{"cells":[{"metadata":{},"cell_type":"markdown","source":"<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:blue; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center>Acknowledgements</center></h2>"},{"metadata":{},"cell_type":"markdown","source":"1. I would really like to Thank Kaggle and Riiid to host this competition , applying Ai to Education is really one of the novel ideas.\n\n2. I would like to thank Analytics India Mag , their article over [here](https://analyticsindiamag.com/riiid-announces-100000-kaggle-competition-using-ednet-worlds-largest-education-dataset/) , helped me understand more about domain and Riiid itself .\n\n3. I would also like to thank [Kostiantyn Isaienkov](https://www.kaggle.com/isaienkov) , his EDA kernel [here](https://www.kaggle.com/isaienkov/mechanisms-of-action-moa-prediction-eda)  for mechanisms of action prediction competitions , provided me lot of ideas and also how to best showcase the results.\n\n4. Finally Do Upvote this kernel , if you found it useful and insightful , it will motivate me to produce more kernel relevant to modelling in this competition and also more kernel in future !"},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:blue; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center>Quick navigation</center></h2>\n\n* [1. About RIIID ](#1)\n* [2. About Data ](#2)\n* [3. About TOEIC Test ](#3)\n* [4. Intelligent Tutoring and Knowledge Tracing ](#4)\n* [5. EDA OF Train.csv ](#5)\n* [6. EDA OF Questions.csv ](#6)\n* [7. EDA OF Questions.csv and Train.csv Combined ](#7)\n* [8. Example of Test Data ](#8)\n* [9. To be continued Upcoming ](#9)\n\n\n  \n"},{"metadata":{},"cell_type":"markdown","source":"# Information About The Competition :"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"1\"></a>\n<h2 style='background:blue; border:0; color:white'><center>1. About Riiid</center><h2>\n"},{"metadata":{},"cell_type":"markdown","source":"1. Riid is an AI Company that provides Ai based tutoring solutions to their customers\n2. From the company Website itself Riiid stands for Removing Barriers in \"Inefficieny\" , \"Inequality\" , \"Inconvenience\""},{"metadata":{},"cell_type":"markdown","source":"![riiidhome.JPG](attachment:riiidhome.JPG)","attachments":{"riiidhome.JPG":{"image/jpeg":"/9j/4AAQSkZJRgABAQEAYABgAAD/4RDaRXhpZgAATU0AKgAAAAgABAE7AAIAAAAFAAAISodpAAQAAAABAAAIUJydAAEAAAAKAAAQyOocAAcAAAgMAAAAPgAAAAAc6gAAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFVzZXIAAAAFkAMAAgAAABQAABCekAQAAgAAABQAABCykpEAAgAAAAMzOQAAkpIAAgAAAAMzOQAA6hwABwAACAwAAAiSAAAAABzqAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMjAyMDoxMDoxMCAxMDo1NjoxNQAyMDIwOjEwOjEwIDEwOjU2OjE1AAAAVQBzAGUAcgAAAP/hCxdodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvADw/eHBhY2tldCBiZWdpbj0n77u/JyBpZD0nVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkJz8+DQo8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIj48cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSJ1dWlkOmZhZjViZGQ1LWJhM2QtMTFkYS1hZDMxLWQzM2Q3NTE4MmYxYiIgeG1sbnM6ZGM9Imh0dHA6Ly9wdXJsLm9yZy9kYy9lbGVtZW50cy8xLjEvIi8+PHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9InV1aWQ6ZmFmNWJkZDUtYmEzZC0xMWRhLWFkMzEtZDMzZDc1MTgyZjFiIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8iPjx4bXA6Q3JlYXRlRGF0ZT4yMDIwLTEwLTEwVDEwOjU2OjE1LjM5MjwveG1wOkNyZWF0ZURhdGU+PC9yZGY6RGVzY3JpcHRpb24+PHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9InV1aWQ6ZmFmNWJkZDUtYmEzZC0xMWRhLWFkMzEtZDMzZDc1MTgyZjFiIiB4bWxuczpkYz0iaHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEuMS8iPjxkYzpjcmVhdG9yPjxyZGY6U2VxIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+PHJkZjpsaT5Vc2VyPC9yZGY6bGk+PC9yZGY6U2VxPg0KCQkJPC9kYzpjcmVhdG9yPjwvcmRmOkRlc2NyaXB0aW9uPjwvcmRmOlJERj48L3g6eG1wbWV0YT4NCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgPD94cGFja2V0IGVuZD0ndyc/Pv/bAEMABwUFBgUEBwYFBggHBwgKEQsKCQkKFQ8QDBEYFRoZGBUYFxseJyEbHSUdFxgiLiIlKCkrLCsaIC8zLyoyJyorKv/bAEMBBwgICgkKFAsLFCocGBwqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKv/AABEIAdsFIgMBIgACEQEDEQH/xAAfAAABBQEBAQEBAQAAAAAAAAAAAQIDBAUGBwgJCgv/xAC1EAACAQMDAgQDBQUEBAAAAX0BAgMABBEFEiExQQYTUWEHInEUMoGRoQgjQrHBFVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4eLj5OXm5+jp6vHy8/T19vf4+fr/xAAfAQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgv/xAC1EQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS8BVictEKFiQ04SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqCg4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri4+Tl5ufo6ery8/T19vf4+fr/2gAMAwEAAhEDEQA/APm2iiigAooooAKKKKACiiigCwP+Qaf+uo/lVerP/MM/7bf0qtQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFWm40iL/ru//oK1Vq0x/wCJRH/13f8A9BWgCrRRTo43lcJEjOx4AUZJoAbTo43lcJEjOx6BRmtBdJEHzanMlt/0yLZc/gM4/H8qSW8tY4zFbI7IeGA+QN9epP5j6UAQC3hg5upNzdoojk/ieg/WpgLoR/6PCLWNh977pI/3jyagF9JGf9GVIP8AajX5v++utQPI8jlpGLMepY5JoAsC3t0P+kXQ/wB2JS5/XA/WrEEttb20s8duWOPLRpXzknrwMdv51m1avCY1itu0S5Yf7R5P9B+FACC/nQ/uCsHvEoU/n1/WoHdpHLOxZj1JOSabRQAUZoooAM0ZoooAKKKKACiiigAq0nGkTe88f6K/+NVatdNI/wB6f+S//XoAq0UUUAFFFFABRRRQAVe047Y7th2t2/Ugf1qjWlo9u9z9rhjwGaDqTwPnUkn2xUy2M6rShd/1qR6fABuvJiywQEElTgs3ZQfU4/AUtzqZ1C4aS/jWQngMnylR2A/+vTNQuI5HW3tSTaw5EZIxvPdyPU4/kO1U8U13HFNvmZaazEhzZyecP7hG1x+Hf8M1WIwSDwR1FJ0rRiMl2m6+QNH089jtb8/4v1plmdUsNtLPkxoSq/eY8AfU1de2t4EMlp/pwHJdhtC/Vev49KpzXMs4Akb5V+6oGFX6AdKANHS47eC6LPJ50ixSHanCj5T/ABf4D8aom9lVSsGIFPUR8E/U9TUul/8AHxN/17yf+gmqVLqQvjZavP36LeKP9YcS47P3/Pr+dLY2qur3VzxbQ/e/227KPc/oM0admS4+y4ytzhMejZ+U/gf61Jq2LecafG2UtSVJHR3/AIm+mRx7AUPsErv3UVbu6kvLgyy4yQAFAwFA4AA7ACoaKACTgDJplpJKyL+mxiPzL6UDy7cfLn+KQ/dH9foDS6oWjWC3dsyKvmy85+d/m/PGKtGFY7yCwfmO0BluB23Yyw/DAX8Kyrq4e6upZ5m3SSuXY+pJzULV3MI+9Pm/ryIhRRmirNzR07/kHap/17r/AOjUqe0H2GykGMXF3C/J6pHtPT/eI/Ie9GgxRyx6l55xEtoGfnGQJYzj+lVkuXvNWaaXG6QMMDoo2kAD2AwB9KneVjD4puPYoUoYq2VJBHQg1u6fqeiQeFL6yvNNabU5Wzb3XaPp7/X1rBoTbvoXCbk5JxtZ/f5lk6hcP/r3E/b98A5/M8ijz7dv9Za4943I/nmq1FUaFkwW0n+oudp/uzLt/UZH54pGsbgDKJ5g9Yzu/lVelBKkFTgjoRQAmKK07f7Zdr5k4jeFTgzXA4H/AALqfoKm+16Rbttt4GaTHNwyhlB/2YyenuT+A6Ur9iHPWy1ZRg06aWNZZSsEB6SynAP07n8KlaawteLWI3T4/wBbONoz7ID/ADP4Cm3CT30xlN0Ltz3Lnd9MN/SqksMkLbZo2RvRhiiz6hyt/EyW5vbi7K/aJSwUYRBwqD0CjgD6VBSUtMtJLRGjbsNRtRaSti4iU/ZmP8Qzkxn9SPfjvxSgtpbi4EMa/OT37Y6k+wq3oiWUmuWi6o8iWhlHmmMEtj2xzmt/xaNOhu73/hHGLxMwS6k5z0H6Ejn3rNy5Zcvc45VuSt7JJ6q97aL5/oc9e3ESxizsyTBGcs54Mr/3vp6D0+tUaWkrS1jrilFWCiiigYdKvTc6La+00g/Rao1ek/5AcH/Xd/5LSfQiW6K1tbyXd1HbwLuklYIgz1Jp9/YXGm3j2t4nlzJjcuc4yM/1qGKWSGVZYXaORTlWU4IPqDTri5mu52nuZWllb7zuck8Y60yyOiiigAooooAKKKKACiipre1numKwRM+0ZYgcKPUnsKAukrstw51DT/s/3p7ZS0Pqycll/Dlv++qpRxPNIEiRnduAqjJNbFlp32UrcgSXM0bAhYBiND/tSHj8B+dWdQjeEkwXVrp1ncLu2xEkn1QlQScH1471HMk7I5fbKM+WPUs65HoE2kabHZ2/9m3UMeLx5PmaRsDooJ569dtZlld6XC7WfkyTQzHBmnbbtb+Ftg6YJ5GTkZqqy6VEoPnXV0/dRGsS/wDfRLE/kKj+12S/6uwU+hklY/yxUqNlYmFK0OTV/wBebuSzanqFpLJBC4s2UlWFsojJ9iRyR9TVAsztlizE9STmtm41I3Ngl3Fa2qzRERzfuQ2R/C3zZ7cH6D1p1vqF3awi6uZzbIwzFDbIsTS+/wAoGF9+/QeoabtsXCTS+FXI7B726gVbvEtlF8ubhS+wf3U759h+NbF/HI9yRoaXFjLsRiXjbMnygjDjp/u9OOprBvPEer3shabUbrbjCoJmCqPQDNJrFzOb5czSH9xD1Y/88lqXFt6mMqMpVE3Zb6dOn3l6fQNQu2IbTZ7e9HJUREJN7r2B9uh7e+U2kaiud1hdDHXMLf4UW+qXNuhj3+ZCxy0UnKn39j7jmtaOaz1qMJ9pNjeqMI0rHY/oC3+P5ntV5RNHKrS+Lb8jEezuY+Ht5V+qEVCVYdVI/Cr882qaZdNDJcXMEiHoJWH4jB/Wl/4SDWMYOqXjDGMNOxGPoTV6nQnJq+hnCrF/zeMf7yq35qDU51m7Y5lFvKf70ltGxP4kZqe71FROoksbV8xRk/IV/gHoRRr2C8u34mTRV03Nk337Hb6+XKQf1zT1XSZR80l3bHsNiyg/jlcfkaL+Qc3dMz6KvHTo3/49762k9iShH/fQA/WmnSL7BMdu8wAyTCN4A/DNF0HPG9rlOilKlThgQfQ0mKZYUUqqWbCgk+gFWBp12Rk27oPVxtH601FvYNCtRirX9nyD78sCfWUUv2SEfev7cewVz/7LVcj6iuipQCQcirggsB/rL6Qn/pnb5/mwpfK0z/n8uv8AwFX/AOOUcj/phcj+2tJ/x9RrP/tNw3/fXU/jmrsFxG1uIA4mgzn7NcHaUJ6lG6D9M+hquYtL7Xl1/wCAq/8Axyk8jTz9y+lB/wBu3wP0Y0cjf/DiaT3H3umGFTNbFpIQMkMMNH/vD+o4P6Vn1r2VxJZMpt9UtyoJ/dyK5XnrwVxyODWpa6BZa0jXUEqWphO64hjcMrLjOUJ5B4PB6dc4zhRpybsQ58nxbdzEtLJY7M6her/o4JWJCcGZ/Qew7mq13dy3lw007bmPA4wAB0AHYD0rc1bRNbns49SksSLHHlQCFg6oo7DH8655lKHDKQR2IrWonD3bafmXGz1G1f1JfMW2uhyJohn/AHl+U/yB/EVRq/Gxn0OWE8/ZpBMnsGwrfyT8qwfRilo1L+tTPNT2Wft9vjr5q4/OoKuaOu/XLFP71xGP/HhSew5/CyO/x/aNxjp5rY/M1Jp/72RrQ9LgbVz/AH/4f14/Gq9w265kb1cn9aYrFWDKcEcgjtVQdrMEvdSHxMYrmNhwyMD+Rp9+gj1K5QdFlcD8zUmoAf2g0ijAlAk4/wBoZP60mqf8he7953P/AI8auSsreY93cq0UUVmMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAs/8AML/7bf8AstVqs/8AML/7bf8AstVqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACip47OZ1DsojQ9HkO0H/GnkWkHUtcP3x8qD+p/SgCsiNIwVAWY9ABkmtH7Ey6Uv2iRIAJyTuOTyo7DntVVr2XaUh2wowwREMZHuepq3HCkOlM94D/rVKxg8t8p6+goAjhhtzkxRtIi/emnO1R+Az/M099WeBDFp58lTwXVdpb8B/wDXNUp7h59obCon3UXhV+gqKgAJycmiiigAooooAsWSKZ98qho4gXZT3x0H4nAqGR2kkZ3OWYkk+pqwB5Om5/juGwPZF/xP/oNVaACiiigAooooAKKKKACiiigAooooAKtN/wAgiP8A67v/AOgrVWrR/wCQSvtOf/QR/hQBVooooAKKKKACiiigArcsY0tdLuVI/wBIurdmz02RjB/MkfkPesywt0uLoefkQoC8pHXaOv49vxrQsfP1HUZ5mVY45YpFyeFQBDhR9AAMVEtdDCr7yt0WrMeporWSRPMbbHH/AH3OB/8AX/CpDJbQHEKee/eSQfLn2X/H8qgmnknk3zOXb1J6e1aHQTGW2g4gj85h/wAtJRx+C/41BNPJPJvlcs3TnsPT6UyikIdHK8MgeJijL0KnBFWd0F3xIFgl7Oowh+o7fUflVSigDRsIXhvnSQYLQyY9D8p6Gs81paJdFL6OGUeZEwYBT2JUjg9qqz22FMtu3mw55OMFfYjtS+0QvjZNpY2tc3P/AD7wM4+pIUfqwpk2bqzW4HLxYjk9cfwn+n4Cn6d81vqEf8TW2VH0dWP6A1XtJlhn/ecxONsgHdT/AJz+FC3YR+JkFX9MXy2lvWHyWy7gT3c8KPz5+gNVLiFre4aNiCVPBHRh2I9jXTQeGb6TwbZ6h8i2dze7XO75j/CvHfHz/mamcklqZ16kKcUpu13YyZFksNKYTIyT3p53AgiMHP6tj/vn3rLre8V+KbnxRfRS3MUcS26mOJYxjC5zz71gmnC/LeW4UPaOmnUVpPdbhRRU9lb/AGq8ihJ2hm+Y+g7n8qo2bsrs1rM/ZtEurYD95eW5kc452qylR/46T+VZVicX0Pu4H58VfhuvtmrXLhdqvbyJGn91RGQo/AACsuNzHKjjqrA1Md3czpppu/UawwxHvSVPeoIr+dB0WVgPpmoKo1CigVbtrAyx+dcOILcHBkYZz7KP4jRsriclFXZBDBLcSiOBGd26KozV3y7WwXM5W6uf+eSn92n+8e59h+famTX4SFrewQwQvw5zl5B/tH09ulUaWrItKW+iJ7q9nvHDTvkKMIgGFQegA4AqGkopmiSSsjUvbbTI9EtJbS5aS+c/v4+yf54qnFezxR+WH3R/883G5fyNV6KALIltZT++gMX+1Cen/AT/AIirmlpa2+pwzzJHf26k7oM7WbIIHB/OsoVesoI0ja8u/wDUx8In/PV+y/Tuf/r0Ck+VXLl15enXE10lsbeady1tC4wYIyeGI9cdPz9KzrK7+zXJZ8tHICkq/wB9T1H9R7gVI+p3M0jtcOJgxyVkG4D6en4U3NnN95Xt27FfmX8uo/X6UrdyVDR827G3tqbO6aLO5OGRx0dTyD+VVq2PsUt3pDCMrM9n8ymM5zGTzx14Jzj3NZHShaji21Z7oSig0UygFXp+NFtPeWQ/otURV69ymnacnZonk/N2H/sopPoRLeP9dCjRRRTLCiiigAooFXY9Mk2rJdOtrEwyGlByw9lHJ/lRsJyUdylirtlpF7qDD7LAzA/xHhfzNaMcFlYgSyxlUxlXuE3SSem2PoB7sSPr0qpf65dXqtGrtHEQFK7iSwHQE+nsMD2qOZvYx55z0pr5smay0zS5P+Jhc/b5QOYLRsKD6NIR+gB+tJceIZGjEVnaW1rApysapuAPr82cn361j0Yp8qerH7FN3nq/66E9ze3V4++7uJJmAwC7k4HpVmzBvLCe06vGDPEPXA+cD/gIz/wGqBqS1na2uop0+9GwYfhTa00LlH3bIjpO9WtRgFvfSIn+rOHT3VhkfoRUlnBFFCb28XdGDiKPp5rf4Dv+XfIL6XHzrluXNJ8nTmWfUl3RXC+WID/GpP3z7AgEepHpWdqBnOoTC7bdKrEMfp6e1R3E8lzcNNM25mOTVu9IurC3ux/rV/cTe5A+VvxHH/AfelazuZqLjPmfUoVc1b/j+x6Rxj8kUVTA5FXNYP8AxNrgDjDY59hTfxFv416P9ClRR2oplmvYatEbdbHV4vtNp0jf/lpB/un0/wBnpTb/AEVof3ti5uICu8YHzAdz7j3H446VlVe0/UntCEkLtDu3AK2Gjb+8p7Gpaa1RhKnKL5qfzRRxirF7zMn/AFxj/wDQBWld28Fz80rRxmTJiukXEcp9GA+63+enNUtUt5ba8WOZCrCKPr3+Qcg9xTTTLhNSKVFTQ201wT5SFgOp7D6ntU3k2luM3Exmk/55w9PxY/0Bq1FvU0KlWo7K6UB2HkKeQ0jbM+/NKNQeH/jzRbb/AG0Hz/8AfR5H4Yqq7NIxZ2LMeSWOSado+otWbB1QrGFvb59Q29I2jDge29+R+Apn9qaczEto0S+6SsD+uR+lZNJSuuisR7KJttcJKm3T9Va2BHMTxeSCfTKZB+pxVGXTb0KZdhmQcl423ge5IqlT4p5YJA8MjRuOQyMQRSbl3DlktmN780lXzqrzH/ToYbo93dcOfqwwT+OaURadcr+6me0lz92Yb0P/AAIcj6YP1qbvqPma3Rn0Vbm025ijMmzzIh1kiO5R+I6VVxTWuxSkpK6EooxVi2tfOzJK3lwIfnkxn8AO59qaTbsMW0tDcMS7bIUI3vjOPYDufQVd1HUHgaCzsibeO0beNjYbzO7EjuMYz7U2C65aeNfLhtRuhjz/ABngMfU98+3pWYTk59a1bUY2XUm13qb41a9v9N8m2uZB5eXksicxuBzuVegPUkfiPaouqNMuySUow+6Jh5sZ/Bgdv61mxSvBMksLtHIhDKynBUjuDV65jjvrc3luAsq/8fEKjAH+2PY9x2P1rLnkupCSg7dBJmEYBubKJlY8SQkqD9COP0q1pUVnc3D28UskMlxE0apKu5S2MqNw56gdqy4bmW3z5bfKwwykZVvqD1q1aXEKXkNxF/o08MiyJ3QkHP1HT3/CqlJtalTjeLSITp05yYgs4/6ZNu/TrU+ggr4j08kH5LmNj24DA/0pmq2jWGqTooKxiRvKYdGXPBB+mKt6XqMsl6WuwtxshlYM4+biNsfN1pPlaJk37NvyMh+WJ96bV3y7O4X91KbeTP3JeVP0YdPxH41DNaTQKGkT5D0dTlT+Ip8rSNLkl2N0FpJ/ei2n6hiP5Yo1T/kK3Q/6at/OtW7j0n/hC7GSGWRtQE7K6nOB0J7f7v51k6p/yF7v/rs/8zWlWPKlrvb8iYu5VooorAsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAsjnSz7TD+VVqsr/yDJPaVf5Gq1ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRUkUEk7ERIWxyT2H19KAI6VEeRgsalmPQAZNWfKt4B+/k85/+ecR4H1b/DP1pr3j+W0cIWGNuqoMbvqepoAcLRIubyYR/wCwnzP+XQfiaDdRxH/RYFU9nk+dv8B+VVaKAHySvNIXldnY9SxyaaiNI4VAWZjgAd6WKJ5pAkalmPQCrLyJaIY7Zt0hGHlHb1C/496AF/d2QH3ZLn6ZWP8AxP6Cmh2ksJ2dizGVGJJyTw1Vaswc2NyPTaf1oArGig0UAFFFFABQBkgDrRVmwPl3Hn/88B5gz/eH3f1xQAXx23PlA8QqI/xHX9c1WoJycnk0UAFFFFABRRRQAUUUUAFFFFABRRRQAVaXnSJP9mdMfirf4VVqzCc6dcr6MjfzH9aAK1FFFABRRSojOwVFLMegAyTQAlSQwSTsRGucdT0A+p7VN5EVsM3TbpO0KH+Z7f56U6NpdQuIrSPbGjuAqDhR7n1+poC6Suy67W+maQsYC3Fzdnc7chVQHhfU5PJ/3RVawvGfWLV7mT92HCnHAVTwQB24JqHUrhLi/kaDIhXCRA9QgGB+OP1qsOtJaozUbwafUfPE8FxJFIMPGxVh6EGozV/WW8zUmuc5+0qsxPqzDLf+PZqhTWqKi7xTCiiigoKKKKALWmSLFqtrI/3VlUt9M0jmWwvpUHyvGxRgeh7EEVWHWtDXD5msTz/8/G2f8XUMf50upG0wt2UTLdWagOmfMtyeo749Rjt2pl5ZBR9os90lq/3Wxkof7re4/XrVRHaNg6MVZTkEHkGun8K+KJdCvbi6s7aCW6niMbxyAhXGQcrjo3HSlK6V4kVueMXOmrvttcwmX7Tp4kHMlv8AK/8AuHofwPH4inafrF5p0sZhnk8pXDGEt8jc9CvSrCRxFzd2YYw4IuICctGDwfqPft39TnXMBtrhoyd2OjDow7EfUU9JIq0akbSRrahZWM104tXFu7nfCGP7uVD0wf4W7YORnPIxzjzQyQStHMjI6nBVhgir1qwvrX7DJ/rly1s3v3T6Ht7/AFpUb7fYvDNk3Fsm6Jj/ABIOqH6dR9CPSpWmjIi3DR9P6uZtaFiohsLy8bqqiCP/AH37/TaG/Eis+r1yfL0m0iHG8vKffJ2j/wBBqn2NJ9F3G6ScapAD/E238xj+tVWGGI96fazfZryGbGfLcNj6GpdSt/smqXMAO4RysoPqAetH2gXx/INQ5uRJ18yNGz6naM/rmqoGatyRPcRWgiUu7KUCgck7j/jU4eLSQPL2y33dxysP09W9+gouOUraLcRbWGwTzNQBab+C16H6uew9up9qq3V3Ldy75m6DaqgYVR6AdhUTMXYs5LMTkk96aaLdWJR6vcWkooplhRRRQAUUUoUlgAMknAAoAns7Vru42A7UUbpHPRFHUmnX92LiRUhXy7eIbYk9B6n3PU1PeEWFr9gjb962GuWU9+yfh39/oKzs0t9TOPvPm+4BRRRTNCxp921lfRTqWG087TjIPBH4jNWr9jBfSQ3UazgHKy/dZlIypz3yCDzWaKvzn7TpNvMTlrdjAx/2Tll/9mH4UnoyHpJP5ETW0UvNpMCf+ecvysPoeh/T6VBJFJC22VGVvQjFMNTx3cqR+WxEkWc+W4yB9PT8KZZAK6bxlqun389lBp+mpZNaQCOXZj52wPQDoc1lWUFrfX0Ma5hdnAKtypGfXqP881DqCyveSzyIdsrlgw5B59ahpOSfYwlTjOtGT3jf8dCpRRTkRncKgLMTgADk1ZuNqzbWEtwpkO2KEHDTSHCj/E+wqx9nt9PG69xLcfw26twv++f6Dn6U7E2obbi/m8m0j+VTjhR/dRfX/Hn1qW+xk53227/5D4GjSfy9IgM8qjJuJlHHqQvRR7nP4UktzFazGRZPt14xy88g3Krf7IP3j7n8u9V7i+3Qm2tE8i2zkqDlnPqx7/TpVLNCXcUad9Zf16/5D5ZXmlaSV2d2OWZjkk0yiiqNgooooAKUUlORGkdUQZZjgAdzQG2prxW66hptvNO+yOzzHM+Odmdy/ViSwH0FZ95dtdzBj8saDbFGDwi+g/n7kk1qARfYrrSYfmaKMzNIAPnkTlv+Ahd31xnvWFUx3MKWrbfy9BTW/wCEtFn8SX1xpFs0aNLCZFaQkBWUgg8fXH41z9SQTPbzJLGxVkIIINEk2rIutGU6bUHZ9H5k/wBkeDWPsjlXdJvLJXkEg44pl8/mahO+chpGIP410WhXNvpfjZb+4s0u4FikuRFJjaQY2buCMj+YrA1O7ivdUubmC3W2jmkZ0hQDEYJ6DFJNuRlTnKVSzWllr59iqaSlpMVodIClp0cbyyBI1Ls3ACjJNW/Jt7Rc3JE03aJG4X/eb+g/Omot6gLprTfvIxEJrZv9ajnC/XPY+hra1B7SxCJIG1Sz+VVJOBAcDIB65/IH3rnprqW52oxCxqfljQYVfw9ffrViS8a11GcBVeJzskiblXH+e9J2WxjOnfX+v+HHaiJzGjpMJrLP7sxrtVT6FR91v881mmtTmzU3VgRNZyjbJHIM7f8AZcfyP4jB6Q3FpFLAbrT9xjAzLEfvRH+q+/51PM3uOM7aP+vUo0UUUzUKKKKACiiigAooooAlt7me1mEttK8Ug6MjFSPyq2t7BdSAX9qmWODLD+7P1I6fpVOK3mmJEUTvjrtXOKuWulO5aS7dIII+XYuM+wA9TRy82hEopnWaj8P7N/OvPDeqrqOn20QeYg/vC3PyqAOTgD864u6uWlYR7fKij4SIdF9fx9TVqaSFnG68KIo2pHboSFHpzt/OpxqNldsqahbzXByF8/eBIP0+b8T+NW2lFRj833MacalONpvm/MdqWj3eleHrKa4RVS9cyAhgcgKNox+LfnWJXQ65LKhRIwt1Z24Ecbl2ZUOOeM/KeP071kfbpV+4kKem2Fcj8cZp1XFy9zY2pvmjcrBSxwoJPsKt2iXttOs8NvKcdQYyVYdwfUEcU06lfFcG7n2+gkIH5VXaR3OXZmPqTmsymrqzNK+0mZdlzbQOtvN90Nxsbupz6fyxTLfSJ5EMs+IoF4L5BJPoBnk0aSwmuPsMx2wXRCsx6RkdH/DnPtmo9TDRXjWuMR252IPX/a/HrTjpuRFtPkZ3niHwvHYeHtOuIARe6gisLeaUFZAFHbpnkfnXK2NhmG8kjCwyrAw8tpFxyQODnjr0P51U1e9urm308XFzLKiW48tXcsE5I4z0+6K3bLR7S/8ABmqa3cailvPhUEJAJkcEE9x14P50pTvTvJJPbQ4oydDDpVne7tp5vQ5l9Nuon2yRbT6Fh/jUkEV/bM3kK2GGGXhgw9COhqCO7YRiKdRNEOit/D9D2pzWyyrvs2L8cxH76/4/h+VNNrY9E2ILE32nLHJaTWz/AGkANHGWUlh3Hb7vb8qztYsrmHUJ5pYmEckrFXHIOSe9TaKCzRqTj/TrfPOMD581Wt9Xv7OQm2u5kDfeTedrfUdDW8mnBXIW5RorW+3C958xI5z/AAzIro/4sCQfr+YqrNK8UhS4s4Vb/dK/yNYuNtSynRWvpMujNegavA6QbT80bE89uKqzJpzzP5E08S7jsDxhhjPHOc/pUgUqKsfY92fKnhcf7+0/kcU17O4RSxhcqOrKMgfiKAIaKKKACiiigAooooAKKKKACiiigAooooAKKKKALMf/ACD5vaRD+jVWqzDzYXQ9Njfrj+tVqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooqSGCSdiI1Jx1PYfU0AR1LDbyT58tcgdWPAH1NS7ba3++ftEncKcIPx6mo5rqWcBWbEa/djXhV/CgCTba2+NzfaZO4XhB+PU/pUc11LMoQkLGOkaDCj8PX3qGigAoozRQAU6KJ5pFjjUszdAKRVZ3CoCzMcADvVqVltYzBE2ZGGJXB/8dH9aACWRLeNoLchieJJR/F7D2/nVSijigAqzbc29yv/AEzB/JhVarNn8zTL/ehb9Bu/pQBWooooAKKKKACrWPK00t/FO+APRV/xJH5Gqoqxe/LIkX/PKML+PU/qaAK9FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFWbXmG5X1iz+RBqtViy5mZP78bj/x00AV6KfFDJNJsiUs3tVj9xaY+7cTd/7i/wDxX8vrQAyK0LIJZ2EMP94jJP0HenNdLGClmhiUjBc8uw+vb6CoJppJ5C8rlm9TTKADNX9PHlQ3V1jHlR7FP+03A/TcfwqhV+ZvJ0OCEZBnlaZ/cAbV/LL/AJ0nroRPVW7lA0Cilpll64XztItpxyYnaF/b+Jfzyf8Avk1QNX9OYyw3NmeRKm9R/tpyD+W4fjVA0l2IhpeIUUUUywooooAKvXw32dlMe8RTPup/wIqjWhGBcaDMgPz20olA/wBhhtY/gQn50n3IlumZ/alzg5HBpKWmWaEFw80wmhbZepz04m9fx9u/87F7BHf6Wt9Zrta3Oy4hBz5YJ4Yf7OePbgelYwJBBBwR0IrY06+xeC5GPNwVuEI4mQjDHHc+o/Gl5kST+JbmfYXIstRt7l4xKIZFcoTjdg5xXZR3Gj+IvHdndzwxaNYXUJBSEAAPgjHAAyT7VymqWItZt8IPkuSACclGHVSe/se4INTabP8A6ITjMtlKLlB6rkBh/wCgn6BqznFS1Ry16Sqrni7OzX3/AIblbUbeCPWLq3052ngSZkhfHLqDgHj1FSa0rQ6ibVgV+zIsJU9io+b/AMezVuwJ0jxpA0O2TyLoFCw4Zc8H8RzVfxFrM/iDXbjUrpESSYj5U6DAA/pVK/Ml0saRlN1Ure7bfz9DMrT1GF72+ge3Qs1xBGQB3IUKx/NSaoQQyXEyxwqWdjwBWzfyra6JBDZyK5y0M8yj73Rtqn+7z+NNvVWLqSalG24ySVLHSWhspFeZJNs1wo6BgflQ+ny4J7/TrjVYtDujuIj/ABxEj6qQ38gR+NVqq1jSMUhaKTNLQWJiilpDQAUUUUxBWjZBbO1a/kGXzst19X7t9B/Mj3qpaWzXVykSnGeWb+6ByT+AqS/ulubgCFdkES7Ik9FHc+5OSfc1PkZy958pWJLHnkk5NJRRTNAooooAKv6Uwk+0Wb4IuIiFz2dfmUj3ONv/AAI1QqW2mNvdRyjkowb8qT2Jkm4uxEetFWtRgFvqM8S8qrnafUdQfyqr3prUad1c0NLAiS6vGOPIhITPd2+UD6gEt/wGqkNzLBkRthW+8p5VvqOhq1MPI0eCPo1w5lP+6Mqv67qseG9Gi1vWI7a8uhZWuCZLlgNsfBx19TgVF0k5MydSMIyqS2X6EFtbRalIY40MEgG4uOYwPVv7o9+anuMaXGRYfvCw2teAcHPUJ6D36n26UmstHZXlzpemyCS1hlKmVT/x8EHAY+3oKIGOijzZfmumHEB5VR6uO/8Au/nRe6uLm50pd9l/mQx2sVrELjUQ2WGYrccNJ7n0X9T29RXuruW8kDSnhRtRF4VB6AdhUss8N/M8lyzQzucmTllY+/cfhn6VBLbSQqGYZQ9HU5B/Gqt3NIx1vLcipKDRmqLCiiikAUUUUAArRsj9itXvyP3mTHb57NjlvqAePcg9qowxPPMkUYy7sFUepNWtTnV51ghIMFsvlx4785J/Ekmk+xEtXyiaVN5WqwMx+R22P7q3ysPyJqrLGYpnRuCrEH8KI3MciuvVTkVa1ZAmrXIXoZCfz5o6htP5f1+ZToooplm5DKJPDMkzH95bqbVf9123j+T/AJ1h1u2kP/FOy22P3lyHuUGOcRd/pjzf++aw8VMN2YUr3l6/1+NxBVi3tDKvmyuIYAcGRv5AdzUqW8dqgkvRlyMpADgn3b0Ht1NQXFzJcyAyHhRhVHAUegHatrKO5sSyXgjjaGyUxRsMMxPzuPc9h7CqlFFS23uMlt4/Muok/vOB+tFywkupXX7rOSPzq1o1nPeakotomlaIGUhR/dGf54FUWUq5VhhgcEHtUgT2l3JZyFkCsjDbJGwyrr6Ef5x1q0ytasuoaXI3ldGHUxk9UYdwfyI/EVm1PaXclpKWTDKw2vG3KuvoR/nHWk0RKN9V/wAOWZbaK9t2ubFdjrzNbjnaP7y+3t2rPrRkj+zNHqGmSMI8g8H5oW/un+h7j3yKJYI9Rha4so9sy8zQKOP95fb1Hb6dFexMZW9Py9TOoqyLFlP+kukC/wC2efyHNKXtIv8AVxvMf70h2j8h/jVGpXSNpGCopZj0AGSanFjIv+veOAf9NG5/Ic/pSPeztGY0YRRnqkY2g/XHX8ar5z1oAtEWUQ+9LO3sAi/1J/Sk+1hP9TbwofVl3n9eKrUUAWlku9QmSIyu+egLfKo9fQCi8nVgtvAf3ERO3/bPdj9f5Yp3/HnYdf31wOR/dj/+uf0HvVPrV7KwgzVyx/c77w/8sMbM/wB8/d/Lr+FV4oXnlWKJdzscAVPeSqNltA2YYc4I/iY9W/p9AKI6ajfYZbXktrIXjIIYYdGGVcehHep5raK5hNzYcbRmWA9Y/ceq/qO/qaNSQXEtrOs1u5R0OQRWbXUiUdeaO5FRV+5gjubf7ZaALj/Xwj/lmfUf7J/Q8emaKKzyKqAlmOAB3NNajjK6LcQ+z6e854aYmKP6fxH9QPxNSyYvtMEuP9ItQFf/AG4+x+oPH0IqDUGAuBApykC+WMdMjqfzzSWNyLW7V3XfE3yyJnG5TwRVT7LoTJNq63JdRP7mxHpbj/0JqtyfL4PiiOQzXBnx6rjYP1BqHXYRBfxxI+9EhQK3qMZB/WpbokW7W3aG0QfmwY/+hVMHe3mZxkpRi111/r7zHpclSCpwR0IpO9BpnQb+k3KXFvcNeDDKwfzlHzZCSYyO/wDOsea2eIBsh4z0kTkH/D8avab8ujak57BAPxDCs+G4kgYlDkMMMp5DD0IrWfwRJjuyKrUd4REIblfPhHQE/Mn+6e306UeVDcrm3Plzd4mPDf7p/oarurI5V1KsDggjGKyTa2KLE9oBH51q3mwdzjDJ7MO316VVqSG4kt5BJC21h+OR6Edx7Va8mK9XNsvl3HeEdH919/b8qqylsBRpySPGwaN2Rh0KnBFIRgkEYI6g0lQBZOoTSf8AHxtn95Vyfz6/rR5lpJ9+B4z/AHo3zj8D/iKrUUAWTaxP/wAe1yj/AOzINjf4frUcttNCu6SNgvZsZH51FUkNzNA2YZXQ4wdrYyPSgCOirX2+TvFb/wDfhP8ACigCrRRRQAUUUUAFFFFABRRRQBateba8H/TEEf8Afa1Vq1Ycyyp2aCT9FJ/pVWgAooooAKKKKACiiigAooooAKKKKACiijrQAU6OJ5nCRKWY9gKsLapCN14xT0jX77f4fj+VNkuyYzFAoijPUL1b6nvQA7yoLcZnbzZP+eSHgfVv6D86jmupJVCcJGDkRoMKPf3PuahFFABRRRQAUUUUAFFFWoEEEX2qVQTnESt0Y+v0FAC/8eMPB/0iQc/9M1P9T+g+tVCc0ruzuWclmY5JPekoAKKKKACrWm86jEn/AD0zH/30Cv8AWqtSW0pguopV6xuGH4HNAEdFS3SCK8mjHRXIH51FQAUUUUAT2UaS3kYl/wBWDuf/AHRyf0BqOaRppnkf7zsWP41Lb/Jb3En+yEH1J/wBqvQAUUUUAFFFFABRRRQAUUUUAFFFFABRRTkjeVwkalmPQCgBtXbCLybiG5uW8qJXDcjJcZ6Ad6aFhtMb9s0/93qifX1Pt0+tV5ZnnlMkrFmPc0AWbyUwSS2kK+VGjlWAPLkHue9U6s3x3XHm/wDPVFc/Ujn9c1WoAKKKKAFAzwOTV3VVMU0MDceVCgP1I3H+dM0oyrq1q9vF5sizIyoRkMQRwa3PGGpS+IfEk97dm3tVX92oDZ+VTgHAycmp15kjGUpe2jG2lnqczSVaLWcf3FlmPq5CD8hn+dIL50/490ih91QFvzOSPwqjYWzS6jnjuLeJiY2DBivy8fpVnUtMEV8xieKK3kAkiDyAlVPOPUkdPwqhJPNO26aV5D6sxNXIwt5pLJ/y3tDvXj70Z6j8Dg/Qn0pPR3Ilo1Ih+z2qf6y83f8AXGIt/wChbaQ/YU6efL7/ACp/jVaimWWPNtB0t3P+9L/gKPPt/wDn0H/fw1XooAsefb/8+i/99tV7S57d7s2/2UD7QjRcOeSRx+uKyaVGZHDISGU5BHY0nqiZLmViyZbbJDWrD6Sf/WpA1k3WOdPcOG/TAqbV9sl6bqMAJdASgAYAJ+8B7Bs1QoTuhxlzK5aMNm3+ru3U/wDTSHA/QmlS2dJFe2uoWZTkFX2nP/AsVUopjOnMb3FiJXhPkSARXSoNwiYfckGOgwSPzHesaEPpeqbLlSAp2SAH7ykc49cg07Rrt7a8KBsLOpjYZwDnp+taN7NNcaaJSwuDb/KfPUM3l59TzlTweehWk0ZSVn5MV7Vk1K1kch2hJidx0bauUb6FcY+lYCI80wSNSzscADua63RJ4r+12PbsT5bRN5bfdYIxjbB9ty9en4Vlvax6bCVtpka9kX5hJ8jwqe3XG4/XIFZxetjCnNqTj1/4cqzSLp0DWlsytO4xPKvOP9hT6epHXp06ttMT6VewH7ybbhPfB2kfk2f+A1Tlglhx5sbLnoSOv41Y0p9uoxq33ZcxN9GG3+tW9Fc3lHli38yKzcJeRFjhS2Dn0PFRSIY5GRuCpINDoY5GRhgqcEGrGofPcLOP+WyCQ/738X6g1RqVaKKKACiiigAooqxY2/2q7SMnC8s59FAyT+QoE2krssAmx0rA4mvBg8ciIH+pH6e9Z9WL66N5ePMRgHCov91QMKPwAAqvSRMVZXe7A0UUUywooooABS0+CCS5uEggQvLIwVFUcsT0FS32n3emXTWuoW8lvOoBMcgwRmi6vYXNHm5b6k+qN5yWdz/FLbqrY7FMp/JQfxqpawNc3ccK8F2Az6VZl+fRLc/885nX8wpq1pNqVsZ7okRh1MQlbpGv8bfXHygd9xqL2Rk58kP6+RFMh1PUJZd3lWsIC+Y3REUYUe5wOneoLu7Eyrb2yGO3jOVTqWP95j3NJeXizKsFunl20Z+Rc8k/3j6mt/SrbRLDw7d3eqTNHrQXfYwkEjkcMRjHfIz6Um+VbGU5+yipNN7JJa/P/N9DIAXSUDyBXvmGVQ8iAep/2vbtWc7M7FnJYk5JPc0OxdizHJJySe9NqzpjG2r3DNSQ3EkBPltgNwynkN9R3qOp0srlwCsL49SMD86ZRIBbXPAxbSdgTlG/HqP5fSoJoJIGxKhGeh7H6HvUv2GQH95JDH67pB/KrELQ26GOW9SWInJjWJmH15xg+4NAGdRWmYNNm/49GuHf/nlIVQ/gec/TrVZmt4nKNaOGBwQ8hyP0oAq0VZ+0xAfLaR/8CLH+tAuwOlrAP+Ak/wAzQBPYH7Lb3F7/ABqvlRcdGYYJ/Bc/jis+ti+vGtrW1tEigDBPNlzCp+ZuQOR/d2/iTVH7fL/ctv8AwHT/AApLXUzhreXcq1f1gYvwf70ELH6mNSf1qL+0Jv7lt/4DR/8AxNal611dT2/kW0Mn+ixlj5CYAC45OOOlD3CTSkm/MwaVVLMABkk4FbIWxjx9uuLcN3W2tzIV+p3KPyJrRsNGYwf2xDZpc6ZASTMiMp8wY2xsCeCWKDjPBpOSSJlWhFXbM7zzF4jtYQSYoCtvtHdejj8SzH8TVaVE0qV0bbJeKxBGMrF/i36D+VpbmK1uFWC2Mt87fPIjk7ST0X39T+A9ak1HS4xqtwZ0e3Uysd0k6jHPoRk1d1B26kpqEkpPoYTuzsWdizMckk5JptbBsdEjbEmrzOf+mVodv0yWB/Q10enab4X1XQY7GwRm1gOWeaaQqpXJ4/LH8Pc9aiU7dB1K3Ja0W7votvPW2hwlFdK+ivbztHcadBAqEgvJMxz7hR8x/Kq8t5pFoxQaaLlx1Mm+NQfYbiT9ePpS5uyH7X+WLf3FTSNQudMNxc2chjk8vYDgHqR6/jVaOzvLtmkit5ZMnJZUJFbEWvJb6Wxg0yyhZ5cB1QluBn7xJI6jpioWv31D95cwO69PNkuXwPxJp3l2Fz1L/CUf7JuwMuip/vyKP5mpI9EuZQSkltgdSbhAB+tTCXRY5MC1uZ29VlAUH2BXJ/HFXJtLgukUy6jLZgDhLyARog9grE/ktLmfUl1JL4tPl/kyKzs1sGLNd2lzvG2SATgIy+jE/wBPrmpZba7s5FudFmt44eCGimXcp/uMc5P8iKrjSdPRQYr8X7n+GAiIfm/P/jtOSX+y92/SGaCT5X852ZXH1GBn3FQ5PoZynKT9zV+n+bRIPDV7rDq+k2u+Z8+ZbowO0+o5+6f0PHpnGu7O5sbl7e8geGWM7WR1wQa24dbutAvYtR0SK3hRsiOZY8nHdTknB9fzqa98S6kQby3kgltrhiXjkt0YK/dWBGPoe4/GiLnfyJhPEKdrJx6bp37dTl6CK1o9bhJP2vSLGbJzlUMZH/fJA/Sth9Q8K33h2O0i0z7HqKvkzvIcMMnjcM+3UfjVOTXQ1nWnBq9Nu/a2hyFWLOBZ7gCQ7YlG+RvRR1/Ht9TWjNpNqIw/ny24Jxukj8yIf9tEz/6DRJpVzb6dtgUXDzncxgbfhB04HPJyfwFawabuaqrBrcy7mY3E7SkY3HgDsOwqLFKQRweKuQqLKEXMoBlb/Uxtz/wIj09PWmryZrshX/0C3Mef9JmX5/8Apmp7fU9/b8ao0ruzuWclmY5JJ6mim5X2BBSUUtQBNaXLWk4kVVdSNro3R1PUGrwt1s7hryEkwiPzIGPYk4H4g/yrLrbhPm6Kuk8mWXN1GPRugUD3UE+/y1S0fMZT918y+ZiHmjvRV/RtO/tPVYIGbZG8iIzD/abAA9yaW5o3yq5tzaWusT225/IMMkdpI5XqCBtIHcj5gfQYqg99Z3V5qEi2ZWJ1Yj94dwXcMD04GO1XbO9fVNe1KVMRpPHJFCg6KznCAfievvmsG1G2K7JHSLH/AI8KdJpSsjkoxavF9LfiR3UAglARt8bAMjYxkf41Aauk+do/P3reXAPqrA8fgV/8eqkackuh2Gnats8M6iT1eeBR/wCPn+lZlaTxeV4Yhkz/AMfF24x6hFXB/wDHzWbVVNkvL/gkrqFWlullRY7xSwAwsgHzKP6j2P6VVorIonmtWiXzFIkiJ4kXp+PofaoAcHNSQzvAxKEYIwykZDD0IqfyY7pd1qNsveEnr/unv9Ov1oAkEiagNtwwS5/hlJ4k9m9/f86pSRvFIUkUqynBBpMbWIPBFXI5Uu4xDcttkUYilP8A6C3t79vpWnxeotilRT5onhlaOVSrL1BplZ7DCiiigAooooAKKKKACiiigAooooAKKKKALOn/APH9Gv8Afyn5gj+tVqmtW2XkLDs4/nTJl2TOv91iKAGUUUUAFFFFABRRRQAUUUUAFFORGkcJGpZj0AFWPLgtR++xNL/zzU/Kv1Pf6D86AI4bV5V3kiOLODI/A/8Ar/hUpuY7c4slIb/ns4+b8B/D/OoJriS4bMh6DCqOAo9AO1R0ABJJyTknqTRRRQAUUUUAFFFFABRRQBk4FAE1tAJpfnbZGo3O3oP8aS4n8+XIG1ANqL/dHYVLckW8YtU6g5lb1b0+g/nmqtABRRRQAUUUUAFA60UUAWL/AJvHYdGAb8xVerN2NyW0n9+EfoSv9KrYPpQAUUu0+h/KkwfSgCzKRHp0KD70jGRvoOB/7NVarN9xMsf/ADzRV/Sq1ABRRRQAUUUUAFFFFABRRRQAUUVZjt0ijEt3kA8pGPvP/gPegBkFs0wLEhI1+9I3Qf8A1/apJLlY0aKzBVG4ZyPmf6+g9h+tRz3LzkAgKi8Ki9FqGgAooooAszDfYW8noWjP4cj/ANC/Sq1aFnayXFjcK2I4xiQSPwMjg/XgnpUPm21uf9Hj85h/y0lHH4L/AI5oAZFaSyrvwET++5wPzp5FpBxk3L9yPlT/ABP6VBLPJO5eZ2dvUmmUAa2k3sravaKoWOJZldo4xtBAOefXp3rKYkkk8nrV3RxnUl9kc/8AjhqietLqQvjfov1FpKM0UywqezuTa3SShdwHDKTwwPBH4ioKM0adRNXVmWr+2S2uj5DF4JBviY9Sp6Z9x0PuKq4rRtCL60NkwzMuXt29T3T8eo9/rWd0pLsTBvZ7oKKKKZYUCiigDQQC60Z0z+9tW3gesbcH8jj/AL6PpWfVmwuFt7tHkyYzlZAO6ng/pTb21azvJIGIbYeGXow7EexGDS62IjpJr5kFFFFMsOnSt20vIxexSXRxb3g2znH3WxtZv1yfr7CsKtXSbdby3uI7gEQQjzi47Efwj3YfypO1tSJ25Xc6fwYbbw1rF2mswCSeYNbwKcFQVOS59sqBn61ymvQG31q4XBUO3mBSeVDDdg+4zj8K2ZpzqupWV2VCyfZ1XywT9wAoMZ9MfrVnxOLDVfDekX2k2tw90kfk3spXOWVV5wCep3c8ZrBaT5u55kP3WJVR7zVn2Vr2/L7zkYbqaDIjc7T1U8qfqDwalWW2kP72IxH+9D2/A/4iqtFdJ6xr6vaNcXIvbUiaO5QSsU6huj8dfvAn8aov+801G7xSFD9DyP5GrEeZ9FYoT5lnJv4POxuM/gwH/fVOtLz7SZLe8TzfNQgSZw+RyOe/THPrUx7EQ0VuxmUVZaz3rutH85cZK4w4+o/wzVamWFFFFABWhCfsmjyyD/WXTeUp9EGC35naPwPrWeOTx1rQ1cLDdJaJ0tYxG3+/1f8A8eJH4Ck+xEtWkZ9FFFMsKKKKACiiigCa0u5rG8iurVtk0Lh0bAOCOh5qfV9XvNc1KS/1KXzbiQAM20DOAAOB7CqVPhhknlWOFGkdjhVUZJNKyvcjkhzc7WvfyNPTrGfU9PNvbjLCcEk9EG1iWPsAtN1fUkuRFZ2SeVZWw2RjvIe7t7k5PtnFbslr/YfhW5tftKQ3Fy8f2hicnYQ3ygDnt+PPYisCygtJ7jaqSPGg3yyyHaFUdTgfl16kVnHVts5abVSUqj2T0/z/AMhtjAkUP2y4TfztgixnzH9T7D9eB64jltrqeVprohXcks0rBST+NS3usXFzJiDFtAq7I44Rt2p6ZHJ9TnqSTWcSSck5rRdzqin8T3LRhtYx+8uWlb+7EnH5nH8jTfPt1/1dqG95HJ/liq9FMstf2hcKMQlYPeJAp/Mc/rVd5XkYmR2YnqWOabRQAUUUUAFWVu/MUR3amVQMK2fnUex7/Q1WooAsSWhCmSBvOi65Ucr9R2/lSWcH2m+hhH/LRwv5mo4pZIZA8TFGHQg1raY8ErXVy6rDLFbvtYcIzN8g+hG7P4dqT2Jm7RdjNvp/tN9NKOjOSPp2qDrUzW0yzLEY23vjaAM7vp61d/daTjGya975GVhP8i36D3PQ20Qm1FKKGJZRWsYm1IspIzHbrw7+5/uj9T+tWNdvZJTbW6YigS3jIiThQSuc+556ms6OO4vbghFeaVyST1J9Sf8AGtbVRZ2l4vnMLqdYYlMS5CRkRqME9zkdBx71L31MZWVRX1eplWtjcXZPkRkgdWPCj6k8V2dvfR6B4aOg3N+039oEyERnEUODwN3U5ZcEjHTv3wY5rqWaCJmAnf8A1caABLZO7Y6A4yc9R161mahci6vXdM+WuEjB7KBgfoKqUej3IqU3XajPZa/5GhHNqH2xbKCIWYY/OsK7cr3LN1K455OKzb2X7RfzSKdweQkH1GeKsWsuo3dsbSK6mFqvLq0pES+5HSl+1wWDY08CSUcG6deQfVAen1PPfipWjNYrllotf63Gx6cIlEmpSm2TGQgXdI30Xt9Tj8aUan9l/wCQZCLZu0xO6T8G7fhiqLu0jlnYsxOSSck0RxvK4SNSzHoAM1Vr7mnJf4tQaRncu7MzHksTyauW0986FY5WMS8HzSCi/wDfXFM8qC2/1xE0v/PND8q/U/0H51LbQXWrzJGCqQqQuT8sceT/AJ9z70y21Falu5ubaFba3+yxXcyqGZlBVSW54Axnjb+VLLb2hYSaxcT27AYW3jxI30xwEH5n2NQ3mpRW9xMulAqSSpuT99h0+X+6MenPvWUSSaWrM/el5I1zPJENukNbxcffifEp/FsEfhisyeKeNs3COpbkFh1/HvUeKlhu54AVikYKeq5yrfUdDTskXGKjsQ5qe2vbqzfdaXEsJxgmNyuR6cVYjR7tHk/s9pFjGXeBSNvuccCo/ssMozbzbW/uTDafwPQ/jiloxe7LQuW+to4aHUbOGaCUjzDEgjYY7jbgZ68kVaFrZW05SK5JguF/1U42rImeCrjjII7gYIxzzWJLbTQjLoQv94cg/jVmynjki+xXrbYGOUkPPkv6/Q8Z/PtUuPVGM6S3j8xupabNp1wVkBaJuY5QPlceoPSqdbdhd3Nr5mk3EiqpJMay4aPeexB4w3HPY4NVmt7W5keP/jwulJBjcny2Ppnqp+vHuKFJ9RwqSWk/v/Ui0uSdL1fJnaFesrA8BB1yO/HbvViS/tL+7aSeI2bk/LLbjhfTK/4Y+naori3k02z8qdSk9x82D2jHQ/if5e9RQQJFELm7GU/5Zx5x5h/wrblTVkVyxl7xruJIrf7XrEMWoQZxFMhw0h9Sw5x/vDPas+4tPt7tPYz/AGhm5aFhtkX2A6EfT8hVdNSuY7pp0kwzDay4BUr/AHSp4I9qmEdtf82uLW66iIt8j/7pPQ+x/PtWb0VlsRyyhr/w33f5GeVwcMMEdRRmtJ7hbmUwawjRzr8v2gL84P8Atj+L69fr0qndWktqw3gFGGUkXlXHqDQmaqd3ZkGKM0UUyya2ga5uo4V4LsBk9B71JNdn+0fPtmZNjgxEHlQv3f5CltP3VrcXB4+XylPu3X9M1UxVvSNu4t2X7+Ayaipt4+LoCSNFH97sPxyKuWMy22oKkLfJZpJKXH8UoQ4Oe43YA/8Ar0KdnhhLgjFxFI0UZzz5b9Tj2IYf8CPpVXTone3ujEpaRwkKAd2Zhx+hqH7sLdTBu9Np9NBXf7Ho8GwkTXExmY+irwhH4l/yFS3qjzL+VAAsyJIMcAbiDgfrVTU5Fa+aOMho4QIlI6ELxn8etXp1D+FYbkfe80W599u5s/k6j8KIb39fyGk1aXcoWvNndr/sA/kwqrVmy+5df9cT/MVW6mreqRt1NfUz5eg6Tb5+6skuP94j/D9Kx61NcO2a2h7wwBD9cnNZdVW+IUdgooorIoKAcHiiigC2Jo7rC3Z2ydBPjP8A316/Xr9ahmheB9sg68gg5BHqDUVTw3JSMxSr5kJOShPQ+oPY0ATQut5EtvOQsijEUpP/AI6fb09KqSRvFIySKVdTgg9qmmt9qebAxkh9ccr7EVMuNQhEbf8AHzGuIz/z0H936jt+VafErdRbFGig8UVmMKKKKACiiigAooooAKKKKACiiigBVba6kdjmpr5dt/OP9s/zqCrN/wA3Cv2eJG+p2jP65oArUUUUAFFFFABRRSqrOwVQSScADvQAlTwWpkXzJW8qHu5HX2A7mpPLhtB+/wASzf8APMH5V/3j6+wqCaeSeTdKxJ6D0A9AOwoAle6CxmK0Xy0PDNn5n+p/oKrUCloASiiigAoooAJOByaACirAsbg8tGUHrIQv86d9lgjGZ7tP92JS5/oP1oAq0VZL2a/dilk93cD9B/jQLwJ/qbaBPcpv/wDQsigCBEeRsIrMfRRmtC0sbiCN7p4SpQ4jD8fN68+nX8qri7vLllhE0h3HAjU4XP0HFJezBpFijOY4RtU+p7n8T/SgBfsZLEy3MCZ5JL7v/QcmjyLRfv3bN/1yiJ/9CIqrRQBZJsl6JO/uWC/pg0nnWw6Wuf8AekNV6KALH2qMfds4fx3H+tL9ucfdht1/7Yqf5g1WooAtf2jcD7vlL/uwIP5Cj+0rztcSL/unH8qq0UAab6levpcf+mXGYpWB/et0YAjv7NVX+0r7/n8uP+/rf40kHzWdwnoFf8jj+tV6ALH9o3v/AD+XH/f1qsWV7eT30ETXtwFeRQx81uBnk/lWfVmz+UzSf3Imx9Tx/WgCSbVr6aZ5Ddz/ADsTgyE4pn9oXP8AE6sP9qNW/mKq0UAWvt8p+9Hbn/t3QfyFJ9rU/etbc/8AASP5Gq1FAFnz4D960X/gLsKN9oesEi/7sg/qKrUUAWdli3/LWeP2MYb9dw/lR9kib/V3kDezBlP6jH61WooAsfYZj9zZJ/uOD/WmmzuQQDBJycD5DzTYYZJ32xLk9TzgAepParYvWsMpYTOJDw06sQT7L6D360AR4isx8wWW4/ukAqn19T7dPrVaSR5ZC8jFmY5JJ61YOoTP/rvLm9TJGCT/AMC6/rSGe3f79qq/9c3I/nmgCtRVoR2Ug+WeSJvSRMr+Y5/Sp49JYDzJZY2jIyojYbn+gOCPqRQBRihkmbbGuTjJ9B9asf6PajgLcSjqT9xf8f5UXTzrGIjE1vDnITBAY+pPc1UoAtwXTS36NcyZVvkYnoqnjge2arSxtFK0cgwyEqR6EU2rN787Rz/89UBJ9xwf5UAVqKKKAL2j/wDISXP/ADzk/wDQGqietXdGG7WLdB/G+z8+P61SPWl1IXxv0X6hRRRTLCiiigBVZkYMhKsDkEHpWheL9ugOoxgeZn/SUXsx/jx6H9D+FZ1WLS5a1nDqA4xtdG6Op6g0muqJknutyvRVy9tUjCXFrua2l+4W6oe6n3H69ap01qNNNXQUUUUDCtCRftmlLMDmW1+Rx3KH7rfgeD9VrPqxZXP2W6Duu+MgrIv95TwRSfkRNO11uivRVu50+WK+MEAM4b5omRc+Yp6ED/OKlXTUiGdQukt8f8s1HmSH6AcD8SKLoOePcpRRPNKscSlnc4UDua2zZ3sYgXT7aWe1gk+edUPlySfxfN0x2Htz3pIp7HTLIXNvbNJcSkpEZ26JjDNgYx6Dn1on8XanP4dOikwx2RcPsihCHOfUVDcm9Ec85VpyTpx0T6/iwnmi0/xNaC3k329sYwsnZ16k/Tk10Hh7Vbnw/wD2rp9mqHzm2jeuSqtlDz6hygrjXHnaakg6wt5bfQ8r/wCzV3+ntoUK3Q1Iyyazcxfa7UbDsUtGGKnnn5gT+FZ1UuW1rnPjoQVLllHmv+j3/U83YEMwPXNNpzktIzHqTk0010HplzTJVjvVWQgRSgxPnoAwxn8Ov4VEyyWd4Qw2yQyYIPqDUFaGon7TDBfY+aRdkuO7qAM/iMH65pbMjad+5BeJ9nvG8piFOHjIODg8inG6juf+PxPmP/LZB831I7/zpJP3unxSdTE3lt9DyP61Vplk01q0S71IkiJwJE6H/D6GoakhuJLdy0bYyMMp5DD0I71P5UV0M2+I5e8RPDf7p/oaADS4/M1SDIyFbe30Xk/yqvK5kmdzyWYk1d01Xiku3IIMVtJuB7ZGz+bCs+l1IXxthRRRTLCigDJ4qytkVG66cW6+jDLH6L/jigCtU8dnLIu/ASP+/Idop/2mGH/j1hyf78vzH8un86gllkmcvM7Ox7sc0ATkWkPALXL+v3U/xP6VtabKbHTH1G4CwxsCkMcY27z0+p78k8YJ64rI0vTpNRu9i/LEgLyyHoiDkn8qk1nVP7Tul8qPybaFRHBCP4FAx+J9TUPV2MKl5v2a+f8Al8xzTyXWl308x3NJcRZ/J6Zcg2Wnx2vSWcCWYeg/gU/hz+I9Kn0uAT2LrIP3f2hXc/7KI5b9Kzrmdrm6lnk+9IxY/jQt7BFJycVsv8iGiiirNwooooAKKKMUAFFSw2s9y2LeGSU/7Ck4qx/ZNyp/fGKH/rpKq/pnNK6RLnFbspUVoGxsowDLqsLeqxRSMR+YA/Wgw6Qv/L5dv7C1Vf8A2c0XFzr+kzPrqNK0/SrjwPqM09066mZ1S3t1H+sxjA/8eP5VjhNKJAV7wk9PkX/GtySPT9L0aKCO6uUubiRwzJbqzRjCgr98cnPOPcetZzd7I5cRLmUYq6d1+Gv3GYL4aRCbWFhPKwIlk/55Z6rGexxwW78jpyY49IEkP2xpWS0xu5XMh9QF7/Xp646Vcj0vS7ScLPqMbTNjbFPEyhP9/bu59vzq14n8PT6VqsLWusQalJJGJBJE6oU5wFA3dOO1HPG9g+sU1NQvZvq09bGTbvNqV1BpelxCBbmVYwoPzSMTgbm7/Tp7Vd8QaXNoevXY1ONfNjceVGGBDEgEE+wBHH4U7SNMmutYhe5heyMJ8+SYLtQqg3HnscDjHGfSqN215rWuM1877jyzSMT5cYHXJ7AfnWkfdlzdCtVVvFrlS1739SNXe30+S6kJ8+8yiMeuzPzH8T8v/fQqG1s1kiNxduYbZeNwGWkP91R6+/QfpVpxFcu17dbks4x5cEQ6vjoo9PUn69zVG7vJLuUNJgKo2oi8Ki+gHalqzSN3t8/8h93etPGsMSLDbp92NfX1J7n3NVKfHFJNIEiUux7AVZIhs8fdnn790Q/1P6fWqSsbKKSshkdphBLct5UR5HGWf6D+vSla5LKYbSPy0bqF5Z/qe/06VOLbcv2vVpmRX5VAMySfQdh7n8AasWVyW3/Ztthaxj97NHzIw/u7uuT0wMD14pOViJVLfCNs9CmcedqBFnbAnLynaWI/hAPerglsF3MbxjDaoTFDawnaGPAJZipLZOc4PT0FY19fPeyLu+WKMbY488IP8fU0MPK05QeGmbd/wEcD8zn8qSTerJjTnJ8038iTz9OU/JaSv/10m/wFH2+3TiPTrcj/AG2cn+YqjRT5UX7Nf02Xxq0if6u1s1+tsr/+hA0v9t3n8P2eP/rnbRr/ACWs+inZB7OHY6HTfG+taXZ3ltb3AK3aFGZh8ycEZU9jzWb/AG7q3/QTvP8Av+3+NUKKlRinexEaFKMnKMVd7mnH4i1aPP8Ap0rgjBEp3gj0IbOak/t1ZwFvrCzf/ait0jP47QM1kUU7Iv2cOx00f2PWIRCsMclxGmIBG5jdhn7hDZyfTBPp6Cj+z7HV8z/aHtJbZR9rS5T7y9AQR36DkDkj3rnoIpppgtsjvJ1AQEn9K69r1rSyW5uF85k+W8t5B/rSRjg9QvJzj+L8MONO3vdDlqQ9m/cf9dvn+Zn7Zo7dp9Zt/PsC37pY2zjt8jDOB69jj15GVqUMhkFwHE0EnEcijAAH8OOxHpV68Yx3/wBo0+7kg8xQ0KucKydNoPTjoQRjiuj8N3llock9z4g0+HfLGA1uUzFgkYZ1wQPbA9ePWKlRpXWv6kVKkqEPaRjzPsup5/RV/WbJ7PUpOEMUpMkTx42MpPGMce2O1UKpO6ujuhJTipLqaEV3Fdxrb6kcbRtjuQMsnoG/vL+o7elKHl05mtbxPOtpPm2g8H0dD2Pv+dZ2au2t2hh+y3u5rYnIKjLRH+8v9R3oasRKFttu3+Qy8s/ICzQt5ttJ/q5MfofQ+1Va0F3aZM8FwontZlBO08SL2ZT2P/1we9L/AGcqahGrOWtHBkEoH3oxyT9eMY9aI6uw4z6Mju28m1t7Ufwr5j+7N/8AWC/rUNrB9puFj3BF6s56Ko6mmXExuLh5W4LsTgdvarJAtdPC/wDLa4GT/sp2/M/oB61tvK/RF9DZ1bXz4kublzbpbotrtRE7hX3Z+uDUFgVsdAF4pKzeY7j2IAWMj3BaQ/8AAaz9HG6/MfeSGVB9SjAfrVzW5VgsNP0+LGY4Fkmx3ZuQPwB/NjWNWcqk7vqcslaaprr/AF/kYp65rZXa3g1o8fOLrzs+i4C/zNY1a6f8eMkHpZhv/Im7+tVtFs3qbIo2fEV0f+mJH6ijToVn1K3jf7jSLv8AZc8/pRbcWN23+yq/mw/wp+lhjcSFBlvKcD6sNv8A7NWsVdxRTdkxdXkMmoZf72xSfqRk/wA6o1Z1Fw+pXDKcr5jBfpnj9KrVFR3k2NaIKKKKgYUUUUAFFFFAEkMzwPujPsQRkEehFT+UtwvmWfyyLyYc8/VfX6dfrVSlVirBlJBHIIPSgC5cD7bAbpP9cv8Ar19f9v8AHv7/AFqlWjbXAmnEnyrc9933ZvUH0J9e9QX9r5EwZFZYpOVDdV9VPuP8Kt+8rgVaKMUVABRRRQAUUUUAFFFFABRRRQAVauTvs7Rh2RkPuQxP8mFVasn5tLH+xKf1A/woArUUUUAFFFWY7ZUjE12SqH7qD7z/AOA96AI4LZ52OCEQfeduFWpWuUgVks8jcMNKeGYdwPQVHPctMAoASJfuxr0Hv7n3qGgAooqWK1lmXMaEr/ePA/OgCKirXkW8S5nuN7f884RnH1bp+WaQXaRf8e9vGD/ekG8/rx+lAEcVtNMMxxsV/vY4/OpRaxR83Fyi/wCxGN7f4frUM1zNO2ZpXc/7TdKjoAs+Zap/q4Gf3lb+g/xpTqE6rthKwKeoiULn8RyfxNVaKAFLFjliSfc0maKKACiilUFmAHJJxQBZt/3FtJcDhj+7T6kcn8v51VqzetiRYF+5ANn1Pc/n/Sq1ABRRRQAUUUUAFFFFABRRRQBZsBvufJ/57K0Y9yRx+uKrU6KRopUkQ4ZGDA+hFSXqCO9lVBhdxK/Q8igCGrEXy2E7f3mVB+p/pVetrUdImsPDdhcu8ZW5kZ8KTu5Axn6YP50AYtFFFABRRRQAUUUUAFTW9uZiSWCRr9+Rui/59Kdb2wdTLOSkCnBYdWPoPf8AlTZ7kyhY1GyJPuoDwPf3PvQA6a5HlmC2BSHOTn7zn1P+FV6KKAClRGkcIilmY4AAyTVvTtJvdVeRbCBpjGu58EAAfjSPKlqGjtjukIw8w/UL6D3oAMRWYG/bNcf3SMrH9fU+3T61WkkeVy8jFmPUk02igCaK6nhz5crqD1GeD9R3p5u0k/11tEx/vINh/IcfpVaigCyEtJvuyPA3bzBuX8xz+hqyllNNYSRx7ZjEfMQxMG4OAwx19D+BrNqa0mEFyjtnZnDgd1PBoAiZSrEMCCOoI6UlXJrieCVoJytwqHA8wbuO2D1A+hpoNnLwyyQH1X5h+Rwf1oAbYT/ZdQt7j/nlKr/kc0uo232LU7m2/wCeMrJ+RxSmxc827pcL6xnn8jg/pUutBjqJlYEGaNJDkclio3frml1I2mihRRRTLCiiigAooooAtWd59n3xyr5lvKMSR56+hHoR2P8AjReWf2dg8T+bbycxy4xn2I7EdxVXNWrS9NuHikXzbeTHmRE8HHQj0I9f8aXW6IaafNEq0Vcu7ERxi4tWM1qx4fHKH+6w7H+dVMU9yk1JXQg61oLYxW0fm6lIYyfuW6j943uf7o+vPtTodmmWyXBXddyjdED0iXs2O5Pb061nu7SMXclmY5JJyTS1ZGs9tjaj1F77TpLG2UWpjBaJYjzIvUox6n1HbrxzWZZW32m6COxWMAtI391R1NQRyPFIskbFXU5UjqDW5qACaOLm3iEb3pDXIUY8sdQAOysfm/AelS/d0XUyaVJ8sev5mVfXX2y6LhdkYAWNB0RRwB/nr1qsaXvVrT7Jr68jj5WPcPMk7IueSTVaJHQ+WEfJFjQYRdakLWUEwzjEmOwHzZ/StKe6kFumu3Hy3LvKkS7erEk7voNx/H8a6IJ4Q8G61JbXUkur280I3eUBuQ5BAJyMdOg/HpiuYup21Rr3dk/aUW6hAH3WXIKD0ABYAD0WsVLnd7aHmwrfWJc6i1FW1fW+/wDwTHu0VZFki4jlG9R/d9R+BqvWrBpd5cWLxtbuhj/eIZBtBH8Q5/A/gahXS1H/AB839pb/AFcyf+gBq25keh7SN7XKFX9OYTxzWD8icbo/aRen5jI/H2o+y6avEmoyMfWG2LD/AMeZaciaXG4dL283KchhbKMH/vuldNEykpRsvyZBZ8yPbt0mXZz2Ocg/mP1NViCOtdLc6Va3ckN/Ab+KO6+fK2i7VYHDHO8ADPPtnHatew8CW+ufa7201FWjhj82QOhjQHncNw3ZwQTgZ4I5qXVildmM8ZRpw55M4LFTw2lxPzBBLJj+4hNd0mgWtv4VfWtMurCZVfYVA2NnIHytICc89fl6d6