{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2026-04-26T00:14:02.000Z","description":"Problems submitted by members of the MATLAB Central community.","is_default":true,"created_by":161519,"badge_id":null,"featured":false,"trending":false,"solution_count_in_trending_period":0,"trending_last_calculated":"2026-04-26T00:00:00.000Z","image_id":null,"published":true,"community_created":false,"status_id":2,"is_default_group_for_player":false,"deleted_by":null,"deleted_at":null,"restored_by":null,"restored_at":null,"description_opc":null,"description_html":null,"published_at":null},"problems":[{"id":60983,"title":"Check Euler's characteristic on regular polyhedra","description":"Problem statement\r\nGiven the number of vertices and the number of faces of a given regular polyhedron, compute the number of its edges with Euler characteristic, a powerful generic formula linking these three.\r\n\r\nExamples -\u003e check the test suite\r\n\r\nForbidden functions / expressions\r\nregexp\r\nassignin\r\nstr2num\r\necho\r\n\r\nSee also\r\nMesh processing\r\nMesh generation toolbox","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 414.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 408px 207.367px; transform-origin: 408px 207.367px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.0083px 8px; transform-origin: 63.0083px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eProblem statement\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 263.333px 8px; transform-origin: 263.333px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven the number of vertices and the number of faces of a given regular polyhedron, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 110.042px 8px; transform-origin: 110.042px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ecompute the number of its edges\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e with Euler characteristic, a powerful generic formula linking these three.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 34.6167px 8px; transform-origin: 34.6167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eExamples \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 6.425px 8px; transform-origin: 6.425px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-\u0026gt;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 59.8917px 8px; transform-origin: 59.8917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003echeck the test suite\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 114.308px 8px; transform-origin: 114.308px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eForbidden functions / expressions\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.7333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 40.8667px; transform-origin: 392px 40.8667px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 21.4px 8px; transform-origin: 21.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eregexp\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.6833px 8px; transform-origin: 25.6833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eassignin\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.2833px 8px; transform-origin: 25.2833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003estr2num\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 15.175px 8px; transform-origin: 15.175px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eecho\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.3917px 8px; transform-origin: 28.3917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eSee also\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/cody/groups/57483\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh processing\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh generation toolbox\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function e = check_Euler_chracteristic(v,f)\r\n  e = f;\r\nend","test_suite":"%% tetrahedron\r\nv = 4;\r\nf = 4;\r\ne_correct = 6;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% octahedron\r\nv = 6;\r\nf = 8;\r\ne_correct = 12;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% hexahedron / cube\r\nv = 8;\r\nf = 6;\r\ne_correct = 12;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% icosahedron\r\nv = 12;\r\nf = 20;\r\ne_correct = 30;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% dodecahedron\r\nv = 20;\r\nf = 12;\r\ne_correct = 30;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% Forbidden functions\r\nfiletext = fileread('check_Euler_chracteristic.m');\r\nillegal = contains(filetext, 'regexp') || contains(filetext, 'str2num') || contains(filetext, 'assignin') || contains(filetext, 'echo')\r\nassert(~illegal);","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":149128,"edited_by":149128,"edited_at":"2025-07-26T07:45:16.000Z","deleted_by":null,"deleted_at":null,"solvers_count":33,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2025-07-23T20:08:07.000Z","updated_at":"2026-04-17T01:07:23.000Z","published_at":"2025-07-24T07:25:21.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eProblem statement\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven the number of vertices and the number of faces of a given regular polyhedron, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecompute the number of its edges\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e with Euler characteristic, a powerful generic formula linking these three.