misp-circl-feed/feeds/circl/stix-2.1/5cc3fa33-2fac-4dbd-9e06-60de02de0b81.json

{
    "type": "bundle",
    "id": "bundle--5cc3fa33-2fac-4dbd-9e06-60de02de0b81",
    "objects": [
        {
            "type": "identity",
            "spec_version": "2.1",
            "id": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:43:18.000Z",
            "modified": "2019-04-27T07:43:18.000Z",
            "name": "CIRCL",
            "identity_class": "organization"
        },
        {
            "type": "report",
            "spec_version": "2.1",
            "id": "report--5cc3fa33-2fac-4dbd-9e06-60de02de0b81",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:43:18.000Z",
            "modified": "2019-04-27T07:43:18.000Z",
            "name": "OSINT - BabyShark Malware Part Two \u00e2\u20ac\u201c Attacks Continue Using KimJongRAT and PCRat",
            "published": "2019-04-27T09:02:41Z",
            "object_refs": [
                "x-misp-attribute--5cc3fa44-db00-4a96-9e27-607502de0b81",
                "observed-data--5cc3fa72-76e4-4a59-9290-bdbe02de0b81",
                "file--5cc3fa72-76e4-4a59-9290-bdbe02de0b81",
                "artifact--5cc3fa72-76e4-4a59-9290-bdbe02de0b81",
                "indicator--5cc3fafa-8580-46cb-916a-44db02de0b81",
                "indicator--5cc3fafb-5408-433e-8b31-408b02de0b81",
                "indicator--5cc3fafb-c8c0-42e6-bc0b-44a502de0b81",
                "indicator--5cc3fafb-7a28-4088-8973-4cc602de0b81",
                "indicator--5cc3fafb-5174-4cf6-b028-4e1202de0b81",
                "indicator--5cc3fafb-7744-4075-838a-49c702de0b81",
                "x-misp-object--5cc4069c-ed84-47b2-8f41-43b0950d210f",
                "indicator--c5a73ecb-7963-487b-9c12-4b0e86a495ae",
                "x-misp-object--ec43ff24-211c-430f-84ab-5f57fa153d60",
                "indicator--e04af19f-c666-456b-95c9-b1b19d401d5d",
                "x-misp-object--af318753-2c6d-41cc-a37b-f9db1cec6b7a",
                "indicator--1ca9e3cc-11cf-4417-ae89-12d0db9e9240",
                "x-misp-object--210c73d6-356a-4be2-ba0a-cbf5b9ed607e",
                "indicator--41e3fdee-552a-4961-8183-635188ef931d",
                "x-misp-object--5620ac27-0a6e-466a-90ff-6e97ab1e498d",
                "relationship--a2978e53-4dce-47ff-9a2f-096807695563",
                "relationship--494a1d44-509c-456c-89de-4622b6e0e30c",
                "relationship--3d370b36-1cde-4ae8-a3e9-91580dd6debf",
                "relationship--0635de0b-8d55-4548-9a5e-d91a675c4cc5"
            ],
            "labels": [
                "Threat-Report",
                "misp:tool=\"MISP-STIX-Converter\"",
                "misp-galaxy:tool=\"BabyShark\"",
                "type:OSINT",
                "osint:lifetime=\"perpetual\"",
                "osint:certainty=\"50\""
            ],
            "object_marking_refs": [
                "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9"
            ]
        },
        {
            "type": "x-misp-attribute",
            "spec_version": "2.1",
            "id": "x-misp-attribute--5cc3fa44-db00-4a96-9e27-607502de0b81",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T06:44:20.000Z",
            "modified": "2019-04-27T06:44:20.000Z",
            "labels": [
                "misp:type=\"text\"",
                "misp:category=\"External analysis\""
            ],
            "x_misp_category": "External analysis",
            "x_misp_type": "text",
            "x_misp_value": "In February 2019, Unit 42 published a blog about the BabyShark malware family and the associated spear phishing campaigns targeting U.S. national think tanks. Since that publication, malicious attacks leveraging BabyShark have continued through March and April 2019. The attackers expanded targeting to the cryptocurrency industry, showing that those behind these attacks also have interests in financial gain.\r\n\r\nWhile tracking the latest activities of the threat group, Unit 42 researchers were able to collect both the BabyShark malware\u00e2\u20ac\u2122s server-side and client-side files, as well as two encoded secondary PE payload files that the malware installs on the victim hosts upon receiving an operator\u00e2\u20ac\u2122s command. By analyzing the files, we were able to further understand the overall multi-staging structure of the BabyShark malware and features, such as how it attempts to maintain operational security and supported remote administration commands. Based on our research, it appears the malware author calls the encoded secondary payload \u00e2\u20ac\u0153Cowboy\u00e2\u20ac\u009d regardless of what malware family is delivered.\r\n\r\nOur research shows the most recent malicious activities involving BabyShark malware appear to be carried out for two purposes:\r\n\r\n    Espionage on nuclear security and the Korean peninsula\u00e2\u20ac\u2122s national security issues\r\n    Financial gain with focus on the cryptocurrency industry based on the decoy contents used in the samples, shown in Figure 1. Xcryptocrash is an online cryptocurrency gambling game."
        },
        {
            "type": "observed-data",
            "spec_version": "2.1",
            "id": "observed-data--5cc3fa72-76e4-4a59-9290-bdbe02de0b81",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T06:45:06.000Z",
            "modified": "2019-04-27T06:45:06.000Z",
            "first_observed": "2019-04-27T06:45:06Z",
            "last_observed": "2019-04-27T06:45:06Z",
            "number_observed": 1,
            "object_refs": [
                "file--5cc3fa72-76e4-4a59-9290-bdbe02de0b81",
                "artifact--5cc3fa72-76e4-4a59-9290-bdbe02de0b81"
            ],
            "labels": [
                "misp:type=\"attachment\"",
                "misp:category=\"Payload delivery\""
            ]
        },
        {
            "type": "file",
            "spec_version": "2.1",
            "id": "file--5cc3fa72-76e4-4a59-9290-bdbe02de0b81",
            "name": "Fig-2.-BabyShark-flowchart.png",
            "content_ref": "artifact--5cc3fa72-76e4-4a59-9290-bdbe02de0b81"
        },
        {
            "type": "artifact",
            "spec_version": "2.1",
            "id": "artifact--5cc3fa72-76e4-4a59-9290-bdbe02de0b81",
            "payload_bin": "iVBORw0KGgoAAAANSUhEUgAAA00AAAHHCAYAAABjt7O7AAAKrWlDQ1BJQ0MgUHJvZmlsZQAASImVlgdUU2kWx7/30hstIdIJNXTpVXoNIEQ6iEpIKKGEEAggdmRwBMeCiggoIzoIouCoFFERsWAbBBTBOiCDgroOFrCgsg9Yws7u2d2z/5yb73duvvd/931595wLAHmAIxSmwDIApAoyRUHeboyIyCgGbhiggSwgACNA4XAzhK5stj9ANL/+VZP3ATSz3jWe8fr33/+rZHlxGVwAIDbCsbwMbirCZ5Bo4wpFmQCgkABa2ZnCGS5FmCZCCkT4+AwnzHH7DMfO8b3ZPSFB7giPAoAncziiBABIH5A8I4ubgPiQaQibCnh8AcIeCDtxEzk8hPMRNkpNTZvhkwjrxf6TT8JfPGMlnhxOgoTnnmVWeA9+hjCFs/r/PI7/rdQU8fw9NJEgJ4p8gpCVjpxZTXKan4QFsQGB88znze6f5USxT+g8czPco+aZx/Hwm2dxcqjrPHNEC9fyM1kh8yxKC5L4C1IC/CX+cSwJx2V4Bs9zPN+LNc+5iSHh85zFDwuY54zkYL+FPe6SvEgcJKk5XuQlecbUjIXauJyFe2Umhvgs1BAhqYcX5+EpyQtCJfuFmW4ST2EKe6H+FG9JPiMrWHJtJvKCzXMSx5e94MOWnA/wAJ7AH/kwABuYA0tgBuwAUlVmXM7MOw3c04SrRfyExEyGK9I1cQyWgGtixDA3NbMDYKYH5/7i9wOzvQXR8Qs53ggAFjN9oreQS0I6+Nwk0k6NCznmEAAyBwBoZ3PFoqy5HHrmCwOIQBrQgCJQA1pADxgj9VkDB+CCVOwLAkEIiAQrARckglQgAtlgLdgECkAR2An2gjJQCQ6DGnACnALN4Dy4BK6BW6Ab9IFHYBCMgFdgHEyCKQiCcBAFokKKkDqkAxlC5pAt5AR5Qv5QEBQJxUAJkAASQ2uhzVARVAyVQYegWuhX6Cx0CboB9UAPoCFoDHoHfYFRMBmmwaqwLrwYtoVdYT84BF4BJ8DpcC6cD2+HS+Eq+DjcBF+Cb8F98CD8Cp5AARQJRUdpoIxRtih3VCAqChWPEqHWowpRJagqVD2qFdWJuosaRL1GfUZj0VQ0A22MdkD7oEPRXHQ6ej16G7oMXYNuQl9B30UPocfR3zEUjArGEGOPYWEiMAmYbEwBpgRTjWnEXMX0YUYwk1gslo5lYm2wPthIbBJ2DXYb9gC2AduO7cEOYydwOJwizhDniAvEcXCZuALcftxx3EVcL24E9wlPwqvjzfFe+Ci8AJ+HL8Efw7fhe/Ev8FMEGYIOwZ4QSOARVhN2EI4QWgl3CCOEKaIskUl0JIYQk4ibiKXEeuJV4mPiexKJpEmyIy0j8UkbSaWkk6TrpCHSZ7Ic2YDsTo4mi8nbyUfJ7eQH5PcUCkWX4kKJomRStlNqKZcpTymfpKhSJlIsKZ7UBqlyqSapXqk30gRpHWlX6ZXSudIl0qel70i/liHI6Mq4y3Bk1suUy5yV6ZeZkKXKmskGyqbKbpM9JntDdlQOJ6cr5ynHk8uXOyx3WW6YiqJqUd2pXOpm6hHqVeoIDUtj0li0JFoR7QStizYuLydvKR8mnyNfLn9BfpCOouvSWfQU+g76Kfp9+pdFqotcF8Ut2rqoflHvoo8KygouCnEKhQoNCn0KXxQZip6KyYq7FJsVnyihlQyUlillKx1Uuqr0Wpmm7KDMVS5UPqX8UAVWMVAJUlmjcljltsqEqpqqt6pQdb/qZdXXanQ1F7UktT1qbWpj6lR1J3W++h71i+ovGfIMV0YKo5RxhTGuoaLhoyHWOKTRpTGlydQM1czTbNB8okXUstWK19qj1aE1rq2uvVR7rXad9kMdgo6tTqLOPp1OnY+6TN1w3S26zbqjTAUmi5nLrGM+1qPoOeul61Xp3dPH6tvqJ+sf0O82gA2sDBINyg3uGMKG1oZ8wwOGPUYYIzsjgVGVUb8x2djVOMu4znjIhG7ib5Jn0mzyZrH24qjFuxZ3Lv5uamWaYnrE9JGZnJmvWZ5Zq9k7cwNzrnm5+T0LioWXxQaLFou3loaWcZYHLQesqFZLrbZYdVh9s7axFlnXW4/ZaNvE2FTY9NvSbNm222yv22Hs3Ow22J23+2xvbZ9pf8r+Twdjh2SHYw6jS5hL4pYcWTLsqOnIcTzkOOjEcIpx+tlp0FnDmeNc5fzMRcuF51Lt8sJV3zXJ9bjrGzdTN5Fbo9tHd3v3de7tHigPb49Cjy5POc9QzzLPp16aXgledV7j3lbea7zbfTA+fj67fPpZqiwuq5Y17mvju873ih/ZL9ivzO+Zv4G/yL91KbzUd+nupY8DdAIEAc2BIJAVuDvwCZvJTmefW4Zdxl5Wvux5kFnQ2qDOYGrwquBjwZMhbiE7Qh6F6oWKQzvCpMOiw2rDPoZ7hBeHD0YsjlgXcStSKZIf2RKFiwqLqo6aWO65fO/ykWir6ILo+yuYK3JW3FiptDJl5YVV0qs4q07HYGLCY47FfOUEcqo4E7Gs2IrYca47dx/3Fc+Ft4c3FucYVxz3It4xvjh+NMExYXfCWKJzYknia747v4z/NsknqTLpY3Jg8tHk6ZTwlIZUfGpM6lmBnCBZcCVNLS0nrUdoKCwQDqbbp+9NHxf5iaozoIwVGS2ZNGTYuS3WE/8gHspyyirP+pQdln06RzZHkHN7tcHqratf5Hrl/rIGvYa7pmOtxtpNa4fWua47tB5aH7u+Y4PWhvwNIxu9N9ZsIm5K3vRbnmlecd6HzeGbW/NV8zfmD//g/UNdgVSBqKB/i8OWyh/RP/J/7NpqsXX/1u+FvMKbRaZFJUVft3G33fzJ7KfSn6a3x2/v2mG94+BO7E7Bzvu7nHfVFMsW5xYP7166u2kPY0/hng97V+29UWJZUrmPuE+8b7DUv7Rlv/b+nfu/liWW9ZW7lTdUqFRsrfh4gHeg96DLwfpK1cqiyi8/838eOOR9qKlKt6rkMPZw1uHnR8KOdP5i+0tttVJ1UfW3o4KjgzVBNVdqbWprj6kc21EH14nrxo5HH+8+4XGipd64/lADvaHoJDgpPvny15hf75/yO9Vx2vZ0/RmdMxWN1MbCJqhpddN4c2LzYEtkS89Z37MdrQ6tjedMzh09r3G+/IL8hR1txLb8tumLuRcn2oXtry8lXBruWNXx6HLE5XtXll3puup39fo1r2uXO107L153vH7+hv2Nszdtbzbfsr7VdNvqduNvVr81dll3Nd2xudPSbdfd2rOkp63XuffSXY+71+6x7t3qC+jruR96f6A/un9wgDcw+iDlwduHWQ+nHm18jHlc+ETmSclTladVv+v/3jBoPXhhyGPo9rPgZ4+GucOv/sj44+tI/nPK85IX6i9qR81Hz495jXW/XP5y5JXw1dTrgr/J/q3ijd6bM3+6/Hl7PGJ85K3o7fS7be8V3x/9YPmhY4I98XQydXLqY+EnxU81n20/d34J//JiKvsr7mvpN/1vrd/9vj+eTp2eFnJEnNlRAIUEHB8PwLujAFAiAaB2A0CUmpuRZwXNzfWzBP4Tz83Rs7IGALECYUgEuQBQgQQTCemNALCRNcQFwBYWkviHMuItzOe8SM3IaFIyPf0emQ1x+gB865+enmqenv5WjRT7EJljJudm8xnJIPN/9wNTC1///tAh8K/6Oze9BkYKTefQAAABnWlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENvcmUgNS40LjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgICAgICAgICB4bWxuczpleGlmPSJodHRwOi8vbnMuYWRvYmUuY29tL2V4aWYvMS4wLyI+CiAgICAgICAgIDxleGlmOlBpeGVsWERpbWVuc2lvbj44NDU8L2V4aWY6UGl4ZWxYRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFlEaW1lbnNpb24+NDU1PC9leGlmOlBpeGVsWURpbWVuc2lvbj4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+CmcxlMAAAEAASURBVHgB7N0FuDZHdQfwBYJbcYfgDsVK8ODu7gnuboECwd3dg7t7IFjx4hSX4A7Fi3Z7fgfO27n77b3f1U/nPM+9u+/u6H9nZ+foHGEMGjp1BDoCHYGOQEegI9AR6Ah0BDoCHYGOwCwCR5y92i92BDoCHYGOQEegI9AR6Ah0BDoCHYGOQCLQmaY+EDoCHYGOQEegI9AR6Ah0BDoCHYGOwAoIdKZpBXD6rY5AR6Aj0BHoCHQEOgIdgY5AR6Aj0JmmPgY6Ah2BjkBHoCPQEegIdAQ6Ah2BjsAKCHSmaQVw+q2OQEegI9AR6Ah0BDoCHYGOQEegI9CZpj4GOgIdgY5AR6Aj0BHoCHQEOgIdgY7ACgh0pmkFcPqtjkBHoCPQEegIdAQ6Ah2BjkBHoCPQmaY+BjoCHYGOQEegI9AR6Ah0BDoCHYGOwAoIdKZpBXD6rY5AR6Aj0BHoCHQEOgIdgY5AR6Aj0JmmPgY6Ah2BjkBHoCPQEegIdAQ6Ah2BjsAKCHSmaQVw+q2OQEegI9AR6AjsLQj87W9/G/70pz/ttO7+/ve/H8ZxzPqdf+xjH9umLe973/uGt7zlLdtcX+mCfvnr1BHoCHQENoJAZ5o2gl7P2xHoCHQEOgIdgT0AgTvf+c7D0Y9+9OGYxzzmcM973nOH9ugzn/nMcIYznGE49rGPPZzsZCcbvv3tbw9vfetbh4tc5CLDb37zmyVteelLXzo885nPXHJtuR/f//73hyte8YrDsY51rPx74AMfuFzSXfb64YcfPjztaU/bZdvXG9YR2JsQ6EzT3vS0e187Ah2BjkBHoCMwQeDTn/708PSnP3147WtfO2A0Lne5yy1SfOlLXxr+8z//c/jrX/+a1372s58NP/3pT4f/+q//Gn7wgx8MX/ziF4c///nPee+///u/h29961t5/pe//GX45Cc/OXzlK19ZlIUZokH6yEc+MvzP//zP4vqDH/zg4SQnOckg/8tf/vLhGMc4xnD1q1890x33uMfNdNrxta99bZGnTrRBeb/97W/rUh5prK5//esPX//614dDDz10eP/7359MWSX6xje+kfmKKfvDH/6QzJrjhz/84eF3v/td9us//uM/hl/96leZTd/9/fCHPxw+/vGPLzBxszRj0/4qT7vh1dK03W39NGz6ow9vetObhrvc5S6JI5xpzD760Y8On/3sZ9vi+nlHoCOwIxCIl7JTR6Aj0BHoCHQEOgJ7KQLB+LCJG4PJGINpWqBw4xvfeDzd6U43hhZoPP/5zz8GIzSGRmo805nONB7xiEccH/CAB4xHPepRx9D8ZB7pL3vZy46//vWvx7Of/ezjBS5wgfF4xzveeNe73jXvn/Oc5xzPcpazZF0f/OAHF/Vc5zrXyXTBtI1///vf8/rrX//6TBfmguPBBx88HuEIRxiPc5zjjCc60YnGy1/+8pnm2c9+9niCE5xg/Ld/+7e8HgzSosxgXjL/i1/84sW1OrnFLW4xhvZp3HfffbPeT33qU6P6lO2aPp35zGcez3a2s42hfRuDoRuDucq+u6bOffbZZwzmMouUX97Tn/70mf6mN71pXtdfGAQTmG151rOeldfn2l31n/a0px2PdrSjZTu+973vjaH5y7zBPI6f+MQnsq/nOc95xvOd73xjmCpWl/qxI9AR2AEIkGR06gh0BDoCHYGOQEdgL0bgMY95TC74j3KUo4xPfOITx9Bk5GI9tB5jMVWhsUnG4fjHP/4YGqURQ3O1q10tmZjQRCUDgiF40pOeNJ7ylKccQ5syPu95z0sGKzRLIybiwhe+cDIg0heFBiqZC4zbuc997jE0OcnE+K0OjMPDHvawPL/gBS+Y9f3v//7v+C//8i/ZVukxY/e///2ryPEd73hHtj+0UItrTkKrtriOQcN8YPaKSZP+7W9/e6YJU8Dxq1/9ap6/5z3vyb6f4hSnGH/xi1+Mr3jFK/J6aKzGq171qgsG6s1vfvPiuv5e4QpXSGYzzATzfLl2V/2h2UrmSN9DmzW+6lWvyvLkgyFm9aEPfWhisaRj/UdHoCOw5Qh087yYmTp1BDoCeycCrdM7XwlmLzHr5vGPf/zjpoIydbJn1vTjH/94SR3qjAXnEIuyJdc3+8dc3Ruto8pklvW4xz0uTbfWU+bPf/7z4YADDkjzqPXkn8sjeMBDHvKQuVv92j8RuM997jN897vfTdO8e93rXsOXv/zlvHOPe9xjuP3tbz9c9KIXXZi3haZpCA3UEBqZ4brXvW6avgWTkiZl17rWtQZ+OKFtGm5wgxsMoekZLn7xiw/BoGR5zkNjNISmZoF9aFfSlC8YjjRD8w4UKYfpWjBTWd9Zz3rWvOW6v+c///lphnfCE55wCEatsg0nPvGJ85y5YUtMBFEwNEMwIENolNLcsNIEEzUEY5Q/2/OaK051qlMNoWkaQpOWabyryjzHOc6Rv6t9TBjRv/7rvw5HPvKRh1Of+tRpkri9dodmKtPK25ow+h0aqCGY0jSlDI3Y8LnPfc7lTh2BjsAOQqAzTTsI6F7NygiEqcYQErWVE03utpGWfKQf//jHDyGNm6Ta/s/15GXTXouK7dewfAoLdP3otGMRCDOZXBhxfA8JdfphWOi/7W1vS0bGAvGwww5bU6P4GzzlKU8ZfvKTn2yTr3WytyBFYZI0POEJT1iSlr8EJ/xvfvObS67P/eDTYPHJed7f7W53u7lks9fm6p5NuMxFi+GqVxu+853vLPrDF+S+973vwAdlPfSCF7wgo6Yp/yY3uUnWw68lTLCGD33oQ1mk39IVheZjeO5zn5s/T3Oa02QeC9vQAKT/ifOHP/zhw49+9KPK0o8NAnyPMJbehzA/y0U+xgg9+tGPHvj1vOY1rxnCRK/J9Y/T0DQNYTo33P3udx8ucYlLDGGmlgyVBT5/HHlf8pKXZICJbTL/80Joo/LZYIz4MwncUORZG2Oh6Ummji8RCi3TEKZ/yTCp453vfGcyaZUPE2MseO4CTfAp8t6HCV0mee9735tBJsLkLRmoyre9Ix8p5QlUcaQjHSn7qkx+UBgr/lOhrRsKv2l522v3ND2GC/HBwjyGaeIQZnvJQMG3U0egI7DjEOhM047Deq+rqRZWPmwkdhxxl6MwTcgF53L32+tzkZYsIO9973svccxt86x0vr28z3jGMxYLRAu5l73sZUOYRwxht75SsYt7FnpvfOMbF7/rhATWYk+ZFoQIA7cVkZIwBCSTRWF+M5CYWgDU4rc90oBgAHz873CHO1S2PeL4rne9K/tEm2Ehxcm6nMF1UPQuC6Dwzcj+kgz7XQtujC6GgOYofBlyUS4hTYuF47vf/e50aM/M8U8aY6ic7Kvc173udQPpPuL0zfl7qt2ac6bPDP/Mg+EmafduhX9JSvPVp70tM46hs9i08EJV93J9keaXv/xlOsoTDpRzv+sIcxdmUlmvuo2lKvMfKf7//xQ/d1ZyZoeTIAAI5he72MWyHRbhN7vZzVITqG8l+S/Bg9/OaRYwnha1+gwXi3FtDJOqLLf/W4oAjca1r33tnAtoMp7znOckg2Q8X/rSlx5ocWhmPEuMgr8iDM2VrnSl1LaY89Etb3nL1Lyc/OQnT+YmzN/y+jRvXox/YQ6XQgxzFM1M+EBlHZgx2iDzrYh52kAr5Zp73ivCMvPoSU960nzeVSYtGEaPhsv3R7nmu/AHGu52t7slky+f9/2ggw5a1Fd1Kkd7/fZXfTYnYlxE4pOPRitMBwcaUpEHCQy0C/PY9rfOl2t3W5f+IccLXehCWRaNmPGsLzAwN9DydeoIdAR2IALxkenUEdgSBC55yUuO17zmNdP2PT68I+dVFAumMaIxjWy3Qyqd1zgX77fffumEHB+GtAFnbx4L0YXtdkQwGtm+X+UqV0m7+Ii0NIa0cIwF/sIena05m3ROu0Vs0mNhl+lcYxsei+WsOxaXi7yx6BrVIX1LYdYzcsLVZn/qZUMfi8lMxrZfP5QVi968/4EPfCDbGou7dK7mRN06KWtDLDbGWNxlnRygXeNLEK9/lq09c1ip9PDDD89+cnaOhWW2Q7tgqm1T0odY+Cwuh/Q1/Q84dusTvwP1stPn1Ax7z4sTuL5ry55CnN05bMO7Jf4HsQhKf4VY2IzBXKVvAdzCpCj9KmIRlvdhxcGbk7i/YOTTUd51DuahQVoU/YUvfCGxjQXlEif7qs/zisXlGExrOpyrmx+J59k608dCb1GmE2NMWu9IUUj6M4/+BZMwBjM2BvOTjvvGm2cZJojpW1J9nfaFL4sxwYFfeeoQCKAl7zbn/ZaqP97BlfCTh+O+8eW9aJ3ZQ5KeDvaHHHJIFq2eWBjmOX8VGHluyg8hSbYztCSZJ5j8vBcLzTEiwWUe/jP8TZDjjW50ozzv/7ZFgI+RudSc05J33xxT74vjNI30wZi32fLcPGw8FMlX5dS1OhrvwZTVzzy2fk/mUvPVtH5lat9c/VWYcs3NLfEPWqm+tu46r+8UTLxbUwrGaRHIwr22v6tpd9Ujb3uu397juj73nPJm/9cR6AhsKQIkc506AluCgAVPSC9HEYAudalLJQOlIgsxi0ELO87CPj4+RhZpFZWI86wFFAdgjAQKU510tl0p0lLYjS8iD/koPvjBD846znve844cnC1GfXwsFDkOW2CVA66Pu2u1SMtK4x+GQ7taqo+naxaL8ikzpO1jSC/Hy1zmMtk/zJB6Q4qY0ZXaMizGQ/o5WvShsIHfJlLSHFYiVYnmJK86Q6qbZdTiXqQmi/uW9IHTdDF+4aOQeFcazJayPv/5z+elcn7GbLoemrJKutsfLdgr6lXbmblFf2g8cjxwaD/wwAPH2DdmwVRxTLcQMzbChCkXnBbzLRNQ5ZeTvahcNZ7Vd7/73W90z5ixwHzDG96QDIFxypke46PuMD3LMWRMF2GaPBuMkDaENnGxuMXQawtGPiTxGb2LQMDC1N+0r9O+cDTnuI445ofmoarNo3fbuNZuYxGTPS0T0zmHH8y8D3PO7JzqtVvAAaQe0crCpDHH761udatcNEuj7/XndzFNzrXde+H95syPbnvb2+bzyx/9X0dgHQiIFljvxTqy9ywdgY7Abo5AN8+Lr26nrUPAzu18RtjLl+PsK1/5yjRl4j9ir4qQxGcD2LLbz4JDPhMqpjmcipnUhNQtTTiYIzz2sY/NjRCdBzO0MJtSiD0++EfxsVAuB2b230zkOPe2firx8VtiwnTHO94xbeSZzU3JPh2xMM0/ZlRTYubBxIstPhMWpoJMofiORHjb3KSRSVNLzPxcY5p3wxveMMsuP41Y2Ob1OayYQTGbCYYmi2Pi9YhHPGLYf//9B+ntTfLkJz+5rSrPtYuTsT+2/SuRcpiBKJMZlt97CjGnmTqHz/Ut5vY0lxQcgtmR51ljWHo48gEJZnVhKjZXjmuekTHJNM/YMFaK+Mcxt2HmxHSoKLSJaeanbj4hrTN9pQkGIR3DvS9M17wbxjlfIMQsTzlMe5jJ8qfwN6W2L0y1mLPxIbG5qHc0mJdplgwMwBSRLwkzoikthx/MjD/7Aul368zOlAqVH4fzkOqn2Z30TMeQfvutjpDgLwkq4D7zPfv+eN8LC2Xyt+rUEVgvAvyjBLzo1BHoCOydCPx/+Jq9s/+911uMwPWud730AbLou/nNb56+ChibV7/61WlLrnoLO8TnAGNSUYj4VBwQfids6jkKWwhhojAoHJcxZBgnkZbYfSOLPwwHCol2LvxCmp8LKNGMqi732aVbwBVhsk4TjsPttbpnQWuBiCycp0xERYQKDVMyanwy9AOzuByp34LWh5hNfC3u2vQWwVOs2OZzzhY4wyLbwlM58MIwoXZxX+VZ3LO7R5isaRCCSueo7DAtSXyVCxv4tw7abfrd6fzKV75y+jTx8zJ+jKU5p20LcxHCLL4xBqgiYs31txb6mKMWK+X7jTnmZM8Bnb9FkahaL3zhCzP4Az+cInUbi5y9vRcYPT4TUzLO/Bn3/NCUYUzUe+ScIEBwCcwa37XtkTbyJQpztmScznjGM26TxXs4FxigEi6HHwGIsc8nUKQxEdOMaVQRzwhMijDv/FaKMEorkXq9B4QgLSmzym+v9/OOQEegI9AR6AisBoFtxYOrydXTdARWiQAmhTalFpsW4rQgmCCalpZI8qdRiUi4MTKcazEkFmorRVpqy3NusUWLY8d4jrkrEednkY+m7ZJHeFwLRH9zTFWVi8F41KMeNYSZWwYAiD1BUmoOg2JYpJUOI0mqj9FDGJJaeMNCnjmsaAAsCmmbaBjkscC2AA2TrfyLzSCzzPX88wxo/MIcLTUMt771rbOde0qkpjDxGsK8cnjQgx6UzAXND+fuctQurYnfcMRs0M5gnGk62vvwlc41jA3NTJiFpRaksMe8l5O9MaYMQQ3kM64wDwQGGBOMeZjbZXk0lJjfcqafMtUVslk5iCYpzGCT0aGd0h7tUg5mTfkEENojT7Vb3iqjrmMiBZTQVmNen1pSd+Wp65W3xWcOPxHAMELGLAaKNrZIH/aNYAAVPXCuHmnb65ik9nd7XuU6KpNmulNHoCPQEegIdATWhUBI7Tp1BLYEAZsexqBMHwW+S+XLISgEp3Q+ELGwG/nN2DHepoX8mmIRNP77v//7ok38kpRTzuH8JPz2F+Zj6aMRC/rMF0xa+ga5Z8d5vjx8L4LxSt8IZfHpcN9mhajNy9lem/hTFYVWZgwJdf3Mo3T8WxDfIrbuKMyBsm/KCO3XGBqG3GQxGJv0tcpE8Y//FJ8u7YjF5ninO90pb3FotrO86/xa5rDi0yVwAPz0LbQU6YsUGoUMQsCnqcVPwfrA96SIDw4fqCJ1qVOADHlj0Vy38qiPgnrsScRJOxjTRZdap+3WCVsC6Spoid/t/TYfZ2/O4I4tST913m7zSVtO6W3ZrvN1ap3pXSuapnW96p/eUwaHctTW3aZznX9SMEpjRE3MdPz3guHKfPVPGn8tLVemNHP4TfGosrxb/M6QOqZYut62efp7es/90P7l/MB3r9PqEQjhTQbQiIieuckqfzRBY/jK7SgSZCWER+uqTtCTiC653bx8BUMzud1020tQPneVzvdI8JHYDqAuLXuc5l024XZubMbzCauQrMXGup75ZtNqyvUt5OMZFiVjbOOQTRAIKoQfi+YI+uRbDWd+t/4ER9oIraZtGyl/K/KudpzPpTM21/uMN5J3K3DYEWX2QBA7AuVexzYITBd2tQjz8bJIbCmk3SMH+lpUuofxaX+71i6W2nNpLRbbBVh7f5q3FpauF1kQtmQhV9faxaI0JvF2Me4a5qlddLuGfAz0uaU2UpLrLVaCZmAqwzwwPxQhsR99bIumi9O67ljtrWvT34VJPYtK5+jaNH17v5/vWQi86EUvSkYJ84+BmQtusVU9Di1nRm2czgMbqc9CSHCWTmtDIDSFuXCVS2RNiyuCJwvZHUXvD6FabLC7rurCVHUbAdJcQebm2Jtt7taarpmP23kyNP9jbGmwqjKmebUptMSryksIFlYNmXYzno/ASaieef5YxT/zRPgrbjflaspVToSqHyN8+ximxinQEwRJwJciglmMvcA38MMgCx5TAtZKt5bjSm1byzNZS50bTbvacT6XTrCpuUiQy7UpXC4Wt9aad5FxC05WO/Y2WnU3zwvxeqcdjwD/mjKrUTuTHn/MlphBtcTngW8Fs6Ui5lLtb9eZ5RS159IyYVO+OlF7f/q7TOQy4T//TU2RlFPXHKtcyQW0mJoC8kWZ8wfiL6PPLamfGWJRixV/FKZl9qHhCyO//UKK1DtXj/vV3ko7/V2Y1LOodI6uTdO39/v5noXAAeFLaE+b0E4NNv+cCwSxVT1mGmhfqOk8sJH6mLMya+20egQE6OBPKeCGQDrMG80DLTE3tQcTk+QQJKV5NbNee7v5XWQM8WllKs3HD/HLtJ9RaBbTZDRCymdZ9uxbjkJTmL6fyrJ/WAhzhmAS0lw5tP1ZZyyKMiAKf0XtLgrmK9sQWv1BYB/k28I8tDZGrrSOzLS1l3lyCKPy1sPD/9SeUcZTbd6sHb5PfGcFLSlims48VTASOPF1tAE1c9wKfrRcXmWElUQGP5IeloIE8RFmli2oTxFz6hBypAl7YccsnIku39Wi6bOq647MwMOSIPfCaq/XMw9meZg+n/KrhZ99CJma668gL3AqCoHFYv8s/YZrlTs3Liqf58gP1FhimgzHlcj3kBmxsei5FilHuwTKYX6Ppv3lU8wHEo7VNgGXtN04YsptrE2fybRcZc+NSfOo8s2rxkFRaMVyn72I7Dn4C+Ylb82N1enzW+04Xy5dtcFR8K0KumXvwmA+87bx7P0q8uzMo955bUf8u2sM+D03VlxHxggspedTbVwXBszmmZKHkDjTTjGQznwhb0QBXvLeq9OzaMfe3PvSPuesZD3/AtBOHYGOQEegI9AR6Ah0BBYIxIImNTwRLS5NJEuqXJoMIeVpUWihmXLabsFeWN/97ncXewpVYcx+aancowlAymN2x2JA6H2mWDTyzLSZbhbF4inbQeMe/p+Z3p53QuEzy6ptEmhlmGSTpsfiNDX+sYhOTRPT1P3DlNv+SrT0zKGVR6NCo0lDMdU00dzAIIKopJm39gjvbx9B5szXuMY1sonMsGNBl9s5hIBuiaaJ6be+0T4xtbb9BgxKk7NSXu3TZpYHEYgmt9xQjhD6t7nNbQqebCMTWnsWehaeTzCV2X/h0YP5zT3nps+qCqA1DMYgn08wmXm52lfPfO75uBcL+bT6iOicmc8WG7EoXmL1oUztQczwmcVXuXPjIhPGP1qlYL5Gmmf75AWzndfs70bb4Y+ZemmaYoPlxBcWtlko8hxtF4GMg7n+hp9y7ntI41Jtg6MxZcyw5jBu2mcyLbfqmxuT9u0zjtxrtTrGNtN34z2YvXwf5sbq3Lu22nE+l67a6qi/wWDkePFO2XeSZs/YZ+7YmvobX9qrH5WXJRBrnhoDc2MlE8e/8E3PMaOcEEakJhMGnikrmfDzzq0h5jCQTh0RECnf2el734695d6X9jlXm9Z6XCo2Wg/X1fN0BDoCHYGOQEegI7DbImCbBhL1WNwu+kB7TrNE891q0iuBUPwCxpCgh5lxSslJy2ldYgFTyfJIm04TJBpoqyUhWWYxoKxY3A2xH1dGiBQoZ0