yXTV7iPzbixHkAf6+4mkZQPru5/AVKqp7EQxsKjfJ0dtdPwLfhvwzqOtaPrMkyeSYbUIJJlYMfnVsdOcBD+lchc2s1pL5c6FT1HoRXS2M+kl7mE3E4lkgdc2ittOBu43sD/D6VYsygs2ZdWvLnTcZZZYFk2Y/6Zs38sihSlzO5MK1RVJOeztbR9jjMVYWz2rvunECdQCMs30H+OBXRy2+nHZJYNbyCTgXEX7uQH/rm/wAoPsp+hrD1HS7mzYySkyxn/lqAe/qDyD9a05lex1xqxb5XoyD7WsPFnGIz/wA9G5f8D2/Cq5YscsST6mkoqjUKsWlpJeS7Y/lVRud2+6i+ppbSye6JYsIoU5klb7q/4n2p91eK0ItbRTHbKc8/ekP95v8ADtS8kQ5NvliaD3cdvolxFZKVhkcRB2HzSd2b2PAGOwJHc1iGr1zxotkB03yE/wDjtUKUSaUUk35/8A34YZrTwbNdPE6pcy+VG5UgHPUg/wDACPxrBzXU6nqt3P4FsdKm2iO0ZJAoXBG/zCM/hg/jXLUqd3dsyw3O1JzWt393T8BKKKVUZ2CoCxJwAB1qzqEp8UMk8gSGNpHPRVGSauixhtF3alIQ/wDDbx8uf949FH5n270yXU5DCYLVVtoT1SLIL/7x6n+XtSvfYz5m/hHrp0UC7tRulhP/ADyjHmSH8Og/E/hSfbbWA/6JZIT2e4PmH8uB+YNUc0lFu4+S/wATLdxqd5cqFluH2D7sa/Ki/RRwPwqrmkop2KSS2FJzSUVp6RpZvWeeb5bWAbpHJwCey5/zx+VJtLVinNQjzSNg+Fb3RdDsNZPlTyagP9FiXJaPjO4gjHA6c8ZzVS+nXS9NsY7V1luXSR2uAPukuQdue/y/e/L1qrqWrmXzIbR28p8B3PBcDoAOyjAwPYVDqP8AyDdKx/z7v/6OkrOKlvI46dOo7Oq76/hZlAnJyTk0qgswA5J4AFNq7aYtoWvGGWB2wg/3v734fzxW8Vc7r2NO2vJdKsLtbWeRJFjEbOjkZkYjI+gUMPqTV6K8iGnmHWYInQrvuHhURyIOqxjGBuJGSMY6Z5BqpY2OzTLV5l3NK7TKh6MRwC3oAAzH2I9ay9SvftMgjiOYYySD3dj1c+5/QYFYyanLQ4eVVZtLvuX9QtrfUMT2N4FjVdsUEw2hR2UMOAe5zjJ55zWadNnibN0pgj6+Y44P09fwp1rmyAnnOFYcQ/8APUe49P8AI9atrqE8ykWe0xYw1i6hkA9VB/n97371aTWx1KMoK0dihJcqsbRWqmOM/eJ+8/19vapoIY7O2W8uow7P/qIm6Nj+Ij0B/M/SrNlZWOpyswY2flDfKjnKMPRWPQk8AH86o6kZ2vnN1EYm4whHCr2A9sUr3diefnlybdxii41K+xlpJpW5JP6/QVLfXMeFtbX/AI94ScEdZG7sf6eg/GpADp+mBs7Z7xSB6rFnk/8AAiCPoD2NZ1NalR1d+iHIhkkCKMljgCprxw1yVU5WMBF+g4/+vTrM+Sslz3jGE/3jwD+HJ/CqtM1FNJRmigQUUUUAFGKBW9ZXfh5PB97b3llNJrTyZt7gfcRfl4Pzf73Y9RSbsRObgk0r+hg0UtX9OsEmikvLwlLSEc46yN2Rfc+vYVcYuTsim7GloFy/hxRrUm3zGBS3iYcv6t7DtmqUd/fahrUl2yfaJJs+amPlKnqD6D+VLPE00n2vV5PITA8uFR85GOAB/CPc/rVWfUHeD7PbILe37onVz6sep/kO1XUquUfZx+FGPxN2RveXFZQ/ZLNhdTkG4s5GUFUP8Sr/AHm46+q8DvWZ9qlttDUyN5pvJ2d0k+bIQYz+JZuf9mo9MledRZhysgbzbZs42yegPbdgD6gVP4kRvOtZAgSMwgbVGNj53OvsctnHoRXKtJWZjFclRQerev3f1+ZZ0q5tr7T5tMlU7BmeKJj0YD5tjdjgZweDtrI1HT5NPmUNlopBuikxgOvrUNpcPaXkNxEcPE4dT7g5rYSdIry50qcq1nNJuhEvIiY/dOe2RgEj+lVs7mtvZzbXXUwsUlXZbNWkZIMpMrFWgk4IPse/6H61TZWRirgqwOCCOlWdBes7iOWL7FevtgY5jkIz5LHv64PGQPr2q9axtbWM9jfsIxPJ5cLMchGwCWz/AHT8oPsQe1Ya84A71tXJ+3xpYAZubKPbEQcmQDll9yCTj8vSnaycjCpG3p/WpnwWmLt0u1ZEgyZR3wO31PT8ahuJ2uLh5XABY9B0A7Cte+xJo0ez/j6j2/a/9pcfIfw6H3xWJVN2VjSEuZXZteELRLvxVYCZgsCzK0pPTbnp+PT8az9TuReanc3CjaskjFVHYZ4H5Vv+HAlgd7j975D3Ep/uKFOwfU8t/wB81yx5zWC1m2YU2p15S7JL8xK11OL67j/u2pT6YUf1FUdOhSfUreKXiN5VDn0XPJ/KrFnKZr26lbq8UrH8VNbS/hs1q/CyJF2aLK5/5aTqq++0En/0Jas6J8kjzHkI6E/QZc/ohqvctt0uzh95Jj9WIX+SD86tWmItJdujMsrH6YCD/wBCato/EvQp7GSxyc+tJQaK5ywooooAKKKKACiiigAooooAK1LK7ju4f7Pv2CpJgRTt/wAsm7Z9ux9vpWXS007MC6+jahHIyNbPlSQcc0VJHrt9HGqLJwoAHFFaWp9yfeM2iilVWY4UFj6AVkUJRVgWN0f+WLD/AHhj+dKLIj/WzwRj3k3fouTQBWoqyYLVPv3m/wD65RE/+hbaT/Ql/wCe7/kv+NAFeirHm2g6W7n6y/8A1qX7Rbj7tov/AAJyaAK1WYPmsblf7u2T9cf+zCg3Uf8Az5wfm/8A8VVmwu0M7RfZYAJY2Xo3JxkdT6gUAZtKqlmCqMknAA71chleeTZFaQE4yflOAPU81M2oRW2UtreBnxhpdpGfZeeB70AV9kdngyhZLjPEfVU+vqfb8/Sq0kjzSM8jFmY5JNXIiZwfLsICB1YlgB+O6pHksIlIkgWaT0hZlVT9T1oAz0R5W2orM3oBmrH2MR5N3MsWP4B8zn8B0/Eipm1GJovKW28mPusT43fU4yfxqDNkeqzr77g39BQAfaIIv+Pe3BPZ5vm/Tp/OopbiWdszSM/oCeB9B2qbybNvuXbqf+mkOB+hP8qQ2Wf9Vc28n/A9v/oQFAFairBsLntEW/3SD/KoXjeNsSIyn0YYoAbRRRQAUUUUAFFFFABVmyIid7kjPkjcv+9/D+R5/Cq1Wph5NhFH/FKfNb2HRf6n8RQBVJySTyaKKKACiiigAooooAKKKKACiiigAqzdjcsE39+MA/Ucf0B/Gq1WVPmaWy/88ZNw+jDB/wDQRQBWqzeMcQRkkqkK4Hpnn+tVqsX/ABeuv93C49MDFAFeiiigAooooAKsxWwWPz7nKxfwr0Mn09velihSGIT3IyD9yLPL+59B/OoJpnnkLyHJPp0A9BQA6edp2BICqowqjoo9KioooAKkhgeeTbGO2SScBR6k0QwvPIEjAz1JJwAPUmpZ5lSP7Pbf6vOXf/nof8PQUATxanNp6SQ6ZM0SyLtkkXhpB/QVn0UUAFFFFABRRRQAUUUUAWpl86yjnHJT90//ALKfyyPwqrVizdfMMUjbUmGwk9Aex/OoZEaKRkkG1lOCD2NACAnscVq3N08mk2ckqrOgDQnzBkgqc8HqOGFZNaFm3naXeWpHI2zofdcgj8mJ/AUn3In0fb/hiEJaT52u1u3YP8y/mOR+RqOS0mjUsV3IP40O4fmKhp8U0kLbonZG9VOKZYyirRuYZ/8Aj5hAbu8ICn8un8qQ2e/LWkgnX+6OHH1X/DNAFaiggqSCMEdQaKACiiigCe1u5bOQtEQQw2ujDKuPQitSPR4b+3F1bTrbKc/uJAWc4/uADLD+VY0aNJIqIMsxwB6mr2ryquqyR2r5it28qFl4yq8Bvx6/U1LTvoYzi3L3NGdIvgu78SQ3mqaPfWk1tbxqfLdmV1AXAQjHBAXvx71zJ0q5HGYCfQXCE/lmp49SFyxF7JJDKwwbmI8t/vj+L69frUt00hQNqUK3kfRbyA4Zvq3c/wC8M1C507M54e3ptxk7rppr+ev4FW30yVbtPtsLpCoLuxGAVHJwf0/GkXU3OoS3E4DpN8skQ4Up/dHpjAx6YFa0Iay0nZplzHP9sOXhuAFPljoNpODk+hzwOlQ/8I9JeRmeKJrIBsOkwOPXKHq306/Xscy+0V7aLbdTbb+upR/ssG+RY5d1rIC6zY/gAyePUdMev51q2sci2DXKqtlbRuFtxMcAsQcyMerEAcADqeOlQadrVtpUvkW8ZaPdnz50DMjYxuCdB7jnP1AqV7m1+1SWuqxS7Lh1cyJJvXPZ1J5xye9JuT3RnUlUbs1p/XT+vQy3fT4Wz+9vZDyzsdik/Tqfrx9Kv22tzxWqyWyR26W8o3pAoUsjdRu+9jIxye4q/rXhrw5pt2sUPiYSqybwVtjIB7ZU9arWVn4dS4MTazeTiZTGRFYgZz0+8/qBTUotX1/EqNajVhezafdP/KxlXYex1hgzmZUfKsf40PIP4gj86q3UPkXTxg7lzlW/vKeQfyrudb07Qb2O3l8OadqV6kSCN1O5NvUjqpJHUe3FVrSzszCs2ow6dpscJ2MbhmnlPcAJnHr1HalGrpsTSxsZU+ZxafZ7/dq/wOMhhlnkEcMbyOxwFVck11Nt4E1KO1iutStmijlPyq7BFGP7zHp9Bkn2robHxzpOnXkVvbSLb2e797NbWg3sMdjhdv4Ka57xN4oh1G4ks4p7u/02GXfb/apiT069AfXrUc9WTslY5niMbWqKEIcse71/y1+Z0M12t1otvoV3d6THFbn/AEctIW2vzgbU3bhyfvevTtXPGLTLgSRX3iOaSVDuX7NZsVCj7ygMVwMdsdqwhqMKY2aba8dCS5P/AKFWjNqccqR6kum2rsW2z/fHz+vDdx+uacabiaUsK6OkdL+m/wA77m9BYeB7XT7eaLV7i5uW4Mbxhdp9Sp+X8zihNH0i/uFktdQ1iWdjywCMc+zKxH5kVzksGnK7SXFu0Nuw3RmOX5nB6AAg/Q9uK1rW8Gn2lrdeGpbaIA5dbqIGRpAehY5HTpytJwa6sznh6lNNqcm33t92my+RrQ6fZ22tW9rqV87XLSDa2qWRXr/01Ukt+J21Q17wxJp2tskF1IXj2mOa3HmoMgEAgfMox7Go73xlqd5qO7Xo1i8wAcRZjPGMlTnP1HIp2o3U1rHaa1Fb284hZULqgQrj7nKYBGAQDjoOx4qf3iepjFYmE4ym91a2lm/Wy/G5nz6Xdp5pa1CTEZlgUfu5h/eX+63fHHt6VTt9TuNNA24u7F+GimGdvqp9Pw4PBroZvFNl4m1BbrU2ewvgAqTwMVIA7Zzg/Q4+vatZ9A02fR7q6v7hZNRmOFuIIysEyZXmQYwrdfTnB5p+05VaojT617OChi479tbenkvvOC1DT4ZLc6jpSubMttdG5aBv7p9R6HvUUVisUQuNRYwxkZSPHzy/Qdh7n8M133hvTNI8OzTNqQuNQiuomQSQpmFGGCAR1zzjJA69Oa84uZWuLqSRmZ2Zicsck1rCTk2unc68PXlVlKmr8qtZ97/5W3JLu9e5CRqqxQR/ciToPf3PuardKsRafeTKGjtZWU/xbDj86k/sm8H3ogv+84H9a0ukdvNCCtcV8y6HER/yxmZT/wACAI/9BNVIozLKiL95mAFa+m2NykklvKimC5TY+HUlechhz2IH4ZHerel+E9YElxemycw2CtJI2R1CkrgdweOlQ5xjfU55YinTTvJeWvf/AIJWa4W41i8tSR5c8f2eM+hTAQ/+OAfQmsVlKsVYYI4IpWLK+TkNnP411Wl+G28T6Zd6u0q25tAWnTHNxgZJX/aOOe2TTclDVjqVIYaPNN6aL57L7zmrSykuiSMJEv35XOFQe5/p1qw19HZo0emAqWGGuHHzsPb+6Ppz71Dd3rXAWJEEMEf3Il6D3Pqfc/yqqaqze5tyuWsvuAkk80UUUzQKKKKACigAk8DNdV4UsdLs9QefxVbNNaiI5gU4MfTDtyMd8DOTnpUylyq5jWqqlByav5LdmNpmkSX6yTyOtvZwDM1w/RfYerHsBRqGqtc28VlbJ5FjASY4h1Y92Y92P6dBUmtawNQkEFonkWMJPkwjjj1Pv/nrknKFCTerFCMp+/UXou3/AARc1evDv0rT27KJI/8Ax/d/7NVCr0nz6FB/0zncf99Bf/iab3RpLdPzKkMTTTLGg+ZjgVqW9odW1KO1icR2kOE8w9FXPJ9yST+foKi023laGR4QBJIDGrE4CLj52J7cHH41raYYY7ad4ARawgoGx80zEYJ/EHaB23Z9adSXLCy3ZjWqOMXy7kGu37FRFG2PMQRog/5ZQL9xfq2Nx/D1rKCJZqGmCyT/AMMZ5Ce7e/t+dSXNx5Vw8pYPdyElmHIjz2Hv79u1UCc5J5pRjZWNaVNQjYdJI8rl5GLMxySaRWKnKkgjoQelN61d02GNpnnuP9Rbr5jD+8f4V/E4H0ye1Nuxcnyq5fu2iNnHZyOsd5JiWZ8YVm/hU++DnPqeemai04yy3K6ffJ5luuWYOcGFQMsyntxk46GsyeV55nllOXdixNaltcCLRZPtWSs7eRG4+8ijDNj2+7x7+9S1oZSj7lnu/wAyLVIvPme9tX862YgAgYMQ6BWHbAA9qzKto9xptwssTDDAgMOVkXuD6j1Bq7BZ297uu7YFRApkntxyRjpt9QTx6imtNCo+4lF7FG6xDbxWw+8Bvk/3j0H4DH4k1Vp8rtLKztyzEk0ymaBRRRQAUUUUAFFFS28D3MwjTA7sx6KO5PtTSuBY0zTpNRuQiA7F5Ygfp9a1dT1OKxZLTTwrPbjBlPKq3fYPbsx75IwTTkuVs/D/AJ9pwnmuinGCWAXB+uWJ/wCArXOZznNW9I2Rgk6kry2QryPI5eRmZmOSWOSabRRWZvsS20bS3UUcedzuFXHqTXRX+3VZLhoSW+0yNsBOcTL2/wCBr09Tx2rH0XjVI5epgV5wPdFLD+VO0qXdcPbF9pn/ANWxP3ZByhz254z71nJa3Rz1VeXMun9foZ4HPPFdL4wsNKszp0mlX5upZ7ZWuB2jIVcfnzWRqsWLsTqu1LgeYAOgOcMPwYGm6oc3EXtBH/6AKe8kxNOdSE07b6d9t/QffgzW1tfjnzQY5PZ1x/MFT+dQC7EihLtPNUcBxw6/j3+hqW2O/SryLrtKSgfQ4/8AZqo1S7G0NFy9jUtLXyJGvomE0NuvmKwHRv4Qw7c/hxS6NakzHULmTyLe2beZWz8z9QoxyTnnH6jrU1nCbazjd2eNCweQp96RjwsY/A5Ps3TpT9XvI9QMdnGUtvs2QsanEZY9cen8uvrWvl2Ik3J8sfmamnquqa5bHTbFLldRlMU/mn5tx5YYyAufvD+fBrNuvD7Wniq8sJ4j5Vm5eVUbPyDsD2zwOfXmneFvtFtqkiBjbuF+RzkeXJnCN9ATk+2ateJ5potPih84y3DPs1GZmJeSVQNoJ/ugHj1IPoK5kmp+RwrnhiOSL0at1v6/JafcaXhm30xVvL7xW7R2t4HRXtzuCBQAw+XP/PQY/wB2uEk2mRvLyEydueuK6+XVprb4f3OkrGgiR4F3/wARL75G/VVFccK1cIp80Xub4WHvzqXettOlltb5blqx+UzydNkLY+p+X+tO03/l6Y9rdv6D+tIimLSZJDx50ojU+oUZb+a1q+EZba3vri4vrcXFvHCfMjPQjI9fpWjjzWjff9Toqu0GzJ1AbboR/wDPJFQ+xA5/XNWZRs05h2WCNfxZi3+NV9Uuob3Vrm5tovJilkLLGf4Qas3g22t2MfdlgT6YRuP0rRbyf9dS+xlUUUVzlBRRRQAUUUUAFFFFABRRRQAUtJRQAuaKSigCz9qjT/U2sQPYvl/58fpQ+oXLgjzmRT/BH8i/kMCq1FACli33iT9TSUUUAFFFFABRRRQAVa06JnvI5NwjSNwzSN0UZ/zxTrPTnuUaaQiK3Q4aRjgE+g96knu7dNqQRiRU+7uGEB9cdSfc/lQA6aJy0sFqnk2yuQ0jnG7B7n+gqvutYPuKbhx/E3CfgOp/HH0p+qTST3YmkcsJUVx6DI5AHYA5H4VSoAlmuZZ8eY5IHRRwq/QDgVFRRQAUUUUAFFFFAACR0OKnjvrmIYSd9v8AdJyv5HioKKALLXgkOZ7eFj6quw/+O4H6UA2T/eWaL3Uh/wBDj+dVqKALX2NXGbe5ik/2SdjD8+PyJqKW1nhGZImA9ccfnUVSRXE0DZhldD6q2KAI6Ksm8WX/AI+beJz/AHkXYf04/SlEdpN/q5mgb0lGV/Mf4UAV4o2lmSNBlmIAqW9cSXkhU5UHav0HA/lVm1tJrdpLnZvEMZZWQhhuPAOR6E5/Cs+gAooooAKKKKACiiigAooooAKKKKACrNiPMeSHvLGQB6kcj+WPxqtT4ZGhmSVDhkYMD6EUAOt4jPdxRDrI4UfiaLmTzbuWT++7N+Zq3Coh1xXThEYzL7ADcKz6ACiiigAq1HElvGJ7hQxP+riP8Xufb+dLFElvEs9wAxbmOI/xe59v51WlleaRpJDuZjkmgBZZXmkLyHcx6mmUUUAFOjjeWRUjXczHAAptW3/0KExj/XyD5z/cX+79T3oASd0gjNtAQ3/PWQfxH0HsP1/KqtFFABRRRQAUUUUAFFFFABRRRQAVauR59vHcjk/ck9iBwfxH8jVWrFnIqyGOU4ilG1z6eh/A0AV6s6fOttfRyS5MWdsgHUqeD+hqGaJ4JmjkGGU4NNFG4mrqzJry2a0vZbdyGMbEbl6MPUex61BWhdg3OnwXg5K/uJfYgfKT9Rx/wE1n0lsKLutQoBIORRRTKLIvC6hbpBOB0Y8MP+Bd/wAc0G2SYZtJNx7xPww+nY/z9qrUUAK6NGxV1KsOoIxSVYW8YoI7hRNGOgbqv0PUfTpTvsqTrus33HvE/DD6dj/P2oAfo/GtWXGf36f+hCqjnLEnvViwc2urWzygr5UylgR0waZeQNbXs0D/AHopGQ/gcUupH236EOKvaSbptRigs32tMwQgjcpB65XuPaqsFvLczLFAu5z2/rW1DJb6Xpt5JaMskuBbi4x1ZuTsz0AAPPXkdM0pPSxNWVlypXbLN/JpDXxe5TypgNscS5aKNRwu8A5zjkhc/wBKozz6zHM1zFcyOg6PbP8AIB24HCj2IGPSsbrT4ZpYJA8EjRuOjK2CKShYiNDlXf1NceI2uCTqdla3TsctN5KLI31IHP161ct9S0WeEW92iogz5Ra2J8ok+ok5HtishtTW4x9utYZj/wA9EXy3P1I4P1IJoWDTrjGy7e0b0njLJ/30uT/47ScUZujDs16f1+hpzz2WnzFCE3YyANPjZWHqGZm498VD/wAJI0LhrWJkI6bWEQ/KMLTYLSSSH7LceXc24JMc0Dhmiz3AznHsf0qKfwzq8EM0wsZpLeEZadEJTb2OfSkuXqJey2m9f6/qxdudfupNQxLOY7K6TLxxjaMMOc4+9tOeTk8VmC3e3uLmwmGWZcqRyCRypHrkZ5/2qikBk0yN+8LlD9DyP5NVqGT7Taxyj5riywSueZIv/rdPofarsou6N1CNN3irJmXRUt1F5F3LH1Csdp9R2P5UQW7zsduAq8s7cBR71ZuRojSOFQFmPAA71qWM8OmSlLjEwmXZMg5VBnIPuQQD6cVUe4SJGis8gHhpSPmb6egqGK3mmOIYnkPoqk0nYmSTVmXr2KZvNhuG3zQHej5yJIz3Ht0I9s1VtbyW0c+XhkcYkjblXHoR/nFa9lYXdxbpHLGIp7fmHzmC+Yv8UfP1JH4+tVbrT9Pspf3t8Zww3ItuhOR6Fmxg/TNSpJ6MyVSMk4vVm34Z0SbxN9pg0qeFEij8yW0vdzL1/gYAkH8j9as+FoIGuZbS98xNKnDR3cEuQ0fcMjd+QOOo9OM1y0WpR2Z3WFqiP/z0lPmH8vu/pT/7ZlvSi6o0lwVPyTBv3kf0Pcex/DFYyhJ37HDVw9WopK9ovbuvPz8uvqaXiPSLDQNWmWGG4uLZmzbtKpWNkwCDu6twc8YqHTdb1hpCtuEa1UYaBkAhUfjwPc9T3zXT3RuPEml2lhq11HPcWq/6CFBTzPlH7uX+4xwMeuDzyDXDalPeGc212nkCE7Rbqu1U/D19+pop+8rS3Fhn7an7OrrJb31+a/rc9R8N+ItKNtJp+msWumG422SYiP4gjMMkY/hIPPT1rnvEOgX2ms82h26W8D/PG0S5ZlPo5yVbsVyORxmuNsPtUV3HPbQySMhzhVJz7cV32lanqaSDT5ZWhikUyWt3KhwCR9yTuOmCR3HORzUODg7pnLVw9TC1OelK67P+v+CedzXFxLIftEsjvnnexJ/Wos1317YQ6rqTJ4k0qbTbs5X7VaBdkhHqvAOfUH/Gsl/BTSXaQ2eoRku4UJcwvE4z0J4K4/GtVVj10PQp42lb3/d/Ffejl85rp7LVr1PDP2Bb+W2e5YiP5yFkRR9xvqSQD7Y6dHan8O9c03UjaKkN1gKfMgk+Xn2OD+lXLnwLrV1G15JaNDp9oojUHh2QD7yr33Ek/VqUqlOSWpnXxWEqxjzTVt+nyMaC6u0jdtZYy28R2+VcpvZ2/uKTyvuQRgfgDFLqNtfTK0hlsCoCxmE7kQDoNvUD35Pfk1ZvPtF8yw6paTWqRjy7eUxtiMdlb1Hv1+vSsS5tZrWUxzrtPUdwR6g9xVpKW+50QjGbu9H5GpqWnvNaHUYRHIFYCd4DlCT0fHVc9wQOfrisU1d0nUZNNv0mjYhTlJBjIZTwQR34q3eW1tPeSw/Ja3Kn5cDEUw7Y/ukjB9Oe1NXjoy4ydN8stjHop8sTwStHKjI6nBVhgimVZ0BT4YZJ5lihUu7HAAFLBBJczrFCpZ2PAFbCRQWtrIElKW+NstwB805/uR/7Pv7ZPYVLdjOdRR0W4WlvFaFjDLGXjH767ZcpD7IP4m9/Xp03VQvL0TKIbcFLdTnBOWc/3mPc/wAqZeXrXOyNEWKCPiOJeg9z6k+v/wBaq2KEtbsmFPXmluB5pOlLRVmwlamnWk2o6fNbW675BKjAdgDkEn0HSqdpZy3chWPCqvLyMcKg9Sa6DRJ41a6tLEHy5IWjVyPmmmxuj+g3LwPzpWvoYVpNRtHcpX84mlj0jSAXjUiLeBzM2eT9NxJxVrXLlNKsbfS7J1Ztm6SRewP9Tyc+hUdBTdNhFhGojObq7Bj83/nnH/y0ZfbGRn/ex0rEvbj7VeyzYwGbgeg7D8qlvmlciMVKdui/Flc0tIaWqOsQc1099rFra+DYvDq6fEbsOJprvA3Akk7OmeAQOvXNY9hGkEbX9wu5YjiJD0eTt+A6n8B3qlJI0sjSOSzMcknuahxUnr0OapTjWkubaLv8xtaGqNsFtaKNotoQG93b5mJ9/mx9FFJomlXGt6zbafZoHmmbAUnHAGT+gNLrttcWeu3lveLsmjmZWXcDjnpkcU21zWKc4+1UL62vb8LlaC48tTHIPMib7yH+Y9DV64RtNhiaykYksJGkXgoeyn3A/nVO0jQs003+qiG4j+8ey/if0zTUu5EneThvM++rDIYehFUbbqxamjj1CF7q1TZMg3TwqOMf319vUdvp0zquruhZb3T3K+Wcle8Z/qPf86W8himgF7aDajNiWIf8sm/+JPb8R25WxmvddnsUaKKKZoFFFAoAAMnFXbgizg+yx/61sGdv5J+Hf3+lJaAW8bXjgEodsQPQv6/h1/KoYInurpIxy8rgcnuTWqVl5sR1PhyTQBbrpviiSRLeRTOjRg5SVsAcjttAP41ytzCYLqSJlKlWIwe1a8Hh/V9e1GYaZYTShRuXK7fkHA6/hVbWIJIxaSzIySyQ4lDDGGViv8gD+NYNr2jszlp8kaztO7e6vt8vP9DMxRSmkqjrL2mcLeSA4KWzfqQv8jVIHDAg4IOau2HFpfH/AKYgf+PrVKpW7Ij8TN28JvLF2ODuX7XH9Sdso/MZ/Cs7VuNQYDnaij8lFXtKuD9lhGzzPs9zgp/fSUbWU/kB+JqprsXk69eR9VWZgpBzlc8H8sVMdJWMKelTl7X/AEG6acreJ/etm/Qg/wBKTSrAX98ElfyreMGSeXGfLjHJPufQdzgU7TELfayvJFs36kD+taEsRs9NTTLfAubpsztnoB2PooP6g+1aR1nYqUmpOK3ZFdag08j36p5MUZMdnGD9w+v1A7+pFY3erF7MskoSE/uYhsj9x6/ieal0jT/7S1BInYRwr880h6Ig6n+n1NXJrZGi5acbvZHQ2Fwmi+FIri9QyTXUheHcASqrwvXqM7iVPHC/3qbFY/2oolafzIbra083Xa8ZyzEeuxief9r0rK8TXn2nWXijLeRaAW8Kn+FV4x+ea0/A7Frq7t32mK4QRFXGQS2Qfx2F6wqfDc4pxaout1epVvpzPpJXAH2jzLvA/hzIFA/AJ+tc+K6Ka0EmoxwW33hbeS0B+8rFMj6jcRXOgVrHWCZ2Ubcl111N3XLrS30XTLWxtHhuo03zux4YsByOe+PT0rS0zWksvhnqdi1lEzXNwFS4IG7naWA47BR+ZrmtTP8Ap7qOiBU/IAVev/8AR/DWnwDjzGeRx/tcYP8A3yy/lWlVqpO76foZVaUZqMH3T+7Uy7eMzXMcSjJdwoH1OKvXcnnQajIP4rxWGPfzKg0n/kMWhPRZlY/QHP8ASiD57K7T2V/xBx/JjTjt9/5HSynRQaKxGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUoUswCgknoAOtWfsyW43Xh+btCp+b8T2/nQBBFBJO2I1LY6nsPqa1LJLLTZY7q9X7XsbKxD7rn09wO56fWoGkxAGuF8uLrFAnG/3PfHuapzSvPIXkOT+gHoPagC3rOp/wBrak9wsQgjP3IlPCj/AD6VQoooAszHzNPt27xlo/wzuH6k1WqzD+8sJ17xlZPwzg/zFVqACiiigAooooAKKKKACiiigAooooAKKKKACiiigC3FI9vp7SRuUaSQKCDg8DJ/mKT7YJf+PqFJT/fHyt+Y6/jRdkLb2sQ6rFuYe7En+W2qtAFr7NBMM2s4Df8APOb5T+B6H9KglgkgbEqMhPTI60yp4byaEFQwaM9Y3G5T+B/nQBBRVr/RLg45tWPflk/xH61HNaywjcy5Ts6nKn8aAIaKKKACiiigAooooAKKKKANKIb7dLkclYJIn+oGAfyYflWbWhpxZ7K/iUZzDv8Apgj+hNZ9ABVqGJIIhcXKhs/6uM/x+59v50kMKpH9ouRlOiJnHmH/AAqGWV55C8hyT+ntQASyvNK0khyzdaZRRQAUUVLbQiaX94Ssajc7AdB/j2oAmtx9miF04G7OIVIzk/3seg/n+NVWYuxZjkk5JPepLifz5d23aoGFUfwj0qKgAooooAKKKKACiiigAooooAKKKKACiiigC0wFzZhwf3sIAcf3l7H8On5VVqSCYwTBwM9ip6MO4p1zCsUgMRJicbkJ649D7jpQBY0yQNJJaSNtiuV2Ek8Bv4T+f6E1TljeGV45VKujFWUjkEU2tC8BvbNL9fmdcRXHqDj5WP1A6+oPrS2ZD92V+5n0UUUywooooAKKKKALK3m9Al0nnKv3Wzh1/H+hrT1Wwk1HWXnsSJzd4nKg4KbhuOfYEnnpxWIiM7hUBZmOAAOpre1GR7DSrWO3YecQYZ5UPKlTnywfT5hnHX8KluzRjUk1JJbsoXNxHbQvZWDhkJxLOBgy47DPIX24z1PbCX4MFra2p4Kp5rj3fBH/AI6Fp9mYtSvIYb1SpdgGmjHOO5I78d+tR6p5k19NdEKY5pCytH90c8Aen0otrYaiuZL5lGiiiqNQzRmiigABI6Vu6R4t1TR7KexguX+x3OfNQHDdMZVuoNYVFKUVJamdSlCrHlmro6aO8uxDOYXgvbaWMkPNbRuyMOQGyDg8EZ9+KzIdZeGZZfsdmXHfytuR6YUgVW06+k0++juImI2n5h2Ze4I7gitSbTLSSeRlxbyKxCW27An90Y9B35/Ak1LS6kOEVpJaf1uWr9rR4rfUI9PtVs5o8ZbzCwZeDGPn5IGOfTBrLm1lGGyDTrSKNTlV2s34nJOTU63j/Y5bfUIysCyhHj248rIO0qOxGD9cnPWsu7tXtLgxvggjcjryrr2I9qaS2CMY/Cy1/bd0B+7jtI/dLSIEfjtzUE2p304xNeTuPRpCQPwqrRTsjX2cew9ZXWQSKxDqchs8g1rTRpqenNcW6hZIyWkjUcKT1x6A9R6EEdxWXBbTXMmyCNnPU4HT3PpWnZS2+iXKzPL9rmxh4Yj+7weoZu/4ce9J6bGdR2+Hcy4YZbiQRwRPI56Kikk1txWEOkQiS8u4IbwjIX/WPF9FHG//AHiAPr0u6pcDTLSK70793bXilrWKNdnlf3t/dmB4GSeOfSuUJLMSeSeppK8vQhOVbyRq2+p2+n3Xn2izzSd2lfaH+qj/ABrs7fUIvG9nssbeK11uNCW2wqxkA/iViCfqM5715tV7SdYv9DvheaXcG3nClQ4APB6jBqJ0+bVbmGJwaqLnp6TWz/R+RJqj6taXslrqc1wJYztKvIT+VJZzC7gaxuHOWO6Byfuv6H2PT64966/+09P8a6aRqUIi1GLmSSBfmx/z0C9x/eA5HUD05m/8KatYxC4Fs1xaMf3d1AN8b/Qj+R5pRknpLRio14yXJVShP9fItWOrPcQHTtWyzxLsjaRA+QP4WB647EEMOgPQVKFtLhoIdQhaOENtivLeUsmP7pJyQPryKfrOuf8ACR6TZQQ2UVpeabGAWQfPOAoBbPUkbc49yfWsi3kuJJ45tPYxvK2yVB93PuO6nrg8cGnbmXYcYOpBya5X2v8AjodPq0ehafeh9Ak1CZpF8lA8hUrIchvvDsMc+rD0p2p+PLm6WCzg1aa2S1TytwtwyzEfxNz7DHHvVjTr3QdQglXWEaCf7O8OnyQhgzgA5bHQEnIHtwOgrh7jS5Y1aS3dLqEdZIcnH1BAI/EVlThF6S6HDh6FKpLlrJ3js5a3v2ez/wAzpYtbuxIJEgt7xlGRcWErxS/UjqfxGKt22r6frwlt9VMLSgHZHeR7JA3+y6jBPsdua4MEqwKkgjoRV4akZkEeop9pVRhZCcSL9G7j2OfwrR0V0O2eBha8Vb0/r/I6aLwFJf6olrDItskgJW43eZDwucE9VPbBzWF4js3sLuG2mkWSeFDDI6Hh9jsqn6bQMewrU0jW5tKAkjne7sOjOB+8g9mHcfmOcdyKdrenWk3+mLADHIN5ltQBkd2C9DjuBjH61MZSjL3noYUqlenXUarvHp6/10MGC5jvY0tdQbBUbYbg8lPQN6r/AC7elU7i3ktpmimUq69R/WrE+myJGZbaRbqAc+ZH2+oPI/H9avaKi6rNFaXA3SW6tLET/EqgsYz9cHHv9a2bsrnouagnKOxoaBJY6BMtzq1st1GE/wBIh4JbcDtjHv8AxH2GOvFYuuajHqWsT3FtEYLYuRBB2iTsoH0ouXeXSjI5JdrpjJn1wP8A69Z1KMfe5upFKjFVHVfxbB3paSnRxvLIEjRnZjgKoyTWh1bDauWtj5kZnun8i2H8ZGS5/uqO5/Qd6l8i309Q14VnuOot1b5U/wB8j+Q/HHSqtzdzXk3mTtuOMAAYCj0A6Aewpb7GfM5fDt3/AMiW5u/PRLe1j8qBTlYwclj6se5/yK2bSMaZHApkEbRj7TdTDrGD92Mf7RA/8e9Mms6ws5PtUUEK7ryc4HfyVPUn0OPyFGs3sc1w8Fmc26OcP3kPTd9MDAHYfjVWtGyJkl/DiW72Vo7rU7r7u5RBBt4Co/THtsGPo1YNbWoln8M6bKQAzFg5zywU4Qn8Aw/4DWLUQ2FQ+H8Pu0EqxZ2jXc20EIijdJIeiL3J/wA8022tZbuYRwrk9SScBR3JPYVYu7mKOH7HZHMQOZJO8revsPQU2+iNJN/DHcZfXYuHRIRst4RtiT0HUk+5PJ/wAqoKKKa0KSSVkafh95Ytajnt5HjeBJJgyMQRsRm6/hVGaae7uWlnkeaaRss7sWZifUnrVzRDi8nP/TncfrEwqGH/AEWA3JH7xsrDkd+7fh29/pS6kpLnb6iXTCJFtY+kfMh/vP3/AAHT8/WqtHXrRTLHxTPBIHibaw/WtC2mQM00Ee5GXbcW3Yr3K/z9jWZTo3aKRXRirKcgjtQJpNWZPe2v2W4wpLxON8T/AN9T3/p9QarGtu2VdZsXtYwFuo8yxR/3j/EF+oHT1HHWsUikvMmDb917oSnxxtLIscYyzEKAO5NS2tnNdsREBhfvOxwqj1JPSuk03TjaaHfazpjRSfZAYvtMmQwc4GY1xxjdwTznB4rSEXOXKhTqKOi3My7s0hZVvpfJhgXbHEozJIepOO2T3PbGM4pbLUzaRXEunwpbbIyolHzSZbj7x6cZ+7isdnZ2LOSzE5JJ5NbtyNIg8HW8amQatK4kkHO3blgP0x+dXCPO3JvbUlw0XNqULLW9U064aewv7iCVhhmSQjcPQ+tW7rVb2DTdOT7S7Bo3kaOQ71OXYcqcg8LWNHG0sixxglmIAA7k10GseHb9NHTWwsZ07cLdHDjJK/L09yprmlyJozqexhUjzWTf4vojMN9bXB/0uyjDE8vb/uz+X3fyApW05J136bN9o9YmXbIv4d/wJ+grPpVYqwKkgjoRVWtsb8lvhZesAfIv1PB+z5x9HWqFdf4QOl63rQtfEExgkmiaFJk6ys3ygNwRnnrx05rl7uJYb2eJN2xJGVdw5wDxmpjK8mjGnVvWlTaaas/L5M1fCxH9oTF8FYYjckHv5ZD4/Sqd+PtFja3o+8QYZOf4l6H8VI/I1t+CbfR5F1WbXpZY4I7QgNETn5iB2B+n41iWSm4tLy1UEkqJUHqVP+BNTf335GSn+/m9dLemu/8AwS/4dBgtbu6xhztihcj5VfO4sf8AdClvwFVLycJE8gJ33A2oD1WIdCfc/wCPrXWalPpll4JsdF+zFLqPdPPcDH3Sfmx7thVH09q4S4mNxO0jADd0UdFHYV0U3yxbe7HhpOq5VGrXenotn8yNVLMFAJJOAB3rp7VYtJ+zWmFef/j7vM9CsYLLF+OOfcj0qLw7DZWN/bz6sWAdWfamd0SBT8/sSenfv6Zr3ktrJfarc6eWa22BIS3XaSB/Kk4/u+e/kaVG5uy2/NmM7GSRnY5JOSa1YbttKtdOe3+WfzvtTH1wcICPbDH6NWda+ULuLz1LRb13hepGecVueM7nSrjxKw0K2e2toUWIxuckMpIPc8duvaspb8th1JXmqbjo03fp6fiRa/cS2njW5uY1aF47kSIM8rg5H9Kq3kMU99OkWI5lkOF6LIM9vQ+3etLxyufETzjpJlT7Mpx/LB/GsW/5njk/56RK36YP6itKTvTXkGGlejB+RJeW8lx4hnt4kJlkuSirjqS2AKn1yRXaBYW3QqG8sjuAxUH8Qgq6solvrm6lKxzRRBopicZZhhQfcZOD7c1lXsTpZWhkUqV3xkH1Dbv/AGYVVvel5f5otayT7DNM4v1P91WP5KTVvw5ZpqOsrZyzrAkyOhkfoMrx+uKqaZzfKP7yuv5qRVUHBz0q4SUXFtXLabTSLGpWgsNSuLRZRMIZCnmKMBsd6rVa1H5rxpf+ewEn4kZP65qrWc1aTsNbBRRRUjCiiigAooooAKKKKACiiigAooooAKKKVEZ2CopZjwAB1oASp4LVpV3uwjiHWR+n4ep+lSCKG0ANxiWX/nkDwv8AvH+gqGa4kuG3Stn0HQKPQDtQBKbpYFKWSlM8GVvvn6en4UqRLbxie6G5m5jiP8Xufb+dCRJbRCa4Ul25ijPf/aPt/Oq0kjSyF5CWZjkk0ALLK80pklYszdSabSUZoAKKKKALOnn/AEsRnpKpjP4jAP4HB/CqxGDzxSo5SRWHVTkVNepsvJMfdY7h9DyP50AQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVNZwC6vYIGcRiWRULnouTjNQ1Lax+bdwx/33C/maAL3iCzSw1qW2jnWdYwoDr0+6OKzKfO/mXEj/AN5if1plABRRRQAVJDcS27Zicr6jsfqOhqOigC1vtrg/vF+zuf40GV/Edvw/Ko5baSLkgMh6Opyp/GoakhuJbdsxNj1BGQfqDwaAI6KtAW1zxxbSnpk/If6j+VQywSQNtlUqe3vQBHRRRQAUUUUAXdPm+zrNNt3BduVP8Q3cj8RxQbNIppXmJ8iNsKehk9APw59qWyhEllctI2yJSm9h16nge5xRfy/areCdBtRR5WzOduOn5g/mDQBVnmaeTcwAGMKo6KPQVHRRQAUUUUAFW7g/ZoBar944aY+/Zfw/nTbT9yGumH+r+5kZBft+XWqxJZiWOSTkk96ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAq1bOJYzaykAMcxsf4G/wAD0P4VVooAV0aNyjgqynBB7GrFjdLb3B80FoZFKSqO6n+o6j6U8gXtuWz/AKREPmH99R3+o/l9KpjrRuJpSVmWL21+yXLRhxIn3o5FHDqehFV60LVlvrYWMuPNUk27nsf7h9j29D9aoOjI5VwVZTggjkGkuxMW9nuJRRRTLCjFFWbC3W4uP3pIhjUvKR2Uf1PT8aBOSirssW+3T7L7W3NzNlYB/cHQv/QfiewpLNvP028tSASALhD3yvBH02sT/wABFV7y6a8umlKhB0RF6Io4AH0FFhcC2vo5HBKA4cDup4P6Gpadrmbi+Vt7k+nL5cN3dHjyotqn1Zjtx+W4/hVWGeSBsxng8MpGQw9CO9aOo2506wNoWVvMuGfcvR1UYVh7Hcx/GsqnHXUcHzXkupa8uC6BMBEMv/PJj8rfQn+R/Oqzo0bFXUqw6gikxVhLpXQRXamRB91h95Poe49jTNCtRU81sY18yJvNh7OB09iOxqCgAooq1FGltGJ7hdzHmOI9/c+386ACKJLeMT3QyTzHEf4vc+g/nUmpTPdNBdSHLSRBTjjlfl/DgCqksrzSNJKxZmOSTU4Hm6Sx7wyj8mH+K/rQBdstQ8+zntdQT7QixZjbOHTBB4buMZ4OR9KlhtI7m28iOYXFvktHIFxJbn/aX+764yO47isyw5ugv95WX81NRQCUzqLff5hPy7Oualx00MpU1a8XYW4t5bWcxTLtYfjn3B7irUdjHBCJ9Rcxg8pCo/eSe/8Asj3P4A9uitboS+Rb6nbm7uI+PtkMeTbk+p6Oc8n+ZNUL3wvefatwu4JQ+WLSSgPjOM7ckn/gOaj2nR6HOsSm+Wo+X9fT+v8AMyLnUHljEEKrb246RR9/dj1Y/X8MUun2yzStLOP3EC75T6jsPqTgfjU0um2ds5W41NGI6rFBISP++gtW7qLTbTT4bRrq63SYncC3UHkfLn5/TJ/4FVNrZGzlFLlj18mR2eqi5uZ7fU/ntrwjPH+pYcKy+mBxj04rPvrGWwuWilww6q69HHqKm2aV/wA/F1/35X/4qtaJ9KvtPMNxd3J8scu1sMxnoH4fOOgbj0PWjbYObk1S/A5ukro9O8JDUNZi01NWtI5ZclPMSQbhgnIO3aRgetUtS8O3mn6lcWamO6aByheBwwJBweOo/Gjnje1wWJpOXInra/yM2CeW2nSaB2jkjO5WU4INd5beK5df0NNLkW3RonMj2uwIJzySyMOVbJJ/+tmuDkglhbbNG6N6MpFNR2RgyEqwOQQcEUp04zWpniMLTxCTe62Z1t2mo22240q9ku40I/0e8QPLAfTa2QfqKnt2iECTNp0UT3qFbsJlDDFjJcDPG7BPTjGOhqHRtUW7iE+qERvH8iSYA+0H+4R0Pqc8e4Jyej8Qa/cajosROnwyOiG3IjJBdMDdweeoHGMjBxkc1zylJSSseVUqVYTjT5fnt/w5w+oTWU2okv8AaLQoAImTDqEAwuOnGMc1b/se91S4S78PEXdyeZltCQQR/FtOCM/TGelYuDc2ZUD95b5IHcpnn8j/ADNWNA1y78Pasl9YSmNwNrYAOVPUYPFdDi0vdPVqUpxp3pbpaJ7P16j2hS/vGtbmJbPUAxThdqO/ow/hPuOPbvVS/wBKvtMkVdQtZbctyvmKRu+nrWhqF8U1Zpr+COefeJUuIv3fmg8hiAMHP0z61Z1DxNceLGig16SMPGCtvOiBRGT2YDgr79v0oTkmuxKlWjKLS93r/wAAwLa5ltJhLC21h+RHoR3HtXRaVqUEEJ3KwsJHHnIOWtJO0i+3/wBcH35uaGS3meKZSrodrKexqawuWtroHbvRxskT++p4I/z3pzipI2rUo1Y/1/Xoaes2Euk3v2i1Ji+bkxt8ozyrKe6sOR+I7VZ8Oqmta4lrHEsF7cxyRI8QwjMyEZI/h65yOOOldLHYxWHhu+0HWNOc34jaW2uJW+9b+YudmD25bH1rz7y7my1ExwGRbiJyoMZO7Ptis4Pni0cVGp9Ypyinqtn37P0Oh1PS5rae4s9RiWC5kbZJg5VZwMqwPo4JHsc+mK5YoyuVYEMDgiuzs5ZbuzYa9MEjkAjnD/NKW/gkXurZGCTgHvyaZNYz3kjP4etftN3jDyBN0jADkhf4XHfHPcEg5ojPl0YUcQ6fu1Pv6HORabtTztQk+yxYyAy5d/ZV/qcD3ok1ARQtDp8fkI3DvnMjj0J7D2H61VuPNW4cXO7zQxDh+oPfNRVta+56KjfWWv5C9au2duylJBH5k0h/cR+v+0fYUmnWLXchOwsickDjcfTPb3PYVPe3yw+ZDaPveQbZZwMbh/dX0X+f6UX7BKX2Y7lmK4jsYrsW8nmusZ86f++54Cj2GSfcisVArSKHO1SRk+gqxjZpOT1lm/MKP/sqrIu+RVHc4rRqySFGNkzsvEdvo0Wow6Vo141xBJZqAzf8s5gSVHQdec/7/tXKWtlLcyEDEaJ/rJHOFQe5/p1NaV9apDqk93eytCglJjRR+8kweMDsPc/hmma3dG7SC4twsVpKCfJQYCSD72fUnrn0IHbA54XSsjloKUIqCd/N9/6/Iq3N3GlubSwBWEnMkjfelPv6D2qjRR2rXY7YxS2DFFGaciNLIqINzMcACgZq+HIRLqE3mErGLO4LsOw8lz+fFZtxMZ5i2NqjhV/ugdBWnp0yQ6pbWkJ+Rn8uV8/fLjafwAJrIYYYj0NLqQvjYlFFFMsKKKfFE80ixxIzuxwFUZJoAInaKVZI2KuhDKwPIIrorvTIL2OPVZD5IuFL+RGPmlYfeCjtzz6YIx6Vm7LfS9plCXV318vrHEf9r+8fbp655FLbTzajHdRSyM8+DPGSf4lGSB6fLn8hUvXVHPNttSjt+hWur57hFhRRDbofliTp9T6n3P8AKnyu9vpMEAdh9oJlcA8EA7Vz+IY/iKQhb8Fo123IHzKP+WnuPf2qW6tWmvWAIjiiVEaV+FXCgfj9BzW0E0nY2slZFW0txPKfMbZCg3SP6D/E9B7025mNxcNJjaDwF9AOAPyqS4uEMQt7YFYVOST1kPqf6DtUdrbSXdwsMXVupJwFHcn0ApSaSsh3tqy1p3+iRSagR80fywE/89D3H+6Ofriq7Xty1oLU3EptwdwiLnbn1x0qS/uUlZILf/j3twVj4xu55Y+5/lgdqp1mlfVkRipe9JBRRRTNCW2lMFzFKhw0bhgfQg5rV1uNLiSe4jGJIZSkox95T9xvrjg/h61i5ro7S2a/1+S2Y7YrqBQ744UlQVP/AH1j61EnZ3Oeq1GSn2X+RXULZ+C2csPNv7naq9wkYyT9CWx/wGpvBdu0niGKbO1IvvNnG0Hgn8ASfwqnr0qPfpbwLshtolijX07nPuSSTW3ZuPD3hN5imLq6wcnsSMIv4LuY/wC+oNOEeZephO7ou28/1/4Bl+JbgjUZ7UcFX2vznAXhV/AfmSapW1vHbW4vbxAyk/uYW/5an1P+yP16VcurdHlGpX5JhljV1APzTPjBA/HOTVMOdRvmmuTshQbmCdFQdFX+Qqruo7I2p6wUVt1/yFuZnFq0k7bri8O5vZM8fme3oB602DA0S6bncZol/DDn+gqtczm4naQjGeijsOw/KrMX/IBuP+vmPP8A3y9OfZbGslZL1X5la3IFzEW+7vGfzqfUgV1i73feE75+u41UHBGO1bSaXca34mt7a0C+bflXUscDJGSfzzUOyd2KclB80trP8Cz4keSdbgTjElvd7jnqfMQf/G/1rInG/S7WYdUZ4T9Bhh/6EfyrovFljPZ3+px3W3zCEchWzyHK9fpWJpEMdzDcLck/Z4dtxJg8kLkYHudwFFGScWYYaonQUltp+SJtWJg0mwiVcNNH5sx9SPlVfwXn/gdRW0y3ukyWl02DAwkhlI+4DwwPt936YqOe5e/s53kxuSbzVAHADcEfThaq2cywXStIC0Z+WQDup4P41st7vqdEItR13NLw6La08UWiarC0kRcIUU9SeAevTms/UWtn1GdrCNorYufKRjkqvbNWo3FtfLb3Lj9xIDFNj7vOR7lT19u1VtSt2tdTuYWGNkrAfTNU5P2fL5lW96464HmabaTeheE/gQf/AGf9Kp1bhO/SrhP7kiSD26g/zH5VUqJdGNBRRRUDCiiigAooooAKKKKACiiigAooooAlgt3mychI1+9I3AX/AD6VK1wkKNHZgqG4aQ/eYensKjuLl5yoICIowqKMBf8APrUNABVuKJLaIT3C7i3McZ/i9z7fzpIY1hjFxcLuGf3aH+M+p9qglleaVpJDlmOTQAkkjSyM7nLMckmm0UUAFe//AAk+A/hjx78PrfXdYvtWhupZpY2S1miVAFbA4aNj+teAV9mfs2/8kXsv+vqf/wBDNAGT/wAMqeCP+gr4g/8AAiD/AOM1k6/+yhpL2LHwvr97DdKMquoBJEf2yiqV+uD9KvfGf43eJPh144h0bRLLSp7eSyS4LXcUjPuZnBGVkUY+UdqvfCT4+x+PdYXQtesItP1SRC0EkDkxTkDJUBuVOMnGTnBoA+WvFHhbV/B2vTaR4gtGtrqLnGcrIvZlPdT6/wBa9k+EPwW8N/EnwQNX1u81SC5hna2xaSxqrKuCCQ0bHODjr2r079orwbbeIvhrcassS/2how8+OXHJjz8659Mc49QK8C+Hvxo8ReAPDFzpWiWWmTxCU3G67ikZucKfuuo9O3rQBu+Pfg54f8LfE7wr4c0+81KSz1hwtw88sZkX5wvykIAOD3Br0HV/2X/Bdhot7eQ6nrzSW8DyqHuIcEqpIz+66cV4p4l+MfiDxT4v0bxHqFnpsd5o7brdIIpBG3zbvmBck8jsRXT337UHjS/0+4s5tM0FY7iJomKW82QGGDj9715oAv8Awa+CPhv4ieC5dX1q91SC4S6eELaSxqm0AHo0bHPPrXM/G/4a6P8ADXWtMs9Cub64ju4HlkN5IjEENjjaq8VW8BfG7xJ8O9AfSNFstLnt3maYtdxSM+4gDqsijHHpWR8QviVrHxK1CzvNdtrG3ktImijFnG6ggnPO5m5oA5CiiigD2n4I/B3w/wDErw/qV9rt5qVvLaXQhQWcsaqQUB53I3PNZvxy+FuifDO40WPQbq/uBfpM0v22RG27CmMbUX+8eua9R/ZP/wCRM13/ALCC/wDosVhftb/8f3hX/rndfzioA+dKKKKACun+G/hqz8YfETSdB1OSeK1vZGSR7dgrgBGbgkEdQOxrmK7/AOBn/JbfDn/XeT/0U9AHq/jv9nLwj4Y8B6xrdhqOtSXNjatNEk88RQkeoEQOPxFfOem/8fyMP+WatJ/3ypP9K+5/i9/yR7xP/wBg+SvhiwO2SZ/7sEn6rj+tAFWiiigAooooAKKKKACiiigAqaK6eNfLcCWI9Y36fh6H6VDRQBaNqk6b7Nix7wt94fT1H6+1VSCOtAJByDg9iKtCeK5wt38r9BMo5/4EO/16/WgCrUttbtcyhVIUDlnbog7k057KZZlRV8zecIych/oaknkSCI2sBBGcyuP4z6fQf57UAdN4Q8H6z4+un0bwxa71jkRnllO1Ilw2XkbtnHTn2r3PSv2WNFtNEmGv69f3Nyy7z9iVIkUgHAG5WJ9M8fQV6L8HvBlv4L+HGnWyRKL27iW5vJAOXkYZxn0AIA+lef8AxR/aNTw1rV3oHhbTob65tyYri7uWPlI/dVVcFsdzkc+tAHytRU94ircFoxhJBvUegPaoKAClVSzAKMknAA70lWrTMKSXXQxjCH/aPT8uT+FACXjbGW3Q/LCMHHdv4j/T8BVaiigAooooAKKKKACiiigAr174H/CbQviXb6s+u3eoW5smjEf2ORFzuBzncjentXkNd78Ovih4j+G0V6nh/T7K5W9ZTIbyCR8bc4xtdfWgDqfjf8H9A+GujaZd6FealcSXdw0UgvJY2AAXPG1F5rxmvRfiF8UfFPxLsLO01zTLC3jtJTLGbOGRCSRjnc7cVwX2C4HVFX/edR/M0AV6KsfYZe7wD/tun+NO+w8/Nc2y/wDbTP8AIUAVaKt/Y4u9/bD/AL7P/stH2KH/AKCNr+Un/wARQBUoq39jh/6CNt/3zJ/8RR9ii7X9sf8Avv8A+JoArRSNFIskZwynINTzxK8f2m3XCE4dB/A3+B7Upsf7lzbv9JMfzxT4IJoJNwa3dSMMpnT5h6daAKWa90+Dvwk0D4qeGrzVPEN1qUF3a3X2bNnLGokUIpDNuRvm5xn2rxu40qZcSW6+ZC/3SHBIPocHrX1B+ytBJB4D1hZUKE6lkA/9ckoFZXueQ/HD4ZaN8NNU0m20K5vrhL2GSSQ3kiMQVYAY2ovr71qfBD4P6B8StG1O71271K3ktLhYoxZyxqCCuedyNzXUftU2L3msaC0B3Sx2sx8sA5ZdwyR9PT/69a37J3/Ir6//ANfif+gUAmm7Hmfxx+FuifDO40WPQbrULgX6zNKb2RH27CmMbUX+8eua84uCbPTI7VeJJ8TTeuMfIv5En8R6CvoT9qaBJ9a8Jib/AFSRXbyc/wAIMRP+FfOF3cvd3ctxLjfIxYhRgD2A7CluyX70rdiKkFFW9N0+41XUIbKyjMs0rYVR3ptpIqUlGLlJ2SNHWYy+m2MgLM0EKRTZ7FhvT/x04/4DWJW7eFofEt/ZXSNAkzmExyceXg/Jn0xgfhWJLE8MzxSqUdGKspHIIqYbWMaGkbfP79RtJQaBVG5a00t/aMCKxUSSKjY7gnB4PFfVf/DLPgiWMS/2lryblDbVuIcD84q+ZNN8mwvNOJgjmnmkR8y5IQbsDA9eM85r9BYf+PVP9wfyouTGXMfntqWnw6Rq97E+50guZIoY5PvOFYjLe3H4msuWV5pGkkJZmPJNegTp4b13xRro8SX8mnTQ3EogkzkOd7cHC9BgVyUvh688/ZZeXfKeVe2bduHrjgj8RU8yvYyVeLk4u6t32+TMqtDSree6ee3giaTzYSDgdMYYfTkU+ayg0whb7dNcd4UOFX2Zu/4fnSR6nPNdwLxHCrgCGFdqgZ9O59zk0732L53L4fvJ9P0+CLULdJ7nzZ2kAEFsN5GTjlug/DP4VNPqdvozmHR4IftGCsty4EvXqq7hj8QPXBx1hmP9h3D2iEG737Z5Bz5YB+4D6+p/D1zmXa+XeTp/dkYfrU25tyFD2jvJ3X5/IdPfXVyf9IuJJPZnJqW1v/LhNvcp51uTkL0aM+qnt9Oh/LFLFFVZWsauEWrWOgh86R4Y2aPUbB2A8yVMtGO4J+8hHoDj61Uu59P1K9lmdpbN5GJHHmIPQdiAPxrR8JaTql1DqOo6WiutlbtvVmGG3AjGDwcDJx7VTXSG1FWa3tns5sZ8t1Ijf/dY9D7Hj3rJNcz12OJTgqklzfD26ddV9xUbSZmP+iSRXa9mhfJ/75OG/SoFWeynVniZCOqupGR3FWZND1CBgs8aQNjIEsyISPXkirNuuo22ANQtgo/gkuEkQ/VTkGr5vM6PadpJkQkhEccEzMbVzuhm/igPce49R+IqlcwTWlwUm+91DA5DD1B7j3rciDTsYr6202aN25eCZI2U+oVWA/StnxBHocklvZabomowwFQCSCzI5PVclsg+mcGpc+V7bnPLEezqJKN73va1ka/wO8I23j/xReaXrN/fRWsFqZlSBkIZtwHKyIynr6V3fxW+B3g/wd4Mk1uyn1FJI5kRzJMhXBPJ2hBz6AY61554H8QX/wAL/EN3f6aE3SQeW739ozxeXkHI2yId3HTr7Vp+PPjNqnxD8PzaJqFxotnYtKkgZLW5WUlTxzlx+n407xexqp0pr3PwTPOby3GotGNKlSSJBsjtvuSIPcH7xJ5yCfw4FXLnVzaX62UpeNbRRCkuMsMfe3A/fUtk4PQYxUGm6XaC+WX+2bJxCDKw2TDG0E94/XH509DAyGK+1jT7qLPAkSYsn+6wjyPp09qTWtjOUU3ytXS8tdTcu4/Dt1pdnLLOLPW3Y7pwjG3mXJ6kZ6jAJPIPXua4/VNNm028McqYRhujYHKsp6EEcGtq2sbNRItjqtveQMP3lo0UhY+65UZPuMH8M10B03TNO8Jxzfa/7Us5DvlsDGpltwerA7soQcfnyKzUuTTc5YVlhfdu3d7O/wBy008k9PM4lQb3SWTOZbP5gM8mMnn8ic49zWf3rqGstP08xanponvbNsh/mAKAjBVhj0OP8gnNu549OvJIYLC2BRspJIDISp5Bwx2kEEHpWsZX2O6lW5m+Vf11EeKbVtLWeNGkuLXbHJtXLNGeFJ9cfd+m2oYtLuUkVp5I7MA53zPgj32j5j+ArR0HVLu81pLSeciG6R4DFGAiDcpAIVcAYOD+FYMgKyMrdQSDTV78o4c3M4fP7zsV1wXF3YX17eXGoz27G1aQjYpRs+vJ4LcnBpNR3z+I7CwjItYLm5W2la2AVmG8KDu5J+QqecjPaud0o+YLm2P/AC1hLIf7rp8wx7nBH/Aq6m6APi/SWHQ3lk49g0cRrPlUZnKqMaeISS0s/wCu3Vn0BF+zF4NtYp3TVNebzYWRg1xDg9/+eXYgH6ivm9tbvfC/iT+0tGmKidSHDANuwdrgjpncpP4ivvWX/j1f/cP8q/Pu/iluxOkKNI8d7IAqjJw3/wCzWkop7nXWp05K01dPRhrVpFdQjWdPYvDO589D96GQ84PseoNUtO0uS/cszrBbrkyTyfdUDr9T7CtDTJLfRrgLfP8AahOPLntI2yu0/wB4juOCMdCOoPFO8Sxy2c5t/MEkTHhkAVVA6R4HAI7+p554JUW17pFOTi/ZLbo/L/gFK+1NHtxZachgs065+/Kf7zH+nQVmUVNbeULuH7QpaLeN6r1IzzitIrWx1KKitDTtNPOp6jpeliQQ+YB5kjDiMMdxY+wXB/CrV5Z23hvxEbG3kjv7iKRR9pKgxjOD8q5IJ56n/wCvUviqewhuCNGheBLqMBgx5CL8oHU4BI6egB71z1p/x+w/9dF/nRWi+eSvotDk5Z1Lzb92z08+9/wsP1J2k1S5Z2LMZWySck81Lp7JMsljO21ZuY3PRJB0z7HofrntUF9/yELj/rq386gHFK11Y6uVONhXRo5GRwVZTgg9jTa0brF/afbVH76PC3AHfsH/AB6H3571n007hF3R9MeCf2b/AAh4k8C6NrV9qOtx3N/ZxzypDPCEDMMkAGInH1Jrxf4jeHrHwN471bQdImmmjt3VFknIMiqUVsEgAZOew6cetfYvwpBHwj8Lg/8AQMh/9BFfJHxz/wCS2eI/+u8f/opKCjg4JDFOkg6qwNWNTjEWp3AHQyEjHoeR/OqlaGoYntLO7XO5o/Kl/wB5OB/47s/HNLqQ9JpmfRS4JwBV9LGO1i83Uiyk/ct1Pzt7n+6Prz7d6LjlJIgtLKS7JIKxxL9+WQ4VB7n+g5PappLyO3jaDTgyhhh524dx6D+6Pb86jnupr50hjTbGvEUEQ4H4dz79TVqPTmhbYbWS5uAMumCEj9ifX8qpRbV3sQ+8/uM1I5JX2xozn0UZq9aW09pdxXEkkdt5bhwZW54OfujJP5VYlO2P/Tr+OEf8+1moJ/HbhfzJPtV3VtW8Ntptimi6MVu41xcy3JYhzgYIAfB79qTlFaJNkTqu6iotp9ei/ryuUbmKys9WKW6PPmQNGWJVcHkcDk8H1FGqzyave3EgP71Hb90v3SATyo9fUfjV+LWJZY9MnFvYnE3kSg2cRPBBU525HDY/4DVGIvdzFk0rcVkI8223Lg/XJUVXO/Z7CjNxV5LbzM4WN1tiP2aXExxGShw/09as3LJYQNZwHdM4H2iQHj/cHsO57n6V1+ra9Pq/hy20nSp4ZJrJdrKFCOFxg7DnDehIwfQYzXBOrRsVkUqwOCCMEVjFuXxE0JzrK9RWt0/JjTSVpR6Bqcunx34tHWzkJC3D4WPg4+8eOoNSJY20Z+RZr988mJSkX/fR5P5CrTvtqb+1g/hd/QykRnYKoLE9ABVxdJvWUFofKB7ysIx/48RV9RqU2Le0W3s1P8EDKrn6kEuR9c0NpllandqeqwTTY/1EXmEj/ebbgfQZ/Cq5ZESqPZf5kdtoHnI0k2pWVvHHy7MzMF/FVIJ9q3XtoDqdillqFq9vAkU8gUtHJJsUEEl1A7YAzxn1zXPXTxXZVW1CFIkGEiSJwifQY/U8mtmTTVFlC8V9bl7iJI1yHHyqAzHlcAcrWcqc3/SOaspO3M+/Qqtol3N4gnea3Z0a5YIT92RixwMjt3PtVzxQ6TalsuXIsLDMUYQ4NxIOGI/IDPYACur/ALBv9Biu/EBeNYIJHaK2DndKd2FJHTlsEnrhQPp57rMc10o1JkdAzbJImBHlN2x/snnH0OfU7VIzg1BozpydSqu0Va/mxNQuG1HS7SfADQyPAI0HCJwyAfiX/Kqt0RbQi0j+9ndM3q3936D+efarthutdEupjgSkpJCvdcErv/8AHuPf6VjZJOTSj7qsd9O2sVsn/wAEQV0+kroUvgnVEu5Jv7VVxLCig7SowASf+BNXMVYsLn7JdpKyCSPlZEP8Sngj8u9ZyjzIVem6kLJtWs9PIgrf0aUm3hvIyVn0lmkDA9VwWUfQOP8Ax+si+tvstxhDvicbonx95T0NaWixf8S++3A/6VGYYv8AaYDfx/3yo/4FSnrEms1KndGyus2mp/D27s2sidRtiJHvHbc0gZ+eev8AdH5VjW4+zRjTEH7+7Q+cf9oj92n54J9z7VN4dWS30/U71o1eFIAAr9HYOpAx3A4JH+NZum30cOu297qCvOiTCWQA/M3OaKMUp2W1zCjRjTlOMNr3+bGaeN9w8HeaNkA9WxkfqAPxqpW3ffZ38ZJ/Y8X2WJriPyVc/dJI5PJ71B4j0g6JrUtmZo5QPnUx9ADyB9cV1zpyUW1snY7FK79Szr7aTLp2lzaXHKJjEUuWk6FlCjj9f0qteypcXjxXBC7sPHKf4SwBwfbn8PzqsTv0UD/njcH/AMfX/wCwpt/zcI396JD/AOOiipLnvK3YIrl0H28bx/aoZAVbyjx9CDVKtXSmF5OttJxKY3SJ/wC9lThT+PQ1lspRirAgg4IPasn8KK6iUUUVAwooooAKKKKACiiigAooooAKKKKACrNvEixm4uc+WDhVHVz6fT1NJb24cNLMdsKfePcn0HvTbmczyAkbVUYRB0UegoAbNM88peTr2AGAB6AelR0UUAFFFFABX2Z+zb/yRey/6+p//QzXxnX2Z+zb/wAkXsv+vqf/ANDNAHjX7Un/ACVm2/7BUP8A6Mlqr+zz4I1fWfiLYa+ltLFpWmM0r3ToQkjbSoRT3OTzjpjntX2FJbwStulhjdumWUGo728ttL02e8um8q2tozJIyoW2qBknAGTx6UAcb8adTt9L+DviKS6baJ7VraMeryfKB+tedfs4eEvDutfDe4utY0HTb+4+2yR+bdWiSNt2r8uWBOPavMfjV8YG+IuoRafpCyQaHZuWjDjDXD9N7DsMdB78+3sv7Lv/ACSu4/7CEn/oK0Acj8U/C3h/Tvjx4K07T9E061srop59tDaokcv7zHzKBg8eteteKvh54LtvB+rzW/hLQ4pY7KZkkTTogykISCCF4Ned/F//AJOJ8A/WP/0aa9n8Yf8AIka3/wBeE3/oBoA8Y/Zy8H+G9d+G891rfh/S9RuBfSIJbuzjlYKFXjLAnFcL+0voGkaB4w0mHQtLs9Niksizx2lusSsd5GSFAya9S/Zd/wCSV3H/AGEJP/QVrn/jboMfif48+C9Gn/1N1GFlHqgkLMPxAIoA5z4Pfs/L4o06DxD4yaWLTZhvtrKJtr3C/wB5m6qp7AcnrkV9A2vwu8CWdukMXg/RGRBgGaxjlb8WYEn8TWzq+pWfhnw1d6jcL5dnp1s0rKg6Ii5wB+GK+LfFPxt8c+JtWluY9evdKtt5MNrp87QLGvYErgt9Sfy6UAfamk6DpGgQyQ6FpVjpkUjbnSztkhVzjGSFAya+dv2t/wDj+8K/9c7r+cVdZ+zLr2r6/wCE9Zm13Vb7U5Y75VR7y5eZkHlg4BYnArk/2t/+P7wr/wBc7r+cVAHpFj8AfhnNp9vLJ4ay7xKzH7fc8kgf9NK+PPEFrDY+JtUtLVNkEF5LFGmSdqq5AGTyeBXbRfH74mQwpFH4lwiKFUfYLbgD/tnXn13dTX17Pd3T7555GlkfAG5mOScDgcmgC34fjSbxLpkUyLJG93Ero4yGBcZBHcV97af4I8KaXeRXumeGNGs7qLmOe30+KN0OMZDBQRwTX59xSvDKksLtHIjBkdDgqR0IPY16z8GvG/ivVPi/oFlqfifWby1lmcSQXGoSyI48pzgqWIPIFAH2FeWdrqFnLaX9tDdW0y7ZYZ4w6OPQqeCK8x+I/wAP/B8el6VBb+GdKtUutVt7eZrS0SB3jZsFd6AMAfY11HxSvLrT/hX4iu7C5mtbmGxdopoJCjofUMOQa+Uvh34u8Sa58QtFtda8Q6rqNuL2FxDd3skqbhKuDtZiM0AfRs/7PPw0kt5Eh8PGGRlIWQX1ydhxwcGTBxXLeMfgP4D8L/C/W760064uNQsrCSWK7uLuTdvVchiqkJ+G3Fe5TSpBA80zBI41LMx7ADJNfKHjL45678QfEB8K+H/K0/Q9TnWwz5QeadHYISS2duc9AAR60AUfg58C5fHkI1zxDLLZ6IHxEkfEl0QecE/dXtnqecetfSWn/CjwFplmltb+EdIkRBgNc2iTufqzgk/nW/YWVn4d0CCztUWCzsLcIqqMBUVf/rV8d+Ovjv4v8S69O+j6xdaRpaSEW0FlIYmKg8MzDDEnqQTjtigD6pT4X+BEunnXwfohd1CkNYxlcD0UjAPuBmvHf2mfCvh7QfBOkz6HoOmabNJqOx5LOzjhZl8tzglQCRkDit/9nX4la/42tdV03xJOLyTTljeK7YASMrlhtbAwcbevXnmqv7V3/Ig6N/2E/wD2k9AHceDPAHg268DaJPdeEtDmmlsYXkkk02FmdigySSuSa1Lf4XeBLZpDH4P0VjI5dvMsY3wT6bgcD2GAKueBP+Se6B/2D4P/AEAV8yfGP4weMX8eapoumatPpNhp85hjSxkMTvj+JnHzZPoCBQB7t4o+BfgPxLZPGuiQaVcbSI7nTUEBQ+u1flb8RXyZ8Rfh5qvw48SHTNUImhkBe1ukGFnTPXHYjuO1e2fAL4z61r3iEeFfFl39teaNms7uQASblGSjEfeyMkE88Hk12/7RPhyDXPhNeXjIPtOlOt1C/cDOHH4qT+QoA85+Dn7PtjrWi2/iPxwsksN0oktdOVygKdnkYc89QARx19K9yh+GfgWCIRp4O0IgDAL6dE5/MqTW3o0lvLoVi9kVNu1vGYivTbtGMfhXkXib4efF7UvEU+oab49gSDezW1ss81qkYz8oZEVg2B65z3oA6HxR8EfBGqaddPa2MWhStEd1xafu41HXLJ93HqRg471k/BzwF4OuvhzA1xo+i64yXVxGL+WwjlMyrKwBDOuSMDj2rgfiXpnxwj8DNpmvSW+qaXGC91d6WR5siD+GQYUlR7L9Sa8T03xn4o0aySz0jxJq9haoSVgtb6WKNSTk4VWA5NAH6EKqogVFCqowABgAVzWoeAPB00V1cTeEtDknkV3eV9NhLMxySxO3JOec1vae7SabbO5LM0KEk9zgV8OeKPH3jSDxbrFtH4s16OJL2ZFiXUpgqrvIAA3dMdqANT4VfCa/+Jz7pJGsdKspds15tyXB58tB0LDrnoN34V9O6D8GPAGgWawQ+GrK9bHzTahELl2Pr8+QPoABWx4C8N23hLwLpWj2iKogt1MjAY3yEZZj7kk184fF/wCO3iO78VX2i+Fb+XStMspGgMtv8ss7A4Zt/VRnptx6854APe9Z+DvgDXLNre48L6fbZ6SWMItnU+oKY/XIr5n+MPwfvvh15Fxp7yXugSOQtwwG+KQ/wyY46AAHocdj11/hP8bvFmm+IbWy8SX1xq+jTMEle6+eSHPAcSHk8kZBJ4r6g8UaDaeKvCmoaPfKHgvIGTOOhx8rD3BwaAPAPgN8K/BvjTwDNqXiXRvtt2t48Qk+1TR4UBcDCOB3PavQJv2b/h3Lqkdymm3EFuibTaR3kuyRs/eZmYt7YBA+tVv2bLYWXw6vrXLFodTmjfcMfMAoP8q0/jP8WR8M9Hto9Pt47rV7/d9nSXOyNV6uwHJ5IAGRn8KAON0f4ceEtI/aSl0K10C0l0oeHvtH2W7U3KCUygbv3pbnFeqXHwv8CXSosng/RFCMGHlWEceSPUqBkex4rwv4E+NNc8cfHK61PxFdi4uP7HkjUJGqKqiSMgAKPc8nJ969j+MfjLUPAvw4u9X0ZYzeeYkMbyDcI9xxux3I9+KANOT4Z+BZYTG3g7QgpGCV06JT+YXNeY+KP2XtA1LVYLjw3ey6TbtJ/pNsxMihe5jJyc+xOPpjB8M0/wCNPxB0/Wv7SHia9uXLAvBcv5kLD08s/KB/ugGvsfwF4th8c+CNO1+CPyjdRnzIs58uRSVZc9xkGgDF8P8AwU8A+HrNYIvDtpfvj559RjFw7n1+cED8ABVrVPhJ4D1W1aGTwtpdsSOJLS1SF1PqCoH65FeQftCfFfxT4f8AFi+GtAu20u2W3SZ7iA/vZd2f4uqgY7c+9cz8Ifjn4k0/xZY6R4o1KfVdLvpVt9902+WBmOFYOfmIyQCCTx6UAY/xd+F2s/DW9S5tLya70S5bbDcKNjRN/ccLgZ9COD7V2f7MugaR4jtfEDeINLs9UaKSIRm9gWbZkNnG4HFe9ePvDlv4r8B6tpF2gYT2zGMkZKSAZVh7ggV5F+ytdWs2h6xFBbCKaFohLJx+8J3YNAGJ+054Z0LQNJ0F9C0bT9NeWeUSNaWyRFwFGAdoGa9xtfh14JazhLeDtAJMakk6ZDzx/u15F+1n/wAgXw7/ANfEv/oIr6AtDiwgP/TJf5UAc3a/C7wJaQ+XF4P0VlznMtjHIfzYE1zPjH4AeCvE9lJ/Z+nx6Hf7f3VxYJsQHtujHykfQA+9fPnj740+N9V8WX0drrd1pVpa3Lxw29hKYgArEDcRgsTjnJx7V7D+z98XdU8aS3Xh/wAUTLcahbRefb3W0K00YOGDAcZGRz3z7ZIB82eM/B+qeBvE