# API期末项目 **Repository Path**: ss-1621/api-final-project ## Basic Information - **Project Name**: API期末项目 - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-01-23 - **Last Updated**: 2021-01-25 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # API之智能产品fun-face ---------------------------------------------------------------- - [ppt汇报](ppt汇报.pptx) - 该产品注重于用户在娱乐时体验，有着许多关于人脸的测试的小游戏。帮助用户在无聊或者抱着好奇的心理来进行脸部方面的体验。fun-face小游戏是一款为了让广大用户在闲暇时刻进行消遣的一款小游戏，可以用来打发时间并进行娱乐测试。“**fun-face**”是一款可以为用户提供“**夫妻相测试**”、“**颜值打分**”、“**明星脸测试**”、“**未来孩子长相**”的小程序。该产品只是为了给用户带来一点乐趣，所以其所需要的api不需要特别精准，而目前市场相关的api技术也已经相对成熟了。 #### 简介含问题及解决方案，融合概率性考量 ##### 问题情景 - 当大家在闲暇时刻，想消遣时间的时候，却又不知道做什么？ - 作为追星族们都很好奇自己跟爱豆有没有夫妻相？ - 一些处于恋爱期间的情侣好奇自己是否跟他（她）有缘分？ - 一些情侣好奇自己的孩子将来长什么样？ ##### 解决方案 - 以用户为中心，利用face++平台的api接口来实现产品的功能去解决用户的问题。 文档名称|《fun-face》——产品需求文档 -|- 产品名称|fun-face 产品描述|一款可进行“**夫妻相测试**”、“**颜值打分**”、“**明星脸测试**”、“**未来孩子长相**”的小游戏 产品版本|1.0 文件现状|进行中 产品作者|肖亮书 ---------------------------------------------------------- ## fun-face人脸测试小游戏与需求列表 - 随着科学与社会的进步，越来越多帮助人们消遣的小游戏也随之出现了，而随着生活节奏的加快，人们也越来越喜欢一些简单方便的小产品，包括游戏也是如此。 - 在人们闲暇时，想打发时间的时候，选择小游戏的时候是因为不用下载，而我们这种小程序就可以满足他们的需求。就是因为方便简单，所以该游戏方面也是遵循这个特色。 ---------------------------------------------------------- ### 人脸测试小游戏 - 目标用户群体： 1. 在闲暇时想玩一下小游戏消遣时间的用户 2. 作为追星族们好奇自己跟爱豆有没有夫妻相 3. 一些处于恋爱期间的情侣好奇自己是否跟他（她）是否有缘分 4. 一些情侣好奇自己的孩子将来长什么样 - 用户画像及使用场景 ![用户画像1](image/用户画像1.jpg) 1. Andy是一个喜欢明星的追星女孩，只要是帅哥她都爱。但是因为平常工作繁忙生活没什么乐趣，所以在工作繁忙休息下来的时候，她喜欢测试一下哪个明星跟自己夫妻相最高，把自己的照片和明星进行合成，来想像她们俩生下来的孩子。 ![用户画像2](image/用户画像2.jpg) 2. Tom是一个演艺学院毕业的男孩，他有一颗想演艺的明星梦，在自己无聊的时候他喜欢拿自己的脸去匹配明星，看看自己跟哪个明星最像，然后自导自演他的戏份,或者拿自己的颜值去和其他明星的颜值进行比对。 - 需求： 1. 打发闲暇的时间但又不想下载大软件的用户。 2. 追星族的用户对偶像的脸测试的好奇。 3. 对缘分抱着相信的用户。 4. 对自己孩子长相的好奇 - 痛点： 1. 所有功能都是人工智能api识别并没有什么缘分，有的只是高科技。 2. 太精准的人脸识别、对比、合成api不适合做小游戏，而且过分需要金钱和时间。 - 增长点： 1. 每个功能的针对性强。 2. 需要的技术不需要太精准。 ---------------------------------------------------------- - 核心价值 1. 通过颜值打分，人脸对比等技术，为用户解决在闲暇时候的高级小游戏，然后用户对自己的颜值，和人脸的运用测试进行打分等高级消遣小游戏。 - 价值宣言 1. 通过人脸合成api，颜值打分api，人脸对比api，可以让用户更加便捷得到“**夫妻相测试**”、“**颜值打分**”、“**明星脸测试**”、“**未来孩子长相**”等游戏的结果，满足用户心理上的安慰。 - 利益相关图 ![利益相关图](image/利益相关图.jpg) - 产品功能结构图 ![产品功能结构图](image/产品功能结构图.jpg) - 用户流程图 ![用户流程图](image/用户流程图.jpg) ### 需求列表 | 优先级 | 需求 | 智能加值 | API类型 | |---|---|---|---| | 1 | 夫妻相、明星脸 | 是 | 人脸对比 | | 2 | 颜值打分 | 是 | 颜值打分 | | 3 | 未来孩子长相 | 是 | 人脸合成 | ### 需求论证展示利害相关者分析 | 人工智能类型 | 人脸识别API、人脸合成API、人脸对比API | |--------|------------------------------| | 系统性偏差 | 系统性偏差小，因市场上该技术相对成熟，且该产品不需要精度特别高 | | ESG考量 | 关于用户上传照片的隐私是否会泄露 | ## fun-face人脸测试 - 用户选择功能，上传相应图片。识别相对应的人脸，然后完成“**夫妻相测试**”、“**颜值打分**”、“**明星脸测试**”、“**未来孩子长相**”等小游戏的测试。 | 商业可行性 | 市场上这种类型的小游戏很少，加上是以小程序的方式出现，所以有很大的广告市场机会。 | |---|---| | **技术可行性** | 使用的api技术多为底层技术，已被广泛使用，且不需要较高精度 | | **用户可欲性** | 能够有针对性的功能测试和娱乐，足以满足用户的好奇心 | ---------------------------------------------------------- ### 界面流程及关键智能交互 - [产品原型链接](https://modao.cc/app/2ca7a697dc004523910514e0580e4059bce8ba0f?simulator_type=device&sticky) - 产品结构图 ![产品结构图](image/产品结构图.jpg) - **“fun-face”**小程序是通过人脸合成api，颜值打分api和人脸对比api，可以让用户更加便捷得到**夫妻相测试**，**颜值打分**，**明星脸测试**，**未来孩子长相**等游戏的结果，满足用户心理上的安慰。通过颜值打分，人脸对比等技术，为用户打发在闲暇时候的高级小游戏，然后用户对自己的颜值，和人脸的运用测试进行打分等高级消遣小游戏。 ![主页](image/1_主页.png) - 夫妻相测试和明星脸测试，是通过人脸对比api进行人脸对比分析。 ![夫妻相测试](image/6_夫妻相测试.png) ![明星脸测试](image/8_明星脸测试.png) - 颜值打分，是通过人脸识别api来进行颜值高低的检测。 ![颜值打分](image/7_颜值打分.png) - 未来孩子长相，是通过人脸合成api来进行的。 ![未来孩子长相](image/9_未来孩子长相.png) - 个人页面 ![个人中心](image/3_个人中心.png) - 客服 ![联系客服](image/2_联系客服.png) - 产品交互图 ![产品交互图](image/产品交互图.png) ------------------------------------------------------------------------------------------ ### 数据流程和智能API使用 ![数据流程图](image/数据流程图.jpg) - 用户进入产品后，选择需要相应的功能，通过用户上传的图片，应用根据所选择的数据进行计算并反馈结果。 ---------------------------------------------------------- #### API 测试之代码 * 人脸对比 In: ``` api_secret = "NyWOgt4xlo3DKYLGKS9lXv0mtjmZYxC7" api_key = 'nlC1I2vLqIlgxD820qhDf7sNQ3yPiew3' base_url = 'https://api-cn.faceplusplus.com/facepp/v3/compare' img_url1 = 'https://th.bing.com/th/id/R38689c9764aee2191fd11614c23bafb1?rik=c6up6Jlor%2b5rBg&riu=http%3a%2f%2fwww.deepfacetech.com%2fwp-content%2fuploads%2f2019%2f12%2f1575023101670693_85331.jpg&ehk=GrmOU3g1Uje3ZryaV4i3kHMtkpNnN%2bK4NTMKxxo1lj0%3d&risl=&pid=ImgRaw' img_url2 = "https://th.bing.com/th/id/R548df42f91e6ca5a8967b0990ade8518?rik=CRIf53vMQRVE4A&riu=http%3a%2f%2fwww.deepfacetech.com%2fwp-content%2fuploads%2f2019%2f12%2f15750948560387735_52166.jpg&ehk=QB0dQc5UL4wzNx7hSsP3%2beAuVac%2bRK%2fhyIlcp3o%2fkxM%3d&risl=&pid=ImgRaw" headers = { 'Content-Type': 'application/json', } payload = { "image_url1":img_url1, 'api_key': api_key, 'api_secret': api_secret, "image_url2":img_url2, } r = requests.post(base_url, params=payload, headers=headers) r.status_code r.content results = r.json() results ``` Out: ``` {'faces1': [{'face_rectangle': {'width': 538, 'top': 372, 'left': 225, 'height': 538}, 'face_token': 'b7952c9d5be8500416fa84467c07e090'}], 'faces2': [{'face_rectangle': {'width': 550, 'top': 383, 'left': 247, 'height': 550}, 'face_token': 'fc5a772110394218831e211999b0147c'}], 'time_used': 675, 'thresholds': {'1e-3': 62.327, '1e-5': 73.975, '1e-4': 69.101}, 'confidence': 86.025, 'image_id2': '3fPQiriGfkRAoyYWPDGATA==', 'image_id1': 'LTP6tVpvs7QA3XcyRZo2Qw==', 'request_id': '1611375760,b4fdc5d9-8845-47fa-b5ae-5ad53e541c27'} ``` * 人脸合成 In: ``` api_secret = "NyWOgt4xlo3DKYLGKS9lXv0mtjmZYxC7" api_key = 'nlC1I2vLqIlgxD820qhDf7sNQ3yPiew3' base_url = 'https://api-cn.faceplusplus.com/facepp/v3/face/analyze' face_tokens ="a74f6a9668a221ac9ca7ee3e093b6e37" # img_url1 = 'https://th.bing.com/th/id/R38689c9764aee2191fd11614c23bafb1?rik=c6up6Jlor%2b5rBg&riu=http%3a%2f%2fwww.deepfacetech.com%2fwp-content%2fuploads%2f2019%2f12%2f1575023101670693_85331.jpg&ehk=GrmOU3g1Uje3ZryaV4i3kHMtkpNnN%2bK4NTMKxxo1lj0%3d&risl=&pid=ImgRaw' # img_url2 = "https://th.bing.com/th/id/R548df42f91e6ca5a8967b0990ade8518?rik=CRIf53vMQRVE4A&riu=http%3a%2f%2fwww.deepfacetech.com%2fwp-content%2fuploads%2f2019%2f12%2f15750948560387735_52166.jpg&ehk=QB0dQc5UL4wzNx7hSsP3%2beAuVac%2bRK%2fhyIlcp3o%2fkxM%3d&risl=&pid=ImgRaw" headers = { 'Content-Type': 'application/json', } payload = { "face_tokens":face_tokens, 'api_key': api_key, 'api_secret': api_secret, 'return_landmark':"2", } r = requests.post(base_url, params=payload, headers=headers) r.status_code r.content results = r.json() results ``` Out: ``` {'time_used': 120, 'request_id': '1611375761,ba0fbacb-6e03-4eb9-b3c1-3dd215fbcf96', 'faces': [{'landmark': {'contour_chin': {'y': 893, 'x': 512}, 'left_eye_upper_left_quarter': {'y': 467, 'x': 354}, 'mouth_lower_lip_right_contour1': {'y': 755, 'x': 559}, 'left_eye_bottom': {'y': 504, 'x': 381}, 'mouth_lower_lip_right_contour2': {'y': 767, 'x': 582}, 'contour_left7': {'y': 655, 'x': 259}, 'contour_left6': {'y': 621, 'x': 250}, 'contour_left5': {'y': 588, 'x': 242}, 'contour_left4': {'y': 554, 'x': 236}, 'contour_left3': {'y': 519, 'x': 231}, 'contour_left2': {'y': 484, 'x': 229}, 'contour_left1': {'y': 446, 'x': 229}, 'left_eye_lower_left_quarter': {'y': 496, 'x': 351}, 'contour_right1': {'y': 440, 'x': 768}, 'contour_right3': {'y': 511, 'x': 764}, 