ6TlnTdWZUhmihCu0qpXDOG7uyS4AftCQpk0W6XVVZQoAUp6q0tjdTdUCG+Hj6w8JXKu0G19xutqoYCK8gs7aNnWyue4GUxg0IgiqDK/x8Qxg8p5/Fa7fFwx8LseNnI64bSt09G3StVVA7fR64plLKCrOoroyU5Z48UQQYztejTGZI9yZRFc7k7kgJGKQhJyzxht7kyvILG/i+j4T53+6r4NoO7UzbncC81NkriO8sLdpbjiR+cHWgh8kzeWjZY2ViaWEtfzukAYeVrdUHiicrw5Gb3Xq1Uk/S9V6fVkKxWTtlOrKwWMyyaVuthRKIkcounrQjNkoAmTMyaEWT6ekKdYrJXXaZ6NP5pnAeb4z6PqBWud5ndEa+1scPi5ObTOIc+GOh8mWetJ5vERzNEUZ4gsZztNJDXZTK8i9E7j8P3X/ABWoWzYSa3nbNK6H1VGUZvH2E8gF0btqFEyUYsqWGFmUIpyzXM4UBUUiJonMBhKHXJB9zBNj22sbqzljG0oenh5iuQdrvRWrti7DbLC5O3l1nd4THWTLcCQvFxyW8b2mjKfmyHF5rRrWuNaCqlrxTKHfLJxo1tojT1PnLvNmn2c06iIFmq8fpa/1PT5AsrIejEV7RxSlJOJTITqoosusRBIii6qQZrZSN5tmW8QLnVrw8TR/uhbn7zGDz+V24stGaRtJb29dcNe+OMVcLWzheXuAqKkSGBoHlFznBjWue5qrpzF5y8W9k8ErTo+mbNUltpOKtqOGTqi1E2RDrBKVG7UGTsTNWUnKfGwbdSNZQTsxhUdFKcUuyQTHMUpqe6vbWSwMDHVl5WilD4CK+CngXHe8W9W2eo9mLzRmHyRl1M6CyjEBtruM88FzbPlaXy27I2ljY3k8zxXloKkgHQRrrYFp1VeqpsalSJ4q002bZTsK9IKnYK6ZKgcW7pNNRIzhg+RE6DlETAVZuodM34TDkHG90bxIw0cDUKxTTuoMnpXO2uosNJ1eTs5myRu40q3pa4AgljxVj21HMxzmngVciT8TXmHK7Na7RW2SkjIxjOTYQlVbQjAtBhGsqQEnItKoqRZm9kCpdSJvnxnb8iZhJ3/ZHplWcjdul63n8odA8A9Do9HpXME/eV3auNRjUjr9glYx7I7cRjssYfSpENTzP4UEkrpJACQH8pouizw7di8k9w6TX2tyKkGKx7nLEca4YNa5F11UtNaNgT+POEI5q2OolYZFVQzYVe12mrdNZP8AAsAm3BjpLmaEy3BrU+TwA4ePh4/WWQHYXUG4OrdGfrPr90XWXkvNatZE2L/Jw0ASOAAP513MWVrWMMeOD1qZ5b+KjyJpfI3a9L0tcau21zTrJ9rQpVqfBTKqr6AYM4yzLjKP2y6zxJW0tnopHKPdij2Ox1L0MMVd5O5bcPbC4CMGg4A9HA+Dxq1vdXvO69we4OUwmkLi094LO46mPmga8l8bGsmq934358SAEcOUClRxOwrwtOTu9OUNW29Z9yz0XNIVuwVWBrBYyuQ8ARqqrHTEhPGVNFpoqPDuCOGPQFS9EwT/AACInOASGLuZ7lr3TGoBFOAHjr0egueu7VuTrPczEZTK6tlhkbb3MUUIjibEAeRz5K8pq4nmj6RQU4VqaazeV/PDkloHm/vlDWGxnpak1tFfZqUSyM28/TVFIii1iJckbxEgUysKK7lmJ1Vo1Zku4OUDqHN1HrG3V9cQXsnVOPLXoPEcAB0ewrct098NxNBb0ZuHTl+44hlxCOyzNEtvVtrCwgMd5UdXAucYXxl7uLiamupK+Xi0bLudmv8AdJVxN2q3TL6dnJNycxjuHz5YypypFMYxW7NsQQSbok6JoIEImQCkIUAinvdI8veauJqVajns5k9S5m5z+ZldNlLuZ0kjyTxc41oKk0a0Uaxo4MYGtbQABeHES0hAy0XORLgWcrDSLKWjHZU0lRayEc5SeMnAJOE1UFRQcolN2TlMQ3ToICHkz8BINR0hUVleXOPvIshZu5LuCVsjHUB5XscHNNCCDRwBoQQfCCF2JcW7qlyb4sfGqFyI2S52BMxhI6duU0WjPbfrS/tkwcuIxesRlUhqurFJuFAFIirITP4w5DFXBQQVJuy1d2m1qyR3WkcSaVafOoBT1R4Vlz22zcW422gvcFnr9+Zmj5JLiQWrri0uQKljoWQRwcrSRQGL85CWuD6kPXocN9dczalLbHkeWm30L4gR4jAa9holtWSxTqORMm9e3ZVxDQUPIIqyAmTat2jkCKoAmuY5BA6Rs+rKO9Y5xu31HQBw/D0fg9Fam0+A3cxVxkJt0cuzIN6wR2rI2QtYWDynXBMcUbgX1DGxu4s5Xk15mlao/EO8SHcdY5ES+vOOW0FKvUddxyNZsjqHjK5MJzd8RdO1rGYXc1ESnZSghUSjhTS7IFctVxETdoALF5DIzNuDHbuoxvA9HE+H2PQVru/3eG1didfSae29yQtsZYRiKZzI4ZOsuuZxlHNLHJwi8mKjaUkbJzE8A2in+Jjzl/p/nf8ARigf/tLKH3xvf5Q+l7C4R/rI72f9Oy/+r2n+bqCd18md5civtr99GwH16+zvjP236bF1+N+F/cHwr4x3XwKJi++9O+Bte13vednuQ7PZ6m66M1zPcU65xdTo9H/eWx9Z7ka23C7N+uN8+97H1nU80cLOTreTrKdVHHXm6tn41acvClTWCs0FsddPHgef/Lxtf/nnc/8AIen5uXCe4P8Ab+sFko7mH/y8yf8A10//AJtbLR3vehWnaPOPeuvaTFrTVqt3JzbsLCxyBTCKzt1suygKqxylN3DNoiUyzhUwdhFBM6huhSiOQk7HSXr42CrjK4D/AMIqy3WmBymqN681p7CxmXKXepL+ONo8Zu5qkkVo1oq57uhrQXHgF1Jvlqf4fPCIUyOGi6On9dmasTiUjctt2RMGUMkKaXYKcAtF8lzKnDsnOg3VMc3aBMw5uY8uPsfNY38Lj7J9JZNJn4fYnZ2jS0wYjH0b0N6+6f0cKdM9y+p4GgcSagFU88E2Qey2iNyysm6WeyMnvOSkJB64OKjh29e06pOXbpdQfKdZwuoY5h/OYRHKTCkmB5PTz+sFxH3Obme90Ll7y6eZLqXOyPe49LnOt7dznHzSSSfNWly866bbd8R6/wCsHx3iUZfeZd3q0y4jlmreQaQUvuWXaTr1iq8Ko2K8ZQ6i6qXbIcBOQAAhxECjDyRiXIOiPQ6Yj8LlZ3mNOs1b3hr7TU3P2a91dcxSFha1wiffyCVzS7hzNj5nCoPEAAE8D7XOXgfP8L5OpuHWwa9eKrf3dgQqp0mzuGtqQV74ctIfGYJUHbD0ZuhNNC+ktniwHVOIHSRAU+3+3ti6zIq4Oa6tPHwp0j0fGq7ezY682fntZnZCC9xV8+QQ8DHcDq+Uu54/KaWta+MGRjzVzqFjKt5sL4IbG3TQeRVVitCuYRnedqFb6rVfWCDLYY+Or89YICZmJZSPM7ZdosMSukeKmBQDejoKFDymz4spJo5wICBI7yeivAkewojYvUGsMHuHa2uiDAMzlALIulj61jIZJYpZJOTnjr1Yh6w+UKta4DiQt6Nssvig1bdetdPzOy9Bs4TbslbomobMh6Ui9TQd1Klzt5cN5SpyTlGZau3MZAHTEU0nbNJRQAFcREoGmnuyjZmwueyj60NB4BXo6fSV7uUyXeOxmscdpW7v8A3HZWWeOC8jtnO5XQW0tzSS3fKHhzmROHk9ZG0ni+paDiW8+QvKzhzsjRbfkpyJgp/V+zZG3hPPtV6Zq6djiGVOLVwVAE55JRLuHy9qR7xVJJysiiioJEFVDEDPiee8s5GdpkBicTXlaK8KeMeaovWu4O420mosJHuJnbefTOSfcda6zx8YljEHU/yj3eS4zt5nNa9zWtdysc4imxPZslsrc2omN94ebrq0dLu49SVrLx7BwFro90SMmJixUi6esF5auSAKl7sFiCPoqnaTcNRN+JKRlMs8IkspAD4OAIPmcRwP9xC571Dcag1XpZuZ2ry1oy8fHzwPfHHPbTilQx5oXxknhztJ5DUPjcejntiee/iU3Xb0PqFjtWBp1ynLUvRWcdJUrTsbXS2Vg9WjXbYbDN1OXarnGQSFEooOliLqiQiAHMoQDQDb/IvlEQeA8mnQ3p8+isKt97e8ZmtXw6RiyVvYZee5dbNY+3sWQ9cxxa4ddLDKHHmHKOR7g53K2MEuAN5Oam2/EA498RazGbEktb2ecuUrL1LZO3qLHrqv4OJlmonh4V1Cq1qCrke+mkTuWp5ds0TQIKREU0k3CiTlWtvZchBaBspaS4kFw6aeLoA48eIHp8TzXvDqvfPQG1FtHmpMfc5K6lfBeX9swkxMePzbTGYo4mukHMx04Y1gIDGxtkeyQ81+beWORXB4ZcS9o8sNju4bXU61pbSktmM/ZL+8VekCrg4dHShwjUYw6Ug8n3zhqqZqmRRAvZbqHMsn2Q61dpaS3cnLGaAcSfF/u+Jcu7ObV6m3R1C+30/cNsYbFrZZbol1YeYkR9WGFr3SuLXFgDmABjiXtoAbgc2vDa3rpDWyu1XO8JLf1KqCiBrAnNtJ+KsFWRl3bWOGXYQsjZrkzdRIOjoEdqpO0lkiiU5kjJEUUTqr3GzW8fW8/PGOnwEV8yp4eiuW95u7zrnSOmzqebOTZ/E2ZBlbK2ZksIe5rTIyN81w1zAeXrHB7S0UcWlrXFun7IpWjphEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRZBVLXZKNZIS4U+bka5Z65It5WDnIpwdrIRsg1OB0XDdYg9QEB8hij1IcgiUwCURAfprnMcHNNHDoKkMTlslgslDmMPNJb5O3kD45GGjmOHQQfSINQ4EtcCCQutzg9zLqXOPU1got1InC7WjKy5gdkV6NfLRQ2CDlmRoZzdai4YrN5Bgyfi6Ei5UTlXinhylA/YO3VU3VZXjL6IxScJaUI6KjoqP7uH4FlX2X3exe8+lp8VlQINTxW5ju4WOLOsY9vIbiAtIe1j60IBD4ZDy1IMb3c6Nr4jpu+XE3xe0/tOgXQxp9xFVa2TM8SJiV1yo+lGrUvJNmTpotboj8bRyixIsVd2gYiRQVHuCbefbf5WbaJzXcaA14f7/g4eHoWP7KbSNm3Xn2z0jlLC7PWubDNLLyNqBUwSOaxzTcR8WPbGHBzmmga6sbd83FfgDpPgewe783XsCEnrxARToT3CZKlC0igIOkV0Ho1Zq9Md++nJBosZt6WqPpKqZxSbt0hVUBWdtbGGwHaJ3AvHh8A87xn+4BXwbYbE6M2ShfrbVd9FcZuCJ1bmWkVvatIIcYWuJd1jmnkMjiXubVsbGc7w6rqHjSJt+TswLmvLPuLTkrStRooxpE7vHnYLu+82S3TUM3WcpTSzn9PEriB02CKApd26IuRxS+/BFySRW16PN8/0fF4vN6eM2d8KBm5MrZIC/bJwbCxwZS4aWl1bwDgS2QmjoHeUImsc3llD2SSr4hnDTR2/dSy/MDUFrpdZsSddSt7+yjLx8TQtpwgJmEov3i5m7OPu7o5yoNXRuwo6dAVo6L3hiqoauQtIJ4TeQloNK+Y7/wDm9U8DxW6t+9n9G690vLuppa5s7bJttxO6frGMtr2IDhzvJDWzng2OU0LnUil/JdHzNpgmKiYLGORITlBU6aZVVCJiYO2ZNIyiJVDlL1ECicgCPk6h+XNuLG6wMLwJCQyoqQKkDwkAkVPiFRXxjpXT5w38O3hEfX1N5CmmpPd0TLxSViYP9kKxcTToFZl3reVazFOYH+GC+hJNBw3et5R5JNUlkBAAHsAobclnj7IxC4JL2kV48APPHmeGpIWS3aTYDZgYS013FJJmraaMSsfdljYIy2rXh9uyjOaN4c2Rk7pmse2g4tqfn5z+KdrzXFWnNU8abAxt+yHzJzBL3qtqJLVDXSIpJtzuYWTTTNHWOwJN1DFaehGVZM1S9tRQx0+4OvcpGxhitTWToqOged4z53AektHervM6f03jZ9M7e3DLzUr2OjNxEQ6C04AFzX0LJZQCeQR80bHCrzVvVu1V+H5w/wBYczpPZNZuV5u1PulSbRFmjnEKELJMJ2vyThzHy4umkmxF6hJRcsLYwrg5ORYjwCimQxO0pF2FpHeOcxzi14FR4ajw+srY9hdptMbwTZKxzd5fWuZtOrla6MxObLFIXNfzNewuD2PDSXc5DhIBygtq7pD47aA1HwN0fYoRvbnCdWZSsvsC83y7Oo9kJnKrGPYKOXB26TdqwjmUZEt0UUCdoRUAxg7Sio9dxW8EVhARzeTWpJWQnQGhNKbJ6NnsLe5c3Fslkuri5uXNbxLWtLnEBrWMayNjQ0DwE8XOJPHZvLYP72NzbV2aAKkRvmwrfa2SKwdlRrGzc6+fRjIxephL6FHrJIgAiIgBPKIj5c2jNJ1srpP4TifwlYk9cZ/9atZZXUjSeqvb+eZleBEb5HGNtP71nK30OKizNNbVW1nw+OB+kuYUHY5G1bkt8HaKhIpJWDXNdgYKOkkoZ4IjF2CMs0q+sCclHSAlOicTRaB2rpMxDFOQySisnYWMN2DzPIcOkAeDx1/3OCul2F2O0Vuzjri6ymWvIcnayhstrDHExzWO/ElbK8zc7H8W1MLCx7XNII5XO326s49cRuA8DM2yJfx2uySceVlYrvsG+OheTrRkoRwk1UTk5BrCqLJLmAU0WLJNQyinQpRE/QZ2K3s7BvPXlJHEk9PrfgCvl0xoLa3ZGwnyVi6LHRSMAmuLm5dWQN4gEyPDOBPBsbG8TwFTxi2F8WrhbL3iSpyt3sUKwaLoNo6+TFQl0aVPLKmUIcGLhqm7n2CCChAAy8jHsm/Q4GA4l7QhpDLWZeWEkDx04H1/whbXs+9Hs9d5qTDuv5oYmODWXMkEgt5Sag8rgC9oaRxfLHGyhBDiKkfcvxQ8NTkn2pWs1bS1ldSC6jwXupLsSvuhdHEguRXj9fWOMQ7/ALSwd6ku3HsnP1MUD9Bz97LjLg1YGE/3pp6QPrKpl2u7ve4re2WFph7pz3l3PYziIl35XN2SVlTU+U1wPE1I5uKwGU8Gnhy/IsVoG1YQyqApEUi7w1VO3UEDADlEJqvS6ZlyiPUAUKon1AOpB8vXTOGtD0F49EewoC67o+0Nw1zYo8jAS2gLLkktP8IdYyQVH98C3xhRja/Bq4cUqr2O42TZvICOr1TgpayTsgrbNbAkxh4Ng4k5J2cTaoKHZbs2xzj5Q/Jnw/EWcbC9zpOUCp4jwf8ABW2Ml3Q9o8Rjp8rkMlnYrC2hfLI8z2gDY42l73E9i6A0Elcz06eDUmpY9ZbyrSunknpoJtOvGkhNIRAuFBjkpZ9HsYxi7kiNOwCyiLdFIynUSkKXoGbbNKnl/FrwWOW/Ng6+mOLbM3GmR3VCVzXSiOp5BI5jWNL+WnMWta2taABdMfgef/Lxtf8A553P/Ien5uTCe4P9v6wWR3uYf/LzJ/8AXT/+bWymnhVrnjS03Ly82xXZn7h3hH8gt2RuwnFqYM4l1rSLX2Jalk2Nbbi9fIErsu2bnUUmAWBR6VIyahG3dqNi6tlHbdfNKDWcSOrX8kVPR5/j9Rbz2d09t3DqvVWp8XL2jWbc9kWXbpmtY60abuYiOJvM4CF4HN14dWWhDhGWmJmobxRuckfyPuLHVGr5MXmnNdSaztWaaqKg0v8AdCJKslZxuUewRevwTdZVtHH7P6cyq7gpjJqI9mJyd6LmTq4z+Zb6Z8foeD0fGrT+8xvVbbgZVmk9MS8+k7CUudK0nlurgAt52/woYgXNjd0PJfIKtMZVtvBI3LR4mr7Y03OWCIhbU+t0beK4wlHjZgvYmT6GaQMmjEmcuSA/dRS8O3MogmTvQI5A4dsva7urw0zGh8LiA4kEeb4CuVe5nq3DQYjKaQu54osq68bcxse4NMrHxsidyVPlFhjbzNAqA8HiCabKIvw+uMsDvZfkg2rs8Gxj3ac2Qs5eWqScQJLXOupCSkZX4SucyCZCSUiq5ST7QJIqgXsgBSgUJEY+2E/aaHrObm6eFelXEWmxe3FhrV24UFrKNRm8lui508hj66Uvc9/VlxaPKe5wHQ00oAAAtIHjI79p+191UTX1JnGVkjtP16abzcrEvW8hEEttwdxjiWimbtodZs5Xio2BYkdGIcwJuTHQMBVEThkLl7hk04ZGatYPTPT6gVmHe81xiNTavsNP4eZlxHiYJRK9jg5gnuHRl8YIqC6NsUfPQmjiWGjmOC/3wfp7jbTduWC07WvcVW9sLMy1vVUdZ0hia+k3lyptpuQZ2h0uWJ+6JcHJY9s0W7hXuDLAkKxlxKkxLrZkxfM6kvQ2vRx6ePj8C+u6Ve7eYjU1xktS30Vvqx7RDZMmHJGGvoJHMmcerM0pcImRnlfyh/Jz9YQ2we1ObVFsHip6SkXdlZIad0O7t+tCWNV2mSB+6rzU7JVrZaPT/wAaCcQ3nZNgyUcCINzIRffgfujAfNeW9Y7KMcT+ZZVtfBUggnzqn8Aqt+6o3iwl/wB53CuluY26Uwbri064kCPtFzBLDNLz9AjEjooi40bSEvrynmWyXmjwgqPN+P1i4kdiy1OHX5rS4h5CAjoywR8ywuiVbM875Nd016mTNWGxm6yS/Y7B1AMQ/aKYkle2Tb0NPNy8tfBWtaewrhd39mMPvLDjn3t9PaGwMxjdE1kjXtuBFzVDvF1LC0tdShdUGoIr9rfwv7rqOlXjXuu+Zez6vUdhtStrHEx1Qi00hHqmRy8iDjYzKQMnIs0waunLMUV3DXokoYxSk7NNHi5ImOjjmcGO6RT/AHVsrTfdxyeksNe4DT2rMrbYu/bSVjYo+B8Lojz/AJp72+Q98fK5zKAnyW0keU09oHglwltFYvLiB2BC1VvbbNEuNgwsAs9tOyJpNRavsq9ELlVK2lzvmzNFt6OoZduVDvzKlKmY5NR0FvY2RbJR1KkVA4uPRQfg9Vbhl0vobZHZ64x2XdFe46zbNMw3TIi6a6eS6JsbCKCQvDGx8p5m8ocXChcMU1tyZ0Tyg4DpH5MbGpNRVtNXl9abDWsE3EMJEblBlK1b2WGilV03TubcdhlPN0WyJu6XUACl7BM+Y7mC5sKXTmgkcpr01HhA8fQVFac3E0VuTse2fcS/srRt3bPs7syyxsPaI/J6xjSQesdRlzG1oJaXCgoFygSLVJjIP2SD1tJIs3rpqjIsu99DfpN1zopvWnfpIr+jOiEBRPtkIfsGDqUB8mbXWLO6hZb3UlvHIyWOORzQ9teV4aSA9tQDyupUVANDxAWyHw1OatV4g3u9NthRUs9oG0I6utpiTgW6L2Vr8vVHEyeEkvh6qiB30YZvY3qbhNJQFgExDlKoJOwMjjr1tpI7nBMbgK06RTo9Uq4fu5bxYjanN30OoY5XYPJxwh8kY5nxPgMnVuLOBcwiaQO5TzA8pDXdCvdz18UnSOytFWvTuizTttl9is0YabssnAPq/CV2AB60dyZUW82k1lJKYkkEBbJFK3IiiVQ6oq9shEz11/k4ZYDDBUl3SaUoFzhvh3mNFZ7RN1pTRDpry9yMfVSSuifFHDESC/hKGvfI9tWNAbytqXl1Wta7nkyAVgCYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCL361bLRTZFSYqNjnKvLKx8lEqSdelX0M/PFzDNaOlY87uPXbuDMpFiudFZMTdhRMwlMAgOfTXOaatJB8xSOMy+VwtybzD3M9rdmN7C+KR0bix7S17eZhB5XNJDhWhC86Lk5CFko6ZiXjiOlYl80k4yQaKGRdMZBg4TdMnjZYggdJw1cpFOQweUpigIZ+AkGo6VTWl1c2N1Fe2b3R3cMjXse00c17CHNcD4C1wBB8YUq7g5B7q35LJzO4NkWW8um5jHZNZN0m3hIw5gMU5oiuRiLGvQ5lAMIHFq1R7X5+uaks807uaVxcf7ugdAW6NXbgaz13cC51bkbi9e3i1riGxMPHiyGMMiYTU1LGAnwqHM0ls9ZwpszYKuvm+qVLjYD63aWBa1NqUaScDXkbC4blaqyhI/t90DgUij0D/IKcxzgAHOcxvvnfydXU9XWtPBXxqddqfULtPN0m68nOm2zmYW/MeqEpFC7l9On4ocS4DmJJwfPhQSyY91uSlXQpCltsylLau1pBtUDz0qart37lRNZw9QgDOxikna6qJDHUKkBzGKAiIiAZ9czuXkqeTxeD8ClDnM07FjBuvLo4Vri4W/WydQHE8xcIubqw4kAkhtSePSsZz5UWsmql2udDkVpejW6z0yWcslI1xKVSela7Irxyy7Z0qwWexDtm5VZKuWaKhkjGEhjpEMIdSlEPpr3sNWEg+YaKTxWbzOBuHXmDu7qyu3MLC+CV8LywkOLC6NzXFpc1pLSaEtBpUBetadqbPvLYjK7bHvtwZpnTUTaWm4WGwNiKJCoKRyIS0i7SKdIVTdkQDqXtD0/KOfrpJH/AI7ifPJKrMpqvVOch7PmslkLy3qDyz3E0rajoPLI9wqKmnDgsDz4UAmEUg612vsjTs86s+rrnPUWwvYd5AOpmuvTsJBWHfrNHLtgLhMBOVFVwxRU/D0MVRIpiiAlAc+45JIjzRuLXUpUcFuHTWq9R6Pvn5PTF5NZZB8LonSRkBxjcWuc2pB4EtaeHEFoIIIXg2i4268SZpq6Wqx2+ZOXsHlrROSdgkzkE5lBIZ/LOnboxRUOY3QT9OoiP5Rz8c5zzzPJLvN4qgymZzGcuO2Zq7uby7pTnnlfK+nTTmkc51K8aVWOZ8qNTCKRYbcG2q6VItf2jsWCKgBioFhrtZYsqJTEBIwJAyk0ATAyYdkenTqXyfkz7bJI38VxHnErctprPWFgA2xy2Tha3oEd1Oyng4crxThwWRSPI/kPLwUlVpbfO55OszDR0wl67I7RvD2ClWD1MyT1lJRDmcVj3zR2kYSqpqpmIoURAwCGfZuLgt5C9/KfBzGnqqsuNxNwLyykxt3nczLjpmOZJE+9uXRvY4Uc17HSlrmuHBzXAgjgQoYzRWzlNOtORu9tNRD+B1Xta6UKGk5E0vIRtamXEa0eSZmzdmZ8ukiIFO5Fq0TT7Q+XskAPzZqxzzRCkT3NB8Rot66a3G1zo6zfj9L5O6sbKSXrHMidytc8ta0uIoePK1o84BYQvsS+OJS7zSlxsgSuyvigbBfIzD5uvcyTcunPS6NlM3WSCYbyU0kV0smuB01FigYQ6hnyXvJLiTV3Tx6fDx8fFQj9R5591fXhvLgXWS5+1ubI5puBI/rJBLykB4fJ5TmuqCfAsNz4UKmETCJhEwiYRZbB7AvlZaiyrd2t1fZCPaFpB2SZiWom7ainUW7B63SEe8VOb8n5TCP5xz6DnN/FJCmrHUeocXD2fGX97b2/8GKeWNvST+KxwHSSejpJ8a9r98e3v6VNkf6cWf8AnTP3rJP4R/CVW/rtrP8A6Xyf/rU//wBosWnrVZ7Uui5tFjnrI5bEMk3cT0xITC6CRxATpoqyDhwokQwlARAogAiGfJcXcXEkqJyOXy2Xe2TLXVxdSMBDTNI+QtB6QC9ziAaCtF4OfijkwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhFJGn69XrXs2mV21L91BSsyk2eJenJxXxJUElVWEF8WW/QQ/3FIppMPTD/gaek98b8JBz7jAc8B3RX+7zvP8AAt0aKxuNzGqrHGZd3Lj5pgHDm5Oc0JZFznhH1zw2LrD+Jz83gU/wmtHruZu6ktxtTZ7BiKfXJOp8fiIbibGmmkjaTxE5cVYBzeF9rP1IhgkHRg3k0epFyvxILNuqVTWDDzGsflgcG+V+Hp5vQr5vQFyDY6XlmuL+S800GaihsoJLfFAZAda19wY5bkxG5N84xtFOqbM0UcJ+XqmO5s1jdE6vf2mZQi4087WqTuSca7Bdt59+8aU3XCdEbTJW9jmY942atoGCtjORjiTnRuR+q1N2VRE6ZA/REwuNOLQ7j5gp4T+EV8K3Ha7f6Qny08dtF1+Msc3K27cJnlttZiz63lmkY5obFFcNlhFyeTrHRkc5qGr8k9e8e1m2jqrKNoCPt1vitWTr0kHMbDZ2CW+M1qekrDGXuYtj1fXEA1t82aJZxK0IQFGIOFVnfdkTAin7yw0Y3hzGnRWvR4SeArwpTo8K0Y9NbcPbgcTetgiy97BYSuEUl22WQyQzPmZcyTuNpEy4l6iOA2wD4y9z5OVraO/qN1Dq9WQSV2nRnGnpJ7pi9z1kpLNxeEFtdS7K7RVXpWxFIW3zM1b0W7hpJncrQr904M9QZmWQ7tN627p1bK/nG8h5Tw48ONAeNT6B6fRCWWi9KSzNfqqxOHupMHdzT2zTdA2b2XUcFteGO4lkuAHMe57reV7xI2MvYGtlj5Y/ltSU+G5QSeq3cc2UrUTBPfSWrKcePWakkx06pY1n7Scbvzqu2xrGkLpM5FhbqF6FKAoiBM0zG1sxjPQB63j89QFzo7B2m7UmkpYmnERQOq1sr3N5244zFwlD+Yjrhzgh3KRwA5PJXsE07Ri0+KuTiCUSr9iqmimUBYDSsoSIlb/N2hlH7Piop6L/ANFfTrKOYPxesSGOMaUDH7pH9GIfvVt5eenkkCh83w+uq+PRWnPeaDMyW9LG5tMS2KXrJOrku5bgMvo43c/K6VrGS9ZEKmEAu5WeSVl1voGk3Ww7tA6vosHerpRIy1JstV1Bbc69RuUo12WxgWLNonZJ5ltmfsdUorl2+lm0W8atllm5F25jtGr3vtRzIjIRGA5wrwHNQ8fN8okCpNPFXoBrIZjTuhZM9fWGl7GG+z2PiuA2wgORMFw9t62JjW9bK2+lmt7UvluGQSMY9zWviLoopuf4m2g6lPzLNhW6ZJSMww2fpU2zanFObHIm1jU7ZTjyux6/MKEfLvYqu1ezEXauZB8qLyGFIrR47Bymqor8iEOdRo4gtqPECOPnAHhx6Ogmq+I9vsJf3UUGMspJb9mWxvbreN07zY29xbdZeQyEPLmQwzB7HzSHrLflEUs3WNe53luqbx3ZavrS02rXoaVu0vaW0LZWTjZkjeG7dhuFvAsJ0W5nx9WFosZQ2z30gFkhmXDoifdF6GMqT85YREK05j4eNen/AMGlK+bVU02C21g0zayXxggnv57lsU7HXj7kBmSbEyUAuNj2aO0EnWc7eve4N5Kklwy53pqmNLJDEm9DTsM8++dgVyta/rat9t0rsmixNfTXgNljBK3SMsN1YQ8qsidy6rMpDR043WUVYkSIxcFV+zG0OFWEcTQCpqKcD08fPBAPg6CpWXROCiyEfb8DPDMMheQQ2sJup33drHCDFe9U65ZNdMikLS91lPbx3LHudCGtge10eV7UlfHlnDa3s1SiXleflWfrUiot9i9ASPQXlgj4U0BY7PGbNj7F6WikLuHdyyDxN4J2xXAJiRQfhsY7SGOHDxCvirShNa+ZXp8K23jtHY3/AFuwaZylpC/GStLzbQdrHDsj5WMMU0zb2ObmDXSW8k7ZGyExiTk5XKZrjojW8XR9qzlU05abDYW6FC+HQzalbOlpfWDmd1rNSs+jcarH7pbP9VqNbDHi5J8cd3UEkConEp0VhSLquiYGvLWkkU8B8nga1HNw4+PmW9M3oDTVpgMlf4nDXVxkwLXlibb3sslm6WyfJILi3ZkWvsSJm8/+UyZHkbyGj2ScjYBOXW6Nf4zuzaeoRnVtdSRLs4UnttgazIRlqkaUmaRTJtBNCLK5R7L9Q0aRh/nyBex2GveNj6NWBrPIbXw8XceNOPlepRbA6nTLcfpaY4ex62/lkFyTLf8A51rLh1sOYdtAZzAiVxiEf51gpSLmidJtP1rQbPauUZo7RziyG19PxkBQ6RRoHbewgiyFnrLBqvVYuO3NVbWsk/LDoHdvnMq+RaKqGFJmYhipF1GMY50lGVp0ABxp/hA+jU+cty4fS+ncllNVmDBuuTjbmOG1traO/u+QddPEXGNmRgndziNpkkfO9sZJLIqEMGJ/ubpCVRjLe7gFUIKfqui2EHOqSkqnFSewpm0M47aMRGPDvgbPJ5jHsH/prAonNGlKY/dI9ExDT6tvLz08kgUPm+H11Qt0Rp5uHgy81uW2VxaYlkcpkkDH3ctwGX8bHc/K6VrGS9bEKmAAu5GcCstt9A0m62HdoHV9Fg71dKJGWpNlquoLbnXqNylGuy2MCxZtE7JPMtsz9jqlFcu30s2i3jVsss3Iu3Mdo1e99qOZEZCIwHOFeA5qHj5vlEgVJp4q9ANa/Mad0LJnr6w0vYw32ex8VwG2EByJguHtvWxMa3rZW30s1val8twyCRjHua18RdFFNz5HXtK6V+E31acrkAWZQXr/AKXUHMxso91qky60lP3u2641gSJmCV57c4C1sDJot7ao5OiRqLBQzqQTUTXNjio7mArw4cajySSB4Kg/wvFTiemWx2hdDmzvZb21hN6Hx89v1l4bm3kOMlup7KyDJOqfcxTsIa29L6Bht3mS4a4P1u5Rq2NMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRTfxvNVybppJ7kjWnNdIpOmet7g6qrKuOFy1iaGLRknt4aSFQaArLAgVJWSQXaJrCQyiZyh2R1YOXrRzUp5tKenw/DwW+9sziRrexOcFq7GAzc4uDA2EnqJeQPdctdA2snLymVrmB3KS09ClSRuLKIhuR8Y+htNM5WRZ1N1UGpIHjhsCQY/F5OBiJhvT7pQaQxrnpqFX6nXCARYgzcd857pF336uahfTnaQzj0cGnxdBAp0eKn4VuyfL2tpj9SwXEOGZevZbOtm9Xh7t7esfFHKLe4tLZkJcIOLhbNj6p3PLysm53nKtcXKjSz/AIvRVnjdLHZsmF/WupHVQ0nU13UhEpW6JpKF6tMnUwad46aA1FM8+Lpq4XFF25SXOBTj9RvaTG1wZQVrwaPHSpI9WvjKmNM5jTt3NpW2yseE6prLw3XNb46Al8YuI7UXUz4AAXN5OXtPMx7+SWRsjqOXzxcRTrHYpBObR07ASsPvPWlrnGz+66EGIJqRKDeJzbKLn6O1qOubeg2FJEZKKgWQOXLhQBMyUXBXs/gDXPNeUEOB6W0p6FAfNA/AtKztcFkr1zL5uGt7yHUFlPK19ziur97xERK1kts23s7hoIBmgtY+dznAuhc/mKplYV451YJxzEJFRiXExJrxaJEu4KlHLPV1GSRUA6AiVNsYoAT/AIoB0ymNK8OhcKZWS1mydzNYgNsnzyGMAcoDC8lgDfBRtOHg6F4+fioEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhFiklb42LerMHCD46yHd9syKTcyY96kmsXsidymYehVA69QDy5TSXUcbyxwdUed7Ky+d137FfvS97XYrBd4PbjP6AstGag7b2eHJX2XhvWdhyF3jZuujtcHeQN5p7OV8fJcyVidG53I8ujb8P3/DerSfmWvvmfHbovE70vZXP/wB3J77vyp2r+Es982k+/wCG9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982k+/4b1aT8y198x26LxO9L2U+7k9935U7V/CWe+bSff8ADerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982k+/wCG9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982k+/4b1aT8y198x26LxO9L2U+7k9935U7V/CWe+bSff8ADerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tL7o23xso9RYN0HxFl+87Blkm5Uw7pJRY3aEjlQwdSpj06APlz7juo5HhjQ6p872VwB3ovsV+9L3Stis73g9x8/oC90Zp/sXaIcbfZea9f27IWmNh6mO6wdnA7lnvInyc9zHSJsjm87w2N2V5UrEGsbmLOwhXJGrpF4ooogVwAt00TkAh1FUwARUcJG7XaSH83Tp08uaEtyyF3K4GtK8P99ZPe5X9k93iu/btZf7ubR5rRWO03jtQT4eSPMXeTt7l1zb2ljevexlliMhEYDFkIWtc6ZshkbKDE1rWPf5X3/DerSfmWvvmaXbovE70vZV333cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982k+/wCG9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982k+/4b1aT8y198x26LxO9L2U+7k9935U7V/CWe+bSff8ADerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982k+/wCG9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982k+/4b1aT8y198x26LxO9L2U+7k9935U7V/CWe+bS/drd4p25btU28gVRyui3TE6TYCAdZQqZROJXZjAUDG8vQBHp+bPpt5E5waA6pNPB7K4/3Y+wQ74Ozu1mpd3NTak21n03pXT+RzF3Ha5DNvuZLbGWk17Oy3ZLp6GJ874oXthbJNDG6QtD5Y2kvGZZVLCIvCmp9nBejelpOVPSu+7v0YiR+ncd12+33qyPTr3wdOnX8+aM07Iac1ePiV/vcZ+zk3u+0A/Wj/U3ldK4z9Uve3tnv1c39v1nvp2/s/Zuw4zI8/J73T9d1vU8vNFydZzP5PD+/wCG9Wk/MtffM0e3ReJ3peyr/vu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/AIb1aT8y198x26LxO9L2U+7k9935U7V/CWe+bSff8N6tJ+Za++Y7dF4nel7Kfdye+78qdq/hLPfNpPv+G9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/wAN6tJ+Za++Y7dF4nel7Kfdye+78qdq/hLPfNpPv+G9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/AIb1aT8y198x26LxO9L2U+7k9935U7V/CWe+bSff8N6tJ+Za++Y7dF4nel7Kfdye+78qdq/hLPfNpPv+G9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/wAN6tJ+Za++Y7dF4nel7Kfdye+78qdq/hLPfNpPv+G9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0s5ysWAReTMTDaFbEdOiLqJqLlbgDcqZzgc6aqgCIKKpF7PZSH8/Xr08macsrYW8zq0rTgrvu5X3K90+/bunf7R7R3+n8dqTHafnzEkmYnu7e2dbW93Y2T2MfZWOQlM5lyELmtdC2MxtlJla5rGPxz7/hvVpPzLX3zKft0Xid6XsrJ793J77vyp2r+Es982k+/4b1aT8y198x26LxO9L2U+7k9935U7V/CWe+bSff8ADerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982k+/wCG9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982k+/4b1aT8y198x26LxO9L2U+7k9935U7V/CWe+bSff8ADerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982k+/wCG9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/w3q0n5lr75jt0Xid6Xsp93J77vyp2r+Es982lmLVwR22bukwMVNygi4TA4ABwIsmVQoHApjFAwFN5egiHX8+VbXBzQ4dBFVhD3Y24zmzu6epdo9TS2k+pNK6gyOHu5LV0j7aS5xl3NZTvt3yxQyvgfLC90LpIYZHRlpfFG4lgOnBGjZw6UAxk2yCzhQCAAnEiKZlDAQDGKUTCUvk6iAdfz4c4NaXHoAqm0+3Gc3i3T01tHpmW0g1JqrUGOw9pJdOkZbR3OTu4bKB9w+KKaVkDJZmOmdHDNI2MOLIpHAMOHff8N6tJ+Za++ZSdui8TvS9lZvPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/wAN6tJ+Za++Y7dF4nel7Kfdye+78qdq/hLPfNpPv+G9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/AIb1aT8y198x26LxO9L2U+7k9935U7V/CWe+bSff8N6tJ+Za++Y7dF4nel7Kfdye+78qdq/hLPfNpPv+G9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/hvVpPzLX3zHbovE70vZT7uT33flTtX8JZ75tJ9/wAN6tJ+Za++Y7dF4nel7Kfdye+78qdq/hLPfNpPv+G9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0n3/DerSfmWvvmO3ReJ3peyn3cnvu/Knav4Sz3zaT7/AIb1aT8y198x26LxO9L2U+7k9935U7V/CWe+bSff8N6tJ+Za++Y7dF4nel7Kfdye+78qdq/hLPfNpPv+G9Wk/MtffMdui8TvS9lPu5Pfd+VO1fwlnvm0sjh5htNNjumpF0001zNxBwVMhxORNJQRAE1VS9nsqh+fr16+TKiKVszeZtaVpxWMLvqdyvdPuJbp2G0e7l/p/I6kyOn4MxHJh57u4tm21xd31kxj33tjj5ROJcfM5zWwujEboiJXOc9jPWzUVoKYRMImEUHXD9o5H9U9ha5D3X6Q70PUC7+v2J39mPtn+0X9K86sZynWVJMImETCJhEwiYRMImETCJhEwiYRMImETCLJqf8AtHHfrfsLrKi1/SG+j6hWK37bH+zH3M/Z3+leCU45MLoFKIb/APOW30xH2p5kXfe6j2vrld0z93J+pFqn6VMl8Q6aWDZRrP2mETCJhEwiYRMImETCJhEwiYRMImETCJhF6cL85ifqbD2pLNSH3Vvth6qtW79X1It4/or1Z8Q5BWEycXmwqM9ifxP/ACh/Acj7/wDI9H1l2pP3Zv8A21/sf/pSo0yPXajTCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRWXzcC8rhYNf/kzb6mj7K8yjvvch7b1is/f7uT9d3VP0V5L4+00ohyLXdMTCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRWEhfk0T9MYeypZOQ+5N9qPUXmw9+r67u8f0qas+Psgk18mlvpj/wBlVxN7k72p9RO4r9d3Zz6VNJ/H2PVe8g16TyYRMImETCJhEwiYRMImETCJhEwiYRMImETCKXqB8mc/U1vZWeSlj7kfbesF0s/3jb67ulvorxvx9qVZzlYsAiYRMImEUHXD9o5H9U9ha5D3X6Q70PUC7+v2J39mPtn+0X9K86sZynWVJMImETCJhEwiYRMImETCJhEwiYRMImETCLJqf+0cd+t+wusqLX9Ib6PqFYrftsf7Mfcz9nf6V4JTjkwugUohv/zlt9MR9qeZF33uo9r65XdM/dyfqRap+lTJfEOmlg2Uaz9phEwiYRMImETCJhEwiYRMImETCJhEwiYRenC/OYn6mw9qSzUh91b7YeqrVu/V9SLeP6K9WfEOQVhMnF5sKjPYn8T/AMofwHI+/wDyPR9ZdqT92b/21/sf/pSo0yPXajTCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRWXzcC8rhYNf/kzb6mj7K8yjvvch7b1is/f7uT9d3VP0V5L4+00ohyLXdMTCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRWEhfk0T9MYeypZOQ+5N9qPUXmw9+r67u8f0qas+Psgk18mlvpj/ANlVxN7k72p9RO4r9d3Zz6VNJ/H2PVe8g16TyYRMImETCJhEwiYRMImETCJhEwiYRMImETCKXqB8mc/U1vZWeSlj7kfbesF0s/3jb67ulvorxvx9qVZzlYsAiYRMImEUHXD9o5H9U9ha5D3X6Q70PUC7+v2J39mPtn+0X9K86sZynWVJMImETCJhEwizTX+ur1tW0x9K1zVJu5WqUMIM4WBYqvXZkyCUFnS/YDumTBsBwFZwsZNBEv4lDlL5chNQ6kwOk8VJm9SXcFliovxpJXBranoaK8XPdTyWNBe48GglbZ1frPSmgMDNqfWmQtcZgLceXPO8MYCa0Y2vF8jqUZGwOkeeDGuPBbM6z4MnLyei0ZCUk9O0t2qRE54OzXOcdSjYyiCap01ladTrZCmO3UOKR+7eKFE5BEomJ2TmthyffT2fsLp1vaxZm9hBNJYbaJrHUJAIFxcQSUIHMOaMGhFQHVAsazn2mfdzxN+6zsINSZS3aSBPbWUDInUcQC0Xl5aTUcAHDmhaeUjmDXVaK9758OvlRx6ipGz2ujNrNSohBZzJ3XX0mSzQsc1brOE1nkmyMhH2eKj026BXB3TqORapoql7ahTgoQnImge8dtTuJdx4vE3zrXNzODWW12zqZHuIBDWOq+B7ySWBjJnPLmnlaWlrncxbSd87YHePIQ4LT+VfY6ouHNbFZZCI2s8jnNaQyJ/NJayyFzjGIorh8rnsdysLCxz6OZzqrqUwiYRMImETCJhFk1P/AGjjv1v2F1lRa/pDfR9QrFb9tj/Zj7mfs7/SvBKccmF0ClEN/wDnLb6Yj7U8yLvvdR7X1yu6Z+7k/Ui1T9KmS+IdNLBso1n7TCJhEwiYRMIshqNUsF7tVbpNTjVJi0W6dia1XYpJZs2PIzc2+QjYxkDl6u2ZNgcPHJCiqsomimA9o5ylATBHZfLY/A4q5zmXlEOLs4JJppCHODIoml73crQ5zqNBPK1pcehoJICh9Ragw+k8Be6o1DOLbA460lubiUtc4RwQRuklfysa57uVjXHlY1z3U5Wtc4gG8n+Fjzx/oK/1nab/AKw84K/rV7B/9Pf+xZH/ADRWqf1+e6X8rP5rzP8A7uT/AAseeP8AQV/rO03/AFh4/rV7B/8AT3/sWR/zRP6/PdL+Vn815n/3csK2L4enMDU9KsOxdgah+AU6qsiyE9Mff+r5X0Bmdyg0Kt8PhbrJSjrq4ckL2UUFDfi69OgCITenO8Ts5q3N2+nNP5jtGZu38kUfZL6PndQupzyWzGN4AmrnAebVbo0Z3x+7huFqiz0Zo/UfbNS5CUx28PvflIuseGueR1k9lHE3yWuNXvaOFK1ICpfnNaubTCJhEwiYRMIvThfnMT9TYe1JZqQ+6t9sPVVq3fq+pFvH9FerPiHIKwmTi82FRnsT+J/5Q/gOR9/+R6PrLtSfuzf+2v8AY/8A0pUaZHrtRphEwiYRMImEV7tNeHfvzdekZ3f0G6o1YosO0ssi0SuknY42cssZVI9R7JyddZRNUnGblgdZus1RUcOGwKOUDh5CACg8Ca07xm3+iNcQbf3zL+6zsz4WONsyF8UL53hrGTOknicHgFr3BjH8rHNP4x5RaduX3y9otr90rTaHKx5W+1XcyW0bzZRW0kFtLdyBkUVy+W7ge2QNcyV7Y45OWJ7DxceQURzntXYqxOguKe9uTMk5Zahor2eYxrpBpN2Z4u1hqpBKLlKoBJKdklW7QXJG5u9Fqh37wyf4iIm6h1443A3Y0FtjbNn1hfst7iVhdFA0OknlA4eREwF3KT5PO/ljB4F4oVw1u73gNp9jbFl1uNlorS7njc+C2Y1013OG8KxwRBz+Uu8nrZOSEO4OkbQ0vgfwVeWRY4XxbZotRyDQHPwcluugSIrCkCgsAVU1ynEellOPYE3pXcdoPIoJfxZwI3vtbSG56g2meEXPTrDb23JStOegvDJy+GnJzU/JrwVpbftPu70697KcfqtsHWcvXGzsur5a06ygyJm5CPKp1XWU/I5uCoHvbjDvHjZMpxG36FJ1pJ44WQh7AkZvK1Wf7ntHA0PY4xV1GOFjtwBUWxzpvEUzB3yKZupQuB0FuloXcuzN3o7IRXL2NBkhNY54q/ykLw14APk84BjcR5D3ChV3m0++21e9uNdkduMvBfSRMa6a3IdFdW9eH562lDZWgO8gSBroXuB6uR4oTAWcgrl1MImETCJhEwisvm4F5XCwa/8AyZt9TR9leZR33uQ9t6xWfv8Adyfru6p+ivJfH2mlEORa7piYRMImETCKedGcZN5ckJdaJ0/r6YtKbJQicvPD3EVVIMTAQ/YmLRLLMoRm7FA4qpte+M8cJlMKKKglEM2BrvdDQm2tmLvWORhtXPFY4uMk8vT7nBGHSubUcpk5RGwkc721XEu62+m1WymNbkdyMxbWD5WkwweVLdz0qKw2sQfO9nMOV0vIIY3FolkYCCtgbDwU+WLxmg5cW/REUsqURUj39uu6jxsIHMUCLni9bSTAxjAUDB3a6gdBDqID1ALe7jvt7SQzOijs8/KwdD2W9qGu84PvWP8AM4tH4OKs+u/tP+73bXLoIcbqy4iaeEkdpYhjuFatEuSjk4dHlMaajopQmqe++AHKLjpFrWS80A0tTWwGF5c6O+TtcBGlIBzHWmisyJzVfZEKUv8AnT9m2amMcpCqCoIlDljQHeD2s3HuhjMFkOpzTvxba6aYJX1pQR8xMcrjx8iKR8gALi0N4q4HaPvfbDb0X7cJpXMC31K/8SyvmG0uJK0oIecmG4eeP5qCaWUBrnFgYOY0vzmtXNKXtNaF27yCsqlT1BRpe6TDZFJzI+heitIyHaLKCkk7m5uTcMoaHbqqFEEzOF0+9MUQJ2hAQzZ2tNf6P28xgy2sb6Gys3OLWc3M58jgKlsUTA6SQgUryNPKCC6gK453L3b252ewjdQ7j5W2xmNe4tj5+Z8szwKlkEETXzTOAoXCON3KCC6gNVsbY+CryydsUnbi2aLi3ChFDGjH1uuij5ESHOUpFVI3XMjGidUpQMXsODlApg7QlHqAW3T99raSGcxR2meljBHltt7YNNQOID7xj+HQasBqDSooTZZd/afd3q3u3W8OP1XPCCKSx2dkI3VAJIEuRjloK0NYwag0BFCaW8geF/IrjMBHu0qC6a1ldRBFrdoB03sVPWXcFJ3bZeXjjKDEPDrCZIiD9NossYhhSKcnZObmzb3evbjc4mDSuQa7KNBLraVphuAB0uEb6dY2lHF0TpGtBAcWuqBc7s/3m9mN8ibXQWXjkzjGuc6yuGut7xrW1q5sMgHXMDaOL7d0rGBwD3NfVoqxnKy58TCJhEwiYRWEhfk0T9MYeypZOQ+5N9qPUXmw9+r67u8f0qas+Psgk18mlvpj/wBlVxN7k72p9RO4r9d3Zz6VNJ/H2PVe8g16TyYRMImETCKY9JaB25yLtL+l6aqClyskXBObLIR5ZquwCbWEaP46MXeqSFol4SMESvpZumCQLCsft9SkEpTCXZmuNwdIbcYqPNa0vBZYyWcQsf1c0pdK5j3hoZBHK/8AFjeebl5RShIJAPG26O723Wy+Ah1PuXkRjMJPdtto5OpubgunfHJK1gjtYZ5fxIpHFxZyDloXAuaDaL/Cx54/0Ff6ztN/1h5xZ/Wr2D/6e/8AYsj/AJouBf6/PdL+Vn815n/3cn+Fjzx/oK/1nab/AKw8f1q9g/8Ap7/2LI/5on9fnul/Kz+a8z/7uUE7z4kchONkfX5XdWv/ALLYWl69j4Jf7rpFj9OeRyCLl4j3VTss6s17lFwQ3aWKmU3XoUREBAN+aE3e273Lubi00Tke23Fqxr5R1FzDyteS1prPDEHVIIo0kjwgLlnanvE7Ob3Xl5j9sMx753dhEySdvZL626tkjnNYa3dtA11XNIowuIpUgCir0yZPJJ40jo5o6kJCQdIMmDBkgq6ePXjpUiDVo0aoEUXcunK6hSJpkKY5zmAAARHORZ54bWF9zcvbHbxtLnvcQ1rWtFXOc40DWtAJJJAAFSuY7q6trG2kvb2SOGzhjc+SR7gxjGMBc573OIa1rWglziQAASSAFsz1r4RfMLYUQjMyURR9YIukRXastlWZ6xl1Uv0Hd99E1SCt76NWWBU3RJ4RusTujdshBEnbth1L3v8AZvT146ztpr7KPaaOdZwNdGDxrSSeW3a8Cg8qMvaeYcpPlUsa1v8AaK927R2RdjbK5yueljdyufjbZj4QfKryy3c9nHKBQeXC6Rh5m8jnUdy/HtLwl+YOs4ZzOsq/UtosmKRV3qGr7A9l5dFASrCodCBsUJVZuWOgZIpTJMW7pcwqlEhDFBQSa2le9zs5qe9bYT3F5ipnmjTfRNjjJ4UBlhlnjjBqSHSvY0cpq4EtDqnQP2hndv1zkmYq5vMjgbqVxax2Ut2Qwl1W0Dp7ee6giDqkh88kTBykOc0lgdrWdNXTF05Yvmy7N6zXWau2jpFRu6aum6hkXDZy3WKRVBdBUglOQwAYpgEBABDLmYpYriJs8Dmvge0Oa5pBa5pFQ5pFQQQagjgRxCvet7iC7gZdWr2SW0jA9j2EOa9rgC1zXAkOa4EEEEgggg0Xz5qLVTCJhEwil6gfJnP1Nb2VnkpY+5H23rBdLP8AeNvru6W+ivG/H2pVnOViwCJhEwiYRQdcP2jkf1T2FrkPdfpDvQ9QLv6/Ynf2Y+2f7Rf0rzqxnKdZUkwiYRMImETCLrg4L6NoPC/iYO1rw3bR9sn6MO1Nr2ZVomeVjoQIo0/G09r5TrghXokxExbEOIOZQ6xw/wAtMpMQu+2u9Qb17t/qpgnOkxFvf9hsIA49W+TrOqfcO6BWaSrucjyIAxp/FcT12+9burq/vN94YbfaVe+bT1nlferFWweRFJP1vZ5Lx/Q3muJeZwlc0dXaiNp/Fe52oHcvjBcpLlbX7rUstDahpSDxySDiWtVq1pn3cb2ilarWaUuEVY2ikmJSicwMEGiKfb7H6Ts94a8TRfc52rw2Iji1dDNmM25jTLI6eeCJr/yhAy3khcGeAGV0jjTm8mvKMjm2n2b+wmmtPQwbh29zqPU742meZ91dWsDJePMLaKzltniLjQGd8z3cvN5HNyDZF4cviN2TkvZJHSm64yELsAsI9mqxaYRl8Pj7hHx/Q01ETML21WjOcZtFfSE1GwEauWpFSmSSOkBnFtXeQ7t2N2xxset9EyznTxnbFPBK7nfbvf7nJHJQOdE5w5CH1ex5aQ97X0jsn76fcswmx2Eh3Q2vnujpA3TIbq1nf1klnJJ7jNDNQPfA946tzZeaWKV0ZEkjJCIdVnimcZa/x45At5SjRzaGoO2Yde2Q0IzICLKAnmbsGVqho5uUhU20YDlVB4gmQewiV6KJClTTIGXXd1Xc/I7i7eutM7I6bUGImEEkruLpYnN5oJHmtXPoHxuceLur53EucSr/AHuEb55jeXZ99hquZ9zq/T1y20mneavuIHs57WaRxJLpeUSQvcfKeYescXPe4rWdlzqvjTCJhEwiYRMIsmp/7Rx3637C6yotf0hvo+oVit+2x/sx9zP2d/pXglOOTC6BSiG//OW30xH2p5kXfe6j2vrld0z93J+pFqn6VMl8Q6aWDZRrP2mETCJhEwiYRbBfC6pCl15r6kEU01GNQ+5rvJifoIppwVakyRaiZBKYplAsb1kHlEOyURMA9SgA28d6fONwmyOXFSJ7zqLZlPCZZmF4PmdS2Xx1NB0Gqs97+WqWaX7r2ogHEXeR7LYxU8JnuYjKCa8B2Zk58NSA0ihJG+DnB4jMdw2u1NoqWrk9mStoq69rfAF+LT1INgMq5iYzttwptqM8LJrxzrsnEyPZ7gQ6G69QsK2M7t9xvPhL3Ovypxdpa3Qgb/knaBK/qxI+h7TBy8gfHUUdXnHEeHEz3WO5bed5bS2S1XJnzg7Cwv22jP8AIO2CeTqmzS0d2y15DE2SKoo+vWA1bShpJ/js/wDVZ/13/wDRDnOH9Q3/AL1/zZ/2gro//pPf9/v5j/7XULcivF5/f7pTYWnv9nr7T++4ZOI+4v3s/HfhXdyLF/6R8I/dpDendfQ+x2PSkf8AK69rydB3ttz3Pf1A1vjtY/rF2vsE5k6nsHVdZ5Dm06ztsnL+NWvI7opRcn7MfZzf6ot0MPuR+uPvh703Jm7P709R1tY3x8vXe+c3J+PWvVP6KU41Gl7L1lk2TCJhEwiYRMIvThfnMT9TYe1JZqQ+6t9sPVVq3fq+pFvH9FerPiHIKwmTi82FRnsT+J/5Q/gOR9/+R6PrLtSfuzf+2v8AY/8A0pUaZHrtRphEwiYRMItxHCPwq71t99E7E5BRsvr7VSK7SQaVJ4RxFXbYLYOw5IgKA90+qtZeE6FVdKAk+XSMINSk7ZHSdmu+PeuwWj4JtObeSw5HVbmuY64aRJbWjuIJrxbPM3pawc0TXD86XUMTsbfek7/ulNuLS40Zs/PbZjcBzXxvu2Fstlj3cWl3NxZdXLDxbE3mgY8Dr3O5XQP6JtpRELX+Puy4CuR8fEwMHqK8RETFRSCLWOjGMbUJVkhHs2zcCot0WZEe7AhQACdnp+bMculry9yG4OMyGSkkmv58vbSSSSEue9z7iNxe5x4kuJrU9NarDLoLJZTMbxYPL5uaa4y11qOxmmllc50kskt5E90j3O4uc8u5i49Narie0xrCZ3RtfX+qoAe7k73aYqvkdCCZiRzR24L8TllSKKJAojERhFnRyAbtHIiIFATCADm81rqmy0TpLI6syHG2sLSSXl4+W5o8iMUBoZHlrAaUBcCaCpXaF3M13jdsdv8AMa/y45rHE2EtwW8ayPY09VECAaOmlLImmlAXgmgBK6ueQe59XeGnxnqUFRKk1duSGCo62p4K+jJzE0RqrITVptD1Psu126aoi6kVydpw5duk0wEne94nia280VqrvM7nXd9nrx7Iz/lF5cU5jHHzBkcEDT5IJHkQsNGMjY53Hk5XdfjZ3bLXvfg3xyOW1ZkZI4CO15K8pzGGEvEcFrasPkNcR+atmGkccUT3kO6vkfotR8XPmwlbPuM90qDmH78FfsJbX1ZLU+7BEqQtfTG7RC89wY5RUEfjXe9swh2+x0KF9z+6Bsi/Ee9rbK8bectO1i7m7RWteblLja1p5P6Ny0HRWpWVuX7OruvSae95WYvIsyXJTt7chddrrzE83I57rHmp5P6Fy8oHk81XHe9qXZGp/Ey4p2COskCnGml0XNTvFdMZF89o93atEnUdYK67XIBjg3UXRfxjgxSiIdUVQESqlGwrV2mtW92Pdi3uMbcGQQubcWs3Frbq2c4tfFM0HwgOimYCf4bTQsKxNbh6J3C7jXeBs73CXZnbbObd2NwKxsvrFzyyS3uGNPDmDXwXMYJHRJGQHRuHI7sGkTmtL1cdeWZEELBSLNN1aXTKCgJC/g5BxHOFm4qEIdRo4O37xE/QAUSMUweQQzL3p3O2Op8DZaixjubH31rFPGeFeWVgeAaVo4Vo4eBwIPELsT6P1TitcaUxuscG7nw+UsYLqEmlernjbI0OoSA9odyvbXyXAtPELD8mVuNMImETCJhFZfNwLyuFg1/+TNvqaPsrzKO+9yHtvWKz9/u5P13dU/RXkvj7TSiHItd0xMImETCKT9Lavl91bZ17qmDP3EjfLXEV4HglIoWMZvHJPikwokdVEFkYaLIs6OQDAc5ERKXqYQAdra21TZ6J0jkdWXw5rewtJJuXiOdzW/m4wQDQySFsYNKAuBNACVsXc7XeO2w29zO4GVHPZ4nHzXHJUgyvY09VCCAaOmlLImuIo0vBdQAldaG9ttak8NzjJCN6fUGxm0eo3p+uKS0VFoaxWdy2cPnktYJMiK7kxASbLvpN8oU6rhYQT7QKrEHMR2g9I6v7yu588mYvHdbIDcXly4c3UwNcGtjiZUDpc2KGIENY2rqcjHLry7T7d7id9rfS6m1JkXiaYOvMlevHOLa1a5rGRW8RLW1q5kFtA0hkbAX05InrQXO+LZzdl574xH7BrNXj++TV+1YLXdMcQIkI4MsZv6RZomxWjuVkzAkYfiXeAmUBKYp+pxyAWHdE2Os8f2O4x91dXHKR18t5ciWpFK0hkhgqD5Q/M0qeILaNGXXE/Z4d1rHYj3tvMPfX95ykdqnyN624qWgB3LbTW9rzA+WP8m5eYkFpbRo3HeHt4gwcvEp/VO16/AxW0oeBcSZjRLc5Ktf6sCqUdJKkh5Fw/OxlmQPUgete9VbuU1TKpFTTA6KVmfeI7vJ2ffb6s0ncXEulZrgM/OEdfaT0L2AyMDQ6N3K4xScrXsLQx5c4te/Gt3xe52e7nJabg7fXl3caCubtsQErgbrH3VDJEDNG2MSQv5HmGXlZJE5jY5HPeWyv0y+IrxNb6K5QM6rrKEMlUdwoRtg19AtRIm2j5iZl1YSTp8eo4XKQiLOcKRRuUwkTQavUU+vQgjl6Xdx3bk13ta/K6onrl8M58V3K6pc+OOMSsuHgDiXRVDyKlz4nupVyyZ9zDvCTbr7ESZ/XN0Hai026S3yE7ql0kMMInivJA1tSXwEtkIBc+WGV9KuAW+pk31R4YPDkZBSKJJO4FpGmmvh/dNpfZu1Z8iDUwqPFgOZNBVymbsmN3noMS0HsEOKQEPYJPJq3vRby9nbKYorh7+q56ujsrCIl3BopUhp4gU624k4lvPUYkbqbcHv295TsbLgwW13JL1PWVdDjMVblzxRjaVcGkVA5evu5hzOb1nM3RlZfF25nzNtGfhLbVajAEclURosZRavJQR2qbpZYjZ9KWCNlbYudVucqKyiMg27QEAyZUjCIjfZjO5/srZYj3vvrS7vMgW0N0+6nZKHFoBcxkT44AAQXNDon0rRxeAFlYwn2dHdlxunfejKY7IZHLmOjr6W+uo5w4tALmRW8sVo0BwL2NfbyULqPMjQAt2/C/lpTefun7nTNlVODRuEVGkgdn0sqai9ZsUHPIuEG0/Bt3q7p63jXx0FEzoKKqrsXKZRBUwGSUGx7evaPNd37WNlmtNXc7sPLKZbG5qBPDLEQXRSloa0vbVpDg1rZWE+QKPaMXHec7vOpe6FuPjNT6HyN07TdxOZ8XekhtzbzwFrnW87mNax0jA5rmvaxrJ43EGMcsjBzF8o9JPOO2+9laicHcLsqtPqDXX7oP00nU5ZBGYqz9ZQqaSKrpaDfoA4FMO7K6KoQP8kcyhbV64h3H0BjNYRhrZ7q3HXMb0MuIyY52AVJDRK1xZXiWFpPSs6mw26NtvNtHg9xoQxlzf2Y7RG38WK7icYbqMCpIY2eN5j5jzGIscfxlAGchLl5MImETCKwkL8mifpjD2VLJyH3JvtR6i82Hv1fXd3j+lTVnx9kEmvk0t9Mf+yq4m9yd7U+oncV+u7s59Kmk/j7HqveQa9J5MImETCJhF0FeBnSFA/2gNkLpp9yb7JpEUsHQVRUL8bnp9MwiUBTTKU8aIdBHtiI9QDsh1x59+zONrp7TUZPOO03Mg8FD1UUR808Jq+LhTpNMPX2q+qWU0foqJx6z/Lr6UeCn5iC3PTxJIuQajhQUJ5jSWd7eMfHac3DsXVcXoRO7tdf2iRqh7QltosISUfw5waSv/koutZsGJmUoms3MT0pb8SQj1Dr2Q2loLuZ3Gs9G43Vd1nzYy5C1ZOIDYdbyMk8qP8AOdti5uZha8Hkbwd0eE8e7T/Zq3m5W2+F1/fauOLnzFhHdi1OJ68xRzDni/O++UHOHxFkgPVM4PAoaVMTf47P/VZ/13/9EObt/qG/96/5s/7QXIX/ANJ7/v8AfzH/ANrqifObxA/9tCvUCB/dJ+7b7GmZqX9K+/fvH4p8YYs2fo/cfZdW9C9H9E7Xb7a3b7XTsl6dR552K7vX+pXI5DIe+/vn2+COPl7L2fk6tznVr2mfmrzUpRtKVqVdh3VO59/VkzGYy36xe/fvrbQw8nYOx9V1L3v5ubtt1z83PSlGUpWprQX08Gbi5Buoqd5RXCJQfyyUw+qOqweESXTiU2TYiVotbNPtqAnIO13ho1BQxSKokRc9n8KwGzgLvo7qX8V3BtZh5nR2ZhZcX3KSDIXOrBA40FWNDRM4Alri6KvFhCtK+0x36ytvf2mw2m7h8OPdbR3mV5CWmUvcTa2jzQVjY1guZGglr3PgrxjIWC8xfFz2i32DZdfcaHEPU6xVJZ7BLbEewsVZZ6yyUS/Bu+fwjOdbydcYV5ZVqokgKrNy4cIH77tImMUhJ3Zrug6Wk09a6i3ObNd5O7hbKLNskkMULJGVa2V0RZM+YBzXO5ZGMY4clHgEu3X3bPs6tBS6OsdYb4sucjnchbsnGOZNLbW9tHLHzMjnfA6K5kuGhzXSck0cccg6vlkALnZDwh8WXYlj2PW9VcmF4Wei7jINYGC2VHw8fXJeJsUk67iMSs7CGTY111Bv3CqbYFmzNoo0OYFFBVIJhJHb5d0jTmN03c6s2xbPb3VlG6WWyfI+aOSFjavMD5C6ZsrAC/lfJIJAC1vI4AOhu9L9npozC6Kvtf7HMurS/wAbC6efGyTSXMM1vE3mlNrJMZLhk8bQ6TkkmlbKAWMEbg0O8vxn+M8RXZOocl6jFJMC2yTGl7NTZIFTQcWErJZ/VrMsmin0B5Jx7B00eLHEpTmbNfyqKHE1V3KtzrvI215tlmJTIbSLtNkXGpEPMGzwAk/ise+OSNoqQHy/ktAFf9mVvlkczYZLY/UVw6U46DtuML3Vc235xHdWoLj+JFJJFNCwAkCWfoYxoGhrL+llpTCJhEwil6gfJnP1Nb2VnkpY+5H23rBdLP8AeNvru6W+ivG/H2pVnOViwCJhEwiYRQdcP2jkf1T2FrkPdfpDvQ9QLv6/Ynf2Y+2f7Rf0rzqxnKdZUkwiYRMImETCKzszzO5RWPXExqWxbot1hoM9EsoOWhZ40bNOHcVHvWz9s0Gfk491Y0Q79omCh03ZFFkQFJQxkhMQeLrLZXavG6kh1djcJZ2+oLeZ0sckXPG1sj2lpd1THthPBxoDGQ13ltAeA4cFY3uzbDYXWttuHhdMY6z1faXD54prcSQtZLIx0bn9nikbbO8l7i0OhLWPPWMDZAHCsWcornVbkPB747X2xb6jOQTqFlIvW+voe2N42xOk1mkdZrROwz6pDDRRlEwLMJxzKXdLujpiKTZZFMpzAoYpRsx74+42Ax2gZdvIZ4pdS5CaAvhaQ58EEUjbjrJKH82XujjawHyntc4gcoJWNX7SHebSOF2kn2ft7qCfW2YubR0ls0h8ltawTMu+ulAP5kyPhiZEHeVIx73NBYC4en41m1K3bd1631rCO0X8nqyqTC1pWbKpKpMJi7O4t2hBrimsc6cgyiYNu5VIYheyR6n5RHtAWl7kelMniNE5PU18x0drlbuMQBwIL47ZsjTKKjix0kr2NIJqY3cAKE0P2YGgc3p3a/N63ykbobHP5CEWocCDJDZMlY6dtQAY3yzyRtcCauhfwAoXaXMvYWThMImETCJhEwiyan/tHHfrfsLrKi1/SG+j6hWK37bH+zH3M/Z3+leCU45MLoFKIb/85bfTEfanmRd97qPa+uV3TP3cn6kWqfpUyXxDppYNlGs/aYRMImETCJhFvG8DykEkNrbr2IqgYw1WhQVSarm7XdJrXaeUlFuwAh2DL9xR+nXr2ikOIfkPli3fnzjrfSeD041wAu7+W4cPCRbRCMV8yt15xIHiWK37VDVLrPb7S+jGPAGQy8925vhIsoBEK+Hl5r6tOgkA9LV73NPiJya5ncv9gTWvKUlH68pLGs67ib5dJYlerT48NFNpGa+FFXScTEu3Z2WefoqKRzN23Io3UKc4LdU8j9kt4NsNltncfY6ivjJqK+knvJLW2j66Zgke5kfWUIjjLoYonATSRvLXtIaWUconuxd4vYzuy93DD4vWWUdNrLKS3WRmsLKI3FywTSujh63lLYYXPtoLd7W3E0UjmyMc1pio9QHZfBj5eQUUvIRcppy6O0SqmTgq1c51rKuhTQVWIRBa402pwhTLqJgkXvXiZQUUKJhKTtHLyBjO+ns/f3bbe6izNlCSKyzW0To21IFSLe5nl4A8x5YyaA0BdQHlzB/aZ93PLZBlnfwalxlu4is9zZQPibVwBLhZ3l3PRoJceWFx5WmgLuVrtZN915edW2eRpexapO0y0xShiPYWwR7iOeFJ3iiabtuCxATfRzoUhMg6QMo2cJ9DpHOQQMNz+n9R4LVWLjzem7uC9xUo8mSF4e2tAS004te2oD2OAew+S5oIIV8+kdZaV17godT6MyFpk8BcCrJ7eRsjCaAljuU1ZIyoEkTw2SN3kyNa4ELDcmluVMImETCJhEwi9OF+cxP1Nh7UlmpD7q32w9VWrd+r6kW8f0V6s+IcgrCZOLzYVGexP4n/AJQ/gOR9/wDkej6y7Un7s3/tr/Y//SlRpkeu1GmETCJhFbTgxseg6i5U6o2RtCRSiaPVHNtfzMirFvpkGyitCtLKIMlGxrN++cOjzbpsVHu0jCRUxTiJQKJg4i3301qDWG1GW01paMzZ27bbsjYHtj5gLuB0lXvcxoaImvLquFWgjiTQ29d6zRWr9xtgdQaJ0JC641VkGWkcMYlZDzAX9q+askj42NaIGSF/M8BzA5tHEhp2D8tfGEt98aylF41R0lrutuBWaPNky3cFvcq1A6qRwrrFIzhnUmrtLoIOBOvI9kwCQWihRy3jaLucYfAyxZ7c2SLI5JtHNso69ljdQEdc80dcOafyAGw1BDuuaVZ13ePs3tN6Sng1XvfNBmc2wB7MbFzdgidQEdoeQ1925h4dWGst6ghwuGELbLpRy4eeG/VnbtdZ07dcWpRy6dOVTruHLheiSaqy66ypjKLLLKGExjGETGMIiI9ctH1vFHD3kruGFrWQs1UxrWtAAaBdMAAA4AAcABwAWPXdCGG277F/b27Gx28evomta0BrWtbfxBrWtFAGgAAAAAAUC0a+DlVWth5ipSrhBNZSjavu9qZHOQhhbunS8FSxXTExREinotvVJ1L0HocQ69BEMvs75mVlx2zRtI3ENvsrbQOoTxa0S3ND4xzW7TQ8KgeFZVvtKM/Phu7Y7HwuLWZXPWNq8AkczWtnveU06Rz2bXUPCoHhopO8bi4rye/9XUYBMLGpaqCdL1UESlk7jZ5lB8QqXZ6F/wAwqrIRP2h7fa6dA7PUdr9x3DR2u32Vzp93u8t1XR+RbwRlpr7eeQUpwpWprw2J9lvpqKx2gz2qjTteR1B1HR/xVnawuYa14/nLqYUpwpWp5uGlvL2Fk5W83wObeo12hvCgmdKd1O0KAt6TITmFEVKnYQhV3RU+vYKoBbmmQxgDqICAD+QOliXfpw7ZdL4LUAYOaC/lty6nGk8PWBtemn+TOIHg4+NYqPtU9OMuNB6V1cI29ZaZe4sy+grS7t+ua0nppWycQOgGtOkqsvi30xnU+aFtkGSYokvdRpdzXTAABMHikYesu1EgARHo5XrAqn6+UVVDj+fOT+6HmpsvsraW85qbC8ubYHw8oeJ2g+1E/KP70Bc5/Z3amudQ92THWd07mdicje2TT4eQSi5YD7Vt0GN8TGtC1mZc8r5EwiYRMImEVl83AvK4WDX/AOTNvqaPsrzKO+9yHtvWKz9/u5P13dU/RXkvj7TSiHItd0xMImETCKQ9UbSumlNhVnaGvJFvE3GpO3DuHfO42Pl2yZnrB3FPkl4+UbO2a6TuNfrIiIkBRMFO2kYipSHLtzVulcJrfTt1pbUUbpcNeMDZGte+Nx5XtkaQ9ha4Fr2Nd00NOVwc0lp2buDoLTG5+jr7QesoX3Gm8jG1kzGSyQuPJIyVhbJE5j2lksbHgV5XcvK9r2FzTOPJ3mfuHlq0oLXa6VSKbXZrQeHc1eIfwyz41rNBC+NLorTEgwXMzJX0SNhQRbmKUynbFQTAJdi7XbK6N2imyEukzeEZEQdY2eRkgb1HW8vVkRseObrXF/M54JDeXlpx4r2K7su2/d4uMvPt87IluZFqJm3U0cwj7IJ+TqSIY5G85uHmQPfICQzlDACDUvOXVcMtufg066slj5RSGwGbZynV9cUWd+OyYdSszylrSCEg4NQQ6io5epi7dkL07IEYGERAewBrQO+jqPG43a2PT0zmnK5K/i6pn5XJAesllHia09XGT01lAAIqRjr+0v1phMLsNDpC5ew57NZWDqIul4itD18848TWHqoXHprcNABHMW7F+VSle2J4nfB7W3+bvpClR9gvsu3FIFAaqsm81coIix1CmSFdFWgA4KQA7aYGIfydoo5bhtQ3I6d7r2utTeVHb30kNrGa05g50dvLQDjQi75Ceg0I8BVl+wDMxozuJ7qa38uKzyk1vYQurTnD3QWU5AHHlIyHVk9DiHN/JKhvxzLiu3rXH3XyQmFtLTl5uL8O8EClXrrCAhIge67IgoY6doe/i6h2Oz06D2vJvPuJ4aOTKah1C/3WGC1t2cPBM+WWTj4KGCPhTjXwU48lfZUaaimzesdYSU6+3tbGzj4ceW4kuJ5uNeFDawcKHmr0jl487OZG1maW0vwfLepXOZMRBelKIo36g3itGbFOYEna0bHo3RIFEwHsHOgnVFDFEQ6l8vT8o9bVe+Ph25LZia/5AX4/IWs3NTi0PebY0PiJnaD4+HiVhP2kOnGZru03OW6trpMRl7G5DqCrBJIbI0PSA43bQR4eFegKavG9pjOL3TqG9N0xTc2/XcnBPxKAAmurTZ87hBwby9RcC1tZEjD/AOAkQPzZsjuN5qa60VmMDIaxWeRZKzxgXMVCPO5oC4ea5y4v+yz1Nc3+2Go9KTO5oMdmo54/G0XluGub7XmtC4f3z3HwrSVl8KyjJhEwiYRWEhfk0T9MYeypZOQ+5N9qPUXmw9+r67u8f0qas+Psgk18mlvpj/2VXE3uTvan1E7iv13dnPpU0n8fY9V7yDXpPJhEwiYRMIurvwk6y017wkSuzxBVItytuwb++U7JjLKsYJQlRIKRBDtd0CFMMYhQ6gJjCYP8rMTHe6yk2ot8HYSFwJsrS0tGDwB0oNwanx1uQCfAAB4F19vtD85c6y70h0tbPa52Nx2Px8YqA0STg3ZqfHzXoDieIAAP4q1KV3wxuZvImZsW0pus1fVf3/PTdz7radifRcqqrY5BaaV7+EhIWy2WNVMu+MXsSDRo46kETkKAgI3dZHvQ7Lbc2VtpWxurrLe99vFbVsYWvjAhYIxSWWWGF4owGsMkjKEcrjxpkPzXfq7s2zONs9BYu+v8/wC9FpBZVxVvHLEBbRthHLPPPbW0g5Ywea3mmjoQGuNCBj+1fCY5gawhHdgZwFS2kxj2wu37fVk8/mZlBuRNydYW1esMHVp2aXS7godxHt3bhQVid2mfop2JDSne42c1RfMx81xeYqeR3Kx19EyOMkloHNNDLPFGDU+XM+NgDTzOb5PNL6A+0M7t+u8pHiLm8yOAupn8kbsrBHDC5xLQOa4t57qCFp5iesuJIY2hjud7as59a7pq6YunLF82XZvWa6zV20dIqN3TV03UMi4bOW6xSKoLoKkEpyGADFMAgIAIZczFLFcRNngc18D2hzXNILXNIqHNIqCCDUEcCOIV71vcQXcDLq1eyS2kYHsewhzXtcAWua4EhzXAgggkEEEGi68dNuCaM8LuAscSiVs6geLU3sZkREStxUnbRUZW9oKCqmmPdqO5qcAxlOyYwCcTCBh/Lh81nG7XfeluMbeOLorjVUdm4nyqRQXDLUihPENjioBUCgpwC65u5ULt1u/leYXIuL4LvX0GOeXeVSC1u4rBwoTxDIYCA2oFBQUC5BszDrsbr9ElVUFU10FFEVkVCKorJHMmqkqmYDpqJqEEDkUIcAEBAQEBDqGfL2MkYWPAcxwIIIqCD0gjwg+EL4kjjljdFK0OicCCCKgg8CCDwII4EHpXXxy8bMd5eG3bbO6EXQy+kaXt1g8DoKpXcXH16+kdEMYQ6ekt0FE1B/KKSpw/PmHjZ+WfQneVs8XF5HU5y5x72+Dle+W0Lf8Agkgj++aF1ye7nNdbVd9rH4GCkYttU3uIkZ4OSWS4sC0+1c5rm/3zGnwLkDzMSuxymETCJhFL1A+TOfqa3srPJSx9yPtvWC6Wf7xt9d3S30V434+1Ks5ysWARMImETCKDrh+0cj+qewtch7r9Id6HqBd/X7E7+zH2z/aL+ledWM5TrKkmETCJhEwiYRMIttvh67x4Q6Z17anHJWsVe0bDfbCI/qwy2om9/lq/ARMHCnYyDCcfwTxGKK7nFnPYSbuQWKq17w5CAKZj2h94jQu+WtNRWke2d1dWunGY7kn6vIG0jllkllD2PibK0ycsQZVz2cpa/lDjRwbjw7421fem3M1jj4dkL+/sNHRYcx3XVZd2PiuLiWeYPjkgjnY6XkgbFzOkj5C2Xka5xD2t3vau5MaJ5Z0uep3HrdDin2ZpDLM0WsRCRsJeKkzRSKzbSEXVLrAuo9/EMyqoh37NBduj2iJ98ir5C2Faq2x15tHmrfM7iYRt5jHzBxdJK+W1uHE8xY+e2la9sjqO8mRzXuoXcj2cTia15sdux3edTWmpd49MMyWCkuWvc+aeWexu3k87o5buynZJHM8h/kTPZI+jn9XJHxPMjze4e7Z4sbCFxepx3sStXp5ISNf2uoD061lkRVM4k2lnK/dSDuOt5BVBdZNVy5K4TU71JZUQVBLJ/sbvHpHdXTvVYGBmNydgxjJbActIWUox0HK1jX2/DlaWsYWEcrmNqwvzod1rvIbeb+6O6nSdrHhs5iYo47jEjkAto6csT7UxtjZJZmnIxzY4zG5vJJFHWMvpFnOSukTCJhEwiYRMIsmp/wC0cd+t+wusqLX9Ib6PqFYrftsf7Mfcz9nf6V4JTjkwugUohv8A85bfTEfanmRd97qPa+uV3TP3cn6kWqfpUyXxDppYNlGs/aYRMImETCJhF0C+EPvzjpp/U2wIHY+3KXRr7adlIvvhlqeLV5H7bRr8YwgnB5+XaMoBYDSZJIVCpu1AaJimZYU++KA49e+DoDcfWOrsff6bw99fYC1xhbzwNEx64zPfKOqjc6UeQYaF0Y6w8wZzchph++0Z2j3o3I3Cw+W0Vp3J5XSVhhHM621Y24d2l1xLJO0W8L33ApEbYNLommV3O2Pn6txGGcuPGA2OvdJyl8XXMLWahBPVY0mzHsNGWaetDti8KDiTr7KcRka1H1x2CJ00BXZu3DhA/fAZAxikTmtoO51ptmEgze6bZ7nMXDA/sTZHwxQNc3gyZ0RZM+ZtQ53LJGxjxyUkAJdubu7fZw6Ki0xa6n35ZdX2o7uISnGMmltoLVkjDyxXD4HR3MlyzmDpOrmijjkHVcsrWuc+E9PeMPykptiYK7VeV7b9SUfAM2xeVqv1KxpRqhUSKFr8rT46CjG7xuKYqJi8ZOyKCc5DdAEh0t8ay7m21eax0jdJsuMPlxH+ac2aW4hLxUjro7h8ry11aHq5IyKBwrRwfyhuR9m3sLqXCzR6AjvNN6ibF+Yey5uLu2MgqQbiK8knlcx1Q13UzQlvK1za0c2Tcly60NrTnjxcZ7Do7ZrI28lI+/tMW4G5m0sYF2ScwpUZIpAFwDWfSRMycNFu16G/EqnZBRIQGzDaDX2ptg9036dzjnx4ft3ZMlb15o+DjGLhleHNESJGSNp1kVW15XgjGp3dN2tcd0vfqTRmqnyQacOV7BmrTmDohyvMIu46+Tz25ImjmZTroKsrySAjkHzMOuxsmETCJhEwiYRenC/OYn6mw9qSzUh91b7YeqrVu/V9SLeP6K9WfEOQVhMnF5sKjPYn8T/yh/Acj7/8j0fWXak/dm/9tf7H/wClKjTI9dqNMImETCJhEwi7GtF/92tT/wDsqP8A/kBI5hm159Za9/8Aixv/ADti61+6313sl9IEfxhGtTXgfIJG3huNyJeqyWqmqCZ+0b8KTi3Q6ixeyA9ge2dsQeogIh2fJ06j1u4780jxofCxA+Qcs4keaLeQD/xj+FZC/tT5ZBtXpqAH807UD3Eea2zmANengHO/Dx6Aoe8YxQ5+YzgpjCYqWsKMmmA/8QgnmlRKH+8Kihh/4RzeXcza1uzTSBxOVuifPpEPUAXJH2bDGt7tbHNFC7O3xPmmkI9QAegtVeXXq/1bfPBTEQ5Y3AAEQA2iLcA9B/KH3xrYeg/7odQAf+EMs777g/8A9S2X/X9v/wA1vVjk+0/APd7xtfBqy0/5jkl/fjXETJyvpZkzAYyuhakdYAAA7CgXzZqQFHp+URRTIP8AwDn53InOO0t6HdAz9wB53ZbI+qSvj7L573d3zJh4o1urbsN80dgxhr+EkegtQGXirI8mETCJhEwisvm4F5XCwa//ACZt9TR9leZR33uQ9t6xWfv93J+u7qn6K8l8faaUQ5FrumJhEwiYRMImEVgeN/GrZ3KLYbPX+tooVRKKDqzWV6VROvU6EUWBJWYnHhSiBCgAGBBuTtOXahRIkQwgYS8eblbm6X2s04/UOpZaVq2CFtDNcSgVEcTfwc7zRkYNXkcK8Qb2b36F2G0bLrDW9xyg8zba2YQbi8nDaiGBh6T0c8jqRxNPNI4CleoxZbj94XHF0G5FCrnbFXUbJKC3QuG4dkuWZAOqZMgqGTKsZFMDmDtoRUcmUOpuwXvMWLGbh96fdPrHAtDiASKm3x9m1xoK8K0qaDg+eZxPDmPLgYji3h7+u/PXPaWMeWhxHM6zw+Na80FTSpFXFo8mS7uXE0bzHk02+HZtC2b18SJttfYDwJG1WeH2NMLnT7aTSPL9puo2Pi45Dtj3UZDw4kaNkzCcSopl7QmP1MN5veN0tidB92t2ktPM6vFWs9nGAaFz/wA+Hve8+F8klZHkUq4mgDeCyWd83QmntqO5PJt9o+LqcBYXOOhaDQvk/wArZLJLI6nGWaas0jgBV7nUAb5Klzxy1DjsPQKQmEUyUu5KFJ+Yp1JyIKoYP98xUigP/Bm0e4o1o07qB9PKN7bD0BFJT1SuO/sqWNGjNXyAeWcnZgnzBBKR+Cp/CtFGX5LK8r9eF8Ihzr0MICID6Xfw8g9PIbVV6AQ/4BAeg/72W/d6UV2Gz9f4Fp/z+1VovfvAPdQ1bX+TsPjWxWwjx1yJg74wKgYBWO33KRQnQOpU01dWGSMI/lEDGVOH/wBmW8dw5zuq1S0/iB2OI88i+r6gVnX2UD3m312wj82H4Yg+aRlKj0AG/hXP7mQhZf0wiYRMIrCQvyaJ+mMPZUsnIfcm+1HqLzYe/V9d3eP6VNWfH2QSa+TS30x/7Krib3J3tT6idxX67uzn0qaT+Pseq95Br0nkwiYRMImEXWFxn5ocRdScQdbRym6Kc7lta6fiVrBUW7o8VbZG0R7Eo2ODr9dsKEHJS8m7tCi6bYCJgDhMxXPX0cwq5iU3O2V3f1dvDk7luEvWWmTzMgiuC0SW7IHv/MyyzQmVkbGwBhfV3kEGOnWDkXXx3y7sfeL3E7x2bvWaYyUePzmpJW2925oltI7WR/8Ak09xcW7p44YmWojdKS7824GCnXDq1qT2z4v/ACyuVndPtazUDqCqJOXYRUDFVWrWuSWYKGRBoNgmbrCT5XcigRIRE7JBgiIqmAUzABBLd3pHud7SYXFtg1NBcZjLFreslfPPAwPFebqY7aWLlYajhI6V3kijhU1yH7e/Zw93rTWCjtdb2t3qPUDmM62eW6urSMSCvP2eGynt+SNxI4TPneA1pDxV1bR8LvFv2FYtj1bV3JROvS8PcJCMrcTsmIiUa9LRFhkDpMI9a0R8b3dfeQ0rIHTIqq2asPQTqmVN20A7CfFe9fdD07jdN3eqtszcQ3lnG+aSzkkM0ckLKveIHvrK2SNlS1r3y9aGhgo81dwN3m/s7dHYbRV/rzZA3ltksbDLcy42aU3EM1vGDJILWSStwyaKMOcxkks/XhjY28sp5n5X4xXEqsp1ZvynpEQ0iJ9jMx0JtkjJMUELAxmlUIyv2pwimHcFmGEsKLFwr0A7tN2kJxEUQ7UT3Nd3cmcq7anOTPmx8kL5bAuNTE+IF80AJ49W+PmlY3ojMbuUUeabf+zZ7w+cfnn7BapuZLjES20k+JLzzOt3wB0txaNJ8rqZIueeNlS2J0MgaAJTS8u+yFY+GTZ0GvVFJDi3W2qRQMY3Zb/ZsG27vtHExjAKAiUREREQ/PnBOgHGfvPWskvF7tVTOPn9plNeHm8VartG43XfosZbjypH69uXnzXdsndWgoPxuPDguPbMyC7ISYRdfaZSK+E+ILH6FDgcoYpjfi/Gjowx25PL1/KqmUof7n5sw7uLmd7SrBx/X4fgOUofSJK64z3Pj+0HrEOP+toD0HZ0Bx/ASSuQTMxC7HKYRMImEUvUD5M5+preys8lLH3I+29YLpZ/vG313dLfRXjfj7UqznKxYBEwiYRMIoOuH7RyP6p7C1yHuv0h3oeoF39fsTv7MfbP9ov6V51YzlOsqSYRMImETCJhFnK+sdlNawtd3Wvbw2pjdGKcuLcvU59GsIN50xSQa60+pHlikkZk5yg0MZUCuBEATE3XIGPVOmZco3BxZGwdm3OkaLcXERnJi4ygRB/WExgEyANqynlUW1YtdaInzrdLQZnFP1M90rW2bbu3N050AJna23EnWl0IBMoDKxgHnosGyeW6lIeptmWbTeyqVtGnulGlipE+xnGBiKmRI6I3U7D6KdGIBhNHTMcos0dEEBKo3XOQQEDCGbc1dpjGa00zfaVzDA/HX1u6J1RXlJHkSN/v43hsjD4HtaQahbO3C0Pg9y9EZTQepIxJhspZyQSVAJYXCscrAeiSGQMmidwLZGNcCCAV1ieKDT4y88I9pvXKKHpdUJVLzBOXKBVVGL2OskS3dGQEOpkHDuAknjXtFHyAuID1L1AcSndbzN1gt8cTDEXdTdme1la00DmvhkLa+MNlZHJQ/wAAeGi693cP1JfaU70uAtYHP7PkDd2M7WuID2SW0rmh38JrLiKGWhH/ABYpQ0I4+MzHLshJhEwiYRMImEWTU/8AaOO/W/YXWVFr+kN9H1CsVv22P9mPuZ+zv9K8EpxyYXQKUQ3/AOctvpiPtTzIu+91HtfXK7pn7uT9SLVP0qZL4h00sGyjWftMImETCJhEwiYRMImEXXt4Trl844PavK8Oqok2mdiNo8VRMYCsS32wqARITCP6IjtVYAAPIA9Q/NmHrvaxwR76ZUwgBzobMvp/C7JCKnzS0NXXK+0IhtYe9RnjbBoe+1xzpKeF5sLcVPmlgZ5/ArlH2smwS2jslKL7n4YlfrinHejdj0f0AlhkStO47sAT7n0cC9ns+Ts9OnkzLJpJ079K4x91zdqOPty/mrXmMLOateNa1rXjVdgjQD7uTQeEkv8Am7c7EWZk5q83WG3jL+avHm5q1rxr0rAc3Ct2phEwiYRMIvThfnMT9TYe1JZqQ+6t9sPVVq3fq+pFvH9FerPiHIKwmTi82FRnsT+J/wCUP4Dkff8A5Ho+su1J+7N/7a/2P/0pUaZHrtRphEwiYRMImEXY1ov/ALtan/8AZUf/APICRzDNrz6y17/8WN/52xda/db672S+kCP4wjWl3wWrCWK5W2aGVVAqdo03aGKCQlL1VkI2y02aSMU/ZE4CmwYOvIAgUQHqPUQDpex32Mcbvae1vWCrrXNQOJ8THw3MZ8zi9zPN8XSVk4+06wzsh3frHJxtq+w1LayOPHhHJbXkB4Vpxkki40JFOFATX9/Gor7qO5T1OcMgcrGx6crhkHXQASWexNmuDF63KICIiq2bi2MbqAdCrFzT7kuQiudqrywDgbi2zU1W+ENkgt3NPnOdzgea0rS+zDzFve7BZDFB4N3ZaluQ5vhDJbazkY7znO6wDzWOWoDLxVkdW6jwQq4d3v8A2xbOv6GB1CaCEnQP/wARZ7jW3yKoD+UBIjVlS/7nQ45ZL35Mk2Hb/EYj8u4zHW18yC3maR6JnafQWMP7UzNNt9oNPae/4y71GJ6/3trZ3LCPRddMP/BUXeMfPN5fmKpHorprKVbVtHgXaZB6mauHC87ZyoLB1/CoZrY0lQD/AMBQo/nzdXcysJLPZoXD2kNu8rdStJ/KAEUFR5nNC5vngrfv2a2JmxvdsbeSsc1l/nr6dhPQ5rWwWpcPGOe2c3z2laqMuwV/6YRMImETCKy+bgXlcLBr/wDJm31NH2V5lHfe5D23rFZ+/wB3J+u7qn6K8l8faaUQ5FrumJhEwiYRMIrscMeEWx+YFuVSiu9q+sK89RQu+xnTXvmjBQ6ZXIQNfbKKIBOWhy2MU/ckMCTNJQirkxAURItwhvVvjpvZ3Dh13S61TcsJtrNrqOcK8vWzOAPVQNdUcxHNI4OZGHFryy1/vNd6XRXdw062TIct/ru8ic6xxzH8r5ADy9ouHAO6i1a6o5yOaZzXRwtcWSui6Hr1sTiz4WmjmNZr0QmEzIkVcV6msXLd1sDZk/1BFzZLRLKEBROPbqG/zh+4KVs0QIDZmkIlQaDjpwOnN1e9VrqTJ5GY9jjIE1y4FtpZRdLYYIwaF5H4kTCXyOJlmeAZJRhr0po3fzv77qS53M3B97ICG3F69rmY/GW/4zba1hBoZHD3OCMmWV5M9zIAZbgcwnIzkhs7k/sN9sLZcuZwsPeNa9XmZ1k67UYYTgZKHgGCihyt0fwFMusPVd0sAqKmMYfJlF23210vtbpyPTumYeVnB00zgDNcSU4ySuAFT0hrfxY2+SwALOxsvspoXYnRsWjtD24ZEKOuLh4abi8mpxmuJABzO4kMYKMiZRkbWtHGe/DGsJa5zh0a4VVBJtKP7bXlwEpRBU09QrRGMUupimMQRlXDcQEvQREOnXoIgOwO9DjjktjM7GwVkijt5h5nVXUD3HzfzYf0+f0gLiTv1YZ2b7q+qoY2800ENpcN6eAt7+1lkPTx/NNkHGo41pUBbC/HQr7oHnHK0poHMyM22VX3ToADu0XRFaZIx6Chuva7blI7kxA6dOiJst27iOQi6rUmKc4CfmspWt8JbS5Y8jzGnkB9sFZx9lLmLc22tcA94F0JMbcMb4XMIvY5HDzGkRA+3auf7MhCy/LZL4TFcPO83dcyAD+jqNf2FY1y9AEFCK0uYrKQD+cOw6siZw6fnLltHe4yTbDY7JW5/GvLm0hHmEXMc5/C2Ej0VZL9oXmm4rutZqzP4+RvMfbNPiIvYbk/hZbOb6Ktp45c83cbA4/1gq6ZnURTrtPLNgH9Mi3sc1CR7Zc5evQE3ClWVKUfzikb/cziPuJ2Eken9Q5QtIimvLaIO8BMMcr3AeaBO0n2wVvP2VGJmh0fq/OuY4W9zkrKBrvAXW0E0jmjzWi6YT5jh41omy/NZYEwiYRMIrCQvyaJ+mMPZUsnIfcm+1HqLzYe/V9d3eP6VNWfH2QSa+TS30x/7Krib3J3tT6idxX67uzn0qaT+Pseq95Br0nkwiYRMImETCJhF/RDnTOVRMxiKEMU5DkMJTkOUQMUxTFEBKYoh1AQ8oDn45ocC1wBaRQg+Ffjmte0seAWEUIPEEHpBC7L+cBiPeBe5lrCJBXW1MxdORednqM0CkK4aCbvOoekjMgn2P8Ajd706eXpmFzYwOg38wjMfXkGXc0cv8nSQO6PyerrXwcta8F1n+6w19r3ttMx4evVN1DI1vJX3Gk7X0p+T1PNXwcta8KrBW5nG0fCrTJHlNIyUjw3FmmkiQgKPZ2s60FmsimmUEkirLzEMYgAAAUDD0DyZPSCPS3euLrg9Xaxaz5iSTRsU17zAk8TQRyA+OnSt2TCHQXf+LrwiGyh3K5ySTRkF1k+drieJo2GYEk1JHSuQjMwy7GqYRdf+50UtV+F5OQb5wmiaC4oVqiKrqj2CrSEpR4SlEL+EenfPpCRAhQ/IJ1ADMOuinv1X3pYL+BpIuNWzXQA40Yy6kuT6DWMJPmBdcTbKR+vu/la5S0Y5wu9wbq/DRxIjivp70nzo44yT/etK5AMzFLsdphEwiYRS9QPkzn6mt7KzyUsfcj7b1guln+8bfXd0t9FeN+PtSrOcrFgETCJhEwig64ftHI/qnsLXIe6/SHeh6gXf1+xO/sx9s/2i/pXnVjOU6ypJhEwiYRMIvpZu3LB21fsl1Gzxk4QdtHKJhIs3ctlSrILpHDylUSVIBij+YQzSmhiuIX287Q+F7S1zTxBa4UIPmEGhWjc28F3byWl0xsltKxzHtIqHNcCHNI8IIJBHiXZoi4pviCcKXDdq9bN223aCRm7OcpHP2lsSIO3dd28QTDtGNV7vFpq9kAIZZFIpi9AOUcwtPjzXd63tbJKxzpcPkOZo4t7RaSVbVpP8vbPLa8Q1ziDUtIXWbkh1L3Pe9Aya4ie+bTmXL2AVb2vHTBzKsceH+VWMrm1NQx7nNdUsIXI7uLRe1dCWt/T9qUyaq0kzeumbZ48ZOQg50jUS9X9bmxSLHTsaqmoQ5VW5zgAGADgU4CUMvejdeaT1/iY8zpS9gurZ7Guc1rm9bFzfkTRV54ngggteB0VFRQnsT7bbrbf7t6fh1JoHJ2t/YyRNe5jHt6+Aur+buYK9ZBICCCyRoJIJbzNo42+4K8Etpcg9nUyy2OmzVe0jBysRZLNa5+PcxTCzRTU7WVb1+qA+QKefXsSIpkMu3Kdq2aqGVOoBhSTV4d34360rt5pe9xmNvYLjXE8UkMMETxI+CRwdG6aflP5oQmpDXkPfIAxrac7mW4967vY6C2d0Lk8Jhcna3m6V1bzW1raW8jZZLaV4dE64u+RxFu22PM4MkLZZJWiNrKdY+Pbj4xvIKEpWhm+iWD5Na6bdkolzIR6DgSOYijViXazjmTdgkmoJCy09GtWaCZzJekJ+kiAmBE5RtC7mm3t9nNfO15cRluEw8UjWPIq2S6njdE1jakV6uJ8kjnAO5HdUCAXtIx2fZr7PZTVG7T92LuJzdMacglbHI5tWzX11C+BsTKkV6mCSWZ7gHdW7qAQDI1w5dcynLPImETCJhEwiYRZNT/2jjv1v2F1lRa/pDfR9QrFb9tj/Zj7mfs7/SvBKccmF0ClEN/+ctvpiPtTzIu+91HtfXK7pn7uT9SLVP0qZL4h00sGyjWftMImETCJhEwi6qvCA3ZB7C4yk1I6eoKWzT0rLxjyJcnRM5d0+zSj6fhJVNER7S8eR1IumBvIPdi1KBugHJ2sUPfE0Rfad3POroo3DEZmKN7ZGg8rbiFjYpWE+B5axko48eckcWupgD+0e2uyujt8zuJbxOGntSW8MrJWghrLy1ijt54i7obIWRxXA4jm61xbUsfTRzzR4WbM4y7Mtwp1GakNPvJZ9K0m8xka8e11Cuv3neR8PNSSIOkoeZhgckZqpuzpHXOmCqQGTUKOX0bJ72aY3P0xZh15BHrFkLY7m1e9rZjMxtHyRsPKZI5OUyAxhwYDyOo5pCyp92PvO6G3z0Njg7I2sO48duyK9sZZGMuHXEbKSTQxu5TNDNymZroQ4Rh3Vv5XscFBWkOOe5ORFnjqxqqkTNgM8fgxe2D0J0hUa8UgN1Hb2yWUUDxsU1YN3SaihTGMucDkIkmqqommffmudyNGbc4uTKasvobcMj5mw8zTcTVqGthhrzyOeWloIAYKEvc1jXOHK+6W9G2uzWCmzuv8rbWbYoedlvzsdd3BPMGMtrbmEkr5HNc1pAEbeVzpHsjY97ep/Z1spfh1cIGUBGyzM8zTqUpTNfpqkQZObds6aReOlpdGMSOU5klbE/czD4hDGMm2Kp2jifoY2KfS+JzfeO3yff3MLxZ3t8Lm7IJcLeyjLWiMvI6RC1lvESAC8to0DgMBWhdPan75/enly99byjGZLKC9yBBc9tpjIHMYITKRQEW0cVnASAHSFlGBvkjjzOc6hzKKGMdQ5jHOc5hMc5zCJjGMYwiJjGEeoiPlEczItaGgNaAGgUAHgXZGa1rGhjAAwCgA4AAdAAX85+r9TCJhEwiYRenC/OYn6mw9qSzUh91b7YeqrVu/V9SLeP6K9WfEOQVhMnF5sKjPYn8T/wAofwHI+/8AyPR9ZdqT92b/ANtf7H/6UqNMj12o0wiYRMImETCLsa0X/wB2tT/+yo//AOQEjmGbXn1lr3/4sb/zti61+6313sl9IEfxhGuXLiPuFHQvJDUe1Hpzkh63akELGZMygGJVrA2c1uzLARMihlztYKXcLET6fpDplDydeoZUN39Gv1/trmNKQAG8ubQmGtOM8TmzQCpIpzSxsaXV4Ak8ehZ6O8TtvJu3spqLQFsAcle49zrYGlDdW7m3Nq2pIDQ6eGNhdXyWuJ49B6L/ABPuI8/yo1ZTL/qRJtYb3rcklIxcUzcpG+9qVZWzF0+aQrkDejPJVstHNnTEgnKRdI65CGFRRMpscHdc3fx+1Oq73T+ri63wGSLGSSOaf8muYXOax0jfxmxkPeyU0Ja4MJAa1xGF7uI94nEbBa+yej9xHPstJ5sxxyyvaf8AIr22c9kb5m05mRObJJFOaExubE5wDGPI5dE9d7AVtw0BKi3FW+AuVqNJTrE2e3A5OgR0VuNbKxGZBczZQqgE7ntCmYDdOggOZTnaj08zD/rC+/shgOXm7SZ4hb8tS2vXc3V05gRXmpUEdKzyv1lpCPTv63yZXGt0nyc3bTdQC05Q4tLu0l/U8ocC2vPTmBHSF1P+G7xafcO9GXK67gUj67dr0CFtuia65DJUimVWNerxMPLPU1l2pn0em9fPXp0R7BBcFRHtih2zYp+8purBvJruywmjhJcYOwrb2xANbm5ne0SSRtIDuV5bFHEHcSGF/DrOUYCu+xv3a95LdbGaX24E17pfEl1pZFrSDfXt3Kxs00TCGv6uQsgggD+LhGZByiXlHNDyW22O9t9bU20VJVBpdLc/fxCC/aBw3rzQEoqtt3IGMfsuUIBg2IoAD2QOAgHQOgZk32x0h+oWgMTpEkOmsrNjZCOgzOrJMW9HkmV7yPDSleKzi7H7djafaTAbeFzXXOMx0cczm/iuuH1luXN4DyXXEkhaektIrxqoNzfa5UTCJhEwiYRWXzcC8rhYNf8A5M2+po+yvMo773Ie29YrP3+7k/Xd1T9FeS+PtNKIci13TEwiYRMIpv446PsHIzdFF1BXVRaOLXK9iTljIKrowVej0FZGwTSxEyGAfQIpqqZIhxIRZwKaQnKKgDmxtydc4/bfRV/rHIjnjtIvIjqAZZnkMijFT+VI5vMRUtZzPoeWi4t3p3Tw+y+2WW3HzTeshx9vWKLmDXT3EjhHbwNJI90lc0PIBLI+eTlIYQuxOWqMtxx48jSuLGpW1snalCpxFAo/xqAgWbqUdrdHFhs83Y5mAbPOjldV/IH9I9MfLCYpehlBOTDXaZi03J3F9+91cu60sbycyXd11csrmsaOEUEUMcpb5IbFCOTq4m0J4N5T1tMdqPHb1byjU+/uon47E5G6M1/fdTcTvbExvk29rBbQ3DmeS1sFu3q+pgZQmoYGu5wNm8APEs3HdZrYWx9WP7RbJ9x376SfbS02PYTL1BuxYtibCK3j4xil+jQbolIkiQOhShmSfS/eC7sujMJBp3TWVjtcTbto1jbHI8T4XucbSr3uPFz3EuceJKzW6F73/cf220va6O0Vn4bDT1ozljijxeZ4k/jSPcceXSSvPlSSPJe93FxKwH/Cx54/0Ff6ztN/1h5uD+tXsH/09/7Fkf8ANFu3+vz3S/lZ/NeZ/wDdyii46U5CcItj6ku+1KL9mzrWzsbtTG/3XUZwJZehTULJO0zuKhO2EGCZHDhuQ3fgQTlVHslOAG6bsw2t9u98dN5jBaUv+22L7V1tcnqLiLqxdRysaaXEUPOaB5HLWhbxIqFyFprdDZzvSaK1FpbQOV988TJYvsb13ZLuDqm38E0TCG3kFv1hLWyOHJUAtHMWktr0o8xtKRvPjiTASmq5Fi8nFUoLa2rXblwRu0lF1Ypyi7rcg58pWKslFSa7cwKdkqEiikCwkKQ4hjP2a1vc7Abu3FtquKRliDLYXzWirmASAtmY38oMkY14pUvhc7kqXNrhE7te6F73Re8ReWGv4ZY8U10+KyrGtLnxNErXMuY29MgjliZIC2pktnyGMOLmA8nVo1hsak28aBbaNa6/dRclao1aUgpJtNvFTu1mKAxzA7fv5NF07bnIgq3BVJcSj3ZjBmWzFap03nMP+sGIv7S4wfLzGdkrDE0Boced9aMLWkFzX8rm18oBdhHA670XqjTn63aeyuPvNL8nObqKeN0DAGNe7rJA7licxjmue2QtcwEc4aujTwmOF100iws+9ttwi1Yt95gG9cp9VlUFWs/Xqgq8by8vI2BmsYpouQsL1izBNoqmR00RaG73siuKZMbve43rwmubi10HpCdt1h7C4M1xPGQ6Ka4DTHGyFw/HZC10lZGkskdIOSojDnYW/tDO85pjdK7sNp9u7pt/pzFXjrm8u4nB9vcXgY6GGO3e0Uljt2STc0rHOilfKOrqIg92nTxFd5Ru/OVmwLNX3JHtUq4M9d1V8mcTpP4upGcoPJJuftGKdlKWF0+ctzF6AZuqQwh1EcvL7uOhLnb/AGnx+MyDSzLXXNeTtPAsfccpawjwOZC2Jjweh7XDoAWSfuY7VXu0Xd/w+CzDDFqC/wCfI3TCKGOW75XMjcOkPit2wRyA1pIxwrQBUcznVXUJhEwiYRWEhfk0T9MYeypZOQ+5N9qPUXmw9+r67u8f0qas+Psgk18mlvpj/wBlVxN7k72p9RO4r9d3Zz6VNJ/H2PVe8g16TyYRMImEX7tXLhk5bvGip0HTRdFy2XTHsqIuEFCqoqpj+Y6ahAEB/wB0M05Yo54nQTAOie0tcD0EEUIPmEcFpTwQ3UD7a4aHwSMLXNPQ5rhQg+YQSCuy2STqfiD8InbWHk2CP72aC07K6vRclT2TCKs5IrSTRanBZI1eusUQqxCiBlW5epepFC9rC9bOy/d53xZLeRSE4jIO4DgbizlDmczC4UPXW0hLSfxXmho5pp1orJ+oe533pY7jJQTO/V7Lv8keSbvGzh8fPEXjlPaLKUlhNQ2Q0dRzDTke2xpPaujrI7qm1KPYKdKtXblmipKR66cVLC1EneOoGZKQ0XOsDEUIYq7RVVMSmDy/mzL1pHXGk9dYxmW0pfW95auY1xDHgyR83Q2WP3SJ1QQWyNaag8F2Jdvd0NAbqYSPUGgcrZ5LHyRteRFI0yxc9aNuIa9bBJUEFkrGOBB4K4fBLgpsrkTtCoWCzU6Yg9HwMnFWK12mwRSzKLtEW2MjJtqxWSSSBE7GtZSAmksogVVs1ZrGWUN2hRSX4b36340ztzpa8x2LvYZ9dXEUkMEEMgc+B7qsdPMWGsIhNXNa4tfJI0MaKB72W297HvX6I2Y0HkcPg8lbXW6l3BLbWlrbytfLayu5onXVyY3E2zbY8zmNeWySzMEbG0EskW1TxleRsPVtRRnHWEkmzi4bKkYmctrBBcp3ENRK8/JKsheppKAo1XsFmYNfR+2HRRuzceTylHLUe5htveZXWEu419E5uGxkckVu8igkupmGN3KSKOEUD389OLXyR8ekKwL7NHZbJZ7cWfefKQPZpvCQSwWkjm0bNf3EZifyEij229rJL1nLxbJNDx4EL3PB03FDbC43z+jphZBea1bNS6IRLlbvDyFCvLl3MN3JUlAIY7dKeeSTVYpBOVIvc9oS96UuUHfK0be6d3Kt9dWYc2xysEZ6wCnJdWrWxltR4TE2F7SaFx56A8hKivtJttsno7euz3VxrXsxmftYT1zRQR39i1kLmkioDjAy2lYTQvPWUB6txWlLmNwn2hxYvlhI4rsxMakXknLumbEYsnT6ENBO35UoqNsciiiZCFsbT0pJssi5FPv1vxoCoQxRy9zZne/S262AtjHcww6vbG1tzZuc1svWtZWR8LCayQu5XPa5nNyN4ScrgQsoHdr70Og9/dJWb4b22ttw2QNZe4572RzidkZMsltG4801s/lfIx8fNyM8mXke0he5wg4QbH5P7HrD59WJWJ0rEyrCVut1lWD1jDS8Mxego9rNZeqA2LNTc0VsdqItTqFYFUFZYQ6EIpQb5b5aa2u01dW9vdRTa3mifHbW0b2ukjkc2jZ52jm6uKPmEn5wAykcjK1c5sV3pu9NorYjRV9a2t9b3G59xbyRWVlFIx80Mz2UZc3LBzdTBDzCX86Gmct6qKtXOZty8aDeETVdM1PQUYuiNh2PNMLFMMERAoRtJp7kHDQy6SYlBL4rZ02wNgEBKYrFfyAJSjloXcq0Nd5bWt3uBdNPvdjYHwxuP5dzcN5XUJ6ergL+fwgyx+AlY6/sydq8hn9zMju7fsd7zYW1ktoZHf8AGX143lfyk1r1VqZDLQggzxcSHFczGZPFnKTCJhEwil6gfJnP1Nb2VnkpY+5H23rBdLP942+u7pb6K8b8falWc5WLAImETCJhFB1w/aOR/VPYWuQ91+kO9D1Au/r9id/Zj7Z/tF/SvOrGcp1lSTCJhEwiYRMIrbcUeZ24OItjeyNBdMZmqzyzY9roNi9KXrk13BiEB+29FcIOYawpNAMmk9REfIJQWTXTICWcQ7s7K6O3fxrLfUDXw5a3Duou4eUTR1r5DuYESQl1HOjd5pY6NxLlbx3gu7Ntx3i8LFZavjlts/aNcLTIW3I25g5qnq3czXNmty+jnwPHjMT4nuL1u0rHjf6CdxqStz1Jt+AmBTRFZjWApdujU1TJgLgiUtK2akulk0lupSGFkQVC/iEpB/CFkGU7jW4EVyWYXL4a4s6mjp+027yK8CY44LloJHEjrDQ8AT0rF1nfsst3be+dHpnUWnLzG1dyyXXbbOUivkkxRW180Eji4CZwaeALh5SircXjfRh4tyw0JqKVJKuSrpoWbartg3QjA7pAEVy1GrSMoEm4Moor0A8sgml3RDCVYFDET3Xo3uNXQum3Gv8AMQ9kaQTDYNe4v4mo7ROyPkFA3ot3F3M4As5Q52/9tvssr5t+y73c1HbnHsLS61xTJHOl4uq03d1HF1TQAzotHufzPAMZY1z9D+w9i3fa9wmb9sWySNst9gcA5lZuTOmK7g5SFSRSSQbpoM2LNsiQqaLdBNJBBMoETIUoAAX76d03g9JYeHT+nLaO0w9u3ljiZWg41JJJLnOcalz3lz3EkuJJqss2jdGaW2+05a6R0ZZQ4/TlmzligiB5WgmpJc4ue97iS58kjnSPcS57nOJKwrJtbnTCJhEwiYRMIsmp/wC0cd+t+wusqLX9Ib6PqFYrftsf7Mfcz9nf6V4JTjkwugUohv8A85bfTEfanmRd97qPa+uV3TP3cn6kWqfpUyXxDppYNlGs/aYRMImETCJhFJ+ntx7E0NfYfZOr7E5rlphxUTKumUi7KSj3HYB7DTUcsBmsrDvykKCqCpRDtFKoQSqppnLtbWWjNOa+wE2mdU2zbnFTUNDwcx4/FkiePKjkZU8rmnoJaasc5p2JuRtrozdrSNzojXlky9wFzQlpq18cja8k0MjaPimjJPK9hBoXMdzRvex2+XV/jhUheKao7p03aoucRTMR7JaveRE7FSCpSEMRy1hLZLVx5DpqKGMUUDyD4SFKBu9OJhISwbVPcZzkd25+ic1aS2BNWsvmyRSMFT5LpYI5myECh5hFFUkjkFKnEtrz7K/VEWQkl2w1LYT4pxqyLKMmgljFTVrp7SK5ZMQKHnFvAHElvVt5eZ2R3nxwNNtIhwbWun9m2CeMgcGqN5XqtPiEnRlUSJncOYCdvD1dBJE6igkKimZQyZUwMQFBVTjsF3GdaTXjRqbM4u3x/N5RtRPcSFtCSA2WK1aCTRtS4gAl1DyhjoXSv2WG5dxkWN1vqTBWeIDxzmxbdXkxbQkhrbiCxY1xcGtBL3BocX0cWCN+jDknyf2vyovX3vtCXTVKxTcM6vVooqrSrU+LcKkVWYwccosucFXR0iC5drHVduhTICqhiJJETvt2z2t0ltTgfePS0JBkIdPPJR09w8CgdK8AcG1PJG0Njjq7laC55dlZ2R2I2+2C0p+q2g7YtMpa+6upSH3V5K0ECSeQBoo0FwiiY1kMQc/kYHPkc+u+cjLmVMImETCJhEwi9OF+cxP1Nh7UlmpD7q32w9VWrd+r6kW8f0V6s+IcgrCZOLzYVGexP4n/AJQ/gOR9/wDkej6y7Un7s3/tr/Y//SlRpkeu1GmETCJhEwiYRbjaL4tH2Vxrh+PP7gfiXwnVLjWP3f8AvU9D9I7+Acwfxv7f/du67rs+kd76N6abr07Pe+XtBZlnu6N797lz7ifrB1XXZYXvZ+w81KSiXqut7Y2vRy8/VDx8ngWNfVf2ef6z733O8n639R2jUDcn2P3q5+XluGz9R2j3yZWvLy9b1A6ebq/AtOWXmrJQtrvDrxUtjccq3Gaz2DXTbW1nEAk1rvSTLE3CnRZCgQIqKkFWrpnNQrUA6t2joqaiID3abkiJU0iWl7y91LTm5GTl1Pp25GJ1PNV03kdZb3Eh49Y9gc10Ujvy5I+YO/GdEXlznY++8n3A9F71ZufXOj70af1xc1fcfmuts7yUmvWyxhzHwzP6JJoi5r6c74HSl73bIz+NxxlCPMolrbex5UGnbIzPB6/TjzPu66g2NJF2Kq5K07/8PfA0E/Y/F3XX8OW1t7ju5/aA12TwIteenMJbsv5a9PJ2MDmpx5espXhz+FWTM+y23zN4GPzekxYdZQvE+QMnV1/GEXvcGl/Lx5OtAr5PWU8paweZXifbM5OwkhripQRdWaneuOknGN5RSTtdwaN1zGao2WYSQYtWkUt2E1jxrVISAqHYVcOSFKOXRbMd1zTG199HqXLz++urWN8h5YGQW7iPKMMZLnOkFS0TPdXl4tjicSr7e7T3EtDbFZSHWuobs5/cKJn5qV0QitLN7m0c62hLnvfKKuY25lfzFvlRwwOJWr3LplfgmETCJhEwiYRWXzcC8rhYNf8A5M2+po+yvMo773Ie29YrP3+7k/Xd1T9FeS+PtNKIci13TEwiYRMIrd8LOUzfiFtqT2mvrwmylXtHmKezhzWgKkMc4lpivSJppOTGt2gVTpNIVVt3INyCYroTd4HZ7J+H97NqpN4dIxaUZkTjGsvo7h0nUdo5xHHMzqyzroKVdI1/NzmhYBymtRbp3ntg5u8bt5BoGLMnCMiysN4+YWva+sbDDcRiExdptaAvmZLz9Y6hiA5Dzczdp/8Ajs/9Vn/Xf/0Q5an/AFDf+9f82f8AaCsF/wDpPf8Af7+Y/wDtdP8AHZ/6rP8Arv8A+iHH9Q3/AL1/zZ/2gn/0nv8Av9/Mf/a6f47P/VZ/13/9EOP6hv8A3r/mz/tBP/pPf9/v5j/7XWu7nTzh/wBtOQ1s/wD3Yfu1/d6ztLTuvvX7y+L/AHKvArd52/tKq/D/AEL4J06dF+8738pez+K4zYjYv/Unb5OD3098/fF8Dq9m7P1fUiUUp2ifn5ut/vacvhrwvM7qPdX/AKsVlm7T399/PfmW1fXsXY+p7M2dtKdruus5+vrWrOXl6Hc3D2eGXiM7S4ktVKatFN9kamcu1HpaVJyB4p9XXrpcy0g+qU6Ro/GPLIHUMo4aLoLtVVQ7ZARUOqopRb092/Su7sozUcrsZq5rA03LGCRszWijG3ERczn5AAGSNc17W+S4va1jWxneZ7l2gu8RO3Usdw/CbhMjDDexRiVlwxreWNl3AXx9Z1YAbHKx8crWeQ4yMbGxm25j43HGVRkieT1tvZpIGIYXDVjB6/kWSRwMYCFRfuNixa65DEABExmyYgIiHQenUbRJ+47ue2YttsngX29eDnS3bHEea0WbwPODz5/gWO67+y23zZcuZY5vSclmCOV0k+QjeRQVJjbjpWtNa0AkdUUNRWgoZyu8XfYG5qxL6605VXGp6lPMhjp6yvZYJG+y8e6QTB/HsVWCTaOqrNyJ1W6opHeOV0QAxVkO2dIOfNpu5/p/ReUh1HrO7blsvbv54oGx8lrG9pPI94eXPncKNe0OEbGu4FknKHK7bu+/Z0aP2zzttrPcrIM1DqK0l6yC2ZD1dhDI1x6uSQSF0l09tGyMDxDEx9Q6KXlbIdOWXmLJOmETCJhEwisJC/Jon6Yw9lSych9yb7UeovNh79X13d4/pU1Z8fZBJr5NLfTH/squJvcne1PqJ3Ffru7OfSppP4+x6r3kGvSeTCJhEwiYRW94nc1NwcRJ987orlnO0+eWSWtOvbELlWuzC6SYIEk2h2yqbqDn0m/QhXbceihSkK4TXTTIQOHt29ktHbwY+OLPNfBmbdpEF3DyiaME1LHVBbLETxMb+glxjdG5znG3PvCd2HbfvGYiK31YyW01JaNLbXIW/KLiFpPMYnhwLJ7cu4mGQeSS50L4nvc87rax43+gncakrc9SbfgJgU0RWY1gKXbo1NUyYC4IlLStmpLpZNJbqUhhZEFQv4hKQfwhZHlO41uBFclmFy+GuLOpo6ftNu8ivAmOOC5aCRxI6w0PAE9Kxf537LLd23vnR6Z1Fpy8xtXcsl122zlIr5JMUVtfNBI4uAmcGngC4eUon3P43cetEO43QOppdtLu03KLe17RcxqJIgDIIlQdIVGtvphGSeAsqoYoKyaaKQokExFwUMRPduiu45csvGXO4OXhdZsLSYLFryZOJq03EzIyxtA0eTAXO5nUcwtDnchbZfZaXcWSjvt3tQ2z8dG5rnWmLbK4zUcS5jru5jhdGzlDQeS1c93O4NfEWNc/Qvd7vbdk22evV7n5G0W6zv1JOcnZVbvnj52oUqZevZKRFu2bIJkRboJFTQbN0yJJEImQhAv6weCxGmcRb4HA28drh7WMMiijFGtaOPmkucSXPe4lz3lz3uc5xJy16W0tp3ROnrTSmk7OGw07YwiKCCJvKyNgqfNLnOcS+SR5dJJI50kjnPc5xy7Sm7NjcfNhQ+zNXzhoOyxPaQOCiRXUZMxLhRE8hATjA4lTkIaTKgUFU+pDlMUqiR01iJqEh9b6H03uHp2bTGqYOvxk3EUPK+OQAhksTxxZIyp5TxBBLXtcxzmnbu6G12i94dHXOhteWgusHcUcKHklhlaCI7iCQcY5ouYljqFpBcyRr43vY7fdrnxwdYOohAu29O3yEnk0RK5V1y5r1piHjgopgCyDezTVPeRqKwCce6Mq7Mn0AO8U6iYtgWpO4zqmK8cdI5nHz2BPAXjZoJGjjwJhjuGvI4eUBGHcTytpQ4jtafZYa7gyLjt3qXE3WJc6rRkW3FrMxpr5LnW0N4yQjgOYNiDqk8jKAH4dpeOBQkIVyjpXT9wlLCuiVNpIbQcQtfh4xc5HXbdLxNVmrO8mk26hEQBArxgKoKHEVU+7KCuvpXuM6gkvWv1tmbOLHNNXMsRLNI8Vb5IknjgbGSObyjHLy0b5DuYllVoL7LHVsuTZJufqTGwYZjqvjxbZ7iaVoLaMbNdwWrIC4F9XmGfk5WgRv5yY9CG29t37eN+ntlbKnnFhtdhcAq6dKgCTVm1SDsMoqKZE/QRsRGodE0EEwApCh1HqYTGG/wC0hpDT+hdP2+mdM27bfE27aNaOLnOPF0kjjxfI88XOPEnxAADLlt5t5pHavSNpojRFoyz0/Zsoxg4ue48XyyvPlSTSO8qSR3Fx8TQAI2zcy3smETCJhFL1A+TOfqa3srPJSx9yPtvWC6Wf7xt9d3S30V434+1Ks5ysWARMImETCKDrh+0cj+qewtch7r9Id6HqBd/X7E7+zH2z/aL+ledWM5TrKkmETCJhFOPHDRFn5K7lpenKo7axTy0vXBpOxSKSysRVK3Es3EtZLRLiiJAIwhYdmqqIHOkVVQCJd4QVAMGtbQPup2wMoC49J6AOkk+YBUlcX7zbq4PZXbfJ7jZ6OS4trCJvVW8ZAlurmV7Yre1hrWsk0z2M4NcWt5n8jgwhZRS+OB7zrLkRtWK2FXUKxx+tmpq27fPo2aTZ2lhtu52CoxVmaqItl5CKioskCL5dM7RZyZuqBSpioXsj9R27pLeS4BHJGWg9PHmJApw8zz1Bal3mbpfW+jtBX+HvH5zV2PytyxjJIS+1fibO3u5bZwLmxyyymfqGObKyMSNq5/IajH91cd7zobZjDW93e1oyU80g52obAh5Y0jri50qynAIO/VqypNgLI1J4n2zGcFS7aQpKEOQFCGLnzPBJbydXJToBBHEOB6HNPhB8B9DpBCl9s94dL7raJl1npiK9D7SSeC7sJouryNne2w/P2FzbF35u7YaARl3K/mY5rixwcria+8L+4Xm10iDLyT4xjEXCw1qKCVrFxtVqkhjbBJMmgSFehlKZBMbG+Fs77xo2NIM0ninYILhEp+9LVw47rZWRddD5TgOBJPE04CgqfMqK+NW56v78mndLYDKZQ6L1x74Y6zuZequbO1tY+st43v6u4mF5O+3ZzM5ZZBbzOhbzO6mQt5D8928Ma40+wW6MPyS4vliqtMz7A8pYbtaq68LHwj123M/nI4lImGUE5Bs17xygD50k1P2iguoUveG/JMf1cjmddD5JI6SOg+ctbTHff05qLEY++bovXJv762gkEVvZWtwwyTMY7q4JDewvnbzO5Y3mCJ0o5XdUwu5BRWhavmdhbJjNcQj1oud5Ym8K+tLFlOztbhYtSZbw7q4vzQMTIy/2owF0RdRwRqYQQMA9kBEAyhY0vcGjhU9PGg800BNB4aAnzFdPqvXON0houfWWUika2OzdMy1e+CC4mlELpm2cfXyxxdqk5SxsZlA5wRzUBKuJO+G3vWpUvf8AP2iOmUbPpzZ9H1XUqfXalK2k25Jm3PHR3cnUZZiugdCEia4VvJEW9EciuRz3KpWyqZwCtfjp445XSAh8b2sAAJ5ia9B8wCvRxqFbniu+jtXqDUuksTg5rZ2D1Hg73KXd3cXcVr7zw2jGhkV3E9rg6aW4Mls5nWxhhj6xhnje0mt/I7jneOMl/Pru9LMX8q3jYpd5JQjWd+AIzjmGi5Ofq7SZloeLYzkpUXUoRo/Ujzu2qa/Qvegp20yU1xbyW0phkpzilaeA0qR546DThXwlcz7NbyaX3v0kNY6WbLFYPmlayOZ0HXugbNLFBdPhimlfBFdtiMsDbgRSuZ5XJycr3QBmiuWkwiYRMIsmp/7Rx3637C6yotf0hvo+oVit+2x/sx9zP2d/pXglOOTC6BSiG/8Azlt9MR9qeZF33uo9r65XdM/dyfqRap+lTJfEOmlg2Uaz9phEwiYRZlryhWbaV8p+t6awNJ2q82OHq0AyKVUSqyc0+RYNjODIJLqIs0Drd4ur2DAkiUxx8hRz6jY6V7Y2Cr3EADzTwC25rDVeE0JpXI6z1JKIMDi7Ka6nfwqIoWF7g3mLQXuA5WNqC95a0cSFZpDiA4ktq8stZQGzq5Oo8U9Y7Q2VLWpnEyIRd1R1XN12vzcJCoHX71k6Wk54yZFznWbiLYwlMchyHGqFm50s0bXNPUtcSeNCGkDh+Hh4FwjL3iIbLQWgNb5bB3lrJr3OYzGxWr5Y+tsjlIbi4hmmcG0e1scAc6MBkn5xocGua5oivc3Hm66Ui9b2eWf1u20PbdTbWug7Co8g6mKhOlIm3JYa+V87YRjtlaabJr+hyse5QRctFwDtF7JiiOjLA+FrHuoY3tq0jiD4x57TwcOkHzKE78223f0zuZfZrB4+G9x+qtP5B1rf4+9jbDdwElxt7gsZJIx9reRN661nje+OWOtHVaQLDVfw97fbq9DWaI5DcVjx03Ht37cp9j2w67fviAKzJ56Jrt03TkGC4GQcJlUP3S6ZyCIiUc1W2gc0O62EVFaEmo8/h0rh/Od7zTunsxc4TI6P14Ly1mdG6mOtQ11DweznyDXGORtHxuLRzMc11KFTNt3wnbnrfY1mpMXyR49yTCBcMkW764zFoo9lXB1FsX5xlKrH127s4dUirsxSEJKO+8SKVQRIJxTJU3OL7PO6HrovJPhJB6K8RQ0/CVxtt73/AHTes9G2Op77Rer4Lq7Y9zmWcNte2zeWV8Y6q6kuLJ8wIYCSbWLlcXMAcGh7tbM5ryVjtgSWuoCShtjybGTXjGctrRWRt0DYfRkRcLv62u0jEpKXjk25DnE5GoG7CZh7PQMjXNIcWDyiDTh4fOV6WL1hYXmkYdY5aG5w1jLA2R8WSEdpPb8x5Wx3LXymOKQuIbymUirmjmqVelz4ZW44WR3mSySZSVvUuj4zclUudVq87aILbq1pNFJ0in1ZJcIGXjpKwOHjlFcXDYXbBVmIHaHIomca73tmb1hkPkMiDwQCQ7mIDQOg8a+EcKGoVrMPfc24ydnpZ2FgJzOoNUSYe6s7q6gtp8SLXrTe3d0W9fFJHbtZG9nVyCKdkw5bhrmPaK0b54t7N46xetn2xGgNXuwaZE293DIxljTdUVWfUkl4Oq3F+/hWcG0t8hBR4PzRyDpd22ROILppdCipTT20tvy9bwc5odTjUV6AeHAkcaeIivHgua9qd9dEbx32atdHydZa4jJS2jJjLblt8IBG2e6s445nzvtI55OoFw+JkUjxWJ76uDK35oLmdMImETCL04X5zE/U2HtSWakPurfbD1Vat36vqRbx/RXqz4hyCsJk4vNhUZ7E/if+UP4Dkff/AJHo+su1J+7N/wC2v9j/APSlRpkeu1GmETCJhF+7Vq5fOW7Jk3XePHi6LVo0aoqOHLpy4UKkg3boJFOquuuqcCkIUBMYwgAAIjhaU88FrA+5uXsjto2Fz3uIa1rWirnOcaBrWgEkkgACpV70OBtlNy7rHDpfY9XJfZOlHsVql20bJO4mk2VnqGX21MUd8QFEVZORimkWDI7hEwJ96sUTFIYiiRK8Y+U3nYuZvW8tT00BDOcg+aOg08KtVl71mFb3er7vGRYa+Ok4MmLe1idJGyW9tn5aLFQ3rDQiOOV8vXCN4LuRhAc5rmSOgG48ebrUtM6534g/rdt1psJ4/gFZqoyDqSPRLxHHcqL6+2C0csGC9ctq0UgV+3SMCiDtmfvUFVSAJspnQPbC244GJxIqPAR+S7xGnEDwjiK8actac3f0zqDcnM7TSw3uP1th445xDdxtjF9ZSBobf2D2yPbcWglcYJHAtkimHJLGxxAUx6u4O2fbNIhbzBb242RLSXRMZaDsV+srWyQTog/ji7CwjaJKto6UTSMRQyILnEE1SG69DBmpHa9YwP6yJtfASQfR4LjjXXehwegNT3OlsrpXWtxcW7qCe3sLZ1tO09EtvJJfROkiJBaH8jfKa4dIKsTsjwnbnR1KQmw5I8e3wWvW9QvDwbNMWipnaP7I0WcOWMERnXbV9w1lsZMAZyyox6z4giYzFt0Ao1U+L6gsHXReVG13EkdI8HA1HiPCviC4d0Z3/dN6oZlH3ei9XxdgzV3ZM7NDbXQfHbPDWvnL7i17Pcur+etWi4ZAaNbdTVqNeG0dTSOsthLa3RtdJ2XMpHYNiv8AVUtIWqGcSr9TuAgWy68REv1pxq7/AECzYG3bIuPYDqbyZHSM6t5YC11PCOI9BXg6F1/Z630g3Wklhk8JjXB7urykUdrM2Jg5uvc1s0sYgczy2SdZylnlcArqa/8ADI3Fbbhq2Om5dKB15sjTVp3G82ZG1awTjSktqdCybqwUqyVuTJVJZtdIuxNG8Yq2OZJM5nQLNlHBUzlytixs0jmc3CJ8bn8wBNA0GoI4cQRynzSKEhW0au7723On9O528xlu671hhdSWuHZjZLq3gfeuvJo2wXttcxG6idZy275LlkjQ9zRF1czIXPa5Vw2PxO21qnTOu9y3eIcQrLYzqwHZVJ3CWhC01+twz6PiGFuthVoIkNXIezzbtRtGpu3aLp4KQKIpKJmMZOnktpYoWTSCgfWg41oOFSKcAT0eOh8FCeZtG7/bf6+3IzG2+mLhlzdYaO3D7tk1s61uLmZkk0lpaUnM1xNbQsbJcOiifFDzFkkjHgB9Zcp1zcmETCJhEwisvm4F5XCwa/8AyZt9TR9leZR33uQ9t6xWfv8Adyfru6p+ivJfH2mlEORa7piYRMImETCK48rw5ssBfuI2sZ64wsbeOVjPXkoWAPGSRnur4nad5LUqS7tSancelOZONULJHap90ugTqmYvlTVUrOxSdbDCSA+YNI8zmdQV88UPnEK3Gw7x2Ey2k9wtcYrHXM2l9BSZCLrxJHyZOXF2Ju71lqRzcrYpAbcSu5mPdR7TwexnjX7iJfqbSdpbDiJ6qXuuaY3FZ9PbMaVp29Na6K7hZ1evwFutlbdskVIyn3l+2UTjXqSzpDvyCgqci3UgfD7WRjHyCjmRv5XU6QfASPA1x4A9FQRwNKyWku8LpPUmp8Fo/I2l/iszqXTltl8a+5Yzst8yaBtxPaWlwx5Et3ZRua64heyJ/IRKxro6OP06Q4hT+9qmraoDcugaoZtILsHlYvd2n4m2MO7EQbPXsTFU6dSbR8l2Di2UMt+lBI/QA7I5+Q2/XN5usjbxpRxIPqHgtDc/vD4navPtwOW03q2/D4WyMubGygltX1/GYyWW8gLpI6t6xoZ5HM3j5QVrbR4TtzgKBq64t+SPHtw+v7e4rSLKVmLRD16PGs2M8I1Cq2ZCuy7u4pOkC9t6deMh/QHPVAgOih3+VkmL6uGObrovzgd4SBwNOBoa+bwFDw49K4EwXf8AdN5bVud05NovV7LXEvs2xvihtpriTtNuJ3dqtnXELLMtceWEMubvr4/zrjAT1SoXvXRr/Q1hjqzKbF1XsCRfR5n7o2r7LJWJCC/GQEWU98TgYBxHSDpBQq6Sfdm7aBin69BDKCaLqncvM13CtWmo9QcVddtZula7rYebN2OGz2Is4purb7520du6fgavg6qedskbXAsc7mFHgtpUFWQ1j4c29Nlpcd5Vk3O0rm9Niv8AXc89LX7Cea049iXia799fK7LMoFUzdepCeXYqNlzM3SRARM5RWOUBqYMfPP1Rb+JJJyVFSWnhXmHDwHmFCajwg1C4Y1v3yNrdEyaxsLp4kzOlsNHkIGG4txDmGSsLY2WNxE+cBzbvltJmyME0TiZBDJG1xGFbA4SbUoet