0+ia1GFmi+ZJE+7Kh6Ovsf8AGui+F/wi1j4l3zPA4sdJgbbcXzrnn+6i/wATfoP0Pun7TvhaPVvBunavAi/bbO8SANjlklO3bn/e2n869S8GeG7Twf4N07RbFAsdrAA7YxvcjLMfcnJoA4bS/wBm/wCHVjZrFe6bc6nKB809xeSIx/CMqP0qcfs7fDQXfnf2FKY9pXyPt0+zP97O/dn8cc9K8p+JH7SXiD/hIrvTfBDQ6fZWspiF20KyyzFTgsAwKhcg44J757V3vwJ+MOr/ABCub7SfEVtAbqzhEyXUC7PMXOCGXpn3HHtQByvx2+FHgvwb8OhqfhvRvsV59rjj837VNJ8pzkYdyO3pXzdX2D+07/ySMf8AX/F/7NXx9QB7j+zHomla74i12DXNMs9ShS1jZY7y3SZVO88gMCAa+o9J0LSdBt3g0PS7LTYZG3vHZ26QqzYxkhQATgDmvz70nX9Y0CWSXQtWvtMklULI9ncvCXHoSpGRX1X+zNrur694J1afXNUvdSmj1HYkl5cPMyr5aHALEkDJPFAHrGo6Bo2rzxTatpNjfSwjET3NskjIPYsDj8KwPCdrZ2PjHxTbafaRWkSS258uFAiZMWScDgH1ryP9p3xNr+ga3oC6FrepaZHLbymRbO7khDkMuM7SMmtb9mDVdQ1nQ/EN5q99c39013GGnupmlcgR8AsxJoFY9f1jwroXiC4hn13SbXUXgRo4/tUQkVVYgsNp45Kr27VkX/wq8BajaPb3HhHR0Rxgtb2aQOPoyAEfga5D4+/ELVfBOj6bbaNcmxk1J3VrxEDvEFA6A8c569fSvC/DHxn8ceD9ciudS1m51zTJJMyx3MpmWVc8lGblTjoOMdxR1FzJOxvfF/4CxeDLKTXvDcl1caQrfv4WAkktQe/bcnbPUd89a8u8MRTJ4itH0a8Bu9xEUYRg7HB+XGCOenWvvYfY9f0Ib0Weyv7flWGQ6Ov+Br5z+Avw+hs/i94knu496eHpXt7bdg/OzMA31CD/AMepNXVgnFTg4vqavg79mxNRJ1r4l3s09/dMZpLG1cIqk84dwOT7LgD1Nd7dfAH4b3mWl8PsJCoXzFvrjdwMA/fxnj0ruNabVl0ib/hHYrKTUcYhF9I6Qg+rFFY8egHPqK8403S/jlb64LrUdc8KXVkzfPZhZFVR/ssIQ2fqxo2CyitFseS/Fb9neTwnpVzr3hS8kvNNtlMlxbXJHmwqOrBhgMB6YBHvXhlfefxMaQ/B3xG15Giy/wBlymRI3LKDs5AYgEj3wK+GYYbW6lCL5sJ6luGCj17UyjQs4PPuNJuXO2FGVHb1YP0+pBFfoFF/x6p/uD+VfBGmRxXssNhaTRukUyzQAna5YEbsg46jnjP3QK+94f8Aj1T/AHB/KkuxENLo+C38NX3iLx7fWdlE7SXGoTJEqjLStvPCj9SegHJIr6Q8H/s66Pp+jpF4onlvHkAaS0t5DHGD7uMOxHsVHtVP4A+HVufEHinxXfASXH9oS2VqSBiJA2W2+mcgfhXrfig+JTo5XwamlnUGbAk1OSRY4x64RSWPtwP5UWvuHLfWRyz/AAM8BfZ2ig0maHIwG+2zS499sjMv5ivE/in8KJ/hzZTa/ZR2uqacXWNJGhEMlqW4ywjKq3PAIA5PQYr17w7pvxrsNYWXxBrPhjVLBnzJB+8jZV9EZYR/49mk/aJR3+CephVy3nW5IHP/AC1XNJxTJlShLSx4b8NfhO3xP1Nr+4gaw0dFUz3SSEtJJjlUBzzkEknpkda+kdM+EfgLSoTHF4W025ZmLPJewLcOxPU5kz+QwK0PAPh2Dwr4D0jSLZAogtlMhAxukIyzH3JJr5r+L/xx8S33i+/0fwzqU+laZYzNb7rVvLlmdThmLj5gMggAEcVRcYqOx9GH4X+BDdLcHwfom9VKgCwjCc+q42k+5FcF8c/Cvhrw58J9Q1LRPDOiWV5HNCEmi0yEMoMig/w+hrmv2d/ip4m8R+Jp/DfiK8bUoBatcQ3E5zLGVKjaW6sDu78+9d1+0b/yRPU/+u9v/wCjVoKauZPwl+HvhnxJ8K9M1HVrCV7m9RjOYLyeBXwzAfJG6qOPQCtU/s7eAH1WW6nsbuSBlASzN7L5aY6nO7eSf97HtWh8CP8Aki2g/wDXN/8A0Nq5342/Gu4+H9zDonh2CGXVpohLJNOpZLdCSB8vdjg+w980lFLZEKnCLukjP+HHgnwyvxX8e6DNodleaZpjWn2O3vohciDcjFtpk3EZPXn09K9Lm+F/gSeaKR/CGihoiSoSxjRTn1AADfjmvIv2Z9d1HxN4q8Z6xrU4uL66W1aWQIqbiPMA4UADgCux+Pvj7W/A3hSy/wCEbZYrvUbgw/aCgZowFz8oPGT6mmVZLY6u7+F3gS9tmgm8IaKqMMEw2McTD6MgBH4GvGfiJ8EG8HgeJvBl3MLPT/30lpJmR4lHOFP8Q9m6epHTz/w78ZPGvhLVBe6pr15qnmPmTTbuUyqR3yWz5fsF/Eev2DpWo2niTw7a6hbgSWeoWyyqGHVHXOD+dLSSsQ1GrFxeqZ83/BDULb4h+P8AVIfFGkaffW62fmpFcWyyKrAqu7DZGcd8Z/Cun/aG8F+HNG+F5vNC8OaZYXC3kQaa0so43CnOeVAOOlQfB/w/Z+Hvjv4rsbO5UtbRvGYChUhS6spHUEYIB5684Ga6n9oqe7tvhistgpaUX0WVC7gykMCCO4PpSjFRVokU6cKNPkpKyXTY0Pht4H8J3fww8PXN14Y0aae50uBp5ZNPiZpSUUksSuWyRnnvW7B8LvAlu8jR+D9FJkYs3mWMbgE+gYEKPYYFT/DyNofhr4djkg+zuumwBoef3Z2D5efSvnL4w/GDxZF8SL/RLDUrjTNM06cR+XYuY5JQMEkuPmyc9AQKfQ1vdXR7f4l+B/gPxHaNGNDt9KuMfu7nTEEDIfXavyn8Qa+ZvHHhDUvhr4ugtNfbzo2Ba01SJP8AXx9CHXvjOCDzz1IxXsXwq+OZ8S+OovDd0kptLqD/AEWa5OZRMoJKk5O4FRwTzke9dV+0F4cg134R6jcOq/aNMxdwuRyuDhh+Kk0viWpmkqsE5K1/vR89+Cfhzr3iXxYIPD6Rrpso3XVw5zDEueoPcnqo684PevfrD9nbwJFBH/a9ncarOqBTJLcyRD6ARkcDOBkngAZra+DfhmLwx8LtIgCj7TdQrdXL45Z3AIBPsMKPYVzXjD4r3Z8T6l4b8N3UFi1pCQdQZVkfzwclFRuOFB65z+FS+WC5mY1JU8NB1anTqbun/Av4e6VqaX1hoXluildj3MsinPfDscH3GK434r/BzwHoHw21zWtJ0EW+oQReZHMLudtrFhk7S5Xv6U74O/FrxP4i1230LxXbpcvcRSSx3qxCJlC9Nyj5TuwegHbrmu7+McUU/wAItejuZxbxNAN0pUttG4dh1qly/EjeLpu9SP39dD4d01/L1K2YdpF/nXaPaynxdpkMcbu0d7ZocL02RRA5ql4Z0zQdS8R2un2rzySOSwuLnCRgqCfug5OcYHPetHXtQmk+JljaifKJqSsypwvMo2/X5Ahz71i5c1RJHA6zqYtU4q2l3f10Z9uzf8er/wC4f5V8PeHNI1Hxl4muPD+hWiK0t4HdVyMxhiGZ264Gfp6CvuCb/j0k/wBw/wAq8S/Zp8ORW2la94hkjBuLy/e3jfuI0OSPxYn8hW7Vz0ZwU9zqvDfwJ8EaE4ubnR4NRvCBue5G+NT/ALMZ+UfiCa6K9+G/gvULdoLrwrpBRsZ2WaIeBgfMoB6cV558f/izqXga3s9G8NusGpXyGWS5KhjDGDgbQeMk557Yrx7wt8Y/G+h6xo0k+tXGpQ30m6e3vpDKrq0pTgnlPunGMfSgbaurn1I/w58ECNseDtA4H/QLh/8Aia8I/Z18N6HrXijxjHrGi6fqCW0sXkLdWqSiLLy52hgdvQdPQV9NMd0JPquf0r55/ZjH/FV+OT282H/0OamUew3Xwz8EXtzFPc+E9HaSL7pFkig8Y5AGG4HGc4ptz8MPAt1CYpPCGioD/FDYxxMPoygEfga5L4//ABA1nwJ4Ssj4ddILrUJzCbllDNEoXOVB4yfU187eGfjh468Pa0t7Nrl1qkDSBp7S+lMqSL3Azkp7bcfQ9KAtodx8ZfgF/wAI5Z3XiXwg8k2npmS6s5DueAd3VurKO4PI9T28Ls7O41C+gs7KFp7m4kEcUaDJdicACv0N0y/tPEfh21v4AJLPULZZVDDO5HXOD+Br57+Dnw/tNO+P3igOqvF4fdvsqkcKZSdh+oTIoA6X4afs66PoFnFf+MV/tPU5E+e13H7PCCOVIH3zzznj2716SPhx4HUADwdoHHrpkJ/9lrI+L/xDPw58EtqFrGsuoXUn2e0Rx8ocgksfYAE478CvlAfFbxxf6hLJfeKNZYXHDLbXbxbPdFQgA+wHNJ6akvRXPua2toLK1jtrOCO3giULHFEgVUA6AAcAV8dfEXwtqHjP9pXWND0lQbi6uUBdh8saiJCzH2Ar6n+HstzP8ONAlv7mW7uXsYmknmcs8p2/eJbkk+/Nea+DY9PT9qjxi0kyvevbL5S+WflG2LcNx74xxTuHMrJnQeEfgH4H8M2KC80uLWr3aPNudQXzFY+0Z+UD8M+5rprj4aeB7m1a3k8I6KsTckR2McZz6gqAQferni2w17U9BktfC2rQ6TfOwxdSwebtXuAM8H35rymw8D/Grw/fSXlh4rsdULNuaLUb+aVH9ghjAX8CMUrg207WOR+Mfwi0DwLpi6x4RuBa3M0mxLCctMxHcxE5K46ktnHYjvxPwx+DWpfEXUpJbq8Wz063cC5nU+Y5J52r23Y9TxkHFV/jGvjpPF7z+O0niNwM2yhswBP7qbSV47857nrX1h8LvDcHhT4a6NpsCBX+zrNO2PvyONzH8zSV73JSbfN/w5X8OfCDwL4Zt40sfD1nPNHg/ab2MTylv725s4P0wKk8U/Cnwd4ss2h1PR4YXx8s9p+5dD65Xg/QgivDfi/8bdfk8Raro/hm/k03T7BzaGW3O2WaXo53jlQMEADHr9PPV+Nnjz/hFrvQp9cluILpQhuJvmuEXuFk68jg5yfTFaNNLUuybI5vhu2qfFafwf4L1FNYjSUgXm3akaj7xYjj5ehI4J6dcV9MeDf2f/BfhiyT+0dPj12/2/vLi+TehPosZ+UD6gn3rmf2WfDUFn4Mv/ELoDc39wYVfHKxx9vxYn9K0/jv8V7rwRHa6Rok4gv7qPzZJFAaREzgAZyFyQfmIPTjnkTewSlZXO9m+GvgiaHyj4T0aNNwf9zYxxnI6HKgGrJ8F+F7fTbm2t/DekRQSqTJElhEFc46kBcGvlv4bfGLxsfHlvFc6tcaja3TkSWlyxkXpxtJyV6dj9c19fzc275/uH+VLR6Mj3ZaNHy58Bfh54Y8Y3niKXxHpf2o2V0q2xWeWLywS2QNjL6DrXsN58Bfh3e3EEsuhMPJyNq3c3z/AO8S2Tjtz7dK5b9ni5M9z4nQTWxSO4QLDbKQsXL8EkDJ9xn610nxr+Jd98NvDNpcaTaQ3F5fTGGN58lIsDJJUYyfbIp7jj7yu0auofCPwff6F/ZI05ra2U5j8mZiYj6ru3AdfSvnf4pfBO+8CQPrEV7eazo+7BOMSQZ6eYfTtkD8q0/CX7R3iiDWEfxFLb6lp1xIAy+SkT25/ugqBx6Fs+5619NyR2HiPw+0cyLc2GoW+GRxkOjjoR9DQtFZExpwjeMVbrpofBeh2GseLNYt9B8N2YEtw2BFCMZHdnc84HXk4HYV9JeEf2YPDOnWaSeLp59YvGX5445GhgQ+g24Y/UkZ9BWj8CvhvB4Nl8RXkyiS6bUJbOCQ8lYI24/E9T9BXoPi4eLX0sR+B/7JS9dsNNqkkgWNfVVRTuP1IA96LWNFFR2OOvf2dPhtdWrxQaLNZOwwJoL6YsvuA7MPzFeaeLfg1J4T1jTXS4F9pLFbeKSfA8sqCwWQDqCQTx1PXHAPrfhqw+Kmmzx/8JFquhazE7Zm5aFoxkcR7IQDgZ+9nPHTrVD4/XSWHw1N5IgfyLlWVT0LFWVf1YH8KUrpXW5y4iDq0pct09bHzR4j0rV4tH1SVnN3bQ3RW5uhJw8pILcHnA+VRx3OO9c/4daXzZVeSQQSxtGqBv8AWSYyqj6kAH2NTG7vn0SDT3vJ1tpS11dKGJ3FiNq7e5O0Ef71TeHYIJfFulnV5VsbOOdNiZLMOcr8oBPLYySO9Ompxg5SMKcZ06Mvaa77Lsvz9ClaX63812Lu2j3yW7/ND8mAo3Yx06L6VQ+xJOubKdZG/wCeT/K4/ofwOfatoRaLD4yNrpUlxc2kspt45HIXcrjZnpnvWJ51opwLMnH96U/4VpF82sjqpy5nzJNXSKrxtG5WRSrDqCMGm1rRanZyeXFf2ZkgDDLCQl0GecHr07ZxVrV7XQ7i4M+hm4jtAo3AjeyHvkE5x75NX7JOLlFr9Tbmadmihp5N6n9mv8xkObfP8MnYD/e6fXHpWppkTf27p1r92Cw/f3Ddl/idvrgAe+0Vb8DeGjqniy0KXEMlvbuJmdWI5XkKQcEZIq+bTSNN07X4dTvGjuozJHbumf8ASptp3ZODwMgYyOp9a4qknF2PMxGJjGo6cdXZaJX3dr/16mHaXSz6ZrLp8kEVqsUKHsDKv6nkmuc711aaPDb/AAzl1T7comu7lY/s+OSEJ/8AigfyrlVBZgAMknAFVTs27d7HVhpRk58vR2+5L9S1qRxfN/up/wCgijUSWuVcnJeJD/46KTU/+QpcgHIWRlB9gcf0pb/78H/XBP5V1Sfxep0roEY/4k8/vPH/AOgvRe8i2b1hX9CR/SnTER6RbR/xPI8hHtwB+oam3XNnZH/pkw/8fb/Gh7W8v6/MBdKYLrFmT089M/TIpXX7WjA/8fUQx/10A/qP1qrC5jmRx1VgRU99mDVbkRkqUnfBB6Yao+yPqVaKtTqtzGbmIANn96gGMH+8PY/ofwqrUDCiiigAooooAKKKKACiiigAooooAmuJxKVSMbIk4Rf6n3NQ0UUAFFFFABRRRQAV9mfs2/8AJF7L/r6n/wDQzXxnX2Z+zb/yRey/6+p//QzQB5v8b/FN14M/aK0XXbIkta6fCZEB/wBZGZJQy/iCfxxX0lp1/Z69otvf2brPZ3sIkQ9QyMP/AK9fKH7Un/JWbb/sFQ/+jJa7n9l/x59t0q58HahLmazzPZbjy0RPzKPoTn6H2oA8Y+L3gZvAfxCvLCKMrYXB+0WTY48tj93/AICcj6AetfQX7Lv/ACSu4/7CEn/oK1o/tB+A/wDhLvh+9/ZQ79S0fdcRYGWePH7xPXoM49VFZ37Lv/JK7j/sISf+grQBm/F5N/x88CMOscsefoZT/hXsPjD/AJEjW/8Arwm/9ANeO/FeQJ+0V4GRvuyKin6+bkfqBXsXjD/kSNb/AOvCb/0A0AeYfsu/8kruP+whJ/6CtY/xf1qHw9+0N4G1O6O2GGMCRv7qs7IT9BuzWx+y7/ySu4/7CEn/AKCteeftXf8AI76L/wBeB/8AQzQB9LeJdGj8S+FNS0eSTbHqFq8G8dty4zXwf4l8E+IfCetPpetaXcQzeYUiYRkpP6GNsYYH2/nXvvwa+P8Ap40m28O+Orr7LPbqIrbUZSSkijosh/hIH8R4PfHf6CtL21v7ZbixuYbmBxlZYZA6sPUEcUAeQ/s2eFdZ8M+B799dsZbFr+7E0MUw2vsCAZKnkcjvXF/tb/8AH94V/wCud1/OKvpKG8triaWK3uIpZISBKiOGKZ6ZA6V82/tb/wDH94V/653X84qAOls/2WvBNxYwTPqmvhpI1cgXEOMkZ/55V8u63ZR6b4g1CxgLNFa3UsKFzliFcgZx34r1uD9qXxtb28cKaXoBWNAgJt5s4Ax/z1rx7UL2TUtTur6dVWW6meZwgIUFmJOM9uaAK9d/8DP+S2+HP+u8n/op64Cu/wDgZ/yW3w5/13k/9FPQB9ZfF7/kj3if/sHyV8gfCb/kp+ij1u4v/Rimvr/4vf8AJHvE/wD2D5K+QPhJ/wAlY8Pjsbtf8f6UAfb3iT/kVdV/685f/QDX5/8Ah/UF0jxNpepPnbZ3kU7YHZHDf0r9APEn/Iq6r/15y/8AoBr876AP0Zzb6vo+YnD295B8rqeqsvUfga+EvHfw613wHr89lqVlO1qJCLa8WMmOdSflIbGN3qOoNerfBH472nh/TYfC/jOVo7OI7bO/wWES/wBxwOdo7Ht345r6X07VLDV7NLvSr23vbdxlZbeVZFP4g0AeEfsveENc0O31rVtYsJbK2v0ijtxOpR5NpYltp52/MMHvVr9q7/kQdG/7Cf8A7SevcUu7aS5e2juImnRQzxK4LKD0JHUCvDv2rv8AkQdG/wCwn/7SegD1jwJ/yT3QP+wfB/6AK+K/iz/yVzxL/wBf8lfangT/AJJ7oH/YPg/9AFfFfxZ/5K54l/6/5KANP4Df8lw8O/8AXSb/ANESV9U/GX/kjfiX/rzb+Yr5W+A3/JcPDv8A10m/9ESV9WfGCNpvhD4ijQZZrQgZOO4oA8P+BHxV8WwwjwxBoU3iKytIy8fkyBJbZB/CC3ysM9ASPY9q9Hf9ozw7a6omnap4b8UWF4xx5M9ggYH/AHfM3H8BWT8CvHfw603wzFodjcxaRqmf9JN84U3b9NyyHAIPZeCPSvcUkSSMOjqyEZDA5B/GgCrpeoR6xpNvfRwXEEdwgcRXUJjkUHsyHkH2NfEXxo0Oz8PfFvWrLTUWO2MizLEgwIy6hiv5k/nX1r42+KnhrwTp8r3eoQXN8qny7KGUF2btux90e5/DNfFniTXP+Eh8SX+s6nK1zd3sxlfYNqLnoozyQBgDgdKAPv7TP+QTaf8AXBP/AEEV8H+IVlbxnqjXO2Dy9RmaK4fA24kJGR1Yfmf5V94ab/yCrT/rgn/oIr8/PFhLeNNaJOT9vn6/9dGoA+/dD1CDV/D9jf2siyQ3NukiOpyCCor4z+LfhbUfBvjK88+zVIp53eG6Me4TITlSCcjIzggYIK+4rs/gP8bLXw1bJ4W8WzmLTt5Nnesci3JPKP6LnkHt9On03NBpfiDSwtxFaanYTrkB1WaKQevOQRQB8O+A/CGreO9ctdOtElnS4nX7TKSdsMCkFmY9s5wPUjFfct5cwaVo81zcOEgtYC7sx6Kq5z+lMtLHS9B04x2NraabZxDJSGNYY0HrgYAr5x+PPxus9W0+Xwn4OuRcW8vF/fRn5HH/ADzQ9we7dOwzk0Ad7+zhdi/8BaneBdouNXnlC+m7Bx+tec/tY/8AI1aB/wBecn/oYrvP2Xf+SV3H/YQk/wDQVrg/2sf+Rq0D/rzk/wDQxQBj/st/8lZuf+wVN/6Mir2H9pf/AJI5P/1+Qf8AoVePfst/8lZuf+wVN/6Mir2H9pf/AJI5P/1+Qf8AoVAHxvX2j+zl/wAkS0v/AK73H/o1q+Lq+0f2cv8AkiWl/wDXe4/9GtQB4j+1B/yVyP8A7BkP/oT15l4U/wCRz0X/ALCEH/oxa9N/ag/5K5H/ANgyH/0J68y8Kf8AI56L/wBhCD/0YtAH6D3n/HjP/wBc2/lXzz+yX/x5eJP+ukP8mr6GvP8Ajxn/AOubfyr55/ZL/wCPLxJ/10h/k1AE37Wf/IF8O/8AXxL/AOgivf7X/kHw/wDXJf5V4B+1n/yBfDv/AF8S/wDoIr3+1/5B8P8A1yX+VAH56+JP+Rq1b/r9m/8AQzXqP7L/APyVyT/sGTf+hJXl3iT/AJGrVv8Ar9m/9DNeo/sv/wDJXJP+wZN/6ElAHuX7QV39g+FT3YGTb6hay49dsoP9K9C069t9Y0W2vbSQSW93AsiOpyCrLkH9a80/aS/5Ive/9fUH/oYryv4IfHSDwrZR+GfF7yf2Yrf6JegFvs2f4WHUpnoRnH06AHn3xM+HGu+B/E16L6ymfTpJme3vlQmKRCcjLdA3OCDXoP7KP/I761/14D/0MV9PaXrOma3ZrdaPqFtfW7DIkt5VkX8wau0AeO/tO/8AJIx/1/xf+zV8fV9g/tO/8kjH/X/F/wCzV8fUAFfVn7KP/Ig6z/2E/wD2klfKdfVn7KP/ACIOs/8AYT/9pJQBzn7Vlx5XiDw8jrvie1m3Ie/zryPQ+9dB+ytEieGdeaF98bXiFc9R8nQ+9cz+1n/yMHhz/r1m/wDQ1rof2Tv+RX1//r8T/wBAoApftaf8eXhv/rpN/Ja+cbW9mtMhNrxP9+KQZV/qP69RX0l+1hC8un+HmjG7Y8xIB5xhecV8y0dBNJqzP0L8JEN4L0Yqu0GxhwM9PkFeX/CrVUg+NXxD0eb5JZrsXUQPG8AlWx+a/nXp3g//AJEnRP8Arwh/9AFfKfifxfqng/4seJtY0uQGW01hVRJBlSp3ll9gdvOKTbWxMm4rQ+tta1N9H0ia+j0691IwjJtrFFaZh32qzKDj0zn0zXk91+0/4Qsbl7e90PxLbzocPFLaQoyn3BlyK6XwD8aPCvjqyhVb2LTdUIxJYXUgVt3+wTw4+nPqBXoQIIyDkUyz588W/tCeFPF/gbXdE0vTtZS8vLGSKITQRAEkY7SE8Zz06A181TsLaI2sZBY8zMO5/u59B/P6Cvu74nzyW3wr8STwttkj06ZlOOhCmviF7S3WAawUUWzNhbf/AKa91/3R1/T1pN2M5T5Hr1DRFXTdRsbycbp2nQwQ47ZHzt7eg7/Tr+gkRzaof9gfyr87rWeS61y3mmbc73CEn/gQr9EIf+PSP/cH8qEhxjbV7s8k/Z/1+K+s/E+ku0YubLWJpNigAlHbhsD3UivSvEev/wDCN6Wb9tK1HUolbEiadCssiD+8VLAkfTJr4t0TxzqXw8+K+oaxpo8xRezR3Nsxws8ZkOVPoe4PY19c+Cvif4X8d2CTaPqMaXO0GSynYJNGfQqev1GRTLOQvv2kfClhcNBNo+vtIgG9Y7eElDjO0jzcgjuK8++K3x88NeNvh/d6Ho1lrFveTSxOklzDGqLscMclZCeg9K+n68v/AGiXVPgtqZdFkHn2+VbPP71fSgS21O38I61B4i8HaVq1qwaO6tUfjsccj8DkV8g/Gb4ba34T8banqBs559Ivrh7mG8jQsi723FHIHykE456iuk+Bnxjt/B83/CPaysx0i4cvEwG82znk8DkqfQc5+tfUej6/pPiCzW70PUrW/gb+O3lDgH0OOh9jQM+a/wBmPwfrsHjKfxHdafNbaYLJ4UmnQp5rMykbAfvDCnJ6V6l+0b/yRPU/+u9v/wCjVr0w3dst0ts1xELh1LLEXG9gOpA64rzX9omN5fgtqaRIzsZ7fCqMk/vVoAu/Aj/ki2g/9c3/APRjV89ftK/8ljn/AOvOH+Rr6I+BsUkHwb0KOZSjiN8qeo+dq8C/aMvVtPi9OYbeNp/scP72QbtvB6KePxOfbFAm9NNTqv2TbeWK58TySRsiyR220sMbuZelbX7VN3LaeFdE8ghGku3UvgbgNnY9vqKxP2TppJ9S8VSTO0jmO1yzHJPMtan7WP8AyK+gf9fj/wDoFHqK11aR8ukk5J5Nfenwp/5JH4X/AOwZD/6CK+Cq+9fhT/ySPwv/ANgyH/0EUFHm/gD/AJOq8cf9cf8A43Wv+0w7x/CYPESrLfwnI7dayPAH/J1Xjj/rj/8AG62P2lpjB8KA4AYfbogynoww2RQG53Pw5uZrz4Y+G7m5ffNLpkDu2MZJjGTXyj8VtaVfix4htbqC1AS7KpObON2AwPvZXLD8civqv4Z7f+FV+GPLBC/2Vb4B6geWK+OvjH/yWPxJ/wBfh/8AQRScUyJU4yVje+DrTx/Gjw4JLazMTzvsuIIgA37p+hH8jz6ivp/4syeV8I/ErhVbbYSHDrkH6ivlD4Ezyx/Gfw/GjkJJM4dc8H90/avq/wCLMbTfCPxLGmNzWEgGTjn60JWQox5VZlv4da3D4i+HWialbspEtoiuFx8rqNrLx6EEV87/ABU8MeLfB3xQuNetlurrQ72484SxgvEgb7yOOi45wT+HNUPgp8VZvhy15pviRZjoburABSXglYgZUd1IBJH+zkc9fqnRfEmjeIrVbjQ9Ttb6NlDfuZASuRkZHUHB6Gk0pKwpwhWg4PVHzD8HLWVfj9a3XmmaKeCVwT1j3R7gh+gIx2x+Q90+N/8AyRjxF/17j/0Na72uR+KdjDqfwz1izurhbWCWJRJMxACLuGTzQvcjr0FFKjS12S/I+M/B2nsrXWsyxs0VkhCYXIMhB5/4CuW+oA71Q0Wd77xxpszcvLqERx/20FdPrviaTwrHdeHNCeB7QxmJ2xuOCMbsg/eOSfQDArC8KxjT/EGlXM6gzzXcSwI38ILgFyP5e/Pasqbbbm+uxxYWc6kpV5r4rcve3n2Pvub/AI9ZP9w/yryb9nS6ZvBOpWUmA9vqcxAz2bDf1r1mX/j1f/cP8q+JPDPxA1b4e+JU1WwkaWOa8ma5tGYhZ49wB+hznB7EVs7noSbTVj2b9ov4Zav4pudM17QIWunt0+zXMKDLKhbIcDuBk5x9a8dh+HHiO6+I9ho+mWbXv2Uwb5YVbyoFGCS7EAL3bHvxmvq/wd8S/DPjfT4J9K1COO4lXJs7hhHMpHX5T94A9xkV01zd29nAZry4it4l6vK4VR+JpWd73JcZOopJ6a6f8EeRthI9F/pXhf7O9nHa+IPF0sRyt3JHMnsvmSjH4MGH4Z717s2DGfQjrXhP7P1wr+OfHlvDN50EFxEsLDptDSLx/wB8ih3uglfnil5lb9rH/kV9A/6/H/8AQK+XK+sv2odGvNU8G6bPZorJZTvNNlwuF2dRnr9K+YrHQbm6AeRXjQ/dAQs7/Rf6nA96fMkN1qabTeqPuH4UnPwj8L5/6BkP/oArhvAd0NO/aL8cWt0fLOqGN7cE/f8ALXn9GP5Gu++GcP2f4W+G4hxs06EckH+EdxxXyx8T/EUvhv496zqmlx41C0vVeOaR2IUhF6KCOMcYOe9HoNt2Vj6G+OHgW58ceB1TTIPtV9p832mG28zZ53BDLn1wcjp0618rQ+HvENxqI0hLKazvMgf2dZWrNOQf7wHOP99hivqX4dfHHwz42sYYb67h0nWMBZLS5cIrt6xseGB9OvtXpZlRY/MZ1CYzuJ4x9aGrilBSZh+B9KudD8B6Jpd8pW5tLKOKUFgcMFAPIr5T+LfiHXPDHx+1TU9LupreS3uI5Lc5+Q/ukBGOhB5Br7HhniuYVmt5EljcZV0YMrfQivlXxhBaQftGapN4q0ttR0F7uNnhEyA58tMMFJywz1UYyPypNpLUVSUYJOTVvM9J0H45au/g6217xJ4A1oWcwwt5piLMkmOr7GKsinsTkehNdB4K+NXh/wAeakljo2m62kjEgvPZDy0wM/M6MwX8TXaaZq2l3tvGmm3EJUKNsK/KyjsNnUdPSrN5f2mnWzXGoXUNrAgy0k8gRVHuTxTTTV0XGUZrmi7o4n40+HrTxD8KNZS6hWSa0ga5tmI+ZJEGRg+/3ffNbXw+1yHxF8PtF1K3YES2iK4B+66jayn3BBFeO/Gb4tQ63pzeGPByRX0U5Bu7ySby42Uc7UO5Sw4BLDjHTOaq/D3xvqPw+sbM6raLc6DqB8yX7H8z20hxmQDup7jJPcdcUnJLdnNPFU6dSMJNa+fU4r43fDPXtC8ZXl/YabNcaJdyvcxzwIXEbudzh8fdOemeMYx0rh7f4d+KbjQp9a/seeLS7fBlu5RtVQe+OpHuAcV92aRr2la9aLc6PfwXcTDOY3BK+xHUH2NQ+IPEOh6Bpss/iLULW0tth3idx8w9AvVvoAapts6dejPNf2b7uCL4fzaILyCe6sbhpHSItlEk5XIYA9QayP2gfhxcazfWviqw06fU2t4Bb3FtAGZ9oJKsFHJGWOSOnHFeU2nxJtPBPxYuNU8AabMmkXEuJLa5BD3KE5IGc7Rnle47+lfUfhL4k+F/GkCnRtVgN1j95ZyuFmjPcbT1HuMj3pJNrUhJyjZs+W/AFjruq+NtPtPDOjmKOG6jF49vCRHAgYbw8h5Jxngnr0Gea+yp+LWT/cP8qS4ure0j8y6njhTON0jhRn6mnT828n+4f5U9Og4U4w+E8A/Ze/4+fF//AF9J/N6d+1j/AMivoH/X4/8A6BU37NVlLZXvi5ZgozdIVwwORl8HHaveqck07M03Pz/8G+EfEHi3V47Pw/pk14JGCSvtIijXuXfouOvr6c194aFpaaD4b0/S1kLpY2yQb2PJCqBk/lVm7vbXT7V7m/uYbaCMZeWaQIqj1JPArw34m/HzSG0/UND8HzteSGAi41CBtqRgkKRGf4mw33hx6H0RMnZXPQvhp4nt/ElvrpgODb6tOArYBaMtlXx6HnBrZ8WeKf8AhE9NW+fQ9X1eIttddKgSZ4/dlLqce4zjvivkPwF4/n+GPiP+1Et3uEvFCz23nn99FnIfkfe9Pxz1r638L+PfDvi6yhm0nUYvNlTf9kmYJOn1Q89eMjI96qUXHcE9NTgLr9pnwba6o1g2m6686uIzst4SA3TH+t6g8Vzvxh8e6Z45+HsWm2drqNg815G+byFFJUMwAADkksRx+ZxX0JXlX7RcrQfCmSZAS6XSbMDoSGXP4Zz+FT1uZVFUsuV/gfJms615tw9tpyrBaxfu0K/ecDjJPvjt/SqmhH/ioLF2PypcI7HrgBgSfyFUMc1q+G7KXUNX+zW+0SSROiljgAspUE/iwqpOUtCpJU6bt2KdlN5OqW8w6xzK/wCTZpl5H5N9PF3SRl/I1PqOmz6Pqz2V1s82Fhu2HI9aTVx/xOrw+s7n8yTUuLjKzKVnK67FKrWnw3U96iWAbziflKnGPqewqaz0e5uo/PcC2tFOHuZshF/qT7DJroYJoNLtUTQkL3Mh3JPOoGAOsjA8Af3QT6nHQ1Ep2+HcxrV1H3Yav8F6lxo/s9q2madJDDduWLyINomJGGf1VFGcDuSSPSucub3+1LyKzeF51TEMDYxL17+uSc4NV72+AV4LaRpWdszXJJzKfQZ5C/z79sX44y0Cp/zGLhNiqOuw8c/7ZH6e5qo9+v5mNOn7Ncz3f9X/AK/4AeJI/IstPtbWQTWkEbFZE6FmPJPoTtBrK0rC6rbyOu5InErD1C/Mf5VNe3Zt9VmWLDxJ+5ZCPldV45/KnLBHHbXF5bnMLR7ACfmjYkDB/DPPf861pxWjR0UlyU0n/VzNYl5CTklj+dXL1DJqnkICSpWEADuAAcfjTdO/dTm6IyLcbxnoW/h/XFWdFsby9muJ7KCS4kt4y+EGSCeA34Zz+FXCLlZLqayaWpN4pl0mTUkXQUkW2iiCEOSfmBOce3SqE4zpdm3+3Iv/AKCf61r65oVt4dt7J5JVvJ7mPe0ROFiwBwcHnknv2qrL5d5oMRESxSpLKy+XwpAEecj1/wAK1qwlzyUtH2+4mLXKrbGOKtap/wAhe795mP61VFWtU/5Clx/vmub7Jp1IIJmglDgBh0ZT0YdwafdQrGVkhyYZBlSe3qD7ioKsWsq4aCc4hkIycZ2Hs3+e1QBXop80TQTNG4wVP50ygAooooAKKKKACiiigAooooAKKM0UAFFFFABRRRQAUUUUAFFFFABRRRQAqkqwI4IORU98oFx5i/cmUSL+PUfgcj8KrirP+t031MDf+Ot/9cfrQBWooooAKKKKACiiigAooooAKKKKACrWnH/iYQr2kbyz9GG3+tVakgfy543HBVgf1oAjoqW6TZeTKOgcgfnUVABRRRQAUUUUAFFFSw2sswyi4UdXY4UfiaAIqviF4IPJiRnuZly+0fcX0+pqW2is7RGupc3XlnCLjajv6epA6np+tVLi/nuWO9toJyVQbR/9f6mgBfs0UI/0mYbv+ecXzH8T0H60fbBFxaQrGf77fM35np+FVaKAHO7yNudix9Sc02iigCxb/wDHpdD/AGVP/jwqvVi15juR/wBMs/qKr0AFdB4Y8U61oVx5OmavqFjbMS80dpdvDkAZJ+UjnArn6s23y29zJ6IFH4n/AOsaAN3xL4h8Qa5ZxT6lruo6lZyNjZcXUkiq45+6SQDgj9a5mr2l3CpK1tPhre4G1wxwAezZ7Y9ahurQwNlcmMkgMRjBHVT7igCvRRiigAooooAKKKKACiiigAooooAKKKKACiiigAr2j4c/s56t4u0+01nXNQh03SblBJEsDCWaVD3GPlXPqST6ivF69i+Dfxyl8BRDRPEEUt3obPmNosGS1JPJAP3l746jt6UAZvjr4DeLvDGvSxaLpV5rWmSP/o1xax+a+09BIqjKkdzjHf6e0/s+fCrVfA9rfax4ki+zahfqsUdruDGKMHOWxxknt2ArvNP+K/gLU7NLm38XaRGjjIW5u0gcfVHIYflXPeMfj94J8L2Un2DUYtcvtv7q3sHEik/7Ug+UD8SfagDkP2q/EENv4W0nQUcG4urk3Dp6RoCM/wDfTD8jXy1W54w8W6n438TXOt61IGnmOFRfuxIPuovsP8TWHQAUUUUAAq9p4/0e/buttx+LoP61RFX7LjTNQb/pmi/m4P8ASk9iJ/D935lJHaNgyMVYdCD0q1mK9+9thuD36I5/9lP6fSqdFUWPkjeJykilWHUEVfg/5Fe897yD/wBAlqtHdBoxFdL5iD7rD7yfQ+nsav8A2fb4Xu3hfzY/tcHzAdPkl6jtUsmey+RkVc06SWGRpllkiii5YoxGfQfU/wCNVUjaWRUQZZjgAd6numVAttEwZIzyw6O3c/TsKbKaTWpoQ339r3bHUbWBlVd0k0aeWyIP93A9hkHtUq6lps0xSQ3FvaMgi8kKJAFHQ9R82ec+tUbsmws1sF+WR8SXHrnHyqfoDyPU+1Z+ajlT1OZUoz977v8AM6vSfAz6xeyQ2ur2WxYfOWRtwDDI45A984zjGKwTpF8GOyBnweqEMPzFOsrpHi+x3L7EY5jlHWJj/wCynuPx+tSeGW1naKZSjqeRmklO+rFBVlUkpSuuit+v9WNW9sLy8thffZpfOUiO4Gw5Jxw/4459xz1qKa1uYNJht1t5czv5z/IeQMqv/sx/GotLu7lNQiSN2YSN5bIXIDA8Yq1r1zMuqO9rcyNaMALdgxGUA2jP+0MYPvmj3r2D31NQ07/8AzRYXZ6Wsx/7ZmnrpV9J920m/FCKj+2XJ6zyf99mo2ld/vuzfU5q/eN/ffY2NF0m6XWbYy+TCBIM+bOin8s5/SqzW1payktqgds/8usbHB+rbf0zRo9nd3E8k9pC8gtkLsV/h4OP1FPg0e51bxG2nabGHmmkYxKWABHLdT7Unpq2TK8YuU5WS/rzLcWqaZcsqXtkbmUDCXE8hUnjgNtxke5qG4uJ5QYbadLYLx9mCiHP4jhvqTmq8uh3lrfXFreqtsbZyk7uwKoR1GRnJ9hmrEWoWcSiGFBJKoxFd3Cg7fbb0A9znFLR7akrkkvd978Sva6ffx3EdwYTGEYNvmIRT+J61PqWn6dY3rhrx5kfEkYgjyCjcj5mxz68daqS316kzJeO0x/iSf5wfz/mKtqltqWl/I32ea06hsspjY9fXAY+/wB4UO97sGpKSk35aFPztPX7tpK/u8uP5Cnf2hajgaVakf7TyZ/9CqtNaywDc6/L2dTlT+IqGq5UaciX/Dsvm+s3GH0uFB6xyOD+rGta8vvC8/hqztrbT7m31KNyZ7jdu3Lzx1weo7DpXNUtJxTsROhGbTu1bs2Xxp9tOP8AQr+Nm/55zr5TH6HJX82B9q27Wy0XTfCc82t2kzaq7k2YO7y3AwOSp6cn8qwrayRYftV8THAPuL/FMfRfb1P9a09Dmn1XXoluLlbWxZgs7OAYYo+gBDfLjsM/zqJ3tvoYYi7j8TstXbR6dNP8i8NbmsdGguRDbKs1t5Mca26c5kYNyQSQFBHJ6tmsie+3hXuLe3uLWQ43LCsbofTK45HvkGtrxZbaS15BaaddpHBbhoYZR80UhzuJzk4yWPPI+grP0Hw7qt7fTRx2Zlt4UEl0pYYMfXI556cEVMZR5eZ6GVGpRVH2s/dvrrp6f13MS+tvsd/Pb53eU5XPrg1D1xVzUg09zJeKxkSZyxOOVYnJBpbG3QK13d/8e8R4U/8ALVuyj+ZPYe+K2vZHfzcsbs9r8GfAfW/EeiWTXOp2K6RcfvpWcGSRTgYVACMEZPO4fQ1W+JP7POt6Jcx3HhCK51mxWMLswGnBHqFAz7cdAB1rnfhX8Z9S+H+sTrepJqGkXkm+4tlIDI39+PPGe2Oh9q+rdM+JHhHVLRZ012ztSUVmhvJVgkj3dAyuRipiuVavUxpw9lFKUvef4/I80+D/AMKNU0fxl/wlWvQtZiGwitbW2kbLswjVGcj+EfLwOvPSup+O2t2+m/DmSwkObrVJlt7dMEgkHcSQP4Rt5+taHiv4x+C/CWni4udXhvpXUmG3sGEzy444IO0cjqSK+Z/iD4y1z4ka19ovobjSIlXbb27xny1Q88v154zxjpSbUY2uTKUYUlBPyucJPGmnXLtf7bm+3EtFnKo3+2e59h+PcVnSyyXM7SSsXkc8n1rob3RGfTUvb+dBJCAkptgJty9FYlTt9jz6Z5qLTrWCNXvIrLckf+rlvJNibuxwMZx1xk9MYojJBTqxtzbvYz2tZp2jsbKJ5mQ/PsXOXP8Ah0/OrmqCztbpUldbk26LFHbxH5Fx1LN7tlsD16itLS720ivVvr+aS+ht5FAt7WHy4nY+g4zxk5wOQPWt/WHbxFJYwaF4Zj06zjcIt5ewKOCAOd3Bwc9yTWcqrUtVoclbFyjWSlH3bau6SX36/cjzi5uZr2cyyncTwABgKOwA7D2qe00m+vZQkFtIQeSxUhVHqT6V1Opw2vh7VJbTV9YlnkjAPkaXEIlOQCMtwBwewNQ/27Je7ItM0J58H92Ji0ij/gIwCfc5PvVe0dvdWhr9anKKdKPutb7L8bGdLouoPafZ9Ps5jbK26SdxtEjeuTwAOw96veHtBa1u/tdzfW0ZWKT91E3nNjYc525GPx/CpZIdYkUtqN5p2kx9R5pDOPoAGcfSn2VoouCZr3U793ikVUSMoGyjdySQPqB9KcJSb3M3VnKDSkvlr+OxdtNP/sjz4tPuGRXYN5sqSPEFIyCUYKpOMdc/yqxp1no1/dzJrWt3TRvGcyBkjy3oFVmIHXjFZN1JJcWdrIunWcZizEftcvmFAOVO3PzHBxyp6CmNcaoyFV1JoIx/z4WYt0/EkJWHK2r3OZ0pSi2p2b66X+9JlrTfDEEd4XjilaFw0bGQvjYwIJyIyM4Pr1xQfC1vasyzS6DDtOCbm6kLD8AR/Kse4SyOTqOpyyv3QzmRj+Kgr/49Ul7eaL5MV5Hp7XRf5JDIzL86gc8N3GD9c1Vp33NeWtzJpvXy/VsvPHY2SkJ4i0JGHQQ6YZCP+BGMn9apS6g+Ds8UXJX0ggdV/LgVTHiOOHi00bTkHYywCQj8TWnp3xF1Cxs7uCSzsZTPGVRhbonlHBwQAMHk559Kpxnbv93+RbpV1G6jf15f/kWS6ZZabqmnX82o+J7xJoIy0KOpBkIBOACeegrGitV85XTWmiZSCGkgl4x34BoHibVLlwHEcx/uiLbn/vnFarXhsI0/tGC3WcgMytNMNnfbtD5JI+gHr1qlTn0X9fcNU6tOTv16af8AyJP/AMTXU79bv/hLrC4uBH5eJmkj3L/dIZAD1q5/winiK6Bms2t5wGAZLh0njAPdDJnj26+maxpfF6l1ZBeEp9zbP5aKfUIo/maYfFl1M7NLqd1k9poI5gPpnGPwpcko7GTo4lWdOKj6r/Kx0epQvd+GhYjw9GL6Jx5s8EqK86+23I64+X2H4cytrd2jJ5sepWqxkjZPCZI/Qg9OMcHg1q2Him4WONGvbS6RSSI8tFIP++x5f4VsHVGvIVeS2uGTBZ57RRJMB/tDI3fVTj+VRUq1W1zLy7HPz4ii+WUU0/P9H/kcRfaAzf6RpLJdwH7yxE7oj6EMA2PQ4qlZxXtvfjyd1vKgLEuduAOTn2r0q+0y+s7eO5tbq11FJ48mByC230YSbv5iqlq8EGbu4sDbpE3zW80bkDP/AH0CuM8qoP55qqVbm0eqNqWYc8P5l+Po/wDhkiHVbvVvEdk19LptjIbW32ym2k2tEnJODn7xHbnj6muL/slrqI3GmkyQr/rRJhTD/vdse/8AKvSE0vwteaU/2C5urG/mYtLFFctIpBJxuAOQOnDAEVzt5ZX1ncK093EYlP7tpLd9p7YDxhs8dmP1FdblQSSinHyHhcRSivZwXLbo1/w6Od0tLSLWbOMZunNxGMj5U+8PxP6VUutQnmkcBxHHuOI4xtX8h1+tdfYeF4J9VgvYXS1aNvPe2V1lyF+bKqPmxx0IGKx5NMissvaJFcSDnddqyhf+AsAv5kipU237h3QxFOc3y6ux71+yjJK+l6+JVO1ZIgjEdsNxn/PWrv7U88dv4Z0F5IFnb7Y+0OTtB2dSB1rx/wACfE/xV8Phe/2THo939tKl/t0wbbtzgKFlXA56VJ47+KfiD4jWNrZ+JbPQ4oLWUyIbOUo2SMdTI/b2quSct0dW61POLm7mu5N88hY9gOAo9ABwB7Cum8OW2iw+FdVvdaMwuJF8qzRMgSsOdvAPG4Ln2BpLDwrpd5pU+oS6ysMULhSgTczHj5V6bjz2rYij8PpOItXvJbK1gjMduwQ7y2edowcf7xH0Oa0+rN2UmkvVHHXlGcfZxutem+mtvn+Rh6bB5xL6mQZd26Ibc+Ux6L9T6dF6mo47VbnUpbnV2AS3G6WNSSIVHRCe7HoAD1PJHNQSXs+pMY7UJY6fD1fJ4HqT1LH0HU1pLFHq9vDpyP8AZre2X7RdTFfmdccE46vjAA9wO2ahySbfYqUmk3L/AIZf5m54g8Rz6ppb6m2lrp0l1ANOtIkHJQtuZhwOoIUfjXJa9dNZTR6fbOUNsAJGU4JYADH4AfmW9a7OXxPGurW+o6xYxyWWkQeXa22BuZiVG7nuuAM+o49vNr+4W71G4uETYssrOq/3QTnFcVHmcrs4cuhJy96Fktd7q76d9Fq/NkhvUnwL2BZD/wA9EAR/xxwfxGfer1ta7NJubiwkMjOyRhQNsi/xH6/d7fpWZbWk93Jst4y57noB7k9AK7rRLjS/C4gXWrWK9iWJncSAEb3IPyKRljtVRngcHnmuidXl3V3+J34qr7ONoq77I46GxubuTz7p/KQnmacn5j6Dux9hW1qIsNL1GeaWISTM+USQBm+u3lVH+9k+3ej+0JtRnO22kRmGPt8gAdFPucKF+nPbParOoWUGk6o0xg/tC6lb9yCNytwPmx2H159h1qJXk7mE6jckpdtkUS7XYF/4ilaO1jGba05zN9B1x6sevrS6dZ33jDVlsLLZawyEsXYfLkDjcQOfQDoOwqK5t5Jbk3mrSC5uH5YO+yJPYt3x/dX86p3N5E8gMt3JLt+6lunlxr/u5/wpqm2rrQuNNuPuaPp2Xouvq9yS9gi8O6hPaqyXV9A5Qygfu42HdQep9yKr6ZK6XUt+zEyWymVWY5PmdFP4MQfwqL7XArEpZo7dd0zsxz+BAq/c6lLa6ZBBGkEcs/76QpAgwvRF6Z9T+I9K05Ut3qdHK0knq3/TKMw+2wNcr/rk/wBcv94f3x/X86mtJhaaYxlXfFcy7HTuVUc/Q/OPyqOHWb6GdXFw5APKE/Kw9CPSuj1ayng03Srmz1D7QlyGZkba3ljgnJPHGQOfSuunFSTlHp/wxpLSyZUvbuGLw5b6Db2Ky3MrCZblV+ZgWJUdM9CKjtpp/D0M1vb6hHaz3C7J+N5xz8uACB169fSul07xJp9nHLcCwjnltixjvJIgm6PPKoAM8A/44rFvtZ0PVNJuETRvs86OZTcIQGOW6fr0rrlGCSkpq9tPTtp+Zim7tW0JJPBGqxWF7Ddz22LaEXSkuThfmzjjIyFPHsKxLU4srZfUXLfnGB/SrhIurMOl8+5rQptmJGcOeM9PzxVc20tvbxGSMgR2shLDlSWYjqOOhFYzULpwX9XLi3b3jFHWrWqf8hW5HpIw/Wq8aF5FUdSQKn1J9+q3bDoZnI/76NcP2TfqVaKKKgC2v+l2u3/ltCvyn++np9R/KqlOjkaKRZIztZTkEdjU92isFuYlAjl6gdEbuP8APagCtRRRQAUUUUAFSQQtPIETA7knoo9TRBA1xJtXAAGWY9FHqalmuEWPyLbIizlmI5c+p9vagCTGnrx+/bH8QAGfeiqVFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAAKs2Tqtxsk/wBXKPLb2z0P4HB/Cq1AOOlACuhR2RhgqcGkqzejeY7heky5b2YcEf1/EVWoAKKKKACiiigAooooAKKKKACiiigCzf8A/H1uHSRFf8wKrVauP3ljayDqoaJvwOQfybH4VVoAKKKlhtpZz8i/KOrMcKPxNAEVTQ2ksw3ABI+8jnCj8al3W1sfkH2iT+8wwg/Dqfx/KoJbiWdsyuW9B0A+g7UATbra3PyL9ocfxOML+XU/jQhn1C4VHcAdSTwqKOpx2AqtVuTFpZ+SP9dMA0h/ur1C/wBT+FAEV3OJWVIsiGMbUB/n9TUFFFABRRRQAUUUUAWLLmWRfWGT9FJ/pVerWmDdqduh6SOEP0bj+tVaACrRXy9JQ95pjkeygY/9CP5VVqxdfLHbJ/diB/Mk/wBRQBXrRM+6ATkb0fEc8ee46N7Ejv6g1nVYtJEWQxzHEUo2ucfd9D+FADbiDyiHQl4n5R/X2+tQmtnRb200q+ni1i0N1AylTGMEBuxH+PvWbdwiGdvL5iY7o29V7UAQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAAq/Zc6bqK/9M0b/AMfA/rVCr2nnNvfIOr25/R1b+lJ7ET+H7vzKNFLVmxtluZiJG2xRqXkYdlH9e3409im0ldha2MlypkLLDAv35pDhV9vUn2GTWxazWVp4fu2h+0T4u4MkkR5+SXtzx9axr28N3INqiKFBiKJeiD+p9T3q3pcYuNOv4XOEVUmY+gDbSf8Ax+pabWpjNNq8vItxT6SYfONk1tcS5VMT/LjuenHoO3XpS2Wn2azNcyySWwt8MPtCho2Y/dG5ffnoeAaxLibz5iwXag+VFH8KjoK0Li5ksbG3sjtdWHnSxPyMsOP/AB3HTpk+poa6BOH2U3qVb20uoZDJcjd5hJ80MHVj/vDINVK0rWcKx+xyiIt963n+aOT254/P862NN8IS+IrS/urDZZNZJvlgmJwwwT8h5J+6eD7c0OXLuE6qoxvU0Xc5UVowSJqECWlywSVBiCYn/wAcb29D2/lnkYNFVubSjzIv6fE1vqEpmUo1tG7kMOhAwB+ZArqLPwxaX3gFL838cUpkIWKVskSZwMEdA3A574Oas+FvDcXifwvcPPqlva3ZYW6tIQSYwQ2CM+oGD7VyNxG+g69c2rOs628rwybfuygHB/A1zuXPJqL1R5Uqv1mpKnSnacGr6br56alG5tp7O4eC6ieKVDhkcYINRV099Ks8DJcD7WkKKwY8SGIj5XU+oGAw/qCRi3GnlYvtFo/2i37so5T2Ydv5e9axldanfTq8y97Rk2m6hdafY3rWszRiZViYDvnJ/kCPxq0pNg9vqkk0sDNEnkrCxV3IXaTnsvHXv274ht4YrfR47u7AZWlYxxH/AJakADn/AGRzn649cVr+4lu44LidtzsrKT6YPAA7DnpVb6Fy/eXj06jdS1O61S7ae7kLsxJxngZ/r79T1NU6Wg00raIuMVFWRZikW6VYJ22sOI5Sensfb+VJbzSWF6C6nK5V0PcHgj8qrVbjcXcawynEo4jc9/8AZNG4NJqzJLgPp1wGtZS0Eo3xtjhlPYjpkdCPUVHutbj76/ZnPdASn5dR+FSWsqFGsL75ULZRz1hf1+h6Efj2qtcW8trO0Uy7XX9fceopJ9CYvXle4r2UyMoVfMDHCtGdwb8v5da6LSL7RdBtb231ewj1K8mT9220Mtu4BwMnryRnHHHesrTp306ymvo2xKx8mEdQCR8zEd8Dj/gWe1SwCyWFby7jWOaQkQpgmNiOrMOuM9h1PtUSSloY1oqrFwd7eWjb3IGief8A03Vp2RG+4uMvJ7KOw9+B6elQXV6Z1WGFFht0Pyxr/Mnuff8ALA4pt6ty0xluiXL9JM5DfQjiq9WkbRh3LxzJokeOTHOy8f7QH+BrVtteuvD1sdNguJNsq/6V5bkFSR90H2B57ZJ9Aag0ZBFpF9PIAXUCS2Q/xSL1P0VWJ+uKo20ccVub68HmZbbFEf8Alo3Uk+w/XNZtJ3TOacY1LwmrpP8AE1ZtAudDjjvtQ3Lp1zGHiLLzcKRnbjseep6dRnjNK4hm1d0bTo/9HjG0RKMCAf7R/wDZj1rore41jWbOJvE10Tp8ceyK18keZKp/uKAMYxwxwB+latr4bvXsZ7nSJbTTtNto/MaVv3kjLjJz1G7rnnPpxis/a8uktzj+uOkv3zXN36f5t+hzui2Flp2rWhuv37tKox5RZmGedif+zNj2Fbmr6hothqc9hpEM86S5Lx+aSZXxkeY3XhhgKD9arXGp6LJZwx+DdKkk1IKUu5ptwaRf7y4fgE9enHXIzVO2Rra6hF9dAMWGLe0QR7z6YUAt9TgehNTZt80jJxdSp7WpddLX387L8Bt6NYuo9PltdMVHe3PzyQgkfvHxhn+726Y/KrHieHW9St7W48X6hZ2Yij2wxL80kgz2VMg/UkVu69r1xHBZWEqw2wtYUWNFBaQkoOMckn6Y92HSsXT9MXVNbi+2q9xPM2DLc/MkI7bsfKP93n04qVJ7tWsY06srKtUiko3atq7eTflvuU9IeHS7xf7JsNRuZGGHlkj2/KeDheR+JzWvenTPt8dnq6Q3l0BiNLcNJKWOCGJGI8Yx2J9a1Nfimurpf+Ej1OCOCwGxUtUeOORu3ByXP+7npTr/AE+DSPCMWpRLAqP+4ZrnfGVGcgHYC56H+LOOOORUc6dn1Zh9ZjPlm0+aemjfy1aX4IotfTramPw/FDpkUJwZ7mDliT1AQf8AsvQVlP4cv9SvlOtahJMCwzNNcKqDP93lifwH5Vnt4w1fSbbUNJhWyjiuAUkMMAUgY6hhg5x3bJo0nwvJd+F7nxHLqIhit5fLaLdh3+6OCT6sPyrRQcVd6HXGhKgnJtRu7J7t3891r6o1dYttE8M6iLOH/iYXBQEGCIP16ZdiTn/dAqOO9uJwGurZLa3/ALt1csu/22x/vGP1zUvhv7Zr001pp81skcEJYvdJuVuRxuI3E9+MDjpWZDqVj9punW0bNvGXlnSQjOCBtUHO0FiBwc4z2yKduj1ZUYW9yfvTilf+tEvxOj8VeIdLC2siQtZXIhwyW0aCRj2+YglfrnP61zmg+LvsHiC1nj06GciX711K8jnPHXOO/pWba29hrWsRRz381s1zKFaSZAVXJ6k5GBU+o+HodJ8QG2s9Ws7sQuh3b9nXB6njv2NaU4QTUJGtKhh6cfq87t2b1vaxfn8Z6nqi6m8a21soInWJLaPAG4AjO3J+91PpUtxct4z8PwWekaKn9pWC77iWKNQ0y9CeAO/asqx0m8j1qVBEsqSLLCTFIsgG5SoJ2k9CQafo02s+Hba7urJLiGaZfIXEecg8k4xzx/OiUYp+7uiqlGlHWjZSVrflrbc5xlKMVYYIODV7TSkwlsZjtW4H7tj/AAyD7v4Hp+Oe1V5La5BJkhkBPPKmo/LkU52sPwrbRo9SVpK1xGUoxVwQynBB7VZsprSIuby3aY8bAGwB9R3/ADqa+T7ZbpfRqQ7HZcLjo/8Ae+h/nn2qiI3PRGP4VUZW1FGSktTqfDE+maj4nsbPUXmgs5JNrBCsaDjgnbjpVfxfZabp3i7UbWGSaeNZiVkVhgggHv8AWsJbO5blbeU/RDW7qHh3V30PTdRk0+QLIhi38EuAflJ79Dj6KKqVd3Sla3oc0+WnXjKU7Jq1vPe5jbbBj/rLiMeuwN/UU77FA4/cX0LMeiSBkP5kbR+dOGjXZ+/5EXqJbiNCPwLZpTp9rEP3+pwZ7pEjuw/HAX9aXtI9jo549H+pBJYXMQy0TFf7yfMPzHFRRTSwPuhkaNuxU4NXUksLZsxS3bsP4lxH/U1aTW4WZV/sq2mfoJZQWkz/AOgn8VNHuy0E5N6ctybSde1B7hIZLNdTYnCkqRMCfSRcN+BJHtXcrq1jaARJfnS7iIbd9xtdCx64Uc57bgBwOveuTS+aK3uDa3my4VdhRsRorMMbVIwvHJJ45Arlp4JoGxPGyE+o60Tocsb9WcFXBQxDu/d9P6t+B6Vc+HNKvbhbhrZ3blpL/Sn3wlvVkGWX6ir41XXND0mW2his9TglIZfswLSxjj74YksDj34zyOK4Pw14k1Pwxa3dxp0yxrOPL2tGrb2x15HbOePatCw8YyXKvFdxWrySHJ+0Jw7e0n3kP44HsK5fZzhq9fU4KmBrp2nacFtf+tPk7eR23hrxd4XtbeSd9CSO9jgInktoQjAscH5d27+L3HvXO3nh+3uYUvo777IZxlZIVkjQn1ZCDt+oP0FX7HVfDN9YzQ+I7SS3lfMcX2pifnAyMSr82OR94kDNTX+kSSeFdOZNYDSodqQFIpVXqB8/3c4A5JH1qo1o2cZ3XbqjlpzjRqNPmg27a6rvpvp+CMKz8Ka9eBvslzYXygc+dEs7Y+oVsfnmpNelsX06ztYPCRa5t12yTpEUWRvqvJH1NFp4guvDcrs4kiMibGf7LjcP9/cc/niqa6vo7crq93EexntFuSPxYA49qLczu9vK/wDX4nby1p1VOavFbct199itDc6s8jzrp9vYLBGfLO0IEY8DDOTtwTngjOKxZIrWOUtdXLX07HJWHOM+7Hr+AP1rrEvYJ9Pl26pZ3YaRRmTT1yBg8BXIGenTNTa02iaetjHZzSXklxGfNi06JLZ1OBw2B3ye3atZpRUV38v1On23JJQUXd9k197f/AOf0/R73XL2GK522NmnO3bgIvUkL1JwOp6+taF3c22nu11arkQy7reAjPmTZ4aQ9yowQo4HAPJOe28K2WlnwnrN5q2nTWtu8RSD96HfoQeVxhjn+JvTtWFZT2OpajDpPhxYILxhsgmNmJFgxlvvksc8csP1rKXNyra3qcf1t1JyVvdj93m29TmdUs7+/iHkxNJJI++8kbCqsmOBk4AUAn8c+gqmLDR9PXdqN+byYdbezHyg+hkPH/fOfrWlfaHqtrq80GtatZuyMUlE9yTuHsCM/iBRb+DZ5b2KGwtXvzL80TNKkaOBz0DEnp0GDVWfLf8AI9JVIKknz2Xl/m/+AQWOpTaheJa6daLaWqfPJ5Q3MqDk4PY9s9SSMmq0ln9rvpbi6f7TM7bnjjfCR89GkPA/DP1ren0q9t4m01bJpXD/AL4IPJt4wBnaejMfXPPAHas+7Z7FlW3t/t06fdPk4t4T/sp/GfdvyNOFOctUiKclJ3p9f6vc1tS1t7/SbCK7W2tLeyBWK4WNv3nQYjjY5YjHDHAGexxWNqfiM2Wo3ltp1sscTTMJpJDukl5xnd/D7YrLTT9W1LUUaWGeeaRxktyTzVi/0ea41e8eS4s7ZTO5/e3KjjcewJP6VrToyg/cRpRw1Kl7q/q7M68iLr9pjkaaJjjcxyyH0b/HofzqpXVSeHIdNs7e6TWbGcTriSAvww7jOf8AA0610TRI7W7nvnu5F8vdbeUucvz8hK7gDwOvrXU8NNvXT5nWqsbaHOWFulxdDziVgjG+Vh1Cjrj3PQe5p8qXGpXUk8cJCs3HZUHYZPYVoTXH9n2q2VjZotzKA87MvmMB/CnPHuePT0qlJb3U2G1C5EK/9Nn5/BRk/pXNGKbuEZcz5vuIzDaWx/fzee/dITwPqx/pn61etdVmuLd7FIoQigvbx+WGCsOo56kj1zyBVD/QYunm3B9/kH9TThqk8TA2ix2oU5Hkrhv++j8361rGXKymrmjo+l6vquoGeO1luFjGZgzBcxnggZI7Z6VW1Cxm0yz+zyxMGkkLO+OCoyF/Pk/iKs2j3suuRQ2d7Lax6gV3srkKEb72fUDn8q0fFGjXWmyzyAyXFvKkUMMqjKvhQSR9Nv610ezTpOSTuupnzNTSZjKNujBvSE/rJj+hrUudM1DTvD7anG4W3by4BhvT7wKnrzxS3ej3WmafYyXtswgcCQ5IwwUZC/izkY+lY2pXlwdtm87skZzIu47TITljj6nH4USXsk1Na2/EafM7xJNNktbvVbbzovJfzVYtH904OTle34flVK6tpYWMj7ZEckrKhyrfj/Q806w+V5ZRx5cL8/Ubf61Hb3Ulsx2EFW4ZGGVYehFcracVc06kFFXTbxXal7LKyDlrcnJ+qnv9Ov1qGKzuJhlIm292PAH4nis3GxRBVi0kXLQSttilwCT0U9m/D+Waebe2h/19yHbukA3Y/E4H5ZpBcW8f+qtQ57GZif0GB+eakCB4ZEmaJlO9TgqOalWwumGRA4Hq3yj8zVuW/ubqz8xJfLeL5ZEjAQMvY4Hp0/Ks4uzn5yWPuaALIsAv+vu7aL237/8A0AGpIbG1kY5u2KLy7rD8o/Mj+VQQ226MzTHy4Rxnux9B6/0pJ7jzQEQeXCn3UB/U+p96ALMtxY+SsMIuFjHXG0Fz6n/PFQb7If8ALGZvrIB/Sq1ABZgAMknAFAFnzLL/AJ95f+/o/wDiaKtfYLJPlmvQsi8OuM4PcUUAZlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFqAefZzQjlk/ep+H3v05/CqtSW8xguElH8JyR6j0pbqIQ3DIv3eqn1B5H6UARUUUUAFFFFABRRRQAUUUUAFFFFAFmL57Gdf7jK/wDT+oqGOJ5pAkSlmPYCr+n2yRzr9tfykmBj2fxHPAOOwBwcn0qtNctgwxJ5EYOCg6k/7R7/AMqAHeXb22PNIuJP7iH5R9T3/D86hnuZJyN5wo+6ijCr9BUdIaACgUU+KJ5pVjjG5mOAKAJ7RERWupgGSI/Kp6O3YfTuarySNLIzucsxyT61PeSruW3hOYoeAR/Ee7fj/ICq1ABRRRQAUUUUAFFFFAD4ZDFOki9UYMPwNPvEEd7Mg6LIwH51DVm//wCPssP4lVvzAoArVYvuLkL/AHUVf/HRVerGof8AIRnH92Qr+RxQBXozRRQBakxc2YkH+thAV/8AaXsfw6flSW8qtH9nuGxGxyrHnyz6/T1qO3m8iYMRuXGHU/xA9RRcwiCbCncjDcjeoNADZoXglaOQYZaZVuIi7hFu/wDrl/1Tev8Asn+lVCCpIIwRwQaACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACruknN40Z/5axOn5qapVNZXH2S+guNu7ypA231welJ7EzTcWkRHjir8beX4em2j5pbhFZvRVUnH0JOf+A1DqVqLPUri3Rt6xSMqv/eGeD+I5otLz7OkkUiCa3lxviY4yR0IPYjJ59zRuhS96KaKuK2LL9zpt5AAPMubbexxyFDqwH6E/lWtba9ox8NfYI9BhNxE/mm7mw7Bc9M4B9B6Vn2OtTXd+6z29mfNSQHbbIv8ACeMgA4qOaTWxh7SpKMrwtZ9WunXS5l6fAs99Gkv+rB3Sc/wjk/oKZd3L3d5Lcy43yuXbAwOfSta1msf7Nu7qW18gkrbjyHP8WSSA2eykHn+IVROmechk06ZbpR1TG2Rf+Anr+GfenfXUuM1zNy06FCrVrqNzacRyHZ3Qk4/+t9RVZgVYhhgjqD2pKs2aTVmbTR2uu5eIi1vwMtGwyk/qQR0b2xz9euZLaTQjLplf76ncv5iolYqwZSQRyCO1akdwdQOUl8m/x1Bws/1/2v5/XqtiNafp+RXc7NDh5wWuHP5Kv/16kjkTU41guG23SjbFMx4cdlY/yP4dOk17Kh020S7tgr7pNxjGwg5A5HT9Koi2im5trhc/3JfkP59P1FJK4kuZX82aVk3lLBLdLIpsJglwgHzeUx54+uR/wIVoapBpc2sC/wDCXnW2mImZixJaLHXIJPXgDqDVGymPmJHqaMp2mMTn7roeNrH09D2/lPNbT+H7iCzXjzyJ5HK5EkeDtXnqMZJHv7Vm17xxzi/a22fbo+/3dPUnYaf4i8RW1leMulqFWPzFwI4xjcQQcAHJPTv2qnr2hvpheG1lF9bQzMq3MWGBGFPOCcc5qnLHBqs0ktqVhuXYs0DtwxPXYx/kefc1GhubOymGZIJY5k9VIyG/wFUk09H8jaEJRn7ktLfC/wA77/oUe9IeKvnUY7kY1C1jlbH+uj+ST8ccH8Rn3oFhDdKTp9yrv/zwl+R/w7H88+1Xe250c9vi0M+inywyQOUmRkYdVYYNMplm5JeWWo6FDZrbbNRjOfPJ/wBaP7ufXHTPpVKC4ingW0vyVCnEU2MmP2I7r/KqIJBBHB7GrTD7ZGZFA89BmQD+Mf3h7+v5+tFrkyipFzUbOW2tLC1YAs+9wVOVfLbQQe/3ar6zIDqckSY8q3/cx46bV4z+PU+5NdVqn9lWVxodjo0j6gskUZmhmUjYzEMCpwCD8x6dsZzWJrfhy6stSniCP5oYs1vIu2UA9CB/EPcfpWMJp2ucGHxEZ25tL3avp17dDHguZYD8hyp+8jDKt9RVq0s4dTulityLd25KucqAOSQe2B6/nVBlKEhgQR2Iq+G+xaT8vEt5wTjpGD/Vh/47Wreh3yk7absvWZmuvE9ra21rIUB8iO3VeShBDfUkEkn3Ndx4lGiafqUUsmlwwz2URXyDgQxnPDsABuJ7KOvU8VjfDTybfWEvdTd/JijdoioyUwMFhwfXGPqe1WPFGqw31wdWgjivLd3YRRywL5kjqcF29VwF7e3Fcc/eqpLofP4m9XGqEb8sV3au307GVJql3e7rgxyBX4jAQGSX3A6IP9rGfc80to896JoNYvltrR15jhfcYPQk5xzyCCSTnpxmsrfqmrt5t9cSRwHgYXAb/ZRB1P049cV09l4d0j/hHZrvW7lrP7DJn7CGBZwccv33nnjqPQVUrQRvW9nQhZ77aK7XoVdK0vVblWttNgXRtNjYmbUJ/lZgCRkue/BGFx/Wup0O+8I2kN1GkAlkBWNtQY/PIxzzu4weBjZnsT3NctrniKXxF4fh89Fs9Js5dsdvGnzPxhcH88k8DH4VV06QTQ2s9xEqW1uHuI4EHy8ZC/XGxySeTt96hxlJe9octShUxFNur7uuyf5vq39yOr1Wx+0eLb6DwlZ7pjGHuPOIEijOMl3JKr04X5iOfSuevdQW1mVZJWurzOI90YYr/wBc4j8qD/abLd8DrXV6pGNG8OWNzaG5025ureP7VezuV3M0Kk7cn5+p+XoCT0Nef/6NbybbWR5InBeS6QfNIByQWP3f93HOep4p04uXoaYOk6rutYrRX307vt2t8yzqetHTYfs8G2TUZV3Tzu3mvGWHQOf4semAM9yMi54L062uba9l8QX/ANlSRNttHcPhZ3+90PXDBen071yUuouZHNvGsO4kll5Y/wDAjz+WKn1eV0vII1JAhhjKZPJJUOT+JYmuhwTXKj06mGTh7OLs319CGWaFLiR2RriYsSzS8DP0H9a6PQ5NC1Pw9eWuuXFwl8haa38tfkVQuTwOOx4+lc9q6BdQaVAPLuFWZcdPmGSPwOR+FQWV19kud5XejKyOp7qwwfxwaqS5o6GtWn7akkm1s9NzXewv9VuI4dD23UYBEUFqcMoAycqcMTgcnB+taPhjw5DdQ6tb6/dNpKxICTKArFlblcHHfH44rL0x73TNQj1Hw3eq06ZCjCiRcjGNrdePTNPD6rcaxLLq8VzIbwMkzMh/i7+nDYOPas3fZP8AzOepGo04Rkku/wBq/wCRUt9Psb27jgt9Q8lpGCj7REQMk46rn+lXvEPhG80HUjbRzR36qgcyW/IGexHaquo+Fda0qKGW90+WOOYZjYDduHXt0/GsxvOhkBfejjoTkEVau9U9DaDlOSnTqXj20f4ovylovEET8gs8cuPTcA39a29Y15f+ELstJgtFhe3upR9oU/M2DnH/AI/+go0KzfxXcWFjPLGkoicJdSfeVkO4AnuCCox27VnapauJNWt1/eG1uy2VHYkqT+eKKtpVNfUwqeyq1oxnvGz/ADSZki/u16XMo/4GaeNUvx0vJx/20NVTSVfKux3+zh2RqWWvX1vN++uZ5YZBskQyHkHuPcdQfWkvbnULWcobyd42G6NxIcOp6EVmVr6XCl/bPbX0ogt4zuS4bny2P8OO+f06+tJpLUynGEPfsvMoG9um63Ep+rmtK51W/wBQ8Mw2093NLFZzEhHYnaGAA/AYP51WmWwgnaCWC6VkOCxdc/lj+tSwItpuubRxd2jqUniK4ZVP94fqCMjIH0qWk9bEyUHaXLttsZVITWrf+H76z09NTWF5NNmOIboD5W68ex4Ix7GsqrUk9johUjNXi7gKvR5sLUTdLiYfu/VF/vexPb8/SorKBJJGkmOIYhuf39FHuTxTJJHu7os33pGxj09BWsdFfqMnuf3NhbQA/NIDNJ7Z4UfkM/8AAqZaXNysiwwneHIURONytn2NJqDBtQlA6Kdg9gBj+lPsiYIprkfeVfLj9mbjP5Z/Sqv7+gdCzfTWVxMsKbrdIRsQp8yH1OOvJ9zVWTT5lG6LbPH2eI7h+XUfiBUi2CQRCXUZDCG5SFRmRx64/hHufwzV3Sr1RqUSWNpbwqvzySyp5rbF5YndwMAHoBUSqKWrRk5tRfLqSzOHhsdGvEYbY8iUg7o5HOf++cbQR7ZFQ+HvEl94T1WSe0SOVgrRtHLkr19AevFdBrvxPudds2t59Nt4icDzYyVbGc9ev61yAis7hv3czQOe0wypP+8P8Kj2MXFK979Dmp0nVpOFeCs91uvM7rTfFEN34du7m6aD+0/OLC3jjXdKpx3Izx83CkdOlPTX/Bd9oarcaNatqofDB0aBXGT0ZSecY5YivPpbe4tGVmUpzlXU5B+hHFTMq6ipeJdt0Bl0HST3Hv6irnTjJJJWa/EieX0ZO8W1rfR2/pHo9noGjajpzzQeHJI4C4YOLlmjY4IwrBip5PcjFPvtT09bqOz0vwy8MT/uxIbcuhfoCMEDH/66oaH4ln0XwjLpc8SSWEsIhEspx5TSKzsw45I3rx7e9Yfh+SxsvECrqdzeOkSNKsiMVU7RuBAByRgVFGi6slzaLbfQ82lhKlSpOVW7Sfu+89V950Vtd6/qnhC+8uJ/7NtnXek6QqFOc9ZMnj61lWDxwkXv2ia5aJv3YWZtiv7/AHBgdyDjpUOna7f6m17pVkqvaTHJEzyMCgb7zkt0A5P0rN1DXbC9ZLU2Lw2UA2RJbS7cjP3iGzkk89amVCN+WL0OmOEknKnZJN307efmzRXWtGg1GN715ZwZQ05tFAJGeQZD87f99Y96uHxXbRa8Y/B1qtshGYLm5G942K4JJbOB2OSR0OK5f+z7OfabEzzhjgquN6/Vf6jIq3vstM0xhayy+bJIY3nCAkbQCQOeByOfr7VpHBxveT0On6nSvd3elrPb7hdWuL+7uJmvroJJI5M1xcHaXPoqDkL9BzWeLGyhgE11dSFSfkRI8GT6ZOce5FXilgbVL2686a5UZ8tsAyL2dhnt09/52NK1PStPd73VtOa8edcQrIwYrg/exgYGeB+NdUYQ2dl+h1pcitFaeRa8NWS6n4j020t4ntIJLhDteVULgHJJ/ibofaq48Lwv4kOmXM0cTFyGl+0rgcZ+7jNVdH1C8n1Ca48xbdIoJXeWNApXKEA5HJOSMc06x0a/8WXpS3bYsMXySXLH5hnueckk1cHCbso3f5mdmptt20IdS07SNOvprWS6nleJiuYVBU/icVc0efSdOiN5NHcGHcFVZgGDuOchQRkL1P5d6z7PQGuZn8y7gEMXMsiFmwM9Bgck9qtP4d1bVpgLKFGijXCIJAAij64+ufWo/eSlanAqbi1yuXqST3Oo3V20Rure+MxGEB8pmz0IJxk8+pqjdeHr9WLQ2d1uBw8UkZ3oTyPqD61qR+GdXszELhoLW7tWEsDtKrEAHJ4GeARkfjXXaRqF28eZBFd6pI4X7XIpRGHTGABnFdlPDKq+WrdEupyL3LHmP9myIf8ASpoLcd/MkBI/4CuT+lN2WUR5lknP+wuwfmef0ruda8Cxf2tPc3WpxqJSZGQAAqT16np+FSRaj4K0p7Ym3VpoY9sg8ksztgc/3fXms/qTjJqbUfUr2ya93X0OYjjkutH2rEbSKJ/4FLPKrds9TyPYfNW5aate2I05pAGgto8w2hXdtPI5PdiO3bknFWxPpmo6Jc3ljJIbhmYeSy7VUcsPvZUcL1FY/iJbrRo7P7TGrNNADH8wYepyep69CAvsa35fYx50+xF+d8rQzXPEF3Mha7uN8jSGSKMHIjJ6EegHb1PPYVyfLHJ5JqzFbXmpXB8qKW4kY8kKTmtSxWz8P30N3fOl3dQsGFrCQVU+jv0/AZrzak5Vp3k9DpjFQVkZ4jaPThGilprkhtoHIQdPzP8AIetM+xrCM3sojP8AzyX5n/wH4nPtVzW/EE2r6jLcRQx2ccmP3UPHQdz1NZFZTtzWjsUr21LiXsds26ygCuOksvzMPoOg/KppJ31j/Wu32sDjJ4l/wb+f1rNpc46VKdhgQVYg5BBwQaSrzH+0YS//AC9RjLf9NVHf6j9aqRQyTSBIlLN6ChqwDreXyZgzLuQ/K6+oPUVams47GQtcneDzHGOCynoT6D261Hvis+IiJZx1k/hT6ep96Nxu7Nt5LSw/MCTyynr+R5/E1IEM873Em6THTCqBgKPQCoqKKACrVsPIha6bgg7YvdvX8B+pFQQwtPMsaYyx6noPc+1SXUqySBIs+VGNqZ7+/wCNAEOTRSZooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACrTnz9PRj9+A7D/unkfrn8xVWrFnIqTbJP9XKNj+wPf8AA4P4UAV8UU+SNopWjf7ynBplABRRRQAUUUUAFFFWltkhQSXhK55WJT8ze59BQBFBbyTsQmAo5ZmOAo9zU3nQ2vFqPMk/57MOn+6O31PP0qKe5abCgBIl+7GvQf4n3qGgBxdi+4kls5yTU98M3AlH3ZlEgP16/qDVarQPnaaR/FA+R/ut/wDXH60AVaKKKACrkebSyMvSWcFU9Qvc/j0/OobWD7ROFY7Y1G52/uqOpoup/tFwXA2r0Vf7oHQUAQ0UUUAFFFFABRRRQAUUUUAFWLvlLd/70I/Qlf6VXq0+H0mI/wAUcrA/QgEfyagCG2QSXUSHozgfrS3TF7yZj1aRj+tSaaM6raj/AKbJ/wChCoHOZGPqSaAG0UUUAFWoP9JtzbnmRctEe/uv9R7/AFqrSqxVgykgg5BHagBOhq3L/pkBnH+uQfvQf4h/e/x/OkulEyC7QDDnEgH8Lf4Hr+fpUMMzQTLJH1U9xkH2I9KAI6KsXMKgLNCMQydBn7p7r+FV6ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKBRQOtAF7USZo7W57vEEY+6/L/ICqNaFsRc6TcWx/1kJ+0RH26OPywf+A1WtIlknHmD92gLP9BSXYiGit2Hyk29mkI4aXEknrj+Ef1/Gl0t1j1W2ZzhDIAx9jwf0pTa3t/FcX6wM8KNmSRR8q57f56VUB5p7qxUlzJo0b5HtbCC1kXawkkdh3zkL/7LWcGKkFSQR0IrrPHup2WoXliLOxFtKlsjzybQPNZ1V88fU/iTXJ1FNuUbsww05VKSlNWb6F8ahHdII9Tj8wjpcIP3i/X+8Prz71FdWDwIJY2We3b7s0fT6EdQfY1Uqe1u5bSTdCRgjDIwyrj0I71VrbGnK4/D9xBR9K0GtYb5Gk04bJV5a2JyceqHuPbr9eTVDGODRe5UZKRuSyw32l2Ed85SbDhLg8jr0b29+orHuLaW0mMc6bW+uQR6g9x71ZnG7R7Rv7skifyP9aS3vgIfs15H50H8P96M+qn+nQ/rUxutjKnFwj7u13p8+gaXva/jQSOkYO59rEfKBk/oK7PTfGQ1Dw3d6Nq1lEy3UpWK5jG2RGJ3BR2x8uP+BVnz+Dr7SfDDa0hFxBeRhIQiN5iBjkswxxwCOv8AFXOTxSoLe2RGMijcVA53Nz/LFT7tTVM5/wBxjLyi72ej7NE95p9vb/Ovm+SxwsqYdfoehB9jVyxmLafdQS3FrexCMMI5sqy/Oo4YgY6nvj2qOXUf7P8AE73BAlj81Wnh4KSHguMdCN2av6lfaV4i1S5l0y1j0kyW5UQEBY2I+bORgA5HcY96fM7pNGnPJyipxurXv2/X7inYeHhrF/DaWJlhmmfagkUPH/32v+FO8T+DNT8L6ibW623G1QxkgyQufX0rKX7fo12ssZktpl+66nGfoe4pf7X1A3DXBvbjzmJJfzDnNVre6Zpy1OZShLTt/wAEWHUnWPybtFuof7sn3l91bqP5eooewWaAz6ezSovLxn78fvjuPcfjirY1z7UgTU4IXftcpAnmf8CyPm/Q+9NlZ7Pbcw29vNFn5LiLeuD6HDDB9j/9egez00f4MyKfHI0UgeNirKcgiuu0TR7LxdHeTEQafc20e91ViFm69Bng8c44+lcwz2oYg28nB7S//Y0KSbsOnWjOcoLeO/zNLUZZd9jq1kTE4hjzs/5ZsnyA/Q7M03xPqF5f+IZbu8mLyyLG6twMKUDKOPQEUR3NsukxSi3kYQymN1MvBVhnB+X/AGWp+tm0ZrO5S3leOe2TaTL02ZTB46jaKSSvciMY86bWquv1KtrfPdyx217FHdK7BQz5Drn0Yc/gcj2qzcpY6rqojgnlt+RDGrpuUKo2jkc9Bk8etSeHLOXUdTYabpZuHt4nmYBmYjA46Ed8Cm6VKqm4m+ywRSKBDEdrN+8c45BJ6LvP1ApO13YifKpPldml+fkej+EoHsdL1Ce1isbm1WFQWkcrsQKcHBHBI+Y5xnfWVomsz2dxdtB4c+1F4CIpNrbWIwcKMkLwO3oKxPFviG4s1TRdPm8kITJdGEBcuw4j4xwi4X6g1zNjcXk+oQqtxIG3Z3FicAck1zRo8ycn1PJpZf7WNStVfxbb7Lvr/SO10611rU2M93ZtZyuxEbqgQKP7zk8t6Dnr9KrarpG4ot9d28Gm25OxVmGbh+5znn3PJ9snFSzFLRf7T2hLUBJEUnGzI+VAO5C59/3m49DWF4k8WP4h1QXJs4reARCM2y8qcEnPseeoq4JyldbG1GE6la8VaPft5ev5Fi2m0uTUDDc3jXKXS+R5cKlY0GRtxuAIwQDx+fNd9d+H7rSbK3h0GCOYTGKBZo1DeUpyWJY5AznH/AuteQ+QJP3tiWYryYz99fceor0261i8sNOiggea3hktI7po8Bfn8tH4PXG1Hx71NdSTXKzLMqNdTpqlLTXR7fgYPxL1XV3vbPR9VkyLOBWCnBO45GSR14Ark7e4ezsGZMHz22lWGQyjqMfXH5Vf8V3E97raPcytNN5YjZ2OSxVmXr+FZd8wEywp9yFQg9z3P5k1001ywSPWwdP2VCMba21t36jvIjusm0+V+phY8/8AAT3+nWrEiNqNmrKM3Vqm2RT950HQ+5UcY9APQ1mZx0q5FebmQ3BYSIfknQ/Ov19apnRKLe24+5Jl0ezfqYi8P0Gdw/VmqhXSParqWjzND5SzLKjZQ4SUkEcD+FjjocD07Vz0iNHIUkUqy8EEYIpRfQilK911TGZqRLiaMYSV1HoGxUZoqmaNJ7nQy6xqWu6bb2sl9M09khEUZf8A1i+3+0P1A9euXFqd3FlJHE8fQxTjep/PofcYNVFYqwKnBByCO1dZaTeGdR8J3I1V/K8Qb8QzBXCuPlxuxkf3snAP1NZytDZHJOMMOtIXTfRbX6+hmJbx3mlyy6aHWSCRZHgzkop4LKe4zj3Fblv4wj0O71hoLVHurtTCwZcrkH7/AF4OM8Y681gaVHcWGuRwS7omm/dhgeDk/KQe43Ac0msQpc3VxeWgxiVhPGOfLOeo/wBk/p0qpxUrXM6lKnVlyT1j/wAHb8DJJpKDRVHoC1f1NhD5VjGMLbr85/vSHlj+H3foKq2kZlvIY1BYs4AAHXmp9Xhmg1e6S4jeJ/NY7XUg4zU9bENpzSJYpE1KFLa4dUuEG2GZuAw7Ix/kfwPHSvbyzaffKx3RvG2HXHOO4IPX6VVFaMdxFfRpBfOEkUbYrjHb+6+Oo9+o9xgUbEuPKn2Oq8Ra7peo6fBZ6GlxHoca/vbdyS1vLkkOASfl56Zx16cVxl1ayWk2x8MpGUcfddexFPH2rSr3kbHHY4Kup/Qg/ka2dKEF/II40WS3BMk1lIeVA5Jibrntjr04NTCPJotjmpU1hY+5rHf+vPz6mPdYt7WO2X75/eTexPQfgP1J9Ks+G57e28QW017bi5gQlmjbGD8p559Ov4Vr+J7bw3c6ijaFcT2u5N063UTkK+enAJ/Q9aqaPoN1NcSywy2skKwS5kNwihcxsASGIPf0renVTmpLT1NIV4Tpc0rxv30MvUJE1HWJ5bG38pJpSY4VGdoPQVoXLRaJaw2yBJr8L5kjEBkhZugHYsFx7Ak9+a1/D2g2F1qY0z+2rS0MqkPdbwWb/ZTsAT75P6Viap/ZcOq3Ko892qSFQy4jBA4Hr6VDqczbIVaNSfs0noZLu0rF5GLMxyWJyTV2MG10l5Tw90fLT12AgsfzwPzqa1uIbm4jt7bSbXLH70jSEgdyTuAwBz0p19qtndXHlnT4xBENkRidlYKPqSPfp3qG29LG0pNtRsZBPpSVr2ugz6vuOgxy3jIN0kAX94g9cdx7j8qymRkcq4IZTgg9jVqSeiNY1IybSeq6EkF3NbH90+AeqkZU/UHg1pQxWRVLi6BtJGOY4wTtY+vqq/n7e1K2iSOL7XcruQHEaHjzG/wHeq80rzymSVss3WtoycVqDVzvtXWy1T4bx3c0LjV7ebY3lH92VGBuHUfd29Pf3rktPul+x3EV0C0aRYRh96PJAOPbrxWh4VvZkgvrOLDeZGJERxuUup4GPfO38aSDSY7+SeDTW8tplRtkp4VT8xIPfGDx1470Ut3JPU4aMVR54Sel7+if6HWeAI4NB8O6prkN3bXFxL/okNu3JbdtwSOo5PPHRTXmTZ3Hd1zzWxqYn0i2srIO0c0ZkmfaSMMW2j/x1FP41I86T3Bub22hmt2j80sV2sT0K5XGTu45zUU6cZXfmXQp8k51b35n+C0RQjZtOtw6MVupVyuODGn+J/l9a6TSNWiuPC91p1za26Szyb4pH486QAHb7fdHp196wIza6jes8sc0SnLyOJAQijrxj8h+FMubiwnkXAuFRFCovy8D/PNdVObp6pq2x0SjzKw20M8mrh5WKuGLSlh91R97I9MZ4/Cpp7U6jfiW3+S2cfKeojUcbfqOmO+R61sQxW2s6W0tvDKb8r5RXeA1wqkEsOOoyM+o/GtnS9Oj07SFka02wTNmOaVtw39N56cfXjHPrWkMM5ap3W5LqpepP4e8N2sdtqEGq+fbTpabrW3EYJc9STwQTkAZPHOOcGqcXh2bTr5H1Zjb/LvkkXErBf8AePyjp6fTNaT+I9Ss7eTULy5jgQy+SS8QYsEGdqqMckuOSffgVzsXjvy7ljPYC8h8vy0FzKXbrnJzwfy46VpzYeEnyt3v12RwU41pTnJO9/wt2NHWPENosqxaDp1qlqq5U3l0jHcep27yKr+H9V119XMdjLYrJKhCxiVCGPUDkkj149K5A6peE/LMYx6RgIPyGBU9rqGqrIs0DSyFThWMe/B/EGs44n309fkdqoqMbI1fEOp+Jk1RTq0siS2+FBjGEJBznjg9aXS9Nv57wXmkq5dyHiZfmMK5+Zse3Qf/AFq0ItVQ6KsP9m3I1OSTMrgllkGf7pbrj/62K29Wnfw3oHm6czW2oxqC8flqPkY4z0wRnn69a640lNupKTaWvmv+CQ5tLlSV9jjfEF1fajrzW8zyI8Jwxl+Uggcs30FTatrunC3tYtDt2yse2d7pfMDMMcqrEgZ57VmahezzK9xdPvvL075WwBhew49cZ+gFUILeS4fbEue5JOAPcnoK8+ddpyt1OiME0vI39O1ea5ZDdQwy4uoVICbcg7geFwP0o1PULg3b/bHjSGEmOFWiDyMo4+UNkqOOv86j0yaDTbG9nt28yeHYVmI+VXO4AqPUZzk+lZeqsX1e7ZiSWmY5Jz3pSqz9mtdwUVzMkudYuZ4/Jjdo4e4Dct9T/TpWfRRXK23uaBRRRSAKKfDBJO+2JSx6n0H1ParAMFofl23Ew7kZRT/7N/L60AFtC8W25eQwIpyrD7zH/ZH9elWb+VZrcT2MYht3OJUXqH9/Y9QOnWs6SV5nLyuWY9zU1lMiSNHOf3Mo2v7eh/A81cbPQTK1SW8xgnWQANg8qejDuKJ4Xt53ikxuQ4ODkGo6jYZNdRCGchDlCAyE91PSoatDFxp5H/LSA5Huh/wP86baxKzNLMMwxDLc/ePZfx/xoAdj7LZ/9Npx/wB8p/8AX/l9aq0+aZp5mkflmPYYAplABRRRQAUUUUAFFFFABRRRQAVcOl3KnDm3U4zhrqMEfgWqnVvVf+QlL+H8hQAf2ZP/AM9LX/wLi/8AiqP7Mn/56Wv/AIFxf/FVUooAt/2ZP/z0tf8AwLi/+Ko/syf/AJ6Wv/gXF/8AFVUooAt/2ZP/AM9LX/wLi/8AiqP7Mn/56Wv/AIFxf/FVUooAt/2ZP/z0tf8AwLi/+Ko/syf/AJ6Wv/gXF/8AFVUooA1LjTpp4o5g9tvxsk/0qPGR0Od3cfyNVv7Mn/56Wv8A4Fxf/FU2zKuzW8hwswwD/dbsf6fQ1XZSjFWGCDgigC1/Zk//AD0tf/AuL/4qj+zJ/wDnpa/+BcX/AMVVSigC3/Zk/wDz0tf/AALi/wDiqcmkXUrYjNuxxnC3UR4/76qGC28xTJK3lQr1cjr7AdzSy3QMflW6+XF3/vP7k/06UAXhYm1/1D2ksuP9Y11FhfoC3X3NVm065dizy2zEnJJu4uf/AB6qVFAFz+zJ/wDnpa/+BcX/AMVSf2ZP/wA9LX/wLi/+KqpmigC3/Zk//PS1/wDAuL/4qp7SxljnxLJa+XICj4u4uAe/3u3X8KzaKALr6Vco5VntgQcHN1EP/Zqb/Zk//PS1/wDAuL/4qkuf31vFcL1x5cg9GHQ/iP1BpLKJHkMk+fJiG5/f0H4nigC6+nSwWQhV7bzZfmkzdRjaOw+9+P5VU/syf/npa/8AgXF/8VVeaVppnkf7zHJxTKALf9mT/wDPS1/8C4v/AIqobi2ktZAkwXJUMNrhgQfcEioqt6h/y6/9e6f1oAqUUUUAFFFFABRRRQAVYg+ayuU9Nrj8Dj+tV6s2I3zNEOssbKPc4yP1AoAXTDjVbU/9Nk/mKrPw5+tSWsnl3kUh/hcN+RpLldl1Kn91yP1oAjooooAKKKKAJrWZYnKygmKQbXA9PUe4ps8JgmKE7u4YdGHY1HVuL/S4BbnmVMmI92Hdf6j8fWgBlrKo3QzHEUnDHGdp7N+FRTRNBM0b9VOODkH3plWx/pdpg/66EcH++np9R/L6UAVKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAnsrj7LeJKy7kBw6/3lPBH5Vb1C3Gmo9urB/OYOsoH3ouqn8ev4CqMERnnSNeNxxn0960rp49SsmaHh7P5VQ9TD2P1B6/X2NLZ3M5e7K5Vg1W9ttPmsoJ2S3mIMiDvVMdaKdGN0qj1IFM0NzxUmNQHXEJa2+nlnAH5YrCre1dhdTawv8cF884H+yzFW/XZ+tYNTDRWMaCtBR7CYoozRVmwqsUYMpIYHIIPSuo8PWOl+Jpp11vUItNnii3LOWVfPb0IJAz7965aiolG600Mq1N1I2i7PujUmtpItFljmUo1vdgEMMH51P8A8RUemqscN3dsiSNBGCiuoZdxYDJB64GfxxVzSrpbyxutOvW+Rot8U2MmMqc/iMZ+nb3gtbaW2u7iwnABuYSikHIY5DKQe4JUc+9LumZqTSlGW/6HoUPjd/EWm6TatpyLfecVZ1JWJYlHzcZ6YwMHI61X8VeHQL2ZdM1kR3LASPa+fvQg/wB053fgQfrXIQ3KWWl2SS5UXKyxyNj7qE4z+fP/AAGqEen3A1JoHcxtEpcyDLfKozkY68dMVzxoqLvF2PKp5fCjPmoy5Ur6WvfXz/ISbQtUhmMb2MzMATmNd4IHfIyCPeobLi4YdzHIMf8AATXb+HfFeoWUnmW17BdybdjM6fOV/wBpTgn6rn3BqqbTStQ1ARzwDS74g8qf3UuQeR2P4EewNaRqS5rSR1wxlWM3GtHTuv8ALc5K21Ce2UorB4j96KQbkP4H+fWpv+JfdnqbFz2OXj/+KA/OrF/4V1nTrZ7m4sJvsqYzcIu6PBxg7h65FZArVcstUdsHTqLmpv7izdafcWoDSrujP3ZEYMp+hHFMtruW0k3RNweGUjKuPQjuKLa8ntGzBIVz1UjKt7EHg1a3WV+3IWynPdQTEx+nVf1H0p+pTulaauv66A1vHcxtdaZlHT5nt8/Mnup7j9R+tPYLq8Zddq3yrllAx54Hcf7X8/r1nvPDesaJpdrrFxGsVvO+2KRZVJJ57A5x8pOen51PpGizeLNSSLSPJgviC0kbNsXgZ3r6dOg6E8cdM+aNr30Od1qai6ikuVde1t0xnhfR73Xm1DTdPhE0rW3mqpYLtZXXnJ46Ej8ar3DiK2sre5HyGFkfHO0iV+R9P5VeTUJNI1m4aaeSz1G33wTNbH5ZyMjqD1yOvQ9ayb9i1pp5JyTAxOf+uj0K7lfoEHUda7ty6W+53+WxpaBf6joM+py2E5idLQ7mUAhlLKoPPb5hUug2rT3mnq52qGe9lcjIwvC5+pXH41V0rNxol9ET+8cJbw+5Z9+3/wAhnHvXRWmu2mh6PqIuLBLhrmQWcEnHyLEq5P03YP1qKul7LVnPi7xUnTjeUrLS1+34Xv8AI4a5lee7lllYs7uWYk9STXRaF4d1OXTvt0WnzyxXjeRHJGucLk7zx7KR+JrB1CA22ozxHnbIcEdx2P5V2PhrxTq2lro1rBebLI+YuHRWVHLMMZI46g/jVVXJQ900xk60aCdC3z7Wb0KerPC8MelyHEkzvM0nQLPnG36DBX8M1ybKY2ZHBDKcEHtW3qFnfXlq9x9nmd7eaQTkIfkydwJ9OpqpOP7TtDdKB9phUCcD+Negf69AfwPc06eiLw9oR3v39SHS4vMvRIxKxwKZZGHZR/icAe5Feha3dxX+nQ/aG8q6ZILMlu7YViT6dXXiuKtLdoxaWOCJbyRXlXvsz8oP1+9+Rrs7rT7nWolk023adbe7nu5WBAO0EhevX7vb1rKq1zK5x42pH2kZSdv6/wA1+Rx99G66okk4/wBTG8rZ7/vHx+ZI/OsMksxJ5JOTW3cXAh0uGG5XesqgcfeUAluD/wACHHtWVPbmIB0YSRN91x/Ijsa6UewtEQ0UUUxmppUrx2eplGIItg49yJUHT6E1f0v7H4kvbfTr9xZzyMEjuuqr7Nnt/L6cVl6Yf3d+PW1b/wBCU/0qjnFS1e5jKPO5JOz6PtoaviTQJfDusS2UkgnRMbJ1XCSDAOQfxx+FZNX7DVprJGhkRLm1k+/bzDKn3HdT7irX9mWeooZNImKuOWtpj8w+h7j/ACcdaey1CLlCKVR38+/+RjUVLPby27bZo2Q+461EKZsdT4GsbnWteh05DC8SAzFZ84XaRypHIPP09ak8kaH4sOo2yrqEEUhkltwcEg9QR/EueMj05xWJpDvbtd3UbFTDbOAQccv8g/8AQs/hTPNkewjlR2Ets+3cDyFbkfrn86lQcuZHDKhKVWTv7rVrffcteI5oNRv31Wxt0tre5YjyEUAQsABt4/PPvWNW7ZXEOsW81leBYbhhvjnjXHmMvZh0JIJ5HJIHUmsy60+a0wzAPEfuyocq34/0PIpRdvdNqLUF7J6W29PXr+ZHZ3ctjfQXduQJYJFkQsMjIORx36Vq+K9RutZ1kapdlWN3CjqVGBgLtIx7FSPwrErQtP8ATrQ2JYCVSXtye5xymffAx7/Wm0r8xU4RU1VtqtL+TM+loZSrFWGCDgg06KJ5pliiUs7kBQO5qja+ly9YTvcBbGWFrmJj8qr96M+qnt7jp/Ouv0rwM76Ff39pNa3flR7iJpTGu0ZYggc/wg5yAeMEiuPuJ47OJrOzbOTiaYH/AFh9B/s/z6+ldIPtenT6LLiWA3lm5UHIHnbTGo9+FjbH+1U8s2nKJ52IVVq9J8t/xtr+P/Dkuj+KtZ0N5RcaTbX0LJsVBGjKnvuUHP4k1lQa215LNFe2EPEEp/dl48fITwobaPwFaeheNra1tb2DUbKN57qPYszZKRtg84HIGTk7T9AKr2l20N5tuon8qWOREb5LmI7kIG0t06+uaypK09YmFODjUk5UrPTW+/oZOnzaasskxt7iMxRO2RKGwSNo4wO7DvWhqnh3RbfR7C6sNfhknuVzJBIP9UcdDtzj8abFFpdzp87Q+RGzsqbUkaI+v8eV7f3hVzQvA8urzSy28cskNuu9lzGVc9l3hsfX2q6klFJt2NqtaFP95Kbil36/eZY0e4s9PcJNaGe4GD/pcS7Y+vdh97+Q96o/2LdD70tmB/1+RH+TVfm0C5u7iSZ7gbmbJBt5R+WFxWpqXgzTbHT7GWDVkubidcywCSNPLOP9ph/Ko9olu9yvrMabSlLWXkzL0iTW9BuWuNEu4RKy7GEM0cjMOuNpyT+VMbS21CZ5mhktZlBkuIWQjcO7IO/09/Tpf17wXL4euoYbubypZVDxsRujPOMFh0OR6VY8S+JLvUhZ6frkYtprNABcW6kc/TJDAccjvmqi7vnRmqrqTjUo2ae766bev6HJXVwbibONqKNqJ/dHpUFbV3bpMFa92xM33b2Ebo5fdgOh9cc+ozVjRNAsp9UjXXNSt7bT2BzPFcIxzjj5c7uvqKuVTqztdeEIOT6fP7u5R0BmTUiVJH7iUg/7QQlf1ArbdFggvZUG3y7RygHYPIyj9H/Sp9B1+HQvF1wbONLrTbaOVY1JwpAHDn1YkdfetHxtdW15c6jdWDxsktlErRwYIjPmDjI78E1dJSfPK2ljglVqTxFnC0Wlr89rGVLqOj3WtY8SxO8AtIRE6A71Plr1IIyOvXNZdzAsdoNLjOTKTcwuScMT0Qfh+vFP1m0WbVtOY/LHNYwyOfRVTDH8lNRadDJrVxJFIwhjMvmJIx4jPcD/AID29hXRQk5U1G2p1UEo0otdjY123ttH8B6baiKFry6O95kA3hfvbT3/AIh+VcZW7eXsN68tzYWyGYHMnnLvYr/eCnj68Zq5oGiya7qMVrqQt7NJMlJPLVJOBnhQBuH14960rWq1FGOmyRqpKnG8jY8LeHJJYk1KWTyoLMBQFzvbjc2MepOPpkVe8Q6yt1bfZ7cFLlBufTkYbhj0I4B5OR979DV3Xtfbw/od3Z6cogbJ2yY+Yg8Ag9uQePbrg15RAZZLqPy2bzWcbWB5yTXZiaqw8FRh13OaEZVm5y0Rta9dy6jaWgkIEtrDl0UYADnII+g2g/8A66wO9dgCNc1S4eSyldoWMbXsEZZJEA2/vAPUD7wqtF4E1K51L7PayW7xMhkjnMo2sPw5z+FebHD1GlyK9zppSjCFnoc1FE80ixxKXdjgKO9bb+IJ7LQZNCtfLaBm3yTAHcXzzg56cAfhVK4H2F5LK2DNNuMckmOW5xtX2/nVVrO4WYQtBIshOAhQg/lTi5078u+3/ANHyy3JdPPlTNd/8+43rn+//D+vP4VoWep3us6rDHql9LLEymOR5HztTByfwzn61n3TLDAtnCQ21t0rg/eb0+g/qa3NO0W3g8H3esXlyqylvLitCcNIAVOeuQOaqnzX5YvzYpW3ZjzQtNcS3F3m3hDFQMZPHG1R3xUMtw04W3tkKRZwsa8lj6n1NS6xO9zqTTSHPmAOAOgyM4HtSAf2dDuP/H3Ivyj/AJ5Ke/8AvH9Kya953LvoWJWEWlzWcZBEbIZCP4nJOfy6fn61U1P/AJClx7SGn2iGSymRRkvLEo9yd1Q6g4k1K5dejTOR9M1VR3imJblfNFKqlmAUEk9ABVkWiwgNeP5Z7Rry5/Dt+NYFFZUZ2CqCWPQAdas/ZorcZu3+b/nkh+YfU9B/Ohrwqnl2qCFO5HLN9T/QcVVoAnmumkTy0AiiHSNOn4+p+tQUUUAFFFFAFyYfaLCO4HLxHypB7fwn8sj8PeqdW9O/eTPbf8/CFAP9rqv6gVUPvVy1VxIsWJIvI1Clw52Mo/iB4NSagBbyfY423RxH7w6SH+99PT2po/0S2z/y2mXj/YX1+p/l9aSYedZRTDrH+6f+an8sj8KgZWooooAKKKKACiiigAooooAKKKKACreq/wDISl/D+QqpVvVf+QlL+H8hQBUooooAKKKKACiiigAooooAAcVau8TIl0vWT5ZB6OOv58H86q1assSlrVuk2Ah9H7f4fjQBVq0kCQIst5n5hlIgcM3ufQU4olh/rQr3I/5ZkZWP6+p9vz9KqySNLIXkYszdSaAHzXEk7AucADCqvAUegFRUUUAFFFFABRRRQAUUUUAWbNlZmt5DhJhgE/wt2P5/zqS7H2SBbPGJM75v97sv4D9SajskXzGnmXdHCNxH949h+J/TNPvGN2gvScux2zDH8Xr+P8waAKdFFFABVvUP+XX/AK90/rVSreof8uv/AF7p/WgCpRRRQAUUUUAFFFFABT4JWguI5k+9GwYfUHNMooAmuoxFeSon3Q52/Tt+lO1D/kI3B9ZGI/E0t58xhk/56RKfxHyn+VJfc3W7+8in/wAdFAFeiiigAooooAKVSVYFSQQcgjtSUUAW7gC5i+1R43ZxKo7H+99D/P8ACq8UrwyrJGcMpyKdbzmCXdtDL0ZD0YdxS3MIiYNGS0UgyjH09D7igB13EoZZohiKYZUD+E91/D/Cq9WrRvNVrViMSnKE9n7fn0qsylWKsMEHBB7UAJRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAWrYeVazXB4OPKT6nqfwGfzFMs7k2l0soG4DhkPRlPBH4inXf7uOGD+4m5vq3P8sVWoE0mrMtX9stvcAwMXgkG+Jj1KnsfcdD9Krodsin0Oau2UiXMBsLgqoZt0MjHGx/TPoe/wBAfWqckbwytHKpR1JDKwwQaXkyYt/CzbuRjxhqVuek000X4knH64rCIwa0dYkca9NcqSryMs6kdtwDj+dR6uqG/aeFQsdwBMqjou7kgfQ5H4UokU9LeaRRFFFFUbBQKKKALemSLFqUJkOEZtjk/wB08H+dXLRiLo6df7o1jkO2UD5rdgeSPUccj8qyK2dTkxbRXgGJb6Mbz6beG/FiMmpe5jOKctepd8T28lwLGeCH5ZiyARjKbsj7pHGD1/GtLwjrVv4Z1A/briwmfyzEN4d/KBIJGQpBHHYnvVLw7qsNvpQh1GNprMXQR9vLRl1yrL9Cp49/eqHinwveeFtRS2vnikMq+YjRNnK5756VjZS/dyPOcIVL4St1vbz6/h1LOpeC9atbOfV0hSawV9wuYpUIIJGCADnuOnSm6LrE0lxHY6jaHULdmwAQfMjPqrD+tRaH4ins7Z9Ku5ZW024I3oshUxHPDqe2PQ8H8iNrX9Hk029tpdG1eXV9Pbb5k8cgYRkn7rbScfjTu0+WfyL5pqao17Nv4XqtP0f3Es2o6hpeif2dpdwmp6WuTd2cqKzx5IIDAZIx6qcZ688Vg/2dpmsZOkzfY7k8m1uG+U/7rf0PP86xo5pbefzIJGjdTwynBFXmurXUiDeqttcf8/ESYVz6so7+4/ImmoOOqNY4Z0dYvXuv1XX8ynd2NzYzGO7haNh6jg/Q9DUFdn/Z2saXb2Sa7AkthfEfZ5xIkm4EZ6Z5GCOuD6EUx/CFvqFjLqemyNbWCnHnzENGrcDDYO5OSByCPc9aFWS3COOppe+16rVdvv8AIwYNXle0XT9QkknsQcohYkwn+8np9Oh/IjQ1zQdQ8E6jaSC8jMsqebE8DHIGe9Zmo6LfaWw+1Rfu2+5NGweN/cMOKLe8WeH7JqDsY85jlJJMJ/qp7j8frVtbx26luKbUqbXJrdW3/rr3NO68OX2oaJJ4ls4s2TSbZQXG5ZCQCADywJYY6n8s1mauyi/8mPG23jSLg8blUbj/AN9ZpWvNU0pXslupoos52LIdjejDsfrVBQzsAASzHgdcmnHm6mlGM07zaa6enmdR4RuP7OuLW7a2FyI5nmMTdG2ptX/x58D3IrrPilbmfQ7OaDQpLHyJS1xIsWE3OByCOOT+tU9A0ZYJraOaQwxQgGST6EsT7/MTj1wh7Vla7431XVdOmjnuN9lNfOVgYD/VjkLnGcc1y6yqpx6HiPmxGOjUpfZ31fXby7nNXZN5p8N31kiAhlOOwHyH/vkY/wCA1Xtb64s2zA+AT8yEZVvqDwasJJ/Z91uX97azpgr2dD1B9wfyIzTLnT3jkU226eGQZjdFPI9COxHQj+nNdemzPesl7ktuh6jpGv6LfaAlqkzW6agHXVMhv3fyEny+pHPQemfQ1w95pEeheIZ57acy6dbnfFOSP3wPRfqc9PTJ6VV0C21SHVIfs9lNIjuFeModrLnv/PPbrW/rNhNFFb2ccE9zp53xs5jO9WB4f2IzgD+6PeuVRVObSejPFp0I4TESjCWk91/XW2i8iHwrZ2uq+LF1G4n8mz2SvOxPNu2wgfhkjB9vatPxJqE2g6GF0e7dUnPlCRDjzE2rk/X5f/HjWN4W03ULPW9RsjZyyu9nLH5exir9PTsR3rpPHltavoPh+1s7YJImz7QAuDGSinDe55qZW9tFdDGs4vH04N3i7aaWtZvX8jz/AFxsXcEA/wCWNtErf72wFv1OPwqjBcPA3y4ZW4ZG5DD3FTapL5+rXUnZpWI+maqGu8+lLL26yxtLa5IX78Z+8nv7j3qtTo5GikDxsVYdCO1Wikd6C0IEdx/FGOA/uvv7fl6UgJNMH7jUWH8NoT+boP61n1oWTeTp2pFhy8SxDPqXVv8A2SqFJbsiK95iUqsVYFSQQcgjtSGimWa0OsmSMRagvmgdJQoLfiDw348+9Fxp0Ekfn2rjyj1dMsqn0YfeX9R6E1k1LbzywSh7d2R+xU0rW2M+Xl+AvyWstroZYgMJ5sB0O4EKPUf7wqtYSKLgwy/6udTG2exPQ/gQDWvf3UEt1HaiX7FNboE8xBiN3PLZA6fMSMjjAHFZtz+6l8vULbZJ1EsWBuHrx8pHuKcJa3JpyutdGymd8E3dJEbqOoIrc06K71m6/wCJLHvv3GZrQAFZsDlgp4Puv5e1S9tFu0jvLOZXMg2yIx2MHHXrwc8Hg9z6VBZXuoaHfpdWcklpcpkK4GCM8GipHsFWMpwfJbm6X2+fkT3FnbyXcltMn9mXiMVeKTPlhh1Geq/jke4qlPZ3FnIBNGyHqrDkH3BHB/Crl3Ida86+I/00ZkuFHST1cD+Y/Hp0n8M+Ij4f1VLmW3F5AqsDbyN8pyMZxzUe8o6Ec1SNNuKu10/yZWMsGp7RdOtvdYx55B2yem70Pv8An3NXn0TU9E0FtUntjGl0fJhmDBhjncQQe+MfTNVb6803Ur6e5NvJZGVy2yHDIMnoAcY/Ouv1iL7Povh6wt9W/tDTrlAslswBEOeSxOTgjccdMbfrWcpNNLuctatODpxStzPVPsld2a/U87rvVF5repaBZa1cfZIkmIhmkQJtURoc9gckcVxdlafa7oqW2RIC8kh6Ko6n69gO5IFdT4k8UXt9ZJHOscccG+3s9gwwjwAxPqcDbn3at5SlyOMeu5riueUowgt769rrS39bHOa9aQWOvXltZ3C3MEcpVJV6MPUVHpl9PYX0MsEjJtkUsAeCAehHeqlWLOze6djuEcSDdJKxwqD/AB9B1NJe6lc6uVRp8s3c3BDbXltIt3AtrGk7+bcQcLhQOSp4yd2ABj6Uz7TdBiPD2qeTCqbBAsvkuV75zgMT7E/0pniG5V7GxS1Gy1kDTD1kbhSze+VI+g/E49raTXcuyFc45ZicKo9SewqqsbSszBU1KPNLbs9UOntbyA4uIZkP+0pqa00i9ugGVPLTrvkO3gdwOp/AGtCwlktA66XJuK/6y8mOIox/sg8fmCfQZrZ8PeN4tC1QzNaDVJ2XyxO6qj5PoQM4+prGUp291XIrVq8YP2UeZrpt/wAN/WhV0i0upb6OU6pLLIGWCJmikZAxOBncBwMk4xitfVfDFxbam2mskN6GAJaEfLuPfaCWjPPUfL7Vz2teIVvr+QT27KFYlvIuGXLH7x5z34+gFZy6hbJgp9tQg5BFyP8A4mlOM9F2/M5nRxEmpbabWW/rpsdZbfD7VYNcl063vYrS4WHzminYMrLnHUZB+hA+lctd+UkrLfaYY5FJBa3JjDe+CCPywPauntNP1W78MyeIm+03dmjeX5dxLudxkDKjb0ycZBB4NULWKOS1e6tItSiiib97CJzkZPAX5efT271FNyb1Io1al3ztStpppZ9db3+8zrIGaBvsdi6wKw3ZJZpm6hSeAF7nAH8q6XwZ4l/sG4vLNLe3v2uB513LJyq7Tzt9cAsc9z092aYq61qKWmtfZNKtNh2NeXDFxjp8hcDn1I5qx4UEGp+LpNHj3R6eiTLcXVnCqM4CsAcqOF7jrk468Vrfnfs0rixUoVac6c43SV3v+fV6bFrxfplzrS22vR2BsbGSyEO4kIgPmNwCcAEjH51yFtJb214073gP2aJjHDbLlU4x944BPPUZzXo3jyCWP4SwRrqpNpDdfubWZR5rKDsUk8Hqrt07+1eZeF9Il1u+uLSCSONmt2+aQ8dRXVRpyjyUo7jy182Gs3ZR0/q4y61L7BeMNJgS0/iWYHdIQeR8x6dewH41f0Cxn1y/lubRHW4VCJWwSo3fKWz2OCTj249Kx9Qixb27khiu+BmHcoev5Mv5V0fgUalHZ6lPZBvs5EaS424I3c9efu7unrXRhoJ11FrTc9KaUYXW5rePrTT49ESS3vgZQyBYD94jHX19K4nRGjh1D7XMDstVMnHUN0Uj3BIP4Vu+K51iS1huU89cDknDLiKLofrnjmspbWAaJmC5VHu5Pljm+UlU689OSepx901WYPnrvlRENKSj3Nq815LbUrq08MtJbWd3ZgCNxnLbSeM5xwSOD1NZWn+IL0RNAiwu6gtGPLC57kfLjOevPp702DStTuooZLG1klubRsfucPlc5UgjOcHI/KqF9byWt75kaPGH/eJwRt56fgQR+FKrUqv3tuxrCMFoaFv4qkhuFmbT7Z3Vgy/PKACPbfj9K2JPHuoatayxXFraRD7z3Aj3bV/u4bOc9MVzf9nveOLpFMcDAtIwXIRu4x6+g961ba0kt41uJLfZFFhoIZiFVm7M5OAT/IfhSp166VruzCUIb2KV9FDb6mzxwKZpmDQ2oGRHuGRkfjwv51VvWlubpLaLdMYsr8vO5s/Mfz/QCre2K0V7+9uvPuJywQQ9c/xNkj3xkZ9ulZ8l47r5NsghjPG1OrfU9T/L2rGVlv1NFcuXbR2CWzjbLdGEAMCCkeCRn3PH0rKZy7FmJJJySe9aU9i/9m2Uk7LAu11zIcE/MTwOp6+lVFa0hbIV7gjpv+VT+A5/UVFSV2OKsbfhC4WyuHuXtPtSxyK3l49EkOf0rN1AWz6hPcSFYhJIXW3gwdgJ6Z6D9atx3Uo8M3MhIRJJfKCIu1QcD09ifyrDq5yfs4w+ZKS5myw16VXZbIsCdyvLN9W6/lgVWJz1oornLCiiigAooooAKKKKAFRijhlJBU5BHY1ozwx/bJbuRB5BIkCdAxYZ2j26/gKpW8JnlCAhR1Zj0UdzVzU5RNb2ZiyIljMag+zHk++CKtaxaF1KMsrzytJIcsxyeKmsvnd4P+ey7QP9rqP14/Gq1KpKsCpwQcgjtUDEoqxfANcecowsw8zA7E9f1zVegAooooAKKKKACiiigAooooAKt6r/AMhKX8P5CqlW9V/5CUv4fyFAFSiiigAooooAKKKKACiinwwvPIEjGSfyHufagCa0067v/M+x27zeWNz7BnaK6DwQ0dp8Q/DsUJEkp1W2DyDov71chf8AGsqHV59Kt5rbTJmQTDbNKP4/p6D9ai0LU/7E8R6bqvk+f9hu4rnyt23fscNtzg4zjGcGgD7J8W+GLbX/AIleG/Er7RD4fluVvMjjCx70z9CQa5T4qeBdO8aeMf7e8S382n6Fo+iLc3ZtVDTSbi5CpkEDp1IPp3yPOZv2gLi/tfFtiujtar4lbMcgvt32ImBYjj5Buzsz/DjPfu68/aFuJtfZ7nwxBLpU+nLp1/plxdlxOq7sMHCDYfm/utx+BABf0P4I+EvFN94d1XQdV1dvDWsiaJ0uDGl3BPGrHGQpQg7G7cY6nPFjQPgl4K8U3WrT6BceJruw0eVrOeAPbJPdXIIyYmfaqoB/fwTntjnBsfj4uj6xog0PwpDp/h/Rkl8nSY70szyuCDI0zIScbjxjuck5GMLwx8V10X/hI7HWdAi1nQfEEzzz6c9y0JjkLZysqqT04PGeAQRzkAj+L/w1T4b+JLW3s7ieaxv4POgFzt82LBwyOV+UkHHI45/E+fV0PjXxPaeKdcF3pfh/T/D9lFEsUNnZRqMAdWdwo3sT3I6Y+p56gAooooAKKKs2UaGUzTDMUI3sP73ov4n+tADrr/R7aO1X73+slP8AtEcD8B+pNR2sqozRzZ8qQbWx29D+BqKSRpZWdzlmOTTaAHzRNDM0bdVOMjv70yrf/H3af9NoB/30n/1v5fSqlABVvUP+XX/r3T+tVKt6h/y6/wDXun9aAKlFFFABRRRQAUUUUAFFFFAFonzNLUfxQyn8mH9Cv60275S3f+9CP0JH9KW0+cTxf34iR9Rz/Q0rEPpUePvRTMD9GAx/6C1AFWiiigAooooAKKKKACrFtKu0wTn90564zsb+9/jVeigCSaJoJTG/VT2PB9xU1z/pEK3Q5bOyX2bsfxH6g0sRF5Etu/8Arl/1Tev+yf6Uy1YJM0Ux2JINjkj7vofwNAFeinSxtDK0cgwynBHvTaACiiigAooooAKKKKACiiigAooooAKKKKACprSJZbpFk+4Duf6Dk1DVqAeXYzzk/M2IkH15J/IY/wCBUAQTzNcXEk0n3pGLH6mmUUUAFaS41W32/wDL7EvGf+Wyjt/vAfmPpzm05WZHDISrKcgg9KGrkyjfbcuakd/2WY9Xt0B/4D8v8lFOZftGiLIOXtZNjDvsbkH8CCPxFX50Ot6NFcRhRdwOySIo/wBaCNwI/wBr73HfBrO0xv8ATDbvwtwphbPv0/IgH8KhPT0MIyvDXeL/AK/Ao0U51KSMrghlOCCORTas6QoooALMAOSegoAmtYRLKTJkRIN0h9v/AK/T8avJN/aVncwvgSRnz4QOgAGGQfhg/wDAfeqtyfs8ItVPIO6Uju3p+H881Ha3BtbqOZQCUbOD3HcUmtCZJtaFrTG3pdWv/PaIlM9nX5gfrgEf8Cp0V79ujFrqcrNj/UzuSTEfQ/7J/Tr65ZcAadqSTWx3xEiWEn+JTzg/yPuDUepW6296fJOYJAJIie6nkfiOh9waWjZlaMpX77ENxby2lw0M67XXr/iPUVb0XULrTtUgks5miYyKGA5DDPQjoR7GpdNC6pNBpl0dpdwkM/ePPY+q/wAvzqxq+gS+G/E0NhNPHcMrI2+LO0gmjmTfK9w9pCU/Yz3avbuhLmXStWlZjGul3THnYCYGPrjkp+GR9KzLvT7mybFwnyn7rowZG+jDg1BJ/rG+pqe1v7izz5MnyH70bAMrfVTwaLNbFKDh8D07P/M0LTxRqcAhjuLhry1iG0W1wd6bfQA9OgwRyK7Syex1nwxfTafq4sizDzdJnk/cysSOSD0yccj0zxXOrP4TvfC7RyW7WOttJxKu8wqMjtk8Yz271hzWt5pFwsn3c/cmiYMjj2YcH6VjKEZ7aM86pQp1/hXJJPtv+j9dzcFtq2jM/wBgRmi/5a2U2JAR7dnHuvIrU8P+GNF8Y2+oSQmXTb63j3C3B/dk4PPIzjPasSy15JQI5SIJMfKdzKgPqCDlfocr7Ct+y8W2+lxXCa5o5u2kTbDI8cbAdedygBh71E1NLTc58VHEqD9kvf01W7189H+Zz8Okaoi/Zbm0gu4M/KPtEYZD6qd2R9Dx7V2Phj4bSx3CX9/bSRsATBFLIrJu7Fyvb09aoeHvFWjz3MlpqTSWMMibYjZ24jIckc7gSw4z+dTm/vDor/vbm0sY5uA7+ZKwA4ZQehYknOCfTgcZ1JVX7uxy4urjZ3pR9zbXXW/bXcfq8wkgltvMka+uWaBFSPaqnoWxn7uOBnH3s4GAK4y9sYLCytYNQuMSgNI0MGHI3HjLZx0HvWrq8GrWM0E2rRf2ZYACSCESKzyjOexJZjnJJ4HtwK57XnaTXrtmOQZDs/3f4ce2MYrWlG3U9DA0uVJRldb6fduWbXUbYJ9ltrOJSTmOa4HmsG9MH5cH6enNMt9bvkkaCZ3lik+VoB8uP93HQj2/lWWqlmCoCWJ4A6mtu4IsrczqFbUQAk5HIgz0P++RwT2Pv06GlsejOELcrV2S3ccmm25NpO1yzMBPLnLQjr5Z9D6npxj1rRa20d/DevC9upVv7a7MlvEo4OTt54xg/UdBXK2V2bS+jny21WBcKfvDPIrub+50bxBrU6adZnT11LTmIPVS6neSQBnOYyvFYzTVkcGIjKDjF3tu2rdGtH8uxN4Mu3s9B/tuDV4kvbVhbNZuA7SQtInOM5GCTz6DFd1f6zoV/fStNP8AIsO2PEAIldg2BkqeCARXj2mWsukefqEo8+DZ5SNA24OW+nTAyeeQQvFdPpu+PS42ncNEo8t5sZymAIpPbDNGPXqPWsKlJc/Pc8zF4CnPEe35tV2/L5fqcvPFpWqeZc2dvLbNkmSGJ9+weoDckfjkVmyaVIYjNZul1EOSY/vL9VPI+vT3qbXLCfRtclj2tCQ2+M9MA8/p0/CkS6gvZFaYi0ux0uIxhXPqwHQ+4/LvXXG9rrY96ndRUoO6fzM3HrQODxWvdcsI9Yh2OfuXcIB3D1OOHHuOfc1QurGW0ZS214n5SVDlXHsf6Hkd6tSRvGonudLbTaHdfD+5jukkGuS3IEMxyEcDGAecZwW5x3Ga5N1aNyrgqw4II6VdvR5On2MJ+8UaZh6Fjx/46oP41EkqXMYiuW2uOElPb2Pt79qUFa7Jow5eZ33dyrRT5YnhkMcqlWHUGmVRsFXtKiU3DXMw/dWqmVvc/wAK/ixA+mfSqIrQuh9j0+K0z+9lxNMP7vHyr+Rz+NJ9iJ6rl7lGR2klZ3OWY5J9TW/4W07/AISK/Giz3CQpIjPFLIf9UwGRj2PQj39q56nKxRgykhgcgjtRJNqyJqwlOm4xdn0fZmn9lS11O60maVXUSlFkXoXU4B+h6fj7VveIjoK3ltb+H2ms8wKzrcgvGzEZGck469elc7dKL2I39qMSAg3EY/hb+8PYn8j+FadnLpupTWX9uSPDab9ks8ed0PcjGDkHqOOCTSd3FS7HNUUvdqXfu3ul1fp18jPEosb5XmtXtpo258s/KfwOcgj3xzTb/Tok1GeK0uI8K5CpIdhx9Tx+tddNrNha6Lf+H9Ajt9Vh87fBNdZEuPlPy9M8joMHnoea4OeSSW4d5smRmJbIxzUwk5atWLw9WVZuUo2/N/LoXbPTHNwXvlaK2hAeVyuflz0HqT0H+HNeoXv9g6/4JupPDUUenxWFvIVeZR5nRt6dSTlT6/xCvMdOeWSzuLa1kZZiRIiqcb9ucgepwc49q2PCfiuz0Wa6XXNNXUYbiMpsKqNp7k+vFZ1oOWq3Rx5hh51kpwb5oNNJde+m33mPp0Et5ZT2tou+d3Q7AeWXJH8yK6bxf4M1aHUrJLNDf+dAAkdshYx4GWBxxySxrNOlQTTJfeHzcbid6RxEMyn278eh5xzyOa7r+2NLsbaG40zyR4iQI9x5hKIzupyAeVDH2wO3tTnOSV4meKxFaFSM6Gu+nm7LXsl3PLk0uSFpG1IPaRxNtcOpDlh/CF9f5VFd3vnosMKCG2j+5Gvf3Y9z7/lxxXR3l5NqN3JLqWbp9xLRzQrLtJOSN0bAqM9uKktk0vTtStJdY05ba1ZtzGO0kYsvt5jkenbNVzO12juVWajzzjd9kR6HpNjqNjpz628ttYxzSJJIgJdgQMBQASfmx0Heq2uLpmnX8tpay+dZxSHyoEODIOzSN6n07dOKt6lrdoZpY9JLrp3nNGZHyZXR1HJJ6YK5AGBwK5OaJoZ3jf7ynBrWUXO1R9loTSpzqy9rNtK3w9v+CS3V9NdkB8LGvCRIMKg9hT7I+Qkl2eWi+WMH++eh/Dk/UCqnWrd6RFHDaLx5Q3SH1c9fyGB+Bq4K2p22SVkVOtavhzQLjxJrCafaOkbupbfJ90YFRWGjzXgMkrpa2yDc80vAA9h1J+nerE2tJa24tNERreMfeuD/AK2U+pPYew/xqZRbXYyqym4uNJ+937Gxruj3uiKBPO09tAiRtFau20MBn5+PlBPPvWdo3jDUdH1qPUF2z+WpVYZGbYoPoM1pDX7+38EzadEVaG9gSSQsuXJ8wqcH/gA/WuaFosCh79imeViU/O31/uj6/lUQi5xcWtP63OSjS9pTlTxEU+nqrfgWtVjk1HXry4JVI5HMzSHhVDcj+fStPwjrV/p/iWxtvD4A82dEZXUZnyedxPQfTp+dZWt3LzNbBQI4vs8ZWNeg+XGfc8dTVC1uZrO6juLaRo5Y23K6nBB+taRnKmv3b17nUoOVDlXY9N8XWtzdwtb3yj7d9lkWWNSDtdMTLjB5yhf8c15vpkwt9SgZmKrvCuR/dPB/Qmu/tdU83WJ72+8y7ay8i927vmkjZQCPcDf+RNcf4rFqniq+XT7dba3WXEca9APX8etTzyVb3vU8/ASnF+xkul79L/n1KTKw0+4hf70M4P06g/yFavhm9u4IZ7eCd0ilkQMgPBOG/wAKpTDdNf8Ao8Sy/XkH+tafhGLzHGF3f6bbjpnrvrtpXVVNeZ6c9YMXxn+9ubcpzudwPfhKxNVbbdi3B+W2UQgehH3v/HiTXU6hbTlLS/MLEW6vKpYcbysYXOeOvP4GuTe0wSbi5gQnk4feT/3zmssXriJEUdbeRqeDp79PEEdvpdx9nmuVaPeQCBxnPPuKju7i80q/utNv7h5dkmGaKQ/K3qCf5VDpItY9Wt3EkrmN/MJVQvC/Mf0FNhnhAe5e1VlU/elYuzt6c8fXimqrjSSXc1cE5XO40vWtKvrOwj1GzmhtY/kJU/NLIQArnGOBg5zXJ39rJqGszvdT/Z7WN2x5zZdIwf7vJyffqTVXVL+6nmitvNYBFA2JwNzcngfgPwFafiu0sLCOCLSL0XYYA3bg5IccAHHbg/jnPatqlSdSLcun4kRjGL0Me6ns5JtyiWRVG1EyFVVHQdzUDX0n3YFSBfSJcH8+p/Oq1A61xNtu5sXbpibCz3HJKu3P+8R/SqQrpIPDN7fXum2NwPsYmti0csy4UjJbj1+8PzrJOniLV5bOSUMkDsJJEH8K9SPyradKas2vL8CYyi9ET6gGttC061Lf6wvcsv8AvEKP0T9ayqv6tMZpoWIC/ugQo/hBJIH5GqFRUfvWHHYKKKKyGFFFFABRRRQAUqKzuFRSzE4AA60lWxiyhz/y8SLx/wBM1Pf6n+VABO4t4jaxEE5zK47n+6D6D9T+FK/z6JEf+edw4P8AwJV/+JNUzVyP/kCz+1xH/wCgvVx6oTKeKKKKgZa/12mf7cD/AJq3+B/9CqrVmx+a4MJ/5bKUH1PT9cVWoAKKKKACiiigAooooAKKKKACreq/8hKX8P5CqlW9V/5CUv4fyFAFSiiigAooooAKKKkt4HuJQkePUsTgKPUmgAgge4kCJj1JJwAPU1LNMkcZgts7Cfnc9XP9B7UTzIsX2e2GI/4nPWQ+p9vQVWNABRRRQAVanxcQLcgfOMJL9ccN+I/UVVqe1mWOQrKMxSDa49vX6g80AQUU+aIwTNG3JU9fX3plABRRRQAUUUUAFW5/9Hso4B/rJP3snt/dH5c/jUdnAs9wBIdsSAvIw7KOf/rfU0yeUzzvK3BY5x6e1AEdFFFADopGhkWSM7WU5BFT3USkLcQDEUnYfwN3X/D2qtU9tMsbMkoLQyDDgdR7j3FAEFW9Q/5df+vdP61BPAYJSpO4dVYdGHY1PqH/AC6/9e6f1oAqUUUUAFFFFABRRRQAUUUUASW0xt7mOYDOxg2D39qtGIR/bYF5UAMpPcA8H8jVGtGMqZ7SaTiKZfJkb0/hP6EGgDOop0iNHIyOMMpII9DTaACiiigAooooAKKKKACrjYvYy4/4+EHzD/noB3+vrVOnI7RuHRirKcgjtQBYuP39qlwOWXEcn5fKfyGPwqrWnF5dyWkXaiyjZMvZCejj2z+VZro0UjJICrKcEHsaAEooooAKKKKACiiigAooooAKKKKACiiigAqzcfJbW8X+yXP1P/1gKhhiaaZIk+87BR+NSXsqy3kjRf6vOI8/3RwP0AoAgooooAKKKKANHTJGaG6tg2C8fmpz0dOQfrjcPxp26LVSBIyw3vQOcBZj7+je/Q9/WqVncfZbyKbbuCNkr6juPyp+oWy2l/JEjF48ho3I+8hGVP4giptqZOPvlnWI5Glju5kZJJhiYMMESDhs+54P41nVtaberf2cml6jmRMeZbyD76OB0B7gjIx646VQudPkhi8+FhPbN0lQdPZh/CfY/hmhPoyac7PkluinVuDFrCLh/wDWNkRL6f7X+Hv9KjtoFfdLNkQx/ePqeyj3NMuJmuJi7ADsqjoo7AVRuRk5NKKSloA0LbF7YtaH/XxZkgP94Y+ZP0yPx9aSFRe6a0Of39tmRAf40/iX6jr+dUo5XikWSJirqcqR2NX7hsPHqlkoiBf51UcRydcY9D1H4jtUsxkmnp8vX/gmfWlpt6rzw218DJF5ilJOrxHPUeo9RUN9DG6i9tF2wSthkH/LJ/7v09Pb6VBZn/T7f/rqv86ejRppNXZox6atvcXsl0i3EcEPnR7XOyUF1UHI5x831yMHvVaSziubd7jT937sZkgY5ZB6j1H8qt6NdhriXTrnm3ug0YJGTGx6MPxA47/lVeDdoetQTTKJkicSDa3yyr7H0P8A9Y1F3drqYXkpNdVt5mbVuy1Geyb93tkib78Mg3I49x/k1qeKLy21u9/tbTbKOzt2xG8EYA8tgO+PXrn/AArAxVL3lqaQftaac1buux1934e0e/8ADcep6JerHfO/73TWkDeUOeh644GM+oGc9eajnvbKQxRvLEwOCnPX6VHaXD2lys0fJXqD0YdwfY10dxJb6eIxdEtJOge0nK5e3jYcZ9T29sZHaos46PU5kp0fck+dPa/5fL7/AFKz6rNpse2aK0e/Iz/x7R/uPckLy3t2789K2r3tzd3S6ktxKwuBk5Y/I/8AEv0zyPYiqF5ay2lwUmwSfmV1OQ4PcHvT7O7EO+GdfMt5Rh17g9mHoR/9bvVcq3Rr7KK99K7/AEHahq+oat5X9pXk1yYV2xmVs7R6VYv4pdQuLSSBCzzWyDaO2weXk/8AfGfxol0VrfE9zOsdm4DRTdTKPRV659ewPU1Ld3XmaBElijQ28crRv3aTIByx/Pjp/OldK3KJOMVFUlp+H9XK5ni01Gjs2WW5YYe4A4T2T/4r8vepbz+TNub5kYbXX+8D1qA9aK0tY6IxSJrmA285TOVIDIw6Mp6Gtjw7MZLy1jQ/6RBNvhU/8tAfvJ9e49eR1xWZCBc2ph/5aRAvH/tDuv8AX86sQZ0u1FywxdzL+4HeNf7/ANT0H4n0qZq6sZ14qcHHqy34hLaTqjWNjI6RwktvU43luc/hwv4V6D4K8S2cGi2mla6kbQX0bIZmGT5m4ttOOxUoR7muO1C3XxLZWVxbbUvWVYtueJnOc5PZiwY+nzDpVe/V7S8Oj3ytBJwULjaYnAAQn2Kgf99A9qwcI1IWZ5lXDQxeF9nPRrfvddf1Om+Iun32tae2uxxxta2MjW3mRsPmTeQGxn3H05rzQV6b4a8Q2xhupPEUMkttKBbXsYyVhfBHmlP9roSO+T3rj/GGhf2B4jntoEcWj/vLZ2O7fGehz3pUG4/u2TltR0ZPBzW2z6NdvVX+7Uy7W+ltgUAWWE/ehkG5W/Dt9Rg1pae9pcXAggYRLOwV7a4y0bE/3WHKn0J/E1h1oaYBCJ72TGLeMiPPeRuF/Llv+A10SWh6tWCcW1uXfEemXCXxuYopHtnIjjO3O0KAAuRweAMEcEfjWQbWcdYJB/wA10/gyUCG+DaklrtUOsMhBFxwcrtPX8O9Ub65g3JKySJFKMxzW0hXPPIZTkBh7YHfvWnI4RTl1MoTnB+zavbqZaOJFFveZXH3JCOU9j7VXlieGQpIMEfr71u21nd3ik2F+xX/AKelKKPqxyo/EitOz0yWcxWmow2t7vOIjaRGTy2PYtGVUj8TUuVPuaPEU47s5nT4ELvc3P8Ax7243MP77dlH1P6ZNVp5nuJ3mlOXdixNdRrtvp2kXQ0u60rUIfIJLAyCMSMf4sFScYxjnp9azjeacRiC0tYD2aaKRz+Pzkf+O0RV9UTTq8/vpb7ehiZord866dc2z6TIP9mGFD+TqCagku9Uj5e2jA9fsiYP/jtVyyXQ25pf0zOtrmW1nWWBtrL+RHofUVo7bdo2mjBFpcHZLH3gfqCPUentke9MGp3hOPs1sxz0NlH/APE10Xg+0udV16G0k0GCW3nOJyVeMFB8x77c8ccdaylNw98569T2UHVfRdzj5Ynt52jfh0OOKvA/2tbsGA+2woWDYwZlHUH/AGgOc9x74rqvFNloV1q9wscf9mtaKEMMMgmZgBycDIyD/tdB04rM8PtotlrdncwSNdzRyArDcgxqzZ4AwGB7dSKUprl5kjL61z0faxi72v8A09jnLaGWa4RYFcvuGCgJIr1HUfAOh3GlxaidX3RDCyXMabmLdMMFHbuSMjvmuO8SyX93rVy1jZm3spZSsUdqo8tu3VODUtjps+n2a+fIwxKJWXftQFeg3HjHPJ79Bk1lU5pJNOxy4r2taMKkKnI+ys736fL7jX8R+GNY8L+S+hRi60yVMtJbpv3+z8knjnIwOeMGr+ueE31TwZZ3ejJJPqJUC7iRcnK/w+5Xdj1455rkf+Et1KwiSGw1K4lMfAldjtUf3UU9B9f0rrPDPxUmtbSSLVbbzYYhvK26qucnBOMep55qOWso6av8zirUsxp04zglKUX6OS80cJIsmoWrlom+22g+dgOZEBxz/tL/AC+lRXWualdJClxdyMIRtQcDA/Dr0710mkz6s3iZdUjs7hLJXaaOExFUkU52oBjB3ZA78ZPaqHi2aLVPElzeubSyjYhVhhYP0ABOF9SCecda6YczdraHs0q0/aez5dLXvfZ9jOsL2adZbZjGzSLmPzI1bLDkDkd+R9SKke4W+tlm+wQSXEWEl2hwWH8LYDAe3T0qmklnbuGRZZ3U5BY7Fz9Bz+orRi1F7mYPatFbu2RLbZEaSg9cN7+5z6GuuKTVmzrbfQLOztEl8/UYfISIeY0azZYgHptwSMnA5I60yK4s5rrZZW8xuJnwJZCrtknsMYH1p93ol7aWW2K2mdbp96vt/gHTJ6Dkn8q0vDPh63K3cuq6ra2P7nZGwuEZlLHBzg8ZGR+NU6c01CKszOc0ouRk6hdWkuLWGWdkQ/NJgEzP/ePt2A9PqahGnWyR+ZdXMluh6K0YLt9Fzn8TgVM6CDMdhNaxAEjzTKDI349vwx+NNsdAvdT1KG2hkt5JJ2wGFyh/HAJP6VmqbTta7KTjGJ0EEMc3h6P+zi0aLZsguJ9qEkTkkAlgB97t+dYuo+HbrTrKK/vo5xbTn93ONjq59iGNbWraZd2Ukmn3EZHki7hXaMrtREcY/L+dZSXGrax4Z/s+aWRoLJvNhErBVVehGTxxwfzrnftea1upx051E1KLVm9fTXYp6kLT/RcvMf8ARkxhR7+9Uv8AQh/z3P5CtO/so3sNPlN7briJonOHI3K5OMhcfdZfzqLTtGMmq2a6h5i6fLOiSXUILKFJAOCAefb9Kvlaj6HXGajC76X/AAOs8N69pmgeKdIvby0mlS6sEgb94MKCxTJGOcBaqeONMu7aaPW7rS4BDe/xtKSQwyMYDDsAeneszxgthFqVv/Ys5uLK3T7PFI3VivJ7D+/Wr4luZtU8GI8kzubK/bK7iR5ciKVP4HI/GsmrzUl1PMjG1aniYK3MrO9726adHdoxIrySRYJESFBJaSodsK/eVWwMkZ6bKt+HL+5FqSZXOLyE8HHTP+NZmkt5n2aM9Eu1H4SDB/8AQRWr4NthcyFHJEayiSQg9FUZP49h7mvRp7p+p6dRqMWw8SSFfDWnRFmaR445pST6hgo/8dJ/EelcnXoGr+JNJu9AhsraxWOa9t/9dL0iZWKgDrgcMM9siuClieKUxyKVYHBBqcVFKV0733Jw9+TVWLmkQma5mO4IqW8hZj0UFduf1pm77bfQW8WRHvWONfqev1NWFH2XTbqFf9YUXzm+rDC/h/npUehW8txr1mkEbyOJVfagyeDn+lYpN8qNr7sWKbOpXN4P+WW6RPZs4X8iQfwqtayqsrJMT5Uo2ufT0P4Hmpljkt7O9SZGRwyIysMEHJOMfhVGlPSyGh8sTQzNG/3lODimAc1blAuLNJx/rI/kkHqP4T/T8PejTlU3yPKu6OHMrqf4gvOPxxj8amKuxlrXdUvb66jgvJzKtmvlRggDbgAHp7iq7/6LYhOfPuMM3+ynYfU9fypLZRI8l3dgvEjZYE48xj0X8f5UtoReaxE10fkaQNKR2Uct+gNbOTlLme7JWishupY+3Og/5ZqqfkAD+tVKfLI0szyPyzsWJ9zTKxk7u5S2CiiipAKKKKACiirNvAqx/abgfuVOAucGQ+g9vU0AOgRbaIXMwDMf9Uh5yf7xHoP1/Oqru0jl3JZmOST3p80zzyl36noB0A9B7VHQACrg+XRT/wBNLgY/4Cp/+KqnW/qmjrY+E9MuxdRyG4kdzEv3lyB/Lb+ta04uSk10RLdrIwKKDRWRQqkqwKnBByDVm6jM1/mFMmch1VR3bsPx4qqK1v8Aj30aG7P+vbdCn+yvXd+OSB9DVRV3qA022lxnZNdP5i8PsXIz3we4orMoq/af3UTy+ZY/tC4P32WT/rpGrfzFL9qgcYlso/do2ZT/ADI/SqtFZFFnFm/eaP64b/CgWkcn+ouomP8AdclD+Z4/Wq1FAE8llcRjLRNj+8BkH8RxUFOSWSI5jdkP+ycVOt9IT+/SOcdxIuf1HP60AVq1NR02+lvpJIrK4dGAIZYmIPA74qqWs5eSkkB/2TuX8jz+poFl5ozbTRyn+7na35Hr+GaAF/snUf8AoH3X/flv8KP7J1H/AKB91/35b/Cq8kTxNiVGQ+jDFMoAt/2TqP8A0D7r/vy3+FH9k6j/ANA+6/78t/hVSnxRPNIEjGWJ4FAFqPRtSkkVPsNwu44y0TAD8cVPNp98kX2e30+62A5Z/IbMh/Lp6Cqs8qRRfZ7c5H/LST++fQewqrQBc/snUf8AoH3X/flv8KT+ydR/6B91/wB+W/wqpRQBb/snUf8AoH3X/flv8KP7J1H/AKB91/35b/CqlFAFv+ydR/6B91/35b/Cj+ydR/6B91/35b/CqlFAGrJpmoT2alrG4EsPy/6lssvbtyR/L6VV/snUf+gfdf8Aflv8Kggma3mWROo6j1HcU+6hEUgaPmKQboz7en4Hj8KAJP7J1H/oH3X/AH5b/Cj+ydR/6B91/wB+W/wqpRQBb/snUf8AoH3X/flv8KP7J1H/AKB91/35b/CqlPhiaedIk+87BRQBpDS7+HTiFsbkyTNggRNkKPXjuf5VV/snUf8AoH3X/flv8KjvJRLct5ZzGgCJ9BwKgoAt/wBk6j/0D7r/AL8t/hR/ZOo/9A+6/wC/Lf4VUooAt/2TqP8A0D7r/vy3+FH9k6j/ANA+6/78t/hVSigDVg02/lj+zXFjcgZ/duYW+Q/l0NQarFJBNBFMhR0gUMpHIPNUatxsLyNYZCBMvEbk43f7JP8AI/5ABUopWVkYqwIIOCCOlJQAUUUUAFFFFABRRRQAVZhJksZouuwiVfbsf5j8qrVPZypFdKZc+W2VfH90jBoAdffNOJR0mUPn37/qDVarssZ+xPC/+stZSDjup/wI/wDHqpUAFFFFABRRRQAUUUUAFFFFAD4pXgkEkZwR7ZB9jV/UYluII9RtlxHJ8kq5z5bj+hGMH61m1e02dkMsK/MJFyEPRiOcfiMj8aAKNFWJ7dfLE9vkwscEE5KH0P8AQ96r0AFFFFABRRRQAUVJHbzS/wCrid89MKTUw064/wCWgSL2llVD+ROaAKtFWTaxL9+9hz6KGb+mP1o8q0HW5c/SL/69AFairO2yHV5z9FA/rR/oX/Tc/lQAWPEzSf8APNGb6HGB+pFVq0ozYx6dM+2fdI6xj5hyvU9vUL+dVf8AQvScfiDQBXoqxiy/vTj/AICP8aPLsz/y3kH1j/8Ar0AV6Ksi3gb7t5GP99GH8gad/Z8pGY5IHHtMufyJz+lAFStCVTdaRHOOXtm8qTnnaeVP8x+XrVV7S4i5eCRR6lDUunzrb3RWfIhlUxyj/ZPf8Dg/hSfcia0uuhXjkaGVZI2KupyrDsa1ZA/25bywPkRXCmRsD5Y/7wx6Z6D0IqjLYTRXz2h2l1PLA/Lj+9n0xzn0q9bTR3Fq+kRco53xSHgmUf0I4x64NDtuTO1ubp+g24urDUNqbDY7ejIuUc92K9QT7cegqpc6bcW6+ZgSwn7s0R3Ifx7H2ODVUjBweKkguZrZt0Ejxn/ZOM0W7D5WvhZFRWgb+C4XF9Zxlv8AntB+7f8AEfdP5Z96QWtlN/qb4RH+7cRkfquf6UX7j5rfEihVqxuhbSsHUvDINsqZ+8P8R1FSSaPexjKwiZcZ3QOsoH4qTiopdPvLe2juJ7SaOGT7kjxkK30PfoaLpg5QkrN7lnJ0u44xcWdwn0Eif0YH8iKBZCG9tp7djLbSSrsfHIOfut6GorO6RYmtbwbreQ5yPvRN/eX+o7j3wRas/P0nVokO2WGQg4zmOZPX/PIPoRU6pkLmT8/z/wCCZm9o596HDK2QR2NbF1LBM4SYBba7HnQv/wA+7n7w/wB3ORj0wapyWKXMbz6azSBeXhb/AFiD1/2h7j8cUsK/a9Klh/5a2p85Ae6Hhh+HB+m6h66inaVpEcbzaVevHPHkY2yxMeHX/PIP0NF5ZrGi3FqxltZD8rEcof7re/8AOprb/iYwLaXAYSLxDNjIH+y3t79qntNK1izuihgWEMdrJdOqJIM9MMRu/Ci9hOai7t2f5lKwhjRXvLnBihI2of8Alo/Zfp3PsPcVYf7Rqmm+Zh5p47jBwMkhwT/NT+ddNcad4Sm0Y2y6pJHqcMm1LeMnynckZ+Yr9QDnoB9aoi8GkteaNYWvkOYGMk0h3yNIo3cHpjggYHfOamMlL3rbHIsS6jbjF3T6q2nf/hinZ6NfNZtDqlu1tafejuZvlETe3cg9wPr2qlK1vpUzxRQedcodpknX5UPqF/qc/Sqf265Fx5wncyf3i2a6P+xbnxP4dm1qziRH05St3lgAVAyGGfbIx9McVo0tzWUnSalVfuv7rv8Az/pGJDqTSb4tRLTwydSTloz2Zff26EfgR0Fpqk1h4O1jQvIt5IpY1uYrocl1LoOPwPTqOQa5DNdX4I0yTxDc3elB0T/RZJI3c4CnAXH0JYH8BWdRRUbvYMXGlTpc8/hjZ/d1OToqY27/AGpreMGVw5UbBncc9quCKDS2zcbLi6HSEHckZ/2iOp9h+PcVrc63JLYSzjSwWO+uwSc7oYe7kdz6L/PpUWouZ7j7XuLCf5uf4T3X8P5YqvPPJcTNLM5d26k1NakTRvav1f5oz6N6fj0/KkkOMbO73Ow+Hp0y6S5sr67lhvWO6zVB1I+b0PdQfwqjDqOn694olTxhcvDbl2AukH7yPAwq8KcjgduKyfDzG11Br0D5rSN3UHu+04H8z+FP8SW8f2yK+tv9TexiUY7N/EPrn9SR2rJxtJ67nFKjapKPM/f2fZpdPzO30LUINNOppa2kOoJORGs0jf6+AHAfj+IArkcHAz2JrZ1E6VpyJomuJDqW23/c3DoGEIYlUbPXAOFJH+zXj9lqF1p8wls5miYHPB4P1HeuttIr3UtPuNbhh+0abCP9JjZwrWxxyEyeVI/h9DjqAawqUbSvc8rFZeo1PaSlZPzs77LXp+v4HKajp9xpl9Ja3ceyRD+BHYg9xU14ht7S3sgMytiaULzgsBtX8Bg/jjtXZWlnaX9oq6zKr6VFh7TUyQCmTjymB5PPBHbr0rD8R2l/oN46fZ9gmO8XwIczA91YcKPYc+tbRqczs9z0qWMVSapP4l9z/rqt0ZC6ebYLLfzfZe6xgbpD/wAB7fjitZNStAii3t1SO6JDTzAO0Uw/iA+6AevTPJ54Fc0XLMSxJJ6k96t2P79ZbRuso3R+zjp+YyPxFdCXMrM7J0+Ze8xl4901y8V27tIjFSGOcGr0F1N4eKSWknl6kcMXXBMA6gf7x7+g49RVqcC206HUJ41OoBREUP8ABx8kjD12jAHsCevPPsxZizHLE5JPes17yt0JilVjytadfP8A4H5m3ceJtR1e6eXVL2RppMbZgAu0gAYwOMYA/n61Uk1O/hlZJnV2HXzIlf8AmKzquW5F2EtZTh84hfrg/wB0+38qpRitkaRo04q0YpfIf/bNz/zztP8AwEi/+Jpy65fJ/qXjhPrFAifyFV7nT7qzu2tbmB0mXqhHNTDSZIkEl/Iloh6K5y5+iDn8Tge9GiCSprRko8RauSMX857Y3VoQaxe6QwvblozeshEMZUBkBGNzFcEcdBnPQ9MZzEu4rceXpkDNK3/LeRdz/wDAV6L9eT7itS28JXTW4v8AXp1022Y53TcySf7qdSf89OaUp23Oar7GK99JJ/e/Kxnw35ur4SR6ej3Dvu3RvJuJ79WOa7HRPD2kR3iXF9FdxwTgpI9uxdoWIxtQBCev8XTGQCTWVNeWml2Zi02EWMbDBuLhQ88o9VTt9Tx6YOah0jxxdaGLmCwiRre8UpcvPl5JMgjdnIwRnjH45pOpUnHlRzV/b16bVFW+dv8ANL8fM7S8Nr4c8Fx2ttatHaTXbNFctccuA3Ad1Tgkqfl44H1o13xBqd/4UjOr+FI59NuMBZrS7DcA8YxkjpXN6r40t5fD+n6NLosL21v82d7bZAQfmXnIOSepPpUml+JtU07T5pvDVyZoIozvsZ8yLEo6lVJyMdepGM89q5eScdZRV7nkfUqqiqk6ac+Zu7b+Wqej230KGmppcV9He6HYf2gIQWls7lj5yjBGRj5XA9hn271nprBm8SZS2itLe4l2NEkSgorcdcZyOv1FVoJ47y8Wa3K2V+DkbTiORvx+6T+X0FdH4g1DRdQFtJpulyK1suLzcSsyvn7wySCvXI9+3Wuz6xUglDoe3Kc4SUGm7p69vXv5Gn451G8j8G6XG2qQSkyPH5EKgNCoAGwkHt36GvNooZLiQJCjO3oorsPEGmpLpSag0jSQrcvv8tDuO5V2kjtkL16Eg4zyBz7x3M0OAqWVpjgO23cPX1c/nV0qdlfceAhCnRtHu+liuYLa3OLiYyuOqQkYHtu6flmnLeyNKsdlDHb7iFGxcsT/ALxyfyphjsk+/cSSH/pnHgfmf8Kt2EtlC0tyttKxgXKl5Ryx4HAX8evatknfsd72C4vhPcyWt1KzQAhEfO7YVGN30OOav6Dr0fhqLUbO+02O8+2R7A7MPk4OGXIIPXNZsbCWPzItGSSPO3cplIz6Z3VeVtNMccGsQiAKflFvKWdB6HOcD2zn2olTVbSTMatOFSHJJaf12Mm8szBKhiJlhmXfE4H3h0xj1B4NWbBW0q+tr64kWJ4ZFkWLOXbBzggdB9cV2GqadbT+FZLzQLSezsLSUedPlWO4gAkZbJBynTjmuI+wmbLWs8dwepUHa/5Hr+GalwUW4p8zX9epNOpGtFxvtoz0S88UQap4q0y6vpBptvPNIZZVBY7fKjwOhxuPB4zz1rktT1NNO8TXEUZXUba3laJJZhh3ToQSMZyMjnNM8QI0N1pdqyskkdsm9G4IY+30C1QurK6vtYuRZ28s++4dV2ITk59q5oSklZvTt0OXC0adOKd7Rta3Tfc6i3v4IvDOq+G7KGI/aP8ASoZbjh8fIcBun3V9u9ZOl3OszaTcaFBC/lZMwAi5Dr83J+g7+1dRqWqWSaRp+l3mmC61K1g2NFZuNu0gD55APTqB0z1rQ8H+JoWW60TVZLe3tpQPLj06GSRoyCPlDjcDwPfqeamnXcLtK1/xOH6zUp0ZVI073d/XpdWvfTXp6mKvhjS7/wAJXNze3wsdUWfzFgLq0R3YBwe+cdATjinXel3Ok6BdSXkRa1ubeAhh919o2tjPOeAefao7PwtNLqgiOl3ElndTfZZLy5kZvIbIxu24C8kdc9a7g6euq+Hb7wxJ5fn6fEYorsghFGFPPPXBx+FY1ajpuLvc5MVinRnH3+ZN3f8AdV1t87abnj1jH9kvJUJ3KpSVG/vAOCD+RrqfDtl9h02V3O15pJGxt/gUZA9s7SfoB61geGkjvtRSzu22xoGUTD+EMMbfxJGPQ/U119t4kSO+Glatbo8TC4mZYTkqp3EDIP8Adz+Yr3sNGEmm3p+vRHv1nJvlRwV4gbw7p0w6iWaI/htb/wBnp1lcqlr5l8m9YztgfHzI/t6gdcH2rXuLu11LwbHZWFisTRX2FcnnDZOc9uAAfpXN3UodwkZzFENqe/qfxPNctZcslZ3ukdcHdamq2h3i+GbnU4yk1o0yjzVcZOM5yDz1Iqt4dvbiw163ntH2SAkZ2g8Y561TF9dLZm0FxILZjkxbjtJ9cU/Tji5dj0WGQ/8AjhA/Wlzx5ouGlvzCzs7k09xJdWVzc3DbpZ7lWZumThif51nVdcY0SE/3rh/0Vf8AGqeKzqNtlImtJVjmKzZ8qQbXx2Hr+HWr0FhJFbTiVlj8xthc9FRcFm/9BA9ap2NhLf3CxRYAJwWPRa0dYu1ubWOK0b9xaYgYgf6zGcOfrzx2x71UFyrmYnq7GddXAl2xwgrBHwinv6k+5p1n+7hupf7sewfVuP5Zqp1reuYtIh8H24jmk/tSWQSSR4O0r8wB6env3pwTk3LsgbtoYVJRRWJQUUUUgCiip7e38zdJKSkKfeb+g96AC3gDqZZ8rCnUjqx9B7024nM8m4gKoGFQdFHoKW4uPOYBRsjUYRAfu/8A16hoAKKKKAAVav8A5XiiH/LOJR+JGT/OmWMSzXkayf6sHc/+6OT+gplxM1xcyzP96Rix9smrWkRdSOigVLbwNcTCNMDuWPRR3JqUmxklpArs0s+RBFy5Hf0Ue5/xqUXDXi3QfABUOqr0XaeAPYAmorq4VlWC3yII+meNx7sfeksOb2ND0kJjP/AuP61UtFZAtyCigggkUVIxKKKKQgooooAKKKKACiiigCeO8njXaJCy/wB1wGH5GnmW1m/1kJgb+9Ecj8j/AI1VooAtCxeX/j0dbjn7q8P/AN8nk/hmnTN9iRraM/vTxK4/9BHt60Z+wR/Kf9Jcckf8sh6fU/pTFvXOBcKs6ekg5/A9RQBWoqyIbaY/uZTEx6LL0/76H9cVFLBLA2JUK+h7H6HvQBHRRRQAUUUUAFFFFABVq2/fxNascEndET2b0/H+eKq0A4ORwaAAggkHgiirVyBcQi6T72dso9G9fx/nVWgAq3a/ubea46Njy0Pu3X9M/nVSrd7+6jhtRx5a7n93br+QwPwoAqUUUUAFFFFABRRRQAUUUUAW1YXqrG5C3A4RycB/Y+/v+dVWUoxVgQRwQR0pKtrIl2gjuCElHCTHv7N/jQBUop0kTwyFJFKsOoNNoAKKKKACiiigAooooA0kIkmhdyBHdR+U7H+Fhxz9PlP41nOjRuUcYZTgg9jVmA+bZzQnqn71PbHB/T+VF4DIsd0BxKMMf9sdf6H8aAKtFFFABRRRQAUUUUAFFFFABTo5GikWRDhlIIPoabT4oJZ2xDGzn/ZGaALUsv2W9MkSqYZhu8s/dKnqv9PwqKeBRGJ7fLQscc9UPof8e9W2tovsA+0TqZLdvmWIhztPTnpwfc/eqKDUVs2P2S2TB4YzfOWHpjoPyz70AVoraaf/AFUTN744H41K1pHEcT3MQP8AdjPmH8xx+tOu/Mmj89JXkhzghjyh9CP696p0AWd9nGeI5Zj/ALbbR+Q5/Wg3zA/uIYYB/sJk/m2T+tVqKAJXuZnGHldh6FjUVFFABRRRQAUUUUAWJ/ls7ZPZnP4nH9Kr1ZvgUuFiPWONVPscAn9SarUAFFFFABRRRQA9JZI/9XIy/wC6cVZt7i7nkEassnr5qhgB6nPSoILdp2OMKijLOeij3qSadVj8i2yIv4mPBkPqfb2oA2Zru1v9LMUUP761X940TFTNH64OeFPbjjntWQI7YsGhuWiYHI8xen4jP8qht7h7adJojhlPfofY+1WL+3jG26tARbzE4BOTG3dT9P5UttDNe67dGW9TsZriNdShRZFkOJzCQwWT1OOm7rz7+lZBGDg1c067FtMySswgmGyTb29GHuDzT7mW4tbp4L1I59p/jGdw7EMOcEcjmhaOw4+6+VmfRVkraS/daSA+j/MPzHP6U2WzmiXftDx/89IzuX8x0/GmWRI7I25GKkdwa2rjxhrN1o1tpk11m3tjmPCAN+J79e9YdHak4p7oznSp1GnOKdti+NXuR95LZ/d7aNj+q1o6Vroa6jgvbO1lt8kgLAFMZx94Yx+XQ/kRz5qzYcXQP91WP5KaOVMHShJWaNC4u7ixkSWCCzMbcxTxwAg/n0PqDVi18Tn7Qsl9BFv3czW8EaOwPUHjnj6Gsi0vXtdylVlhf78T/db/AAPuKlewW4ha401jKijLxNjzI/w/iHuPxxUuK2ZjKlBrlmvmaV/a6j5x+w35uomAZFSTa5VhkfL1PB7ZweKZpdzLAs76nCZYrVNyLLkOrk4Xaeo65xyODxVKIfbdLaMH9/a5dR3aPPzAe4PP0J9KsHUru20WBFmLedIzsH+cEDAAwc+9TbSxDpvl5LLt2/LyOnsdG8IN4k09tP1OW8tzGXnjc7XEmONuVXPPYZP1rEgeG51uS1j8wCGdvsjS/eaPP3G/Dke/Her8PiLTZvDKQnQrUXVkpd7nGzzC2QANuD1bOPRT6Vl2+u2Jlj+12Mh2OGWRZ/mjx6EjJHsSfwqry9ioNd9epxUqVZKXNzO2mrV+uune/wBxhSoY53Q8FWINanh7U57LUBAsjfZ7kGKaHcdrhhjkfjV/xHJp9r4guJI7ATpcYuEaSVtjLIAwwBg45x17Vl/2uY5FezsbO2KnOViLnPrly2PwoTbV0ejf29G3Luuo260mdb0x2kTzxsN8ZRScqf6jofcGt3TtMstD1Gdr2/8AMuobeXdBAudp2EHLZx3+ucZAqHUUv9Va9ggE0ptyLlI0BP7l8HoPTcv5mtbUdK0+TS/tOi3L395e6YqzRRoT5ciGHf05ycNnP9aVVuyb0TOOpWbjGE5Wv2/V9NDkZdSKxmKxjFtGRhipy7/7zf0GB7VQpSCrEMMEHBB7UlaLQ9RRS2ClBKsCDgg5BpKmtIDcXSRAEgnnA7Dk/pQM1pV26bJMg2GaHzHHoxZV/UEt9DSwD7d4VeBj+8tpGkh9xjLL+WT+HvW/F4Nvn8NPqeozwWdvfuFRZsq0JUtjIx3CgfiO+KztGj0hta02zN/IsCT5nZoSDITwcYzgY45HrWMqkWrroefVxNKcHKDvyvon0/qxyqgkgAZJ6Cug0+9uNBTyZZXmM339PD/u2z2kHr/s9fXFSeIodO8O69eWmiM8xVtqTTDJjGOdvAyc55x06etZkH+g2xvZRm4lyLcN29ZP6D357VV1ON+5o5RxFJNr3Xsnv/wPzOk1S7fSdscX+m6XcDdOjgNtJ6LgcDbggEdSGq54fubX7XDaXcrz6PMGZYclmU4P+rOeueCh7Ho3BrkobyWLSY5VIJjmZGVhkOrAHBHcZFbdulwbO1fQwotZImkurd3xj52BJbrwAAMcjj15xlDSxw1cOlT5Xv3/AF8n2fyJ73w/b6vfXB8P6d9pjjdv3cDGK4UZ6tG/B/4AB+FZZt7DQrgec0y6gnISSIMsDe+Dy3t2788V1PhLxHaaZqILTXN5bqjbww/frnps5BZfXv7Cr1p4l0jV7XU01CzS/myTaQyQZcdcZ3Nk844U/gKz9pUg7W0OR4nFUpuEoOUFbrrrprfT12OOtbfTZNcMNzqEn2bUgAztD03EENnPUN1+hFV/EGjaNpWsSWllrJu4kCnzUiDDJGcZDY4rsNT0/wANapYWraXot9bzwHEgVmhIJ9N4ZcZz3HWs3UPC+kpePLcwakolAkAhkhYZYZI69jkZ9q1dT3ubVX6aHRTxi9opSclpt7v3nHbNMXrLcyf7sar/AFqWG/tLORZLSx3yqcq9xKW2kdCAu3n65rpY/D2lkj7HpmoXDelxNEq/oy/zokit9NG5tJigIP3CrSj8wCfykFV7RHWsXTlok2/VfozPF74g8VyMFWaW4VflaCEIpX0O0AD6n8auaZ4LFtdQ3PiW6iiiVw0loh8yWQA5IIXoCO+ce9b3hvxZNZWepNHpt23mRFIpVgCQxNg43MTwMkcsxrkL1xfKxv8AUPNnjGZILQAqw9QeFyO+M+vrU805tpaHPGpiK0500lBLqtW/8vmdBqWv+HdEu5V8L2MULHGJcec68dAWJUc+7VQksdd1fQ5Nfj8m2tEfynnuJv3x6c7m7fN0XHTpXNnUlgXZp9tHbgf8tW+eQ/8AAjwP+AgVC+pXstu0El1M0THLRlyQT9KapNbfibQwTgk4b9XLV26lyfT7ePTpbqW6llkLBYyIyFdup5bkjHfHpWTXTeJ/ElxqWmabpEsMKRafCgVowQWJQdee1cz1Na0721OzDuo4c1Tf9OhbtpkeI210cRk5R+vlt6/Q960PDtldnxbZWkEghmaYDcx+Xb3z6gj8xUmp6Hpthp9nMmro9xMv76FVDGJscg4P86ZYS6eZraO6uZJBFIpjPlYwM8qTnof0rqqUZW5Xv6jqe9Tko9U+g/xVoyaVq1wkDxkRymOVY/uo+M8ex/oRVi2hxpcGr3rGK4hOyMD70687WIHOByPfAH17TXZdM1PVr920zZJHDC6JsAUuSpXcRw2Q/XoKyP7I1Gw0rULp9JmWQIj3U91IVMeWGAoG04C9x347VzxcaUV7Rrm7HlU8X+5gquktN7a3t/X3Fu18TqfDksdtok8l9epiS8jjyYihC7toGAAm3gcc1xk2nSapdyLBEyXy53RDlZSO6HsT/d79uwrub7WR4Iwmi6qt8ZEV5JI0R1QPkbeSTn5QfvdxVGbQ/FN6kNq5iuLmX5oI7tYg8iHsNxOcexz19qzp1Iu936f0zLDVoUm5aRUtU23r8n0SscK2myQf8fssVsc4KO2XHsVXJB+uKuxW0CWMUcSS3LTt5h5EahV4BJ9M59Olb8ujXU91JaeIdDFrdREILiIsPMPZd2WUk/3ug71QurRtQvpLCz03VBHart8qFBIQF4JICjPPf3rphUio8zR6kcVGa/4KsQ/8JGbPRrjSYzG1tM25o7ZdgB4/jOSeg/xrHbUWH/HtBDAv+wmT/wB9Nk/rUxsbTcQZ7iPno9sePyNanh7wgPEGoNaxanDCRGXBeNxn25AH60qmKbXvPRFzr0aMHObslq9GJp/iPUF8OXljNcSzWhkRnhJBAHPIB467eKmsvCz6rKLqGIxWkPz3ThSAidchTyCemOcnp7dinw20/R7ixuftk11BMAtxEYztkUkZGQOPbOO3OcV6WbpNM0+5mY7rSC34hjTc2Bx9c1xrGwb5Hqn16+R8xiM9o05JYWN+e+u2u3bc810Hwnc6rfvrmvB4LR5M2tqyZZSCAmQQSBgeo6elXPD9+2iWc9vpNtBFA75C3LE736Eh8/vG46KMdgT3fp3xA0SK5v11O9NrLLGdjIWkVT2CqoKr6/xc9T2rzDWNT1K4Ys2RAwwJI2L7/q/9OAPQVnGFSq2p6odHC4rGynTxKtDSy6fLv6nQ6trOkWV5cPdQ/b7uRyzQldkUZJz90cE/7xb3HasFvFusTzpFYutrGz4W3towqsT2I7/jxWYl0lxGIb7nH3JgMsnsfUf5FXtB0i5m8RWyKdqxMJzMvI2Kc5B/T610ujGEebc976rRoU2562XXb7j1IxTaP4feO7vZ4ZWujcy2UsY+6CCAMjJGQvfB6VzWtaxeaXoN1c6bOqDVsxSRBQxVfmErZPON7lQf9n6Vp+LNQnlug9xMPPeNQJX4CKoyXwOwOSPViOvFcdbag1w015s3RWvFjE/R8DlSO4x8xHc/Ws6MVJuM9m7/ADPHwOH9pF1Kivd3t08l9/5GahayktbO2UtctKkkuP72RtT8O/ufatrTbaTVfiBfRW6qDsnVBngDaVH86yIHFtc/20oEqb8qrNyJCeVP4ZIP0ronvJL/AMcrJFAtq0s0FuojOM55J/z7V7GHgoxXM+t/U+gafzt+JjJay6Z4d1aGfb5wuEjG05xjcGP9PzrnK3Em+02WpAMWUBVUk9doY5/HBP41hdq5qlrK39anRHqFWrX5bW6f/YC/mR/hVYVpx2Mn9jK7FYUmlLM8hwNqjAx3PJPAz0qKabdxyaRcvtXil8H2GmizjSVHZzMOSwzjP4n+VZcVmFiE14xiiP3VH33+g9PfpVq9ngs5Eht4xLLDGE82QcKepwvrknrVSBDdzPNdSMY0G6V85J9h7mtZu8rPVrT7iY7Fl7kx2JdVEKyApBED0HRnPqe2fr6VUtHXzjFKQI5hsYn+H0P4Go7mc3M5cgKOiqOigdBUQrGcuZlRVixDaPLei2OEbcQxbooHUn6daS8mWe6Zk4QYVAeyjgVfmXytKS8P+tuh5RHdQvVv+BcY+jVkmh6RsAGiiioGFFFT29v5gMkp2Qr958foPU0AFvb+bl5G2Qp998foPU0XFx5uEQbIU+4np7n3ouLjzcIi7Ik4RAenufU+9QUAFFFFABRRT4YXnmSKIZdyABRuBZhHkabLMeGmPlR/Tqx/kPx9qp1avpUaVYoW3RQrsUj+L1P4nNQRxtK4SNSzMcBQMk1ct7ISCKJ5pVjiUs7HAA71ZnlS3hNrbsrZ/wBbKv8AGfQf7I/X8qWV0so2ghZXmbiWVTkAf3VPp6nv2460qfw6dQ3CgEhgVOCDkGiioGbz6Ot3I1yr7RMTIFHbPOKKpxal5cKJk/KoFFIDNooooAKKKKACiiigAooooAKtwqLWIXEgy7f6pT/6ER6env8ASmW8KlWnnyIk7Dq59BUU0zzymSQ5J7dgPQUANZizFmOSTkk96SiigAqWK5lhGFbKd0YZU/hUVFAFo/ZZzkf6M57csn+I/Wop7aW3P7xeD0ZTlW+hHBqKpYbmWDIjb5T1UjKn6igCKire22uT8h+zyn+FjlCfY9R+P51XlgkgbbKhU+/f6etADKKKKACiiigCa1nEMvzrujYbXX1H+PcUlxCYJtucqRuRv7wPQ1FVuD/SofsrH94vMJPr3X8f5/WgBljEst0DJ/q4wZH+g5x+PT8ailkM0ryP95iSasKDDprsww0z7B9FwT+uKqUAFFFFABRRRQAUUUUAFFFFABRRRQBZjuFkiEN0CUH3XA+ZP8R7VHPbvAwzhkblXXowqKpoLloQVKiSJvvRt0P+B96AIaKsvarKhksyXUcsh+8n+I9xVagAooooAKKKKAJbab7PcpIV3KD8y/3h3H4irQhw9xZAlt3zxH1I5H5iqFXHYvaQ3MbESwsI2I6jup/mPwoAp0VZvUBZbhBhJhuGOgPcfn/MVWoAKKKKACiipYLaScnYAFH3nY4VfqaAIqmhtZZwWACoPvSOcKPx/p1qQPbWx+RRcSf3mGEH0Hf8fyqGWeSc5lctjoOw+goAmBtIG6G5YeuVT/E/pUct1LKNrNtT+4g2qPwFQig0AWbDDXHknpMDHz6np+uKrEYJB4ozjBHWrN/81x5v/PZRJ+J6/rmgCOCdreTcuCCMMrdGHoakmgR4zPa5MY+8hOTH/iPeq1PhleGQPGcEfrQAyirUkSXCmW1XawGXhH8PuPUfqKq0AFFFFABRRRQAVc0l0j1i0aWISp5q5Q9G5qnVix/4/EP90FvyBNAE+tX0Wo6xPdW8IgjkbIQVQoooAKKKUKWYBRknoB3oASrENtuj86ZvLhBxu7sfQDv/AEp/kxWhBuhvl6+SDwP94/0qCWaSeTdK2T0HGAB6AdqAHz3HmKI4l8uFfupnOfc+pqCiigAq3ZXYgLxTgvbS8SJ/Jh7j/wCt3qpRRa4mk1Zli8tDaygbhJG43RyL0dfX/wCt2qzFjULLyG/4+bdSYj/fTqV+o6j8R6VHaXaCFrS8Ba2Y5BA+aJv7y/1Hf64IZPBNp1yjK4PR4pUPDDsQf8kdDU6mbu9Hv0K2KWOWSJt0Tsh9QcVevI1uoDqFugUEgTxqOEc9wOwPP0OR6Vn007lxlzItG5inGLqEbv8AnrH8rfiOh/Q+9IbTehe1cTAdVHDD/gPf8M1WoBKsCpII6EUyhSMdasWX+slPpC//AKCaBdiVdt5H5npIOHH49/xqzb2n+i3k1s/mosOMAYZcuo5H0zyOKAM006OR4pA8bFWU5BBwRTaKANW31KB5o5bpPKuEP+viXh/Z17/UYPrmul8e+F7PStN0m+0eSWW1uIejc7M/OD0GM7u/NcNXZi31fS5tQ12FWXTrZ/s4G4FZCuEVWX06c4qPZSlNcnQ83EwlCrCpCVrX06S7L/I5q7BtLOKzPEjETSjPQkfKPwB/WqNdBJe6PrEpa9tJ7O6cktLajeHJ9UOP0P50h8ORLhjduxPKwNF5UjDtjeQD9Bk1bn3R0RrqCtNNM0PFWj3Nh4R8N3N4gWSSB1BBzlCd65/B65Cu/knttT8E6hb6tFeJfWJU2UMhbEahcd+vAYngdPoK4AisaLdmn0ZjgJTcJQnum/x10+86fTvEl7os1vqFmygXFuLW5JQHITjA9DtC07w94kuvCGuXABUrJ8pfaGwCQdwz2IA6e1c/aXpt1eKWNZoJPvxt/MHsR6/zHFaM8NlqGmxzxXMkb2+In85M/Kfu5K+nTOPStn79P2ctgrYelLmjUjdS0f6fdsPvfDd7Oz3mmFdSt5WL77Y72XPPzIPmX8RVeDwvrVw2E06dR3aRdij8WwKl0jw+2ranBaWeo2u6Z9u7cy498EAn8Kfqnhi907UprN7uylMLbS/2yNc/gzAj8qy5rPlvqWqqUvYqa5rX1XT71+gNoNrYgHVdTt1P/PO3cSN9OM4P1GKu2viCz0JY59LsEdywx5uRuCnJJIO45OO4HB4rJg0KSa4WH7Zah2PARzJ/6ADV+90SCB0l1O9+zRYAijEZ3FR046jPXkDOark5t9fyFP2b92rJyv0t+iE8R+JLvxNM97LGId8iKkERO1Sq4yB6knP41t2fhrULXS7nWLS1WS6jj3zLvUGA456kfXjn+Ed6opcaVpGjJJa20sk87t5LvjzFGAN4zkD24z71qeEri9FvqMa27W0F1CziW5nbfM6kEgDID/KGBwp68+hicbQtGySOOs5RoclCKjFdH17ruczp8aaja51I/wCqbFuzHmZuvlZ9Pft+NZkou9SviBE8kzHaI0UnHYADsB0rtZLnTzdQtdG2iuIxmOwggRVbB4G5gSpPo2CfbIrZbxfb6ppy/Z7KPSbxWKuqp88pHXABXOM9Dn6GhSs9F/wBSxlWErwp3v8AJL9WvQ4/+w007R4xrMyRM0hk8nzBnGMDOMn16A/UVHHqVhcqlpLJIqo++3EQEMcbemeTg+p596vXk9wl0ZLl455X5Jvndc/Rdqn+dEiuYc3P9iWqtyAbR2kb6KQWx79Per5abV3L8C1KTjeprft+i3DV/Gj3lvbWF7pENq9mNoljUGQYAGfmB9P/AK9TeHde0z+0v+KhunvLQocJIhSQOcfxKenXqa3fDN74cutA1C21tbW4miQ+QVtSrkYPC7s5PoP0p3h7w9pOpa9CbMTiKF1kkS405F+UHP3sCplToKNub8HoebUrYeFKpTlTlFR6r79G9jn4ba4l1CWOxv0EF1uVLea4jlUZ5XkM3Q464qre2eqrZ232nQY7l4d8LbbdtoAbI5jIH8R/Kuh8U/2MPE9ybXYzLtKxRwwR8bRypdfmz7VR1DUraxswyfb7RZJN4UbUyWHOQqjuMfhWkopRutUn2/4J00sROcIThHezs1bp3vf8DCFlqTj914SVfQiCc/zcip47DXolD77PTQehDRo3/jvzfnS3Wq6RqUGy7Zt//PUyMhH4KhU/ln3po8M6deQq9jqIDN0RnRyfwVt35qKjmgt0dsqj5f3it6pv9f0NOO78QroM+kjXdKkgnfexkul35yDjcfXA61VXwz4jjsUv30G2voWbaktsys2RnkeU3PQ8kEUzxH4Cm0eG2k0+6TURMmWEeAVPHAGTu/CszTPFfiDw9shsr+e3SInEDjKjJ5+Vhj1opezk01t1sY017Snz4Jxd3d3TXl01T+RHd22nS75VFzYyKxWWGRQ/lt+hx+HFVW0mcx+bamO7j6kwNkj6r94fUjFa39qRaqZryazQ3OC1ysJ2F17sB0I7kYyOoIHSg+mxsyTaVdhg3zIspEbjHbJOCR6Zyew5rXlu/dZ6MJytro/vX3lfVwRqT5GMqhH0KA1Hp6K10ZZP9XAplb3x0H4nA/GtfVbl0W0/tS187zrYbtw2SIVJThv+Ad8jmoF09JdKdtNkMjzP/qXwsm1euB/FyR0546cUqenxdB052ppMx3dpHLMcsxyT61owQtayJDFg3suOf+eKn+uPyHv0ht0FpGbqZPnBKxI397+8R7fzxToH8m0kuJCS9w3lg9yvVv6D8TW0dNWbPyPQ9F8atpKmDyldfs8EMEzrlgCvQ+2RnPOM9COKwvE3iTXb5LiG9u3CXdw0QjTAUxoRjgdQS3XvirWsXek3uqWP9iWTWwjNr5wbncQMjuf4cCq+gDS7nUNHtfEckkdmLR5UkQEsJBNIfQ8ccjHauBck7zktT56nRoRbxTp+9vtd6K+hWutEvZNHvtXSMfYTdJCH3gEFTt6de4qle6xq9/4kVmv5hNaOyQy7sGFATkgjsBmpb+S6TS3tLC5mnsYrp5lAbIkQkbWx7EHPHBNV7yxuQ15Lb20r/aXUoVQnKt8x/pWtONpe+ehRirt1bdbeS0Wt+tty+uvXup35vVvJT9mBlkilIbftGd2D13HAPpn06aOi+MtUtbPzke3/ALRuQUt3kjADIuODjAyTwD65z2rn9O0TWvssj2mm3hlkdUVkhbjuecfSvQ/B3h+4DrLJpSTXMcLo8cw2x7Sd3yAg85z1wOeMiniXTcFe1zlzCWEp0feSdumhgXnjbU9Sgt3udNsLKOEFTJJGxMh/2Vzknj6D1FdVomp6xrEVpIbO0tLPTyHnldQGZRn7wJO3gdOT34yKpxeEpTqUMutRLa3UrhSTIHkmBYAY2njHfb2wSetGq69NoXiw6Lp9hcXtlboGvI7ZMl1K5AwOg5GT3z26V5suWfuwWp4dX6vXSo4WCuk35W62fV66foHiTx3LPDOqSPZ2J+VUjwZ5mB6A/wAGe+ckDHAzzxIvtW1K5V711stPdTGUdvLTYwIJAPzORnOeTVTXfEX2zVJW0q3WxtVbEUYT51X6nJH4cVhvI8kheRmZj1Zjk120KKp2aR9BgMup4ekuWCX4v/h/PUvPFp9pKVmM106NhlX92uR7nJ/QVu6n4ss9aks4ItNi0tI4/KMsJywbjDHGMjjkHNYNzay3c8c1um8XCByR0UjhsnoORnnsRTPs9rC2Jpmmf+5B0z6bj/QGul0ve5r7dTvlRhNqcrtr9fwJWPmXLWt1YiSdX2lrf5HJzjGBlT+X416N4a0230bS2WWVohIxLTSqP3bdPl5xweB/ebnotangPTntbgam9rFHM0KrcR7dzRjsc9SxAUkDp6c1zXj3XAniCWS12iZ1UW0aoVKDaB5jA/xY4UdhzgE5PM8Qpz9na54VTGPG4h4SC0Su35lvxT4au7yFZlvLWNXCrOfMyIkUcID3UYJJ7n6Vxt1asZ4vs0d75VuAIfLg6Y5J69SeauamlxFptvpciyLNNCr+YwIDMP8AlkD36Z/3q5+xURu1xKuUt8NtP8Tdh+fX2Br0nGmpLljb5ns4alyQ30Wx0U9lCiRW/wBluxb3BzKVj/1cpx2x2GPzNX9Pt5k8UW7zQ3mIrpIoywG0ZIyQcc8DH4iuOtr1vOcXLM8Ux/ec8g5+8PcGuqf9x4y0l9ofyLmOOQdmYkYf8uP+AV0RqRnsuqN3FxKljplvGlzHJcrHvYpy6PyUcDhCT3qB9D0OPRI7z+3EkmL7WgC4PXjjkj8qfPfi98SXNy0Swg30WUToACRXNOCkjKeoJBqalSEfsp7/AJjjFvqarQzxKP7PtISD0kjcTP8Aj/d/IUTkyapuut0kdmgDBz94r2/FjVTTiYZHvOhtxuT/AHz938jz+FaMc1wtmsczq6viSdpxuVV/hX1yevHPI9KyjaSKejMqKKS+uXZmAJJeSRzwo6kmlurhWVYLfKwR9Mjlz/eP+eKuXF1Y3EfkW6vZxZycfMHPqe4+mTVOexmhQSYEkR6Sxncv/wBY+xwaykrLTUr1K1T2tuJ5CZG2RIN0jeg9vc9KjjjaaRY4lLuxwqgck1ZupFhiFnAVKqcyOP8Alo319B2/E96hLqxvsSRzG+uJYdoUTACJf7pH3R/T8azyMUqsVYMpwQcgjtVi9GZVmX7sy7/x7/qDUt33GVqKM1ZigWOMT3eQh+4gPzSf4D3/ACpAJBbBozNcEpCDjI6sfQf54ptxcGdgAAka8Ig6KP8AH3pJ53nk3NgAcKo6KPQVFQAUUUUAFFFFABV2MfY7PzjxNOpWMf3V6Fvx6D8aZaW6MrXFwD9njI3YOC57KPelCzaldM3yr3JPCxr/AEArWKsrrcRXiieeVY4lLMxwAKtPLHZRtDbEPM3EkwPA/wBlfb1Pft7pLcxwxGCy+6eJJiPmk9vYe351TpXUdtw3FooFJUDDNGaKKQBmiiigYUUUUCCiiigAooooAKlt4DcTBRgADLMeigdTUagswCjJPQCrNwRbRfZY2y2czMO5/u/QfzoAZcziQqkQ2wxjCL/Mn3NQUUUAFFFFABRRRQAUUUUAFTw3TxrscCWLvG/T8O4/CoKKALX2VLhS1kxZgMmFvvD6ev8AOqpGOtKDg5HBHSrIuI5wFvM57TKPmH19f50AVaKmntnhCtw8bfdkXkH/AAPsahoAKVc7ht654xSVa09F+1ebJzHADKw9cdB+JwPxoAtar+/2sh5t1Ecq/wC11LD6kmsuporlo7gyt8+7O8Ho4PUGi5g8lgUO6KQbkb1H+IoAhooooAKKKKACiiigAooooAKKKKACiiigBUdo2DIxVh0IPSrJlhuv9eBDL/z0UcN9R6+4/KqtFAEs9vJbtiQcH7rDlW+hqKpYbmSHIGGQ/eRhlT+FS+Xb3B/cN5Ln+CRvl/Bu34/nQBVop8sMkL7ZUKn3FMoAKs2OJJWt2OBONgJ7N/D+tVqBwaALdsDKr2bcMxzGD2f0/Hp+VVDwatXmZGS6XpKMk+jjr/Q/jRdD7RELtcZJ2ygdm9fx/nmgCrSojSOFjUsx4AUZJqaG1aRDJIwjiXq7dz6AdzTpLoInlWgMaH7zH7z/AFPb6CgBwigtTm5xNIP+WSt8o9mI/kPzqGa4kn4c4UdEUYUfQVFRQAUUGigAooooAKtOPN01Hz80L7D9G5H6hqq1ZtPnWeL+/GSPqOf6UAVqKKKAFR2jcMjFWByCD0q3tS+/1YCXPdegkPt6H2qnRQAEFWIYYI6iirQlS7ULcttlH3ZsdfZv8f51BLBJBIUlXa31zn3B7igBlFFFABViz4Mzf3YW/Xj+tV6s2wxa3bdvLC/iWB/oaAK1FTQWss+di4UfedjhV+pqXdbWvKD7RJ2ZhhB+Hf8AH8qAI4bR5EMjkRRDq7dPoPU09rlIV2Walc/elb7zf4D6VBLNJO26Vyx9+1MoAKBRRQAGig0UAFFFOEUhXcEYj1AoAbVy0vRHE1vdJ51s3Ve6H+8p7H+dU8YoFFricVJWZpLG+myLcwn7TZygqxAwGHdWHY//AFiKr3tqsBWSBjJbyjMbkYPuD7imW13LaOTEQVbh0YZVx6Ed61rIW17vgtwVSbl7Rjkqf70ZPUj0PJHHNQ7rUwk5U3zMwqMVoz6JqENyYltpZeMq0aEhh6//AFuo6GkGjXmPnEMXqJbiNCPwLA1ootq6NVUg+pn1bt3aKwuJI2KtvjTIODj5j/7KKedPjQ4k1C1U+gLN+qg1P9ktk03H9oRHfNkkI/Zfp/tVXKw54/0mVDPFcri5XZJ2mQdf94d/r/Oo5rZ4MFsMjfddTlW/z6dan+y2ne/X8Imq3p9kHkZYL+IxgbpRJG+3Hvx/9emoN6Il1YpXf5P/ACKNlZSXsxVAQiDfI+MhF9f89667VNQmbWJdHWYtDPc4jtGP7tCWyHcd25zj8+mKuaTf2/hm6b+x5bOWdoyr21wWBAJB3Zxy3A+X+EZzk5NZ+oaTcNf+fA1ubm6gjd3M6Awr5a72Ckgkk55x0+tdEYcluXV9TzKlV1avvq0Uvdv3726W/rzsXdtc+EvEdrMZLe+ubRf3exPllkfOFwMcAYPt+NUbvWPNn1C/ljguLsXKTvxuijJOCqA9ewzz049aVtH1a4kWz0rTpWnZCqDgeVGBz8xONzdTz3wPSs6/0LU9G8OiXULRoUurgBSSD9wMCOD6k/lWs5VEnyppbipxotrnknN2XRN6327bnTWXjhr7xFHqz2cYgSPyLmyz+72nID8jpkgH/wCvWFrF3EfEcrS6VZvb3ExaJQDGUUt935SBkdDkHpXP2tw1rcLKo3DoynoynqPyrozFFqdqLct5hZd0En8RA46d2HRh3ADDpz5tVc0nVe73/wAzT6tTw1TmgrK1ibxbHo8l7HJp+jzWEKptkMEiOpf8CQD7ZB9qxrOXTLec5muRFIpSRWiB3A/Rvx+oFeiy+F1m8Npp9yY9L1+2i3rJ5qM96oBA5BzjJA59BXDXTwaZIYdcsIrq6X/nl+7x9WXh/qAfrWNCXMtOhhgsRTq03Sjd203u35q97rzv+JAdChFy6LdyKiYbzmiwm08g7t2OQaaE0S3kLTXVxfuDxiLah+vOT+lbGi/2D4kvI7DW7+5skRWMLBVCg9kGAR79B39axk0i0ub6aOyvdyRMeJl2FgDgAHpk++K3cknpc64VXKbp1G00u2n32/4YsyalawWWEe5QXAwI4kSIBM+2evqeePetO58WjXNNs7e+0u2+w6TEFUyO5ZuAqr8pUEnA7dAT2rl/s15qGoGJIGM2cbMY2AcY56AVvzpYeH7OKK4UXVymWKfwmTPLe4HQE9eSBzkZVLSavqwr06KcbK8un+f/AASWN7y405dR1WZbK1MhKrGixtIAAABgZx2//Vmqlvr0k+rILUGMbHXzD9/G08D+6PYc+pNZeo6hcajaxzXUhZjIwA6BRgcAdqbpo8mO5vH4WOJo1z/E7gqB+AJP4Ucitdmn1dKPNNa/l/mQ30YEwmj+5MN49j3H4HNdX4ms9Ji8GaNcRXzz61H+6uoieE6tg8dRkDr7dqj0jwtb3/gmXVrjU44porjbDbYBZslVJPOcc56djUXirRrjw5dCLU1VmnumuEVXDbo/fHStYVItuPkYVK1OrXhCMrOLeney1XpqWLvWdZ8RQ202rXSWsUEOEMSbSU/vE9s9B3PYGrqa14b8Krp2qeHiNS1Eo4uBcFvlYrgkkgepHGPrWT431iDVpNPmsLFbGCW2DmJQOWDMgJI68KMVyma540lKKvouxFHBQrUo8y5I6+6tvR23+839Q8Vz39xLMbK1iaVy52mQ4yc9CxH6Uyx8YaxphkOnzx2xlXa5jt4xuHp0rDzRWvs4WtY9D6tR5eTlVjQfWbqRizrbuT1LW0Z/9lrZTxBfjwmvy2rJHclNjWsZXBXOMbfUH86g8MeFxr11tvL+DTYTGWSWd1G8g4wASCfr7Vtv4TS28OWbf2ilxHfSSRokMZZi2flOM8cp19DQqkIy5Tjr18LGapS3uuj8/wDIwI9W0y4A+1aRaRSYwXQSbSfXaHBB+hx7VHcQWaIJ2sXMLdJbS4yn4hlJB9jg1qS+D7CDwvNq0msIZEfYtrGFdy3bOG4rBs7LVV/eWVrckd2SMkH69qqM4Tua0p0ppulLZ21vuXLPUza/8eeq3dsP7kib1P15wfyroLCe71/FvNpFlrnGd9rIIpgB6rx+YUfWs3TvCl/4ku/s9vYGzu9hcsQVifHqP4Sfy9hVW2sfEnhnVGktI57O4UFDIuACM88ngjispxjrytXOeqqM+aNNr2i7/wCa1NbTfCMepSXt5oN81vJp/LWt4oEmQDlcg4PTFYGoW/8AZ+oSW1zE8VvOBIqsCDGT359DkH6GtG3guby9hjvZ4BqE06CGWF1d8lgDv2HGMEnnn8K6f4i2GmQ6TY6dZ7rnU7NljaVcnKtuOzOfocdgaz53Gok3e5lHEzoYmNKcubm8tl3v1V/zMTUtdtf+EL0zTjpcck1vK8byyc+YAAeGGCM7ux7VkXdit5cJFprHbbKEaJj80fdmz3GSTntUsax3L22mq29rFWlZs5Dt951H4KoHqR71W0uO/dpbuwhkkuZH2KVXgA8sSewxwc8YJrupWUfe6ndTpRowbhpdt6+bG3GqR38ghvkaSKMBIZVH7xAP/Qs9SD36EVJqOk3TzRR2SfabeJPLSSLkAjlt3905J6/yratPCsC+IRBvhuZuJvs0cu5VXAPJXOcZ6ZH1rLn1NYryXz7yUgsQ9vHbqsZ55BXOKiV0m0t2TGqpW9ibvh65j0q/t9RLwXVzFGEe3U71MiqVA3A4yUPGCcsMUybW9Nk8XI2oaaY4HuhKk5JYxozZIVQACPbBwSaxYPsI33Wkfayw5ktwVyq59Dncv8v1rrNO8WW+i2jSa3oTeaCDarcD5y4PUA4wAe4A5rhnGz5krs83EU5Rk5wg5Nq1r2fy9PyGw6fHe+KG07wxqzLBN9y3mtWiyNuWOVVcd+eD9e+5bXl14SiuYtS1e2voFd0lHktI8eVXGSoxn6/lWPca7f8AjS+tDe3E2kWaHDSQxlMqTyc7ifx+6O9bem3lnpmn3ukaPdjVPtBDo1yTulAA3HcflKjp0A4PJpRcmuSev9d7HlV/auChWV3ZXWj678/La/kaNg9jb/DeaW6uoYbW4VnWTy9j7j0yDncTheAv4YrhJvG1xomg/wBk2qoGL+apUeW4JOcsFIA7fL1459Kv+PILm0u4nedJJJVxA8KH7PABgY44D/7Xbjp1rza4hmgmK3Csrnklu/vnv9a1hh07z3R35dl9GrF1Kj5lJ81vTQ6nSvFWqahrtpdahqMwntAX+0k7gI1yzBlPB4zjvz34rTbxRrOm6pd+IBLG8V5ENpEaspbcAUzjjABPB9KxtUvdIh8I2NhY2TRak6K1xc/89FJJx19cflWtdaTa6TY2el2GpwXS30ZmuWYqVglAG0PycDkj15+lVaE3Zx1enyOqpToSkr07XvG1vsrV7beRzeoCwk1BlNpJCZCHja3YsGVuQdrZOfxoXRrdWOy6jupl5+yhvLf6Eng/RST9KtzT202lvBbbrOa0cq0jgn5GPKjuoDZ45PzdawprG4h+fZvQ9JIzvU/iP5V1KHKtNT1KadrJ2sXJpbmaxntZo2h8lhIsIUqFHQjH4jrzxXQ+DNHtLXUlvdYjMkcBBkQDOwkcL2+Y8f7o647VvDstzb6na2UgW7uLg7DFLyLdCMFs9Q2OeOn16dPqml2sUI0i2me3gtlL3e4/PITyUVjwzHgfj3ziuavUcopM8zG4l/wNubquxnaj4ufTNSn1LRJpIbVmZLSJmz5+P4mH9wEnA7nPXmue1XV7q6vX1nUmQ6ndqPLCrjylAwHx2JA4/P0qCfc10b6/ttqglLazIPRegI67R39Tn3rJmmknnaWZt0jHJNEKUY62OrDYOjB80Y62s31t2v18zY1fWb3UdL0m3ncMsMRKbVwc7yvb2UVDrH+oh8rbtJPn4/57d/wxjH40qEW+jW14ceYpkjhHfOQd34Z/MiqdnmdZrY8tIu5Pdl5H5jI/GvRlJv4nq0vyO5JLboMsEVrxGlGY4/3jj1A5x+JwPxro9GvPO8WtaXbDY93vRz/A6tu49jjGPeuegUpZs3eWQRr745P9PzrQ03cfG0Lohfbe7sAZzh6VGTjJPzCaumJdRyW15qIdcFbhXHuN5wazb1MancIoziZgAPqa6K6jjSbU4tQlCQly8aIQ0kfzenYc9CRTL0tptzLdWsCr5rn7PLne8jHv7Yz04OfWtalK6JjIr/YIrWBYr59scK+dNGhy7uein+6O3PPU4rLvtQmv5meQKiZysSDCr9BTr1/Kj+yKdzK26Z85Lv8AX0H881T7Vz1JfZiXFdWJUkM8sD7oXZCePlPWo6vKBpqCR8G7YZRMf6of3j7+g7dazine5bLjvbRRbJAttfSrh5EHyID6gdGI6449utZdxbSW0myVccZBByGHqD3FRMxZizEkk5JNTwXbRL5Uq+bAesbHp7g9j7/zqnJS0ZKVivVqImaxkhPJiPmJ9Dww/l+VOexMqiSx3TxscbQPmQ+hH9elS21xHpVyrKBNKDhyDlVHcD1OO/5Vm009SiFYkswHuVDykZWE9vdv8KryyvNIXkbcx7066jMV1IjNu+bhj/EOxq9rWnWenm2+w36Xnmx732Y+Q+nBpAZlFFFABRRRigAqxa2vnbpJG8uGP7746ew9T7VLZ6c8+2SUMsbHChR8z/Qf16CrFxcQQsFwkpj4SFTmOM+pP8Z/T8OK1jDrIV+wx4xPGskubazj4iXqzfQdye56fpVa4u/MTyoV8qAdEB6+5Pc1FNPJPIXlYsx7ntUdKU+wWDNFFFZjFFIaKDTAKKKKQBRRRQAUUUUAFFFFABRRU1tCJGZ5OIoxuc+3oPc0ASRf6JALhh+8kBEWew7t/Qf/AFqq9etSXEzXExdhjsAOijsKjoAKKKKACiiigAooooAKKKKACiiigAooooAlhuJIMhCCrfeRhkN9RUpt0uQXs8hgMtCTkj/d9R+tVaUMQwIOCOhFACdKtL+70t27zSbB9FwT+pFL5sV2oE+I5uglxw3+9/jT9Uje3mitJF2/Z4wv1J+Yn35NAFGrNs6upt52xG5yrf3G9fp61WooAdJG0UrRyDDKcEU2ra/6dCE4NxEPl/21Hb6j+X0FVKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCeK8liUIcSR/885Bkf8A1vwp5W0nOUc2zH+F8sv5jmqtFAE01pNAAXXKHo6ncp+hHFQ1JFPLAcxOy564PWp0mS6YRy2oZ2OA0A2sfw6H8hQAlrmaGW27kb0H+0P8Rn9KntfKsXDXw3rIMNbjqR6n0+nX6VKiW9kwNjdq14pyGf5RH/unpn3zVfUrSaOfz2jbZN84YfMuT1AI4PNAEN6ZfPxK+8YGwgYXb2wO1V6tw/6XCLU4Mi/6k9z/ALP49vf61UIIOCMGgAooooAKKKKACiiigAqW1lEF3FIwyqsNw9R3H5VFRQBJcRG3uZYSc+W5XPrg1HVm9+aSOX/npGpP1xj+lVqACiiigAqxFcjy/JuR5kXb+8h9R/hVfGasR2NxIu7y9if35CEX8zigBJ7ZolEiHzIm6OB+h9D7VBV6ForRsmfzc8NGi/K3sc/4VKZI5VJ0qJYXAJaM/M/4Mev4YP1oAqR2Urp5j4ij/vyHAP07n8KuRNbW+k3DIv2hvOjGZBhej9h16VmySPIxaRmZu5JzVjONJx/en/kv/wBegCKa5ln/ANa+QOgAwB9AKioooAKKKKACirFtYXN3kwxHYPvOxCqv1Y8Cpja2UBxPd+aR2gXI/M4qlFkuaTsUcU4IzfdBP0FXft1vCuLWxj/66XBMjflwv6U6G61O7fZbF/pCoUAfhjFUoolyla6X3kMWmX0y5hs53HqsZrvPCzaxp/hO/aDTUuFBEUqyyKpjQhjvBJwCM/yripo4kc/2jevPIOqQtv8A/Hjx+Wa2tC1mddO1PT9OBtYHg3YDEszZAyT+I6AV04eUac7nn46E6tGySeq3vbcW88KXl7bi5hNvuzgSm4jVZR7/ADYDDv6jn65x8O+T/rLhLg5xttGWT9c1StNVnguC8zvKjffVmyfYj0I7VY1ewURJqNlhrSY4JUcI/cY7fT+fWofJJcyRrFVYSUJS0e2n4bky2U0UiwwaDM8kjBVNzuY59gNo/PNQag+raXcm2vIWsZAMmMRCP8eBVC0vLixuEntJmilQ7lZT0NXL3xFqmo3RuL66M8jAA71UggDHTGKjmhy9UzZwqc+ycfO97/iWbfXDexLZa+8tzbc+XJu/eQse4PceoOfzqG60ORJnjtJVnZeRHkB2HYqOjj/dzUIv7eZcXdjCSf8AlpATG35fd/Srdu2nXMAtZrpolzmJ5k5hP1Gcj2x78Vg4u90yXH2WsFZdun3GM6NG211ZWHUEYIqeXixtx6sx/kK0rtdT0xlTUbeO7gblHkHmJIPVZFOcfQ0k0VhdtawxCe2lZBhMCRcsSevB7j1o1W6NlU0u9vIzLW1e7m8tOMDLMeijuTWtc3EWlWywW6nzSAy7uoP99h646DsOetXv7O/s+wxYT293Iw3ACQIXb+9tbBYDsBnJ5rJtNB1XU9U+zJZ3Lztl3/dsWA7tjvW11BWW5g6kKnvSdoohs1EKHULjLbWxEp/jfrk+w6n8BXSzTKNDt59TcC6BKvITkuxO9Uf2G7cT9AeemNEhuL5n8ny4bQiKGF+pfOFB9ycsfofYU+a4S9hutPRy4iHnROeski53n8QWP/AVFF+WPMRUXPJeW/p/X9aFGHUNS0jUmure4lt7ps5lRuWB757g1oal4g1W50ywE95JPEEbIkww37mznPsRWTDcgR+TcLvi7eqH1H+FSLLPYL8hSa2l5wy7kf6jsf1ojUkk43dmdFShCUlPlTa8v1FGoRScXdhbv/tRjymH028fpWnpH2KWOQedPaQJ84mkAYQP/CVIwST0xjkZ9MirBDp11E1xc201rGpwTFLkMf7qqwJ/HPFWJLNdTAFpHdw20f3VNv8AInuTnr7mndJXlZmNTlacdV5/1c6XUZb3U/8AUXIe6hAxMkm53GPvbTz5Z64AwM55HTMkY3weG4gSO6h/1trOOG/2geo/3h+ORzV2Tw3p1rpdgYfEdtNeMNyLE6s8DdSvyk5HPTg56Z5B2p9IbT/DUmq6pGPPhYeXBcjcRyBvUKd205Jxu4xx6VjXpcmttPLVK54vt6VLljHvZaWf/BX5fnwth4ck1fWI7DTHeG6d8CG5Ugqf94DB+vFbGseHzZSfY9SDG/jP71bdSEuXA/vkY3AccdT7mty61jRJPDlpFdqbDV5WylzCzLCq8gMhBIHGBgjg5zg81k2fg7W/tr3NlKb6eYF4f34XzD/fYk4I9OefpWMZzSbex0/W56yqvkttfr/292/q5Wg1OWwsJbrVbeLdGq/ZbQqQUYn5Sx+8eASAxPQeozz0tzp13OZbiK8DyHLuZ1bn1+7/AFrZ1TVr7T2TTdZjF1Mnzzu4BdXbnAbkHAwOQec1nHULSTkGFPZ7FMj8Vpxpp6o66EbJztv1T0saXiFfCkUNqdC+23MWCZFZ9u1+OMlc1h4utXuIre0thHGD8kUQO1fUknJPuSa6zQvEtrpej3VuumRai92xRfLtQpQ7euCDnr6VrSwXl/8ADVBGsGmLBcYkSLAmZcnhsYA5bPOOlOKjBNVHbt1uc0sTLDWhJN6pJyffrb8DjpBBY6hbI5MgtwEjt4jlnJPJYjpkk8dcYHFdT4t8I6xrPibSYDNE095aDYrufk2JubPoMk4rnbaG1tlb7Iu4J/rZt3X2MnYeyAk+pqe7u5EtYr17iS3bHlGYArI6AfKsa/wrjjJ6gfUVEpN25NDSaqSnGVN6pNarv/V/MXxt4e1HS7Wxub2ONIQGtotrg/KhOP071x1aGqazeaq4FzPI0KH91EzkiMYxx+XWs+rpqSjaR34WFWFJRqtN+QVa0+1W4nZpTiCFTJKfRR2+pJAHuaq1o3CGzsY7Mf66YiWYD+Efwr+Rz+I7iqfY2m+i6lW7uXu7lpZO/AHZR2A9hXS30JsUgto5DFHbW0T3MwHILAP5Q9TuY/16VFongvVr3ULB7q1NtZ3DhhNOyopXqcZPPHaur8TXttYaTqOhardo4a9M0jWkBZhuw6rksB0x0HauedRKSjHU8rEYun7WFGl73dLor2v8uxzTwxIrXbSDTrB8NGYl3SzAj+8e/UccAg8cVc0u80KTTb4SaDeX0jpiG5vJwVV8HGW+XaM471e1L/hG28CaXdWMVxqJtGMEschb90Wy/wA23b3Jwc461h6rqlms0TpbYgkjDQ/ukcBf7o3Zxg8H6U5e+72ZlH/aOklr6bP1u7m54O1O20rWds+l6VC9yBCskN8WK5PU5duOnTFM12e00XVJdPu7LRJ41YOWVLlj8w3ZUliuefpXMrqVnJIgErQgkbj9jiwPy/wrrfFmqwahDpejeHNTtJ0ghBEojKsx6YY4wOmecdaj3o1U11Mq1GUcWpWdpLXeyts76/d8zAk1NbELd2MrSQs2NtpAluB/suQCf8fWtCDxVeNoWoWyafb2lneAj7RKzF1J4Oz+8foO/JrP+2aloaGVW+3ORhnXEkC+3y8MfrwPQ0yae4FuurTXNxJCfuWrPhgc9/8ApnnuOvI461q6amrpHRKjCduaKfZ36rbpv6lvS9EW28M3WuRwloFkEXnTjLE5B+SPoecckkdeKg1u8utUSztIA9vagIJokHG98NvPrwQPQEcAVBHq13czabDqWpXMVrcyGSby3ICpv24AH+6ccd6sXmonS9au7u1vbm4tNxjtxJIf3hwAT24U9PcCu72S5FK3br8zp5ZqV5JN9PL8Czq9v/wjfiWWTQtSNysdgA00QHynAjC8E85CmuSitbm+uWwuXJLO7kKF9SSeBXUeHdE1zXX1FLC6do47dXMrzbRtLrzyfQH8qs/aRZstrv8AtMoUnymYFVHd5Ccj8+g6DkGsK1dy0X3diFXdH90rSklr3+ehmaPp0ltIl3Zbd6EFbu4G2NfdVP3vTLcduuK9BfXPD+rz2kuvWZvdUtkG9oo/nKDd8wTPygE5wcEDJxiqt74F1vU9PhubKa0jdo/MkdNw+XAPyL2POPU4HTNZ+seF38OadYnS4W+1uGkluZ3ChOAd754GMnC8/jXnv2dVpyZ4lWthsdOLdT3tUrOz87vt/Vi543jW9+yasWS5t7geXb6dbttGRkh5D7DB9PwrM8NQ31+biXw9aJNPGcXVxvHzIFJ2DecYJABIx9AKo+ILrw49gsmhxyzSrj7eyEoJm4+bJyduc8ADqOnFaHhS6d/CdxcabqTW2ofbI4o9NtlAEiMyjHqcjdyc9K2pzlCKcVa3kbwjOjg1yq1nb3la2vVL8+u7MeWLUrO1vEtp7eQRnz1EQTcMHDDGOfcjI+WmX/jmLV7e3t9W0S1mihj2Fo2Mcn1BHA/EGus1NfD+g61pTXtrd2YmhZpidwYyAhOmeMrnOOoYVwuq6KHuWurN0+zeYyzsOkJXuR1APUD1yBnjPbSqTlDmi9JdOun6Ho4SrCulOS32fnt+hopoFvr+n2c2iXmTbAwvb3ICyH5i4Cno5+YgDgnHSsXxFJJFrFxa+W0CRyn92Rg59W96WF2vrO4srNG2RbZYlA5Yg4LH3+bPsB7VvSalbSGyh1aD+0mngUJcRgGS2ZSUOD/HyucHjnimkm+VaeZ0rmpz11Wvr3/zKel6VcavdQSwxsVv43t5Vwc+YF+8AOSOFb8D6VXjSPw0/mSxTPqBBCQSjZ5fbcy9c+gOPX0rudB0600aOO9t7qe4vixeGcOPLmPOEBIIyVOMDnnjtWDBpWr6xe6hr2oBYbG2umFwqDa8jAjC+pzkDr3qKlqMtWrfj6eRx/WlzyUn7it6t9v0LmlXF1penHU76ytPtVwAVWYCM4zkDcSGJJ9zwD36amta7p+r6g83iq8a0WMeWVs2bEjgk7R8p4GeT6n6VmQafBqdtJrd/dputZykFnkbriTKjcMnkKWA4BHy/WuB1W+k1HUpp5T95ztUdFGegopVrvntez6/0iKFCOIqub+Jde3kjr9N8S20WrC6vtTt59uREZbVyYhjGBgcjB6Utx4ZGqwz6zJLp8lk8hY3EDtG30APGecYIzXCKjOwVAWYnAA7mtVNQOmwtYKBNC5zdRsflkPoPTHr611QrJRtKOnbXc9P2LhrTNLU9Ptpra1Rbp7ZFLiJJ4SnHy8Z6fiSOtY4jg0+7VpDcCWNgw/dheRz61bvhLZ6ZYzWE8htZFcg55U7iNrD14696js9RS6eO0vbZZVdgoMfynJPp0H4Y980SqQm7rR6GkL8umpbuJLWDVrSztrNGXcrBpnLYLkHOBgdCBznpVWw1C4m1+LMhCGbO1AFB/AVo3lmja5YajYSfaLMsnI4ZAh2/MO33evSqXhOwhvddQ3k32eBASZTgDdjgc0+SfOorqx3XLdli4s/tGuXgIby3tkYlRyTtVsAdycGjULm40q+eWdCkjqqw28oPyIB1I4x3APXqaTxLdyWXiSNdPuN0dqsTQOAPmIUYb0NVfFdxqF1rjS6tG8cxjQAOmzIA64+ua1qyUOfl3TIim7X2sUjbRXbE2TbZDz5Mh5P+6e/06/WqrROkmx0YPnG0jnNPt7aW5fbEOnLMThVHqSelaCaotmnlIBdkcGWTI2j/YPUfX9K40lLWWhs7rYrgJpoy+Gu8cLjIi9z6t7dqpu7OxZyWYnJJ71aMdnOcxTtCT/DMMj/AL6H+FNl0+5iTf5fmR/89IiHX8xkZ9qUk+mwyrU0Fu0+TkJGvLO3Rf8APpUq2giUSXm5ARlYhw7f4D3NRT3LzYXASNfuxr0X/PrWYywl+bT5bDKA8O7DJlHoR0x7fnTZ4I5ojc2gwo/1kXeP3Hqv8u9U81JBO9vIJIzhh2IyCPQjuKpNbPYCacCWzinB+Zf3Tj6cg/iOP+A1VrUWBJ4JXtQPKmXmPPMbjkD6HnB/CswKzHCqSfQCk4tAJRV2LSbqTBdBCD08w4J+i9T+Aq0LLTrA5vpjPIP+WKD+fP6ZBqlSk/IXMjNt7Wa6kCW8ZdvboPqe1aYsrTTPmv5BLP1EK84+v/1/yIqK41uZo/JskW1h/uxjk/U/4Vmkkkk8k96u8IbasWrLl5qct1lV/dxngqDyfqe/8vaqdJmjNZSk5O7KSSA0UUVIBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACqpZgqjJJwBVm6ZYo1tYjkIcyN/eb/AdPzpYP9GtjckfvHysWe3q39P/ANVVKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAsWEQmvo1f7i5d/91Rub9Aaf9t89mW8BeNiSCDzGSc8e3tSW/wC6srmXuwEQ/E5P6D9aq0ATT27Q7WBDxvyjr0P+B9qhqaC4MOQVEkbffjbo3+B96dNbgR+dAS8OcHPVD6H/AB70AQKzIwZCQwOQR2qzcKtxH9piGG4EqDsfUexqrUkE7W8gdMHsynow7g0AR0VYuYFULNDzDIfl55U91PvVegAooooAKKKKACiiigAooooAKKKKACiiigAooqSGF55QkfXqSegHqfagBIYXnlEcYyT6nAHuT2Fa+q3Okx2NtDoqSLNsxcyt/H7D/wCtjtWdPNHHH5Fr93+OQjmT/Ae1VqACrtnPKbaS3jkZWH7xMHHIHI/EfyqlTopGikWSM7XU5UjsaAJxeuT++jim/wB9OfzGD+tW5Wsr+FplhkinQfvFR9wYf3gCM/Xn3qndoBIJYxiOYblA6D1H4GoY5WikEkZwyng0Aa+j6Tp2pTSJPqq2gRNwMqgZPpyazxZF/wDVXFu/1kC/+hYq82hz3OjSaxbKotlOHTPKnvgelZFAFk6bd5+WBpPePDj8xmo3tLiP/WQSr/vIRUVPWaVPuSOv0YigBPLf+435UeW/9xvyqT7ZcjpcS/8AfZo+23X/AD8y/wDfZoAj8qQ/wN+VSpZXT/ctpm+iE0n226/5+Jf++zUbSO/33ZvqaANGTTbp9Ogd4/KKMyHzWCccEfeI9T+VVTZ7P9bcwKfQPv8A/Qc0QndYXMfoUkH4Ej/2aq2aALPlWi/euHf/AHI/8TQJrSP7ls0p9ZX4/JcfzqtRQBZN9KP9VsiHpGgH69ageR5G3SMzN6sc02igApQxUgqSCOQRSUUAWhLFdDFz8kvaYDr/ALw/r/On3MD2+nQh8ENLIQynIYYTkGqVX0uTDpkKsqyRtNJuRuh4T8vrQBQoq6ll9rfGnBpXJ/1HVx9P734flUhjttOY+ftubgf8s1OY0PuR976Dj3qlG5MpJadSC3sJbiNpTtigX700hwo9vc+w5qUT2dp/x7RfaZf+esw+Vfov+OfpVa4uZrpw0z7scAdAvsB0FRKrOwVAWJ6ADOad0thcrfxEs91PckedKzAdAeg+g7UtvbTXUnlwJuPUnOAB6kngD3NWfscNlzqLEydfsyH5h/vH+H6dfpUNxfyzr5YCww5yIYhhR/U/U5NPzkJPS0ETBbKzb9432yQfwJlY8+56n8MfWoJ7+4nXYzBI/wDnnGNq/kKr0UuZ9ClBbvUStrw98skzno5jh/FpAf5KaxcZrp7DSL+z0Sy1CSDba3d4rLJuHOxWxx15+b8qukm5XS2McTOMYWk9zmm4Y/Wuh8L+I7TRbe/ttRsPtsN4irjcPkIzyARjPI/KsmPTLqZTKYxFFn/WTMEX8Cev0FH2eyiP768MntBGT+pxRByhLmQVo060PZy1Xl/wBL+y+zSCSFvOtpBuilA6j0PoR3FU66vR/FVjpukz6O+nia0umJllmfLLkYyAMY6dM/jWZqMk+mXZg+zWSqQGR0hDq6nkMC2Tg05whbmi/XyJp1KnM4Tj6O+6Mj8KMH0q3/a13/DIq/7saj+lH9rXv/Pw35Cs/dN7z7L7/wDgE+n6o9tGbadn8huhX70Z9R6j1B4P15rpLm2trN5LvUYY0wixx3EIwJAAF+72Y4I4xgBuM4rntNvry61S1gLrJvlUYeMEdfpXUeJvHJuvEaxXVhbXFlbP+8t2QfMwPJB6g9uuOPSt6aik5XPOxCq+0Uacd7t2f9bnIahDcSObxnWeOQ8Sx/dHouP4enQ1paXr+p+FYY30y4aG5uF3NlQwEfYYII56/TFb/wBo0TWvE8N7Fbyabpki7Znt2A2EKTh12kc4+hqhd2+jap4kml0672iGQkGVcROi8A5/hHQYxj6U3RjNNpp62I9vGrH2dam7Wu1a69H0K8up3Vlau00okliGDvQNmZxk5yP4V4+tZNvrk8FwkvkWjFTn/j2QZ9sgVa1rS9QtI445omkKgyTPGd4DPzzjocY61h4IPNYVY2fLY7KFOnKF1bU19Qu/s1z+5t7RoZQJIn8heVP9RyD7g1Lp2pTssjzRWqWUeDL/AKNH83oF4+8e359qr6dbnV7f7ADtmjzJExHG3GWU/gMj8R3qre3KPtgtgUt4uEB6se7H3P6dKzjFWuylFfB1/Qv6jq15MRLbTFLXpGkahRF/snHf371lS3E05zNK8hH95iaW3uGgckAMjcOh6MPQ06eBRGJ7cloWOOeqH0P+ND1dzaNOEPhRAGIII4I6Guut9Zn1qxFzrUzyyacMxzDHmbSen+0ATyPQ/ny1vb+cWZzsiQZd/T29z7VdsppLnWLaO3j+Vm8pIl7q3BHuTnmtYSa93ozOvThJc8lquv5m7FbtdO12fKa3bBeE8wztjhY8/dY4+7wR27CtXQb2xjiuL1NbvtJ1eN/ksskpsGMjG3oBnjsBTvEOmQeE/DNrFp7iS/RibuKeLdhSSN+08YyAAcHtzWTY+J430+e41Cwt28tVgTZEpGW68cNyqsOGA56VyShzXtdHitfW6TlFNxbt0/J7p/kTtqMmr3DSXlp9qeViwl06YFmJ5y0TBv0AqndxG1Xf9llZM43paR5B9D8oIP1FNml0HVIT9l0lYpx8220uWjZv+AyBgfoDmmWl5aQsp0ia689fuw3V1sDH0+UAf+PCrat8SOqMORe5Fry/p6fkdT4NstSu1e/tLN1+wsJdt+7BZAQfuqijnjvmsHXL22n1Se71EqrSuWS0H3Iv+ADHP+8R9DT7HxZf2FnfRRCPSp5iI5gLcFXBDdcgsD7g/hXJXVrNaybZ1wWGQwOQw9QRwRUKjLmcugqGFk8RKpOy0Vrb+epeutbLALaR7NvSSTDMP90Y2qPoM+9VbaRrmSaKZi7TrwzHJ3jkH+n41UqxaWt1PMptIXkZfm+UcD3J7CtbKJ6sYQprTQr0+KGS4lWOBGkdjgKoyTW5LodvFNJPf30cNtw37keYTnnaCOCfoSB3q5N4k0y38LxWGg6fJa36v+9vHCs8ic8ZA46j8qmU/wCVXMKmIaaVKPNrbyXm/wDgXKKadbaE8U+sETT43JZxMMg9i55AHfHOae+otaD7TLDHFLL88cCD5jn+ORj8x9cZ568DrSVRYKLq/XzLqQboonOcZ6O/8wO/B6da9tC+oXjyTudqgyTysfur3P1PQe5FK19WT7NSvKbv/WyRr6j4i1a88Ow2+pXjyrI37lGAG2MdfwJAH/AahsL221DNvqDCKSVfLaVvuv8A3WPow9e44Pc1lX10bu6aTG1eFRf7qjgD8qr0KCtoVHDwjDliuXrp0Og00z6VqlzpF67QLcjyvMU/cfqjg9xn81Y1q6Be6Ulxeaf44QNHGD5H7sgrJ67l5xgD1rI03UTPp4t7mFboWeZUjbhjHnLBWHII6+mM5FdfrmqWXjXwvb2mhabBb3EDBn3Y81gCcjOOQAwPXop44pySlBt7r+rnDib/AAyVruzktLedzj30y1mu2i+zz2QClzLvEkQT+8Dxx+Jz0pt1EEsWTRWE1uo/fyrxI3+8vUL9Mj1OaZJqn2SMafBGJrND+8SYH96397sV9sU/TrW1urn7RaXUlkIfnk87naM4wGA5znHIFTqtWdfvRXNLb7/v6lbTv9Cj+3ysyqDtjjU481vQ/wCyO/5VNDr8j3Jl1CFLktwXA2vj+7kcEdsEHjpirHiWwvN9tetbMlvPFmMJ80aYJBCsvykEjPHrVLSLSOS5SW6QtEsiosfTzGPQfTufatKa52mtyl7OpD2ktb/1Y6J9Agn1C3vbdnktEZI1tCMS8dQPVc5ORnvxwa5a4e61PUSNhaV2wsajAUegHYV0VhZax/wmlgLuLB1KdAoZgVKFhzx0xnI9MU7xFbHQb+XRdQZmnK/NfxAbmB/h/wBoDoe+fbitqtRNWiYRqOlVVKTvJq68l+v5sfoWs3Fhp11oOlTn7TNFI3nxdyFzsX1yAefU8dc0zRNNbRZpbjxRZT7ZRiOxkiYS3Dg8HHBCg9zwenNbfhbwSmnwpq19Okl9vBtbEMMyISB5hGd2ACxxj+Hn0rrNSv7zwxcya/rRhu7u4t/JWJB8ykH5VAHA+ZgSeec4rglUUvdgeXiMZT5nSw6u5b9G2uz7efToY9/q1xpxt/3cdvfRJuaNGJ8vjIDEnAIGSegA5OeK878QeILnWbuRpJjJuI8yQjHmkcZwOg4GB+PWna9q01xLJC7lpHYmdgeM5+6PUA9T3P0FYVaU6avzM9HA4GFJKpJe8T2l09ncLLHg44ZT0ZT1B9jXS2TyaRpv9oaXKVWeZWhYcmMqQNp9xuP4YPeuTrsdKgWSw0zTrgMFvAZzj+AIzHfj36fgfatZL3WzpxaXJe1+/oWfFdzcavpJa5YzXVvcBi2OT5mRjj/dFUWmZNRXT7dsf2jEhaQch5ugH+6GBX8SfStWy07ULm51i1SCQ3cloBHEF+ZWRQSQPXdgfUn0qLU5dOTwlo0draPaalHGy3FzJn5I1Y7sc9SxOO/51NJOFor/AIY8+hKMLUoq/p0ur/ddFLRbVLm+aK0j8nrFfTBSY9rjYQp/h6nrxkZ4AqXVdIjs/h/bXMd4kUy3MkcloceackD5ucj7ucY6MPrVSXxFqFhdT2+l7UtNQjUhNgO7cME59ckj6j2rSvtKu7K9ey8QWriNbhrkDcCwTB+6RnqVxit61SD5eV2fU3qyanF81tnbq7br8SO08VX1hodr4bgETLbkT4kTlpNxcpn6ED13Dg1081vPoehRXG6U6bdE3DxyHO+WQgqu3rgADGMHPPGM1zt14aPh2WHWL1k1Ca4+eCFVO1ZT90N6kE5x7GptS1zUp5LCKK/c2UW7zwW3K4Ub2bn13MAP9kYrlrUpwdlo1v5nBXoqpNewStduXm/8y9rfiPR7XXbObTLPyLjTLVkl3DdHlgAFAB4wSenvXBXlvPqF3NdweVOZXLlYDyM/7B+b9MVZ1iNUtPtUGSt7JvYE8wgdEP55HqMe+M6zjVd11Mu6OIjC/wB9uy/T19q7Kbfs40u2p6+Doxo0kovbv/Xc17Z9N0vw3Ot3byDWpSTbvyPKQ4HPPBI3dvSuerTSXVrpmfy5Z1Y5PmR7lH5jAqxFpkl4CDYQBwMkwXaIR7kFiP5VpJOpZRWi8jpXu7ldrw2f2RGQSRfZwJYm6OCzN+B54PalisvIvYrm23SwFWlhYcnKjhTjuDjj3B6GtaXw5Ddalbwi8VpJAkQijdGYHAABIbj9a6nSfDo03w9r0OorBAioqIUkO5WI4becdyuRwO1OWFqNuSWhk6kYvmRyOnodOS0ubhis0UdwBCuCSAu7Ddhy3T9KktRHrF7b3FgohZdym0X7qsVP3R706LRLmz0p2u4JJPL80KsJz5gbYMgjPGMnNVdAhubDxdBFD5gyxAyuMjGR179K2jf3YtaP/gDupJyiynr1vdWGrIl1G0UqQxYDrjoo/PpT9U1461dR3eqxPPcRxiMfOFQgZ6gDPc96u+KJG1bU2m3mWdYVZWH/AC1THXHYjv8A/WNczg1lXlKFSUY7NlwScU3uWJ7ySZdnCRA8RoMKP8fxqvmjFWY7TaiyXRMaN91QMs30HYe5rlbb3NSKKGSeQJEu4/kB7k9hVmOddOfdayF7jtKvAT6ep96ZJLLKvlQQtHF2RRnPuT3NC6ZfMN32WYL/AHmQgfmaEpPYLovaT4jn0/U0u7qNb4LnMc2DnI9SDUN3q0N3fTXDaZagSOWC/ONo9PlYD9KhOnMgzPcW0X/bYOfyXJpPJs0+/dM/tHH/AIkVrzVOXlbItG9xftVoeunqP92Vh/MmlW5tt37vTUc+jSOf5EUguLKL/VWZlb1nkJH5Lj+Zpp1G55EbiIekShP5Ur26jNWyuZrGZZ2s7SziyCwkzlhnPAYsfxxinanPFY3h8qWWaKQCWEIPKQqeRnHJ9O3SufLFiSxyT1JrWhP9oaOlt1mhYrH+PIH48j6getUqjeiFy9WU5dQnkDKpESN1WMYH59T+NVDR060GsZSb3LsgoooqQCiiigAooooAKKKKACiiigAooqxbwrsM84/cocYz98/3R/WgCHy3PRW/KirJ1S7ydsxReyqBgD0FFAFSiiigAqW2h8+YLnCjLM3oo5JqKrSHbpchXgtIFY+oxnH50ARXM3nzZAwijai/3VHQVFRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFAoAt3A8rT7aL+JwZm9snAH5Ln/AIFVSrWocXhHYIgHsNoqrQAZqSGd4H3IevBUjIYehFR0UAWZYUkjM9r9wffQ9Y/8R71WqW3keKYNG2D0+op9/GsV/OkY2qrkAelACW84iLJKu+F+HX09x7im3EBgkAzuVhuRh0YetRGrcJ36bcK/IjKsmf4STg0AVKKKKACiiigAooooAKKKKACiiigAooooAfDC88ojjGWPqcAe5PYe9TzTJHF9ntuV/wCWkn98/wCFPjGzRXkTh3m8tj6rjOPzqlQAUUUUAFFFFAFq1zcRNaHkk7oh/ten4j+lVaVWKsGU4I5BHarGogC+kwMZwxx6kZNACW97NbKY0cmJjl4iflf6iieAeX58HMROCO6H0P8AQ96r1c0r5tUghbmOaRUkXswJ6UAU6KdKAsrgdAxAptABRRRQAUUUUAWLPl5U/vRMPyGf6VXqzp//AB/IOxBB/I1WoAKKKKACiiigAooooAK0IbV7qwhVMKqySM7twqDCck1n1tan+58P6ZFF8iS75HUfxN8vJqorRsiUmmkupUkvUtU8nTSyj+OcjDyfT+6Pb86i+0RXC7bpcP2mQc/8CHf+dVadGA0ig9CaLtsaSii6mlTSAyAr9mX71xn5B+Pr7daGvY7VPK00FT/FcMPnb6f3R+tW9Yme01qazt22W0T7Eixlce47/U1T1iCO21KSOBdiAAgA+1U/ddkRFe0jzPbsUT70UUVmahTkRpHCxqWZjgADrSVs3n+g6RYtafumuIi0rL95uSOvXHHSrir3uRKXK0l1Kh09LX/kITeW/eGPDOPr2X6Hn2roJNduorOLTLYslrZ2pmVXIdkZlOOccffA4A61ycQ3TIDyCQDWzeMRda6R13FPw8wcfoK2pycU+XQ561KM2ufW3/DGPLLJO++Z2dvVjmo6WkNc7OvbRBWzYyLqmmnTJ/8Aj4iy9nJ/OM+x6j3+tY1PikaKRZI2KuhyrDqDVQlZkThzrTdbDTxSVf1tVTWLkIoUFs4AwMkZNUKUlZ2HGXNFS7m94QQDW2ujyLO3luOmeVXj9SKw3cvIzMcsxyT616J8H40a+1x2RWZdPIGRnqwrzuX/AFz/AO8a3nDlowl3uclKrzYqpC2yj+NzS0q4exs767jbDbFgUEZBLHJyO42q351ftLWDULEixAt5ruZY3hLcFV5YIT7lTg88d6yemjcd7jn3wv8A9c1csSRJp2DjAkYfX1/Ss4rVFVYuzcdHf8kJJqxmvpvtW5AXPlyRnDwc9B6j2/LFNuJmiYLqEMV5FIMxzodrEeoYd/ZgcelSXai48NJezANc/afL83uV25wfX6mpPC4FxfSW04EkKxPKEYZAdRkEenSnTk6j5WS+WEHO239aCtbC1hFvpdxtu3w8sbkLIB1CA9Ce5HXOOOKp31ubmJ7uKIxyIQLqEDGxum7HYE/gCcdxWfI7PKzuxLMxJJ7mui8PSvdJdfaWMphh3RluSPmAxnuME8dKUkpPTQqSdKPPuc1VuwD+a3/PHH77cPl2+/8AT3pNTiSDVrqKJdqJM6qPQAmn3v7u2too/lRohIwHdueayOpO6uWLyymbTlu7OFv7OVtofHIb/a9/fp0ptjK2mWhv4ztuXOy3bumMbnHv2H1PpUmnX90bI6cZm+ySFi0XYnaT/MZqPXFEd1BCg2xpaQFVHYtGrN+bMT+NLqRNc3uvYu32tXWoz2mq30xuJNv2e4z/ABAdvxU/mKXWNAvtI0CCeaAi1uLhjHNkYcAYU/iATWfp436dqaPyqwLIoPZhIi5/JiPxrS8Q6ne3Hh/QrWa4d4FtNyxk8AiR1B/IAfhRWcnJS77nHKMqc4QpWSvr6WurHOoxVgwJBByCO1dF4o1Kw1iG0u9M09LPYDHOABl34OTj15/WudFX9PG/TtTVuVWFZFHowkQZ/JiPxraEmouPc6alOLnGp1j+pPYX3mWN3b36m4gWJWXJ+eMhlGVP0PTp/Ous+H+lWN/dXOn3lp/alvcQl7Zi21YivXPdW5FcNZfenHYwPn8s/wBKv+Gru4t9ReOCeSJZIX3hGIzhSR09wK55qXK+V2OfG0JVKEo03Z/1qbereGb7TJHGnaGsyq2PMKNMy/hnaR/wH8qzo9K1OePztXV4YFPyQyOsPmH0G4gAepq74MmkvZbm2unaWJQrKrH7pLgEg9RwTWf4yVU1pVQBVES4UcAdeg7Uopyv3Rz0pVPa+wm02utv+CNvoftNrG97e28fkMUEUB8wIp5AG35fXvVjw74k0/wzeSTwab/aDSRmMtcsAAMg8Lg46d8/hWLZc2d8DyBCGH18xBn9TVOqcE1ZnfOhGpB056rtt+RYbzb++JQF5JnJA65JNT3csdvB9htW3gNmaUdJG9B/sj9etS2p8nQbqeL5ZTKsW8dQpByB6ZxWXT6+hcbSduiA0UtJTNS1pkhi1O3Yf3wCPUHgj8RXQaY66PqkmmH5zOkq3eP4F2NgA+o6n347VleGYkm8TWSSqGXzM4PsM06xYnWr1iefIujn/tm9Q37xx1LTqOD7J/ixJbghxDqMIu43GYp1OJMHoQ3f6HPccGrN1pbGFLDRz9rdWzOiD94X7Db3A9s859qPDaLcPOswDrAhljB/hYd//rVl2d1NbanDdQuVnjlEiuRnDA5zzVzjZ3iU4u7Uen3HQ6prWuw+GLTR70SWf2CUr5ZjMThSPlz0/wBqr+s3dlp0dl/ZF890YbNppxNGpKu4UKeV/wBsfgKsTzP4g07X73V9txcx2kZWTaFII24+7iuWvP8Aj2du7W9urH1GP/rD8qMNKPJL3Vdnn0IQnKLatZttLZtr7xra9q+oXUCS3c0pUgIqcYGegxXbeGNL01X1K61+9hmubWRpLeCaUDdIATtDMfmPABxnHFcvr8Mekw2cWnL5C3ECvKV+8xPX5jzj26VJdxrL42+zyDdDBETGh6LiLcP159+9Q/ejpoa4in9YhyxfLfqt9H+p2+iX14NI1O41Swee7vgDFbQqcxK2VGSORnBPPZfTFZtzq0FhpeoT3kJuoL0LDY3LYPkv825sHoyvubHuO2K0rC+ubF2ubWXZNLIQ7kA7sQxY6/U/nVvV7aG6+E+lpPEriR5pGyOS2HbOeo5rHDzdOtKKX9WPAoTVKvzcuknH5af8C3n1PGmtp/tTQBGeUNjCjOTU6aY4YLPKkbHpGp3v+S5x9DitXxAxhmtYIT5cbKysF43AOQMnvwAOa3fDum2k+t31rJCPIt4HdEBKjIQkZx97n1zXpxpLVvofXVKvIrmJD4ZFviXVY57eHglpsRls9AEALEn6CupisboatE9mLWzdBHlpY2KwxIobblvTGTjAGOec1v8Ajq8ntvBOm6jbsIruOBFSRFA2BhzgYwDwORyK5WwtIbiPU5Z1LyTSiKRy53MvykjOa1hDleq1PJp154mmqk9OlvmdZotxNrfiiTV7LUGUyRtFKUyI9q8gjgjOBg4PUZ71zWt6bd39i1stnHevHetGzW84JYsBjvlcYP3uOvFd54csba08Ova28KpD9jmbZ158tjn8xWLqFtFa6TaTW26KQxxyFkdhlhIy5PPPAA5r0K1GNOznvLf5+pjBqnVcorsv6/E86vdEvYba3Ufu5LCVo5HdgvkKcOu49AcliPXPHPFaus6rd3OlxtDcT3V7qDoiXLHlkRRuC8cDc3X2PSvV5tMsbv4b619ptYpCb3YXZRuIDIB83XOCeetch4w0uy0rRLIafbJCEteBjI+Z1zwc9dx/OvAxlJU5KS2e35mDxsKtWClHW7S/B/n0OSl8X3UPhlNNgSAW9gfKgmVSTI5B3E5OCBliOO4NRNcGPweqpZw/apGHyKCQqBsjjPUmTOOmMcVuXOiaan9khbSPa5VmXkqSzkE46dAPyrETULpvCt7L5u2R5JdzIoU8GHGMdPwrWnS5abd9N/xPRoxpuP7tWTd39/8ATZQsNNuFuSuqKzrc/LJFuCE+h3NgBh14z6EUmqyQ2FyLS3uEjt4hmMwRbmcHndubHWsq0djHeSliZBDwxOTywB/QkVfWGOfwxBJMu547h41Ynou0HH0ySfxrS6VnFbnoNNSuUZNQi/5ZwtM//PS5feR9B0/PNQSXU9xhJJDtzwg4UfgKjmULIQowKIBmeMHpuH86z5pOWptZInvZGj1WV4mZWjk+VlOCCOM1bt7rUrmF/KmuJp7iZUADEtIQDxjv2qjfc6jck/8APVv51p6FPJb3ulyQttcXpwcZ7IP604tupa+7G/hOr121tI/CdvHcOZtStIVE8akJIik7v0J7jp34rH05JJpY7u2vJXRLKQlNxVtwVlXjv0HSo5rqa48RNNM+95r2FZCQPmBUggj0IJGKZZMYdPiER27Z7zGOo2wgjn2ya7pVF7ZpKyX6Oxxwi4rl+ZBNqN42m27JO4lhiEit327ip59iB+tQyzXl0q3dtIEhbiTIAWJu4Pseo/LtWlbRJdTaE06hjcQzJL23jc3p9etZUkjOl/AT+6jXKIOApDAA4/E1hNyelzpikN/taS3BEEplk/56MowP90Y/U1VfU72Riz3MhY9TnmqtFcvNLuaWROb67IwbqbHp5hqFmZjliSfUmkopNt7gFJilopAJRRRSAKtWBJeSJSQ0ifJg87hyP5VVqS2do7qJ0OGVwQfQ5oAsX6+YI7xANs+d2B0cfeH6g/jVOtJ1At9QjA+SOUFR6HcR/Ks2rl3EgoooqBhRRRQAUUUUAFFFFABRRRQBLbwec53HbGoy746CluJxMwVF2RIMIvoPf3NTXB2WNsicK6l2A7ncRn8qpnrQAUUUUAf/2Q=="}}},{"metadata":{},"cell_type":"markdown","source":"<a id=\"2\"></a>\n"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"2\"></a>\n\n<h2 style='background:blue; border:0; color:white'><center>2. About Data</center><h2>\n"},{"metadata":{},"cell_type":"markdown","source":"1. Riiid Offers Santa which is Mobile Based Test Preparation Application for Test of English for International Communication aka TOEIC.