'contour_right2': {'y': 476, 'x': 767}, 'contour_right5': {'y': 577, 'x': 752}, 'contour_right4': {'y': 544, 'x': 759}, 'contour_right7': {'y': 641, 'x': 733}, 'left_eyebrow_left_corner': {'y': 422, 'x': 275}, 'right_eye_right_corner': {'y': 474, 'x': 695}, 'nose_bridge1': {'y': 484, 'x': 517}, 'nose_bridge3': {'y': 598, 'x': 522}, 'nose_bridge2': {'y': 541, 'x': 519}, 'right_eyebrow_upper_left_corner': {'y': 415, 'x': 576}, 'mouth_upper_lip_right_contour4': {'y': 753, 'x': 558}, 'mouth_upper_lip_right_contour1': {'y': 735, 'x': 536}, 'right_eye_left_corner': {'y': 497, 'x': 587}, 'left_eyebrow_upper_right_corner': {'y': 411, 'x': 460}, 'left_eyebrow_upper_middle': {'y': 382, 'x': 364}, 'mouth_lower_lip_right_contour3': {'y': 792, 'x': 555}, 'nose_left_contour3': {'y': 662, 'x': 451}, 'mouth_lower_lip_bottom': {'y': 802, 'x': 515}, 'mouth_upper_lip_right_contour2': {'y': 737, 'x': 569}, 'left_eye_top': {'y': 463, 'x': 387}, 'nose_left_contour1': {'y': 500, 'x': 480}, 'mouth_upper_lip_bottom': {'y': 762, 'x': 514}, 'mouth_upper_lip_left_contour2': {'y': 739, 'x': 453}, 'mouth_upper_lip_top': {'y': 742, 'x': 514}, 'mouth_upper_lip_left_contour1': {'y': 736, 'x': 491}, 'mouth_upper_lip_left_contour4': {'y': 754, 'x': 464}, 'right_eye_top': {'y': 456, 'x': 638}, 'mouth_upper_lip_right_contour3': {'y': 740, 'x': 589}, 'right_eye_bottom': {'y': 499, 'x': 646}, 'right_eyebrow_lower_left_corner': {'y': 436, 'x': 581}, 'mouth_left_corner': {'y': 739, 'x': 411}, 'nose_middle_contour': {'y': 694, 'x': 522}, 'right_eye_lower_right_quarter': {'y': 489, 'x': 674}, 'right_eyebrow_lower_right_quarter': {'y': 407, 'x': 705}, 'contour_right9': {'y': 703, 'x': 707}, 'mouth_right_corner': {'y': 735, 'x': 603}, 'right_eye_lower_left_quarter': {'y': 499, 'x': 615}, 'right_eye_center': {'y': 476, 'x': 635}, 'left_eye_upper_right_quarter': {'y': 474, 'x': 418}, 'right_eyebrow_lower_left_quarter': {'y': 420, 'x': 623}, 'left_eye_pupil': {'y': 482, 'x': 388}, 'contour_right8': {'y': 672, 'x': 721}, 'contour_left13': {'y': 831, 'x': 375}, 'left_eyebrow_lower_right_quarter': {'y': 421, 'x': 410}, 'left_eye_right_corner': {'y': 500, 'x': 440}, 'left_eyebrow_lower_right_corner': {'y': 435, 'x': 456}, 'mouth_upper_lip_left_contour3': {'y': 742, 'x': 426}, 'left_eyebrow_lower_left_quarter': {'y': 415, 'x': 318}, 'mouth_lower_lip_left_contour1': {'y': 757, 'x': 464}, 'mouth_lower_lip_left_contour3': {'y': 793, 'x': 472}, 'mouth_lower_lip_left_contour2': {'y': 769, 'x': 439}, 'contour_left9': {'y': 720, 'x': 287}, 'left_eye_lower_right_quarter': {'y': 503, 'x': 412}, 'contour_right6': {'y': 609, 'x': 743}, 'nose_tip': {'y': 655, 'x': 525}, 'right_eyebrow_upper_middle': {'y': 380, 'x': 661}, 'right_eyebrow_lower_middle': {'y': 410, 'x': 665}, 'left_eye_center': {'y': 482, 'x': 388}, 'right_eyebrow_upper_left_quarter': {'y': 394, 'x': 616}, 'right_eyebrow_right_corner': {'y': 408, 'x': 742}, 'right_eyebrow_upper_right_quarter': {'y': 381, 'x': 706}, 'contour_left16': {'y': 890, 'x': 470}, 'contour_left15': {'y': 876, 'x': 434}, 'contour_left14': {'y': 855, 'x': 403}, 'left_eyebrow_upper_right_quarter': {'y': 392, 'x': 415}, 'contour_left12': {'y': 805, 'x': 350}, 'contour_left11': {'y': 778, 'x': 327}, 'contour_left10': {'y': 750, 'x': 305}, 'left_eyebrow_lower_middle': {'y': 414, 'x': 363}, 'left_eyebrow_upper_left_quarter': {'y': 388, 'x': 314}, 'right_eye_upper_right_quarter': {'y': 459, 'x': 669}, 'nose_right_contour4': {'y': 676, 'x': 569}, 'nose_right_contour5': {'y': 683, 'x': 547}, 'nose_left_contour4': {'y': 678, 'x': 472}, 'nose_left_contour5': {'y': 685, 'x': 496}, 'nose_left_contour2': {'y': 617, 'x': 465}, 'nose_right_contour1': {'y': 499, 'x': 551}, 'nose_right_contour2': {'y': 616, 'x': 573}, 'nose_right_contour3': {'y': 659, 'x': 588}, 'left_eye_left_corner': {'y': 483, 'x': 326}, 'contour_right15': {'y': 865, 'x': 582}, 'contour_right14': {'y': 840, 'x': 607}, 'contour_right16': {'y': 883, 'x': 551}, 'contour_right11': {'y': 760, 'x': 671}, 'contour_right10': {'y': 732, 'x': 690}, 'contour_right13': {'y': 813, 'x': 629}, 'contour_right12': {'y': 787, 'x': 651}, 'contour_left8': {'y': 688, 'x': 271}, 'mouth_lower_lip_top': {'y': 765, 'x': 514}, 'right_eye_upper_left_quarter': {'y': 469, 'x': 608}, 'right_eye_pupil': {'y': 476, 'x': 635}}, 'face_rectangle': {'width': 538, 'top': 372, 'left': 225, 'height': 538}, 'face_token': 'a74f6a9668a221ac9ca7ee3e093b6e37'}]} ``` * 颜值打分 In: ``` api_secret = "NyWOgt4xlo3DKYLGKS9lXv0mtjmZYxC7" api_key = 'nlC1I2vLqIlgxD820qhDf7sNQ3yPiew3' base_url = 'https://api-cn.faceplusplus.com/imagepp/v1/mergeface' face_tokens ="a74f6a9668a221ac9ca7ee3e093b6e37" template_url = 'https://tse1-mm.cn.bing.net/th/id/OIP.edmtmM-iFapg6uD-UsoCNQHaE5?pid=Api&rs=1' merge_url = "https://ss1.bdstatic.com/70cFvXSh_Q1YnxGkpoWK1HF6hhy/it/u=3311813577,824016484&fm=26&gp=0.jpg" headers = { 'Content-Type': 'application/json', } payload = { "merge_url":merge_url, 'api_key': api_key, 'api_secret': api_secret, 'template_url':template_url, } r = requests.post(base_url, params=payload, headers=headers) r.status_code r.content results = r.json() results ``` Out: ``` {'request_id': '1611375762,6a6f28f1-4c3e-4f1f-b990-51607e3be3be', 'time_used': 570, 'result': 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0zxKXENeg/ZVT9uINd02eGK5/10U3+ong/fVQ1Wa287pX5k/ssfts+NvgTqUWieINRu9W8Of6qexnn/1P/XGvvDwt8WvCfxM0i18WeAPEcWoWMv8Ay3guP9T/APbq+YzDKK+DrH1mXZtQzKidRrkFrP8A9da5K+8K2080X2i2/wBdXUQT1a8i2nmi/wBGryf4J6H8Y5LyP7Kh+zXFHn23k4ua9Ln8K22q6bF/o3/LCuI8VeALqCGUfZq29sP2R5L4/n/fZtz/AK6qGlQW3k1a8fwXME3FUNL1W2gh/wCms1da/gHk1f44TwUQfZv+PbNZc+q/9PNRQarc+dXQtg9qg1X7NBxiqE/7/rVrVZ/P/wCXb/plVXyPO4xVUjIqwfuJqlh6/jUU8Agn+zYqatznJP7Ktp6oTwW3rWp5A8msvVf3HFKkOqUJ9Ko/sq2n/wBGqKfVfI/5eai0rVbbzv8Aj5/Oq1OY1P7Ctv8An3/SrWlaHbfvaq/2tbf8/P8Arqv6Hqumwebi5pHTS9hYPI8gy4rnPFU/kTf9Mq1NVuP9b9nrkvFU9z/Zsv8ApP72tKNL21c5a1UwYNK/tzWJbnNb3/CN23/Psay/Cs9tn/j5rqDPbTw/8fP/AFwrrq1a60OOlSuY0/2axhqh/wAJJ/08ir/iSe28iW2/c1xn2i19T+dTBaDI4L7+yv8ASc1veHNcuZ64PVdV8+uo+HMFzqtn9m/543FenWpfuPanJRrfv/ZHpeh5nmiro/sJ/tLt5VHhvwrc+T9pq/PAPOitq+erVT6GlR/cGz4bnttKo1zxHmGsqf8A1Q+tc74j1Xz/APl5/wBTWXsvbGtWr7GgGq65580tSQ9PwrnYJ/33FaltXUef7W7OoggtvJrrfDmlfucmuD0rVa7fwrPdT159Y9ajsb32G28mqH9lfvq6ODSrnyf8aq+Rc+d0/wCW9cZ1rc+gv2ZdVtv7Ni0w17d/yzrxv9mXwrc3Gjxa3/z2r2n+yrnyazOxbHl/xonuYIf+Pn91XzT4/wDFXnz/ANmW/wD1ynr6W/aaguYPBMv2f/n4/wBfXyX5Fz53+kf9daKVIwqlDVYKlggqXVYKNL/11dhyf8vy1BBVryLaCrVvb+RUU3X8a5zYyv8ARqWef9zRN1/Gov8AlnXQBFAPP5re0qC5rL0mCt6D9xN0rnFSN7w5pXnzRW2K7eDw5/qq5fwP9mn1iL/2vXpc/wBmghiFctU7KJzk8Hkf+A9ReFfA/wDwkf2rUtYufJtbP97ceR/y2renn03/AJeP3MUP/HxPWD+018YvCXgD4PxW2kcRWdv5urz/AGfyfOmm/wBTD/8AHqKNF1mKtV9j+8PAv24P2xNN8AaPL8LvhOYbS68jyr++sbjyoZv/AI/NXwfB4q1vxx48i/tjUvNlvJ/Knvr648nzq634qaH4l1vTbr4s6xc+bFeXE3kTz/vfOh/+M15pofhXxJ4jmurnT7ab/Q4PNuP9Ir9CyrCUKGHufnOa4uvXxB6t8OdVufCvhvXtE8QeANP1G6h/dW995E3nWf77/XWc0H/TavS/g9rfhzxH8PZPDlz4+0QayZ/Ktzqs/wC+h87/AJ7f895qveAdbufiLDqni3wP9r/tmz8Mw3er6HPYedZ3nk/uZv8ArhDND5M1Sz+I/hcPBMWt+OPg7omrWsNx/o/iPQ7jzbuGH/nj/wBMPJ/6bVzVqvtmd+EpKijyr40/B3wj4cF