o0X7FZcaYX1ES7gqFILYY2kJArm+ZFhEwa/2BsshgajliIpVaLpDyYj9RUibpKo0lzNCVl0eoLgFNtDj/U3IJB1FJ9JikX2MS2GgKmuN8S7X1p6LXhkY98ZGpCtG01eeGun+FDlsFklEUjRJNU1D6n0gQKPKMOWwdo59yzqvy0PdILcCRi5hwt93xo4lhyCOASC+lFQJayWlBWMKNDbJidWgblCFZTtNy4qPvCuwv8RENQAZNo2wSo8Xeuc52rkubzFBGVdoo2rkgwHc+ItoomZ66/gigZW9PIosaPSKexr1+Wr1/1TKblVn2CCgVjne9FjUnRdEVIpWWpZ1Tp4XHSk540I+F6VnNjde75rXacz6Wruuvo3TdeBDKiCfNe0NLSNNN0Fmm7/utjkfe9HQPLjRXpjWPPTzkwqXHMkoGVTOzPmTjPYSC/9zr84/OdnWJc75rjcu/Lcs9Z2aulfVabsKfrCHQEOgIdgY5AR2DPQyCkzYO/tZBFzlWucpWBuVtL9iJj6mN/t5BK5y0mVsz89o3IiPvtt1+bPM+VFX5LizD52ySIC+Ffl3vuuYfpYZLzxS9+Mffls41FmSlbwNn7DFmEIuXbq4z5TpGF2TRd3QtJeDJMFvtMAt/+9rfXrTxaOIaEOhd/TJik91dmf0sSxw/MjjbAoJgoaVbKKx1GBLV9Pzy2l2CK1lKbtr1e7VzuWUmL4cFQIuZTc9Fht/d8qp65drhnsev52JqjZRq2Ny4ws6Ehy7bVP4t7bUbt4h0j+9SnPrWSLY6YHot/i3nMFMZwe/2tzKEBylOMxMlOdrJ8dvVMpuVirpF9HAkh2jGJmQ7/tmSaMYFMUqdUGM6NVeNm+q7p63T8zuWdSzet23uCYQwtaPYzNLVpCuf6dDsOzy/8n5OZb8tp27/cu1zj2DvajuMpznP9gF/RHMbt2Kt6pG/rqfwbOXamaSPo9bwdgY5AR6Aj0BHYQxGwEPKH6ryOJND8C2iALLZpiUj/LV4wA0LKF5Hi88O02LVgQlWO84MOOih9V0jvMR58LGpBXOksimmlMGQ0BmE2lFsG8HWg4XKkZeDLY4EpZD5NFGbJnmUWUhbh/EtJ9yuEP8k3bZPFeJE+2CSaD5I91mwJgGrBr011zhcDo2gPMP6k7hVV2/3Wf5J0C2g48L1ZKa9FrPZrc5iqpTaIP5iF8pQ5oBkIs6jcq62ts87nnhU8kXsRUCGl8/rNb6X6Vvnnnk/dU0adR0TXHAcYClqVIljTCnkmqNLPjYvKI021Y7lrlaaOla49Ynoxy7CEv/GzXH/lq7Y5t7+dbSBsmfK2t70tGYt6JrSbxnuVKz06beyLNx2TEX0yNUiYL9rGorauOp8bq3PPb7XjfC5d1e9I22fsEETwpaaNQXwT9XFKnlmY4Q60etVmaep8bqzUu0zbHKaluf1FmPSlPxRtEwGGZ2IvPc9qDgPvoDrQHMbt2CPI8Zyn78t0PGVha/x3BPZ8a8zTk3cEOgIdgY5AR6AjsIcjwISsFho0KRbV7TXdx8BgOMokiylbMUYtPJgPTEXlr/LaNPJijGpxVPcqj98YNIvytl0WrhZ/bT6Mm2vTvMpotSmlXWnTSYNWanPb/rm6/lHCsKR+eZiKtUFOtpdX+2pT62pPld0elVv9KmymfZo+qza/e9Wu6lsdK137fNp77blngWqhXHnbNO159Wna1lqats90eq3N055XnXWEISp8nM/11/Vqm8ACEZEvg+C0wZXUU89krtwqYzom1ec5eodaatvdns+VPff85sbPXN65dNpRddZzqLYx1aM9o/WZUkQRTAaysHK/Pfe7HSt+F3mGtMQ1pmmQmOYywfS+1tiVftqPaqt76ptiPB170z5N26ictVJnmtaKWE/fEegIdAQ6Ah2BjkBHoCOwxyIgkh5fNVq8vY2Y5T3mMY8ZnvSkJ21512mqY7+tWa3Wlle+jgo607QO0HqWjkBHoCPQEegIdAQ6Ah2BjkBHYO9BoEfP23uede9pR6Aj0BHoCHQEOgIdgY5AR6AjsA4EOtO0DtB6lo5AR6Aj0BHoCHQEOgIdgY5AR2DvQaAzTXvPs+497Qh0BDoCHYGOQEegI9AR6Ah0BNaBQGea1gFaz9IR6Ah0BDoCHYGOQEegI9AR6AjsPQh0pmnveda9px2BjkBHoCPQEegIdAQ6Ah2BjsA6EOhM0zpA61k6Ah2BjkBHoCPQEegIdAQ6Ah2BvQeBzjTtPc+697Qj0BHoCHQEOgIdgY5AR6Aj0BFYBwKdaVoHaD1LR6Aj0BHoCHQEOgIdgY5AR6AjsPcg0JmmvedZ9552BDoCHYGOQEegI9AR6Ah0BDoC60CgM03rAK1n6Qh0BDoCHYGOQEegI9AR6Ah0BPYeBDrTtPc8697TjkBHoCPQEegIdAQ6Ah2BjkBHYB0IdKZpHaD1LHsXAj/84Q+H5z73ucPXv/71vavjvbcdgY5AR6Aj0BHoCHQEOgKJwD47G4e//OUvw+c///nhF7/4xXDCE55wOPe5zz0c5ShH2dnN6vV3BBYIvPGNbxzufOc7D8c+9rGHm9/85sO9733v4dSnPvXifj/ZPRH4z//8zwFDvNV06UtfOsfOVtfTy+8IdAQ6Ah2BjkBHYOsQOMIYtHXFL1/yb3/72+FhD3tYSvCdFx3nOMcZbnOb2wwPfOADB+edOgI7G4HXvva1w/Wud70cj8bqSU5ykuHhD3/4cKtb3WpnN63XvwEEPFPPdivpCEc4wvBf//Vfw9nOdratrKaX3RHoCHQEOgIdgY7AFiOwU8zzfvCDHwwXvOAFh8c//vFDyzDpq9+uuy9dp47AzkbglKc8ZTbhyle+8vCmN71pOPrRjz7c+ta3Hg488MDhN7/5zc5uXq+/I9AR6Ah0BDoCHYGOQEdgixHY4UzT3/72t+HqV7/68NWvfnXFrrkvnfSrofve976rSdbTdATWjMCJT3ziYZ999hl+/OMf55j88Ic/PFzjGtcYDjnkkDz+9Kc/XXOZPcPOQ+BnP/vZcNGLXnR4+9vfno0405nONBx++OGb+vf0pz9953Ww19wRWCMCN77xjYcHPehBmes973nPsrm/973vDe973/u2uf/qV796+J//+Z9trrtwwAEHLLnOuOVd73rX8JKXvGT4+c9/vuTeZv34wx/+MLztbW8bXve61w2/+93vNqvYLS/nMY95TH5TtryiXkFHoCOwLgR2ONP04he/ePjMZz6zqsZKJ/1y9Oc//3l45StfOdz2trfNdI5+u96pI7BZCPzLv/xLmuZZbGPiT3GKUwwWCfycPvCBDwzXvva1h1/+8pebVV0vZ4sR+PSnPz185CMfGf74xz9mTUc+8pGHfffdd1P/TnSiE21xL3a94v/0pz9t2SJ4Z/f2f//3fweMBWbY+Z5GmKGHPvSh2a273OUuy3avtea//vWvv0i3EiZf/OIXF+mcYM7e+973piDqLW95S95ry1qSeB0/zMX777//8OUvf3n4yU9+Mvz7v//7OkrZcVkwSrUmIvzt35Idh32vqSOwVgR2ONP0spe9bE1tXC49af9ZznKW4SlPeUoudviZWPj47br7nToCm4EAczz+dUxHLQyRYCVPfvKThzvd6U65AOff9Ne//nUzqutlbDECl73sZYfHPvaxwxnPeMZtavrGN76x0EDVza997WvDO9/5zvq55Ehb5f5m0Yc+9KHhale72iBIxY9+9KNBEBJ1OG/p4x//+KCtRXPS+8MOOyzzK+NLX/pSJV1y/Pa3vz34K/rKV76SwTEE6GGK6o9PVlFpISz0rnnNa9blPD772c9eFqclCXfQD+azm0He68tf/vLD61//+mQKj3jEHf7Z3IxurLkM/SUcusENbjA84hGPyPwEDcai77KxgJE0Zr75zW8OcPnEJz6RwXJueMMbDp/85Cdn6zSemDrf6EY3Gm55y1tuU5ay5WcCTVCFnvWsZ+U19T3nOc9Jgcf973//rF87W3rSk56UptP3uc99cn62JkAveMEL0jf17ne/+/DrX/86r/FNPfjggwdM2+c+97nh9re/fdZrrtev5z//+em7eotb3GIhEPiP//iP4SY3uUn2E2OGHv3oRw+vetWrhutc5zr5zrn2ne98Z7jd7W433PSmNx2+8IUvuLRNOszSi170ogGzNO1HZuj/OgIdgV0KgX12dGtEylsLzaXHEF3lKlcZnvnMZ2bEPWZSTKdItEjLqPzdp55nhtNp70DgkY98ZH6oL3OZy6QZ3alOdapN6ThNxNGOdrSM8GgxWWSRwP/Ox/HNb35znh900EF1ux83EYGPfvSjwwUucIHBs9goMbUUARFj0jIeysUIW6BZBFl0fepTn8oFszxTM0yMw/3ud7/hBCc4wfDud797ON/5zrfRpqWU+ZKXvGT2VTswR+Yw4+oNb3jDcIYznGH4+9//ntr10572tMnUqJT0nnnUec973oH03mK0Auq4v5zpFGZQsIo73OEOkmVgjDOf+czDOc95zgx24jrNQy1i73rXu6YE3yLv4he/eOapf8Xg1e+dfZxqONbTHgyTBb7xx4KBD+MHP/jB9RS10/IQJp7mNKdZc/3w++53vzu88IUvTGbAt/i///u/h89+9rPD4x73uOEJT3hCLvgJkDDod7vb3YZjHetYA+bZN5hZ3pwpH80PholwoM7bsoxVzNFLX/rSLMvYg/krXvGK4UpXutJw1ateNYNI/du//dvwgAc8YBCd8iIXuchw0pOeNPtIkyzIS0vMAVkFsETxZ/xivszftF7nOMc5so/OMT8sXLwD1hjebfkFp8Jk3fOe90yGEUN33eteN5kt9/UJk7XffvulQIEgDUNEoEHAoF3TdBizy13ucvm98t536gh0BHZtBHY407Tcx3s5mKbpfbhIbkxmJFY+YiRJJmhHUiNaAfel4xt11KMedbni+/VdDAEftv3DtGI9ZDxgXvw95CEPyYXlPe5xj+H4xz/+eopb5LFIxSxZHFg8t2RsGWsXutCFBkwbZt3HttPmIkCqLdomhmCjjJOFoAUNpmlKFkUWNxZVNDAk7UyPyoyo0mtL+YAwp6G9woAIYLOZZGFI4k5TZIGFabIQ5e8JE3Vj2ox9zE278DI2zYvrJQttEnbCB9J/7ViOtE96i+bvhBAB00krca973Wv4/e9/n3ucaQumlDmrhalFLkbQb5J7eYT1p7Wg2fAsPKtrXetamYZU/mlPe9pwjGMcI4+l8YELc0sMpgWqcphHemc9J22z4D372c+e76hvij3XtA0jvhwVw9SacloEr2QyvlxZO/M6rUprVreWtsAe3rYCYepW31LYY7an24MQLmFkYF/anGl9hAs0L77XGCDa1bYs+Zg+02hh+HzPCTeMe/5JxhgmlhDj0EMPHY55zGPme1BMk/lhaqJP0GqcHelIR0oGxjhEpz/96Yfzn//8WYej+jBQNGbI+2QsXeEKVxie97znJYN04QtfeDjucY+bf+oyvhHmzvg93vGOl0IKffRNQDAsatPBCZbKqfFc6fqxI9AR2PUQWLoC3AHtMyltLwhE2wzpW/KRZYpnTycM0zOe8Yy8TeVucvP7jne8Y97nwC+9SarT7oEAqS5zpPUwTiT/PsD23rHQtfDy/PkhXOpSl1o3AD7iJKfGYvvxqwItKjFpFuIWaa95zWvqVj9uIgIWSBZZb33rWzfEOGFuSJTnyIJHPRZLJNEWiaTcLTP08pe/PBkm0m0LaotxY44J17e+9a1kYubKXs81zAVtFwYPE4HUj6mzmMTU0QZZqJLOY6acW9RZzBEcWZAal2vVNmBGMBvMrORfiWgFMD4Ic0U74R20ULXAJbzQXotRGgnvuLZhxmjSvO+k8CTyBF/qwzAywcKQWqh6xzBNFs3tAtNinlZOfn+YWb/56ZDiy68f5gIaEloRbWFKxSRrjuYYJumm0V7n8u6J14yhKePlGcCpFWIYi+ZbcyWNyxwJ0oDRMSZopVCV5Yhhos1iBmecYKIxbZ4nhtWz862XH4MzpUtc4hL5jhRDbHwQLMiPBH2Z7rOnf0VtX1mwIIKAk53sZEvK4d9KMGA8tiS/P22EBUZtjqoe96dM3lz6fq0j0BHY+QgccUc3waJ4LTRNTxNhYXBImOT5uCKMkgVzMVCuuy/CmfSddh8EfIRoa9bz3DAvFkXorGc9a44JkmpSQouo9RIpJwmnMqeapirTgtWHnZZL2zH0pIidNg8Bi3ALKYyTxdp6iRkNLcNyTARNU/kpWcwwO2uJCRymxQIdYZre//73p/+CBd1mkneBtJrPhYW/BSepOe2JsYiBQqTkJNuEScyekMUcxs/CdLpIzATxz8INrkXOa5F38pOfPIUNTLIq7H6la480scY8MykLSWZc2kzjQ8hAG4H5YcpUvjHqZUJl8YwhovlxjWYLw4fRwhwzo5TmV7/6VZobenbTvbXkK40AxrX8TGjlMLv/+q//mloSbaZZ8PzKzFHbp1QMkzaYj/Y2qucPV3+ozuvomufmXWTGV9ddY75GgCSADmoZXL+ZjtJgGS/MW1GV5dkJtMMXyNhVrnFIcIHZxZTRODFXdc4HybvRzrWEpkznLnaxi6Ugg0bLpuSYZow9pgwDjqpt1X7X2nPvlPdJPeaM85znPDk+td93pYJMtHnqHA7S6EuZbde9th5WCnDowjaodOoI7OIIhPRoh1JIZMf4CNpQd7t/0klfFD4GY2iZxnOd61xjSHHGsG8ew0RlDB+WTOLot+vuSye9fJ12DwRqXHj2sRBdV6NDgp1jK+zVx5BYjuH7kb+DsV51eWH2NMYHc4yF2xjS78wf9uor5g/GLNPFh3EMyeYYC7QxtBFjMFRjSM7HYKjGkJqOsbBcsZydeTOkw2MsMne5vzC9SWyNj1iIj7E4HmOhtCGoYhGfZQbTsygnFmRjBP4YQ0s9hhYp5xZ1xuJ9kaZOgsHI/LH4r0uLY2iAFmMhGJzF9e2dxMJufOITn5jJwuxzDEl1nofp2RgL1DGYpDEWgKPy/QUDkGMqtEqZDianO93p8jyY/Dyu9C+0bmMwKoskxnowPaM2x8Iwr4dJ2hiLujxvy4xFaV6LxewSfOA5HeOwjqApY2jBMk9olsZgTPM8BGNZn2uhyclroQUaYzGe5+2/CMQyBiOZ77VzZJ4IZirPQys2xiI6z8MMLI/SGdcINn77i4BBeW36D4ahncpxVvPR7n6c9nH6O7R9i/cpGMm8XUc/ljuv59U+7xAwLcnf3ssb8S+ESmMwp/Uzj1WWH20ZEdhhNLcic2gwI3nuXzD0o/dwjkLgsehT3a9y63fbtmkfjavQZo0hqFjSf3mDmV5yrS1neq6vRdN7dd37q35jzzejU0egI7BrIrBPfAx2KJEasQsXkaeVcE4bQQIknfRFtElMpfYN1T/pFgkSFTipMBMMmiVBAEj8OSzzLaFWl2+tRCLUaechQKJOyi6YRyym1tQQzr2k8aSAJH0ceR1pB0jiSbNbohUyhmgYmEKRLjIJaW3yRVqbaj3bMpyTgrOz//73v58O06SdTEOYAOkPMq6YlBivymPiVX4CmWAn/+MXsqsT6X9pnNZjqsfkhv/PnEM/070y0aNB4stEQ2K/FxH3diTxDxEJjLkgszD1M1ujTRWsAf3iF79Ix3Y+TbHgSt8O4xz5XVon75LAEFNivkZb5f0wH/M3CWFT+k+VFF7/aWeYB5YWoi2HaR7z6CJmU8qj1YElMy3zOGd/7zKzv/gcpnmV8phOne1sZ1si4dcHmgTPgKaLWZZnJn0wPEMIQlLDQIKvLNotffVs+Riiar93rs6NHd8J72Pb5mq7I3MzZmGCDuwt2iZmlMYX087Cqo4wWe6cDw9qx0WZq1We9l4mjn9zGtkqS5q2DOOPltXcJE35EkpX2iznU5r6W7lf5Vbatm3VXvecKzuY7FmTbBFVW2rLmZ63fZ3eqzJoU5E1jXHXqSPQEdhFEdhZvBwJZ5h8LKTHAc/i3HX35ygi6IxhcjHGQniMj+oiCQ1Tkevuh038KP16qG1PP///Z7OjsVivxilMeHI8hdlOPn4S6Ph45Z9zkvSnPvWpYyy0UhtZ/YoP7UiaTjIeZp45fmgcghlazzAaSTuDcRqDGRvDZHSMhesYC97FWCeVp1mIxe+6yt/sTIXD7nCkcYrF+TbS5O1hQoPT9s8zaGkqAXdv7tpWaZpi8bpEit22rZVU1/W6Nie9rzTbO5Kck3K31Ereq466ZlzTTpCQO05J+pKwVx5pnPsL5invt5L/qqMta6pJ8LuoNAw0ArQPU41AW16d0z55lhEMoopZ9ggP1gvGWY2XYGTHWEzvVn/a3qkj0BHoCHQENo7ADtc0xQSeRBLJV4QPCOd9ElNaAGFs+SyRss4RW2L28dKT4LBf5sNEIkvD5Nx190n6pe+0+yKwXo0TySlNDomx/S/8Fo6eEzpb+lisJSjGCodh44hEnN+SKEzL+S6tFUnSToFL/JHi3zxs62kAaErZ2JPSk8wHA5cS1Jvd7GZLpLZrrW9vSl8aJxqGtUTVI7kWie0d73jHNvsfwa999uYompE5rbjraLNC2yvL+KMB4whvvEyplVTXvbpmLC9H2m/sBcOySGKOFbABTSXnrrWS96qjrvEfveIVr5gO7BWJTJ4i6as9lce9OqfNotFp6606qgzHqSah/V3WAK7RPPGfaqktr85pzDzf9hm3edpz7TNGWo2TDdR9n3Yngk2njkBHoCPQEdgEBDbOd+34EsI0Zwxn4bTvp1GK6Hjpw+Tod0RkyvvSrZcC2oV0sZ/vfCxId0mS10K0O/xTwkk+bdBJjmmWwtQutZT8lWiBdiaFg/sYJhkLrWuYJe3M5ux2Y34j/k20id7tqaapHkCYk42xyF8RE34xc1rI9fo0Vd39uOsgUBqnMKMdwzRs12lYb0lHYJMRYPGw1u/sJjehF9cR2KUR2OHR8/B5pJ5s8G0EJyKNiDY0ASKQsTMX6YwfSCsVla9IiFq+Luyv2TfzXRIO1NFvvix9Y9tCa/c/svd+05vetI0keXs94ychEhM/JX5GiN0+DQFJOT8PGqCdSXw++GpUOGkhqzutDgGaBRGy1urXRAstLLZw4cuR/Y/41YiWRVMpgt70zz5J5ilbG3TacxGgcQphXH6jWC/MaR333N7/o2fel1jJbEk3Q8CQ+xrRwFsDiFS3EvFX5XM6R2GGmWHsp/dWymMdstxcwH8uAphMi9uS3wfEPmZI/6f7U+aN7fwTUl1kwY2Q52x7jbWQZ0HbL7x6PcuVMF1N2cs9x9XkbdN87GMfG17wghe0l9Z9vpG+WW+wHihaT//k5/O2O9PcuJi7tiv3cYeZ52GAMDJ24+ZszbF5e8TpUwhZoWmZRLSOnRgn+z0xcRLulgO+oA8CQDDJ25Wc67fXz35/eQQwTMaNvTfWShhwE7qPkAU2JsnH02KYiedqTHTWWmebXiAJ47BMkMKXIh3WLcTLXEh6gSiYl2oP5/dO20dgvQyTkoWsNlGvRAJ4+LAJqTxn4utZWky3NHetvd/Pd18EmBVWePfdtxfrb7kFG2axnbfWX9rSnMWEWuAy0d/ewnB7zFvdFwBKwB0mmXVtac3/+PWDH/xgWeGZOUCQkTmyD5r1xmYtyplsI0I99a6Gwp8vgxgJa75SH1dTFkERs/XTxCbVayHvxYEHHph7rFnfocJ0LRip2ze75uaN9kc79Mm2I5tBNU6rb2sp095gYZWwJMtq+tc+X+uEEv4uKWiTf7R1bnLRi3HRlrsePNv8O/p8y5kmCwk7aZPwr3XweolErfJHI0AizyfFgglZkNq41h+79vVEydvRgPf6Vo9AMUwibq2FTEb2vbDPh/0/7NNCI4Gptt/Mgx/84PQpsn+NyF2bTaSEIj8a83xUMH38b+xPYsFu7xn3kInYh8KH2QfYfjM7k/h1ka7uaoSJ8Yc2wjDJL3oaiSzfoTmpKsa6mFebqfL9wWgXHRJ7wNnrxbxEqOMZ8kuzePr2t7+dET0rbT92BHZXBOyZRANuj6+aE2hdRTPkQ0jyHoGWUgtHo29eFb2Q1kakO++Fb7IIt0Xm4Ec96lFZBqEDfziCLUwCf2Tvo3mb7xhy3ftm36ci2j5R8DAX6rLxMxJVkh+dSKh8Fs3BNrHGUCB5tE8ESotpQjQbLM8RX2v+pr4fiNCXTyxBrT2+lGGvp9qkWT9htVy5+mm+wcSZW8wVtJeFW+urV+3xzVCmdRPBDWscayI4wZFWCJaEc7Tn7v/oRz/K7PLB335urG9EobQYhom95/jtTplTz1NU45bUY781vsW+W5gge6rRiumT75t8/NJ9Sz3L8ltUTouRCJj2aTOP89fUL3iKTCsdfH0r+fVqp3oQRkF/9JMmklbLODQ2aP9ZGLE6KvL9NxaMC/585R+v/8aSMaI+zxSWcDZ299133+xTPSffYt8JQnnribZvNul+yUtekriK7EiYYNzCQXRc3wuKAVZPMJtqDglIq3/wVbfvif7Z4Btpl/bV86UooBzwbvDntIbQl2m/jn/84xcUiYNnTblgfLDqsqG4cUspAVeWEsaz5yIuACa46qx9yBQoYq0+ants45MRT2ucmSvgYJzVmNF+lmT8V1uaYtfeq/fCOs249V6wPIOrcSXmQc0Nbb4deh4DbMvInif8R6JDm/YXoWvHcM7dsjb3gncuAjVW1hs1j/+B/WCUExPZGB/8PLfPT3wEx/jg5p4u7scEMcbEuukdVo/yY1GQx9BqZZQ31/QrJrwxPgoZRSwmlUxj36GYXDe9LXtKgfHxSJyCYdqUPZrgMufTJKqiZxRmk2NIT8f4IOfzig/UAkr7C4U58Bgf4zEWj2NM4tk2+yjFhzzTxUIir3nWyuzUEdjdEIhNV8dgTHKO5FNqbMficrQvWTA3GeE2FmF53ZwnMmgs4MbQpOc8G4vKfDfafseicIwF1hiLoDGYmbwVVgS5P1eYYOd+YPUOuSnKob2SWtIG75267CkXjNAYzMMYi/hMZu+yYBjGEGyMwTTlPFt5YgGe6X0nvNsh1B3rXtWhb8oQ/TG0HhkdUrRI+5ch+5rFwjoxEAVSWXPlVnnaaq6JRWT2W2TgKW7SqhMVHvZGs2+b74KIwfoJC76WcInF5yhKbCwusx/wKKz4fNvbLbR3YwiJslx7lelHMCfjq171qrzW/tOXWCy3l8YImjSG2d8YDE62T19FJQ6mJfdDg7M6rcmcV9sLU1gWRgo2fwejOwZzuQ2evs2i3aoDiXSJYqGce7bZxyuCNmVblG9+ho19OcNMOtP6x1e57oWgcozFfD4rZQfzP4Y2LNcIcAxGLjFRtudkbNdzsn7ls+rZ8vPSD+nUrVzPwBGWsdH5GELPfBdEbw4GKCN6BhOQftP6Yiy2VP2DWTAjI//m6d5xnq/6jFPtmY53+Lb9MuZbUrYxDCd5Q6szxtYq+az0PZjHTF7PRf/aOqssz8ZzNz58/5SFzAs1zuzxh0QcNWaCeVo8w7wR//Rlip1rsPde2GPT+1/zibqCkc9rIuW2+7ZWmTv6uGU+TbhnUcpEn9pMIkkRzUj5nfZMBNarYSI5EgWPbTXym6aTlIhfEykLqWe8kCnxsh+TMcreOF7UTQOT9oEPFskMDekjH/nIISbVlLqQXNmzJj40afplT6mYjFP6o9+dlkeApGk9PkzTEuPDkFLTCD0/vZUSYBIyUdNEliOttFcLjVPRmc50ppQ+MiUi9SR9Iwkm/dwK86Wqtx87AluBAMm6iJI3j+iKRbQUtAtMiiKQTu65VffMo8Y+jSzptTFPOm6fO0RCb54VIZcEuiU+nLQJpM0k4C2RYCurfYdoCezvtRxd6lKXynKYPJcmWlqSePMFbVar+VC/fbzMv7FITWn+tGxtDoYxpfixUXLe5hpAe+b7wh+bJF571aOOlcrVVzgx0zZ/LYfbtB32COOvSVrv20CLpSzaCLjEIjbbAC9tackeacFopU9m4eKZ0m7R0E2xp/XwrQpma1GM76dvpO8XjRYNv77SPsTm03m9xdn5lFqM3KOZor2jDSk8acOmeFY5tGK0a7Q3NCPBBGSb3Dfm4EKTUX10nZbRGtE9VgWxqM48wWCkpRJfVN97c7c5PhbtOUZgax6v56Q/IvDSeuh7SxXh2bde+z0rWjP+b9riG8OkVR1w9Y1fjtTDWsoY8qfPRfAzfgtH6xXPrsa75zPtV+V1VDb3FljAnRYW1iwlrFGY/KF6LjBu68yb8Y8ljPzGh++fceC51DgLJir7DVdpjRlr9CluyptiV3V4L+BvPHtuniNNGh4iBAJZ33Sftcq7I49L37RNqtmD5DNisG4VKd+LMVX9bVV9vdwdg4CXzEd1pUlmuZYYbyYcHwsvsY2OleMD35JJyPjx0bFYMNFJK6/w0SaujZAFQ4UlZrZBzawO5g1InUwbLMyZQ1A/z5lnbKQNe2Jepi1rDfowhwOTIszqHPmgICY4iAmwMWECbwkjZfywx/ZhMtn7kHTqCOxuCFiI+mvJHMkkz8LZHwZjSsyxBB9AfDaY8SEmcIiZjgBNSFkW+q7Vht4WlKshQoy5xVeb1zs4XW9YfLULUOlt7eB9ZgomiMscmYtDop23ajHO3wpzyXSJGRJqy1+pXN8T5nOImdZyuGWC5p/vCOYOw1BUZVmIK6ttQ6Vpj4UL4SFmwHPE+HkGLTHZmpoqKlsbCCGdFxE6KoMpFXMxBN1DAABAAElEQVS7lWi59sGTyZV65/CsMs2/mHeLcYt540c7CUGLqo/1e+75MUEjAPCtbYnpnQU+F5LC1n3YrkQ1LpgYGuPeEeaevvNF1jHGkfVHpa97yx2nfYFfaN62SV7plutXm8H7iBnSVumtOXzPCHWtQaY0V2c7Zo0l76Qyi6o9npE6pmOm0jkWFoUdk0PU1lHzicBY1vjmmUP+aVqZiXfivy1hmkgzphPYZvdR+erpTNNmI7tzy2Nri9FZD3lh2U2vlrykJgALZJoEGic20JgbEsbWNrgtk3Qm1N1pj95enzsnvSVFIuVjs2wy8fH10cO4mWRbSehcGf3akL4A8NoMxsT+QphkWqSStBXGl7vc5VL6eEDY7LPb5jPheZGsFhkzpO3sxDHAJOzSm5Nc79QR2BMQ4EdEUGERRMJrYVR/+mduIyygsbU4xDjQhhCaYohYhdQilZBBGmVZdJN880cxX1eZdWyxM8+KglrMmXuVro7tNec1n9IWsTLgg1VpBYU4+OCDU8uBkanrjkW1piChJ+nGsPku0NDwp3AkMLFotKD1rRAIgZ8M7UmVW+VZ5MODJN2CFE5T3KStdlebDjrooPR/4ieC2YGbOQnu8KQB1EaaKMwFxrf60Zbl3LdRGSweYEobiCFD5q1DDz00hXt5ofkXm0anxpBGAVPB5xWTIHAR/xLalWqvbHVexxYjQSKqXfuGDw+NHjyVAU9YY3It6jGnlVYbaFgwcBhzz8fYqb5WXdVsz0MAH4yV54NZwnj6nrtn7NFQGhfGqsU75k/ZhJ31nPiMVR1t35yb+2HJv44gD/kWYMQJCLSZD36Ycg6xmX1qg9qypK/+te1vz6XRbs+XprN9vtLJP9ev9hvk2XrOxp31jvQsXfj5GQcl6Ki2TOsk8EU0W56PcUuLVj5kla/aI636aJmNGZhjSluaYse3Tn6+bDSy5hNzh+uele+vcRFmkPk+e3Y7lQLUTSc2itGpLf9TT6eOwHoQCHOEMVTSS8ZoTNxjvOh5jc8K++BgzLfZy4ndLd86NubLUbzkadPLVlc5MTllufERGWMyHSNgwHJZ+/UdhEB85PKZTPdp8nza+YvvG5vuomB88z7fhpAwpv023834MC3GRPdpKrT6cXdGgN8GMs7bY/74578w01n8LL8aPiCVx03+Lsic67rf/FP4DYUWIe/51+apiyGkqNM8tmnmztvyYmGYZbbp9EmZda2OSyqJH3xbUN1XrmvVl7qnDjQtNy82//S1pRY316vdday0sbhfUqf7bV7fGn+obWvllz5MxdIHybVgntJHqu7zLzPnLUfyV9urfGmdw6K9Vm1vrzkvjOq+/M5XwrNN63nxRyqall/X2+N07Lqnvnqufk/HX11zRG091Z66xv9nSsprx6vzdqy16au8OrrXnlfauefrXrXD+bRfrqEQQGcf2/Hiev2uMqb1tnVKX6SeyuNam296XmOm8jpW3ha7ulbpqm1+B3M+huAlb0VwlpEP+M6mLdE07VQusFfeEVgFAqQdJIakZ0z5SDludKMbpdpZNKAXRfQe2id/pKwi/JA2knZRa1N5k5y2tuFMu0gxSdCol5kSxESSrSFJI3kijSrpziqa2ZNsAQIx8aekdDnzHBIumiNSY1I5ZhckdUWkuyRoJKIkZMx9SCcPO+ywJeOh0vdjR2B3RYBJHSqJch3b/rR+BkyjaEGm5nTeE0QCT/PuPgk66XVLc+XTkrTUppk7b99VkuopVZ/qeltGXXOsrSLqvnLrWqVzr+qYlltp6jjta4ubNNXuOla+qem2+23ediuWtq2VX3raKt8dWghaKX5dRczHaLCWI/mr7VW+tHVez9a1anvdq3SFUd2vtCvh2aY1BtpxMC1feVOq59GmndZX/WrzttfavNWeutaap1X+Nq9rbZsrTR2rvDq63p5Xurnn6161w/m0X64hWjnWGdP7NX6qjGm9bZ3/KOkf/6fltPmm51MslFD1tdjVtaqn2uY3Cw/aLt9i5ZUpZ6XdGccj4No2u2ILR6rqraYHhwOfujp1BNaKANV0Ob8K+zqlkKClwy8GiZMnZ0+MknzU74gaWejUoic+8Ym5KKAGZ1JCFY5ZYtJARd9+XCpPP+54BJ773OcuCVtqQcG5ezPpNa95TZqCeObKNh46dQQ6Ah2BjkBHoCOw+yKwVISz+/ajt7wjsCYESDPYty9HpB+kNP44vZItYJhC5Zz24CLWtMwWh0V7Q4guw8G1L5KXQ3bnXw+ThfQHoBGkdQrzidQKbmbLjI9OHYGOQEegI9AR6AjsOQh0pmnPeZa9J1uIAI0BlTLnUhuYCjVapnmclJlqiQLDybczTFv4IDahaCFTBYFgZmezYRpHppedOgIdgY5AR6Aj0BHoCCyHwBGXu9GvdwQ6AksRCMfSjBpD68Q/CdnzQSQ2zJRITW3I0aW5+6+OQEegI9AR6Ah0BDoCHYHdFYEt0TSRunOu32oSSrJTR2BHIWBTP/tLCBghQIAws/YO4OQqYERnmHbUk9iceoSW9yy3mgSK6NQR6Ah0BDoCHYGOwO6NwJYEgti9Iemt7wgsRYBmSUS1u9/97hndhvkd537X7esgGMmOEBIsbVX/1RHoCHQEOgIdgY5AR6AjsKMQ6EzTjkK617PbIsD/RRS8Ipv72SD1gAhLfbGLXawu92NHoCPQEegIdAQ6Ah2BjsAeikBnmvbQB9u7tXkI2Dn8hS98Ye51IJqeUOLTvTM2r7ZeUkegI9AR6Ah0BDoCHYGOwK6GQGeadrUn0tvTEegIdAQ6Ah2BjkBHoCPQEegI7FII9Oh5u9Tj6I3pCHQEOgIdgY7AjkXgxje+8fCgBz0oKz3ssMOGN77xjYONvW3yvbPIZuI2iT700EOHv//97zurGdvUe+tb3zr9WR/zmMcM17jGNba53y90BDoCey4CnWnac59t71lHoCPQEegIdAS2i4C95h760Idmutvc5ja5iffLXvay4aY3vel2864lwfWvf/1VJf/IRz6SDMmvf/3rjFj6vOc9b1X5dkSiz372s8lM3ve+9x1++ctf7ogqex0dgY7ALoLAloQc30X61pvREegIdAQ6Ah2BjsAaEDjKUY6SQW6E47cRNPrOd74zPPrRjx7+8Ic/DEL18+18+MMfPvztb38bvvKVrwwHHXTQ8JznPCd/P+EJTxiOc5zjpKbKtSMd6UgDBuMzn/lM7mtHq2X7hqMf/ejblFnNlP5FL3rRko3C7ZP3qEc9avjyl788XOhCF8popl/72teGD3/4w8MnPvGJ4ahHPepwq1vdKtOc85znHB74wAcOr3/964e//OUvqTm7yEUuMuy77765TQRm8FrXulbme+Yzn5lpREcV8Ee/aNi+9KUvpfbt7Gc/e9bp+qlPferhT3/6UzWzHzsCHYG9DYEIm9ypI9AR6Ah0BDoCHYG9FIGLXvSii56f5jSnGR/84AeP17zmNcfnPve5ef3Sl770GNqo8bvf/e543vOeN68d97jHHSOy6Pja1752PP3pTz8efvjhYzA141Of+tTx5z//+XiBC1xgDE3R+PWvf30897nPPYaJ3RhbM4x//vOfly3TjWBYxlOc4hSZpv0XjNQYTFiWEyZy4yte8Yrx/e9/f5b5s5/9bLzjHe84Xu1qVxt/+9vfjle4whXGL3zhC9mPW9ziFuPvfve78TznOc8YjM8YgX3GM5/5zFl0bB0x/vGPf8x+XfKSl8xr+vXxj398jD35xjC/y2vBpI3BHGZ/IwjQGMxiXm9xywv9X0egI7BHI9A1TXsbl9z72xHoCKwagSMc4Qgrpo2vw4r3+82OwO6GAE3TVa5yldQMBfOS/kTBgAyPfOQjsyvHOMYx8hiM0nD+858/tUqOtDgii9L6fO5znxsufOELD8GA5N+Rj3zkIZiTwfukfD5Kc2UqWJo5Xyoapfvd737DEY94xNwfLximbOelLnWp4UQnOlFqv9R/7GMfe6AdCkYq28nv6FjHOtZwlrOcZbj2ta+dkU/91oajHe1owwMe8IDUNDEFRPp1wQtecAjmbvjJT36SbaFhk7/u50n/1xHoCOx1CHSmaa975L3DHYGOQEegI9ARmEeAOR0m6MlPfvJwk5vcZLjSla6UTMnTn/70NLWb5moFC84JEk5wghMM/KQQEz4ME0YFw/PXv/51wERhdJYr83znO9/wpje9aRFoAfNSZdruIbRaaSrXtmWuHdu7f4c73CHbgOHbb7/92uTJvOmLNjPJw2T5+9WvfrUkXf/REegI7D0IdKZp73nWvacbRMDHHvngd+oIdAQ6AnsiApgmdLrTnS4ZnTBhG+55z3sOYfKWWpjjHe946TeEmUCYlWJY6jxM4VLDxG8ozOXSh0la2qerXvWqw+Me97jZMqVBT3nKU4ab3/zmw7Of/ezU+GBuaIQEqTjjGc842Dvvla98ZWrDpnXLX+2oY3utPdcefdOn2nuv7Ved85W67GUvO5z4xCdOTKpOZXXqCHQE9h4E+j5Ne8+z7j3dAAKciX3sfUTf8pa3dMZpA1juTlm3tzjq5nm709PsbV0OgYtd7GLD+973vpzXmMYVs9Ce07IwUxPkAfldDFabrj0XvEGAhipPvvAvShO6KqMt07WWpvm9b7RWxzzmMRfJqr56F72zda2OErfnbdt///vfJyNU99t77TltE3O+SkeIFn5QGYhi0Zh+0hHoCOzRCPSQ47vg4xXG1Ieh066BAIYpHIzz42jvEuelddo1Wthb0RHYNRD4/ve/v2s0pLdiTQjw9XnsYx+beVoGpz3HIBXDJGExTM7bdO25CHntb2n5HBVNy6zrdZzmxxC1DJN0Vb57JeSoa3Vs0zlv285ssL3f3mvPMUxtOqaFTBc7dQQ6AnsPAqtmmt75zndm2E6b3vn70Ic+tFug9PznP3+w58NGiZTpTne606qL4bT6zW9+c5v0BxxwwDbXphdsnhfRhxaXN6sPiwL7yaoRaBkmjCypaGecVg1fT7gOBIRkjuhlmbM2GjWHkXAXkdabh1v69Kc/PbzwhS/MENCuc7Sv+foDH/hAm3TJ+Xve854lv9/73vfm78r/rne9ayCNR3xJvvWtbw1MtiK62vDWt741r/vnXbne9a63+L2aE2ZXtAnrIaZapV1YKf+BBx640u1+LxC4293uluZvHYzVIyBE+f3vf//VZ+gpOwIdgd0egVUzTWyIaUB85Bwr0sxGEVjtZnfrrecHP/jBpjhucmb9/Oc/v+pm1MfcYuOWt7zlIt8Xv/jFxfncCWwtiCLs6+L2ZvVhUWA/WRUCLcOEWSrqjFMh0Y9bgQBtzUMe8pAs+ra3vW0yLK9+9auH293udovqbDzqt402EUbHvjSilb3mNa/Ja494xCOSufnNb36zYHryxuSfxV9LFtBIfnvV2F/HvjgERxiot7/97RklTVSyilAm/bvf/e7h8pe/vNNVkz1+zK3rodpkdHt5tzfnbi9/v98R6Ah0BDoCHQEIrJppstEdZ0jOko6xB0MyUJiel770pYmmze+e8YxnpNTKZng++CSPJKc0J6750NtYjhTTh5+U030fT46dnD85gbYk3Q1veMOBBqY+0g972MOG2JchN8CbltvmrXMfzle96lX5UzjU2Fsi69Te61znOgMprRCm6qdRqgg5b37zm/N+7FdRRS2OHEjRT3/601ywOCeFfcELXpDtxPxY/Fhk6DNJMbMubYebBcmULI5ucIMbTC9nGNfrXve6KYEWCtUGg0Wk0q7FvhXpdFvX+3H9CCzHMFWJnXEqJPpxKxFgnmTuMI9gXore8IY3DE960pOGl7/85XnJXGJjTmZWpaViqnT1q199oN0WQnqtJD9TVNJ0zNiPfvSjFYswT4u2NjfXyihkNcbO3Bf7+ywpi7bpQQ96UM61Nkc1VwpdbT727fnkJz+Z6W1s6rfQ05i4Kc3V4V0255pXa84ViMB3i7ZMuzt1BDoCHYGOQEdguwiERmRNFHsVZPqQho4//vGPx/ggjbH79hjMwHiJS1xijDCluaFdMEJjfODGMOMbg1HKPNMN8sLJcslmdza+Q7/4xS/yWP+CockN71784hePsXjIy7GYGMNkJTeym5Zb+RxjATGG4/4YEtLR5ngoTErG2JF8DCYpN7nTl9DmjPvvv/8YH+IxmLcxGKfcoM9GfiGpHcNEbpxuZGcjvdiRfNQuG96FVmkMu/DMX/Xa5E+5cEJhE77Nxnl545//pLUhYEvKskGftoXWagzmb7zc5S6Xmwba1K825Tv44IPHYODarP18HQjYfDEk5mPYztuEZ8U/aWykWM93HdX1LLswAtt7/is13fyyHgqn/EU2G42aP2PfmDGESXk9zH7HYAByPoj9aHKjzdBQ5/wUgpWckyQMgdV45StfeQxGZgzz6kWZ0xNltFS/5b/97W8/2kg0BGCZ5JnPfOaiHYccckjOi26EkGmM/XIyjbk2mJo8N9cGo5Tn5khz+Te+8Y3c7NRF853NSGvjUpuG1saltfFoCMUWZUe0s9xkNJioMSKeLTYZzQri31wd7WalNmxFvlXmdHO27475v9PaELDRbZiPri3TJLVvWZg954a3wQwv1gqTZOv+aV0SzPG681f71l3AKjNutJ2rrGbNyUJoseY8MpizPNcpbXY/QyCUVZin5uqb1r+jnue03v57z0Fg1ZqmKfclRGd8QId73OMeqZXh74FicZ9SSfff9ra3pbTwpCc9aUbaqc3sYtfwwQZ5nDRJM212h0hJmXdMzSmYAt75znfOfRvKLPCsZz1rhi9VzrTcLGyV/2JRMZzylKccYtfyIZi11JLRfjEZIdVklsL5dc6MkBSWFikWR0O8tGkiw0zmile84qL2ffbZJ/tYYarPcIYz5MZ5QrLae6IlbTjJSU6S+LXXnTOFEYUIPqSlJLA0S69//esXmqlgrjIk6jRv/716BEilPVdjoDXJW64EaQ499NCU6McHYblk/fpeiIC5ZSVfotVAwumdluQ5z3nOQNsdgqp87+1Zw5+IBojf0/GPf/z0taPpMUcw8zW30t7IK1zychSfs8WtigxWF0QHs5+O+Xwlet3rXpdaopXS2DQ0hFCDOVBUsjLLUz+fLVYJHO9px2j+a+NRWiHzvjzeN5uMsnRQ3pTm6qg5N5ijxZwLG/XBV9jpEH5Ni+q/t4NAO27apFOT9Pbe9Lz89D72sY8NJzzhCYdnPetZ0yQb/r1cOxXs2y2s+XJU7Vvu/mZeX66dc2uPzax3pbKma7GV0rb3VjK7Xa6fbf46n7O6qXuO1b6V6mvL2KznyYqIxdVytL1xtVy+fn3XR2Dd+zQ99alPHU51qlMND33oQ3P372lXmcxd5CIXyYW+RaiP4dxmdhgni01MRWh/knG5+MUvngyLMn0oMUzs1zngY1JaWq7cNo1zzFUxXHNmJtp25jOfecmkjRn74Q9/mEVNGRwXhaC2SFH2ve51r+HhD3949sNCpkj7mM5NyUd7OnkwE2GKM0dVf0j3hpOd7GRpVgIni6WQnmQWjKu2dFo/Ap/61Kdyk8Pa6NCCs7CflkoYwAS1iMmRBVinjgAEvI/M4giPQqOyLlDMjxaT/k596lOniZxNP+9zn/ukCRvGzLxhrsUAmGstPJkMI4zH9uYE85V5hR+lRYh9cJA5ypxor51zn/vcWWfemPnHj4ppMVpuruUXW3MhholAqWhu41Lm10972tOyXd4rcymTvGK4yoTab3Op8laqYzrnYkBFcqs5tdrSj/9AwLjyvRVdjn+bbyQz0W9/+9v53fP99y2FfXudwKlM0sMKYxHdzpqAwNQz8r23ea5gScbCwQcfnCb85tuaU10PbeaSxSkhIcGWACfG/L6xKa00vpvGKZNOwlxp+OoxWS2GmPuA9Bh8LgH2nVKvdQGBKcHCNK/2eQfVqz3qDcuabYJmMAtlYqoupvOYegtnbTPGrJN8qwlAfE9sHuzd5CNIkHDXu9510U5uCnXde1EuDNZH8k7LtO7ADBCmEpKEpjiFwK4jdSP9J3TQvnOd61x5bfpPwC/BZAiSpbc202aBX6psz3FaFoHvtD5lK897Cm/kHZUWTZ8HU9m27/AikLTGskcXQYpxBU912TNrSvX8tZtvpufRllHP07MyFkswbqxIS3jjO26uEE2yokXOjXHz+s1udrPEC0Zf/epXc+486KCDlowrQiDPBvPGNSQ07Slgat+ZsByadqX/3lURiMGwJirTDSYYsbBMszEme0wsYmEwBgee5TEni3CcI3ORmNDSvC58fcbLXOYyaepR5hvBEKUpVEiaxmBCxuDex4h2tKRNMZnlNWWFZivvxaSzSDNXbt2MSTHN8ahu5WFyohwmIyEFHsMvqZKOEY0p76u/VPqh4cn0zOKYxE2JyV680Hn5tKc97ch8BVW9zqve+LjnuWvMuUKL5TQpJr00wYmXvS4tjszzmIDFR2GMD8UYH528x4zFtaKYqNP0pX7348YRYLoT7+7sX2gLN15BL2GXRmC5Z1/XV2p8pWHCGQuolZIuudea54WWZAxGKOeeCMIzBlM/MmMqMl9IE4vanEeZ45kXzDXxQU8zNPOqeXY5+uAHP5jzknkxBDFjfOAzKRPAYKLyXPnBwIzBkOXRxVi8pYlb+HGOYSWQ6fyLhdlizlNmLLbyXggZch7Tv1gc5zWmxb4ZH//4x3P+Y0oYjGZ+T8yh2q4fTLAR82d5Qvo+xsIv+/nEJz5xjAVY3p+rw7yImN0y70PM82AFW+V32haBqVm83/VtZkJvTPseT69PTdKr5DmTfc/B2iEEAWnSGYxJJR9jYbv43tdF30JrC2PG/BuL5/weBnOfScqkk+lgma0zsUfqMu58Pyt9+Dbn+PQezeWt9qn3gDAFM7bDkmSMxW+WWf+YgMKB6axxCR/rodbcX9rWrWDqjlDtbK97j/02dpcrU93eH2so6xV0vvOdb4zF/xhM1hiL+Xx/vve9741wqXoyYfOPab+2c7sI/8nEeM6dYM4dYlof3JgEe5etvVqSFknjeTDtLbeP+qbqq7Hgt76j6Xh0rcqCtXFUzzAYuzTpnZZR6ebMgWOfsqxP/4OhSlcTdSB1G3dI28otwjpO+yJIWN6TxnxqXBkzxtXUXJlryLS8zNz/7RYI/L+oL77wqyHaF8QEJAZ9Sg5IYvwxTSMNRNTtpBM49rDHz4hwMaDSrIy0ozh4GiuqTtIDzs2ks3UvC4p/JAVU/iRepV6NSaJup0kgc7W23LrJ8VjbEAkCCQPnauW4blO/IlIu95E0iGSpzZMXm3/xgmQfXSJBqP639ZJ+KEN91W6SNpqzIiHK4dRKX+seCY+8hVNdF5SjNQX86Ec/Opu/0vdjR6AjsLkImN+2R+YlGidSUnPmaig+timNN6e0FF+VReAd180XJJzmHabS7tfcRcq/GqKxNjdO5xdBJmruFAzCnFn9VY82+i1dSZLVR9M0nWtdP8UpTpEmhST2tecNKbq2m/t8M8z/NGYoFh3bzPuk5CwP5K85vI3+N1eHchEz8NoqQ7uZN+tf7dOTifbCf75h9hzy3NoxQwMDa9qkfUNDQ4NhLJP8k6wXTa8z5YRvmaRXujLZd4+WviXj2Dio76d7nrGgIFNiqu6ZMdNk0u876DeNozy0EjRNZVnS5hdQylpDW2Kxm++POtW/vbw0WTCidaXxcSwqs1C/tYNGIRbXqe3QlnJBKLcC6codgWZi/0YTPb0OL/mtvebKVLf3R3+0S33WG7RZiJa6XBj81oc5koZG17Op51OmrVW2vk3LmtbHxQCxvvGO1Xw0rVO/ps8DxtaWhUn1Xd52PIaAelpc/p4+Q8+2LUMicxeNkmAy7tMEhQAg5+jwy8y+B7M2eC+Kzna2s+VcRKNJc2fMKbfGuHWd9SONknYaT+YWxynJNy2PRrHT7oHAtk90O+2uj6hkBmhL7YQnspwXwgvq5SlGSJo6r7wmMWSATe9VmvqwVf1tXdLMlet6pXeO6gWu63X8x93/v1+/5/K099r8bZva685rIdCmac9NbExu5qjKKpwqDRMc5jlFcy9o3evHjkBHYOchYLHpXV0N42ThwDTE4m9KPrj+Wqp5ZDoft2mcVwjxuq4cC4DyDZrOLzXvVPr2Nx8CQjHmKRZWc2ap07mWGZI5qp2nqu3q0J6aJ6vO6bzvevWzbU+l314dVR/zJAueamPl3xuPGPkpM29xjGFqzeL51DLBJJzDqFZo+ul1UQktsouYVHpmzLpak/26v9IRE73cIr99D5xbDNsSBQO4bzB5ZWI9V36lNx6qrWvN25ZbZqHKJRTAOEzN/dv0zufcEeauG+cEFHMuBG2Z1ScMlvSeof5hauZcI2Dr2dU7gZHElKESiFT5Vba0c2W19ZXgGRPB1DI0ONt9z6p8mIi0vH8wkRiQ6rv7d7nLXTKCKGHzO97xjmra4uj5T0163awyisFxbc4c2PWiak/9Nn5r7BNOES7UuCGUIYxhzkpYjgp358ZvMfDlGjItj3C+0+6BwJqZptV2K8zZluxPtNp8e2s6Eqi1UisVXGvenr4j0BHYsQislnGqxehmt26OCVtvHeYrPilrobltG9aSfzVpV1vHdFuL1ZS9N6Wx6KO1s0UIKw/+Sxar/OUswvkDWVj6m17HfEsjgAEfldOd7nTpG8wHBUOFMbZI9P2qMurYYqxeEvkwK1tcbtPNnWPeCWwxALQBqJjrufT8kwh1MQ9zeStPHZXXnvuNMAo0YN5xi+pznOMcuTCHgf7SYNDQVVvClCx/Y66KuXNv7rp28Z8WEMVif7kytavKxwCq07Mwn8DEMyMggQ1/Hlur8LMpf5owdcu+ENrAvtU0t2XPlTWtT3qaOEwTf632vaw2tjg6p+kWnKXFRCAufpqPecxjhpOf/OSL8ci/E7VlOZd++vzbMqofNFk2x+a/iaGhEbOlg/uobZvf7RinCSPcxzTBL8yD0zdKX2n9+dF5/sYVBtbRmPDcMHY0pNPy1NFp90DgCPEQ/z900u7R5t7KjsAOQ4CanqnFHLnX7p0zl6Zf270RqI/oZvbCosWG1ctJ0Dezrl5WR2AjCLRm8RalpUUoDV2ZSM5ddw3DYInhPcIAtSb7zPndx6ChKqttL61Nq5ls07TnpVWRd9rmuldHadpzDB6ywF0ub1tXe54Z4x+Ggxl+a3rq3hSXtl5pW3eEuje9rpzWdHalMqsMeWj4PDP9Qu5h6iz4aYYwYvahxDC2BANzk7xtedPzKqvytvVN09Yzlrbu1bG9tr2+L/d82rKmaZRf+LXpjMvWHFi69tm25+5NcXe/xrhyjSMapPpmtOOq8ntvqtxpedJ02vUR6EzTrv+Megt3IgKdadqJ4O8CVdcHcLOaYpG4kWh6m9WOXk5HYEcjYNN3/skW5HxxaRX2FIrgK8Pznve83aY7fJ9oWGg9OnUEOgKrR+AfERJWn36XSGlPpOLSq0ECKQgnOaXYwDCd/trr1P3sbHcWsY3V/rm2LdcmEhg2s1NaSxnTvHO/q7yVMKr2z+Xv1zoCHYF5BHY0w/SMZzwjfVLmW7PyVXb6FrlrJWY6a53b1lLHXLuqzrWUs1zaleY9eQTmYC7Eb2araU+bZ5ns69OLXvSiPYphMg52J4ZJewV66AwTJDp1BNaGwG7JNM1tZLaclSEzmNrPo6BZLm3d3+oj9Syaa9tKdVe72feWWdhay1ip/LZNVddc+mr/3L1+rSPQEdgWgR3NMGnB4Ycfvs3ct23L5q/YHNf+RWulmpvXMi8xnVlpo8i2DXPtqjrbdKs5b+fRSr/SvCcN34cIu53+IJVnM498JIr6PFtI9GNHoCPQEdg1ENgQ0+QDc/DBB2cEJWp3Hy+aCh9A4cVFQUGiqAhJy/nQh8CmgqSDHOM4hiKbx8lLitdqkWwaJyIJVb4wtkUcTK9zneukQ6lrETc/7VZFfxFB5YADDhi+E9F6UMTET4c90aMQO9aKYmKTNBGktEW0FsTZVeQ/bdb2loSmFN6cEyVmTJ9JmfRZvaINaWuFZJ3ra22w1pbr3EZwhx12WF4myRTaE8FNm22+hlkiqYt9BhIz96f9c61I/zwj/eObQ0vHlIDD6VzbKl+LkXbFfisZMYnzY7XfcxIO3XMQGtazJUmsdnMktXnc3DOpevqxI7A7I2AOXO6v+rUZDJN3mLYZmQ/VaZNOG1t7N4XnZlfP5MbcZP77/ve/X01IrZF5iUOyNNLKY14Qscq7q0xR+5RXobkXBcRJzQPKMA9wZubcri7v+XI0nf+lE0TCZpY2EzX/1kaR2lFzrOht5tjttcv96fdgbm4yd2J4fHtsYj2dR7Wrnffq24CR8W0wt5vfzM3wmeu/DTtp+Djf+6ZpF9wFnuA/os+21kAsB3xnOKT7fvkW1kacvisrzbP1reV8LliD+XxXos3SksF8RwXtgHdpEav9ZXmxUWxbSxjjXbAFz3yj9Ja3vCV9k/iHlSXKnCXORuup/Bt5HnNt3UwtcbXRusZm296l8jVSN4EHAU2njsCGEIgPzrrJBl3Tze7CByQ3/nrJS16Sm9ja2CtCReYmhPGCjPGhH+NjnhuohaPcGNFrcgOw+IDnxrI2xosP56JN003j3IjwqOOzn/3sJZvUyR8vxhiL9zGi8uSGY/EhGV0PJmfJpnTxUV5smjfdGC52q86NE+Nly80if/jDHy7aEov/bTasU5bN52x2FkxTbpaoXpvRBvMw21ftr7Zpc1F81Mf4iOZPmwjH3iiJTURjyWs2pYNNLCbGmCQT07n+VXmO+hfMZm62FpFzxpA+58ZtsT/WbNsKx8JobsO7an9tEAcrG2rGpJQbFNrUDkUUm2zn9Jnkzd3kn2cbL9jsn7Heac9GYLlnX9dX6r00wTCN3qWNUkSAys0+lWOz7GCgcm4Lk6e8blPwWKDnO2ezb5ta2vjRPOF9tMG4PLEwz3k5mJ5tNmR861vfmvN5OFKPyg3mbNFs5UU0rMXGl+YR81IwYGMIc3IOlHj/f24yWfOI+T+iZ2XdNf+b84KRyE0vg/lYslGk+d+mpO2moCu1S53mI9+DdpPMmpv0ueamWBDn5p6hrcq5s51HlYM8K/MWiuhri01Dg9nJPMEwjhHuONs8139tCYYwcYEBHM315opgwpa00ffTfO579ZCHPGSbzTwLy7m+rLQRZzZ+g//CyX9DJfgWBAO6TRk2Idbv1ZLnAfOtIuOwKAQTYzC0+bPaX+O40qz3aJyHaWc+4+U2l11P2caIcR+BHUZrLmQMGnPGiM2oV0OrTbuR5+G9nra1xvhKbdQX79FqKAQZOS+FoGb0PPXf3OCdjH2ZcvPu1ZTT03QElkNgn/iwr4pIBOOFGWJ39cV+QtNN7RQUL0bG8RfekgZG+EgaEloYkpV4ATLkJdMIexuQJJLuIVJL+xW1JESmvTcQqYE/dKMb3WjJJnV5Mf7ZqCxesJR8Vsx8m8VxPq1N6dpoMcpvN4YTWYbdOp8nUonaJ0T5NCi0JqSIIqNUVBqhPe1dYO8PoSaF+YSN/gq3OtfXam97FHSAxDYYt8TRfhg2YYuJZZGMY7qoNvYccETT/k033bPJnX457hv7V2ijSD+ieG2vbfos5Gm74V01hvTMBnHaURvEtXshVLq5Z1L3+rEjsKciYM5Za9CH2miUduqQQw7ZLjTeLRGbhA3+4he/mNoQ76R5dP9/zhveU5JtEayERSa5N3dNN2Skib7Sla6UEc2k++QnP7moX9ntPECy7XcIZfLPez8nxTWHCcNL+1Xz/7e+9a1sj0hSNhf3HTCvKcN8w0KhnWNpiJZrlwbK234PRPGa27ySRkc6G1TS0Ezn0UVn/3lS3wblcZyXvvJ8/vOfn+2/trCyqD2vPB/nQrSbp825tRErjR9tGquH08ZmnZ6P/PVd0Yz4cM/2xWbJvjvmZd+NdiPOaT/W85sFAW2d0MynPOUplxRBks+SgqmkdsCTRi0Y5PxWCzFdWjLP7mlPe1ru0+O7TLtn7NCOwaMlY8yYk44mk2WIPsKeJQcsfK9QMDMZCY4Gdt/4pk2JlQkLDWPLuKLZFLnvkHinPA/aHnv92FyZRQlrCdolGkRhvav9bbk0pu77frL08L5U32gfjY0i1irSumbzaO+j525NQgMMo1aDRgsCS9/pIuuttr00l77tIvXZbDoEevm+WFspyzqryJiFjTFmzQJraxplsjSh9aznp+9tWppkWlbmueaN6XOqOmhaYWLcwkN0ROV7xp6fsVl91D/vjHnAs7DGackacLk6W000PJT/7ne/O8elcVqh5ZVnvLqvLVOiqbcebclco+/qN6aExZ+2A+7GUQhvUrOvz963y172sqm1no4LzwHWH/jAB3J9VKHc23r7+e6LwP+/5dvpAzXqa1/72gXDJDnmw0TjXu3KbkJFJq2TnexkyUyYDEwiBh/ziNBy5L4PJhwfi5XIYPUCYlIM+jZ0pXw+MibTIh86g9XkM3XOnKatPI51z2RpYuIQbB+JdhJrN5fjJK1PLSmjqMpbS1/lvehFL5ofJIsE9anHAqYlGMBkSlXn9Lrf622bj7xJFwlT6hkU1QZxfofkebB3goWiiRqVCeRKzyQT9n8dgT0QARvZ7v9PxmW13Qspcc6zFgct1XtlMUTQVDSdby0gQjuety020dx7WhsyMiXz8UdzefNG/JvOA9KaI5F5waKjGIW8+M9/5rDp/N+WZWHezmcWLRzUza01x67UrrYu5zUHzvXZ5sLMnzGyFrxtvdNy2t9VZnutLX+l/lee6fxrHrVZpz1eLHqLLLKV11JbV82z7f259rX313P++Mc/PhkVDLh2WlwWEVxarDIHs3eQvjDr9L0k+ERw9s22IA0tWi5ECT8x98pkpjgl34laZDMFZaqJmCIye/RuYDpCo5KCTnv/wGaOmJxivDGlvuFwtfiWxzfWAhkDfZrTnCYX2b6xIvrZUwcjX+2vsi3SCTSZUPLXs89U27eWYSJ0tahmno4xEdobQygf5sLeQMzZW5LHu10k37S9l770pZPZwnTYN4tp7Wlj/cSE0HsGsyKCFH3XL3iHxUgyePLCuX1+mMo2LYaYcBxWnm/NI1W2ozWB/ZDMH7CGJcLMaQ/GklClSFsJkK3Jpm2VpurEgBh7bZ33uc99kgkyHzC5gy0m3XjStyLjxbpzjmGSBpPsGbfkeRKaq9dYmmuHZ4fRV7+juRMTaI8v48L4NCZrXGg7JvpJT3rSsm1p29DPdy8E9tlIc0kafNxMjjRLiKSQXbAFs3tnOtOZUorjI+UDaVIy2E04JJ1ePpN+/U3bI48XvzaNc79NW+d1xIhpg5eHP5QXxb02X6V1rSY715zbQM1LiSnhL+ClJO1CJgIvlgmAJNh1k9e0fGmrjpX6WmmkL9JXk2yolHOiMwnVAqraarM27SoJ7Vz9VV7laeuq89W0raQk7YZ3ld9mmbVBnLaYyHzUSR4xyBZ30k6fSbWtHzsCezICa2WYVsKCNNw7aMNRDJT3Clmo+nDT4pCEWjDQdJz5zGfOha50N7vZzVJaTIpvXrYwJfm2CGw3ZDSvmXv4+5jT2+ha5gHCKW0wF1tsWIz6zXqgNs6tuaGOFtF8pMz/FoUWWq7RwNCA2YNHWeZbvkMWmsc//vGXzLErtQsGVVedm/Omm1cqV18xStphAWcelc7cxe+o8isPtXNne+4+7c5K/Z+WNW2jdsxt1rkZG3Fm4zfhnz56Jr6jpOcWuwjTO7VQoI2w6Sc823EP89Vq94xr2hPrAj4pFvYWoKxXjFcLXgtya4ipNcm0u9qIOYY7jYc1gbVGq8H0TN0vzZ7fGAjXpkRjOrWYmfat8hgXy1mrGO/Kb/eekg8T19Jce41ZjIgFOW3ttP1tfufqMM6qLkIDWkPv7/T5tWn1FZOFQbHOwcDBsCXv81TTbH8kjEsxEjRsRdrRYl3XHc0rK9WpbfJ6NnNa8yoLHsVo17U6EvDQPL7pTW+qS3m0VqXFxPiYw+baIaH51xhkoWPOKy255zbVpFsjFtZLKus/9gwEYsBuiELCuLBdDtVs2h+zh+bn0tJvfvObtLuta8EM5e9KV8e6X8dY2Gc66YtCslWnaSPsR5tfXZWmvT53XumU4TykAws74FBhL+zb3S9q++xalRsv7MIfq665P+1r1dmmka6o7vu93Dm/A/nbMtrzubLa+3U+bVtdl789D9Obxe+2TfqsLS2FpHSMRdcivXvtM2nT7urn3adpV39CW9u+mOVn/dnq+tbWvrR08w6q9zI+2OnH6d1syfvnr9LVvWk677EyvcMt1Vw7zS9NOw/4LX+bruaG9pp00/m/rjki6dt5ZDrHSrNcu6pOadrzubkpGCTJFlTz6OJCnFTb27LqvO5V+uX6736btj2vsqSpZ9Le58OB2nRzfWnztOeZeYP/+KKFBjL9X6uNVWQwUWNoIfJnaG3y2frBHy3MEPN6+dX4EQzxGIvIMYII5PogFuOZZu5fLLjHEMSN8qP3x5oimK4855vb+iCF+V5+r/Pm5F9oN9PHj48SHENbMAZjN0k1pt+fbxUKZmwMc708r/bXOxaCv9HflNq+qcd7Fwv79A0MzUT6MclT5RhvF7nIRabFpM91e3GuvZ4DvPnXwQnxb1QnslZC1Xa+g/yiERzLN2zu+bVp4aT+Oapy+F9rB1J/CGvym6/uEPImBtP8ob1atDWEMHk7GOwcP2EiuGyd5o7CLDSzYwh9Mm8wlmMwMEuq8dxDC7i4Fpr49O8MBm4MxmhxfXpSY2muHfXs5Akt2BhMa2b37s+NCxiVX+S0nv5790dgQ5ombGPtDO6cGQVpCInRlEhfWqI+bomUYI5oQ0gaSloiDalFUZ23+du62utz55W/yiUVZQJA2sXchLRrSm2f3atyWwlVXXN/2teqs00jXVHd93u5cxKgKc2V1+Zv79f5tG11Xdnteevb1Zapz9O2tM+q2tg+k7rWjx2BjsDqEah5p95LpkXlK9GWMvf+ud++w357j6tMv4tqTqh66rrjtIxp/pobpnnn3v/2mvTtPDItV93LtavqlKY9n5ubfKNaauus69X2tqw6r3uVdtrOSud+m7Y9b9MUnu39MnNs0831pc3TnlfbNnKk+WMtUG1py5paKAQjkNpD/iL77bdfJtVef3PavbKSKO1eWzYTNJrSe9/73ovLrBda65XVWC4w86TB9HyZ0tHITq1EaDxpS2hXmaFVm1Vc53VkPcH3p7WYYQ3iGZXmkik+Da1+Ta1Vqpw6Ljr3z5NgHtLk6wxnOENembNqESWXvxFzMiav8rTPvc6rDuZjtHLcKIKZyT4pfPr8pG/T0hZyueCXzVoEjqWNq7JpIfkzlqaZiZ55R3q+bcYEDaH2FlX7/K5z5Tlntlh10vwyd6s6zROliaZl8xxarXmV78j88ICI5unZyKNM1kY0Z9qiPuZ/fAxRjSX+W3zomG5O21F9ln6qJZd/qklv08vTac9C4Aj4vj2rS703HYHNQ8DHwYdyjtzj6Nxpz0XAB3Al6tPnSuj0e3sqAhgFi2QLXn+hZUm/tmKEQ/O1YGD5uLbMKvMwzGYtnKcYtXnd846FljEX/8VIMgnFENXvaRnMVAV+8P5iMviiaJtyUMvshgYnmcPQ5i3aVG1or8mnXkLhEkxM+yaNhTsGX7CL0OBkQAg+X9XfaZnywK/K9LuobW+1yb06b8uqa3WUDhOHMCBt2unzk6ZN67e+YYymc2BbTj0XffOd5HvGrQHjw5yS8LmozVdtrGOlWalOdZWQA1NWAofK2x7bdrXX587nxlLbjrbdlV+eGuuuTcfFXJ7K24+7NwKdadq9n19v/RYj0JmmLQZ4Fy9+umCYNrczTVNE+u+OwPYR4Aci0EFL/Jk4/a+FvH989iy+i2hWaAz45GBwLN7ntFqVfrOPArGwVrFwLmuV8gfb7Lp2pfLCTC/9gvhNegYCnNBqdeoI7EkI7JVMk5CfAjh06ghsD4HONG0PoT37fmea9uzn23vXEegIdAQ6Ah2B1SIw70i02twbSLeVu1av1Cwq5HDsWynJdu89PyL42AdERBbx+KdE1V67c0/vrfV37cC9vTJ3Fp5r7U9P3xHoCHQEOgIdgY5AR6Aj0BHY3RDYENMkbGX5dETEkHS+Wy0AQjxiBLaC2nZNy+fUyKlzIyQeP4fHlUxzVrq3lrojcsxiP5SVytxKPNfS3p62I9AR6Ah0BDoCHYGOQEegI7CnIbBqpskmiqKK2DMD44FZelHsvCzqif15Do59l+zLZDdlsexvfvObDze84Q0Xu8rbAZrtsb/vxB5KSD6RUES3QaL1uMb+2F4idq22CV6EDc378nGuxPTYxwCV42GV07ZLeS2xexbnf//9928vZ5u1X99oomht7JrNuW/a7zZjhJxcbOBqYzlRVGzyq57anZspoAhCyuYUimwIXO23f4j9UuwhwQZY5JfCp62Lk2iVOe1zm047lNmpI9AR6Ah0BDoCOwMB37gKYrCR+svSYiNlbFZewRPudKc7bVZxK5bTWrFYN4jwN2fVUoVszxKl0q32aB2CdpYFi7Fjw92NkMAW9mXyx4eu6LDYeNma09+XvvSluryh44EHHriu/HP9/D/27gVct6qsF/j05NE6pecICAKKm4ugAuINvCAXSQUJrxxT0BJFUlOBzFJE41Z4BbyhJoFKZiWoEIpHQQVRSJBKRBMQhNS8pBlZPZbnPPOM34j3a6y557fW2nuvtfe6vO/zrDXnN+a4/ueYc453vDde/8SFgr316je+8Y1uKT0H6zXQFVRo3i7HMQLcb3PbKdAh5kR0b0EKuZYUeEzkZO5ELe65fBRF3MPnYRfgThpbIp5JEMkJVTduSjFHymMyzjnnnE5gNAHzMGauc20pCJnfysnPBSf3luqOekhc2n6196rEYOi4NB3aKXBBybsON5+YL+c8wHBTqp123BjBIG4sTeaIci6oGyaLQSTmBQNp8r/zne/s1qxZU3Fi7Iox45XmQQ96UC0vcJxx8PIjmKCHZoyizuGY9RFRGdSWwIBJiUAikAgkAonA+iBgQ3AsdMh86+IEYYxogZT4T/N2ENBqWozVtzHTMCZf/vKXN0qTrVZJiR1ZN44F7J2N2jKz5XNtrvtgLYY2lQbLQmCN2bAGw3zY8LeR76/EAauOOoxvIRh79QRezteFxsbJ4yDHIbwwXnHFFbU6z4G1cdKmR2DekiYPrAU5X/dU07xUuZnELDmShHD/6cjdpujK3GxikHD8JmcJxNaJ5SBaPcLscEWq7mAUnvrUp1ZXkqLRY5pc51oSI0I6Izq5yM7tCx0jE/Voq+1XC/E01bwdd9yx9g0To48YHAzUD37wg9q34bjbOp3rl3gPmB+OA8IVpr5wZ6ouaSRcIWEa1oH5xCxi0PR/LmrHHNiJySDWQOtOda568noikAgkAolAItAi4DtE84Eq+pDGtC9oiFiQ0hBBFqy+YzZX7cJbtNrkDO2UoRaIMhaeJSCs07oe0Af0ve99r26YHnnkkVUjYy6tDGWsT0pg17ppqS0usGnFIF71bHCOaa7UDIN/NF5sppaAvpMrQw0ScX7EaUJMFWy6IlKiq666ai2NmHqx+UdLxzfdJusf/uEf1v7zQgdXawb3wiZ0kMV0KyWZSxNltvvA/lrbtGuseWajIfZDnJW15inBXev6zYa5tZ97CcPTTjutehXEjNnopoVDe4hWDwqszzrrrPrbZj0bdJo6YkFhxpU988wza302iNWDSAJPLBpDLYllZ95YM4amD89+NvP9We+1ZH3J86H2SjDlqjXUtm+t1Xp41J52g4bzQnpoXlnvii+FhuOsieVfjMHGvXngfsCzJfPLs0YSF2Yi+kGLy9xOWlwE5l6d39G+FwIpkWBe22+/fU3FJMWCvT33gsTd2yEh1REjANPjAUBD7l6e4S5JKw1y7g/3LbiZF0xw4LXCO/5FPW1f4rqJ5wMQQc0ivT0O29SnsXG3ZZxj+rxMkHHaPUDGLSZF/Bakb7vttqsMX0jbvBgRxu2yyy6rvv/jhVEvzPEvxiybh8xLaIjvHFXk5UQgEUgEEoFEYIIA7QuaHTRHjj766BkL9tA6sdgWFNb3zQYpzQzBPxEVKJuGFnMnnXRS3fHnfjq0MkI7YtJgOfENDKaLVkVIqyySqaQL0GpBK/AprQxMDM2XMTrllFO6Pffcs+bRR+sU31xMm2tckhufzV0bjdPUq3zXuUa3oUk7JAhzY9GKyVOfvsZ3m3p8nDuuKZuwtEMwBhb4gse2dNNNN9VguMr96Ec/qqp4ocVi8W69pVzrtty6Qd6WYIbG2prtPohp9cEPfrDbZ5995rRLH2I/xBmDq61tt922mgnYLHb/733ve1ezBFpIVDflsxntGnzcF0yh+lqszTWb58pg1qmrKWsdSBLzuMc9rq7RrNWMO+ZM4OK+Y2Rga2MbifHExAOTgdltyVwxN80JTOSwfQwQJtY9w9BYh0bQbfWY/+aF+0XKRc0SBrSsMG7u/dg4ow/qOvbYY2swZ/PTRkK7cWE+wsjc33vvvStDSdvJGN0bWmBJi4vAnedb/VgU6Uc96lH1pWoXZ6+99ppEnzY57TRgJiKoHUbqgAMOqHELTAqL/WBS4jyO+jR2rs6DDjqovlzVbRKO5Wv7FfEZ7DZ5+MYoJDtjdY2NO/LFMSYqFUIPpAc06iT9oRLohYfpJM1CHlp9slOgnohMbffLbkdQtOF31NmmxbnjHnvsUZmmY445ZsauWNSVx0QgEUgEEoFEYD4I0JqgLu57ZLEbi3bfXupdvvuhdeLbeuCBB9ZFIY2KIJt4dth975z7hoV2SuSJI+0R6uvUk0gQSCcskKn/b7HFFjXeksWobyrpAVtgTNQYXXnllR3Gw867gKgYDOPYZptt6qarxanFb3xrW82Vtj5tWE8IZIqBed/73leZwdAgkdd4SX303QLWwlab4jVZD2y99da1StIccZvgZzFP4oHUbRFOKqPe0FRxDV6+7TZgW9KX2WjY1mz3ATNpoY8RW1MYmNmIRkyL/RjOGAtrGxhbF1q3Yb5tZitPUnLIIYfU9WBo59gwxhwH1tZtmHDjNh9sCMNYX+H1K7/yK5UR01fmG5/73OfqnMGwtaQMRkg/zEMEX/WhoVYOxj1iS2GY9HnYPmYLk0lrqr0P7mk7LzD55piNesy5TQT9Hxtn7cwd/0JrS9stYQzVh+myhlafOYTpDUYQgz9tI6GtK883AIFyI+ZNRYLRF0lKXybTpEy5WZPfZdL0/lCZPPXY5lU+rpfdqXrdvzhv87bncT3yFv3OtcrGtbjQ9ktaeaH3ZWcgLs84tvW37cb5cNyRrpL23Jjjd1snzIrYdUab0sqkn+R30bjaclFgWGebJ87jqEx7HnXkcf0QKB/Cvjxeo39lUbF+lWapZYPAtHsf6ctmINnRRGAdECi79n2xPerLxuTkWx7FC6PRl53u+rNIbOp3y4+ymOvLArGmlwVjXyQr9dw3vyxy+8JQ9EW9vy+MTE0f+1fU5vpic9Irj8oCuy+L3Xpe1KX6spiu5/4VaUBftFkmv9uTwsT1ZZe+TeqLFKsvam59YXL6IpHoy2Jzzm9lsWHqi8lAracwNr3xovvd7351LeRcW/Kdd955fZE09EV9qy+SkL4srntYIeMJPApj0FtT+E5bBxTpSV8kXX2RWvXaQMYNK1RUyCZt1YTyD6bD73xZ7NfLY225MHYf1AEH14pKWF8cWdU6xuqqF+74F9iP4VwYov7666+vOYumTV8YpYqPhLI5XO+D8RVmquZxz4vqZF9svfsi5alpxXFYXyRffWHK+iLVq2lFPa8vam0VmyjrQrHlrnOkMNc1X/wrDFNfNrLj5+QYc3SS0JzssMMOda1mvVZMREbbNyb3jFtDfQAAQABJREFUxJqybBrU0mXjvB533nnnyb0q6oh1TPIZD4zlGxtn04X+Yx/7WG+s6IQTTuiLWuFkPpjT6h0jOMRcHbueaQuDwLwlTfiyVgzpN7KjEtTuhsRuSUhH5GnLt1x0nLd52/O4rg7ndhqChtcive2XNLsdsVMWeeLY1tG2G+dtv5WJ9OF5jFl6W6edA38tDX+71o6rzRvtRZ1xlCfO49imtXXkeSKQCCQCiUAiMB8EygKvSgtIRoY01L6wy00tyc67XX8UGhAkHL5NbDXKgrRKEkgdSKlCC6Stn1bG85///O53fud3JsnU2p/85CdXSQjV/GlaGZMC5YQaFO2WXXfdtUrDSMbOP//8KuVg20QFzJpgqLnS1uE8NEP01fc5JFJjGiTGRwrBdobEgsYHyQAKPNpzqv+kBeq+/PLLq/SJLVRIZZRB8f2vP+74x76nLNCrimGkR76xtqbdB1hQpWNX5D7ShkFjdUkfYk+lr8WZ3TibHzY38GAz5F5wvlAYzSppIaVhYxXjc9QeTZmyrK14BNYkX6R9+s8DHolROz59otlEvZLdV0tRb5vmHObmEyLx0rcgNlrs6plV8IQ81r45QApLykpqiAIvcyo0i5hiGBPpmXR5aV6NjTPad2zHF+cxFvbxm222WZVwWeMeULS32G15LoyLtDdpcRG4E95rcZvI2hOB5YuAlyNvh2Pkmpd/0spFwMdqNsrX52zo5LWVigAmyMafxaK/IrGozgti469oR0w29KgkhZo+PCxIqUXFQnOIUVvWNc9YkcxUVaTYHGQfZNEYv4d1xG9ts0XyHLN3iTbjXFv6E/2OcsOj9vU5yrluzMqHmp20tu/zOVeGbY6NWYwLhouqGZuyaCuO8gZJiwV1pEV7cZTens92HzBMNn2jrSgXx2jDcQz7Fmd5lINZbCS7hxiSdjM72pK/PR9irS4MAYzifdzmV56NGhfiw43xYT55ZyNMHnU89zY2y8faxxhihsI2r8VpbF4M8dWH4TjbfkW/4+hae64sCvXC4e96Mf8tCgIzxR+L0kRWmggkAolAIpAIJAIrBYFYUMZ4MFAt49EyMy3DJL+FM6kB+4uW2ARZjLZlXbdQDglP5I+2LMZJdyxagzAxHAugtu1gmKTHubaiLovuomLn8oTYwZBGxOI0yslgzEONkbbv8zlXj/iObLMs1kn2wmtgtBVHeYPG0qK9OMrbnrdYuNYyMMHcRL1RLo7yBwVe8dtxWLdyUafr7mHbnrRoa3g+xFpdkSYvasuyeyOBGjJMw3y14Bz/SFGH93WsfU4g2FUFtTgNy8sTWLT9jjG1aVFfpMVRenseZSP/8Hek53HhEViykiZeR7gtPaCIH9eVeO47/fTT13rQhvUwKmWkxwvJxqJN0ebGGttKbCclTSvxrs5/TLGzOa1ESpqmIZPpiUAikAgkAonAykLgv23M4RTjvzldWkZ/NmQxwjsJEelcxJUjvdR1pXYc7fl86lnfNudTd+ZJBBKBRCARSAQSgUQgEUgEEoGFR2CD1PPEBeD8geEbv/n77rtvNZzkClwgM3GauPok3vb7xBNPrIaAXHIKksuPPT/5XHVzWRpB6Oj1Et1HDCP56HNyH0l0zbgTs0IEz2CV28qI7xAQCQrH3ah4CvRO+bFXD91baWEIGPm5oKRLzNCOcWSIQsUG4Bd/bBzEwvqhTmM6srhBbfNys8oFpXHfWlyJt4aKjFv1f6iiEP3JYyKQCCQCiUAikAgkAolAIpAILA0ENkjShFmJCN6CdwlARsJzwQUXVNU4DE4EwBObQSwAnkl4h8FctMHnMCACeV1yySXVsw1GRMwDxCiSVxDeTHiNQaJ9U3XD5ETQsnrhjn8kVa5HILlhMDrqf0Gig/PQwvMLSRDd5iC60tPGoS/tmIZ5YYFhagO9qZc+LAaLh5mkRCARSAQSgURgJSFgLRDG6RsyLmuA4YbohtQ3Vvaqq66q6xjfa+uVjUVHHHHEBjUVGHOSYH3DLGEhaGNgvhD9zDoSgU2BwJ3n26jozaQqGB3Gmoi9B2aj+KCvAegEOiu+4rv999+/ulccBsBjIMdgznEsKJo6uS4VyK4l7jtFACdVwlwhkifMDlU8Eq4hMeCMQHI8l7RBx/QvXIEqpy+C95EEYWh4hwkaC+TXjqM9H8s7DPR28cUXV3srLjSNKykRSAQSgUQgEVhKCPB0NnS+sC79830eI2uCEv9pEkB0LE+bVmIXdu0GZ3ttoc5pkdAEQetrFmBtZA3BA958ySbxhlBgjOmzZloo5nJjYL4h486yicCmRGDekia++HmWCYYpOs3VI6nRwQcfXL2XkDyRJolBwOc/v/7bb799zY5hwvggnk6o6PEv/+lPf7qq3NULs/xjlO2lVgLCVUkWeySMTgnmNrWUMhgbbkXDzolqHB/6QfpChVBfqAjy+R801zjaMY3lxUhR3UOx80ZCZUeLB6GkpY3A0EtU29vZrrX58nx1IiDKfVIisBwRoF3h20rzYkhU1q0HnvnMZ1btDNepw9OciIU7J05U3IVk8D2V/9prr60q6dTffWeHhIkIzRXrBH1ANkpf8IIXVO0M31J/+kZSE8zOsC710zShhu+7S/2eNIbpAGbDOuKNb3xj9VxHLR9ZJ2B8kDWNNqjQYyBptigf/bZRzGufP2VOLBol1g9MAIZkvdLGnTIuLtul85oHxy996Uu12BDHqMs4bbSK6aQfJZBwdZQV2izWUMYYxOyB+URLJFOxWfwnf/IndcPbpjOc1O2v3TDWR9o9Npxf//rXd2JIMbMITRy4Gou00047reIqHhH6/ve/X8fm/Oabb673FXb68KxnPasrwXFdSkoElh8C5eWxQVTU6fqyeOyLNKcvL5h+66237ouaWi+ieAl015dAdTWycnkY+8Ks9CImn3TSSX15SdSIz2Vnpkb5Li/Jvrx4+osuuqj2pyw4JhGjRV9GRQzdF9/4NZr37rvv3peHry/MTl8e2Ho9/hVJ0iSKeVHdqxGeywulLxKpGr372GOPrVmjvaIK2D/ucY/ri8pcjSxdXvRR1ZzjaMc0NubyQq5RoItb0b7ssk3GKGJ2cZNZxzRpLE8SgURgSSFQ3uji2E39m62zZae+LzvQs2XJa4nAkkXAd7As0Puigt4XDYxJP4t9cF8Yp/rt8h0ui/++uAuv1wtDU49lI7P3zX/Sk57UlwV8X6Q59butrksvvbSuESYV3nFSNjZ79aGyMO+PP/74+vwUjZa+MAn9+9///t56wffeuTWDNsbohBNOqOsK5XyXjz766NpmYd76EuS2rjMK09Vr03e/bGTWaorL6XosLpz7ojVT6y/mBP1HPvKRusYpGi917A972MP6a665pi8MXV82P/uyodwXBqJiMdaf4gW4v+WWW+o4rE9Qcd3dw/imm27qSxDdmjbEsSaWf+5D0erprSdggALjYg7R62NhoGq6f1/+8pf7YjIx+e1EnsJI1bTC3NT74P2kTfezMJR9iRlVMS+BefvCzE3WY9qyhipBiftddtml1lGY35pmvXfUUUf1JWhtX5jUvjCR9f4UN+QVs8Kc9oUZ7N2TwkDXtLLJ3pf4h7We/JcILCcE5q2eN40dLMxGjSRN4lJeQh3nB3aY2CCVB63u3vjtj7pciKQ5kLDDw3Ypgs/ZdZEPKSvaNBK/ALGLuuKKK7ryQuge+MAH1t0tkcWf+MQnVqlVzVT+lZfyJD6BNvRN1GeRxtkdRTC6tj22VHZZqCTYcQqazzjaMQ3HbAxU9OzK8NVvlyvGSC1Q35ISgURg5SFgh5oE+2Mf+1i3f1EJXulkZ9qu9Fi8lJU+9pU4Pur3pAKnnnpqlabEfR1TQ+fIybeSDXE710kvqMpbFzj37fMdj29gi5tvr1hNvvcf+tCHqhSDlOmxj31sVT/znScVecUrXlGlTkwDfMOnUaj6j6nfcwwlzo42acb4RrckFEnYSg9NCUhRfM8FQkVbbbVVNRPwLW/XDm19pEOkLJtttlmVLLm20047VRMH59Yl/qbhCHPvEZozbMlb0qa227VEYcKqU64237RzYV3U6X6Tju+xxx51DVU2uOv7K8oddthhE5MHksDPf/7z1T7dvXzKU55SzTdI9j7+8Y9XiRYbK2sxUjBjp1nDKZd4Tfrn3morKRFYTgjMWz1vtkG1D2t7Tn3JA92+IDFL/oIERYtYKG0+1+N3W6dz3vOo13kpeoGyt2ppmD+u6UswTNKi/rguaNvYS2+ucbRjGsurP2PBzdp+Rh/ymAgkAisHAWrBGCeLkfmQTR4Lj7KLXb2HUoWxCAlPolGHhWXZoY6fVd2o7Kh35557blXdccFiRXl/PI+OUdn97vwFUdf5zne+0zEu59DHX5GKx+XqqMcPtikWQC1xBkQlyCbS1Vdf3V6q6kgXXnhhVXWacaH8sACzqKTCNRcVTYS1wkQoZxGbtHAIsBd+whOeUO89L7TU8IPG1NCpnFP5Gt5DjMlnPvOZzn0rkoW6sHe/p5FvOpU48/3+979/zWZxjaicFU2WagvsefK9Puuss+q12f6Nqd9bd5jnKOqfVofyrSmBhT7VOkwOMvd8y2cbF2bI/PcsUrFDNnyVibrUMcTRRgSinsfcgR20PHNR2bmvz1ybD4NokxoN3yfSwvzBOQYYc+OeDinybb755hN7szB5KJLF+g4wNs80lT5Mso3xlqKONi3PE4HlgMB/iVSWQ2/v6KOHkD5yUiKQCCQCmxKB2PCZrQ/BOM1H4sQo3c46hztsJDBHFqx28IuKUN2dtliza89WFFOD2BZYvIloL2QD75yk67ETP42pwOQYQyx22a0W9ZuuqElV+wzpRbWps8tcVHC6orZTbSHYpQwd8FgQGqN8dud54bKwQhgqdhEWz8bWkjFamBbVoDZ59NxicEhjcfnW1eHAsM7V/tting0K7ZAhmWMnnnhinZvsizhawuyQuBSV/JrdnPJnnmIGLP532GGHrqjXV+mERXUwD239wpfQCGltgCzIbSRY6Hsm2EmzzcFIkIKNUbTvGikXuxtMm+fARisJms0MtkQ2CMx5FBupcZTm2fMc2KxlR83Lrt8kNPAp6v71eVGvTVnP4pAwDTZ62SCRNiF5SWhIpNVB02WII8wwd1tuuWVtFyPjOSvqiRXfGKdjS57roi43wxugtmDhvhrHsGz727ln1hg9r3FNG3Fe1CfrO+Z+97tfZQDZY8EDxsX0oOJFghf3Msq1dbR9zvNEYDkgcCe6hMuho9nHRCARSAQ2NgI+9AtFFjxzMU4WRBaDDLAtEKnzMki3qLKgtJNLlZiasqP6MCakPpgbDFcQFWYqTLPRmWeeWRdBwTSJGxdME4bLAks7HNdYqLV1YppIxhBJFkaFpIthuzALdsaNwxj0ywJQOxwJUNdBnAcwzmfYLnwDL2AWsXDYe++9uzVr1nTve9/76mJPPD9SDgtei8gg6mBUwCIun8WpXW7t82ZmEUdaZ0HHUL8tG3Xkcd0QwASFFgkGAzNg8U/6gzD2oUlBukGyE2QTodgMTRiUSI9jW1aaJYp7iMmIOjEYnqf4HWXj2KrBR9qY+r1x0A6J/NF2HKOsY2tK4Leyxh6aM+Ytit/1R/PPOPwFQ6ZNf7DTBzTEUX7vIM8dia9znoSpvbXjj/43zc24B5GufnXCre3H8Dzqc9SmY2DdYqMu911fgqKMcm3eqFO+9jzK5TERWA4ILEtJ03IANvuYCCQCiUCLwLpInKIc9Ra74dT1wjMXlRmSHgtUzAdGxK4vRsFusnM72yQAdpYtXngDu+997xvVzutIgoNxomqn/Gxk990uOdIexgazh2mywGPbyRYEUdliC8uWBCOFIbQjzUOadnhs40WNfSi1pnPOOafal2CahLRg2zJkfCzeqGqxQ8HAUS2DBWaNhAE2+mj3fEwSUDuW/+aNQCzyowAGKhgmabHAdt4yTH5bYLNvGQZ2Z8/EO29bVn7ziWpZS9GW+86DncV5EOaKit+QokybHuMIpiHajmObdziOKBt5MEv645kb649x+AvSpr/WJGCIY+TnlY60Fw4kWsOxRP+jbsexMbRtRd62bJwPj21d7bn+tQyTOqOs8zZvm96ey5eUCCwXBJJpWi53KvuZCCQCyx4BjBOpEJWb4UJwbHBUiCwKGcBjYDBODLClWwCFHQmjdCpLXD5TZbr88surHWW4IbazP0YWPXZ9g5zHQmebbbap6jnsW+5973tHlrWOFohsTFo3wpg2Kn4kUfpwxhlnTBgv9VMd2r9IiBjDc9ksLdrF7JAKMcbHNDGCZxNql3yMjKGNy2fH36IsHA6QEJBiUe+i0pi06RFgr2QObCi595jhpUKL1R/qtv6SEoFEYNMisCCOIDbtELL1RGDjIECPn9pR7lRvHLxXYit2ZamezYdhMn7MAuN3khPxThiTs3HC3GBqqAhJx4zZYSfZaWPraMefxdwYkfSwPQrCePGahTA+JDUkWexIphEGjapeMD2Rj22KZ0VfqcwFYV6o+w1j/sX1OLZ9dm4XvyVjH1Lk0xd2ORgtaounn356lXwN8+fvRCARSAQSgURgvgikpGm+SGW+VY0Au44SX6xiYLffIpGKUVIiMF8EMExz2TS1dVH/IaFhq8Meg/Mb6mtvetObJobrDPEZYLN3IGHhSILqHvKb1AmRTHEMMSTMGGnVQQcdVJmbEn+mugOmmhcqNCXGXHUwYd4PGSP12enHrAVhXPxh7tgqDQ3BqciR/rB9YqCPOZMfRdnZzl0TNJXkja3SsIx+czjAgB9jhrlk20RdsWXe1JOUCCQCiUAikAjMF4F0BDFfpDLfqkXAbjV9+9Zt82677TZxobtqgVkFA4/F/IYOdb4MEynUN77xjY4NQzAtbdutYXWkR9qYoXvkmevI0J66H5W2IBKi6EO0EWkYMo4puDnHcHFMERR5/J52HnnjGPniOCwb7WuLjRNGiOTJ/YlryrTnrcMBDNMwTl60ncdEIBFIBBKBRGA+CKSkaT4oZZ5VjQCbjJZhAobf0sPr2KoGaBUPfqgy1kIRDNd8GSZl2fFQd6MyR+ozpDFJT6QNjcPbspgRnuowFUEkWRgQNGbzFAyT69FGpPG6xyEDFbihq/DIo9y0c9dainxxdK091z7vfNw+Y5hQ4Bt9k9aewz1oLE5eXMtjIpAIJAKJQCIwHwRS0jQflDLPqkVAPAs2HtSehsQ98o033lgN1YfX8vfKQCAW5tNGMxfTtC4M07Q2Mj0RSAQSgUQgEUgENj0CS8IRxO23315VUhyTEoGlhAA7pjGGSR/Zk4Sd01Lqc/ZlaSDAAcO62DAtjV5nLxKBRCARSAQSgURgDIFNxjRRFxFL4SEPeUiN4yCqtDgIfkt3PSkR2JQICAz6zne+c9YuuM5oPikRGCLASQG32kmJQCKQCCQCiUAisPwR2CTqeQx0eU6yqJhGAiB+6EMfmrdr3mn1ZHoisL4IsNlg6D4XyXfxxRfPlS2vL0MENkQ9bxkOd2qX2TAJHGtTa0OIrZbYTcccc8yGVJNlE4FEIBFIBBKBjY7AJpE0id8xG8MEBdef97znzRuQcLM77wKZMRGYBQHzbz4MkyrkS6ZpFjDz0rJH4Jvf/GbHvq+lZz3rWe3Pqeef/exnO27GERXsb33rW1PzLuQFjiO4Jp+N2r7Nli+vJQKJQCKQCCQCG917npgjJEjzIflEwRZLZIx4bvrIRz5So9EL+ij2B3WYpz/96TXQ41iZTEsE5kKAO2Uun+dLnAHI//jHP36Gy+b5ls98icB8ETj11FM77sE5IHnFK17R7bnnnt3rX//67m53u1u1C3X9da97XUe1VKwi8ZNI9gVmvvXWW2uA1wMOOKB6fiTx4TrfhhNPdbxBtmlcmL/mNa+p8Y202ZLYTN7lz3nOc7rjjz++uvMWx8k7+NnPfvYkPtS//du/1balswEUu+n73/9+98IXvrB6vxN7itc/zMv73ve+es5OcLPNNps0Z3xr1qzpzj///Fr30572tDoW6eqHA5fiMDniiCOqNz/OW6h5X3rppTVG06GHHlrrEzcKFsoZt/Pom2+NOFhsGMW1+rVf+7XaL/X41ggyzFPgbH2ddDpPEoFEIBFIBFYeAmXBt1GpBDMU1n3ef/KPUYkL0pcPaf+IRzyiLwuF/kEPelA9+i3d9aREYH0QOP300+c9P2MuFzWuvgQiXZ/msswSRiDu77Tjxu56sfvsr7322v6mm27q99hjj9r8fvvt15fFfF8W/31hBPrC/PQltlh/1FFH9R/84Af7l7/85f1pp53WF8an/+IXv9gXyWhf1ONqnuIyvy/MyGha2Qjozz777P573/teX9yf94UBmQxX/UVVry/MRE0rwZ77r3zlK31htPrCyPW33XbbJO95553Xn3DCCf3Pfvaz/jOf+UxfYp713/3ud/vC3NV+F0amf+xjH9v/9Kc/7Uug3v5lL3vZpKwT4zOmIunq73//+9drJbB0/3d/93d9YQRr3/TDu//DH/5wXyRgfXGtXuvRZ+dBcHj/+99f+62vbd+KBKz2S12+J2XzpC+MZ8178skn93/2Z3/Wz9XXaCePiUAikAgkAisPgY0uafrCF75Q1h/zp7H8n//85+tOICN8bp/tUJaPcFc+2l35uNUo9HYKea6ys5m0/BC47LLLqtRwY/fcTrQ5tK5UXg21nJ13czIpEVgfBF7ykpd0P/jBD6rEhF3nkHbcccfuoQ99aE0Wc0ngZXZXVJ5Jm7wvX/WqV9V4RU95ylOqVOTqq6+uUhpxmfbaa6+uMDDd17/+9e6lL31pbYtE6brrrlsrjf2RusxnEvyWxEPS7l3ucpcqhfnJT35SpVbyFCan1rfddtvVIoLmkmQ5KiMo7r3uda9qH+U517bn7thjj+1Iee9617u2TdUyhx12WB3fPe5xjyol+vKXv9yRqiFeCvXj1a9+dUcKVRjK2p42Bett4z09+clP7l7wghdU5y2kaG3f1E2l78c//nFVRSSN4pDok5/8ZM1fGMM5+zqj4/kjEUgEEoFEYEUhsNGZpmnum6ehOsxPTYLaBIYJk+SD/9a3vrUuMhypW1D3YLgsn8XB8CM8ra1MXzoIBNM7XKwtdg8tKKnrDOme97xnZ+G2pqgJfeMb3+jKjnhdXLX5LLaUN/eSEoH1QWCuuWOOeQciDJNFf0ubb755VyQw1RMpOySMC7U1qnFbbbVVVe0zlz1fmKagd7zjHWul2XT6zne+U5mmIm2KrJMjZqRIj+r7lQpg9IcaoHdvEAYLMzQkDJTNhi233LIrEqTuXe961zDLWr+V8aeMPrfBbD/wgQ/UYNMC9lIVdC2wiop22mmnDqOG4TrrrLM6TGj07W1ve1t3n/vcp25+YMqMB6PJlgszu/fee3fXX3/9vPsabeYxEUgEEoFEYGUgMPOLuxHG5KNOKjRfkr8lNkw+/nY/MUyxyKC7bzHgtw+ccx9W+S12k5YPAhZSFmFPetKTuosuuqjbWIyTHe/3vOc9awHFVqmo8XT/83/+z8k1zJGd/L/8y7+cpDlR/sUvfvFk133GxfyRCGwgAqQfT33qU+vz4Z2HgpFwftxxx3W/8Ru/0QnhgPkv6nldUYfrnvvc53Y77LBD9/CHP7xef8YzntH9zd/8TVdU4qo9HgnpMO3oo4+uEqxddtmlSoK00xKbKZIbdkls+kiQvHcxakW9bZKV3RS7I9IgUqioxxHj5TobJh5VBQNmc6U/Qe34okxROewOOuigyvSQED3ykY/sttlmm66o39X3hc0y/YMHRvNXf/VXa3Vvf/vbq7SoqA92f/AHf1C/I9G3ot5XN90805hMUioME0cvbKaKCmGn3dn6Gn3OYyKQCCQCicDKQ2Cjuxz3YWbQO18qNk11wRr5GRCvKbv9pEwkS8EoXXDBBXUxgWGi6sGl7e67714Nhhk4Jy0fBDBNoVLzS7/0SxuNcSp2Et2nP/3pGUBtu+221aie9HJIDNrtkA8lU+q55JJLhtnz9zJEIBb407purm5MwvRY1IcURNvU9FqJiz5hrjAgQfJw5uB5CrLpRLWtlVYN07SDPI/xTEZ5R2p51AKRvNoZk+yHNAfjROUt6mrPw9nEL/zCL9T64l87vuG5zRXPZluP82C0XFdftKdOY4RNYNb2DRMZKns2UajrkSpjnqhLXnXVVbVb0/oafc5jIpAIJAKJwMpDYKNLmopx8joxTfIH8XbESx5JE2nVEcVTkt1WDJNFKomAXdFikN9dc8013Ve/+tXqqUnQXB+/daW5FkzrWl/mX3cE7PBuDImTOTRkmNx/UqMxhslIzEO2JMVxxIyBqcc8JYlKSgQWEgH2TBb1LaMTi/9ox7xtGSbp8rQMk7SxeT1Ma9tRZkjBMEkf9qvNi1kKahmY9nzILEX+dnzD8+hvW097PsRBnVEm6m/7Rh0v6IEPfGBV1yP1wgiGVoPr0/oaZfOYCCQCiUAisPIQ2OiSJhBSw5iP23EqFX/+538+A/WNKWlKpmkG9Jv0x2JKnNg97Lrrrt3NN988Y4zuPwaIWs40Kt66OtLQIbGdwLS3C7Jhnvy99BGY6x2wsSVNSx+x7GEikAgkAolAIrAyEdgkwW0Z6o55hmohdl18jCGxb7GLT8p0YnH6gKjkkUI5Iumukx7In7T8EQiJEyPuhSaxV4JhskhmF1HcHtdmMD3FRXGVKr32ta+taQzoxWwxv4IpYofBriJIfdRHkxKBRCARSAQSgUQgEUgElj8Cm0TSBDZ65xajPBYxSA5itMwAmeFyq2YR10kF2JEw4g3vecEkcT3unPoFeyZBFzfEe95cu8zRpzxuPAQYfX/729+uthgL0SqvYFQ62TkgxuQCg2LSnve851Vjc4bg1D8xSn//939fVXPYPpCYCqJZYtl0X/rSl2q/uHQO4jjihhtuqAxXpOVxeSEw1zsgJU3L635mbxOBRCARSAQSgfVFYKPbNEVHMUQWpf5uv/326ryBU4fWQ1nkbY90y0Wj5zI34jRx+sCGyZGEiSOIErSxxmkaM0pu68vz5YMAFb2PfvSjC8YwGblYLcEw+f3oRz+6Mt2YbSqkJEgYdPP113/916uhOwkSaSd7u9/7vd+rUirzDFMlfwngqao6r0mnxjzy1Qz5LxFIBBKBRCARSAQSgURgWSCwySRNgQ7JES9kvBExwsU48eg0FwlwKxYIY3wG9yVae1ciwdfFrPowVhsa2HauXea5+pjXFw6BxbBp+qu/+qtuzz33rFLPtqfc3IsPxm0y1/bmGWachMucEvSTxIsDCDGbeN8S0+aJT3xi9bTVxoZhuI6hf8hDHtI2kefLBIG53gEpaVomNzK7mQgkAolAIpAIbCACG51pEnjx4x//eHfllVfWPwEYhwsPAQYFErRAJVG6733vOzpMi1NxmNi5hLcyNkxPf/rTR93ejlYyS+JcC6ZZiualBURgMRgm3RMz5nOf+9ycPWXfRGJEmnT55ZdXL42ko+zoqJjORdoxR5OWHwJzvQOG767lN8LscSKQCCQCiUAikAjMB4GNwjSxX2I0T63piiuuWItJmqujDOy5fiZJCsP7YRkL2PVxKz6sJ39vegQsRMOebbEYJqp3bJKGpF2SJsEtec3jUvzGG2/svvCFL1QHESSh4jJR1ROPiT3epz71qVnntIU3L5BilCUtLwSSaVpe9yt7mwgkAolAIpAILBYCi840MaL/nd/5ne7666/f4DGQOL3uda/rDjvssA2uKytYuggE07RYDBNV0Ac84AHdbbfdthYI5iobpu985zvdmhJE+W//9m+rTRLGiBtxsVtISwW55Hhk3333rXk+8YlPVO95Bx98cLVlGla8/fbbVwcTbRyYYZ78vfQQSKZp6d2T7FEikAgkAolAIrApEFg0pon6EtfMH/jABxZ8XIceemj1WDaX04gFbzgr3GgIYJjYCVG3XGj6/d///apuN1Yvz4y855EgcSbyl3/5l2PZJmkPf/jDa4BljPytt95abZfM/SFZfJ9yyinVo+PwWv5euggk07R07032LBFIBBKBRCAR2JgILArT9P/+3//r9tlnn7obv1iDedSjHlVV/doI8YvVVta78RFgA7QYDBMJEhfj//qv/zo6KIvkP/zDP+w++clPdgLXzoeUYZvHvu7lL3/51CIYQS7IuTVPWh4IJNO0PO5T9jIRSAQSgUQgEVhsBBaFaeKU4alPfepi973aSfGcl5QIzBcB8b/OPffc+Wafd7473/nO3f/9v/93zvzap9aXtDwQSKZpedyn7GUikAgkAolAIrDYCPy3xWhA0NmNQRurnY0xlmxj8RH44he/WF3RL0ZL82GYtMsV/tVXX70YXcg6E4FEIBFIBBKBRCARSAQWCYFFYZrmu4Dc0DFtrHY2tJ9ZfmkgwMPipnYRzZMkZxNJiUAikAgkAolAIpAIJALLB4FFYZqWz/Czp6sJAcFslwJxMpGUCCQCiUAikAgkAolAIrB8ELjz8ulq9jQR2DAExPE66aSTup/+9KcbVtEGlP7FX/zFqZ77NqDaLJoIJAKJwHoj8OxnP7vbcccdu5NPPrn79Kc/3f3zP/9zt8UWW9Qg8xEzb70rX8+C3/3ud6uzp//1v/5X98u//MvdUnH6dNRRR9UwFG984xursysxKJMSgURgdSCQTNPquM85yoKAAMn+khKBRCARSAT+CwGx5/7kT/6kJvzGb/xG3dgRY/Hd7373JP2/cq//mYDiAn3PRYKJ80R65JFH1jh4t9xyS/eiF71ormIb5fpf//Vfd9SsqXvzEpyUCCQCqweBZJpWz73OkSYCiUAikAgkArMicJe73KU74ogjusMPP7zbeeeda14x6F7/+tfXUA1sMh/0oAd14t2xKxYA/LjjjquhGvw+7bTTurvf/e5VSiR8AwkRBoN69CWXXNKRar3mNa/pfuEXfmGtOqNj8r/3ve+twcQjTVBywe3F0RNy5Ld+67dqCIfPf/7zHSc/d73rXbsXvOAFNc/uu+9eGT9hI/7jP/6j++hHP1qlZgKW8176a7/2a93Tn/70Wu6d73xnzaO+vfbaq44LU/TVr361+73f+71u1113rW0a73bbbbdJNRUCizwmAonAJkKgGMYvOJ1wwgl9Gc6i/2knKRFIBBKBxUJgrvfYYrWb9SYCGxOBxzzmMZPm7nvf+/a+rU972tP697znPTW9qMf1RRrV33bbbf1DH/rQmlaCy/fXXHNNf9555/VFta8vser6wtT0b3vb2/p/+Id/6Pfcc8/+n/7pn/obb7yx32OPPfoSv7F/8IMf3P/7v//71DpdKAxLv+2229Y87b/CSPWFCav1FBW5/oMf/GD/2c9+ttb5gx/8oH/JS17SP/nJT+6LamF/0EEH9dddd10dx/Of//z+Jz/5Sf+QhzykL4xP/+Mf/7gvsfpq1ddff33/b//2b3Vcj33sY2uacZWg5v1VV13Vl9ApNa0waX1hDut4i7pgX5jDmt7iVhPyXyKQCKxoBBZF0lReXt2v/uqvLjobeM973nPR28gGEoFEIBFIBBKB1YIASdMhhxxSJUOFeekEqy8MSHfqqadWCP7H//gf9cgG6uEPf3iVKjmS4uy2225VesPZzaMf/eiuMCD177//9//eFeakE/dM/dPqVLE8JD1DIlF61ate1bGxEp+xMEy1nwcccEBnLUD6pf273e1uVTpUGKlahZiRAovf//737w499NCOjZTf+vDzP//z3fHHH18lTYXBq/mN6xGPeERXmLvue9/7Xu2LYOjKI9eTEoFEYHUisChMkxdYMjSrc0LlqBOBRCARSASWLwLU6TBBb3nLW7rnPOc53cEHH1y/5+94xztGnTG0AaCdl23mbvPNN+/YSSEqexgmjAqG52c/+1mHibJGmFbnwx72sBq8HsODMC9RJ6anSLWqqly9eMe/sX7Mdf03f/M3ax8wfI985CPb7JV5MxZ95jwIk+XvH//xH2fkyx+JQCKwehBYFKZp9cCXI00EEoFEYByByy67rNt///3HL2ZqIrBEEQgvdTvssENldIoKW/fbv/3bXVF5q1KWe9zjHtVuKLzqYVaCYYnzogpXJUzshnjiY8OESJ+e9KQndW9605tG6wxI3vrWt3bPfe5zqyMKEh/MDYkQJxX3u9/9uqJi1/3pn/5plYYN21ZH9COObVp7rj/GZkyYMdSOK87ZSj3+8Y/vttxyy4pJtFkL5L9EIBFYNQjcifLhqhltDjQRSAQSgXVAYK7F0WyvT+7lP/7xjyfjtA54Z9ZNgwAvcJ/5zGeqBIhqXDAL7TkpCzU1Th6Q38Fgtfnac84bOGiI+pQr9kVVhS7qaOuU1tKwvOeN1MqzFRTtxbPomY20OMrbnrd9/5d/+ZfKCMX19lp7TtpEnS/ykZgVO6iO2mBSIpAIrA4EMrjt6rjPOcpNgMCPfvSj+oHfBE1nk0sAAYs7tiEkTiudvvWtb630Ia7o8bH1EXcItQxOe45BCoZJvmCYZivDQ15bh7xsjoKGdUZ6HIflMUQtwyRf1O9abHJEWhzbfM7bvlMbbK+319pzDFObj2oh1cWkRCARWD0IJNO0eu71shwp97Xcw95+++3VGJnrWG5r7Q4G2bmU3pJFHNeysWD9+7//+5pHPn92EMeoeE2aUffnPve5aiQc5f/iL/6ic47skBYPS/X68573vK54nJpRJVWS4kVqRpofXO8Wz0/dd77znbWujSVQTbHjmrT8EDBH5ss4ccXMxTESYNQ8Fa/GznbQQs51z1FLl156af3J6F/b4vTEcxZznRvm4lWtu+iiiyZF7bg/4xnPmPxerBNusBeDuNPm3KB4hluM6pdFnccee2xVf1sWnV0ineSi/NWvfvUS6U12IxFIBDYGAsk0bQyUs431RoAxsSCHvDD9wR/8QY3LYVFXXL1OFpMf+MAHauBDQQfRD3/4w44BsR1JHpb8vvDCC7vzzz+/Ml8YsFDlGHbs9NNPnxgwu3bSSSdV/XnlxfzA6DzucY+rDJxF1pvf/ObqDQrDxDg5SJsWuMV9byTVozrEGrGDWdzjduGxaUamwQ9xUBhTJy09BGJ3e+wYvQ3G6fLLL4+k0aO5fvLJJ9drL3zhCyvDIhCo8yABSP2OuU6ayZOYuU69al3muoVyS8ccc0z96TnDHGHuGcdTS9I3dihi1ni2wjOZApirAw88sK1qUc6/8pWvLHi9NlWMyRiHz+qCN5YVJgKJQCKQCCxrBNIRxLK+faur8xamjIgtckhqMCWYqY985CPdGWecUSPXM0D+9re/XdP/9//+3zN2wLmR3ZDdaoEPX/ziF9f6v/SlL63lbam9Gx/60Ie6Zz7zmVXSdOKJJ1Y1PVKEd73rXR0m7173uldnEWjB+axnPWtSlFtfUqUS26R7xSte0ZVYJ5XBY/T8qU99qgaGtNNvAasOY6daw8tV0tJFAOP0K7/yK9XGab/99puzo1SBSFjN9xIjZ5If082rmTm0mHMdQ8+FM5uskKxOOjE4+eM//uOJO2p9wxwymichPfvss7tPfvKTHdfVNhZIZrmcNibqTfvuu29tx0aCUBXUv2wSkLCR+pKyveENb6ie1ki0TjnllI5jggg6Gs/LDTfc0Am66nmZL2GY3JNwhW2DZCUSZyTzmXMrcew5pkQgEUgEFhSBsuOelAgsWQSOPvrovux41/6V2F99YURq0MXCKNS0b3zjG31hOvqyU9wXZmoSdPBFL3pRX5ikvjAaNV+J+t4XN7p9YS76wmBNHW9RM+rLLvvkeokB0hd3t73yT3ziE/uyMOuLHntfdvhrvuIdquYV2LEsciflBEoU2LGoF/bvf//7a0DHIuHqS6yPSZ53v/vdfZFsTX47ETjx2muv7W+66aYaEFJaWfD08hZXt5Py0v7oj/6oL+pTNbhjYRRlTVpgBMrLtl/IvyIR6stifbSXbaBMAUZjDhdPYjX/zTffXOe/4KAPfOADZ8z1wtCv81xXR0vx23NWNgd6AUSLimnN8rWvfa0+d34Utdc695wLFBpBQYvqau/5KUxIX9Ra+0984hP1eRMItDBWtS7P8mGHHaZofV6LelNfmKFe/4MELBWIVMDSc889ty+StXqpMFRrBR0ViNTz4j1QmLyoYs6jNopK3oLe24WcJwtd15yALNEMV155ZZ1rguoWldV597LNX7QE+qIiu07lpzXkmTS/zzrrrL44gJiWbV7pUde8Ms+RyTPkGZtGvidlA6Z/+9vfPi3LgqX/2Z/9WcVowSrMihKBJYRAqueVr1PS8kHgpS99aUeFzq7zBRdcUCVO4newsSB1YguCSHRKNPuuRJGfpJHolIjydQd82ohJs1obEudhDGzn/aEPfWjdmeaidhrZ9d5qq61qf+zYn3POOXWXPYySo352VWFcHHUJnKiNnXbaqdpdUcvTp8MPP7y6xdUuVSJpAkhTy+I2V5tJSx8BEieSQtKN2YiNDamKOWzOfve7362S1C222KJjVzec64WB7n73d393neZ6+Q5NuuA85qdEXsHE0Zltnst33nnnTaS5X/ziF6vUk/E+b2y8ipGCen6MuTA3VTpWGLAqSdVGWRRXqdLQNXu0z821/MgzQVpMwiZuD4rnxdHzNM1WsWa+418rYWrT83zpIUD9lM1ZO1fn08s2Py2Ewnx3ZQNsPkVnzROq0rQZ5huviV3gkUceuVa9UddaF+ZIoHJeNtHWytWOeXiRWi+7W9/PxSBaFUHxfYvfeUwEVhICyTStpLu5wseCUbCIW1MCEWIUbrnllso4WaB5UVO1obYUC1JMDsYiGAoBFS1GqQdNo+23377acrhOTY4jB0wZ2mabbaoqHdsHKkfTyAcq1OUs9CzSeIyysN15552rPZSyFpEPfvCDJ8yRNPFHxCXxh2G6851natDCID6OFtKIbdXWW29dz/Pf0kYAk0ul0jycjTAwGCRzeLvttqtME+cMMdc5l6AWF3N99913r+qg6zLXMV7mDmInKP5N0C677FKZNpsR5uQ0YnMVCybPJpsq5NmJYKR+t8FI2SNiCCNoKhU+dlLmfFDMbQvm4dxun4F4Xv7jP/6jPi+xwRH1jB21FbiNXc+0/0SACrA5huH1XkXuK9VIqs+c9HjvinOEvv/973evfe1r63mRilbVTDhzlsDJCdVS5OhdaENJfUPyfuPJj3MRjniQekJN1Nyhyvne9753UtQmWZFg1nZsMkR+as3mtvytU54rrrii2u1NKignRTJa2+TgwVzkTIj9oPlto2Iaac/4qJgGw0BNFW5FQ6HaxVJzpW4b16Mu/YOlZxuN4euZ0n+q5Z5v6t7G+/u///tRTf1OxLP/+te/vivSnkm9f/M3f9N5TqnDwtPYfZ/EwYoNCWXOPPPMjp0jZq5I0jqxqbTLftJ3FO7I5oiy8L766qvr3OBUBgbKFqlv3YAZG4vr7j1c/YnhlZQILCsEygsqKRFYsgi06nm//uu/XlWBqFoUBqmqWxQJzKTvVBTKwq8vdkJ9WVxWVaFiO1FV6Yq0p6oDUVEoH+u+vKwn5dqT8mHuqUlRu9t77737spNeL5eP1ES1gVpG+dD1VJYcUajnlZ3uvhjPV5Uj6W9729v68vHpi41HXz4wfbHpqKpIVApD9YmKXvloyd4XO6W+7K7X/pePcU2j/lTst+q5PpWPUVXZg4GxwCVpcRAoL/MFU+GimkctbBq16nmF2a739glPeEJfbIP6YkM3UWtTnsqbPO1cp0pKbbSd6+b7tLlOhY7KKpU6z0uopVKBLfZ2tZvFKUSd92Wx04dKbKjnlU2L+pzEeMqiuarEmttlAVX7Qo3UeZEk9WXxWrOWBVZfJKxVtbQsfPvCFPWeG3O52DFVjKja6vvDHvaw+twoqK+oMEj9ox71qHo+9rzUC7P8cw9Wk2qeObw+FCrARTpaVYWpABfJfe+95H5R3yy2pfW+lQV7VUOmXkxluDA9fWEI+le96lV92SSoadSlCzPcn3DCCT0V0MLE9IWJWKtrhVHvC4PQa7dIaPoSGLfOieIQqOYtksy+2LxN5nWx/6xqq/pUHJL0xVnPJL80c0hdLVEhK7Z3kyRzl3qn/lEh9b71THgOnJt7VP5g4nkyBuqonj/fKO14TouzoZreqqkap/lv3rakLmrXVFzLJkW9NIZvq+Ktbd+kwrhOvjFRZ9FQqKfqdY+iXhjD7uKLL66YF7u/qjoOtz322GNSpjB6Nf2z5fkom3lVPbYwTfX+atd3yTNcbAqr+h08fJuMXf7CaE7qkn9sLFE3nAuT2WszKRFYTgjM3MZeVuxedna1IGAXGRXboBlDLg9aVz5GkzRSGTtZdpsZmtttjLgiVBP8zUV2te3EUakgFbCrjeyKBRXGpTqB0I4dPERdUH8YsFMhCgnRy172srqbpq7YBWfgbiczVPPsbAYxmLe7T8oU1+3iRVlG9s71izMMEomIMxJ15HHpIeD+f+xjH5sxX8d6aR6RiBYbhBmXza3Y7XfBHPj6179ej+s710mtrrnmmhnBRtUd88o5KYHdcfOMcxP90EfzT39CoirvlltuWZ03lAXT5LkjZfUstXOU90lpxnBE2T23A69+6rbqVYY3PjvbngHXkOcGwcczikh/h89LvTDLv/3LO8O9IK3zjljt5J1CCkH6OXzHkjBI984jyaByWRihek94bSyL4CoxIkkh0eEoh+t6f+YLiQgJFCc2ngHqdsi8IUkdI14baQ1ol1SQZKOlBzzgAVXTINK84z0vvEdyDtTONXPHnBpqF4R0NOrQd9oLnOv4881R12677VazmDPyDIl6KVxIZHiUNPdJ2ailhpoqD6n6YN4Oido1LQRSWt+EMXxhSr2PVIgkz7fFsxPfmGGdfpMCRb3GAgftkzoZJymzP2meRfT85z9/EkOLKiP1XJJuGKiLAyZjXLNmTXVPr15jm4bx2Fg8c+qGMTVbz3pSIrCcEEimaTndrVXYV164qBoUBwr1Jd9C4EPkryUfE+SDEgxTez3OqUOwx2jJB8xLHbUfXr+nteOD4eNBDaPsjNeFAC9eLQ37oa5giNp8ztkz6Xv7QYwxuR7nPmY+eD7MSZsOAUzENIo5M1+GyUKLWtLxxx+/VpXqivriYsyFDZ3rFkQtmdMtxW9HmxK81xXpZrUxsgAb0nC+D58l+aPv7XmMr0gruh122GEtFcaxMmPPy7A/Y7/ZTA0ZJ2pnK5GMdTYqkomp3vWoSZofoSYZKpfuUZGuV9VR7z1MECaHx09qY95NFuUW3kJGBPOhH8P37rBv6o4YdmG7Nszjd5FwVCaeOliRmFS3+Ji+4fwbK+udbT7FnGpVS20KmOvsD0NF2lgx90MyPt+M1laI2mKrpqoNDNFsZO57l4zhy14Pc8FTJLU5v+eqL9qKeuN31O+3sdk0GHs+I388k35HXbxiYrLXFOZJSAIEr9jwqQnlX7TVzpW45hj1tWl5nggsdQSSaVrqd2iV988HKRiZhYSCvrm/hSC7mIyNF4IY/s+Hike1+WTLPJsYgfkyTLo5jJu0UF1fyLlul5+9xmISOz9/8yGLyPWllnFif7FSXY6vLz7KYXgs+i2A3XsMvaDd7N/Yk7HJwVTBT0gG0giSodg4Ou6446rjHekcJ7CRslhuF+PD/nHY450vrAPmhn1dWyaY+KL6XK+ThpGWYSRssJGE6XO0EfnbdorKX7UvZbeDigpfPRa17Cp5YZeKASTFxRjd5z73qVKX6EccMVJskkhwYKCMNPZaJC36QSJrHKRb8Ir+RB0ajvMxfIvHuyrlwrhinPRHO3e9610nwbDVMVu9UT/pDmbWOEnF4IDi+nzObZSwY8NoYoiQNMwzO7ioa2wspIiuo8hXf+S/RGCZIHCnsrsxfat0mQwiu5kIJAKJwGIgEB/4aXXP9vrEMFFb2r+o9iQtXQRIEUhCqD9lgNv/uk/mLQcIFuOtNMKcJ6Ewv4OocMYimAQIs9ASNS6LdXlC3bO9PnbOSyiJfOSP47B+TLx8xYV37S9nB4KOR/44tm1Ii/626VTVSMyCASGN0R4GBUXbwzoxIMq1GgKtmqr8mKoWs6irrdf5GL7qUjZwxYShVu0w6ouj63E+7K++GFOMM/IpgyJ/vN+G9y1UbiOfMtQZMdBtXWNjacu05+pISgSWOgLJNC31O5T9SwQSgU2GgMXCbBSLirE8VGqSYRpDJtOWAwLFwUENLLxYKsCeHWqeFtlBFvKtV7xIn+1IlY+tjwW4RTs1S9KYpEQgEUgEFhqBZJoWGtGsb6MgQN+cEbLdSIblXJ8WT2OTtql2bF/ch/ugMsxF1AmGi1gqFK5Lj13mv/u7v6uqFXaf2Q4FMW6mxqEexL6DKgq1Fc4fhjTtelsPxxGMa4PoiIeLZUb6dgJDdSTyrO+RI4xpCxIOLaiULNYCaX37vKnLbQjTtKn7nu0nAolAIpAIJAKJwMIhMNPid+HqzZoSgUVDgJEtJoc6DUPh4v616t7TsQ/icYiqRHGZXA3Xb7/99omXoMjD85HYHFRNeIdSHgPFqJkhM33+8KQnjfoHo2P05S9/ucax4AFK+xihlsauU2kY1kPPn7G1v5NPPrl6RFOPcfFmRJ99oai4z51alV1ahBEdC5w4tWBeSAQSgUQgEUgEEoFEYBUgkI4gVsFNXmlDpMNOasKLTxDGRdDQcM1KyhQ69FzjthKjKMN4Nbx/kbQI9Ml9sXoFViRR4n6ZpIeOPAPjIIEPSaIYLH/605+u+txxzXHsOqnRsB7Gs4gr3hJfpzKDflM34e55LIiuYIr09rX/u7/7ux1ja3kxZTxTlXga1fU5F81UYAQubNVV9I2HK3YGAhKSMGEGGVKfeOKJNR1jGkbC+pOUCCQCiUAikAgkAonAakYgJU2r+e4v07HzwFMCgc7ovbgU4oKgEmCw44EJYRowFDwalUCENW34j5RHtHgenm4tHoq22267muXe9753lQAx8BVXoqUnPvGJ1SMStTzMx9AT39j1sXqiTowQyRJ1sBIAtzJ8D3zgA+Py5IiJovZ37rnndiXYZI1twyMST0UkYzyCkVKJjyJCPYnc0JUyaZf4USKzY54wi2KcMDKWbiwtgzhpPE8SgUQgEVjmCHDuEDHPbBbZNOJCezaiucB5wvrQmWee2f31X//1jKK+Sza+9MMm1vrQhvRpXdqzobg+Yy+B4juhPWhz+K4GcbwSKvPSbPb55m0MOuKII9a7mRLMua4n1ruCLLgiEEimaUXcxpU5CIwMiQ+Xsu1Ll+rcME6FOE5U8NgHUZUTHBFhQjANmBIxn8RTUqd4OEg9pFbS1UulLzwTMVCeFk+J+h3pkJgcmBcxX9q6x67XBkf+6QOJ1nOf+9x6lYQHE8i2itckTFkQlUJBTcUFwRy5Li/bKvZIXDUbM+aJdEmQUGqMQdqKoI2MpsVoadX2jJ9ErPUCFWXzmAgkAonASkAA04K4Fvf+b+MsjY3PRhVma30Ik0ANuyXfNJt7vjU2qlpnGG2+2c43pE+z1Tu8Fqrbw/S5fl944YV1jBgkTkW4KUc2L3kVDcI0clU+RsMgxGN51iWt/datSzl5Mb7ri8W6tpX5ly4CyTQt3Xuz6ntm0U/djARpTQmkF7TvvvtWJiN+Yx4QZogNkxgi4SJWOsaHlIckheqdOqm1+QhiVEh4MA9ITBAxNxCJlqCJY+RjS2JD4iVmBte8bd1j18fqkWYnj2SKS1kvZeqA4nn4qN54440dhxBBMKESSJL04Q9/uH7w9ZN07Ktf/Wr3/e9/v2YlPUOkSOFYwm+4RNBGvzGjYpAEwSiYxkjLYyKQCKw+BCxkxVUieQ7JDImDTSixiWwYeV/FYti7h1oxslA+++yzq70oST81YO8r5EjKTcIzTYJBBVu7NqKQujAav/Vbv5udDV0AAEAASURBVDXZRCIlP7GoE1tYe2eTvJAG2EhqiZ0mL33yHXPMMXVD6IYbbqhlvHtJmUh9grwzSUfGaGz83rXe/eqHF7KBhxEj2RhKkmzq2dgSZ8q354ILLqjfJvazvim+STa69EMeZAxiUCHfmpDMaE/MJZtuaNg/7/KImeU6NfZ2w9HvYAZt1mEmfXv0IWIBksbZSHPf4EWLw3cW+X688IUvrPfGPbbR2RJNDDjos3vUfsvafGPn5twll1xS5w61eXMGcf6k35hGaWJtwTHahpX+a3fIrEY77ol+u2f6hmw8KmcTkmMp5D4Iek/zQrvImNk301657rrrahoVeBLFxYq1VxvJf0sDgfKQJCUCywqB4rihLy+2vjAsffGY1xebntr/8iLsi7SoLx+lyXjKx7IvDFFfbIf6sqM3SXdSPMn1hQnpC8NS/8pHqS8v3r4wZX15UfYHH3xwX6RJfXEQ0R966KF9YUz6Aw44oC9MXF8kPv1DH/rQXv3FLqovH7EZdY9dH6tHoRIUsi+7kTPK+1GkVX356M5IV0fxFtgX262+fKT6a6+9to6vSKX68mHpy4u8L6p2fVE1rGN++MMf3pcPQK1jzz33rMcidatjNKayCKlpRTLVFwlUf8stt/Q777xzXwJ9zmh3tf4ob2lb0lP/VisuOe6Vj4D3ZlmU9mWTpS+bR32RqPevfOUre++PIhnpC4PSl8V6X5ifvjAh/fvf//6+BDvti7pVXyT5fVl892Wx2Rdb05pWFtB9YTD6suDtCwNU37WF6VoLyLKI7csGWO89X5iZvjAwfWEm+rK47wuT0JfgurVMsVntyyK8L5tg/Y477ljfoUUluS+Mxow6i0fSvjAKfXG003vHI+9ubReV5v7iiy+u51HIe7c4w4mf9QiLwoyNjt93x7gKg9Lvvvvu/c9+9rO+MJJ9YfT6wkjWttpv0hve8Ia+MCQz6vfd8X4uWgV92SireKun2K3WfN73vj2obJr1RfWtvve1EfeneIod7Z9vpDqLFkbvPd8SbAqjVZPKZl3FuGgr1N/FrrUeY+zum++R9nwzCxNUv0GFsaj3qTASbdV9YXhnjLMwWnXuDNOVLwzyjLJ+mGP64t6ZC7Bwz4rKX18YvL4wR31RTa/jKurqfWGCen0uKul9YXDq/CuM04x63Xe0zz779EXqVL95vpGFQe2vv/762o7zwOlRj3pUX5izOs/MbXOwBDzufW/li/pgVBj9ev9mNJg/VhwC6QhiafCu2Yt1QIAamp01u2h27KjVITZIPOG1qmXlQz61ZruA/oYkurx6SKeCSH2GxK25HcWIit5eLy/bGtF+eH2sHip3EbSwrYPzCjusLWnL7pvdVP0zVo4olCcxIrGyY8kZBG98pGx2CVHsTpZFR92ZoxISEjl1qkMQyw1RYWj7mueJQCKw9BHwviNt8T4Zvi9Jd6TzLko6I0SDXXfvFA52ysK1SoyoW9l1J+0hSfFHQ4BEnATqU5/6VJWkU2lGJCo8j46RHf+yoVPVjcvitjqk8dv7ifSJFAoVRqkrC97u7ne/ez3SRuAcR/mWSMPCFpSWQpBvh3H4fjgP8t4dcxzk+rTxF0aoel8l2fDtIP2HkzFSlW7JO7uV9rhGCsMpEedF/vSJZIO6NbUwjnloIgihwQYotAdoV8T9obY91j/SE9/LrbbaamLr2/ZneA5rat0cDO2///4zLpNqaY8GBg0PzpKopsNvaPc7o2D5QS18p512qmrtw2tjv90b9UYAX99UEkHSrrKp17GZgi3tC9+7s846q85BWJH4WB9E2bZ+6aGiLt0YzV2hQ9gGu04l3ryhlUH1H5lv0uQ99dRTaxosgki7qLwnrWwEkmla2fd3RY9u7IXYMkwbMvj2ZTitHi/0MYYp8s91PfKNMUxxLRie+B1HC4WgtrxzfeI9cDiGNh+cWqzaa2O4Rlt5TAQSgZWFQNkln6gnD0dG9cxCkEqShfrmm29ebS29Y75ZbHWoBfMAignyvqGqTG3Oot/i34KWgxrMTBD16NnIQtzCF1E3izb9jjadB3nPBjkvW9v1J6bDe80mG2bmJS95SWX+Iu+0o/KYmjF71uhLO34qdDasbFJhfpDrGBxMU6iPR3sYN32hKuhdS61ss802q7jKQ10O42UDC2N6+umnV7VxWFN1bOMRqtv9oco37f5gNLWpjVDxi764ZxgEmIcqGzU9+CtDPW2MAmfzAkNt84265TRSd5HoVWaGl9v5ku9fkbjV+XRE2eCkAmfMRRuiMk3mJ4r5ab