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eExamples \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-\u0026gt;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003echeck the test suite\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc 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w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eassignin\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003estr2num\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eecho\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc 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w:docLocation=\\\"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eMesh generation toolbox\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":60984,"title":"Mesh the icosahedron","description":"Problem statement\r\n\r\nAn icosahedron is a regular polyhedron with 12 vertices and 20 triangular faces. It is also one of the five well known platonic solids. \r\nA triangulation, or triangulated mesh, is simply a N x 3 matrix of positive integers where each row contains the vertex indices of a triangle, and where N is the number of triangles. \r\n\r\nYour task here is to mesh this icosahedron. To do so, you will list the triangles/rows in a matrix of triangles, T.\r\nThe row order of the triangles in the list doesn't matter.\r\n\r\nTip\r\nVertex indices are written on the figure below; use it to help you visualize;\r\nYou can start with the triangles of the top cap and bottom cap, they are the easiest ones to identify here.\r\n\r\n\r\n\r\nForbidden functions / expressions\r\nregexp\r\nassignin\r\nstr2num\r\necho\r\nSee also\r\nMesh processing\r\nMesh generation toolbox","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 996.1px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 408px 498.05px; transform-origin: 408px 498.05px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.0083px 8px; transform-origin: 63.0083px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eProblem statement\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384.717px 8px; transform-origin: 384.717px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAn icosahedron is a regular polyhedron with 12 vertices and 20 triangular faces. It is also one of the five well known platonic solids. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 150.925px 8px; transform-origin: 150.925px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eA triangulation, or triangulated mesh, is simply a \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.05833px 8px; transform-origin: 5.05833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 229.017px 8px; transform-origin: 229.017px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e x 3 matrix of positive integers where each row contains the vertex indices of a triangle, and where \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.05833px 8px; transform-origin: 5.05833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 84.4px 8px; transform-origin: 84.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is the number of triangles. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 334.633px 8px; transform-origin: 334.633px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYour task here is to mesh this icosahedron. To do so, you will list the triangles/rows in a matrix of triangles, T\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 168.575px 8px; transform-origin: 168.575px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe row order of the triangles in the list doesn't matter.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 10.3667px 8px; transform-origin: 10.3667px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eTip\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 40.8667px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 20.4333px; transform-origin: 392px 20.4333px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 226.783px 8px; transform-origin: 226.783px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eVertex indices are written on the figure below; use it to help you visualize;\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 321.4px 8px; transform-origin: 321.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou can start with the triangles of the top cap and bottom cap, they are the easiest ones to identify 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mLEuusJjd63blnI3otxdkOIFWOXpD6BqI8esGVVusBq6u33qU+HXqw45JH5YKnenWSCDpx2dV3WWLKHbvPmLS+4uTvECaF2AKqVfuROXK8fKjaa1brBM7k4zMYMXOyifK4O1bmOWS6ze5W6geAEq4ikPoArjh6ephe6alRvsGLpRNaPdBTz+8YOd5Y1nsNZtQEVZVX3uBokXb7WfnuIF+sqTHcDSRg5M06/ckcQtTGrdoLXcnWGZEr7TneLve1x9dWWLoinU0FFytwLheWD//Qf7keIFus7THMASOlO5wZTQDWpfyVytNTN4uHVnU8Ll1RBOw//ilXK3EuPFG4heoKM8uwEsJOXKPeKInX7zNwf7hRmVG01v3SDF0e4CYgaXb90ZZHBURSaV/Cdqyd1A8UaKF+gcz2sAcxo/9EwndMcHucGalRuttO7E0I06krv/8A/x9w3PeU7ciTY897mDveX1IYMX6qLljznkbsW8lRfoNM9oAPMYOejsRuUGM4e6UWYrmaeZ0rozyODtyoVQrccWcrd6ihfoKM9lAOVkVLnlE7dQonWD7bn72tfmejQ8f+vOVlkJp5zBU27rtu4BPc3dQPECzMOzGMBaxo8vEwndSio3KBe6Ud65W3XozpZ9Bq/evmnezNuLt8LcDRIv3ro/PcULdIjnL4CZRo4sU6jcJZcrj1u4dYO8joObbd0Z0lwXvZq22dymcrcuihfoBM9cAFP0oXKDeUI3yjh3V1q39dCdrYEMnnyD5RkzcrdGihfInOcsgDFZVO6SiVuYv3WD0dwN0j8ITmaou7B5M3jbTTLtdvn7vx/s5F8vdeVuoHgDxQtky7MVwJDxY8fWQ7e+yg0WCt1gQusGiR8B59+6s20cKeGFb44MTxYtd2vX3eJdt27dwx/+8N///d8/4ogj9t57761bt/7oRz/65Cc/edppp5133nmDvwTkSesCrBo5amy3cutYrjxu0dYN8svdHBYwV2DSTTCawQtLOIO3525gPXNNOle8Bx544Pvf//7b3OY2g4939C//8i+PeMQjrrjiisHHQG60LkAvKzdYInSjnHK360Pdha/2yjI4aLuE+5u7geKd37777vv5z3/+xje+cdj/2te+9s///M9f/epXN2zYcOihhz7mMY+5znWuEy7/yEc+cu9733vlrwP50bpAv40fILYYuo1VblRT60apHft2tXXrvJ5zzOAaczdIvHgb/vTyL943vOENj370o8POu9/97mOPPXbz5s3x8mD//ff/xCc+cYtb3CLsh+4NfzNeDuRF6wI9NnJo+KhHtXasVuubcidaOnSjbHK3YwuY275uU85guduo8Ny1//6D/UIO0Xvd6173Jz/5yfr163/wgx/c6la3uuqqqwZ/sOoud7nLZz7zmbATfv3t3/7teCGQF60L9NJ45QatHJ81X7lRRa0bZJC7nRnq5pAQQetvD5a7TcuweB/4wAf+y7/8S9h51ate9dSnPjVeOOKCCy646U1vumXLll122WVwEZAVrQv0zMTKjZo8Mmt4ufKI6kI3mNW6QQrHu7m3biaJW0ZjGdzr3A3a+gzzWdh8xBFHPO1pTzvggANe8pKXvOMd7xhcuqP/+I//OGTl+W3Dhg3DK5yBXGhdoDfGD/6GQzdo5pis3cqNKm3dYI3cDdo93s10AXOHEreMytdF15u7QeLF2+Kn14mTV+2yyy6/+MUvQuVu2rRpt912G1wKZEXrAv0wctg3UrlBA4dibS1XHlF16AbbWzdILXezG+r2LHHLWDiDr9ywYbAXXHDBtl+rfXuw3J0h8+J9/OMf/5rXvCbsvO9973vgAx8YLwTy4gUV6Lo1Kzeq9SAskcqNamjdYO3RbtDKkW4urStxF7JmBk/I3WkWy2C5O1uexXvDG97wy1/+8o1udKOwf9/73vdDH/pQvBzIi1dWoLvGD/KmhW5Qx+FXCsuVx620brWhG6WYu+mHrsStUyzhOXJ3mjUzWPHOllXxbty48cMf/vDhhx8e9g11IWteYoEumqtyo2oPvNKs3KDcUPdRv/Ebf3TLWx5yk5vstn79VVu2fOqii973rW/941e+snXmEXOplcxRY4e5ybauxG3WNSefPNgLnv70bb8+4xkrHyytyGC5u6YcineXXXZ5//vff7/73S/sf+c73/mt3/qtSy+9NP4RkB2vtUDnjBzSrVm5QYXHW8lWbrRW6954jz3e84AH3PGGNxx8POR/LrvsoR/84P9edtng40lKjXajZo5xU2tdidueCbk7TSUZHJ+Iqn178JISqfGEi3fPPfd83/ved9RRR4X9Cy+88JBDDvn+978f/wjIkRddoEMWqNyokiOt8cp9z3u2/ZrI8WWwVuheZ8OGTz3kIbe83vXC/ld+8pPXffnLF1xxxfV32+2RBx98yI1vHC68+Je//K23ve3Hv/zlyl+fLKHcTSd0JW4a5sjdaebK4NmP/bYyWPFOse+++37wgx+84x3vGPa/853vHH744UIXcufVF+iE8aO38qEbLHmMNa1yg3RCN1irdU859NBn3OlOYed93/rW8eecM7xi+RX3uMcTb3e7sPOPX/nKE889N1440RwrmYNaj25bb12Jm5J4Y1y9fO5OMy2DF3gSqDuD03leSqZ473znO3/gAx+48co39c4///z73e9+F198cfwjIF9ehoH8jRy3zVW5wcKHVhOXK6dZucFaobvLzjv/8I//+DobNlx5zTW/+qY3XX711YM/WLFup52+dcIJ++6xxzVbt/7Ka1+7eeZXl8pot63WlbitWvParzF3Z6jqf1RVBif1BNV28T7wgQ8844wzdt9997B/1llnHXvssVdccUX8IyBrXo+BnC1ZudECB1WzKzdILXSDtVr3Pgcc8L7f//2w89b/+Z/HfPSj8cJhb73vff/olrcMO0e++92f/uEP44XTlMrdjoWuxE1DmZuhndydpq0MTu1pqqXiPfHEE1//+tfH/b/5m795euv3B6A6XpiBPFVSudFch1MzlisXMgzdaPdddjl8v/2+9bOfff2nPx1cNOTt97vfHx54YNj57Xe844uXXBIvnKbUSuZutK7ETUzJ2yOt3J2mwk9sWgmn9nwVnmP333+wX6jtUfbIRz7yTW96U9x/whOe8No1l6IAWfEKDeRm/MhsmdANSh5FPelJo38zi8qNyrXuDNfZsOG7J5wQfv3ppk37vf71WwcXz7L2aLf+1q0xdCVuqsrfMHnk7jQVfsJ///eDnXQ0UrxHHHHExz72sbh/9NFHv/e97437QGd4qQayUuE4N1rz4CkkbjT8N8crN+hu6O61YcOb73Of+93iFmH/+Z/61EvOPz9evqZZuVt/6AbVt67ETdzOO+88zyMx79ydZskvZPgKbOtk0YXaFjZv3Ljx61//+gEHHBD2n/SkJ5122mnxcqBLvGYDmai8cqMZh01F5Ubxb06s3CDZ0A0Wbd277LvvjffY4243venDDzro+rvtFi458+tff8SHPhT/tIxZK5nzal2Jm7ihG2iu1g26mbszlPkay1yHTWZwDcX7zGc+82Uve1nY2bJly/vf//544TTHH3/8VVddNfgAyIcXbyB540ddVYVuMPGAaaRyg5C4Mw6tuhi6wY8f+9i9NmwYfLDTTm/47/9+8up6v/KmjnZrrceqFjDX+kmyvEk30LytG/Qud6cZ+doXfmarKYMrLd4vf/nLt7nNbQYfrGWvvfZyZmbIkVdxIG0jB1sVVm4wfpw0sXKDaUdUKVdutGjrrttpp58/8Yk/3bRp/c47X2/XXeOF3/jpTx/9kY989kc/ih+WNDl368vI5Ye69X1uVGLmDTR36678a1e/8IXxo236nLvTPO1pg53lLVnCFRXv5s2b169fP/hgLVoXMuXlHEhVrZUbDR8hTavcaOKxVHdDNwq5G89BdeM99njub//2CQcfHPZ/uXnz3c888ys/+cnKn5QyoXUXOjYta+HWrfWzYnnlbqD5Wnfo35S7C2olg1v6AUVAXjwvAOlpoHKjcGw0nrjB+Jtyx4+i0g/dYOmzUg17yWGH/ekd7hB2PvXDH97z3e+OF5Y0mru1HpXOu4DZIXLi5ryB5mjdSf/y9uKVu8urNYPDDf3Slw72Cx7OwBDPCEBKxg9S6wvd8Z+UG0w79dTw8VMWlRsUofsf/xF3lrRh/frvn3ji3hs3hv1bvfnNP7j88nh5SVcdeuhgL+Rufcej5Ye6jokTt+gNVLZ1p//7crcJFWZwgz+PF8iL5wIgGSNHqE1W7rTEjYYPm3IJ3aDq1g3e/nu/94cHHhh2/uissz747W/HC0va3rqnnz7YqUPJ1nUonKylb5rlWzeQuy1boITHizfwSId+8xQAJCDZyo2Ko6WMQjdYad3yobth/frbXv/6N9tzz0//8Ic//sUvBpfu6J/ue99jbnWrsPOQs8/+1299K15Y3iB3w/U5ck7mCpVfwOwgOFnL3TSlWrfE/0LuJmp2Bo8Ur4c59JunAKBV40eldYTuXMuVx8WjpQxDNyjfuq868sjH3va2YeeED3/47V/7WrxwxIf/6I/uftObhp17vec9/37hhfHCuWzL3Xh91pG7856VynFwyha9ddZu3dL/stzNTJHBRfF6jEO/rRv8DtC8kUPSULmVh26o3Imz3LlCN3yeeYXuQv7t+9+POydO+ZmTv7r33ofe5CZh5/JrrvnkRRfFC/PWj1s2VzXdNPPEz8bnPnew98pXbttI3N/8zbYNYJVvdwFtGDmKbWaWW75vc7fQO3XXr1v3zUc9at899gj7/+ecc97zjW/Ey6PdN2z4wB/8wd1WWvel55//vIXeA7ztVt95503DJ6mq0LxD3WGGP8ma/6aZNddd6IbePt0NDHgTF0e75rrACnNdoFkjk7RmZrlzDXL7asvWrc8877y4/6b73OcZd77zXiunXN55551/54ADPvHgB8fQ/fKll/7VZz+78rfWFm7p4S3atejkxz9+sNO6mkaILK/Cm2bR7Nk+3Q1Md/PioQ395ttdQFPGjznqqNwRPUzc5U6/HBL3lNW565Zrr/3F5s27rV+/Yd3gG6Ofv/jiP/zXf5125qpojUPLld6oZbS7zFw3MgJKWelbZ+pcd7nb13Q3A+Pv1w08rqHHPP6BRowcfVZbueOJG/R2kLv0jxo67KY3fdnd737HG91o8PGKi3/5y9d88Ysv/9znrtmyZXDRkLKjk6GDzopzd/nQLTgyTla5m2Zy61Zxs8rdpA2fn1nrAis8/oGaqdwmLR26hZvttdcdb3jDXdev33rttd+9/PLzf/SjwR+sKBu3Iya2brB87lbYuoGD42SVuGkmtG51N6jcTVfRuqecssMP8fZwhh7zfl2gNuGIs77Qnfam3D6HbqV+cPnl//qtb73r619/zze+EUM33JbFtrzt79pN0MTBIClY4KapNHW8dzdRw6ELsErrAvUYr9yqQnda5VLdUDeKWVtslavsJFXVDnUjuZuscNOUv3VqmOnJXYBcaF2gaiNHolVVbkxclVuzmLVxq9js6kjnnMyFuZqKhpW5aWpbvCp30zJ7qOtRDD2mdYHqjLRBtZU7QuWOWGKoG26zYmtYhSuZqxzqDnOgnKqdr702tOz41gy5m4rhU1IB7EjrAlUYqdygpsqNiatyl1OUbdzatexK5tUFzDWSu60aSdli22bGTVP/GYnkblq8UxcYo3WBpY1X7vKhO61ymajEUDdmbdxaUDI8ElzJHM2Tu0WM2SrZ1hBumpEtqD90I7nbMqekAmbSusASiiPLaPnKPeIIlVuVmLXFlrLlVzLXtYB52PBdnZQ1FbqR3AVIVqOvB0B3jB/3L1m5I30bSdwyhoa66dZYifzY/hN3y/+43TrOwLymtb4Wr6xtajZ0C37ubgtmDHWHf75u0NK9AmiduS4wv5HQXXKcOz7IDcxy55d16O4g2ZXMkQFvstpLGtPdps21etljFvpK6wLzCEcMwwcNlVduTFyVW97qULfCExq3ZeEvodGhbuTQOUFtz+7kLkBqtC5QTjOVS7/Nd07mBs7APIPcZYzcbYhTUgHlaF1gLSOVGyxcuTFxVW7VOjDUnSDxlczB+EODtiTzhky5C5AOrQvMNF65i4XueOIGKndJqwuYkzZnhMzb7S0sYB4hd1uXTOhGcrdehrpAaVoXmGJkZlVh5cbEVblMUWolc7sLmEfI3RYlFrqR3K3LvKH7sIcNdoBe0rrAmJHKDaqtXCrRobNSdYHcbUWSoRvJXYDWaV1gyMTKnTd0Y+KqXIJFU2SN0W4rP1Z3TeMPH2qVcOhGcrdiy6xe9tiEXtK6wKqqKneEyq1DD4a6pVYyJ8ghNUPkLkCLtC4wNo9SuUDikh/qFkLubi9eubswp6QC5qd1od9GKjdYvnJj4qrc+vTmnbqTR7tpLmBelU2BZS2f0C3I3aUIXWAhWhd6bLxy5wrdaZULURVBkuxK5vC1TdyoXYahG8ndpsWTMDsVM/SY1oVeWmbRckxcldsWp19u1nDHDm+0I9vQjeTuIgx1gUVpXeiZ5St3hMqlZjuMdmtbwDzcscMbCck8dCO525qRpUxAD2hd6I2Ryg2WqdyYuCq3YXkNdeNdropt109+cvBvLm24Y4c3aMwOuat4Z3v60wff4zDUBeandaEfQjAMKz/OnVa5kLbhjh3eyFUnhrqF7bkbyN1pQuhGQhdYiNaFrouTsULJyo2Jq3KT0u936m4b7d7pTnF/eAHzcMcOb3RKt0I3krsAddO60F0jlRuUr9wRKpeU7Pq852naHuli6EZyd5ZiqHvyyYOdhTkVM/SV1oWOWmDRsspNmdMvr9rzmmsGe/RBd0M3kruTFaELsAStC52zwKLl8cqNiatyScamHe+iG5/3vMFearreZo3qx5Upd2dZfqg7bOS7wEDXaV3okAorlyQZ6g5LK3dDlcWNqvTpypS7O6hw9TLQb1oXOmGkcoPZlRsTV+XmYnUBM3udeebO733v4INESFyqIHcBKqd1IX/jlTsjdMcTN1C5pG1kAXORu22OdmPiqtya9PKKlbvbGOoC1dG6kLO5Fi1PG+Sq3MQ5K9VMTeeuxG1Aj6/evudufaekcipm6CWtC3maa9HytMqFrOx15pmDvaHRbkMkbmN6fyWb7m5jqAtUwcs2ZKhk5Y70bSRx82KoO7SAebh1o2sf+MC4c/ULXhB3KiZuG+YKX3X1C1842At68gN4Kly9fPrp234dmeW+5S2DHXcz6A1zXchKyUXL44PcwCyX7qp4JXM4FI4bTXKFDzHdBVie1oVMLFy5MXFVbo4MdWcOdYOKVzJLXFLSr9x1SiqgBloXkjdSucFclQudVsE5mSVuClz/k/Qld3uySBtonNaFtI1X7njoqtxOMtSd33y5K3HT4VaYrl/T3VqHuk7FDP2jdSFVay5ajomrcumu2QuYC/OtZJa4qXFbrKXjuWv1MlAbrUsvPP7xj//5iutf//qDi1K25qLl8cQNVG6XGOrOae2VzBI3TW6Rcpyqqkojr7BAd2lduu/Xf/3XX/nKV+61YnBRysYrdzh0pw1yVS5MJHFT5naZRzdz11AXqJPWpePWrVv39re/fffddx98nLKRce5I5T7pSZYr94Wh7oqSC5gLO4x2JS5d1LXcdUoqoGZal457wQtecMc73nHwQbJGKveRj9xeuSFx4zZ81K5yYZJtubuSuBX/uF3q4DsRC+nmdNdQF6iH1qXLDjvssOc