1/Z/i27muvtH+kWN9B9k8mb/4zXiOqwalpU39m3Ft/qf9f/y2r2n47+KvBPiOGwufB+mzWnk/urixnt/O87/pt/8Aua8W1WfE3/bx5Xkf88a9rL/b+w/eniZj7D2/7sq+dde9ejfs9fH7xH8CPG0WtWFzLNpc37rVrH/ntD/8erziprauutRoVqHs6h5+ErV8PX9pTP1e8A/EXwn438OWHi3QNRiu7C7g/cT11EHiO286LP7r/SK/PH9ib41al4H8a/8ACAahqUv9max/qIJ7j/Uzf/bq+r/+E48g8f8APxX5xmWXfU8RpsfpmXZtRxlCx9c6HPbf2b/o9Y3iPSvP83Iqr8FvFVtqvhuIz3P72utn+zGGW5ryj2D5k+O/hvyP9Kt7avIPPufSvpH9pO303/hG5bm3tv8AprXy1/av76Wu/CfvqB5GL/c1yXzz51Swd6qwXFt1uK1ND+zTzc/8+9eiZB9m9qJ4Ps9X54P31UNW7VzgVf8AlrUlZk8/2fUql/tb2/Sugw9qan2n3rL1v/CrXn+1Zeuar/rRmlRCrscb4jn8j/j3rnJ/FXkVL4q1a586W2Ncbqs/p/ra9vCUU6H708StVtXOy0r4jHzsXFbP/Cf2v/Hzb3NeSf6TU0Gq3MFbVcvoHL9brHt2leI7XVf+XmsbxVqtsf8ARq4jSvEdzB/y81Lca5/atclHCexrnV9b/cFr+1f7KmrUg8ceRXB6rqtUP7cuf+fn9K9H2Ptjk+t+xO8/tz/hI5pc1D/Ympf8+wqP4LfZtV1iW2r27/hDdO9Yq8vGVvq9XlOzB0frtL2h80wW/nzRV618JNKtof8AiZV43oeq/vsV7d8Hf9I03H/Teu7MNMOY5f8Avq56hpVwPJ+zVQ1yfyJoqinn/soxVxvirxxbed9m+018/Spe2Poatb2NA6jVfEZnh+zW/wD3/rktVn/1tVZ/FVtBDLm4/dVg/wDCVf2rXVSo10edVxZ0ek1vQfaf+fmsHQ7i29a7LQ4bb1rKsbUf3waVBc+dF9o/1Vd54N/4/PwrnIILb91j/thXW6H9mg8o/wDPavOrHrUdjqIJ/wDW/wCto8j99FRpWfJ/9J6i4gmrjOs+w/2XtKtv+FY2vP8Arq9R+x3HvXD/ALNkHkfDew/69/Nr0GftXZSpfuDjq1q/tzxb9qE20HgmW2/6eK+Wvs3tX0j+1RqtyNNitv8AntcV85z/ALjn91Xn/wDL89HX2BjTwfaKoQZgmzWzcXHkVgzz23nVoZG95/tVWefvVCfVf3NY0+ue9dBj7Uvzz1FPqltWP/btVf7dtqXsjL2p1mla5bQVL/blt50VzXEf25bZ/wBHon1ytfYi+tnrXgfxVbQalFcV2X/Cf/6rA/CvmkeOP7KmxV+D4t/9PNY/VDaljKNI9p8VeOLbVdY0bw3b6lDafbL/AP0ief8A5Yw1wfxG8R61+178R9L+CngDRJdP+HWjwTXera5P+6+2f89p/wD0T/6JqLwPPqWuQ6z4k+zWkVrNbwxQarPP/qZv9T/5Bhmmmr0HVfHHwu+KkMWifCbw3d6tpeg6RDaWFjB+5/tLyf8Ant/0x/c+d/22p0f3AVbVz5u+Lfh3w3441jS/gV8NvBMs1rZ3ENpYef8A66aGz/fTTf8AXH/XV5Lolv4A8Kzaz4t0fUvKis7f7X4Z8+3837ZNDN++hm/7/V9N/FTVdb+Fc3iPW7jTYYdU17yYvt0EHnTQw/Ypppv+/wBNXkHws+EmifEb9l22FvqdpaeI9B17+0IPPt/3P2OaH99D/wCia+hwmL/2c8PF4P8Af/uirB4VttV1j/hJPhP4ku4oodJhu9BvoJ/sk0Pnf8uU3/TH/lj/ANsaq+I/2Zbnw3Lpfizxh4th83UoIZbiCCDzv9Cm/wCW0P8A6JrrfgTPpvw5/Zd17+2PFsUOszaRDdWFj5H+us5pv/R0M3k1y/xG+MWif8K30bw34P8AJu7+z/e3E8H/ACxs5v8AXWX/AFx/11Dq161f2dIyq0qFGh+9OT/aF/Ze1rwB5X9j+LItQsPP8q3sZ/3U0P8Ay2/c/wDPevAdVt7mCaW2uD/3/r1/4t/Hfxr4qsrXwTrHiSXUbXR7fybCef8AfedD/wA8f+2P7n/vzXl+qTi+muv7Quf3vkebBPX0OX+3o0f3p8xmHsK1f90ZVFL5K0lescJbguLmCaK5t/3V1DcebBX1z4c+Kn/CR+FtL8R/8/kHm3FfHcPT8K9g+FXiO5g8BxWo/wCWNxNFXh5tR9tQ9oerlNX2Nc/Q79mzXbnVdNiNe0/6T5P/AG7V4F+yT9p/4Ru11L/phX0YPs3kxefX5xW/jH6jR/3c8M/aTnuLfR5ftH+qr5Ln8R20GpS8f8vFfV/7UP8AyJ91/wA8vIr4F1zxV5GpS/8ALb/SK9bKaXtqJ89m1b2Nc9Lg1yuj8K+JLbzq8bg8V+g/7YVa0rxx5HP2mvVq5fXPKpYux7dPrltWXquuW1eff8J/+4+zfaay5/HFZUsvrnVVzE6jVtc8/Upa1IJ680g8R/vvtP5V1GleI/QVtVo+xOWjW9sdlPqvkWdcvrmq3P8AkVJ/bg9RWZ4j1XyKxwlI6qtU5fxHPczzc1zlzWzq09YM3WX619BRpHiVdyKotU/pUsHeiftWxyFD+1fI6VF/wkX+1UWqfac/jWN/pNa+yRy1arL9xqtzP/hUXn+1RQQXP/PtUvkXP/Pv+lWL9+ejfAHVfI8VfZ/+e1fS3kW3/Pv+lfKvwVOpQeJIq+kf7b1H/n1/WvmMzo3xB9JllW2HPjzQ9V/4mUVe0/CvxGYIeK8H0r9xNmvVfhz/AKmKvazCj+4PGy+t7Guel654juPJ+0/aa808V65/xM/+PmtnxHrnn/6Nb15z4j1W5/tKWuTCYT2J6OLrF/VdcuZ4Ps32mjStVuay7f7TUlehZHne2PQvCviPyJq9G0PxTbf8/NfPsGq3UE1dbofiq5/5+Za8+thPbHrYTFqie5weI7af/l5ro9K1yvDND8VeRNXeaH4r/wBUBXh1qPsT1qOL9sev6Vrlz2qWDVfPmi/6+K4ODxx+55q1ofirz9Yitc/8vFef7E9CjWP02+C37jwHpZ/6d662f/VD61yfwI/5EOw/6967Gee28mtaX8AzqfxkfNP7Xs/2ea1rwLVdVr2n9uCf99YW1uK+bp9cua8/2R6tWtoWtV1Wsaef99zRPPqU9ReRqU/W2rb2RyVavtiLVdV72/8A1yrB1XVfIren0PUv+fauc1zRNS/59q6qXsDKqtDL1XxH5FZc/irHm1FceFNbn5+zVVn8D+JP+fauul7A8+1ctf8ACWXPpUU/iq5n5+01D/wgHiT2/Kl/4VX4knp/7OY/7QZeq+I/9MxcXNZc/iO5ro/+FO63P/z18qqv/CiNbnm/5bV1UquHOSrRxFzo5/H+owfs3y6boH2vzby4miv/APtj/wDbpoaq/Bb47/8ACD+G4tS0+5mtIob/AP0jz/8Alt/9prL8VaHqXgDwrFbaxpvnWF550Vx/yx/11eVarqtrcaxL9n86XS7ODzf+eX+f33/omnRwlCvRqhVxdehXPvXQ/Dg/aa02/wDH+oalaXcs2keVq0E9x5U0P7jzv/IMMMP/AH+rjYPEeifDn9m/S7bw/renw694wsIZZ4Ps/wDqYYf+WP8A22h/9HV4Pof7Qtz4V/tTRNG8n7feX/lefBceV5P+f9TRquq6lqs1hqWn23k/Y/3X7iuP+z69D+Ieh/aFCt/CMb4tz+LdK02w0O4trSL/AF0U8E//ACx/+0+T/wCjq8gn1258mX7P5v8Ax8V6r8YtD1IzfZtQuf8AXeTF59Y3hz4O634q02XWzps0stnceVfwfZ69zB1qFGh+9Pn8XSxFav8Auzzmee21WG1uftP+lTf6+jxJ4H1LS5ov+eV5b+bBV/xT8P8Axb4A1P8As3UNNmi8m4823nrYuPGVte+HEgltBJd2s25FaHCoPUk8D8a9D2y/5dnnKi7/AL3c4n+w9Sg83Tbi2/e/62CsueC5gm+zXJru9P8A7X8c3S2Wh2rXNzbwZWS3tyxVR1GVGCfoSB+Weni+BGtapoc1xrFuJETbGp64B6/QA1f1ynR/i1BPAVqv8M8Yr3PwP4c1Kf4J6Nrmn23nRfb5orj/AKY/5/fV5J408Maj4M8QyaPenIiH+jnNfbH7D/wrt/EnwTl0391LF9nhu/8Arj51c2bYtUcP7SmdmU4WvVxHsj2T9l6fUtK8K2GmfZv+WFe3f21d/wDTWsb4O/CQ6FpsQubb/rhWN+0Z+1R8Cv2ZYpbbxhqUuo6zD+6/sPSv3s0P/Xb/AJ4V+c2xGNr/ALo/R1VoUKH70oftC29zrngS6+z+T5s1v/z3r4An+C3jbVdYl/4ls3lfaPKnnnt/9TXoXxb/AOCnXizx/LLonh7wDaaTpc3/AC3vv33k10WufFu2PwB+06f4tu/EP9pX80X27Q9I+yf9/oZ6+hwlDHYKjqfPYzF4LM6/7r/l0eQQfCS5/e21vrfnS/8ATD97UU3wj8S29efT/wBp6r4kluvB9zdw3UP72fyJ/wB7DXo3wk+P3i3wt5Wm/EC2m1aw/wCW/wDo/mzQ17dWliPYfuz5+lVoVsR7OoRQfCTxb/01q1B8JNb/AOmtfWnwr8D+Cfip4bi8W+D9Siu7Wb/nh/yxrqP+FBf9O1eHWzWvF+yPoKOS0Ky9qfFsHwW1L/ptXR6V8JNSg/5dq+tIPgD/ANO1SwfAj/p2rk/tWvWOujlPsT5a/wCFV6pR/wAKruZ/+Pi2r6qn+C1z/wA+3/XCj/hSw/59x+VZLNrG39lHyNP8FrmfpbVVn+BFz3tq+w/+FO/63/Rqi/4U3/071r/a1cX9lUD48/4URc5l/wBGo/4UsP8An3H5V9c3Hwd/6dqq/wDCm/8Ap3o/taucv9kUD5G1X4Ef9O1YM/wBuP8An2r7Sn+En/TtVWb4SW3/AD7f6mtqWbVzGrklA+QYPgt621Wv+FLD/n3H5V9Yf8Kz/wCnYVUn+Ff/AE61r/a1c1WUUD54+HPwr/srxJF/o1e2/wDCuNS/59hW1pXw4+z6lF/o3/Lf9/Xr3/CD6b6TflXkY3MK/tTqp5dQsfkxB4A1L/n1rvPA/hXxJBDFXvEHwW03p9mrqND+Elt5P/HtX0VbO/bngUck9jXPnj/hANbn/wCXasHVfg7rk+pS/wCjV9ff8Kztf+faj/hUlt53/INrKlnfsTrq5J7Y+UIPgtqXT7NUn/CltR/595vyr660r4SW3e2rUg+Dtt/z7f8AkCsv7brGv9iUD43g+BGped/x61vaV8CNS7V9c2/wd/6hv/kvWpB8He/9m1jVzuubUskoHyXpPwI1Lzv+PaWut0P4O6lB/wAu1fUGlfB399Fi2rU0r4O+ltXnVc2r1jrpZVQonznB8Mrr/n2q/wCHPhXdHxJYf6N/y3r6bg+Dv/TtV/Q/g7jUoh9m/wCW9ZLF1zrpZfQR778ObDyPCthbW4/dQ29amqf1q14V0ryNHi/64UarBbeTLXoey/cHnVav+0Hy/wDtbaVc65qVqf8AnjXkEHwkurj/AEn7N/rq+lvi34VGueJIqtaX8K7aeGL/AEavF9q7nt+yw9j540r4O3P7r/Rq1NK+BFz3tq+kYPh/bQf8u1X4PA9tn/j2rT/aA/2eifN3/CiPP83/AEaqGq/s9ef/AMutfU3/AAidr/z7D8qkg8D22P8Aj2p+xrmXtaB8jT/s2XJ/5dv/ACBVX/hnK5/59f8AyXr7E/4V/a/8+ppv/CD23/PtWvssSL2uHPkyD9mX/p2q/B+zL6ab/wCQK+r4PA9tn/j2qX/hB7b/AJ9qPZYky9rhz5V/4Zl/6dqtQfsy23/PtX1X/wAINbf8+5/WpP8AhB/ml/0amsJiR/WsAfIPxU/Yt034jfDfVPDdxpv+lTQebYTwfufJmr8q/HHhzxJ4H8Sap4S8Qadd2l/Z3H2SeCf915Nf0OQeFbY18v8A/BVD/gnBbftNfBO6+Ovwv8NyzeN/BOk/6fY2Nv8A8hjTP/j0P77/AL819BlPt6Nf2VU+dztUK372kfjpoelal4j16K2t/wB9LeXH+j+f/wAtq+r/AAL4N8PfD7wNpXjv4gvENE1G5WK6df31xDJEQCQK8b/ZJ+HNz4/+MGjfC7/VXV5cf6+v2P8Ajx/wTW+Fnhv4H6R4s8a2328DSkluEmj8tM4+9JjGfpXZmtVuv7NHHlcMNh0m3+8PgHXviD+w+3gJ4rnWdUuL2z81ILex0F9lyhx8m4Dg/wCr5PHy9ea5D9nD4l+Ctf8AivqGkWa3aWGuOnmR3+neWWlT7nIJGSeMV6h8Tv2g/E2vfFLVPgv+yD8MNBhtNMtFXUjsRDcxqQoRHwzyty+Co4X5j031m6Z8Kr3wHqul+JfFGs6XE02qMWsbK3nhvEiVWaN3QM6RsxUgNuK8rtLZFclTA4hYH2saaS9T04Y3B/XfZuom+vuu33nqHij9mDwb8TvDklq9osLyReULsRDOR2r5p+Kn7OnwV+DGmW9hdeD9R8Qare6nHp0CRrJLEZn2Ko8uNeWZmAAwcnPOAcffXwwsdX8b+Ar+7ubQpcRwNLESuC3GQxAAAJweBgc8AdK+cfHnwR8ReNPGq6xbzeVLbS7/ADWJSSJypBaNxyrEFlJBBKsynhiD5GHxlWFRe3m7Ho4zBUasHOjTXtO/Q8H+E8fxF1rxZqHhk3vhf4XwaVpkrT2d9ZC7u72cIrbHt7WeIptXzWx5kjZQfJzXaeGLfxR4j8NCTxzo2mw38oYziznuJYGJck+X5+XC4PAJ4xjjGB7/AOAv2ZNOigSXWXTgZdVQDf0HIHHao/Hvwxh0dZ3hsY1ijT5cIB0H/wBYV04vM8NWtGjStbrfU48JlmIo3lWq3+Wh8E/tZfCk6jpEXiDTrIvcWVx5UohBlwP8OlfoF/wTM/ZJ8SeB/gpa+P8Ax/p13p1/r2kwxW+lTweT5MEP/Lb/ALbV886H8V/CHww+Oei6n4whiOm2OqRXOoZtvN/dQHzTx+FfYf7W/wDwUl+Bfhv9ku/+Nf7PHxH0/wAQ3+vT/wBn6DbwT+TNDN/02hn/ANR5NdVb6xjaFKlbQ4aDoYLGVKp4h/wUe/b9tfgOZf2ePgBqUP8AwlHkeVr2uQf8wf8A64/9Nv8A0TXw18FvDtt8YvFV14BOp+drOvW/+jz31x/x+al/12n/AOW03+p/7bV5nrniPUtd1K61vUNSlu7q8uPNuL6ef/XV1Hwe0u21zxVYabcH9758P2f/AEjyfJr2aWX0cFh/3Z5lXNa2Z4iweKvCupQQxaJp+o2nmzX/ANkuIPs/k19m/Hf9nrUv2Zf2S4vAGn+G5dW1m88mb+3NK879z50PnTed/wCQYa8q1yyt/HHxgi8R/ZootZE8P9vWMFv5sN5ND/y+/wDXavvr/go/8OfEnhv4S6XqXh+5u5dL17w1pktxBY/vq8rF4uvVdI9XCYSjRVU/HAaprmifb7afTJopbyw+y28At/K/czf/AB7/AFNZWh6r5Hlf6TLD/wBcK2fH+h+JNK8SS/aLaWH/AEjzf389c5BPz/pNfV0f939ofH1vb0cQeyfAj4/eP/gt4qi1vR7n7XYTXH+n2M8/7mav1e/Ze+KngD9qHwH/AMJtoH+th/dX9jP/AK6H/rtX48+ANK024/0n+0ppov8AVV7x+yF+0pqX7L3xatfFun3M0ujXn7rXrGD/AJbQ/wDx6H/XV8zmuX0K372l/FPpspzHEUf3dX+Efqz/AMIBbf8APv8ArVH/AIV/a/8APqa7HQ9d0TxV4csPFvh/UobvS9St/tdhfQfvfOhmongr5irRaPsaOLVY4j/hB7b/AJ9qin8D6b5P/HtXZf8Ataop4O1cnsjb2rOD/wCEXtvT9ai/4RW2/e11s8Haqv8Ay1qjU5f/AIQe2/yaqz+B9N/59q7L7Pa+h/Kqs8Ft+9oA4ifwrbf9MaoT+HLX/pjXbzwW3/Lz2qrPBQBwc+haaP8Al2rG1XQ7btXb65B5H/LtWDfY/wCXigzOX8i286L/AEb/AJeK7z7db/8APrXLz/ZoOfs1bH+lf8+5/OgcPhPNdK+HP76XNt+6ro9J+HNt/wA+1dbBpVsJv+PatnStK7/Zqn2pfsTjYPhzbf8APtWzB8MrY+V/o1d5pWlW37qr8GlW1UZnn0Hwrts/8e1b0Hw5tv8An2rrfItv+ff9KvwQW1BoclB4AtYDF/o1X4PA9tn/AI9q6iCC29atQQW1T7LzMqtUwYPA+m/8+0VX4PC1t/z7VswQW3rUvkW3rW3sTGrWMaDw5bCr+laHbQeV/o9bXkW/94VJbV10aOpx1cXXsbPkf8S3/Rv9V9nrL1WC5rqIPs39mxf9cKwdVntv3terVpaHi0qt65xGuaVbT6lEK6PS9DtvKiFZc/8AyER9a6PSf9VXk0qP789arVfsCL+y7b3qWDSqtf6NTq9b2SPN9tXIP7L+tSwaVU3nH3qT7Ra+p/On7JGfta5H/Z5/59hSeSP+fYVL9otfU/nR9otfU/nSMdSX+y/rV/8Asn2/SooNWq19ut/auuj7DqY1fbkX9k+36Uf2T7fpUv2639qqz6tR+4BfWC15K1f0PXLnw5qX9pW//LaDyp4P+e0Nc5/bg9RUX9u01W1B0a9ZHxj8dv8AgnXafs2/8FL/AIYfF/4HadLd+CfiPqw1GxHkc2epH/j70z/rt5P778K/YvxJ8BfCnxs0q28Fa/ZQXWgwQB7tGYqk0H90YI6ivjjXJl8R+HB4TudRu4rYX8OoW5gn8rybyH/UzQ/88Jof+e1fU/7NfxP1TWfASRT6nNLc2luLW+uJTjzXA4Y/9dMZr0MurUK2IqU6h5GZYevDD050/wDl2eCfttfsLeG/Euh2el+BtH0LR9OtebWwsrHyY7bHTa8RErSHru3Yzz1r5gsf2OdM8KX6x+ItM+3zW8X7mKIl1X3I+8T7kknua+3v2g/jJ4d060ltor5ZbwKQmXyq4/n+FfHvjv49eIItUnsvD0oFxdsDcSJ94EdMenFeJm/1OjV9nCZ9Dks8dVpXqQPUvgB8GYdQ1V9PvtF8i3kgaPygmzYeoz+fQ+tfNv7Q3gib4QfEy/sLmLNrHdOFfGAQD/8Aqr9Cv2PvF/wZn+CFtq2v6nK/iW1jf+07dnZ5ZmZs7kQDc4O4fdB54zXyz/wUk0rwofiDPrXhm285IsTC3lbIjkYAsGx0AOTg4PGKxx2Do08thVi7s3y/GYueZ1KUlaPQ+btM+L+mW80lnsTfGcdCOPxrk/jN8WIbrQp5bfCqi/MyHI+lcd4j1XUb9rjXb+Jbd5R9+FdsbckYUHPGQec81zMt2bzwXqV1dypJbmJvnj5B9x715eHw15XPZr1eWLR8mftC+MtSFze6t9ol82WfyoD714vB9ph02K2P+tvP3txXffGDVtN8SeJZNLuj+7hWWX9K4a3/AOJtrEuP9VX6Nl9JUqFz87zCq6texf8ADmh3OqzRfZ/+288/7qvuv9hf9ibwl4j8Ky/FH/hZEMWvf8uGhwfvfJh/57eT/wDHq+Wvgf8ACvW/H+vWuiad53+mXHlQeRX9Dn/BFz9grwB8M/gxa634x8OWl3L9o839/b/66b/2vXnY/wBvjK/1WlVOrCOhltD61VpHwL8K/wBh/wAW6V48i1vw/pvkxQz/AOkX19501fWnxA+C1t8Vfg/F8LvEH2vyvtH/ACwuPJr9O/FXgDwB/Zkv2fw3af8AbCCvEfFXhXwTpXm21vokUUtY/wCr7o/xapquJlX/AIVI/GX4qf8ABKjwlP5tt/YcP2ryP9fB+6r5G+P3/BP3W/g6ZbrT9Nu5bD/W+RP++r94PiN4U8NwTXX+p/56188fEb4c6b44hl024/e2s1eLVrY7La/8XQ9ylRwWc0P4R+IXhwW2hzS6bcW3k/8AbvW9P9mg/wCJ3p/my/8ALKfz/wB7X19+1t/wT8/1viTwdpn/AE18iC3r481XSrnwrqUuh6hbXf8A03gnr1cJiqGNftKe55NXCV8F+7qH3h/wRp/aoudV03VP2XPGGp/8gGeaXQfPuP8Alj/9pr7rua/CT4A/FTUvgt+0tpfj/R7mb/Q7/wA2fyP+W0NfuF4V8Vab4q8N2viTT7nzory3823nryc2o+xr3Pcymr7agX6q3NE8/eqE89eAfQUqRFN9m86nU2efvUU8/kUGxL/qKq/aLX1P51Vn1XyOlUJ9WoAl8j/Wiquq/wCj9al/tUeT9p4rL1XVaAMvxHPisGefn/Rqta5qv+tNY0E3+t4oALmtn/R/b/vxWD5/+tq//pP/AExrnA3hB5Gp1vQ/Zv8Al3/1Vcv/AGr++61f/tu2/wCXf/W10Adlpf8AWr/2i19T+dclB4j/AHMVSweIzPNQB1vnLUsGq23/AD81xE+ufvqlg8RUAd5BPbVL5y1xsGuGfyhWpBq1AexOtgntqtfafesHSp6tf2t7fpXTSqnJVomp9p96vwT/AL6Kuc/tb2/SiDXP30VOjW1MnhND0HVZ/wDiW1zk89S/2r+5rnNc1XyPNrqxVbQ5MLhNSWfVbbzq6ODVf3P+NeVDXPP1j7N9prstK1UGH/j5FclLFfvz0KtH21A6j+1PpR/an0rnP7dtv+Pb7VUR1z/p5/1Na/XDz1lzOo/tT6Uf2p9K5j+3P+nn9KT+1PpR9bNf7POj/tb2/Sj+1vb9K5z+1PpUX2n3o+th9TOo/tv/ADipv7drkftPvR/a1z6/rR9crh/Z9A67/hIz71Dca5/081znn3H901Ln/p1/Wj65iA+qUKJs/wBuD1FVv7dqh9nuvQflUvk3XvT9rXD2NAvf2t7/AK1peGv2l/CnwK8RRaL401z7HZ+Lj9glbz/9Qf8An9/7Y1yniOfUtD0e61u30S71GWz/AOXGx/fV8v8AxU8R638RviRpet6hpuoWlrZ2Hmz6V9o/cw0qWKr0q5lVwtCtR9mfRfxn1TxNdXj2a6ik91HMUnurOfzIriP+G6iPeKTqDXjfiKSbwjqv9qancbFJy05HQetfOGsft3eL/wBmL4iReHfiBqsPiTw80+Lmzsf+YP8A9cu//bGb/tjX1S8/gn9ov4WWHizwFqyalo+qwl7a+tGDCRT1Uejr0ZTyKyq4TENe1qdTrpV6CXsqZoaB+0R8MnsYrHT/AIhK96YmYfZi2VAxn5umenGa4Px9c+K/ipLd+IbWa/vlgiDyX0jEWsUfzbd8rYjX+LqQAe4rR8L/ALJnhm3VZp/CtlcPFzGJ1yQOzKw5Rh6/y4xn/ED4VaN/aEV5c+E9SurrlJJbyfzSmOwOc7fYk1E5e6oTloWqaXvQjqj50+P0dzrDr4G8NeI4NQfBiv30yXdDbgjBRZl4mY5B3KdoIwC3bH+I9jb/AAo+EN7plsrJ9pgHU8g4GSPT/wCvXuWj/CC8tNSk8SajZ4LOGjihX5F4xnoMn8B9K8K/4KFXY8NaA+msd0ksKoIweoP9ef1rtwVX2lenSpo83G0/Z4epVmfDl1Jc6zrGraoD/qoM8HisLSp/s+pS12Wl6IYfAk2p3J/fXtx1NdJpPh4+PfhhpnhrR/DNmbrSNdmlnv4R5Uw87/ljL/0x/wCW1feqr7FHwLpV6zPfP+CXuh3PiP4tWH2e2lmlhn83/rjX9PfwW0q28OfDfRrbT9N8mL7BDX48/wDBA/8AZCtoPglqnxJ1Dwl5us3mrfZLf/tjX7XaXb6l4V0aw0y202K7uobDyv38/lVllNH9/VqizarahSpGX441XUv7N4r5p+LfirUtKmlNxXT/ALT/AO158Ufg3BLceIPg5aa5a/8ALA6Vf+V/6Pr49n/a2ufi3rMv2nwBq2hyzf8ALC+/ff8Aoiss2zWhR/dG2SZJiKz9r/y7Ot8f+I7nVf8Al5rkvtFt6S/nWN448R6lpWjy6np9t9rlh/1EE9fNPjj4qW8+vRXP7QHxstPD2jQ/8uNjf/ZPO/8Aj9fBVq1fGYg/R8JSw+DoH1BrulaJ4qhl024MU3/PxB9o/wBTX5z/APBTv9l3/hXOpRfFHw/c/wCi6lceVcQV9h/Ag/sl+OPKufhP4k0+XWYbfzfPg1eb7Z/+5qL/AIKB+ANN8c/sr699otvOl0e4hu4K1wlWvQr+0MsXSVeh7M/HnxH4q8+bwv8AaNEtLS602w8qeeCDyftn77/lt/6Jr9bf+CcHxGufHP7Pdromof8AH/oNx9kn/wCm1fl1+2J4H/4Qfx7oPkW3k/bPDNnLPB/qq+yP+CUPxU8ieLw3cDyotY0H/wAnLP8A+PWc0P8A35r6HNv3+BpVT57JH7HH1aVQ+9dV/DyqqzwVauPs37r61Q+0+9fIH2aIpzbQcVQ/1/8Ao3/PH/j4q/OfP4rGnn8jyhQaEc3X8aqT/Zs1fqhqsH76WgCKefyP9GzUWq/uIc/9O9VtU/11Qzz/ALmgDG1Uef5v2gVgzweRNLXRz4x/12grB1yY29AEM3T8Kt+eP+fc1y+q65cwGKr/APbv/Xap9kHtjUFxcwTVan1XHm8/66s/8vNxWh5HncYqgJYJ7kf9sa1NJnrL8la1NK/1PFzQAvHt/wA9qktqln6RfWovPtvJ/cXNAGppPetnS+sX1rl9KnuB5ttW9D/qfwoA3ree2/dVanntoaxoJ/8Av7UvnLQBan1X/MFWtKn+0TRVgz/afO/CpdK+0+dF9o83/j4oW4HoP/LKL61zmufaf3tdHBP/AMS3/t3rl9VntvO/4+auqclI43Vf+JVrEXNdRoc/7muc8R/v9Si5/wCveut0PSv+JbFUHWT03/SavwaVbVL/AGT7/rU+yD2xVqSrfkj/AJ9hS+Sfej2Rl7Uh+ze1S/2X9KlggrUggrrpUTCrW9iZcGlVN9hHvW7BBVqCCuulhDgrYsxoNDq1BpVbX2G1964L40/tC/Df4LeVbaxc/wBoazeX8NpBpUFx/qfO/wCe3/PCGtfZUKLOT2tet/DOjng03SoZdS1C5itLWG3824nnn8nya+c/jv8Ate6bN9q+H/wP1L/T5tJmu/7c/wCe0MP/ADx/+PV4Z+0n+178SPH+pfadY1L+ztL03xL/AGfr2hwQf8ecM37nzv8Art/02rxHw7rlxoes6XbXGpedf+D/ABNNpVx58/8ArtMvP9TN/wB/pv8AyDT9l7bU19t7H+Kfa/7D/j/TdV/Zd/tK38SXd3ql5r2p/b557jzZvOm/fQ/+QYa5f4xT6Hrnxal+KOj6bLDa3mk+b/bl9P8AuYf+2P8Az2h/54/89q+WvhX+154t/Ze8N6p4bg8N2mo6ND40htNesZ7jyvJ/fQzQzf8AXbyfOhr279knxVc/te+PPG+i6P8Aa9Di0HXvNuNVn/ff2DZTf88f+e803/kH99NWNbB4j+L/AMugpYyhf2R4j+014AudcMXhvRtOmtL+8n/cWMEE13q+pTf9cYP/AGtXlv7IX7Vf7Qn/AATi+LMi694Q1GfwvdX/AJXiTwf4igmhiuvWaH/nhNF3m6HvX6e+MfAHhL4c+Cbrwl8J/DcOkyzW/mwX3+ummvIf+fyb/XXvnf8AbGGvzi/b18HeJNWi1TxJ/YksUV5cebcWP/PnND/rq9HKsXQf7mqefmmFa/2pH7lfsseK/wBmD9qT4d6X8T/A1zby6PrcP+iySzeU4k/itiO0sfeIc1qePP2a/h14UsJtX1fxQ1zJHbsxjkVVC+mQe1fg5/wTZ/bn+IH7L2sXXhK3ufteg6x/x/6Vff6mb/7dX2P45/bD+LPjiKV/D/iy7+zTf8e9lP8AvvJrXM3Rwz9mqQssVXEr2kqp7f8AEvxZ4U0iC4klNtDBBkvLgcV+W/7bvxfh+L3xJmt9Jbz9M0+48ozw/wDLX2r0n4t+OPi144hutN8YeJJfsv8Az4wfuvOrxv8A4VxqWq6lFptvbf6648quXKqdClX9rVOvMKlarQ9lSOS8R6V/ZXgnS9N/5a/62eu3/YY