\n2. Using Data generated from Santa Application by user interactions , Riiid provides personalized study plans in real time to the users to optimize their learning potential."},{"metadata":{},"cell_type":"markdown","source":"<a id=\"3\"></a>\n\n<h2 style='background:blue; border:0; color:white'><center>3. About TOEIC Test</center><h2>\n"},{"metadata":{},"cell_type":"markdown","source":"1. TOEIC is a Test of 120 minutes , It consists of 2 Sections .\n2. TOEIC has multiple choice question format in which we have to mark answers in answer sheet .\n3. It consists of Reading Section and Listening Sections .\n4. Each Section has multiple parts in itself which assess different learning capabilities of student."},{"metadata":{},"cell_type":"markdown","source":"Here is an Example of Sample question Taken From Part 1 of Listening Section . In part 1 , four statements about an image is spoken(not printed) and of this four statements we have to select one statement which best describes the image."},{"metadata":{},"cell_type":"markdown","source":"![Listening1.JPG](attachment:Listening1.JPG)","attachments":{"Listening1.JPG":{"image/jpeg":"/9j/4AAQSkZJRgABAQEAYABgAAD/4RDaRXhpZgAATU0AKgAAAAgABAE7AAIAAAAFAAAISodpAAQAAAABAAAIUJydAAEAAAAKAAAQyOocAAcAAAgMAAAAPgAAAAAc6gAAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFVzZXIAAAAFkAMAAgAAABQAABCekAQAAgAAABQAABCykpEAAgAAAAM3NAAAkpIAAgAAAAM3NAAA6hwABwAACAwAAAiSAAAAABzqAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMjAyMDoxMDoxMCAxMToxNDowOQAyMDIwOjEwOjEwIDExOjE0OjA5AAAAVQBzAGUAcgAAAP/hCxdodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvADw/eHBhY2tldCBiZWdpbj0n77u/JyBpZD0nVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkJz8+DQo8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIj48cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSJ1dWlkOmZhZjViZGQ1LWJhM2QtMTFkYS1hZDMxLWQzM2Q3NTE4MmYxYiIgeG1sbnM6ZGM9Imh0dHA6Ly9wdXJsLm9yZy9kYy9lbGVtZW50cy8xLjEvIi8+PHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9InV1aWQ6ZmFmNWJkZDUtYmEzZC0xMWRhLWFkMzEtZDMzZDc1MTgyZjFiIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8iPjx4bXA6Q3JlYXRlRGF0ZT4yMDIwLTEwLTEwVDExOjE0OjA5Ljc0MTwveG1wOkNyZWF0ZURhdGU+PC9yZGY6RGVzY3JpcHRpb24+PHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9InV1aWQ6ZmFmNWJkZDUtYmEzZC0xMWRhLWFkMzEtZDMzZDc1MTgyZjFiIiB4bWxuczpkYz0iaHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEuMS8iPjxkYzpjcmVhdG9yPjxyZGY6U2VxIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+PHJkZjpsaT5Vc2VyPC9yZGY6bGk+PC9yZGY6U2VxPg0KCQkJPC9kYzpjcmVhdG9yPjwvcmRmOkRlc2NyaXB0aW9uPjwvcmRmOlJERj48L3g6eG1wbWV0YT4NCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgPD94cGFja2V0IGVuZD0ndyc/Pv/bAEMABwUFBgUEBwYFBggHBwgKEQsKCQkKFQ8QDBEYFRoZGBUYFxseJyEbHSUdFxgiLiIlKCkrLCsaIC8zLyoyJyorKv/bAEMBBwgICgkKFAsLFCocGBwqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKv/AABEIAeACwgMBIgACEQEDEQH/xAAfAAABBQEBAQEBAQAAAAAAAAAAAQIDBAUGBwgJCgv/xAC1EAACAQMDAgQDBQUEBAAAAX0BAgMABBEFEiExQQYTUWEHInEUMoGRoQgjQrHBFVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4eLj5OXm5+jp6vHy8/T19vf4+fr/xAAfAQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgv/xAC1EQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS8BVictEKFiQ04SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqCg4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri4+Tl5ufo6ery8/T19vf4+fr/2gAMAwEAAhEDEQA/APpGiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK5j4k/8AJM/EH/XjJ/KlJ2TY4q7SOnorwy11G+s77wd4U1x2lu7DVbae0uCMC5tXjfaR7qflP4VtweLPFLWUHi6TV7X+zJ9UFl/YJtV3Ihl8r/Wg7jIMbsdPw4q7a287fl+rsRfS/wDXX9Fc9YoorgJ9Nms/jRpFzc6jcXjXVpeMschAjgQGPaiKOnB5PUmp6pf1sU9Fc7+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqupada6vplxp+oxeda3KGOWPcV3KeoyCCPwq1Wdr93PYaFc3Np/rYwCvy5/iGePpmjcCK78L6Pf3WmXN3ZLJPpJzZSb2Bi6Dseeg4OelU08AeFo/Ex8QJo0A1Mv5nnZbG/wDvbM7Q3fOM5561zknizWltt5uoUIPACrlh19KW18T65e7YYbtUnZsKWjU7vRdoXOffpRfW4rK1jt7DR7HTLi9nsYPKkvpvPuG3sd74AzyeOAOBgUs2lWU+r22qSw7ry1jeOGXew2q+NwxnBztHUVwg8T65Hqk1s94zhOVBhQHPdeBRc+J9fGvfZUnkjTAYx/Z1Y4xkkfLnFGwz0eivObvxPrltJHsvVkTG47Y05H5UW/i3VxFLLd3igA/KuxB/7LQB6NRXlL+NtdeTbb3wI7sYU4/So/8AhNvEQbDXny55IgQ4Hr0oA9aory4+Mte84xpdbj1X9ygJHuMVGPG2urdKHvCUAyyiFOefXbQB6rRXlMvjjW45ott6ZFZtpRLUE9O5C+v86uw+JvErxCSWbyQrfOskSK2MnGBjk0Aek0VwsfiPVxhJZm3MN24RrwM9uOTirT69fyKBFdmNsgPmJRg47ZFAHYUVyMuuajLCotpWV+Ax2KcfpTDr2pwyRebcKFZSSHjUbvoR39uKAOxorz+/1/xHGi3NvODbSf6srChz9RjIFQQ+L9W8tTLeAkjkmJMfgQKAPR6K8uu/Hupweakd2GcfdYxKAP05pNP8YeIrl0P2tZFb+HykBP6CgD1KivLdQ8VeIILGWaHVQskYPyNBGM47jK81zUXxK8VSlD/ai43AMBbx88/7tAHu9Fedr4q1WS3jkhvZDvIOTbp06Y6Y/X8qqaj4n8S2Uy/6W/lMfv8A2dCB7Z2j/wDVQB6fRXlcPjTX1lWR7xZFzho5IUH8gDXYWmtTXnl7LsZPLBUGPccj/OKAOkorzBvF+vR+PLjSTeZt45AqI0KZwQD1ArcuNd1SK8gUXBCvnchjXr6dKAOzorzifxLr8dnIzXwjcE8mFCF/T/PFSf8ACU6tJJF5d5t3Kz7fJU7gB9PcUAeh0Vw1xrOtpZTFb4K8a7lk8lMEehBHFco3xA8RxtN5l8oxhU/cx8E9z8vtQB7JRXh4+JHiUzH/AImI2gDA8iP8/u1aufiF4jhtQ63nPQloo+v020AezUV47pXj3xFdwwmS9dyQfNYQxZHuBt6VY/4TnX5rpktrxmUAlQIEYsB34XigD1qivLP+Ex8RNbE/aWV3IEZEKYXnnOVr0Dw7eTX+g21xcyebK+7c+0LnDEdB9KANOiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArC8aTPb+Eb2WJtjp5ZBz0/eLW7WD42O3wffHIH+rzn/rotAHmLP5kTyXE8e8kuI2yWPHX2FWtOMc250hKSrKhadpwqpnAHU8+tYeoS3r3Re4jyi4XI7Dtj0quWJjeRbhokU/dxnH1oA9Ga6hdo/LiR5Co/e7A5OSQTjuTUdvpc82qG9mHk7gUBSQ7xwevcZzj8K4nQtTmk1BndiSTnC/LkjH9K7j7aG1pJN2RPGoXa23B578dOKAOZ1yOWwCRXCmKRmJUP36d6zC7zKSrsY1Xcx6Af/Xr0S40i11W1AvJP3kfzKVOTGc8446e1Q3WixQW9xc6eisGiCrGVGS/uMD2PtQB55BcBWwqlcH3re07TJNRhMokEbqw2eYrBSOf4vX271Ybw1L50jajcgzsVfckZ2qg+8oJx+fPatWBbtWMWnyJKVG6OScZyvA4wenvigDnb2zayuWSQS7Y2IEm3Gee1VJCkt0oPKlDnnk1rajpN6JZprx4VmZt3lRuT+IrHhhd5iybTtcoTuAP/AOqgC5BrbW0kP2ZHtxGcAMx+c4wSfr6VZiM97eB5bh2keUt5bDJAHp7VVkt9Pj1BjcpI0CtuG84wffv19K6O2eGSDcYAGf5nkRvlIzwVoAliDiaMtuULyTJjBPoMdB7e1NuWYEEMk4JIOR+H/wBapjCHlWRpNzIcnPAPHpUUl0VY7cCJB8u5cAYPrQBDHa3E0vyorKfvFiRjvz+lIIltrr/So3ccsN5+VfoP8avJf+TGV+YhuPnH8vx9O1Z2rJPKUmUtKe4AHB7UAZuvK7NmJyQCPkbIJz2A/wAKqKJILcAxOnOPLA4OBnn3q6bhLlSJEQxxororTFST1x0znPoao3eoXKqHidYSXAcI+evY+hoASEQfaGa5IjLruEfVT6ZpsTw6YHfLGTPGHyuPQU618u4iYpE2VyTKGGW9sUTyWy20aXCyNKo5Yt85z9OPSgCrczNIWa7RWLqc7R8w4/IVyUZMM48vHHqK620tbrUbhxZQ75wDyr4Yds+/NclOzpeTiXczQttYEY5BxigDrrXV7qCJ2ilY54COq7V9SBjGaitdXuHusEF88MijHHt6VDvC2MLoC0bIFZ8ZHTp9aryTFNjoo3xjB44P/wCugDaiaOS4xc24AzgN6/j37V1WlWj28asjswA+UM2AT7fWuKtp8shkOP8AZz2rp9PZkXckm9emxcdPxoAzb5fs/wATZpG+UsqN1zzsFdVctm7tp153MRtHQHBrjtcmEnjSOeNWUSQoRng9xXZwwwi4jWadGKOd8XQjjqOfc9aAIry1tLsOssattAOw5OP/AK3NVLUI/ihZkUELA2VBGAScf0q1qUUUZkSzRyCAd24cc1j2U+28kdcHBCj5sd6AN91iKuz7tx44PA+leeeILMpNOgSUguGUnG4jNdpLeeXIpZMKwIBb+lZl7FHKz3Ccs4Ab6/0oA88AkS68tYw7oQcdSxz+vSpry4dkjj8oDAcrhhwB3IHI6960rmwaO+e6iC7VG3y1Ulm55FVpsR6W0eF3k5kITncT03UAIkZW3ihCTRu68bBksKtWa3FmvmsvkkjazDjA9P0rR0b/AEqRIp5o2Gzy1Vl5GOf8mtKGC08t15KPlZYy42n8euaAMGee5eL/AESZjGJEyUPfIx+vava/DqhNAtlVGQYbhxg/eNeR6tp9nbrZx6Y7Nul5hVj1+vFereEjcN4WszeDE2H3D/gbY/TFAGzRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVieMYnn8J3cUTbXcxhTjPPmL2rbrK8SrG/h26EyLImFyrEgH5h1IoA8LvpL221GWK8dkkiJUhwcHHY+tbMvhy5nSO60W1E0MqYkKtuKN6kdcV1WoW2lazpbR2whWcofKB5ZAOg65I9jnGazIIdW0SzljnDyRqv7o26kpnvk9sc9qAKtr4QvNM8u5eSCQEbpIgCrqOh4PUe4q0sWbyKCSaXf/AAAJksP/AK2P0q/4e8RtctMZ7eRrhTuYMuQ6H0/r+FadzfWsEnnQWm+QjIAHCem36mgB+nxRWLSKjTylyUbzXxtbr9PTvU32a7WZ5Z7lZY5ECqnQA56Y6fjXLHxQzT7oEjE0g/ex7Nz7h14x9OlaNtqVxM0b3EhUuQcqhwv1HagDo51S4t/LaNWLZGWPCHHOM1zcugaixP2i+EdueJhApLMOwyfXn2q5aXqWzShr+OViSBEq5Vvx9anm1aI2/mNCBEG+ZcdT69KAKOo3sOlacNPhSZDtwh343euec5rmo8z3kCvGgUgsyhACffiuq1Gea5sQNOhhCMwTdMygE9gDnOfbiuR8+K0vmSY5uArBVOeOuQKALthcWRVZL21iaUyfKHGcDHQZrQEFuLiQWL+S0eGeF/lHPQrjtXM20rFMzrsO7Cnd3+laUNyQ5Eu0gDaJAOuOxoA3ZpG3KqMFJ+/uHbB6YNQfahLIAHYRjgHAC56fjVGK6Zl/dsoG7Ax1XNV570CBiqtJJu5LNgexH0oAttMCrRrKqqh+VsZBB6AHP9fWqM99LJMES7VAQcor4x74H+cVTkvPLYCNj8+c8cEf5OKiT7KbrzQGQgcnaCCe/Q/SgC3JctHp8hW5ikYOQSq9fz61hPeRzMm2XJU/vHzgnPY+4q5e35ezeIqJBId2QcAH6nFc9bzMhlYoQ3QfNgj8aAN2O5juI3wJYcsAOSA/HPHTNCyo1rKrBvOBG3cpOR0x7VXjku1VI5GjO9AVIOSKc00igC3nKz4+6y/eHegDa01nsLyNwgiYAbmjfP51xWpHzddvmjIIklZvl4ByTW5azRxDeZJIpx9xY+T/AD4+tZ8sSzTySuxDty5JoA0UM5VC8eVRFyEGdvGPpUaufmQsr8YHPvT7Zmks4/KcOUXO1CCVHTOOtbPh/wAMXurBbpW2RbyGZxkkD0Hc0AZ9vEZGTAOVXn5a3bGJPOjW2nZZEGSWHA46V08fh7QYB+5tTO4GDvmIP1wPpTZNIgjmDabO0L/fMbcqOMfe7frQBx+sJIninT5Z8srxDHvhiD+ua7C3S1Dz7WhF07gs28ZA/P07VxmuXAl1vT8gKYt0ZwSTw1KJzd+MrqFjLIYdwUKBgHHTj29aAN7VL21Qq0s0m/t5Mg+U+pFZ9oyzzTHO0l8h2HB/x9qbqGofY4QgdohIM7UQFufXIq1ovh66vfLnuAyWzYfJPzFfYD1oAow3i3GpsZ48gqAQWOQMHuelJJIFLxNh9pwG2kHOa7WXw7piZeSzjwF25HX8cVWj8LWFxbfL+7Xu0bscfmaAOQTEsgSOINLt6ZwPrVa50Ca91Ty4pESAhJJGJA254wB0zx0rqrrwbZxygJczyyPwuzGR+nOK5LX9GNmsIa6UR5xI+4hlGO69MdqALEuiafDmdrtowCVCjIbOOtUkYxRqI9zAthQHzVOEXd5C7XUvlbeUUrhm9yOwpLWQuJEeTeIiScgrmgDVjKma1HT5y2G/i4/PvXr/AIeG3w/ajg4U9On3jXiJuklvYxIo82PICkkE9OPavZfBr+Z4Rsm3bsh+c5/jagDbooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5zx+5j8C6i6uyECP5lOCP3i10dYPjW3F14QvIGzhzGOE34/eL270AeW6DBetcR38ss8UCpzI6EiTjIXjv3rtIJUls2uHkkkRSRIcjauevTpx6+tcVrXiCS3hisLaTMcEW3zUXHOODtHAFZMWs34s1BldInDCRFJG4+/rQB1c9vZz+ddWDzBcKSvJXdnGAox1/rTk1uK9RLEl42UGN5GA7dOPaqGla7C2kDzJmjeJdoj28NxyTjtxVCXXopgxVgHZfLOwcsPfNAGxNp1pPbSX5vWiuIZTF5yuB5n/AeoHPaqljei2kL3sNvdqAeBOULn1PPNQQ6Jf6vrBlSSBVKgbnZUB7Z2jJP1rRvPBl59gkjspIJ7hHHyREjI7nJ44oAiuNYhe2imFktiyAhURPvg9859RRHr0cHl/aF86PG4gDAB9OlSXOnT6RpoTV5bW5kjjUxW4diBz1OBjuagtdQDTbnSzhDnAKwrhR9SDQBck1jStTiET6a0Mg5EsJGB7lf/wBdVvItY3CXJR/JBIO0bsHtx35rqPs9k2ng300DK7gLI6eWuT6ED6/lXOXEkem38kMk0fkoeDGm4SHj5d3Yc9/SgBsOnwapC5wbdUACsFxnk8+/9CaS8gi0uIo++SEkbXLY+hz3/DitHTrhStw1mVuCMs6yMFAwAT7H+dMu4/OaRwQ+UBWMxB1iGfX196AOdW7DlmgkIOeNx5x9aivrmOBf3pfJT7ijAYj1NWb/AMO3sBins4WulcFmXbjaATlhg9MY6896w59S8+BpIoVdMLmRBuCMx4DcYBoAbJqUk/BiSONPTnFPS4d4G8qJpyGBynGwY9KyBcM2GAVUZckAYDHJ7VJDMyXkeHU8/wB2gDQu7yOSNjLkPHkex9c/SqUDBlJj5G7JJG/9KJLO8ub2VYUa6LZYSY4xTF820eTfDLA4XlQuAPxoAnilBbPH3Tjgj8fpVkXN+rqUMfkr1wMkjrx7VHb6nvlCvIJDgMC6jgY6Z4/KluGnuiGQxQKrY4UAyH0O3t9aAF3FNrgDL/Mdg+bnvU95crZqE2AuwxtPB+ufSqKyOJRKGMjryuzH8zUGo6hLdXKK1sodV+80oxk84wKANTSL9JLyysfPa2kaVYywQEMhJ59se3r7V6xqWow2y/ZrYfZ0VMKIztUN6/zrw2W3lbUEmtvKXywM5YgKR9Peu20PWJb1po9QVZBGibCjbgBnqc85yaANK51OfSvNigdZUIHyk8Jnkiqln4ildW+0TMo/hVV4A/Cpb/SBfurg+Wp6jHIFUtT0KBY1+zxiORflG1j86+9ACaxPBc3tjeQMjKxKttGORjrWxHppfxTaMqpZec/nJdRThXkJA+Vg30wMViNo8dnpNi08mxpJn5z3AHb0xVrVo43sLmZFWUi3EiSKzBkZcZXk4wQPSgDrrjwvps+rXFy8/mRxKXSzZs72H3iT1x049fat6EzNCI3iSBgMAAZ2r6HtXJeEJ7rUVUefF5qKZPLUZ2BscsTyfuiui1bUPsSwv9u8g7S0kaqHJHAz7daAJLmz/wBNjL3LhPvrGy9++G7fSi7v7bSoUkaQJHI/DKc8nqaowaZewabcu+q3eoGSLfGpQMgzyCB3P6VyFveNJqrSa4k91EDtCyjY0f8AwEUAehpqBVWcQCQB8MFYdu/9cVRuYI75fOCokw42uu9HAOfmGOvvToLrfpomQ24ItzJFKp4dh9eRxjg+lWrF4b+0Wc+XjlS4HOR15oA5W88PyanMWa1ktZydvnJjynHYkZ4rk77Q7/SG/f2qvFISCVbcDjvntXrgtBFJvgbaO5A+Vh7jvWPrui2d8klzFN9iukABQklJOP7o/mKAPNtN0dta1Iws3kwLC0kkoXhFGMfqMV7D4JtRZ+DrGBXWQJ5mGUEA5kY9+e9cLDYQ6XY/ZoWeOWc+bO8UpXoPlX175/Gu+8ItI3hW0M3m7/nz5z72++2MnvxQBtUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcr8TGK/DnVSJBEQseHJxj94tdVWJ4x06LVvCF/ZXDqkcqKCznABDAj9QKAPm9rl/Kt2f955jlmDkgEAcc/ia3rGS3fTQGto0Eg+WJGbIJPv9PWvQfDNpD4b0uWw1Ozt71VYyxSIAzKP4l5HUYB445rAuLE3muSahCYvLa4MqwAFQPQe1AGDcaOsSokTsyrw0iAnJ6jn2Jp1lp2oXA/dQyzybvmZELk1cN1LZa7PcakWuPMZmWCMYEeeQB9KtXXj4/Y3svsMsIyNjRy7SPqcdO/GKANM6lDoRhtTY3EN20YRjINiKP7xcE8+wqUeKNLgtsJDbyzKTGBHI42jGTgntXMya9dSWqSi7mWLaIwgbcAfxHH8+OtY0lwDcsYizLyc7cZz1JoA71LzT7do7hre/vJs7S5dRtUnkYHX8q0b9dIMPmXOmSX0zjaGRVEi98YTB79D6Vy3hnxDd2K+Wqm4iYEeUT39eh/8Ar0zU77V5ozMljEJYiJEnWQgwkEAnB7HPSgBNbkewjcw6W9vBI2Y2uN3BI5GOnvxiufU3SxiRldfvADccg+p9j+tautarqeq6J5DpJM0UoIIBJGPT2qpYPerbrttZsqNjKVO5h9f/ANdAGpokfkh7qCJpo9nzNnCk5GQ4P9O/rW4dA1pbnf8AbLSOWIhdzTsBICMrnA5HWuVs7fUre42eVMbdMsELgBi3XgHH4U/7br77MQSYSIR5d1GcHI70AXopdU03a76pbwr5hQxndIFy21uCMHGc49OlV9H8O2d5cSebNcC48yB/KjtThozjcQDzkc/XisebSdaut7yEJ5jbipl4B9eKlttF1FR5kmovDOowGT5sc9jxQBoeINA0qHSLG70K4kuA7vDKjDkMvOQOvI5x2qroGkGbUUuXK7YgBtKksM8fStXQbW20mbzr/wA6+cFmXJ2cnqScnNa7a9bKH8jSYYt5BOHYk4oAx9fuJ9HeG107EAmAUy7zgE9PU1yranqSXclnJeTM0bHJ884wO49q7i81f7YNzWMeM5GHbP6Vz+o2cd7MJVto4JQNodCeR6EUAZy6ne4wtwTjsxPP+NUl1C5ub7bM8qlEKoPNJV2Y4HHqMk/hWgdMkQg7gSvT5TSadYNa6gLi5w4XO3avQmgDZWSxWIIjKfLXgMOQAPeuckxdT7lCTKz5IHAUZx+mDW9e3CTWcghBZyMAbcGufnRreSKS4t2IXo5baM4x0H1oAs6deSaho95ZrOsUMt0XOYAzMMf3uoHA+WrGkzzaReyuUC2ypulb5csgJ28ckcjio/Dlkz20VtArTXDnGEB+ZiaseOYR4fdtO/5auqmYjo5A4x7Dkfn60AdpDepeWMNxbHckyBl+lV0mj84+a2AOrN0FeMWrzPl45ZECHbhXIAyRUiPqE1r9ma7naA4Ji3kg0AdtrviiLVteigsG/wBEswVRx/y0Ofmb+n0FbdhfqFVonw64OAeleYRo1upKjY+OnpWjpusSQyBmYkLwfcUAe0W2pLq8tu8K+TqFmrsTAqqZwQOvY++frVJJY7Zri91u1kt7yJWmguNm3zAOvyjgkD069K43R/EEi6hDdQgRPGTtkDeo6Ejp+IxXX6bpF9r0S2d9otzZ2/zO96bpX8wZyNq45Hp04zQBm6XrT3EjW+n6ncIA6rEskWxdjE7s4yeM9K1Lq3e5vh9qZbeCCRxNPtO90DY+7jr25x61Pd+A4oLJl0aK8M7YCu7Ltz/te2PbOaq2Xw/1U3kbXc6KiHLncct15HHXmgC9r1tZxW4gvwI9PmwsSWzBihBzknvnvVu/tf8AhHrFIbS5jd5JOXZtu0Y+Vm+gqQ+DJJpF+03GY1OQhZmyB+grUTw7FGrLHM6h0CSAxI29R2yRnFAEGn6xGyRJJKJBtBeZJQFzjrgnIH1rlfinZ+dothfaM5lCTsjtbuWGCM849x+tdjL4R0OaTedNjVh0MZKY/I81fs9LtbCLybSJkX/eJz+JoA+bpE1UxnKXGCOuG4r6B+F/mf8ACttK8/d5mJc7uv8ArXra8j5cYPA9Ku2y7LdVHbP86AJaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsfxWceGLs5UY2EF1DDO9exrYrK8TxmXw5dIApJ2nD9DhwaAPKL7U9XjjciZIYiFG7by27HyrnOOnWnJJ5NvK7FsBeMHvVnxNZ3tzb2aSPbwR2zeYY0zk/Xv0rKupPk2DB3dOetAFLUblo5C8qqwypwx7Ae1ZE0KSyKGkCvKd2OQEHcAn+tQ6sbyWdNgfYpwcLms+GK+/etJuOehYktt/pQBtR2ZeRcOhUE8PIDn2x3q3JZ4RRboEAPzjHbHpWBFBceaPKUlh1IGce9XYG1CTAuUdlbOdow3sR+lAHSaJp8FysW+T7PuGVZsHcR2Irv9K0K3ubMec6tuGDgEZ9CM15/orazCqRR20jRgZwV/M16Jo5uMBpYb2ONfuJKQw6Yx0oAkbwnbsMJI6gHgL2qOTwomCVLsT0AwBW9C0u05J6Y+hqbL8Z5+tAHHt4SlZtqJtA6liKbL4OuAo8tw5+mP612eCR8wx6c0Efn7UAcI3hK83DA56Z7CpV8FXmc+ZEPq1dn5iqp+Y/L14pj3VsrYe4hB95lB/nQByEngq7GfLlif6nFQnwVe84EJ9/M/+tXbJPA/CzxEnoA4J/nUwQk8kKMc5FAHAnwVfoBsWInuFepY/AtweZZoUPccmu6wedvbvRtJOaAONj8CKOZLgN/ujFW4vBOnKuJWkLexH+FdMVAGev0GaRsquSjEegFAGEvhPStoHk5x3LYzUkfhrS4JN4gVh6MQa0zK/KrE+CepHFM35yDbvx1IoAig0mytUkltreKCYIdj46V54ugR+NLh01CItBC2Wl53A+gPvXoeozCHRZy/ygRtgjtkcVR0XSXsNKijkxHIcu/OME/4DigDyr4ieEtN8NxWB0eARRyIwlIZiWYEHJz7GuMXzoQkttGWMbbmYDO0ep9smvZvifaw3PhIv5yySW8ocAc8Hg/zFeJTndGoPBU0AGo6q08JilVdzHhiOao2UhEkoPGCMflVS6IIbduP07GorS8eKdRNyGONwGKAOo06ZoZg6FgM8YPNe2+A/EaX+mrZOcyxD5OcZX0rxTT182RYeoJ4r1HwPZx2F5HczRiQgcDP3ff3NAHpSl2PbH16U8I395PzrIN1dLfmJZl2N8yEqOlXo73Y2y8QRE9HHKn/AAoAt+UT951/CnCMjrJ+QpVAZcggg9xSjGOv60AJt28lyazLjUbC90uZg9w0D5jV4gQZO2UPf607xAx/sWSGJyj3LpAGBwQGYA4/DNZXiCGNrkwrEnk29qkFrGfurJK+wN/wFRxQBlarq9xoN3DaQ6nP85Kss374KMcMuPmBHcetdxoV2b7RYLgyRS793zxZ2thiMjPPasXwxptrbaWLjYzXM7MzTScyYDELz9AK1/D7M2jqXcO3nzAsF2g4lcdO1AGnRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVna/aNfaHcW8ZUM+3BbpwwP9K0agvQTZyY68Yx9aAOEj8Jlxm5nDNnKr1AzR/whcTuxluQqD7pVcYz2rpDBJIoBHpwFxS/Y55TjB47kgcUAc0ngfT16TSOpPzAjOPepD4J00FsZwSCM87fWtt9Nu9pTK7c8/PTP7PuI9q7MooxtU8UAZUfgnTw+HAIP4HFaVt4d0u1x5VpG7EY+bn+dSATRZXbjB44zUouJARhSD3YjNAE6WECIDHbxrt+6BirOz2H4VBHceqk1KJx34oAkCD/IpAu3ORgUeafT9KaZm/uGgCQLj86ZKUhheWXISJS7EDoAMmk8yQjhTSHzGRlcfKwwQR1FAHi/iTxJqWuagytcvFak4SBWwoHuO59zWBdRmNVCc/jyK7jxL4PlsrkywIWi6hvb0+tcLfXiFzAm12HBY9T9KANbwktxP4msYIkZz567gB90Ag59q96Z1B6ivn7wmzt4nsYYLmWB5plUsn3sE84r2xtN1KI/6Jqm9QOlzAr/AKjBoA0zIu3jmgSAjp+lZBk1yH/WafZ3QHeGUoT+DCry32IwbixuofXCBwP++TQBZMhB4U0m9j0T86iS/snOPtSKT0EmUP61ZRVdcxsrj1U5oAi3Pn5ioobc6lQ2cjHSpX2xqWkYKo6k8YrC1LXfKYfZB8gOS543fh6UAW9ZljhihjkXfhg4T+9jpn2zWFc3k9xLvlbpyEB4FWNRunvraG527NmQc9Oeh/Pj8ayvMXcVHUEZyO3PegCPUrdL2wntZkIWZCmSc444/WvDNShlt5JIXX5kYqTnoRXuZcOygkEYOPY1wPjvw4536paKSjHEyjqrev0oA80ZPmzkn3qB4Q3Ud+ferzxkN8wIAp8Gn3V44S0tZZmJ6IhNAFvw9My6kgcl3bCrXq1tI0NqFHH481xvhrwneadd/bdUURkLiOPdkj3NdjbRtcy9D5cf3mAyBQBv211OYIhNIzNt6+g9K29ImYzGOcq8ZzlnbOPp/hWBAvmKAo2jdzhRXRDdPDGkNqDGRhwMZH8qANFoHtCZLM4i/ii6gf1H4VIbotCrjPI6DnPt9aEmjtovLHG044PSq6pvuiYmxu5KEfK34djQBYkYMnzqCODyO9RTwxzqvnNlVcOMnuDkfrUdxHIQ3ls0B67JRlW9gw7Vj3dybe8CB5VZcEwsSysD3U/j9KAN0zRwpkuqqOcAdqb4Nn+1eFbecHIklnYHH/TZ6w9a1CSx8PXczjbtQ7G3YJOflAHvWr8PRjwHpvOeJOf+2jUAdJRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUyX/VGn1V1KVoNPkkQgFcfe6dRQAzJxx/OlOCMH8eaz7bU4pPvyw5/wBkk/0q+rblyvT6YoAcSvTPXpTcfWlGDRjI9PxoAZ5UbduaBCg6gU75ScZ/KlAxQAnloPTHtShVHQfjVG61K2tGxJvY+wqFPENmeDvT3IzQBrY9qXHH+FZjeILEdJWJ9lNQnxFbZPDgdiBQBsHFJleOevSufl8SKpxHEzepZqiXxDMSMwqV74FAGlrrxy6ebNrj7P8AaQY/NVgGXjqB3NeeweE9L0qSV9RkhvEkfagkj+bHXcMH0z+Vdfc+IoigXyAueDkBsj2rAvNRuprxX3mNVGAuBt5+nJ6UALp+j6FpvirTptOhcLw4AVmBcjjnnGO+T3r0TewXITI+tecRyb5opJWEjcvFIoxt9D9eetXf7SvEXH2mX2+Y5oA7CTUEjJEpVPck03+04CSBdQgj1Nck99d3A2vIzdxkZxVdnZnw52t1OelAHZTXsZQ+ZcwMOwYA/wCNZck1m+XWAA55aMhD+lYkEpSUMwyp9D1q48jEblXKjjIoAsjUruMHyrqXHUIx38fjWTq17dTSCZ4VkRUwSiBfxxUzORktnp0PQVBI3y5IyG4OBznrigCOG9S9lDypcw28YCiNGGHbuSD/AEq0xspDxdFPRJY8D86rSHcwZmIJGQARgcU+CJHcZby4x8xbj6dfWgBxtHdP3ckMpz0D9s9eaW7t8weS6sQR8xxwaJTAixwrHuAb53YDceeMd6hnnWJj5MrRf7O4gfrQBmf2TCSSwBUeoFaVlpzNbvJBGqxRjLSEhRWVqttd6rHEYr/yWjJwBHwx9yCKdHdXNnpEVk83mkDMhGcFs+/NAEcsUl3eCC3yzudqj/Gte2g+w6S0RaSSOWYYjX1A+9S+ErbfemeXdz8qt2GRzWtb2Nyr+WzCNYzg5Gec88UAR6fbMlo6eWAGzhsYx9P8a07ffZwKjNv7byfu89/zpu359gBGzDKvYn3H/wBerUEQyJZIQhPJY9M8fnQBVeOVipWTgkEBecfjWlZbgijAOD34Jo2gELznPO48GpVWNugGWHrmgCyrg5DAY7iqt1pkdzH+7/dMPu46f/WqVWBPC5J/GpQ/PJ6nAwKAPOfE/hrVbhwLi5kkgQ5Vc8D3rsvBFobHwbY25Odnmc/WRj/WtYhXBDgEd1YZzUtvGsUCpGMKM4H40ASUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVtRaFLCRroAxDG7P1FWazfEH/IBue3C/wDoQoAz01XSbZf3e1D0HyGornxAgGbaXJ/3P6mudPlY3eYR2wB1qJzGo4Of6UAbQ8Q3KtukYFfQnFWF8THb+8t1PvnNcy0ikEbs80okJGOcDvigDopvESsvEbFjyATgVkz6jJPIW3FQPQnmqO4E4PPejd9R9BmgCx5rN78dyaQsGAHvz6VWZsDofrik3Arx+JoAs78ZAIA6ilBHO44pLO0nvC3lKQi/ecnCr+P9K1bOGK1kXyMySd5ZB/6CO3160AUorC6lG/yigPRnO3P51Zi0Z2IL3Ea+uwE/4VcyXmA3Ek8knkmtK3tS0ZBAx33dDQBgT6CPMWFLh/NcYRiowrdeRnPQE8elQW2kH7c0FzNKjA7NxI2mTqVHA4Axz7100UUTCRZJQ5+ZWVtuVXPP4VUuZrW3jSM7t9uQquRnB5zjB5zjOPpQBz2oWdvYunlTGYy5WCNE+ZyBkgfhSPBcKoaNV34zsH+sH/Aev4iumhWDVZEuVV2NszIpkTbtPGeP6/WsjU4WF7G6lFMZLecR9wd+f096AMVp3bOG4Gc4HSjMjnuy455x/nrUk7yNcSu0HlCRi21WxtJ7dOntVfZcFDmYqMEn8aAH7SpCj+IA9c1PFO8cjKz7yRkDngf1qssM0q+VFNheAOAM/j2+lImkXDXkjG7Ee4gKeC59vTjrQBdkmjOBvccj5jwBQsZbaFGQxyOPvY7e5p0ekRiQ/ab4lRwwEQw2eRjnr61NHYCaGNLLVXj8p8SeYikse64HQ8igCDCZVHAy3XK47f8A6qaV2Iudu3ORnj8PeiUN9tmjSRJmhB8zypOF9CR1z7dOKaDJLMSWwQgJIHbv/WgCRZFeZUBJIOflA/z/AFqO4UsxAp1moZ94TGwfMcY59MfrSTsjZDMVB9B1oAqWgCyyx5GfvYHakmtfMmGB34FRwzKupxpGu1GBHufetCQEMNoyf5UAa2jWbRtEJlYBGyEb5QPety+aOO4IJYFwGDcY/WuZtp2Qhg7E9GPOcemK6lsS28RyYy6jAYZP40AVvLYL8r8Z6A5I/D/Gpwoxu5Oe4PSmHJDccZGMDIqeMSFFI+ZsHO08E0ANjm5Kj5VA55+7Ssyx58whSvAJPrTHkbzvmVsA8YbHt/hRG5CgyxBM4AXIOB9aAJ1lywU8Lj73r/hUisxX5uF9V7CoVky4XaQM7cEZ/KnqyklUbIz68mgCfeApOPw9atRHMYPSqYLBNxOT1P8A9erkJzGM+p6fWgB9FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWb4gRpNCuFT7x24/wC+hWlWb4hdo9BuWT7w24/76FAHDNYzoMtuB69O1V5EEYGY2b3NSzXN1NHljtH3evJ96qO7Ebf0J7UAIZMMdvT2FBctlmYhewoIByDgY/umlZVXs2O+elAB5ZPQg8dT6U7lCB/9ek8xBjBCjOOe9Lhn7bfUYoAVQ7TYVSzN0GMk1NGkELjzv3sgPzRo3C/7zf0FRx3CWkEsc6vtmXb5sYJKAe3XB9qis5LGBSRdw7cfKDIM5+hwRQBujeyqyny1RsBV+6B7DpV2EbVyrAjHyn+lQWM0EyKYZY3DDLBWU4q/tVVycAdeegoAsWVjljK/en38iCEw8sTj5VPJ5A/magu9bsoLRoGkZpWJjxGOR7g1yeu69PdSxraA26RtzICC0ncLnt0H40AdWzxJbtGSyIqnzWkA5Hcc5JPTiqK3MOp2saW8kbyFj5rSpyOCoOOnOBXA3N/eX3nOwZ/MX51lJwnoc9+cc0ulnVGUmJvKKyAPIJsInfk9x6UAelW0v2Sx8y+mAkgiCySSccDr09+1cLqXik6lrUaQAxWUJ3YXq57E1V1zVbi6iSxhmlnhUE5PDTN6kVj3NlLE0UCyRxtM2XkJ+4MdB7jmgDfk1GBApuLoct8wRfm/E+lWkuVZWZYRkDIBz83oCe2a50rHJB9nu2PlxzbWIX5ipHQke/PXpWjFazRDKfuoxlFDfMqADqSfXrn29aAN6xvwkKzRLiRs7YdmVZsZIOT3xjPUfnUks6NJGF+aHy8gxnasZ9SD9fx9BWZa4e286BtiEbHd0zsIGd27POPbjn1zV20zPIgl3tbeSQ9yoACZOMke56exycUAJdQ3T3MYicLvfoBw2B0yenP58U2SaUK0cltJDJHkMrEKzfUZ5FQQW8cczQC48qHcd0kkhO444Ixx1GOfTtRqs6aZp6/aIt5HybY2zk8dz14I6UAUb29TTEa/iuTam2OSkbD5/Ygfe59fSqemfEKLVbqUanaLCmMxzxKFdT3z2I6HtXNWFs+rahcpqcsnkjKrbq3+rJOfpke/Wt+38PaTZLi2hmkkZyPMlnVRwAegGD/9egDo4HuLgvdWiefBt/eBIipXPsef59aqvMxkZWRl9j1H1p9hb2rqscv2pDnK3AdlZWIxnPTHOMf/AK6lv4ympSq8xnKgL5pOS+BjJNAFawhNxdtIQy+Vz0zmtV1wV5xzUGkQyy3EyW+3eVHBxzz6d6tMjD93MrIw9RQA+3mSMszruA/hPc9q6m0Iu9NtpbnaGYE/UZ9D+FcrBFF5ypIyxhjy7ngV1DW8Zs7VYnZkTIVs9R65oAfI+1D5eHboBwB9KzfLv7OUfIWiZuGjIIQk98kdvzq5gBwBJtOeN5wB75pwgZMsOvXaO9AD8zNGAsagnhivXp/jU8SsETewLrndjJGahg8xACx2rkgYJJ/+tVhnU8sSqgdmxQA0s+QOpUbgRgZx2+lAWNfnVdvchc8E9elLFuwdylFPdmzk/wBKUbtgxiPnhcZ+ooAPlCZyAckj0q7bEm3Ut15/nWbLj72W6DJJGK0LLH2OPHTnvnvQBPRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVna+duh3BHJG3HP8AtCtGszxEGOg3OwkH5eR2+YUAcWkbXEmNpLEjGFzmp20V5PmBCjHALDJNVUu2jU75CeemetI+q3DYWN8DHGBigCb+w3LASSxqe2TjP51HLpiAlRcrI3seQaovJLI3zZJ7DHWpYra7mwFR2B6EDAoAYYJhIWVVI6KSaGDxNgnaOnrWnFoFy5BZscflVtPDXGWdWYjoWNAHPiCVir7M8dSc/pXMahCtlqjCQ7QG5z6GvUrTQUiO9gX4GQT8q/41yPxI0ZXtzqFk4eUYR4V5YjsQBQBwF1PtunaE4GTgrxTotWv0x5d7cJgYG2QjiqALeSFMcoZeuUPFKjp/E4U+/FAG0viPV1QL9tZ1HaRFb+Yq5F4pvJnSO6gt5yx27ipU/oRXPKwYfKQfoaeSYyGH3lOaANO48WXunStDa2llFsJAPll8f99E1nR61qesaggvLh5FDgBBwq/RRwKo6jN9qlaZBjcenpWp4T0955ppQpwpxuxwKAOgaQldkK4kb7z4yT7D0q9d+HUtWikvFmNwSEKrny0Urxk84JJPHtWr4c06zhuJJZ42maNNyjnhs8DFb+o2gvnRCkn7r5ww5z2I9T9OaAMTRdLBdbRoSIVPyCVvMHIzxznBNWLlIZ7nZc+XbWtu5VoZwCThc8r369evTirFrc6JAjefH9lld2VnmOGXnB/lnFIFeW/ZbKFZA5UmaO6ztAxlh6ZBBoAnbEcYi8sEhFMJlGEbcOwBORnjHbrVW+tJHvBcR3bN5T4aGRtysCAdrdjg5wPoKszLcLcmG3C27SOH3FsByT0yRk5wDwBjoetVt4eQRTXCOwXDSyPvkQryM8DnHQe2aAMfXNWj0dfIkt/tEWcsGyFR/UMQB0OAOfxrhtIuLq+1OQzPJIAoVpCdwAHQHj8Aa9HeOO98yG3iEkLgsRO24k9SefUelY94bdVX7KltFwEZRGF8zHJHHOfzFAGV9lt9Ht9liojbG5lZidzHgMxH48e/SoWuTdK0LOVk3Zyqgce2BVz+z5pZAFgeKBvmZjzk4qhLolyDkqoVQSrCXYcr147HB6UAaEMgtogph2QMf3248yehGD696uwTCYFl6Zx9KyNO00JsLTFWbcqeYfljb+EHrjJyMEfjXR+Hbm2vLGZL1rcSJLhFz2wPWgB9jdLYSec25iyt8gUHcOOvpzXRDVXhvUW9Ibf/AKpAWyAeD7enc9OKzfECyQ2trZw28RUqrq/ljch3HPPXtWYuoJJbIy7oDvwySD5sYxw/OP8AdHr60AaDCzXXT9nRjA2GxIo4+ntXaQXCT24QADH3eOBXng/dXUZWZZUxhSrZ9/61tf2q9nps7lSVRONvXqBQB03nROuDhhnBIXO38KVfIVMxsuPVT/OuIOuSykSXAxtbGCCuD9OtW21A5PlyyO+35RuwfyNAHVecg+YHIBxhQO340kt0FTYEw+AR8v8APtXJx3kkDM0zFy2MqvH51ei8QZWPI2gYyMDr/hQBoXGoNH1byyByxPFZNzrl1C0f75W3HkYJC+9Pn1hJCwTaiE8ZJ5rHuJ/NXCbsfWgDatdauSoSRwQPvbVHP411mkSrPpMMiHcrZwc+5ry2OSRGbarkdgDwB6V6R4Vcv4ZtGYbT8+R6fO1AGvRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVU1OJZtNljcbg2OD9RVuorrm2fqPp9aAOButNuJDujj+XkEAdOeKrXWnPYae95cj9zGAWC5z1xjH412G3BAHX+VPkhikj2yoHjYYZXHBHpQBw1rruiWTuYRJcyPg8KWI9qvN4wbYfK0m7RcfK3ktj8eK6uGCK3ULbQrCMYARQB+lSI4LkEsM89aAMnQNUuNQ05pri0CMJCqjyzyMD1rT+0ygnagX1wAKkKtgFDtGRkckVG0qNJ5YUbgcNtwcfhQA1bsu+3z0z3AfOPyrDvvDguJ5ZFuWEkhLjCAj1x1rbjhSNdiKqgdNo6D0p2wJzyAOTzxQB5v4Z0NrvxJq2m6t9nluLMq4KxttcHHGAw9RXaWuhWtkwKaLpUn+0Q2f/AB4NXmHi7VJLfx5dHSLl4vtDJumhcqW+QDbx2yuataL4snNqJrzWtRl2HmCUBAf+Bckj8RQBpJp1p4n+JlzI+iLNYabH5RhtQoR5D3Y/LuA5/SuovPhz4bnt2CWS2krDjy5Xyp+gJFc/Y/EOx06GcYm2nlII8YLdzntWDqXxI1e93LDDHbQnosTkNj3bH8sUAVb/AETRfDd08N5eSTsrlVjwCSfoB/OqB1+7fUjpulwJawIBllGXye/oOM1kzTSTz3N1IFSNGXKlwTz/AD5B5qxYXYjvrq5RQzPtRPwWgD2Lw1Zadp+lpLb+T9suVVrg78ux5wOT1ArZYqq8KoKj+9iud8J6XGmmpf3B+03V0N5mDZ2A5+Ueh9fyrdVoYv3ixyqQmSrJlhxwOvB+maAKsml2lxIxlt/OY/e82MMM9CRkdxT4S9rvSzSSOKNhyYs7l9BjHHNXg2IA+XUORztznPqKijhWOSQROwZjuYs5I+gz0+goAzLm3htLq1mgjjWBSWYP8pG7ONueDzjvn0qrePcrZswkktt7kkRKHwv/ANcnHQknvWxNHHLEPPDYY9QTkemapGygk3NJG0R5xh8/iPQHg8UAY5nW2g2CaUCNGnUOuG5ONmD6Y9+tZt7rGQI5o1aQurKyx5OePl2/hyc8mtG80+aF4/s6yP5fzL5spdUz16nPfNcve2V48jwzLkMOHeTmT6emKAHXV9K/nFEkBcOJCwXn0+YcjoBVHS31GVX+0KjAZKqHOABztLDkk9B/OopobiGF3F3kx/IoAJLjvg9OP1rPm1q+0oiLP2iJx5nmxLnJbscdCKANua7kt2FzPCpYKGWNnII9jz3zj6VgRamwkOPnJYsTjHJNRXepTssj3ELZXqijJJPSm6dp2r6hORb6XMR1AK4OO5HsKAO40ie3ubWK6vdSndrdirjIUHeOFViDjGOvv+FXJ5HjZYZbVnjuEBZ9p2Nnk8jocZ5qXwr4e1bTUle7QWm5FeJT8x3bujYOF6Hqc1ryaLI0I8+CDMqtKEtww3En+JAckjjkf/XoAx9PsBJHGtqjxqSGTzCcEfX1roZ7J7TRHlluIY3BAVMg5JPc1z2pakNOuYLi2sdmJBHyuAMDkYB54xz05rdv9XstU8Oy28YZS7KTzg5HOKAMi3e3kkDxMTKVKmVFLBuOh/8ArVaa6KKIyQRnO3b7dD61mG1KbVjkbaDwNwwR/jnvS5MjHYcYwcsOB9ccj60ATyXAQADBJyBk/wBarmZjyMqCeDjH61eSF32faAAAcY3ZZc9/x/pThDC5QRyI8KkhiG7+hPqKAM/YWbqTVuKDAGR3xVoWoMQZEb5+hzkH8qdbWwVz5hBwcNn+VAFeSMAcRgnHGa7rwuMeG7XjH3uP+BmuYcxJGSduD3Uf5zXW6CMaJbjGOG4/4EaANCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqC9JFnJjg4H86nqG75tXz7fzoAzMu3DdfTHtTty9GccdFHNRqy5IwOe9AyrEAAsTztHX3oAc3UlfTuaG+RVbord/0p0hVDhuuOmM598Coyjjg4KjoOPXNADgzOoZW2jPIwOe1O3KMBRkfrTXY4w+D71Dd3lvZ25mmJVAP4u59AKAJZpRbwtLMwSNRkse1cZrXiZr9ngtmaO2HUDq/19vaq2s69PqTnd+7t1PyxqevufU1hs+5s4we3vQBh61E9zrSmNEw6ovmknKt82B+P9KzLyKS0ZTcHcXbauDkmrms3kcGoWjuAXlnVFJbgDvUV63m6lHsUzLENxI6A+n+fSgCq4aMfvFZfUkUzzBu4IqzLK0ikMpHoBVby3YHLBV67etAEYt3ubp1Vd67MuM9Fzgn9au6ZaL9i/dDCidkXGeSAKk0/Svt11lYS7xKXXGBtbsTntntXfeCPDsTQrPdIGeEmREdflLOfvfhigDb8NR32iaNDa3do8jcsRCy5TPIBBOf51qHVrcRgzRTwlGyRLAw/XpVwFkdIuWMgJDHnb+lJ5b+czZYpt+6DnNAFZLu3k+X7TG2CeC3zH8KnbaRhcnHY8H0/wDr0slpFLCWmiiOePnUN29cZAqqmj2yN8iSQMB/yykIJH+e1AEF9r9jYP5Jcu4zkgcKfSqh8Q6eB/rCo7IIzkfiOorOvfDN28zNFJCys26NnbBxnj2qnceH3hj+W9t2YKWYFsc+2aAOgTWNJmPmedEgH8Lgj8ayNS8SWSqRbqZmP8X3V/x/lXO+SckLkN6DB/WlVHeNAD8i5PYUAMubgXdyZJhhm7KoGKrSW4dTtj3HGeAKumCTaevPA55JqaC3cZ3qwAIAKrnA75/CgDI/s/EsZeIMSwxx+Vb2n6tqGilkR9ltDliGcHr7Z5/pU1tZRxIXcho1TY5+5uGevqO+fWs678M3UdyxUkru2I8Y3qw68mgDp7bxpPPb+VeApE6B1kjCsH5+42cY49K343ilsvtMLrOm8sHOGEY/pwcdfy6V56dLuLSFpJN2xFzI7AcL37/jW5p+paFYREQXa7JMM3Od31oAfqFmdWniZ22WdudwA5JOMfUdvyrKNs1pctPAsMUXcykEn6Crt/4t09I2itC0rsSQAuAD659K5xrjULy5aSWwuZRwVYRhY1z05P8AOgDp/Mikj8zad0gxlYyQOPTGakSIO+9mHI+4IWAHt0H51FaylbSJmZVkVQDlicHvVkXg8shmQ47hqAI1V4vL8rIUZOwMeKsQMQhVVCqx6AYzUbzKy5woC905xUkIZmUFgCTnA5yP6UAWkcITmPauDggjA/Cm7vmxn93noDj361a8tTH7Hpjio57cYwW27RkCgCtLD5mcSNychgOvt/n0rr/D6eXoNsu4twxyf941xErOrHLfLnjiu38PEtoFsW6kN/6EaANKiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqvfDNnJg46c/iKsVDdo0lq6ICSewx6+9AGMpQ5xjJHUnpUi7B8wlYnHAzjOfQg04afcM+TCse3kEEE5+v0p4sZ8jEQwB3YZoAgXIY7nJJPp1/E0/OV46nO7nipfsdxuH7vp3LDNIbCfBJjyfQEUAU729S1tpJ5QSEA6dT6CuH1DU57+YyTnjPyoOg+ld/PpUlzC8UsOUcbSSw6VzFx4MvzdeXaxMIRwJZHT+QPSgDlpHBwGXA7YFVbl38l/JG5sHaCcc11lx4K1dcLFbxS8csJQP5kVTfwXr7H5bFVGeP3yf40AcDcWk16qrLF5C9TvwTx6f409IFjjEceduOcdPzrsZPA3iV5MtZKykcgToP61Cfh54hB+SxUD2mj9frQBxoQiUARlhn7vTNXI7dMhmUp3x1z+NdUvgDXzNuewGP8ArvHn+dWrD4f6uZ9t5ZxpHjlmlU49wAefxoAyNBtxHa3bohZ2O1So6nB/qa7/AEN2l0mAzW5hkjhRHU84YDnp2zmqEHgbUba+WS1u1it1ZW8goGB6Zyc57Zrok0iSBW2Izljzlxn278D6UAV1iAuFZ1bPXGe3+cVMjFfMDcBiBgjJHvU6adLHHhU2jGAoI/PrTvsVykZKAFsfdLAZ/HtQBACflYrnjnBwQOnSsDVL28s5ZIYcQxdnA5Y/U/nxXUi2uM5KZ6nG4flTZbGWSMsEO/sCR/LOKAPOHurtmybmbAOdzEgAkeprObMeBG0mW+8u3g16JL4edpgfsasMEFgVGc9TjNR/8I3LG/7u0QqDgYYdO1AHEx6fLcM8hDBMYBYYJ/DtSSx+VId3PJI967V9BviR/o4I7/Ov+NNk0LUGQ7bQE9iXT/GgDj4EkacLwn+3ydtJHJJp80nkna6tuzKQMjkA49Oa6yfQdXkhWFIAsaHAHmKePrnI4qFfC+pIuPsods4LOyMCD2GT+NAHG3E11NHIkRIGdxVckf8A6q0dLv792EdwN8ec8LgJ+PFdCnhrVo0KrbKMnJYSLk/rTx4e1YE4t+c9fMX/ABoAyri3jnt3jlXMbqQynoR9Ky4PB2ija3kyEgcgynBxXUjw/qxUq1qACf8Anov59aki0LVImVltBuB/56qR+WaAMFdF0e2GbSz2XCnOSNw6dQxPrSyqY9yyKVHRd6YAbPU/rW63h7UTyluR2CtIvT86qT+GdYk3BbXjPaVen50Ac/KygjDMAwIyBlSc+3GKdGJNwiBaQ4JO44C/lWufCmtnCiAhB0/eof0zTE8Ka8oKm1UjOc+YnP4ZoAqQSlvk2soHqelatsuYRkAkDgmgeG9ZyCbXnk/6xOM/j1qz/wAI/qgYYtmYDoTIo2/rQA+OTaIzENo5DEnH/jvvUE84JOeCBgj0NWv7E1NcN5BJ7qHX+pqN9A1ZwdsRXPZnXj9aAMWVyZGLNnPrXd+HG3eH7Y5z97p/vGuRk8Ma0/8Ay7A4/wCmi/412Gg2s1lodvb3KbJU3blJBxlie3HegDRooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACk3qOrD86rySlzgcL/OoqYi5vT+8v50b0/vL+dU6KALm9P7y/nRvT+8v51TpaALe9P7y/nRvT+8v51UxRigC3vT+8v50b0/vL+dVMUlAFzen95fzo3p/eX86pI6yAmNlYAlSVOcEcEU6gC3vT+8v50b0/vL+dVMUYoAt70/vL+dG9P7y/nVOigC5vT+8v50b0/vL+dU6KALm9P7y/nRvT+8v51TooAub0/vL+dG9P7y/nVOigC5vT+8v50b0/vL+dU6bJIkS7pGCjnknHbP8hQBe3p/eX86N6f3l/Osyxv7TU7KO8026hu7aUZjmgkDo49Qw4NT0AXN6f3l/Ojen95fzqnUU93b2vl/ap4ofNcRx+Y4Xe56KM9SfSgDR3p/eX86UMD0IP0NUqWgC7RUMMpJ2t+BqakMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmSnETU+kZdyketAFKilIwcGkpiPHf2ivEGq+GdA0HU9BvpbK7j1AgSRHqPLbII6EexyKvfBz4tX3xDt5bXVdGmhurVR5l9boTbSHHQk/cc/wB3nPt0rrPG3gDSvH0enW+vNK1pZXBuDBE23zjtICluoHPbn3Fb2m6ZY6Pp8VjpVpDaWsK7Y4YUCqo+goAtVm648n2a2topJIftVykLyRNtZV5JwRyMhcZHIzxWlVe/sY9QtDBK8kfzK6SRnDIwOQwzkZBHcEetAGdppubOW9sbYtdx21xGsf2m5ZnSNlUtl23MxGSRk5PAzUd3YSnWI5YL+7e9MyuI1mZYYoMjIaPO05AIDEbiTxgDi7a6QLW1Ma3108zzLNNcuU8yYjHDYUKAQAMADjpjrUCaFcR6tJexa9qKRyy+Y9oEtzG3AG3Ji34wP72fegDOQzfJrP2u5859Q+zmFp28ryvOMe3y87c453Yznvjiuhvrg2tnJKg3PjbGv95icKPzIqkugwrqX2n7VcmESmcWe5fJEp/j+7uznnG7GecZq9PbefcQOzfJCxfZj7zYwDn2yf09KAIXB0rQpWTMjW8DPnHLsAST9Sf51ladDNp9/Ybby4uTfWzvOtxcM4aQBSGUEkIOSMLgcjiuhZQ6FXGVYYIPcVmafoUenzeZ9tu7jZGYrdZ2Ui3Q4+VcKCeg5bceOtAEOp2rXlrby6nPc2oCf8eljcujPMeQA6FWbGDxwDySMVVFndahdW+n6le3SPa2KSu1tO0ReUkjcShGcben3TnkGrd5oE901o8OvalaS20Rj8yJbdjJnGWbzImGeP4cVLd6J9qWBv7TvYbiOPynuYjGHmTjIYbCvJHVQCOcEUATaLcy3mhWVxcMGlkhVnYdGOOTV2mQQR2ttFbwLsiiQIi+gAwKfQB5D8QPjz/wgvjG50H/AIRp73yERvtDXnkh9yhuB5bZAzjOeoNcz/w1R/1J3/lU/wDtNfQlFAHz3/w1R/1J3/lU/wDtNdN8P/jz/wAJ14xttB/4Rp7Lz0dvtC3nnBNqluR5a4BxjOepFevUUAFFFFAGF428QS+FfBOqa5bwJcSWMBlWJyQrHI4JH1r598KfFjXfiF8bNAkv1jtbK0iumhsYSTHv+yy5ds/ePb2HTqc/Tk0MVxC0VxGksbjDI6hlYe4Ncbf/AAx0V/Hel+LdLtobK+sVlSWKOMLHdI8LxgMB0ILD5vTg54wAch8NtRWHxdo1xpdmunWHizR3vrnTIRiK3uYnVTLGv8CuCeB14r2SuN8HeDr7TNWuPEHia5tZ9Ynt1tIobGMpbWFupyIYgecE4JJ9BwO/ZUAFecfF6LRZP+Ea/t3QdT1f/iaIIP7PYjymOPvY6g8ccE4PIr0euZ8Z6J4j1r+yv+EY8Qf2N9mvFluv3e7z4x/D/wDWPBzz0oA6aiiigBQcEEVdqpGu9wO3erdAwooopAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADHiD+x9ai+zt2IqxRQBX+zv6rR9nf1WrFVNR1XTtHt1uNWv7WxhZ9iyXMyxqWwTjLEDOAePY0AP8As7+q0fZ39VrK/wCE58J/9DRov/gwi/8Aiq1pb60hlaOa6hjkXy9yPIAR5jFI8j/aYFR6kYFACfZ39Vo+zv6rViqh1XTlZA1/agyOyIDMvzMsgjYDnkiRlQjszAdTigB/2d/VaPs7+q1KJ4muHt1lQzRorvGGG5VYkKSOoBKtg99p9KfQBX+zv6rR9nf1WpZ54rW3kuLmVIYYkLySSMFVFAySSeAAO9E88VrbyXFzKkMMSF5JJGCqigZJJPAAHegCL7O/qtH2d/VasUyeeK1t5Li5lSGGJC8kkjBVRQMkkngADvQBF9nf1Wj7O/qtSzzxWtvJcXMqQwxIXkkkYKqKBkkk8AAd6fQBX+zv6rR9nf1WpRPE1w9usqGaNFd4ww3KrEhSR1AJVsHvtPpRPPFa28lxcypDDEheSSRgqooGSSTwAB3oAi+zv6rR9nf1WrFVJNV06GyivJb+1S1mTfFO0yhJF2F8hs4I2KzZHYE9BQA/7O/qtH2d/ValE8TXD26yoZo0V3jDDcqsSFJHUAlWwe+0+lEE8V1bx3FtKk0MqB45I2DK6kZBBHBBHegCL7O/qtH2d/ValgniureO4tpUmhlQPHJGwZXUjIII4II70TTxW8Ye4lSJC6oGdgoLMwVRz3LEADuSBQBF9nf1Wj7O/qtWKYJ4