85zlh52c/+1m8JDkjlRuE0I1i4o5QuZ1nqEsfCN0ldCR3W1m97FTM0DNal87ac889zzjjjLBz1llnffCDH4wXpmW8cmPoPvnJo5X7L/+icumVeRcwF3YOD5YVRrvpErpLc6qqWU4/fbAD9J7WpbNOPfXUAw444Mc//vGJJ544uCgd44uWi8odeVNuOHBfPXanPwx1lyF3kyZ0KxJyd3vxZpe7rZ+SauR7zUBHaV266ZhjjnnEIx4Rdh73uMf96Ec/ihcmYaRyA5VLYXUBM9G8Q11SJ3SrlmXuOvcy0BStSwfd5CY3OX1lCdOb3vSm966emjUJ45X72c+qXBhRLGBemNEu/ZHxdBegZlqXDnrLW96yzz77fOc73/mTP/mTwUWtGxnnFpU7QuX2mbNSVUruJsdQtzY55a6hLtAgrUvXPP3pTz/qqKPCziMe8YgrrrgiXtimMpUbE1flwhALmDtF6NbMdLcsp2KGPtG6dMptb3vbv/7rvw47L3nJS84777x4YWtGKjeYVrlgqLtq+QXMBaPdVAjduoVrePjHSofcTbN4n/GMwY6hLtAIrUt3bNy48e1vf/uGDRu+9KUvxR+r26bxyg3bMJULDZK7rRG69VlJ3OFreIf7eWq5G0M3fLaJhO7IyzTQRVqX7njpS196m9vcZtOmTccee+zmzZsHlzZvZJyrclmToe6YqhYwF6Nd2iF06zCWuMOSzl2AZmldOuJe97rXU57ylLBz8sknf+Mb39i4o/Xr18e/Nvh448Z162q488+u3Ji4jryZId6FMtqqVuEC5oKVzK0RutWambjDUszdYvXyC1842AGon9alIx760IfGnVNOOWXTmGOOOSb+6YUXXhgv+d3f/d14STXGj/vHKxcmKoa6n/xk3KE+cpf8lE7cYaa7AIHWhaWNV24RuioX5lf5GZitZG7BnG3GqIUSd1hCuZvaUNepmKE3vBTREccdd9xhhx02+GDMfe5zn1vd6lZh5/Wvf/2mTZvCzmmnnfaVr3xl5Q+XMHuWC2vKfahbac8UC5hr+mlD1x59dNy5+gUviDvUReguo9Jrb4d7e/GzbZvUfOiefvpgZ0bTvuUt2351R4Wu8yCnF972trcde+yxYecGN7jBpZdeGi9cyvg7FYdnuVBS1q1b9WFiY60byN0a6YclVX0Ftpy7Kbdu4O4KnWYNM8xv4qLluFxZ6FKed+oOqTt0AyuZm6Ac0tPmYmanpAJapXVhHqFyh0N3uHKB5Dknc72EbqqcqgroJ60LJcTEVblUyDt12yZ3SdTwa011WshdQ12gbVoX5qdyoVINLGAuWMlcF0PdCnUgdxMPXadihn7QuvTCcccdt/OKRU5MNX7M4ViZJXmnbqusZK6e0K1cZ6a7AO3RurCW8WO4v/qrbRuQP7lbAaFbk5C7NRRvE7mb0erler6nACRC68KiFC/LyXioW2nbNLmAuWAlc2WEbt2yy90idAHapnVhHg9+8LZtWCxe0Ut5qwuYaZeVzBUQus3IdLrrlFRA27QuzOOYY7b9Ol68geKFJTQ51IX85JK7zr0MpETrQgkTZxexeCeOeWGaDpyVqp4FzK0w2l2KoW7DQu5WXbxNTHeT5VTM0ANaF5ameFNWwzCELpG7CxK6bUk5dw11gcRoXZjHQx862BmneBOUWuj6UUNTWMCcGaFbm1LXbJq5m+8pqXxLFLpL68Kc4lt2p5lWvKK3YeHYJR6+OChPWLsLmAs7/8u/hHtJ2HY12i3DY6oK8S43vpWVZu5GhrpAMrQu1GC8eAPF25g0v0nfjaFuVztndSWz3F2D0J1TEbEjWwWK7+hVZKnctXoZSJLWhdrE4p045qU+aYYu01nAnA2hO91wxw5vtUsndwHSo3WhnGUO8hRvM6qeclTJO3XHJLKAeTujXUoY7tjhrU1V5+724i2ZuykMdRd7jXYqZug6rQvzm/2W3WkUb60mHu0ZQ1Wr89en3J2hZ4+m8NVO3BJV9bf55sjdRE5JFa4BT/jAGK0Lc5pxKuYyFG8dkh3nRoa601nAnIfuVkQRsSNbfsLTYKXPhHNPd1N4p+7Cd9TEX0SARWldaMO04hW9C3CMkqHkFjAXjHbH5R+6RcGOb13TcO4mdUqq+LWb7gJDtC60Z7x4A8VbXjiymXFgl8gRj6FuduTusKzKIebr+NYv9eVuyQEvQDK0LixksbfsThSLd+KYlxkqPZ5jbdU1TzHUtYA5damGbhGxIxsDNeVuMJy7z3zmYMfPGQJSpXWhtLoP+xRvebmErqHubOF2THN7z3viJ2i0267hjh3eWFu8J1dkQu7G0E3tuyELfMlOxQydpnUhMYp3tkoP4GCWcBy/8867Pv/5gw/7psGMKSJ2ZGNZteZudPLJyRUvwCqtC/Nb8lTMZUwr3p5Hb/njtpSOvbow1K3u+ty+gPmd74w7yVlJ3OJduz1VzyMo/KMTN2pUU+7e9Kbbfi1WL6f0lLsg30WFLtK6sKgK37I7zXjxBr0t3uwORFYXMJOHmLjDh+zFSua+jXaX7pZYsOMb7ag1dwuJ5K5kBYZoXUheLN6JY97+cPhCTcYTd5Ie5e48xRILdnwjOeEptKJn0b22bh3sBa997WAnKvFQAmiS1oV89LN4FzhES+Fgq2NnpYq3wtJbQguY40H5mneV1dFuX0y5QsKlEzcyEx6Gy9ntec8Lt/t1Z+RukMIzMMAKrQvzSOElvFfFu/SRGewg9u1cD+Q+rWQO18vEje4o96Q6cgcotuIRtGvxA4eC3HPXqZihu7QuLKGBt+xO04fizTd0/aihmVoY6q4eoA8+XFRncrdIlx22vPqEhQ09te5wBxjaJiru/5v+7M+2fdil3AU6SuvCQho4FXMZ04o39+gNh2ILh64DrFRt+pM/Gew1Jvbt8neJbFcyx24Z3ybwwOm04Vt/23bttdu2wR8ubu3czet+le83WIEptC7kb7x4g3yLN/ejDUPd1sUj7GoPstNeyTwImLGtrLyChOmGb/3hbbJ5nmxHhrqFNXI3cO8C2qN1oSti8U4c82bEt9W7rsYFzHUk7iQt5m6RLiPbUqRIhoZv/eFtbuWecqeFbiR3gWRpXVhOi2/ZnSbf4u1A6BrqTlHjAuamErfJlcxFuoxs1RMhaRu+9Ye31JTKXXc2oHFaF+aUy6t1XsUbKreS0HUs1R/x0LnhW7zqlczhs5+4NcTjJUkN3RNKP4JmD3ULa+dukOxdzqmYoaO0LnTatOJNKno7s27ZUHctFSxgLn2AnpTYLeMbtKC2R1DeuQt0kdaFRRWnYk5wGfOI8eINEinezoQu01WzgDmRxC0x2o0dO7ylSHL0TXwEzXm7lxzqFhLK3cVGtV6SoFu0LvRGLN6JY95WVLVuudDusbuhbk0WOkCvV9rnZC4lqeuTWi3xCJo3dKOyuetOCNRP60L/pFC8vnfeP/MtYF7iAJ01uFZTVtWt0+ojqFTuBu6KQM20LizhXe8a7OSoxeLtXuga6k433wLmVg/Q55DvaFddpGz5W6e6R9BiQ92C3AVSoHVhfuOvzem/ZXea5ou3e6FrRr286g7Qm5Nj7uqKrkryEZRZ7joVM3SR1gWmF2+10RuasL4sbOtoKXxFq1edoe64Yqg7eQFzkgfo0I4FHgi1PYKWHOoW5sjdGr4KAK0LSzjzzMFON4wXb1BV8XZy+Gmiu5jaDtCbltdoV0ukbK5bp+ZHUFWhG5XN3SCRu6gndugQrQvLyfotuxPF4h2J3iWLtweha6i7tpoP0NuRS+527GrvmJK3TraPoPxyF+gKrQsVyfctu9NUUrwhCBsI3YYPj4a/qJGriCHbFzCfeaZD2Da58lO25q0T/kLcGlHtULcQcnd78a6Zu019sUDnaV1gpmWKt4HKbV4nvyiWkfhoVzakbMatE5Ov2Zuv7vtw2dwN3G+BKmhdWEjfXoanFe+M6O1D6K5eJxYw912yuSsYctR44o6rdqg7LOncdSpm6BytC0vr3lt2pxkv3mBi8Zro9t4OC5iBcYl9J6Km1cvjTHeBxmhdWM7wcXz33rI7USzekegtijcEYcNN2MDB0MQvavUaMNRlmwRHuzohZf2+dXbI3QTfvus7m9AVWhdY1MTiffGLB/ud4aCHOW1MIXeFbsrSu3UaG+oWtuduYMAL1EPrAssZL96Qu50p3mmha6g7U08XMK+OdtsnDFKWcOhWZc9dd33KEUd86AlPuOzFL778JS+5+EUvOvOEEx50+9sP/niV3AXqpnWhCv15y+40bRVvfUc/E9ctw2yrudvmaFcSpCztW6eSoe5hBx74pb/4i5f8/u8f/mu/tvuGDRvWr99r111//za3eevDH37O4x8fMnjw91bMnbvu3sA8tC4sauIrbk/esjvNtOLNbsw7u3INdcvp+Vmp2sldJZCyJG+dalcvH3qLW3zgj//4Jte9btj/4Fe/+si3vvXYN7/55A996OIrrgiXHHnLW/7z2LmO58vdoNar0amYoVu0LlC18eINMipe49zlFAuYB7Pxvm3vfvfgy2+e0KVVe2zY8E8Pe9juGzaE/ce8/e1Hv+EN7/iv/3rvl770og996M6veMW3L700XH6/3/iNe9361it/fbu0chfoEK0LS/MjVSaKxTsSvekXb2iV2Va/IkPdEeGKixtJrGQmNT0Y6j7usMP2v971ws7Lzz33Lf/5n/HC6MeXX/5n739/3H/EXe4Sd4Yll7trvhYAOdC6UBFv2Z2mvuKt9lgnDuUorYjbuI3Y653vHOz1W3O5a9KVsrRDtyonHnJI+PXSK6885UMfipcMO/srX7n4iis++e1v//LqqwcX7WiR3HW3B2bSulC1nr9ld5rEZ7wlK7f3Q90ZcRtdXSxg7rmGz8nsiD9lyd86lQx1b32jG93yBjcIO2/73OeuuuaaeOGwrddeu//zn3/Uqac+bvo3wubO3cCdH5hO6wINmla87Uavce5Ma/Ytk73nPeEYPGyVT89GOdZPWaq3TrWrl4M77Ldf3PnEN78ZdxYjd4EKaV1YgtfXxYwXbzBv8VZy5c+1brkY6v77vw/+wzS3pRVlG7cFWMA8osbc9SyUsj7dOnc54IC487Uf/zj8esA++5x03/v+y4knfvu5z/3XP/7jl//hH976RjeKf2FNLeeuUzFDh2hdqI637M4lFu9I9DY5460iC1M03L2ltyXjNrKAecS1da9kFrospPKhbnCjvfaKO9+85JIn3eMe//2sZz373ve+32/8xk2ue9173/rWT77HPb7w53/+vN/93fh31rRg7npEADvSulCFkVMxe8vuXFop3m1xt4htQ91OGI7bBa8LSihyt/aVzKQm1e6q6a54nY0b486fHH74K/7wDzesX/+NSy555+c/H7awE//oL+91r789+ui4v6ZFcjeo8Gpf9GUCSIfWBdLQZPEucAQz8rnlqSjbOo7giqGuBcyT7bzzri94wWC/EkZYKcvh1qlwqBusW/2ST/m93/vlNdc8+m1vu+1f//Uj3vKWsIWd8OE1W7aEP338YYf93sEHx7+5pkVyt3wVAz2gdYGUTCvekehd+DhyZb3uYL8fSvWtaqrTttFu5dewmyxlCd86daxeHrF+3brHvP3tZ5x//uDjFeHDZ77vfXH/Wb/zO3GnjF2HP08dC8xJ60KlvGW3EuPFGyw/5l24clc/mSwWMA/H7aJfMBW79t3vjjvVjHaFbsp6f+t85rvfffcXvjD4YMjpn/zkBT/7Wdi5681vft3ddosXThWuxrjJXWAJWheWM+2wxlt2l1dt8XZ6nNt63FrAPLB6dF6juv99lpH2rVPrULf4mbqf+Na34s64f//2t+POIbe4RdwZFR9BY1ej3AUWo3WBtMXiHYnev/qrbVtJS65bXv1fJzXUHY7biV/baUcd9drf+Z0Z2yE3ucngr2qn5U05QB9WzWjXjcWi6j472k9/+cu4878rP3Noois3bYo7u+2yS9wZKPEIajR3/dgh6AqtCxUZORUzlVuseDs0zp0dt8N+fZ99TrztbU+4zW1mbL+2996Dv83CShygD6t4JTOpKX1PaFdN79T9j+98J+7c/Fd+Je6MK85fddXmzdt+m/MR1MJ0t9MLgqAPtC5UrXjLrmXMdZireJc/TGl1qFuUbdzK+80b3GCw14jeLWCe8wC9Ms3/Hykv7VungVNSfeGCC+LOnW52s7gz7sbXvW7c+Xz4ywtdYxYzA3PRukCGphXvcPTm+f34xeJ2xJ1udKO4c893vWuvU0+duL3ta1+Lf4c5LJ24i492hW7K3DqhdS+88NuXXhp27nPrW//q9a8fLxwWQvdev/7rYefLF1304yuuiBcuQO4C5WldIFsPetC2bUQs3kpCt6mhbiV9O+xW17te+PWarVs/ddFFV2/ZMnHbGq8ix+hlxMSt6LpaJHfdTClL/tZpYKgbvfq888Kv69etO/0hD9ltw4Z44TYrD59TH/zg8Efhozd8+tPx4oXJXaAkrQtLGz/Q8ZOH6hY6rajZWLwj0bv8DyiqU1G2cavc4StrCD9/8cWDoK1TlxcwrxygT3iAN6z1T4AZkr91Ggvd4NT/9/8+uXKm5cN/7dc+9uQnH3bggfER9Bv77vuvj3nM/Q8+OPzR537wg9M/+cmVv74UuQuUoXWhTt6yW7nhyh1RbfFWPdQtyrbu+txnt9322XXXsPPVn/wkXsJ8Yt/W2TBzjHaTT6lec+uMedAb3/iplZNU3WG//T76xCf+7MUvvvRFL/qvZz7z3re+dbjw25de+kdvfGNV34OrN3edihk6QetCdZyKuVYzKndYMjPeomzj1pi7rf4woY99//tx54a77373/fbbuH59/HC76o7UuzDUjX3bVL2Uyl0pxXKaHOrGh89lV1111GmnPf+ccy698spw2a677HKdjRvDzqbNm//uE5+426te9cPLL1/529UIubu9eGua7lZU5kArvI5CFYrXwmKQW5w5SQAvb+FDjdWc2MFf/uVgZ4ZFh7opHBM99Y53fMk97hF2Hvj+94fEfeTBB4fWjX/03Z///E1f+corP/e57T/wYzldWMDcXk/uvPpNmU3Pe17cGaV1U5bDrdNE606/Hu5ywAH77b33+p13vnzTpn/7+tc3b906+IMabHrZywZ7heUHs295y2DHIxGyZa4L9fCW3UqUnOVOMz7jDaoe84bPr9hScOd99407b/7d333mne9chG5w8+te93mHHHL+8cfvv9deg4t6Kxy8xq09a4x2HV6nLIdbp97QLfEI+uz3vvfeL33p3V/84oe+9rVaQzfYYT1z5BEEaF2onbfsLmbJyh02b/GuNdQdjtuKPsUq3eGGN4w7e2/c+P8uuOBJ//Zvx5x11sPOOecfvvSlTVu2hMtveb3rnfvgB19/t93iX1teTkPdEgforRjNXYfpKcvh1qkrdFN9BAUTchfoPa+mUJEYZsNlaxnzYqpK3GnGFzaPrGqe1LoJNu1Eu6xb9/MnPWn9ypHoo/6//2/kh+j+2vWu9/8dfXQc6r7pK1953Ec/Gi9fTE4LmBOOkwkrmRP+bMnl1qm4dZP5qiesVZ7m4Q9f9tXEGmbIn0cvVETrLq/uyh02o3hXbriNNf9M3ZpsXL/+d/bf/7obN162adOHvvvdwaVDbn/DG37muOPCzpZrr93/9a+/9Kqr4uULyKB1MzlC3SF3HVWnrG+h29LXO0fQzrB86wYxdz0qIVsevVCR4jV1PHe1bhlNhm5hvHjPPz/+nmnrlvHhP/qj+AN4H3r22e/95jfjhQuIrZti6OZ2YFq0brBptVJIUU9at/4vs5qaXbXz4x4Xd649/fS4M+D0VNB7HrpQkRmtG8jdGVqp3GGTTte88e/+brDXOS+5+92feqc7hZ2nfOxjr/3Sl+KF80pxqJvOwWi4S8/5yWwf7WrdZOUTuvETvWre0K36C6wwaIuanU3rAiM8dKEiWncBrVfusN4U7wm3uc1rf+d3ws4rP/e5v1x0fJ1Q6yZ4DBrv2HK3SzJJnd1W7zxzhO4SX1pN49nFjIZuoHWh9zx0oSJady5JVW7hoQ/d9utDHrLywXZ5Fe9uu+xy2+tf/9s/+9m09+IWc91Hf/jDb/2f/4kXzqv9BcwpH3oO371Lf55WMqcrn86Zo3VLf1HNj2cXs711/8//2emtb922o3Wh9zx0oSITWzfwlt0RaVZuEEN3p53Wn312+HXLm94UPyxkUbyvu/e9H/EbvxF2tq1P/uIX44UjPnj00Uftv3/YOeLMMz/1wx/GC+fS5lA3iyPOkTv5/LmrdRPSsdCd9OUkNZ5dzA6hG8TWDZbMXa0LmfPQherEA9yJrRvI3WQrN9qxdaPsiveYX//1t/zu74adf7/wwqPe9a544bBbXe96X3j4w9fvvPMFV1xx4D/+4+DSObXQunkdaE68q5f7EuRuWjIM3WBC6+68cy7j2cXU1brhsRz/Ka0LefLQheoUB7iWMY9IvHKDSaFbGC/eIM3o3WOXXb514on77Lpr2B//+bp7bthw9tFH//aNbxz2n/rxj79myuB3thTPStWM8ge70+7wJf4FK5nTklXr/qzSzzbBoJ1mNHSDqlo3MNqFnHncQnW07rj0Kzea2bpRLsVbnHpqy7XX/tVnPnPq5z9/2aZN63be+cib3ewVhx9+8PWvH/7oExdccO/3vGflr8+tv61biXlyV+u2LMm22fSCFwz2lpZRzc42oXUDb9kFwgN38DuwvImtG/TzLbu5VG5QInQLWRTvCw899C/ucpfBBzvtdOU11+yybt2u69fHD//9wgsf9IEPhACOH85L61ZgrYNmudu+9sKmwpoNOhO000wO3cBbdoHwwB38DixvdusGPcndjCo3mqd1C4m/lfc+N7/5yXe72x1ueMPBxyt+9ItfvPoLX3j5+edvXfQ2ErqVmXncbCVzy+qvmgqDdv0FF8SdrS98YdzpFa0LzOBxC9XRutlVbrBQ6BYSL96b7rlnyN3rbNhwzZYt37v88s/9+MdLHq5p3YpNvzmMdltTUdJUO55d/6IXDfZGPOpRg51etu7U0A20LqB1oWIx9nrYujlWbrRc60aJF+8OtG5q5G5S5nyAVDmenVazs622rqHuYGdYJW/ZDa9u8d/RupAhj1uo1OzRbldbt9+hW8jl5FULu/pP/zTuCN3qTTqM1rpNm3QrVDyePeWUwd5E89ZUv0M3GLTuxNANKhntFq0byF3IjQctVGp26wYdy918KzeqtHWjDhev1q2X3G3PpupacY2aXcy0xDLUjbQuMIUHLVSqP62be+UGNYTusJwWNpcTW1fo1mvsYFruVqLCmg1qCdp5nXBC/L3vQ92g1tYNvGUXsuVBC5XqQ+t2oHKjmls36kzxGuo2Z8fjaa1bXurj2Qqthm5gqDvYmSjmrtaFvvKghUpNa92gA2/Z7UzlBo2EbqEDxat1GyV3p+tR0M5gqDtX6wbL5K7WhWx50ELVYhBOa90gx9ztUuVGzbZulPVbeS1gbsHQgXWvclfNrkHolgzdoNq37GpdyI0HLVRt2mg309btXuVGK63bZOgWcixeQ93WrB5bd691Be3itK7WBcrxoIWqdaZ1u1q5QRtD3XEZLWzWui1bOcLOLnc7eDqoFAjd8qEbxUytpHUDuQtZ8YiFqk1r3SCX3O1w5UZptG6URfFawNy+VHPXeLZRvT8lVbBg6wYL567WhWx5xELVsm7dzldukFLoFlIuXkPddOy8+hzSZOsazybEUHfe0A20LvSYRyxULdPW7UPlRkm2bpRm8WrdpOy8+sSy6XnPizuVMJ7NQO9DN2indQOnYoY8ecRCDWI3jrduEHM3qdbtT+UGCYduIbWTV1nAnJSidYO5ctd4NnuGuguEbhRz1+mpoH88YqEGGY12exW6QQ6tGyVSvIa6CVq3+sRy1VjrGs921qMeFX/fevLJcaeHlm3dYPllzFoXsuIRCzXIonX7VrlBPqE7rN2FzVo3NZc/5CGDvSoI2jyshm7Q29ZdPHSDCls3kLuQDw9XqEHirdvDyo3ybN2oleIVum2pMGjVbBcY6mpdYCEerlCDGa0btPiW3d5WbpBz6BYaLl6tWx/jWcoSukuGbhRLVetCz3i4Qg3KtG7QZO72uXKjTrRu1NhbebXukioM2o3/8A+DvSFbfu/3BnuT7hJ0hNatsHWDxXJX60KePFyhHrEtU2hdlRt0KHQLdRev0C2j2vHsxKCdYXvrBnK3k4TuikHrLhy6wfKtG8R/ROtCPjxcoR4ptK7KLXSxdQs1LWzWuoW6x7PLMNrtsiJ0X/jCPvdVBUPdYMnWDcJLqtaF3Hi4Qj2KzmzlLbsqd1inQ7dQefH2qnXbHc8uSe52ltZdUU3rBsuPdot/Qe5CJjxWoR5lWjeoPHdV7rh+tG5UVfF2MnRTHs8uw0rmbhoO3aiXfVVZ6AZaF/rHYxXq0XzrqtyJitA966xtv/XjAGX54s20dbMezy7DaLeDtO4KrQssw2MV6tFk66rcGUZad5ouHrgsc/Kq2Lpphm5Xx7NLkrudMh66Uc8Sq8rQjWKsal3oDY9VqE1M0ImtG1Tyll2Vu6aV1l0jdGfI/4BmgeJtfahb7Xh215Wg7fxDxUrm7pgWuoHWXdIyo934ghv/Ba0LmfBYhdqUad1g4dwVumsqOdRdQIYHOuUXNjfTuhUGbazZcX17hBjtdoTWXVF96AZaF3rGYxVqU7Ro5cuYVW5J9bXuNMkfAJUp3qoWMNcxni2jzw8PuZu9GaEb9aaykm7dQO5CDjxQoTZ1tK7KLa/50J0hsaOiGcU771C3jnfPLnBleWBEWjd7WndFLaEbxVj1ll3oBw9UqM3s1g3mesuuyp1XUq07TatHSxPfylsYbt2GTwdV/krxqBgndzO2ZugGWndJS452tS5kxQMValOydYPZuatyF5BF6M7Q4FHU7OJdwK7/8A9L3mVnf/EeD2uSu1kqE7pR1yurxtANtC70ybrB70Dlln8hDC+rQref4k0/vtVg/aMeFbfBx+WEoB3ZNq5udXyW4d8sNoDW1JHfQG18UwrqFONkgbluPVXTF7kPdRdQxYRhfMAbCnawN0VNd9Pii/EwWJjRbmZWv9l07cknX1vm+b+7Q8V6h7pRnM06FTP0gLku1G/aEuV3vWuwMyy8lApd5hXvNuNbDcI/Wmw1qfvf74P1Z5892JtzYg998Za3DHYWU88TLFAtrQsJiIPf2uKkX3o41J0h3qnGtzHFUHf9k54Ud4bF8owbULGhoW7c6a0mhrpAn2hdSMOk/IC6DHdv3IYUubvpsY/Vt/ky2s3DYqG742MWgIm0LtAhhroL2fLmN8ed8aHu1Y997GCPDMldslT3UHfhf997dCE3WhfqtObr4sS37EKDitAdNnElM1Axq5eHbF/A3JjF3rJrfTXkQ+tCGh7ykMEOCzPUXc5I3xYfGu1mzWg3XUveIpYxA6xF60Ijpp2KGVo1Y/XyMLnbEXI3SYa6QZZnpfLtBkie1gU6wVC3BlYyd8P20S7pqGT1stZamHXI0A9aF9rmLbu0pMxQd4eVzOHAenwjB1Yyp8vjqN2h7pI/ZRdIm9aFZHjL7sIMdec38ZRUiyiid8ZGUuRu64qh7gtfGHc8UgDqoHWhZn5EAWlbc6Hy9tHu4x4Xd+ZWRO+MjZpZyZyKGd9rWOCBkP9jJ8t36loCDZnQupAAy5hpVslTUhUqyN01FdEbN2pgJXNStg91h