0K58ceKvGXgD+zYdRl1LSIZbex/6bQ1Q+O/hz/hHJrXTc/wCprnf2SfiBbfCv9qbw5qGs62dP0u81eHT9dn/542c37n/yD/rq+h/j4Kr7I+e/gY6l7U/oq/4IA6JbW/7N9/plzby+bpGvTRfv4P8AU+dX2r8fI/jBL4Iltvg7rPh7TdZmg8uC+8RCaWGI18hf8EvvEfgn4cftC/Er9nnw/wCLrPULqzsLLUL+xgn82azmh/czedX27qulHXNNltrj/VTf88K9DKU62V+zPns6fsc19ofjL+3p8Cf2mbjx3FqZ/wCCmPiHxBLZ3H/E+0KDSfskM3/XHyP9R/zx/wCW1UP2XvDnxR13xJLbeOLmWa1+3+VYTz/66aH/AOPV+kXxi+C3wBgmutS8b6JD5s3724n+0eT51ct+x54J+DXjb4tX1z4Q0a6urXQoPNH2iDzYYj/8er53FZVWr4/2VWqfWYTP6NDL/a0qR8/fH34La18LIJfDmr24ilvLf/R/+mNfFviP/gn54J8f+K7rUviP4bu9bi+3+bbzz3Hk+T/9pr9Y/wDgo/oem/2xpepXFtF/x718g6V440TQ/En9iahbSxed/wAe88//AC2rycwwjwWO9nSPcynGf2lgfa1aZwfgf9lf4XeG9YtfFv8AwgH/ABOYf+YrPP5s1db8adKtrj4J69pv2bzvOsPK8ivRvtGm6rD/AKOIa+b/APgqr8RtS+Dv7FHi3xJ4f1qbT9Ul+x2thewT+TNDNNNWdDCe3fsgrYvl/in5pf8ABULQtb0P446CdQ1KG7+2eGvtdv8A9/p63v2Cvippngf+y/tFzNFLZ+JoZbef/rt+5m/8gzV8y+Ovin4/+KesxeJPiT4su9bv7Owhtbe91WfzfJgh/wCWP/bGu7+DuqiDTZbj/nzuIZYK+srYT2OVeyqnydHMPbZr7Wmftx/attPDFdW5/wBdB5tvVXz/AGryr9kL4/ab8d/hLEftPk6zoNx/Z+vWP/PH/wDfV6h5H+tr89rUvYv2Z+j0avt6HtaRVnntv+/1Zc9wPO+zVqTwW3rWX5HMXP72mbEv2j9zUXn2373+dT024gtoKAKE8+Jq5zXJ7n6RVvT/ALj/AK61gz2/777T/wA9v3tAGXPqlzWXrn+p/wBIrZ1X9xDjFYOuZ/8AatBmclef8tai/tW49BRfdPxo/sO69DWgHZTz4mrZ0r/llWN/y2/GtmCCswNTSvs0/wDy6/6miCe2/wCPb7PRpP2aD/RsfvatQaVQaEU+q+d/y7VVgntp/NzVr+yv9bRBpNAEsE9tBW9BP+X/AKOqrb2Pp/y2q/pWk/6qgCW2q153/TvVrStK+n/HxWpBodtQBj8/8+oqSD/p4ro4ND/6dql/sn3/AFqfZB7Yq/2rdeT1rktc1X/yDXUa5b+TDzXn2uTiCaX/AK71RmtyWDVfP1L/AKa13uhfafKi+lee+FYPPm5r0zQv9VF9KDSrsXoO9Wvs3tRbVNXdRpHk1axHWd5+f+Pir9zVGbr+NZVTaj++JPP/ANaa1IJ6wftPvVrSp6KNUK1E6SHr+NWYJ/8Ap5rLgnq/BPbQQ/abkfuoYPNuK9ClWPJq0Ty/9qj9pO5+FemxfDbwPc+V4o1iwmlsL6f/AJc4f/j01fCnjjxVp3iO0l/tDUpZbXxtYQy/bp5/9TrMP/taauj+O/xV034t/EjVPG1xcy/8TK/83QdV+0eVNo80P+ph/wCuM3/tavEfH+uf2rPf3OoebafbLj/ifWPkeb9j1P8A5/Yf+mM3+f3MNFH99XNf4FAy/Ffj4+IvN1vWP+Yx/wASXxLBP/qYb3/ljN/22/czf9tq4TW/EV3Daf21fajNFf3lv/YGvefb/wCuvIf9TP8A9tv/AGtW7/bmm65N/wATjypv7St/7K16D7P/AKmb/ljN/wBtv/a3/LGuD+Lf9pf2PLc6h5X2qGf+z9e8ifzf30P+pm/7bV7tGlQt7I8OtV/ce1O8+IFxp3iPw34t1Gw/cxa74Z0zxBb/APTGb/U//Ga0P+Cc/wC01rX7OnxPi+I/jC583RvFOvQ6T40gnn/5YzQ/8fv/AGxm/ff9/q8u+HPxGtfFPhvS/CWofvpbOwvNPng/6Y/66H/0TVWa3/4R3xt4S0S/86K11LQYZrjyP+W032L9zXX7F+w9icn1te2pVT9wtc0PRJ9Nl1K3uftdrNb/AOj+RP8A66H/AD/y2/7818H/APBTT4geCfCtn9m1DUjNrM37q30qxt/O+2f9dv8AnhN/1286auD+AX/BSf4o+HP2e9L+BVx/yFNNsPKt/Efn/vodM/1P7n/ptD/6Jrwf44aqNdgutTuDd3ct5+9nvfP87zv+m/8A22/54w/9tpq8PCZV7HH/AL09vGZgq2B/dnmnhXVft2pS3On232TyZ/N8j/njX0t8HfH+peTFbXFzXyXoWt3PhXxXFqVx/wAes3+v/wCm0NfWnwk0rTr7TYtSt/8AltB5tvPXtZ3RoWPFySt+/O31X+09cmi/s/Tpru6m/dQQQV7x+wx+yv8A8JV8bP7S1i2imsNBsPtc/n/8tpv9T/8AHq43wB4c03Sof7S1D9zF9n8qDyLjyppq+w/2ZdKtvAHwf1Txt9ph+3+JL+aWDyP3Xkww/uf+/NfH+1PrFSVz4A/4KMeB/Ddj48iudPtrS0/cTfaIIP3NfFviP4c+JIPt/iT+zZZbDyIbv7dB+9/13/7mb/vzX2H+3Prn27Ude8ST3Mv7m38qD/tt/wDaf/R1H7L0PhvxV/wS7+Ml1q9t5uqabPDp8Hnwf6mH99ND/wCjpq+hymtWo0NT53MKVGtWqnqH/BsJ+0LdeFP+CnH9ieOfEd3dXXxC8M3mn/btVuPN868h/fQ/9tv3M0Nf0V+OPFVt4c0eW5uLn/UwV/IZ/wAE7vFepeB/23fhprnh/U5bS/h8aWX2C+g/5Yzef/7W/wBTX9ScHxj+H/7UPwNi8feD7qKaxvLeaK4ggP8Ax53kP+uh/wCu0NfTUq3sVVpnylbCe3dKqz5b/ah/aF/tWa6ube5lm/0jyrCD/ntSfss/tBfGL9l/wff23hDw3p+rf2vf/a5/7VPk+T/z2rzD9pr4OeLdL8220fxJLaapD/x4X32fzfJqr8JPDnxi/wCEJitvjBrWo6jf2dvN/wATXwr5Pkzf9sf+WFfCVsXiFjvar+Kfo1HCYF5V7L/l2el/tJ/teeNvi3rH9tah4SltPJg8q3sf9b5NeQTaVpvirR5dS+IGpWnmw2/+vnuPJ8mt7xHpXwT0Oa/+0al4n1bybCGW3g8ib/Xf/bq8l+LfwItv2mvEml3PjDwlDofgjQb+a7sPDkH+u1Kb/pt/1x/5415tWrXr1/a1ap24SlRoUPZUqR1Hwk+KmpT6xdeG9P1KHVtLs5/KgvoP33nV8wf8F4fjJBa/CDwv8JluiNQ17Xf7QuIR/wAsYLP/AO3Tf+Qa+pND0rwl8D/BN1qWofZNO0uzgmu55/8AUw2cNfjP+2t+09qX7Wf7Q2p/E6eSSPRoQLDw1ZS/8sbOIZx9Zc+d/wBtq9fh6jiMRiPa/wDLqmebxDVw9DD+y/5e1DyOD7TBN9mFejfCTVcfb9N/6d/Nt64OeH99Fmuj8Dz+RqUQx/roK+2rfv6B8HRvRrn0H+yf+1Qf2Zf2s4tS1i58nwv4qghtde/6Y/8ATb/tjNX6sQT22f8Aj5h8qb97bzwV+FPxiNtNrEX/AD1+wQ1+gH/BMX9vnw7438HaX+zz8WdZitNd0yD7JoV9PP8A8hKHtD/12hr5TO8q9vQ9rSR9jw9myo16uGqn2jPPbf8A2+uc1XVf33Nb2rVwfiqe5gm/49q+UtY+yWqOj0rVfP8A9JqWeeuX8K6pcz/8e5rqP7KuZ5Yj/wBtaAKv+kzmotV0Pz66PStKuYPK/wBGon0qgDznxHD5Fc5PB+6zcV2XiOD7R5tt/wCBFcvrmlXPf/VUGZyWqweRR5/tWzrmh3M8MVzVT+wrmtAND7bbed+lb2lTnzv+u1eX2+uXPnV1Gh+I7nzsVj7ImlVPQdK+zYi5/wBTXRwQW1cl4cn/AHMVzXZQQGeGqNiL7P58NEFh7f8AbCtSCAQeVUsGk0AUIIO1HEE1X54KqwQfvv8Aj2oA3tKnufOrZgg7VQ0PSv8AVCujg0qtKVI46tX2I6irHke9EEFdfsjl9qYOuQfua8+1zSv30or1DVoKwdV0r/p2rkq0jqo1fbHEaH+4m/7b+bXb6HPXOT6H5E1X9K/ccVmdh1sE9Wv9JrL0nvW9BBXTR/fHnVgngrG1T+ldH9m9qxtWgrWtSMsHV1MGefE1X9KnqhPB/rataX/WvPo7nq1tjZ0nvXg/7aX7Xum/CTzfhLp9tDNdalBNDf332j/U/ufO/c/9Nv8AU/8Af6voLSoK/OL/AIKd6FdaH+1pLc/aYZvtnky+RPP/AKnzrLyf/aNe1Rpe2R8/Vq+xOX8+5n02LTdR8nzZoPslxB/yxvPJh87yP+u0MNcb4q/4mujxW1v5s119nmtLf/p8h/54/wDXaH/P7nzoata5Pbarptrc6P8AuZbyCG0sP3H+p+2TedNN/wBsYYYf+e1YMGuW2uQ3WiahbQwxTX83karBcf8APH/ltDXbhKSTOStVujyoeI9N0nUpT9p83zrf7JcTz/vfOh/+0/8Akb/rjW9PPpvirzbm4tobv+0oP7PuIIP3vnTQ/wCpm/7bVxHxi0PUoNY+1W9rDFf2dv8Av5/tH7mb/pt/n/0TWX4c8b20+jxW1xqX+lf6r9/+98mvoPYqrR9rSPnnW9jX9lVONM+peB/FX2m3/dXWm3Feoa5P/wALG/4RfUtHtofNs9Bmigg8/wA3yfJrnPi34c/tzxL/AGlo9r5NreWHmwQf9ca5z4ZeNz4O8VWv2gf6B5/7/wD9E16NvbUPaUzz6b9jX9melwDUr7w34c8WaPqUsUtnoM3kQQT+V5PkzedV/VdV0TxJDLqWj20MVhNP5X2H/W/Y/wD7T/5BhqL4cwHSv9GubqX7LqWvXmn28/779z53/wAerz/Vjrnws1jS/Eth5U0U0HlXEE/+pm8mfyfJm/78159Kl7avqddWt7GgZ/jjQwDLc/uvN/6+PN/zDXsn7F3ji2n8zw5rNzFFLp08P2eD/nt/+5rz7XNV0Xxvo/8AaWj+d9l/5b2P+umh/wA/89qxvhzrlz4A8eaX4k/5ZWdx5s8H+q86tcXRVbDukY4Sr7Gv7Wkfo74A1bUvHHimLRLe282X7R5Vv5H/ACxr7X+LcFt8OfAcvhK3uf3ug6RDp9v/ANNpq+X/APgnNBpvj/4kReNjpsU1rpsH9oef/wCif/j3/fmvozXPs3iPWM6hc+VYabPNd6vfT/6mvz6snRfsj9Bwb9svan5sft66VdaVrGl/De3HnazNP9rv/I/57Tf6mH/tjDXZeFfA9z8Fv+CWvijxJqI/5HbV/wDR/wDtjN5P/tGt7w74V074tfGDxR+1VqFtNL4X0G4vbvQZ54P+PyaH/lt/22m8n/vzWz/wVQGm/B39kTwR8CvtP+n2ekQy38H+p/ffvvO/8jTTV7eEqurRpUjycXR9jWq1T83vCnxB1z4b+JNH+I/h65MOqaRrsN/YzeR5v76Gv1Y/Ym/4Ku6b4A1KX4teB/AGoafa+PL+G08aaH5/nadDqf8Az28n/lhNN+5/fV+S/wBhNxpsVz9pi/0O48mevub9mXw58L/A37B/jzXPGNtFL/aVvNFbzwf8sZof/t3k17ebfuY0vZfxDxcp9vWlVpVf4R+3vwk1X4A/tewy/wBn3PlazZ2/m3+hz3H76z/+Pw/9Nq7fxV+xZ8N/+Eb+zW+pXcN1/wAsJ55/O8mvxC0T48XHw6+HPw08Xad8Ytb8JeO9Bgh+z+MILjzvJ86GGbyLyH/lvDN/zx/6Y19X+AP+Dhu3g8N2Hhv4oXVpreswwebcX2lWH2Tzv+2M9cuFxOHrUf3tL96a4rA4ijX/ANlq/uj3j4qfsreNvCmpfadQuZprX/lh5Fx51c5PpXkWcVt9p/1MFeGfEb/gu58Ctc83WrjUtb83/VeRBoM0tfGX7Xv/AAWB8W/EzwtdeCfhBpl34Z0vUj5Vxrk/7q7mh/6Y/wDPCvJq5T7ev/s9I9WjmtehQ9riKpa/4K5ftz6b4pml/ZV+E+t+bawz/wDFWX0Fx/rv+nKvgXwrpX9q6lz/AMsaP7c0SD/iZQabL9v/ANbB58/nQ1a8AfuPNua+xwmEo4PD+ypnymLxdbMq/taha1zSfI1iK2/6d6NK/caxL/0xnqWfVbbXPEn2kH91Z29RQT239pS3X/LW8n83/rj/AM8a3Mv3AfEbVjP4qlP/ADx/dVg6TqtzBNFc29zLFLD+9t54P+WNS65qv27UrrUv+Ws1x+4qp/ov/Pqa0pUl7D2ZyVa1q/tUfof/AME/P+CnY1b7L8HP2l/Ef/TLQfFU/wDyx/6Yzf8Ax6vsPxxofn6lF5B82KaD/R54P3vnV+HEGq20HP2b97/0w/5bV9r/APBO7/goxbeANS0v4J/HDW5ZvC80/wDxKb6+/e/2PN/8Zr5POskv+9pH2OScQf8ALqqfod4V8D3OlQxXNxXRwaV+5rZ0qC2nhi+z3MM0U372CeD9751X4NK/5+K+N9jZn2yrqxQg0OquqwW0BrUuJ7mCuc8Rzn/j5qh0TB/sO3877TcUT+HNN/6ZVag1Xz5vstRat9p7ed+5oA4PxxpVtBN9mt/+fisv7Nc/8+n611HiP7NP5X/Tasv+xLb1/wDJiucDxGD7T/x7ZrsvA+lGf/j4rG8OaHcz6xxa/wDLvXpfhTwrcmH/AI9v9dXXVOSjSNnwrpXau30qD/VW3/LKquh+FbkeV9prstK0P9zFUG5V8i28mq32e69B+VbsGh3NE9jc1Psq4lVoGX9m9qINKtqlngufOqWCCq1NLqxqaVB/qsVvQQdqq6VpVz5PFbMEFzXqYSkfP4usVvJPvR5J96veRc+tHkXP72uv2LOT2xjTwVjarpXtXW/2X9aqz6Hc1lVonXRxfsTiJ9DqKCDz+lt+NdHPpP8Aqv8ARqNK0P1rzvqlf25631uh7Aq6HpXtXR6VB/y7Va0rw5c/8+1b0HhzyK9ajhDw62YKsY39lfZ+Ky9c0rvXWf2Fc1ma5oVzWtXCfuDlwmL/AH55zqsHkVLocNz61qa5pXnzdKv6H4cuf+fWvEpYSu659BVxlD2Fy1oelV+e3/BZfSrbQ/jZoPiS3/1vkaZ9o/cf9Npoa/THStDuf3X+jV+af/BduC40P4teF7n7NN5U2kaZLP8A8sv+X2avoaOE9i6R8zVxftvaHz74V1y2/wCFYy+JD5Pm6PYTf8t/9TNND5Ncb44JuNYurmAxRWvgrQYbSwsYP3X+meT/AOif/j1S/DnVPI03VNEBi8q8t7z7R58H/PG986vEfiL4q8XeFfiRrNt9pm8q8v8Azbj/AKbV2YTC+2r1THFYv2NCkejeOJ7bxHDFpuseVaX80EM1xB5/neT53/LH/rjN/wDGYa8H8R29zomsS232byvJn/66/wCYa9Bt/Eem6t9q8WAS3d1eXENpBBB/n/ltWX8RtKudc8rUsebdfZ/N8/8A57f/AG6vWwn7it7I8TF/v37Ul8D+JLbxVpul6bf/ALm/0e/h8iCD9150M37mauI8R6Vc6HrF1pv/ADxn8qotK1XUtD1KLU7f/Ww3Hm12/wAYoNN1TWbXW7AfutSsPN/4+PNrqf7iscn8aiX/AArrn/CR/DLWdENzL9vs54bu38if/P8Azxhre1zw5c6r8N/s2oW373TbiHUPPn/c+dDN/mapf2WP2bP2iPi342sLn4T/AAc8Q+IbW8n/ALPnn0rSJpfO879zX71/8ExP+DdP4YfCDTPDnxk/bo0PT/E3izTYP9A8ID99ptl/134/02X/AKZf6nn/AJbda5fZV61f90dTrUKFD96fnL/wS3/4N1/j/wDtiXo+Mfxg8R3nw++GhP8AoF/BYfa7vXf+vOH/AJ4/9Npv/I1foJ4X/wCDYn/gmx4V8RG48a3XxS8VmYeaLK/vobWGX/vxDX60C302ws4re3t/KjhH7iGCD/U1heKvFWm6HpsuLn97/wBMK9VUrfxT5/63Xv8Auj5j8C/sV/sY/s9fCW68J/CD9mi00mL7P9kgE9vNd3f/AJHr4B/ah+BH7SGueG5fgV4H+G/iG0tdev5ote8RwWE3k/Yv/t3+pr6v+P8A8afjrY+NrrW7e2u9J0v7R/o8H+u86uIn/bntdD+wf8JB4k+139n/AMfHn3Hkw18dmywNfEf8+z7zKKeaYfD+1v7X2h8+/Bb9mzW/+EksLnxB4A1bw98PvAdh9r/4mthNF9smh/6Y/wDPH/lt5P8Az2r80/8Agox+01/wv/45az4k+zXf9lw3/lW9jP8AufO8mv13+I37c/8Awn+jy6b/AG3FN/0/WNxN+5rxv4jfFv4J+ONNi/4WB4J8EeMZYbfyv+Kj0GGWaavOpVKODrnq1cNWxlD94fijPAP7NitR5Pmw/wDHx5FfSPwI8cW3xG8CeHP2b/EFzLDYax48h+0eRP8A66Hyf/j0MNfcOq/sd/8ABNb9pvxJqn2n4XWnwyihsIZbC+8HXE0XnTf9cZ/3NfNXhT/gmZ4tm+LU1t8J/j94T1H/AIRDxL5sE8883nTeT/z2r162YYetRPLwmX46jX/dmn+0nofhIeGr/wAJW5tIftniWGK3/wBI/wCeMP8A8Zmr5a/aT8OW/gD4nf2Jp5/dTWEMsFfoJ8W/2GPH/j/xXa+JNP8AiRodp5PnS39jPbzS+dNN/wDua8b+MX/BKH46/EbxtLrej/Ejwnd+dbw2kHnzzQ/+0a87L8fQov8Ae1T0MwwFesv3dM+KNW8R6lBN9mguZoYvIrjdV1XUtVmlubi587/SK+lvFXwW0TwPDf23jDTobvVIf9FuPIg87yfJ/c/+jq8C0PwP/wAJV42l0S3uodO/5a/v7fzfJr6zCVaFb96fHYulXo/ujnJ+1WtKnuT5VtB/y2nrsp/gRcwc/wDCW2n/AE8f9Mf/ACNV/Q/gRbHTZbq41v7XdQ3HleRpX73yf+21df1rDmX1TEHETz/2V5ttb/62b/yDVWee5gh+zf8APb/Xz1var4A1KDU5ba3uf3sP/HvB/ralg8AalBpv9t6xqVpp9r/y7+fceb51Cq0DD2Nc5j/RqSeD/MFbM/gDW/J/tK30yXyv+Xeef9z51UJ9K1KCH/iYW3kxTf8AHv59a+1Rl7LzKvkrRB+4m6UcwGgz/wDPx+9+tKyZSdj9N/8AgjJ+3PceI4Yv2Q/ivrYlv4YP+KKvZ7j/AF3/AE5f+1q/RSv50/A/iPXPAHirS/G3g/UprTVNNv4bqwvoP+WM0Nfvd+y98dtE/aZ+APhz46aRaxQy6xYf6fYwf8sbyH9zND/3+r4rPMu9lW9tSPuskzH21D2VU6jVYP8Al5Fcb4jnuZ4fs3/LXz/+WFd5qsFz9jl/6bVgz+HLbHP/AC2r5Krc+to1V7A5eCDyP9J+0/vYf9fUWuXFtPDL9nrZ/sP/AFtRf8I5bf8ALx/11qjU4j+w9S/4+f8All/03rU/4Ru1/wCfg10c+h/ufs1v/wA+/m1R/sG6/wCfeb8qAOW0r4SXMHiqLUvs37qvX9D8Aab5P+j21dH/AMIrbed/x7V2Wh+FbbyYhXqYTL/bfxTycXm1Civ3RxsHgfr/AKNWzB4H8iuyg0TTfOireg0PTRDXrUspoHzNbNq55zB4Hon8D16hBodtRquiaaYa6/7JoewMf7WrHhmuaH5FVfDmh+f2rt/HGlW370VQ8K2P77FeHVwio4g9yjmL9gbOh+Fcw/Wtr/hDj6n8q6fwrpVtPDW9/YVtX0+Ey+h7DU+YrZjX9uee/wDCD/8ATtSweFf+navRv7DtfQVb/sK2rr+q0Dk/tCueZ/8ACD/5zUU/gevUf7Etf+fY1n6rpVtBDKcUf2fQD+0K55Brvhwed9mNtVrQ/Cuf+Xauy/sK28/7TWppWh237quSll9D2511cwr+wMbQ/ClaH/CKj/n2Ndjoeh21X/7Dtv3pr0PqlA8mri655/8A8IqP+fY1i654U7/Zq9f/ALDtfQVja5oVtRWwlCwUcZXPEZ/A/wDxMq2dD8K+fXW/2HbedV/Q9KtoJoq4KWEoUT0auYV/YFDSfA/X/Rq/Mn/g5M8Ealonhvwb41t/3UU1hNaTz/Z/+m3nf+1q/XzQ9K0z/pjX57f8HKXwr/tz9jrRvG1ta/8AIB1eaKef/nj50P8A9prqqUVSo+1OPCYt1q3sz8dNK1XGry232aKaL7f5Vx5//TaH/U/9cfOrG8f6HomueJNG8WC38q11iw+yX/n/AL3yZv8A99Us9vcwQ3Wp2/m+b9g0zUP9f5vk1f1WC5Omy6bc+T5UN/NaQQf9dv33/o6uRO1f2tI9Zv21D2Z5zB4VudDh1TUtH1KXzdHv/NuIP+WPk/8Ax6rcEp1W3/4RS5Uy3N7cfatPJ/5Y+d/7RmqyYP7D1L+0sTTRXlhDLfwT/wDTb/7d+5rGn/tKDTNL1K4uZYpbP/iX3EH/ADx/z+5r0V++1PKf7nQ5yfSbn+0vs32b975/leRB+9r9PP2Cf+CP9tP4a0H4o/tj20sv7jzdI8Dwfuv3M3/P5N/7RryD/gj9+y9pvx9/aEl+OnjjTfO0b4fT+dcef/qbzU/+WP8A8er9YtbvrmeaW2/6YebPBPceT5P/AF2m/wDaNeJmuY8r9ketlOXX/e1D6J/4JlfDrwXp/jHXLrw7olpp1p4b0mz0/Q9KgsPKhs/OB87yR/yx/wBT5PHpX2hPqttB1r83P2PP2i/DXwR+M1rc6jcf8SbxHB/Z99ffZ/Khh8n/AJb/APXHzv3NfeOq+Krb/j5/tK08r/nv9or1eH8XQrUTwuIMJiKOO8jqLjVfP/19z5XFcl4j1TwlocMut6yIfKs4PNuJ5/3Xk1Vn8VaHBDLc3GpQ+VDb+bcT15L8VPH+h/Ebw3f5uYdO0azg/f6rqsH+u/64w17eLxaoYc8bB4T2+IPPvFX7c/w3/wCE8l0TR/CX9o2Hn+V9unn/AHNS/wDC4v2Qtc16XUtQ8AeE/tUNv/x/T6DDN51eLQfB34XeP9Surbw98SIfN+0f6/yPJ86uX/aF/wCCZXxs8f8AhWXRPhR8bNE0TVJoPNt76eeaGviHisZWxHtPZe0P0FZfllHD+z9rVpn0jqvx3/Zv0OGW50+28MadFD/x7weR5VfNPx3/AOGeP2xPCv8AwgHx48E+VpdnP9qsL7w5P9kmhm/9r18oeP8A9gr/AIKv/B3TYtb1jxJ/wkNh/wAu8/hzXobvzv8AtjXgXxG/a2/aZ+FfiWLw3qHi2XzYbf8Af2Oq2Hk+TXHVq42tX9mdmEpYOjQ9ofQ//DuD9niCaXW/B/7SHiHT9Ls7jyrix8Rweb/6Ir0b/hHLb4c+Ff7a8AeCbSLQYf8AX32leTD5P/Xavi2D9uD4k32pxXOseCbS7/5+IILjyfOrvNV/4KP+Np/glqnwu8H+ANRtLq8sP7Pgnnnhlhhrgq0a9X+IepRxdCj/AAz27VfHFtqpiubj7XF5P/LD/Q5q3vBGuabP5WpfZtQ/4+P3H+geV/7Wr4o8K/HfxJ5MWmfEAxXcX+q8/wDsGGavVfCvxG8N6pDFqVxc6d9gmuPKggnsLyLyf+/FclTCVqLPQo4uhWR80/twarbaH8fvG/hu4tvNi/teaW3gnv8AyYYf+W3+pg/67V8tTz22leMP7St/skX7/wD54eb5Ne8ftbatpmuftH69c3FtpM0X7mW3n8jyfO/c/wDTevB/FVj5GpS3NvbWkUU0/wDqIJ6/Qspo/wCzn5zmz/2462fXNEn/AOYldy+db+b/AKDoNH/CVWvk/ZtQttW1CKH/AJYfubSGavPoJ+P+Pm78r/phVqeC2nh+0/8AEwl/6711+xoHn/W8QbOq65ps/wDx7+ErSHzv+e9xUX/CValocP2bT7bTrSWG3/18H76sb+yrmD/mGzf9t56LiD/p2hi/5a/6+tlSoGP1ol/4SPU5/wDRtQ1u78r/AJ4QfuqodD/x7f8Af+korQx9qFFFFdBRNBOfXzq/TH/g3y+MNzquo+N/2cNQuZvKMEPiDSYP/IM3/tGvzK/0mvrP/gib4/tvA/8AwUU+H32i5mitdeuJtKn/AOm3nQ//AB7ya83MKPt6B05fWdDEH7e6r4W/c8Vlz+HOxr1WfQ7asufw5bV8xVym59PRzaueVf8ACOfZ/Nuaqz+FfPNeoT+Hao/2FbV539knq0c2PPZ/DdtR/wAI7/s13n/CO/7Nan9iW3+TXK8qZr/axy8+q23nS11uha5/xLoq8bn125gmlro9D8R402I1rhcwXth4rKf3J6X/AG5a/wDPwKtaV4j/AHP/AB815VP4j8iaWrUHiP8A1VdlLNbM86rlNc9ag8SW1E+uW08PSvL4PFdz1rUt/Efn16FLMPbHn1cq9iS+ONV71jeHNWEE1Gq6r5/ArL8i5gmrya1X9/7U9WlS/wBn9kev+FfEePKrqIPEdtXkHhzVbmCGtmDXbkeV/pNe5hMw/cHz9bL/AN+eqwa5bVL/AG5a+orzSDxJc1qQeIq9CjWOT6oeg/2pbe1Zeq6r+5lFcl/wkttVr+3PPh60e1MvqnsS1PPbVLBq1clPqtzBNR/btY+2Or2Vz1rStctvJi/0mrX9t23+RXlUHirHlVfg8R/62tvbHn1cIz0b/hIv9qquua5bTwy8Vwf/AAmNx6D86ln8SYhrb2ofVS1Pqv8Aral0rVe9cv5/n1LBPcw1j7U6/YnqGh+I/Ih/6ZV85/8ABXrQ9M+Iv/BPH4g6bcW3nS2dh9rt/wDpj5NeqwarXB/tUW9z4q/Zp8eeG/8An88Mzf8ATWitV/cBRor25/PHrn2Yada/6T5st54L8qf/AJZedUWh65c65PFc21vFD/oGmahbwQW/m/6mb/7dVD4jT/8ACOab4ctrcf6m3mi8/wD7/VF8HYNS1XR9UuZ/9VDpM0Vv+4/1376GuWlS/ce1Ov8A5f8AsjsvEeh6bBNFptvc/uprDU7S3/6Y/vvOrg9c0r+3PDctzBbfvbywhu4P+m03+pm/9o17J/ZWiQaxa6lqFz5UX9razd+fB/0xh8mo/wBmTwBqXiPx34N8SW/hua70vR7Ca71a+n/1MP8Ay2/8jVj7b2NH2h1rCe2r+zP0/wD2CvgD/wAMvfsu6D4AuLaKHXtY/wCJrr3/AExvZv8A4zD/AOia7LxV4jufKl0TT7a0/wCetv8Abv8AUww/8/t5/wBNpv8AnjVqDxxpviPwHYeNv9Ta3mk/a5/I/e+T/wA9v/jP/bavOTqupar5um3HlTX95cfa7ixn/wCW17N++h87/pjZw/vq+Txdb22IPrMJhKFHDmN44+I2neHNNl1K41Kab7ZceVcX19b+bd6x/wBMbO0/5YQ/9Nv/AN9Xuf7K/wDwUR1LSvsvwB+JFzaRXVn+60HVb7/0TN/02hr4K+MXirUoPG1//Y+t3c32z/j41Wf91NqX/Tb/AKYQ15hrfxE8KeFhbabq/iy00+WWfMGJ/K82b/49W2X1cRRr+0pHJmFHD16Hsqp+7XxH+MXiT/hG/wDiX+LbSKKaD9/B9n/11eLfFv4qeLdc+Ht1pusa34e+wfZ/9RB50M01fFHwd/bn03XPBNr4b8b/ANrajfw/ure+0qD7X9s/67f88Jq3p/jv/bk32nR/BPiH/rvPb+TWmYZtiK/7oxy/JMPQftTt/wDhKvFulQ58P3M0UsP+ongry/xx/wAFA/2kPhL4qltviR4A1G70b/lhrmlX/nVfg8f+NZ5s3HgmG0i/1v8Ax/1Q8R+ONN1z/RtQtv8ArvYz2/m1wUauJontVaeGrHR2/wC3rpvxi03S7a38W3dpa2dx5tv59vNDUvxU8R/C740+Ff7E8cabonif7Hb+Vbz31vD50