muHt1lQzRorvGGG5VYkKSOoBKtg99p9KAIvs7+q0fZ39VqxRQBX+zv6rQLc/xEfhViigBEQIMLS0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc3491a70bwq0+myTRXct1bQRPDCZCN8yBukcmMruAJRuSAAWIB6SoLyyt7+BYbuPzI1ljmA3EYeN1dDx6Mqn8OaAPHbPXfE+kapc3l1Jq0dvc6vatMXspWE0beRE3H9npkkAqMNGcgYVjgv0HjfRfIuJL+ay1rULm8v7Hdc2d/5EMcYukWOAR+ep3AZIbGPMkLgpn5e+1DTLXVI4EvUd0t7iO5RVldB5iNuQnaRuAYA7TkZAOOBWbe+DtJ1GV3vH1OTfKJig1e6VA4bcCqiQKuGAIwBjAxjFAFC7SXTvCQOnya1pt9NKxt7Sa8S5uZ5tpCw75fPUK23cSDhQCxwA9Y3hfT/J1C1OrX11dwy6lqEVr50Vs6PMt3NIytiEOhPkrMCrbd0Z+7tQN2+m6PbaT5v2WW9k83G77VfTXOMZ6eY7bevbGeM9BU9nZW9hA0NpH5cbSyTEbicvI7O559WZj+PFAHA+L7G8tre41HUXeG+1C3+yxXtjq0tstnJhzGGjUoJIYgXkaU7n/wBY3lqgwnZtBpXh+O81BYks0ncPP5SnEshbAIjX70jMwGQC7naOcKKNO8P6bpdw1zbQu90yeWbq5ne4m2ZB2eZIzMEyM7c4zk4yTRD4f02HVDqJhee73s8ctzO85gLZ3eVvYiIEHBCbQRgdAKAOM8T6Rqmr6Skepy3VrcXLuuxbmRvtCPM7R2Qt4po0Z/K+WSRjgKCdzDMkdDVdKvIPhbrtzqelOLuS3nSb7DNKk26FJkM008swe4hONyowOEZRtcDNek6jplrqtusN4jkI+9HileKSNsEZV0IZTgkZBGQSOhIqi3hTTH0u806ZtQntb1Ak6T6ncyFlHYM0hKg5wQpG4cHIoA8n8U+C9QvfF1/C2jXU91fabMbUxSWlwpKW9pECZbj96Qr7gXOH5DJgs9dR8T9KNp4e1Ce1bUxHPa3Uk832y9uI1bZkReSkoVFbLHewMaBMFTuFehPZW8mow3zx5uYYpIY33H5UcoWGOnJjT8vc1Hd6Za39xbTXaPIbZ98aea4jLZBBZAdrkEAqWB2kZGDzQBjajpmnaVpM2nLHe6g2s5sktbvUp5RKTG5I3yM3lrsDszLzheAzbVJaaN4jl0Mxa5rVld3klqsEsTaeGtGzjezpkO7Eb1yGRCCP3Yxzu3tlb6jZva3kfmRPjIDFSCDkMrDlWBAIYEEEAggiqmnaDaaXcNNbTag7smwi51K4uFxkH7sjsAeOuM9fU0AeHaa2iX0GkWcNv4fMct1CIi2kWTTPvcCNJFW+MxVSyZ43kJ8+4F93SfEXTUu9cuLd9G/tC8/suKW6lsbFd9w7eYnyn7HcOjYiwC0q4+XB+UtXfW/gfRLWO1jiXUPJtHjeCB9VuniQxsGT920hXClVIBGOBW1FZW8F5cXUcf7+52+bIWJJCjCqM9FGSdowMsxxliSAeZeF7Ky0zS/Ed7qejXVnDZ2SzNc2tv8AYpXQb3eON0tbV8/u0JGSDlRkc1p2PhV9M/sTw61zvkbRZWn+0s17B58X2ePKJMTtjKzTIVTZlJCOMKV7q8sre/gWG7j8yNZY5gNxGHjdXQ8ejKp/DmoLLRdP07Uby+srfyp73b55DsVOCzDCk7V+aR2O0DLMxOSSaAOP16dte8PiO/NrBcXSWE5sdR0lbttOe5JgXAYopIck/MCV2yZBDKq0fDK6VZ+BdRuNPtUCSJaRRw2UB06SaZ4ongj86ORnw3nxKWdiQ7SksUIC982i6e88kr2+5pbpbyQF2KvMqKisVzg4CIQMYDKrY3AGqmleEtF0W/F5plq8My24tlzcSOqxhI0wFZioO2GIFsZOwZJoA4/w9p82kfDjwzqi6leyXTf2aiL9pkEKQzTRI0flFirfLIw3MCQT8uwKioz4myWlrdxCS8tY5ZrizlaO48TXFowAuEGVt1yoTC5MgwVwzAZXnvhounjQ4tHFvixhiSKKMO2Y1TGwq2dwZdoIYHcCAQcjNVx4Y0hbyK4jtPK8nZtgildICUACMYQRGzKFXDFSRsTBG1cAEFl4eSTQ0tNR+2wSGUyusGt3cpVvugCYsrlcYO3hc9s81yHhPRF1LxVrA1V9Wt5o7K0JgF/fwtAS9xmMyNLmcKRgSL8h5KgZOfQdO0uy0i3a30y2S1ty+8QRDbGhIGdq9FBxnCgAkk9SSTTtMtdKt2hs0cB33u8sryySNgDLO5LMcADJJwAB0AFADLXWtPvdRmsba43zw7sjYwV9p2vsYja+1iFbaTtYgNgnFXqo2ui6fZajNfW1vsnm3ZO9iqbjufYpO1NzAM20DcwBbJGavUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFQXmfs4ALLmRASpIOC4B5FAE9FQfY4v703/AH/f/Gj7HF/em/7/AL/40AT0VB9ji/vTf9/3/wAaPscX96b/AL/v/jQBPRUH2OL+9N/3/f8Axo+xxf3pv+/7/wCNAE9FQfY4v703/f8Af/Gj7HF/em/7/v8A40AT0VB9ji/vTf8Af9/8aPscX96b/v8Av/jQBPRUH2OL+9N/3/f/ABo+xxf3pv8Av+/+NAE9FQfY4v703/f9/wDGj7HF/em/7/v/AI0AT0VB9ji/vTf9/wB/8aPscX96b/v+/wDjQBPRUH2OL+9N/wB/3/xo+xxf3pv+/wC/+NAE9FVoE8q8lRWcr5aEB3LYJLep9hVmgAooqlaWyS2cLu8xZo1JPnvySPrQBdoqD7HF/em/7/v/AI0fY4v703/f9/8AGgCeioPscX96b/v+/wDjR9ji/vTf9/3/AMaAJ6Kg+xxf3pv+/wC/+NH2OL+9N/3/AH/xoAnoqD7HF/em/wC/7/40fY4v703/AH/f/GgCeioPscX96b/v+/8AjR9ji/vTf9/3/wAaAJ6Kg+xxf3pv+/7/AONH2OL+9N/3/f8AxoAnoqD7HF/em/7/AL/40fY4v703/f8Af/GgCeioPscX96b/AL/v/jR9ji/vTf8Af9/8aAJ6Kg+xxf3pv+/7/wCNH2OL+9N/3/f/ABoAnoqD7HF/em/7/v8A40fY4v703/f9/wDGgCeioPscX96b/v8Av/jR9ji/vTf9/wB/8aAJ6Kg+xxf3pv8Av+/+NH2OL+9N/wB/3/xoAnoqD7HF/em/7/v/AI0fY4v703/f9/8AGgCeioPscX96b/v+/wDjR9ji/vTf9/3/AMaAJ6Kg+xxf3pv+/wC/+NH2OL+9N/3/AH/xoAnoqD7HF/em/wC/7/40fY4v703/AH/f/GgCeioPscX96b/v+/8AjR9ji/vTf9/3/wAaAJ6Kg+xxf3pv+/7/AONH2OL+9N/3/f8AxoAnoqD7HF/em/7/AL/40fY4v703/f8Af/GgCeioPscX96b/AL/v/jR9ji/vTf8Af9/8aAJ6Kg+xxf3pv+/7/wCNH2OL+9N/3/f/ABoAnoqD7HF/em/7/v8A40fY4v703/f9/wDGgCeioPscX96b/v8Av/jS2bFrGBmJLGJSST14oAmooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKgvP9Qv/AF1j/wDQ1qeoLz/UL/11j/8AQ1oAnooooAKKKKACiuWPj3Th8RB4R8mX7QYt32njyxJt3+V/vbPmrRj8XeH5tXGlRazZvf8AmND9nEo371+8uPUYPHsa0dOa6efyJ54vqbFFYaeNfDUn2sprdmRZAtcHzRiMBtpOfQNxkcZq1L4i0eCS6SbU7VHs3jS4UyjMTSfcDDsWzx60uSfYOaPc0qKy4vE2iTatNpcWq2r30IbzIBKNy7fvD6juO3en6T4g0jXfN/sbUbe+EIUyGCQOF3AkZI9cUnCSV2h8y7mjRXFaB8Rv+EhvIGstAvm0u5neCK/jZZNjKSMyxrlolODgt7ZxV7wt4/0TxTbwiC6ht72USsbJ5QZFCOVJP5bsehBq5Uakb3WxKqRezOnorJ0/xToWqi5OnavZ3AtFLzlJhiNR/Ef9ng/N0461k6v8SvDWl+G5tai1CG+gimjgKW8ili7ngYJH8OW+ikikqc27JDc4pXudZRUVtcw3lpDdWkqzQToskUiHKupGQQfQg1LWZQUUUUAQJ/yEZv8ArlH/ADep6gT/AJCM3/XKP+b1PQAVBY/8g62/65L/ACFT1BY/8g62/wCuS/yFADdRnu7bT5ZdOsxe3KgeXbtKIg5z03EHHFcefGniga6ukHwbF9sa2N0E/tdMeWGC5zsx1I4rpPE1/Fpvhy9nnErKYjGBFGzsWYYHA56mvIbG80+71DRTrI1uCKz0QW0slrDOj+eJAduVGSMZPpwK48RUcZJJ2+7/ACZ9JlOChXozqVKaklf+a+1+ko39N9dzufE3xFm8K6fpj6rpSQ6hds7S2f2kMI41JGRIBgk/LxjufTNVLv4m3SawYbCxsbyyMsEaXEd0xLmU/KgGzBfGWIz079qxvFsFr4u/se30u7ntbXS9Pnnlub6ORWCI0QG7JU5JTqfr15rH0Kx8QWus+FZbVrox31v5sMSagsaOscEQYbSh29Oeu4Hjb1PPOtVU7J6af197PYw2W4B4ZTqQSqWk2m2lo21u/wCWL6tpau56jq/jzSdFu7i3u4dQY23+teKykZE4zndjGKdonjS01+3mnstM1VIY4DOkk1rtE4HaPn5j06eoqt8RdOvdS8OW62Nq99HBfQz3dmh+a5gU5ZB69jj2qz4fn0jXb+XV7SyvLa7iAiZbuJ4mjyBkBTx0Azj+6PSuvmqe05b/ANf8A+e9jhPqSrKD5tm73s1a11pbm19PN7YmrfFFNPeySPw5rQa4u44WW6smiJVs/c/vPxwvfmuw0jVBq9gLpbO8swWK+VewGKTjvtPavK9U0Se6+LkFvaLDfzR6vFqFxdeXJ51pEoUiJmI2BMDK4Oc46V7FSoSqSlLmei0NM0oYShRoqjH3pLmbu+u2n5PQKKKK6jwAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACoLH/kHW3/AFyX+QqeoLH/AJB1t/1yX+QoAnooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKgvP9Qv8A11j/APQ1qeoLz/UL/wBdY/8A0NaAJ6KKKACj6Vg61448L+HZvJ1vXrCzmHWGSdd4/wCA9f0qfRfFnh/xHu/sHWbG/ZRlkgnVmUepXORQB5+fhZ4g8v8Atga7H/b/APav9qfZ8/6L5m/G3f5fmY8v5emPbvWpH8P9SVomMtluTxc+uMQ7cwNu+X7v3/mHHTjrXodFdLxNRmKowR5jpPw61ZJb6wvvsVpo09jcWptbe4kmjZpDkPEkgzAB1Kh2GelVtG+Fes2+q6Ne6tqFnMVmE+sCIsftDxMTb7cqMgZGc46d69Xop/WqmvmHsYHmOj/DfU9P1SCOd7eazs7i5uILpr2cuxl34Hk8IjfPhmywI7ZOR1/gnw/L4Y8E6do1wYRcW0O2V7flWfJJYZAz+IrforOpWnUVpf1/Vyo04xd0eXWnw810+LNO1G5XSLOayvPPuNW07fFNfx5J8t4QoQbsgMcn2p1r8MNSGjeHbC4u7SM6eNTW6lhZicXSyKhT5Rkjeuc46cZr0+ireKqP+vX/ADJ9jD+v68jym2+F2q3Oi3ljqUttbS/2QNMguI7ye4L4ZWztbaI48qPkAY8nnHWab4c6xqPh/XIrg2dpf30drFETez3Kt5EofLu4GAcYUBcqDyT0r1Cin9aqB7GBFbGc2kJvFjS4KL5qxMWRXxyFJAJGehIH0qWiiuU2CiiigCBP+QjN/wBco/5vU9QJ/wAhGb/rlH/N6noAKgsf+Qdbf9cl/kKnqCx/5B1t/wBcl/kKAGanqdlo2mzahqlzHa2kC7pJZDgKM4H4kkADqSQKq6b4i07VLeee3e4hjt8GU3lpLa7QehxKqnHHXpUXivQLbxN4dm0y7uZLTzJI5IbiIgNFKjh42GeCQyjg9eleX+PdV1a/+Hvjnw54kminvNFsorlb7Ti0Mdwsm7asiZO1htOVyQcg0Ae0MquCGUMCMEEdR6VHmATxxZjEoQsicbgvAJA9OQPyrzTxjKbZrnRNFn1SW80rSmv5LufX5rVIEZn2uzDcZmyrYDKVAABxWfoKy698RPCeuXtzeNeXfg1dQkSG5aNXl8y2JUKDjaSTleh70Duz2CivIvBNz4u1228P+IohdM91c79UabVN0DRHcHjW36RtGcYwA3yEMTms/SpdWuPC/gjVpfEWsG61rWH0+9P2xtjwET/KE+6rDylw4Abk89MAj22ivGb3xDrWkWOr6JZ3t5PBD4qg02O5mu/38NtLCkhTz5MkZY7A7EkbxznFWdWHizRrEW011faZY3mu6ZBZM2om6uIklk8uZTI2SV6Ebi3JPpQB647rHGzyMFRRlmY4AHrQrK6BkYMrDIIOQRXj3ieGe2s/iP4c/tLUp9Pt/Dg1C3We8klkjkZJwyiRiWKNsXKkkdR0OK7axtpdJ+E7f2ZNcT3A0ppoWnnaVt/k5ADMcgZxgZ4oA6LTtStNVtPtWny+dB5jxh9pAYoxVsZAyMg8jg9QSKbbatY3epXen21ykl1Z7fPiHVNwyP8AIrN8NzWWl/DrSp4mC2NrpUUgZTkeWsQOfyFcpof9o6VqWh6vqNi1v/acksV3N5ytva4bzIwVHTawCj61lUqcrSPQwuEVenOTdmtttXZv56K2mt2jv5dStINUt9Oll2XVzG8kKFGw4TG7DYxkbhxnOMnGAasswVSzEBQMkk9K5bxx8lx4Ylix9oTXYBFzg4ZJFk/8hl/yreEmn65p9zDFPFeWz+ZbTeTLkZGVdCVPBHIPcH3rU88zYPG3h65t4p4dRVoppbeGNvLcBnuADCvTqwZT7BhnGRWlPqtla6tZ6ZPOEvL1JHt4sHMix7d5z0GN69fWuC+IOg2mjeG9IttAjjsXuPE2muHIMgEnmxorEE8gKiDGRwoHFZ/iuTxBoXjzRdQvL6DV7m30XWJ7WKGyMPzpHC20/O27J2jt+tAHq8jrFG0kjBUUFmYngAd6r6XqVrrGlW2pae7SWt3Es0LtGyFkYZB2sARkc8ivN/CNl4h1X+xb2c3VzpGqWLrq0tzq/npciSLKvFGOIju4wm0AMe4zV/xk15oHiKz1e8N2/ha3igtzFp181u1lKZdokeNSBMjBkXGTtAOF70Aeh1QXWrJ/EcmhrI32+K0S8aPYcCJnZAc9OqNxWH49stbu7Gxk0RpZYba4M19Y2961nNdwhGG1JlIKkMVbGVBxgsK43R4bDxp8RoLuy1HV4bCfwhaSRNHdvDO+bicAvIp3Fh164J65FAHrtFeP+E9Z1Pxe/hfSdf1a8ht59JuLl5La4a2lv54p/KwZIyrfKnzFVIyWyeBU1p4h1Wx0xNYl1ae70nQfEsunzXDvuFzYvtj8xyPvGKRwN3pGxPU0AetVQu9asrHWNP0u4kZbrUvN+zIEJDeWu5snoOD3rys6z4g1G58PxStfyWniaa91FYYr5rR/JXZ9ngWXIZB5Z8whdpJz6GrljBrlt458E2/iXcZ47rVRbs84mkMHlAxh3HVgDtJ77c96APTdN1Oz1jT0vdNnW4tpCyrIoIBKsVPX0II/CrVeNeHNQ1XxAPAFpf61qSw6ja6q975Ny0b3HlSxhAzj5hjPVSDjjPJp9jrGpz3Nj4av9Zvk00+JL7TZL/7QUuHjijLwwmYYYFicbgdxCYzzQB7FRXC+ALqY+KfGOm/2rdalZ6bfQQ2rXM5laJTArMm48nDMwycnjkk1jTaprPhbXNaGqre32qXVtf3mizRXzyWtykS71hNvnEboCq5CndydxNAHqdFeW2tzPpcPgjVdL8Q32q3WvXMUV5FPdtNFdxvEzySJGTti2EA/IFA6HOaxNKl1a48L+CNWl8RawbrWtYfT70/bG2PARP8AKE+6rDylw4Abk89MAHttFeM3viHWtIsdX0SzvbyeCHxVBpsdzNd/v4baWFJCnnyZIyx2B2JI3jnOK7rwVZ69YXmrQ6vHNFprNE+nx3WoG8mjypEimRssVyqkbiT8xoA6yivJtS1jXPCOoa+2oi9vtVubW/vNFuIr15LWZI13rEbbOI3jBUcKd3PzE8VctpZtE1DwTc6T4gv9Xk16Xy7yK5u2nS5iMDyNOikkR7GVfuBVw2CKAOzsvF2i6jfafaWN358mo20l1bFUba8cbKrHJHGCw60/UfFOkaVqsWm3t0yXkwjKRLC7k+ZJ5acgEDLZHsAScAE15f4E1O41DW/h/qWrXbzzy+Gb2Se4nfJY+bDlmY16lFpeiapdQa7BFBdySCOaG7STerhVcRsCDggCVyO3zZ96ALc+p2dtqVpYTzql1eB2giIOZAgBbH0BH51arjvEl/fxfErwxYWd69tDdWOpNIucozosGxmXvt3E/iap/Du4u7G/vPD3iI3x8QWtrDPdSzag91BdKS6+dFuP7vcytlNq4wOD1oA63Vtc0/RNJvtR1CcLb6fEZrkoNzRqBn7o56VdilWeFJYzlJFDKcdQea8P8RaRFBb/ABjuBdXrNFCmEkunZG32SNypODgkgZ6AADpXRyS6h4R8S6GmmX2oaiuo6HezzWl3cNMsk0CQtGUUnCE7yuEwuD0zzQB6hRXlngZvFOoN4a11HuJ7S+h8zVJrjVBNFcB4iQ0cP3Yir4+VQOMg8816nQAUUUUAFQWP/IOtv+uS/wAhU9QWP/IOtv8Arkv8hQBPRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVBef6hf+usf/oa1PUF5/qF/66x/+hrQBPXlPxf8c6xZahp3gnwUxXX9XG5p1bBtouRkHsThjnsFJ6kV6tXhq4/4a11f7b1/spPsm7/rnFnH/kT9aAIB8LPB3gvw+L/xHaSa/qEjgSSzyMPMkY5O1c4x1POT70mo/CTRNX0a28QfD5pdB1dUE9s0UzbC4/hOSdpzxlfyNdN4hlvNW8b2dlpttHdrpSfaZo5JNil2+6CcHpwfzqXwJLNYTajoF8gimtJPOjjDbgI35wD3AOP++qALfwf8f3XjLQrqx15PK1/R5fs98hAG/qA+B0OVYEDuPcV6DLIIo2dugrxP4d4/4aX8afY/+PX7Evmbenm5hz+OfM/WvZdQz9l4/vDNAHOa94qtdIlt11Bpt1yW8pIYy2duM8D6io9F8WWOqXkltYyyx3Ea72hmjKHb64P1Fc546dk8Q+HGS8jsSJJsXEigrHwnJBIFQ6Hcf8XFbfqNvrUk9nj7XAoUQgH7uFJHOB78igD1W3mE8IYcHoR71IzBFLNwAMmqWmg7ZD2yKsXeTaSY9KAMXV9ahsbSS7v5xb20fUn+XufasfTPGWnX1/HawyXFtPKN0SzxGPzR/s54NZvj9StnpdzKjSWVtfxyXSgZGz1I9Oo/GrN/r2i3OraVbxRw6pcyy7oTCyuYBxlye3r+FAHdWlx58Z3cOvWp6ztNB85z221flyYXx12nFAGFruvQ6Zp817dOyWsONxQZJyQB+pFYVl440i5vYrcTz20sxAi8+JkDn2JqH4g/8iJqH/bP/wBGrWJ4s1LTtS8J2WnWFzDd6hI8KwxwOHZG4yeOncUAep2d0ZgUk++B19RVqsjTVcTxhjuIX5j68Vr0AQJ/yEZv+uUf83qeoE/5CM3/AFyj/m9T0AFQWP8AyDrb/rkv8hU9QWP/ACDrb/rkv8hQBU8QJosmjSL4mjs5NOLorreorR7i4VMhuM7ioHuRRZ+HdF0/TJtOstJsoLKcETW6W6hJcjB3DGGz3znNcx8Y/M/4VdfeQUWX7XY7DIMqD9shxnHasrxR4t1z4dX8/wBu1BvEEE+j3d9CksEcbwTQeXxmMD903md8sMdTQB2h8G+GmFoH0DTX+xLstt1qh8pc7sLkcDdzj15qy/h7RpG08vpVmTpgAsT5Cj7KAAAI+PlGAOBxwPSuGstX8cCaaGyhvtSe40yeRJdTso7aKC8UAxqpTGY2yww2SMD5uaxPEes6jqXwrv8AZ4h1iDVbLUbGK+gvLWGCeAyTwjYQiAFDu3AjIYcEkZyAenxeFdAh1k6vDotgmoly5ult1Em8jBbOPvEEjPXHFH2bw/bXVho4ttPimhLXdlaCJB5ZXhpI1x8pHmEEj++fWsrxjq+o+FfAbT21yLrUWlgtI7u5iXarzSrGJHVcDC784GM4A71xPiS71LwZ8RLfVdR1WXXTYeGNRuoxPBHHJuUxEg+WqjaSBjjI5yTQB6pJoulzQ3kU2m2ckd+267RoFIuDgDLjHzHAA5zwBVaz8K+H9PtRb2Wi2EMQmS4CrbL/AK1DlH6feXAweowMVxOka541kmh+zx32pfbdOmkZr+xjt4Le6CBogjJgmJjlcMWPQ7qrWvjTVo9HttP/ALSvR4gvNTttOuo9Wsoo205pVdy6rGoV1KowQ5YE4yTzQB6Y2m2LXU9y1nbme4iEM0piXdLGM4RjjJUbjweOT61DpVlpOmW7aZosFpbQ2x+a1tgqiLdzyo6Z/lXH+JZ/Eeg3HhvSrDxHNcTavqj28l5eWsLOkf2d2wFRFXIZMg49Acjrhax4l1rQ7vxWNOuLX7Za6vpFkt1LaRgzCWKAO0u0Ddne30HAxgUAek6Z4fsdM0EaMqm5sFDIkFyFdVjJJEeMcooO0A54AGTVq6WxmMVnei3cyHdFBMFO8oQ2Qp67Tg8dOK838UX/AIh0ifV/D8viC4vFuvD11qMF4LeJJrV4SoZfkULsYPgEjcD3zzVay1e+0GLwPJeT/wBq7tAvb5nmt4/OHlwW7LGjhcgfMQT1bjOcUrIpSktmel3Wj297rNjqNw8jPYCQwRZHlh3G0yYxncF3KDngO3HNLo2kWuhaTDp1iG8mLccucszMxZmJ9SzEn3NcHb674j0/SfCviK+1ldQi1+6tYbjTlto1ihW5HymFlAf5CQSXZsqGPFZ1p4r8UJ4Q0zxZc6yJkl1v7BLp32WNY3hN41vndjf5gxkEEL22nrTJPVLqytb5Y1vbaG4WKVZoxLGHCSKcq4z0YHkHqDUOo/2XaAavqotIfsEbkXtwFH2dGxvw5+6DtGeecD0rC8XavqMOt+H9A0m5FjLrM8yyXvlq7QxxRGQhFYFS7YAG4EAbjg4rgvHl/rNx4Y8T+HL7VZLg6TfaU6XwgjV7iKedB5cgC7dysNxKhQRtyMEggHpGgaN4WLDXfDul6fG9xu23UFsqMcnDY4BGSOfXHNSXWl+GNQ8UKbyw0251u3hSdWkhRp0j3MEfJGcBg2D2OcVznxXj1G0+Ed79n1i5iuYPJ8y5jVFecGRVIOBhc7s/LjpjoSKzn0nWJ/jLcWlv4juLadPDNv5l6trC0sh+1XG3gqUA9cLk44I60AegatoOk69CkWt6ZaahHG25FuYVkCnvjI4yOD6jipYNMsLa4W4trK3hmWBbZZI4lVhEpJWPIGdoJOF6DJry6x+IWt63p3hezBure61CxuLu9utLtEllPkyiICNJAyqGY7iSDgYA65HU2Oua8vwx1XUdXt5LXVbGC7MbzQhDKIwxilKcgblCkjpnNAG7deFtAvdMi0660WwlsoGLxW7WybI2JJJVcYU8nkepqWCw0a60M6dbWljNpW1oDaxxo0G0Ehk2D5cAggjFcLaa54l06y8HazqGsDUIvEE9vb3Vj9mjRIvOiZ1aJlAbKkDO4sCMkbaoeGPEeq6pY+HdDsLiDSZdUm1We5vLa0jUhILpkCxoV2b2LKSxU9CSCTQB6XqGh6VqunpYanp1rdWibSkE0KsiFfukAjgjsR0ptpoGj6elqtjpdnbizLm28u3VfJL/AHyuBwW7kde9cJfWOtQ/GLw5ZnxRfyxnS7qR90MI8zbJFwyqgXJDYyACMcYyaYnjXWz8KNP1s3KG/m1wWbyeUuDF/aDQYxjGdgAz+NAHoNvoul2jWptdNs4DZq62xjgVfIDkFwmB8oYgE4645rO1zw8l3pMtppmn6KyXNz593b39kJIbkkfMWAI+cnadxDdOnccXd+MfENhZeN9fkvUls/D95LZWmni3XEj7IirSPjdtUyjgY4DZJ4xteFtT8SHxQLPUU1S80yWzaRrvULKK3MNwGX5FCAZRlJIzkjb1OaANPwZ4T/4RiLUZZ3tmu9SuBNKtnb+TDEqxrGkcaZOFVUHPcknjpWlY+G9E0zUJr/TdIsbS7mz5k8FuqO2Tk5IGeTyfU81p0UAZen+F9B0rUJb7TNGsLO7lyHngtkRyDyRkDueT6nmp00XS4re1t4tNs0hs5fOto1gULBJz86DGFb5m5HPzH1q7RQBSk0XS5obyKbTbOSO/bddo0CkXBwBlxj5jgAc54Apuk6FpWgwPDounW1jHI25xbxBN56ZOOpxxz2q/RQBmWPhrQ9M1Ca+07R7G1u58+bPDbojvk5bJAzyeT6nk0mm+GdC0e8lu9J0exsrmbIkmt7dUZgTkjIHQnnHrzWpRQBkXHhbRptMaxhsLezQWklnFJawpG9vFIMMsZA+QHg4HGQPStO2t4rO1itraMRwwoI40XoqgYA/IVJRQBWuNOsru4jnu7O3nmiR445JYlZkV8B1BI4DYGR3wM1BpOgaPoKSroml2enrMQZBawLHvI6ZwOcdB6dq0KKAM268OaJe3s95eaRY3FxcQG3mllt1ZpYv7jZHzL7GrTWFm11b3LWkBntUZIJTGN0StjcFPVQdq5A64HpViigDJs/CugafqjalYaLYW165JNxFbqr5P3jkDgnv6961qKKACiiigAqCx/wCQdbf9cl/kKnqCx/5B1t/1yX+QoAnooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKgvP9Qv/AF1j/wDQ1qeoLz/UL/11j/8AQ1oAnryj4v8AgbWL3UNO8beClLa/pA2tAq5NzFycAdyMsMdwxHUCvV6KAPGfD3xw8K6naBdauG0XUE+We2uUbCsODhgMYz64PtVbxL8a9KWIab4GWTXtbuj5dukMLFFY9CcgFvXA/EivUda8D+F/EU3na3oNheTHrNJAu8/8C6/rU+i+E/D/AIc3f2Do1jYMwwzwQKrMPQtjJoA5L4P+ALrwboV1fa8/m6/rEv2i+ckHZ1ITI6nLMSR3PsK9CdBIhVuQRzTqKAMHUdAtrxl+22MF6qZ2GWJX2564yOOg/KksNDgtCRY2EFoG+8Y4gmfyHNb9FADIYlhjCL+J9aeQCCDyD1oooAyrrTiQyhBLEwwVIzx6Ed6o2Ph+1spWaw02C1d/vNHCEz+IFdHRQBFbwC3j2jknqaloooAytR0iK7ieOSCO4gf70Uihgec9DweaoWmgWlnLvstLt7Z+m6KBUP5gV0lFAFe1tvs6kty56+1WKKKAIE/5CM3/AFyj/m9T1An/ACEZv+uUf83qegAqCx/5B1t/1yX+QqeoLH/kHW3/AFyX+QoAoeJ7DQ9T8O3Fr4rFudKZo2nFzL5ceVkVk3NkcbwvGeenOcVztgnw9smvpk1mxvnms3ina71Y3bC1VSzoN7sRGFBJA9MnpXbSRRzRmOZFkQ9VYZB/CvIo7S3T4YfFWRYIldLvWFVggyo8joD2oA73TPCOj21iy2FzqT2lxb+VGv8AatyyRxNgjy/3nydBhlwQOAQKUeBdAOk6hp89tNcRam6PeSz3Usk0zJjYTIW3ArtXbgjGOMVyFtrmteEZvDYvtTbVbHUdIuJpLU2yR+Q8ECyjyio3YIyuGLHvntTPD/irxZeLpGpSR6jdWupWrzXqy2McVvZ5hMkbQuPmZdwCneWJDZ46UAeh3Oh2F94ffRtRia9spIvKkW5kaRpB6lick985znmsOXwx4S8NA65qrMDBbNaNeanfSznypCoMZMjnIJCgD1Jxyxzx1j4x8TjwX4Uu7zUZrq/8UtGN1pYxk2cawtI5jXHzSMFH3sqCSQMDBq+Ip/EmqWujWuqXGoWaQeKrSO0u7m0ijkuY2Xcrum3buRww4ABwDigD0LRfCuhw6du0mfUjY3Fs0MUX9p3PlxRNjiNS/wAnQYIwV6DHSnDwD4daxvbW5s5bsXzxyXE11dSyzO0f+rIlZi6lf4dpGOSOSa5s6r4k1a18T6lYa8NPXw/cS2lvbNbRPHcNDErM85K7gGLcBCmBg85qvpPjLXNb1m/1EXLWek6botlq76esCtLKZoZHMRcgkD5DnAznGCOQQDs4PCGkwmyab7ZeS2Fybu3mvL6aZ0lMfl5yzHjaSNvTknGSTWL438Awa9pN7FpltELnU9Rsrq/aaVtsyQvGD6gHy0xgAZ/Wsnwl4l8ValfeH724i1G7s9ViMl8sljHFb2YaPejQuPmZd2F+YsSGzx0rsvF0urw+EdRuPDTL/advEZoFZQwkKHcY8EH7wBX2zQAyw8G6LYSXsiwz3Mt9D9nnlvbqW4cw8/uw0jEheTwOvU5PNGneDdF0x9Oe3gmd9Ljlhs2nupZTDHIFDINzHK4RAAc4A46muJv/AIj6jqH2jUPDUsQ0yU6dp1rLNGGRbq7ZWaVj1xHHJH8ufvNzSeLPE3iPwSdXsBrD6q/9gXGp2t1cW0Sy20sLIpDBFVCh3jGVyCMEnNAHY6d4B8PaXf291aWkv+hsz2kEl1LJDas2dxiiZiiHk9Bxk4xmrA8HaENBh0UWP/EvhuvtccPnPxL5xm3bt2f9YS2M47YxxWbda9qEXjjwjpqSqLbU7G8nul2DLvGsJU56jHmN0ql4r1vVtH8YWbX15eab4aaOJReWdtFMn2hpNpS4LKzRoQUCsuBknLdqAOgv7DQ/GFo9vMy3QsbsgSW8zJJa3Cf3XQhkcZ7HvjvUKeB/D66Nc6Y9k0tvd3CXVy0txI8s8qOrq7yFt7EFF6nGBjpxXmy3+t+HvDXjvxLperGFNL8Q3U32D7PG0dwAybw7EFhkHAKlce9dcb/X/EnifxJa6Xrn9iw6E8dvDGLeOTz5WiWUvMXUny/nAATaeCc9qAOv1fSbHXdJuNM1aAXFncrsljLFdwznqCCDkA5BzWdZ6ZoWk+I4NszNrU1h9nRrm6eSaa3jctzuY5w0py3X5gM4xXNeBvHGpeK/EVn9pRbe1uvDVrqRtlQfLO80qMQeu3CDAz0rk9P8XXsuoeH/ABVqg+13dv4a1i5dUUL5nlTJhQB7IBQB6He+E/Clhp2kadKp05YJ2h0x4rySKZJZNzsiSBtx3YYlckEDpxWjqehl/BOo6Lpzyu89nPDE93cPKxZ1b7zuSx5b1OBwOBivPdWg1x5fh3qOta//AGh9t1qCaS2FtHHHE7W0zDyioDbACw+csTkHI6Hr/EOqandeN9M8LaVfHSxcWc1/c3qRo8myNkQRxBwy7iZMklTgDpzQBV8K+DtA0KbRrOdzLrenaekkds97LKlv8vlySRRM21QTkZAHXAxkitWXwJ4ffSrXT47OS3isp5Li1kguZY5YJJGZnZZA24ZLtkZxg4xjiuVudL1SX4yQ2cHiC4gnTw0fMvlt4Wmk/wBJOOCnljtn5e3GOtQ+HvGGv+LP+Ef0f+0F025uba9uL7ULeBC8gtrn7OFiVwyKWPznIOBwKAO3fwjpUlxply4uzdaWW+zXJvZjLhyC6u5bLqSoyrZHFUX+HHhmS5llksp2SS7F99n+2TCFLgOH8xYw+1WLAEkD17E55W28YeIbzWovCBv4473+2Liwk1lLdctDFbrP8qHKeaQ4U8bRgnb2Fm61vxfAviTQtNmfVb7SJrKRL1IIhcPbTcyAIQImmVUcjhVO5eM8EA7aPw3pEVrqtsLFGg1iZ5r6OQl1nd0VGJBJwCqqMDA4qgngbSF0q701pdTltLuA27RTapcSBIz/AApuc7enUc44zjiuPk8c3N9caLo+h6nq9yLiC6uLu+j0+I3qGKVY/JMTIERgz4YlP4RgfNmut8N6zqJ8FT3/AItR9OmszP5txPEI90MZbbOUGQuUAYj1zQB0cMSQQRwxAhI1CrliTgDA5PJ/Gn145cePPEOmf2kI59Umt5vDV7qllc6taW0TCWFVKsiRYOw7vuyru6cnmui0/WPENh4n8Lw3+rLqUPiGymklge2SJbeVI1kBjKjdtOSCGLHvntQB6DRXk0PizxJZeGdWm1S/vY/EekxxX97pdzZxLF9nWX96YGRcvGyK4DbmYEckHipNS+I2r2954hNq0L211G9v4bOzh7mORLd8nHzZmlUgein3oA9VorynUPFniq6v9fi0Q6jLPoUi2lvBbWEckV7MsSOxmYjKhi+AEK4HPOcVu+HNV1/XPiFr0Vzf/ZNL0iW3CaeIELuZbRHZXcjOFZsjbg54JxxQB2kl1bw3EMEs8aTTkiKNnAaTAydo6nA54pZ7iG1iMtzNHDGCAXkYKMk4AyfeuYtGN38XdT88YGm6PbC2Df8ATeWYyMPr5EY/4DVbxvs1bVLDQZbe4uLYxS3V0lvHvYDaY48j/eYt9UFRUlyxudWEoKvVUG7LVv0Wv/DeZ2M00VvBJNcSJFFGpd5HYKqqBkkk9AB3pY5EmiWSJ1eN1DK6nIYHoQe4rG8JalJq/hSzmux/pKIbe6RhyJUJRwR9VP51Q+HDsPCBtOTFp+oXtjbsejQw3MkcePYKoX/gNOMlJJoyrU5Uakqct02vuOqoooqjIKKKKACiiigAooooAKgsf+Qdbf8AXJf5Cp6gsf8AkHW3/XJf5CgCeiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqC8/1C/wDXWP8A9DWp6ZNEJothZl5BBXGQQcjr9KAH0VB9nl/5/JvyT/4mj7PL/wA/k35J/wDE0AT0VB9nl/5/JvyT/wCJo+zy/wDP5N+Sf/E0AT0VB9nl/wCfyb8k/wDiaPs8v/P5N+Sf/E0AT0VB9nl/5/JvyT/4mj7PL/z+Tfkn/wATQBPRUH2eX/n8m/JP/iaPs8v/AD+Tfkn/AMTQBPRUH2eX/n8m/JP/AImj7PL/AM/k35J/8TQBPRUH2eX/AJ/JvyT/AOJo+zy/8/k35J/8TQBPRUH2eX/n8m/JP/iaPs8v/P5N+Sf/ABNAE9FQfZ5f+fyb8k/+Jo+zy/8AP5N+Sf8AxNAAn/IRm/65R/zep6iig8qR3aV5GYAEvjgDPoB6mpaACoLH/kHW3/XJf5Cp6rR2jxRqiXcwVQABhOAP+A0AWayR4X0caVq2miz/ANE1h5nvo/Nf980q7ZDnOVyP7pGO2Kv/AGeX/n8m/JP/AImj7PL/AM/k35J/8TQBUfw9pcl1ply9rul0pHjs2Lt+6V0CMMZw2VAHOapaZ4K0fR2xp4vYrcKyR2f2+Y28SsCCFiL7QOeBjA7YrY+zy/8AP5N+Sf8AxNH2eX/n8m/JP/iaAMqTwdocnhuz0H7GyWFhs+yKk8ivblBhWSQNvDAE85zyacvhLSja20FyLu8FreJfRPd3s0zrMowrbmYnA/u/d9q0/s8v/P5N+Sf/ABNH2eX/AJ/JvyT/AOJoAxNU8B+H9Yv7m7vbWbdeBReRRXUsUV3tGF82NWCvgccg5HByOK07XQ9NstUvNRtbVY7m9iihuGDHDpEGCLtzgAB26AdeasfZ5f8An8m/JP8A4mj7PL/z+Tfkn/xNAGFa+B9O0u2mi0Se+sQYZI7eEXsz29sWUjKwl9mBnIGMDtirkWmTeHvB8Ol+F7eCSWxtUt7OO5kKRnaAoLkAn3OBk/jmtH7PL/z+Tfkn/wATR9nl/wCfyb8k/wDiaAOc8P8AgHStJ8Ar4XvoIr23m3PeZTYs8rtvZgB935vu9wFXnirll4K0OyjvVNvLdvfwfZrmW+uZLmSSHBHl7pGJC4J4GB3PPNa/2eX/AJ/JvyT/AOJo+zy/8/k35J/8TQBiaR4F0HRb61vLSC5kurOJobaa6vZp2hjYAGNd7HC4A49vWrGreE9K1y8WfVFup1BQtbfbZhBIUbcpaINsbB55HOBnOBWn9nl/5/JvyT/4mj7PL/z+Tfkn/wATQBlzeD9CuNG1XSprHdZavNJPexec4813xuOd2VzgcAgVHq/gnQ9bv5by9guFmuIhBcm2u5YBcxjokgRgHAyevYkdCRWx9nl/5/JvyT/4mj7PL/z+Tfkn/wATQBj6h4K0PUbqzuHt5raWzg+yxNZXMlt+44/dHy2XKcD5T0xxS2Hgnw7pjWZsdMjiFjbzWtum9mVIpWDSJtJwQSB1Bx0GBWv9nl/5/JvyT/4mj7PL/wA/k35J/wDE0Ac/ZfDvw3YT2csNpcN/Z8vm2SS3s0iWhxjEaM5VR7AY6DoABo634a03xA1rJqEcq3Fmxa2ubad4ZoSww210IIBAAI6HuKv/AGeX/n8m/JP/AImj7PL/AM/k35J/8TQBSs/Dmm2OpR6jDFK17HafYxcTXMkrmLfv2kuxyd3OTz71RfwH4fbTrOzhtJbZbGaWe1lt7qWOaB5WLSFZA27DFjkZwemMAVt/Z5f+fyb8k/8AiaPs8v8Az+Tfkn/xNAGM3gbw82hxaUti0dvBP9qikjnkWZJ8kmUTbt+85OWLZOec0638GaPaabPZ2i3cH2ib7RNcxX0y3EsuMb2mDb2OOMEkY4xjitf7PL/z+Tfkn/xNH2eX/n8m/JP/AImgDDbwD4f/ALPtbWG1mtzZyyTQXMF1KlwjyHMjeaG3sWP3sk571qx6PZpoj6TKstzZyRvFIt1O8zSK+dwZ3JY5yep6cDip/s8v/P5N+Sf/ABNH2eX/AJ/JvyT/AOJoA5yL4beGI4mSSzuLndYy6dvub6eVhbSABogWckLgADHTkjBJJ15fDulzXGmzyWxMulxvFZsJXHlK6BGHB5yoAyc1c+zy/wDP5N+Sf/E0fZ5f+fyb8k/+JoAybDwbo2nyXUqxXFzLd2/2WWW9vJblzDz+7DSMxC8ngdScnJoi8FeH4LLR7SLTlEOiSCSwXzHPktg85zluufmzzg9QDWt9nl/5/JvyT/4mj7PL/wA/k35J/wDE0AZN94O0m/1aXUj9stbq4VVuHsr6a288KMLvEbDcQOAeuOM4rQs9HsbDUtQ1C0g8u61J0kupN7HzGRAinBOBhVA4x09am+zy/wDP5N+Sf/E0fZ5f+fyb8k/+JoAozaJu8V22uQXHlOlq9rcRGPcJ4ywZOc/KVbJHXhmGOhFyLT7WHUZ7+OLFzcIkckhYnKpnaME4AG49PWnfZ5f+fyb8k/8AiaPs8v8Az+Tfkn/xNKyKUpJNJ7kUemx2cN7/AGZtt5rt2mZ33SKJSAN23I44BIBGfxzWXpvg3TbCz0SNjNNNo29oZvMZPMkdSJHZVOGLFmODkAnitn7PL/z+Tfkn/wATR9nl/wCfyb8k/wDiaEktglKUneTuT0VB9nl/5/JvyT/4mj7PL/z+Tfkn/wATTJJ6Kg+zy/8AP5N+Sf8AxNH2eX/n8m/JP/iaAJ6Kg+zy/wDP5N+Sf/E0fZ5f+fyb8k/+JoAnoqD7PL/z+Tfkn/xNH2eX/n8m/JP/AImgCeoLH/kHW3/XJf5Cj7PL/wA/k35J/wDE1JFGIYUiXJVFCjPtQA+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorH8W6vPoPg/VNVs0jeeztmljWUEqSB3AIOPxpN2V2NK7sbFFed2HxKuNT0nw3PBaww3V/qaafqNvMjboG2FjtGQRnAIzng1px/E3RJNcFgLbUltmufsi6obU/Y3mzjYJM9d3HTGe+Oaq2tv66f5onmVr/11/yOxoorz698Z+KLPxPbmXR7SHQp9WGlxpN5i3kxOf3yA4Xy889CcA/UJauw+lz0GiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//2Q=="}}},{"metadata":{},"cell_type":"markdown","source":"In Above Question 4 statements were spoken only once and out of that one was corrected which has been marked"},{"metadata":{},"cell_type":"markdown","source":"Let us see one more example of a question from Part 5 of Reading Section , which involves selecting best answer from 4 choices given to appropriately complete the sentence ."},{"metadata":{},"cell_type":"markdown","source":"![Reading1.JPG](attachment:Reading1.JPG)","attachments":{"Reading1.JPG":{"image/jpeg":"/9j/4AAQSkZJRgABAQEAYABgAAD/4RDaRXhpZgAATU0AKgAAAAgABAE7AAIAAAAFAAAISodpAAQAAAABAAAIUJydAAEAAAAKAAAQyOocAAcAAAgMAAAAPgAAAAAc6gAAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFVzZXIAAAAFkAMAAgAAABQAABCekAQAAgAAABQAABCykpEAAgAAAAMwMwAAkpIAAgAAAAMwMwAA6hwABwAACAwAAAiSAAAAABzqAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMjAyMDoxMDoxMCAxMToxODo0NAAyMDIwOjEwOjEwIDExOjE4OjQ0AAAAVQBzAGUAcgAAAP/hCxdodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvADw/eHBhY2tldCBiZWdpbj0n77u/JyBpZD0nVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkJz8+DQo8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIj48cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSJ1dWlkOmZhZjViZGQ1LWJhM2QtMTFkYS1hZDMxLWQzM2Q3NTE4MmYxYiIgeG1sbnM6ZGM9Imh0dHA6Ly9wdXJsLm9yZy9kYy9lbGVtZW50cy8xLjEvIi8+PHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9InV1aWQ6ZmFmNWJkZDUtYmEzZC0xMWRhLWFkMzEtZDMzZDc1MTgyZjFiIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8iPjx4bXA6Q3JlYXRlRGF0ZT4yMDIwLTEwLTEwVDExOjE4OjQ0LjAyNTwveG1wOkNyZWF0ZURhdGU+PC9yZGY6RGVzY3JpcHRpb24+PHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9InV1aWQ6ZmFmNWJkZDUtYmEzZC0xMWRhLWFkMzEtZDMzZDc1MTgyZjFiIiB4bWxuczpkYz0iaHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEuMS8iPjxkYzpjcmVhdG9yPjxyZGY6U2VxIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+PHJkZjpsaT5Vc2VyPC9yZGY6bGk+PC9yZGY6U2VxPg0KCQkJPC9kYzpjcmVhdG9yPjwvcmRmOkRlc2NyaXB0aW9uPjwvcmRmOlJERj48L3g6eG1wbWV0YT4NCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgPD94cGFja2V0IGVuZD0ndyc/Pv/bAEMABwUFBgUEBwYFBggHBwgKEQsKCQkKFQ8QDBEYFRoZGBUYFxseJyEbHSUdFxgiLiIlKCkrLCsaIC8zLyoyJyorKv/bAEMBBwgICgkKFAsLFCocGBwqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKv/AABEIAQACuQMBIgACEQEDEQH/xAAfAAABBQEBAQEBAQAAAAAAAAAAAQIDBAUGBwgJCgv/xAC1EAACAQMDAgQDBQUEBAAAAX0BAgMABBEFEiExQQYTUWEHInEUMoGRoQgjQrHBFVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4eLj5OXm5+jp6vHy8/T19vf4+fr/xAAfAQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgv/xAC1EQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS8BVictEKFiQ04SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqCg4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri4+Tl5ufo6ery8/T19vf4+fr/2gAMAwEAAhEDEQA/APpGiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigClq2sWGhaeb7V7lbW1V0RpXBIUswUZx0GSOeg71LLf20N9b2kkmJ7oO0KbSdwUAtz0GMjrWP4yijuNHtYZ0WSOTUbRXRhkMDOgIIrk7tNW0rxFaaDaiSSa0sL19JuW53oYwEQn+8jALz1XaepNK/ut/1okx2vJL+t7HplFef+HToa65pB8LmMTC3kOsGL74+Tj7T383zP7/z/f7bq7yGaG8tUmt5UmgmQMkkbBldSOCCOoI71UlYlO5Xh1fT57q9t4buJpbDb9qAbiHIJG49BwM+3eodL8QadrMjpYSyl0QSbZreSEsh6OodRuU4+8Mj3rj7nRY4oPG+laHYxxq1hCkNrbqEDExPwAO5J/M1p217p3ibxVZyaVPFeWcGmTxXZifITzGj2xtjo2Ef5TyMUlq7L+tw6HSWWq2OpTXcVjcpO9nN5E+zkRyYBK56ZAIzjoeOoqHUte0/SZo4buSV55FLLBbW8lxKVHVtkaswXOBuxjJAzzWR4RtLex1fxLbWUEVvbxX8axxRIEVB9mi4AHApjalZeHvGeq3GvXMNjDfQwG1u7lxHGwQMGi3ngMCS20nJDkjODgfT5fkUdFp+o2uq2Md3YTLNBJnDAEEEHBBB5Ug8EHBBBB5qzXD3+saV9v0LWkVbDSxqM2+9nQQxSloGAl3H+FjgBmxu4xkEE8/cLp9zo4ury+0qFP7V1F4INcgLWVyTKSNxJAR8fdY5OC2FPNHX+vL/ADF0/rz/AMj1E3tuNQWxMn+ktEZgm08oCATnp1IqevMT5Us1ne6fp8NjrE/h+5j00SSCSVpFI2CORwGf5eRnnaeQOar339hf2Pef8Ij5ef7Du/7V+z9c+V8n2jv5u7d9/wCf7/vQ9I39fzf+Q4rmlbvb9P8AM9Worz1fCmhzayYpdMgkhl0VZpYnXKSy7iPNYH70gBPzn5uTzWLPsvmsW8S6no1tDJo9q1m+tWjT7mKHzDE3moFk3bc4y33Paj+vz/yJTv8A16f5nrlFcX4d02GbxdczajjULuz0+y8q6uYNrhysgZwrcxs2Bnv2PSn39hHe/ES+f7NDPdW+jwyWnnIGEcvmzbWAPAYHv1GT6miXuv7/AMBrVX9PxaX6nY1HPOttbvNIJCqDJEcbOx+iqCT+Ary7wxpVjqclpC+raS15PbSRanaWmnOt5LujIdbpzKxyH53OoywwMZwSa6n1nwnrc9+GM+iaedLcspGZwwMzD2IWIj6mnbW39f1t94f1/X4/ceq0V5XPbLc+JL7+1NY0ix1hdQ/0US6e8t+sW4eV5LCUEoV6hUK/f3A/NU9/I2n6tdQjzEt/DNy+qnYrYMczK3HqArXIxz0FJbJ/10/r5B3/AK/rX8z02o7idLaBpZBIVXqI42dvwVQSfwFeZ+ILGxtIbG51e60druW3e4ex1pWVJGkk3v5EoP7uUbtvyhmwE4HBrpfFMz3Pwvmnlt5bWSS1idoJmLPESVJViepHQmjpcTdtjq6r31/babbie9k8qNpEiDbSfmdgqjj1JArzvUtOtBFr2rfZ4/7Rt/EFusF0R+8iBe3BCt1UEMQQODk5qtqy6Pmf+1hCfEw16Ipu5uBB9qTy8d/J8vb/ALOf9qiOrj52/G3+ZVt352/P/I9RgnS4VmjEgCuyHzI2Q5BwcBgMj0I4PUZqSvMYPsP2iP8A4ST7N/YP9q6p532zb5Hn+d+68zdx08zGeM474o12bw5c/YrC1g0kWX2Nms7jV1lnjZS7DZa25I8xsqMFWBCsm3cCBSv7qf8AW1/68htWbXb/ADseji9gOoNYiT/SFiExTaeEJIBz06g1PXkNkAdDhvLHyv7cufC8Qt5wubiVlLCTYc72YKB0ORx7V0fgi209NaebRdX0W4gNria20XT2hjLbgVeVvNcBwNwAOGIJ644q2tvX8G1+hH/A/Jf5nWXet6fY/bPtVx5f2GJZrj5GOxGztPA5+6emelX+tea+LrXTIdR8XnybWK/uNHhZWCqs0i7nDkH7xHCAn2X0FS6nBp3hzVddhs9OjSwfSrWSa1hkNvGzNPIjSOyDKjbgu2D8qnOaQ9X/AF6f5nfXl7Bp9qbi7k8uIMqltpPLMFHT3IqevGFt9KlXX4iNDnsBBYXJTTrXZZoROwd1ySr4X5WkGBgYIGCK7/xosE/hC3W3Km3kvLIIYWwChuI8bSvbHQiizul6B1t/Xc6iivNNS8O6RZQ+KJrTT7eFtPlglsgiALaP5aMWiXpGScElcZwM5rO8VXNhNrV1cRppNnf2mpwZaTfPqLATIC4bINvFt6feUhv4c8i1aX9dAezPXKK8zutOs1j1PVxbx/2jB4liSK7x+8jQzRAqrdQpDNkDg7jnrWrpFoR4sOgsj/ZtHuZdRQt90ibJiA9gXnA9PLHtRHVJ9/8AJP8AX8Ael/66tf16nb0Vyev6bZat480e11O1iu7c6fdloZl3I2HgxlTwcdee4B6gVzdhpf2DQ9BvNBgVdYurK6iFyeZJj5LMis55YBlTAJ4CgDApN2jf+uo7a2PUKryX9tFqUNg8mLmeN5Y49p+ZUKhjnpxuX8683QWJt4h4A2/2qdNuPt/2Y4k8zyjs+0Z587zem/587+26qtwNJF6jeARF/aP9hXfmfYx83m/ucb8Y/fdc5+fOM9qpqzt/XX/IUdV/Xl/metUV5KItPXw/rlxomtaPOp0WczQaLp7QgkqCrzN5rgSD5sBsOct1wcb7eGdEn8W6fYzaVaPaHSZpWt2hBR5DJHl2XoW/2jzSd1/Xr/kHS/8AXT/M7uiuR0GWSf4QW0kztI50k5Zzkn92Rye9Y+k+F9FuNS0RLjToJY7vQjLdRyJuW5kBi2vID99hvbDNkjcaH8TS6f8ABf6A9Er/ANbL9T0aq6X9tJqUunpJm6hiSZ49p4RiwU56clW/KvMNMk0eXTbV/G7xOh0a2/sxrs5JO0+Z5JPJm3bPu/P9z2p7DRhqe/4gCL7avh+z/wCP0At5373ftHTzc9Nvzdcd6bVr+X/B/wAh20/ruv8AM9IutVtLKQJdPJGTJHErGF9rPIcKA2MHnrg8d8VcryqAXyz241ff9uDaILjzDlt+9s7vfPX3p2k26za/E99rGkW2vpqTGWJdOdtRZRIfkL+bkxGPAzs2BCDxjNO2tvO35f5k3/L/AD/yPU6r2N/bajA81lJ5kaSvCx2kYdGKsOfQgiub8XCw/trSD4k+z/2Dsn877YV+z+fhPL8zd8vTzMZ4z74rjYlg/sXTI/tFha+Hjf6iGfV7Zprbf5x8oSKXTHAfBc4zjjdtqVqVbT+vM9eqMTobprfEm9UDk+W23BJH3sbSeOmcjj1Feay3H/CKaLp3iGxuV1O3ia4swbW3eKIxynMSxqzMSglVFUhiNr8cYpup6e+lX8liWZ4IdLsBqLj+OH7VIZ2b2ILFvYtRu0v67/5X9Q6N/wBbpf8ADHqFFea602gf2bbJ4XuNKg0M36jUpPIM2nrmNgm5VdU27tm7BwCVLVXmstNHhlCfEGhyWK6g72yz6cy6SzeUR5WDIV27ssGDlQ+4AZGKO/8AXYR6lRXP+FLtZ/BsUsVh9lijEqxQW8zSoyKzBTExAJRgMrwOCMcYrz3S5tPfxBpl3pw0e2a5tbpJoNO3yzLmHftubgkeZISu7ayhgQTk4JpS92/kC1sexUV5Vcafa2nh7wt5n9k2Gl3dp5t9NqVp51vNcmNCjTfOmWI34ZyRnHfbXY+GYXg8GyJpl9Dff642kkNu0MI5O1YwzNmMH7p3FcYxxiql7t/II6pPudISACTwBWXpniTTNYkjSwlmZpY2lj8y2liEiLty6l1G5fnXBHBzxnBrhtKt9Eun0WDS4oZtQkikXX49oaR1MLbxdg8lvO24385zjjdVbStMsbCz8Oz6XZWFtq0/hqb7FJ5SI8lzsjI2nHLfM59cFvU0NWv/AF0f+Q7XWn9a9T1aivKtEtrE20s+n6xpMlx/Zs/2y20/T3jnkJj/AOXpjK53hucyAMTu55atfw1p1npev+G20+3jt2vtEke7aMYNw48ghnP8TAs3JyfmPrQl71v66/5E30/ry/zO+orhtf1C00zxTrY1CdLc3uiJHaq5wbh1abciD+JhvX5Rk/MOKyI9I0/VVuv7StIrryPC1o8Xmru8tts3zL6MMcMOR2PNTe0XLt/wf8ire9y/19n/AD/A9Qoryq6sbbVdJ1+/1KBLq7t/DtrPDNKNzRS+TK3mKf4WyAdw54pNYRL3Wb4eINV0mykMMLac2oWLzT7TEuWtmWVCH8zdwgL7tv8AsiqatJxfQmPvRUu//A/zPVqK8/j/ALCTX77/AITKSCTV1uIf7PkmXbctFsTYYFX5xmTfkJzncDWXYwrP4i3ajrOk2mvJqjZi/s531EoJcqocS5MTRY52bAhJPQmhK7SDoeqUV5npZsLPxl5NnJp+pz3E1wk1zaB4dTtAfMLeevJlQYVQW287MA/LVTRbzT9Lt9RisINN1iMaW8k17o0klrKwULhbpFJKyklzv3b+H+Uc0lqrlW1ser1Tv9WtNLiklvnkiiij8x5PJdlAyF+8ARnJHHXvjFeRObKD+3RpMujxxT6GzlNCjZIQySjA8wHErqHwXAUjIyBkVu+LtPs9MnvLXTbWG0gXRciKCMIoJuUJOB3NHbzv+F/8iJSsn5W/G3+Z6ZRXExWZ/wCEwk0BkY2qXn9tD5fk2EcLn18/L/gK6nUJdUjeEaXZ2dypJ803N20JQcfdCxvu79cULZf1/Wt0U9/6/rbUu0Vktc+Its+3S9LJVgIAdSkG9cnJb9x8pxjgbvr3oFz4i8wg6Xpezysg/wBpSZMmPu48j7ueN3XHOO1AGtRWStz4i/0fdpemDcf3+NSkPljP8P7j5uOedvPHvVnTpdUlWT+17O0tWBHli1u2nDD33Rpj9aALtFRwXEFyrNbTRzKjtGxjYMFZTgqcdweCO1SUAFFFFABRRRQAUUUUAFFFFABRSMyohZ2CqoySTgAVBJqFlFFbyy3kCR3TKkDtKoErMMqFOfmJHQDrQBYopnnR+d5PmL5u3fs3DdtzjOPSn0AFFFFABRRUdxcQ2sDTXU0cMSfekkYKq/UmgCSio4riGdpFgmjkMT7JAjA7GwDtOOhwRx71JQAUVFJdW8MhjlniR1jMpVnAIQdWx6D1p8UqTRJLC6yRuoZHQ5DA9CD3FADqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqnZaclncXVwZpbia6fc8ku3KqPuoNoA2rk478nJJq5RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBTttOW31C6vWnlnmuNq5k24jRc4RcAcZLHnJ55PTFyiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAw/Fjt/ZdtbjIjur63gm6YMbSKGB9iPl/wCBVzniwXOv65eWFppV7fQ6famOOW0aAeTdvh1Y+ZIvKKEIwD9812mqadHqumy2krFN2GSResbqQyuPcMAfwqS0tUtY22xwrLKfMneGLYJJMAFiOeTjuSfelbT+u3/D/MOpyr6y2p6X4Y1pFMF098lvNF3BYNHNGfowzj1QelXdaV9Q8WadpNzcXNvYyWs05+zXEkDSyqyALvQhsBWY7c89e1abaLbHUbe4RIo4reSSdYY4goadwQZSR1OC3/fRPpU+o6Xp+r24t9Wsba+hDBxHcwrIob1wwIzyefen5/1t/TD+v6/I5ILDqWsXVjc69efYtP06OW2uIb4xGQlpA8ruhAk27FGDkDnIJNZK3Wo61ZXd1f6hf280Phy3vVW2uHgVZyJjv2qR6D5T8p4yDgY7660LSL6G3hvdLsriK1x9nSW3R1hxwNoI+XoOnpVh7K1lkleS2hd5oxFKzRgmRBn5WPcfMeDxyfWh3s1/XX/P8Puast12/T/L8fv8/wBYe60bTb5odXvw9xoZupZ5bln2Sq6jzEBOI/vnKqAvA44pPFCtp9vqun2l7dXdpLpqXUouLhp/Lk85QrBmJKhxu+UYX5OAOa7PXNCg1nR7qyXy7eSe3Nus4iDGNCQcDpxwOM9qmt9B0i0tJrW10uyht523zRR26KsjerADBPHU03Zv7/1/K6+4izs16fp/k/vOPW5utQ8VS6Td3t3HYTapcqWiuXiYlIImSFXUhlB3O+FIzsPbIMuqmN3h0vTr3UdTNrBJI8ra19khgUOwLSzx/vGZdpQDD9Pn5+auuudH0y9tpre8060uIJ5PNlilgVlkfj5mBGCeByfQVFJ4e0WaO0SbSLCRLL/j1VrZCLfp9zj5eg6Y6Cptol/Wxff+upwWjPNe2um6xc3d1JfHwvLIZhdOAzAqN20EKTznOOuD1AqW2uptQ0XVL3UtYvbS40mwt5bUx3bRhQbdZPOdc4l3Sbh84YfIRj72e7/sTSj5GdMs/wDRg6wf6On7oPw4Xjjdk5x170T6HpNzLay3Ol2U0llj7K8lujGDGMbCR8uMDp6Cn3/q2rf6iWjv/XT/ACOCv5r6e18TatLf6hBd6abeW2ijupI44W8iJ2BjBwwJJyrAjr0yc+lg5Aqu+n2Uq3CyWkDrdY+0BolPnYAA3cfNwAOewqxTbEFFFFIYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUVi+KZ5I9Kht4mKG9u4bVmGchHcB+R0O3cAfUiuavtBS+8aakkPhjQdVjgtbVE/tJ9nkjD4VB5MnHHt0o6XDrY7+iuD0e4e08O+FrxN6TxXI0y6R33Eglo2QE9VWRVKn0X3Nbmr3N7deJLLRbK/l05JLaW6kuIEjaRtjIoQCRWXHz5JxngetPrZf1bX8g/r9PzOgorlC+tX2s3GkrrbWb6bZRSvcQW0ebmSQvgsrhgEAj6Lgkk8jGKxh4h1vWbO5vLbU204Q6DBqSxQQxuDK3mkgl1J2HYMgYPAwRzlPRN9v+D/kNJv+vT/M9EorgtR1bXdJsbx21f7RPNpH22MyQRhLaUOoIQBQSnz9HLEbetQ+K7jULGx1PSb3UH1GKawF2skkSI0TCZFKjYANh3DGckYOSezas7ev4X/yI5lZvtb8bf5nodFcLBqN/c+JbrRrS6/s8XGpXDPdW8EXmBI4YTtG5SpYlx8zBjtUj0ItaxcapaNaabHrOpXN95TPs0vT4fNlG47XkeXMKAAYP3NzA7cfdqb6J9/8rld/662OworzOy1rUDHZeKLu5llnj8My3UlqqRrHI6lSc/KWGTycN244yDpWd34zeKZ7a2vpWmspHRtTFmsUc+AY/L8ly20nIw+f4fm4Oat/Xza/QOtv62T/AFO6ormfCmp3E93eWOoXepPdRKrm21S0jimjGSCwkiAikQ4GNuSDnJ5AHTUgCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigChrWm/2rpb26P5cyuksMh6JIjBkJ9RuAyPSqtz4ZsdRujfXgvILyWNFm+xancQqducD926hsZOCRmtmigDIfQovP0uGGOOLT9NJljiUnJkClVz7AMxyTknB7c2dT0ay1dYvtizB4WLRy29xJBImRggPGytg9xnBwPSr1FAGLP4Q0S4ggha0eNIIjCvkXEkRaMnJRyjAupPJDZBJJPU1abQ9NZrg/ZVX7TarZyBGKgwruwgAOABvbpg8/StCijyDYwfEfhqLV9Du7a0jjW6lsms4nlZtoQkHB68fKOcE1LH4U0eOzubZreWVLpVWYzXMsrMqnKqGZiyqDkhQQBk8c1s0UCsjKufDWlXSyiS3kVpbj7UZIbiSORZSuwsrqwZcqMfKRkZHc1C3g7RGSFRbSoIVZMx3cqGVWbcwlIYGUE5J37sknPU1t0UDMm28M6TZ/Yha2zRLYxPDAizybRG3VGG7Dr6BsgcYxUNv4N0O3hkhWzeWJ4WtxFcXMsyRxMMFI1diI1IAGFx0HoK3KKAM/TNCsdIeV7NZ2lmADy3NzJcSEDOF3yMx2jJ4zjk+taFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBk+JL2Wz0tEtn8ue7uIrVHBwU8xwpYe4Ukj3FZkdr/bmv6jYXV3fRWWlCGGKG3vJYWkZow5kaRGDtwwXBbHBJBPI19f0+XUdKKWpAuYJY7iDccAvG4cKfY4wfY1Dd6H9vuk1G1vb7R72SJUma2MRLqOQrq6uhKknkDPJAOKP6/r8Q6/1/XYo6il94e0O2uW1Ce+NldoGMn3pLd5AhV+fnZVbIbgkoM9Tm9rupXdtc6fp+l+Ql5qErKktxGXjiVELMxUMpY8AAbh1znjBq3PhqNdLttItFle3mu1uL25ll3PJtYOSxPLM7Ko4wAucYwBWlq2kR6tHATcT2lxbSebBc25XzImwVONwZSCCQQQRz6gGjp/XkBlS6j4gbULbRY5NNi1AwyXE92YZJIvLVwq7Yt6kM2ckbyFweWzmqEHifXNVuLe00+Ows7hrW5ed7iN5lWWGYREKFZcqTkgkggY4PSteTwsGW3lj1jU47+DeP7QDxtK6ucshVkMe3IUgBBjHGOcy2HhjT9NuIJbQzKYLaS3AZ928O4d3YkZLlhknPc0un3/rb9A/4H/BMOx8U61JZ2d9ex2Ih1HS5b2CCJH3QMiqwDOWw4Ibsq46c9aq6v4h1228NytqTWsbalpFxPbtZB0e0lSHftLFjv4JIYBcFehzxvXHhiCHQ7e2s2mkk0/TpbO2DMvzhkC/NwOflHPA61S03wSjaDFbazfX1xIdNNkI5ZIz9kV0CyCMqvJ4A3MXPHXk5JauSXy/H/gFRaTi/66f8EqjxFew6tJp9qIzdXLWcEEs7SSIheF5Hdl3gcBDwu0k4ye4v6rq2r6Pp0C6jqOjW9zJMyLP9nmkM4x8qx2ytvZyTgqHOMZ5zgWpvCNjNJNKs9zFcOYGjnRl3QPEpVWTKkZwxByCCCRjFNfwoWaCca7qov4WkIvd8TOyuFDJsaMxqvyJwqDkZ6ls09W/X+v6/MiKskn/W/wDwDB0vxHq+rX+i301xDbwKt8t1AttKnm+S4XdtZwUJABCsCV5HOeLOgeMNR1bULBntZZLPUASI00i6h+yAqWVmnceXIONuQF5YYyK1bHwfZ6cLQWt5ej7LPNKDI6yGQStudGLKSVJ7/e/2ql0vwyukzQiDVdRks7bItrF5EEMIOQANqh2CgkAOzAccZAIS3G/L+uxt0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRWbr2oSadpe62x9onljt4SRkK8jhAxHcDOSPasnyNT1DxJf2aeIdQs4bOC32i3itjvZg+5m3xNydo6YHtQB1FFcmuvahaaUtzfSpI2n6iLG9KIAJkZlRZcfwkB0YgcfeHpjY1nVpdOe0trG2S7vr2UxwRSS+UnyqWZmcKxAAHZSckDHcHS4GpRXPSa/qvn22nw6ND/a0qSSywy3u2GONGC7/MVGJ3EjaNgOM5C4xVVPGN3evbw6Ro6zXMttNNJHdXXkiJopBG6EhWyd2cEAg47Dmjpf8Ar+tAOrork7Lxnc3MEF1caQLe0vLCS9tGN1ukYIqkq6hcJkNkEM3HXHSq2oeMdSi0CeefThpst1pc93p8qziZlZIt+2RSoCtgggAuDg5I6FN2vfp/wf8AIcVdpd/6/U7WiuSHiueC+mtFia6vJPssVtFJKqRvJJGzk5CZQAIxJO7pwOxvXet6vZaT9ou9Js7aVHYTyXGprHaxIOQ/m7N2DkADyxznOBglvS/kSndJ9zforitO8Y32s32jXFpDax6dcJdi6xdeYMwsFLIwT517g5XIbkDFGmfErTr++t0aXTfs92rtB9n1JZrhNqF/3sIUbPlU9GbBwDjNAztaK4+18R61fa9oPmaellpmpLLKhWcSvIvl7kEgKDy26HClh1BPHPYUWa3EmnsFFFFAwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDJ8S2U15pSPap5k9pcRXcceOXMbhio9yAQPrVWTS9XbV7jVNF1Ozto72GINFe6dJIy7Q2DxKhH3uQRkV0FFHkHW5zF7oLx6LBo0ElxPJe3gnu7tl7CQSSMccLnGwAdMjsCa09Z0mXUXtLmxuUtL6ylMkEskXmp8ylWVkDKSCD2YHIBz2OpRQBzsmgasbi31GLWYBq0aSRSTSWO6CSJmDbBGHDDaQMHeT1znPDtL8KJpd5b3CXjymO1mhkMiDdK8soleTIOB82flAxz7V0FFHl/X9agcvP4Ye08P2UMVw076XpU1oqrFzOWjVQQMnH3OnPWqNn4S1HVfDlvHrmpKzjSntbZBZmNoDLEFZpMud7gccBBy3HIx21FG7bfX/AIP+Y7u6a6f8D/I5ibwczXkl7BfiO7VreS2doNyxPEjJ8y7huVldgRkdeDnmkvPC+qX01je3WrWVxf2cryRm40zfbpuC42R+YGVl2Ahi7H5m7EAdRRR1uJaKxy2n+D57D7JnVFuTDcXTytNbczRztuZflYANn+IDH+zVjS/D2o2NvDp1zq8dxpFvG0MduLTbK8eCqpJIXIYBT1VUJIBz1B6GigOtzmdP8LX9rqGlSXOsrcWmkq8dtAtrsZlKbAZH3ncwHcBQeeOeOmoop3uJJLYKKKKQwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI5pvJ2fI0jO21VXHoT3I9KZ9ol/585vzT/wCKouP9fa/9dT/6A1T0AQfaJf8Anzm/NP8A4qj7RL/z5zfmn/xVT0UAQfaJf+fOb80/+Ko+0S/8+c35p/8AFVPRQBB9ol/585vzT/4qj7RL/wA+c35p/wDFVPRQBB9ol/585vzT/wCKo+0S/wDPnN+af/FVPRQBB9ol/wCfOb80/wDiqPtEv/PnN+af/FVPRQBB9ol/585vzT/4qj7RL/z5zfmn/wAVU9FAEH2iX/nzm/NP/iqPtEv/AD5zfmn/AMVU9FAEH2iX/nzm/NP/AIqj7RL/AM+c35p/8VU9FAEH2iX/AJ85vzT/AOKp8M3nb/kaNkbaytj0B7E+tSVBb/6+6/66j/0BaAJ6ZLIIYXlbJVFLHHtT6gvv+Qdc/wDXJv5GgA+0S/8APnN+af8AxVH2iX/nzm/NP/iqnooAg+0S/wDPnN+af/FUfaJf+fOb80/+KqeigCD7RL/z5zfmn/xVH2iX/nzm/NP/AIqp6KAIPtEv/PnN+af/ABVH2iX/AJ85vzT/AOKqeigCD7RL/wA+c35p/wDFUfaJf+fOb80/+KqeigCD7RL/AM+c35p/8VR9ol/585vzT/4qp6KAIPtEv/PnN+af/FUfaJf+fOb80/8AiqnooAg+0S/8+c35p/8AFUfaJf8Anzm/NP8A4qp6KAIPtEv/AD5zfmn/AMVR9ol/585vzT/4qp6KAIPtEv8Az5zfmn/xVH2iX/nzm/NP/iqnooAg+0S/8+c35p/8VR9ol/585vzT/wCKqeigCD7RL/z5zfmn/wAVR9ol/wCfOb80/wDiqnooAg+0S/8APnN+af8AxVH2iX/nzm/NP/iqnooAg+0S/wDPnN+af/FUfaJf+fOb80/+KqeigCD7RL/z5zfmn/xVH2iX/nzm/NP/AIqp6KAIPtEv/PnN+af/ABVH2iX/AJ85vzT/AOKqeigCD7RL/wA+c35p/wDFUfaJf+fOb80/+KqeigCD7RL/AM+c35p/8VR9ol/585vzT/4qp6KAIPtEv/PnN+af/FUfaJf+fOb80/8AiqnooAg+0S/8+c35p/8AFUfaJf8Anzm/NP8A4qp6KAIPtEv/AD5zfmn/AMVR9ol/585vzT/4qp6KAIPtEv8Az5zfmn/xVH2iX/nzm/NP/iqnooAg+0S/8+c35p/8VTZLt4o2d7SYKoJJynAH/Aqs1Bff8g65/wCuTfyNAE9FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEFx/r7X/rqf8A0BqnqC4/19r/ANdT/wCgNU9ABRRRQAUUyaaO3t5Jp3CRRqXdj0UAZJrxTwH4xup/iPHqN/LfC18TNMixXEMixQFTm3CMRtO6MEfKTya3p0ZVIykuhnOootJ9T26ivJtC8f8Aiee00K9v5dLlTW9Pvp0iMZgSCS3GVLSFj8p7njApbb4geILXQ7yfUpInvNONpdXcEloEP2aRtshjZHZHXHzK4PY5FW8LO9tP6dvzJ9tH+vvPWKK8o0r4na1qGppZm1gZ2km1ACND82nLFvj7/eZsLn9KhtPiP4n/ALBudSuYbVlm0WXUrfMaJ5TrjACiUtJHzgsQCCOevB9VqeQe2geu0VzMFxqh+H13e67qkNvczWbzi5tbdgtmrR5BAyS23rnv6CvLdIm/sT/RbhpTdahol20V/p2qNcW+oFISxlljcbo37hhjk4pU8Pzp67BKry20PeKK8asvHniDwv4atkumttSX/hFrfUrb92yNGxeOIByWO8YcMx46HpWlP4/8SaXpWoxXlvFNdR3VpBb3DxxoyCckEyRLKwGMfLllDZHPBqnhZ9LC9tE9TorxzWvEHii+h0aOfUIdOmtvE0dm03lL+9DRlkMqJMQu35g0ZPzZU5GOfY6yqUnTSu9y4TUrhRRRWJoFQW/+vuv+uo/9AWp6gt/9fdf9dR/6AtAE9QX3/IOuf+uTfyNT1Bff8g65/wCuTfyNAE9Zmvzajb6U02kT6fbzIwLyaju8pU7/AHSMHpWnXL/ENb248G3lhpunXF/PeoYQIMfu++45I44xWdR2g2deDgqmJhB2s2t9vxMW28QeN7nXtR0vz/DEUlgsLNI8c4WQSKSNvz9sc/WofFfxE1Hwv4h0zT7mCIgW6SahIsLsjFj8xj5yAoSQ89enYmspbB73xJqGo694B1G/jnht47dXWMmMxoVf+Lvx+VR+OtCuPFU+o63dadqFmbLTYI7a3+ziR5ZWaT5eAeBvAJXp17cefKdTkfK3e/ntqfYUsNg3ioKtGPJyq9uX4morSzberfRW+RuaV4p8U3viuC2CxTadJePGCLB0byVB3SMSx2jdhRkfMc49K0Nc+IN3oe5rjwtqBi87yInaSNfOcnChFyWOe2Bn2rnPD/g3VNL+KKXGyDy/s32qSYifB3zNlc79vmYPQ/L0O3PNdZ4y0nVJ9T0TWtGto7+TSZpHexkkEfnB025DHgMuMjPrWsHV9m3re/qcOIjl/wBcpwSi4uP+HXVq7TS10V3ot7E2m+J9Uv8AT71m0ARahbqrxaf9viaSVSSMk9EwQwwfSuYm+JeuyeLtP0iy8PQmZ2mWezXUYJJHKpkDcrYjIwSd3XoORXb6CUubeS+k0ZtKuppD5scqr5jHjkleoOK4Lwz4U1CL4iW80UVwmj6LJdeVLdWqxPI8u4FQwJMq85DkAcVVT2vuqLevp39OxjhFgb15VacVyp2Tct+Vqyak0/etbrrdNWR6XYT3FzYQzXtobO4dcyW5kDmM+m4cH8KsUUV2rY+Zk022lYKKKKBBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVBff8g65/65N/I1PUF9/wAg65/65N/I0AT0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAQXH+vtf+up/9Aap6guP9fa/9dT/6A1T0AFFIzBFLMcAdSapvqSBvkQsPUnFAFm4t4bu2kt7qKOeCVCkkUihldSMEEHggjtUEmlafNb21vNYWskNm6PbRtCpWBkGEKDGFI7EdKfBexzNt+63YHvVindoVkUI9D0mGO2SHS7KNLRHS3VbdAIVf74Tj5Q3cDr3qGx8L6Dptpc2tho1hb292MXEUdsgWYdMMMYI5PB45rVJwMnpVOTUY1bCKX984p80u4cq7C2+k6daXCXFrYWsM0cAtkkjhVWWIdIwQMhR2XpVWDwvoFr9rFtomnxC+G26CWqATj0YY5HsatxX8cjbWBQnpnpVqjml3CyGrFGkIiRFWNV2hAMADpjHpWXZeFdA06S4ew0TT7drpSk5itkXzFPVTgcg+nStaqst/HG21QXI646UlJrZhZMYNF0tduNNsxttvsi4gXiD/AJ5Dj7nA+Xpx0qG28N6HZ6ZNptro9jDYzkma2S2QRyE/3lxg9uvoKnj1GNmw6lPfOauA5GRyKfNLuFkZi+GtDTRxpQ0ew/s5W3C0Nshiz67SMZ9606M461474g+NWpalr82g/CvRBrt1BkT30uRAh6ccgEf7RYA44z1pNt7hZLY9iorw5vFHxw0pftl1oekalCvL28ON4HthwSfpmu6+HXxR0r4g28sMUUmn6vaj/StPmPzR84JU4G4Z46Ag9QOMoZ29QW/+vuv+uo/9AWp6gt/9fdf9dR/6AtAE9QX3/IOuf+uTfyNT1Bff8g65/wCuTfyNAE9FFeb/ABe0HSptEttSksYWvZNUsIHn2/O0bXCKVz6FSR9DQB6N5ieZ5e5d5G7bnnHrinV5hd6RPpHxi02x8Gw6dpxPh66JM8LPGgNzDk7FZSxJCj7w6k9sFR8U7mTRdGjkSysNV1G7vLWaWVJJreD7K5SRwikM+TswuV+9yeOQD04nAyelIjrIgeNgysMhlOQa5Pw54kn8TeEdVmvIkSe0lntWkijdI5wqgrIgfkKVYcc4ORk4rjvBPiHXvDfwx8GX99Hp0miXCWlk8MaP9ohEhWNJd+7a3zEEpsBAP3jigD16ivL1+KtxPdG9tFtZdOXU/sP2FbaVrp4xN5LTiQHYMHLbNv3R94HitCz8X61qmqa/p32nTdMvrET/AGfTbm0l8/y0OEn37wsiMOflXC5AJNAHoFFcj8L9Q1jVPhxo+o+IbuG6nurWOUSohViCoPz5JBbOeRge1Yun/Ee7k8UWmnNc2Gq2uoW9zJBc2VjcQxxvCu7aJXLJOCM8oQRxxzQB6RRXm+ieO/EVxYeD9X1a20waf4mlS2+z2yyCW3keF5FfezYZT5Zyu0Fc9WpkPxB1uXRvEV5s09dR0iKWdtCe2lS5ijR/vFi+JA0asQyKBkqMmgD0uivPr34oR2et6urQRtpFlpslxb3QJzPPHHHK8Q7fcmjwOuQ3pxV1H4i6rb30mlhtNstR0/T4Li9S5t5pVmuJELeRGEb5AMffYt94fKcE0Ael0VwOh+N9a8TeK4LHTrK1s7L+zLPUrg3iv5yCUvuiCggbhtxuPAweDkU/W9S8SR/GLRdL06/tI9NuNPuJ3glhZt2x4gSSGHzYY7T0GTkGgDu6K83Xx/rv/CJw+Nmt9PPh2aZf9DCv9qW3aXyxN5m7aW5DeXs6cbs1pfEnUde04eHB4evbe1+16zBbT+dEz7w2cDgj5eDkdTxgjnIB2iyIzMqspZOGAPK/WnV5JFf+JdJ8VfEfUdLOlsbBrW5uFuI5D9oZLGIsiYYeWMA4Y7+oGO9amofEyS41CGz0eWysGGmQahLJfwSzhjMCUhURlcHCklzkDIwp5oA9Horjrzx28HwxtPE8WnMt3epAkNjOxTbPM6xhGOMgBm5OOgrO1Pxh4m8O622m6vHpV2Tot5qaT20UkQLwhcRlGduPm5bPPouOQD0KiuOPjO5WTwT5kMCx+IYne6bn9zttGn+Xn1XHOeKwdB+KV3rF5o10FtJbDWLnyVs4bab7RaIwby5HkJ2MDhQwCrt3dWxQB6fRXlU/jrxBqfgLxXeQ32nabq+m6fcTNprWkq3VgVViNxZ8OSFJDhQucdR1l/4Sa50fVNDvPEyW93LD4cvdRe6t/NRljQQsV2FyrEjqSOo4xzQB6hRXCQeK/Eennw/feIYNNOn69PHbLBaK4lsZJULR7nZiJRkbSQqYJyMis7S/H/iO40Pw/wCIb+20tdN1bUk057WFZPOjLymJZA5bb94DKben8XagD0yiuV8TXqQeOPBto9skv2q8uQshkdTEVtZGyApAbOCMMCOfXmq3gXxbfeJbi8TVJrK1urfPnaQLeSO6sjuIXezsRICB95VAPbNAHZ01JEfdsZW2nacHOD6Vydvruu+IPEWrW3h86faafo90LOaa8geZ7mbYruqhXTYAHUbjuyc8YrirDX9c8LaP4216zTT5dM07xFdS3FvMjmadMpv2OGCoQDxlWz7UAex0VxFx4m8R6pfa+3hiLTVtNBmNs63yOz3kyxrI6qysBEAHUBiHyc8YrDk+JFkmoXHiWLTS8f8AwidrqEQ81hI5lnkVYSCdgG4AbtueTyQAKAPU6K4fXPE3iDwjoAv/ABBJpM895PDa2sNtBKiQSyNg73LsZFUZOVVScYwM1a8G+LLnXdU1PTb1oLlrJYpIr60tpIIZ1fdkBXLEMpXkbjwyn1wAddRXK+EG/tDWPEmrTfNM2pPYxkj/AFcMAChB7bzI/wDwOqmiaJYazqPiWXUIWkmTVnijmWRlkjXyoiArAgryxPHrUSk00l1OqhRhUjKc5WUbbK+7t3R2tFcz4cX/AISTwK9nrn+mxSm4s5XkH/HxGrtGGPuVHX15qTwFqFxqfgXTLi+lM1ysbQSysMGR43MZf8SmfxpxlzRUjKtSdGrKm902vuOioooqjIKKKKACoL7/AJB1z/1yb+RqeoL7/kHXP/XJv5GgCeiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCC4/19r/11P/oDVPUFx/r7X/rqf/QGqegChqUhysY6Yya838cz3WpanDo2nXLQPBbyXkrK5UkgEIv4n+Yr0nUYiQsg5xwa41PBtjNq1/f6wE1CS6kDIHjwIVAwFHJzxjn2oA0PDmqjWfD9nfA/PJGPMx2ccN+oNdZbyGW3Rz1I5rj/AA74fOhLdW8Fx5tvPOZYYdmPJz/DnJyOnpXYwx+VCqeg5oAr6jIVhVBxuPNeZ+KtWltfGdvZza1Npdk1kJGeNc/PuYdMH0H5V6bfxGSEMvJQ5/CuE1nRdak8WQazor2GY7TyCt2X67mJOFHuO9AEPgnVLrULnVI31D+0bO3kVbedwFds5zkdcdOTXodlIZLYbuSpxXEaBoWoWmtXuravNbNdXaqhitFIjUDvzyTwP1rubSIw24DcMeTQA29kMdsdvBY4rhfE2pX39raZoelT/ZZr8s0lxtBMaKMnGe/B/Ku8u4jNbkL1HIri/EOg3GpXFnf6ZOlvqNi5MTSAlHB6q2Ocf/X9aAG6bput6brAWTUm1DTXQ7vtOPNjf2IHIrsNOkLQsh52niuL0/StZn15NU165gTyIykNrZltmTwWbPU8/wAq7awiMcJZhguc/hQBwHx78R3Hh34U3hsnMc+oSpZCRTgqHBLfmqsPxrAXQf8AhAfh3ounaLIbS6nuolvLiMDdK7I24n8QMegArf8Aj34cuPEXwpvBZIZJ9PlS9EajJYICG/JWY/hWRY6ifib8P9JvNEuLYXlvPHJdRzMQI5UQhlOAT1II9RQBoXc2r+FtX043GqyajYXs4t5EnjAaNj0II/zxXIfFa2TwT418O+P9JUW8/wBtW3vgnAnUjv7lA6k/T0ruV0HWtV1WyuvElzZCGyk82O3slbDP2JLelcN8VrlPGvjTw74A0lhcT/bVub4pyIFA7+4QuxH09aAPf6gt/wDX3X/XUf8AoC1PUFv/AK+6/wCuo/8AQFoAnqC+/wCQdc/9cm/kanqC+/5B1z/1yb+RoAnrK8ReHrTxLpsVlfyTRxx3UN0DCwDbopA6jkHjKjPt6Vq1wvxIute0XT4dT0bXprRZb60tDbfZoXQCWZY2bLKWzhs9cZoA6Z9AtX8XQ+IjJN9rhsZLFUDDyzG8iOSRjO7KDvjGeKxU+HWnW1lbJp1/f2l3Z3txe216joZInnZmkXBXayHdjaQeAOcjNZNzruteHfiRY6RPPqXiGKbRri4+zwQQq7yiaIK38CKApYZJA5xySK24viBpd3pOnXem217fXGpPLHbWEMarcFoiRKGDsqpsIwSzAZI55GQDbtNOmi0p7O+1G41B5Awe4mWNWwR0ARVUAduM+pNc1pfw0stMt9HsTrGqXmlaM6S2lhctEUEqfddmCBmwfmC5wD0GAAHzfEvR44NPMVpqVzdahLPbw2MNuDOJoTiSJlLAKw9ScYBOcc1NefEDTbK4uA9lfvZ2c6W17qCRoYLSVtvyOd2443jcVVgvcigCaw8HnSdQkk0jW9QsrCW6a6k05FhaLez73CloyyqxJJAI6nGKVfB8cviKHV9U1W+1J7VJ47WGcRKkCzYDj92iluAANxOAO55rldP8bSnxh4s1HX5NUstJ0CZbeGEIhhP7uMYYLl3kd5AVHptHXIPQn4hafbRX/wDbGnalpNxZafJqRtruNN81vGMuyFHZSRwCpIYZGQKAL/h7wrB4f8LDw+Ly5vrCOMwwi52bo4duBHlFXIAzyeeetZOm/DWzsJNJabWNUvE0a3ktbCKZogsMLx+WVIWMbiF2jccn5R75sx+P7Oexs57bStVml1GRl0+0EKJLeIqK5lUM4Cx4YfM5Xn6jOzoWuWniHTPttkJUCyvDLDMm2SGRGKujDsQQf6cUAZcHgXTLfQ/DelJPdmDw5PHPaMXXc7JG8YDnbgjDnOAOcUtn4Nii19tY1TVL3V7kWj2UX2tYlWOF2DMMRou4kqOTngfUm5J4o06DWtR0y6aS3m0+zW+laRcI0B3AupzyAUIPTHFZK/ESzuUj/szR9X1GT7JFeXENtAm+1ikBZPMDOPmIBOxdze1AEUPwt0CHw3pGimS8kg0q9F5FLJKDJM2TlZG2/MpDbSMDgDnjNaWoeE/tGvSazpWr3ukXtxCkF01qsTrcIhJXcsiMNw3HDDBwcHIqTSvGWj63qdrZaXM1wbvThqUMyr8jQl9g5PIbPYjipdJ8T6dq/hl9egaSKxjM+9plwyiF3RyQM8ZRvwoALHw3bWPiS51wXFzNeXVnDaSmUrtKxFiGwFHzEuc9umAKZqnhmHUfEmma5HeXFne6cskQMIQrNE5UvG4ZTwdg5GCPWuW8W+Obtvhjda/pNnqOlgS2L2888cbGeGW5jUlFVnPKMeCA3zDjNbcfxA0qOTUo9Zt7zRJNNtBfSrqEajdbkkCRSjMCMjGPvA8EZoArxfDewiVLL+09RbQ47oXaaMXTyFcPvC52bzGHwwTdjI9OK2fEvhyDxLY28EtzPaS2l1HeW1xb7d0cqHKnDAgjk5BHNZ1v48s2uBb6lpeqaTNJbSXVsl9Cim5jjAL7NrthgCDsba3t1q1H4z0ySz8OXKrceX4k2fYsoMjdCZRv54+UH15oARPB1kB4hMlzdSP4hjVLx2ZARiAQ5TC4BKrnnIz7cVVHgSG0ntLnQ9Wv9KurexisHmhET/aIYwdnmK6FSwycMADye3FYvhPx5IngPw9LqqXmsa1qzzrDb2kaebN5cjbm+Yqiqq7cliByPWr/AIA8R3viHVvFn2z7QkVnqggt7e5jCPbr5EZZCB/tFjnJBzwSMUAdBq/h6113wy+i6tLPcRSRorXG4JLvQhllBUABwyhuABkdMcVyD+CtQPxI0661K8vtbsG0a7srq4uzEoXe0e1NsaqPmAck4yfXgAbkHjKPVluP7G03UZ7NRNGurKkYtvMjDA4y4dhuUjcEKk96wvAPxDN94Z8LR+ILbUVudWt0jj1KeFFhubjYWZRhtwJCsQSoBxwTQBqaV8OrfTr3RLi51zVtQGg710+K5eLZGjRNFtbagL/K2Mk5+Uf7Wbuh+D28OvFBpeuahHpMDMYdMZYWjjBz8gcx79gJyBuyMAZxxVZfiNpTMk5s9QXSJLn7ImsmJfsrS7/LAzu37S/y7ymzP8VO1H4hadp8+oEWGpXVjpbmPUdRtoVaC0YAFg2WDttBBbYrbe+KAD/hAbW5nv59b1XUNXlvdNk0pnuPKQpbvy6jy0UFif4jnoMY5y628BWKzWE2pXt3qb2OnzaaouBGFlgl25DhEGThAMjHfPtai8XWt34il0nTbK8vzb+V9pu7cR+Tb+YodNxZwxypDfKrDBqtb+PtNub+2jS0vhY3d01lbam0a/ZppgWGxTu38lSAxUKT0JoAj0zwBb2NzpputY1PUrXSG3adaXboUt22lQxKoGcqpIUuTgH15qSHwBpcHhjSdCSe8NrpV9FfQOXXe0kc3mgMduCu44OADjv3rW1jVp9LSM22j6hqrPklLIRZQDHJMjoO/ABJODgVhJ8SNKujpyaRZalqk+pWTXttBawqGMasFYMXZQhBODuIGeM5wKANvUvD9rqmt6Pqk8kyT6RLLLAsbAKxkiaI7gQcjDEjBHOPpVPSfCa6f4gbWr3Vr7Vb/wCy/Y45LoRL5cW4ORiNFBJYAknPTjHOaifEPSrnTNLutOtb6+n1WWWG2soo0WbfFnzQwdlVdm05y30zkVNc+OtLsrfWJL2G7gk0e3huLiB4wZCsqkoFAJySQU/3gR70AOfweIvEN3qukaxf6W1+6SXtvbiJop3VQofEiNtYqACVxke+DUV14A0u78Na/ock94LbXrmW5uXV13o0mNwQ7cAfKMZBqS48e6FaxpLNPIIG0v8AtUzBMqsBKhenO5i3ygA5wary/EPT7O01OXVtO1LTJdNsvt8ltcxJ5kkGSN6bXYHkYIJBGRkDNADtS8BwXuoajcWWr6lpcWrADUbezaMJcELt3ZZCUYqApZCCQPXBDrn4eaBdPciSCQW1xo8ejG0VgI0t42Zk28bgw39c9h35rQs/EdveeHrjWntbu0s4UeUG6jEbSRqu7zAM5CkdN2D6gVX0S91J/AcWp6nJuv57Rrxl2qBCXUusYwBkICFyeTjJ60PRFRi5NJFaTwQb3SG0/WfEOq6iiPHJazS+Sktq8bBkkV0jBLggctkHHI5OdjSNOvNPjkF/rN1qruRhriOFNgHoI0Xr3zn8K5lNV12x8E2niiXUEvYzaRXl1aSQKnyMoZxGy4IIBOM5zjHvWt4t1W50fRbbWbKfFva3ML3UW1cTW7sEfkjI2h94xj7mDwTURmpHRXw0qGraau1pfdbrVLuT6Po9xpOuazIrxtYahOt3Gu4745igSRcYxtOxWHOcs3HSoj4TjFxfvDq+pQQ6hOZ57eF41UuVVThtm8cKOjVv0U5RUtzOlWqUr8j3KMlnJp+gvaeH4beKWGApaRykrErY+XcQCcZ68E1V03w8ul+DIdAtby4j8qz+zC8jIEoYrgygnI3ZJbp1rYoqtjJtyd3uQWNs1np1tavcS3TQxLG085BklIAG5iABk4yeOpqeiigQUUUUAFQX3/IOuf8Ark38jU9QX3/IOuf+uTfyNAE9FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEFx/r7X/AK6n/wBAap6guP8AX2v/AF1P/oDVPQAHnrVZ7CFmyAV/3TVmigCKK2ih5RefU9aloooAKryWUMjZwVP+yasUUAQxWkULZUZPqamoooAKhltIpmywwfUVNRQBXjsoY2zgsf8AaNWKKKADr1rx3xB8FdS03X5te+FetjQrqfJnsZcmBz144IA/2SpAzxjpXsVFAHhzeF/jhqq/Y7rW9I02FuHuIcbyPbCEg/TH1ruvh18L9K+H9vNNHNJqGr3Q/wBL1GYfNJzkhRk7RnnqST1J4x29FABUFv8A6+6/66j/ANAWp6gt/wDX3X/XUf8AoC0AT1Bff8g65/65N/I1PUF9/wAg65/65N/I0AT1znjjw9d+JdBt7Kwkhjkj1C1uiZmIXbFMrsOAecKce/pXR0UAc9LoF0/xMtfEQkh+yQ6RNYshY+YZHmicEDGNuEPfOccVxS/C3UbZNPvHSx1G5sr3UJGs3uZIo5obmbzBiQLlZFwv8JB5Gehr1aigDhdP8ETW2veHNStdP0/SY9PmvZry1guXm3NNGEVlYoNzYUFs4x2z1rNb4bvDrGrRz6Hpmt6fqt/JeebdX8sLwiQhnRowjK4ByVIIzwDjGa9MooA8+vvh7f39t4rQ3lvDLqmq2+pWEg3MI2hWHaJBgcFouQM8Hrmo9e8H+I/GS3tzrKabp86aJe6bYW8Fy8yma5QK8kjmNSFGxQAFJwSTzxXotFAHA+IfAl1fv4bv4YbW/uNHtXtZrOe4eGOdHVASsiglWBjBGRggkHHBGhoVlqGiX+nabp+h2WmWVx9pu9SMErzqr5VYwsjBcu2dxyp4Qj0J66igDzP4k6VH4k8YaDo2lz41C4SSHVEjBO3S3wZd5BGNzxoq56lmx0NbMuh+IdD8U6xqfheDTbuDWUhLw3k7w/ZZo4/LDDajbkKquV4ORweeOy2qHLBRuIAJxyQOn8z+dLQB5xpPgTWvB+oaLdeHzZaobbSX027W8ma3yxl87zVKo/G8tlccAjB4rf8ABfh7UfDPgFdIvTZ3d+kl3J8jMsMhlnkkUEkEgYcA8HHPXv1FFAHlh+G+sy6FrthaR6fo9pf3VjNa6XFdyTQW7Q3CyTOCUGzeFwEVccAnGTjY8X+ALrxVr2o3H2uK2trvQ/7PRxkyJMJxKrFcYK8DPOT0967uigDhpvDXiDxRrWnXfimPT7CHTILhUSwneZp5pojEz/Mi7ECs2F+Y5PJ45zdK8HeKhF4Ls9TXSYrbwrKqtLDcyO92i27wqwUoAhwVJBJ5zyMDPpdFAHmuj+A9e8N2Phi7sGsLvUtGiu7a4t3neOKeGeTflX2EhlKr1XB5Hoa6DwZ4e1bRtR8RX2tvZmXWL9btEtHZxGvlIm0llXJBUjOORzgZwOqooA4nwtoPiLw5oaeFng0+50q3SWK31AXTrL5RDbA0XlkFgSoJ34IyevymvZ+BdTt/CPgPSnntDP4cvIJ7tg7bXVIJYyEO3JOXGMgcZrvqKAPNIvAviH/hD4PA0p07+woZ0H9oiZzcPapL5gj8rZgScBS2/GOcZ4Fm48J+JrSx8R6Hox02TTdeubidb24mdZbP7R/rQYwhEmCzFfmX0PTn0KigDz+58D3y+JtEn0ezstPTSmt4zqsd5J9oubWNAGgkiCBWzyBuYgDkc8VT8MfDd9AksdOu9D0zULXT7kTW+pvfyrKArlo2MJQjzF4/iwcZyOlemUUAcZ4x8MalrfiDTrqO0sNX0yC3mil0vUZ2jhMrFSkxARxJgKy7WHG7I5rO8C/D3U/C2p6LNeXFlJFp2j3WnyC3LDc8l0sqlVI4XapB5yDxz1r0SigDzR/AGop4Kl0W40vSdWlk1C8u45JL6S3Nq0srPE6OsRYMA3OMEY4Jq3L4B1W51nwxd32pw3Ys7OGDWpHDB714GEsLLxg4l3Mc9jXoFFAHmMXwouX8KeI9Ju76DzL1o4dNkUMywWsEplt43HB4ZiGCnGOhp914AutT8M67aJoGkaTqd9pkthDdx6jLcbt+CQd0YKplVPc8dPX0uigDOudLF74Zl0m4YYnszbSMvum0/wA6z/DqXl58P7azv7d7W/SzNnOkqFQJUXy2YeqEjII6gg10NFG44txaaOOg8O65d+FrHw7qhsLaxht4re5ktpnlknRFAIG5FCbsc/ewDVzxzZz6p4ej0W0t3kOpXMUDsqEpDEHDyMxH3RsRgPVio710tFRGCjsdFfETr72Su3p3e7KOqPqqfY/7GitJM3SC7+0uy7YOd7JgHL9MA4HXmr1FFWcwUUUUAFFFFABRRRQAVBff8g65/wCuTfyNT1Bff8g65/65N/I0AT0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAV7o7Xt32sVWXLbVLY+Rh0H1pftkX92b/vw/8AhU9FAEH2yL+7N/34f/Cj7ZF/dm/78P8A4VPRQBB9si/uzf8Afh/8KPtkX92b/vw/+FT0UAQfbIv7s3/fh/8ACj7ZF/dm/wC/D/4VPRQBB9si/uzf9+H/AMKPtkX92b/vw/8AhU9FAEH2yL+7N/34f/Cj7ZF/dm/78P8A4VPRQBB9si/uzf8Afh/8KPtkX92b/vw/+FT0UAQfbIv7s3/fh/8ACj7ZF/dm/wC/D/4VPRQBB9si/uzf9+H/AMKPtkX92b/vw/8AhU9FAEH2yL+7N/34f/CktTue4fawVpcruUrn5FHQ/SrFFABUN4paxnVQSxiYAAdeKmooAg+2Rf3Zv+/D/wCFH2yL+7N/34f/AAqeigCD7ZF/dm/78P8A4UfbIv7s3/fh/wDCp6KAIPtkX92b/vw/+FH2yL+7N/34f/Cp6KAIPtkX92b/AL8P/hR9si/uzf8Afh/8KnooAg+2Rf3Zv+/D/wCFH2yL+7N/34f/AAqeigCD7ZF/dm/78P8A4UfbIv7s3/fh/wDCp6KAIPtkX92b/vw/+FH2yL+7N/34f/Cp6KAIPtkX92b/AL8P/hR9si/uzf8Afh/8KnooAg+2Rf3Zv+/D/wCFH2yL+7N/34f/AAqeigCD7ZF/dm/78P8A4UfbIv7s3/fh/wDCp6KAIPtkX92b/vw/+FH2yL+7N/34f/Cp6KAIPtkX92b/AL8P/hR9si/uzf8Afh/8KnooAg+2Rf3Zv+/D/wCFH2yL+7N/34f/AAqeigCD7ZF/dm/78P8A4UfbIv7s3/fh/wDCp6KAIPtkX92b/vw/+FH2yL+7N/34f/Cp6KAIPtkX92b/AL8P/hR9si/uzf8Afh/8KnooAg+2Rf3Zv+/D/wCFH2yL+7N/34f/AAqeigCD7ZF/dm/78P8A4UfbIv7s3/fh/wDCp6KAIPtkX92b/vw/+FH2yL+7N/34f/Cp6KAIPtkX92b/AL8P/hR9si/uzf8Afh/8KnooAg+2Rf3Zv+/D/wCFH2yL+7N/34f/AAqeigCD7ZF/dm/78P8A4UfbIv7s3/fh/wDCp6KAIPtkX92b/vw/+FQ3dyktnMiJMWaNgB5D8kj6VdooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/9k="}}},{"metadata":{},"cell_type":"markdown","source":"You can Read more about TOEIC [here](https://www.iibc-global.org/english/toeic/test/lr/about/format.html) , but the key takeaway is that responses to an answer will be 4 choices , we will see this now as we progress in EDA . "},{"metadata":{},"cell_type":"markdown","source":"<a id=\"4\"></a>\n\n<h2 style='background:blue; border:0; color:white'><center>4. Intelligent Tutoring and Knowledge Tracing </center><h2>\n"},{"metadata":{},"cell_type":"markdown","source":"## 1. Intelligent Tutoring Systems(ITS)\n1. Intelligent tutoring is a computer system , that aims to provide immediate and customized feedback to learners.\n2. ITS are used extensively in formal and education settings.\n3. Some Examples of ITS are : Practical Algebra Tutor(PAT) used to teach Algebra to students developed by  Pittsburgh Advanced Cognitive Tutor Center at Carnegie Mellon University,  SQL Tutor developed by ICTG at University of Canterrburry New Zealand , SmartTutor developed to support needs of Adults for continuing Education."},{"metadata":{},"cell_type":"markdown","source":"## 2. Knowledge Tracing\n1. A Knowledge Tracing algorithm is used in many intelligent tutoring applications.\n2. Bayesian Knowledge Tracing Algorithm is used in many intelligent tutoring systems to model each learner's mastery of Knowledge being tutored.\n3. Bayesian Knowledge Tracing Assumes student Knowledge being represented as set of binary variables , one for each skill , where each skill is being mastered or not (More Informally for our Task Reading and Listening are two skills which will be assessed and hence they can be represented by Binary Variable) Observations in Bayesian Knowledge Tracing are also Binary (For our example it would be whether student got an answer correct or incorrect)"},{"metadata":{},"cell_type":"markdown","source":"For more details about this topic , please refer the Youtube video given below , it explains everything right from knowledge tracing and also Bayesian Knowledge Tracing"},{"metadata":{"trusted":true},"cell_type":"code","source":"## Youtube Video To be added ! \nimport warnings\nfrom IPython.display import YouTubeVideo\nwarnings.filterwarnings(\"ignore\", category=DeprecationWarning)\nwarnings.filterwarnings(\"ignore\", category=UserWarning)\nwarnings.filterwarnings(\"ignore\", category=FutureWarning)\n\nfrom IPython.display import HTML\nfrom IPython.display import YouTubeVideo\n\nYouTubeVideo('cjCwpP3cUpg', width=800, height=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Exploratory Data Analysis "},{"metadata":{},"cell_type":"markdown","source":"Let's now dive into EDA , after some domain knowledge and insights into competition and problem we are going to solve"},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\nimport numpy as np \nimport pandas as pd\nimport matplotlib.pyplot as plt\n%matplotlib inline\nimport seaborn as sns\nimport plotly.express as px\nfrom IPython.display import display\nimport random\nimport plotly.graph_objects as go\nfrom plotly.subplots import make_subplots\nimport matplotlib.pyplot as plt\nimport time\nimport os\nimport matplotlib.pyplot as plt\nimport matplotlib_venn as venn\nsns.set()\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 5GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"5\"></a>\n<h2 style='background:blue; border:0; color:white'><center>5. EDA of Train.csv</center><h2>\n"},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"print(\"Loading Train Data ....\")\ndf_train = pd.read_csv(\"../input/riiid-test-answer-prediction/train.csv\" , nrows = 10**6)\nprint(\"Train Data Info\")\nprint(\"***************************\")\nprint(df_train.info())","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"There appears some null objects in \"prior_question_elapsed_time\" and \"prior_question_had_explanation\" columns lets check their count !"},{"metadata":{"trusted":true},"cell_type":"code","source":"print(\"Number of Null Objects in Elapsed Time Column are : \",df_train.prior_question_elapsed_time.isna().sum())\nprint(\"Number of Null Objects in Had Explanation Column are : \",df_train.prior_question_had_explanation.isna().sum())","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Lets peek into train dataframe"},{"metadata":{"trusted":true},"cell_type":"code","source":"df_train.head()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Now we will evaluate Number of Unique Users in our train dataframe , remember that a user can have multiple interaction , as he can answer multiple questions and also watch video lectures in between . "},{"metadata":{"trusted":true},"cell_type":"code","source":"unique_users_list = df_train.user_id.unique().tolist()\nprint(\"Number of Unique Users are :\" , len(unique_users_list))\nprint(\"{:>20}: {:>8}\".format('Percentage of Unique Users are',(len(unique_users_list)/(df_train.shape[0])) *100))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Lets now plot bar plot , for users distribution as per content_id and understand how many users are watching lecture and how many were answering question , lets see which is dominating content type id"},{"metadata":{"trusted":true},"cell_type":"code","source":"df_users_content_group = df_train.groupby(['content_type_id'])['user_id'].count().reset_index()\ndf_users_content_group.columns = ['content_type_id' , 'count']\nfig = px.bar(\n    df_users_content_group, \n    x='content_type_id', \n    y=\"count\", \n    color = \"content_type_id\",\n    orientation='v', \n    title='User Counts based on Content_type_id', \n    width=500,\n    height=500\n)\n\nfig.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"We can see that Number of Users who were answering questions , dominate number of users who were watching the lectures."},{"metadata":{},"cell_type":"markdown","source":"Now lets see % age of unique content in our dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"unique_content_list = df_train.content_id.unique().tolist()\nprint(\"Number of Unique Conents are :\" , len(unique_content_list))\n#print(%.3f\"Percentage of Unique Questions are : \" , (len(unique_questions_list))/(df_train.shape[0]))\n# Let's check our memory usage\nprint(\"{:>20}: {:>8}\".format('Percentage of Unique Content are',len(unique_content_list)/(df_train.shape[0]) *100))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"## Lets Now plot top content like top 10 content and their distribution based on occurence\ndf_top_content = df_train.groupby('content_id')['user_id'].count().reset_index().sort_values(by ='user_id', ascending=False)[:5]\ndf_top_content['content_id'] = df_top_content['content_id'].astype('category')\ndf_top_content.columns = ['content_id' , 'count']\nfig = px.bar(\n    df_top_content, \n    x='content_id', \n    y=\"count\", \n    orientation='v', \n    title='Top 5 Content Ids Having most user', \n    width=800,\n    height=800\n)\n\nfig.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"#### Lets Now Do Same But Only for Top Questions !"},{"metadata":{"trusted":true},"cell_type":"code","source":"df_ques_only = df_train.loc[df_train['content_type_id'] == 0]\ndf_top_ques = df_ques_only.groupby('content_id')['user_id'].count().reset_index().sort_values(by ='user_id', ascending=False)[:5]\ndf_top_ques['content_id'] = df_top_ques['content_id'].astype('category')\ndf_top_ques.columns = ['content_id' , 'count']\nfig = px.bar(\n    df_top_ques, \n    x='content_id', \n    y=\"count\", \n    orientation='v', \n    title='Top 5 Question Ids Having most user', \n    width=800,\n    height=800\n)\n\nfig.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Lets now see what percentage of users correctly answered the questions and also their distribution"},{"metadata":{"trusted":true},"cell_type":"code","source":"correct_answer_stu = df_train.loc[df_train['answered_correctly'] == 1 ].shape[0]\nprint(\"Number of Correct Answer Students  are :\" ,correct_answer_stu)\nprint(\"{:>20}: {:>8}\".format('Percentage of Correct Answers',(correct_answer_stu)/(df_train.shape[0]) *100))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_ques_only = df_train.loc[df_train['content_type_id'] == 0]\ndf_correct_ans = df_ques_only.groupby('answered_correctly')['user_id'].count().reset_index().sort_values(by ='user_id', ascending=False)\ndf_correct_ans\ndf_correct_ans.columns = ['answered_correctly' , 'count']\nfig = px.bar(\n    df_correct_ans, \n    x='answered_correctly', \n    y=\"count\", \n    orientation='v', \n    title='User Counts Based on Correctly answer question', \n    width=500,\n    height=500\n)\n\nfig.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Now Let Us Plot a Venn Diagram to show how users watching videos and users answering questions are related"},{"metadata":{"trusted":true},"cell_type":"code","source":"df_questions_user = df_train.loc[df_train['content_type_id'] == 0 ]\ndf_lectures_user = df_train.loc[df_train['content_type_id'] == 1 ]\ndf_questions_user_id_set = set(df_questions_user['user_id'])\ndf_lectures_user_id_set = set(df_lectures_user['user_id'])\nvenn.venn2([df_questions_user_id_set,df_lectures_user_id_set],set_labels=('Question','Lectures'))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"We can see that set of Users that are watching lectures are subset of set of users answering questions , which means there can be users who only answers questions and not prefer watching lectures if it were the case that all users watch lectures and also answer questions we would have gotten almost overlapping set!"},{"metadata":{},"cell_type":"markdown","source":"<b> Lets see Sample Statistics of an student who has user_id = 115 </b>"},{"metadata":{"trusted":true},"cell_type":"code","source":"df_sample_stu = df_train.loc[df_train['user_id'] == 115]\nunique_questions_list = df_sample_stu.content_id.unique().tolist()\nprint(\"Number of Unique Questions by Student 115 are :\" , len(unique_questions_list))\n#print(%.3f\"Percentage of Unique Questions are : \" , (len(unique_questions_list))/(df_train.shape[0]))\n# Let's check our memory usage\nprint(\"{:>20}: {:>8}\".format('Percentage of Unique Questions Seen by 115 are',len(unique_questions_list)/(df_sample_stu.shape[0]) *100))\ncorrect_answer_stu = df_sample_stu.loc[df_sample_stu['answered_correctly'] == 1 ].shape[0]\nprint(\"Number of Correct Answer by 115   are :\" ,correct_answer_stu)\nprint(\"{:>20}: {:>8}\".format('Percentage of Correct Answers by 115 are',(correct_answer_stu)/(df_sample_stu.shape[0]) *100))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"6\"></a>\n<h2 style='background:blue; border:0; color:white'><center>6. EDA of Questions.csv</center><h2>\n\n"},{"metadata":{"trusted":true},"cell_type":"code","source":"df_ques = pd.read_csv('../input/riiid-test-answer-prediction/questions.csv')\ndf_ques.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(\"Number of Unique Questions are \" , df_ques.shape[0])\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"As per the data description given [here](https://www.kaggle.com/c/riiid-test-answer-prediction/data) if you notice \"example_test_rows.csv\" , It says clearly \" Some questions will appear in the hidden test set that have NOT been presented in the train set, emulating the challenge of quickly adapting to modeling newly introduced questions\" , However their Metadata is still with us in questions.csv , This can come useful for validation set !"},{"metadata":{"trusted":true},"cell_type":"code","source":"train_ques_set = set(df_train['content_id'])\nall_ques_set = set(df_ques['question_id'])\n\nnot_in_train_ques = list(all_ques_set.difference(train_ques_set))\nprint('{}:{}'.format(\"The Number of Questions Not in Train Set Are\" , len(not_in_train_ques)))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Lets see how many parts are there to which a question can belong !"},{"metadata":{"trusted":true},"cell_type":"code","source":"df_ques.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_ques_bundle = df_ques.groupby('part')['question_id'].count().reset_index().sort_values(by ='question_id', ascending=False)\ndf_ques_bundle.columns = ['part' ,'count']\ndf_ques_bundle.plot.bar(x = 'part' , y = 'count', title = \"Number of Questions by Parts\")","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"We can see that part 5 has the most number of questions , part 2 ,3 and 4 have almost similar Number of questions , part 1 has least Number of questions"},{"metadata":{},"cell_type":"markdown","source":"Let's see Tags of Questions Now !"},{"metadata":{"trusted":true},"cell_type":"code","source":"# Making List of Unique Tags !\ntag_list = []\nfor i in df_ques.index:\n    temp = str(df_ques['tags'][i]).split(\" \")\n    for tag in temp:\n        if tag not in tag_list:\n            tag_list.append(tag)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"## Peaking Over Few Tags \ntag_list[:10]","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Lets Now See which Tags Have Minimum and Maximum Number of appearance and also lets try to plot some top few tags having highest occurences!"},{"metadata":{"trusted":true},"cell_type":"code","source":"tag_dict = {key:0 for key in tag_list}\nfor i in df_ques.index:\n    temp = str(df_ques['tags'][i]).split(\" \")\n    for tag in temp:\n        tag_dict[tag] +=1\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# sorting dict \nsorted_tag_dict = {k: v for k, v in sorted(tag_dict.items(), key=lambda item: item[1] , reverse=True)}\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"## Lets Now Get Minimum and Maximum appearance of Tags\n\nprint(\"Maximum Appearance of a Tag is :\" , max(sorted_tag_dict.values()))\nprint(\"Minimum Appearance of a Tag is :\" , min(sorted_tag_dict.values()))\nprint(\"Tag Having Maximum Appearance is :\" , list(sorted_tag_dict.keys())[0] )\nprint(\"Tag Having Minimum Appearance is :\" , list(sorted_tag_dict.keys())[-1] )","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Lets Take Top 10 Tags and plot their occurences\nimport itertools\ntop_10_tags = dict(itertools.islice(sorted_tag_dict.items(), 10))\ndf_top_10 = pd.DataFrame(list(top_10_tags.items()) , columns=['Tag' , 'appearances']) \nimport seaborn as sns\nax = sns.barplot(x=\"Tag\", y=\"appearances\", data=df_top_10)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#sorted_tag_dict.keys()[0]\nlist(sorted_tag_dict.keys())[0] ","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Let us see appearance of Tags as per correct and incorrect answer wise , let us analyse top 10 tags , we have to predict whether given answer is correct or  not , let us see if tags have some trends or not !"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"7\"></a>\n<h2 style='background:blue; border:0; color:white'><center>7. EDA of Train and Questions.csv Combined</center><h2>\n"},{"metadata":{"trusted":true},"cell_type":"code","source":"df_train = df_train.rename(columns = {'content_id':'question_id'})\ndf_comb = df_train.merge(df_ques , on = 'question_id' , how = 'left')\ndf_comb.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_comb = df_comb.loc[df_comb['content_type_id'] == 0 ] # Take only questions Data \ndf_correct_answer_data = df_comb.loc[df_comb['answered_correctly'] == 1]\ndf_incorrect_answer_data = df_comb.loc[df_comb['answered_correctly'] == 0]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Making List of Unique Tags !\ncorrect_answer_tag_list = []\nfor i in df_correct_answer_data.index:\n    temp = str(df_correct_answer_data['tags'][i]).split(\" \")\n    for tag in temp:\n        if tag not in correct_answer_tag_list:\n            correct_answer_tag_list.append(tag)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Making List of Unique Tags !\nincorrect_answer_tag_list = []\nfor i in df_incorrect_answer_data.index:\n    temp = str(df_incorrect_answer_data['tags'][i]).split(\" \")\n    for tag in temp:\n        if tag not in incorrect_answer_tag_list:\n            incorrect_answer_tag_list.append(tag)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(\"Is Two Tag Lists of Correct and Incorrect answers Equal(Having Same Elements ! ) ?\" )\nprint(\"Answer is :\",set(correct_answer_tag_list) == set(incorrect_answer_tag_list))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"\nvenn.venn2([set(correct_answer_tag_list),set(incorrect_answer_tag_list)],set_labels=('Correct Answer Tags','Incorrect Answer Tags'))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"We can see that there is Full Overlap Between Two Sets , Hence Tags Alone Can't Help Us May be there Frequency will be useful !"},{"metadata":{},"cell_type":"markdown","source":"Lets Now plot question tags and lectures Tag !"},{"metadata":{"trusted":true},"cell_type":"code","source":"df_lectures = df_comb.loc[df_comb['content_type_id'] == 1] \ndf_questions = df_comb.loc[df_comb['content_type_id'] == 0] # Take only questions Data \n\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Making List of Unique Questions Tags !\nquestions_tag_list = []\nfor i in df_questions.index:\n    temp = str(df_questions['tags'][i]).split(\" \")\n    for tag in temp:\n        if tag not in questions_tag_list:\n            questions_tag_list.append(tag)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Making List of Unique Lectures Tag\nlectures_tag_list = []\nfor i in df_lectures.index:\n    temp = str(df_lectures['tags'][i]).split(\" \")\n    for tag in temp:\n        if tag not in lectures_tag_list:\n            lectures_tag_list.append(tag)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"venn.venn2([set(questions_tag_list),set(lectures_tag_list)],set_labels=('Answer Tags','Lectures Tags'))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"We See That Answer Tags are Superset of Lectures Tags !"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"8\"></a>\n<h2 style='background:blue; border:0; color:white'><center>8. Example of Test Data !</center><h2>\n"},{"metadata":{},"cell_type":"markdown","source":"Lets check if our test dataset has some user which are not present in train.csv , While submitting for this competition , Data will be given to us in batches , I don't know till now whether that data will have test response of students who are already there in train set !"},{"metadata":{"trusted":true},"cell_type":"code","source":"test_example = pd.read_csv('../input/riiid-test-answer-prediction/example_test.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_example.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_example_user_id = set(test_example['user_id'])\ntrain_user_id = set(df_train['user_id'])\nprint(test_example_user_id.difference(train_user_id))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"We can clearly see that there are some user id in test examples which are not present in train examples , however this can also be due to the fact as we have sampled the data ! A good way would be to use libraries like dask dataframes which allows larger datasets to be processed on Ram ! "},{"metadata":{},"cell_type":"markdown","source":"<a id=\"9\"></a>\n<h2 style='background:blue; border:0; color:white'><center>9. To be continued Upcoming !</center><h2>\n"},{"metadata":{},"cell_type":"markdown","source":"1. Pair Plots , 3d Scatter Plots !\n2. Some analysis of lectures.csv !\n3. Some Eda based on Feature Engineering Insights !"}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}