7nzN2axXvX9a8iK1oWmlDkVs2XMC7CAuZOGu3d4oypytxXjq5f7LYmh7jJv2fWkBGnTugD9Mu9QN2pitFvGcPcWG6VZydxBHgIAU2hdIGeGunNa5pRUqeTuuOHuHd6YxErm1hjq7ijLd+oCWdG6kAZv2aVZcw11czWSvsVGQe42ptar2r16MRobuk7rQv3mOpWFt+yWZ6g7p8VWLw9Ld7Q7l+HuLbY+sZK5RYa6UVpD3QXesquTIQdaF4A5dCR3x42kb7F1lJXMjbJ6GaANWhcaVOZUzJRkqDun5Ye6PTWSvnHrGLnbAVndLTv1Tt3uPSFAh2hdSIa37FKbakO3s6Pd8oroHdmyYiVzQ+Yc6u5cfhsx8qctbZlZILb9iF3Ih9aF9HjL7poMdZPR39ydaCR9iy1VVjLXrtYrNu171zSJDnWX+Sm7QKq0LkDH1bF62ULo+RTRO7zRJzW+U9d9CWAKrQuNsOSpQoa6abCSeVnD3Tu8Nctot0Zzrl5eXBv3nGWlM9Rd+DPpwJuNoeu0LqTEW3apWjOnpJK7VSqid3irk9ztiJrvJ5XYvoA5QZYxQ+doXWhWyVMxe8vuNIa686g7dK1kbs5w9w5vJKuxoe4w94pWuM4hVVoXgMVZydyy2Dbj25yMdivWSugWFroPNKBTP2oIyIHWBfJhqDuP5n+grtxNSBG9w9tMcrdr1rrF2U57Q0dpXUiMt+ySGyuZszHcvcMb1Wp3qDsspds3j6Gut+xCt2hdaMq8p2L2lt0pDHXLaHioayVz3lajd/uDy2i3S3w7o3LFC7qBMKRN6wKZWF3AzJqaX708TO5mTe4uK52h7rC2B7zeqQu0QutC40qeihmyYiUzJBq6hbaLN2lLRrgrFpKkdSE93rI7zlmpSmtxqGslczcY7XZcDVUW/sViG5fZUNdbdqFDtC4kzFt2mVMRuq2Tux0hd8tLfKg7rIoB7+y+BUiB1gWSZ6g7v7ZWFFvJ3A0ea72wUPHO27feqQu0SOtCg+Y9FTPMo91TUhWsZO4GK5nnk9FQd0SJ3C36tnziZmmxGtfwkDCtC0nylt2CoS60Tu7Olm/oRlMGvMv3ba5DXW/Zha7QutCG8qdi9pZdyklkqBsZ7XbDDt9gWmi9KzlZuX2LvnVjr2F8oZYHCKRH6wIJM9QtJ51TUhXkbjdsf+idcMK2X2Pxjm99lvtQd8Wgbyu9Nb1TF2id1gXojhSGunRWzN2Jiugd3kjboG9Xth30+eaT5dAtWhdS5S27hrrlbF+9/MQnJnWEarTbDYs/AGMyjW9dkttQN5Zt3NZQ1S2VaT16yy50gtaFZi1wKmZv2WUuw1FR1dHqouRuN4yuZF7SyF00bjnKJ3Rj3M59LS9x02xfwNwHpsGQKq0LJMlQt5wdhroTFS2xxGErbFdJ7o4buaMWG4uKcRu3pbghgGxpXWhJmVMxlz9dM720yCmpioRo6vjVaLcbWvuu08g9tthal+pQN8Zt9VfQPNd53melWuZzTuGeCQzRupCDvi1jNtSd09Sh7pqKcohbPeRuN1S8knlJI3fduDVmNXQTEb7yYqtRw1dy67xlF/KndQGytPbq5QUUzdC3g1rmlULujhu5AxdbbVoc6sayjVuj1ro+e/SjhhY4AQfQLK0LJMpQt33DtbDWAe5sRrvdkOujcuSeHLeFtbp6OcbtUo/G5S15BQI0RetC48p/Jzj8zR6+ZXd1ATMz1DLUXVMRCcsd6crdrKW1knkZI/fnYktPjNu4JWTS1dWRoe4Cn3znh9iQJ60LmfCTh1i1yCmp6lC0waRD3nHFaJfslb7Rs1R8dSNb1OBQN/wv45a04prpJG/ZhcxpXWiP0yyPc1aqeTQ61F3TcBVMOfy1krkb1p999mAvsVM01Svcq+v/eou+zakgVx/yPXqn7gxTnv2AVmhdgJy0s3p5AfHwd3jbkdzNWk9zd1W1Q91YtnHL2NhjHKB1WheS15/xr6Fut60Ub+qJDtOsvj+5qtDtQt8OufYf/mGw142hrvffQidoXciHt+z2XjZD3ZmKT95oN2s9H+0upujbziRu93nLLuRM60Ib/FC+cYa6a0nllFSV2pa7xSJnayBz06PcXW6o2/m+7dpQt7zhV3OjYEiP1oW0qWLGdGAZ8NQvYbh7hzdo0UI/XanoW3ffXGlXyJ/WhVaVfC9u59+ya6i7lm6sXh62fSXz4x8fd2YZSd+4kYBerWQuM9TtYd92f6g77zJmz06QDK0LWfGWXbqoVO6OG+7e4Y1mdTx3S6xeLvrWnQ8gKVoXaJuh7lq6N9SN6vpyRtK32KA6+naUFb9AerQuQNK6GrrRfCuZlzSSvnGjCnWPdg++4Q03Pec5l/3FXww+Lmex/2oH4ctZuZ8UQ119O2L7AuZOEvCQOa0LLZn3pFNdfcuuoS6rmsjdccPdO7yxsKpzd8+NG99y9NHr53zOXOy/2sHQFyJx+67kW3a1MSRG60JuvGW3T7o91I0S/dJG0jduTLd9tFupPTZs+JeHPvR2++47+Licxf6rabaefPJgjx3190cNAZnQutC2zp9jeYbVbjfU7blGVzIvYyR9i40Vla9k3nfPPT/6iEfc8xa3GHxczmL/1ajVL0HosoaJawc8LUAatC4kr9s/YtcBwXR9GOp2RBG9I1ufLZ27x972tl943OPuctObDj4uZ7H/igX0ZahrZA0507qQj45NgA11Z+pb6GYz2p3LSPrGrdMqWcl8+xvf+OOPetRbjj76BnvsET587fnnX/KLX8Q/mmGx/2oyQ13GzftTdoEEaF3IkLfs0kXdzN1xI+lbbF2x/ErmE+94x8P23z/s/PCKK45997ufXK6fF/uvJhC6JXinLpAFrQvt6fbi5HJqOp9N7qxe7qOR9I1b7hbN3SuvueZF55130KmnvusrXxlcVMJi/xVUSfxDSrQu0AajaSbpy2i3vJH0Lba0Lfk9rH/6whdu8apXPe9jH7vi6qsHF5Ww2H81ylC3hN4NdeUrZEvrQgLKvxG3zydt7o2eD3Xlbikj6VtsyVhmJfN/XnjhZb/85eCD0hb7r2AOc71lN6XHI/SW1oU8ZT0XLc5KZQHzGKuXWcpw9xZb6xZdydw0Q90SvFMXyIjWhRx4Zy99ss5ot1oj6VtsNcvsm1lCl4V5jYZUaV2gWYa60xnqFuRuE0bSN26VWmYlMwnq71DXEBvypHWhVQt8M9hbdjuqCF1o00j6FtvyUs5dQ11KKvOWXWEMydC6kK0c37JrqFuCoW5ktJuWkfQttrV4sHeGd+oC2dG6kAbT2n6zenk2uZuukfSN245SX8lsqEtNxh4LQMO0LmQo0zA21GVOxWiXzAx3b9ySJXTLMdQ1zYYcaV3IWY7LmBljqDuDlczdsP6sswZ7Kb9rF8qY66fsAq3SukAjDHWncEqq8uRu1lLMXUPdeZltAlnRutC2kqdi9uP7us5QdxormTvg2pWNTG1fwMw0I6/RvikAadC6kKe83rJrqDuF1cslWcmcqZi4ReWuS2q0a6jLvBQs5EbrQjIWy1dv2aVn5G7iir4tEndYKrkrdEtzVqoJyr9lN+UTs0EPaF2gZoa6UxjqzsVK5sTN6FsAaIXWBWiBU1ItwErm1BR9O1fiLjDavfErXrHLySfv85KXDD4uZ+p/ZahbmqEukDWtC9nK6i27hrrTGOouRu62ZbG+HdHmSuZ2106TO80PWdG6kIAlz7Gc8lt2vZ14EquXF2Ylc1uW79vUGOquyVB3ljXfsutKgwRoXciHHztEP4Q7+oyt+AaB0W7dir6tI3HbGe1avQzQJ1oXUpLXTxJak7NSTWKoWyG5W4f6+nYq64rTY6g71bQrZNr3o52KGdqjdSFnHWvjHnBKqkr4NkHlir5t8qh8+2g3aKAHDHWpVvmfPAS0ROtCJyT4tlhD3ZnU2pKsZK5E8307YnvunnBCvblrdDwPQ12gG7QuQEOsXiYFRd+2mLiTxdytecBrqDufeItM3ACSp3UhDR0775ShLvUz2i2viNsEA2WHlcxR5R1l9fI8tg91jz9+sDPRcPeOb91m3A2Z0LqQOW/ZzYShbh3k7mzJ9u2IHVYyR52Ppc4b7t6JWzfMfsuuJIa2aV1IzMLtms5bdg11xzglFY0p+jbXmKg8dw1151F2qLu84e6duHVJx74cyIfWhaz4EbuZM9StnNFuFOM23wPqCSuZg+Wbxymp8hVv/RkbwFq0LlApQ90xVi/XpKi7dX3N3eIaCFsHTFjJHFVRNYa686l7qFuJ4e6duNVq4vpk34+GxGhdyJ+37NIPRdfFrZ/6cg1UkrtWL89p+wLmbhju3olbJfyUXUiY1oVkLP/94NbfsmuoO8ZQd0lF180+LO38aLfMldABk1cyR1WVCRSGu3d8A/KndQHqInQXU3TdXAeb3cvdxa6H3E1dyRzMVSCGunNq7qxUuSiid9pWhlMxQ6u0LqQn0zXJhrosqii6uPWc62G78dwNyjSGU1LRgLm+KVCyjYFKaV3oBG/ZTY+h7mxF0VV4AJjvaLeOayNfs1YyR6WzwVC3JEPdpXjLLqRK60JuZr+tt+237BrqMs1wzpUtlSVkkbuNXRvZmbWSOZqRu1YvA7BC6wJVaP20WIkx1I2Klmss54rRbrKav046K+SudaFVMNQFukrrAlSs56HbessluJK59eskR2uPdqOR3DXUpUnj3x3wI3YhJVoXUrLMa2SLb9l1Vqp+Gw65HbOjfe3mbprXSUbmzl2hOz9D3WrMeMuuUzFDe7QuJGmZcLWcuFU9GeoWFZdmyLW4kjnxa6azLGYmfe6l0DitCyzHULcfin6LW/oaXsmc0TWTl7Kj3cBQd36GukC3aV3oED95qG0dG+oW/ZZ7wm3L3WtXzmNU6TZs5I8mbyxkjtyF5vk2ASRM60IXNbaMuRjqhoPRkcP6YuuNboRuEbcduOXqWMm81PUz8tCYvTGX1Qze+sIXuvZKMtStmJ+yC+nRupChvE7zOHz4PryRhphtxdYx21cyP+EJcWcxLVw/I4+XuPXVGqPd4dCNenxdAVDQupCYjDp2eKi7gOEj+OEtT3kNdWO2xa0/5s3dFK+lkQdLsfXA3CuZe3PNLMZQt1FOxQwt0bqQqsXefNuBt+wWh+8jG0uIwVZsvTLvSuYsr6WRB0vcemJ8qDusV1cFbRn5fsGM71m7N0KztC50VN1v2V1yqLuAeMw6viUgzaFuuGqKrefWXMnczetq5JFSbNla/CRVOX/VdTDUrYu37EJitC6QueGD+OGtKUmFbqy1uDHRcO729LoaeaQUW15i7s4e6g7L8WsEYDlaF5hf80PdBRRH8CNbt8RUKzamGV7J7OqabOSRErfEbB/tBuVDt5DkF9UaQ12g67QudI6fsjtbcRA/si2klaFu7LS4UV6Ru9csd07mfhl5mBRbe3bI3cW0+vm3bvsCZirkGweQJK0L6SlzKuYyf6emt+xmMdRdwPBx/PA2XRG6dYtZW2zQvpGHSdzqsfX+9x/ZBn+wYo6h7rA6P2F6bdpbdp2KGdqQ1U/phP4oDsKOOWawM27GgVrxX73znYOdCnW1dee18861DnUdhtdk62mnxZ0Nr3lN3KF2Jb43N1KwC1gwejP6MW9VcFaqGp1xxmDnYQ+b/AL91rcOdnp2r4MWebBBkpJtXaG7ass//VPcqTB09W0z5G4rtj7gAYO9Oine2bRuvWLual1IhgcbJGnJ1g3if6h1a1NJ64rbVmjd+lQYtBv+7d8Ge2OuOeqowV58iht7v4binUjo1q4Y7U5csax1oXEebJCkqlo3qDZ3V44phe4yoatvUyB3F1bteHZG0M4w2rpRJcXb6QjRurWbvYxZ60LjPNggSWm2rqHuiiJ0gzKtK27TJHdnaGY8u5jJoVtQvFMI3SZoXUiMBxukKr5Mat30lBnq6tv0ad2Ug3aGNVo3GiveYL7o7VyNaN2GlHnLrtaFpniwQaqKl8klc7eq1hW6K2aErr7NTudzN9Oana1U60aKd5XQbU6Zt+xqXWiKBxukqqrWDSrJXa27Yrh1xW0HdCB3Oxm008wRusPGordvxat1m+P0VJASjzRIVVKtWy50D95vv/960Yt+cfXV+zz2sYOLJlm3884PO+ywB9zxjocfdNDee+yx9dprf/Szn/3H17/+mo9+9P997WuDv5SkInTXPeEJcWc7By55yqJ1e1Wzsy3YuvHhOfZcOkfx5vwAF7qN0rqQEo80SFVurbvnbrt94jnPud0BB1x+1VUzWvfAG93ovU97Wqjiwcc7eu/55z/q9NOvuOqqwccJKK7irUOnpJrQuiMcx+Qjkdzdev/7D/bWtNa9K/egnWHQugs8pxVXWv+KV+s2Leau1oUEeKRBqpZv3SD+t0u2bonQ3WPjxvc9/en3PPjgsD+jdffde+/zTznlxnvvHfa/dtFFb/33f//qhRduWL/+kFve8sQjj7zOrruGyz/63/9935e8ZOWvt2bi1Vq07tqhO85hTcKK1g1qzd05araEDeeeO9jrjQWHuhONrWoOykZvVg9noduCGaNdrQvN8kiDhMWUXb51g2UODddq3VCw733a0+5y4IHxwxmt+7rHPOaEww8PO+/57GePP+20zVu2xMuD/X/lV859znNucYMbhP3HvuENb/z4x+PljZl9VS4VuuMc5SSmwtFuhUHbw5qdrcrWjRYu3nwewlq3BU5PBcnwSIOErTnabaB11wrdYw899G8f9rAb7LXX4OPprXvd3Xe/+DWvWb9u3Q9+8pOD/uzPrrrmmsEfrPqtAw/81POfH3Y++61vHbqyU6u1rrsdVNy6Ixz0JKB87hrPtmXxBcyzdbd4hW47tC4kY93gd4A53f6AAz7+nOe85QlPiKH72o9+9JLLL49/NNE9Dz44hG7Yec9nPzseusF/futbF152Wdi50y1uES+pXOjbYiuv3tANrr12h41WXbNyK4egnbbFv1ZeqNkZ2+AvsZbtQ93KhXiO25B1z31u2AYfTOPRykRlvrPgzgON0LqQszW/MXzmmYOdxcwc6p545JGH/fqvh50f/uxnx7761U9+85vj5dNcduWV7//c5z7/3e9+6hvfGFw05vuXXhp+DUm8y/r18ZIlxawttgUMn5KqIUX0xo16jBbs0J1824dzGinY4W3wN0jfAsWbxYPUULctxbtzgZZYQQEJKw6h2nrL7szW/btHPOKR97jH355zzsvOOiueOfmHp556g732mn0e5hlC317++tdvWL9+0+bN13n0oweXzq/aA8/ah7rzsvJtHnNX6+rfX/+978WdgmptV10LmKcZW9i89qrmxB6bFjC3yempIA0eZpCwdlt3rXfq/taBB37zRz+67MorBx8v3bqPO+qoUx/1qLDz/s997o/+9m/jhWVUG7fDkgvdcb0/WlpgBjvL0L+221pLFWhM9WelKmnet/Km9HjUum3SupAGDzNIW0zZJFt33DKte8O99vrCi198o+teN+zf76Uv/fCXvxwvn6a+vh2WQeuO6+LxU4VBO3s8G667q1/+8rivddPRWutGGRav0G1fzF2np4JWeZhB2pZv3SD+53MdI84fusHCrbtxl13+v7/4i3vc+tZhf8ZQt5m+LWQZuuMyOZyqdjw7HrRzXQtyNxWr995r7nnPbb+1ErrDxqI32eLVuu1bc7SrdaF+HmaQtiJlp+Vu+dYNyh8pNti6u6xf/96nPe13b3e7sP+dSy757ec+99Irroh/1HDcDutI6I5r9eiqjvFsHV9P0bqB3G3BjvfSQegGrbduVL54W3q4Cd0kWMYMCXAeZmCquUJ3MXvuttsH/+zPYuheeNll9zzllEuuuCIkbtyo3rX1nuQ51OyMbfCXStv4b/82up17btzCEWLc6rDxmc8c7NGkcNwftxG13V0XFJJ7x+qeerrmpD5tgP7x/SRIW3Gc1OQy5oWGusG8c9199977rGc+8w43v3nY/84llxx5yinf/8lP4h+1q7ND3TWVGzIsUK3ThHwd7JXR7AzESuaGzLxZrznyyMHekj9BrSZjM95gwpi3wbuuoW5Cpr1l11wXmuIxBmmrtnWDMrlbf+uGz/jOt7jF+5/xjBvvvXf48PzvfOf+L3vZxZdfHv+0df1t3VVbH/CAwV4V5gvaaRo/KLSSuV7lbtDUWzdKqXi1bkKmLWPWutAUjzFIXkzZxlp30dANZrfu8Gf5h3e+81uf8ITdN24M+2d//vPHnXZa/Am9KehP6FYYtNXU7GxtHBQa7VZvztsxj9aNEiheoZsWp6eCtnmMQfKybd1pn9ajjzjidSeeGPf/9pxznlEcDSSgY6Gb4nh2Me0dEcrdaix0C+YUusPGone0eGu7P2vdtGhdaJvHGCSvSNlpuVumdYP4n89u3SVCNyha93rT1zA/4u53/8fVP33im950eov5NEmOrZvZeHYBrR4Oat2lLHfb5dq6UePFK3RT5C270CoPMEheta0bzMjd+Vt3+P/9o7Va94iDDvq3//t/4/4fvepV7zv//LifiGRDtzvj2QUkcCAod+dW0a2Wd+tGDRav1k2Rt+xCqzzAIHmNtW7p0J32/5vduht32eVrL3vZAde/fth/8pvf/JqPfjReno52W7f749kFJHMUKHdLmfP2mv23r+5A6BbGijfYHr1V3M+FbqK0LrTKAwySl0brlvl/zG7dZ/ze77302GPDzpatW//1v/4rXjjN/znttKuuuWbwQSOaCd0Kg3bD9KDtyDN7SoeAWneWsVuqkluuU60b1Vm8WjdRWhda5QEGOYg1O611g7lyd2LrjoVuuX9xB7Nb94svfvFt9ttv8MFa9n7sY5s8M3OFodtMzc7WkWf2xA4B5W6w/Sap/9YZtG5nQndYeCre8QocFO+i16rQTdrst+xqXajTusHvQH9Mmi0UQuLGrXIH3eQmg738haCdtg3+RmkhaKdtg7/RT+kd/2185jPjzlWPfGTc6ZJwdZfZtt0ucavZ9qFuJ4WAf+c7t32PcnVbd9JJYRt8SCcVg1ygQbW/XAEVKI5+alrGvFq/6xY6/XLuJg51F6jWaZqv1uyf2VMddOQ42q3mqmz8FungAuZpxp7Vt5588rbf5rnOB3NdQ900WcYM7fHoghxo3XoMgrYYdH/gA9t+XeiwI6kxbN7P7Gkf9qWTu01cTe3dFl1ewDzRpOf2raecMtibyQLmDExcxqx1oX4eXZCDqlo3iP/CcOt2OnTXHs+OhG5h0sFHLuuKM35mz+GYr8jd3afkbulH42TtXwVt3wo9GuqOWKh4tW4GJo52tS7Uz6MLclB56wZF7ubfulvvf//B3rAyRw9jobvh3HPjTtZyfWbP5IBv4dbN4MtL4ybob+tG8xSv0M2D1oWWeHRBJmLNVt66mYTu5JqdbfrRQzGevea1r407G57xjLjTDbk+s+dzwLdm7nZK47dL7xYwTzP2hD9evFo3D7Pfsqt1oTYeXZCJ2a0blMzdhFt3kaCdosx4tquhG2T5zJ7V0V7RukEvcneiem6yvg91x00vXqGbkxlv2dW6UBuPLshEkbLTcnfe0W5o3cZDt8KaDZZZb1yEbqB125fhoV6/RrtzWe7W1LqTTSperZsTy5ihDR5akInKW3dIta3b8Hh2MR0e6gaZPbNne5And+dQ+la2gHmWoWfvLQccMNgTulnQutAGDy3IREqtm854djHdDt0gp2f2nI/wrGSuwI53AEPdUlaew7e37mc/u+3Xv/mblQ9IldaFNnhoQSZqa91poZvFeHYxWjcV+R/eGe1W6+p73nOwp3Vn2lI8d8XQLSjelI2/ZVfrQs08tCAfsWaXb91g2j+yhNSCdprOh26gdZskd6sidMvb3rp//ucTns8Vb5pmjHa1LtRj3eB3gLWEmp2xDf5S2oZPSUXLOnds98tHPnKwB3XaIXSDM88c/e7A0562bQPoPa0Lual54jFSsMPb4G90QoeHunnoUOhufOYzB3vQomnFK3qzMNfKLKA0SyYgH7W9ZbdjHTtNH1YvR6k/s3dxtZ6VzEuygLmk0aHuRBNfIyxsToG37EKzzHWBna4pjjLJSjgymrglrevHc1Yy074445045iUFRd8CNdO6wDadz928hrrD4Tpjy093Q9dKZhpQaqg7TPEC/aZ1IR91dMIHPjDY6XTupnNKqiJTZ2/kqMhdo915bV/A/M53bnsvRtyoiuJN2fB6ZqBqWhd6rx+5G9U01B0p1Rlbr/Xp3WhytwJF9I5sfTX3UHeE4k3B8ccPdoBGaF3I0MjxyvI6nbvLrF4eztQZG2vrR+haybyUd75zsDOb9F1GePl417sG+1EsXtHbsPG37LozQw20LrCiT9PdYLhUZ2xUo08TXSuZ57V9AfMC+nTXGlhsqDsi5O5I8QaKF+gcrQsdsuRhX8jdyy+Pu/nmbmzUYiuGuhuf8Yzhy2lOD2sEqrZ9AXOFYvFOHPMCdILWBYZ8/OPJ5u5wqc7Yhl2dzCmp+quXoWu0u4iSC5hZ0sSHpOJtkrfsQoO0LmSlgXJoPHdjo665LWNjPaekgmnkbklLLWDujWXPSlWS4m1Y8ZZdp2KG2mhdYExFuTsSq9O2mhRDXaHbGquXqZU7WB2mFa/oBTKkdSFPVZ2KedrBYsjd1bNVjedubNQ1N3qt9x1itDsHC5gnuXZlq3KoW+ZRGc9uPf4DigLFWzenYoaqaV3ovRlHP0O5G/M1bukz1G2ZgdsKuTubBcwTxcRtJ3pGWisW70j0Kt7lecsuNEXrAqVyN6OjUqHbMqFLA7p1Nyv6diRxtzbzTt0gjnOnUbw1Gf8pu0CltC6wIhw4Tjt2zDB3aY3Q3ZHR7tp6vIB5Yt/WZcZjs+TSWcUL5EbrQm5mt8SSpZF/7hrqkhq5O1Fvv3dW9O2afdnQUHfe94gq3jo4FTPUQ+sCOyqRuwa8TLbkt1qgpNzuaeX7tlGz1y3PNq14RW9J3rILjdC6kK2R44wFnHXWYGfEWrkbpJm7hrptErrTGe2O2P4E0ukFzMv0be1D3YUrd9h48QaKdy4jb9mt5HYBVmldYJLQLRPTJeHcFbptErqlyd1uK/o2rWQZfoQuM86dKBbvSPQqXiABWheYLrfcpR1Ct4RitEsnVdu3NQ51ax0bKl4gMVoXmCmT3DXUbY3QLc1K5mjZBczJ3OWKvq0zHyvVzPpYxVtS8ZZdP3kIaqN1IUMNH+plkruQESuZ81V331Y/1A3P4ZWvW17TtOIVvdM4FTPUQOtC59RRwuHfHP9nk8ldQ93W1HFn6zQrmTNV9G2zvViRhit32HjxBooXaIrWhZyNH0PUKsncFbqtEboL6flK5owWMLfct7X+TN2GxeIdecFSvMHEnzzU4vcmoHO0LjCPhKe7NEroVsFK5gS12bfDC5g7SfFO4y27UA+tC8wppdw11G2H0F2OlcypKfq2rcTtF8ULNEXrAvMLqTNSO6a7/SF0q9DPlcypLWBOrW9r/FFDCVK8QP20LuQphd5oO3cNdekGK5mbVPRtOonba9OKtz/RO/yWXadihqppXWAJ7eWu0G2HoW51+ruSebGh7hKy6Nt+DXVHjBdv0Lcxr7fsQg20LmRu/PigYW1Pd2mO0K1ar1YyN/+EkH7fsoNYvCMvan0r3sipmKEiWhe6qOEmCf+74f9j/blrqNsCoVszK5nXUO4eWPRtXq3Q66HuOMULVETrAhVpKneL0KU5Qrc2vVvJXM8C5hz7ljX0