9h7ccFdLUWpbanNaVM7+qWyMsmyIaukl3czsqGg0IqVbQ1Ii4xk2XcPXzxJmQ7ruSOFFSAVTTfaSMiM/wDxQeWioILqdJA8Q4VNekgceNNzaR7zmg9V60w+3sJY3VOQ0/BkrsR3VrLbY6a4MTIcbNO6WJ017LK+RkcMELpiIusdEyNxcymmUquRTCJhEwiYRWEhfk0T9MYeypZOQ+5N9qPUXmw9+r67u8f0qas+Psgk18mlvpj/ANlVxN7k72p9RO4r9d3Zz6VNJ/H2PVe8g16TyYRMImETCKwjDj3NqcZ7BybmJ+NgK012fCaopkA+Zvjy+wbC6iH07Zl4VYhCtkI6pRaCJ11j9tJRRUyXbIqQpFdcW7uzG6JAZzho8ZNCTTzhSvnhcQ3e72MZvZZ7IY60mu83Jg5sreTsewRWFu2VkFs2YE8zpLuVzwxgo5rWtk5XMc5zJsV4C7FkJipVWm3KlWe8Xfivr/lNVaEqtIQtruEPd2C8s7oVGZrtXbKz3atRDRZ2q29IbKO0EjmbkUEpwLrnHzc7Y2FrpHQiQDwkEVoBTi4DjTwgGlehcZR97LRtnjshntR43J2Ol8Zry/0xdXwEc1raTWT2xMvr57XMfbWVzK9kTJOrkbE9zRM5gc0ugLRuiZLelklKrH7C1druVjWXpiJdp2OTrScycihyuY+DLGwE86fSTJFI6yyXdE7tEhjiPQB6U0MQmdy8zW8K1caD1CuWd0d1LLazCwZ67w+dzFhNLyH3rt47kwggFsk/WTwNZG8kMY7mPM8htOIV8a34TtznNc7Muzjkjx7Qf0RxR0Y9jGTFolq0/C1ykkweDaLUvXYp5UVWiTEpmBEIuW+IqidM4tATBQ9fHi+eCSbrovILfCaeUSOJpw6OHA18xWp5rv8Aum8XrLCaYh0Xq99rlWXrpHyQ20VzH2WKORnZrVtxKy7Dy8icvurTs7Q17RcF/I2qW7+IU/omppWqf3LoG1mcyCDBnWKJdp+Wtj/vBAHL1lEytOgknMfG9sguVCrfogVJ1Ae0GUc1v1LebrI3caUaST6g4LnvbDvD4ndTPuwOJ03q2wDIXSPub6ygitWU/FY+WK8nLZJKO6tpZ5fK7j5JXhal4n7Y3TrLaey6PGHfI6vhI2zGrSkZPEm7tXVJdaGsUnRXBYk0DPHprgqZn7UrwrwSqgCKSpwEmfkVtLOx746EMbUjjUitCRwoacK8RwPCvGktuBv9oDbTW+B0VqicRSZ25ktu0iSAw2VwIhNbx3zetE8AvGlwglMJhq2skjGkOVjrR4ZO44K3L1ZpKgs1rPHGE3vs20zVPtMZXaPYJiBPKl1A1WhWtqf265Hfrs2TUjJAHLtRyJgaEBIxRqX42ZrywfkxB7iQQG1APL4au4gDxnxUNOGcH33ducpp5uduIOWe+1nNg8baw3drLcXtvDOIjl3CZ1qy0sxG2aaUzPMcTYw03Di8Ea4XzF7GPXcbJNHUfIx7pwxfsHzdVo9ZPWip0HTR21XImu2dNl0zEUTOUpyHKICACGR/RwKvMtbq2vbaO9spGTWczGvjkY4PY9jwHNexzSWua5pBa4EggggkFfLha6YRMImEUvUD5M5+preys8lLH3I+29YLpZ/vG313dLfRXjfj7UqznKxYBEwiYRMIoOuH7RyP6p7C1yHuv0h3oeoF39fsTv7MfbP9ov6V51YzlOsqSYRMImEW5Lw77bpamcdOZEhBRctL8nUuOu3LS8kZ2IZq0ytasqb3XcajXWQi6MrLhseYuRgk0zFL2m0SZBQqaZkzuZjHOgbaXNATddU7j4A2rRTzS7mNfMFPCa44O+Fp/cvUm8e3FplZ7e32PdrHE2rI4JXi8ucpdMyEhuH+TSL3uhsx2ZwJpJdiVjnva9sFquHe5Z3fupoyoK6T4da4Q3hv2fpCzWJ4r1F5S7BC6Q48bA3W/eTtGLMQ8ZapSJsgw7do5XX6xpXyxkwE5+mVllcSXMXVBluzrHn/AIppB6tjnmo4A0q2niqfGuBu8Ztvi9ptfz6ij1PuNmZdL6SgvQ6XVF2y8t5s1qCww0bIL4wzSWsUtt2ySWNjP8oMEbXnlbVab958oLfyWYUqqP8AT2hqa4rbpGPrX7k9PRVGsDxs4M4QYVXvodV07ewpH0ioq2j0ygkDtYTlL2zD1hLi6fchrSyNtOjkYG9PnDisj21uxundlLvJ5+01HqvJQ3sZkuffrLy31uxzeV0l1yzBrGTFkbWyXDiXGJga53K3h0o6Fs0i4R4a1t1AcnKrKUbW/GjXFogpGl+IHQqsxs1QiazCWJCaiasWA0E/hkpFFQjl9MtVoxy3KPp6irMo5uu3kmL7djRK1rWxtIInAqKA8AQynmkU8fBYWN18JZwybkZqC70Pf2OUzWpMjazx3mgb+6fbXctzNbuhlujPno5jGWujgs5WXMchHZGMuSsx3NF2NlpnnDdzI7enIeY1hyT1ayrbqa5jWh2hYrNBS7KGk43VmzrHLUdtSvSF+7TnoSHLEsm4KC2cIsQUHPuYzthuZX85h5ZGAfniQSOB5XEt5f74Cg8YC23ttfYa53J2v0w12nbXI22c05lH3LYdIWzHW9tPE+aKTKYy3ivXXvK3mdY3t2buaQsE8Ul0WBaR/Cc1hLXzYVmUqjXl5W7S9TaVVba/Hq0UCj0KrVB+4Yys7G7ItF7qNiILpxIxjB01YsTHeuitx7tuqJeobfw8L5ZiIxOHGg5o3BgAPTzEg8OAIHSacATRZO+/7rjH6U0hYsz79vL3BRF90MVqC2v72/urtjXxQSY61sbu3PK2OSeKWecCGIyDnmYHUO7LZMzsJSapumYmJ8V5Kp68mZCDkd/UFfXybvYZZ1+yUf2+2nsdNf2Wei6wYqibJKPjY8otSnFFoqJ0us9M+TmbbBuR6phI521q6p6T5NSB4Ojh4KrGTovG6QZjcluTkLjYJ2fzFtHPHgb9t+WY8wRvEdpaC3vI7aCW5Ba6Z09xcHrS0SXEYa+mr7xXtUT1KraDS6qc9Nlq1OYTUoG1tvXLWl60MlGWBWISmlF1ajRoCxVeySqSLZuizlfQHPpCQ9lNVLoc8TmYHxUEnaXUPkue8ObQ+LyQQTQcCQfGOhXy9wbX2K1NmXXGmW7UYRmQtiL/ABeJs8lY50y24lMIaLu+nt7q3iJkkfLa9fH1buL2SVa3QxkAsraYRMImEWTU/wDaOO/W/YXWVFr+kN9H1CsVv22P9mPuZ+zv9K8EpxyYXQKUQ3/5y2+mI+1PMi773Ue19crumfu5P1ItU/SpkviHTSwbKNZ+0wiYRMItvng+yuj4beMsva2dkk99ydfusXpP0Zk2Cs1Fsw1Nsi5XC+ryZnIOSWFmxqZIpqQqZTJhLd4mCn6U7aYwpgbcOL6m45HcniBDHEuPmigA88nwCmPD7ROw3QyW11vFgZLKDaeC7spc1zPd2m7dJlcdZ2li2Ll5TbvfdOupXFxDuy8j+T822ed+DfJOybLq2y4xTSPEmnqWKycZuN4WuL43Vcy1nV3/ALlgavYG2wUUpBh+8JutUIGTkl490umk7etiLKj+EM18ddSSNMQZA3m6uPm6tpNXuH43RzcGuJB6SK+BcVd6PZbC6Jz2EvWan3ByLLOy1JqLssuo7qlsMDh57q3dYExye97hdz21sy4iY50UMjo2DyiqHcvOS1knXuw+Nb7UXGCuV/WW0rjXoe0at0JXNbWVJWs2pzFP3sQ6jH78a+jahhEVJBugY3flIQihzgQByPvLl7i62cyEBrzxbG1pNOHg8fir4ldZ3edlMLirXD702uodc3uXzmCs7ia1ymduMjbEXNq2WNkzZI4+0Oteue23keByEucxrS4hbbOL83OQPDrjZrqXq3KWoWejROzFJ1lXaJ4g9NjXKV02tbLlXnzaT44JV2tWtu8rsu2WTXcndnQBUSJmJ2lCjNW0k7bGGJglDmh1eE4Bq4uBHVkA8D0rH5vljMXlu8ZrTWOPv9CZHB5S4xogfcX2gLyRps8VaWdwx0WojcXNq5lxFIxzI2xB/LzPa6jCtqD1rNMuR2xNj9va7qtaydR8hPV1lYOYThjMMpClA2KehauLZQ0dsgGixyncN4KHkCIuTAcyfp/UwTLjM2/fL5ZgjIJA66pBH5La8juPSAD51VYfbT4252aw+jKYCPNZtkkcFw+30i18L473mIvsn2b37x3OAWxyX13bl8YLQ/slGnlL8OmgS1h5EA3j6rymVvdcau2tem+NklTajYdfTEoV5XJuQ2BZNi1+WgKrWVIF4+aLKODNT98fugExjAmOzMaxz7kBjZi8A06shrgeipcQQBQkE8OnpWe7vjatx+I2e667v9CN0reyMdcQ6jjvLu3v4YuS4hjsLbHzxT3VyJ2QSsbGJW8g6whrRzjoq2852XraER0XW4/xS9pixn2Vxnt8a4mtbO7G7euoxVktr9habbTIyNkapDFUIuPw6IZpuHfQRcq9k4Zue4MsDeyMGQkAdzF7Sa1p+KHcvFo8ylSsOm3kOidaZN26eam2JwIltH2cGCyMORZbsY2UPF/Ja2l5JJHdTEFg7RdzOjiqBCyrSqM+JJp2ermk3pbPL+JJuunLQkfe6lZrlbtZT+sanakot93Sm3qay1tAbApxq+0duSODuUmzURVAEnJlO2VOPy1u5kFXdskjIDml7qtB/vm8tWkVI408w9Kuk7l+42JzO5sRwdvsvpnUbbmSxu7aztMlBk7u1MrKjE3j8jPYXnaHsjdGI3yS+STJA1nKX82ObZWaRMImETCL04X5zE/U2HtSWakPurfbD1Vat36vqRbx/RXqz4hyCsJk4vNhUZ7E/if+UP4Dkff/AJHo+su1J+7N/wC2v9j/APSlRpkeu1GmETCJhFsM8MJ5oeO5b6xe7tjbBYJA1woULqGtxke0dQsltO2bAq9SgZO0uXDlMWsdTUptSbTL2BIsrHgXtd4CSDiSxPZ+3x9oBI5mhoHQXFwAr5gqT5pAHQrQO/FbbrXnd9zlttjNaWlmMdfzZa5lke2aPF2thc3c8Vq1rTzSXhgbZONasbcV5eQvlhvRrHl/boff3MmSDTXGpaQ0RS+VV1bbWe6TgnG05Odb2CVplWC27EK4Tmpclgn7e0YPinOQz5mqduI9kw5VwX0kc8p5IjyCQ8xY0uqSQCXdJq5wBr0g0PSrWtcd3fT2R2l23sjqTWrbPVWT0vZuxbM1O3FxQOt4ry67Jj+UwxG3gtJZ4CGkQTNbMBzNCr7z03nYtO7D3lw5Q0/xEPVYd/DNz2+k8YqnrixfEZSoREuhZIUkZMSycBZYxpYFWaL1NRRcqQn7JigoJA0cjNJBLJYlsFAQOZsTWnx8KVp4ulcud1Ha3D7jaP0t3jZdRbhjPXMUzhaXupbvI2/VxXcsTraYyQxGe2lfbtmfC5rWF4bUOLA42j8PCXmapw0XpkrVeRkDI2Df1l2fBy9FonNWJhLFTJTXGv6wwkWN64wNokZpupMV94T0Ry9XbgKIK92BwTPlZjpJWY/q2CQOMpdUCWhHK0dMdK8QelcF98HH43Pd5BmpLC/0bd2dppK2xk8V9faMlmt7yLI39zJG+x1M6XqXCG4hPWxwsk8ss5y3natwC0DZLTfdMrRDzbjctX0rqi6ybSQu3OSox80xilSOX8a+arXKDpNu2C5RA3pkVaiPbS8AglmE1v8AJGbcLl80XLz0ETHHjOK06QPKDS7zHVcfyqrHbHlcLgtJ6kiyEennuvtTZWyjfHZaJu5IXygtjkY5tnPe2lg006m6xZhxcJIOOfH0jmRbw5L74mO2X/2JyUl3LzkbtfYNVg9IQzaq7xg5ZXYstaKNYhjdhVx6hU0YZ46Zu3x5No3Fil1OqdLsiIbTP57LPc1sprM8gM8l44kilQaEGhNRw49CzeS5F2k+5Np+099dFW8MejcVYXU+amddYSeIY+K1vrfrMfcMddGZjZooG20snXu8ljZOYBdDd7b7Q0nQnNAjUfE23VaNpREBNztyqVs1dbLLpksY9Sep1Wt3RxTIug/E50BOlJqMGMocESiQjsgGTEdyy9daxdSBfySSNBJDubkpxo1waRU/lUr4qrD9pWXQ25uq2atvXbIaZwWCuJ4YLO7tMnaW2Y61hYbq4s23kt/1UHkutmzz2w5zzOt3EPArDyn09a1eOhJeyynivbdot+qx17XRHtz1E7l6TPxb1u8ZQ2zNejrFnZXkKym2iC538SD+OMggY5nCZDJGUo723f2Tnd298Tm8Q5/4pH8NpbWgIBr0eaCucdiNxcAzeM47CwbBae1Tib8Ntb5lnlmRXsErHMfNjch75PtmTPhe9jYLvqLgPeGiJ7g8M5W82os8SYRMImETCKy+bgXlcLBr/wDJm31NH2V5lHfe5D23rFZ+/wB3J+u7qn6K8l8faaUQ5FrumJhEwiYRTzxpkdFwu4qvP8jGNjmdWVwktYpWtVlk2ePLhLQUU7la5TXwuXTYrOHtU20QYuVg6gRNfocUkxOulrWxgEzXXIJhHEgdJoKgeYCaAnwBcU712e6WT25vsTs3LZW2u7wxW8VzcvcxlpFPKyK4vGcrXc81rA988bOFXMq0SPDYpN8No5DysT4sFr1S407x5ssJVthBbFtj23TkBYtsVSra+1JHXpdSB2C5OEpANqpHVswxxkgKEeBQ7voIBm4JLp0WZfHyROa2XmqWAuAYAeDukcrW8PFRYqMFs9YX/cEsNfQ6j1hZZO/xHZRjrTMT2+Kurq/y0li0T49o6qd11JcgXAdUzknnrUqonKvlNdtSJUWLPpfhjYTcn+NWrt73WUS4rVKDlwkttNH1jcRj5+Sck1bE/r8229Mbybnoqd52V+6IoXqNHe3MsPK0sgJlia4kRNBHOK0rx4jx+PjRXC7C7E6Y3Bkyt83Uu5Vm3Q2tcng7KI6ou54urxT2W7ZGMMEYt47iF3VSW0dWiGsXO5jqD3fCqk5en6l5MEf1XejZjtGW0unTbdrah8onUXIK68fbKWtrEt+40MULNEOGH3IyKdAsgiRx3opqFOQFCh94l8kdvMGCSryyhaJKeTzVFY6EdI4VUV387HH6j3A0S60v9LPusFb5k3lpkb7TDZYxkGY0Wj+wake62mbJ2eYteYHmPlD2Oa7kK3WKQFlv9C45VmCkt1xUrMsdrGTfzt48Q3XyoHY2xysVG+WpS6V22sna5EgTii3l6KyqRyEiejISlyeIupYYGMLxI4PqSbgDpNKnmBHmc58VOFFjOZlsLpLVess3lIdM3FhbS4oFkFlt/kBR9o1vNY2os7i0expPNdHCQ8jXNc7IVuQSue3n4wjNk+J9e2k9Qt1TVes05qqKeU+mViVjdv2JjB6ppFYmC0WJuEJJOJN64koB16A6Vau275JMFyGVTOVQdtZMibLOq2QguYC2hDjRrQaVBNTTgSDXgeNVl77pd3faL7jmKuMVltM22YsbXKSsu7y5ikxFu+fK3tzD26W0mjbExsc8XXxNlikgc4xOax7Swb8EGe0tJ62Sta6XiZbgum3KtM1pKgrXLVN8s+l49+l5LsaRhqfEa9hb4gYhCNEXKs0q1McRM3IYqnZ3FSe1hEhF++WRpHLzc/IP4VQ2gd4hxI41AKxOS3OhdzdaOwMTtktO6a09fw3Jv22eUsbbMyRn9CEc13LkJrFwLjK+Ntm2UNAEzmllYUuurtiTHH6Qu0nP+LzaY2ZSsdT2Npd1ftLMtjR0C5j3LZ06TrrvWSKV4r05FrGJ/wCQ3D54TveyduUSLClTyQSPtOtPvi5pqHML6GnnFvlNI8VfDULk3TOutH47dyHTFlad3mxvbZ1vd47MtsMy/HSTtka5rTcMyRNlcQSgH/LY4YTy8zZXB0fWcoNoYtouzWKNZR87Es46dl2LSKtCaaNmjGzSQcN0I+xJJN2aSU6zSTBN2UqSRSuCnACFDyBtAihI6Fn0wV1PfYSzvbma1uLma1ie+W1JNtI58bXOktyXPJgeSXREvcTGWkud0nws/FKphEwiYRWEhfk0T9MYeypZOQ+5N9qPUXmw9+r67u8f0qas+Psgk18mlvpj/wBlVxN7k72p9RO4r9d3Zz6VNJ/H2PVe8g16TyYRMImEX1sCsTPmRZRV2hGmdtyyKzBBF0+RYisQHarJq4cs27l2m37QppnWSIc4ABjlARMBU92bptrK6xbG69EburbI4tYX0PIHua17msLqBzmscQKkNceB3v8AKrkbrDUej+EpuNWndW7A0rL03eUDUIHkXqqE2Qd29qG2kqjKbEQg5Q5UYq1bBlYNZ+4WAhHBkXREjppiXuiT95cwwQ27rVjTB1bwBI0O/LoXUPAF3LU08HDoCxVbDbNa43C3Q3ObvVqPO4jcy3yWEnu59PZSbHBjLvFG7ix7p4hWW1sIp2QRsqYw+J0jXvDud0w8wN/2/UdYebrh9U8SJWZ1PvCm8TIWJsXGasSs7UzVHjhRdgzRoK6KTpH8LFQFvnpOMYw7dskgwakKUinkMUda8uZY4+0ckFWPEXKYmmhaxpNCegA1AbThTpXHXd22k07uDnI9s8jn9wYMbn9L3mq5pbfUlzFBd9r1FfWEPX2YgMc0s9pBbXM95JI588riXM4gjXh4f1/l53nxW99K6wkWVehm+yJK3Q/HjT1xka9Rk7XqK70eAPFUfVETMTFeiXNhlmyYGakKKaih1AOUQEwR+Mld74i4LTQB5IY08KtIFA3iBUjo6FeD3t9JY7F90692ojzkMuYuX46O0m1Bl7OO4vTa5ayvZxLe5WWGG4lbbxSOIlJDmtawtIIB6AaDJSTrTG8uh+SffhIalRRPOOfE0b2VMXNimkjGqri6zwbRbtuvQJM9TWRblQ7AzIi2BDpuKJ9x2SYnrOYFlP0ivSa0qebz+X/heBYkdWWVlBuTpao0X1XU5UuEDdtnWx5beE0um2UHvY53T2YZVj5DJzDGgT9bXVf408RN1en8RqLNI22RkqaO8XknapaT25eK/JJXl/rmSr6EXtDbctZpuxvys4Nz3zJSTWXjU0yEFJFEyBRis71jI4IZamRvOSfLIIdy0o55JPRxFeHmK/D7NHIYzOai3C1VjHY+GyyXvIyK1iixNlcRmxjyMdw6XGYmK2ht4y+ePkmbbMZcOc5wkllbKRdnhBrGeo3Hqp7Lim3iT1mm60ZRs1WdBu7Tr4sXtmxSL9ewTUdVdcwNFjLiw17P2d+5cg9lJCLRctnHbBdVMxzZWY6F8do24pehjA0hgdweTxIawNryE8STQUPSTVWyd5/XGK1Tu/kNFX79lr7Umblkhuc8y1v+txVvHG23hkusjPfSWcmQgtmRx9Ta290+OSPlMUbw1qlCv1/cG65Ha1nXlfFf0/YGhJC517X0zdtH0ipWNN2/XcOadr6YX12/rkAvDJKETZNJh81Kqj2A9KOJVlCazGz3TpHn3wjk/GDS/laePEAloAp4AfAtjZfL7d7Z2eAwcVvsFqLESGOzuL+Gyzd7d25ZG1rby/hbkI7idsxBdNLZwSlj+b8w0OjY7mR5mQDeB37bgLV+RFWkpg4z9kQ5QjCK7Ul7PJv5A89YHLyuwkDDyMHKP0zCzcIJHTVAphKocvZ6bUvG8tw4csrSTU9Z+PU8STwHSfMWbzu3ZaXLbTY8m+0df2VsOot3aZ64YuK2jZGIIGsuJp5o54oyBNG97XNJaHMa6tar5TLndMImETCKXqB8mc/U1vZWeSlj7kfbesF0s/3jb67ulvorxvx9qVZzlYsAiYRMImEUHXD9o5H9U9ha5D3X6Q70PUC7+v2J39mPtn+0X9K86sZynWVJMImETCK7/CW76+p5uVsZsO6RlFZbJ4g7H1nX5aVbSL1JezWO9auctGSDKKavHzxyWMinbkEkyCdQjYxS9TCUBrbOWONs4kNOeEtHT0lzD4AfACrYO85pjV2ohoG+0fjJ8rc4XcTHZK4iidGwttrexybXvc+VzGMaZZYo+Zxo10jSfJBItXrDlLxx1Jy54t1yr2mUS4scZartup/vOeVeaUl7teNwa7uELfdtu6oybvLC3jZuzysa3asQSVctoiNRDoIh2C1dvd20F7EGk9jja4c1OJL2kOfy9IqSKDieVo8K4F1xsVvNuD3e9d5nO2EDt99b3+Juvexl1CIrKyxGQtJrDEsunuZbukhtoriSWcubHJd3MhqAeY1e29XuItH1zqCh6e3Y12rslfbtktF+3zF642fQG9Iob+LpUPBVz7fs7SPlp8YiSjXkwkdmiu4SOKpE1CCsBDUlwy0jiZHC8SS8zi5wDgAKNAFHDjx5jUDw0XOe3mX7wuqNZai1XuLpl+B0WzT1ta2GClyOMv3Xt8yW9mnuO0Wz5IoOujkhtHNlfHG8CNz2OEfM3Zn/ALUWub0yso8c+VVf1JfNS8gqK619aeVOxt1yFc2rpCvaXUpFmfykNYoq/wAa9dbD2KkaVXjVYxi4apCRwb0Z52TnkxcwP5jbzckrJW8rpC8hzA2hNKOFXO8qhaKA08Csk/1F6y0rc2Q3k0Fd6h0pqDSN82/tdL47DR3GLzVxmRe20cU1vLYSMbj8eRasuG3M0cruaFvXW1Wt+R5vnQ+uNlt9k7A5OM1p3a9je1Y8Xxd3RvjZFK48V8aKR2ru+Ab22vwbsLKhthBEqVZWbSMV9vPF2yLZwCSgG+OttopxNJNVzzT82ZKR8PxwXcpqHceXiOUkU6FUW21O6us9Ev0XpHQ8jcVgLNl0JdT4bB4691BcduLBhZ3WlxOzszsU55dkmSW9174QxTSTQ9YwjVRx6btbVbrrV7hzBd6B1e3dhfbTZV3Wyna2wX1elwRjJKv0uuJ95Zr4X4id0zI/UQeIkUVOmJjFULkVbtEjjHJKIouBJPMa06KBo4kV4Vp4eIV+u780+B09jM7p3bqPVuuXx9gtbZrcawWDLiGskdxeXBpbWP5sRTGBr4XlrGvDWuY5XIu27K7yt2TW6FROUjnjFoXQFDrVFpk/ty53eMt212hJRwrcL5LK1VpLJLXifeKi5Bs6MmkRv3f4kzd6mWrmmZdytijkEVtGwNaX81Tx4k8od5TiSacBSgB4K3DTO2WY2E0Xe6s1VoRmuN19W5W5vryDE2dlLaYp5iaLOxiF0+IiygYOrMkQc90nPweOR5rPzw5OPN28j+QElre/XFfR92ukGvHVok5OsKjZ06HWK/TYSzu6oo6RYOVVkq2Vdms6bA7TROTtAQ/UoaWQu+03Ur4i7qHP4DiAeUcoJHnDhXiFzZ3VNkLfbHZnSNlrPE45u6GMxk7ZLkwQSXdsb65uLya2ZdBpkaGm5LJmRSdU54dy8zaE0VyhV06YRMImEWTU/wDaOO/W/YXWVFr+kN9H1CsVv22P9mPuZ+zv9K8EpxyYXQKUQ3/5y2+mI+1PMi773Ue19crumfu5P1ItU/SpkviHTSwbKNZ+0wiYRMIrn+H1sGl6s5Y69vGwbCxq1Tiq1uZpIzkl3wM2rmwaO2RW4ZFT0dJdXtyE5LtmyfQo/pFi9egdRCtx8scF0JJTRga8V89jgOjzSFbZ3utIal13sDmNL6Rs5b/P3F7h3xwR053Nt83jriYjmLRSOCKSR1T+Kw0qeCmuH3toTR0xwx1prK0v7nr/AFpv7VfJ7kXs4K1MRKlnv8bMQBvgVar8oilN/AdVUlJ6ybgdMpnz966VIQvb/FqxXMFu+BkZLo2SNkeaUq4EcADxowVAJ6SXHoIXGWR2r3X3Qx25Wttb2EWN1bm9JZTTWnsZ2mGUW1hJDP8An7m4iJh6/KXphmko4iCCGCNzjy8Pn5SrcKyVTkHbdb7kZ7+3FvDfsdfKYZlrLZ+vFNO01eX2HYrW2dyVyjoaOsRrANlZMVkkwWKZRqkuVIgpgcv7eCyDZHxSCWaSWoo1zeVvlE1qACSS3x9C1tiY+8u7P6Q0/rPTcmktudL6SksbwPyWMyAy942LH29q5kdnJNJbi37NNMxzuQhsskRkcHlptvTeQ+m5zXth0vrDlQ8o2xqNpLjibWO9N1bA3jDUCe27XdjqXTcpgr8q2tETFQcbVpBOtsI93AKJSDZsZISrMykUJUxT2xjMLJSyRsTOVzi/l5w6r+ArQAHkALaHlr4Vb5qTZ/cfF6vs9ytcaDjymjcpqfUQyeDw1hhJr+DE3GOFnh/8oidayyzyXUbsjPcRX7X28kgkBiuXOY7JrlvvWNftMPyA3ZyJ1jfLLGLa+rLrU3Eree/HVcvsjLz76O2ZtCTrT+ApLTWMhV6IsSSh20O5IxXsDMDLB2nCaYfsksIkF1PKx7xy1bGZBzGp5ncQ3kNKEcpA5hWlCQoTTe0+uMvgrnaTbLR2cxWFnbkLluV1XhME24sI4oGSY3GR3LJ71+Tjur4Ot7uS7jdOywmpHwhe86xUpJK/cqNrw0JzEk6jr7Z9kuQz/IK9PL7Wy36lJu3Nka/esFARjKSkpOVTZJAlGOmzRkpIETTT7kBRDIzhJdPaJaRvc6r3c3lNrWrgASeagNKdNPPV8D7J+k9h8BksntzBkNX4Oys+owFiywuOwXpY23d2KeeV8cccRe7muYpJZm27nvf1lJCrUbE3vUNql1RxM0bylm9d6t1Wwt9qn+S+6p2+1RxuTZM6qzUeOHTSGQmLLX65HxqYtIRo6SBTsFMC5QOBFD1M00cgjsreSkDOYl7+Yczj0mjQ4gUADRTz+JXA+j9qtRaCdn+8BujoS1zGu89LaWsGm8NBYXTcPjoA8Ma18zoba4uJJD1t7LE7lqQYiWlzGxFzu5G/HdhVeiaW3ZbbXRKNxn1Bx8vFsr9js8ZXdwvqVHyUhZJGUbKrsFrVDvJ6wLiIyCJyqrgocoGTEhzfN/ch8jWQPJjbCyMkVAdyip4GhI5iaV89ch91XZr3q0hfaq3L0xj7DVWU1tls/ZWtxb20txiGXskcdvHE4NkbazMgt46C3eCyMsa4h4c0a38jleamETCJhF6cL85ifqbD2pLNSH3Vvth6qtW79X1It4/or1Z8Q5BWEycXmwqM9ifxP/KH8ByPv/yPR9ZdqT92b/21/sf/AKUqNMj12o0wiYRMIp64rWaBpXJ/jhcrVJt4Sr1LfWn7NZJl52waREDA7CrsrMSboUiKKA3YR7RRU/ZKY3ZIPQBHyZU2UjIryKWQ0Y2VpJ8QDgSuKN+cJltTbG6z03gYH3WcyGlMvbW8LKc8s8+PuIoYm1IHNJI9rW1IFSKkK1nIvbejaxrfb9P0ncTbGv3KPc1hv25bWnBS0PCU/XdZ2FP2HX2rIBSYRbLTLuWn1EJ2TkECA2UBs0SJ2wIBg1ppoWxOZCeaSV5LjSlGgnlaK8TU0c48BwaPAVwJs5t9ulnNZ6d1FubjhhtJ6F03b2GHtTPFNNd5C5x8Fvf5ScQucIWRQB9jbW7yZG9ZcSO5eblM68vL7wO2hc+WHJKL3Untm+booVbh9UabNqralUmNdXgiutGC1wf3eWjYurunFdiqm9AyaTgUnKDtRHsrlP0NWX8lhPJNdtkD5JAOVnK4Fpq2pJ/F4AOHSa1XFnd50p3rNDab0BsvfaZdp/SmmstczZXMDKYu6hyFkRkni0jsopJblrbiW7ho50YfG+JktYi2o9PjZv3QkRqOi6BX37aa9b7Bx15DryGxbVfd40/Wusd63L4U20pR0GEO7NFRsLQG8GvJOpRtGPWhnr4fRjmUVWQN8Ws1qIm275HAmOSpJeGtefxBQeBtOYmhqXeYqHenabdjIbhZXdqLSdheadtNY6fbHjrWwwl5kslg7PrXZq9dJMzrZJr907LeK2kuYZRDAOua1kccrZQve4Yl3WoLY+9+WnHy82rTNNmXraF40bn3cxlORtvjFYMmt6df9bMqHSqbDQztQjtCdm4kzR6s3WSMYE0kDiOpNIx7RLcTxOexp4MMlXkU5Q4crWjwguFCQfGKrY2ldushb5q60btVt/q/F4HUmShY6bUmGwr4tO2kgnORvLDIvvr28mmYDE+xsroSwskY8AvklaBr43lsyK2LzIVt2l+TV1gatsFKqQMRtjYdg2BX5nWNbsVbjoOXoNtsbJmraH9dpCSy0Uu8TK7TkGSffOFnAqLuD0E8gkvC+CRwY6gDnE1aC0Ahx4khoJaTxqB4aq7za7RN/o7u4N09uVojGXedxDrqebFY+3sLiHJ3NvcyTxX9pbveLWO4vSGXTIXGJ1vM7q4YoQyKFthrfvDXlZ1zTOFGh+UlgmC2vYDK0bm5a3Z5eqlSo5avwzmLq9Co7AoyNtjdcxDsoquHYI/5wuch0gUQOJU9aSWGOAWNtJUOeC+Q8zW8BQNAoXcrakk0qT4AAuINO7X6vzessl3md1tC2lubDEPtcPpSyZY3d7ILiZstzf3sn5u0kyMrCGRxF/5uMOa/klaC/DOXW/zUnX/FPTWmeTE9se36eoG3Edm7g1vb7rHx9hkty3hKdd1ZvY3owlgm4+Ogohs2XTVJ6OLfuUxATlUIRdXAZFDbwSczo2O5nN5gCXuJIBIBIpQHhQ/hW5O73tINT6t17uRuTom0w2ndRZbEnG4jI2llJJbx4eyMDLp1uzrreGSSeaSRjmHrBJ1jxRpY52rXIxX1phEwiYRMIrL5uBeVwsGv/wAmbfU0fZXmUd97kPbesVn7/dyfru6p+ivJfH2mlEORa7piYRMImETCLdBy75A8bou98yNvah2IjtDcnJSQW1JWSRcHMta3rTTL2rVNlsG0Gm5Rs0Zz1i2I1YnhmpGoD6CyO6FQ3aUEmTF5c2xmnngdzSyuLRwIDWcKmpHEu/FAHQ3mJPELGt3eto9577Su3G3m4eHdg9t9FQjLXJlnhdc5LMMurt+Ptupic98Fvj3PF5K6Ujr5hAGNowOX5Wa+8DtmROiNs7M3UnPzOnuDNZ0ZJ8aHGqtqFlrPs+n6ptdUh1G+xmEa1qUc2a22dbvmrkr1MEjs01BWKPUofcslhO2OeSQFzLcM6vldUuawtHlDhTmoa16B0LUwmlO9ZonIaq2/0Tpl1pjdR7pXObj1I3KYvqrbGXeUtbqYOx0kjruRzrSCSGWMwu5mzPYI3cCfH4F8huO+napp+n7O2heiur3v2ZkdnRbW07grFG1Pq2MoNgg4QjplVpWJgZ2Q2JeZ5q6eroEeEaso4hnRUlEUVM0rCe1hDGTufR0vlULgGsDafk0qXE8aVoG+apHvXbP7w7jZ7UWo9D4LFGDFaShjxkrrXEXN9lcpLf288xa+6ilngjx9jBLFCx5hdLNcOEBkZJIxT03t6M/rak0XkZz144yMDrJy5frbS0Ju7eDPe0xRYqAmHCVFc1RnrKv1jZ81Iz5GBUZKTP8AFkmwOAKqs4X7wNdxbJE2O4uYi1n5TDJz0ofJpyBruNKE8Rx40K4pm07LidaZPVWze1Gs4ctnGNY3F53C4R+DhvpZ4Wm+bdPyVxc4yGOAzl9vbDsrpOqLmRwxci188r+QMHtHY2itrah2xfq5Jx2uaum8rUlYNgqK8b78ylX5rDD0O6PfTLNIVNeRVGYYuWrl89bpuRbgYpUUGyMddTtkkjlhc4EMHAlx5HAng0kk0r5TePCtPArutgto8poXRuqtBbh4DE3tlNmbksuY7fHgaisHxM7PNfWbOS2jumxgWk8cscEMjoxMQTLLPJYiX3hr/jdqG56L1jylsG892b+kq5XNkbsZvryy1NpGmDYE5yxpUR/NGLPWqesj913knKtm5CmbEOJOw4KJFKh00Vpbvghk6yeWgc4cwa0A1IFQC4uPSeXo4AVJXD2O2v1dvRuHjd0tcaEtNLbZaShuLjHYV7LJ+VzV52cwW5vo4QYLWC2jby21rJISJC3m5oSHM8rfG4mukuKmsdMa/wCWym6d1/7Rth3pKbL1Vcb+YlGg2eukdfV6BZW+bbwE+0euzv3jgqLfoBO2uJ+hTpCdLO2CzZbxSh8/XF/M3mHL5Ia0VcGmvSeA4fgVftVtzPubv1nNydXbfN01tl+ptvhIsblLOwrezvyBv7id9pC6eB7GCOGMvk6eWINqWv5dUD9++lXz2UlHruSk5J25fyMi/crPHz988WO4dvXrtwdRw6dunChjqKHMY5zmExhEREciySTU9Kv6tLS1sLWKxsYo4bKGNscccbQxkbGANYxjGgNaxrQGta0ANAAAAC+TCqEwiYRMIrCQvyaJ+mMPZUsnIfcm+1HqLzYe/V9d3eP6VNWfH2QSa+TS30x/7Krib3J3tT6idxX67uzn0qaT+Pseq95Br0nkwiYRMImEW3vX21OKbPR3CGwbZvaU3YeK9K37bi6PioWZfyV+2VL7+l7Pramz0wk0+C1yvOElWsrIKOFTekRxDIkIYxzAWWbPadTbmU1dCxx5KHynGQlrSegA1q48eHAcSseOr9B793G6G5+I0BinW2H15k8DaHNyzQxx2GNhwMVtkbyCEv664uGkS2sDY2jq7gtkc4BrScZoG0dBcgeLVu1ZyO5HpaQ2ROc1LZybmpl3qvYmwGtqj7nruIrkwSOGjRMqlFySk8V2r/nRgApQJ0KcDCII5be5sjBcy9XN15fUtc6vM0A/ig8aivgU3q3Qu7O0e+2P13s1ox2p9GWu2drpqGFmUx9g61ks8hNcQmTtssRljEHVM/NCpPNUtI44/Tt28adcb95jbW13M3Kia/XqV+huNurqZL7QpwXuxWdyFfq8hLzFalI6Qr9WqZF1rGDGQeszpGBBJsBF0SIhpNmto7ieWLmbHRwjALhWpo2p6aNHlkE8SAFL6j2x3r1ltNtxoLWNtjcrq5mQsJtR5O8hxl52G3tm9ouY4YbmKSO4urotZjzNBDK1wMr5i6KV0i2C2rc8VYJrbhNZcx+LC/HvcdVqUlTqVtvd3ICkbi1VfENY1mGkbKxtUFQJq4QKgXpi7evIQ8q4j3yKpiHTbnXWHJGSWN/O2CeIWz2igeZOZruUAmoaT+NU05i0jhTxWi4Hba/xGM087W+3Gu27vacv7uO8vcThcBe4jKWLsnczR2z7We/htJx2F8UMN621jnge1rmvmbFGFRnlpuHRkxouZ0dq7fezrlJ6w3DEJpOrDO3uy1rkdV16so5ebBkFppE0NCWHW95fyUYx7gkc2lYRRqt3TlRJE6EfdSW/UdRDI9xbJ4S6jxQ+VQ8AWmrRwFWkeEFXSd37brdLHbp226GutJ4PG2Oc05KS23gsba507dNug1lhGIXddNb5Gxjt7mfnNxJa3rZ4ueFkkjZfT417s1/x7hKxym2rygt269vR1dXa6q4wwUzsOQRj5SuN5Kr04Nz2iwC0h4arU0ygOmUS07/tIgkdqKqXaTH9tZorblvZZC+4aPJjHN4ODedxoA1vSGtJrw6BVUO9O2Wrt3snfbEaC0Nj9M7eTXjXZTU08OPjMkVw6O5vPee1t+eaa6vKdVNdy9XR/WNnDJKPHuas2xE670ZyU3Js3l9EbMvu/OOt21tU9GxVgvUrb63eNszcQSZkp6Il45CswgVuPaOh75s5OmVqscEh7ZkiG/beZsME00sodLLEWBvlF1XOFSatDRwBPSa14cVGa70BkNYbpaK230Rt3cYTSek9Y2WRus3Lb2MVpc2WKhlMMcE0UjrmbtEj4vIkjDjKxpf5LXuGqW33m7bBlEZu+3C03eabxzKIby9vsEtZZRCJjiGTj4tF/Mu3rtKOYJnEqKBTgkkAiBSh1yNe98h5nkudSnE14Do/Ar9tPaW0zpGxdjNKY6wxeNfM+Z0VpbxW0TpZDWSUxwsYwyPIBe8jmcRVxKxbPlTqYRMImEUvUD5M5+preys8lLH3I+29YLpZ/vG313dLfRXjfj7UqznKxYBEwiYRMIoOuH7RyP6p7C1yHuv0h3oeoF39fsTv7MfbP9ov6V51YzlOsqSYRMImETCJhEwisXxT0tTuQ+8qZpq57T/c83vjlWEgLirUk7iyG2LkD4BAvo09qqItiWJ0AtEHBXCgg8VRTFMSqGUTqrK3jurltvI/qw7gDSvHwDpHT0eeuHN+9y9R7PbXZLcjTeC/WObEsE09mLs2b+yNP5+dkgtbvmNu386+MxtrC2R4fzMDHyXzq4o07hvttnpyB3X++WzNIBpM3ZRGhJ0hrTnct2XMJAq9LvcVJGVdxBivViiDcrdu4b9BUMqYEtbJWMePn7O2TrH0qfJpSvQOk8acfwLZPdY381H3j9vpNx8rpn9W8JJdvhsgb43rrxkVWzTj/IrMRxMlrCw/nDJJHNUMDGl9Kcj1cymETCJhEwiYRMIsmp/7Rx3637C6yotf0hvo+oVit+2x/sx9zP2d/pXglOOTC6BSiG//ADlt9MR9qeZF33uo9r65XdM/dyfqRap+lTJfEOmlg2Uaz9phEwiYRMImETCKQdUVioXXZFKqF9vBtaVGzWGPhJu//ASWZGotpJUGqc49hDzlcB5GMnSqZnYg8SMi27xUoKGICZ9WBkckzY5XckZNC6laebSo9Hito6+zmodM6LyeodKYsZvUNlZyTwWHXm2N26McxgZMILjkle0OEQ6lwfJyMJYHF7bv+IFwPpnBh7Qa2hyFLt293Zo8nV6s21mnTSV2oIGM0ZWGQkw2Lbjqmm5VNRBmgVsUFStXBxVL3ZCqyOUxkeNLWCXrJXcactKDx15j0no84q2Duj96vUveltstmpdIHT2lcZIyBt07JG8NxduAe+3ji977QDqYi18zzIS0ywtDHc7nM1v5Eq81MImETCJhEwiYRenC/OYn6mw9qSzUh91b7YeqrVu/V9SLeP6K9WfEOQVhMnF5sKjPYn8T/wAofwHI+/8AyPR9ZdqT92b/ANtf7H/6UqNMj12o0wiYRMImETCJhF6ESjGOJWMbzT53Fwy8gyRlpNhHpy76OjFXKZH75nFKv4pKTdtGpjqJtzOmxVjlAgqpgbth+toXAONG14+H0uHqqkyEl7DYTy4yKOfJNheYo3yGJkkgaTGx8ojlMTHuo10gikLAS4RvpynaDzQ8O7WHEnSuvttxnK9ptx5ttaNcaxq0VqZOtp2qtOo5tMyNuCdNtKwnZwcZFvmwicGSx1HLxul0IBzqJzOQxUNjbsnbP1hk/FAbSo6a15jwAp4PCFY13a++HrjvBbmZfb6+0DJp62082RuTupcqbk2ty2R0Mdp1AxluHzyysl4dcwNjhmkq4tax+q7IVX4JhEwiYRMImETCJhFZfNwLyuFg1/8Akzb6mj7K8yjvvch7b1is/f7uT9d3VP0V5L4+00ohyLXdMTCJhEwiYRMImETCLbDtHw6NO684ZQvMmP5e/c8BcImHLRqUXSqEVL2G8Sx1my9DWkg3DJpRslXXrB8WUWK3cA2SjnByJqiUhDzc2Jt4seMgJ6tcBQclCSfyfxj0ca+cVYHoXvj7jaw7yVz3cLvbzsOWx1xN2699+XSxW9lEA5t82P3oiMkdwySA2zDJH1jriFrnxguc3U9kIr/EwiYRMImETCJhEwisJC/Jon6Yw9lSych9yb7UeovNh79X13d4/pU1Z8fZBJr5NLfTH/squJvcne1PqJ3Ffru7OfSppP4+x6r3kGvSeTCJhEwiYRMImETCLajwv8O7WHLbSuwdtyfK9pqJ5qRaScbOq0rqZOyJ1WtNY5zMx9uGdJtKvHeQcnFsXI9sWSJ03DNwl0OBCKKTWPxUN9bvndP1Zj/GBbWg6a15hwpXweAqw/vKd8PXHd93MxG31joGTUNtqFsbcZdRZU2xurl0jYZLTqDjLgMnilfHw654dHNDJVpc5jNX0sjGN5WTbwr53KQyEg9RiZN/HpxD6RjEnKhGD55FJP5VKMdu2pSKKNyunJUTmEgKqAXtjDOoHENNW14Ho9Lir5cfJezWEEuTijgyToWGWNkhlZHIWgyMZKY4jKxjqtbIYoy8AOMbK8o8/PxVaYRMImETCJhEwil6gfJnP1Nb2VnkpY+5H23rBdLP942+u7pb6K8b8falWc5WLAImETCJhFB1w/aOR/VPYWuQ91+kO9D1Au/r9id/Zj7Z/tF/SvOrGcp1lSTCJhEwiYRMImEX7tXTli5bvWThdo8Zroumjtqqog5auW6hVUHDddIxFUV0VSAYhyiBimABAeuASDUdK0p4ILqB9tcsbJbSMLXscA5rmuFHNc01DmuBIIIIINCveuNxtGwbVYbxdZt/ZLba5Z7O2GelFe+fykrIrncO3bg4AUgCooceyQhSpplACkKUoAAfckj5XmSQkyONST4SorTmnMHpDA2el9M2sVlp+wt2QW8EQ5WRRRtDWMaOJ4AcSSXONXOJcSTjWfCmkwiYRMImETCJhFk1P/aOO/W/YXWVFr+kN9H1CsVv22P9mPuZ+zv9K8EpxyYXQKUQ3/5y2+mI+1PMi773Ue19crumfu5P1ItU/SpkviHTSwbKNZ+0wiYRMImETCJhEwiyy5Xq47DlWs5eLJLWmYZQNerDWRmXajx0hA1SGZV+vxiaig9QbxsRHpJF/wCMcSic4mUOc5vuSWSV3NIS5wAHHxAUA/AoDTeldOaPsH4vS9lb2OOlu7i5dHCwMa6e6mfcXEpA/Kklke4+AVDWhrGtaMTz4U+mETCJhEwiYRMIvThfnMT9TYe1JZqQ+6t9sPVVq3fq+pFvH9FerPiHIKwmTi82FRnsT+J/5Q/gOR9/+R6PrLtSfuzf+2v9j/8ASlRpkeu1GmETCJhEwiYRMImEWWWG9XG2xVPg7LZJabh9fwK9YpcdIu1HDWuQLmZk7AtGRiZh6It1JeYcK+XqYAMUgD3aaZCfb5ZJGta8ktYKDzBWtPwlQGH0rpzT9/kcphLK3tcjl7ttzeSRsDXXE7YYrdsshHS4RQxt8A4F1Od73OxPPhT6YRMImETCJhEwiYRWXzcC8rhYNf8A5M2+po+yvMo773Ie29YrP3+7k/Xd1T9FeS+PtNKIci13TEwiYRMImETCJhEwiyx5erjIUuE109sks6o1bnpyzwVXWdqHh4uesrSIZTkm0aiPZI4ftoJsU35Sl7BhIBTKqif7MshjERJ6sEkDwAmlT6SgLfSunLTUt1rG2srdmqL20gtp7oMAmlgtnyvgie7wtjdPIR4TUBxIYwNxPPhT6YRMImETCJhEwiYRWEhfk0T9MYeypZOQ+5N9qPUXmw9+r67u8f0qas+Psgk18mlvpj/2VXE3uTvan1E7iv13dnPpU0n8fY9V7yDXpPJhEwiYRMImETCJhFllevVxqUVcIOtWSWhIfYEChWLpHRztRu1scC2mYywIxkmmUeizdOXh26vk6GECmII92ooQ/wBslkja5rCQ14ofNFa0/CFAZjSunNQX+Oymbsre6yOIu3XNnJIwOdbzuhlt3Sxk9DjFNI3wjiHU52Mc3E8+FPphEwiYRMImETCJhFL1A+TOfqa3srPJSx9yPtvWC6Wf7xt9d3S30V434+1Ks5ysWARMImETCKDrh+0cj+qewtch7r9Id6HqBd/X7E7+zH2z/aL+ledWM5TrKkmETCJhEwiYRMImETCJhEwiYRMImETCJhFk1P8A2jjv1v2F1lRa/pDfR9QrFb9tj/Zj7mfs7/SvBKccmF0ClEN/+ctvpiPtTzIu+91HtfXK7pn7uT9SLVP0qZL4h00sGyjWftMImETCJhEwiYRMImETCJhEwiYRMImETCL04X5zE/U2HtSWakPurfbD1Vat36vqRbx/RXqz4hyCsJk4vNhUZ7E/if8AlD+A5H3/AOR6PrLtSfuzf+2v9j/9KVGmR67UaYRMImETCJhEwiYRMImETCJhEwiYRMImETCKy+bgXlcLBr/8mbfU0fZXmUd97kPbesVn7/dyfru6p+ivJfH2mlEORa7piYRMImETCJhEwiYRMImETCJhEwiYRMImETCKwkL8mifpjD2VLJyH3JvtR6i82Hv1fXd3j+lTVnx9kEmvk0t9Mf8AsquJvcne1PqJ3Ffru7OfSppP4+x6r3kGvSeTCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRS9QPkzn6mt7KzyUsfcj7b1guln+8bfXd0t9FeN+PtSrOcrFgETCJhEwig64ftHI/qnsLXIe6/SHeh6gXf1+xO/sx9s/wBov6V51YzlOsqSYRMImETCJhEwiYRMImETCJhEwiYRMImEWTU/9o479b9hdZUWv6Q30fUKxW/bY/2Y+5n7O/0rwSnHJhdApRDf/nLb6Yj7U8yLvvdR7X1yu6Z+7k/Ui1T9KmS+IdNLBso1n7TCJhEwiYRMImETCJhEwiYRMImETCJhEwi9OF+cxP1Nh7UlmpD7q32w9VWrd+r6kW8f0V6s+IcgrCZOLzYVGexP4n/lD+A5H3/5Ho+su1J+7N/7a/2P/wBKVGmR67UaYRMImETCJhEwiYRMImETCJhEwiYRMImETCKy+bgXlcLBr/8AJm31NH2V5lHfe5D23rFZ+/3cn67uqforyXx9ppRDkWu6YmETCJhEwiYRMImETCJhEwiYRMImETCJhEwisJC/Jon6Yw9lSych9yb7UeovNh79X13d4/pU1Z8fZBJr5NLfTH/squJvcne1PqJ3Ffru7OfSppP4+x6r3kGvSeTCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRS9QPkzn6mt7KzyUsfcj7b1guln+8bfXd0t9FeN+PtSrOcrFgETCJhEwig64ftHI/qnsLXIe6/SHeh6gXf1+xO/sx9s/2i/pXnVjOU6ypJhEwi/RFFVwqkggkouuuoRFFFEhlFVlVDARNJJMgGOooocwAUoAIiI9Az8XxJJHDG6WVwbE0EucSAAAKkkngABxJPABf2LZwDcHgt1gaGWM2K6FI/o5nBCEVO3Bfs90KxElCmEnXtAUQHp0HHmL866Hrjb87e0Body1HNykkB3L08pIIBpSoIX4Z+rUTCJhEwiYRMImETCJhEwiYRZNT/2jjv1v2F1lRa/pDfR9QrFb9tj/AGY+5n7O/wBK8EpxyYXQKUQ3/wCctvpiPtTzIu+91HtfXK7pn7uT9SLVP0qZL4h00sGyjWftMIv0IiqoVY6aSihG6YLLnIQxyoJGVSQBVYxQEE0xXXIQDG6B2zlD8ohn4vh0kbHNa9wDnmjQSAXGhdQeM8rXOoONAT0Ar+12zhsKYOW6zcVkUnKILpHSFVuuUDoOEwUKUTorEHqQ4dSmDygOF+RTQzhxhe14a4tPKQaOaaOaadDgeBB4g9K/DP1aiYRMImETCJhEwiYRMImETCJhF6cL85ifqbD2pLNSH3Vvth6qtW79X1It4/or1Z8Q5BWEycXmwqM9ifxP/KH8ByPv/wAj0fWXak/dm/8AbX+x/wDpSo0yPXajTCL9EkVVzCRFJRY5U1lhIkQyhgSbpHXXVEpAEQTQQTMc5vyFIURHoADn4vh8kcTeaVwa0kCpIAq4hrRx8LnENA6SSAOJX9qNnCSSC6rdZJB0VQ7VZRI5EnJUlDIqmQUMUCLFTVKJTCUR7JgEB8uF+MmhkkfFG9rpYyA4AglpIqA4dIqCCK9I49C/DP1aiYRMImETCJhEwiYRMImETCJhEwisvm4F5XCwa/8AyZt9TR9leZR33uQ9t6xWfv8Adyfru6p+ivJfH2mlEORa7piYRfoiiq4VSQQSUXXXUIiiiiQyiqyqhgImkkmQDHUUUOYAKUAEREegZ+L4kkjhjdLK4NiaCXOJAAAFSSTwAA4kngAv7Fs4BuDwW6wNDLGbFdCkf0czghCKnbgv2e6FYiShTCTr2gKID06DjzF+ddD1xt+dvaA0O5ajm5SSA7l6eUkEA0pUEL8M/VqJhEwiYRMImETCJhEwiYRMImETCKwkL8mifpjD2VLJyH3JvtR6i82Hv1fXd3j+lTVnx9kEmvk0t9Mf+yq4m9yd7U+oncV+u7s59Kmk/j7HqveQa9J5MIv0BFUyR1wSUFBNRJFRYCGFJNVcqx0UjqAHYIosRuoJSiPUwEMIfkHp+L4MkYkERcOtcCQ2oqQ0gOIHSQC5oJ6AXCvSF/bhs4ZrqNnbdZq5RN2FW7hI6C6RugD2VElSlUIboP5BAMdK/IZobiIT272yQuFQ5pDmkeMEVB9Bfhn6tRMImETCJhEwiYRMImETCJhEwiYRS9QPkzn6mt7KzyUsfcj7b1guln+8bfXd0t9FeN+PtSrOcrFgETCJhEwig64ftHI/qnsLXIe6/SHeh6gXf1+xO/sx9s/2i/pXnVjOU6ypJhF+7ZAXLhu2BRFEXCySALOVSoN0hVOVMFHC5xAiKJBN1OcfIUoCI5+LTmlEEL5i1zgxpdRoLnGgrRrRxLj0ADiTwXRfxmjdjRm39ZxO2Nfcd9hT2uWWlrVrrb2mOL8pyIlNp6tY2Z8zr0622NqV40itPHp61cCMY2CWgGzwpwKdZJYI/qfcVk2Rlyxr2RvcwMcCyPnLmgkA1b+LSlAS3m/hVosN+9t7o2+27zeQ0Bl9Y4jE5mXM2uQxOZ1NFp+LF5R9sx9xA7HZVj5cuLttx2mewtb+SIglsckfbPJtbvfXbqpaZna+/wBUa8sCv76t2X8nwzw5Nq3apGdwMVEVt8+l6/ESCrSKlZtywBVre3DtNlYIsAO2big2MsauuoJIrUsMbTSR54QOpwAHnAGlQ+tCPOXAm1WsINQbkWuXtM/mLRn6s4WwPW7h4uyu+SeWa5YyG4ljD5YoGyckuDjidNYXVWzTCWYRjTp4ZGg9bzt5gt8cgoGMn9VNdt640Nrql2KNjZaG2tu3bc9HVxrEuIeVIu0moTXFZl1p+TQOQCm7tv0E4AomaGxNvE+Zs9wA6ESNYAehz3ECnmhoJcfOA8KyNd93djWeL0tdbU7RXc9pr2TT+RzuQvLeSSKbF4XEwSXDpWzRFr4ZsjcxMsLZ7XVHNNwaSx48CB0vu6S5mcq5LjLxrom5onVW6dp1l3RbHrqm3DXNTh52+XWNqzUlIn1WME2I2ZVtwnHFRS7DQrYQIUgAXPns9wb+V1nEHhkjhTlDmgEuA8kgjwcPOUtldytsLLu3aCst7ta5XTeQz2mcXcsvrfIXlpkbqaCxspLpxvYA+dxc+5jdcF7qymQFxdVytL+73xF//wDmFxQ//wBSNF+95VdXlv8Akkf+IZ/FXBX639zj/wD7jr7/APyvN/xFWu+cNuVm4N3UVPc+jNacUYKehpIJewV+n0XUutK9R9fIr2O93eQg61IFYvJWDg5EVFj9AXdAVBITAQnaJSS2l5LcNbcMbDzA8eUMaA0Vc6goOA4nwlc06U7x+wu3W2GVfttqnN6+ytpcx9Vb3F3fZXJXF7fltvY2Uc9zHzsinnjDWDiyKsr6FzuV20q5UbivFXeJj9t0LVMLV+NG6aVw60VOWyx8mVrHMPqpTqVsSPWdwenFj0481MzVudPHEhJskyOVjd25VMkmmGSssdq2TlmbCIon9U0uMvMeUAn3PhUkk1IHE0Viem9Ub8X+mLi82+y2fuc5rbTN7q/OQWtvpttvCy6vL3HyBk+YAvBDDDaRQx29tM4xsHPBG173lQT4huuuKcvHc1Ni0aiapsO39X3OBZbGlI6ycnYa51Gw7DuKVcipg0VYHLHTM0+FwksK6Eak5YFKQwl7IimI6GTjtSbiSFsRkbJ5RBl5gS7xGjCa1BpUeLwLlXuf6x36x15tno7VOVz9nt3nMbO/HRSW2mprO7t8fZm4lhEtu1+YhZylgZJcOjnJLa1AeBGekavDQ3CDjJbK3G+HdW7Vb7RyCb3Gy8y6bRHdgtqFauNfa1pCpzM7V5iRkka42kHKb0plOygRw0KUOggAfEDQ3HxPZ2Zr3PfUyNaSactKEtPRU/hC3tudnclku8/rfAZqbeG9wOOscA6zttH3l8y3tHXNncOuXXUMF1DHGbh0cboSG1kdHcE8Rx2Cpap1+bnFAaoNTPCpNqV39oem6sJrDVg8gXvxDUMRZJP4bC/ZH6T4pZXCsix/SB24RVJTydemSgiZ75NhpZ9QeWreVnMasBNPJrxPEceiitFfr3Vo7r13r4ZLfobgx9r5MocnlPeBnV5aW2i6ybtvDqrZrbefyeF617ONKrkozZq7AyYRMIsmp/7Rx3637C6yotf0hvo+oVit+2x/sx9zP2d/pXglOOTC6BSiG/8Azlt9MR9qeZF33uo9r65XdM/dyfqRap+lTJfEOmlg2Uaz9qdONcLcJzdtBb6+uGu6LeGcwEvUbFtOQhI2mo2KJRVfQzB4tY42XhFH8vIIptWSbluZE7xZPtmTKAqk1YGudM0MLWvrUF1KVHEVrw6RQV4VpXguLd6snp3F7Y5abV2OzGV0vJb9Vd2+LjnkvDbykMmkY23kimEcMZdLM6OQPELH8oe6jHdDfFqAnbXXt3KWDQmm6Le5nX+4KZsOu0bghfbdT4izU66spez153tCt2awUzdATf2gKiVNiXSCiso8bN2p+0xKipuOxY+Rko6pgeWvaQISWgtcCRUEhx8ng0ECpFOgBYft9stisDl9MMxGrNSZXSttl8ReY+4vtc2Fpdy215ZPhtrhmMuLa3vMN1Ha+V+Yu4ntbbQzTTt5bp0jIN8U2tqQeqSNnGtqqxdVOiaK1yta2fCfYlNQalhouAdp/Y3IGUclqFMgBTKRmnWE/TVY5MziLFwoqRQQ0cwx7IxVgADWNr1Rb0NHQ89HRTl8HR4Fyj3EcyzKa+M0Wav5YMhlc5kRav1nj7xzjNLOw9uwETe13k9azOybupbcOEV8IWRuYDTDZrzVN98Luq7CrGgdWasutT5iVrUL+21KMcvLdbYZloGw2V87n7fYF5Szqlmpp2RwuxK7BgCrdI5EimKA5RvET8KJBGxsrbgN5gDUjkJ4kknieNBQeIBXKaItte6T789/pDOatz2e0zkNubnLR2l3K1lpaTPz1vbMZBaW7YrYGGFhjZOYuvLJHtdIQ4hetS5HXvGvinxG2E343ar31YeT9624Oy32zaWa9Srav63vsfR4jW2tzKKlJTbBORzlV6DxoT087hZIQFRMoJl/GmO0s4ZRGyR8xfzcwrwaQA1v8HxkjyuI40FFH6ls9X71b97haQl1pntJ4fQ2KxPvazG3nYYnXGRsZL2XI5GgreW8EjWQ9TKeoEbJBRjyXmWHHGDVPGjdfiPWVDXUXt5DibUtfWPTerthxq9mrKSG7HtekGM9c4J0uRzaY3VFYnwMui8OKayRTquA7wCmLrus4rO4unFof1ABY11aeW5tC4eHla7iDwJ6VsGHfLX29m2ezOElzE+npdf5C/t8xk8fI22uS7CsuI3wWc7WltrJlbmAhj4WhzHFscXkFzXQJvPVjDkLx04z8lNa6arWttobS3NYeNtloer6t9m0LYlwFRs815ZqLXFHJYiGcSJFXEW+Bob0JeQREA7kyChTU08XabaK6ijDZnyGMhooHHgWlo8Fa0NOFRwA4rlfa3Xd3tBvHrbZXWupL3NaGwWm7fUdtfZO67Zf4+zo5mQtr64DTNM2MiO6g60dcy3eCetbKxwsbE6t8RSIi42KT8Mzi++TjI9nHkey3FXSUlKPCMm6bYrqSkXL07l/IOCpdtZZQROqoImMIiI5VNhyrGhotWEAU4wsJ9E8vE+auG7/AF33Oshfz3797dcxPnmfIWRaozUcTC9xcWxxtYGxxtrRjGgNa0Bo4BR1uvSPPu5aztETZvD70brevtWZZ+ZuetePepKBbYWNrapJ164ZWiAellmLQzdgYroqX/jmwnTEBAwgOlcQ5J0LuttmsjAqSImtIA49IANPGt47Z7nd0zTetrHIYTd3VOay75Oohs8ln8tf2k0lyDAxr7WdnVPfzSAxF34knK8EFoKtHxj4pw2ltHUnXOwIDXt+u/M+8O6zuOGmrhb2Udq6g630/KciKtTHs1qmSaWpnYphgWNmZNJm5Arhu6bNVCKogYx6m1tBDbtY8RvkuHHmDiaNa1okAqzygTUONPByinSuCt79+8luXujk9ZaSu8xidMba4tlziJobS0fJk7/I5eLT91eMhykb7V9vDJ2iztnTRkxyRTzsdHIQGza5qnh83TjfxvqbSG0dJUK47svVV1KxcP8Am6xhJLYU64rMVIMI6SRSa7BbvXb50gm4PPKpRCQCmZscABUQqCzHPtYmtEB5pHgcZ6VPJWn5VeivNw8XhXGUOf73emt59Z5+4udUQ6rx2mLG6yr2x6KfNHj4G3MsckkZLrBzGMa90YsWuu3HnEzSerB1ycS9c6/V5scu6mfXGkI2I1lp/k4anVzbbc+wdL0m2a4WbRkJZZ17slvYJNSrQ0pHndOHjwFXaDA6vUw+XrHWMbO3Ssc2PyWS0DvKYCAafjV4A+E8aK8rvAay1azuy7eagbmdUTZHOai00Ly4xLhj8ze2mRa6Sa2gZjnW8QupopBFHDDyxPnEdAOFLvLVhgXi/HX0qPgxk2AtvqZqC97U19qwNSL05tr2BmWlSayf2J+LYzSbdLPF0OwHZjFkT9R69AkC09iEv+Q9b1pFeVlKcoNPxempJPmEK2CPOXR3ym0m53eTOkW6Thu22Iv8p77NvHZCeF926Pt3DHPhayGN9eNyyRtOFVrS8T2p1urbD44K1+B0hCurXxI1zbrY74716ArmqbRbZO+7VbSVoraFci4hjItZBtHt0k3Rke9UboJFEeyQoBGZZjWvhLRGC6AE8gAaTzO4igA8AV6/cdz+azuj9Zx5e71PcwWG4ORtLVmoLie4ylraRWOLdHa3LriWV8bo3SSOdEH8jZHvcBVzidaGRSvYXpwvzmJ+psPaks1IfdW+2Hqq1bv1fUi3j+ivVnxDkFYTJxebCoz2J/E/8ofwHI+//I9H1l2pP3Zv/bX+x/8ApSo0yPXajWXUCHXsF3qUI2n6rVHEnYYlohZrw8bx9OgFVXqIEl7Q8dM5FuhBMDfpXInbuCikUwd2p17A/rW8zg2oFSBU9Ar4T5g8PmLb2rcjFiNL5DJz2l/fwwWcr3W1kx0l5OAw1itmNfG508n4sdJIzzkHnZ+MOlviNF7Int5yae1dR6IYboiJScpVnt2tuJUzsKKs4XvUR2lb2tYORmvZyR1hRmV1irSV1IRgs2BZOPTVBRNqeTE6e5rBsr7kh7I+vFWktj5h5bKBxe0loBrU0ABFeipKwo94S+0ZitrYH6C1DqqXbW4ggvLa0yOq4cfLbdhywfcYq309kII8nevspbUxQXImnNtO5hY+dtkGvx/mlTzV3ifWYlbVFOA9Q0le5NtItvDx2rBwleabAt1kfphBT7t4aE4x2aJ9IMu9Qk3Dxz6f3cioREHKaWMhG9lkwGMUbGePUuFOZx8J4MIr0cePHwqY7tOom5nf6+yEefyPLkdT2Mbo3bgYuea4fYWltGevgYzrtS20vKI4X20cMfUc9mx0phfIqUcHrUXcVt07qGI4AaKtekEywtM3ztaf1vOWWxt0kY8i2wtoS29pBUA11JM4xY0m2j0VmyCJxTbImAVUDJ0OPd10jLcW8braoD3UJIH5Ti8mraCp4EAeJXM96DAu250/qPcPI7t6qsNzyZrzBYuDIwW1u4mQjH4yLBxj/wDEI3yAW0lw9kj3gPnkFI5WvxqBitO8eeO+/OReutXat347NzYn+Oeu5LcNYJsukVnTsPWXt0hrQ2rzxdONczd2QM3bJSC4mVTRTMKB0zmET/DGw21q+7iDZD1/Vt5xUBoBdWnRV3DiRwANKFTWWv8AcbeDeHSezmsc7ndJ242yg1DkI8RcnG3tzl5rllnNauuGNMjYbJwkkdbso1z3N61r2gcszNuKWl0OYcfbz6lcfYc7wUdc7YDjQ8JIgzc3b7UfqDp0Wzk5JheCLc41y4SZgJeqSZWvZFsAkHX7HCLsSFn5o23XBnHp5SeWvTTmB80t4LjabfzcqXu6TaebqBn61Wu6jdDz6kYY+dtl2qMe+/M0GFs5s5Io3TUPlOdPXrjzCuF+Z1TlFwm2PyRT0prHTOyeP23aXV5WT0vQQ17r6/0DY7czBvEvIBi4UhD3GoWL0ZU7tAe/Bg6TK4IYy6awUsgbd2T7rq2slie0EtHK1zXA+Do5mkdIpwPGvArmbSdzn9i+83htl36mzmpNF6u09eXUUWZv/fC/sL/HO6x0rJ3tEws7u36xoieOQzxPdE4CJ8amyh6O8RCg1CApzbw4ePtoQr7ErFOwXzjbpy32+VKVRRX0qfsss/VkZh8YVBAVVTCbsgAfkAAyoit8rEwRi1aQPC6Jrj6JIqVxlqvdHue6s1Fd6jn3m1dYy3cvObex1Hl7S0i4AcsFtFGI4WcK8rRSpJ6SV9Vx0x4iVyqthqa/ht8dK8jY4d/DKztO4yaXrVqiE5BudsaQr1hj3pH0LMNQU7aDlEQURUADFEBAM/ZIMrIwsNq0AjpELQfQIbULQ05uV3O9N56zz8W9GsrySzuI5hBealzNzaymNwcI7i3kYWTQupSSN4LXtJaeBWU8IuMznRenJ7dV6hqjY9mb3sWquOtY1pNWaRZq1DU3IfZC2sp+9WN3S3yVkrslcFa/KMIxZk4bvmjdi6UTUBRTsJrC26q3Ny4MdJKWxtaa8GyEtLjTiK8rmilCPKPiUF3nd7YN09x7TbPStzkbLROlbPKahuclDbRvF3ldP44ZKCxt2XjDbXEdoLi2nuWTRyQSyTwMezkZzPtkFZ8PWpcYN31p9D6OYa4qnIKqVvYzRJ9zfeQUfs2GjbFGtmTyQOi52OtJNgbrJonh1FIRRMDmWOJ+6Ea3lxrbSRrhBQStB93pWj6V/Kr00p5Pj40XABzfe+1BvlpfNWtxqiXWd/pG6ucc8s0UyeTGzSW8jnsjBbjmxu5mOeLtrb1ruURNDecCglD0jqiB8XjXeiTal12113FWCOi5aiEc2jZFCsISGpXltTkV2+3Vp6adJuhk26hmzwVE0V0eqYFAA6R8MEYzTIHMZ1fOByirmkUr+XUmvTxV2eq9ztfZb7PPMbqDUGYfrC4tJJYr4ttcdf2/V5VloY2uxIghaW9VI0SQ8rnxvo8njW4VErDCX0Nv63TCPgxy1xp0tp1CmW2u6+1YvrmotrLN2lpaG2yH32IX0B7ZWrBunBh2Td84buA8nZ8tfE0utZZHdhMjXMoeVlBXmrXyek0FPOKt01VnLrH7raS09jnd5O305kbfLuvLS4v8o3I3braG1fbOxzO3fnGWznyOvTUckckJ41VDvEWqlfjNDcNLc3heKidxt8tyWQttt4j1iqwOubQ2rU3qtpW2yj6swcJ8Xe15q+XTOC5T+juFlwJ07ZutBkmNFrBJSHrHOkqYwADTkpWgHEVKus7nOfy99utuRp6a516dOY630260tNWXN1PkbV1zDlH3Lgy5nm6plw5jHAsI6yNkRdXlbTUpkMsgaYRWXzcC8rhYNf8A5M2+po+yvMo773Ie29YrP3+7k/Xd1T9FeS+PtNKIci13TF+7ZAXLhu2BRFEXCySALOVSoN0hVOVMFHC5xAiKJBN1OcfIUoCI5+LTmlEEL5i1zgxpdRoLnGgrRrRxLj0ADiTwXRfxmjdjRm39ZxO2Nfcd9hT2uWWlrVrrb2mOL8pyIlNp6tY2Z8zr0622NqV40itPHp61cCMY2CWgGzwpwKdZJYI/qfcVk2Rlyxr2RvcwMcCyPnLmgkA1b+LSlAS3m/hVosN+9t7o2+27zeQ0Bl9Y4jE5mXM2uQxOZ1NFp+LF5R9sx9xA7HZVj5cuLttx2mewtb+SIglsckfbPJtbvfXbqpaZna+/1RrywK/vq3ZfyfDPDk2rdqkZ3AxURW3z6Xr8RIKtIqVm3LAFWt7cO02VgiwA7ZuKDYyxq66gkitSwxtNJHnhA6nAAecAaVD60I85cCbVawg1BuRa5e0z+YtGfqzhbA9buHi7K75J5ZrljIbiWMPligbJyS4OOJ01hdVbNMJZhGNSHA3cR9l3el6msnHrhaOrtYUmWvO4NnXDjTSbLdGeptZxXxW32Gcs0qoZWQskq3STZkfOCKFI9epqqJnIUxBiMdO58jYXRwmFgLnOMbSeVoqSSRUmnAeaQsg3es25bonS+S3Aw2r9y/16zmTiscRjbPUl7bWb8rkpeqtLeC2iFI7aJxdM6CMtJhhexj2uIcPj1bZNXXpp4gfNlnx41I8capDU5NM6Of0eLV1FTYvZ9zeUctim9dxJGlenHdUq8Aio47xIGK8s9VdHSATlFP8AInRSi5yPVsqzl5WUHIOZ1KlooDygU4ihcakFVGu8LrnS1xtH3ZLnWGoY4c/76nMZuO9lGWvJcZZsvTbwZCUvuIGXV1O9sfK7r47WFkDZCGkPk6M4yai5Bbl8NnY0rryO0/V+YKF8T2praoMHVWpzqx6Pk1kpJ/S4xVYxq3W9sRvoAJt2RypIEcio3P3pxPmq2ziuZrSVzQyO4JDgKgVa6h5fEHCnAdBJotkX29+4e0W2+9OjbDMTaizu3T7E4vI3cjbq8bb5uIGOO8lApc3OKk6/mkmBc8xhkzeRoasJINK5hak5mxjnjJqvQ1x4xVNXbGubBqnXJ6S+hoKr2ZWJtGr9sOmbgzW1zUhXO8Fsu97D8HzJwuAnTSOkGiC2+hmrEyN8TOdpaKUAIBa7+FwNQT5VQeNKhbmcNTd3XcHba9h1vntV6c1xkBisjb5XIi9ZNPdWwltcnimvbzWsMdxyiSOGsHUTQxHlfI2Q/Hx90tztrOqauej8CNJ7XqNpYtbvW7zs7Qeq9i2Sbg7axaS8S5TsdmfGlTQ60cuko1QMBASIf/JARHP22gyTIgYrcPjdxBdE13AgdBIJoqnd3cvurZvXt83VG7GpsBqGwldZXNjjc7lMfbQz2j3wytNvbM6oTCRrmyvFS9zekgBTI51v4i7luu3Hwx+KyILoqois24m6NRcJAqQxBUQWK77SSxO11KYPKUwAOa5iyxFOys/xLP4q44h1p3OIZmTDe/XjixwNHaqzZaaGtHAs4g9BHhHBYRwr4w27jhH7v5e7fgINjd+N1P2a+1Tp+yyrI8tP3+mliavbrPNxUc5dOE65rlzdmKPXyCrJvkDlMQEiGU0bG3dbiS+lA6yEO5WHpLgQ0kjpowuB8HEih6VufvL746e3mu9L93jby7updMa0yONZlMvbRPEUFhedbdWltDLI1rTcZFtlM/whttBK1zXGRwZsZrGt+D+rYPmdQ5at6Ug5Sta7qx+QUU3n+adlSYxUpZ4CZjRsU7Mqy0k8QXeSCSoLVVwtIC4MUFhBLvOkmyKwhZPFI2AOawcwBnIHlt6T59PxeNfMqrNs5rPvQa6ym22q8fe6murG9zF0MBK6DRtsXyxW08MnZ4IRFGxzWRubyZSNluIw4xjrOSupXf8AqzSNS5bcQa3rDXWvYzW+y0NI7ABSsTO2bXW9gVTYmwitmCkxC7ydSFgju/io5RJZkokkkqgsAKpAfthkPcxRMu4msbGInBp8kvIIJ6Tz8fMp0LIFtLrvc/UHd93EzWuMzmJ9Z4R2asKXMOKtbmwusfj+aQQzYRsdvJyyyNcyZrnPa9hLJC3lK2qR+vamvtLmNALV7wjFa9rSm7qlNXwLbW2rDW/WspVthw0NVJLeTX7H/wDI8FWIRyqynj9VO5lFUieXr1yc6tvX3LaWXIxr+UcrKto4Ac3k+AcDWvGisNu9X5+LQm3GWjvO8I3MZvJYaLJzuyOU7JkorrHzTXUeEd2389PcztbNYijee2a93ClFQPmJVYNXgizvkjFcGJO9I8t6lUW114ZVGlxbJrUnGnNjTLmr2ebrlchHwunMw1SdmanMZI5EkFBDtEKIRt40HG9Y7s5k69orG1o4crjQ0A8PFXad3PPZSPvVSaUs590oNKu2+u7t1nrG7vJXuu25fHQturaG4uJmcrYXOiEoAeC6VgNHGulfIJZLkwisJC/Jon6Yw9lSych9yb7UeovNh79X13d4/pU1Z8fZBJr5NLfTH/squJvcne1PqJ3Ffru7OfSppP4+x6r3kGvSeVueFsFtWW3CD3Sz3T62w4WuzDmHo+43FU+D7WbPUixczraDjLiiMPMzdlhHbggoC5jlDMyrgm6SUEgHqbNkj5x1PIZADQOpR3gLfK4EkE8OFRWnGit87y2V0Fj9uezblxaibo+5vIWzXuHbdddi3MPWw5GeSzd10MNtMyNweI7homMRfBIwOLd9fHSkJbI45XJCE0/qKvtb8lo+zvI1n4eO05CgIuW83JwSsGk4c2R2y5DDV5q5j3VgYSJEoePZPZJUFGy6h0dw2cTp7N3JG3ldyO9xcRwJFBxPOQXdNagBx48aYoN49TyaL3lxsuT1FqG8nxLs3bMkfuBi478tdDFOJy1tux+n+0w2fl2E9u593PNbWUfJNExslKPF2KilcHFmeayho0kxul4eRlHvFPY2pJ2f+2Yp9GOY1fkVPKxkft6CmeydQpotu3FVAjdykcSJEOahzYf1xcWcvM88erLej++P4/j4U8aua+z0MkmnWYS2zdzO6200wRxM1TjstBB2mVkrZG6egEsmJnh4NIupJOR7poXt5nuaK7c3VtYWzibwH25r7RusdHyGxVOUbSyxWuIcW/xUlEvVErECebsMiZ1Z7Kq0bJLKJHkXbk6B3awJiUpxDNG+ETrC1mjjZG53WV5QeNC0CpJLj6JK5h7sMeuMBv8A7sbe6u1TnNUWeGGmH20uRm5uqN9Y31zOIbePltrYPcWNcLeKMPEUZeHOaCrhydD21r/izxQs3HvgdoLeEfKce2N72ze7bxpqG0rItPyk3LrtQPJKIJz0w9JDJFVWSTF6ukiZMTFSJ2ANVclzFZwutrdkjDFzOcYg81LndJoegU84eYrdLHVe32rt9tf4Td7dbVul7yDV77HFWNpqS7xdu2CKGJrqRhxghYZiWsc7qWOeH0dI7mIpjoUtN1xxG3fzBW01rHbey1eQFU1DCVzYdJZW7V+rK5P12SuctbfsNwonEKBLPhShmQuQOkyP3IIgAmOB6G2DIbN95yNfMJGsAcKhoIcS7l6DWgAqKDwcVcnuu7Ues+8Jpfu6x6kzmn9Et0ldZaa4x96+0yeUuILiOzitO3NBlHVM5ryYR8rpm9YZKgNLbHRHFbTW5eTfh8Xt1rVtr7XXLrXNsvV905X20nXa797aggrNKz7CmNl3IyEPSdmrREcZi1RU/C3emO3XEiyQp1TLOG4urZ5byRTtLnNFQKt5qhvhAfQU48ObgehcM5DfjcjbfZHd7SsGafl9Y7e5m1sbDL3Dori47Fl57aKCS8c1vVzXuNEtwJ5Xt4yQhssQdE8Pgm5lqPKjiByI3cpx81loq98Ydi6yJGSmm6KehVizUXac+vTXlCtEc2UGOmLRTJcGTv4iqASIorlKcABRQx9B3Le2Utz1bGSQuZxYKAtcSKEdFQaUPSRWtelcq6bOodh+8To7bBmr83qrSuuMPkjLFmL4X1zbX2LgbeMvraRw6yG1vIuui7Ow9nD2FzTVjA3O9MaO5/UjW9ahK74fWjNjwSrVSbibjsrj5qPYFtmY+wrKTbVZ5ap58eUkGhEXxStSqD+hbARMvQpQDPu3gybIh1ds1zDxBMTXEg8ekgmniW1dyd0e6VqfWl7k8xu7qnDZVrxDLZ43P5awtIZLdohc1lrAwRRvLmEylv48hc81LiVn81qrxFZuHloZTwz+MUaSXjH8YeRheK+kouYYEftVWpnsTJtnpXEdJtQV7aC6YgdFUpTl8oBmo+HKvYWG1YAQRUQsB4+I8vA+IraWN173OsZkbfJM3s1xM63nZKI5tUZqWGQxuDuSWNzOWSN1OV7HeS9pLTwKyThpxWluOurLZtXZleqkxt3clu1pxlh9Uz9mkGTmjaz31s9zqm03Kzu6TIJ2Kuy1peVuWjY1Zi4Qes0GDpRNTvFOwT9srV0EJneGOmkc2MMdXg15LS404ivK5opQjyj4lC95HfnH7x67x+g9E3l/b7e6bx+S1LNlILaN7b3JYLGNylrZ2zL2M29xFasubW4uGTRyQzPngY9nIzmdaYKz4etS4wbvrT6H0cw1xVOQVUrexmiT7m+8go/ZsNG2KNbMnkgdFzsdaSbA3WTRPDqKQiiYHMscT90I1nLjW2kjXCCglaD7vStH0r+VXppTyfHxouCTm+99qDfLS+atbjVEus7/AEjdXOOeWaKZPJjZpLeRz2RgtxzY3czHPF21t613KImhvOBQSh6R1RA+LxrvRJtS67a67irBHRctRCObRsihWEJDUry2pyK7fbq09NOk3QybdQzZ4KiaK6PVMCgAdI+GCMZpkDmM6vnA5RVzSKV/LqTXp4q7PVe52vst9nnmN1BqDMP1hcWkksV8W2uOv7fq8qy0MbXYkQQtLeqkaJIeVz430eTxrcLXNYYTeluRdonEfBjmrVSonWC9Hs1X19qxxQ6W5n9hsIawOdoPPsQvw9lOwip2UQPZN3smchPJ165XwtLreZ7uwl7WtoQ1lBVwBr5PQRw8+it01lnLrGbl6NwWLd3k7bA5O4ybb22ur/KNvrxsGPkmgbjGduPWPgmAmuxUcts1zuPQqHeItVK/GaG4aW5vC8VE7jb5bkshbbbxHrFVgdc2htWpvVbSttlH1Zg4T4u9rzV8umcFyn9HcLLgTp2zdaDJMaLWCSkPWOdJUxgAGnJStAOIqVdZ3Oc/l77dbcjT01zr06cx1vpt1paasubqfI2rrmHKPuXBlzPN1TLhzGOBYR1kbIi6vK2mpTIZZA1L1A+TOfqa3srPJSx9yPtvWC6Wf7xt9d3S30V434+1Ks5ysWARMImETCKDrh+0cj+qewtch7r9Id6HqBd/X7E7+zH2z/aL+ledWM5TrKkmETCLpI0TXtDcUNd7OotmsDqrWrTWoOM+zeUuzKIvLS8rNWy0ckKXsWH09FkgnKzdUrKtkZVsz1ApET/HFjujigibu9xWzLe1ZIx5IcyJjpCCSSTIx3IONODaNqOHMTXgFhe3UzG62/usMHqnCWkd/gdSai1JjdMY2+bFDFDa22nbzHzZeUztDgX3JmyIheS8dijbA3rZBzy3r/kZrzkzetcT+u4bkSyNTKfvSz22xsHNruGil5veeid1bZ2PrPYtmkCwcRGvtO3a0xsfBODN1zmFRFmmmZAiDhHXZdRXkgfG2QFscpJ4llXske5pJpTkcQGmnEdP5JXH+rtm9YbJaWzOJ1hc6Olbksjg7a0t5G2tpnGw4TOYbFY7JY+2j6+WRmXsrW4uL6MSMADZLl7xK6WGTWzxo5x6ecTnCPT2yONuvmUDo3Z9ATgdqSG4djU6Npk5NX2uSNs3LPwjCbh6S+k28i2CVdKTBXDNNJAUTCRoBiZH2V/CJLeGWKPljkFHFzhSrgS4+UG18PEUoAOgUV6W9ndd3Fhxe5+4ui9aZeXK6pwd+Z8XHiMdeSXkENhcR2uHgmkhmvWRujd2WJtoY5XOk6xodcEOWBbG09G80OZu+p/UkFSNXaPp+yrNI7k3N+8NWZ13HV15fbYtIbpeWO1Tjtuq4vzRqs6j4yJOZiqqUhGpCIiZQulND26/ldCGsgDyXOr5IFT5RJPh6QAePQ0Ldejdxb3u1923SeJ3Buspnd0MjhbaPD4f3vEOQkuGWNo2PDMt7WBjg2we5kVxc3QE7Glzp3OlDWGwGsNpNOWPN3mzI6uZLumGx+GfIPUWi625VSj5KwsYXVcJQKBFR7WUVaGRlLK0hCvBbKCU6R11O30AhxCoglbd5Gd0I4PhkaweEgR8rR55AHDxriTXOhbjYHuw7ZWeupGsusNuTgMtm7hoMkdu+bKT39/LI6IPBitnzmHrGgteGM5alzQaGbz4e3/jLp2gXfcB5HX+17/frzW2WpZIkeMr+7qBrdZOS8nfx0uuqg3kJubeRyjY6JiKplIYFA/GQY64spbWJr7gFsrnO8kjjQBvldPhJIHDwFXW7W94vSW9242X0xt2IcvoHE4mxuH5WMydV74T3FyDZBkkTQ50cMMNw2QPDmOLgWHyXDoNbSN3hd/cvUb1MBoLQcdylqu2mHIS/U7UUzrOxOGkLTKZf9XIm25FLyCk1Z4uFSQjpStGXcRsm1ORcoAJiH3GDILu4EpEdqJ+bnc1hbWtHNHODxIHDlqQRxFDUYiZrPTGT2l27k0tbfrbuzNoS6xUmAsLzLQ5K3a+a8vLDJn3plbGIbaWZz7i1yIZHcW0rXREnlc3WZz4s3iIz0Zu2QtdUarcS9iXdxZWth1hR9L22muqZH3D43rx5YNu6xr0hZFEmZxaf53LSiSi7k4kU6mVFM0XkJMk9sj3tHY3urVrWFtObyayMHHpAFXVPh4q9runYTueYq90xZ4C/kb3gMPjG2zrfJ3uZtLxt5JadTkGW+JydxHbgvHW/mrW1c2OMBzKCMPHhbc3Gw4o8fOHvHW1aK0HuW/wmubhty6xm66pbrC81w53jbz2muVxilXbtTBhpl1T2EerKtnRV1gMVuId2XoBvmW4ba20Nq+KOSQNLzzc3kl5qB5Lm0JaGkg+NSu3u3F3v5u9uLvFgdVas03pK6zNpibKXC3VpbsyLcJaC1uLh5uLK866Ft3JOy1kiLGEGUHnPFuz+AtN2sPietiQnD/T8lQqcpqpK58l2Gub8vdKQpL8YafZkCSN7JejVCIGOQlEY1r6RGj2IoEkz9tTqsaYZI5+Yby27Cxojq8Nf5NY2nieblFOgVHQPHxVjmWwOmcP3HXuye4uooNV5EZQ2em5MjYNs70Ramu7ZxjsTY9rl6x0T7mXq7jjddY9vKz82OTbNnrP4mETCLJqf+0cd+t+wusqLX9Ib6PqFYrftsf7Mfcz9nf6V4JTjkwugUohv/zlt9MR9qeZF33uo9r65XdM/dyfqRap+lTJfEOmlg2Uaz9qZuPGnZHkBuzXGnoyUYQat5sSMc8nJNy3aMYODaN3EtY5pdVydNE/wivx7pwVIRAyx0wTL+IwZq28LriZsLSAXGlT0Dxk+cOK423g3Gs9pNsszuNewS3UeLs3SMgia57553ubFbwtDQSOtuJIoy6lGBxeeDSuhFlyC4mat1FrKchJW0670vsnYHK7QWtqZVJu2wjZWjXS86LpF33tJ2hi3lzQr+iU1i/nmiApndC+ne6ZplTTVBPcLLizht2ubzNt3SSsaAXV5XdWC8njxDamlD5RAAoFiGudou8BrvcPOYvJwWGY3KwuI0tnsjeXUNpM4X1nY5y9ssHFbPdCJo768fBYyvDmxdRY9Zcvc97OeFuW+yoXdnFHl/u2tV3fVQr20rbxUmmlf21GTjeh+mtbluNkjO6Wl5l2KUlCW2oN4iUkWzRsm3YLuUikVVIcqbfRvJW3FpPctbIxskkZo7or+c/FPhBFCR4DUCoouS+77orJbZb+bd7Y5q80pkcxgsfqmF9xipYHX3I6zw7zBmYoWVjmtLt13a28ksjpJ2RvLmMc1z5YhNx6gUfDzeaBHldwnPsL/avbcgCtUuTVCUYnpDbSD+lqMiKFW9ONaBm1ilKyBv5SD17ztfhz57OBiTb9bB1vXc9Osb+LyEePpr4FyGN38rJ3v492hoHc0aQ/UB2B5jpq+DxeuzTLwPIpyC16hpJm6zgfyKeUo44ST22onVrNCpeIFo/j7rZa8SbrY2vtgTkIz2PR2TdGOK4uWqIe50qcePLTYIhRb0ZWrOUFSuEkirLgqKhUaaxM4iIjuI4oubiHHyh/fNBFeanRyHm4AEhbz7zmJ2/yGu5JdQbR6o1drRuLibjr+wgmfjr17jIW2eVms72BjLW3lDOsZk43tMbpHRxGMMMo3IG3b655cg976J5Ga84xyVoYqsKRLbnmCwFV2BTYBlVaLHVaxOrJW7FTm5pmq19OSM1nUhQBykREOpw71P8ATcyXWSkuYJGxOdWnMaAtFAGmoI4gAkO8mo6a0Ru0entqO6npDardTRuY1xZWMokvYsNCZ7qwvJ33V9JdW7ba5t7x3U3Vw62Eti4SdW50ho09W/0+bO557ZGsOP3EtpuCC5RbnX2TJ3zYdu1kqwda5SvNpQZ0TXOrNWDCxFfrbuPi4VQ3fjHNG7H052Jk+p1Vuyvp3SRR2Yf1sweXOLeLamjWtZQAUAHgFKu4eFUPdk21xWi9cau7wNxp260LtqzCx2OPtMkJG5E2Nq599kcplOuluLlkkswHJ2iWSfqIqPo2OPminkIzb8ZOJlP4dy8zESG8LfuBffm94SvyrKab6wQjKmNN19q6cl4pd3FO7QKDt1KyLZJUxmKpkiGExTJnNpXIFtaNsnUM5k530NeWg5WtJHCvFxPiqB0rfu0NzNvf3gMj3jMdbXEO1+O063BYOa4ifC7Juluu2X+TgilayVltzMitbeR7QJ2iRzQ1zXtbbjlnwb2bvPlVsnds21d0rjC40jUbybfhDwUvVioULinUgYlaIfHGasiSSvVdTjDFAyRjFOc6Zh6E7Vbe2M09y65oRadS13PSrfJiHmitXDl4eEq3zu/96LRG1uw2F2xxkkeT3xZqe7sRgSJ4rouv9U3fPzu6h4jMdjcOuQaOALWteB5VMd4Lym1Ynj1x2turdd27bdkqvPzariUq9WasX0qNJkeMesKRZHR3c81eVyHZsIGwiik5lO7jkVjIkVOQpi58WJmbbQvga57xcv4AVNCyMHpBA4HpIoOkqY70tjoO/wB39Y6f13mMfp/C3+0uLbFc3Tnsi7bHqXJ3ts0Mgcy4mfJPbh7o7bmuHsEjmNcQVdbkJY+Xrak68p/CPY2suRtm1Vadmy24p6l0DiRJ3yrzb+djF6PWjari4KTjoyZp8FH+jyEpX2SgyEoQ/VQASTTJX3L7sMZHjzHM6MuLuVkRIJIoAwA8QBxc2oJqK8ArZ9ocN3eJ9TZjUXedw2b0bhM9Y42LEQXl/qyKxuoY4JG3tyMpLPFJLDdzydZBbX8zez2xbRhMj3u1qcUZW9ahHnjyz3xU2rmYite3LUE9TtqVaQhWt63tv60RykpSrBUWIVZ6RAkOzlHM3GtBYKtGS5RDuUxDpF2j3wG4u52guDSwh3Cr3mhaRwPQHkgEEUV6u/lhpbcMbU7AbU5B7MdPmLPLwXmLuo5nWODwNrIIr23u39qYXGZ9tHZXEonbLMw1619VYGpb0l9k8HKYvr/hBxeutmsfNC7UyF0zX9YbKlqs9dxGgqrbHtuiqyz2mefXuxosqiDhwD07f4a1KUG5TlMoaqbcdZjmdXbROcbhwDQHnoY01AD+avj40oOhcSag2sx+i+9FkotXboa5xmEsttbK8mzFxk8bFdMZLnrq0ZaS3L8WIG2XW8skcfUiTtEriZi1wYKseKWMwW78T29joURquyNOFGqkJ/WcFEycBF0KV+/9urL1hpAzUhKzEMhHEWKCbd04WWImYvUw9QEaXLc3NAHMEbxbtq0Ajl8p/ChqR6PFc7dxP3uOmNfy4bLXGew0m5uUdBkp5Y55b6LsGJa25fPDHFDM6Qg80kUbGOcDRooQtX2RKvlXpwvzmJ+psPaks1IfdW+2Hqq1bv1fUi3j+ivVnxDkFYTJxebCoz2J/E/8ofwHI+//ACPR9ZdqT92b/wBtf7H/AOlKjTI9dqNZFUKtLXi21elQBG6s7cLFCVaFTduUmTVSWsEk2iY0jl4uYqDRud47IB1TiBEy9TCPQM/WtL3BjfxiaD0VD6izuP0vp++1Nli9uKx1nNdTFjS9wit43SyFrG1c9wYw0aBVxoBxK6Tqpsjjfw31VepepSEmnX+LvInXtFflqTueQJya5CVvjLtaDnm0m/ZGfNK1ASV4llHKq5yAwK3raahSHcrJ95uWKS2sYnvZUthmYOBP5x4jkB4/kt5uPi5W8BUrC1n9Gbz94/XuKx+oIYDl9daOyF9H2tkDjprAXOpcXPA6KN/I+5njsomxsY0mcyZF7HObDG/k8nYWy9ebc1hyhtGqEeRB6JROEexdJRtvuSdpmNHbThtc2/SEFUtjQlunjxzVXZso6bzLN0kRkZw/btFXSwt1e8Iv8ySxTwzSQiURtt+SpqWuDXxhrgTSjjxqKeI8DUKQ0horWG3uudDYPXztHDVWV3Ox+aktLM2sObxc2RtM1Pd46a0gEjhjYmus5onGYRwSSxwRiWPkdFVLiFAOtGTNBuNZ8Rbj434uyDyFuu7NRWm9S0XLTzFzHRiGy6TKcZ7DHSJrNZZaLjTQzd82SUVdoJILEUT7KSRaWxDoeSQXMYs6gvYXHiOHO0xkeUSAWggEHgQR4Oe+8PloN0sbltOZvZzV799IY5rLC5a1sYpYoHtkldjb2LUlvJGLa2ilkF5JBI5rYnuljcx/M95jDjja7cteuR81xX5a6K4q0Wx7ZknsNqvfsvBwUI/1k9nLDI1KejGd+p9tpj6cpsaZs0TRZlNNJfiEBTICXfaVq6Qyyus5Y4Yy7g2QinLUkfjAtJb6LvEt87y4DT0eltGYzfjb7VWvdU2Wn42TZTAxTzzMyTILeO7glfYXdpeMgvJOslc+YizdwBD3GTq/Z3byCc7p50azldRcoojXz/S2pq1qGn8pNkSMxDxF5tFHr9hfzNrsD5KDliRkZsi62F+3UVetjRx2jgVlSmTUBA31cXTri/Y6KXlMbWtbI4kVLRxcekjmcT0+A+Vwqo3bHaKHbTus5uw3C0LcZe01NqC5y15pjHRwzS2Nte3FvHDa27DPEZZcdZW8EjWwyC4bLGI4yHsMrct5ZcjbHA8S7BorZPJPWnJHdO49hVSbniaQf1h/qXVmsdemczESwavKJXKxS3N2t1ve9+99DbGUM3QL6QoJkke39Xly9lobaSVsk73gkMpyNa2tB5IDeZxNTy14AVNaLb+wGzeGyveAtN09F6Lzei9tNOYe6hgOajuY8rlMlkA2GV7mX1xc3jbK0tGckPXSBoke7qWASScsMzVUkeFvD7b+utmOGMPyG5bvtbxrfWDaSYyFl1vpShTStzd2a7FjHDtGAf7DmzNWjSOcGK5OySOr0ASrJp6DmGzsnxS0FxMW+T4Wsaeap8RceWgPGgJPgXJOMz9n3lu8Vp3WOiWS3Gz+30WRkdk3Rvjtsjmb6EWbLay6xrHTx4+HrZZbiMGNszmsqQY3vsNe+Fu3uWhPDtnKdXX6+lCcT9I692ZtqMdQTiH18nE7C2M6vjh+R1KNzfEapX5Yrg6JylKKvRMxiiB+zVvsZ71tq6MHqOpa1zxxDfLfzE8R+KDUioXD+le8tt53f3bxYvUd5Czcw6/zWQxuKlbO2bIGXH45ti2MticOruriIxh4JPLV4BHLzRLw8aXWG0vyzbaYYTG3rZROSfCST1swrsS6fPLeai7K3bZYx3GwrYJo7VjIJxR3yxQ79JsidRRQxiFOcaez6wWsptwXSiaItoKkkdYRw4+LoXIHeLuNM5Lcrb+fcqW209gMrorWkWRkuJWsZaC+xuFtpGSTO6kOfGZRAw+Q+R4YxgDi1q2sb7snJB1ra1UjjFbtcX3kJY9sxGzLro6drHDxbamidePKW5V/dzOVNtGua1sm0MbfKKHPLgg7l0WAIkOUh1lTqTFy+4MRitTG+5dJzOZyw8zBQ+SW08s1JqQC4UFQKkKwrajC7MQa0sNT74Y7M4naGy0/NjbLNwXOrhi85kGXjR74wXbpG3OOtn2kTQLTnitHz9Y5pc2ONrNYfF5bfbPnVsHlNyvirBXbRxy19btybhd3amIUN0u5ba4eULWUMlARkNXotF5bJZ9GoxqbRukWRboqKICcRFQYq1fcNyDry7BEkTS93MOXjy0YKUFC5xaAOFa1V8O+ce1Fz3WMRsTsFPaXmC1ll7TD4hlleOvmta7IsvslMZ5ZriVzLSJly+5dLI428j2MlDQORSXx/wCSad94ncvHdb4a8Txl4688Sa5F62quutijXNkTN7u+wIaHbWeFU2q9lpqVhXzcowxWjtp3bl2p3hVu0UpNe3umvsZy23hrzxDlAeeYnnpw5yajwUI6fCtlbt7LP0pv/t5b5rcjX/vdNi9V3EuRusjj+0Y6GxsrCaZ1tMMWyKGKZjj2wyxS80cTOQxcri6JPEPJb2/F/gmzv2kKzxztqU3yvWf6lqlWsVKioNo4s2pSx0olW7XOWGcZ/H0UBcGUUcmTXUE5iAUPwho5Hn7FbiSIQv5pPJo5vDyONHEnj/vLkHufO09Nvlupc6T1Re6y0+610qI8rdXVveyzvbbZXrIjc2sFvA/qC4RhrYw5jeUOJPE6ichlkKTCKy+bgXlcLBr/APJm31NH2V5lHfe5D23rFZ+/3cn67uqforyXx9ppRDkWu6YmEXSRomvaG4oa72dRbNYHVWtWmtQcZ9m8pdmUReWl5Watlo5IUvYsPp6LJBOVm6pWVbIyrZnqBSIn+OLHdHFBE3d7itmW9qyRjyQ5kTHSEEkkmRjuQcacG0bUcOYmvALC9upmN1t/dYYPVOEtI7/A6k1FqTG6Yxt82KGKG1ttO3mPmy8pnaHAvuTNkRC8l47FG2BvWyDnlvX/ACM15yZvWuJ/XcNyJZGplP3pZ7bY2Dm13DRS83vPRO6ts7H1nsWzSBYOIjX2nbtaY2PgnBm65zCoizTTMgRBwjrsuoryQPjbIC2OUk8Syr2SPc0k0pyOIDTTiOn8krj/AFds3rDZLS2ZxOsLnR0rclkcHbWlvI21tM42HCZzDYrHZLH20fXyyMy9la3FxfRiRgAbJcveJXSwyaZ+JV2pGvuLXiFTMpZa3EbFsuqNXauoEG/noeOtdqiNg7CVZ7AaVSGePW0vYGsZExzZ1KAzIsDZqQqiwAUS9Ye0cxlncv5gJixrWioBIc8c1B0ngONPRWSPvA6Y1Pq/fbaDG2Nle3GjrLP5PJ387IJpLW1lx+PD7B91Mxjord0sskkVsZnMMkpLIzUOph3B+S2XFXi5u9Tcn9U8a7h9oggiO5pePhKHseNcSzJKTrUq7tdcsmvFfh7YwvE0JdExlVCFBsQw96olp2JlEpMMrIn8v5RoHDwg1BafHR3Dh41uPvQWWir/AEvjbfX+hs9rXTvvjzH3nhkmvsdI2J5iuYmWtxbZAdY78059o8BjSTM4DkZJZ3l7vz95WxuHWnm/J+Dslq0QaSdXjljHOJMlIitn7LucVYZeQpy9Wgmih6Xq+OgoxlGuY5mg3FBsUhSIkSMcKm+uTK+G360OdF0yCtOZzqktoK8rAGgEAdHAUouD+7xtN+pWjdxtxZtDXVlgdVCNtlpWRsZvZcZjbOW3ijvG3U7wLzJyT3M1zHcTSSB8jnF0jpA0zhtTkvsPWHHLkFFby5g6Y5J7Q3bUQ1Prij8fpyoztch4GySTV1sXZ2y5OiU+pRythcQsam0jviRV5YTLqFN2SKr9ionupYbeRs87JZpG8oDCCKEgue8gAVoABWruJqKVXF+g9k9H653l0jf7W7dal0XobTGR99cje5+C7guJp7aNzcfjMbFfXd3ILds0jpbjsxjtKMYW8zmRc1VtF1SR4g6C27yL2m4Y1u3cgdDz2ouMlBPJMV7jbI3bSMejZdxGimThw9gKdWKmiqDN08ImV67dFTKACKJlaOBhtLd9xNQPkjLWNPSQ/gX06Q0NqASOJIoued08/Z94fdnT2zmhGS3untI6rgy2pb8RvbZ2smKMhtsQJXtaye8ubstM0UJcYYoi9xNJAzOQ4z7u5Q8D+EEfoiiPtiL0S+cqo+7jDPokC1FxbrlrhzX/AI8R0/brsySDOMXXL0IYQRT7Yh0MTta3Zri7x0AtmF5bJJWnGleSlfFXzVtb/XZthsZ3q9z7zdXKxYeLK4rS8ll1zJf8rbaWeRbcdQWxua8xvljYeIHO7lrVrqfFpfUjfXG3/Eo0NrqySG2WdT4rbho1UkIiLOo+tEyO4NExHocbBxTqXK6mV5RIrDstTKGdrIF7BQ6lTL8wQiOS7gjPPyxFoIHTSRg4Dj0+DpVTuVuDNrPbvZbdbWNlDp+5yGvMRe3Uc0oDLWH3ozk3PJPK2HlhbETPWUNETHnmJo55212++8h3+pb2NXsNCr3MTcuuNUjAcT9mwnFSL2FSHMBOIF2Vb01pePbO9gxd3jYlJeFhrQU0iwOosbuDGRTKlMPluTA6hYL+VrR1bmxBwoQXE1HlVoKNd5QqeBoCsfmntJ7P2m4GK9/bPLXndz03mcr1+qsbNqmXH3rZ4He9toRFI5mPlspJXsvLzGEW87WxjrWtleZNSdRo3Lvb3PzQCHLmBnqjYddLVW3TktZ9fV3W1fr+idKzju8TsowTqNcrlQWrcci1eNUX7dNVAXi5EBVEQKQsO1l3NkYxegtc2hNWhgEbKkmgAFAAaGlD0LIJqHVPd5287perZe73d2mRw+ZbdWkEVtkLjI3FxnMzAyygiebu4uLttzIXQyvgkc1/UsdKGAEuNjdG8zq7tm7+IHbo/jBxiZtUeNfIHZ4TiNHvbex7MYq7Qoa5Ifaa6+ylUZeKtBZor2WRZoRqqz5Ehk1ESAZM1Xb37J3XUvUQgmJzjwdV1Xt4O8vw1qaU49C4a3R7tmY2/wBMbR6evNc64kndrXAYzqDe2LrfGvGMvmmbFtbjQYpbXqTDaPmfcsZA9zXskcQ8RjymLsJv4cTdLZXGCj8Vpd3zVpjuHqFJotwoDK2Q5NE7HKe1qRlztFpfSaqblcGouUFSIAQhCCXteUdK5MnvV+chEBNw2gDXN5hyO4+WSTTzOC3xsS7SEvfLe/RWucprzHx7Z3jJru9vrS/fazHOY6lqJLO1tWRgtb1ojka55Jc4GnAaV8g1kuTCKwkL8mifpjD2VLJyH3JvtR6i82Hv1fXd3j+lTVnx9kEmvk0t9Mf+yq4m9yd7U+oncV+u7s59Kmk/j7HqveQa9J5Wx4Wafqu4N6RKOxpJjE6j1pCTW5dxvHy6SQqaz1wmhMWGJYoHORV/IWJQyEamil1VD0sVAAQIOVVnCyacCU0gaC5/tW8SB5p6BTwkLgHvLbiZ7bray4k0bDLcbhZu6hw+IYxpNMlkS6G3le4AiOO3HPcOe+jfzQYTVwW9hly745aKrvG59aZC3VaN2doDVV4r+ra7NWthAauountn773TUQTlCtpZtaX+ybtBwlKOwMcVnMe2UF8sRFRMxp5l7b2sULn8w5ogQ0E0aGSSPAqa83M4NZx8FSSOCxXXPd63k3TzGtLXAw4+/vcHq3KWVxk7iG1knyd9l8ZgsNd1i5onWseOsp73MtnA5I7iVgtY3SseG1B5qNCX7jLr5Rk321rlntTnLOTEdFcpBlqwrr1e66P1WM/HsrFanbp651BVLc/fFbS6qTZNNFNfqmbuhXWor0B9ozlD2h9w4gP4UqyOvE9LQa0cacOnjVXEd2i4dpPe7LsuX6fzNxgdrYIZJdMdVcjINss3lOokfb2rGsbl7q0ZAZLRjpHOe6Kj29YIo8K5NaVr5uDnFaixXJviDZrbxjZcm5y+V+q8iKRYJedS2PeoC11iOoMZHLrSNomHEbFqkO3BJAwLiUhe0A9oP28gaMbBGJYXPi6wuAkaT5TgRQA8VubZHczLjvRa81Tf6I3EsdP64l01BY3F1p+9t4oDjrGe1uZL+WRojtYWyStLZOZ4LKuPKRReVxv1PX9a7T4/8hF/EO0OXU+rFqncZFgvsW0xm3oWAjlGk7ctTRGkZFoawqlnHqLmKMi0MozeNlhcmTMJwbG0rOBkUsV4biIRMLXHiecU4loZSp41HCrSDWvGirt59f5bWuhNXbQxbP6rOv8APNu7OORuPtZMTNPIHwWeVlzUbxbgwMMd0Hyhs0UjBCHjlM7cQ0RsfY1t3Dyl2Px35SaN4uNtkbPmbITW2+5qvV2sWuk2a22qxxhyoXioW3WzyRowO26STcwC/IVdUyAlAoAt8W0kslxLLbSRwh5ryvIDSCSacQWHl83j/B8K3Furo3Run9utCaN3h0LqnXU2FwcNscjgobi4ubW9trS1t5QXWV3aZFkd9ySPdIKQExsEtSSYsr5TchG+0998Sta1LlCzCR0JEoRU9y6euJ5vWT7fulh+57pa4BaHi/T29EgpJJpHxyqbZFmRsl2R7pgmCoft3cmaeGJktTEKdYa05i4uc4GnNytJAbwHBvDhRQOxO0M2hNqNwda6g0NJ2PVlw6WDSbGwOuRibO37NZ2s4ml6t19PGZbi4a6R8zpH1HPdPLFnXKPkZdq3xK2Zp3cPKjU3Jvbe+7jr8raJ0RK1KX15rPXuupxS5yVilZShVOq1t1e7/a0mKTlNRJV8q2ZpKqq9pMSZr3d1Ky0fbzSslmlc3gwgta1tSSeUBvM51K9JoKk9AW1di9m9MZrvA4TcbbrQeoNEbfaTx1/zS5yK7hyGSyGQgFnHbxRX91dXLbGwtTO6NzXNhbLNIxkdHhygfX9OecN+L+7NkbUMxgtt8rdQNdP6R1mrJs17WOqb+/grFe9o2eGZruXFbg30HEtmsWDwqLtwuc4d2RI3aNSxtdZ2skknCWaMNY3hXlcQS8jwAgUb4TUmlBVcrat1Hbd4/fLTOjNBiW62+0DqJ2XzWSEb22vvpYRz29jjLaZ7WtuZ2TyyS3RhL4o4w087nt5RLsdxS21yu4n+G3G6zqcrZKpW3G9qttKzwq8SdHXjSz8kZZ2d/MkfPm5kFG1dVO/AolN1QKBhDoYvWoNnPeWdqIGlzQHBxHENJkJ4+Lga8fAuPLzfzb/YPf7ei91vkLeyz96zB3WLtpmyg5B9tp2JgjhLGO5g64DYCajyyWg1Bp5/GytW6hUTm5VNHIzO6rHqXltw/R1aSvRaki+vSWsNu73l4eUjoiNGeRQYy7eDNIrAkLls3RUUVMY6ZTHH5tmvjgnba1ke24i5SBXm5esoQBXppWnFVm9Ob09qvVW2Of3RdbaZw2oNvtXOyZuJRGyxOTxODhmiklk6gufE6cW7C4RySPaxjWteWtGzbfdk5IOtbWqkcYrdri+8hLHtmI2ZddHTtY4eLbU0Trx5S3Kv7uZypto1zWtk2hjb5RQ55cEHcuiwBEhykOsqdSVuX3BiMVqY33LpOZzOWHmYKHyS2nlmpNSAXCgqBUhWRbUYXZiDWlhqffDHZnE7Q2Wn5sbZZuC51cMXnMgy8aPfGC7dI25x1s+0iaBac8Vo+frHNLmxxtZrD4vLb7Z86tg8puV8VYK7aOOWvrduTcLu7UxChul3LbXDyhayhkoCMhq9FovLZLPo1GNTaN0iyLdFRRATiIqDFWr7huQdeXYIkiaXu5hy8eWjBSgoXOLQBwrWqvh3zj2oue6xiNidgp7S8wWssvaYfEMsrx181rXZFl9kpjPLNcSuZaRMuX3LpZHG3kexkoaByKReOvJtrduMXNl/B8OeJrWQgIjje0Z0Oqa62KEBsl/bt8wNbjYm3RCu1H8nNjFPXZHUWmzcs1CSAEMcVSdUh1rW7Y60uSIIRRrOAD/KrI0UPlk+aKU4+PoWzt49kJ9Mb4bY2mU3G1/JZ3dxqJ7766yGP6/HR2mCnuZJbSYYuOKHrWMMV06aOZrrcuDRG7yxFXiHkt7fi/wTZ37SFZ4521Kb5XrP9S1SrWKlRUG0cWbUpY6USrdrnLDOM/j6KAuDKKOTJrqCcxAKH4Q0sjz9itxJEIX80nk0c3h5HGjiTx/3lv3ufO09Nvlupc6T1Re6y0+610qI8rdXVveyzvbbZXrIjc2sFvA/qC4RhrYw5jeUOJPE6ichlkKUvUD5M5+preys8lLH3I+29YLpZ/vG313dLfRXjfj7UqznKxYBEwiYRMIoOuH7RyP6p7C1yHuv0h3oeoF39fsTv7MfbP8AaL+ledWM5TrKkmETCL7m8pJtGchHNJF81j5cjZOVYt3bhFnJpsnBXbMkg2TUKg9I0dEBVIFCmBNQAMXoIdcKlmsbK4uYby4hifd25cYnuY1z4i9vI8xuILmF7SWuLSOZpoajgvTjrbaoeJk4GJs1gi4OaAxZiGjpmSZRMsU6XcHLJxzZykzfgdH8AgqQ/Uvk/JipHAdCorzT+ByN/BlchY2c+UtiOpmkhjfLFQ8w6uRzS9lHcRykcePSsewpdf2BzgQyYHMCZjEOZMDD2DHTA5UzmL17ImIVQwAP5QAw/wC6Ofi/OVpcHkDnAIB8IBpUV8RoK+Og8S/jP1fqYRZNYbrcrcbt2u22azn9MdyPbsM9KzRviD8ESvn/AGpJ05H0x6VumCqv+WoBC9oR6B0ElxqeJUJh9M6c083lwGPsbFvVsjpbwRQjq468jPzbW+QzmdyN/FbzGgFSvgbT86ziZGBZzUs1g5g7dSWhW0k8QiZRRosk4ankY5JYrN6ds4QTOmKpDCQ5CmDoIAOKqrmxOKuchDlri2t5MpbhwimdGx0sQeC1wjkIL2BzXOa4NIqHEGoJXwunjt8qVZ66cPFiN2bMirpdVwqRpHtEGDBqVRUxzFbsWDZNBEgD2UkUykKAFKAAVVBb29qwxW0bI4y97yGtDQXyPdJI4gADme9znvd0ue5znEkkrIU71d0msuxSuNqTZWBFFvPM07DLkazbdu0JHt0JduV4CMkigwIVAhVgOUqIAQAAodMAkcB0KHfpXTD57e6fjbA3Vo4ugebeIuhc55kc6J3JWMueS8lhBLyXHjxWK4U8mETCLJqf+0cd+t+wusqLX9Ib6PqFYrftsf7Mfcz9nf6V4JTjkwugUohv/wA5bfTEfanmRd97qPa+uV3TP3cn6kWqfpUyXxDppYNlGs/aYRfcvKSbliwi3Mi+cRkWd4pGRy7twqxjlJA6Sj87BoooZu0O+UQIZYUylFUSFE3UQDCpYrGygupb6GGJl7OGCWRrGh8gjBEYe8DmeGBzgwOJ5QSBSpXpv7bapWHjq7KWawSVfhxKaJgn8zJPIeLMRM6RDR0Y4cqMmQkSVMUBSIXoUwh+QRxU0p4FRWmn8DYZGbMWNjZw5e4B62eOGNk0tSCesla0PfUgE8zjxAPgWPYUumETCL+yHOmciiZzJqJmKdNQhhKchyiBinIYogYpimDqAh5QHPxfjmte0seAWEUIPEEHpBHhBX8Z+r9TCLJo663KHijwMRbbNFQai8i6Uho6elWMUo5mGDeKl3B45s6SZnXlItok2cnEnaXbpETOJiFAAVNKeD2elQl5pnTmRvxlchj7GfKNZG0TSQRPlDYZHSxNEjml4bFK90kYrRkjnPbRxJPjR0jIRD1tJRL97FyLNQFmchHOl2T1qsACAKtnTY6S6CgAI/iKYB8uFJXlnZ5C1fZX8Uc9nI2j45Gtexw8TmuBa4eYQQv1dzMxIGkjP5WSemmZIszMGdvnTk0rMEF8JJWSFZU4vpIgyjnour21Q9JV/F+kP1VK07fG460ELbW3gibbQGGHkY1vVQnkrFHQDkjPVR1Y2jfzbOHkNp9MZZbHCCzNDT83EDHP1JWPGMlXzAWMoq3K0VkmYtF0hav1GhCpGWJ2VBTACiPQOmPN8K0b7C4bJiQZK0tbgTRCKTrYmSc8QcXiN/M080YeS4MdVocS6leK+WWl5aekXUvOykjNSz05VHkpLPXMjIuzkTIiQ7p68VWcrnIkmUoCcwiBSgH5ADHTxPStfH47H4mzZj8XBDbWEQIZFExscbASSQ1jAGtBJJNAOJJ6SvOwqxenC/OYn6mw9qSzUh91b7YeqrVu/V9SLeP6K9WfEOQVhMnF5sKjPYn8T/yh/Acj7/8AI9H1l2pP3Zv/AG1/sf8A6UqNMj12o0wi+4JSTCMNChIvghzviSh4kHbgIw8mk3UaJyJmHeeimfJtVTpFWEneAmYSgPQRDCpTY2RvRkjDF74iIxCXkb1gjLg8xh9ObkLgHFleUuANKiq9MLbai181SCzWAKqdf0k9ZCZkgr5nILFcg4NDA5+GmX9IKCnbFPtdsAN16+XFTSngVEdP4E5cagNjZ+/wbyi56mPtAbTl5eu5es5eUltOalOHQsewpdMImETCL+znOoc6ihzKKKGMdRQ5hMc5zCJjHOYwiYxjGHqIj5RHPxfjWtY0MYAGAUAHAADoAHgAX8Z+r9WSQVyt9WSdIVi1WSuIPnUc+fIwU5JxCTx7D+mfCXjpOPdNyOHUX8QcejKHATod+p2BL2zdf0EgUB4ewobK6c09nZI5c3YWV5LFHIxhngimLGTcnWsaZGuLWy9XH1jRQP5GcwPK2nhEcuE3BXhHCxHZFgckdEVOVwRwU4KlcFXAwKlWKqHaA4D2gN5evXPnzFKuhhfCbdzGm3LeUtIHKW0pylvRy04UpSnBepI2Wxy7yTkJafm5N/NNWzGZfSMq+evJZkyOwUZtJNy5XVWftWikU1MkmqY5ExbJCUAFMnT9qT0qgs8LhsfbwWdhaWsFpbPc+FkcTGMie8SB74mtaGxueJZQ5zQC4SSAk87q/KymJaNTVRjpSRYJLOWLxZJk9ctU1XcYqdaNdKkQVTKo5j1lTHQOICZExhEggIjha9zjsfevbJeQQyyNY9gL2NcQyUBsjQXAkNkAAe0cHgAOBAX1T9lsdqfBKWifm7JJFQTahIz8q+mHwNkjHOk3B3IruHAIJGVMJSdrslEw9A8o4JJ4npWhicLhsDa9hwVpa2VkXl3VwRMhZzGgLuSNrW8xAAJpU0FeheJhSaYRWXzcC8rhYNf/AJM2+po+yvMo773Ie29YrP3+7k/Xd1T9FeS+PtNKIci13TEwi+5vKSbRnIRzSRfNY+XI2TlWLd24RZyabJwV2zJINk1CoPSNHRAVSBQpgTUADF6CHXCpZrGyuLmG8uIYn3duXGJ7mNc+IvbyPMbiC5he0lri0jmaaGo4L04622qHiZOBibNYIuDmgMWYho6ZkmUTLFOl3Byycc2cpM34HR/AIKkP1L5PyYqRwHQqK80/gcjfwZXIWNnPlLYjqZpIY3yxUPMOrkc0vZR3EcpHHj0rHsKXTCJhEwi/s5zqCBlDmOYCkIAnMJhAiZCppkARER7KaZQKUPyAAAAeTPxfjWtYKMAAqTw4cSak+eSST4yar+M/V+r2oSyWKtKPlq5PzUArJsDRckrCSj6KUkIwzto/NHPjsV0DO2Bn0egsKKgmTFVBM/TtEKIASKgdBUbk8Lh80yKPM2ltdxwS9bGJomSiOUMfGJGB7XBj+SSRnO2juR721o4g/DISMhLPncnKvnknJP11HT6QkHK7189dLGE6zl27cnUcOV1TiImOcwmMI9RHCqrOztMfax2NhFHBZRMDWRxtaxjGgUDWMaA1rQOAAAAHQvTe2u0Sbls9kbJPyDxnELQDR29mJF25awLhB61cQjZddyoqhELtpFwmdsUQRMmuoUSiBzAKpVDa4DBWUD7azsrSG2kuBO9jIY2tdO1zHNmc1rQHStdHG4SEF4dGwg1a2nltZB+xK7Kxeu2ZX7RSPfFauVm5XrBVRJVVk7BE5ActFFUCGMmftEExCiIdQDCrp7S1ujG66ijkdFIJGczQ7keAQHsqDyvAc4BwoQCRWhK9adttqtBWBLNZrBYixSBm0WWdmZKXLGtjgkB27AJBy4BmgYESdSJ9ko9gvk8gYJJ6VQYrT+BwRldhLGzs3Tu5pTBDHF1jhWjpOra3ncKni6p4nxlY9hS6YRWEhfk0T9MYeypZOQ+5N9qPUXmw9+r67u8f0qas+Psgk18mlvpj/wBlVxN7k72p9RO4r9d3Zz6VNJ/H2PVe8g16TyYRfc9lJOTKyLIyL6QLGMUYuOK9duHZY+MbqLKoRzIF1FAasUFXChiIp9lMpjmEAARHqVLa2NlZGU2cMUJnlMsnIxreskcAHSP5QOZ7g1oL3VcQ0AngF6c7bbVaCsCWazWCxFikDNoss7MyUuWNbHBIDt2ASDlwDNAwIk6kT7JR7BfJ5AwST0qixWn8DgjK7CWNnZundzSmCGOLrHCtHSdW1vO4VPF1TxPjKx7Cl0wiYRMImEX6KrKrmA6yqixypoogdU5lDAk3SIggkBjiIgmggmUhC/kKQoAHQADPxfDI44m8sTQ1pJNAABVxLnHh4XOJcT0kkk8Svzz9X2skgrlb6sk6QrFqslcQfOo58+RgpyTiEnj2H9M+EvHSce6bkcOov4g49GUOAnQ79TsCXtm6/oJAoDw9hQ2V05p7OyRy5uwsryWKORjDPBFMWMm5OtY0yNcWtl6uPrGigfyM5geVtPCI5cJuCvCOFiOyLA5I6IqcrgjgpwVK4KuBgVKsVUO0BwHtAby9eufPmKVdDC+E27mNNuW8paQOUtpTlLejlpwpSlOC9SRstjl3knIS0/Nyb+aatmMy+kZV89eSzJkdgozaSblyuqs/atFIpqZJNUxyJi2SEoAKZOn7UnpVBZ4XDY+3gs7C0tYLS2e58LI4mMZE94kD3xNa0Njc8SyhzmgFwkkBJ53V+RnKykcm4Sj5J+wSeC1M7SZvHDVN0LFym9ZC4IgoQq4s3iRVUu0A92qUDF6GABz8VRc2FjePZJeQxSyR83IXsa4t52lj+UuB5edhLHUpzNJaag0X1z9lsdqfBKWifm7JJFQTahIz8q+mHwNkjHOk3B3IruHAIJGVMJSdrslEw9A8o5+kk8T0qnxOFw2Btew4K0tbKyLy7q4ImQs5jQF3JG1reYgAE0qaCvQvEwpNS9QPkzn6mt7KzyUsfcj7b1guln+8bfXd0t9FeN+PtSrOcrFgETCJhEwig64ftHI/qnsLXIe6/SHeh6gXf1+xO/sx9s/2i/pXnVjOU6ypJhEwiYRMImEV2eFXBLcHNu6u4SilbVukVxRqN52ZON11YGtpuup0WDNsiZJawWV4iQxm7BE6fUodtdVBIe8yRx2NnyMnLFwjH4zj0D2T5n4aK2XvMd6nbrux6ajyeqS+91Peh3YcbA5onuS3g6R7nVEFsxxAkne13E8sUcrxyLpL1J4KfBCuRy8da0bXu+wxC6cfZH01sCVgEWMyLRs9UZ/BNcSNaWhO21dpLEbOnDlwVFUhhUOBgMO74dOY6NtJQ6R3jJI9JtPXWFHXH2oHed1LkHzaVuMXpzG8x6uK2soLp4b4Oslv2XQe+nS5kcTSeiNvQvF3P4FnEq7Qzz90b+7aUs5UTjFrt56QvdVFx2R7ATELb3j2ddICboH+bSzUxfy/i/yR07jTdjI38wXRv8/mHog8fTCndtvtTe8DpjJR/wCsKLGamwZcOta6COxuuXw9TNaMZA13/nLWUHo8npXMNyj4q7c4ibMd6y21EIt3Z0TSNbssUdZ3V7lBCsZFKarsgqi3UVRBQgkWQVTSdNVfwKplESibZ17ZT2E3Uzjj4COgjxj+7gs4mxe/O3veF0THrfb+4c+3DurubaUBlzZz0DjDcRhzgDQ1Y9jnRSt8qN7qGlbspFzOmETCJhEwiYRZNT/2jjv1v2F1lRa/pDfR9QrFb9tj/Zj7mfs7/SvBKccmF0ClEN/+ctvpiPtTzIu+91HtfXK7pn7uT9SLVP0qZL4h00sGyjWftMImETCJhEwisjxc4q7c5d7Maay1LEJOHZESyNkssqdZrV6bBAsVFWasUgki4URRFQwERQSTVdOlfwJJmEDCWrsrKe/m6mAcfCT0AeM/3VXDG+m/O3vd60TJrfcC4cy3LurtraIB1zeT0JENvGXNBNBV73ubFE3ypHtqK9NWk/BA4b09uEPtawWfeF9ZMGD2xMlLS5o8MxJIC4TZumVYpsgzs8bHPVWS5UVHkm574UT9kQ7JihvG303Yxt/Pl0j/AD+UegBx9MrB3uT9qb3gdT5KT/V7FjNM4MOPVNbBHfXXL4Oumu2Pgc7/AM3axAdHldKzjZ/gf8I7nEOW1FiLzp6aFI4sJWs3WdtDNJz0HuhkYnYL20GfMym/y00XLRU4eQFSD5c1JtOY6RtIg6N3jBJ9J1fWUFof7UDvO6ayDJtVXGL1HjeYdZFc2UFq8t8PVy2DLUMfToc+OVoPTG7oXNLzV4Jbg4SXRnCXorayUixqOho2zINuulA2RNr2TrMHjZYyq1fsrNE5TOGCx1OgD20FV0gFTNn5HGz46Tll4xn8Vw6D7B8z1Vmt7s/ep267zmmpMnpYvstT2Qb27GzuaZ7Yu4NkY5tG3Fs9wIjnY1vEcsscTzyKk2R6ubTCJhEwiYRMIvThfnMT9TYe1JZqQ+6t9sPVVq3fq+pFvH9FerPiHIKwmTi82FRnsT+J/wCUP4Dkff8A5Ho+su1J+7N/7a/2P/0pUaZHrtRphEwiYRMImEUqaW0rsjkHseu6p1RXHNmuVlcGTaM0jFRaMmiBe8fzEw/V6NouFi24Co4cKiBCFDoHaOYpTa1vbzXUwggFZD/dU+IBbD3L3L0ZtFoy817r69ZY6bsmVe8+U973cI4YYx5Us0rvJjjaCSeJo0OcOnPQHgY8baa2iGvIq9zG1tkyEarKOajXrAek1FJq0O1SkTRLNiLe9TjOMdvUkVJAXbNMwqE7TZExwLm8rXTNrG0G6cZJPEDRvsnz6jzlg13d+1Y3a1Bk5bXaCwsdP6ca4iKa5iZeX8gHAPeJC6zi5hxMTYZuQ8OvkHFWKu/gocCrTErMK7RrnrV+dISozlR2RbpR6ir2ehFTNb/JXWKVL2/KYvcF6h1ABL5BCqk07jHtoxrmHxhxP/jEhcUaY+0071+CyDbvMZTG5q0Dqugu8daRMIrxHNYR2Uo4cAec06SD4edrnr4Z+1+EztC0BIF2RpWZkAj4jYcdHqMHULIL9s7SCu8MCzssNIOCkMDdymqqzedn8J01R7gu1Mnh58ceevPbk8HeLzCPB6h9JZiO6j32dA95u3fgzCcLuXbQ9ZNj5JBI2aNtA+eymozro2kjrI3MZNDXi18Y60608iFeqmETCJhEwiYRMIrL5uBeVwsGv/yZt9TR9leZR33uQ9t6xWfv93J+u7qn6K8l8faaUQ5FrumJhEwiYRMImEWTUymWrYlrr9Go8DI2e3WqUaQtfgIluZzISkm9UBJu2bph0KHUR7RznEqaRAMc5ikKYwfccb5XiOMEyONAB4SoTUmpMDo/AXeqNUXcNjp6wgfNcTyu5Y4o2CrnOPpBoBc5xDWguIB6YeOPgW6tq1ch7VzB2G9k7HJKxqBqFTp5pV6fEyMsui0YV+StrhE0xZ5hy7XIgUGB45MXJ+7SM5DsKH3hZ6ZiDQ+9cXP/AILeAHnnpPoU9FYQt8ftW9W3uVnw+wuNtbHARuLW5C/jM11PTh1kVrzNgt2Hpa2cXD3NoXNicTGLu2HwXfD9molSOjdWWeovDpCmWer20NguZZI4gPRdNG12CzwYql6+QDMjE8n+Tki/T2Lc2gYWnxhzq+mSPSVtmI+0q73GNvxeXudschbh1eouMZj2xEfwSbW3tp6edMHeatEXPvwj9h8TYWQ2trOcfbX0kyUKM27cMUm14oCCypUUHNoZMCgwmIIVFCENKMyIFTUN+nbIE7Kh9s5TBS2LTPCS+38Pjb5/jHmj0QFlV7pn2g2j9/8AJQ6B1taxYDc6Vp6ljXl1lfuAq5ts9/5yGegJFtM55c0fmppXVY3TxkCsiyYRMImETCJhEwisJC/Jon6Yw9lSych9yb7UeovNh79X13d4/pU1Z8fZBJr5NLfTH/squJvcne1PqJ3Ffru7OfSppP4+x6r3kGvSeTCJhEwiYRMImEW+bg/4K9l3NVYfbnJiyTWrKFNM0Ziv0WCSZttgzkKsmDlvMTkhMNXsbS4x43EqiKSjV09VRMJjla/gMfc2N08+4YJ7slkZ4ho/GI8Zr0fgJ85Yo+9H9pjgtss3daB2Ws7XOaptHuiub+4c44+3laeV8ULInMkvJGOqHvEsUDHCjXT+UG7fITwdvDofVtkdhq2RsSEgxbuWFuS25sh0vINnCIKN5ForEW9vW3KTlM4KEOm1FIwCAlDsjk8NP4oNp1ZJ8fM6vq09JY6bj7STveTX/bI9RWsVvzV6hmLxhip/Bq+1fPTwe7V82vFa5OX/AIE4QFelr1xGtE9YXUW3Xfu9QXhyxeS8k3SIZVVGkWtq1jE3D5MheiLCQRE6/l6PBU7CR4i/01ysMti4kj8g9PoH1j+FXpd3f7VE5bMW+le8JY2lnBO9sbMtZNeyKNxNAb21c6QtYT+PPbvozhW2DOZ7ecF4zeRzx1HyDVyxfsXK7N8xeIKtXjN41VMg5aumy5SLN3LdYhiHIcoGIYBAQAQzaRBBoeBCzNW1zb3lvHd2kjJbSVjXsexwcx7HAOa5rmkhzXAgtcCQQQQaL5sLWTCJhEwiYRMIpeoHyZz9TW9lZ5KWPuR9t6wXSz/eNvru6W+ivG/H2pVnOViwCJhEwiYRQdcP2jkf1T2FrkPdfpDvQ9QLv6/Ynf2Y+2f7Rf0rzqxnKdZUkwiYRMImETCLuSo9dkfDw8PmusNUaSuO7trwtXqxWesdexDh3PbK35tB9CwiSlilW7ddOrUhvdJ5AszYX/VnWauyUdODdwyEM5Rx1q2zs2QNHHlqfNcek/3eCi6jXeZ3cym929ue15kJXSWMt7JBZMJq2Gwt3ujtI2Dob+bAkk5QA+aSWSlXlaRKXCch+GOnOfF42VTtycp6hZ67yo2t4pOr7Dd5XjnPU7lPT9EWfkJXd98VN6VCSLZkuJe6Nb1WC1/EpwUo/n6c3YQCqbJvJNp6OCtXAyqpoOtPtTcgJK07m4x2C40+e8QfgloqIrtX8Z/xG7C74al5Y1Ljs+1fVZCnXDXldrfKAq6OwCXuYXkJ5Zg4LNjBGI0TaHRwi6TPF24/Qe7uGWxLAqwRPctJMHG1KhL90UXTJpBFTVu0cKwB3wx0rUE3JlEgMBDOmzZUwCKJchs7atuce91PzkY5gfO6fwj06K+X7PTdzKbY95LD4iOVw05qeVuLu4q+S985IspKdHWRXZjDXU5hFJMxpHWFcQ+cdLs8phEwiYRMImEWTU/9o479b9hdZUWv6Q30fUKxW/bY/wBmPuZ+zv8ASvBKccmF0ClEN/8AnLb6Yj7U8yLvvdR7X1yu6Z+7k/Ui1T9KmS+IdNLBso1n7TCJhEwiYRMIuzvw3NeVvh54c6O7VqRcbpabfQZnkJdYTWdQkbzs27sE4h9M0qm0aqQyK03Zpk1QSbIxsYh2hWknqwkAormHORcFattsex9Pzkg5ifP6PwD06rrDfaF7uZTc7vJZjESSuOnNMSuxdpFXyWPgIF7JTo6yW7Egc+nMYo4WEnqwqA8fqRzarXMHa/Iq40PZ8zyO5JSmnW3NviRMSMOz1Kx4S7PVW1/x7f8AEzdyEihEJbF4OGVnAv0cpJQzmxSMnZn6bMpXVberTKsaWliHtqbaq7X5rSvDu3znHplwG0Jy8gOKLTx0/EziL9rjV9wv+5q243TI7FPrRy0vVs2rMVr4KnWCTjVCvI1YXBkDjJA6MRdtPMDjVVt/cUdhaRUjAWO0pKq+uFnSrmRfQVyp8UotSH6Ui/VdSayxXjUjV0qdUzh0zcLpnObvTiNFkbVt5ZvgcOJFR5jh0H+7wVXPPdm3cymyO9uB15j5XR2MV9HBesBo2awuHtju43jod+bJkj5gQyaOKSlWBcAGcXLtyphEwiYRMImEXpwvzmJ+psPaks1IfdW+2Hqq1bv1fUi3j+ivVnxDkFYTJxebCoz2J/E/8ofwHI+//I9H1l2pP3Zv/bX+x/8ApSo0yPXajTCJhEwiYRMIutrwK9CwFD422nkY/jBd2/a8/OxcdIoszvJBpr6hvFIsImLSSTVdmWlLcxkFXCaIdXQt2pRKJkS5vnTVq2O0N0R+ckcRX+9HCn4a19DxLr4/aqbuZTUe8VntFbSubpvTtlDPLED5L7+9j64yPA4O6u0fAyKoJZ1k/KaSkKo0q95t7B5lJeITAaw3pRORbvT0w64bcQdiV9rBat21wFpVpbOt2cfNozEl6WvoTnbuiYk4TYDUsylDljPQq5BqOHqUZY0m25VivVANgwMrtPl/Zb1SeK1nYapgJvxQ6u40DPeNH4iGurbyEtnC/eNIp+z92LSNFol/o2kInViS6icbRoaYbsZNS3l7h27bxJU0yLqf4vVrUvKbw1OOsebX8tU9R8iuJGo7ghrqy7FtW47FSofbWtK/emcM72xsFRzc77Y6c7nydzYJISv3TxqR2YqaggUulPDHcQuglFY3Ch/u8zpC3foDXGodtdaYzXulZjBqDFXkdxC4E0LmHix4BHNFKzmilYeD43vY6ocQuG7YVMktc368a9mDFPL0S4WWmSpyFEhDyVXmnsI+MQhhExCmdMTCACIiAZxTLGYZXRO/Ga4g+gaLuG6Q1JZay0ni9X44EY/K462vIgTUiO5hZOwE+E8rxxWH58LcSYRMImETCJhFZfNwLyuFg1/+TNvqaPsrzKO+9yHtvWKz9/u5P13dU/RXkvj7TSiHItd0xMImETCJhEwi6SvAD4/Qcm727yXnGCL6Wrj9rqugrrJFUCHdvItGdvMi37wDAlIuIuSjGqapOycjZdyn1Eqxgzdul7VrjJeOFXA8rfM4VPpUH4fGsLv2tW7mUsbfT2yeLldFYXsTspftaadcxkroLKN1OmNssdzK5hq10jIX05owVKHihxu3+Ve4KfreWieTHH/iJxY3RqqVNyI1tQQl5yz84LWyYvOMmykaNNIrL7F4g8YLpaIeRtEi1j5iPkbq+ZIropx9dmnjfeKwhrWf4itl5DbhtsFU9xcaVNJcpdZ6/wCGlt5Kbxg/Es5faR1nY61fOe9+4n12oaZ0bx6rWzKqlEcrXWtU0I61TUWWdqcTeEFn7XvIgrsCLeB4STakWLV3MfWD3jfKaKmNT8rLjxs2/ry0czt889IC2ycFpbT1ydzMRs3kUwirHH1uUhNtFj1IVuwQZAo1VXETncnAv45rXNLXCrSKEeYqzH5C+xN/BlcXNJb5K2mZLFLG4tkjljcHxyMcKFr2OAc1wIIIBC5a+YulG3Hbk/urTUeKow1Luz5Gt+kHMo5LU5pBtZKkR0qcRMu6TrUw0Kqp/wDeKAJvJ1zi2/txaXkluPxWu4eceI9Ihduju5bmTbxbHaZ3Iu+X3yyeMYbjlADe1Qudb3ZaB+K03MMpa38ltB4FWnKRc1JhEwiYRMImEVhIX5NE/TGHsqWTkPuTfaj1F5sPfq+u7vH9KmrPj7IJNfJpb6Y/9lVxN7k72p9RO4r9d3Zz6VNJ/H2PVe8g16TyYRMImETCJhFsc8Kfj9B8ieZuv6/bGCMtTqGwltq2iJcplWbSrSomZJQsc8RUAyK8c6t8rGldJHKYi7XvExDofJbCWrbvIMZIKxtBcR46dHpkV8xWa9/XdzKbO923L5fASut9R5WWLF