5RscesTyOYY4bg7BtoTlG1o2Jp82BNYb7FS9S2OWRz0Z8xSNOGfO03c1pbmb7yEEimaeXd0xzRKkfA7qS/pEQgEUgENgQBDI/FIWYhduJJqtmNimvH/sWiHXNT1IyrB1KSnrCjIa2wGOWZ1KKTDY4Fd8voDPtnAWsBTmqibUwJCQc7E4xI2PnEhlJbX5yTzpAakIBpl/MBEhqSCWMaKxv9YM9EMhN2XNKjXnUOx09T4MRiWyXEA2ZDXpIOkgcLeEyRtCDSMdIc9j7bbrttvYaRwGQaJy0CjAsiQWGPxe6GpAOjFXY0mDrSLIt/DNG0+4Np5GGVlA9z1BJmV5v6gYGCEfxJpTAOKMYexzZtyy23rPeUFIynPJLKGKv+YXJIHUlvSAjVK529FAmVgPLmCAyDGSShxHQi0jdMOfs655x2YDiDYGGukDphlDDn5ipbJX0qKo2VoY/8cd8x90XNrjJAGF6SRfWzz4NRtM9eigMp48TEGps87ov7IS8vtS020VYeVyYCd6JwuDKHlqNKBBKBRGDDEIgFwLRa8vU5DZlMX+4IUFuyWLfQtGAMMudJQixKg6gtxcLRrvxwF540A1Mgj7yxeI3yY0fMQytRt6Bv+9G209YZ5/rJiykjfRIWTB71ZcxNlI28w/bjeqS3v8fGTyJBamFcMTbMDGrToj5H9WA2W40Av0ltog752rbb8+j7EJex/nF8RL2N1GlI2sRYRX0h6Qrso824rnycC4tRbIHqfcUEYpCi3LCd9f1NlS7U3ki1OM4g7bnssstqXMVTTjllhhq6dowJGVdLMRZpxul3qKhLCyxjfNLcW4xem6YcaVWMta1XmaSVi0BKmlbuvc2RLREEvHS9+L3okxKBRCARWA4I2H2nZjdceGJ8WobJWNpF/pBhcj127tu8FvekKBacQRawxUFP/RkL0rjWMkzS2nba9uNcP0m4qLWRqKg7vPFF2cgbbcQxro/9Hhu/RfWQWvXn4TW/1dMyTNKGWEtr+9KeR9+HuIz1j11ZhOFQZ0vRZtSn3y320WZcVzbOSV14mzMO0pu2XNvGhpwHw0QtjzQzvqPm1A477LAWhtqKMQ3bjbFIN87hPQosY3zyxb1t09TTjrWtV5mklYtASppW7r1dFSMj/idWp36woUSlg6EpFYh1JTtbdvPe/va3r1WUWgL1CQuEpUrUHmKxMp8+3nTTTVVNgUqFjxgViWkfqvnUtxh5qAnZCY2PLmcX1Irc55a4jfdhtEs63Im1AJmNLPySEoFEIBFIBBKBRGDlI/CfbrVW/jhzhCsUAUacdNYXgni6G8bUmG+9RP1UQcaIrje98Y1BvDjx3DQXkXzR1w5aV495dP4jKCS1hbmIl63ixnfWbPPJM2sFg4tnnHFGNfKNZDFeSP3o9hcXtdXewTl9e/YLYm8MGaoom8dEIBFIBBKBRCARWN0IJNO0uu//shw9/fhh4ECSnmHQRcEXw7uOiOQWxxb4jHkjMJ4AdxbL9OdbikCDPPaEByELa6oIDIFLzIuaXdRzgR65Ox0jAWcZu4bYXx72AG3AR7r2DHoR17zc4956RwA90qkw/GWgzMUsQ2benU4sxsehN89wuMRsqtKiEkulBiIctlMbuOMfT08McUM9BjZ0wwUu1GeEieGuVsT6ljHFWLRBIdvgh4IN8vhUYrpUg12MFVe4+spQl2etIFIa6fqgL20e920YMBImEUiRug0D62l9jDaGR+5jMYuMsRmFO2cEzRAbkyUocVIikAgkAuuLgHej75F3qoCv3LDPRt6nEUh2tnxj14SRGIalkM/7k0MF35NW/XGsjrE07/EvfOELY5cWNI2zD9+PdSXYsm1ic2fDLyT+bJIitEbUScNgY5D7HLZU69oejZncsFtX1DZN/mSaNg3u2eoGIGDhXYLKdaQqIs8jcRvEafLBEk/EkQ6ySOLcsfqwiEeCsSBdoB9Nv125NcXFaKuaZjFOP9uLLJgbbVD1ImGhzkVqIh9G45xzzqlGzvIMibcoC/yWlCmBDLsSJLJ785vfXKUfGCd9MDbGriLbY+7k5YWJTjovQ9T/eDfy0fBBDKYJoyV2BnU5DNhTn/rUWrZtx5iDqBIaD1zoY5dgfbUsr0+vfe1rqxcobb/nPe+p/cHQBGmHQTWMYFGC6db++HhRcVOnDzbDYGPElGC8qL4Fc6guHwmSPVIfRsptHh96TDD8YMTtrH7pn3z0yanOTeuj+n1IefHiSckfJnKMzCGugXm04mVrfRYZY/VmWiKQCKw+BELybvHuvTKb+2vo0HDw/l0f8i2zmdQSZsf73+aiPkzb0GvLDM9terUbZcPrC/U7mJ11rc8727vfdxG+JeB7fb/7nvC015IN0zGar1bGWNmxNBux8T0euz5b2kJqzMzWTl7bcASSadpwDLOGRUIAU0KyIsBi+2Gw2GZDw33p/vvvX1v3oZAPA0DSgTniqpTLWcFfSWfEifDnugU3d6QC8rGHCobCS5yaHTsp3p7Eg2AMbQfLR8iC3Q6Xcy9Ji30LeG0PyeKbhx+uTVviXhUzZ0HPoNrHqURLrzuSJFvsa/RBAD2enxjZYkj0Kfobdjptvc4xivoLh2E7PrBBDGBhIC8SdBCTw1U5LEi34I9JsVPXfgy0Ee04tmRn1ULB/cFMlijyNa/25G0NbzFtcMUEkvS1ebhyxdQyNIYPhofhL4kUWyX3frY+Rp8wWhhcH9ZpNlcYYW5q3RP33HxJSgRWOwIWnzYtbHaE++0xib5nFFnAet6QRa3NkzFp94c//OGOJMM7YtrOPDtQ7YbjBnV5x1Kx9e5FNphOLJs5NkTER7LTb7NpqDVQM5d/reaB97iNJ+97m1Nj45otf9RJ3Zdkn4Teu49NLMmJ96W+eZfYOAqSbuzTKDQcSPhpOPiGeIcao35iyPT5jW98Y/02am9I+mMDjkaEsjQpxsY3231Tp/es7686YiNpeB9sOsb94KEw4lQpb+MytCRI8I2HS3Yuw33nfNNpbFAVbzU/aBPEPfTept0B2xZH9dPgcL/Nkf3LOiDmimtzERV2GMHKBl+4yFfOeGly+P6az+bdNddcU6vUZ3j6ZsXYhm2NYT2mOYFZHmrMqMs4jZcrc/d7Ps/LsA/5e/EQmLniWbx2suZEYJ0R4GBAIEQvtTVFGhRk8SxeBwpmJ4IOSosAiBgBH3JSGEwTRgpzhVlqCfPQ7ni1dZFw+PBjZOxYCTQYcSIssIf9aOsl2RIgcOhZR8wH/fFBIJnh4cnCnaqYxQnmQh4B9OTxYcRERMBHffKHmfLB8uGOXUFtRbT5sXaif22+SHMMLJSlyqZ9H8p1+SCpB/YYRsydnU7tWaS0BFMfVosdi6E2TwSMJFnbvgTqRT5YYmqIj0Edca4+GguGFnYccfg9RpjgffbZp36geJiKBeJY3kxLBFYLAjacPLMWvKS93nUh0fdODok+JuHGG2+s71nvLK6YqbvaECINIO0mscaEeV/bALIRY1PFO2BINi9s+Hgn7r777lX6610iJtTDHvawutBVRp8OOeSQurCnIm0B7N0gVtAYea+qm1THO837+Utf+lLVPBgb12z5o35M5ZrybcIIYRS972PTxYaTjbvWdhTThEEYI+93jAwNB++3ww8/vDIrJODek7Cjzua+qMM4470f9fmOeU/akGppbHyz3TdlLfS9C933888/f/Q+CBTrGvLOhn8QBkr8JGSjU320CmzOmQ++s+YCqZbvtHHrp/c9hoazIffI/LPhB8tpZGNyPra8Ud5GaWhlmDsYIO3ZKMS48rSIMcW4Y17iHjpiXm1yUj0fozGsMZ00J+DpOTAPPBs0ZrQTKorWKphL8wou7KHnel7G+pBpi4fAnRev6qw5EVgcBDAvw8CBVNci6CBGwgcXEdt7CVo4c0+KofBCtICORXScO/pQeqFabEegQS9JUpBtttmm7jKRjnBjS03NR8pOlPxD97FefJiBIfm4R8BHanleynaTfGypr/lgYKoigJ4Fv10vbemTRYmXr92oNjChvpN8wUK9w3Z8sHzkkP7Cwg6pj5KyKDAQJFC7djgtfjCarZphYBZl4rcjwuz4EFGN9IEhfaLOp30fD+S+YMoszIxVm5HHh9VObRswEpMEU/3B6MBprj7GuLTXnkd/MdKYQ+NEPmYWHBjRsQVdzZT/EoEVhICFKWbH+2vIcHi3SacyjEmyaPeO8iyR2LMpJDGykPe82wCxEeQPY+X5tiCmSuy5DWm3d4l3whiRcGAUSIZtZmAg/LapYhFLCoUs0Nkmepc5rinMi3eI8mOkn96r3uWYE1oHNuCMwztqOC5jmZY/6vf+8e62meO8Je3os78g7xQSrDHCZISGgw05WgDejd6BpA/iIfm2yWdzx32hhteO13st1APbNtb1vrFDVbdv5YEHHlgX7uod3geSGFIxatrwn6YBEX2B9ZFHHlkZg5BKxjXfmNCkwCS7rxgZ6t+kUa1dcJSJo+vu5XwJTuYwjB2NwZqBBoNvIjK/MDUI02Oj0hz3LUbD731NLP+mYU0d0Hc5NCcweeac54B9LbJZ4DmzMUsKFxK32Z6XWjD/bTQEkmnaaFBnQwuFwH777Tf5UHjh+UP0t0mFfJyD7OaEFMkiO87V4YOMRPy2U6WeSJOXmN1HI+r34ccweXnHh8lOkHw+8JGmToyN3SOxTobkA0965APo4+gFbvGhHbun6nHuRd4G0CN1076Xtet2urzgo21pds3YG0nze9hO2xcfW333UQ/jWUxNqHz4ULuO1NcStUH1I7vG6vARjDTqL1747kUsGuyYtQRrWKCoP/Loh3sUKnvqtXiI65hDWMzWx5YZ1EarOoKxhLv5gBEL0p5d3OhzpOcxEVipCHjO/I0R6YCF8K1FerH11ltX6QBJjQVqSPRJACzqvJdselCbsxj1bqMtgPHAzAR5j81GrVTd+6eV/EebbXnPcVA80/G7PVoEY+DYLZJ0YKK83y1cqfAOxzVb/thUwVxQacYMxkZd2+bYuW/U2IK7HafNG/m870LaEkzGmKZF2w5pnE0lTA8ioYq653vfopyjjS/33pjD9iruAzti99p3q91UU84YfeNQSJxgiiHCeEyztYp76PtpY1KbmHlM1BjByv0MadBYnrE07/jQysCMkxJifKkZIgyO6/qjDeM0n20wzPZ9GMM6NCc4YIrvUNxHTFNozKif9JTaXpDNw6Slg0AyTUvnXmRP1gEBi9shebm1DJPr0vwNz/2OBX573qbFQt71oNjtGsvXpnnZxo5olB0evTSD2rJx7sU8/FBE+1Eu+hhlpA8xaNuJco7KRN72I9CeR/1tuSgbaZG/7YNrw76HlCvKOQ7rb/MMJT0WXxFI0U5x1D+sI+of9qf9PW1OKBvjiXrymAisVgQ8c54HC8EHPOABVTUpJPoWlVTmMFWYG4FHqRrbjAkbEZsTIVW3w26Don0nj+HKXgRDY8de2xacJOpXX311VRXzG8Xz3NbXno/VTfPAppB3Is0DjADGiTbBcFzKT8tP64DaGo0Dnu/Ef6NCR00v+hDHth82ekiyg/lwLfLRcMBohoYDCRtVNZs47HwcYWyjzMKaaiFJ1C677NI2Uftjww0j6DsE/7HxzXbfVEjFEoOJ0WRLajNv7D7wfkqjQnstkSq5lyRx7r1xhgYCJhzjRNoX43dE8RvGGEZjwMhgbkmjkHtmEw3D7h5iemwW3nLLLVVaQ/UOkXaSEMVvmGKOkI03dZrHJKrwx/xi2pE5jfG0cek5QL47oQEiHy2RoOj3GNYkSJifVnOC+uZQYwZeNj4xVtq3CRH1Rjt53LQIZHDbTYt/tp4IJAJLGIH4kE/rYkgup13P9ERguSKw//77V5fOmJN2s8acH0r0LahjcUeVabjx0ErVQ5I+Fy4k1bExIm9I+aNc205bZ3seeeOo7/6MqT13fWxcbZ7hufFaVJO6U/G1sLaot3iP8Y/1hdRiuOnX5rNYbjUcjBNzZBOpfR+FtKstG+N0HNYzNj5lx+5b1EntbahyN7wPGB+2OGNu041Vu/AIJrfVQIh29Hd4jjk2Zo4XuBbH7JJoLSRhiGy66RuPshgpDBgisbMBYAztBp770WqARH/a+TiGtfvVak4op26k/cDHbxiR1Mnf4uJa0qZFYO3t+k3bn2w9EUgEEoFEIBFIBDYxAlSLqSQNJbkW2SGhji62C75gGOKaYyvtjrwWlhEnLvJiFqhGo5Zh8rtl3Pxu24k6peufHXuL2KCoNxiEyOd30Ni4puWPciQBDP8tcHlzO/jgg2csftt+RTtDhkl6m2+It3EO05SJhXxbVnrQsMzY+NqyY3gOGSZ1D+8DT6/slMZobKztfW3bH57z3EclkXRGP8IWdqyd9U1r5zGJGluxIPZM+j8cA5zaMUT+Fr8xrON+RX7HYd1xra2/xSWu53HTIZCSpk2HfbacCCQCSxyBWBxN66aFX1IikAgkAolAIpAIrHwE/tOSe+WPM0eYCCQCiUAikAgkAolAIpAIJAKJwHohkEzTesGWhRKBRCARSAQSgUQgEUgEEoFEYLUgkEzTarnTOc5EIBFIBBKBRGAVIsATXwQQ5faZFzhxcKaRYKxjjg2m5W/TGfy3LqPjGucBvNAJBsvBwrrShvRpXdri2U9spPUhsQaF4fD31a9+tdojsRVCnB4I28GpBZfokS+ur097c5XZEMym3ce52szrKxuBZJpW9v3N0SUCiUAikAgkAqsagbA95BziwgsvrO60BcueRrfffvsMt+DT8o2lYw44R2iJK+v999+/BnUVk4fr63WlDenTurQVWK1LmcjLbbt++uO9z7iDgeSSnDe6m2++uRM/MfJxCR7EM980pxKRZ12OG4LZ2H1cl7Yz78pEIJmmlXlfc1SJQCKQCCQCicB6I/CmN72pxlXigvkDH/hArcdCmBczsWROO+206g5Z7BpEYhABWC2Mzz777Oqa/NWvfnX37Gc/u8brkU/cHvGMxGJS3xgJWq2MODhcLov7xG35t7/97e6MM84YrTfqISF45StfWeMZqYOralIl0h39+9a3vtUdc8wxkb0eBabl5nmMrrjiihq4Veyjr33tazULPMSMO+qooyYSK8wYXARaHZI+C0bOrTUmIqRYMBIjSJwj44OpgMJIgHBSGUyM2D8IwyWIK8bihz/8YU0b9k+8qAhWft1113WCfAcJlhvBW8UCEmhY/WII8WRIEsSdfASjFaiYZO6Zz3xmlRyp513velcdO2zdp5bE2TviiCPqn8DlvNGpj2RJgNqI38XTYOQTIDeIJ8KPf/zj1fuhfg7HQUonnWc98zA8JA7nS9TXHoc4uTbf+yj4vPvv3ok5hTB+L3nJSybeHmti/lvxCCTTtOJvcQ4wEUgEEoFEIBFYNwQsXi3aLbrFxxHM1aLWIlfQ0BtuuKEGdKX2duONN9ZYPe94xztqDBuBUblztrDcc889KyOBCbPot3C/5JJLunPOOWfiNrvtmZg/mBOBcDFJ1Li4f8Y4YC4e+9jHjtYbdSi3Zs2ayphh3gQz1aa6MFMC0WJOWrrppptqkNQ2zTnGBFN45plnVunQ4YcfXrMIUIvR2meffWpQV/kwF8YkQO2Qrr322u4xj3nMjGSBYy+77LIaIFhMIH3jXvqiiy6qUi4MleCugtiS2CABbsWF2m+//SoDONY/AXf1F+nPve51r3ruH2YIs4TggamiwkYl79xzz62xiTC/0pD7fuCBB1bcScfgpE/mhD4JLtsSFUTu3v3ddttt9dLpp59emRw4htttY5JH0N6WYCCIsn5jrIbjuP766+vcwexgLjF9Y/OlrdP5GE7S53MfjdO9xQy7hyeccIKilaHHOGKUk1YPAsk0rZ57nSNNBBKBRCARSARmIGARbOfeTvqQSEHEINp7770rk8Q2SJrF/VOe8pQOM0BihMGyG//iF7+4u/TSS+ufIK9XXnllZQLEM8JExeL/Oc95TrfFFlvMCNYabSuDIbOLj8kiASLVodol9tCDH/zgqfWqY7PNNutIFTAkzlsSF0cYgWF8HAvhMXU9DMajH/3oyghhtsStokJGKkQSRILiHJMnMKr4OqQyQ1Lu3//932ckw/LQQw+t8aZI81osYYjJEDjWH6wRhhFusGUzNNa/3XffvfaHZA2WysxGu+66a2V03ZOhtG3HHXfsHvGIR3QPechD6r0wPowTmyf1D2M2ucekPv4wb0icpb322qsz3iD1yfOWt7wlkuox7g+84AnX4TgEFBZ36wlPeEK9PjZfZlRafozhNN/7iLHEdB177LGVYYuAtJg7c2MsltWw/fy9chDI4LYr517mSBKBRCARSAQSgXVCgNTC3xjZzbcovPXWW7utt96623zzzatUQrDab37zm3VhTNpgwY25whxR6bLoJXG55z3v2b385S/vdtttt0n1pAOzkTKHHHLIxBZG3r/6q7+qbWEUSELG6sWUWEx//etfr4wVBo00aD5EhUz/hxTjlW6xLB/GDcNEGoM5wzDCgyQOYfSGBF/SGVI3JE9bd2CJSTE+UiiSDQypMb3qVa+qqmpRNylOez/UGf3DyJB+YLrYUbXBUY0Rk4dCBU/9VPowHyR5mIMhYTSp8ZEq7rHHHnUOULdrg7BGmRZHNkVUEalIYvRI/DBGAsG2+aKs9Ja5HBtHqC/GnKSiN5wvUV8cW6wDp/neR3Ntl112qWqJUV8eVy8CyTSt3nufI08EEoFEIBFIBKYigOGxkLXotLNORY6xP6nLj3/846pahqlim0SaQGpBIhS2K8cdd1z3m7/5mzWdLQjVOQvw2YJGU9uyWCYdUC9GzGKeShYHC+oeq5cEjP0UCYeFuj5iBthPRZtxHA4Yc4HB2mmnneqlyEcigvnjbY8UhooaPLbddtvuRS96UZU63ec+9+ke9KAH1XL6gJEYMgSkZs9//vOrOp9r1A2NQ71XX311Zbje9ra31Toe97jHVSYDI7bDDjtUtUGMDcJcYaQwPGyLxvonHwy33377ymz6HcTOyD0lDcME3f/+96+Mn7qoYh500EETrJQJhgsezrfZZpuqnoexYVuEmTvggAOi+o5TB/1DGBlqm+zHMHJvfOMbKyPHIQTpU+RTB4kNMpf0Q//+9E//dHQcmDUqeZhL3gj1bThf4IIW4j5i+M1/fSJJM16bBIFNbSj/rRoE7lQenAxpv2pudw40EUgE1gUBH93ZKF+fs6GT15YzAhiJv/iLv6iLw1YNy5wncbGADOKsIRaodv4xFi2RbmA+5JF3PgtOTAoGg2SirbM9b+vVL/VT32L3gyHAIFjkHnzwwZM2x9onfRiq7LX5MG8Yl7bf1LvgMsxHgtGmtThgCPSRJC4o6onfxuFPW+25635HX1qMIy36h0El2cHAjpH8bT/9RtJQ9L/F2vnb3/72apeEYTQ3SJDYPU2jtrw8w99j5bStP+bXcBwcVrD/onLYzkn1tPOlrTfGIm2Ik7TAf5ivxSfKOgZG8xmL/EkrC4FkmlbW/czRJAKJwAIiYIEzG1nEJCUCKxGBo48+unvDG94wWSQu9Bg9Ozy2WXwGYUze+973xs/1OrKd4UAAw8WZAOlQMBPrVeEyLPSJT3yi+4d/+IeK70J2nwoiD4QYDFIhHuyory0WDcdhbmCG2TslJQKbAoFkmjYF6tlmIpAILAsEkmlaFrcpO5kIJAKJQCKQCCw6Av9t0VvIBhKBRCARSAQSgUQgEUgEEoFEIBFYxggk07SMb152PRFIBBKBRCARSAQSgUQgEUgEFh+BZJoWH+NsIRFIBBKBRCARSAQ2IQJHHXVUdaQw1gXxpcIZwth1aQLAik+EOEHgaj1+18R5/JtPO/OoZoOycNvOEyE37utDvBF+4QtfWJ+ii1qGMw/j2lD66U9/OsPdvfq4WuftT/BmHhnNlaWKw4aOP8vPjkAyTbPjk1cTgUQgEUgEEoFEYJkjIK4SBwZj9Ld/+7c1ztHYtUhrnb6cccYZ3bnnnjvD3Xbkm+04n3ZmK7+h17g1f+UrX1ldgwsue80116xzld/+9rerV7t1LrgRCrT3qG2Oh7wjjzyyTZp6jvni2r4lMbae97znVWYq5tBSxqHte54vLALJNC0snllbIpAIJAKJQCKw7BF405veVOMqPe1pT5vs4Nth5zFNXJzTTjutMiGCqCJxc3hWQzfffHN39tlnV9fkYic9+9nP7j784Q/Xa4526e3cT5PuWNAr87rXva62IaYR9+IWqhgWLs+H9dbKB/++9rWvdYcffniNJ0SCgOZbVuyiww47rPZDf5QTH0n8oOuuu64Te4mHuiCBbklxWuL97RnPeEaNM9UGbR3rAymJ9kjEfvCDH9RqBAo++eSTa4ygYd0kHvqBLOqNFVMG2xe84AU1LlTbPy65SUo++tGPVgbAmATb/da3vtW98IUvrG2QoKHZ7qnrXJkb1wknnFC9H47Ni5NOOmkSSFdMJ3G3gpR/7nOfW8crThVmhztx3hQ/9alPrfVbOfNJHCwxuyJA71ve8pbO/HznO99ZXcbfcMMNtYkhlvoiCLH4VZiez372s7X9l770pRMG8MILL6zzWlDhlvQb1rDjYp3UaeiNcThff/jDH9b5ccQRR3S3lsDQSSsIgTJZkxKBRCARSARGECivej7Fp/6NFMmkRGBFILDffvv1ZQHe/+u//mu/xx579IVh6YuUoi8LxL64Ce/L4r4vAWH7wvz0ZbHal6CjfQnI2pdd/b4EMu0Lc9GXwKX9Rz7ykZr2iEc8ov/ud7/bl4V2Xxa/fVnQ92UBuxZW/+f//J++uDuvbZTAuP35559f23FemLW+SIxG612ropJQXFP3hZHoi0Sl9q1IEUbLGmthKiZVlKCsfQlmWvtw4IEH9sXVdl8W2n2J+1TTSqygisukQDkpjEF/+eWXT5IKE9mXoLd1zEUVrv/JT37SRztjuFx77bUVDziWRX6tp8S26ksg2P6qq67qS/ypSd1O1FGYsppWmJz+0ksvrX0sgV37wnT1RRLWF2ZoUkY9hcGY/I6TffbZp//KV75S+1eC3/a33XbbrPfU/SuBevvChPZFelPHPTYvTj311P6ss86qzbgPLb7XX399XxjH2laJudQbe5Hk1LyF4Vjrt3GWgLK9+1cCJPclwHJfGLy+MG61nsLM1LIlaHA9DrE010rcsb7EyerV71z/zdHCONW5qOztt99e5/xjHvOYWo9/5qj7fvHFF9fzuIdw0Iex+Vo2FOrzUBjlGeOeVJonyxaBlDStIAY4h5IIJAKJQCKQCKwLAmWhX6UGdv6HZGdfvKO99967s4svBpI0O+1PecpTurI4rRIju/iFqejY7JTFe/0TXPXKK6/sLrroou4Vr3hFDVb6ox/9qDZRFsDdFltsUQO9DttURlskOd/73vdq0FISGNIJgUUf/OAHT623rYtEoTB8Na5PYQa6HXfcsV6e1qe27N3vfvfupptuqjZLhdmZEUjV2IUiuMtd7tIWqZKafffdd5JGCvToRz+6u9e97tUVRmZGHWN9ID152cte1l1wwQUTSYo+F2azlofFfEjgV7GTDjrooCp9ijIC6rbSLumC7RrfbrvtVvtXmIkqvSIFnHZPlRNAWEytwlBW6drYvCDVIZX7+te/3q1Zs6bGdVIW/fzP/3x3/PHHd4W5rmPddddd670yL0jEhr/Vf+ihh9agySRL5p35IM2cKIzff1Z8x/8hlgIXR1Bh94Uk6Nhjj+0uueSSqpZJSif2k/temOUZdSnnnsNvLATF2Hz1bJxzzjlVKjuUSs2oPH8sOwTuvOx6nB1OBBKBRCARSAQSgQVBoOycd/7GqEiG6mKXitHWW2/dbb755tUhQpEodd/85je77bbbrjpEsNjFXGGOqJRZYBYpSV28l136uiiP+s8777w4HT1a8B9yyCEzjPE5LdAWFTVqgPIM6x1WZrFKJU/wXH//+I//WLPMVla+sgVeVbCKdK2OtUh+6mJ6WP/wNwbk537u5+qfa/e4xz3q4tz5z372sxkL7mEftIsZZXdFzQ/D0pLFun61BO9QU6M2GOSeobhnkf6ABzygqu9Rcbz3ve9dGSZMpT92PBgL9xSzs9dee3XT7qn6goErUqmp80Ib5sGb3/zmWlf0w7FIDau6G2bqkY98ZGXAqMBhQKjfYRzb3+YnRxwo5l2LL/VAzBOCJeazxdJ9CYYR9rvssktH/TIIIyVwL4qxxbW5juobzldlLrvssq5I27oibasM2lz15PXlgUAyTcvjPmUvE4FEIBFIBBKBjYoAxsSCE7Nk0U06UFSjuvvd737dj3/84ypJuNvd7lZtkyy0SQhIANggoeOOO64ukKVjWopqVWUexnbsY2AW7Wym2JJYDGPELKTZqTDQV/dYvUPJj/rY9jz+8Y/vttxyyypJ0e5YWen+OErA/GBgSOAstNnjFFW4ikP0e0x68JrXvKbbeeeda5vaLip8Dt3Tn/70jiMCdkfRzlgftt122+5FL3pRzXuf+9ynlo12lIvzeqH8I82AFRsx2EbfMAAkRRipljHAVLz73e+uC3xtsatyHb6//Mu/XBlR7RaVwtoE7MfuqYtF5bIrammVgf3Yxz5WxzqcF/KxUXLvtNsSCRy7KYwPBhyjqC+wJyEb/nY/4Mj+CXPjPm211VZ1nKRQ5qj5ASPnQyzNUXWTIpF+mc/Of/EXf7E688AgIu2QNmFIW4r7Ji3O4zg2X/XJfcC4YpySVg4Cd6JYuHKGkyNJBBKBRGDhEIiFyLQa8/U5DZlMX+4IUNXiGMBC9Jd+6ZcmwzHnLbgtOIOowsUi0k6/hWtLJCIkT/LIO2QA2rxxTk3L4pUEpK2zPW/rjXLDI2kTdbBhu23Ztk7lORhQBhMDAw4ASEyijji2bUkLDNp0DJNxGPOwnbYPysgL66i/zd+eR/0kRO4HvNVPukEd8pRTTqn9n4Yz6VJ7/9Sjfip3Qe142rajb9T6MCNBY/Oi2AF1n/zkJ7u3vvWt/5+9M4Hba7rW+HYvVa2rFWNKIhKEDGIsasiAiMYQYw0tMauhYgyKxBSCGBLSEiTUVFMNqSlIzPNQQmtsI9RQWqq9t657u+/+r1rv3d/Jeb8heb/5Wb/f+51pj8853zn72WvttTxZZVvsKyQNcY1R8Zhrnod9F54TiA6St9PTenvZUqb3u6x8zlG/5/E68mOvIz9Huvx59WPqKv4veJnatk8E2gRpSovvzAsNak5erBIhIASEQFtAQKSpLdwFtaE1EEjOGML48eMrg9hat4FBNpoIBqEuDNqnTp3qh43e4hGuaPaH1zzMpuZH0GbgCZCBMcQAj4GMT9q6oJ0jhhLrwdqC4P1w+PDhFe1VW2iT2iAEFgSBViNNvIywFUbNmruiZJEnL2sWpVabJVmQDiuvEKgPAZ9Fqi+NrnUeBESaOs+9Vk+FgBAQAkJACNSHQKuQJlTD2JMWFzvmDWV24sYbb5zHtjRPo30hUCsEWPyJJyAWySb3rmabXquyVU77RUCkqf3eO7VcCAgBISAEhEAtEWgVl+PJx3+9hIkOQqiIwCwRAs2NAIRpyJAhtnCTxc1455EIASEgBIRAyyOA17OyNTDz2xIW5ROQFCFQLA4FPHhstTJHpqCktRaCzmI6VyY4KcBjHD9cdDeXEMh22rRptvaJOuprU94GT1d2b3Az7+uD8jwLss/EJcFsc1nQeprjnubt037nQKDFSRPRntEgNUZIR3qJEGguBHBfi+cgIqkjePpB4yQRAkJACAiBlkeANc7uXroWtbN2CsH0+vbbbzfPb3jTq09SsNf6Ls/XNawY3O15sYC33nrLXLUTxwp33CxdqLVQNh73cE7w4IMPmjv0+tqU1+/pyu4N304cSdRSaCue53JZ0Hqa457m7dN+50CgxUkTPuubIk1N35SylbZzI8Bs4xZbbFEJAIh73RTJu3ODot4LASEgBBIC5557rrkIJ5go7pwRNAo4RcAlOO9K1ibjOhphAgrnCQgkAE0BXvZOPPHEsOeee5prbK7hIhvNBW6x69NQ4PWOSSy8tF166aVWBo4FqPPUU0+txCjCJXi+LhrX1QTDpU7y8Z6nDNqGpuWII46gGRW57rrrzPNZ5US2Q78p64ADDrByIAf0H8EdOZorhNhU7LPsgFhSyOuvv26OLnB24QSAoKy77bZbOPPMMy1N/oc4VPvtt1+gj5A7BAxxgw0OeNoDc4/DRCwiNFSQQlzBI0Wccqy5Jzja4t7RVoILI2VtKpZjCev5gyt5NHhgieB2nnXpYIebcARX35xzLSLBkDk+7LDDjEzSD4Ld7rLLLuat0DKV/Ln77rvNfXvx2Zo9e7Y9V2Th2RkzZkxJ7mDPwEEHHWT3Cs+ICG3hPnH//PkoPkfF+siX41vfs0xaScdAoMVJUzX1dDU4m5q+Wjk6LwRyBP70pz8ZYeJFi4gw5ehoXwgIgc6OACbyDMqJL4S7bTzKQVYIWooVyGuvvWYBSDF9gyDgWvriiy+2YKnE8UGjgevr9ddfP1x22WVGwjCFZsZ/xowZ4corrzS32GU4oxXCnAorAAKevvrqq0bg0HjgKY+YTDfffLNlxZlUr169bP+NN96w+Eq0GW3Ftttua/WRb/To0RZfqjgxRh4G2WXSp08fIwKbbrqpxRqiXW79QsBa+oGADxYKkBviNSF478OpFeTTA6tCnug34xpiTuVCGkgdbd94440tDhIuxCEbxHyi/TjHwqU4mjgIFbGknn32Wesr+BdxyrHmPqy++uoWTNbbTf3FNpWVk7ezbB/37BBMSA/xoXCbTmwmvC8S4wrhGho0YiJxbyBuPBebbLKJERyeN7RJpKmmkQO3yZMnG0ErPlvUCSGDfBFDCnJdJpBpCCf4UQZYQuwh8v369QvEkCp7jor1NfZZLmuDzrVfBFo8uC3/LE2RpqZvStlK2zkRcMLk6no+JP379zdb71ohwgucQIF87IgzIhECQkAItEUEGHhDdoglVDQLQ8vBeQbxkCTWBzEIZvCOqRcz9GiMGPASzJN1J/fff7/9IFbM1qOBgmhAovx7zsDZNR1lmFAGgWJxGY7GgLpxo43WiHg4BBRFS8GAu0ePHpV4QcTrYcCL+RnaJd7DLryHcexSfB9X00iQD+0OA2yIAPVUE0jbBhtsYOSIwTRkE83DeuutZ1kIxIrstNNOhueAAQMC6di6QHggWASUhXCh0SI9cX7Q9hE76rjjjrMJPvqAho84SASH5V5ALos4UXaONfeD7x5aFYgeUmxTtXIscZU/aIf8OWFN1korrWTaL3AAQ4R6IJYE9oXYfPzxx2HUqFGGFST4+eefN/fklDNixAjTVhWrIxAv2ixiKdHO/NnCwdhGG21kWqpf/vKXRvCL+WkPzwXkCBk0aJA9txAsyCKkbbPNNrO4T8XnqFhfY5/lYht03L4RaPHRHJGYXb3cGOhILxECtUSADzsfeBde8s3ldISI50RKZ6DBx00iBISAEGhLCAwcODDwKxO+1cQpQhvRtWvXwPeYmXneZTjMwaQMbQ4Dcwa7DGoxVVtkkUXMFIzYRmjxfZBKHcV4SmX1MriGIKF1oQzIE2ZcuVAHA3/qRgPEQBytF0SENkIAPehpnq+4j9kVbS8KZUKYcH7wyCOPGDGkToKmIhCpokDKaAckAE0UZUB6iqZbni7Pv/baa1sIFj/nWHPsWEPOIApoUtDSQFiJbcX3BfO7Ik5jx4714sxUkn4yQYgZGgQrF29TGd55OXke34cA8pzMmTPHnhPWZUHEIZobbrihJUMDB1GClECoe/fubaTay0BjiDYTobwywWwQ0zpIcdmzhXbykksusfyQ7qJwXyBXmFlCPMEVE0JIGNotiDkTBGi0is9RWX2NeZaLbdBx+0agxUkTD6Sr1RsDHeklnQcBZnMwI+Dj1FyyxhprNFfR85SLNz5MFJj5wk59zTXXnCeNTggBISAE2iICEB4G/QzgeW+ydoZJoFVXXTXwbsN0jMEypAANSd++fU1DcOyxx1p30CowgOY8g1LWvjA451dN/DrmXXg1RTuCaRrrlqgHYgbBQFuCORzpGHCjRUAzhuYMUzfWOkEmvDzfFutF24D2YpVVVqlcQpNGv1dYYYVw8MEHG1HCcoDz9BOiiDMJCAvCeYQ6fJ9+037wQaOS15/vF/NZQekPmjTWCbEmCDJBHxHW4T788MNGXHv27GmmhbQD7RvrlXKc8nqefPLJAPlZfvnlTePHgH/SpEmVe+Fp6yvH01hDvvqDaR44Q0S6dOlizwkmbmjCmDSEYKMdhNyicYNEQaJ5piBvaCDBibVekD7MDbmXkKpcqBsiA2li3VHZs0W9TICWBff1+8Lzg9knJIh7yrPEswkRhRAPHjzYNHvF56isvjI88jZrv+Mh0OJxmlDTN8U7GSrToUOHdjzk1aNSBLCZx90odtvNRZxQxe+///6VyPOYeDDzxWxTrYSXLzbrfNCnT59uxfKR5QOI6YKkfSDAR7E+YVZZIgQ6IgKQCRbKM9jMzdx45tHOMNh14Z3qA0jXrvg1tpho4YSANKT1AWyeJt/3NHm5DLzRlLh5HaZpjA/csQD5MWFjEA/Roe2QC9bSeH1ebl6Xax3yc3kfeJfT/zwv5I3vhZ/L0+f7rJWibjQcnpZ68n2vt+wc17x+Twf+/Cg33/frOU7FMukr9841cPn1fJ+yqpVTTOfHxXb6sV8v1k0droHLv71gxj30fKRDclzz/fzZIh0T7bhuhxTlkuehLRxDNiGZZ599tpFsJgK23nprI3DF58jNGfP6im3M69N+x0SgxUkTMDK7wCC1IWHWiBl6SedBANLEAlFm0yAbzUWceGHiqcht+Jl54iNbZqaxoOhjRsFHnA8cEwB86CXtAwGRpvZxn9TK2iOAEwO05PmAtpa18D5EW8S72IVB7NSpU/2w3i1e5oYPH15He49GBi95DGbR8LAuqDh4rrdQXWzXCGDWxzN7wQUXNLofmFGiQcXckucPLRUaMT1HjYawUyVsFdKETSnEicWj1YSXIcSqOQax1erMz89KXmskLY8AJGZaCr7HfUcD1NzEiUDLV199tXUUu37qy2dVa4UAJgF4bWIQjgmi23nXqnyV0zwIiDQ1D64qVQgIASEgBIRAe0OgVUgTIDETxAAZO908xsJaa61lbjqx53WVemuAymBJC/dbA/l/mXJQc0sRJxaPehwSVPtognLTk1qggM00tuTMauEBidkwSdtHQKSp7d8jtVAICAEhIASEQEsg0GqkKe8cUaZxA40aHbvntiANDZbaQhs7QxsgTsTIaM41TpiHQNLx1MR9h0Dh8rXWgjtUFuOy2JX+SNo+Ag29BzAxkggBISAEhIAQEAIdH4F/uXxpxX7i5QbSxMCVBXYsUpQIAUeA54HYIHgrQkvTHIKXJEwCseFnbROefJpDXHPJ8y4RAkJACAiBeRHAxXfu3GHeFI0/w3u9IeH7gqtyhPW0eKzD3Xk1qWX78joIheGOEfLzvs8EDY4tmNQjCC6C+3HiCeHA4JVXXvGktsWCotaCO2/6n8uC1NNcWObt074QqCUCLe5ynPgJrGViXQc//OQXZ2txA4mZFGtamJWXt7Fa3vL2VxbPR/EZqXUv8MhUqw91tbb9IcU6QTzQoR3ojxAQAkJACFQQYFKJcUItpDHfDU/DxC1hIZ577rl6q65l+/KKCKyKV7dqgmMsYmWxhIH4UbfccouZkvPtwkLn7bffNtfunt+Dt/txLbaM1wgGn8uC1NNcWObt074QqCUCLaJpYv3SrbfeagH0eqRgZ8QvYLaEf3J/YeWdYhaFGAsEsyM9Zk0s1sd3v6RzIdAS65paAlE+LATRxdyL51kiBISAEGjLCJx77rkWV2mHHXaorPlEE4JHOuIB4diGbzvxeBC0HngcQwi0esUVV5jlyIknnhj23HNPG+RzjcH+5ZdfboFZ69Os4HqaOEyff/55IKgpZeAxjzrxsoplCsJYIV8XbSe/+uMaJD9HmcR8IiYQ5aG5QatEHbSdsQcxgHIhhhPut4sCyRozZow5tcL7Gu3iPU97ENrkwU8J+IsWCwdYrhG6++67wy677GJ9xOIGIe4V2P7qV7+yY/9z//3327eDNeA4L8KlNsFpibPE2AhcyEObXLDMoE/USewjhHEXwVwPOOAA6zfjL2I34cWQcDBIEWuIDWMxNEqu4bKEhT88D2iOmBzEWyzxnggijwdkwoggHGMGXyYEECaWE6byr776qiUhRhft5V7RrrL7V6yPjLgQRytGfCyJEKglAs2uaSJgGIHuZs+ePd/tZh0IP17WvBz4J2oJcXOqlqhLdfw/Av4x7CiEiY8Xpn8I8Tr4UEqEgBAQAm0ZASxCGPgyyCVoKEE/GaQTUJWBNgNjBsQQk9dff92+0RdffLEFOmWSFIuR008/3YLBQiowfcaCBGKBVuXKK6+0eDxlGDD4Z5DOIBqLFAbRBMZFwwI54D168803W7w9iES1MA7EcjrzzDMrVVAGE7GQCcJabLbZZtYXyoNMEdCUwX8umL8xWPfYRn6NNu60007m8pzwFZj5QQIhS5Cyd99910gC73ti/NBGQk6cdNJJRgAICMu5999/v2J6DomBUOJdFbLq8vzzz5vljR+z7dOnT+jfv7/1DxfbYIWpucucOXPM1BDX67STuIHkgYCAAzEEseRBqwfx+uSTT6w9RawhPOuss46lJYZRmVA/+QkUC664jacv9IFnAgLDZCH3HFP7onz88cdGvmfMmGFkDswgnNwPSOv3v/99y1d2/4r1oSlk3EndkGuJEKglAs1Gmnx2gpmNWgkvARboM1PFLFZzOo2YOXNmrZqtcpqAQEu6HG9Cs+Y7KR8SPqizvnJhD3liMCERAkJACLQFBBiYMrBlksrj1nm7MAnjPGQHzQbEgME+nm233377wHdyu+22M5N7tAisy0Erwo+QIWgK0EChxcAjKe9DhAH+0ksv7dXMsyX/aqutZgN1tDnUTfwctEJofSBzaCQw4YcEQQwaI126dLHxA+9g9nPBzA1LAA+e69eov0wgWkzmogFhUpjJPuL8lEmvXr3CBhtsENAoEUsIrCCieFTl58L4hr4sueSSltbLo02ujfK0Tz31VHjmmWcqQXwhLGuuuaZfDqussoqRGE5A8PjRRognMYnArW/fvoEQMNwPCC4EtYg1hI17zv2COBcFz7CTJ082Mkwd9G3cuHGWjGcHssS9Q5tH+eeff36xCCOa4MGYjh/xGekzhPXBBx+0vIQCKd6/svq8cDRyjX0uPI+2QqAhBJqFNPEgMyPhKtmGGtHU65Am/ulR5+YzK00tp770gwYNqu+yrjUTAnzA+SA3Z4wmPhzMQDanuSfR0JnZY7aMCQSEZyqf9WwmCFWsEBACQqDRCBCfjl+ZoAVh4IkJFOtpllpqKdNMYIXB+pbu3bubBoBBNwNk4tFhisagl8EvHnGPOuqo0K9fv0rxbrJWOVGys9VWWxlBQstFGWhEMBHLhTrQ4FB3QwLhgIBgIs2aIMgbGozGCM6I6FtRGN/wvaKNbpZIOreUYIxSFEgZGhhIEdoVBEuEopdOT+f50YhBPDAdhKzhbZj7