NeQeI/g78LtVhl1LwfqX9napNcf6/Sp/Krz74jfsveP5/DeqfGO38bfa4tBg82eee38ryfJra0q9e/tDkvGhQ/hHeaT/wAE/Phd4/m+zfD/AFK70mX7P5v7+482vB/jT8K9S+BHxO1T4XeILm0u5bO3hlgvoIP9dDNXks//AAUC+KPhX/knHi3VpZfI/wBfPPXnOuftQ/FHxV4kl8SeMLmHUb+8n82eef8A5bV7+EyrHP8AingYvNsCv4R7x59tjH7n/wAjQ1a0PxHqWlebc6PqV3F/z8fYb/8A11eI6H+0npv/ADGdNu7T/rh++rstD+KnhLxH/wAg/W4pf+fiCenVy+vR/wCXRjSzGhV/hnEfHD4jXPir4wX+pahqV35vn/v/ALd/pf8AqYa4PxH/AGbP/wAe9taf9d4Kq+I9V/tzxJf63/z2v5pf3FVZ9VuZ/wDj4/e/6PX01Gj7GhSPmcXW9tiCP/v9V6A+fDLxd/uf/INZ9R+f7V1HMX8Wv/PtP/4EVFP9m/59qq0UASVHRRXQAUUUUASV9G/8EodK/tz/AIKKfCW2+zed5Pi2GXyP+uP76vnKv0a/4IA/sveLdV+L1/8AtZaxpvlaDoNjNp+g30//AC96nN/zx/64w+d/3+rzcXV9jQOnCUXWrn7PXGuW1UJ9Vtq42fxHbVQ1XxV6V89WzE+ho5fXOyn1y2qrPrlt/wA/Ncl/bd1/z8isa41z99XnVsxPRo5Ud7/wkdr7Ve/4SPTvX/yXry/+3B6itT/hIx7Vy/2sd/8AZJxs8Ft53+kVfg0q5go8j99L9pq/pUH7mvJo0j161Ui/sr/n4q15Ft5NX/JWq1eh7E5PalmCCtTSoLaqFtV+Hp+Fa0TycUHkHH2n7NUv9h237o1fggo7Rf6NXYqSMva2LUGh1a/sv60QHyOKt+cfevQo0qB51arXuQwwW3nRVoeRb/3hVT/RpzQJ7mDrW5iWvJWj/lj+FRQT0ef7UGYT9qq+RbetWv8AX1H5J96ALMGlW37qrUGlW1RQQfueKtfuP85rSlSF7UPs9r6H8qj8k+9WKjngrQwLUGlW1WoNLtqq21WoO9C3M6xL9ht/aquraFpuuabLptxbedFeW80U8H/PbzqtectFv/rof+vitquwUb3P5k/2oNKudK8VReHLe2m/0O/vLSCD/rjezV1vwk8AW0HwxiudY/c+dYTeRB/z2869hhr1D4i/B621z4+yie2ixpur6/NcefB/qf8ATZ//AGt5NWp/DmnW/wBg8JW/737Hf6ZFPBB/y28n99/7W87/ALbQ14tbMF7D2SPbwmX1vb+1qnn3ivSvFvirxhYW2j6bL9lmv9TtJ/8AR/3MNe0+B9c8JfBfwJL4cOpfa/7HsPsn7j/XTTTf6n/ttNXG/FT4j/8ACOabr1z4fttW061s7/7JcWNjcf6mab99/rq4P4qfFP8A4RbwTpet6f8A8xKw/wCKZsZ7f/UzTfuZr2b/AJ7zTfvqy9lXxnsqR1+2oYP2tU+gv2WP+Cgem6VqUXwB+MF1D/ZcN/8A6PfQT+bD/wBMdGh/6Y+d/wAtq948VeKtS0PUr/8AtDyvMh/0SeeD/ltrN5/rv+/MP7mvyX8Oatc6VqUv2i2866/1Vv8A9dpq9p0P9tLx/wDCuGLwVq9z/wAJDpeg280VgJ/3Xk3k3/Lb/pv/APbqWYZJ+/8A3QZfxB+5/en0Z8dp9N8VeKpdb0e28m1vL/8As+w/f/6mGzrwLxVP8N/CupReJPixol3d2vkeVYfYf+WM1amh/tUfCXXIf9I1u707yYIbS3gvoP8Av9NXE3vjHTf2k/j94O+HHhC3llsNS8TWUU8/keT5376ng8FXo/xQxWMw9Z+1pH1Tqv7Qvi34EfDGLW/h9+zNd3ejXkH/ACMeq2/lQ2f/AH4r54+I37VP7THjiaX/AIr7+ybCb/lx8OQeT/5Gr+gP9lf9mzw34c+EudR8N2k1rNYTRT2M8HnQzedXwL/wVX/4Ixf8IOL/AOP37J/hvztL8j7Xr3geD/lj/wBNrP8A6Y/9Ma1wuX+xo+1q0jkq5r7at7KlVPyS1zXPH8E0tzceNtbl87/j4nnv5v31S6Hrni3VfN+0eLdW83/r/mrZ8R6H58Mv+jeT/wBMJ7fyfJrl9D+0wal9m/6eK9WksPWoHl1XiKVfcl8nxboepf23p/iTUIbqH/j3voJ5qtap8R/jJ4p0iXw74g+KPiG70u8/dT2M+rTTedXUf2V5/Xyqxjof+t/0b/vxSVTDpmt8Szg5/Cvkdv8Al3qr/YfkV6DPodtWNPpXkf8ALtXaqx51XCHL/wBk+/61F/ZXH+j/AOt/6YV0fke9ReSfetfamPsrHJT6VcwVVrqJ9KqhPofn8Vt7Yyq0TGoq1PpVzB/x71V/f/5xWhmFFFFdGgBRRV+Dw5qU9c4FCpKtz6Vc6VUtvoeTFn/W0/bIn2J7f/wTn/Zn+HH7UX7UXhf4X/FHxLNp+jXk80txBB/y+eT+++xf9dpq/eTw54H8JfDnw3YeCfA+iWmk6Xptv5VhY2MHkww1+SX/AARi/Ze1L4qftBxfGPV9Nm/sH4e/6V5//PbU/wDljD/2x/11frb59x/dNfJ5ri/bVj7HKcIqNC5Fc1l+R59ak4/5eKqj/lr+FfPVj3KP7koTwVQ1WDz/APj386tS5qKCDn/Sa5Kp6FIq/wBlfuav/wBiW3r/AOTFRTz+RU3266/6bVjagbfvyGfSv31X9KgqXyB51X9K0r2r0aNE8mtVIoIKteRbTw1LBpXkdatQQW0FejSonn1axQn0nyKP9JgFb/2G196qTwUexD2xFpU9zWhD1/GqkEFX/I966qRx1dwg71cqCDSatCDyOtbUaRy1apFbVNRVn/lj+FbhV2KVWIPs09E8FtRBBQZEsEFS/ZvapYPs2Kv21aUaJh7Uq29v5FHn+1X/ACLf+7R5Fv8A3a0MvbEX+vp1SeSfepIIKA9sR+SferMEFEH2bNWvPt/71dAEU8FzUdj0i+lWZ56q6rqum6Hpsut6hcxQ2tnbzXdx/wBsaVbUa0Z+Mv8AwUQ8VaJ8Fvi18QdEt7mGa6+33ktvBB/02vf/AN9Xg/gfxxda54k0G51DU7u0l8Ya9/aH2GC3/fTQ/wDLH/rhD+5ry/8Abn+Leo/FP44+I9S1C5/0qbXr3z5/P87zoZpvOq/pQ1L/AIXX4N03wOZprrTbey+365P+6hh/+MQ15/8AZ9CjRPVWYV61axs/FTRNS0PwH4t/tf8A4SG0tdS16G7/AH9v5XnVwfhbxHpvjH4cS6JpHhvztZ0iD7LpM88/mzTedNXsnjjW9E8VeFfFl1beHNQm0bTZ/wDR9V1W4877Zef9Mf8AnvXzJoeu6n8OfG39tf2b/pUPnRQQT/ufJrfL6ftaNjHMH7KsX9Vg/sPUpba3uYv+JbB5txfQf8tpqJ5rfVdMsNOxF5lnB9qnn/57ed/n/wAg1l65/Zv7q2t7nzoof3t/P/qvOqIfv/Nz/rbz/wAg16nsjxPahBb/AOq/6bT+dX1L/wAEcPhX/wALG/4KJ/D7RPs3nRab9s1Wf/tjDXzJ59t+9uc/uv8AVQV+jH/BsF4A/wCE+/4KKXWpXFt/yDfAd7N0/wCm0MNFvbfugpN0V7U/oh0L4W6b4e+CemWs58q6EEMprF8SeCLjXPBX9o3GnebbfZ/Knmr17xrbr/ZEcQGI45xmsLwr+/8ADmqaL/zx/ewV6Hsk17M8RVa1/an84P8AwWd/Ytt/2ZfjZ/wn/ga2/wCKS8bX80vkQf8ALnqf/wBu/wBdXwLrkH9k6lFc/vq/pJ/4Ko/svab+1D+z34o8Aafpv/E0+z/2hoM8/wDyxvIf8+T/ANtq/no+KngDUvDmj2upahbeV9s/deR/zx8mvn3+4r+yPsaP7+h7U6P4SeAPEnxH1GLRPB+m/a7qaDzbj/lj5NfTfhz9iz4OCG1tvGGiah9q+z/6fPBf/wDf6ov+CbPge1n+BuqeLbjyobrUr/yvPng839zDXuc+h6af9GuBF+5/5YQV8nmOYVvb+ypH1mU5dQdD2tU8b1z9jv4J6rDF9n8NzWks3/PC4m/c/wD26vKvFX7Gngn+x7q50/W9Qiuvs/7iD7R53/LGvqrXP7Nt9Mi/11eQfEbxHbQanF9o8qbzoP8ArrWVHF4j/n6dVbCYf/n0fLXir9lfxboepXX9j3NpqMVnceV/zx87/PnV5prnhzW9Dm+zaxp0tpL/AK39/B5VfYeq+P8ATYDLc/uYYoYP9H/0evKvH/xU0TXNNltri286Ka4/fwf88f8AXf8Ax6voMHj69b+IfNYvL6H/AC6PAvI/+M1Vngr1XQ/AHhLxwZbm31KbTpYf+WEH76sbxV8FvFvhyaX7Pcxajaw/8t4K9aji6P8ADPI+qVzzmfSai/sr990ren0q5gm/49v+2FReR/ra6/anL7EwZ9Dtv+faj+w7b/l3tq3vJWiDSfPo9sHsjG0rQ7bvW9BpX+fIq/pWleRVqe3toIZayq1jWlROD1WDz9S+zZ/dV1vgD4ceLfiN4q0vwT4P0Sa71TWL+G0sLGD/AJbTVl6VpV1PN9p/57T1+pX/AAR+/Yg/4RzwTL+158SNElhutSg+yeCrGe3/ANTZf8tr3/tt/qf+uNZYur7Gh+7DCUfbV/3p9X/szfsz+E/2YPgD4X+E3hG3zFDYfar++P8Ay+Xk3+um/wC/1dv5HvWzBBbf8Ira3P8Az5z+VWXPPbelfMVm3qfT0qv/AC6pFCeDtUU8FzVqefz6WuP2R6FKqYs8Haqs/wBpgrU1We2rGnn8+vPrHXR/fEWqz3NSf6TUc8/erX2i19T+dY6HfDY1P+WtbOlT/wCqrMm/10v1qzBP5FetR/cngVV7Y3oDbT8Vb8k+9YsGq1f85a9ajVPJq0WWf9JqaD9/0rLuPtNSwT0/bB7I2f7J9/1qWCCooJ+9TecfetaRyVfblmCCieCiHp+FT11mRncQVbg/1p+lQz9qlggrMLhP9pzVb7dce9WZ4KioFSJYJ7mr9t/yyqrbVqQQdq6aRjVJvOPvSefcf3TR5Fx/eNMpGQVYqPzj71JQBD/pNTf6ipKK39kAvnLXOfFuC2n+Evii21i58qwm8M6nFfz+R53kw+TXRwQUa7oem+KtHv8Aw3rFt5trqVhNaTwT2/8Az2/c0won8vWlaHqWq/EjXvtH+ly6PYTSwTz1teKr241280rxZq+t/wBn+HfsMMOIJ/3155P+u/8A31d3+1D8CPDf7L3jb4g/C7xB4tu4tZs7+bT57GCD9zN5M3/onya8b8La5bap4b/4mFvdahqmjz+VoOlf62H/AO30Uv3yNav7mue5+I/iBbQQ6X8SPGFtFp+l2dh/xRfhWD/XTTTf8tpq8W+KngDUvDusRabqFz9r1m8t/Nngg/5c66Ox1y58mK51C2m1zxvN/wAeEHn/ALnR/wD7d/6JqXwrpX/CceG9U8Aafcwy3UP+l694qn/5Y/8ATH/rjWVKl7H94bVf3/7o800rSrb979oH+i2f73/rtR/YepedLbf8tfI82f8A6Y0TwW0E39m29z+6s7j9/P8A89qvwa5cfveP3t5Xonk/uE/ZFD+yrnzv9ItvJ/0f/UT/ALmv1x/4NIvDtvN+3d4y1Of/AJc/hrN/6WwV+Vk/iO5n837R5P76Dyv+e1fr1/waEQLf/tZfFC/ccWvw7hEA/wC3yGk/94pCq/uaFVH71+MP+QFL/wBdxXE6Hrlvoevfabj/AFX2jyp67zxV/wAgGX8K8l1y48iaXNeqeGtjzn4tz3M+pXVt9m8mKb/lhB+5r8C/+CoXw5tvAHxg8UeCbf8AcxWd/wD2hYQQf88bz99/5Bm86v3l+Leq3MH+k/aa/FH/AILnQf8ACOfGzwv4ktrn97qVvNaXFfJ5rf29I+tyn+ARfsk/Ea20P9mnQdEt7aGH7HPNDP5Fd5rnxV02CGL+0NN8m6ryX9km303/AIUDa3On3Mv2qa/mluIKl8cf2l5MuLaL/j383/UeTXx1Wl+/qn3uFq/7PSNnXfjF/bnm/Z/N8r/nh9n/AOu1eVfEbxHnyh9m/wCXeaL/AJ5VagguZ/K+z3MP/Tef7P8A6muN+KkF1BD/AMtZbr7P/wA966sJRXtzkxdav7E4PXPFVzPPdW1wfJ8mf/rj5Nc5qs9yBLbG5m/4+P8AlvUuufafOl+0W3/Lx/qKxpuv419PhKPsT5mrWJdD1y50rzf9J8nzv+eFWrjxHqX/AD8y/wDf+sbz7f8AuiovP9q6/YmPtmWtc1W21X/Sbj/W1Rpv+k1Hc1qclYLar8EFv53/AB7VQt/9dWzB9mxQFEvw/afOrL8VT+RBFbH/AFs1bOkwVQ8K+B/Enxi+LVh4A8H232u6vL/7Jb/9Ma427anXv+6Pff8AgmX+xZqX7W3xssNN1jTf+KS0H/S/Et9/z2h/54/9dpv9TX7e6roem6H4btdE0+2hhtbO38q3gg/c+TXlX7Hf7NnhL9lf4J6X8N/B9tD5vkfa9Wvvs/8Ax+Xv/PavWvEf+oirldX2y9obKl7F+yMv/mVb+2z/AKn97XGz6tXeaHB58N1pv/Pa3mirg/JWvKxn/Lr2R7eXW9tUDzlo85ai8j3on7V53747ChPPVCcf8vFWp4LeCeqE48//AEYmvOrHqYQqzz1b84/8/JrPng+z1N5x965DsO21b/ltUUPT8K2fA/gfxJ8VPEkvhvwfa2k11DB5v+nT+V/y2hh/9rQ1J4p+HXizwRpuqa5q9vZxRabBpl1cQQXE03nfbP30Pk/uf39fT0cJXrUPa0j5OrmFCjX9lUqlGDvVq2re/wCFO+P9KmlttQ0S0htYfJiuL6C4mmhh86GGb/nj/wAsftcNSzfDrxadS1PTrbTbS7udH8S/8I/PBBPN5015++/1P7n/AFP+iTV6FHCYg86tmuH/AOfpjUVu654K1jw5pOj+Ib+CH7PrommsRmaKYCLyZv8AlvD/