2srTR0T7sPM0jCKFsjbSK5MTmkOZLyPB8ldLHiiWLkbbNTBxS4w6421L27kZUNhNNlbi17Ht44mmNA1iMYJbZGj3WekIGoI8nNlw9gTrmtYl3JMuszIKTKyqTGFdnzkhdWtaXba22HVeLnFXiiy4437lJom+7i1Jqzww9p2nltvfw8bRW9cbM4/cir5Dae5Lk0Yyittvdg8VIzQA19wzfxAR9hiJKKdOXKMw1dnWIsm8DNdhXtvcYqPd9UWSwbF2l4dNk5NVXmMn4jvMrkVWd7Qdd2HpPV1pnpDivvuia1penJG8TGyfiTIhGKz6FatTMy9rv1FxIo68c3j9B6q5M1nalYYIxkXvusyE3ONG6RUW6l/qT1pHWiTRTTAqRBmIyVi3K/QO0o9UXWOImVHNh6ktWwXjZ2CglFT7YdJ9Go9Gq7FH2W27mU15slfaDzkrp77Sd9HBA9xq4WF2x8lrGSak9TJFdRx8aNhbFG0ARhaTM26smyYRMImETCJhFL1A+TOfqa3srPJSx9yPtvWC6Wf7xt9d3S30V434+1Ks5ysWARMImETCKDrh+0cj+qewtch7r9Id6HqBd/X7E7+zH2z/aL+ledWM5TrKkmETCJhEwiYRf9B9GXp3KfiQnOBDTl2qO59KhJLVilXeX11aZwJ+sekOqrAX+u2amzVGs4yJjsCSDeXjF414Xti5QFMTl5Yt5m3EDJmfiuaD+ELps7maKyW3G4eb0Hl2OZkMTk7i1dzCnMIpXNZIPGyRgbIxw4OY5rhwIXNLobidWuYkH4pFq4yxvILjpVK7wi314fla458reV3IC+2ZPlpuPSruX2pd+QNe27vDdTXXdZ1kaxwVar6jYoMpJMsxOoi+aHh3JdZbHXwajPA7/uScDH2+vVCw758W/gnyN0DaL60tda1ZyG0l4bdY4zaY2ilpHbC9aXpGwthSsvxwtTyv19q7B1MwxG0m2E0euLhMi6HfEp2VDau4OcjpaYcIpGs+t57WsQ3UOUFn8zstopSWjdomI9pdZulNKOjgXqJEG6ig/hIIhG5eZsONmc78phaPPdw9dXSdyvRWS113otGY/HMc5tjmoMlK4DhHDjXi9e556GhxhbECel8jGji4BcFmcZrtdJhEwiYRMImEWTU/8AaOO/W/YXWVFr+kN9H1CsVv22P9mPuZ+zv9K8EpxyYXQKUQ3/AOctvpiPtTzIu+91HtfXK7pn7uT9SLVP0qZL4h00sGyjWftMImETCJhEwi7yPDlvlc3JwN4/HaKkctYnVcVqexM27lZu6ZyGv44KFJNF1WiqLxg5dNYkjlMxTkU7lwmqQQAxTZyZiJmzY2FzfyWBp89vD1qrqi99TRWS0N3otZ4/Isc0X2anyULiOEkOSeb1jmHocGmZ0RI6HxvaeLSFpq4g8ftT7H8UGGgdN0Xl7xSaeH9X7Dd+Rmt998yeSW0rPuXZW0Xlu1/oeHr9Rv3Jfb9OsfHtpSoKUuS1mjkDNpd9IQ8X35TtZpiEkrW1rUq+rF0+MnJziBcbxQ6vbZfw8+IXg+a53pIuLU44oSfLvUVo3NtzaGvZbkRG1R9SawDeR39Aw0co8Ml8UsBHcWiUZFoo1wi7Yt17KhtN6i2XtSwOEW0TQKTY7S4MscpQXUiYty5ZsEgMId67k3pE26CYfiVWVKQoCYwBmjcTNt4Hzv8AxWtJ/AFvjbPRWS3H3Dwmg8Qxz7/L5O3tW8oryiWVrXyHxMjYXSPceDWNc48AV/zlc4nXcmTCJhEwiYRMIvThfnMT9TYe1JZqQ+6t9sPVVq3fq+pFvH9FerPiHIKwmTi82FRnsT+J/wCUP4Dkff8A5Ho+su1J+7N/7a/2P/0pUaZHrtRphEwiYRMImEXZ54Imyoa5cHK7SmbhEZnUV2vVWmmXbKDpNOx2OQ2FFvzpde36I9RtiiSSnTsnUaqlAeqZunIGnJmyY0Rj8aNzgfRPMPV9JdbH7TzRWS053orzU1yx3vbqHGWN1C+nkk29vHj5YwejnYbRr3N6Q2VjjwcK669p8cNO7X8UPV3FfWlC5gcZNpVzcc7zE3Xta780OTLqkbn4660mK5Yo6M4zURxyctGtpuN3HuC4MoebYNYBo4okBDyaR2Uas6hlTTyx3qD5AInj9y63zE7fskOypGnYzxe5u/7XqzG03jVulLX4t/Kut3/jTD71ulZrshF6jKjq3VD1/ancqKTWsEdsjPlCNnrZwci6RuDuvn3HfgVxA1VfJ+pu5LRnETj/AK+udprE2WXorl9rLTVSrlin69Y1W7EknU1nEIs4aPjJIgszEiokJ2ugfhIaC53ABVNnZ3WQu4sfYxvmvp5GxxxsBc973uDWMa0cS5ziA0DiSQAuFbet6abQ3fuTZbAhkmOxNq7DvTNM5BTOm0ttul59uQ6ZuhiGIjIAAgPlAc4ouZBNcyTDoe9x/CSV3Gdq9LXGhtsNOaJuiHXWHwOPsXkGoL7S0hgcQfCCYzx8KirNFb8TCJhEwiYRMIrL5uBeVwsGv/yZt9TR9leZR33uQ9t6xWfv93J+u7qn6K8l8faaUQ5FrumJhEwiYRMImEXVL/8Ax9tlQzvUO9NPC4RTsNf2Qw2URoc5SuHkNcKxDVdRw3II9pZGOfUYhVhKAgkZ0l2uneF6700tM0wSwflh/N6BAHremsDv2umislb7h6W3FDHHD3eFfjS8CrWTWlzNdBrj4DIy9JYD+MIpKfiGnn+NjWNRw0lWZSW0fyQmN58h4KtcduO/IGs8teRWj+K1A35dLuxpWtYffUHqDknq+ErRIsLm5shZJ7BiWytYY8Kk+UkTsWh91LEGqpc2eK89xq2Vx506xttt3o22LofwtuPUOirIWfbXJrYUZ4d/NfaHN3lJt+doka1mrRLwyWsY9uo3XSOdsvPyDeHQKkoqySVItwnhZRkFLQ3N3fNLv9G2Jrflhzz2TyB1tJ02TknMlB1l1pbj9qh/T9lwEzDwk1QNp1m5aolm0xXnqAPYsxUyOAIuKiSZFy5+JJsqG23zj5GXWvOEXkMpdm9WYvWxyqNXyevK5B69O/aqkESLtHy1WMqkoURKomcDAIgIZxll5mz5KWRnFvNT/wAEBvrLtf8Acv0Vktvu67o3TOXY6PJDGOunscKOYchcT5ARuB4tewXQa5p4tcC08QqP5HK59MImETCJhEwisJC/Jon6Yw9lSych9yb7UeovNh79X13d4/pU1Z8fZBJr5NLfTH/squJvcne1PqJ3Ffru7OfSppP4+x6r3kGvSeTCJhEwiYRMItu/gkbKhtfc44mJmnCLQu1Nb3LWsY4cHKmiEyu7r91jm4qGEClWkVaSLVEB8qi6xCB1MYAyd07M2LJBrvy2Fo8/gfWosen2nOislq7uu3GQxrHSHA5qzyUrWip6lrLiykdQcSIxe9a8/ksY5x4NJXRl4mdY02/47lvm9NM8kt2a81Ta4y4WiE4sbZ23q3Z1Tq52z2JtWxlG+l9u6fu+w6vSIR8q+kYJo6k3SzdMXDaPcLtydnkFdaxaLNf6aW0b4fnGXxBnuxHKVBa85XviVqUK+8jNhb2/dnoGd4p8jtOceuPOobfebrtSf2ht18GyKqSQaNJNy5mrVKSKLMx0GzBoUisp4SuqTwu8+H8MtOw9e2DwX8JA/DLknpG5sbPRt1VPcl62jx02IxtMRQ7TXote1aTmC6tnUGFwYrqxUk6TIm3MofvyoEUR/wD8gjZUNO7d0Jqti4RcS2u6Tb7TOFROU4slNkSkA2j2DoSiPdOwZUMHHdm6GBFymfp2TlEdlapma6eKAfjMaSf+ER/FWef7IzRWSxW3mrNeXTHMsMxk7S1gqKc4x0U7pJG+NnPfGPmHDnje3paac+ObWWXdMImETCJhEwil6gfJnP1Nb2VnkpY+5H23rBdLP942+u7pb6K8b8falWc5WLAImETCJhFB1w/aOR/VPYWuQ91+kO9D1Au/r9id/Zj7Z/tF/SvOrGcp1lSTCJhEwiYRMIt1nhe+KQnxTb/uR3cSVl9EyMmvIV+ejUFZKY1bKya4rSZk4xPtOJanSjpQXLls36uWrgyi6CaxllEjbhw2a7EOzXNTbE8D4Wnw8PCPU6QsZ3fm7ir9+5f9Z+2Bgt91IYGx3EEjhHDk4o20iBlPkxXkTQI45JKRyxhkUr42xse3on/dt4fHNGE2HMI1jj1vOP3kw120246j0q5JTOyIzVq8m713A7QTYKN7DMMqj8deooRkwUSJNnjhsqiKKyqRt7Q3NvcN5oHtcPMI/uCwIa42r3J20yD8Xr7BZTEXkbiD2m3ljY6n5Ucpb1UrD4HxPexw4tcQvv5N3PgfQNUMKJyWX0UhrKnu6fN1nVVhja5Lpx8nraUjp2iKUrWcc2dyXplSlYZqrHlj2PRoKJQDsJgOfFxe2lq3mnka3zK8fQHSVO7a7D7wbvZKPG7eaeyeRMjgDM2FzLWOv5U13IGW0TfNklbXoFTwXK34k3iKzvNy4Rlfq7CSqeiaK+cO6hXJE6ZZiyTaiSrNS62tFqqs0RkRYqnQZNCKLEYIKqgChzrqjmw8vlnZGQNYC22aeA8JPjPrDwLsQdy7uc4ruxadny+clhyG6mViay7uIweptoQQ8WVqXAPMfOA+aVzWGeRrPIa2JgWsHIdXxphEwiYRMImEWTU/9o479b9hdZUWv6Q30fUKxW/bY/2Y+5n7O/0rwSnHJhdApRDf/nLb6Yj7U8yLvvdR7X1yu6Z+7k/Ui1T9KmS+IdNLBso1n7TCJhEwiYRMItn3hs+IrO8I7hJwFoYSVs0Tenzd3b65HHSNMVuaSSTaJ3WqIulUWi0iDJMiL1odREj9BJIBUIdFIcmMRlnY6QseC62ceI8IPjHrjw+grHe+j3OcV3ndOQZbByw4/dTFROZaXEgPU3MJJebK6LQ54j5yXwyta8wSOf5DmyvC6k65PcBObib29QzjSu2bJatUWDTExKLfDY7bTbU1ylIqwWTW0p3wxOyK3XpSehWb1RmPo5BeNU3Cf4ylUzflve2l03mgka7zK8fRHSPwLrvblbD7wbQ5KTG7h6eyeOMbiBM6Fz7WSn5UN3GH20rfNjldToNDwWS7HguDGiuOb/j9suH49az4ylpT+iONLTTCnwev3lMeN1kX9XYa9IkmlLJvyLHMLZq0WcLrnE4AZUe1n3Nc29u3mne1o80j+4qC0PtXuTuXkGYvQOCymXvJHADs1vLIxtfypJQ3qomDwvlexjRxc4Bc0niV+JjD8jYGL458dYx1UuN9TNFoOXRmIwbnYH20VFGuMW0EUqZ4Gh1/0VNVkyWKVddVNFVZJEyKaRdk5nNdtHZraotgeJ8Lj6w9XpKz39xnuKv2Em/1n7nm3uN1JoHR28EbhJDi4pG0lAlHky3krCY5JI6xxRl8UT5GyPedMmbeWTFMImETCJhEwi9OF+cxP1Nh7UlmpD7q32w9VWrd+r6kW8f0V6s+IcgrCZOLzYVGexP4n/lD+A5H3/5Ho+su1J+7N/7a/wBj/wDSlRpkeu1GmETCJhEwiYRXc4Jc2bvwj2597QbQ9ko1mQaw2zKIZ16KlZIRuuoq0fR7gxVEmVmgFV1FWLgxDF6Kqon/AEa5xyRxmRkx0/WN4xu4Ob4x7I8H4PCrY+9T3ZNL953b79WcpILLVNi902Nvg3mNvM5oD2SNFC+2nDWtnjBB8mOVvlxNXXLq/kRwO5uK65v0XLapuWwNfmsb+jRGxWNfjtu6wkrvVJGkXQkDFzw/HYhafqcw6in7qJUWZvmqp0gXVTEM3/a5KyvGh0L2838E8HD0D61R5q6327vdd3y2SyctlrjAXwx0biG31tG+5sJWjocy6jaWN5hx6ubqpmg+XEw8FK1XoPD/AIa6ie0CvQmktA6cUPNyk1CPFqxVa7PPbJ3itkmLMtNOE1LbN2XvTenO36jt4/E3RU6giAZUyTQwt5pXta3xkgequJ9MaH1prbINxWjsTksrknu5RFaW01w+tafixMcRTwk0A6SQFzqc8PEk03HaUacI+A1di6RouHhCUuasVVgxqNYCmtxOVXX2tIAG7NwyrL8TmI/eqJIeloioikmZBU6ym0MznWTxm0sierPBzuio8Q8w+E+Ho6Fmu7j32fGZ0HqG03j30hij1DZuEuOxQc2U283Sy7vHsLo+ui/Gt4GOf1T+WWR4lYI2aE82qsw6YRMImETCJhEwisvm4F5XCwa//Jm31NH2V5lHfe5D23rFZ+/3cn67uqforyXx9ppRDkWu6YmETCJhEwiYRWI4t8l9hcTNyVvceuVklJGJ72OnYB6oqSIt9VfnRGZrEwCXU4NHxUCKJKgBjtnSKK5AE6RQyqsryWxuBcRdI6R4CPCD/dwPFcP767J6Q7wG3F7txrJrhZ3FJIJ2AGW0uowepuYa8Odhc5rmkgSRPkicQ15XYJqrmrwT8QbU8nrW8u9dSLS9Q6cNsHjvvhCun+LEOdBw4iDwlmA1fv0UR4gRVJZl6R07KZ1E0FQ7snINnl7K9aCx4bL4WuND6Hj9D0l1sN8e5hvxsXlZ48vh7rKaVY49Vk7CKS4tXx18l0vVtdJaPp+NHcNZ5VRG+VgD3WeY6m4r6U2DsXkmlVdSa72TtBhGNti7oljwMPYLBBQTdJKNiXlxmXJFWVZZdwCwMW6yDAXQncGSFc51DSD5I2N5nuaG+MkAK2vEaa1HqC/GKwGPvb7KOdyiG3glmlLvEI42ueT5lKrRtzh8TPjlqBtuqncEYWom3JyAlkZLeO/6LCtIeMdy7SvMqgSeazzVu2Xvt9TrMcizbSpO20ZJAVVJddcOhNsZXPxNjNvYnmkPAuHQPOPhPm9AWWHuefZyasyuorPcfvA2Rx2lrSRs0GImobq8kaQ5nbY+PZ7ZrgC+CT8/NQxyRxxkufzPiIiIiIiIiIiIiPUREfKIiI+UREc2Ws8QAAoOhf5hEwiYRMImETCKwkL8mifpjD2VLJyH3JvtR6i82Hv1fXd3j+lTVnx9kEmvk0t9Mf8AsquJvcne1PqJ3Ffru7OfSppP4+x6r3kGvSeTCJhEwiYRMIvWgJ6Zq05DWauSbyFsFelY+cg5iOWO2fxUvFO0n0bIsnCYgdB2yeIEUTOHlKcoDn61zmOD2Gjwag+IhR+WxWNzuLucJmYI7nEXkEkE8MjQ6OWKVhZJG9p4OY9ji1wPSCQuwHg14w2lN4ViDpnIOywWnt0sWrdg/lLCuhCa7vThIhUfjUPYXJk4qtyL4wdpeOfKNyFVP0aqLFHsJ78xuet7lgjuiI7geE8GnzQegecfQquu33o/s6dzNr85dak2hsrrUe2kr3SRxW7XTZCxaST1M1u2stzGwcGXEDZCWCs7IyOZ95IniZwg7zUt7gtI6DBlouXulu01KRFdqpaprax7GsEjcLjcKewZFCrQ9lnLJLvZA0okiD1Jy+cqIqpi4XFSfD2FvMCOXx14LHTcYPNWl/71XVndRZQOp1L4pGy16KdWWh9a8KUqqbc1PEB4NaEtUPtWMjNa765a0GrW6l6weVNOHsE3SIq6HjFbPET2yI4jtKqVuSdwjQ76PRcKP1xRKBW5SmOqWIv83Z2bCGOEk/gANR6JHAed0+Yr0+7v3B9697Mxb3mfsLvTW3nO1019ewuhlkjrUtsrWUNlne8fiSlrbZvEulJAjfyJba2rd937IuG19jzCk7dLvMLzM3IGL3aQKqFIg1YsW/aMVlFRTFFJq0blHsINkSJl8hQzj+eeS5mdPKayONT/AHeIdAXZG2/0FpjbDRmO0Doy3FrprF2zYYYxxNBVznvdwL5ZXl0ssh4ySPc88XKOs0lvFMImETCJhEwil6gfJnP1Nb2VnkpY+5H23rBdLP8AeNvru6W+ivG/H2pVnOViwCJhEwiYRQdcP2jkf1T2FrkPdfpDvQ9QLv6/Ynf2Y+2f7Rf0rzqxnKdZUkwiYRMImETCJhEwiYRMImETCJhEwiYRMIsmp/7Rx3637C6yotf0hvo+oVit+2x/sx9zP2d/pXglOOTC6BSiG/8Azlt9MR9qeZF33uo9r65XdM/dyfqRap+lTJfEOmlg2Uaz9phEwiYRMImETCJhEwiYRMImETCJhEwiYRenC/OYn6mw9qSzUh91b7YeqrVu/V9SLeP6K9WfEOQVhMnF5sKjPYn8T/yh/Acj7/8AI9H1l2pP3Zv/AG1/sf8A6UqNMj12o0wiYRMImETCJhEwiYRMImETCJhEwiYRMImEVl83AvK4WDX/AOTNvqaPsrzKO+9yHtvWKz9/u5P13dU/RXkvj7TSiHItd0xMImETCJhEwiYRMImETCJhEwiYRMImETCJhFYSF+TRP0xh7Klk5D7k32o9RebD36vru7x/Spqz4+yCTXyaW+mP/ZVcTe5O9qfUTuK/Xd2c+lTSfx9j1XvINek8mETCJhEwiYRMImETCJhEwiYRMImETCJhEwil6gfJnP1Nb2VnkpY+5H23rBdLP942+u7pb6K8b8falWc5WLAImETCJhFB1w/aOR/VPYWuQ91+kO9D1Au/r9id/Zj7Z/tF/SvOrGcp1lSTCJhEwiYRMImETCJhEwiYRMImETCJhEwiyan/ALRx3637C6yotf0hvo+oVit+2x/sx9zP2d/pXglOOTC6BSiG/wDzlt9MR9qeZF33uo9r65XdM/dyfqRap+lTJfEOmlg2Uaz9phEwiYRMImETCJhEwiYRMImETCJhEwiYRenC/OYn6mw9qSzUh91b7YeqrVu/V9SLeP6K9WfEOQVhMnF5sKjPYn8T/wAofwHI+/8AyPR9ZdqT92b/ANtf7H/6UqNMj12o0wiYRMImETCJhEwiYRMImETCJhEwiYRMImEVl83AvK4WDX/5M2+po+yvMo773Ie29YrP3+7k/Xd1T9FeS+PtNKIci13TEwiYRMImETCJhEwiYRMImETCJhEwiYRMImEVhIX5NE/TGHsqWTkPuTfaj1F5sPfq+u7vH9KmrPj7IJNfJpb6Y/8AZVcTe5O9qfUTuK/Xd2c+lTSfx9j1XvINek8mETCJhEwiYRMImETCJhEwiYRMImETCJhEwil6gfJnP1Nb2VnkpY+5H23rBdLP942+u7pb6K8b8falWc5WLAImETCJhFHE9UJKUlnb9uuxIiv3HYKsq4KoHdNkUTdoCNlCh1MmPToI+TKCe1kklL2ltDTx+Lzl2efs8PtqO613Su55o/u+bj4DX97rPT/vr2ibG2OImsn9uzeSyUPUyXWcs53csF5EyTnto6Stka3nYGyO8j7AmfWYzzzr3PNLsMvjb6fsK9P7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVevA1CSi5Zo/cLsTood/2yoquDKD3rZZEvZA7ZMo9DKB16iHkzVgtZI5Q9xbQV8fi85WWfaH/bUd1rva9zzWHd824wGv7LWeoPers82SscRDZM7Dm8bkpuuktc5eTt5oLOVkfJbSVldG13IwukbI+V66wywSz1h/NP0XTVZmmmmzTbiDhRYhxORZwoIgCbdUvZ7Kofn69evkyiubZ8zw5pFKU4+j5i7CH2T32sPd17iXd1zW0e7mF1rkdSZHWt3mI5MPaYy4tm21xjMRZMY997l8fKJxLj5nOa2F0YjdERK5znsZjn2BM+sxnnnXueaHYZfG30/YWTz7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVfXH0iVaP2LpRxHmTbPGzhQCKuROJEViKGAgGaFKJhKXydRAOv58+o7OVrw4ltAQfD7C4W7yX29/c+3i7uuvto9M6b3Kg1JqrRWcw9pJdY/CMto7nJ4y6soH3D4tQzSsgZLMx0zo4ZpGxhxZFI4BhlPJJdRxYha4B5O+geiKtk/RfSu89JOqTr3/AKP2Ox3SK3Xp3I9evT82UtzA+bl5acK9PoLNN9kB9o3sj9n/AP6w/wDXJitVZP8AW33h7H7y21hcdX71+/PaO09uyeO5Of3xg6nquu5uWXn6vlZz4h9gTPrMZ5517nlL2GXxt9P2Fmm+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yqXslF0s1jdnh3M0wRatToJqJvE3Ai4MoQgkIi4TEAFNJU3a7Sofm6dOvlzQuYnTMDW0rWvH0Vk9+ye76m1ncS7xWa3c3csNQZHTeR0Vd4eOPDwWlxctubjJ4i9Y97L2+x8QgEWPma5zZnSCR0QETmue9mC/YEz6zGeede55Rdhl8bfT9hdg/7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKpSj252jBi1UEplGzNs3UEgiJBOiiRMwkExSmEomL5OoAPT82SUbS1gaekABdR3vJbj4PeLvFa+3c0zFdwab1VrXOZi0jumxsuY7bJ5O6vYGXDIpZomTsimY2Zsc00bZA4MlkaA8pBud2wfNUxKVRyzct0xOIgQDrInTKJxKUxgKBjeXoAj0/NiRpcwtHSQQndt3HwezveK0Du5qaK7n03pXWuDzF3HatjfcyW2Mydrezst2SywxPnfFC9sLZJoY3SFofLG0l4i37AmfWYzzzr3PI3sMvjb6fsLtxfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85U+wJn1mM8869zx2GXxt9P2E+8bdyL5LbqfBuB+cqfYEz6zGeede547DL42+n7CfeNu5F8lt1Pg3A/OVPsCZ9ZjPPOvc8dhl8bfT9hPvG3ci+S26nwbgfnKn2BM+sxnnnXueOwy+Nvp+wn3jbuRfJbdT4NwPzlT7AmfWYzzzr3PHYZfG30/YT7xt3Ivktup8G4H5yp9gTPrMZ5517njsMvjb6fsJ9427kXyW3U+DcD85VnVYh3MKwWaujoKKKPFHAC3MocgEOi3TABFRJI3a7SQ/m6dOnlyttonQsLXUrWvD0F18PtYe+ptZ37e8Vhd3No7DUGO03jtFWmHkjzEFpb3Lrm3yeXvXvYyyvshEYDFkIWtc6ZshkbKDE1rWPfkma6xhJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhEwiYRMImETCJhF/9k=\"></p><p><br></p><p><img 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eSIDs/T/dLFUsGlvGSSbqlbCItup7komWwxreMMtc6KH4ZTUKtLMt8DlmYoXLdXslYALTaMLZGKMlU5JrVLYOB8QukoabZRGG9H1sahHPbY35kZtwrKn/wBY5O7W9VkIPKRAqWVe86I3gn5d70Lfc0EMQvSSiN3yYr38ycrt93L9vZApMZTmkoJulZ1tM4o+a0NYvhRis9xh6yxG09TqsrW2AyaFedrnYmb4mBsWtJmg+GHeLu/QIwYun6yJYkbbO2iReLSkKaO0rFqFU3Yh31xuHBpzxs99pE64wnNl6v1l949vbTWzXm3X8Vqc1kx24EGhDEnBsXdchvM1lrPcQXfBC4Qo/8fv5EZYQmRXaNnMbvZmoR3t0SEYdanLNoN39CM6q3a1vBSiuMctzHL7Gd3pPpOgkcfbpIo43jrbh6LvTfVr0kDfkiaLcgUiAvXpWKymXrjYx+6qN+rRj2xldZH3+WpoVXzWd9NrA/nayLqvV3DtCZeVHzpy/WBS2PK674ESVOyOknKyZA7pCkmqZprX3MClU1G1YXTtnO9cRz6s6c/x7FpyH/HCSQST6NNdvCcadYqFfrrznKqnqFb99VykwQ3CKWOvHOYQr0DnOr1K9t77Hm1n7+OQW22cI7c91ksub5Ppnq1cd3yCVaZgr698SUzSN0AnF3wI86tffEGIsv89Zf+AW2gwzo5OpZNvqeVLW8ueo9bOQcTz0PXc089jabYp+zOgSx+zoz7T0HYCb0yFM1JXgLB3gFu0AEagBU1zaWKxBATARquyY3D0exaocEDmVsTyPxG3dsaHZP8kawnEZLW2cen1N8/nceRCOO+lQRL1d/XFWASifQPCfWH2IP1FISKFZpq1WZwlbZDHIpMXZ+u3bTT1fpsXYeGWZ0UUWz8FVLaVdEXFboX2Jk8ngKwXdT7jegjYhT9TXIUQaV8xF11HR+pERwd3gWo4avOEdsMCSB1IfBT3T4Y0gtdia7d2gn/1LeWyHha0dxnUd34XbB5EgypnbApyeBNCWYonfj3/aFKOJ20pcnNEuGDs134+ZFPwRzvgdjtMWGH2B3q0pX+3VTzr1n9MZ4XMU0V38jxbuIUG6IWy+DOylxeUJhVjpBhkoEbxs4av8lxd44t41Ct7hF0bGBz3RHzJ8oH+5HbWIVBwN1Bz92QoeHfmsWu8dmWCqGUmF3gzuH3F1n0m1C+NuHjkN2AEZmAH9majBVOXN1M+5G03lVMgQ3885VPm1iWkp0zLdHog9m50goWuWGKzWJBCswACUAhU8z3+ZhR34U3+0AjjkAsSKIxdA1am4WkWCU/E6CtuKA1wGIf5NHHfFTcH9IwomVfKt1d5WI1R9h7hUmXTF4jbWHLd6Dgp/3eIlTNmCXJ4pSRSzPaI5Wd+peNmLjKElac6MWWEDgZ/QdSJQzR/U2IlRpd/oxeFgGY8uuUmqRdNq0eAJmaQYgk0kdAE4LM0TlEXgUEGBCBWG/mLcfQ10vBVpRFqb1k2HRksQsaBIjmSdEVxShaN5LV8T4ZrKehxLBhyfFd9hBiDhvhl4ahfD0JKZQaU4+ds6DgioPVZkceOCQZT2sZDRyiPuiRhUklu+DiKo7d/xJMGHMBMqAeQXjmA8haLY3mbgSIAkOaAubgUh9ED5wBdwnmXOtZO7FROxFk/bbg2bBWS2yWHgHlXF2ctJOhkhZlrCVVBKyiT7wVfwAaD2MdJw/8mOTYYSpIlWSikg5uDSucYiZ21UpLnmZVoie9IZ7hEmkiyJFCpU/Y4lReGf6OIdEO1dEa1W6kITYiWhXsSlrjZoIFiBF5wlmlJFxJJR3KEhnfpRqbSKtVQTvOTnGSTl/sjZH05ksx4fHWokitpnQ/kkhIUWDGZjSJXfdYHeI8pQpEpmScUfo4olJkZQzWHYPNJnzLFbauwCvg5O0dimq91j1VplV6ClcJDPE7EbgYqm0s1kAs6b3/ioLjpM0UTCTfADWLUkEXBDUBQDRT4PhqZoakyl6PhoWYIomZDjCNqT9pFZGu3jCAondO5kizZkpB0mNEHct3pgurCjYmVkxn/FZk8qYjfl3iOKHM/GkM21yLp95ly9o5AonlJSI+vBYqh6GfBI6Aro0ynyEzJE2JzgoW/pTNhyYVe6qD5hg1Kk5Zs6SpzSqep8nXQFXa8qisiqpeqxpd6Kocl2Yx+aocZx3zaEkGEGliDM5OB+J2N+R+b5I2MWoM5amyVyaMj1WyVGm00FHlFmX6VOEtLiXmu021OGX/yJ6r+2WcACjxRKqUDiiYEupWqeGiuqqVbWoD1NqtiSTQCsA23eBRL8ApQoKZ1CWrDSZxeoxkUS7ERG6xhs5zZhQIgKRzKyHbRiUB/Ko0s2lfcQqjrgY0yuph9d63ugnKGqFGOip7nCSGS/3CzEIAHECAJiBCU4jqUCNNm7rCzEgABQwsBN5SU2FafnYpaN7WfE5Y78kqvSNQBJHBu+HqqSmd6hVaFdcKKrch6UierBDurChiGSEE+A9EDSiANpqIbdhmstTdHcVqcmOYPPTBWotEDihFpZPUM3qCrdUSXsJKBxMqBuQCHHcuxgLSnIXtAIrhkhNl82kIeLHC5mMsCICCtk6SYgHALMcACduABvIAEiCpfNhkgF7Wtgwdm8rBf+JJ4/TAAA9APs9sPdIAhG0Kpa4ZSJ8ICtWu7wpu07rhDOdIjtkRnQkICM8AEEDY7nCclU+tT9aolXiAQGVAAHYAFScePunWg/f8KdU0VsAw6sGU7ljRwvYpxF72pE1PDtnLUixjbKrUnDd4QLPH7PpeSt6GWC8/At3Zhq2SahnVZGnLENfzQpmPjPqAWaobLnMCRuB7buH45cdGJV3jTZHkIQSc7AcL7wSzgLYI1WICABMIbvP0AC6gLnltGbF/GfXSABDEcw0iABpiDCh8svHTAIWigIXBAB0AcxHTQu5Z6ImCQw7brAMVAI5qqlCcAATEQABAAAUywB8SAvFSwB0MbALBgu3zwlJxHRNNbfyZzMlgQNbZaCAKQtaiaW033fwiapePLoOdbx3ySvrcqhj4xFz0QGhu6pvN7G7WXCW+QCZQAtwb3DPv/KweMnAJwpA09gCly4AuM/EZ0mQsi0AOavMmc3Mme/MmbTACAfDYZOBocmwLeABxx9ZwBBLKPG152CKh546y4Zh63C8IhN61WVi68kMO1uwUS5bKQI4M3Sjmf9MG0ywLjiMNITAed4AyjMAobQge0i8yO51kqxQJI3A9V0M1VMCM4l203wge+3A9MsArEgAUnLLwxAGG7BG7iNrWj6jv4xwEd0LeV0gylqK9nAptXGr7iS4Appj12bG+RkAFS44B7PBCHwGluGcj0K4bc0AIUHQe+gJy4cSk4QNGK8AYpMEem0QNY5Q/YoAgtoAhxELjtBLH8wLdM074RwQ0EkA0E/2CmCEFjv8G4xeEB29zTPv3TQB3U/cACtNwterjNLCAKSh0LkCBl8GE4hsPTSMwHovABw7AfNdo4JozCQo3ESNAgvqzMpYTEA6ACZTAEoCDNL0AH25yO0kYBAbDNMlAGMhAFUbC0NXICW8DVtYsFxPAjW0DWGFAHhK2EHtMBBZDYir3YjN3Yin0Hv3MDC+kPXmAGyAAM++zGVZgGN5ABnv3ZoB3aoj3apF3aoi0QhVAANFDQ2FRvkcCAQiFGfSyX6YRwEC1j12AAuq0IcpDIo7FcAoEDum0IFm3bABzAc6HbBtACcmAacHpOfCtwejwR10AAckAAFaGWdgFAzyDVXf/93eAN1CFMueKBnUg9B0kwB6IACStIwuQCArccvJKQBEmwBqJAUcLcHyYc3l6dILdbuwPAAmjQCbNgw/6yzUwwBENQBp0wzcg8u85QDBFeInQAASCwUtqMxDIgAy6AC7UbACAwAyRgiTdiuwBuuzGQB7Sw4u1A1u6gCX2gCe9sO3VQABiRAb+DtpTSKQUQBEGwCGaA2d6rlf2MVM6E0DChNADXBALA2sN10JPdE7OdwBUI0RENGcrN2wQgAlze5SKgx0tABGJOBF7e5UtApgUx5mTe5a4S3VFeEVkQB1kQcBLBNHMhB5nwAJRgHN7N337O3ywwBRPgBN6BB5l76Jj/u82wwAJggOiZG3IZbuK2WwRCUOlz8AEsHCD7Hd7BW7t0sAKz4MtgMASlUAqd0MPMnMMqQAqkMARqzdZIXAayXgY5AAKhUM390AUocsQavuEH8N9erEMOwASSLry4oAkuoAma4A4P3g/t4AIu0Ad1AJVPYuMXgeNcsgd5PBAk4ONBEOROFO5F/o/LkwE2QT55UQBOLlw0YO7TnRPwu3vGaeWCrMcGEAgGwNtfrt1bR9L9bkYxRjWeQhfr1NLhgxHXkAUtMOfS/RC8mRcU3QJOIAeAlAt9/ucYL9Qs8AccHwvkcfFCzdU+LR+wIPL9oAKVLgRrcNWpCyDysOkYrwKl//7go67gp24hCD4EpAAKzuDgD87qpFAGxRDYkk4HKhLXvrzhV2Dy7kAMCwYBtyy8EgDt0R4F62y7sADt0g611m4RGWAGYG8GYDJ7nsIY6uDt3y7kyWQ8/rxbb4LkL/HvXNAMmGALRbPu2ZS++MwTS3AOqEGBcYuxtZfllCACmVZjkPFNb54YiQEc99vSNh0RWWAIcw7TZXRpyt0CmbDTGd/5Gm8C6e3xFgDynm+7kDAMkIAPzd4PnJDy9319wgbzf64CCo7ENT8EN5/qH7zqCt7za83X/QD0tA4CXA0B9FAFSJ/DG07sSOwJVbDixHAC5IzEGED1mlAHJU/90S7j9P/Y9RWRAUHQB0GADGBSA/5ePjeA9sAADMZTpYPmf2+fsCiB5odRAovwCZ9gC7aA90ADEAn2DSRYkEYhfwkVLmTY0OFDiBH9XUtI0R+ZV/yq5Xr2jJ9HfiFFjiRZ0uRJlClVrgzZsSXIkBUVUjRQU5EcERYnctMpk6FFbhMXWqRYdCG2N3HeUErxrMfCoAqxzUzIU6jRn1kMZPEXFSI2okIb1jTQIhOKFLk89GPb1u3bAW/lzqVbl23ctizmmDDxZ4KFtXjtusUrWO4AUXNEITHM9oAQyEk+hAgxYkRlypk1U0ZyeDDhASpgDLnbFsyQIaVKoUGFai6TIaTKOHuhgc7/XFK5yxRz109wqDIywMyVIUOCXFwuZGjKk+cELML9YGlyUV3TDz5z7bnoo2nDd/DgGWwo4FAnxag9i2YIEsSKGQ57Zha91qF9kEXAOOy3wcFGfxvS+C8NAgUsMI0ECEwgg4Z66gor88QKSyasvNJpKoq4cGUMDj+xpSAQQxRxRBJLNPFEFAkywpKhfJLoRRi/ugYoAqqppiVtWNJxRx57NMmlj2DqiKqu/AnEJkpEaFGsCBvC8KqJIKTIEENauIkfIETQkgguucThKm66lBCHLsskoo1AuPIHLIiMcnAhssxCYc61PivNTjzhoosFE/YS5S8PCsvzswGSgEySufgw/1QIySi7bDNI5ZGnM7sMa8w3FVCD6zTUOpmltblUIAU12mzDTbdiEGkrrgGKG64xV+WSQAblXKBlhrmSs06TeXqT6wAruKsjPGLJg/I8n7AyKgMr2jOjggLOy/A+/JDxD8D/siWQAwMPPHDBNSeayioiIyLqTQeDmhDZAjjs8MMU45V3XnpHFIBFcZmMcd99sVG3KyCqgeklHws2+OCWEi6JviL9MaSmFnASi9wGEwJrXah+8omsK6UJyZs4Hq6JiJ5qCkQmbIgw4EiyjjwyC4qn4hdOE8o6CwW1BtVZ50v7AYOvOfyaoM65LI1usCSStiO6ASSBTIg1hnEUUs3kCf/BajiQ0JoOFVRA9K1Quhabia7Jfmc0uWBhAQy2wWCBhcYGCKXtAN7e4tLcZKMgB+jcYoKUAOIuru9VryjOhTyIaWfVtiSozgVN6qCCBLqY4K6PYr8br7yZuJEZoqiwAYs9Z5HhwkXUNXZzPm8VTIPBNSd08XMnaZdwPrHYDAssDd0dAxN46xV+eOILWmCBEmZWfnmiGoGCn1wURnh66lkCMsiPYmpYqDh9UVK9iqFsU98WVy5LDm1ASiGOFqo0hIjYEzLgYYZUronKFtp3XxGm3miBLAC2jCwPidPNUEA0t0jCADX7Q80c2MAF9oUvDeRLBS14QQxW8Gtv4VMSggb/qLgdbWeMEkIM9FSEyMxhMo+iWtWudjV5rAEGMDiOYUCAGhyOBoc4tFPPDtOzvO2GAtkRjARIAQajyQADcrEHrWiVB08QblWyeJwmaPGDeYRCO8HCXOY2t5OEMMsKYxyje5o1RtgphFnOusOT3PSmF1mkdQhyXSIc0QA8NmAMeNwjh/ToO0C664+BFKTvCnCPJbXLXZ/ARPEc+Ujh3UBCXlleJTXmjx6MI3pAGlj1PPlJkXTEI9eD0FTmVxZfAKEHq8RBK79EpCW4UpayJANUroGNWbrSZFdKHz+8kYk3BDMOOZHJAHViP0MoQinBZCYlfJEC/wVQmgN0SAHnlDO5/yjQgQaAoAO36U0KUjCD49zLBt3ysz75xQJ/mcAEYrGXJJjAg0k7DAuSdk9D5ZNRSeOECO0hCYAG1AOSGGhB7cACSSDBalaDoTw+AIA1CCE7hIHADC0Kg1JgVKOlYBxdQsg038gliMXQAATeAgYZBIA4x3nLDGolA1r4CmyPg9wPbAqBnsmiD32ow3g099PyEEWMZTzjGYPAIIuAg3RBMAOD/kU+fs3IH46wQSIS4To6MiMBi+jjHvX41a96lY+DHCQhCekKLvyLIthQw4Y6xIbgQVKucx1RJLyQLzha0pJkOAc/cvSMHCWsk6AkrI9cIo0eWIUnbJoKWGRmFAJwxP8b0TQAeoSCSwGSRWQ4kGrssGE+lgUwYn51iTdS4A3TiuAebPLHKbGCzDj4wrSoTUFtvSENSsRBEVbKX299mz8CLlBOdJqLNskSi5og1wDI/QM3ndtc6Eb3D9OlbnWrK4lLddAEf7LAOtv5hzkkLbzyTMJc7IlP9JIwCUXQU2kGUJj3ssowsOADHiT1AUnJA6IA2EJHRTMEjM5CwAMe8KA+6kO2jDQHdJivcA6T0rfAQjlPpIUWo+O4Xc3DpkwomuN2Gh6fflEnQx2jGfpghvf04ajXSM9SSVARy3a2RXkNV5EWceNFFCgBCeLxJxbRAB8v4hOmKIARgCzkTwD5E2P/+ESTP+EKAURZygLYwyfK4WQsf+IGMq5ICXzHSGbQVcxjVtHpaKxX5VGEAATLXmHd7EmnXJJ86LkGAZ4hjcnqD1n+wIH5qGSIQPzZAK+U0MOO9GdEX0lI/PCYN5Q0k1P6RGVUekMKPiKNHHmM0SmQQ6c93WlKPODTmQjuH4YrDQS2RRIMbMEvMnGBTPxC1rO+wC8uMIVaT+EXup4Cr3fd6yk4IdgTcAKxiZ1qtvxsDh9cp3djIQrwglcxc6gnPpd9bWwnAQSD8SGr3rIFhy7Uofg9TBcsuoYVAAAA6V73ClZQtJ0hODcy2I0D4HCnAXRhOHCRAeHish0n5gFXISU4/waqWAeb2tSEaWvFh0O8gfEwoAAy48lQC3BxjO+hAhXIgE6Ueh9JyhlCL9JdHhdxVdftOAFWZTkbbnAPcPjjBgLABCaYYQub20LnNhfATMABjhnt/OY5x4QRGnZLitTgy3Alc9PnuoBICCA9aKb6NZzX5lFK781b11HWnwImKD1pIQQAdVJ0W5TH9vllPchCHHSrTEJX5LOBrtLb354JckRPlavkew+WMHVXSuUasXTlKkXAEWl0xGOalsbiG+9LaeAsBdKAY01MMNwDFneBBnDCAzz/edBf4AGivwDpR1961Kf+AhYoPetdj0C8aJe77cSDBwpKUNwjux8HCGjvAf/qASQMQ/j9be/O+mGHNTw0v5JijFxGg9FOqFvd6aY+ni6F4LeMlAIUgIVhZoBEuTChMRg4XHNMKJi46Mo680C4TVkKFwlYgafigTjEOafGMkZJXQXYeBonQjpZcBHZWRKJoAiTcwQ62jEE2Yc00KoEYIYSeKwwEoAwEwgQ6blzmYgw24cNJAgtkBJ/8LJFaiSnK0G50gKqmxmM8YclGIfEY7TB4joZtJ5R6oGwWJ1jSYgssBL+kQPZIoqL6TNDaINtmJElEAEl8AZy+DooiZM38AVy8AY5IIcotDR+eDQikRLWgjEYu4YeKInHc7zGG0NpSAG0SIHgsplr0r1Vqwn/3TM+uvCA1tM9MNiLoNGBdrIAFugo64OLpgEEQGgDOPSMfkChNTjE/AIAPJALMLioWWA3VGi3deu2QXQvUpABUsgDkqIAlXILCXgVgusHk3KLLXgpTRhFuXCp6uiOhLMpygnFttCpPog4zfmihRgqhYgK/uM4hiCdLUOZAYyQPZuRawgCPDo5BOExHnPABBAALoCjDBCAEGEGAUAXTGCDmisIqauxisiApYsrEwxH4YmEQrAIsTszvcKYV+AIkIjBGXzHk0iLjugB27nBKBGLLHiYFngDUWIxn+izS6gBorgHLmgEArDBqwCL+QmEFvCFkgASLCyX8LGYGmOxHqgt/zmwtDBkNDIkQxQoQzSsJrIwIDZcoD8IlEqsi7jwgO4CDPOSpztsyT1MSbfwgMpYRJp0iyg4NwDILxDwNrawAwBLDXaTPuqjPlTgGrJRBRwaldh4StnIG6mcSqqktyrYm20rDVzYN8KwsMahFcTBgO7rqBigKStKuA34gQ3gg+sDA/nrKYhjALmUuF48o4YoADNoql4MggD0RxajCC+4uBIogMEkTME8TMJcK5QxuatSQJVTOWaggRoIiqeSiWhcgIJIHvHxAia7suApR/IxshEUR9IUnjATgM+xxxT8ioQ4PKxzR3iMzZGAAo94CnQkEq2okkoLCQe5Bhy4hMQaiv9r2IZGeAq1uoZTuhKUiEiRk0jFpAgcUCal0MiQEMMyLMNcqK3aeghWI0nNq5k6wT44HAAPMDY67JPtaqe/gJuc9A1JEAVRmKj2hIWLWoOelJQ9NIyKAjBPkb5IdDcAdTf5uotMgcohKINRQdDYoMqpxERM3I0cyAFUTDZQhLd+uIJa0YS7YRoMs472S7h04LCQMoz4m8X6i7j7CyO7ZIgCaJaOu8WjykJ/uANqqVFqaQBjDAJ9uQYvYExlfMwHTAAUPI+nEh2ZowGC4Bw38cZ3GYiJm5EnAYcb+KMGKAfgKU0snRfM3LLnhKrV1JclUIJ2vB7ZLFOSgInEkh2pgqP/LDiSfewlxJMDRaiJS7grlEmIHjCGN8iEFPCFkBGg0VrOh9izO42xiRDCFogDORgJx5u8yWs87QzJsRjJOcm8bNo8lGzPbKIu3ZM99ZyAmWxPp+knESKURKnPRAwVAIOB/ozEdZPE1ni3O+kHFSgDUCgFWwUFWy2DXdXVXeVVYA1WqyyG7WMwwTgA8DOMAxAMgKOVxZmLsnwcVmxF8OjEWYUFDJjFiJvLFPUHXByKAmiPF1WjDqgKn6gBHMXR+8ijHE1XY9yzDMijBmhMIAXSEgBNsLCQmeCCAnBSCfy/RYKXAuACf5mJGnCrDrm5LF3YeDmIZPlS1RGLNYPBrDNT/4sdiVzwmCfgO1daKzrDJVlqA4ihBG8IJX7whf8BTgq5rGsggmRSCkUANM1SzpNgTrkj1Nwhkj6bH0WtTo6EVJB01NpCgTTEvJLsizcU1XQyp7yIp5hcT1isRElYr7mABU54GqwVAhjQWiFgL7iQBJ68T0ohjLPJqOhz1XT7zwC1lAGgA1AAhU4YBbmd21FwBg2wW2ew22IohhzY22Kgh70F3AjdviiQDj5why5wMPfqBxmQBQmwhwOIArCcUMLoUMj5ULQMUXg7gIabS26tS/dgCHVo0RhdCC+ogX+9hnug0XUFhkVABjMABtd1XWRwBNllkhmJ12OkV8hUuX1Quf97nYnUzJcCWIBuDaOAJQgaGNj0EIAvI0GGjd4TwUCJhNgWOYRNip7sgc2LjU0o4Ag/pZ+juCXQAqB9LFkgkYM4aIMeuAcoFR+KaIRLSFTd4q3diq2UsNlBrQirWJedNYCb8IhHBVqhjVSiraaaMdriYqBM1dQE0qCX9KA/wMN2mknxxBOwJb63sIOsfZqt5dqflIudnCFElBTsupMDeD4YeER1i0RUkFWVDMULtgs62L69IdztywNXuZTDoSkZwIW6CAWamla0TMvvsNaOCoWGi0u57NahUg/S9b85S4hCuFFkAAZk+A9lUIYB0eJE0BjdBTLe9d0g3bHfdYSBfVj/qfKCcmCDiXMRJmWyDhyI5SXYdhkkppNePS4RFBQXSrJeouCGV+Ak7Onei3UJdlTf9imS8zC0+fkz/imJXHgFMlgrSkI71V2CLHgDH+xkX5hCTatZhvCCLMgC+EmIJyhlhcCBUuYKI4VOsujZjCVDRw1a7TzgSVVD4rpU8Jxh42uavTCB8/QTPFynLKgFZEYCsVlmZm7mZkYEFaALOsjaiDpEqDlErmwL+uTJ/JLPu7CD5yuFWXjVV4VhPnRgtqCDHLjhdaYAB6CAKthhuZiw4sgDFwDiurCcg2tFmzLiDdgDu1BiE21i0LUCBwnX0pWzKLGPDMiAAiABYMAWbeHi/wK5nWsIY2SsV4HYaAtMBHhohuQRu4TonXKIlhuMYw8BkQWwBVcoAIRlMujdY5kuiEgwAnO8TUtiLdcsZEPu3k66M7PrLLRbGfyRTkUNLJEAAm7EHcGbiCdIQm3wmF5i1JJgThx4mYqwn6L4X2XZWUM46p+9zgK+ZVxmiM0zAO/MJlbzvAtwAnEaJ7iOa6BhWrawp3SiYPXUAUjItvBCL79WLxISAjsQFLaABaxdA1H4AMVebMW+FFxA1fyaCwmYIaJst6M85+LzZWmuAr4Fg7r57LbpG8NoG9IWbbmAgCG+DrRUS7UED8oFm1bwXCc2IxeJYoaogWekSH+ogfbgAv9EuoZCuIEOoAFu6eIDWZIw/gRlqFca8IIM6ICBeMCBYIZEKDpTkAmeEIA/SlGZUSQmA8d90Dk2WDJ3sbmZPm8QuYHhtV4mIQMx7Wn4TgkUIIcUGLnWsglOToEo9IasU4JGmMhKxl1/AIdCIAAr5KR2VBirrokssIhJW+WHMYSG8GpF+NKaMLW0fgvjcgLRywS35ia+iKC3lmsMssM/oOt+6KCn/VQdkDZse3EYx7Y18CBVOQwOFgK2eRsdZ4HJ+ICxFQywtaj7BIDm+zbS3vG3cbfi86hKWfJ+YII8IIUqiNpKga+AbgWzxNx+JhYsWLhZHYB2kL/PvcUVVQhwKAH/ce1FQfCC8+iABuhLxfTWNOCWbhGQnvsJjE6EH2UGU2CTGigBrYpuW2AGR4CHDqiBLvMdpGISERyDPA4R8W4yNphj9D5vGjgd9p4xfwACMo1vT2dUAXSYlRmtReOHgxRwoXiCOg31GWkEJUABheGINhOJBd8KB1/khMCB/5FwhqBwC68ZQ/gFFHgAS9VwBnKCTBg9J/gf6Wp263r2Z++L6epUp51g9awF2xso39t2bt/2pTmMKIAMusgMFB9hGLDP+8xKQjwaJWdydP4bestJJC5sg5PWK1rtLQ8PEZWLMB8jbZ3tMbpLF93LIPhFb22PNoKQAsiWADEQG7hzqsBo/2bcMSWtiBooACS1wH1IBFtohi2LYw4ZV5nw7k+gdBBhhpoD70qf6eSxb4i9BjIYB57+dE8XJQFEziMJYI8BiWr4nopciCeg0/+mCpkhSCCwwu0dJZiwaqwOChH4H4XogV2f8Fj+0u6sVDYMcQ5na17TtVnzNbAXtmIbe2NzArJ3gljo1PH6E/UMFM3uw7bYgqdpr8Vemvmqz/uUBy/PEwHF7FktVewTDHiXgb9HMKMZAJnSZtJmmwBg/AB4fMhvfMkPgLF0C1wgoxKjSzIP3YUAB4SW4qUqD2yQhfZ40rAggfyI6Iafc4i3zDz6BD3fsUgo11deCH5FUhBhgxJ46f9PQKot9G42wEwTMfmVn+lLr97VpAgggJ5QpnnnR51rEBlFMIaPQLxTF17d8YegByCSIcA16QEDB6wxHQmmt/WEIAKox9Op7/X7iQMLby60HvZiTyCT7Dy2vn/SU73UYz39BwgLFy5YKGjQgocB/RYyZGEiyRxRsSZQTMjwIsaMGjUq7FdECMiODBWuKRljYccBdmCwhLEGgDwASERuvKhwQKdOGGnWpCmSJ0qGTEjJyFMz489+Iq8ADTqgKVKOAaxQrcqAQQF/WrVmCGIlyNatBYIEyRDWX1eyZkoUaBCkgZdr18LWaOB20SJlNtKksSHgrNYbdhssSpTgsIBCc/3/LV7sDxuXEvsmU7bF5tOYzGy4aL3GbbGAzGPY2KJs+jTq1KpXs27t+jXs2KlLMK4N+Dbu3P6WjOP3jB/w4MKHEy9u/Djy5MqXMxfe+WygS0RwNAp+TsTzrYu5bSNi4LuBQIZ+ESCDrbbczudxvBr+Ozj2sDgCGchSW0QLA1t7KDJgCDAO3xmiiG4FAmaACX+08AsKDXqgkSQmmGCAEwO94gGGGWq4IYcdtnFQQQ9mBMZDJohC0QQ6iHgUixuJdABIIG0EEiI8DVBESzAAsKM8drS4Uz9DDFFKKaOgAcoQOw2gAilDNEkKlFFKOSVRVcpAlAwylPFjUBy5EAqXYV4E/0srVVlhRh9XZRVWBlSBdVYJX5nFJllBmAEMnkEIkt5cct3w1lvA7MWXX2H12ZZdnxiWwD5r2rbVZ1px44UApjGKyWVsMIONY1uFptkCsok6KqmlmvpaJFxcc56BrZ41FxC5+PZec7XaeiuuufKT3ar+PMHZNT0884wIZPTZGTe2cZFFeAK2EAc5D7wSV7JnsYpNI69I45us8J0VYH2dEZHfYj3k99+3AhLoqoHgGXBBgyiseFGEBvzhRCYP1CJmi7WAiJBGLCTx0B86oDgvvxrxYZNHMQqxEQxCSJISSu+09BJMAMCScJBClvLCLKV0oZEqT04Jxk5QXnmlyitnKf+DUlGF6YIESsFyE8P8ijSDmX2YwUAFWJ3V1VeAFSDn0HXeyQEHa4FjqD8duGWXoISm8Zeh2CBK2KLMJGDEDZJ2CtgNpZlmCybM7KMVq+nJUs4Yn3xyKt112303arSxu7c/nylBq66BCz74rdmFxalWQCzxWKfH+lNIG/45G4cc2ngjDTlPcNoY24xhgy0Bwb0X31YBBkKEVtsAkV/p/aErH3hx8K0bggrm6yCEElJ4gb4cRzWAvwZNAHBGLMwBkSgGp4iw7wxJvLFCsHAS4xpNsYRLRgHk+FJMePgu5JBoHKlCzEE5SUoZ6YOSPsoYpf9+HmWQEj/9ZRgFZPk5J+X/AhMDQFDzSJqHknaYyQppuorQ6FS0s4ylLEkjyyKYZgMOhA1Z/uDCW+6SCL7whQNY044/SjCYT3jtMCYEm206tTkBsAETqRFAn6q1KriNoRxpwxsOc6jD1tBgG7Njlwhy8RvAEa6IRjSi4RyTLLmwynCM80cPcCDFKeKgB1a8Yg/IAMKx9c0fIsgGrUinFXARYVXcIAB99tMC8QBIQLL74W0Q9B14PUBeEPrOvfK1LwFiBAmx+OPwiIcRgZlgDn+YSEWewkfnCSEKB1jIR6g3IxgUwQ43YwiOLsajGECFReArEipGQQcbOWkIZQDFKIqRShZkBBRVcGUxYkmPKhSj/wqzdAA9HEABClQhD1mKQs4W4gIZuKCYxCymLJhAs4Q1pSNM8IpVrhI0R3HlK1YwGlnmtJW02EkZTOOAqvq2GMFksBklEIANBvVBxyBqDI5Y1GQOwwxMGCEDnmlcCBsQN0yYjTJ/ccxcuCCaT8BDbTs8KEJzGDYuzs5xczmHrIh4xIlS1DjDmtUQ+QEEJ3IOhE+UFNT4BtCwECEOlEjBtvghRn+ACweMuYcxWKcV/nzHo+AywLoAwyx38RSgc8EGHhcUL+b1I0ITqlDvFskQFUhIIhaYAFFJhDxAUEQHbagFErCqgq1ytate/SpXY8SJLcDIYUgA0gEi5pI1IAEEJ/+xGEvWMIuYnNVFMACfRj45C1SgoggBHAAY5Ic+Z7zgBRrQACtTAgv0xa8Yu6SABiiQg13q8rHEyJIL7NGli3jCmMUc5mc1AYEu+SRhTKiKzxAINGqixStvYoxcSpDNB9oJGEz7YGfu0QE9lcAUyboBB9PQAfTAVoR2cYQ8DxPPBDjiEwKIy1Y4ZQrR7PM0WfFpBgbqwoRyt7umMkITYfvRVnUUitqQVbckWtH1HvE923oGEBpBBm6A4zznUSJD0wPHsPTAEjJ8zhMM0YJnyYEc0hBBtcb4HWNdYwlvWKNnsGEu/7TxOzk9y055OiETcI5VcnwXCh7wAKLWS0G822P/MHuyERX8wUSxCFHABpaEgqEoRRMAhCjmcLwk8LjHPhZCEhwm5Bgl4QNRmAP1ZrITFrRECAD4wBpggIgczSJjrKyJkO6aVyGhkq8TwwgYnKQCVYzisBp4Ac4WAoYqlcEdEOiCZB8bZ106wAF58OXGNhKKKxBTE3nQBKADDcAUh6kjGECtaqeZtAWK0x9HcyCdIIiMCd7AWJ0rRAP2cA/YXoMLfUlDAgpw3+e00xHMKCGjDJoAZjS3AMDyhxdcQd1PbJcyFTzcDQbKjFB5t9e+ds2clPioAi3xOdcgwEW1oV72MruIz6hGfLXIjVEji08eNTYXGqGdBLuKCJfQ9uEa//Ed+rRAEXJIwUrnQ4TPcKMRcZDpbohAhCfw6qYXDkuGDZCfAQvYc7VJ1oT+YAAG1ZHEtUMqijebPxUvtZCHfCpRBYY85VFVecPQMcYzrmOIbBzja0jCxz8O8jUMIwSiKIkQ2IoUGMX1Ax8AQEm2tyPvHeWuQ9rykEaBiheAYOH2IEUXoscCEBw2e1gqw8L6sYU3y5kCdMYlMdzBoj27gBZWvzotqECFH9SBFnVwAfY2y4Q+uIAqZbfCRswkTQRWgLVEe1OfwCFbSG9TaRPkQA0eg562yKJxHXDEO1k7F+O604T7UC6jKvOJemJDDUaYNWlO4wXD3aMA2v015jNPmf8FRAK3jhNpn8jQG1pdtNmmH9xFlcCN1aNnpMNm6RJ6pZVGtCELnPovu7xTn8XNRdzj1vcbvIFubgcIB70CgiIMYYDFFXtV+mUpeO69lQzHIRPWf4D1t4MsgZtgQXW0Y0aMursLJBwldlABEtCv/vSz30cZYeocTDARQV6EkBGJRS04JIn987///v///+FByYVACEAZyVlERkyZS+wIzMGcXGEMHOQZlg1JKeAcKKECCygSQ0jAEDBBUMBC0eUPGKxMGZzERUAAZTkdZdVZ+xxFKHgCLRDDKlDBPNDgD9yg1mlCH7TgRZyWC/SBAVmBCwQTav3M2rXd0HxFEDjUo2n/E1fUySJMmgBsA+7JwhjAhVyME14sgqi9itRcoamt2uEd3qlNhkFhSgEQnmbYgkFRRts4xqfETT9pHh32WiRYgmNQG7sAlAhklOicHiASzuKEF2DcFzeowxNEThto0TXUwE5lAUN123e0gHSQQQ1cAngIWBz4wrakWxlpBRnIgSLQh7YdC7cxhr3hxk6NR7w0yAMQACwSQBbM4k4pCMGBH0ZIwsGdWO4giIT8IjBKQsyIBPzJX0XEGI+JAiRYhAYqlVKwAAFGo8uFgDBqxEdEzJPJgzbGRAPKAxyYYE2UgsdYIBrs3JVdRBEMwaD1QwA4gwbwxJoRxcjYBB04QDFU/5bT1Rkw2UgA9QMYaELWUcEq3OAM3iDXacIjZQRqGVAftEI/LoTasd1qLdoSAtTcOWFrQRDTrEkMZYBdBAFttA0XJMp1Zcce6FMDsMFhYKQFLYY6ZCGn3YbrtR4cXUMd3uSoLMBCfZ6rJNhPvcJ7PIOy+UYgFuWtDAuxMMYSyV5jcMMSeBt9fAcRFAIRiMd32Me1SaJ/mJQxtIHyuVHl/MZKxV6fiMCD+ccidk50dUYq3kaGZYIctKIrPsAvxIIvftgviNiI5c5RDUT5LYRRJcgfDKZgDmY1YkQxvhj9NYSMJc+DUIwz9gM0RiNlniNGrMQCfsA2biNMxAQvdFLHwP9ABWYE+HQZmmXEUGgWQ/BBGahCRkBAlpACBNBEKPhSFVRBneWjA7QDRzykPQCk1hWkQXLdDzRj9Ahh2WlCHTBA/2hEVRhh0ESn2ykhenzGHswWnbiFGXiTYpiRVtzB1JDANdyDY5CAXZSkbQiAXbiT17BkbSCOeugdIcrktZWXq+AkfsYGeCFOJBYIfC6BEElD6RklgTYHUsJXE6lQZ1wDeERlIFCiIrTAV2riG7zbV/IUhmLos5BDCrxB8hmCIUALcIjlt6DOBRlD8gWCImSCEgCBCMjbJ6bHPbSlTgmcAWRCCshlvGSCE2AovogYLtLLLiZVlxjVYMaCEyRpkv7/EVGpwMBIxDEWD49FxDL2I2hyiUKwwBqcnChQJjhiRFph42ZqI48woGWS5jii6ZC8ACrUSEZ0wRAEwAmSQnOOBGxCSdhh0svkAW7mJgmwSJr1QzsAJw4O5w/86YgAIUNuwAZ4oHNWRXQCzURG2h78m1wIAHbWHQQJ16vURQY1ABckC6u0xRhQ02IwAUoiVwKYRX9qX6S0alZGV3/mhi3U6hzmJ66ahmIopR7yTR8OaIEGK3NcVKS8CghFpSGIhyK8ASXIASUMWLm9ATl4w1lmqLX+niEEXy54gxx4KOVoA1GqFPEFQhaQQRZYKE7JgTfwgxzEgfKlEPRZmCqCxy/E/6WOhlgmxMEv7Cu/6uVehp/uVAj58eUh/cK/IARQJObwRNyU/gEgIGBkNkTKpVw04gP+LEQUxFVnxsRmMmBdbcQn4VyX0YFGQAlGMEEHbpYEqAxGwMLLFAVu5mPPKVwn/SYtEKShzkDOQABy9sFyMqdGxABqBc0Ruh1Z7MF4/tQ1XCfdPSFZ4IkW8MpYTM0imEJ2YFoDZMCmdYp6XmHarGpIvd4eZqV9uso1yM0nRF6uru1kOEqx7o1jtIewzu2t9EDW6F1YNAtOvUGB8YM0UGsc8G0KAEe7lpvhRijiHq7iKoIinJRveIM3+MK5jShwpFsgRAe/+Ye0bksKiGILPP/KNdDo4bzlvcaLv54ukJKYhNwLL25WYL7YQAiEQTwmTTipi0XpIEFEEigjxDIclqoZSIDcBxAgLwxjRoCAxnYsN3IjAJzpRYSsmqLSCxwmQ4RZnS4EnK7jQszAleisSEjAy+YBMeQmFkDPj4gEBGiCQW7dDabDOnaEBJxdmjCqo9oEGLiJFUhqBUhnCrVJEAwXCNUJRnaFdhpBh6mBIFBtM9wa28hC1i4oY4BD144BJqzkrBbI841Nr3DRBQPGQN0q2+KnAcMn3KIHgNItCiPHeY0o6TxlVjpL8AkocLioCNSwDd8wDuewDttwcEiDDxOH5U6ihZobuAJH575BWJD/p+jiG73aa+l+H+qKmOraixP8wsACbILEgsESxEAQRJNKyBwgEsMizzJCpov0psIBL0iswfCGwMw2RZiWxJiWKQOSLMiK42hiRGnqXM/RBC6QgmpGD5SM1slCCW+ORBe8LDHkUp2BAFRcqQQop6H+QPvQxGktKgNsgDsAxf16RR9EKv+iR1oUwEvqlwA/X1o0gBkslHbcgCAIQG/lHbzmkz0BxmAsQhjWstjCLQmr5S6b7eWF8NqG0y/jxmJwigiksDIXB63kAgFswyGsjn54FINamBwMRw9cw0vuVxKrw2NQLrBWbrroW+Pm6xsMbg8L33NwyhKzTRZMCCve6/fN/yXqBilDGCnC8aX8CQRBFIQXa4QK6JgxQhUy7q5VZZVWgRX5ZMQWKHRXZewat/EWsMgMsASPcGzGMOCOsAAfOC/06nGTSK/zQgApJORC8AGeoiZRSGA/4EL49ikFkADONFM/PJJPDIA7SPIPbMANsjRDUAUQ9sEGXIX2qpnagXLbVQun+C8rL7UAj9o9eGQQLAIJPMaodZo/gANMvso1mELWHjNs6ZPXrpou802xQYoTGWtDfbAw56pOik0HW4tWEEC3LLNdc8uItocvJB96NFH0UQKtaEM2z+cPHcs1pIDwXU5xrBQZUBEWPfYVjU07a0WGMcgThxiQRrHq9uUVF//pLzqB7PYzjL1fIQ00wxaSMlbVMLSBCnDCjvXYwxTPkHFCJA0ZyYVAGyTFiEQM92C0RnssHFyZSHz083LZKJwmRsxAFNAESZc0w5D0DFhy+NZZnSXdwoldU8yAC6ivQfYPPAohJm/AbELmVFCFGUTn/k6kY6QFdDnfn2RTU6aFIExeU9JkehDiSNbApomXP4xQGN5ABgS4gA84gRf4gPdJY8yFgS84gwt4ZjRAOTADCLc1HQpAL+8NNiTL6N31Mr+Xb4Cr8D2YZxyI8plb6VWD3XKzdsieP7yBizsu5YpzWEyb0sKqsU22P7zlPMslkLoiZvvrZrNuUv2EkSpmP/f/82MiZiGFMe7WX48lDyDogA5AAs1tgR0UASKsgY4Fqj86jAq4XxGswRqvMRtTY4sMwJRhDJkyL0ysAAC4ufPaXB4XNymAwgsA05vaA8V0ASm45k4cACCXzwGE7/g6wAnYMUaAycK5ACGfYDEBWh1sQDo0+kjYg/wKNVFrhAS4ySfr7/5ypFwQzXbIRQPRXajrSQ2wuKyqNXrcg3gm0RWOwSJUcD8lAmZQF67numg0QAlosD/kmq4Hu7Dj+idMOIVrHg0oKHl1Rg9wOIerV7ui9VZIDhFTbjbHNdwKWIheMxCzetmGLSpG37x+R17KMxDo5Y+f7maP3186RRrXBFMN/4wYI+P9SbmUu99FgMAwiIJGgIEQcIIkmHQ/xIAoQFnBs7HLfcCX1oQdDMECsvlv78gKZGD+EDdDlBIqCSNNHIAqQI9CbAGU6GzOMIHAuwOh52MoBGo78CBKuMAVcBJKgMFn9UEf3OwGLPxCXPIPZnImW/dFSAA0/cz+ojd6tpamdQoJCHDSYCGffPuwkfp+Q0oNPLiiiOFkJAIbDLuwGwHodsYEaz3Yz1oiHDuuZkDbmPU19GFKObsyX9QQ/a0c1DdjKJ+KygHgpLiKr7NWRJ/ddzvUWJtujPhi4Pg761sclC4K9MASnHsUSzHBCmz5NSMar1j8MTlBS+mUUlWU6/+AT/cDLwzDCATMv+cZzuBBwbdxG3/sxSoFmsNAldFxxMO5ms75xTfJEGiAzy/EH7+DBOTZyspmMNmDDMzAwsTAy8pAnzpAUfcDBshpPxZT/ZLJZ/1gHdTBHgAFLIC3AfE8Azi/U/DsV3Q6ejOAABSA+Zu/bBVAp2CQ0jBNnpBFA9zB00OwBZ3FPTQB3naGR14hrQEEs30J9u2zhelTQoULGSpsVuiaP4n+IvrLMKaBAFcNOXZsCM9WQZEjSZY0eRJlSpUrWbYcWYBizIkzadYkUO0ZP507efb0+RNoUKFDiRY1yi+nzqQ7K8r0ZwBqCznaniXtwa1pTa1bJV7jJjH/EFRFlHYuFbG1YtaaanFANaBoaxa3vx6gsHsXxYMe/rAtEfHqwgPBgz30M3y4nyQTBkw4+XWhFmLEAyRLply5nwoTc0zEmjChcGUWSUwkEQVJhw5AWTDjmzPsMmIwQoTYqbxljZA5H0L0DmEbM2Y7Q4TMkgcAeXLkqJCvYBHb8BDppTBLHwJqFKzKEkh1V1UklKruB4L3u0IqTxcmMtjLyEPMgQM6mAPIAAO93wAX+3EZxrB/vz40+WGDdvKTzB4r+lCwDwY2cDAAzGYIwgorzKiAgQo03HBDMygMopCuImoiiBIF6AAZDmxYJIgGWhTkmqywmekaLjIoQABBmojx/6uJ0pLoogbGWAQTgfYxMgFblExSSSWZseXJJhOgwYuY1BJgDFm44OIGAWxJMsomnxwTyjLFXNKlNNVck802RxJgxq64ogmbiLhRQqmj9NyTzz79BCqnpppySxE5etqrpiwUXZTRRhXdilBDfTprLb7m1OqatsSiKSJssljMgEzqwisvFOLsFAcRBqsrNMkUM+EPJwKL7LDL8CuvMs2SmAOSz1pFbLQkTAMktQlAOPBAXJIQIgnMWKANkcoGUEGINXgLQZ42Jtt2WxVgWEO5cAFYYVwWKrOulFuH6A6UKDCLojtSyiimjDJIYSI4yiBAr4oq2pOhivhO0M4yJlwAA/8zADGARQJNABSwjh+wwGyAGVyosI8GH2SAYiasCKKPCzkcmQMzPBQgrWvuuaPEAmoUgANgkGGRZlPWquGGEkhogGeeC5ixxhtgkjPGi8YYEkqRCFKTyoh+pKiAo6uM8ZpCCqDBzay13pprpi+9dIk/xR6b7LL5yQUpSMUiiydEZcImLEPcmhsquQORO8aaIv2J0olwCMsAu+mm+xqgJdL0LUzlguoXOUi164GtAiMMs1cNcGIKyHDdHDPNOPMMNGeFneO0CVSLobIihG22stloM1cyO2Co1jfgLCuCPPy2GKITcMMll9xyb8VVOlJKAQE/WOIlBZRiigGljAi5Paz/C/f6zQN7euJzIJTWZTg44f00YYKKOhx2QZM65tkAglthqfDiBh1kgGNkDRuACQotzHDkkU1uAhw0EgQGvHCPGHFhDzYABjAUqAxglGAiXLqDLFzUMwsKwCJ3cEUDSqCOp0UNI59gxtKU5hIBeMFpM6lTDVwxBpgYrk7+6NICulZDG96wTYWI09dowo1G5GQpZhPiEImIFG/EJIYS2VvbfBSTwAXOEC2Q4hSpKEW1vUVSPenb4QIRFsABbnAG6EqdMkUoxf0BKqIiVV0e8LRr9MAxj3nArw7zqlhdQHMU4xy3VEAaXvlKdKMjlg54wS1OLIt1k3kWbYqAGU5UizdI/wgOLN4hCVvdrx/2gMEslBO85pRrc/ghxbrKgDrJ4CJeZQCFBnKQAzpAhzLQwYX1iuGAKhADPvFp32Rm8D2EWQZA6SufJjI2oA1gQFoDsMeCGPSgB+2BYrL4WMgw1D8OaChFJEhLnZpQAEvwCBvY8EIzGGgDDqSBAzTwRxM6sAghWbBFPGORIIzgiE+402U9wso9CvDOT5AwTTQsARcqMqNT+QNLJPAHViiSFm5gIwMlwOFEKVpRkdxALTyUCBCeAYUifhSkfwJiEmdCKLbtxG1yAlwL4vCGTFDiDTGNaSZcSom80WSJWqSJpgIxRUW04KdVbIGlnIY4uNBIIp9inP/jHkcATvkDB2h0zAXoaBg7Yi6P9jsAC7gKBq5+Faxh5WoUSiMK0FW1H8EiHSQAAQjbHYYPwqINZlynG4JhUhKz+8AHYIcf2b0DFsOjwybFxZxxOWd45VnXENy1nVQWIwca0EAAEhsbCbhHe9vbHhbu2o9QAOg+lQmm+n5gPmNuIEK3kmb85Ec/fF3SMBWiEP/6tyEOcMBmeYvIHbhwjx56wQzlVJENaMCBRLizgj275yIcoYxEJCINiXDEGJrQUB+VQEhj+GdBjNQSI2hhh4KSSAnGIIgCZiWjhSgB1izaXve2qQQz6pFGF0qAsoQUv/kdCtoy+hSxZFEniBKUW1r/QAlvHFga2jjwgr0hjSsWim87JdQb5FBhC19YDgU9nBmb6I97LM4AdLkLGy9AgPlO5AmM+UMLMoHWq+KRVq4ywYxpXOMZkwbHpaHxrs4qrWCZhq236KxhisAsYdGVNtV6a34OMLs1SMIy90MEDGAAZczAIgpr8OQngQe7PRqmO0MwUGW68FjJQgAzMUheFPIQMAdQwAEniA8FxmwYg/kyysGkxQZKGzE+oxkz7cCYguhXaAlICxb6M1ltOcSBDiBRIjVogEJngpVr3CC45kSnDZw7sxYtgrnASAQzlJEAU6eBGcw4bpUsJRFwYElIjkhJd0dCg6FJxHBpucHRICgn/6RSbUZcuNp7iV3slGDwphqNyDn022xn+6QqXylcSdd2KBp9JVJB5Ic0kMIUreSUJ1v0Rw8YRQBznxvd5j4oVDlMNH/IxQSGaFypIIcCSnVKIkSgcQss4OIZxypzMUbMq2rMGc6QZjMz5kzCSWNWHYRONKs7jQ7wYBlYHJI2c3BWkucgycpEQQhRGPJhZEdlwE4yCp345LgOi9gvR6cMqhj5FpYHilY2slbUOwAsYXGFNms2zg4gwYHA4ILvgS+Wh9HzD5jO9A0w4VaUWS3GNkY/PgwAPwGQrRUYraHbYoELlvDRNVgWhBKAQ7zXKMAilGEDG6TB7WlwxCKA4QhglP/67QnIexoSkIboNkMtESFBCLfr3QJwwddOidGuj5algU5b8U3EhrDZS2tjX96iRjAcfb2CNp14/tmhB2lVnDIRcPMjpV1ZYlVYn5ScPBjAOxE31RKPFpmUMXBOOHFX5PIHeY+K3g/AgZViotQVU7VyNJZVVmtF8D88H/rPF8Ufpl996/8hFr2CuGTAIHHUmBIxdjDyGjTeOo4PA/z5sUMUOLGFKGN9ylSGQRFgeRgscxIAhgWec/aY9O5YWTK4oztUSQPcITggQAZmwH4oIxS6IA8EBugiBBa6YD9kQBN+STIeJmKabgP2YOQMY5kqhNDmJ0NMKTYGABf0Jwi6zuv/MoCMJiIDSqREboAiHqoi1KGd3C7udBC6/M7v+o7vIsHUEoAZ0qAEIC8tsqsB2KAlOoAGc22haoLxjqYcygETMKEEpqb0iG8ihg3zvrCiaAgbdo+HeqDbqkL00rCIcsHEnsa/3uKkAqzDsIEI6pAIRAAP81AP87C/Tk8nxC3x+gupYsio1KHD2C3eRAwvHgAISIqh2kAUZkxW/A1WsCrGYsOO/uAzLOAzOtEJOnECQOfhYuHhACnihOU0Ku7j5Mo0bqWu1iAEjmUAYkASOGF2+iM48kr+hAAA3G+S6GAWVmD/Dus5Xq4fSEHmbqXMBrAKAK0yYEEV2AMXJQPLaAHo/07gBAwQAvLgfJAuA8VHffjsB5ggsBCtFayAtQrtQfAl5wxDAj6kD5CBBZvgoCJCAGQwCBYBhdCLC0jA7t7u7XxQIH0QCIeQILyADGsAI46mSEqIJASgAEKETgLPH+6g8RqPDaAEIQRgR7ZwLSgPDEMSh2qAvmbiEFxPDVOyT6oiFwTMTnzNaQAHwphIRNwNUyRC2kjK9P4rwmxPEInPBnEAVFpAwGTCEtQAB3CgB5SSKXugB3bIR7jgD2DlcpCvMgguFvDoFmqBK2sBCZBABRCBxmLBAsrSLM8SFDuRE0HRy2Kj+1AREtIvP0aDNpJgDYbBx5IMFpGABfDgA2gDBv+WrFYO4B3k71sAwOPKwx7ggOWEURjNBTqYQAUkkzInczKH4NAqA5XipQuKUVpmgBTYowu045L05QHlDDVPgA9OAHuMjhak5xv3YwN/YAbKETMkQARlgQk8gQTJMTjyp0JEptE2hAZrogDwMQiAoRkQj1O8QBAYCO4Gku/SQACqczqH8LtSyEeaYCE/IRFMwghK4AYIKoa00ymwohCM4CK1KyMLwhYSgQ3GwAgwqocaCmiCrQBEUj+3ZgG04Ce5QgSqIU9UkkD1JBeAgC+aYvP4ogcILPZSzyOf6mv8kB8AEdci9NrkBHFa4BDGkFPME6m2sBFmzADuiBIBDo/wyAL/nMDGTMCszhJGy3ICbgF1YkCsygMX5gAV8QEEhqwIVABIVQAJCsn8Mu5aQuADcgN5ymMGhED+1gD/AJBiYoAOhLHlvOwwrMM6RolLuyA4QBMZndF+DAMB/0UBkcVWtoAJgi7osMABaEETLJAWMBAxNJDpxFQz0bFCWgFN+1QyWuFDzIC2OAQLtEArnBMfFyFFkI2hgKYJ6M7vAjIg+04AuOGhalC85AQrooZnPgETREIAxLMQ5ssrJHQi6qQANii7tOsTkkYklCQh5nMLGYoigKYGBGA/c5VNbgAqeYgbOKpAg9UonkEackEJKs1O0mIb/sYAAmEmUYpTypMr1u3b/3hyUirFaf7TuigCcZxABKQNRJuCVC+0K9RB3xjjcuYo+SQxcyzgAsrSCaYS+mCFLGOUE+/VAlRRWnJR4gBhAgABD7aAMg5ACLA0OF7RN5B0DeygskDAMA/zOACgLbclBt6hExzzMc9lsa6DY+slCroHTQ+AFLrAHj7wfmbpX9oM0OqvH7ZgBk4APrARZuE0D6gANmvlYcYRdVi2Hw6gFZhJQQwksRAjFD4mOGvrhFKGIiyBBJCTgVTEZXAtW9cOOqWT7zLgEFXIKQYvhEKCBnSIVk3VSoAmA9RzPT+hPU8CE9igAWR1QWWiRy4tJHSVblViASBIW21iKbRNWPsWKf+A6BC2qaAqgghk8kHn8FIoUm+sVadC9FS/pinaYjEU4RUswUPr0yd9ZAlqrAWmQF2v8t+m6l1VdAKcwAli4XQ/0V5ldALMkmDw4wTvR3Xgsq0AARKQAAxUh/7G9EAoQ/xow1p84wOQYGi3wBafdA2O4zjgwBfHdAsKExQ6YRZQIWMlwzpUqROcQXu39x0YFjGKgBQyU4/sITTbgxTczHujLDxgVmaxcR7ygBZW4WaVLkDqAAtA9sowQARdIGNmAHYx6TBwk0IWbWRcZhu2sAMS9e5uy+2KMwopwgsagLkEEgj9Dm8ngqE6xSviRCEbr1WPBE4wNWt1C0gEgGfOlg3/LK8kQgIh5nODb4pWI6KemIGG6taGSwLZSpIb7MtvexgouO3ecHKHuKEGwEgRyMHa1qJUeSjZdhKLenIiyM1RpvhRsmJDM+EQcFKLL+VSY8ISiIAxYKUF8IgSG8NdVfRdVzdGW7d119ICBHN6+uHivI9YAGEEREFHk4ATTPYyJEEvj7Q3kOB1MQnLHtZ35CFis2DksGwIYGAISkF6VwAVPDNL16UURuEFMlmTJUsDrGwARLY7DHB67EEGytd6tIcC6AwzQuEKNAF+cUlmqWAVZHl+DWO0NgALfBHr7gcWmICZFkR+ADjqfBYea8sIWI0myk4GM224KuBr4/YamkAQ/1xkEXqQIOFOnbS4cDJqt95pDNiAIEICJtxQ8mKkCbBkPdnzU1sCStjgE4wAayFvjMABuxKiIW8Yn/cBg0qSIl6BJ/jWh4M1JwgggJrIacigDZo1cOLAG5K49H7SoLQWpxg33CQsjC56QbtVDs6BOReqiW0vJp6AxqBCVj5XxirxF9z1jNXYXtn4XieANfb1KlcHyGrXjocBj9fgZmGrH6YMeI9UHpC0DdwPOmbAkAFAeSN2BUTOfowaXToBDag3CpCADqr6MkcJO1BBkzdZstxBO8C0O+wBgOW4l8xXBsqAGIoBzuBMlDEpCirQlWkBG1fhBGT5BGq5Hy6Gf2mB6f/ulxr1V09HkAHwejIwoESCUzgJFYVmQplbJDmVQUVuC+4qtSv6qYIg1QeLcDpNIby4gju7U9a6S4doRC1qoADMNp1bVYVZ4iA+QQBqIFNB6GjQdiDy2YaNgJ8lgtlaL6D79hnQJil0Cyqf4BIU2gBa4A1SIImzgoqbG/ageMPqJopaIIoMwbqvuwXihBDR6LhF5RX24kfIcCLpcDHKOxbowipP2oxTtCzTOI1XdxPX0qVt8/0Mww5WRzeGYQTaar/teARwWl9vpcj+OGGxJQSY93ud9EmTA5EZXB4QoXlBoJGnoxSCkXpRgXpHARS09DoweZMzWQNeIMSjgA/sZQD/VSH97OEKSjll6WGt4Sw+PjaAje573EOu53qW5Td8+LcONsDH7/cyDkB/L4ZBNIYBMjPqYGFCPiQIErsCrklFsCBEroFpkTO4Ituc3A5qqXwPkkuCF+Ga+c7Uhga9rOQavKCFsstTH/JH0gJn0HlVZ9tT17lNnsSeDi9BZehs6dy26Ra3c1sJgBsNe1ug7+sqDgcHnoAIitst7qZQtC2lKsKLLhqMoOK5r3UmNjQOaGqmMsHTPz0plzIpUywqgI8AiAAHluBr+gIHiAAOpjKM70gwTvS8VXp0VVqN23gT2fgz4BgxDkASaHpXhsGmR6C/jV1bMOMA6CDJaEMUgrrA/4MawfuhCAyZk5RXXOQBDvigZyd8OjqBeoURw1fgBTqhFIZAlTp8q0M8xEWck6FnAOlhPvoBDJigO/7lfDPrzTQLZiUAFkKhxo1OE26crumalne8DzbwxwMLDM7xlwWbAXapMgJAAgDVaJt8UL3uyTlAALjACygIORVVy+PunN7uBpoBueKJ7fjOBjRbzPdZTno1VRcSI5iwJOIZBk87zi/Snp+kaxYAHprBFLwCzS9yEUCiz204m/l5HLqN0J9eJyihBZq1i+bGEMZCuYNIBJxS1JMSjIQK7JNS7MU+23wCCLh+KUn96uXAG1AgBbwhBdxe7uM+7jNh6kHluEdFDv8ewO6hgipLtLzRtbwHnypF16SbT/naG9ffG77Nktc3Ea1gAQxAgBeMDJHWqtj5ewRCYAQIRvLBQBJALsmcDAAKvDegnXmr/agbPGLFZQUkQQUmvBQgWZLFXZIxfBRyvxM6Ife3WsR/n5Mlix7oZV4oQAMkgA7sBd9/bq2BbnuIQRXWw+jQhxaIQWZXIcd/AK9vmUB8nAkkIGPgh9CcKUOwgAnOH/2l6bA/xEKcHMqfXEMEABg8pERcBBgYGMtLPlIdCLkAogGwRAnSGDSYoGACAdf8OcTm0F+GJgWMjGlwccynT4n2efy4r4PEEh1cjcl4MuVGNrZagnwJM6ZMW/D/OtRwhfFkOZYye/r8CTSo0KFEQdKIiDSpUn/j+D3jBzWq1KlUq1q9ijWr1q1cs8pRZCCsobEtFMWh5M3p1FzPnqWIE1asgRZx3mR6Q+muXbyU3vCN0yJQ3LCKKEV9KlXaW0OD48jxJk1xihTevKGYjCKznBaDDSh6kDnzg19OGBswcTo1ahOsVxv489rJrwsPaLephRsJEhVIEJ024cTCBeEWiBc/jtzChOITljdX3vxW7t1zkli/jn2OKEiAuncf8X0E+BEhQogSgj49jPSi5JV/7z6+PHwA1sC4v2YNAADy+O//vx8qAY7SSSlDlNLJCqgoqCAqDjr4QoQSTqjB/wsVaoBhhhoUw2ExGlDwYTF5kCIDiVXQ4wAFFKToQIsuukhMHnnI4IIMtBCzygknULFKjzz+sMoPtGjiQpFF9tFHHT9swGSTG/RhhQtW9MFAlRtUWWUFDFRgRhBWWOHll14GYYYZW1aAZpoVcLAmmxwA0yWZwCDDgQ112mBnGnjqaZAyi/w50EFpFDSoQgkl5AhGOV3UgKInfYKJT7Ywk1KlGm2EyaTMFFUUPPB8UuknzCzAaammnooqUJEsxWpE3ECFWFeyzkprrbZa9YwcbyjCq1l1yUEOrk/l4gtggo1lSGGVVaaNN9poM5k00FbmSwtjGRDIWIrIcZhUT73FGf9ZjqXATwqKSTZZuijI8YsiTrRQ1i+ghZZZJpm868RcBhgSS1ixwAtbv07IdgFttD2A8AWkqcbaH7EQN9xwyU3MHHPONdecDhr/gV3HSWgnyjDeeTeeeOSJF8IHc6TH8hofuAffey+HII88H9SH3379+QdgzwCsMEuBncyyYNEPHv0CKklPGOGFFmqoQQ5RS01BDjnQU0UZZVTBdYoqsvhiiyc4cAIxMcp44wk5rsIj2yf8APcPmvThAt1H1uFkkwzUgSSSDFyJZeAM9GEGmH2QaYUZhJ+ppptrtslB5MgsAgwwkdcZuZ17bq6nMo4AI+igCB3KzKHKsPFJTo2ipJH/I5H+xAyoKn3CBjwtbZqqUMzYwsaluOcOfPDC+7Rqq622dWvyyi/PvFreUCIHJSmQQxlV3iAvVQpvxMF9HGa9Qe5UTyEfKzmZ+Op9XcHCSpU0cqTPayaQRZtCLpelcH9ocjwgx/780xsa0DwgEwormMIy8YsEzkaBBayNAw1YsHz9YYIUDI7EjEOx4zgHOtDBGMZ0EIs5iHCEIhRFyIbBnZEBomQma+Ew8iOENcxhDaL4gA3fg0P51GyH+dFPzfyzM5+t4GcrKOLQFtSgoyFNaRRyGtQyJLUogigHKuIailSExbC5aGxc1BEx5kEMte2IbWSkApB+UAdNzM0Fc0PS/waWlDcmUclKgsOSlrRkpjIxABl7VFPjHnc5N0WucpnDnOb0xDk+2SB0hDqUI0uXgESkbhGp0wglP+E6ZvzOJ5+iHRt2p8nhDYV3LNmkKE+JylM5pCHGSwr2mgfLWMpSWFsZX1uk4Q1yoOUxcgiftxDTFuxJg3rkeJ43gEWVWPEDl3JYVwrk4AsUSKNckTGXujADwGyKhl7zQpg3v5kwB4YTgga0wMDOObApFCdiGZzYBj0IT43pABIhiwUKISEySOhAhd9ZYQv/mbJhDMOGN8RhzGiG0JftsD8/ZKjPACCg/QyxiEVEYhIflDQIMc1CT3uahqIYtQ+piIorIikWV/+kxS2STUcs1VEZyQg3M8KNFnWoqU3jqLe/MYmOdczSlrLkxz+iSZCBDKSd7oSnpCaVTwZZJCNH58hH2iIRmKAqMzBRVVAOZXe22IcpUwnWsIp1eKtsZVLYN8u0qnWth8EeMJGXC6jkQhvegtUrl6kW5z0jLXm1HlSmmQvITJNc57JmuvCnzcSiQICiAadjwWmw2pCzYMeRmDop287kXIyD8ATEB+UZi+7sc5/8HI8//3myEJDHoKxFKM0WCtsdPhRAQySibRvEoAc1aGm8pRBHn4ghkFLRaic9Kdi0yEWxtVSMPGquTGUatzcuaR44ddLfrtvTO/o0qEF1XFG/ezn/zUUOkU4tL1MZaShH7iMhkExA6Tb11bHKd770DWvxzJqUpiiTrfztr6z26xRtjM8pbKmrgdlHvru+NZnty0VktJELcplLmvc7rGIT283HOvZgBjPgAycbMcqyM7MarBg8TyxPHUxgtPwk2QpPazLVpna1BoWZjcujw9g2VIg9KyJEKXpRJS6Nib69EHCFO7WqFTeLKE3pSr3YUjL66AfQjRvcqrvTLF8XcD21o3a5213IgbeQ4lXqIp16XoRAtVCkS8h6S+eRBMS5vnSus51TdV/8RkS//u2zn2lFvmTasq/dKnReB4yVaS7TwcuUzDLNFRn7WTibiNUmYzX82Mhy/xjEIsbsOkls4oudeMUrVrGKAZFijbX4xahFmYxV29oav/a1Cl0of4I4WwFN1McWVSKElEZkCRnZox8NKYhGqmTjorTJKu3icnPUXLZRWdpXtjIcsazl7AJVSz8F81DbJOYxGxJPHFBkIkMnukOx+VDrXa+c5fyR+N553vSu9z6OomekKMGuAP6zv/8N8MTgFa/TjEw1pSFNhKvrwpZe7GIFiOlwPlCykgUxxNh5QRKLuoMoLrU8Ub3qfrYaZTSmcaxzqGNb47pnEd31z3pttCVu9LfEztAUQ0o1kxb3uCl1dpTVNuUqW/uN2L6S0bHEZTsGDk2M8zYgw/1dzUl9qf+hQ7Oa0x3VNs/Zqx+Bt72/Dvb64jvfDjmHU4IZ8LSr/d+KJnijC1vNSTNcsRCPuDc5XHGLl3PEoDYxxzvuWVOrmrQtZmGrYZ3ak7825bAF4kNrq2siCijmSRzyzJ0I3OB+iIqbXzLPw5bc5bK0bWwzo9Cje21sb7nLXma6059OVPAeVbxNbeqe0nz19D7yvVwPZdh/D3z5GoHsq3zFgdeO/OTLsuB/jQxerYlwdFV67ty8tN0lXjCKZx+CwsG4xDLezneKGmOe/aypQV54Vo8c8bCONcxwzHiVzxait51o0XKLUWBvFPM1x7mxSapzX8NsoEc2T8ZSbgNTp2dlRIf/ZavHU3XEbdvldN4lbuFFbmZWdegmOlgXVe/lXvEGEl4XfCNIgqcyfMTnDwSgfCvIgrHUdgbXaNBHPwtHfdlUdxGHdx2Wd5PVfcYBfuHHWaNGfhMQeCkWcoYHUDOmePAXH4uXcvNXWz9jW0gUczJ3eb91ZP+XbEu2IgMoNgUoegc4RqZnbQsIR6kXR9iVdErXba7nbRRYgYaEVOW1VFZ3EI2UdW2GO75Xgn3oh6YiACiYgrHSby1oiIc4FczXfDAog4c1fTX4cDd4fRPXYZwGMZfYd+L3d81RfkU4eCGnfuuXeIpnY/Fna/MXebxGUVWYfzOHhZmHZEoWgF3oZF/o/3MuRQVq8yMKKF1omIZHt4Zs+GWvB3sVKHWGlAblpoFPtW6P5F7PyHW994fTSI0+EYislG9AUIiIyI2IqIjMZ3CQJn00CInbNIk5WHHax30i5oOgpolC2Ike94mrhoQtxH4mZ1AfgFCmKH88lopDRIX492u9VWT9hyE3ZzXDxYW02HNgGIY8MoYKuIBM4ovWxWXBqHRu+IaAFIdkliebwzlWh4d5+Iy8B1/yVo0pOY0l4A/YqGciYGjdKJMtCI5uZ3CSEWGOWI4B5HCTeHcJU4nk1IPsiEEZtBzKgZRC6EFFuGIgR3gqVI8xpoQn935NaIo8M1sT9XKSF2QDGWxN8/+KTxRFVtN5s/h5BBiGO6KL0iaR1aZ6O4Vd2jaMxPg4UGdUSnUnuId7I5l1Hghn0SiNKimYfrgANyCIjQAFcbWNM8mYAQeOj3kuCqeTO9lNkYhpObh9QbmOI/aDRslxm0iEoSl485h+I6eE+NhaORZ/OuOPUwiQAtmKXwmWRpaFCamQXHiWtmiAYhhtVECGp1d0WXZ0rMdtrtd0fuRddmlUckhezXlmzEiSJQmNoYSSg2mdv6cFEEF8PaAWd9WY3+mYNsmIkUmOO/lwlnmZP6mOPMiOROmZSZmUJ1Z+nOhx6EePMJaE7Od++1gzTtiPK/cfUehyMOdr+sc0/FebObf/hTtXi120m2uTgGVYbWeIUzo1nKx3JhlKjLEnbscIkuiGZo0EVX0JjYDZddeJosFXAyh4DdyQC3HFDzAKnjPqb4oGmQdnWNhkntZnd+iYmew5lJ0JhOMHj6JJmqWFn/k5iqTIj6zJY1Koa6+JW0JmoAcallAjXLeJm7XokKIHbWUkoRNZdHGJkV/WhhvJoR06hx9qXnc4onnogV4FXylKpyOIDdpJdtdgdjTKp2wXFQV3k41YnpSJnj2qjjsolBjXd/D5HB1Hap7IYkgalSSnn0y6j/4pW1jJclLoY0AGm155hbSJpThHXLPIkMgFhg/qUkEXptI1ptmGod12nMjZ/zgd6aHmZnV2KKJwWqJ7aKJ1Cqx3tgBG0BAuiV/coIJo1afLqlY2Cqg4GndyV448ioPjhKiJenGfpnGMqpSiSYQf95RQGR6odY9L2J/8+ENZSVtSuooFanlWKqqjmpALunNe6JC7CXRjVHphKqbVtXoXunQaOqu0CoeyR2bklat6yZckepK/GqwPa2fXaKz4pY2LyawXmzyP+XaGlZPSOq2Fmp6UeK3tiYnuGJ+bOJ+BV2r2Ka6TSqmomUPwoZqxpakSBSD/SEQVVaBVWmTx6n9kKYsLyaW36FJryZatemUNCKvECVQD+21swpFqmlRziEjLuIHRyV4lGZgOC7FdG/9WLOkP3ICCiEloGGu2ywOoG3suFDaoNSiJIUuJmrl3naatmSV+RLqURqpqR5ik9jiVVDlrTQqgNht5C/Jjn2qgwYZ5sDg1pYqb9qqbaamvvkll/Jq0rxqrw+i0yJmmy1lmzalICvumzsh7IBiCXou6YVWYeEp23LAEZwu7aPtXjaa25tKxOvqxbwtZ36RpcruZJWuyjTpq8ZhqLOtiLluu+4ljmKpjNUtbNquKOkulBElzPqt5Y3mbAZibkftsRkuGZeiqmAuwECiraPq0aopUVGuH6LarHSidmvQ7myKCqUu/olQIKIgNDcEN+1a2seu/WXGj0CqZuAuJlXmO4/T/o3mXre4JhEGIsvSZauHasqJYqYC7Q8wrW4MrhfV3uF0ZmwVpvVmqpZ7nZKEXhl/qXJYbnMDItGY6gWnSuUUlXupbe+tLKM1Iuh9Yvzs8VmMniMjav//bmIoZTMA0KwFcWDr5iA2XYSCrYXi3nr+rqIu6WfKZt+cXqenXty9rrjHTpM4LvfRXUYjbivvnUf0nwvTKZA26UqoKpm3JgJj7gOR7RxsJe8oZXmtah1abbjisdSBYnTwsyKXCEBExsa10DSJQDW0nxN+Jdr8kPloBqILqsdTHWI1lqB/GaewZYnU7pHjrQfskj0c6MqZFwe3HpDPbeA61qan4Yzm7s+8K/8K1GTXHZqpe05Bjg6/MVUZteW0VycIY6VPlu6F4nMdllpfntb5Xh8N+STqBPMjRTBQFkL8tmW/6ew3c2cgXe0tboYiLOFhJjD85aZ4BdH1Q7KOIeonfZ7eh9nfzSWoet7ISfLzk+reAy4SMByAaHCBbCWSxzLPC1lFi+bMjvMZD+2Q5gotrWbkS2otK64DCXMeb+0cxfMwY+JzLLCgK4cfO/BLQLM0hLRNeYMjEhw1iy2fb3JiDJmhWUZOTDHcWtsSWPC9OvLsJvMl758ntDMqhHJpF6JSlScGrBbPlMTMLFbg0m649JlGr+HL/PL2yiSEDTdBS1HmPy8ZEy8vf2/+qTQLMSys4E13Hr1ewUlsnVYtmGs1mHQ2N8DanIg3XREEDloAUrGtW2kkAMqrSMwmj2whgL+120DeO5VzTB8y7QGmJ7MzOVByfeQvBxUvPrLbFFcxaVZnP+qzBLSfG/9yVsgyvtAy0apxFubzLa9ObDe3QX+2AsZqRmwu1Fi3D44bWan21vBqnW3udIB3XqHKNLPoQiazXey2Td0VXFmuTbyfObVvAPomZI+t9RCmkJebARaqyRiipoaikS7i8Sd28rJxr9ccgEBVznt00GWKQ15tkyFavpE20azOGqA2+K6w347ttY/3CHYk56qtUNayBWJu1Jqnbuy3g+3ADEMH/DddwyKxSrC1JBsEt3NyomAhmV1fBfDKILihwu8pNd5jM3OmY0+u8qO4shCpmfqRcz6ZJ2aRIM7XWvM47eRvcqdLra+QtbCFMqrbseZD7Iids2jBludEF0XPcZS5svnF4geNG23cYnR4NyO02vwMO5fdbVnmKFMb34MONYHIQDKfgB5VQCfkA5mEu5mNO5mVu5meO5mmu5mvO5m3u5m8O52P+Dd8QBmEgBVKwDmKgJOmABVhAAiSwB3vQAXdwAxlQA1ywDf7ABTVQAAWQBXDAigNJkFNN6Qlq0MpWwgVID4NwBnrACqlADdSgD6Mu6qRe6qNu6qGO6qqO6qt+6qV+/+qtruqxzuqyXuusHuqvHuupTuuuTuu7nuuwbuqk3ur6kOvFjuzJruzLzuzNnuzUwA670AtncAWuQCpQnirEWs0P8cMi8MjGfeVsRYjYow3SkAx+EOfpru7rzu7t7u5r/g1gHu/zPudzHgbQgOd6zueAPuh3UAA30ASmYApeUAOJrhTcUAMdcKf+4AV3AOlLFNDVK683PsIs8jVOtul6gA7WIOrUEA277uwhL/IjT/Ilb/Inj/IoTw3WwPErv/LGzvIwPw0vT/PKzvHW0A043wuTEODYDhMFsEoHbs1U7g9L0M0xGe5+NizVQD4pEA9f/u5RL/VTT/XsTu90Xuf4nv/vev4D+w7ogt7vjS72N/AETVAIxrrg/pAOTeAq17ANBfDwEV+9BpnGpnrxXkgBZ/AIHt/qMZ/yfw/4gS/4g0/4wm7spv7xKz/zxv7xh2/z1DAN1jDqHP8Ik6AMPs8phaCd3GDXrSS2U25840NXQZz0a+VWUREMUF/1q8/6re/6YW7v947vec71fN7nf/71ge7vTRDwNbDtrISN3FAA0DD0ZUUGd1DGswzaUmT3ZzkIjzDzkn/skk/41W/914/9gR/qHA/zuf4FX6AL4B8OoR4Nxi7q1J/s0q8P3M/yu3AFmB8UCxAJ2g78vr1K3v7IpF/6/pUCAHEq30CCBQ0eRJj/UOFChg0dPoQYUaLEb/kqXvz2LUwYjRvDQAMpZd06MT9IdChQg8w1fy1dsmzJslAYEi2x+ePmsmUGOC9eoPIZVMOLoRqMHkWaQ0MOpjkoPIUa1QEFB1WtUuilj9o0al2t6dPalRpYsmXNnkWbVu1atm3dvoUbV25cr2SpfdmhwA0PBH0V7PhCzVq0sWPRCo4WVuvXr2eY7YMcWfJkypUtX8acWfNmzpZvYLvGEqZO0qVthvZ3jcw4fs+e8Wv9GvZs2rVt38adW/du3r19/8b92jU/OX4mHkeeXPly5swxbgxJUkydOunSYcFOYs+eDncKNDG15KZp0uny3Xhpeske/6BBfRaFj3Tp/KYUNESVSpWq1Xd6qBG2hqsADRPsq7kORDBBBRdkMMForPnqCx94UIMHNxRQwIe91EDgiC8US8sascYSEawC9XClMxVXZLFFFymLhAvQUouJPNNygik0bAgYrjXgfgQySCGHDFI2fjKppDkll2SySSYxysijj6AZabofrsNCu+064PIO7wq44YYnbjBltNTMjKmAfMLg4syXzCQji6GEIoqo+IxSKk/7KHAKP6isAvQdVrrSR8TCTByxQUUXZbRRR8mCUJ9wdiBEjb++CGcarhjBy40KffiCsLT+8wpCrsL6ahdBXmS1VVddFGC89Gw0LceWuOlBuP9c+NHGSCJ/BTZYYW97BsmHpEhICk2U1ARZJ5+FlqKMOpoSGpGko+5K7LLUsrsCwHyiiSYyqNHNWWsIIx8syLMVGzL2cA8+O5Oibymn+vRzv/0ceOeRUkkUrKwHHyW4YIMPNosaRnzgMAJGtNLlC0YiDkfhHRAAx40PQyxsq4BFNFSfXVJ8tWSTT4aMXBpvpbXWclk6Z1fZfB22Zptv1s21FIxzyJN+cGHiIAgG6GeGh4gOACF7+kk62odCCcBogjwJIICgCcLgOKL7cRIjiyyaFjoqSfohS+68uwG88USz0bx8CjB3VpewWaKnOu+UL8/77s33qakApYeVsgAOsFD/wghFOHHFF0eQYQV0qTgCDXkghBAEfHDYmi8U8EfjtAAM6z8RCZsGZD2UQTl11Vc0QlY3Z2y5ZRFmoxln228fskcfX5NGoIfsGWCAqwmSApZ+hH+oH6YP0kT5dhrSRALpp6e+euurT8jnAXApCAPlJRjIk1D6GZ6g6K+fXvl+0J9+WYQq+vrri8COMjqS6tCWhG6/BLPNWdm+CTfUZBEu5MRGBuQGNjKAijkZZV55s9dS+DRB/ExlXw7IimEWJyqxIEorm9hBBAokmI5ppRteKQzoAha6Dp5qMSRSDGE4aJivdJCEATvcDbUCKcSBBUAEIhWqNEgXEupjYJNSwxG6/yKhCrnBB09UAA94ACpq6OII4FBAOITYQ7dY4wyrA2MYK7MA9MTOjDdSwq5wt0Y2FslH/JAGbIIBkeL1IwYHkYD6mtYQ5e2RIMAbwAwwMEhCYsB9A/Ge+hRJtK0FT5Hq2xrXENIO5ZUvkeDLhxRCQbTy5SORjDye8iK5yFBGMmvTCpuUQGKta4nBldri1pa6wz8wgUtMXjCgreYmk3TlIx1nTA1o7vCeB0KwPhT0098ANYgdMi6HNDxUBNTgD0JosWOFYUzHDne4HY5lGs1EDOK+yRVsDqhEgiEnNfaisbog6pvt/Nc5Q2ZCErnQcHIJWMciYKHIeQpU4ZgYI8KxOf81eI4aPuCGCEmUmCF28QpihGgYaWAJYFaURkCIzTO00UaOdpRYtJNNkh6Sx/UZxGeQlBpDjufHfJz0kaFUXkoT+dJRivKlikRI8wZwx+4dD5OZjEElC0K1qhXVqAEQ5VGV6gkopRIaU7oWtq6EJf11a5beoWXaYIcmtvnDbfm4A45stDacWKIneDuK3piyN2T+ST9VocAjGMM4GJYoGqIiDA9aEgGQGfGcANPKEfqCAMsNdrA70EdeMLTYxSqxMIyFrAIiEBYeYEMNINKgYcIRgR101rOfBW1oO9tQupjIRApQw2QjgIDURiMCR3ADIdzgoWnsoKC60Icu+lKxbM7/xRq7eExEhXuyErDMomdcTS6q4VHmMld3wokHHWExAFg4ayCaJBoEptuPrKl0ecTbpE1v2smFJJKlDlka+QxyyaFOFxaH5KPyJjI/+aEySh6x33SocB3teCtcpsjASlY2YLYNcCCFuAY30CS3GhWgmMasD76SCSgHnIGLdDVtPN2QYDd40ECkIhDnSHMNWe0gGiLOpUsQMBbCvMSALkEsNSKQmg4PTivPJERMdEmjBa9sxSWaC6EEs08FVHEvIqQUNxCgANbyALE74IYPKgblHZzqUHBh6CSGu2VX0UBGrjsurRQMhNo118xslE0KROoQkv50IEsbQCjywQTlwcIT/wihnvJiIL2gwRkWhRzkDPQcEQwgTSLNs+NB2FsQOkOAeewTJfvgu5z7Wms66dAfSr4DYC+Yqcf+QBdB6sDg0nSVxHCQT1rpw5S2Tvgq/uImXVn8L1LtIDWEyKcNZw0hERd2sHq9xg6oIeIBtwQBoSv2S4RtDTe0xLE7lCcJEdDVEZMGdjnhhgJuLBcDhaUbE4pANKhMDdsiwGEDXS0ZhB1FEX6BBwpgxH9MCxeQPSK4XMb3ikqg4GSH2UariWOZzzxwYAnHSMmAiCbca918ANLOA5EA0R5uEJr2kc7qczN2uYuQGSi1auGFhcerlhBcEE0CmgC0oPthD0BjQJAYuP8z1mxaU0iScgDdVc59w3At/PG3v17yDi77PeCv5qMDQ2eXS+6QajzZi9USriCFHTCIuZLWYED8sMfA4o/LFcbK5dwh54LdQX2Ifd0tEXahqJETBGhx62MHMkuWrQaWRLaxYRG3aPX+2SMkWA2BEVVcgKwVRrgBAfFWACG+IE03hJtAutjL4rchZd0i4AvfbCZcaKjlfHd+MzRAME78HTvUYFTgBEe9kHz1Gp45pOTffbP6yufnTtZckcbrByxwIdQ3B8/ReA4eKEEJ05sihM5EkwJJSXlTPfa0H+1oufpanl6cG6Sp+LWfVLEUy+1w56oF8F+5dMISAw/EC6Ru2TX/asB0tSql1W6lMAX8A0PGnZAahsW/5SpnWF/3hRAi7AatUAC5uyYRW7fQSDutYIkVWwy0k7dCkTtrQKhb6bEVY7FN8IrFuzHE8KwPswax0zZC6Ta3KKHcWrIqmqJw8IH/Ax284KwkYoS+CJUjyyy6MJBe8LwcxIwS2LHRaxkyUILUE0JhmRnigIiL+y4p2D1OOgjg8Sk80zNnQSomwK4/ywdK6gc5S4iIW7nqSa89q54YIJqDqCP54kLiY77mk7mSojj5MggurL6CSKWPaKXp6LnssKpZ+pbvSBvwUJke9IebCDWCEIMUsxFPuxU4sA9Vy5On6xtlAhzAsrqCIRTx/0sPaiMxF9uBcCicAeSGGAu71NiBD3RAr0iNFWMotNMHy4mAcHDAaUuPreI6ThSyr5i2xgsQEUGA1NCgL5imvwuZSRwVIbsLQvCBu+CBI9AF2bora2CEi1EDMmAtNzio/9sEdsOmxNA8Q+kG1NHBb4yMifJBYMrE2amNjRrCdPwNjZKjh/AE3BuApMGAoOK9JkyqSUMq5eGefNCEq5ECegyqOGO4NzyeODSvg8jHg9i9UPKk6kGqAbAH9rEk8Vq+itw4hkAlVbKWKrES69CfLeEfPywE8eOqosuHPRg/S0Q6f+gAY3K69/ObC6oKZgo8xukm2HmZlMzJYDOUYWsJvv8wLGBbt5tIQGowNmTzB8RyQLQ7AhoDMdNawBdaDNtyicYTDFhElWbzhyMIncwjwRL5iggwRhlTA8Awxm6YhghoNmOkFHBAgGg4giWYLIYJjL/qSROpIbUjjG6IhtKxhocCR3AsI5bAyXGstkx8BShYvdNTR3UsQn7wHYbQJEUKgPTKvTg0CJWjLvh6pJSaGkYSyIWAw/UyNIMIgDEsCOVzQ4MYmn6IuYZIpBhQKj06KjG8yIhwqjosG7PxPi8pgDEJD9AQDdTQifIbiD+8CWqjEQQqlwJAA3ppRJh8K6k7A78EEcWpRW5EpxIaIe4somFLoNDYMcQawKQkEGMbkaX/TEp9cLZp8gfHKxQBoYab+DGwmAaG+gKtvAY18AF92MVr2KFpaLYf+058ApgvMEZr2CcPQQA3iIYvQIApCgwZ44YOO4K/GzYLxKau+KENBJmuKJ1m+qLA1MHWOQ3DbBl+O4TYqA0oaMwXrY2ZeYZcaD3RPB7csxrlCYV+lJ71kp5BMp7qQ0KJe01PyscblYCBTE3mozlIQk1EEiXcQ4iExADpmbT1+p6DUB88Uh7MXIim0rnomI5VyI6zIZMMoKhSo5FBPI514TGXaALofEmogz+p8w+wGBC6CkZ9eC03sAZxGJ1DCYcjuBRyIicR6TVfIwS9Mk8DPE+uQ0oTA40q/0uwHOucVbTKwegKf8iYbSOU+9yE1QqNIwgHvSKEGhKMxQPLBxHGw7CLKmrQYlSAaYiixQOHY+yYyGOywGAyLTqVGgpGCAFRQwGdQsFBEs1BLagRfkPRw9QJAoANadAdGKVWkGqNNVuI4rk5Q7MHqXlIgiwpKYhDJ4zH09RCJjhS3YtSCChSgiCpSGrS4iuI8bGHhDyI8MqH0VQI87IejHNIovHS5HgOKqkO7bgDMuk0saoRmDDJiJCCNrkJ11m/pmtEvskXSASUE/CXC1OceRIMHgiNcFM7teuKHLsGKSsUYR0LBZjUkS07tPtAonxUDTVK80wgxFIw2AKHxaOxef9KDQXQxpJ1g1G8MdgSjAXsyYXa0FYdlbAoPATQBXU6PGnygR1wsnAIvH0irCzKTzd4mBsKomaKmAgIFbAtjF1AVs8TAAJr1qRziSUYh+GY1mp9Ud3BVtEMmj4yzdWEuCxFCNxjmkKDhXYQQ0YKgGWZR0iKAXZd0qJJOR1tufGRJKwJBSmwV4qLx3zt0vKC1+NpUuG7zYdwqo18JarqPj080xkZDdEQIIElF7YZjUKg2AiaIDrFWApLBY9h2kcJIlZ1A9DoT6kkIZeYrAwDC7OzJsFwVEc1kaMUCwfMCaVMSnHTh74LNryMgNAIQcLQSq4TNoAxymtAAK4YGA/CS3z/UgxqOAIyiIDaKstBVQNCqFDcKhSt8AFqEqEFvSaG0oWotYbN2gsLmSxilBR2SFsuY4YF8DLRU8m2tbaWEIFckAaZYUy6JThfoaOBWCnTfNK+ZUODoDPJTZol1KM4ZALbzD2GIymD1Nu9nVziyYdvNQhEswfNDV0ybDlC2hpCGhpYeDklbYhUkgIpsJIy7ZI9FBdTwIE/XNiWYNOJuIM3ZQkcwQZGdMS2ut2MdYBwurKO3QpgbUrxFZXB2CFb8wceCAesTd9hkzsASYzyJE8HbF6uS0/zVM9NNKJmUwMQI7eWKDJvIqiq/IK+YrtNQFUa6qbdHZwiAgsi414ekBgf/xAwUCQMd7NAdpu3u4CtodUFhrmcI7AQ3Mqhr1iGA8a3zyAxWclEB17W9HiFGLVgC56IFiaIy/VgNyOI8VG5pLFc5WE5hWCCkqvh1CSalyMkQYuzyOXbgjjNFx6IizOaFUaOLc0ky7QHIAZTjaAWjQwJkXClOiBT3vTNG9gGQGxYiMACTAzE1OCCpuMT97PYOpU6q4C260wcRh6LGeOGPf6hrYgGraRGSVzZlti/XxNFnzTPOT6257VjOx47rVCDbdAYwxMMM9Y2PNWKzWEJxashi+6mgSmdrVgMwYMm+wWHcNPa/N0LQsAtQoHLbYgAaVIiTsGt2kIAaSQsKQIVI//aAXXboRzqBlMergVYWwps4GbVJcJcgiBExwqOZefaHX64Wz7KXGZe5jZTtONBtKbBACZoB5EzKghQFnBNQ5rbmoSw5dhzTRsO2BgG62ZmmqJCYVgYHijBPlbiSDv8ganKDu7rEloiA53EBuOMiHXwH2YdsBpwv/uwF5jM4qo4AQc4gWWANo69uo4xEEbdgU04VK0gBJY4AlbVBwERwGIzkzhOaK1AT4YWtoMWRa2wtWvgK7p7sp/tpq/4ptXa7MNpyq2sXxNJJ2xC34HJ51B2LSlSRmR0LACB0AblAUaIACYb2gvtEEYQUH/Qtm2KrY3JSwMW6oiigRrAhohdSVb/1gkFawThgA31fqOnNjP1fo2p9i6WSmus5mDu2eBaTsOkgsL93m+0XuZ8MB5Y8OC2LiWKRHBHgqR2GEj4qS/7qrQqAedY8pa0UWIvqIFyDkTYeWLcNIWV5IY45RM8iWdXm+fIZoVYG0GbJIsNO9lc0xyXGOS0KE+g7D8EQO1RFIsFBBhVhNlS3LA9DocN67DY/uPE2rvO2jB/qNq9O98F6WMfsG61jF8FOIJFBTwD2QGWmC3KYbJpUoBQ0QppuujCoFph3SG0/W6IKiPzPq6cIIBcYO/XQEf3FsIadYj8JghavmUQFio+z0eR4/OC0IQZCIUipcd2bYhmBmGiGWZp/95C9pGAkJseJgC03Zs4jKSfMPXmkghnq0KbJhjJW5mRc36IKP40lyiAtKrdR5RJyJZsydYDSKlJFieL+63QTA7jt1QLA4S2Dxmda4RZr+BxQkHALyAxvoregZomJZqGKyKDPsaGI9gE1cZExNYJ4SwNPFVktnBGHzjZqNWFHYgtbtgG7GYEVGUEzqny9kXQTxTBcGA3blp3SI43UjnWNQejonbz42KJbTgH13CNOmdvO4fqZ4CCyEwe2Gup4xlmd/Vb80m0fCjNgUjrPWd4RiOayn3mQZMIRrdq5GFr8xlIIO7l7blSiDuk64OOIebIO8TD0+2O7+Mflam2Q9yJg/9I5/K+hj0wCvvgG9t9dQqL7DPIMG20dbKIbR5I5CEHbWFUgOi9q+hORmhz1ErEhoVW7aSEsmvgCpgdQHDYAdj6zyMI4xgL35cgq2QjTNLAaAYZCxWsUMfjlJhWgJMeaRnjATI4AkY4nJ6Gt5DZJ2rE2v8gsuQVB8fQ99Ux0X63qNHogXGg4II3eI8yEteYo4jgc5XzTBvG5Ya7Gj2P4QDX4IwviHYgmhjwhHesR4iQYSid+JFHJFh4+DmDBbGWZk1oZromiG8w9FCYw/z6ZljiPu/7vm8JkzERl+UHjxcLJtJjSYMw7FTXiUV8CrZKpqGH9cg+AWbC0xVP+mhIMH//AHbDcE9gp3G5a2S/m/GXXc/mFV95C98d8AFwwDV9kDvbypHRuBCA8IdtBzVr1nYgTKhwB49r3BQsjEhNX0F9Fi9izKjx4kRq1BjyUBBBl0dqX3i40WVtmjVq4RSAixCNIjVdbtRE8EjTh5od0VoW9EEmQriZ1q7sS6p0KdOmTp9CjSp1KtVIXvxdw4bVH9euXr+CDSt2LNdrWLk14vcsFz+1bd/CjSt3Lt26du/izat37rO2KfIBDix4MOB+AwIIjjGgn6bBEvr1k0DYU2DDiAMHgEy4cL/Lm/PZMwwLFmTPnz9n7ic41GImgR8PwBAYg+bArPtJedxPNuAZsAbE/wb8TbeEb2HCQIMmRfk6Keuei4kupg71Hz/SYceiHQuJ7nu+d+hw506BAjdMmdpW1qvZsWbFCP6WoWt7sTVyUMiRQ4P+/BT+A+gABQ4QWKCBDpyAID3i6FTRRg9CGKGEFyGQ1Q4t/XSEQwgA9aACZu1gkTUKYKWATiT6s8MRXGHDzTUIUBONRwqI5IY/brREYwQRbOWPGggo4MY1hJB4zQ4sdWSRTvq0tINZPESTE00/GdSSkhNNKKGV00SpACEoKeCDD0cQYqSM+nAZQUgtYbiDGm4wMpGMXxCCwBcUWUQnnB6J4wpVfwIaqKCB3mCWVvWRlaiiiprlkD9AuAXXM/997VWppZdimmmkz/hx2malBcYEqI5BJtlpowKW2meoftYOZJDBQpmnqC0WWDuLhSKYbrzl81iugNHWDy69QsZrPp7AYg9g7TChSSiQefJNPtJ+Q221xx2XnBTOQRdddelo590e4ZFXQBNN4FDDNthc06iiWnkx2B0tMtqBBhTw5x+A+wp4YIEJAozgCXpg6WCWByOMETVutGjiTPoI6c8RFFnjITcpFkRNBOpwJRM1KO7wRY8Sb1KwPl+oIfEOCshoEA8I+ECURzsQ4gOKd+LZoEctRQDOxUccAQ4CPtHEkdEJRyinxke4gcCXdaKk0kRcChWBkvowchNBFVMzDZn/OU2D5Q7gEERNL4OinbbaTC3gVAlgabWo3HN/1R43ZBCwqTaa8t2335n2JU0wsw5mGWCakBYcqZF5ajhmpQUQueSpmTYYE/b89upiYEDAhKyE56NqPqIWqytkrgGGy2GP70Zs64I1BthvMwRbeXzXIgfNc+tMV0d23IEnXnnmNmFKBjh44UUNhawnNzd3CIbFoQIl6sC9+uGH377/9esvgQGfEP4gRWOJtPkSfuyjDxlTk/I1X8RYfkZFhnwEAvS5MSNWFzaNgBs+xYhJ1gjHitSgIX/4gE1fkFE4BNi1cNzPH0kqiU6aBA6suAFl1wDHNXhwhPKtBCjyO9+V8DQT/4+EQxc7+sLYQkSTaZwETkCJ0ptIUpBoMCICjODaNMLBCAQgQCWTWBsRi5i2BQggbu0aGd2amKj6tIcM58hFXyYVqb9hMYt/m1QVn5GCSoCOM4hx1mKGRRjiNK4zgknNq9r4qsphYAa4+M1i+pEsxUAGOIuJQeRwIYE/SmAGg1GVBOpoqlDlMZH9EOToHFfIfkAAA5KcpCRnULoALMZYg6nWtKqFO23xTgzX4Q4JwDMe85zLeBnIABcu1jyyXOMHgVlHK6E4lgLk61732h73BuS9BCFIYOFzADsa+BMSIvNBO2qgTnzAQTcUZYQYsVEHy+KQRsnkQxijmD7OREGU+f+DZTbCxhHC0TU2xY9J1OCBj3Y2wYp9wUZcgdLJFJAyrPDABw/LWTKNVhKu0aRrJ3QDDxZYMYscgQxls0Y0XsKNI8jInf+kRjc+YsBHMMOIGt2oVIxgifW0B1FOHOmilnAOK0rqLSjVIktbWql4hDEfiwmAFGJgmFBIYTNoPNXqWDe5yTkOMKQzDGRiIIGcjs4eeFSkG1HHOik8awDKGowUSEPUxcAidhIgjaw8QdSvMjUGgPHEAGDBSNBZyzjZcs50qLCKcH1nXOUiXgaU+MqwFEJa05pPWER6DS4ISAO61B4vfem97wkzfCc4Q84y1s0k9RNCEaARZStrWUJgBUj/lqXRhajhA/ZklmktcoM+QBYjK7XMSta4nxrgRyeB5KRiFXVQlLSCADwZRE47uElX3HBCinzBnmXhQWchG1mERUANPuBmTYAIv458AWbhCFtuJ/pYLyGCo9pVWwKiQoMaxI2k4h0pN3qghLaglIsqdSl720uXL4bRcMiK1Wd2uio1YqZWn8JvYCCwRwh8bjCawIAE7BGA27wKFoRRFVQh8BkpMAGQgYwdYKRgLCYEAI91TDAuPudUwnkSd7njVijrMEpSmrI8xSvExUTa1wIE5g6uFMv0rtEB/VxPX9vr3mEBptjwreIEj/BIRBmqTmkel0lOAm1frekPF7HrYiai/8aKulKzBZ7MLLc1LW4zFrbogkiAyfUHOJ5bkGnYjEaYvYYCGOqRCBxBAQ25pgdldKaV1JM+CLBaxQ6a5Al9jAd8nshBrrHch4XjC/BjEj+5ppPkliAS2510oNr2FBp4gV7j3bQTezCOZ0iDUuhdr3tL7d5nDA50kuwqUjczYAxQWKcS+LAnJPmZVQ8GGs2K6WBqHeCx2jofreY1sYs9q7SGGDnI2RZ0qACuUobHXNtYoou7wi4sAAYLTKSxP0xRBRxnr7ADMuyBwPfj8FFhEElCkk72+WclLXkr1ba2LRulAHWCIyQRAKg+NuGGiZUWRB4J29Ra8lqJWQmh1+jJ1P8mIk/qXWPfb15iV/J5J6CwhGIMjUAEwZG/iL4b0Ce59870EQ6C5mSCAlSSQYpGkWjcwBJGoDTN1WaVu3I654o6xDjesjcqitrUQmfvM05h7KMjPelKXzrTm36atC57HVi4wYzdsw1p0XLedStEHrAX7sLy2EDgS+wJ3LoKKvSCojkDecgvYg0WRiTucleIxD/iEi4ReiIly9H+yvdPiiQX4B2ZiA+Ihid9HBArBmSmS4qEEpkBRYRcO1M0jsADQuws4W2HkGdx0iAaHgHvAx88RahLQWucwQheuEHNWx+oSMzHXTqfvVgM5Q+ey0W9Q999FkEth045PfjCHz7xix//n056Mgwids4qOlBXRd1gWqZgFFa2sYrshZuwASJ3uYN57hME2a0nYAWhX675tnejQxYxJwX/2SHS/4TgjH5YACnWkQgg5E6Dx1JDTZIxfkfDTEzDysEdQijNznzBEcRW5k0J6TlWNChajITN5kkIDKFEnHQEI+yA1YiIg3QEhiScOOwCMyxACViCALheCkZFJGiB1tHeC9KHP3jaM0CBFbFF0PFeDmaKNKhFJoCR8QFhEArh0ekVtSBf8o0YdFAHuKBY8JySedwAuoSXWJBAPtzBojjENmBBMYCbf2jfuPUYYn0fup0dFdDDI4BgBVGgNwXUg/idB1aMOAjQ+3lg/9csSTq13MD1GYbEj85wDZsM4A05FpEFIP1NUMv4Yc5MIKNRoBs2CcZ0DZ6YE5N4U0VQELvtgp8sAA1ogRZImgqColLQwPNRHAyaIouElHndoErhoA66ol48QzXwYD384BDa4i0OYYgln1olByiF0nScmLiMi3iUyw0QT/GcSxNkmnuEgbZR21hwAxekAxfu0tftGPeJnfedm/id3dmpwiPYn3FtXgU5WvsVjN+VHgUd3iX2GfsE4v7x08vR1vvxYfm50wSWH0DpTJK0HJ4MoJ+dXyNmhEfogtPcCSL+BJGtYwfiGTXsgiAshQD4AwqGIiiOoldM4SnCIKKoYjXww//evGJIYgqo8UMmAB8uomRKCh+y7SK2YEsvLse2kJi3mBhcCc8TFE8GKI96hEUTSAEXZMWTuYcprAMX7oc1XmMYauP3UYHZncAPrAI9kB/5UKA9AlpJBJRqrePf8RM6ztAdltyVYGX9WaI7ORA6/ZNRROKSXI06EhlbCqTCYAmPfFBFWAlkJdxbMoke+MlSsKAX0EBFpiCmTQ/OaaRGLsEriFoVeUMVieRj0kU1sEUKpIDRqeRlYqYQJlsSltgoeYfwRKHxJE8N1AAXbNse8JUtfQU27IEw7Id/5BjYYaMYkt2PdSMV/ABu5mbahc0JlSWSiWX7RZY5wmVcBpRwGmf/cmoElnAN3OmQD8mZmRXNMR0UVorIGWQU2wiAJZSAYLaeETDPYYqne+BNNXSRW3RRK0LmK0qDNLBFewZDLWbmfNJn0kFdtigHW/UOdojLE0ZhE+jk8kybVzSBEiFKo2zDHazDMeDLa2rPF/aSUvrYNobf2eWmdVgHJ4AjNzHaOREncH7ohw4ncbphiJpjwphoiqroirJoi84MIahBjMIM/inX6Omjm52jNezCFWRUdvrlDdTAzHnnpG1nRo7nkXLF3UCKWrTiM4DkeoYkD0rpe+YCCsSDfNZnlmop0yWfckQHFcCVXJXHDZyHF1jCgfZIe3jBHqyDawrWYOkYL4Vd//eNIfhRgZ2uwoXqqXWcATsE1DEFp4oqZ6Bap3K66KEiaqLuTCEyxJ7B2U2oAWbFBHOV3DnqwyNMgjJ0VCF055BqVwlgQ2EiKZI2Clp8mlvkQqitFJSKJA/yAwrwQwrwIGUmw0lu6a3iarHdZ352Cy3Qgok9m7l4QSGsCxfUQBPcAQmsQxgcw34IVoNCq7jNKW3WaYW6VVNiaLZi6CDogTjcZZIxVLj+hLtNSJWYKzqhq/2h67iK6//937maK7uyK7zSa73a673ia77W687ogpfAzwDm0Mo4jQ8QHJv8Fk30wiT46ApqwQ18oqcWUSTcQNy4yKhabH30wDmgZ1tog/96sqqpSSk/uKc0pIDIpmoK5EIKoEAuZEIwnIIfVAKW5urM0mzwfUMlhIEwHIMzPOv18EeOQWiEhuEYhh+e6qluWscG/IDSbsA8DMIZ6AErsIMcjiOJIoyI9hPWDuqgElkE1Awj2uHJ7IgIUYQ4sMMu9MIZXIGmEkoGBCbEBsrC7sMCqJ68bZvFaqRI4Q1bfOxjhix6tedbtCfJyiqsVikKoIDKIu7iMm7jLu4DoMADSO7kUm7lXoDkXm7mXsDmci7nWsDmfm7oWsDokm7plu4ETIAFoO7qsi7r6sDrwi7sAoIOAELt2q7tjkDtjsDu8i7vhsDvAm/wCu/vykMIyMP/8SJv8iIvADBv8zrvCgAA9ErvClAv9aICKqwA9l7v9b4AKrxA935v+H7vm5Jv+eJLvgAIhE4rtY6h+F0r0mpr0ibtBtBv/dIvA9zvBuAvA/Bv//ZvBTBABQCwABNwAQswB1QAAnOAAi9wAzvwA3OADUiwBKeBDaTBBWNwBmNwAlxwAnjwB4MwMySA3MJt6wmAF1Bk2viopUmFxHpiCavNduLtDMdgULZLI/Rc37KnyIosD6YsP6SslMqqrErDyran4iqu4zYu5DJx5FbuE1/uA0Sx5nZu537uBYQuFmOx6Zpu6o5u6oKx6rbu6urABJRx7NLu7eKu7gJC77rxCIQA/xzD8fAKb/Ea7x0rr/ICgDw47/MyL/X+cfVib/Zur/casviGrwa8gCKXbyP/R770h5zO5r/UJrrhKW7Cr7Yy7dLar/3ir/7qr/+K8gAH8AAb8CkjcAJDsANPcCtPcAXDsgZnMAenAQiH8AjjclIwAwnDMEchEReksOtFAnh2ai8HCg00QZLabdXRsMUmJhDrsA5KKUnKaqqSbMqiLGVS5uImsRIvceQi7hOL8+RqrhRTcRWDrhaL7hZz8emK8RiTMeqWMSCY8evOrhrfbu6+se/KcRzTcfDacR4LNB/vcR//8UFD7yBb7/YSsiF77/c+9CKPLyM3Mn+85vUg5fb90v9Sfp+1Hm38Mm0nizQoi7L/AvD/BnApnzIBK3ACq/Iqs7IrW7AFy/Isd7At37II9ygvG/NG0UAhsJ4KC8ooBmlPA4oAgFeo1ge7NHMzm4UI5DCldCylLOaqRvMO8rCUDm6sUibhanM3e3NYM/E4U+4UY+7mmjM6Z7E6i247ky4YhzE8xzM9y24a4zMb7/Pu+nM//3NAG2/xDvTyFrRBR29hV2/0Wm9DFzL4RvT4SnRFO+tR/myc8ssks69tXquFZrImj3T9fvL+lrRJp7QAqzQqszRMQ/AEL3AFzzRrXzBN23QtczBO67QH74OPZlR3GfVGRYIJ3oAAGMHDblckCED/XQXzbj+FxGoFUzd1c4PFEhCAenERVefeVWN1yA7u4A6xV29zWHvzWDsxWWPueKM1OltxOq+zW7tzXMt1Pb/uBMyuPdv1XetzXu+1P/8z8f71fgs08xJ0H0OvYSO29QLA9Sr2ITe2Yz82Rb+pZONHbILdRpsbhb7vnnJ2Z4s0aIfyKI/2aK90ATMwai+wDURwBM/0K8N2LNs0Tuf0CN82ctNcb9eAJRSCFpSAEbztRhmBFlgCCgs3jDOFAJhmqDp3kccgVxzCK/ycpOieVVv3XbgqD2d1Dx8xyXI3WHu3Eo+1eJf1WUtxWqs1erOzen+x6orxO8PzGbv3PdO37tp3/z/PcV/jcWAfb0H/t0EH+PRGr/Ya+GI/dIJL9CJD9s86KGVr9GFx9Ll144VudraG9EjvbyhveEmTsil/uEu7tIiXuGqjuIp7egeDOm3nsovvMpBv1wLQrQCUgBYMq40LAA0IN09DBd3GHKcKqakzhRHUVUi5oJGPZ8XWBzeIgBJAAXqtqsc+OV64auBq9XZfOZZnOTg3MZd/+ZdzLphX8VqnN5mbOXvLtZrHt+zeNRu38Zvjd37r95wPdPPeeYEzLyq8O2IX+EL3+faCLyI/tqALOvk6eEZXtoRX8ipYaxnGL4YqLSdjeKSHNkp3+KUf8AGH+CqT+KazNgXTdGtrMP8te7Bs27JOK4Ws47ratA2q78Mwr7olYEMN3EAJ5Pgxl8Dy3IARsHDI7wMNTCyRG6avO3WjXAMZAMGnNSmTJnulYDeVWzllYvNXR7t3Uzs5j7c5Y3u2s/WYkzl7o3nrwu6azzc+17e5x7mc/zWd1zlh4/mAV2/2Hri9Azoj73v59jskG7pli2FHX7KFFzyGgzJJg/bCm3JpG3AqZ7qmkzint/Knx/bGszgui/Bt9+iL07wRzbykRQINqLoWFEKN3/iPs01SUH4GWELMR8LMm/omlsCQY0VI6Xxzt4uj8LrP5/B6PenQK/uUZ/fRk2ziavPSO67khje1TzEVR72YX3H/W1d9t6Pu1ZOxmr83m7d5Xus1nKO7fov98ra7u7s7vAPy2fO5n0M0IrM9g/M7oT+oJK/vhCt62RF8oxs83nu23i+8h/v9Sre0iA9+iXNAxb+y4Yc6x7c4QDDbJ3DgPoMHExxUuJBhQ4cPIUaUOJEhDQEltFjiIiBiJAEZM3CkOJJkSYORSnDB5u/aNW7+YLq8BpNmTZs3cebUuZNnT585X66c6Y+bSzJAlDzjt5SfUqZPoUaVOpVqVatXpfHLKo1r1xTSUqTIBTZsChRn0aZVi/bB2bYP4MaVC/cCXbt1L+TVu1evhQt+LQAOPJjw4AkWJhxOvJjxYh0TdETWAWgy/yDLly2PADSCc2fPIUaAFh2CdGnT8kKgVp1aXmvXAOTBBjCb9uwVtG+v0L0bVW/fvV+gCv6CeHENL45rUL5ceQ4NznNApzA9x3TrDig40L59+wkH3r+fEH9iFRXyVMr/oPKDfXv3PzbA3zCf/nwG9jcw0L9/fwUG/gH8r4IBCSSQgwoOTJCDBRlk0IYFbYiQgwgjTCMNGyzMUMM0ErCwwwRADJGZBEYc0SBmCELIpBVZbHHFBQyiQYsMInFoASNuKMQLkVzsUSIYFaIhJWxmeomloWha6aclmWzSySVnQrIommbaRoRznsmlqS2v6tLLL8FkaiutugLLzLBQKGutNf/XfGuuN+XCS06++ALsr7wC+6uwwg5DTLE/G4NMssckw8zQzTbzTFHRQgvNtEdJU821SSmdLbbaAEAFgNsy3VS3THVDZYXfgBNOuOKISw455piDLrrqrIv1uuy40w4878bLdZUT0CsvvffYi0+++ojNz1j98uOPvwALbNZABKFtUFoIJ5wQwworvHBDD7kN0VsSwRUIxYVS9NHcc30UAJsSgAyyBEu8KIGGfWpE116GcLREySRxQvLJfwEOWGCbDiFgHKeeUkrLhJl6xmGEp4I4zImhGtOrMstC0yyz2GTLLRTchDPOuPB6QE6T68RTTz33bDkwQAMNtNDKDkVUM0X/P3MUUkhRi1RSSl+7FFPaNM3NU95INXU4VFNddVVWoXtOAwqqm1rW7Git1dbwchVvFV/RWw9Y9+YLtthjk01W2f7+E9DZZwdUcFoHq5XQWgy13ZZbDjn8VkRwC1IooXsJL5yiGywpwYiDhCwk8cUNJ9wjLbCpfODLMc8c85nIEOGVhbNK+GGlJG74YYpRtwrjMzNGs+PX3RJ5rrpMRpnO21XO02U+AfUz5scAmYCyQSm7jOabce6M0dF2jpQ1oKEXeujbNAU1VFBJHVXpU5lG7mmon6MgfFivxk7rrW/tWjz0eE1PbGDji/9s+u6rf239mBXQ7bcRlHvuB6mFLW1d/8tCeMvQh0DUN7+V6ESBi9wDIVgRynnhBiUoQA0scQMjRKJd+xhcBEsSCRypJCb+0twJUZjCm0hpCUB4hcOaMrqIlW4pC6Nh6qoSOouV6UwoyEXG0sIx2MEFZCCTXe1EVjI66e5OdnJZnwzju5gtJniDmgzNDoU8nC1PZ5D6QGpO87zotWZomCqap6yXtO11z3vK+R74okM1OZYva7XClfrIcx73jY1sw5offu6nLAANkn8JitbcpPUgRVIoQwTUm4cQ+LcSJURcggPhJQ1nES14oRBauIEA6oXJFYmwAIVYCZFUmEpVqhBJK5nSEkRgsC1p43QMgwrpYIjDiemQTP9c+UrrNiZE2KWlLUU84shsl5dk3s6JLNudYWDWmMdApoqEuqJlsIioRG2xUcxr3hfFOMbYSA9T1Dsab0aVzt8Mh3uoUhWrlhM1qlWHfLIy3/nQ17WvtW897xub/P54n2PZb23549+zFNS/aS2SQoq8ECMfeUC+LTBclCxIuUSZ0XNFggZGoEEoNRoRglgkR6c