QX0DBgywZL5X7JzjAABAAElEQVT1PDiHoN98TxmTIRAmTOgYO6FJBBO0hZAZTCHR2hSxxtMrQYMhTRC+okBkWHJB2VOmTLH7BQnPx2aYHGLGyTewLJSMP1eUzbouMAc/+oQmDDKPpq94/6iD56NYX7GNOhYCtUKgWUgTAUKbizB5xymfepjtknQsBHhxN2dQWz4+jf1g1gpZZkUxh+BDLxECQkAItAcEIDwMTBnUrrHGGgEzuwMPPDCsuuqq5rGNNTiQKszSvvvd75rmAg0IJvnICSecYANqNBpoJDCvghAUSUKOhV/nfYknU7RVmM5h9kY9EDO0KqzDYaBPuoYEjRlrqyB5OPyh/ZAFTOG8Pt8Wy2Kgz/cCzQ3i6VZeeWUzMzzooINsS//XW289I4msI4IcudMEJwrkZX/ddde1svDUxwQbxMvLzeuwROkP5WJih7ZqhRVWsLRMHkNkMOWDxGJ6lwuEiPERBIS1PdxH8mJWSZ1o2yBP4MsE4rBhw2zpAwQnx5q8aG169+5tZI125kJ/3DyRfkCOKAvtGuSQJRVoBsELrVUu3mfuJyQbPNAkYsL4ne98x0gpxI91Ymi7yu5fWX1ebl6X9oVATRBI/9g1l6TmJXhJs/+oR9KxEHjsscdieoE3a6da4vlML+2YzC5i+rBH+iRpnwg09B5rn71Sq4VAwwgk7VNMWvKYzKrqJE4OD2IadNc5lzQZkfNI0hTUucZB0npUrpO2IfE0ebm0JWllKlmTpiQmc+fKcXGHtGkwbqe9bYlExLSeys4lwhWTFiV6XZzM9y1R+pPX6ec8HX1NpKTSN7/OOSRP59dyfMC2oTSejy39SOZ0lVNelm8rF9IO5dL2RDTz05X76fXSVm+vJyxiTTn8PI+nY5vX7dc5RxkuSbMXE6n0wzpbz8NJ2uHHaZ1UTITO0iavhjGRo1h2/0hQrC9vkxWgP0KgRgg0i6YpPbA1IXQNFdJS9TTUDl2vHQLYNTe3MIvFDGX6CDRbVZhNYEYhEQJCQAi0RwRYH4NmfLHFFqvTfGbxWZ+Ui2tSOJebZXma3KmSp01jGNMWpUGyJzNzMZwIeBrfkqDoiAHzZzQcCGbP7pXOTqQ/aFPcEx5tRtBS4RyA9zOhTHAwkNeR71uG9Ke4xonzno6+FvHhup/L03EeyfFhnY5Lfj7f9+ts6Qdtd/F0vvXzbKmbX7H9Xqe3zdua5y1iXSwjT5vX7WVyLi8D7SMWHmXiebiWtwVnEJg9sm4MbSaOwFhvVbx/5CvWl7eJ6xIhUCsEFoJ81aowL2fs2LEt4rVkTFqgSV0SISAEhEBzIOCDrWplN8Prs1pVOi8EhIAQEAJCQAi0IgL/1op1q2ohIASEgBAQAkJACAgBISAEhECbR0Ckqc3fIjVQCAgBISAEhIAQEAJCQAgIgdZEQKSpNdFX3UJACAgBISAEhEAFAVxi4+HOhbXLHu+ROFB40MPrXXKw40lKt3k+AvASTwrX1E2RxtTTlPKamha32wTzxT14mQtzL6+x7Zw7d26YNm1amDVrlmVtbD6vh23x/uTXtC8EOjoCIk0d/Q6rf0JACAgBISAE2gkCyeuaxebJm+trB5PnO4vj8+6775oL8zxN2b7nwxX2PvvsM0+sp7I8+bnG1pPnqeV+8hoXbrvtNiNMxK6C/JVJY9pJbCpckOPEg4CxxIlqTL5ifWX3p5hGx0KgoyLQLN7z8JJCXITmFoKaSYSAEBACQkAICIHaInDuueeGFDYh3HrrrRYjiCCyaHmIu/Pqq6+GjTbayLyQEpNpwoQJ4cMPPzRNTgrpEN566y3TZuy+++4W7HbOnDkWg4dYQ8QXIvDqHXfcYbGSco9peQ/+8Y9/WJyn0047zbym5dfK9gnAS9soG69/F154oeUj5hAxmR5++GGLN0WgWIQ20Y+tt966UlxyAW7OpSir6O3t0ksvtTII1EvcKPpLXyEjBIQlFhF9Q8OFdqh///4W18oLf/nll83D32677WZxkN54442Ah7hx48YZrniGA8v111/fs9iW+E8HHHCA5YU0QnqK9ZIQD3VXX321xWsiJhVeYrmHCE6ztt12W4uFRBwm6nV57rnnLE6Ut5dyJk+ebLGb8DJL/WeffbZ5sKPNI0aMsKz5/cG7nUQIdAYEmoU0QWZEaDrD46M+CgEhIASEQEdEAJMwiABaGkJBDB48OEyaNCn07NnTiAVBUiEjaD9ef/11cw2N+RtBSCFaBE9lcM+gm6C4m2++edh4440D5IHB/5VXXhm+/vWvl0KHG/KRI0cGiBoD8rvvvtvIV2nir05CEqgHDQrBaBmDkI82QIwImr7ppptWiijTmOCNlwCwuDB/6aWXKmnvvfdeI1gE5z388MONFBFoFjfYBP4lWC0Ekb5Bxugb5AS36AMGDLByMK+DwEGa0PBQPuTlnHPOMc2PB3clTy4Edn322WfD008/bRh8+umn89RL+vfff9/MGCF7aKcoH5KDu3eC2OKqm2C7BMM944wzwpZbbmnVQBDz9uKSnIDBf/rTn+weoJW65557wg477GBlYJ5XvD95e7UvBDoyAs1CmjoyYOqbEBACQkAICIGOgsBDDz1kGiLi/1x11VV1uoXFCOchO2hCHn30USNFxNbB1GvmzJm2VgiCxSCdNUf333+//W688caQgpOaRua+++4zDQlaGQQytPTSS9epKz+gjNVWW800OPn5+vaXXHLJMH36dItlhIbMhbABtBftUx5CgDhU/HJBy4K2CDIH2bvrrrvs8uOPP279h5B89NFH4a9//WugvvHjx5tm689//nNIgVkt7Y477miYQZY++OCDCmnK68n3e/XqFdZZZx07BRnhl8cZQouVgqTbOi6IIYSurF40QIsuumjAjA/ytvfeext5XG655YyoUQH3g2uUd95551mdaP+4x97eVVZZxchnCjIfIGgu++67rxFYjufn/ng52gqB9oyASFN7vntquxAQAkJACAiBBUBg4MCBgV+ZoL1A04M2omvXrqZVeeedd0x78fvf/z50797dzL4gQQy8CR6LFgOCguYEbc9RRx0VMGlzuemmm3y36paBP+QELdeee+5ZNR0XMBOD5NBGyB3EAacPDQnrnb744os62i6IEJoqiAamiC70A/Jy2GGH+SkzBUSbhvkgGqSiQNB8TRXXwMdJSO7UAXNC2kF6TPtywkQ+ND9gP3ToUCNMEydONC1esV4IGoKmi/RohjBF7NKlS0BbBamjDZjh/eAHP5jH5NHbe8ghhxiJ7tGjh2mlrNDCn6bcn0JWHQqBdo2ASFO7vn1qvBAQAkJACAiB5kEAwsMgHhO0NdZYwzQQBx54YFh11VVNw3L99dcbqYJgoJnp27evra1hbQ5ywgknBAbhnEcbg3kbg3N+1cSvYyI2ZMgQW+ODpgjxa77FVAyTPDRCyy67rJXPmh/WFKE1K+bL68R0DzM+98zHteOOO840NJggrrfeepX6MFPE3A5yRF8hh2iHMOd78sknjWh5m9gifmwH6Q/lgSeEBTKFqRxCeWiJ/v73v9t1O/nVH8jgBRdcENDUYU7IGiVwLNZLckwiMaNjrRUaN9aKrb322rbmCjKImR350MKh8YO8Ym5ZbC+mmEcffbRp0jDtQ/K++H5+f9AKSoRAZ0BgofTPGztDR9VHIdDSCPBh4sPF7J6kfSLgA4pqrdfrsxoyOt/eERg0aJA5a4B4oO1w4ZlHawE5cfnnP/9ZGVgXzctIg4YFzRP/T6R1MuP5i1tP4+Wyhbx52X6dfLSHcvv06RNmz55t+6w3woSMNpIvT5/X5eUVz0Fk6HMxH2Z5vM8XXvhf881oudinP/zy9Pl+Xj5l813w66yHwiwQLVO1NV55fvar1Ysji9wpAyQQhx1onRDq4N4tscQSduxt4CDf/9vf/lan/0WcPC1bJ1FWoP4IgQ6OgFyOd/Ab3N67h1cmZvmYZcNmnhnEGTNmBF7qLnwoOJ9LMR6Fx7sgHT8+AmXCrGFeNh6XsO32/Hh8ctMKZgafeOIJu447WzwU5cKMLCYT+Uxmfr24T/paDcKZ3eXjLBECQkAIzA8CrPfBzC4nTJTDIDknTJyDMHAeKZqXcQ6NhV93wsS7jnf7HnvsUfnxHkU8jZfrZfrWr5PWy0U7gjMG1t6gCYIYlKUnj4tf92O2nPM+5/VwjTKdMHEMyXHSxHGePt/nmot7C/TraKwoo7GEiXKq1ZsTJtKhdRo+fDi7JtTjhIkT3obifrH/RZw8H1vH3yrQHyHQwREQaergN7i9dw/7eUwamKVkASyLkSFPm2yyic2M0T9ICZ6cMNVAsEnH3IEPOwuVOSbexc0332zkCwJWjZycf/75dWKE4HEIm3Pys0D4vffeMy9MtAHbcRbTfu1rXzPChI2/C3VC5rD5r1aXp/Ut7Wfmrhbi8UxqUZbKEAJCoPMhwNoZH+A3R+8ZbGOuh4mc/6ZOnTrfVe23337mzY8yWiLkyXw3tJBxypQphTO1O8REke+TRAgIgdogINJUGxxVSgsgwEeWWBPMKDLzBSlBsOXG7ptFwwjuXCFZ2KBDetxLEyYbI5MbW375bKFlasQfbPbxDoWpAy5g6xM8R2G7Tj2440WIdcGCXNrlmjHihDDTipteTC4QzCeIs8ECaI9pwnUE23bc3+ZCnI+TTz7Z6nvmmWfsEkSN9QZ5XdjDM0ih/Y3VfuX1aF8ICAEhIASEgBAQAp0VAZGmznrn22G/IQLE3MCl68orr2zEiCCKkCLcprIIFrO7tdZaK/Tu3dtsuTHlc4EwYA5C0MP5EcrHRpzFwB7gr1o5aLUgLAgLjhHyYxPPzCKkCCFoIbE+aD9aLO8jAQ4JpogmCzKFtosZVDxToWXLBTIEEUITR3kulJXXhVtgTA0hTJg9Up9ECAgBISAEhIAQEAJCoGEE5D2vYYyUog0hgMvXFVdcMRxxxBEWwI+YE3h2uvPOO41EPfDAA+aalXgUmNChVXL7a4IKoimqT8uENis3kWPf7bmx8YeQoc3BG5G7eC3CgwkhLmvRduVC2djcY3dOftYcsS7KvSgRrwMhJgi26B7bBG9JECL6TaT24nqCYpwPFvtSFxosrwvixTnMVsiPhyTaSSBHiRAQAkJACAgBISAEhED9CEjTVD8+utqGEGDQD9no0aOHDfrffvttI05EeYfcsOAVLQrmbQgkB5IAOUBY1Izno/psvNFgPf/885YeUkNUdEgZ8p3vfMeCBK600krzmMhZgq/+YCZI3JL6hL4gkBm0Y8TpgBwhuM5lHRfEDw9QuOvF5n///fe3/qFBIg/kCPE4H5TBuSIppC7yIMRdQTyWhx3ojxAQAkJACAgBISAEhEC9CEjTVC88utiWECBo4eGHH26aEkgAxOK5556ztTy0E8KA29lHHnnENDPEo4CIsL4IRw6XXHKJkRBIBOSq6GmIMtBgQbRIj7ZnbIprQXp+rrHCBA4TP4IL+jnyIpA3TAIxuXPxNF4O5708Fi9vueWWRpTwWETa0aNHV2KbQIjOOussW9uEFo21TVdeeaWZ+WFqR1pIosf5OPLII63aYl0cO2ZozjzuirdRWyEgBISAEBACQkAICIHqCChOU3VsdKUNIACJwcwMJw5FgQTwc1LCdTQwkAIIVB6Popi3oWPcjmPGBtlAqAfxY68HkkT9b7zxhpEo3IbjvCFfN+VpfUs5+T7aJlzIellcR6rFNimmI2girtLps7utzcv3/cGDBxsZpL3uUvZfNelvNQT8fle77s9Ftes6LwSEgBAQAkJACHQMBKRp6hj3scP2Ai0MHudY91O2Rqg4qPX1R5io5fEoigDhvY6I6LlAzrbZZhs7VSQV1eqBgKDxYa0Rnv1wSnHsscfmxVbWRHnbuJjvO9HJyR9pPBo7+/m1fJ9rHucjN8vLy/d9j7vSnG6EaY9ECAgBISAEhIAQEAIdDQFpmjraHVV/hIAQqBkCRbJcLFiapiIiOhYCQkAICAEh0DERkCOIjnlf1SshIASEgBAQAo1CgJhwvg6TtZNo4p966inz8NmoAhqZ6PLLLw+PPfZYI1PXTcaaVA9gXvfK/x+xxpU1nwT3bk5pTFsaqh+nPOCM51fWzzZW8ACLk6L5EdbjLuhEzxNPPBGuuOKKOtXnoT3qXGjkASbqeMZtqnz55Zdhn332qTy7Tc2v9EKgqQiINDUVMaUXAkJACAgBIdCBEHjnnXdsTSZdYl0mDmjuuusuiwlHAO5aCYHH3UtoU8v8/e9/X29ePI0S5Bsz7l/+8pdNLb5J6RtqS2MKw9kQ61/nzp0btthii/DKK680JpsRQtavzo9AOlkTuyDyySefhD/84Q91ivjJT35S57ipB/TnN7/5TVOzmUdcnDVxPyRCoCUQ0JqmlkBZdbQaAswIEpMIb3FvvvlmGDJkSKu1pbUqZiaOwLgSISAEhEBDCBCSYd9997VkDOYJ6D19+nTzSkrAbdZI4rUTRzkM/Bkwz5w507QlxMK74447wjLLLBMeeuih0COFhyDQN5osAnDngrbi3nvvtVhxY8aMMe0JwcsZlLO2lEDkn332WfjpT38acMzj2pWPP/44kJ4YdwyYqQOBdBAUnEDh/BAG92effbalZa0p6zoJNo42irh3XPvoo48saDiOd2jndtttZ+eLbS9rC9qiYpshQpBOcBgwYEA4+uijbX2qr80l1h+Cxue73/2ueUr9/PPPAxo+SA1ByFlTS2w+wk7gDIn1rZ7fMqc/4IFnVUjtRhttFPCcisaq2B6uExS9e/fuFuLC87Ot1n5IDFqw/v37G/60lSDqxCgkLAeebOsTiCB15piiuWTtL2uAaSt95/kh6DzfaJeye8Z9wtstDpdwCkWgeNbygo1ECLQoAumfQSIEOiwC6YMV0wxkTC/imD5K89XP9MKOyexjvvI2V6amtGnddddtrmZ0+HLTyxi3iVV/HR4AdbBTILDJJptU+pmc7lT2k1YiJvIQU7y6mAhJTIPg+Prrr8dEBmIyjYr9+vWztCl0QkwTUrafCE/84x//GAcOHBgTyYqJQMTevXvbtUR2YiITMRGXmGLZxTQ4j2nQHJN2K6aBdkyD+JgG1TEN1q183t+JXMVEBmIaJNu7fMKECfGqq66KKS5d/Otf/1ppa9JgRfqx8847xxSbz85vvvnmMWnRYopLZ/kpJxEnqyfF44uJrMQU5y+mIOm2nzyRWtqytpe1pazN9DGFrTDMxo0bF6dMmWJtScSmTnsTgYiJWFhbN9tss/j000/bdwbM6d+pp54ay/LTNvqdiKvhm7yjxmR2F1Msv1IMqTeZK8ZEeGIiX4a5g1at/SkofEykNG699dbxxRdfjMmEMPo57vVJJ53kRdg2f2Y4UYbp7NmzY/Joa/gmT66GD/c0kdGYzDbt3pG3eM84R5+TR1p7/hLp5FRM5Nm2fNt5liRCoCUQkKapRSmqKqsFAj6Thy04s29XX311ePjhh0P6gNsMaPqghPRSrzM7ifvx9CG36pmJ++CDDwKuunHDzSwW14855hibiUyDApslIzExm9DSYPpx8MEH2yzbpEmTLEguW/dk57No2FiPGjXKZtG8HJwJpA+gabuYGWUm7dBDDw0bbrih1UOg2R133NFmRwmsm5ePmUlxVg27/bxN3//+9+eZcfR20Qdm9jBbYZaOPq699tpmivO73/0urLrqqrbP7C5tAwdmcQmwy0xh3jbKkggBIdB5ECBgNgHB08DZtAGYvvEjUDjrUNCaoB1B+4Pm6b333rP3bteuXQ2k3Xff3TQEBCWnLJdHH33U3ndordBAEaKBNOPHjzctDSZ8vIt4HxKbDq+kvKuR7bffPhDfDg0K7zUX8hOjj+/C0KFDw7PPPhteeumlkIiHJaEfHKPVIIYfP96NaHn4diCDBg2yNOwX217WlrI2k5fg5rQZbdnee+9tZo5oroqxATGBRBvDNwkt2YMPPmixCPlWkZ5YhNXygyHY8K4HE7R9aMlyDNHG8cP7LNKrVy/b+p9q7ed7BF5oyvhW0neCx3OOmIB876pJNUzXWGMN01pxnT67hgwvtz/4wQ/CtGnTLBRH8Z55PWg/wQ8t4lZbbRVOOOEEu19+XVsh0BIIiDS1BMqqo6YIpFnBwIAf8w7IEot+IU6YiWBSwEJVVPe85PkhmC3w4edjBkli4SofSl7AmGpg580+H1pMNDCL6Natm73c+QDzUeKDyscEUuOBaL1jHP/85z83Uw9e7phaFMuBlKywwgpmdsGHgQ8lJgonnniiBbjlYw65ysvHJIIPFqTGBdKTtwnzlZ49exrZYZEwRIsPvgvrFWg3bdxll11CmtG0vmKqwuCDjy/9xuwB8xoGN8W2bbzxxjbI8DK1FQJCoOMjwHsQUznMm3mPIJhuQWh4n/BePP/880PSJJn5F+8y3k1FYeIozQJXTuflsR4F07GJEyfaO5eg4byrEczSIGIQEAbvCAP/WbNmGRlKWhybpOI85ADiRugHzLIxu8NM8OKLL66EeGDCCYKHMMEF4SAffSJkA22B6OTibS9rS1mb87yYAEIwzzvvPPv25NfYhyz4eiDi6RG8HRIK+cNMr778jiHtqoYhbYfcUja/4nqyhtpf7Dtt9vvAfplg3lmG6SGHHGL3AjLIhKHjSRleJiS6eM+KdTAhyj1M2jkjXsXrOhYCzYmASFNzoquyFwiBZBJi9t68uM8555zAy9YFQsKH9PHHHzcChecdPpJomfjo+OwkRKcozHhBUPhQsvg0n4mEMGArjhYKWW655ezDyoePFzqLpInnxIf1oIMOqhRNrCXIi8+ilZUDWcG+n7SQJWzsIXP33Xeffez5oBXLh+wUZ9X40PPzNuGNiv7SPgYxDChy0rTKKquYdonG8uEkHcFwWZ/AOgBm/Zih3H///Y2A0g9wzdsGaWNmViIEhEDHRgAyAfFgIgmCwiQTGgY0TLyPXJMPCsOGDQt77bWXrd8hLWtMmBBCeG/zy/f9HNoTyuKdCCli8I52hYkl3k0MikmL1p5JKEgZ3wPOMalEHWjs/d1NHRAlNDWQHya8eM+znog20ja0KqwBQqibdVLXXnutad+TSZgN1snHZJK3k7S+X9YWJueKbfb05EXAhzU8TKrlQjre4y68l5lUw6KBttEWpJjfy+c9zfcCawHWUF1//fX23i62h/c68Q6xHoDokt+lofZ7XUymQZ6ZXOMbx/3IhWfGyTKkBouGIqZ8c7kf3AcIEzgjWHOgbeIZQ8rumbeDZ4+JT77LEC+JEGhxBFrCBlB1CIFaIuB28ZSZPqD2y8tPH0Szw+ZcIldmB59MFyI26Ui+xqdv3751bLy5vtpqq1XOpRmzmEwkYiI2XDJJM3cRu/1EzvxUTMTGbP0TWaqUXywnDUQidt0I5WJ7jy19UYrlJzIY+/TpUydZ3qZElGIif3YdPC666KI6aZMWKlImbUsDiZgIkeFCImzT02LcSvq0+DhecMEFVdtWSdhJdtILuep6Jq5JhEBHQIC1QGkw3GBXkoYppomXOulYl+TS0H4xL2uKckkTVraWKU+XBuTznGMdTF6Xl0F+2pgL6UifC/UW6+Ad6ZKXne+XtaXY5rxcyksao5i0SV50ZcvaJX5FcUy8nGL+vD3kTwSrThHF9nCRc4iXaQdf/Smmz9Pk+ySvr5y8TPbBKseUc8W+cc7vV15X8Z7lfabc/H6yxk5rmkBS0hIISNPU4jRVFS4oAj7rRDnMOmFyhjlHekHbLBXmDsXZyTxPPruHzbjPRHbp0sVmLjFxw8se9tPMLuKZCPtpZvMwu2NGkLowiXMhTT6LxvliOcy+McNKPjRZeKDCZCERNys7Lf41Uw0vH00aGqCyWbW8TbTNZxzRGqUFwd4s22IugQYKkxpmgnskjR325GjKMHNE6+Wzt6xhwmtTGkTVaRvmj5QjEQJCoOMhgGky2ny0F/XJYostNs9l3lcuDe3n717yoPnIBS18UdAcFQXNRJmU5adNxfTFeqkjr6daP/I0Xn+xzmIfsWbADLoofJPKxNvm5RTz522jDEwScym2h2t+zsusL32eJt9vqJy8TPaLmHKu2DfO+TOV11W8Z3mfKdfvZyJQ5pEPzahECLQEAgvBzFqiItUhBGqFAGYj+QuWclHbo973j1qambLqSOdpPV+a0TLi4+3hGBtsfxFzHlJEPicKXOflzjmICeYFRcGkgo+C11NWDnWl2brKx4M0lIfpi39E8/LpB2Qnb5vXm7eJf2PSFT+gpKU9/CjLP560AzMLjr1eMCR//oEqts3r7ixbx6Zaf/X6rIaMzgsBISAEhIAQ6FgIiDR1rPup3ggBIVBDBESaagimihICQkAICAEh0I4R+P9ViO24E2q6EBACQkAICAEhIASEgBAQAkKguRAQaWouZFWuEBACQkAICAEhUAcBzISvueYaO/fmm2/auk3cgtcnKeithZMgBhNePRG87RFiwn+YHLd3wQMg3l9bQ6g3ORGar6oJ80EIkAWRBam/sfXy7BCvkPXJeI51IQ4j5yRCoCEERJoaQkjXhYAQEAJCQAgIgZoh4GsBcfm9zz77BEJG1CfJw2cgqPncuXPDFltsYQNezhHCIXlSs5+XSTkEei26+K6v/LZyjXhLxVhKLdU2cPRYXE2tk5AUuIBfEFmQ+htb77333hueeeYZc82Oe3rWBeNMCqdIEHiJEGgIAZGmhhDS9TaFAM4WiOPhwsvaZ+bwbMesI4EBcXyAELk8uTn15K26JYhsc76YmUHD215Ds7atCoIqFwJCoF0gkFw5W4wg4gQxIIawMLgkIOsdd9xhfcBjKMIM/sknn2z7b731Vh2tA3nJRzwe4usxo//aa6+Zx1MCcfO+Iki5Cx487777bj+0LYQIL594G2WQy7seISD3yJEj7edOgHC0MzbFeyIw7xlnnGEBw3Fog9xwww1WL0HDf/GLX4QddtihovWincRIIgafx5qyTOkPAcYhd9TPt6UsbWPwgvjRZ+Ie4aUUgSxAGukHGCNo1qgLrGknQt7LL7/c3vFo6tDuILQV8ukCkaSfeJU95ZRTLDZfsbwU+sLKIg9Oj1IYD89uW76h4Iy3VzytosUjDe3BwyIYcE/wuEg9+f3zgojvhSdXMCYWIcekpe6y8jwf997vL8+G3wtibPGNqw8X7j3xB3nOSO/jAMqmH3iJxRMs1xgr0IcJEyaYt1ivX1shUC8C6aGRCIF2gwBxjtLHt9Lehx56KCbX3nZMPKKpU6fG5H67EocoveQrMYw8E+daQ9KHJaaXfrNVnQYK8dZbb7Xy0wcqPvfcc81WV2cpOL08Faeps9xs9bMOAsSzS7Py8YMPPogpNEHcdNNNLa4csXZSyISYyE1MkzQxEaCYwiXE5FHUYgalgXRMgVYrZRErLw1YI++/RErsfAqqajGKiDd311131YlXRMy5pCWq5Gdn8uTJMREgq2uzzTaLKSiunaMdaXBvseXyDDfddFNMhMFiBaUAuHHKlCl2OYVqiMlLaBw4cGBMBMTi5Q0YMCC+++67MQVjjUnTYv2ifbkQY4/+pkk6O12WtjF4JeIREzmyerfeemuLJ0j8wGTaFhPxjNSbTMViIk8xER2LndW/f3/rB3n59qUgv3Vi7aUwEpbH20u6FHLDYiSlwLZ2L4rlcQ/79etnuCfyYPH6iGXI/aD89ddfPyaiabEHwYcYfx4LkLL57iZTyUpfkkt1K8PbwBaMwT0FL47J+2tMWp6YiF4kjmJZeV5/IqgxBWe3ooijeOKJJ1r/E2luEJd77rnHYmIlUhYTuYqJQOZNion4xmTWGVNg+Up/SJAmBuyZqpNYB0KgBIF5AyDUS7F0UQi0XQQWXXRRm61LL9yw+uqrlzaUWTtmvZhFY8aMyPPMTDFLedxxx4UURLaSj9lEZqSYGcX1eAr6anGNqqX/7W9/G9Amod2iLURiJ3/66NksbApSW3E1fuGFF4b04bFI7YMHD7ZI9rNmzQrHH3+8uQ4v1kG09/RBCERwJ9YSM4F5mvQRshlMZvww70jkMWCnzcwpMVhcmMW78sorLdo8bUuDjzrl0H9mBLt37x7SwMNiTTHLyo9Zy/Sh9aK0FQJCoAMgwHuIGX1CNhArDiEcAbP2xJNDllxySdPY+///oEGDTAOAZjsFX7V94tLxzuF34403Wj7PO336dAttsPzyy1fO45mSEA6LLLJIJewBF9dcc037VRJ+tZPIlYVnOP3000Ma1Idnn33WNDbU61omz8MxoRPYojlCY0LsuR4pRh3x9xA0X/R54403Dry70WgkgmXXOJ8LmrI99tjDyuK9XkzbWLwoM5EGqzeRkZAIqb1bee8Tl49vAQLe48ePt28P73PCSSB8t0jH79BDD7V7koKVh/PPP9+u+58RI0bYN2jo0KEhBVAPxDHKy0MDQ6w/vhdovk499VRbI0Z+Yh5+73vfszAYhMLg/tA/LDz45qApQnNHuuHDh1tfqI/vXlHQTIF3r169Am3BUoTvIN/TYnkeVmPttdc2rRCaO/Cgf4899ljgmWsIF9KixQQb6iGMhgvtwzQPLSn9ph6eNYkQaAoCIk1NQUtp2zQCfFjGJrMMPmhpdqq0rXz4ID8QB8wi0qyfkSjMS3jBu6kfmTE3oRyIFaQFIUAtpKssPR9ATEKwm+YjxA9TAEwx+HDx42ORZjXNtALTBT785GPQMmPGDDMX2HnnneepA3MSiAvmiGkmcJ52JK1SSDOXZu+/1VZbBQIiEtDWP8K0nTYTCBfyhbkGv7L+cJ2PM20i8C4DID5YYIvph0QICIGOg0DSCAR+ufCeInAoZlSQD7as/8CJA0SEtTeQEUzmeFdAMniXYA7HIJvBNmZfxIFj8gliwkQSJKshSZO7gUkgjynn6Xk/E7g8F+oqEhyu02bKQFZccUVr03nnnWdttZPpD+8/BvS0b4UVVgjLLLOMvfPyOHWeFnKw5ZZbGuHBJLAsbWPw4n3vAmmkr8T8S9oYI0J8C5CJEyfaxNZpp51m5MTz5Fu+E5hH8m72WIR+nb4h9K1r166l5fHtw/EEda622moV0rTUUktV1jZ5nEC+XZBrzADdDNPbTT3ebvbrE+8zpoXF8vJ8EFzIMd9rvls4mYAcN4QL92WbbbYpXSP3ne98p0JWqQvSKhECTUVApKmpiCl9qyOQ2ymz7x8MPsq8MCEXfATLhA8iL24GBRCL4oyaB6glLx8FnyFdbrnlGkxPuUOGDLEPKjNYzMoye4b2hlkvF2a8mG0kWG4yeQmzkoaJjzIfd2Zpy9pEesgQpIcPWTENhNFnbdnm+14vHz7yMdvLr6wu1n/Rj+IMIefzPniZ2goBIdAxEWDtCO8ziMWoUaOMFCWzNHu/devWrTJLj0YK8sQEC++2ZPpkk09o8tEOLbvssrYuh8DZrCNBm+XvbN41/HJBG86EknvY4xppPI+nhVQx6Oc9hjCgdy0S2n1IHN8ENOSsyzryyCPrOIdIpmhGriAJa6yxhhGQYcOGmVYEjQaaeBc0TXw7IILJDLw0bWPwov/eX+872CaTt9C7d2+bEOM8FgVMUqGNYdLO03pe2gVpXXnlle175+30LRgzeQfh4BvGfSmWx7eAdVpoZRCvAw0MpJdvDpqak046yepBGwcObLnfTAbyvYUIoomi/bl4eZzze8c59ml3sbw8PZortGM486APTF5OmzbN2lPsR54PTCCTaMF4LnkG6A/CmAAN3YYbbmjfdr7LTJwm00LTQDGZiWUG664kQqAqAiUmezolBNosAtijp5ddTMTB2pjM3GJyk2r76cNn2+RsIaYPgu2nwX8d22VOYgefXvIxkSuzr+Ycx9hP55I+CGYPzjoh6quWPn1ILRs22dinI5dddllMWifbTy/umLRIEVvzZBoQ04xnTFocu5bITszzVauDxIm0WN+rpfF6SIttetKIsWttT7OgMX3cYvog2Dn6y3qF9GGsHHv/08yl2f1zwW37sYFPs3+WtjP9SS9OrWnqTDdcfa2DQBp42voTP8l7xN93fo71I2nyyg79vcyBn+O97GlYK5MGqpX3N+fLJC/Hy/LyytKXnWPdDD8kmRDaWhdPlzRr1g7ea7lQL+0rk2SmXed0WdqG8Mr7m++DK7/8HGXl5/JrNIT1VazzKcqYr74zxb4VyyMf30m+Ky55HXyb8mP6y7nifaBcJE/LcX4Py/bLysvLKMtDucV+5Hm4jnAPwa4oXqZvi9d1LAQaQkCapqp0UhfaIgLMJDIbhLkH6vb08jNPQbTVzSqwn1588cXN9tpntvK+YMuNmQief9AE+YwaM6O55DOkt912m60TKkuPVgYNUD7jVbbv5zBnwXSO9U+0+YADDqjMPjIrVqyD2TBm0NB2MUtWloZ2e/ns00faxHosTD+YCRw9erSZg9BfTG1Y31Wsq1hOcYaQ6xIhIAQ6BwJFEzlM8/jl4u8Izvk7mH3eRwgmZKwzdRM+3jkueV4/xzYvh2Mvi/3GCtYELlgVoFFwwRIA0z60/blQb96+/BqWB7mUpW0Ir7y/+X4RU+oplpWn5zraI9cSceyy0kormUaFb2AuxfIwqUNjhEmbS15HGTbFc+TzcvO8nM/vYdk+54rl5WWU5cnrYx/J8/zrTKh6D71M33p6bYVAYxFYCFbV2MRKJwTaCgJpdsls1nN79jQDVnmB+r5vi+3G3MxNOdLMlZlxFF++mJtg0oZAQlhzxAe1mJ5/If+oe33+b8V5P+dbbwumD/6BLl4r1gE5xATP01NGMU2xDIgRH6VivzBBBDc/XywHbP2jUm3f+9DRt35fq/XT73O16zovBISAEBACQkAIdAwERJo6xn1UL5oBARaf4vQBgoGTBbwtSToXAiJNnet+q7dCQAgIASEgBKohINJUDRmdFwJCoNMjINLU6R8BAdCOEHBzbUygCSSOswdcXRM8tprgaQ6HC5jIYa6GGXSK5VPHhTbm3K59r1ZOWz+P0wycP7hjhJZsL15pcfNNuIymCp72CEybm1c2tYwFqb+xdeGwAusRnE3w/GCpggk+wZ7TOuGA2aSk/SPwb+2/C+qBEBACQkAICAEhIASS55avVhzgTQ/vcPURJvC6/fbbwy233BJSAFgL2fDKK6/YOcIrsJ6Un5dJ+uS4p44XPs61B8FNPDGfWkPAMAUOnq+qCbOB6/QFkQWpv7H14q2QOFDEinrwwQdtiydIzOohq6wvlrR/BOqu6Gz//VEPhIAQEAJCQAgIgQVEgOCixF1CiBeEpoVjApvuueee5kwHJw8TJkwwt9DEdSO2DjPrhFEo0wxARNAGQVJw8508vZnL6smTJ5uzGtyCo+3Jg3kTm4mYd2+//bbFWUJz5MJg2gOQ49iBoOEEN8XlNEFb0W7gUnyzzTazLHPmzDGtBebWLhAi6sRlOGtdH3jgAXMSQTymkSmWUS6s/xw7dqxhgCtw1nyiPcFJxA033GBB1Vn7SkiH5HXVAouj9aKdBA1nnSku2fOgqskbapg0aZKtPwVDyEUxbWPuBZiCLW7NcbmOYyPIAlvWsdJ2BM0a9wkygstwnAyRl0E9gV8xQ8eZEut4iXnIul7uN1J2/whFkZeHJgvNHUGAcdHO/cnjBXpgdp4nnBPhqpzn63e/+11YZZVVrCw0/MQmhITgnhzX8bmUBWAnViHPE89VsTzPC4nBQQiu88Ga54J7QRtxVU4Mx2q48DwRd5FninAitN3XBaMJ4x7yrIE1dfA8QZYQng2ePVzZS9o5AumFIRECQkAICIESBNLrXS7HS3DRqY6PwLrrrmthCZKXtZgGtDHFlItpAB1xZU3YhjQIjMlsLSaSElNcoJiIQ0wDxpi8klqohjKEcIedYhKZ2/I0qLZ0s2fPNlfWlJcG15ZtrbXWsm0iJjENhmPSGFWO83LTYD6mAWtMA9mYvKraJcIkJKc4FnYhxYmq4yI7edGLKfZPXkRMhC0mMmj9SIPo+PTTT9s5+pgIT0wD6Trpb7rppphiP5lL63HjxsUpU6bY9UQyLFQD7swvv/zymAhSTAFUY4r/E9MgPSYyZJh5GAcvNMUjsvO4EEfK0jbmXoBtInlWbyKFMRFHC4GR1ubGZDpm4SNSTKuYNGoxEScLs5HIlfWDvIksxRQ4PSZNSQRXJBHCSB6XsvtXLI/nI5EKwz0RuJjiPMWknbP7Qfm4nU/EOyYiaPjgFp77gvBspKC38c4776z0JZFvK8PbwBaMwT15ho3JOVJMWp6YzPgshEZZeV4/4TqSJ0crihAbKf6T9T+R5gZxSUHfzW19IsoxEaKYCGTeJHtGk1leTKS40h8SgDVu98tcoNcpQAftAgFpmto56VXzhYAQEAJCQAjMLwJpkGqz7ji8ISgqQogCNBOJONgxM+RoYZhhR1ijgRaCtT4pBpLt//jHP7ZAswSbvfHGGy1d2R8Cl6I5QGOEFiMNok0bQp1osZCddtqpEswbjQcaGjQ2aDSYzXehXR6AHO2OC5oKtABon/J1iWgVci2PpycIL3VTPu0hYCvBW+lT0R04x2hJ2KKl2XvvvUOKYRd69OhR8ciKtgY8CY1BEFewSgTLquN8LgSM3WOPPawstDPFtI29F5RJOAnKT2Qt4FIcLdbxxx9v62xc2wNm48ePN80S5nqYjyHgy3ocfrgy535janb++efbdf9TvH8Eoc3Lw4sr9wyNDNoZtISs8UHQAKJ9IXguP+4P/UMzdemll1qYEO4D6Qj4Tl+oD/fqRSkGYEfDg9YLLU+xPPc6ixYMrRCaO/Cgf4899pg9zw3hQlq0mGBDPaxfcqF9aMXQ1NFv6uE5o2+JyIYUs3Ge58jzatu+EBBpal/3S60VAkJACAgBIVAzBNKsfeCXCwPPNDNu5mcQBMzQIC6Yf0EWWB8DYcCsjcE2g9sUXNvM9xgIMyCuJpiHIZisde3a1cyYMJWCdBCHDknaiYD5G+ZTDHIZfDNoxXyPmHmYfREfiDIgJpAwCFxDkqayLVSFxxby9AzAMQPMhX4UCQ7XwSNpMyzpiiuuaAP/FLDccPD89JGQFrRvhRVWsFhI9JG8RYEcbLnllkZ4MAkkblIxbWPuBUTPBaJIXzEbJE4fRAgShUycODF069bNTNggJ2WCqRqml5BjN0HzdMX7V1YeRAHHE9S52mqrVUgThNfXNvEsQdggzhB31qCdfPLJVo23mwNvt9dfbet9xnFEsbw8DwQXcgxRxXkDXnIhx2X9yPNxXzBnLFsjR8xIJ6vkgbTyP7PXXnuFpD2b5/8rL1f77QsBkab2db/UWiEgBISAEBACzY4AazKGDBlig/9Ro0YZKWItCINHBt2usUEjBXnCWxgz7qzZqU/QZrFongErWiJm7RmgM9PPYJkZfIiYB/NmDQwz9czaDxs2LOAJjXU6aIfyAOSs5aFsH+QziM61TLSJNS3XXXdduOaaaypNJI3n8ZOQKgb9aM0QBvQe14/1QhBEiFoy07OBMWQumf15dvPaB0GCJLDGhv7RdtYK0U/W0LigaSItRLBnz56laRtzL+i/99f7zn1j0M66oWQaZ9eTeWAYO3asaWMgpp7W89IuCDFridBUFaV4/7jnxfLQJuGEw4Pveh1oYCDUHlAeckw9aOPAgS3PElo+CApEkPtO+3Px8jjn945z7JeVl6dHc4V2jPvFM5hM9MK0adPsuSv2I88HJpBJiCbPPM8A/UEgxhBTSD/PcJ8+fexZxCEEzzPlo5GEnEvaNwJyOd6+759aLwSEQDMiwEezPmE2VyIEOioCDOQZiKJ5QtAOMIOeL8zHHMsHl1wr06Y4PgxK0/ocM41afPHF/bQtnufYA3S7FsLNqtyJAcG6Ef7vqJPBaVoTZftoaSA53/zmN60NXlalkq92im30/+GG/tfzchjII+ACeYMEXnTRRXYO7QxmWuCW95F60dZ5nyzxV38wSWOw7VKWtqF7kfc33wdLhPbwQygLjaGfy9NzHbM9nGUUzeKq3b9ieZSBBhCtICQbyevgfvIMeXvoL5hCVvP7QLmcy/NSVn4Py/bLysvLKMtDucV+5Hm4jkCC0CqBXy5epm/za9rvOAjUvesdp1/qiRAQAkJACAgBIbAACBTN2BgoFgeLPvClGidMeELDg1kuybmDxaphRj4nE6TxYy+LOnJy4WTJy/OBNRqctLC/Yh6Y5/GyPI9vvY1+7GX5cWO2TiJJm5wY1PEUiAYO075im6k3b19eT06YOF+WtqF7kfc33y/eL8ovlpWn5zpkybVEHLsQa6js/hXLw6QOjZETJvLndZRhUzxHHi83z8v5/B6W7XOuWF5eRlmevD72kTzPv86EqvfQy/Stp9e2YyEgTVPHup/qjRAQAjVEoKEBlc9S17BKFSUEhIAQEAJCQAi0QQT+pattgw1Tk4SAEBACQkAICAEhIASEgBAQAm0BAZGmtnAX1AYhIASEgBAQAkJACAgBISAE2iwCIk1t9taoYUJACAgBISAEOgYCOCRwr3VvvvmmuQjHtXZ9QnwfvML5j0X4DzzwQCULMY1S8FiLbeRpZs2aVbneHDu4p3bHFE0tH498eP+TCAEh0D4REGlqn/dNrRYCQkAICAEh0K4Q8DWAuPDGJXVZzJu8Q7fffnu4+eabw2effWY/vJbhphqyBHEZmeIB4S3vzDPPNC96pCPIaS4EXi1znZ2naco+brHdI11T8pGW+FZ4ppMIASHQPhGQ97z2ed/UaiEgBISAEBACzYYAgVnPPvtsc5NN7CXIyOuvv25E5cILLww77bRTQGNEDBpiGOEtr0uXLpX2kJ94RH/5y1/Mmxx5XnvtNYtzQ7Dahx9+2OIYEcAWmTNnjgWyxdV1LrgShxy5UM5RRx1lgW+J7UPcI2T77bevxI7ytJClqVOnmivyAw44IDzzzDPh3HPPtctjxoyxGD0TJkwwAkbb6Of6668fin33mFReLltIG/0j+O5GG21kgXeJ+0Pg1E8++cTiDBHbByJHXCnwcw0VQV3POOMM6zMxi8DylltuMaxwVw4+Re9ved3aFwJCoJUQSDM/EiEgBISAEChBIL2WCcRU9VeSRaeEQIdAIAWyje+8805MZCamgKgxxdGJyY10TIP7mIJ0xhQYNaaYRDHFtonXX399TFqjOv3ec889YyIUMZGjePDBB9s1ykmxb2IiPTHFN7J9z5Rcd8cUcNQPbTt58uS43nrrxRTsNl5wwQWVa8nNeExEJqaYOHZu1113jcOHD7d0KYBtJR11HX744THFb7K0Q4cOjYn4xRRQNw4ePNjSpWCr8bnnnouJAFqZnCz2vVJg2hk4cGBMZoJx9OjR8dJLL7VyEyGLKWhunDt3bnz//fcNqxQEN3755ZcxuUWPV1xxRUyEynCkLccff3y89dZbYyJSMZFCy5NIXKQfKQhtHVzyurUvBIRA6yIgTVMrkVVVKwSEgBAQAkKgtRF46KGHAmuLMH276qqrrDkE6MQEbty4cXbMNWIPYRqHRgcNE9cTcQqjRo2ywKR57CIyoQGaPn26BStdfvnlrRz+4Maf+DeUl7v0R5tTptHZbbfdAuuIPN4QQVDffvttO2Y9U/fu3a3sU045JfTr169O4N28Lurce++9QyI3YbnllguUi/Tq1SskMmf79DsRnXn6bhcLfx599NGQyI/1BUxmzpxp67QwB0S7hhkeGiW0XaQjvlEialbK448/HtBK3XfffWZeiGYKSeTQ0tmB/ggBIdDmEBBpanO3RA0SAkJACAgBIdAyCCTNSeCXCwE6CUwKmcqDdf7iF7+woKdJc2JBZXv37h1+9rOf5VlD0jxZUFJM3DbeeGMjMdttt12dNGUHaf44fPHFF5WApp4GcgVpc0kaJyM8q6++upnTYcqGEAg1T+fpaT/lIjvssIOZ9WFGeMMNN9g5CA7XIVisVaK+sr5b4uzPUkstFZImLhCYlrVKkLeJEyeGbt26maniiy++aKm5/t577xkZIugrQvmYGELyXG666Sbf1VYICIE2ioBIUxu9MWqWEBACQkAICIHWQiCZlYVhw4aZJgat0YYbbhi6du0aIC2sQ2K9DsQhmeqZtmTIkCGmKenZs6eRhGWXXTZAsnDUgGc7tFhoexAISq5l4lwyqzMtkHvY4xxECI9zyaSNQ6v7xhtvDE8++WRlnRQaH9L95Cc/CUsssURYaaWVwqRJkyw9f1hvhKYHcpTM38Laa69ta458LRTrjEaMGGFrtyAySLHvrF1y8bazTunAAw8Mq666qpWdTBQDGqSxY8da+9DCkRZN3L777hsgmMn0zs6dcMIJ4ZBDDgl9+/Y1jRQ4eblej7ZCQAi0PQQWwjqw7TVLLRICQkAItD4CxYFdsUV6fRYR0XFHQgBztb///e9GRtL6oArpYd8H+e7cwB0X8D/BtT59+phHO/Zx5gDxgUCh+cnLyvGivlyzlV/z/Txv3g6/XralD7QP0nbccccZkULrhKy77rrhqaeeMi0T5Msl77ufY5u3kb5igke/XNC0YUpIXU4S3dtefo70n376aUhrqgyvvF9elrZCQAi0LQSkaWpb90OtEQJCQAgIASHQJhCAwKC9QZwAFPedLFmi9McnGtDWJIcNZjJ3zDHHVMop5vd8bBsiTMW8eZvycor7OalhLVFyGlFJwnomSI6vmfILed/9HNu8jfQ1L5vrOfHiGCmW/a+zwUz7fL+xffH02goBIdDyCEjT1PKYq0YhIATaCQI+AKzWXGmaqiGj80JACAgBISAEOhYCCm7bse6neiMEhIAQEAJCQAgIASEgBIRAjREQaaoxoCpOCAgBISAEhIAQEAJCQAgIgY6FgEhTx7qf6o0QEAJCQAgIgZoikIK3BkxRL7/88vDYY4+FF154IVx00UUN1oE7cBxFENcJt+O4MG+MEIvptttuC3fccUd4+eWXrW7ypWCw4YknnqhTxIwZM+ocN9cBsaLc6UVT68ADIJhJhIAQaN8IiDS17/un1gsBISAEhIAQaFYEGPDj3Y1gsgRt/eyzzyxGUUOVkge59tprwz777BMOO+ywhrLY9bfeeiucfvrpFgCWOFBbbLGFeambO3duOPfcc+uUgavxMiHILIFlayW//e1vzcPe/JRHHCdwkwgBIdC+ERBpat/3T60XAkJACAgBIVBzBF599dWwxx57WIwj3Gg3JASzPeiggywW0p577mkxidAwzZ49O6BxQsv08MMPz1MM7rjRYBWFeEtouCZPnhwGDRpk22KaaseQpalTp4bRo0cH4jode+yxlaRjxoyxYLbjxo0LJ598srX3mWeesev04eCDD7YYVC+99FIlT76DtumUU04JO++8c5gwYYKRyffff9/iLhGziphLCMQSkjhy5MgA2UNwT37iiScG8LnlllvsHFv6jyZufjVZVpD+CAEh0OwIiDQ1O8SqQAgIASEgBIRA+0Jg//33r5CD9957r8HGn3TSSRbI9fDDDzf34ssss0x44IEHwuqrrx623nrrgNvxTTfddJ5yIE1oceqTzTffvElaIwLYDh061Agf5AYC9MYbbxiRe+SRR8Kiiy4azjnnnECsJgLX0leELUFrzzzzTNOMlbXp1FNPDSuuuKKRsddee80IIbGbIFIE5kUTRp/QlOHOnHogjwjn1l9//XDZZZdZug8++MDMDzExvPLKK0vdlZe1QeeEgBBoHQQUp6l1cFetQkAICAEhIARaHYGHHnrItEDf+MY3wlVXXWXtwayOgLAQHqRXr162re/PkksuGaZPn25xmpZffvk6SYlBtMgii1RiOOUXiWuExqY++fzzz+vENKovLdcIFeB1st17773DddddF5Zbbrmw2267WXb6BKlBID1ffvmlkSs0UAh4lMmjjz5qZIxyt99++zBz5kzTEmEO+Je//MXM8NAooe06/vjjw9JLLx0GDx5sRT3++ONmcnjfffdZO0qTPwAAPXtJREFUfKdPPvnEzv/whz+0dGX16ZwQEAJtBwGRprZzL9QSISAEhIAQEAItisDAgQMDv1wgBJjkQSb41bceh3QQH0zbNt54Y9PiYGrWFIFkVCMpaG3QzLg2qLHlEoT2iy++sORolDbbbLPQpUuXcMMNN9g5CA7XIVjUAalDO4YZYR7AtljfUkstZeu5vv3tbwfWKnXv3j1MnDgxdOvWLZx22mnhxRdftCxcR0MHaUKjhFD+UUcdFfr162fH/Lnpppsq+9oRAkKgbSMg0tS2749aJwSEgBAQAkKgxRGApGy55ZZh2WWXDYsvvriRCwhG/qNRPXv2NHJAOtbzfPOb3wy/+tWvTGuVp2W/TPCI16dPnzqOJTCfe/LJJ8O2225r5A3Sg4nf22+/HdDWYHqHsF4JDZEfYyIIOUI22mgj0/RAjnbdddeAyR6aHTRiCOuHRowYYRo1iAxy9NFHh2HDhplmjXSY7rl4XzDfO/DAA8Oqq65qmqXrr7/e2jR27Fhr88cff2wYjRo1Kuy7776hd+/eZhZI/hNOOMHWPvXt29eIKHh5uV6PtkJACLRdBBZKbkRj222eWiYEhIAQaD0Eqg30vEV6fToS2nZEBFyLhLke2iff0lff53+A/xOID04f2N9ggw3C/fffbwQKrY2nrYYRmp6FF679HC4mhosttpi1/bjjjjMiBQFD1l133fDUU0+ZlglNmQuaNfItscQSfsq2nHcNFH1GOwZBdAEr+gBO/BD6heTnOP7000/Dt771LcOqIWxILxECQqBtIFD7t1Tb6JdaIQSEgBAQAkJACCwAAk4mnAT4liJ93ycW0NLsvvvuZmaH04ecdHjaak1pDsJEXTmp+fDDD8Pw4cMrTWA9E/UW64YY5W33DE6YOKbPedmcc6zYdymW7ecx3XNpCBtPp60QEAKtj4A0Ta1/D9QCISAE2igCPiCs1jxpmqoho/NCQAgIASEgBDoWAnI53rHup3ojBISAEBACQkAICAEhIASEQI0REGmqMaAqTggIASEgBISAEBACQkAICIGOhYBIU8e6n+qNEBACQkAICAEhIASEgBAQAjVGQKSpxoCqOCEgBISAEBACQkAICAEhIAQ6FgIiTR3rfqo3QkAICAEhIASEgBAQAkJACNQYAZGmGgOq4oSAEBACQkAICAEhIASEgBDoWAiINHWs+6neCAEhIASEgBAQAkJACAgBIVBjBESaagyoihMCQkAICAEhIASEgBAQAkKgYyEg0tSx7qd6IwSEgBAQAkJACAgBISAEhECNERBpqjGgKk4ICAEhIASEgBAQAkJACAiBjoWASFPHup/qjRAQAkJACAgBISAEhIAQEAI1RkCkqcaAqjghIASEgBAQAkJACAgBISAEOhYCIk0d636qN0JACAgBISAEhIAQEAJCQAjUGAGRphoDquKEgBAQAkJACAgBISAEhIAQ6FgIiDR1rPup3ggBISAEhIAQEAJCQAgIASFQYwREmmoMqIoTAkJACAgBISAEhIAQEAJCoGMhINLUse6neiMEhIAQEAJCQAgIASEgBIRAjREQaaoxoCpOCAgBISAEhIAQEAJCQAgIgY6FgEhTx7qf6o0QEAJCQAgIASEgBISAEBACNUZApKnGgKo4ISAEhIAQEAJCQAgIASEgBDoWAiJNHet+qjdCQAgIASEgBISAEBACQkAI1BgBkaYaA6rihIAQEAJCQAgIASEgBISAEOhYCIg0daz7qd4IASEgBISAEOg0CMydO7fT9FUdFQJCoHUREGlqXfxVuxAQAkJACAiBVkVgzz33DKeccoq14YEHHgi/+tWvwmOPPRb++c9/Vtr1+eef2/nKibQDYZk2bVqYNWuWnf7jH/9oacjP73//93/z5JX9GTNmVPbZuf/+++34pZdesnz33HNP+Nvf/mbnfv/734e33norvPLKK2GHHXYId955p53nz5dffhl22WWX8MILL4SLLrqoct53Ro4c6bsNbotpH3300fDmm282mE8JhIAQ6DwIiDR1nnutngoBISAEhIAQmAeBd955J5x22ml2/qCDDjLC8stf/jKw73LttdfaMQQF+eSTT8L2228fvvnNb4YHH3wwfPzxx+H2228PN998c/jss8/sF2P07HW2o0aNqnN8xBFH2PGZZ55p5Oj5558PG264YfjHP/4RIFC//vWvQ9++fcOIESPCRx99VMnLta222srqog9Fefnll4unqh4X01Zre7GA8ePHB9pbJhC//fbbr+ySzgkBIdAOEVi4HbZZTRYCQkAICAEhIASaAYGvf/3r4Uc/+lHYdtttw+abb16p4ZZbbgkXXnhhuOaaa8Laa68d3n333fCtb30r7Lzzzqbt8YQbbLBBKGpt/Fpjttttt11Yc801jSihuapPfvGLX4Rx48ZZWz744IOw//77B8gORGbppZeuZKXNEK/FF188QMyWXXbZcPfdd4crr7wyrLjiiuHss8+upJ0wYUIYMmSIkTPS//a3vzWt25NPPmmaN8peZpllLD1kaerUqaYpO/jggwNpfvrTnxrpvOmmmwLtp17wvOqqq8K//ZvmqStAa0cItEME9B/cDm+amiwEhIAQEAJCoDkQQDvy4x//OAwbNizsvffeVsXbb78dllpqKSNIaHcwuxswYEBYffXVTSOUm9tBZCAJEKz5kZ///OfhwAMPDP369Qs9e/asWsSnn35q2q1VVlnF0kBuID8DBw4MJ598cp18ffr0Cdddd13YdNNNA+WjrTr++OPDpEmTwl577WVmfmS44IILTIMGKUTzBDH88MMPw+TJk8NZZ50VBg8eXKds0g0dOtTKwnRwnXXWMdJ05JFHWtrRo0eHNdZYw8iZCFOdW6IDIdAuEZCmqV3eNjVaCAgBISAEhEDtEfjGN74RTj/9dNOS7L777qZFwjQPzc0dd9xh2iXWPUEWfvaznxm5gHicd9551pjddtvNSNfCC1cfXuSmb+znhAJi8uKLL1ZdD+U9RpPDeiYX8tHGrbfeOlx++eV+2rYQrMMPP9z61KNHj8Daqe9973th+eWXtx+J/vznPxs5KprpcY2y0S5BJKdMmcIpk4UWWsjavsgii9gWvNBUQdLWWmutQL2k4bpECAiB9o+ANE3t/x6qB0JACAgBIdDJEXBnDAsKAwQG8oGJXPfu3cP7779vzhnQ0uAYYptttglok/7zP//Tqurfv3/4wQ9+EF577TU7hiBAvL72ta9VbQpmfXPmzLHrEJhVV121krZ3795G2nD48Je//KVyvrjDmivqdcE8D6Hcrl27+mkjXxCm888/Pxx66KF2fskllzQtFQc4k/if//mf0KVLF9MYkbYoYID84Q9/qJTNeivk3//938MXX3xh+5jrgRlOK9BQ5dcsgf4IASHQrhGoPhXUrrulxgsBISAEhIAQ6DwIDB8+3NbPDBo0aIE6DQHAwQOkANM3NEGY4TlBwTSP40ceecTWB6GtwSkEmh8cQVxyySUVb3hoqP7jP/5jnvacc845Zuq38sorB8gOJnOIa24gbnj0Iz8aq1wTRTo86kG8IDounGM9FOuI0IAh5IO4rLDCCoE1R5geduvWLay77rp2fccdd7Rz1ENanDbgNY9j2sIPgdgVy8Z08L333gsbbbSRkS0IHn1n/dRvfvObcOyxx4arr746/Pd//7dhd/3118/TDytcf4SAEGg3CCyUXojl7m3aTRfUUCEgBIRA8yDgg6Zqpev1WQ0ZnW9pBHhW8WQ3ffr0MKiJxAktEh7wyszIeMb55cQF4gQZQUODxmmJJZaYr+7ixjwnVWiy8no4zv8Hr7jiCjuGGLHmiXVELrTxv/7rv8Kiiy5qbeO8t5N9CBOOHfI6OIdWjDrztKRBOI8GD60XJos4yfD2UZ+37e9//3tYbLHFDCdwQbw8yqJd3BuJEBAC7RsBkab2ff/UeiEgBJoRAR8UVauCgZNECLQFBPxZnR/ihNMGBv54fqulEKsJDVQue+yxh5n45ecas4+jh0svvdQcN0C2WJNURvIaU1ZT0rC+iphVbtrXlLxKKwSEQMdCQKSpY91P9UYICIEaIuAD0RoWqaKEQLMjMD/EqdkbpQqEgBAQAu0cATmCaOc3UM0XAkJACAgBIZAjgNYIhw2YlkmEgBAQAkKgNgiINNUGR5UiBISAEBACQqDNIODE6aGHHmozbVJDhIAQEALtGQGRpvZ899R2ISAEhIAQEAJVEIA44SzB3YNXSVZ6mgC3ODDAm9ybb75ZmqaxJ8mP97mLL764koVYSqwVyqXsXH4933/hhRfCRRddlJ8KI0eOtGPckdP2BZEDDjjAHDssSBm1zPvUU08F1nLhje+2226z3+9+97smVYF3P3DL5Yknngg42GhNaQttaM3+q+72g4BIU/u5V2qpEBACQkAICIFGI8DapltvvdU8xDU601cJcbyAd7xqzk5mzpxZcRXeUNm48N5nn33CYYcdVkn67rvvWkDZyom0U3Yuv57vf/bZZ+Gdd97JT1mgXU6497s6F9PB+PHjA7GUGiOQi2rlNCZ/Y9O4K/eG0hNnCrfqb731VjjjjDPMzfshhxwSrrrqqoayVq6TnyC+ueAunvhTrSmt3Qa8KOJuXiIEGkJApKkhhHRdCAgBISAEhEA7Q6BWziA++ugj03B8/PHH5kEObQ6BbMeOHWvxkBjA50L8ph/+8Idh7733Dq+++mrA+xyaH7RMDz/8cJ40oD3ZZZddwpgxY8xFt18kmCyEAEJBIF0ELcvRRx8ddtppJ3OP7mmJJ3XkkUfadT+HZgvX4BAkyBplPffcc2Hq1Klh9OjR4ZZbbjHt24knnmjxoDhGaC/e/Y4//niLU+XlsYVEoqnZeeedrSxII32ECDoRAQtwod30G20dGqu//vWvVhQanV133dXa++mnn1pMpxkzZlgbKL+szLwNvk8AXQb5Z511lsXG8vO4OQdL6scTIqQPckkbuW9z5861pBBhYmWBfX5PcKuOl0BwgkgR2+pHP/qRxakiD33ba6+9wn333WdkOj+urw30DS3iQQcdZD/wqNYGL+f111+3uqiPttB28tO3O+64w5Jx34h/BaZoHYkThmaViQLk3HPPteeHc8TPQngWibuFQOa556eeeqrFOKOvYIaXRuKEgS/HxXtvmdOfs88+O9xwww32TOApEuGZ5rnYfffdw9NPP23nSHfddddZ28COY7CfPXu2XS/e9yLWlkh/2gYC6eZIhIAQEAJCoASB9JbGp7h+wqBdPQOJMMU0ECt5oht/auDAgTENbmMahMc0SI0TJkyISasRU/BbO59cicdTTjklfvnll5VC//SnP8X1118/JkIQ06A3DhgwIKZBZzzqqKPiXXfdZfuemHL33XffmEhPTAQgpsFnpa40QI6JOMVkihb79+9vdVAGbUhmdzENTK1/RxxxREyD6JjiKFmx66yzjm297dtuu22cM2dOTJoMq/vwww+P999/f0zkIiZiFNPgOiYtQ9xggw2svhSoNqYBcnzmmWfit7/97Zg0bd5cq693796RtiWNWEyxsKztadAeEymxdCngruUFm169esWk2Ylp4B0nTpwY77777pjIpJWZiGA88MADrR1rrbWWYZpIaWmZ3oBEDGIKmhvTID9+//vfj0nLFunPeeed50msHNIgYJvWs8VENGMia/HDDz+M4EP/wSuRqJjMNw37k046yfKkWFMxmUza/d18882tDvAjXyKdMRFQS0dbi8d2If3h+Si2gWeRfnJPwSO5uK/aBi8nBSA2LFPw45jMEGOKJRZffvnlmMhzXG+99ey++jPEubXXXjsm0hpTkOHIfUJ4DhJZs37yLHLfuO/cCwRswIPnlvvJ83bPPffEn/zkJ3ZvEtmON998c517n0xdLS9/KD8RrDp1JiIUSQNugwcPtrSkmzJlSkzBkGOKaRbvvffemEwSYwquHMvuezVsKxVrp9UQWLhtUDe1QggIASHQ9hBIb+a21yi1SAiUIODu8ZuqYcJRBFoggrzWZ+q1/fbbm3aDmfmTTz45LLzwwhZElq0L2hXiJyXyYD/iKLGuCq0P+95GTz9ixAgLRrvVVluZaZ0Hjl1yySXNlC4NgE2Lw5osZvDRLBBg9rvf/a55BkwD3rDaaqtVjfuEZgLNERoE9r0dbB9//PGQiIRpTcAMTRptXX311a15ifR4Myvb4cOHhxVXXNE0QqQfNWqUrTH62te+VsmTBvQW7Jdtjx49LAgvbacutGQEv0XzQWws2gEm5Ef7UVZmpfJsh3uAFgUc6J8L5Tz55JOmKUGLgTYLbRuas6WXXjqkQbwl5Rx94Z5zD2gfssYaa9j9Q2NFe8aNG2fnSde3b1/DBy0iGqni8VJLLWVpy9pA8OMhQ4aE5ZdfPiRyY/cODVhZGyiEdVusSQNDhOcBTSMBjZFBgwZVtEW0n6DF3DfwTWTXjukDghaK9m+88camIbWThT88w9wHnlGeCzSpaNzQsqIVo29+7wtZTaNEgGbamAijPZ9o+egD+LugISMdz9XQoUMt2DLll933ath6Wdq2HgL//7ZrvTaoZiEgBISAEBACQmABEWgqYaK6NAtuv4aqZrA3K7kwZyCdZs1t8McgMRcGl77OiPVQkB0GtNUkaRHsUpqVD127djViwYmkmQndunULp512mpm5cY5BKaRiueWWqzh5gGwx8MTMCnOqojDQ3XLLLUOa0Q9Jm2SExdu8zDLLhKS9qgzEyYupH4Ntfm5yVyyTY/ImbYaZJ5Zdz8kh+0y+5NiwtggTOwTilLR1DZaZ1wPxAKOi4FABEgweEFsEEpE0HEaaHG8/x3U/x74LxI4+QqbZd8G0DVKBOSTOKIrHpCtrg+dn63jU1waIF5hwH6ifLYSWZwqCA34Q4WeffbZSdBnmXMTUE7KCiR/PGATKycwf//hHy08d+XOBu/58/R3PfUPi/cIUFNx6JMK84YYbVs3m6as9S2XYVi1MF1oMAZGmFoNaFQkBISAEhIAQaB4EGAxOnz7dZuFrUQODuvw3adIkmxVn8AlxYrB3zDHHmKYomelZlQzm0TJBUpihT2Zfdt7LKbaLtSfJHMrIEm1nXQppkzlYGDt2rGlNIEqcO+6442ytSM+ePU0DAQni/M9//nPTYiSzQCMg1OH1oV1iQAwZIl8yvzOtCxqsE044wdY6MasPQWLt1P77728ka9lllzWyRzkuXibHaDwgQWgPIKpoUdDAQICQPK3vs84FXFjnAolx0oNmLpkRmuaorEwr8KsyXTPl9fg136688sq2/oZ+sw4HTRTasGSqZyQvmaFZ23bbbTfTzkE60IhAAJG8XNaPDRs2zMgxhDWZBBpJJD3nWbv2s5/9zPJz7FLWBseANL5frQ1eDuQDXCE89IFnLZkM2nMHoV5zzTUD64goLy+3uA8x5hkAWzRpaEwhXGgtue/kpw76xf1kPRPrjdCaou2iXm+zt823+Xnf536CHZhBDIvtcYxJz37Zs7TSSiuVYuv1att6CCyEYWDrVa+ahYAQEAJCQAgIgQVFgNnwQclsqVbis/wshPeBHkQIksAgFGGgiaAZyIXB5qKLLlrJl5fh6fwcZlcMWhE/xz5EB60CdXv9tImyXXvl6dkyCGVL27ztlINWwQevHKOxSGt3KmVyHaJHfoR6MQH0su3kV3+K52gLQnlIXm+eNt/HU5u33zKlPzkGxTI9TV5Gvu/XfUsbuC/0wfuEhgbJseS42Ne8/VznGLwwr0OKbSseW6L0p6wNeZvz/WIbvAy2XKPN/nzRD8rm2ULycvJ97wf/DziNoIwcc8ph6Muz4s8W+ekPzzfCs85EhJuf5uVbgvTH6+E43/d77Hnya9X2i1gWj71ObVsXAZGm1sVftQsBISAEhIAQEAJCQAjUGIHk0MHWxjmprXHxKq4TIiDS1AlvurosBISAEBACQkAICAEhIASEQOMR+JcBbuPTK6UQEAJCQAgIASEgBISAEBACQqBTISDS1KlutzorBISAEBACQkAICAEhIASEQFMREGlqKmJKLwSEgBAQAkJACFQQYGH9NddcUzlu6g7ulX3he1PzXnLJJeGFF15oaraq6Q844ABzElA1wXxcqHUbi01IAVxDCkpr7t4ffPDBOpdxppC7z65zUQdCQAg0CQGRpibBpcRCQAgIASEgBIRAEYH6HPHOnDnTXIMX8/gxXsbmV4jZU19MpaaWCwFbkPaU1VfWRtxb10reffddw6DsHkBof/Ob35RWhZe3/fbbr/SaTgoBITAvAiJN82KiM0JACAgBISAEOi0CxLC5/vrrw6677mqxk26//fawww47BOIqIWiVdt9994BWhuCyuGV+7bXX7NrZZ58dbrjhhrDzzjtbHB00SMRcIqbPGWecEZ566imLt0R+YhYhb775prl+pl60TsTwOfPMM+0af4idQ/Das846ywjNZ599ZtqTkSNHhrlz51bSFXfK6qINBM2FtLzyyiuW5dVXXw177LGHxXBCM5PLyy+/bP3hHLF7brrpJguye+ihhwbqJ24V0pQ2gt+MGTOsT8RTog/EVqJNuMh2IcDrscce64eBeFjURwwj0hJbKheCCXvAVu4Z9+Cyyy6rJCnet1NPPTX8+te/trhFEEXILfGk0EzlRBQ32WPGjLE6f/rTn1ZI5YUXXmjPxeTJk62Ou+++22IcEfyWYLHF8iB1PAt77bVXuO+++0pxrDRWO0KgLSKQHmKJEBACQkAICAEhIAQMgTRAjikgakzxg2IKWBsT0YgpIGxMQVDt+nPPPRfTIDteddVVMQ287VwKSGvbgQMHxkQg6qRPRCOmAX9MJCDOnj07psF9nDNnThw8eHAlT4qLE6k3EZGYYgPFrbfeOiaSElPw25hcR8c0cI+JLMSbb745puCh8YorrogffvhhpN7777/fyin+KasrxWSKTz75ZHziiSfiiBEjLEsKehsTeYnPPPNMTDGdYtLOVIqi/tGjR9vxnXfeGVPA3jhhwgTreyIGkXY3tY30Za211orkRzbddNOYyJnhvd566xk2diH9SQFe49tvvx1TYNqY4g7FRLDi+++/H1Mspti/f3/DFNwS2YqJpMQUzNXSgksilzGZ7sVNNtnEiiveNy+TslIQYSs/kcaYCHNMxMmbYO1M2io75rl46KGHrL4UBNbu5cMPP2z3IgWctbY9//zz1gfam5dH/fvss4+VQ31FHCsVakcItFEEFm6LRE5tEgJCQAgIASEgBFoPgUQoLCDo6quvHnbaaScLEEuAULQOBIQ9/PDDTavRo0ePeRqJFomAtUsuuaRpHNBEEUiULUFX0VYQgJVyirLjjjtaUNEBAwaEDz74IDz++OOmxUKzg1aLoKNpUG5aoaWXXjok4lUsonJcVlevXr3CBhtsYO2ifDQsBHClnwjXG5Ltt9/ezNrQUJ188slNbiMBVQk8S9BWcCC4bb9+/azaRDTCSy+9FLp3727HaNjQvnXp0sU0PWA6fvz4kEisaYPQLhWFdiUiaEFp0UhNmzbNkhTvG/eDdiyyyCJWZyIyYdSoUdYmDyhLRvYT0TRtWiKidt/QEvJcEAMpkb6QiGv43ve+F5Zffnn7JQJnmqS8vL59+xrWP/zhD8Ppp58eijhaI/VHCLRhBESa2vDNUdOEgBAQAkJACLQmAgyqXdiHNEGYWPvzyCOPmHmXXy9uSZ8mjI0wYa6FYFp28cUXhx6JbG244YbFLJVjz7vMMsuEbbbZpo4zg6TxCe+9916ANEF8XCAfkDWX+ury8iEwmOTRL365WRrlfOMb36iQOzd9g1jNmjUrjBs3LkyZMiU0pY3eNurF/A5CAmlj7REkhvVPP/rRjzyZEZNhw4YZab322mvDxIkTQ7du3czEEHPBMknaMsOHa45P2X2DyPp9oQ9Jk2hmlMUyk1YuJO1SoH5IIgJ5g2QhmGDmx/QLkldWHgQQIowJ32233VYHRwiWRAi0ZQREmtry3VHbhIAQEAJCQAi0MAIQCn5IcZ+B9gorrBAOPvjggCMBBvAIJAAppuc4mZGFY445Jiy66KKmjUjmdTbIZnCf5ynLC4FgbQ4EgcE55TC4TmZiNihPJmZW5zvvvGNroRiQu6D5KNaVt9P3999//7DllluGZZdd1rRrtMMlmcuFZPJmWh4IIBqpSZMmmWaG9UUQp9VWW61RbfQy2dK2bbfdNpx77rnWp803/7/2zgbex/r841erMTvLYxavPJ02RZJJYUplZpSKVkLz1FZELaQ0hWItjG02IZVXhWoP7EHTatNIEtuSnixtimgkJa1mxfr97/f16nt3n9t9Tof+x3n6XK/X79xP38f3Xb3uT9f3e12dXXzBM1rmFheNlhO61wlRhRCJlt3ZzdG+IDw/iJbALHkM9dmTVr16dRd+We8NgYmnC28Ue9jq1Knj53l5eRYtCzQ8Qlh+fr6x94p9Vxzbtm3rwu7888+3lStXuigO0RPxFPLPBQIr3V7jxo1dlNEnQjDNMZ60TkSgjBI4jGWDZXRsGpYIiIAIiIAIiMAhJsCStSAokud4K/j4xvgwZrleeB6ehSNlkud8KGN4VgqrG9qiXPKca5bl4fXBG4MhIjDGyY9ADDxPeml4XlhfPEuOD28Ty/nS/VIOQ7CxFC08ZzyIi8CDMp80RsokLekZYz6MB2GZNj7T+IV3wljhEOYexkS95Hl6zDxP86A85ZgLxjnGXJPG2HiHMEqKSuaMMAtG+7yHMNZ0e+nrLI6hLR1FoKwRkGgqa29E4xEBERABERABETggAuyhKWp/0wE1psIiIAIikEFAoikDim6JgAiIgAiIgAiIgAiIgAiIQCCgPE2BhI4iIAIiIAIiIAIiIAIiIAIikEFAoikDim6JgAiIgAiIgAiIgAiIgAiIQCAg0RRI6CgCIiACIiACIiACIiACIiACGQQkmjKg6JYIiIAIiIAIiIAIiIAIiIAIBAISTYGEjiIgAiIgAiIgAiIgAiIgAiKQQUCiKQOKbomACIiACIiACIiACIiACIhAICDRFEjoKAIiIAIiIAIiIAIiIAIiIAIZBCSaMqDolgiIgAiIgAiIQNknsGXLlrI/SI1QBESgQhCQaKoQr1GTEAEREAEREIGDI/Ctb33Lxo8f75UfffRR+81vfmNPPPGEffjhh3GD//73v/1+fCM6QbDcc889tnz5cr/9r3/9y8tQn9///ve/ZPH4/E9/+lN8zsnSpUv9+tlnn/V6Dz/8sL377rt+75VXXrGNGzfaCy+8YBdccIE9+OCDfp8/e/futV69esXXOhEBERCBkiQg0VSSdNW2CIiACIiACJRxAq+++qpNnDjRRzlkyBAXLL/4xS+M82D33XefXz/99NN+680337QePXpYXl6e/fnPf7adO3fa7373O1u4cKHt3r3bf7lcLlQvcBwxYkSB6+HDh/v1D37wAxdHa9eutfbt29t///tfQ0AtWbLEWrRoYT179rQdO3bEdXnWtWvX+Lq8n/Tu3bu8T0HjF4EKTeCICj07TU4EREAEREAERKDYBD73uc9Z//797bzzzrPOnTvH9RYtWmTTp0+3BQsWWOvWrW3r1q1Wo0YNu+iiiwp4e9q1a2eDBg2K6x3oyfnnn28nnXSSCyU8V0XZ/Pnz7dZbb7W///3vLtyWLVtmY8aMsTp16tjkyZPtvffes+uuu85atmxpEyZMsJdfftn69etnDRs2dE/a6tWr3Zs2ZcoUq1u37n5dIfqS9erXr++irk+fPrZu3Tr7xz/+4fNPlims7Tlz5tiKFSvsxBNPtOuvv94+85nPOM/HHnvMunTpYtWrVzc8cHj9xo4da82bN99vPLohAiJQugTkaSpd/updBERABERABMoMAZbFDR061Lp162YDBw70cSE2ECIIJLw7LLtr1aqVNWvWzD1CyeV2CBlEFwLrYOz222+3wYMHu7g49thjC23i7bffdu/Wl7/8ZXv99ddtxowZ3ucJJ5xgl112md14442G5+rSSy81vGN40+bNm2dt2rTx8rNmzbJJkyZZp06dbNy4cZn9pOsh4hBLGKKR5YTpMowl3fYjjzxi69evN9hQj6WLLDNctWqV3X///S7qLrnkEmvcuLHdfffdEkyZb0M3RaD0CUg0lf470AhEQAREQAREoEwQ+PznP2/f//737Y477jC8I9u2bTOW5h111FG2ePFi9y6x7wmbPXu23XXXXTZ69GgL9/DCUG/YsGGFzie5bI9zvC7BEDF4fWrVqhVuZR5/9atfFfBwde/e3Ro0aGBVqlRxMYMHClHEfFjah9cJL9M777zj7YV+EIcImizLqpcul1Um3TbiaMOGDXbllVfa9u3bfQxr1qyxCy+80KpVq2YdO3Z0BocddpiPP92HrkVABMoGgY//S1U2xqNRiIAIiIAIiIAIlBIBBAwCiSVyjRo1ctGEZ4QPewJDnHvuue4x+c9//uMjZOkbe3EQBdhnP/tZFyqIl8KMZX2bN2/2x3hrmjZtGhc9/vjjXbThidm1a1d8P33CnqusPUCHH364i67bbrvNRd3jjz9uVatWNcoj5EaOHOlNIQaxTZs2GcvusixdDwGGhwsLSwfTZXiWbhsRCDdEJssc8X4hCtkHhu3Zs8ePsCe4hUwERKBsEtCeprL5XjQqERABERABETjkBN5//30P8EAQBpa+4QliGV4QKCzN4xoxwvK3evXqGUEh8PwQCGLmzJlxNDw8VEceeeR+c/jhD3/oS/3y8/Pd88KSPAxPC8KBH3t7qH/EEUcU8ERRjoh6CK/atWtz6fWoG2zUqFG+vPBLX/qSi5NzzjnHBcsHH3zg9ymHWGP/FOIHMZNlzJFnod4pp5xi11xzjbMIXNJlsto+7rjjfL4s7UMgXXvttb6Ekf5XrlxpCD32inXo0MH3kk2dOtWX7GWNSfdEQARKj8Bh0b/42eFtSm9M6lkEREAEREAEROAQEcCLRAQ8vERp4xOBH0ImGMKJD/19+/YZHieCGByMEcY8KarwZCX74TophubOnevXCB0CKhCCPFi6LmNkSV4YW/DmsByOEOl4sliGSOCLZJ+hvXBM1kveo53QZ7JMUW2zNBBvFUIwGPfCGLmXZhLK6SgCIlD6BD7+N7f0x6IRiIAIiIAIiIAIHGIC7K3B+0PwhLQhWpLChecIJoyP/+QHv99M/GFZHx6opBHwgKVqWFIwcZ0WL8lrIuQ9//zzNmDAAPeA4ZVJWrIs9xljcmyInGA1a9Y0gkwgYIKFcOfhmiOiCm9V2kJboc9wTbmstkP95HgKu5dmEsrpKAIiUPoE5Gkq/XegEYiACIiACIiACIiACIiACJRhAh/728vwIDU0ERABERABERABEUgT2LJlS/qWrkVABESgRAhINJUIVjUqAiIgAiIgAuWDAEEXxo8f74MldDjL6p544gnfsxNmwF4b7icNwXLPPff4HiHus9eIMuHHvqIsS+Z14vnSpUu9GMEZqEsuKPJFYQR92LhxoyeVZQ8Te5GCEWmuV69e4VJHERABEShRAhJNJYpXjYuACIiACIhA2SZA4teJEyf6IIcMGeKChRDdnAcjkh3XJHPFiJjXo0cPy8vL8yAShM8met7ChQtt9+7d/issztSIESNCs34cPny4H8O+orVr13rSXCL4IaCWLFniuZZ69uxpO3bsiOvyrGvXrvG1TkRABESgJAkoEERJ0lXbIiACIiACIlCOCBBNrn///h76unPnzvHIyS80ffp0D43dunVr27p1q4f9vuiiiwp4e9q1a2eDBg2K6x3oCWG4yRGFUAq5kAprY/78+UYSW4JEEP1v2bJlNmbMGKtTp45NnjzZo+ddd911Hr57woQJ9vLLL3uC24YNG7onbfXq1e5NmzJliud2Kqwf3RcBERABCMjTpH8OREAEREAEREAEnADL4oYOHer5jAYOHOj3EBsIEQQS3h2W3bVq1crzNbVv396Sy+0QMoguBNbBGDmbBg8e7CHFiXBXmJFkFu8WuaRef/11mzFjhvd5wgkn2GWXXeaRAPFckUgW7xjetHnz5lmbNm28/KxZs2zSpEnWqVMnGzduXGHd6L4IiIAIxATkaYpR6EQEREAEREAEKjcBwnATahsvT9++fd2LxNK8o446yhYvXuzeJfY9feMb3/DEr88995yHAZ82bZqD69Onj4uuZC6iNNHksr10DihEDElgC9sPFdoilHlyP1P37t2tQYMGXo+9UXigMObTokUL9zr169fP58Z9+qlbt66LwzvvvJNbMhEQAREokoA8TUXi0UMREAEREAERqDwEyD2EQGKJXKNGjWzbtm0enIEEuCRzJccS3iSS2mItW7a03r1724YNG/yaBLkIlSpVqvh11p8aNWrY5s2b/RECp2nTpnGx448/3oUNAR927doV30+fsOeKftNGfibE0G233eai7vHHH7eqVasa5YcNG2YjR470KswL27Rpk9WvX9/P9UcEREAEiiIgT1NRdPRMBERABERABCoRgffff98DPBCEgaVveIKaNWsWCxQ8QFwjRlj+Vq9ePQ8KgeeHQBAzZ86Mo+HhocpK1koiXZb65efn2/bt240leRhJdBFt/IjoR308ViGJbHgNRNRDeNWuXTuul0zAO2rUKPcgkZi2Vq1ads4557iA+uCDD/w+lRBr7J/CozZ79uzQtI4iIAIiUCgBJbctFI0eiIAIiIAIiEDFJ4AXiUAKeInShmhKL6FDOOHR2bdvn3ucqlevnq5WrGvCmCdFFZ6spEDiOimG5s6d69cInRNPPNEIQR4sXZcxvvfeexbGtmfPHi9arVo1D5GOJ4tliAS+SPYZ2tNRBERABNIE5GlKE9G1CIiACIiACFQiAhdeeKHh/bnxxhv3mzWiJSlcKIBgwvACBVHiN1J/yLmEByppl1xyiS/x415SMHGdFi/JayLkPf/8875/Cg9Yhw4dqBJbsiw3GWNybIilYDVr1jSCTLCMUCYCIiACxSUgT1NxSamcCIiACIiACIiACIiACIhApSSgQBCV8rVr0iIgAiIgAiIgAiIgAiIgAsUlINFUXFIqJwIiIAIiIAIiUKYIbNmypUyNR4MRARGouAQOvzmyijs9zUwEREAEREAERKAoAkSqe+aZZzx3ETmYOH/rrbc871HYz0TQhoceesiaN28eN4VgYd8SiWabNGnikeiWLl1qL774ov+OO+64/fYpUZlkuES2C0Yd9hgR0W7VqlUejpyofIQtJ1IeYyFE+JAhQywvL88IS47t3bvXzj77bM8nRd4oAlkQ2Y8gD4RAJxjEF7/4xdCNkaR3/fr1Hko93Hzqqac8YS8BIQhVHsbAHEiay7ywJ5980qMC0j+JfjHCrv/2t7/1uWTlpSJaH2NhPxbtEe0PjiTbbdy4sbfBmELACgJuEJWQH1H/iBCIkQvrj3/8o3NgPLwTgmHAjZDpzJt9Wli4n3wH7AWDK5EK2edV1F6uNWvWeL/0wdhpByMMPe/6qquusq5du9oXvvAFv68/IlCZCMjTVJnetuYqAiIgAiIgAikCr776qk2cONHvIkzeffddz2vEeTDCf3PNBz/25ptvemhyRASR93bu3OkhxxcuXGi7d+/2HyIgy0aMGFHg9vDhw/2aEOYvvPCCrV271tq3b2+EPX/44YdtyZIlnqC2Z8+etmPHjrguz/iAR5wgMBB/Gzdu9MS25Hgi9PiCBQvi8gS6+M53vuNii5uIjnHjxnld8jhhjAGRwRzggFHmgQcecAH22muv+T3+EH2PPkLOp/jBRyeMhTKBByKPsOyEQP/LX/7ipX7/+9/bsmXL/Pziiy82+DGf7373uy76CNBx0003uVDiGWUw2uGaPq6++mofR/J+6JN3EOb0t7/9zYNw/PKXv/Q2sv78+Mc/dqFKu7fccou/Z/Jb3XvvvR6tkNxdiDyZCFRGAoqeVxnfuuYsAiIgAiIgAhkE8Lj079/fzjvvPOvcuXNcYtGiRTZ9+nQXIa1bt7atW7e62CDfUq9eveJy7dq1s0GDBsXXB3pC7iQS6yKU8JoUZSTZvfXWW/crgheHMeB9wWvTr18/e+eddzxZLoIFscX8EGinnnqqET2QX7AePXr4GLhGICCu8DQl7aWXXnLPTZs2bZK39zsPYwkPEDGXX365jR492kOfh/v0gXfnZz/7md/69re/7R48xAqeJqIDMo8uXbrEwhXWeH748a7++te/et2sdxDmNHjwYDv55JNdAGWFmA/j4YhAQmQS3n3KlCk2cODA5GOdi0ClIyBPU6V75ZqwCIiACIiACGQTwLsydOhQTwIbPpJZQsaSNAQSgoNlb61atfKlcHiEWG4XDCGD6EJgHYyR6JYPez7UWbJXmLEkEO8W4cfThqcKr9j111/vS/d4juhDOBDynDFiAwYMcC8Zog8RFOyGG27wOTBX7rM8kHrdunWzxYsXe7GxY8e6ByfUKeyIdwceSa9dy5YtfW4s7QvGmE8//fRw6UeWGFI2GU4dwZMca6iAaApewKLeAR45lkay7PGTjETHLMHEy3jaaad9UnE9F4EKT0Cepgr/ijVBERABERABESgeAfa7sKQML0/fvn3di8RHM3taEAx8dLPviT1Es2fPdi8I4mPatGneQZ8+fVx0Ze3xCSNILtvjPCkKOnXqZOvWrXNhFspnHcn/lPRwJcu0aNHCl5YhWK644grjyDI9RB97gFasWOFL5tg3hCeKvTvMB+GCjR8/3kVb1apV/R7t3X///e75QTww3qOPPtr3NOGJYnljfn5+cgjxOV65OXPm7JfrCsZ4u/AeYfBCpCSNPV0sUUwa+6jYl4SQSxp7pRCQLJv8pHdA2bAHKtlG+pz9X1OnTrW2bdu6aEw/17UIVDYC8jRVtjeu+YqACIiACIhAIQQQBAgklsixPIv9OgQA6Nixo3344Ye+JwZPBh/vGJ6Q3r17e+AFrlnyhfDig78wQ3ht3rzZHxN4oWnTpnFRgjwgKBAy7EsqzNiDRL9ZhtghqAPeF/ZAsZQQcYO3jDl8/etf9/1AYW8O4oUAEgRKwFiiyBxIkNskCrxAfYxrntE+P7xieGwQVEkh6IU/+kMd2kom1+XRMcccY927d4+9XmeccUa8n4nnb7zxhhFIg/1VeNQwlhguX77cWH6XNAQUQTrOPPNMv13UO2AJH8sAkwEykm0lzxF8LBdE2CWFbbKMzkWgMhGQp6kyvW3NVQREQAREQASKIIC3g2VseDjwXCAGEBRBoLA0j2s8NAQYIMod3g08PwQnmDlzpu8Bogs8VEceeeR+vRHcAK8P3hmECuID42Oej3N+BHWgPh6Y9Ac7QgXhRTS6tCFmiBTHHAiGMGHCBA9qwR6hEESBpX8ET2DcBLGgj4YNG3pkQEQRz/DmsB9pxowZHpQCYYXIQtCxr4gfxtLFMWPG7OdJ4hljWb16tbFPC/ve977n5ZgnxvLBefPmucA85ZRTfF8VgghBRZlf//rX9pOf/MSDXTA+ovmxh4t5M87AmsARLIfE+5W8Tx8w5B6BJWDGmBB5hVl4B+FYWDndF4HKSOCw6D+Iuco4cc1ZBERABERABETA3IuEeMgKDMAnAr+kcEE44UHZt2+fe5wQGAdjLBNLiiq8QMl+uA4Cg/bnzp3r1ywdRPhccMEF3i0eKZYIskeIcaUt3S7PwxwQh8wv7QlKt8FeLyIFJseTbCddvrDr8MkV2uE6nFOH6z179uwXFpz+D0WY7ySr5Dljg9mll17q0fySIeN5JhOBykBAnqbK8JY1RxEQAREQAREohACR4/D+EJI7bXzQJz/qeR6ECR6aogQTy/rwQCWNgArnnnuu30oKJm4kBVP6mlxHLFVDHOEB69Chg7fBH8QMS/wIwR08YvHD6CTdLs/CHPDCFMcKEyyhnRAuPdkWXqm0uEizzLpmOV/aCus/Xa6415/0bmgnzY0lgCxxZPmmTAQqIwF5mirjW9ecRUAEREAEREAEREAEREAEik1AgSCKjUoFRUAEREAEREAEREAEREAEKiMBiabK+NY1ZxEQAREQAREQAREQAREQgWITkGgqNioVFAEREAEREIHKQYAEtwQk+LRGZDci4dHep7EwnpUrV9o///nPT9PUQdUlYMRVV111UHU/qRLh07NYk/+JAB2lYUVxLmy8pTFO9SkCh5KARNOhpK2+REAEREAERKAcECDwAtHxPq09+eSTHjiARLifxsJ4QvS54ra1bNmyOKR5cetklYPFM888k/XoU98jSl2WHehcs9o4kHtTpkyJE/wW1XcY7/8X2wMZo8qKQGkSkGgqTfrqWwREQAREQATKMAE8IOPHj/e8Sj/60Y88OSxeF3IM9enTx71IK1assAceeMAGDhxoP/3pT+PZkPPp5ptvtkcffdTmzJljW7ZssSFDhniEu8WLF3u5yZMne76hESNGxPU4+cMf/mC9evWykSNHGu0EI1ktocpJrnvDDTd4/4sWLfLHHPGCMC6i2TF2+kew3XLLLaEJD5190003+TiIGIgIQJTdddddPj7GSCJZjNxT5JS644474vrhZO3atR6Ce9iwYd4GbQahOXbsWA8fnuYydepUT2hLuPQFCxZ4U3jOiFTHvEaNGuX5mvAwMUfCq2PkxSLJLIzXr1/v94rTnxeM/tBX37597fLLL/eEv9xPMl6zZo3dfffd/l7hGDjTB/muMOby9NNPu6cPD2KSLfmw3n77bS/385//3NatW+fn+iMCFYpA9H8TZCIgAiIgAiIgAiIQEzjzzDNzkXDIReIoFwmeXJSjJxd9cOeixKi5SEDkZs2alYs+8nNRMlav85WvfMWPO3fujNvgJMqdlIuSuuYiMZHr2LFj7rnnnvN6UTLX3ObNm3P0EyVmzUUf3HG9KIlr7qSTTspt27YtFwkTLx/GE33E5yLB5W1GyV9zUf4iHwNleTZo0KBclIQ2d/bZZ+eiD/dcFPI8F4m+3N69e+P2IxGWi7xGfh0lvc099thjuchrkmMOtDNp0iQf0xtvvJE7+eSTc5FoyEWCKnf66afHbXASJbz1OURJcv1++/btc5FQ8/M2bdr4nNNcmAdtMcZWrVrltm7dmgtzu+aaa3KRMPU2IhHjY+Ie4zj11FOd0UsvveT16KQ4/flgoj9PPfVULhKHuXvvvTcXCZxcFuMoAW5u6dKl/q4D54kTJ+YiMeXNfPWrX/V/JsJ4k2yjpLu5O++8s0A5v9AfEahABORpqlASWJMRAREQAREQgeITiASDe3TwYGQZe1suvvhi94T06NHDoo9vq127tns+li9f7ufUI9dT165dLRJFBZohlxO5jEiMiieFpLTkHDrrrLPs2Wef9bKRcLEaNWrE9bhPHqZ69epZ69atM5O6rlq1yh588EG79tprPU9TJFy8/je/+U1PDBsJEtu+fbuF/jkGq1Kliq1evdquvPJKz/0UPCRf+9rX4j6pi0cnEgqeiyor/xMeKfJOpXNRhX44ZnGBJ7mYTjvtNNuwYUNcHG8P+7/IHdW2bdv4Pl4beMCIfFQkISbZbZZl9Uc55hiJIk8AzHkWY7xdtJ3Mz8T88N5FYs0aNWpUIBlxkm3//v3dE/Xiiy9akyZNCpTLGqfuiUB5JPDxf0XK4+g1ZhEQAREQAREQgYMmEHkNjF9hRjJTAhLUrFnTXnnlFf9w5sM48qAYQiXyPHlVlqNFXiY744wz4uVjyTYRKpF3xZev8bFNW3xoZ1mtWrW8LZ5FHqL9kutyv27duhZ5YVyEcY0lxQtJY6P/we2CLbm8j3Lss0Is3nfffTZu3DhuFbBQlzm/9tpr/gwRlbbu3btbly5dDKEWedxcCCFIGP9bb73lxbO4RN4sFxWbNm2y+vXrx82GeR999NEFAkOEd0BBlv+xbA/hifAqTn8IVgQTS+tY5rdkyRIfI+8LC4wRt2lWJOflvc2cOdOXB3qFj/4kyzdo0MAF17Rp0/Yrl6yjcxEozwQkmsrz29PYRUAEREAERKAECCAc+LHnZ/Dgwe7h2LVrl3sToiV3vncJrwdeiGh5nXt8+NiPlowVGE1oh5t4hTp37uyCp2HDhhYtwfM+KJO0aGmbXyJG8KggbkI74ThmzBhjL1GLFi1coMyfPz8uQ+VQrmXLlt5v1apVfW8Wz/Lz830PE54i9jLh1Qnlk3UZH4ZnqHr16i5S/MZHf6iPcGCP17HHHutigTEfc8wxXpaxIwzTXBB71EMMNW/ePO579OjRvmeJtqLliy7EGBfeNrxMtM1eK4QYxh6n4vRHX4zpiiuucJ6wz2KMVy1aSmm85yQP9kKxZwlBhIVnabYDBgzwPWi33367l9MfEahoBA5jqWFFm5TmIwIiIAIiIAIicPAE8E7wsY3xmYB3Iy8vz6979uxpBHBo1qyZe3tY1tatWzcvg7hIG4EWwpIvPCW0jYjBkv2k6yE68KZQN5RLtkV5PC0ICj7kk8+S5wQtwPB2BaM97rMUjrpYsk7ynIAS1apVK/A8tEP/eKSCpcsGz1DgwrJEgmAwJ7xFWJhbOKeN8Cw9DrgFlpT/pP4oEwyetJtsM8mYcniVmCuW7Cc9xvDPRpLtQw89ZI888kiBYCDekP6IQAUhINFUQV6kpiECIiACIiACh4IA+5xYroWgady4sXs+kh/Yh2IM5bWPq6++2gjtHYRJeZ1H1rijABrGksXgocsqo3siUJ4JSDSV57ensYuACIiACIiACIiACIiACJQ4AUXPK3HE6kAEREAEREAEREAEREAERKA8E5BoKs9vT2MXAREQAREQAREQAREQAREocQISTSWOWB2IgAiIgAiIgAiIgAiIgAiUZwISTeX57WnsIiACIiACIiACIiACIiACJU5AoqnEEasDERABERABERABERABERCB8kxAoqk8vz2NXQREQAREQAREQAREQAREoMQJSDSVOGJ1IAIiIAIiIAIiIAIiIAIiUJ4JSDSV57ensYuACIiACIiACIiACIiACJQ4AYmmEkesDkRABERABERABERABERABMozAYmm8vz2NHYREAEREAEREAEREAEREIESJ/B/g9n7vnjp1QEAAAAASUVORK5CYII="
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5cc3fafa-8580-46cb-916a-44db02de0b81",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T06:47:22.000Z",
            "modified": "2019-04-27T06:47:22.000Z",
            "pattern": "[file:hashes.SHA256 = '75917cc1bd9ecd7ef57b7ef428107778b19f46e8c38c00f1c70efc118cb8aab5']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-04-27T06:47:22Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha256\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5cc3fafb-5408-433e-8b31-408b02de0b81",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T06:47:23.000Z",
            "modified": "2019-04-27T06:47:23.000Z",
            "pattern": "[file:hashes.SHA256 = 'f86d05c1d7853c06fc5561f8df19b53506b724a83bb29c69b39f004a0f7f82d8']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-04-27T06:47:23Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha256\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\"",
                "misp-galaxy:malpedia=\"Ghost RAT\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5cc3fafb-c8c0-42e6-bc0b-44a502de0b81",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T06:47:23.000Z",
            "modified": "2019-04-27T06:47:23.000Z",
            "pattern": "[file:hashes.SHA256 = 'd50a0980da6297b8e4cec5db0a8773635cee74ac6f5c1ff18197dfba549f6712']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-04-27T06:47:23Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha256\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5cc3fafb-7a28-4088-8973-4cc602de0b81",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T06:47:41.000Z",
            "modified": "2019-04-27T06:47:41.000Z",
            "description": "Malicious Word Macro Document",
            "pattern": "[file:hashes.SHA256 = '4b3416fb6d1ed1f762772b4dd4f4f652e63ba41f7809b25c5fa0ee9010f7dae7']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-04-27T06:47:41Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha256\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5cc3fafb-5174-4cf6-b028-4e1202de0b81",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T06:47:23.000Z",
            "modified": "2019-04-27T06:47:23.000Z",
            "pattern": "[file:hashes.SHA256 = '33ce9bcaeb0733a77ff0d85263ce03502ac20873bf58a118d1810861caced254']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-04-27T06:47:23Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha256\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5cc3fafb-7744-4075-838a-49c702de0b81",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T06:47:23.000Z",
            "modified": "2019-04-27T06:47:23.000Z",
            "pattern": "[file:hashes.SHA256 = 'bd6efb16527b025a5fd256bb357a91b4ff92aff599105252e50b87f1335db9e1']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-04-27T06:47:23Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha256\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "x-misp-object",
            "spec_version": "2.1",
            "id": "x-misp-object--5cc4069c-ed84-47b2-8f41-43b0950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:37:00.000Z",
            "modified": "2019-04-27T07:37:00.000Z",
            "labels": [
                "misp:name=\"script\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
                {
                    "type": "text",
                    "object_relation": "script",
                    "value": "import base64\r\n\r\nwith open(\u00e2\u20ac\u02dccowboy\u00e2\u20ac\u2122, \u00e2\u20ac\u02dcr\u00e2\u20ac\u2122) as file_in, open(\u00e2\u20ac\u02dccowboy_clear.bin\u00e2\u20ac\u2122, \u00e2\u20ac\u02dcwb\u00e2\u20ac\u2122) as file_out:\r\n\r\n    EncStr = file_in.read()\r\n\r\n    BlkSz = 10\r\n\r\n    len_EncStr = len(EncStr)\r\n\r\n    NonBlk10_ptr = len_EncStr \u00e2\u20ac\u201c (BlkSz -1) * (len_EncStr // BlkSz)\r\n\r\n    NonBlk10 = EncStr [:NonBlk10_ptr]\r\n\r\n    result = \u00e2\u20ac\u009d\r\n\r\n    EncStr = EncStr [NonBlk10_ptr::]\r\n\r\n    #print EncStr\r\n\r\n    x = range (-1,BlkSz-1)\r\n\r\n    Blksize1 = len_EncStr // BlkSz\r\n\r\n    for n in x:\r\n\r\n        loop_buff1_ptr = n * (len_EncStr // BlkSz)\r\n\r\n        loop_buff1 = EncStr [loop_buff1_ptr:loop_buff1_ptr+Blksize1]\r\n\r\n        #print loop_buff1\r\n\r\n        result = loop_buff1 + result\r\n\r\n    result = result + NonBlk10\r\n\r\n    clear = base64.b64decode(result)[::-1]\r\n\r\n    print clear\r\n\r\nfile_out.write(clear)",
                    "category": "Other",
                    "uuid": "5cc4069d-e05c-4b0b-a27b-42ee950d210f"
                },
                {
                    "type": "text",
                    "object_relation": "language",
                    "value": "Python",
                    "category": "Other",
                    "uuid": "5cc4069d-8094-4565-8c48-4b4c950d210f"
                },
                {
                    "type": "text",
                    "object_relation": "comment",
                    "value": "Python Script for Decoding Cowboy",
                    "category": "Other",
                    "uuid": "5cc4069d-95dc-4ca0-ab95-4114950d210f"
                },
                {
                    "type": "text",
                    "object_relation": "state",
                    "value": "Trusted",
                    "category": "Other",
                    "uuid": "5cc4069d-0010-4538-93dc-4a8d950d210f"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "script"
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--c5a73ecb-7963-487b-9c12-4b0e86a495ae",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:43:16.000Z",
            "modified": "2019-04-27T07:43:16.000Z",
            "pattern": "[file:hashes.MD5 = '03dbc1b3d79a4ff70f06fd6e67e00985' AND file:hashes.SHA1 = 'dbfdf474c76428f02fc4fbe408a8fe81a9402421' AND file:hashes.SHA256 = '75917cc1bd9ecd7ef57b7ef428107778b19f46e8c38c00f1c70efc118cb8aab5']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-04-27T07:43:16Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "x-misp-object",
            "spec_version": "2.1",
            "id": "x-misp-object--ec43ff24-211c-430f-84ab-5f57fa153d60",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:43:17.000Z",
            "modified": "2019-04-27T07:43:17.000Z",
            "labels": [
                "misp:name=\"virustotal-report\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
                {
                    "type": "datetime",
                    "object_relation": "last-submission",
                    "value": "2019-04-27T00:43:44",
                    "category": "Other",
                    "uuid": "1ef7752b-f188-42f5-8df8-5eb52e7c1a3e"
                },
                {
                    "type": "link",
                    "object_relation": "permalink",
                    "value": "https://www.virustotal.com/file/75917cc1bd9ecd7ef57b7ef428107778b19f46e8c38c00f1c70efc118cb8aab5/analysis/1556325824/",
                    "category": "Payload delivery",
                    "uuid": "8e8a2ce7-e747-4d32-9183-77f4d3439518"
                },
                {
                    "type": "text",
                    "object_relation": "detection-ratio",
                    "value": "24/63",
                    "category": "Payload delivery",
                    "uuid": "10278f12-9615-4779-8ec1-d851b3124373"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "virustotal-report"
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--e04af19f-c666-456b-95c9-b1b19d401d5d",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:43:17.000Z",
            "modified": "2019-04-27T07:43:17.000Z",
            "pattern": "[file:hashes.MD5 = '57ef27823865c8f7784b0d37fd2c4aa8' AND file:hashes.SHA1 = 'd953005a70bf9d6282a9792c2598218657f31e25' AND file:hashes.SHA256 = 'bd6efb16527b025a5fd256bb357a91b4ff92aff599105252e50b87f1335db9e1']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-04-27T07:43:17Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "x-misp-object",
            "spec_version": "2.1",
            "id": "x-misp-object--af318753-2c6d-41cc-a37b-f9db1cec6b7a",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:43:17.000Z",
            "modified": "2019-04-27T07:43:17.000Z",
            "labels": [
                "misp:name=\"virustotal-report\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
                {
                    "type": "datetime",
                    "object_relation": "last-submission",
                    "value": "2019-04-24T20:00:44",
                    "category": "Other",
                    "uuid": "52406c92-c58c-45e1-a839-40a456d351a1"
                },
                {
                    "type": "link",
                    "object_relation": "permalink",
                    "value": "https://www.virustotal.com/file/bd6efb16527b025a5fd256bb357a91b4ff92aff599105252e50b87f1335db9e1/analysis/1556136044/",
                    "category": "Payload delivery",
                    "uuid": "cd77c1bb-6b7e-41c2-a379-e94a091812aa"
                },
                {
                    "type": "text",
                    "object_relation": "detection-ratio",
                    "value": "3/71",
                    "category": "Payload delivery",
                    "uuid": "34e8e79b-d608-4c84-91bd-d00813a4e0f8"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "virustotal-report"
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--1ca9e3cc-11cf-4417-ae89-12d0db9e9240",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:43:17.000Z",
            "modified": "2019-04-27T07:43:17.000Z",
            "pattern": "[file:hashes.MD5 = '6590830061f85c0acc5259013555d079' AND file:hashes.SHA1 = 'b014e1b20499fcbab4c8e7af351ce08ac7f7832e' AND file:hashes.SHA256 = '4b3416fb6d1ed1f762772b4dd4f4f652e63ba41f7809b25c5fa0ee9010f7dae7']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-04-27T07:43:17Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "x-misp-object",
            "spec_version": "2.1",
            "id": "x-misp-object--210c73d6-356a-4be2-ba0a-cbf5b9ed607e",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:43:17.000Z",
            "modified": "2019-04-27T07:43:17.000Z",
            "labels": [
                "misp:name=\"virustotal-report\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
                {
                    "type": "datetime",
                    "object_relation": "last-submission",
                    "value": "2019-04-26T09:23:39",
                    "category": "Other",
                    "comment": "Malicious Word Macro Document",
                    "uuid": "9ed264d6-a346-4239-b5af-573ec35466d9"
                },
                {
                    "type": "link",
                    "object_relation": "permalink",
                    "value": "https://www.virustotal.com/file/4b3416fb6d1ed1f762772b4dd4f4f652e63ba41f7809b25c5fa0ee9010f7dae7/analysis/1556270619/",
                    "category": "Payload delivery",
                    "comment": "Malicious Word Macro Document",
                    "uuid": "b7329de0-871d-4813-84a6-ca73093ef4a7"
                },
                {
                    "type": "text",
                    "object_relation": "detection-ratio",
                    "value": "5/71",
                    "category": "Payload delivery",
                    "comment": "Malicious Word Macro Document",
                    "uuid": "a5f82c6b-902f-4b62-8bb2-a4b00f39e40b"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "virustotal-report"
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--41e3fdee-552a-4961-8183-635188ef931d",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:43:17.000Z",
            "modified": "2019-04-27T07:43:17.000Z",
            "pattern": "[file:hashes.MD5 = '61f42c2dc1da18b046c6b274abe6f4ca' AND file:hashes.SHA1 = 'da188539e0dddae87245bcbc6e30eeb8ea607657' AND file:hashes.SHA256 = 'd50a0980da6297b8e4cec5db0a8773635cee74ac6f5c1ff18197dfba549f6712']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-04-27T07:43:17Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "x-misp-object",
            "spec_version": "2.1",
            "id": "x-misp-object--5620ac27-0a6e-466a-90ff-6e97ab1e498d",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-04-27T07:43:17.000Z",
            "modified": "2019-04-27T07:43:17.000Z",
            "labels": [
                "misp:name=\"virustotal-report\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
                {
                    "type": "datetime",
                    "object_relation": "last-submission",
                    "value": "2018-12-31T07:08:17",
                    "category": "Other",
                    "uuid": "74fc5c3e-b17b-4d9e-88a5-f222d2fd231e"
                },
                {
                    "type": "link",
                    "object_relation": "permalink",
                    "value": "https://www.virustotal.com/file/d50a0980da6297b8e4cec5db0a8773635cee74ac6f5c1ff18197dfba549f6712/analysis/1546240097/",
                    "category": "Payload delivery",
                    "uuid": "4afc8fc9-8686-4923-8dba-43f8fcc94109"
                },
                {
                    "type": "text",
                    "object_relation": "detection-ratio",
                    "value": "11/68",
                    "category": "Payload delivery",
                    "uuid": "67182b20-bb11-4fa0-b212-31ac0634bc3a"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "virustotal-report"
        },
        {
            "type": "relationship",
            "spec_version": "2.1",
            "id": "relationship--a2978e53-4dce-47ff-9a2f-096807695563",
            "created": "2019-04-27T07:43:18.000Z",
            "modified": "2019-04-27T07:43:18.000Z",
            "relationship_type": "analysed-with",
            "source_ref": "indicator--c5a73ecb-7963-487b-9c12-4b0e86a495ae",
            "target_ref": "x-misp-object--ec43ff24-211c-430f-84ab-5f57fa153d60"
        },
        {
            "type": "relationship",
            "spec_version": "2.1",
            "id": "relationship--494a1d44-509c-456c-89de-4622b6e0e30c",
            "created": "2019-04-27T07:43:18.000Z",
            "modified": "2019-04-27T07:43:18.000Z",
            "relationship_type": "analysed-with",
            "source_ref": "indicator--e04af19f-c666-456b-95c9-b1b19d401d5d",
            "target_ref": "x-misp-object--af318753-2c6d-41cc-a37b-f9db1cec6b7a"
        },
        {
            "type": "relationship",
            "spec_version": "2.1",
            "id": "relationship--3d370b36-1cde-4ae8-a3e9-91580dd6debf",
            "created": "2019-04-27T07:43:18.000Z",
            "modified": "2019-04-27T07:43:18.000Z",
            "relationship_type": "analysed-with",
            "source_ref": "indicator--1ca9e3cc-11cf-4417-ae89-12d0db9e9240",
            "target_ref": "x-misp-object--210c73d6-356a-4be2-ba0a-cbf5b9ed607e"
        },
        {
            "type": "relationship",
            "spec_version": "2.1",
            "id": "relationship--0635de0b-8d55-4548-9a5e-d91a675c4cc5",
            "created": "2019-04-27T07:43:18.000Z",
            "modified": "2019-04-27T07:43:18.000Z",
            "relationship_type": "analysed-with",
            "source_ref": "indicator--41e3fdee-552a-4961-8183-635188ef931d",
            "target_ref": "x-misp-object--5620ac27-0a6e-466a-90ff-6e97ab1e498d"
        },
        {
            "type": "marking-definition",
            "spec_version": "2.1",
            "id": "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9",
            "created": "2017-01-20T00:00:00.000Z",
            "definition_type": "tlp",
            "name": "TLP:WHITE",
            "definition": {
                "tlp": "white"
            }
        }
    ]
}