ANNYvyqtb/Zv+mX/AIEU/qlej/FCli8PW/ekRn8jpVqCfz6qz/Zs/wDLKpYDbf8ALvcw1pZmVV4c0POPvSefcf3TRBPbf8e3/LX/AFXkQfvqIJ9Nn8q1t/30v/PCD99XQcl0E89EE9z6VLB/ZtxN/o1z/wAu/m0eRbQeb/pMP7n/AI+P9I/1NFmF6BLB9pzUvkW3rRBPpsH/AB8XMX/be4rU+ze1dNGiY1awQQW1Wrf7NUulaVcz/wCjW9tNN/1wg82j7P8A9O0tb2MvbISl8la1ND8D+JPEZludH0S7u/J/dT+Rb+dVqD4c+Np4ftNv4S1CWKb/AFHkW/m1r7JGPtcOYPkrRB/17Vvf8K58WzzfZv8AhE7vzfs/m/uIKig8D65/Zsup/wDCNXf2WG48rz/Io9kZe2olGpM/9Ov61s/8IB4tgntdNuPDd39qvP8AUQfZ/wDXf89qtQeB/Fs/m21v4bu/Ns5/Kng+z/6mtfZB7aicx5J96kg/cdKv/wBl23vR/Zdt70ey8w9qfEf/AAV6/wCCZdt+2l8N/wDhZHwftrS0+I2g2/m/uP3P9vWX/PH/AK7Q1+CvkeLfhX4qlube2u7TVLPzrS4gng/1P/LGv6wfI8iavzY/4Lx/sM/s8a54UsP2j9OA0TxveXH2W4sbG38q01j/AJbedN/02/5Y+d/02rk9r7E2o/v37M/H7xHqtt4c02XRfA+pS3f2yCGXV9V/1Pnf9Mf+uNUPA/iPTYP+JbrFzL/Y0P724sYJ/K+2V2Wu2Oo2/gOXwT431zSfD0Wmz+bb2MFv5s03/XavKseRN9p/54/8e9bUvYVqAqvt6Fc6jxVquparNFc6hbQ2kX2f/R7GC38nyawfP8jp/wBt6in1W5nmluLi582Wb/j4nnqLz/auqlSMqlX2zL/nH3r9p/8AgzrgH/C/vi9qB/5ZeC7OH/ycr8U4f+WVfun/AMGd/hCdNc+NHxCcfuobLS9OH4maX/2lWb/3ikY1v93qn7ieIl87R5veCvF/Elx++r27VYPP02W2/wCmFeGeKp69CqeTRPKvjV+/8Ny3MH+thr8Qv+C/Grf8XJ8EfZ/+W3nS1+2fxF1Xz4Zbavwz/wCC8U9z/wALr8HaH+98qzsLyvmMVrjqR9Zl37nA1Tl/2O/H9tP8H7/wl9p8mWzv/Nn/AOm3nV2+uQW088Vt+9/1/lf9ca+ZP2bPHH/COeKYra4ufJtdSg+yXHn19N2+qWwhitT5Pm3n/TfzvJr5/NqXsa/tT6zLq3tsP7Mq/wBlZ825+03csUNx/qPP83zq434q6T58H2a4tv3s0H+kT/6n/ljXoP8AxLZ/9Gt/9b9o8r/UeTXL+P8AStSg83/pj53/AC71x4St+/Nq1L9wfPviPSraD/j3EPlf6quX1WC5r0vxxof2f/Rrc/6n97b1xGuQfua+so1vbHzNaic5N/yzqLzj71LcfZqim6/jXoHnC1Dc0XNQzdPwoAmtq1Lf/lrj/v8A1l/aPf8A5ePWtTRP8ayq7hRNmef+ytNlubf/AK5W9fa//BKj9nrRPA80vxI8QW3nazN+98+f/ljXxb4Vg/tz4kaXp3/LKz/e3Ffpt+x3cW0/hWK2/wCWv2iGL/rtXz+dYv2NH2Z9NkuEoV63tap9w+HP+Qba/wDTaCr+uz/6riuc8K3HnwxVs65P++rTCVX9XOXF0l9fJfCs/wDxMs1y+uaV5E0tt/zxnro/Dk//ABMqi8VQW39pS06tH21AVKt7GuclP+4rLn+08Vs6p9mz+NVfJWvJq0We3RaMa5/5a1l1s6rBbVQ/0avJrJnrUWihPPc/8+1Rf6V/z7n86mm6/jUnke9cZ2Hp/wAH/H2jfDnxrN4k8W+HLrULGbT/AChDpYzL/roZv+W3/TGGaH/ttW/8afib4c+MXgSwt7a2ltNU0eeaGwsZ9C82a8g/cww/6X/yw/cwzTf9dq4O5q3D/qf+3ivrsHj6/wBW5Oh8VjMsw7zDn6noHiP4t6JPrGs3Oj+JLv7BrFxoEtxBP4a87/jzhh87zvP/AOuP/kGrFt8YrDSfEnivxbpGh3Woyal8Qf7b0qxnaa0ims/JvIf30uP3P/H3F+5rgq19K/1UtegsdWPJrZbh9zovHvxE0zx74V8Maba6JLp11pHnxXFuPOl8mHybOGH99N/r5vJtKjgn8Af2Z9puPDd39v8AI/48YNJhlh87+xvsf+u87/UzTfvv/t1Y1X4P9UfrV/XKzrGdTAUFQ0L+q/8ACE6rpF0bfw3dxX95b3n2eD+yIfJhmm0yGz/13nf6mGaGab/ttUuuf8IVqv2+60/w3dxXV5PqctvYz6RD5MP2z7F/y287/lj5M3/f7/ljVWHp+FS21a/W6pKwdItaHrltBDpmm6h4T+12FnBZ/uPsEMPnTQ6n9s87/ttZ/ua09D1Xw5Do+g239i/2h9jgspZ7H+yIf9Emh1Oeab99/wAt5pof3Pk/6n99Va2qLw1/y/f9f9dNGbOSrhKRV1WC5n8N6Xpuj6bNaS2dh5VxBBbw/wCu/ffv/O/1377zof8AXVs6rfadN4lutS0/Rbu0imsPsmkwQaRZy/2DN+5/1P8Az2/1M0PnTeTN++oqSuvmF9TpCz+KrmD7V/wh/gmHSYpvOlt4PsEMvkzTXsM3/omGaH/ttR/ovnS3Nvpv2S1mv5pbex/54w+d/wC0aSpp/wDljUjo0YnUfDnxVpvhz7V/aHm/6ZcQy+fBB5v+pmqXXPHFr4jhi037L/rr/wA2/nnt/wDXQ+d+5/78+dNXLwdJfrVqx/1sX1q+di+p0vbHUeAPH1t4Hhl0640Sa7i/taHULfyPJl/1P/Xf/wBHf66oYPH39iTWw8P6bd6ePt39oX97B++lvJv/AIzDWGf9bL9aWjnZl9TpHVwfE3w5Y/ZbaDw5dxWsNx5s8EFvZ/6ZN/35/c+T/qf3NS6r8abm+ml1v+xJodZmsJrSCeC//cwwzTed/wB/oa4OrX/PStPaMX1OidufjDpv9my6J/wjd3La3nnfb5/3MU03nf8AXCGobD4s6HYeIj4iuPDd2ZIYIbWwg/c/8sYfJ/13+u87/rjXJwf6o/Wormr9tIj6pSCCe5qXz7j+6alg71H/APJFcpSpIh8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``` ------------------------------------------------------------------------------------------ #### 数据推理 | 问题/回答 | 页面 | |-------|-------------| | 问题一 | 技术方面的内容，如何支持？ | | 回答一 | 通过face++平台调用相对应的api | | 问题二 | 用户能通过页面获取到什么？ | | 回答二 | 得到他们想要的夫妻相测试、颜值打分、明星测试、未来孩子长相的反馈结果 | | 问题三 | 夫妻相测试与明星脸测试是相同的api，但他们的流程有什么不同 | | 回答三 | 明星脸使用过人脸对比api通过上传一张照片然后去数据库中筛选出最想像的人脸进行匹配，而夫妻相是直接通过两张不同的图片进行对比 | | 问题四 | 请求从哪来？ | | 回答四 | 用户上传的照片和选取的功能 | #### 人工智能概率性考量 - 概率性问题 1. 人脸对比api：将两个人脸进行比对，来判断是否为同一个人，返回比对结果置信度和不同误识率下的阈值。 支持传入图片或 face_token 进行比对。使用图片时会自动选取图片中检测到人脸尺寸最大的一个人脸。 ![人脸对比api](image/人脸对比api.jpg) 2. 人脸合成api：使用本API，可以对模板图和融合图中的人脸进行融合操作。融合后的图片中将包含融合图中的人脸特征，以及模板图中的其他外貌特征与内容。 ![人脸合成api](image/人脸合成api.jpg) 3. 颜值评分api：传入在Detect API检测出的人脸标识face_token，分析得出人脸关键点，人脸属性信息。一次调用最多支持分析5个人脸。然后根据分析出的人脸关键点和人脸属性进行评分。 ![颜值评分api](image/颜值评分api.jpg) #### 因为该产品只是一个小游戏、小程序，所以在消遣娱乐方面不需要要较高的精确度。以上api即可满足该产品的api服务。 #### API产品使用关键AI和API的输出入展示 - API1.使用 - 该产品使用了以下API > [face++开发平台-人脸对比api](https://console.faceplusplus.com.cn/documents/4887586) > [face++开发平台-人脸融合api](https://console.faceplusplus.com.cn/documents/20813963) > [face++开发平台-颜值评分api](https://console.faceplusplus.com.cn/documents/4888383) - **API2.使用比较分析** | _人脸融合_ | face++开放平台 | 百度ai开发平台 | 腾讯ai开放平台 | |:-|:-|:-|:-| | **成熟度** | :fa-star: :fa-star: :fa-star: :fa-star: :fa-star: | :fa-star: :fa-star: :fa-star: :fa-star: :fa-star: | :fa-star: :fa-star: :fa-star: :fa-star: :fa-star: | | **性价比** | :fa-star: :fa-star: :fa-star: :fa-star: :fa-star: | :fa-star: :fa-star: :fa-star: :fa-star: | :fa-star: :fa-star: :fa-star: :fa-star: :fa-star: | | 颜值打分 | face++开放平台 | 阿里云开放平台 | |------|------------|---------| | 成熟度 | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | | 性价比 | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | - **目前市场上颜值打分api基本都有，个人认为face++不管是技术还是价格都是比较好的。** | 人脸对比 | face++开放平台 | 翔云人工智能开放平台 | 聚合数据 | |------|------------|------------|------| | 成熟度 | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | | 性价比 | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | - 首先，face++可以申请开发者账号，并且有一个免费的key密钥，而且大部分功能都可以使用，速度和正确率都很不错。最重要的是可以免费使用，对于在校开发者来说，实在是无法抵御。而在市场上，目前的机器视觉公司，face++可以算的是第一了。 - 其次关于旷视科技、云从科技、腾讯优图和阿里云这四家人脸识别系统供应商收费的问题，它们之间的相互差异表现较大。旷视科技在线API按照调用量统一价格收费和包时收费，SDK可分为联网和离线两种类型，并按照时间和授权设备数收费；云从科技提供在线API和在线与离线SDK，其中在线API按照调用量进行阶梯价格收费，在线SDK按照授权设备数收费，离线SDK须一次性支付费用购买使用；腾讯优图提供在线API和在线SDK接口，按照调用量进行阶梯价格收费，并且还会按照人脸图像存储空间大小和流量多少进行收费；阿里云仅提供在线API接口，不提供任何的SDK接口。 - 总的来说企业在选择服务商时，首先应当考虑的是企业需要哪一项具体的人脸识别功能，然后考察服务商该项功能的一次性购买价格与调用价格，最后再决定以何种接口形式接入人脸识别系统。 - 关于[face++机器视觉](https://m.sohu.com/a/115207707_495702)的文章，所以当我们用如此强大的api来解决我们这个产品的api要求来说，是绰绰有余的。 ---------------------------------------------------------- ## 学习/实践心得总结及感谢 ### 心得总结 * API之智能产品设计中，我认为最重要的就是既不能把API看的很难，要去克服它。要真正意识到api是什么，能做些什么，哪一些普通产品做不到的而api却可以做到的，不要想着只做成普通产品就可以满足用户的需求。在api产品的设计中，一定要做到“以人为本”的核心观念。而我的产品**fun-face**便是抱着以用户为本的概念，从目标用户到使用场景过来的。而我所用的api价值主张是娱乐消遣，让用户有更好的体验感。为此，利用api技术来进行了我这款产品设计。 ### 感谢 * 感谢face++开放平台的api技术的开放，为我代码的编写提供了帮助，也为我的人工智能概率性的考量提供了帮助。也感谢各大开放平台的帮助，为此我附上一些URL来感谢各大开发平台对我的智能产品设计的帮助。 - [face++-人脸技术](https://m.sohu.com/a/115207707_495702) - [基于face++的人脸识别功能](https://blog.csdn.net/ljy160623/article/details/90696405) - - [face++开发平台-人脸对比api](https://console.faceplusplus.com.cn/documents/4887586) - [face++-颜值评分api](https://console.faceplusplus.com.cn/documents/4888383) - [face++-人脸融合api](https://console.faceplusplus.com.cn/documents/20813963) - [人脸识别系统收费对比：旷视科技、云从科技、腾讯优图、阿里云](http://www.chiefmore.com/renlianshibie/3368.jhtml) - [阿里云颜值打分](https://market.aliyun.com/products/57124001/cmapi014897.html?spm=5176.730005-56956004.0.0.Shz8je#sku=%7B%7D) - [聚云数据人脸对比](https://www.juhe.cn/docs/api/id/264/aid/1018) - [祥云开放平台人脸识别](https://www.netocr.com/face.html?renqun_youhua=317743) - [腾讯开放平台人脸融合](https://ai.qq.com/product/facemerge.shtml) - [百度ai开放平台人脸融合](https://ai.baidu.com/tech/face/merge)