04SpRmtJ/DcVILKESUXoQy6RoJYZVeUbodOkli9GUh/z4JVlaN0xixu6YdkFZ7XC3F7/caWXPfBlioDpFKkJGUNfMZma2mTwuNi+M4nyNbMrIqU2NFZ1qZCcb2/hGqTlHfHO8Gtbw+R25qm9XYPv/mnr4CB8/1kegAw0k/vR3UGcdSKGIBCCE8hbRvUXyW5M0UUI+GFLJThaTFilABiynpJaolLOdFZi/WOqSJTQCCAQ4Ry5kaNOcdmmnPPwpMIW6lmIasahHPRnulppbZ+6uT4rxnZ+Cl5hpWjEyNcOMFnO2Va727GfiBGs5Z1O03YRKe6LyzVm7lxx4xvM50plaPadzz/OlT595DBte8wrQ+dUvbYJsm0EPmlBE1q1uDbWvAbfF2MYCriEYpex/HRJZADvECBcpKUw0GyXPLpjBOyHSTPYVk5dIiRsV9gcZlnAIEZSWAK84hxKUMI5xLAWXozPxiVGc4qhspadiAaYw/4c525DV9i7LZGYTcyeYZyYmqlKlqjWvetysarWL3/RZa8AYvefihmhkPWd116m07KZ1u/IELx3HO1eukaeuYVtFXvWq3rMhi6CAXdZ7Cdks+c6Xvoq8G34Vm0C/gWiSJELRnQec54n4N4KR4GhHC2xgLWCwckTSbExeSpREN5jRnh3Ko1eoaJpMGCaUjnCjMZ1pTevEcje59KZBHWpRj5rUPWnpCqdkwpNeLsJKOvWpkQTpUs+a1rW29a1xnWtd75rXvfb1r4EdbGEPm9jFNvaxkZ1sZS+b2c129rOhHW1pT5va1bb2tbGdbW1vm9vd9va3wR1ucY+b3OU297nRnRduda+b3e1297vhHW95z5ve9bb3vUUdEAAh+QQFCgD/ACxgAoAAQgBAAAAI/wD/CRw4UJ/Bg/qoCaSWsKG+aNYSKiRIsaLFixgLCtS38R9DjxsN/js4MlrGkygxIhyJkKFEjiMJwkxJMyXJkA4ZUqMWzaXCiTWDniR50CdPntaS7hwJVKhTmRwRNqRmjWpPiRFFPt0KVarOnQmneTS4synXrVIl7mT0JUKEf190tTyLcqXInlU5fv1yxA0CQoT+ujnypezEhCzpQo1ZNOK/qtbCHSHEY/COy0f+8UDg40s4iDkVy+zIMmHVnV/c8FAQYdpD19OmRfChhtAOsA8/ii4Y1aDjqtG+/N0RTXZfBW58RKA2bQcCNTumUdW5OyZOsganpUbwJbiCzQrCI/+o/EW7GzUROE7Lu1tr6aRMffCIYBIBgh1sv3xhFGG4STf/MKJPVWK1lxhLVD0UAQ//mESIG2z58BdncSlASHpv7QCSbooRVZRH4Ui4nxtu6NIfDz7sYCF6uiDgBjWMkPgFUzPRRVRpA7aoQDQ7oPdFYOnx9IUCanyxAw/EHTGfQtZ09NBAEzHUU129+WbQj7f5AKCF5QmUHwIK6NgcdI8xhh1DTZKlVEYzzUVNf7e5ocCPRzQZTgSq2UfIFxK+qcYRJgHlU0NK+VQXjh/tcCE1CBwRASEe8alGoz5wwwNfCPBnG0gNJmUSXtJN59hQiZHFU38ByknnNEQSpg8jRGL/eueFBSk0JVndWIOXS2zeVBo1dEaDnC4KIKCLnGC9yUNfHjn31kbJDniaTmHVWJFWImGX2o5H/vOoXxAOyJwP4NgmzhEI0LgTcAyJM5sCO4SDprXXljrSafKN6AaPanBDpmvAbjZNiwEiZA1fhDEin4tItrtVRAH7oKwPdxKZKZPTKGnkorowAqOSPDxoH2HE7pnbT03atC41tC13JAIR6CIcoCy1CKAPuqALL5FzCucPcRwJp4Bp60mX8lBl6XPsnm+elxxghZW0wzVqaEmIlpbeJtCRxDX4j5IeQZzVP/uQ+o9rB//1rIp/Vb1TT+Eo4I8ac+rzxWa6xPbPsQjI/7uTzWga9g8zJzGZbGpLdBZNQowoGQHE+kSgBoBR/UOG1tbw9ydVEXFNoEDWKJNSgkvB6AOk8LrVI4DQFqsLc9S0uCdIMTINol+64CUUYtNFE00EfQEWGCHopfn7slSdvYM/RyR4fPMwLbiDRN0EpRV1JsmsOp4lgqSPfPR5qVp6j8nmGXbFfuFedSOhI/n0TP2ogIAKRbCEAjHpBvndRww4Cfug2wmXoHUE9Czla0dgRFUGwh6OTOYLu1BG2diXlHD8yAeImQYjXJQ3asjLY0sZG3yCQwgFXGEfE2SfPrrBsj2F4yARuNy8fhKohoBOeWoQwAJSWJ2EREMXJSzTx/9uAxzEjCWADaKKHm6ghUigEIB6EQt65AUTEPLkMWQRiEkQY5J/CKAQAkAhD+lilA1CyHvZ0qJj3va2mSzgBl6gwRN72DGqSG86lSuQQow2II90cSBGqEEJdjhGmlxxIcA6zg5iJiFddIo0NVlAJErgBSPMMSiO0QuwVIMcHlTGDdvIzL2MiBIe0sALJXBiIU9yFchYA3yvAl6xJhW1Jh0tKJPUghxXyabTJKRFPugJTzTYlh3M6DGLu2VNvmjJS9akIb+7D7V44rf80asmlNwlL08ixkAKAIAUoYEWbkA2Z9JEjJLUQgZoAE6B0OAGlmjmNrn5RCN4wQs3KIERIrHqm0gIwAuWEIAq55kRMaKQBiXQwj21UAIBsHMrCxCAFiyhBXkSlJ4GjQQNBHCDDBQCnwIwglCMcINCaEGgBr1oQVMqRo0aoQRw9AJDRZqRBby0EBlwaEoVU7YnsnQfkjQCR+9phAVcBKH3TCVLd8PDnqITnTTIADkr4k8tCPIfhDRoOy0CVK0GlJ8CqWohbmBRlYJzgmK8ATZOKgCOmjSMWt1qUFCYy4/KVKALyCrZ5DpXoNJAqCLtqjn5es6nZlWMBDErYX86WMI6ZaeOjaxkMbJKwk32LIq9LEX8YZFrCMQfnOUsQUR7kYAAACH5BAUKAP8ALCQBeAB+AUgAAAj/AP8JHEiwoMGDCBMeDDGQocKHAgGggkixosWLGDNq3Mixo8ePIEOKHJnwwz95DuUJdGhQHoB/Lw+ugEmyps2bOHPq3Mmzp0WGKlkilEeUps+jSJMqXcq0qUaHDEOoPHlQJYCpBCX+Q/UyJqqZTsOKHUu27FKgAosmjGm0IFazcOPKnUsXI0qsQauyJThRINeIXPvWHUy4sOGjd6WuJXq14MuZgv+BPUy5suXLGL99CxNGyrp1Yur8SIcFCwkSe/Z0WN3hTgFT/zLUKPSPNubbuHPD/SbwW75/vnlvDgPNc2jSqFu7vtHElKkM0GeTEXiNm+7r2ENSs2aN2vbtArnr/9s+bft4a/oua+bNGVrxz2JCjzaNWrXyAvgL/HvCvElzHFz8c012BBa4ETUCIfgPguP9E0145S0YDYLUpIfZesS9F59o6ZBGX32pueafc89lYJuBKKZIkXfdLdidd198oYuM4Qj04EDWXAhcPsIBx1kYArnnnmeg/UBCBwV4sQ022HDDjT8GQanilFOyOBA1X+yggBs8IOClAjt8sd2DFlom3HBDghZaHR2WZlpqrRXQBA6zccHFNv5cM2BBe1LpZ4HRcPfPFz7woAYPbiiggA9cqoHAEV+kV2Fd6wn3Y4bwcVgaiPbd4WkBN9zA3z8jepHnnv6cKuCfrGInaDg7EP+iBphfhDNNeYxk6cahPnxxI12V/jgkkRtqumlycRbAn38jmuIFNv9AeU2qfUrZ6rW3UcOID45GwMh4MzIyY42M7IAAOG58UVmPBFmKaZHpJIdff9B54YV10ebbJ7b84satArqEQ00EjPJACCEI+PAPI9Z8oYA/6c7FW7sUbzYsaJqeBuenoDLnXEHW9ivyYCwiGOg/sKpxBIKEHuqGDzArwAMPvVKjyxHgKFCjiwsqiBR7//z4z5DFEcshcvWtxvG8/4S6H6n+RTvgqSGPbHVc4FE4MKI1RrBrr+GIy0g4Dqsx6Hg+cBOBd/pYE02ZSbEnbJpqytfmh3Aq7do/+O3/119zGVCr79WEy6Xg4QqoEYE+ESCgeDQRHOEGIW5AOs0Oarihiz66eCkwei0qNfFB7AYtrBRGU4Gcaq49Abi9NSwRoEDQ5lv47WV552IEPCjwjy5crh0rNwgo4DgPO+izAzc+CLz8DuWNB3dhaIJGS2mq4fe6FzXMJq1AVeMu/lI5JkhNN4VGEM3z1GCOgLdkN07GDtTIvPYXvTPioD4N8jQARxjCVHx+cCzWuaZj/qkBlL63r/E58CihWxAj3IAA/SmAEF+IQOYcVCFwcSmD22jePxAwqGnwz2dLWY+P2lO0z6jJWPRJTd48dUBQNWEbDXygDpGiNYF0TgE2o1mN/wjBQfRkKQKYOwIjvOQrN/wjAv9IT//iBpzhEIdY8plPDO2jnOWIymOmwEEG6AS+qe3wjD3xjta+QAiF4e8IuqBcNAJVLseRwXFuoIYPCBGBTdiPQm5rysQqZTohYfFoGtObDZ9jr0IUYhtojORRvvOPHEWgjQNTQ5ja2I1peM0fbYwVOBAQjSMsYXHcElOOLJQj3YVHIG2jxq90ciY0oU5NBHxTp5Yzogw8hwvhk6Qwa6K77rDRB9bgHaQQ4IYHIYBm6noiN9ygjyOoQUzG0116Wjmh7oznQd150TR8ohngCGRuxmFTvJJzhxswkns1gOQw52kTn3mnc05kowKmIf+zDILDBwzyzgeNh00EhEMf4yzTi84jzhfNkilnIs462ISadpoidncKUA7pyVGPaG2CCNDFPyjICA36YAc8QNmE+Mc7BBBCZ19wgxu+VckErXRB/JtRBHwFnp4EME0D9BCI7sMc2TgyQMHsqFIx0kNqHIEMEbic2cJhTUJMc3NtQxso16bMSdkoPboQqTXC4bWZuWFxruRJAFEXnw4l8j5y+o9s6iSgPC31rkylpEB4p4AJfXBbZJhW8io0IfwhQHc8WFyZsCQ5N+xAF9xK2BEQtbmHduRM5jwnZ4I2EEPeEmOr2OKnigodbCQVr6g9SOha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-- ----------------------------
-- Table structure for t_commodity_pic
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DROP TABLE IF EXISTS `t_commodity_pic`;
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-- ----------------------------
-- Table structure for t_commodity_unit
-- ----------------------------
DROP TABLE IF EXISTS `t_commodity_unit`;
CREATE TABLE `t_commodity_unit` (
`unit_id` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '单位id',
`unit_name` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '单位名称',
`created_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '创建人',
`gmt_create` datetime(0) NOT NULL COMMENT '创建时间',
`last_modified_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '更新人',
`gmt_modified` datetime(0) NOT NULL COMMENT '更新时间',
`is_deleted` int(11) NOT NULL COMMENT '是否作废1表示作废,0表示未作废',
`sort_no` int(11) NOT NULL COMMENT '序号',
`version` int(11) NOT NULL COMMENT '版本号',
PRIMARY KEY (`unit_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '商品单位表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_commodity_unit
-- ----------------------------
INSERT INTO `t_commodity_unit` VALUES ('3bb9c6f09cae4340a399be6103d71494', '个', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 09:40:03', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 10:35:43', 0, 0, 3);
INSERT INTO `t_commodity_unit` VALUES ('a936da6627684588a68330b86a0152c8', '件', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 09:39:32', '6b66883e1728428b88cfb5892f13df5a', '2019-05-07 10:35:51', 0, 0, 1);
-- ----------------------------
-- Table structure for t_customer
-- ----------------------------
DROP TABLE IF EXISTS `t_customer`;
CREATE TABLE `t_customer` (
`customer_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '客户id',
`customer_number` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '账号',
`customer_password` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '账号密码',
`customer_name` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '客户姓名',
`customer_is_used` int(11) DEFAULT NULL COMMENT '0启用 1禁用',
`created_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '创建人',
`gmt_create` datetime(0) NOT NULL COMMENT '创建时间',
`last_modified_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '更新人',
`gmt_modified` datetime(0) NOT NULL COMMENT '更新时间',
`is_deleted` int(11) NOT NULL COMMENT '是否作废1表示作废,0表示未作废',
`sort_no` int(11) NOT NULL COMMENT '序号',
`version` int(11) NOT NULL COMMENT '版本号',
PRIMARY KEY (`customer_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '客户表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_customer
-- ----------------------------
INSERT INTO `t_customer` VALUES ('6564a9c6c1ba4953837764c18fff55c8', '2233', 'c4ca4238a0b923820dcc509a6f75849b', 'ly', 0, 'system', '2019-05-02 10:37:18', 'system', '2019-05-02 10:37:18', 0, 0, 0);
INSERT INTO `t_customer` VALUES ('7ca0066631d542028252b6bbdf13d767', '007', '9e94b15ed312fa42232fd87a55db0d39', '007', 0, 'system', '2019-05-07 10:41:32', 'system', '2019-05-07 10:41:32', 0, 0, 0);
INSERT INTO `t_customer` VALUES ('824752862d5f469dae00d0d16d09059d', 'a', 'e10adc3949ba59abbe56e057f20f883e', 'myg', 0, 'system', '2019-05-07 20:54:44', 'system', '2019-05-07 20:54:44', 0, 0, 0);
-- ----------------------------
-- Table structure for t_order
-- ----------------------------
DROP TABLE IF EXISTS `t_order`;
CREATE TABLE `t_order` (
`order_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '订单id',
`order_number` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '订单编号',
`order_price` decimal(10, 0) DEFAULT NULL COMMENT '订单金额',
`customer_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '下单人',
`order_state` int(11) DEFAULT NULL COMMENT '1待发货 2已发货 3已完成4已撤销',
`order_date` timestamp(0) NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP(0) COMMENT '订单日期',
`order_address` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '收货地址',
`receive_tel` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '联系方式',
`receive_contact` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '收件人',
`order_remark` varchar(1000) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '发货留言',
`created_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '创建人',
`gmt_create` datetime(0) NOT NULL COMMENT '创建时间',
`last_modified_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '更新人',
`gmt_modified` datetime(0) NOT NULL COMMENT '更新时间',
`is_deleted` int(11) NOT NULL COMMENT '是否作废1表示作废,0表示未作废',
`sort_no` int(11) NOT NULL COMMENT '序号',
`version` int(11) NOT NULL COMMENT '版本号',
PRIMARY KEY (`order_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '订单表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_order
-- ----------------------------
INSERT INTO `t_order` VALUES ('1e4a1ab469c84c4bb142ebcfed9a7c4b', '2019050709141704670542', 59, '6564a9c6c1ba4953837764c18fff55c8', 2, '2019-05-07 14:09:50', '320000320600320623安阳小区503号2205室', '18564526235', 'zzh', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:14:17', 'suhaotian', '2019-05-07 14:09:50', 0, 0, 10);
INSERT INTO `t_order` VALUES ('23a322de58184b35bd164f09dc8d94ec', '2019050722251850212050', 118, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 22:25:18', '510000511700511724新华苑', '13856452326', '刘洋', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 22:25:18', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 22:25:18', 0, 0, 0);
INSERT INTO `t_order` VALUES ('27e79c1b60fd428f9864466fb7cf92ad', '2019050721513317993884', 0, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 21:51:33', '120000120100120101辽宁省大连市甘井子区区软件园8号路', '18311111111', 'andria Alex', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 21:51:33', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 21:51:33', 0, 0, 0);
INSERT INTO `t_order` VALUES ('440c83721eca49888d4603f79f1bdcdc', '2019050711310712875264', 384, '6564a9c6c1ba4953837764c18fff55c8', 2, '2019-05-07 14:09:50', '210000210200210211大连东软信息学院', '15863252632', 'lme', '给我换成顺丰快递', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 11:31:07', 'suhaotian', '2019-05-07 14:09:50', 0, 0, 2);
INSERT INTO `t_order` VALUES ('49ca0553ff884710b56a1b14ff810339', '2019050716092974625368', 0, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 16:09:29', '510000511700511724新华苑', '13856452326', 'tsn', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 16:09:29', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 16:09:29', 0, 0, 0);
INSERT INTO `t_order` VALUES ('718ad4bff2674bb59831d3ba1a5491cc', '2019050809511685147250', 118, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-08 09:51:16', '320000320600320623安阳小区503号2205室', '18564526235', '赵振华', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-08 09:51:16', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-08 09:51:16', 0, 0, 0);
INSERT INTO `t_order` VALUES ('720aca7d299248118cf3d54615152057', '2019050714302406790583', 59, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 14:30:24', '510000511700511724新华苑', '13856452326', 'tsn', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 14:30:24', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 14:30:24', 0, 0, 0);
INSERT INTO `t_order` VALUES ('72a0fff6195b403291c7c85b08a1ef84', '2019050710153378356285', 222, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 10:15:33', '210000210200210211大连东软信息学院', '15863252632', 'lme', '要快,急用。', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 10:15:33', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 10:15:33', 0, 0, 0);
INSERT INTO `t_order` VALUES ('72d7ae5f781e4c368def33bd69c1453e', '2019050709112224250749', 15, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 09:11:22', '210000210200210211大连东软信息学院', '15863252632', 'lme', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:11:22', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:11:22', 0, 0, 0);
INSERT INTO `t_order` VALUES ('8cefc2d930224372ba81370028c6e8a9', '2019050717130407980276', 155, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 17:13:04', '320000320600320623安阳小区503号2205室', '18564526235', '赵振华', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 17:13:04', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 17:13:04', 0, 0, 0);
INSERT INTO `t_order` VALUES ('b2ebc8649a9e4855bb69a88fdb9cb9bf', '2019050709525884497834', 177, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 09:52:58', '210000210200210211大连东软信息学院', '15863252632', 'lme', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:52:58', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:52:58', 0, 0, 0);
INSERT INTO `t_order` VALUES ('b2ef92731fe74ba885b44bdbac1d4076', '2019050721493537331345', 241, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 21:49:35', '120000120100120101辽宁省大连市甘井子区区软件园8号路', '18311111111', 'andria Alex', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 21:49:35', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 21:49:35', 0, 0, 0);
INSERT INTO `t_order` VALUES ('b65a326cdbe34dcfbe69dcb296f32efc', '2019050717225050354726', 45, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 17:22:50', '320000320600320623安阳小区503号2205室', '18564526235', '赵振华', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 17:22:50', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 17:22:50', 0, 0, 0);
INSERT INTO `t_order` VALUES ('ba405b312c6346ad95e1b8bd47342d84', '2019050709172714669759', 30, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 09:17:27', '320000320600320623安阳小区503号2205室', '18564526235', 'zzh', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:17:27', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:17:27', 0, 0, 0);
INSERT INTO `t_order` VALUES ('c0a50c5977e04017b6caac42a20a83e0', '2019050709022252136908', 96, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 09:02:22', '320000320600320623安阳小区503号2205室', '18564526235', 'zzh', '快递', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:02:22', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:02:22', 0, 0, 0);
INSERT INTO `t_order` VALUES ('c20068028fda4dcbaba7d92ac3103874', '2019050708580510432334', 96, '6564a9c6c1ba4953837764c18fff55c8', 2, '2019-05-07 09:17:50', '320000320600320623安阳小区503号2205室', '18564526235', 'zzh', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 08:58:05', 'a', '2019-05-07 09:17:50', 0, 0, 2);
INSERT INTO `t_order` VALUES ('c747dd46df454589aafdca5f9588585d', '2019050711300644471844', 90, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 11:30:06', '210000210200210211大连东软信息学院', '15863252632', 'lme', '赠品别忘了!!!', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 11:30:06', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 11:30:06', 0, 0, 0);
INSERT INTO `t_order` VALUES ('e6e37c31ff31431d84adfb8103ef0568', '2019050722233004743217', 118, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 22:23:30', '120000120100120101辽宁省大连市甘井子区区软件园8号路', '18311111111', 'andria Alex', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 22:23:30', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 22:23:30', 0, 0, 0);
INSERT INTO `t_order` VALUES ('ef22f18715924fa482245cb72a61cf21', '2019050709543709505128', 30, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-07 09:54:37', '210000210200210211大连东软信息学院', '15863252632', 'lme', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:54:37', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:54:37', 0, 0, 0);
INSERT INTO `t_order` VALUES ('fadac8a6e928425894aa1826ecf750ec', '2019050808325675787456', 45, '6564a9c6c1ba4953837764c18fff55c8', 1, '2019-05-08 08:32:56', '120000120100120101辽宁省大连市甘井子区区软件园8号路', '18311111111', 'andria Alex', '', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-08 08:32:56', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-08 08:32:56', 0, 0, 0);
-- ----------------------------
-- Table structure for t_order_detail
-- ----------------------------
DROP TABLE IF EXISTS `t_order_detail`;
CREATE TABLE `t_order_detail` (
`order_detail_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '订单明细id',
`order_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '订单id',
`commodity_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '商品id',
`commodity_price` decimal(10, 0) DEFAULT NULL COMMENT '单价',
`commodity_num` int(11) DEFAULT NULL COMMENT '数量',
`commodity_total_price` decimal(10, 0) DEFAULT NULL COMMENT '总价',
`created_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '创建人',
`gmt_create` datetime(0) NOT NULL COMMENT '创建时间',
`last_modified_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '更新人',
`gmt_modified` datetime(0) NOT NULL COMMENT '更新时间',
`is_deleted` int(11) NOT NULL COMMENT '是否作废1表示作废,0表示未作废',
`sort_no` int(11) NOT NULL COMMENT '序号',
`version` int(11) NOT NULL COMMENT '版本号',
PRIMARY KEY (`order_detail_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '订单明细表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_order_detail
-- ----------------------------
INSERT INTO `t_order_detail` VALUES ('0a4b66a34cae47aca8f88ec5d6921a52', 'fadac8a6e928425894aa1826ecf750ec', 'fcf0b1bc06104aa0b84d6a6c5c088e55', 15, 3, 45, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-08 08:32:56', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-08 08:32:56', 0, 0, 0);
INSERT INTO `t_order_detail` VALUES ('17c8c7f771484fd8bd5288b77eecf55c', '8cefc2d930224372ba81370028c6e8a9', '618686d79c254bfe99115237bcc5ac6a', 59, 1, 155, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 17:13:04', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 17:13:04', 0, 0, 0);
INSERT INTO `t_order_detail` VALUES ('2f05a4a71bbe46dca97a81762f292bf8', 'c747dd46df454589aafdca5f9588585d', '16a332b5fdea448ba9ff075bbc62d63c', 30, 3, 90, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 11:30:06', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 11:30:06', 0, 0, 0);
INSERT INTO `t_order_detail` VALUES ('3418224012bb4bbc9aa04cd21f0a80e6', 'ba405b312c6346ad95e1b8bd47342d84', 'fcf0b1bc06104aa0b84d6a6c5c088e55', 15, 2, 30, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:17:27', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 09:17:27', 0, 0, 0);
INSERT INTO `t_order_detail` VALUES ('3a548e8144d0447690f3291b82a63910', 'e6e37c31ff31431d84adfb8103ef0568', '618686d79c254bfe99115237bcc5ac6a', 59, 2, 118, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 22:23:30', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 22:23:30', 0, 0, 0);
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INSERT INTO `t_order_detail` VALUES ('7141aa21cda0418b843db440b45a4e69', '440c83721eca49888d4603f79f1bdcdc', '364001cc452d43e39550f4948ba74d78', 96, 4, 384, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 11:31:07', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 11:31:07', 0, 0, 0);
INSERT INTO `t_order_detail` VALUES ('7ea5c70cdae94fe8a1ef3a714a4330f8', '72a0fff6195b403291c7c85b08a1ef84', '364001cc452d43e39550f4948ba74d78', 96, 2, 222, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 10:15:33', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 10:15:33', 0, 0, 0);
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-- ----------------------------
-- Table structure for t_receive
-- ----------------------------
DROP TABLE IF EXISTS `t_receive`;
CREATE TABLE `t_receive` (
`receive_id` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '收货地址id',
`region_province` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '省id',
`region_city` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '市id',
`region_county` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '区id',
`receive_detailed_address` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '详细地址',
`receive_contact` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '联系人',
`receive_tel` varchar(60) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '联系电话',
`receive_is_default` int(11) DEFAULT NULL COMMENT '1是0否',
`created_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '创建人',
`gmt_create` datetime(0) NOT NULL COMMENT '创建时间',
`last_modified_by` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '更新人',
`gmt_modified` datetime(0) NOT NULL COMMENT '更新时间',
`is_deleted` int(11) NOT NULL COMMENT '是否作废1表示作废,0表示未作废',
`sort_no` int(11) NOT NULL COMMENT '序号',
`version` int(11) NOT NULL COMMENT '版本号',
PRIMARY KEY (`receive_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '收货地址表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_receive
-- ----------------------------
INSERT INTO `t_receive` VALUES ('198d1a4151e94d81838ddf2e5c870cd5', '210000', '210200', '210211', '大连东软信息学院', 'lme', '15863252632', 0, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 08:59:56', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 08:59:56', 1, 0, 0);
INSERT INTO `t_receive` VALUES ('29b871993f66406096c204919eff45a7', '320000', '320600', '320623', '安阳小区503号2205室', '赵振华', '18564526235', 1, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 08:57:20', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 08:57:20', 0, 0, 0);
INSERT INTO `t_receive` VALUES ('2a4ec24637da475bac53cff223638642', '130000', '130300', '130303', '1号楼', '程子祥', '13838323232', 0, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 13:48:32', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 13:48:32', 0, 0, 0);
INSERT INTO `t_receive` VALUES ('8915c79b1ccc4790ad9990ae4e79fb87', '510000', '511700', '511724', '新华苑', '刘洋', '13856452326', 0, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 08:57:53', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 08:57:53', 0, 0, 0);
INSERT INTO `t_receive` VALUES ('a0a3f67090234969933aa14bf22183a3', '120000', '120100', '120101', '辽宁省大连市甘井子区区软件园8号路', 'andria Alex', '18311111111', 0, '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 21:47:23', '6564a9c6c1ba4953837764c18fff55c8', '2019-05-07 21:47:23', 0, 0, 0);
-- ----------------------------
-- Table structure for t_region
-- ----------------------------
DROP TABLE IF EXISTS `t_region`;
CREATE TABLE `t_region` (
`region_id` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`region_name` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL,
`parent_region_id` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`region_name_s` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL,
`region_type` decimal(8, 0) NOT NULL,
`version` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`is_deleted` int(5) NOT NULL DEFAULT 0,
PRIMARY KEY (`region_id`) USING BTREE
) ENGINE = MyISAM CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_region
-- ----------------------------
INSERT INTO `t_region` VALUES ('110000', '北京', '0', '北京', 1, '1', 0);
INSERT INTO `t_region` VALUES ('110100', '北京市', '110000', '北京', 2, '1', 0);
INSERT INTO `t_region` VALUES ('110101', '东城区', '110100', '东城', 3, '3', 0);
INSERT INTO `t_region` VALUES ('110102', '西城区', '110100', '西城', 3, '15', 0);
INSERT INTO `t_region` VALUES ('110105', '朝阳区', '110100', '朝阳', 3, '2', 0);
INSERT INTO `t_region` VALUES ('110106', '丰台区', '110100', '丰台', 3, '6', 0);
INSERT INTO `t_region` VALUES ('110107', '石景山区', '110100', '石景山', 3, '12', 0);
INSERT INTO `t_region` VALUES ('110108', '海淀区', '110100', '海淀', 3, '7', 0);
INSERT INTO `t_region` VALUES ('110109', '门头沟区', '110100', '门头沟', 3, '9', 0);
INSERT INTO `t_region` VALUES ('110111', '房山区', '110100', '房山', 3, '5', 0);
INSERT INTO `t_region` VALUES ('110112', '通州区', '110100', '通州', 3, '14', 0);
INSERT INTO `t_region` VALUES ('110113', '顺义区', '110100', '顺义', 3, '13', 0);
INSERT INTO `t_region` VALUES ('110114', '昌平区', '110100', '昌平', 3, '1', 0);
INSERT INTO `t_region` VALUES ('110115', '大兴区', '110100', '大兴', 3, '4', 0);
INSERT INTO `t_region` VALUES ('110116', '怀柔区', '110100', '怀柔', 3, '8', 0);
INSERT INTO `t_region` VALUES ('110117', '平谷区', '110100', '平谷', 3, '11', 0);
INSERT INTO `t_region` VALUES ('110228', '密云县', '110100', '密云', 3, '10', 0);
INSERT INTO `t_region` VALUES ('110229', '延庆县', '110100', '延庆', 3, '16', 0);
INSERT INTO `t_region` VALUES ('120000', '天津', '0', '天津', 1, '2', 0);
INSERT INTO `t_region` VALUES ('120100', '天津市', '120000', '天津', 2, '1', 0);
INSERT INTO `t_region` VALUES ('120101', '和平区', '120100', '和平', 3, '7', 0);
INSERT INTO `t_region` VALUES ('120102', '河东区', '120100', '河东', 3, '6', 0);
INSERT INTO `t_region` VALUES ('120103', '河西区', '120100', '河西', 3, '8', 0);
INSERT INTO `t_region` VALUES ('120104', '南开区', '120100', '南开', 3, '13', 0);
INSERT INTO `t_region` VALUES ('120105', '河北区', '120100', '河北', 3, '5', 0);
INSERT INTO `t_region` VALUES ('120106', '红桥区', '120100', '红桥', 3, '9', 0);
INSERT INTO `t_region` VALUES ('120110', '东丽区', '120100', '东丽', 3, '4', 0);
INSERT INTO `t_region` VALUES ('120111', '西青区', '120100', '西青', 3, '16', 0);
INSERT INTO `t_region` VALUES ('120112', '津南区', '120100', '津南', 3, '11', 0);
INSERT INTO `t_region` VALUES ('120113', '北辰区', '120100', '北辰', 3, '2', 0);
INSERT INTO `t_region` VALUES ('120114', '武清区', '120100', '武清', 3, '15', 0);
INSERT INTO `t_region` VALUES ('120115', '宝坻区', '120100', '宝坻', 3, '1', 0);
INSERT INTO `t_region` VALUES ('120116', '滨海新区', '120100', '滨海', 3, '3', 0);
INSERT INTO `t_region` VALUES ('120221', '宁河县', '120100', '宁河', 3, '14', 0);
INSERT INTO `t_region` VALUES ('120223', '静海县', '120100', '静海', 3, '10', 0);
INSERT INTO `t_region` VALUES ('120225', '蓟县', '120100', '蓟县', 3, '12', 0);
INSERT INTO `t_region` VALUES ('130000', '河北省', '0', '河北', 1, '3', 0);
INSERT INTO `t_region` VALUES ('130100', '石家庄市', '130000', '石家庄', 2, '8', 0);
INSERT INTO `t_region` VALUES ('130102', '长安区', '130100', '长安', 3, '1', 0);
INSERT INTO `t_region` VALUES ('130103', '桥东区', '130100', '桥东', 3, '11', 0);
INSERT INTO `t_region` VALUES ('130104', '桥西区', '130100', '桥西', 3, '12', 0);
INSERT INTO `t_region` VALUES ('130105', '新华区', '130100', '新华', 3, '16', 0);
INSERT INTO `t_region` VALUES ('130107', '井陉矿区', '130100', '井陉矿', 3, '4', 0);
INSERT INTO `t_region` VALUES ('130108', '裕华区', '130100', '裕华', 3, '20', 0);
INSERT INTO `t_region` VALUES ('130121', '井陉县', '130100', '井陉', 3, '5', 0);
INSERT INTO `t_region` VALUES ('130123', '正定县', '130100', '正定', 3, '23', 0);
INSERT INTO `t_region` VALUES ('130124', '栾城县', '130100', '栾城', 3, '8', 0);
INSERT INTO `t_region` VALUES ('130125', '行唐县', '130100', '行唐', 3, '15', 0);
INSERT INTO `t_region` VALUES ('130126', '灵寿县', '130100', '灵寿', 3, '7', 0);
INSERT INTO `t_region` VALUES ('130127', '高邑县', '130100', '高邑', 3, '3', 0);
INSERT INTO `t_region` VALUES ('130128', '深泽县', '130100', '深泽', 3, '13', 0);
INSERT INTO `t_region` VALUES ('130129', '赞皇县', '130100', '赞皇', 3, '21', 0);
INSERT INTO `t_region` VALUES ('130130', '无极县', '130100', '无极', 3, '14', 0);
INSERT INTO `t_region` VALUES ('130131', '平山县', '130100', '平山', 3, '10', 0);
INSERT INTO `t_region` VALUES ('130132', '元氏县', '130100', '元氏', 3, '19', 0);
INSERT INTO `t_region` VALUES ('130133', '赵县', '130100', '赵县', 3, '22', 0);
INSERT INTO `t_region` VALUES ('130181', '辛集市', '130100', '辛集', 3, '17', 0);
INSERT INTO `t_region` VALUES ('130182', '藁城市', '130100', '藁城', 3, '2', 0);
INSERT INTO `t_region` VALUES ('130183', '晋州市', '130100', '晋州', 3, '6', 0);
INSERT INTO `t_region` VALUES ('130184', '新乐市', '130100', '新乐', 3, '18', 0);
INSERT INTO `t_region` VALUES ('130185', '鹿泉市', '130100', '鹿泉', 3, '9', 0);
INSERT INTO `t_region` VALUES ('130200', '唐山市', '130000', '唐山', 2, '9', 0);
INSERT INTO `t_region` VALUES ('130202', '路南区', '130200', '路南', 3, '10', 0);
INSERT INTO `t_region` VALUES ('130203', '路北区', '130200', '路北', 3, '9', 0);
INSERT INTO `t_region` VALUES ('130204', '古冶区', '130200', '古冶', 3, '4', 0);
INSERT INTO `t_region` VALUES ('130205', '开平区', '130200', '开平', 3, '5', 0);
INSERT INTO `t_region` VALUES ('130207', '丰南区', '130200', '丰南', 3, '2', 0);
INSERT INTO `t_region` VALUES ('130208', '丰润区', '130200', '丰润', 3, '3', 0);
INSERT INTO `t_region` VALUES ('130223', '滦县', '130200', '滦县', 3, '8', 0);
INSERT INTO `t_region` VALUES ('130224', '滦南县', '130200', '滦南', 3, '7', 0);
INSERT INTO `t_region` VALUES ('130225', '乐亭县', '130200', '乐亭', 3, '6', 0);
INSERT INTO `t_region` VALUES ('130227', '迁西县', '130200', '迁西', 3, '12', 0);
INSERT INTO `t_region` VALUES ('130229', '玉田县', '130200', '玉田', 3, '13', 0);
INSERT INTO `t_region` VALUES ('130230', '曹妃甸区', '130200', '曹妃甸', 3, '1', 0);
INSERT INTO `t_region` VALUES ('130281', '遵化市', '130200', '遵化', 3, '14', 0);
INSERT INTO `t_region` VALUES ('130283', '迁安市', '130200', '迁安', 3, '11', 0);
INSERT INTO `t_region` VALUES ('130300', '秦皇岛市', '130000', '秦皇岛', 2, '7', 0);
INSERT INTO `t_region` VALUES ('130302', '海港区', '130300', '海港', 3, '4', 0);
INSERT INTO `t_region` VALUES ('130303', '山海关区', '130300', '山海关', 3, '7', 0);
INSERT INTO `t_region` VALUES ('130304', '北戴河区', '130300', '北戴河', 3, '1', 0);
INSERT INTO `t_region` VALUES ('130321', '青龙满族自治县', '130300', '青龙', 3, '6', 0);
INSERT INTO `t_region` VALUES ('130322', '昌黎县', '130300', '昌黎', 3, '2', 0);
INSERT INTO `t_region` VALUES ('130323', '抚宁县', '130300', '抚宁', 3, '3', 0);
INSERT INTO `t_region` VALUES ('130324', '卢龙县', '130300', '卢龙', 3, '5', 0);
INSERT INTO `t_region` VALUES ('130400', '邯郸市', '130000', '邯郸', 2, '4', 0);
INSERT INTO `t_region` VALUES ('130402', '邯山区', '130400', '邯山', 3, '11', 0);
INSERT INTO `t_region` VALUES ('130403', '丛台区', '130400', '丛台', 3, '3', 0);
INSERT INTO `t_region` VALUES ('130404', '复兴区', '130400', '复兴', 3, '7', 0);
INSERT INTO `t_region` VALUES ('130406', '峰峰矿区', '130400', '峰峰矿', 3, '6', 0);
INSERT INTO `t_region` VALUES ('130421', '邯郸县', '130400', '邯郸', 3, '10', 0);
INSERT INTO `t_region` VALUES ('130423', '临漳县', '130400', '临漳', 3, '13', 0);
INSERT INTO `t_region` VALUES ('130424', '成安县', '130400', '成安', 3, '1', 0);
INSERT INTO `t_region` VALUES ('130425', '大名县', '130400', '大名', 3, '4', 0);
INSERT INTO `t_region` VALUES ('130426', '涉县', '130400', '涉县', 3, '16', 0);
INSERT INTO `t_region` VALUES ('130427', '磁县', '130400', '磁县', 3, '2', 0);
INSERT INTO `t_region` VALUES ('130428', '肥乡县', '130400', '肥乡', 3, '5', 0);
INSERT INTO `t_region` VALUES ('130429', '永年县', '130400', '永年', 3, '19', 0);
INSERT INTO `t_region` VALUES ('130430', '邱县', '130400', '邱县', 3, '14', 0);
INSERT INTO `t_region` VALUES ('130431', '鸡泽县', '130400', '鸡泽', 3, '12', 0);
INSERT INTO `t_region` VALUES ('130432', '广平县', '130400', '广平', 3, '8', 0);
INSERT INTO `t_region` VALUES ('130433', '馆陶县', '130400', '馆陶', 3, '9', 0);
INSERT INTO `t_region` VALUES ('130434', '魏县', '130400', '魏县', 3, '17', 0);
INSERT INTO `t_region` VALUES ('130435', '曲周县', '130400', '曲周', 3, '15', 0);
INSERT INTO `t_region` VALUES ('130481', '武安市', '130400', '武安', 3, '18', 0);
INSERT INTO `t_region` VALUES ('130500', '邢台市', '130000', '邢台', 2, '10', 0);
INSERT INTO `t_region` VALUES ('130502', '桥东区', '130500', '桥东', 3, '12', 0);
INSERT INTO `t_region` VALUES ('130503', '桥西区', '130500', '桥西', 3, '13', 0);
INSERT INTO `t_region` VALUES ('130521', '邢台县', '130500', '邢台', 3, '18', 0);
INSERT INTO `t_region` VALUES ('130522', '临城县', '130500', '临城', 3, '4', 0);
INSERT INTO `t_region` VALUES ('130523', '内丘县', '130500', '内丘', 3, '9', 0);
INSERT INTO `t_region` VALUES ('130524', '柏乡县', '130500', '柏乡', 3, '1', 0);
INSERT INTO `t_region` VALUES ('130525', '隆尧县', '130500', '隆尧', 3, '6', 0);
INSERT INTO `t_region` VALUES ('130526', '任县', '130500', '任县', 3, '15', 0);
INSERT INTO `t_region` VALUES ('130527', '南和县', '130500', '南和', 3, '8', 0);
INSERT INTO `t_region` VALUES ('130528', '宁晋县', '130500', '宁晋', 3, '10', 0);
INSERT INTO `t_region` VALUES ('130529', '巨鹿县', '130500', '巨鹿', 3, '3', 0);
INSERT INTO `t_region` VALUES ('130530', '新河县', '130500', '新河', 3, '19', 0);
INSERT INTO `t_region` VALUES ('130531', '广宗县', '130500', '广宗', 3, '2', 0);
INSERT INTO `t_region` VALUES ('130532', '平乡县', '130500', '平乡', 3, '11', 0);
INSERT INTO `t_region` VALUES ('130533', '威县', '130500', '威县', 3, '17', 0);
INSERT INTO `t_region` VALUES ('130534', '清河县', '130500', '清河', 3, '14', 0);
INSERT INTO `t_region` VALUES ('130535', '临西县', '130500', '临西', 3, '5', 0);
INSERT INTO `t_region` VALUES ('130581', '南宫市', '130500', '南宫', 3, '7', 0);
INSERT INTO `t_region` VALUES ('130582', '沙河市', '130500', '沙河', 3, '16', 0);
INSERT INTO `t_region` VALUES ('130600', '保定市', '130000', '保定', 2, '1', 0);
INSERT INTO `t_region` VALUES ('130602', '新市区', '130600', '新市', 3, '21', 0);
INSERT INTO `t_region` VALUES ('130603', '北市区', '130600', '北市', 3, '3', 0);
INSERT INTO `t_region` VALUES ('130604', '南市区', '130600', '南市', 3, '14', 0);
INSERT INTO `t_region` VALUES ('130621', '满城县', '130600', '满城', 3, '13', 0);
INSERT INTO `t_region` VALUES ('130622', '清苑县', '130600', '清苑', 3, '15', 0);
INSERT INTO `t_region` VALUES ('130623', '涞水县', '130600', '涞水', 3, '10', 0);
INSERT INTO `t_region` VALUES ('130624', '阜平县', '130600', '阜平', 3, '7', 0);
INSERT INTO `t_region` VALUES ('130625', '徐水县', '130600', '徐水', 3, '23', 0);
INSERT INTO `t_region` VALUES ('130626', '定兴县', '130600', '定兴', 3, '5', 0);
INSERT INTO `t_region` VALUES ('130627', '唐县', '130600', '唐县', 3, '19', 0);
INSERT INTO `t_region` VALUES ('130628', '高阳县', '130600', '高阳', 3, '9', 0);
INSERT INTO `t_region` VALUES ('130629', '容城县', '130600', '容城', 3, '17', 0);
INSERT INTO `t_region` VALUES ('130630', '涞源县', '130600', '涞源', 3, '11', 0);
INSERT INTO `t_region` VALUES ('130631', '望都县', '130600', '望都', 3, '20', 0);
INSERT INTO `t_region` VALUES ('130632', '安新县', '130600', '安新', 3, '2', 0);
INSERT INTO `t_region` VALUES ('130633', '易县', '130600', '易县', 3, '24', 0);
INSERT INTO `t_region` VALUES ('130634', '曲阳县', '130600', '曲阳', 3, '16', 0);
INSERT INTO `t_region` VALUES ('130635', '蠡县', '130600', '蠡县', 3, '12', 0);
INSERT INTO `t_region` VALUES ('130636', '顺平县', '130600', '顺平', 3, '18', 0);
INSERT INTO `t_region` VALUES ('130637', '博野县', '130600', '博野', 3, '4', 0);
INSERT INTO `t_region` VALUES ('130638', '雄县', '130600', '雄县', 3, '22', 0);
INSERT INTO `t_region` VALUES ('130681', '涿州市', '130600', '涿州', 3, '25', 0);
INSERT INTO `t_region` VALUES ('130682', '定州市', '130600', '定州', 3, '6', 0);
INSERT INTO `t_region` VALUES ('130683', '安国市', '130600', '安国', 3, '1', 0);
INSERT INTO `t_region` VALUES ('130684', '高碑店市', '130600', '高碑店', 3, '8', 0);
INSERT INTO `t_region` VALUES ('130700', '张家口市', '130000', '张家口', 2, '11', 0);
INSERT INTO `t_region` VALUES ('130702', '桥东区', '130700', '桥东', 3, '7', 0);
INSERT INTO `t_region` VALUES ('130703', '桥西区', '130700', '桥西', 3, '8', 0);
INSERT INTO `t_region` VALUES ('130705', '宣化区', '130700', '宣化区', 3, '12', 0);
INSERT INTO `t_region` VALUES ('130706', '下花园区', '130700', '下花园', 3, '11', 0);
INSERT INTO `t_region` VALUES ('130721', '宣化县', '130700', '宣化县', 3, '13', 0);
INSERT INTO `t_region` VALUES ('130722', '张北县', '130700', '张北', 3, '16', 0);
INSERT INTO `t_region` VALUES ('130723', '康保县', '130700', '康保', 3, '6', 0);
INSERT INTO `t_region` VALUES ('130724', '沽源县', '130700', '沽源', 3, '3', 0);
INSERT INTO `t_region` VALUES ('130725', '尚义县', '130700', '尚义', 3, '9', 0);
INSERT INTO `t_region` VALUES ('130726', '蔚县', '130700', '蔚县', 3, '15', 0);
INSERT INTO `t_region` VALUES ('130727', '阳原县', '130700', '阳原', 3, '14', 0);
INSERT INTO `t_region` VALUES ('130728', '怀安县', '130700', '怀安', 3, '4', 0);
INSERT INTO `t_region` VALUES ('130729', '万全县', '130700', '万全', 3, '10', 0);
INSERT INTO `t_region` VALUES ('130730', '怀来县', '130700', '怀来', 3, '5', 0);
INSERT INTO `t_region` VALUES ('130731', '涿鹿县', '130700', '涿鹿', 3, '17', 0);
INSERT INTO `t_region` VALUES ('130732', '赤城县', '130700', '赤城', 3, '1', 0);
INSERT INTO `t_region` VALUES ('130733', '崇礼县', '130700', '崇礼', 3, '2', 0);
INSERT INTO `t_region` VALUES ('130800', '承德市', '130000', '承德', 2, '3', 0);
INSERT INTO `t_region` VALUES ('130802', '双桥区', '130800', '双桥', 3, '8', 0);
INSERT INTO `t_region` VALUES ('130803', '双滦区', '130800', '双滦', 3, '7', 0);
INSERT INTO `t_region` VALUES ('130804', '鹰手营子矿区', '130800', '鹰手营子矿', 3, '11', 0);
INSERT INTO `t_region` VALUES ('130821', '承德县', '130800', '承德', 3, '1', 0);
INSERT INTO `t_region` VALUES ('130822', '兴隆县', '130800', '兴隆', 3, '10', 0);
INSERT INTO `t_region` VALUES ('130823', '平泉县', '130800', '平泉', 3, '6', 0);
INSERT INTO `t_region` VALUES ('130824', '滦平县', '130800', '滦平', 3, '5', 0);
INSERT INTO `t_region` VALUES ('130825', '隆化县', '130800', '隆化', 3, '4', 0);
INSERT INTO `t_region` VALUES ('130826', '丰宁满族自治县', '130800', '丰宁', 3, '2', 0);
INSERT INTO `t_region` VALUES ('130827', '宽城满族自治县', '130800', '宽城', 3, '3', 0);
INSERT INTO `t_region` VALUES ('130828', '围场满族蒙古族自治县', '130800', '围场', 3, '9', 0);
INSERT INTO `t_region` VALUES ('130900', '沧州市', '130000', '沧州', 2, '2', 0);
INSERT INTO `t_region` VALUES ('130902', '新华区', '130900', '新华', 3, '14', 0);
INSERT INTO `t_region` VALUES ('130903', '运河区', '130900', '运河', 3, '16', 0);
INSERT INTO `t_region` VALUES ('130921', '沧县', '130900', '沧县', 3, '2', 0);
INSERT INTO `t_region` VALUES ('130922', '青县', '130900', '青县', 3, '9', 0);
INSERT INTO `t_region` VALUES ('130923', '东光县', '130900', '东光', 3, '3', 0);
INSERT INTO `t_region` VALUES ('130924', '海兴县', '130900', '海兴', 3, '4', 0);
INSERT INTO `t_region` VALUES ('130925', '盐山县', '130900', '盐山', 3, '15', 0);
INSERT INTO `t_region` VALUES ('130926', '肃宁县', '130900', '肃宁', 3, '11', 0);
INSERT INTO `t_region` VALUES ('130927', '南皮县', '130900', '南皮', 3, '8', 0);
INSERT INTO `t_region` VALUES ('130928', '吴桥县', '130900', '吴桥', 3, '12', 0);
INSERT INTO `t_region` VALUES ('130929', '献县', '130900', '献县', 3, '13', 0);
INSERT INTO `t_region` VALUES ('130930', '孟村回族自治县', '130900', '孟村', 3, '7', 0);
INSERT INTO `t_region` VALUES ('130981', '泊头市', '130900', '泊头', 3, '1', 0);
INSERT INTO `t_region` VALUES ('130982', '任丘市', '130900', '任丘', 3, '10', 0);
INSERT INTO `t_region` VALUES ('130983', '黄骅市', '130900', '黄骅', 3, '6', 0);
INSERT INTO `t_region` VALUES ('130984', '河间市', '130900', '河间', 3, '5', 0);
INSERT INTO `t_region` VALUES ('131000', '廊坊市', '130000', '廊坊', 2, '6', 0);
INSERT INTO `t_region` VALUES ('131002', '安次区', '131000', '安次', 3, '1', 0);
INSERT INTO `t_region` VALUES ('131003', '广阳区', '131000', '广阳', 3, '5', 0);
INSERT INTO `t_region` VALUES ('131022', '固安县', '131000', '固安', 3, '6', 0);
INSERT INTO `t_region` VALUES ('131023', '永清县', '131000', '永清', 3, '10', 0);
INSERT INTO `t_region` VALUES ('131024', '香河县', '131000', '香河', 3, '9', 0);
INSERT INTO `t_region` VALUES ('131025', '大城县', '131000', '大城', 3, '4', 0);
INSERT INTO `t_region` VALUES ('131026', '文安县', '131000', '文安', 3, '8', 0);
INSERT INTO `t_region` VALUES ('131028', '大厂回族自治县', '131000', '大厂', 3, '3', 0);
INSERT INTO `t_region` VALUES ('131081', '霸州市', '131000', '霸州', 3, '2', 0);
INSERT INTO `t_region` VALUES ('131082', '三河市', '131000', '三河', 3, '7', 0);
INSERT INTO `t_region` VALUES ('131100', '衡水市', '130000', '衡水', 2, '5', 0);
INSERT INTO `t_region` VALUES ('131102', '桃城区', '131100', '桃城', 3, '8', 0);
INSERT INTO `t_region` VALUES ('131121', '枣强县', '131100', '枣强', 3, '11', 0);
INSERT INTO `t_region` VALUES ('131122', '武邑县', '131100', '武邑', 3, '10', 0);
INSERT INTO `t_region` VALUES ('131123', '武强县', '131100', '武强', 3, '9', 0);
INSERT INTO `t_region` VALUES ('131124', '饶阳县', '131100', '饶阳', 3, '6', 0);
INSERT INTO `t_region` VALUES ('131125', '安平县', '131100', '安平', 3, '1', 0);
INSERT INTO `t_region` VALUES ('131126', '故城县', '131100', '故城', 3, '3', 0);
INSERT INTO `t_region` VALUES ('131127', '景县', '131100', '景县', 3, '4', 0);
INSERT INTO `t_region` VALUES ('131128', '阜城县', '131100', '阜城', 3, '2', 0);
INSERT INTO `t_region` VALUES ('131181', '冀州市', '131100', '冀州', 3, '5', 0);
INSERT INTO `t_region` VALUES ('131182', '深州市', '131100', '深州', 3, '7', 0);
INSERT INTO `t_region` VALUES ('140000', '山西省', '0', '山西', 1, '4', 0);
INSERT INTO `t_region` VALUES ('140100', '太原市', '140000', '太原', 2, '8', 0);
INSERT INTO `t_region` VALUES ('140105', '小店区', '140100', '小店', 3, '7', 0);
INSERT INTO `t_region` VALUES ('140106', '迎泽区', '140100', '迎泽', 3, '10', 0);
INSERT INTO `t_region` VALUES ('140107', '杏花岭区', '140100', '杏花岭', 3, '8', 0);
INSERT INTO `t_region` VALUES ('140108', '尖草坪区', '140100', '尖草坪', 3, '2', 0);
INSERT INTO `t_region` VALUES ('140109', '万柏林区', '140100', '万柏林', 3, '6', 0);
INSERT INTO `t_region` VALUES ('140110', '晋源区', '140100', '晋源', 3, '3', 0);
INSERT INTO `t_region` VALUES ('140121', '清徐县', '140100', '清徐', 3, '5', 0);
INSERT INTO `t_region` VALUES ('140122', '阳曲县', '140100', '阳曲', 3, '9', 0);
INSERT INTO `t_region` VALUES ('140123', '娄烦县', '140100', '娄烦', 3, '4', 0);
INSERT INTO `t_region` VALUES ('140181', '古交市', '140100', '古交', 3, '1', 0);
INSERT INTO `t_region` VALUES ('140200', '大同市', '140000', '大同', 2, '2', 0);
INSERT INTO `t_region` VALUES ('140202', '城区', '140200', '城区', 3, '1', 0);
INSERT INTO `t_region` VALUES ('140203', '矿区', '140200', '矿区', 3, '5', 0);
INSERT INTO `t_region` VALUES ('140211', '南郊区', '140200', '南郊', 3, '7', 0);
INSERT INTO `t_region` VALUES ('140212', '新荣区', '140200', '新荣', 3, '9', 0);
INSERT INTO `t_region` VALUES ('140221', '阳高县', '140200', '阳高', 3, '10', 0);
INSERT INTO `t_region` VALUES ('140222', '天镇县', '140200', '天镇', 3, '8', 0);
INSERT INTO `t_region` VALUES ('140223', '广灵县', '140200', '广灵', 3, '3', 0);
INSERT INTO `t_region` VALUES ('140224', '灵丘县', '140200', '灵丘', 3, '6', 0);
INSERT INTO `t_region` VALUES ('140225', '浑源县', '140200', '浑源', 3, '4', 0);
INSERT INTO `t_region` VALUES ('140226', '左云县', '140200', '左云', 3, '11', 0);
INSERT INTO `t_region` VALUES ('140227', '大同县', '140200', '大同', 3, '2', 0);
INSERT INTO `t_region` VALUES ('140300', '阳泉市', '140000', '阳泉', 2, '10', 0);
INSERT INTO `t_region` VALUES ('140302', '城区', '140300', '城区', 3, '1', 0);
INSERT INTO `t_region` VALUES ('140303', '矿区', '140300', '矿区', 3, '3', 0);
INSERT INTO `t_region` VALUES ('140311', '郊区', '140300', '郊区', 3, '2', 0);
INSERT INTO `t_region` VALUES ('140321', '平定县', '140300', '平定', 3, '4', 0);
INSERT INTO `t_region` VALUES ('140322', '盂县', '140300', '盂县', 3, '5', 0);
INSERT INTO `t_region` VALUES ('140400', '长治市', '140000', '长治', 2, '1', 0);
INSERT INTO `t_region` VALUES ('140421', '长治县', '140400', '长治', 3, '1', 0);
INSERT INTO `t_region` VALUES ('140423', '襄垣县', '140400', '襄垣', 3, '12', 0);
INSERT INTO `t_region` VALUES ('140424', '屯留县', '140400', '屯留', 3, '10', 0);
INSERT INTO `t_region` VALUES ('140425', '平顺县', '140400', '平顺', 3, '7', 0);
INSERT INTO `t_region` VALUES ('140426', '黎城县', '140400', '黎城', 3, '5', 0);
INSERT INTO `t_region` VALUES ('140427', '壶关县', '140400', '壶关', 3, '3', 0);
INSERT INTO `t_region` VALUES ('140428', '长子县', '140400', '长子', 3, '13', 0);
INSERT INTO `t_region` VALUES ('140429', '武乡县', '140400', '武乡', 3, '11', 0);
INSERT INTO `t_region` VALUES ('140430', '沁县', '140400', '沁县', 3, '8', 0);
INSERT INTO `t_region` VALUES ('140431', '沁源县', '140400', '沁源', 3, '9', 0);
INSERT INTO `t_region` VALUES ('140481', '潞城市', '140400', '潞城', 3, '6', 0);
INSERT INTO `t_region` VALUES ('140482', '城区', '140400', '城区', 3, '2', 0);
INSERT INTO `t_region` VALUES ('140483', '郊区', '140400', '郊区', 3, '4', 0);
INSERT INTO `t_region` VALUES ('140500', '晋城市', '140000', '晋城', 2, '3', 0);
INSERT INTO `t_region` VALUES ('140502', '城区', '140500', '城区', 3, '1', 0);
INSERT INTO `t_region` VALUES ('140521', '沁水县', '140500', '沁水', 3, '4', 0);
INSERT INTO `t_region` VALUES ('140522', '阳城县', '140500', '阳城', 3, '5', 0);
INSERT INTO `t_region` VALUES ('140524', '陵川县', '140500', '陵川', 3, '3', 0);
INSERT INTO `t_region` VALUES ('140525', '泽州县', '140500', '泽州', 3, '6', 0);
INSERT INTO `t_region` VALUES ('140581', '高平市', '140500', '高平', 3, '2', 0);
INSERT INTO `t_region` VALUES ('140600', '朔州市', '140000', '朔州', 2, '7', 0);
INSERT INTO `t_region` VALUES ('140602', '朔城区', '140600', '朔城', 3, '4', 0);
INSERT INTO `t_region` VALUES ('140603', '平鲁区', '140600', '平鲁', 3, '2', 0);
INSERT INTO `t_region` VALUES ('140621', '山阴县', '140600', '山阴', 3, '3', 0);
INSERT INTO `t_region` VALUES ('140622', '应县', '140600', '应县', 3, '5', 0);
INSERT INTO `t_region` VALUES ('140623', '右玉县', '140600', '右玉', 3, '6', 0);
INSERT INTO `t_region` VALUES ('140624', '怀仁县', '140600', '怀仁', 3, '1', 0);
INSERT INTO `t_region` VALUES ('140700', '晋中市', '140000', '晋中', 2, '4', 0);
INSERT INTO `t_region` VALUES ('140702', '榆次区', '140700', '榆次', 3, '9', 0);
INSERT INTO `t_region` VALUES ('140721', '榆社县', '140700', '榆社', 3, '10', 0);
INSERT INTO `t_region` VALUES ('140722', '左权县', '140700', '左权', 3, '11', 0);
INSERT INTO `t_region` VALUES ('140723', '和顺县', '140700', '和顺', 3, '1', 0);
INSERT INTO `t_region` VALUES ('140724', '昔阳县', '140700', '昔阳', 3, '8', 0);
INSERT INTO `t_region` VALUES ('140725', '寿阳县', '140700', '寿阳', 3, '6', 0);
INSERT INTO `t_region` VALUES ('140726', '太谷县', '140700', '太谷', 3, '7', 0);
INSERT INTO `t_region` VALUES ('140727', '祁县', '140700', '祁县', 3, '5', 0);
INSERT INTO `t_region` VALUES ('140728', '平遥县', '140700', '平遥', 3, '4', 0);
INSERT INTO `t_region` VALUES ('140729', '灵石县', '140700', '灵石', 3, '3', 0);
INSERT INTO `t_region` VALUES ('140781', '介休市', '140700', '介休', 3, '2', 0);
INSERT INTO `t_region` VALUES ('140800', '运城市', '140000', '运城', 2, '11', 0);
INSERT INTO `t_region` VALUES ('140802', '盐湖区', '140800', '盐湖', 3, '11', 0);
INSERT INTO `t_region` VALUES ('140821', '临猗县', '140800', '临猗', 3, '4', 0);
INSERT INTO `t_region` VALUES ('140822', '万荣县', '140800', '万荣', 3, '7', 0);
INSERT INTO `t_region` VALUES ('140823', '闻喜县', '140800', '闻喜', 3, '8', 0);
INSERT INTO `t_region` VALUES ('140824', '稷山县', '140800', '稷山', 3, '3', 0);
INSERT INTO `t_region` VALUES ('140825', '新绛县', '140800', '新绛', 3, '10', 0);
INSERT INTO `t_region` VALUES ('140826', '绛县', '140800', '绛县', 3, '2', 0);
INSERT INTO `t_region` VALUES ('140827', '垣曲县', '140800', '垣曲', 3, '13', 0);
INSERT INTO `t_region` VALUES ('140828', '夏县', '140800', '夏县', 3, '9', 0);
INSERT INTO `t_region` VALUES ('140829', '平陆县', '140800', '平陆', 3, '5', 0);
INSERT INTO `t_region` VALUES ('140830', '芮城县', '140800', '芮城', 3, '6', 0);
INSERT INTO `t_region` VALUES ('140881', '永济市', '140800', '永济', 3, '12', 0);
INSERT INTO `t_region` VALUES ('140882', '河津市', '140800', '河津', 3, '1', 0);
INSERT INTO `t_region` VALUES ('140900', '忻州市', '140000', '忻州', 2, '9', 0);
INSERT INTO `t_region` VALUES ('140902', '忻府区', '140900', '忻府', 3, '13', 0);
INSERT INTO `t_region` VALUES ('140921', '定襄县', '140900', '定襄', 3, '3', 0);
INSERT INTO `t_region` VALUES ('140922', '五台县', '140900', '五台', 3, '11', 0);
INSERT INTO `t_region` VALUES ('140923', '代县', '140900', '代县', 3, '2', 0);
INSERT INTO `t_region` VALUES ('140924', '繁峙县', '140900', '繁峙', 3, '4', 0);
INSERT INTO `t_region` VALUES ('140925', '宁武县', '140900', '宁武', 3, '8', 0);
INSERT INTO `t_region` VALUES ('140926', '静乐县', '140900', '静乐', 3, '6', 0);
INSERT INTO `t_region` VALUES ('140927', '神池县', '140900', '神池', 3, '10', 0);
INSERT INTO `t_region` VALUES ('140928', '五寨县', '140900', '五寨', 3, '12', 0);
INSERT INTO `t_region` VALUES ('140929', '岢岚县', '140900', '岢岚', 3, '7', 0);
INSERT INTO `t_region` VALUES ('140930', '河曲县', '140900', '河曲', 3, '5', 0);
INSERT INTO `t_region` VALUES ('140931', '保德县', '140900', '保德', 3, '1', 0);
INSERT INTO `t_region` VALUES ('140932', '偏关县', '140900', '偏关', 3, '9', 0);
INSERT INTO `t_region` VALUES ('140981', '原平市', '140900', '原平', 3, '14', 0);
INSERT INTO `t_region` VALUES ('141000', '临汾市', '140000', '临汾', 2, '5', 0);
INSERT INTO `t_region` VALUES ('141002', '尧都区', '141000', '尧都', 3, '15', 0);
INSERT INTO `t_region` VALUES ('141021', '曲沃县', '141000', '曲沃', 3, '11', 0);
INSERT INTO `t_region` VALUES ('141022', '翼城县', '141000', '翼城', 3, '16', 0);
INSERT INTO `t_region` VALUES ('141023', '襄汾县', '141000', '襄汾', 3, '12', 0);
INSERT INTO `t_region` VALUES ('141024', '洪洞县', '141000', '洪洞', 3, '6', 0);
INSERT INTO `t_region` VALUES ('141025', '古县', '141000', '古县', 3, '5', 0);
INSERT INTO `t_region` VALUES ('141026', '安泽县', '141000', '安泽', 3, '1', 0);
INSERT INTO `t_region` VALUES ('141027', '浮山县', '141000', '浮山', 3, '4', 0);
INSERT INTO `t_region` VALUES ('141028', '吉县', '141000', '吉县', 3, '9', 0);
INSERT INTO `t_region` VALUES ('141029', '乡宁县', '141000', '乡宁', 3, '13', 0);
INSERT INTO `t_region` VALUES ('141030', '大宁县', '141000', '大宁', 3, '2', 0);
INSERT INTO `t_region` VALUES ('141031', '隰县', '141000', '隰县', 3, '14', 0);
INSERT INTO `t_region` VALUES ('141032', '永和县', '141000', '永和', 3, '17', 0);
INSERT INTO `t_region` VALUES ('141033', '蒲县', '141000', '蒲县', 3, '10', 0);
INSERT INTO `t_region` VALUES ('141034', '汾西县', '141000', '汾西', 3, '3', 0);
INSERT INTO `t_region` VALUES ('141081', '侯马市', '141000', '侯马', 3, '7', 0);
INSERT INTO `t_region` VALUES ('141082', '霍州市', '141000', '霍州', 3, '8', 0);
INSERT INTO `t_region` VALUES ('141100', '吕梁市', '140000', '吕梁', 2, '6', 0);
INSERT INTO `t_region` VALUES ('141102', '离石区', '141100', '离石', 3, '7', 0);
INSERT INTO `t_region` VALUES ('141121', '文水县', '141100', '文水', 3, '10', 0);
INSERT INTO `t_region` VALUES ('141122', '交城县', '141100', '交城', 3, '3', 0);
INSERT INTO `t_region` VALUES ('141123', '兴县', '141100', '兴县', 3, '12', 0);
INSERT INTO `t_region` VALUES ('141124', '临县', '141100', '临县', 3, '6', 0);
INSERT INTO `t_region` VALUES ('141125', '柳林县', '141100', '柳林', 3, '8', 0);
INSERT INTO `t_region` VALUES ('141126', '石楼县', '141100', '石楼', 3, '9', 0);
INSERT INTO `t_region` VALUES ('141127', '岚县', '141100', '岚县', 3, '5', 0);
INSERT INTO `t_region` VALUES ('141128', '方山县', '141100', '方山', 3, '1', 0);
INSERT INTO `t_region` VALUES ('141129', '中阳县', '141100', '中阳', 3, '13', 0);
INSERT INTO `t_region` VALUES ('141130', '交口县', '141100', '交口', 3, '4', 0);
INSERT INTO `t_region` VALUES ('141181', '孝义市', '141100', '孝义', 3, '11', 0);
INSERT INTO `t_region` VALUES ('141182', '汾阳市', '141100', '汾阳', 3, '2', 0);
INSERT INTO `t_region` VALUES ('150000', '内蒙古自治区', '0', '内蒙古', 1, '5', 0);
INSERT INTO `t_region` VALUES ('150100', '呼和浩特市', '150000', '呼和浩特', 2, '6', 0);
INSERT INTO `t_region` VALUES ('150102', '新城区', '150100', '新城', 3, '8', 0);
INSERT INTO `t_region` VALUES ('150103', '回民区', '150100', '回民', 3, '2', 0);
INSERT INTO `t_region` VALUES ('150104', '玉泉区', '150100', '玉泉', 3, '9', 0);
INSERT INTO `t_region` VALUES ('150105', '赛罕区', '150100', '赛罕', 3, '4', 0);
INSERT INTO `t_region` VALUES ('150121', '土默特左旗', '150100', '土默特左', 3, '5', 0);
INSERT INTO `t_region` VALUES ('150122', '托克托县', '150100', '托克托', 3, '6', 0);
INSERT INTO `t_region` VALUES ('150123', '和林格尔县', '150100', '和林格尔', 3, '1', 0);
INSERT INTO `t_region` VALUES ('150124', '清水河县', '150100', '清水河', 3, '3', 0);
INSERT INTO `t_region` VALUES ('150125', '武川县', '150100', '武川', 3, '7', 0);
INSERT INTO `t_region` VALUES ('150200', '包头市', '150000', '包头', 2, '2', 0);
INSERT INTO `t_region` VALUES ('150202', '东河区', '150200', '东河', 3, '3', 0);
INSERT INTO `t_region` VALUES ('150203', '昆都仑区', '150200', '昆都仑', 3, '6', 0);
INSERT INTO `t_region` VALUES ('150204', '青山区', '150200', '青山', 3, '7', 0);
INSERT INTO `t_region` VALUES ('150205', '石拐区', '150200', '石拐', 3, '8', 0);
INSERT INTO `t_region` VALUES ('150206', '白云鄂博矿区', '150200', '白云矿区', 3, '1', 0);
INSERT INTO `t_region` VALUES ('150207', '九原区', '150200', '九原', 3, '5', 0);
INSERT INTO `t_region` VALUES ('150221', '土默特右旗', '150200', '土默特右', 3, '9', 0);
INSERT INTO `t_region` VALUES ('150222', '固阳县', '150200', '固阳', 3, '4', 0);
INSERT INTO `t_region` VALUES ('150223', '达尔罕茂明安联合旗', '150200', '达尔罕茂明安联合', 3, '2', 0);
INSERT INTO `t_region` VALUES ('150300', '乌海市', '150000', '乌海', 2, '9', 0);
INSERT INTO `t_region` VALUES ('150302', '海勃湾区', '150300', '海勃湾', 3, '1', 0);
INSERT INTO `t_region` VALUES ('150303', '海南区', '150300', '海南', 3, '2', 0);
INSERT INTO `t_region` VALUES ('150304', '乌达区', '150300', '乌达', 3, '3', 0);
INSERT INTO `t_region` VALUES ('150400', '赤峰市', '150000', '赤峰', 2, '4', 0);
INSERT INTO `t_region` VALUES ('150402', '红山区', '150400', '红山', 3, '5', 0);
INSERT INTO `t_region` VALUES ('150403', '元宝山区', '150400', '元宝山', 3, '12', 0);
INSERT INTO `t_region` VALUES ('150404', '松山区', '150400', '松山', 3, '10', 0);
INSERT INTO `t_region` VALUES ('150421', '阿鲁科尔沁旗', '150400', '阿鲁科尔沁', 3, '1', 0);
INSERT INTO `t_region` VALUES ('150422', '巴林左旗', '150400', '巴林左', 3, '4', 0);
INSERT INTO `t_region` VALUES ('150423', '巴林右旗', '150400', '巴林右', 3, '3', 0);
INSERT INTO `t_region` VALUES ('150424', '林西县', '150400', '林西', 3, '8', 0);
INSERT INTO `t_region` VALUES ('150425', '克什克腾旗', '150400', '克什克腾', 3, '7', 0);
INSERT INTO `t_region` VALUES ('150426', '翁牛特旗', '150400', '翁牛特', 3, '11', 0);
INSERT INTO `t_region` VALUES ('150428', '喀喇沁旗', '150400', '喀喇沁', 3, '6', 0);
INSERT INTO `t_region` VALUES ('150429', '宁城县', '150400', '宁城', 3, '9', 0);
INSERT INTO `t_region` VALUES ('150430', '敖汉旗', '150400', '敖汉', 3, '2', 0);
INSERT INTO `t_region` VALUES ('150500', '通辽市', '150000', '通辽', 2, '8', 0);
INSERT INTO `t_region` VALUES ('150502', '科尔沁区', '150500', '科尔沁', 3, '3', 0);
INSERT INTO `t_region` VALUES ('150521', '科尔沁左翼中旗', '150500', '科尔沁左翼中', 3, '5', 0);
INSERT INTO `t_region` VALUES ('150522', '科尔沁左翼后旗', '150500', '科尔沁左翼后', 3, '4', 0);
INSERT INTO `t_region` VALUES ('150523', '开鲁县', '150500', '开鲁', 3, '2', 0);
INSERT INTO `t_region` VALUES ('150524', '库伦旗', '150500', '库伦', 3, '6', 0);
INSERT INTO `t_region` VALUES ('150525', '奈曼旗', '150500', '奈曼', 3, '7', 0);
INSERT INTO `t_region` VALUES ('150526', '扎鲁特旗', '150500', '扎鲁特', 3, '8', 0);
INSERT INTO `t_region` VALUES ('150581', '霍林郭勒市', '150500', '霍林郭勒', 3, '1', 0);
INSERT INTO `t_region` VALUES ('150600', '鄂尔多斯市', '150000', '鄂尔多斯', 2, '5', 0);
INSERT INTO `t_region` VALUES ('150602', '东胜区', '150600', '东胜', 3, '2', 0);
INSERT INTO `t_region` VALUES ('150621', '达拉特旗', '150600', '达拉特', 3, '1', 0);
INSERT INTO `t_region` VALUES ('150622', '准格尔旗', '150600', '准格尔', 3, '8', 0);
INSERT INTO `t_region` VALUES ('150623', '鄂托克前旗', '150600', '鄂托克前', 3, '4', 0);
INSERT INTO `t_region` VALUES ('150624', '鄂托克旗', '150600', '鄂托克', 3, '3', 0);
INSERT INTO `t_region` VALUES ('150625', '杭锦旗', '150600', '杭锦', 3, '5', 0);
INSERT INTO `t_region` VALUES ('150626', '乌审旗', '150600', '乌审', 3, '6', 0);
INSERT INTO `t_region` VALUES ('150627', '伊金霍洛旗', '150600', '伊金霍洛', 3, '7', 0);
INSERT INTO `t_region` VALUES ('150700', '呼伦贝尔市', '150000', '呼伦贝尔', 2, '7', 0);
INSERT INTO `t_region` VALUES ('150702', '海拉尔区', '150700', '海拉尔', 3, '7', 0);
INSERT INTO `t_region` VALUES ('150703', '扎赉诺尔区', '150700', '扎赉诺尔', 3, '13', 0);
INSERT INTO `t_region` VALUES ('150721', '阿荣旗', '150700', '阿荣', 3, '1', 0);
INSERT INTO `t_region` VALUES ('150722', '莫力达瓦达斡尔族自治旗', '150700', '莫力达瓦', 3, '9', 0);
INSERT INTO `t_region` VALUES ('150723', '鄂伦春自治旗', '150700', '鄂伦春', 3, '4', 0);
INSERT INTO `t_region` VALUES ('150724', '鄂温克族自治旗', '150700', '鄂温克', 3, '5', 0);
INSERT INTO `t_region` VALUES ('150725', '陈巴尔虎旗', '150700', '陈巴尔虎', 3, '2', 0);
INSERT INTO `t_region` VALUES ('150726', '新巴尔虎左旗', '150700', '新巴尔虎左', 3, '11', 0);
INSERT INTO `t_region` VALUES ('150727', '新巴尔虎右旗', '150700', '新巴尔虎右', 3, '10', 0);
INSERT INTO `t_region` VALUES ('150781', '满洲里市', '150700', '满洲里', 3, '8', 0);
INSERT INTO `t_region` VALUES ('150782', '牙克石市', '150700', '牙克石', 3, '12', 0);
INSERT INTO `t_region` VALUES ('150783', '扎兰屯市', '150700', '扎兰屯', 3, '14', 0);
INSERT INTO `t_region` VALUES ('150784', '额尔古纳市', '150700', '额尔古纳', 3, '3', 0);
INSERT INTO `t_region` VALUES ('150785', '根河市', '150700', '根河', 3, '6', 0);
INSERT INTO `t_region` VALUES ('150800', '巴彦淖尔市', '150000', '巴彦淖尔', 2, '3', 0);
INSERT INTO `t_region` VALUES ('150802', '临河区', '150800', '临河', 3, '3', 0);
INSERT INTO `t_region` VALUES ('150821', '五原县', '150800', '五原', 3, '7', 0);
INSERT INTO `t_region` VALUES ('150822', '磴口县', '150800', '磴口', 3, '1', 0);
INSERT INTO `t_region` VALUES ('150823', '乌拉特前旗', '150800', '乌拉特前', 3, '5', 0);
INSERT INTO `t_region` VALUES ('150824', '乌拉特中旗', '150800', '乌拉特中', 3, '6', 0);
INSERT INTO `t_region` VALUES ('150825', '乌拉特后旗', '150800', '乌拉特后', 3, '4', 0);
INSERT INTO `t_region` VALUES ('150826', '杭锦后旗', '150800', '杭锦后', 3, '2', 0);
INSERT INTO `t_region` VALUES ('150900', '乌兰察布市', '150000', '乌兰察布', 2, '10', 0);
INSERT INTO `t_region` VALUES ('150902', '集宁区', '150900', '集宁', 3, '6', 0);
INSERT INTO `t_region` VALUES ('150921', '卓资县', '150900', '卓资', 3, '11', 0);
INSERT INTO `t_region` VALUES ('150922', '化德县', '150900', '化德', 3, '5', 0);
INSERT INTO `t_region` VALUES ('150923', '商都县', '150900', '商都', 3, '8', 0);
INSERT INTO `t_region` VALUES ('150924', '兴和县', '150900', '兴和', 3, '10', 0);
INSERT INTO `t_region` VALUES ('150925', '凉城县', '150900', '凉城', 3, '7', 0);
INSERT INTO `t_region` VALUES ('150926', '察哈尔右翼前旗', '150900', '察哈尔右翼前', 3, '2', 0);
INSERT INTO `t_region` VALUES ('150927', '察哈尔右翼中旗', '150900', '察哈尔右翼中', 3, '3', 0);
INSERT INTO `t_region` VALUES ('150928', '察哈尔右翼后旗', '150900', '察哈尔右翼后', 3, '1', 0);
INSERT INTO `t_region` VALUES ('150929', '四子王旗', '150900', '四子王', 3, '9', 0);
INSERT INTO `t_region` VALUES ('150981', '丰镇市', '150900', '丰镇', 3, '4', 0);
INSERT INTO `t_region` VALUES ('152200', '兴安盟', '150000', '兴安', 2, '12', 0);
INSERT INTO `t_region` VALUES ('152201', '乌兰浩特市', '152200', '乌兰浩特', 3, '5', 0);
INSERT INTO `t_region` VALUES ('152202', '阿尔山市', '152200', '阿尔山', 3, '1', 0);
INSERT INTO `t_region` VALUES ('152221', '科尔沁右翼前旗', '152200', '科尔沁右翼前', 3, '2', 0);
INSERT INTO `t_region` VALUES ('152222', '科尔沁右翼中旗', '152200', '科尔沁右翼中', 3, '3', 0);
INSERT INTO `t_region` VALUES ('152223', '扎赉特旗', '152200', '扎赉特', 3, '6', 0);
INSERT INTO `t_region` VALUES ('152224', '突泉县', '152200', '突泉', 3, '4', 0);
INSERT INTO `t_region` VALUES ('152500', '锡林郭勒盟', '150000', '锡林郭勒', 2, '11', 0);
INSERT INTO `t_region` VALUES ('152501', '二连浩特市', '152500', '二连浩特', 3, '4', 0);
INSERT INTO `t_region` VALUES ('152502', '锡林浩特市', '152500', '锡林浩特', 3, '9', 0);
INSERT INTO `t_region` VALUES ('152522', '阿巴嘎旗', '152500', '阿巴嘎', 3, '1', 0);
INSERT INTO `t_region` VALUES ('152523', '苏尼特左旗', '152500', '苏尼特左', 3, '6', 0);
INSERT INTO `t_region` VALUES ('152524', '苏尼特右旗', '152500', '苏尼特右', 3, '5', 0);
INSERT INTO `t_region` VALUES ('152525', '东乌珠穆沁旗', '152500', '东乌珠穆沁', 3, '2', 0);
INSERT INTO `t_region` VALUES ('152526', '西乌珠穆沁旗', '152500', '西乌珠穆沁', 3, '10', 0);
INSERT INTO `t_region` VALUES ('152527', '太仆寺旗', '152500', '太仆寺', 3, '7', 0);
INSERT INTO `t_region` VALUES ('152528', '镶黄旗', '152500', '镶黄', 3, '8', 0);
INSERT INTO `t_region` VALUES ('152529', '正镶白旗', '152500', '正镶白', 3, '12', 0);
INSERT INTO `t_region` VALUES ('152530', '正蓝旗', '152500', '正蓝', 3, '11', 0);
INSERT INTO `t_region` VALUES ('152531', '多伦县', '152500', '多伦', 3, '3', 0);
INSERT INTO `t_region` VALUES ('152900', '阿拉善盟', '150000', '阿拉善', 2, '1', 0);
INSERT INTO `t_region` VALUES ('152921', '阿拉善左旗', '152900', '阿拉善左', 3, '2', 0);
INSERT INTO `t_region` VALUES ('152922', '阿拉善右旗', '152900', '阿拉善右', 3, '1', 0);
INSERT INTO `t_region` VALUES ('152923', '额济纳旗', '152900', '额济纳', 3, '3', 0);
INSERT INTO `t_region` VALUES ('210000', '辽宁省', '0', '辽宁', 1, '6', 0);
INSERT INTO `t_region` VALUES ('210100', '沈阳市', '210000', '沈阳', 2, '12', 0);
INSERT INTO `t_region` VALUES ('210102', '和平区', '210100', '和平', 3, '4', 0);
INSERT INTO `t_region` VALUES ('210103', '沈河区', '210100', '沈河', 3, '9', 0);
INSERT INTO `t_region` VALUES ('210104', '大东区', '210100', '大东', 3, '1', 0);
INSERT INTO `t_region` VALUES ('210105', '皇姑区', '210100', '皇姑', 3, '5', 0);
INSERT INTO `t_region` VALUES ('210106', '铁西区', '210100', '铁西', 3, '11', 0);
INSERT INTO `t_region` VALUES ('210111', '苏家屯区', '210100', '苏家屯', 3, '10', 0);
INSERT INTO `t_region` VALUES ('210112', '东陵区', '210100', '东陵', 3, '2', 0);
INSERT INTO `t_region` VALUES ('210114', '于洪区', '210100', '于洪', 3, '13', 0);
INSERT INTO `t_region` VALUES ('210122', '辽中县', '210100', '辽中', 3, '7', 0);
INSERT INTO `t_region` VALUES ('210123', '康平县', '210100', '康平', 3, '6', 0);
INSERT INTO `t_region` VALUES ('210124', '法库县', '210100', '法库', 3, '3', 0);
INSERT INTO `t_region` VALUES ('210181', '新民市', '210100', '新民', 3, '12', 0);
INSERT INTO `t_region` VALUES ('210184', '沈北新区', '210100', '沈北', 3, '8', 0);
INSERT INTO `t_region` VALUES ('210200', '大连市', '210000', '大连', 2, '4', 0);
INSERT INTO `t_region` VALUES ('210202', '中山区', '210200', '中山', 3, '4', 0);
INSERT INTO `t_region` VALUES ('210203', '西岗区', '210200', '西岗', 3, '9', 0);
INSERT INTO `t_region` VALUES ('210204', '沙河口区', '210200', '沙河口', 3, '7', 0);
INSERT INTO `t_region` VALUES ('210211', '甘井子区', '210200', '甘井子', 3, '2', 0);
INSERT INTO `t_region` VALUES ('210212', '旅顺口区', '210200', '旅顺口', 3, '5', 0);
INSERT INTO `t_region` VALUES ('210213', '金州区', '210200', '金州', 3, '3', 0);
INSERT INTO `t_region` VALUES ('210224', '长海县', '210200', '长海', 3, '1', 0);
INSERT INTO `t_region` VALUES ('210281', '瓦房店市', '210200', '瓦房店', 3, '8', 0);
INSERT INTO `t_region` VALUES ('210282', '普兰店市', '210200', '普兰店', 3, '6', 0);
INSERT INTO `t_region` VALUES ('210283', '庄河市', '210200', '庄河', 3, '10', 0);