p3gn/pRdoApaF6hOs9NdQ126oQ8rmet4Eij6NvfENdSdZVrxdjJ6vWUXqqZ1IVtpjtpqzl2rl1tgqEvrhu6E3ehb5jNevEEni9epmKFSWheoWjgqLQ5Mnaoqd0K3EX05SdWiC5iLvu1e4hrqziEW78QxL8AkWhfyN/7d7hQM5+7ll8fdJXPXULdpQrdBHc7dxR74He5bltW94h1/y65TMUMVtC5Qm6KUPv7x5XPXKamaJnRpw4S+7e5d0VB3KZ2c8XrLLlRK60JHJXJ0WGnuRoa6TRC6bejkaHf74336Auaib3dIXChjYvE+9amDfaDftC5Qs1BNMZxC7l5xxcpFc+eu1cv0RF/euLui531rqFulonivvXaw+jfkbtyAHtO6kLOMhm/xU/3Yx4qzVS053aVGhrrUpujb3iYuNQq5+653DfYLuRRv8ZZdp2KG6jiggczFb2Afc8zKBzuacWaL+PfPOmvlgwYVn9IDHhB/33juuXFnBkPdRgndBFz98pfHnd3f/Oa4k6n4La1tD/tFz8Dc1TukoW4THvzgwU7hb/92sJOmM84Y7ESejWFp5rrQCSPvVpptYhg3o3jlLj3ddUqqRjm0SkNnVjKHyp3+LTeo2bveNTrmzWtV84xvWAPlaF2gWaGmYlDNuZjZULd2QhfontyLF1iCIxvIXPF93/Fp7bRvCRd/s/k1zMPipzdzMbPVy80RuunJfSXzpuLbWBYw78gC5taMr2oOklrYbBkzVMpcF7or8dfI+OkNTXedrQom6sM5maEJ4zPewJgXukvrQuay/qbvjrkbDOeuoW5zjA6SVLxrt7+uXfn5McNb/gx12xeL18Jm6AGtC7QqVFbYxnLXKamaI3QTlu9JqipYwDzRSPoWGyxA8ULXaV3oirlOxZyaSbkbGerWS+jmw0rmWUbSN27pMdRNUVLFW/yU3SjJuzFkROsCaRjO3Yc+NP4udOsldHOQ90rmaoe68xru3uENxk0rXmNeyJnWBZKx43SXegndfGS3knn7AuY0jaRvsdXMUDcD48UbKF7IltYFUhICbHWoG7rXmZlhhJXMNRpJ37jRQ4oXukLrQv66NKD7p38a7KySu7Uw1M1NliuZ213AXJWR9C22ORnq5icW70j0NlC8I2/ZBZagdaHT8k2aJzxhsCN35xJu8TVvdKGbp1xWMqe+gLkqI+kbNzqpleIFqqB1oUOyPhVzUAx1H//4bUeNU87MzCxrHnAL3U6wkjlR8QE4thnqdkFbxRvuQsCitC6QMLlbLaGbuZxWMndjATOMmFa81UavZcxQEa0LpGF4qDtM7lZF6HZC4iuZNx155GCYyaqtxXcoDHU7Y7x4g2bGvMA8tC6QgGmhG8ldmMRKZmhTLN6JY14gDVoXOqHzIzu5uyRD3aqFK3TaVrcMVjLnfu6A6hjq9oLihVRpXaBts4e6Bbm7MKE7j+FqnbG1K82VzNsWMENvVVu83rILVdC60C3j45QudY7cXYDQXVVk6uwNqmeo2x/TineZMa83wMOitC7QqpJD3YLcnUs/Qne4VGdsHZPaaHf7UNcC5lXbFzDTN+PFGyxZvMD8tC7QnnlDN5K7JeUfusOlOmPrrcTPyQx9p3ihbVoXyJDczdxIrE7bIF/OSsVALN6R6C1TvN6yC0vTutAV2Q3xFhvqFkLuXnFF3JW7E7R0fygydfZGVRIZ7VrADGtbrHiBJWhdIFsf+5jcnayG0B0u1RkbzbOSOUGGukyleKFBWhc6J4u5ypJD3YLcHTdn6A6X6owNgMpMK95p0etUzLAQrQs0rqrQjeTusKHQHS7VGRsd0O5o1wLmEYa6lDVevMFw8XrLLixH60IPZPdW3nmF3F09W1Ufcne4VHfYgqEP6RUrmSFXsXgnjnmB5WhdoFnVDnWHZZ67w5k6e4MUGequMNRlcROLF1iC1oUOSX9+W4RuTZLM3eFMnbEtq/PTe9bSymh3+wJmSFlG73cdL15gUVoXaEPlQ91Cg7k7XKoztiYIXVZYydwuQ91E5Xhip5C7d73rtg1YgtaFLkpzMWF9q5dHLJ27w6U6Y0uF0GWicHw/stXHAmbSVPc9vyYvfem2DVia1gUa10CbDeXucPEWmTp7y4nQZUfbR7uPelTc2SbcT2q4q1jAPMxQNzmdqdx6Hr/QB1oXaEQx1H3CE7b92sDL9mruBiF3w/+vg0cKjn76J96TZ2+FbbnrKJl+Ggnd9B8FKhdqoHWhH9p9sZx4SqoGPqWh3N2U58mZ6Y/weCizlbFrMWBshgXMhrpJyWvdckxclQv10LrQLYm/NMahbkHuLsNhUCbC7VRmq1aRu/WdpMoCZlKUXeVO5OkdKqJ1gZqNrF4eIXcX40goYbFdi611zsncHEPddk0L3dSeMGdXrqd3qI7WhY7KaFVhAy/tHctdR0KU0NBKZguYhxcw05Zc1i2rXGiW1gXqNHuoO0zuluRgiNLqW8lsATMJyb1yA0/sUA+tC9Rm4impZpC7a3I8xKKsZK6Js1K1qcw4t92nzZi4syvXEzvURusC9VtzqFuQu1CpOlYybx/qWsBMixIf585O3EDlQv20LlCP8quXR8jdaRwVsZAGzsncW4a6rUk5dBOo3IMPPnjz5s0///nPBx9Pd4c73OGf//mfL7jggquvvvoXv/jFpz/96ZNOOmnPPfcc/DFkTutC50x7Bc2olOo+DsgxdzO6+UhYxbkbV5AWGzQg5TvbmpUb1P9kHkr1jDPOWL9+/eDj6Z797Gf/13/918Me9rCb3vSmGzZs2H333e9617u+8IUv/OpXv3q7291u8JcgZ1oXuqvF5YULD3WHyd2C0GU5Fa5k3r6A+Z3vHOwUiugd2TrKULcF896dmnnyjIk7UrlPfOJgpxA+mfo/nz322ON973vf7W9/+8HH0/3pn/7pKaecEnYuv/zyv/qrv3rQgx706Ec/+pOf/GS45GY3u9mHP/zhfffdd+UvQsa0LlC1eU9JNYPcDYQuVWhzJfNw9xYbzCvBu83EQW6s3NNOW/lgRSOVG4Q6Pffcc4866qjBx9Ptv//+L135zH/84x//5m/+5rOf/ez3vOc9//iP/3jYYYfFAL7RjW70t3/7tyt/FzKmdYHaLDPULchdID2Guo1K8PsjJSs3aOr7lccdd9yXv/zlu971roOPZ3rKU56y6667hp2nP/3p3/3ud+OF0UknnfSJT3wi7Bx77LG3vOUt44WQKa0LVKqS1csj+py7TR0k0QfLj3ZnLWCeizs25S1cuTXdzcYrNyRu3MYrt5G7+h3ucIfzzjvvjDPOuMENbhA+fM1rXnPJJZfEP5rm4Q9/ePg1/LW3ve1t8ZJhr3jFK+JO/GuQL60L5KDWI4Zkc7eRgyR6xTmZK2Go25DUxrnTKjcIldvGouXoMY95zN3vfvew88Mf/vAhD3nIE+OnNF1o4xvd6EZh59xzz926dWu8cNjZZ5+9ZcuWsHOve90rXgKZ0rrQRW01Uh1D3WG9yl2hS7KWHOpCGelUbkzcJCu3cOWVV55yyim3utWtzixxWspb3/rWcef888+POyM2b958wQUXhJ273OUu8RLIlNaFTht5zav1BbjCU1LN0JPcFbrUZuHR7vYFzP1mqNuE5UO3kmfR8cQNplVu0NJT95vf/Ob999//pJNOuuKKKwYXzXTQQQfFne985ztxZ9wXvvCF8OuGDRv22GOPeAnkSOsCVatpqFuoNXdXDxTazF2hS81aXsnsHs4MiaxbnjbIjZUbjFdue3fsz372s5dddtnggxJucYtbxJ0rr7wy7oy76qqr4o7RLlnTutBXZ5012KlE3auXR9R3SPGxjyWRu5Csfi9gNtStV8qVW0hj0fIyNm7cGHeuvvrquDNu06ZNcWf33XePO5AjrQvkqb7Di3ZzN7djJjI172jXAmbq1fo4NybuXJUb5PmMvW7d4Ph/4ompouKPir8MOXL3BZbW8FB3WMdyV+jSoHZWMud8J29nqJvCqLNulX+Nc93NxhM3GKncIKVFy02a0cOQPq0LHdXYa3CLoRvV9JU2n7v9OGwib87A3LAQgZ1/Zmgx5stXbuaLlkcUS5d32WWXuDOuWOdcLGaGHGld6LoSP34ge/Xl7urJmWvPXaFLG0qOdi1g3kFjQ93OT3TDF9jW1zheuTFxu1650c9+9rO4UwTtuOJtuv/zP/8TdyBHWhdYQutD3UJ9xx8N5K7QpT2NrmTO+a6+fQFzA1qMwMbU9wXOvptNq9wRI5UbdOiJ+rOf/Wzc2XvvvePOuJvc5Cbh1y1btvzoRz+Kl0COtC70TIezKnxpNX11jU13IWUWMDej85UbNP81xsQtU7nBeOV266Xz4osvjjuHHnpo3Bl3+9vfPvz6/e9/3/t1yZrWBRaVzlB3WHa5261DKHI0e7RrAXPQ0Fmpxse53Xt+GP8a6zaeuMGMyu3iouURH/nIR7Zs2RJ2YtCOu8Md7rDrrruGnU984hPxEsiU1gUWkmboRvXnbmXFK3RJTKPnZGZY86PO5jXwNQ4/qU4b5Jap3KC7z8+bN28+55xzws7d7na3W97ylvHCYccee2zcefe73x13IFNaF7qrzx1Vc+4GFeSu0CUZxWh3xPah7vILmLO9wzcx1O186DY8zp1WudN0fdHyuNNWv+TXve51Iz9B9853vvNTn/rUsPOd73znA0OvepAjrQs9UPmpmFMe6hYSz12hS2La+XG7zIjAzjxLNFa5L3vZIpU7HLo9qNzo7LPP/shHPhJ2jjzyyA9/+MMHHXRQ2A/Re9xxx4UP4wLmpzzlKd6sS+60LtBdNR21LJ+7/TiWIl9yt1DvULfJUWdbmvkaQ+WGbYTKnen444//6le/GnaOOuqosHPFFVf84he/OOOMM/bZZ59w4XOf+9z3v//9K38RMqZ1gTllMdQdlmbuQnpGVjJbwFyvzodu+AIb+BrHKzcmbvnKDXp5/7z44osPO+ywU0899ZprrgkfXuc614nj3O9973sPechDTj755JW/BXnz2gOdVhxnHHPMYCd48IO3/XrWWSsfzCm70C3Uccj1gAcMdkIknHvuYG9NDvpJ26aXvzzurPvud+NOb1u3rqFumaej3J8omqncETP6tqByx+yyyy73uc99QuuG/W9961vnn39+vBw6wFwX6Ic6DmgWmO46riIfW29+88EeFWogAltX99c4bZY7W+8XLU+zefPms88++8wVQpeO8SCHrovHHJXMdfMd6hbqOAIrP911XEUmdhjtGupWNdSd6/kn06eLWit3fJAbLDDLDTwbQz+Y60I/LH8q5iJ0sxaObyo/xCk53XVoRT6KN+4a7Vam7lFnCur7GscHuUGZWe7d7z5h0bJnY+gNrQvMKd+hbqH53HVoRba2/tmfDfb6pOKh7rwRmN0zRvgCawrdacuVS45zjz9+sB+oXOgfrQuU0IHVyyOaz13Ix7b78GKnr2NEfRGYjoYrtwxvzQVWaF2grxrLXcdYZGo1d5ca7WZ4/69sqNv5yg0q/xpj4lZVuYFnYOgxrQuspXtD3UI4Bqr2MGg8dx1mka+hs1L1cyXzUhaOwFyeNMIXWG3ojiduUL5yg/HK9QwM/aZ1oeuWfKXvximpZqv2YMhiZjK3w/32kY8c7PTQwkPdyiMwQXVX7hOeMNhKsmgZmETrAuV0b6g7rL7cPfLIwR5kajV3FxntZtgb2xcwL6YPlVvh1zitcqMy9x+VC0yndaE3Rn7sUJmjgQ6vXh5X7eGR3CV3y/9Y3b6pJAIT77TGKreMkcoNVC6wI60LPfPgBw92gnBY4MhgmNyl9yYvvF9mtJuVxc9KVWEEJquSrzEm7pKVG4xXrpczYIzWhd6bdnzQq6FuodoDJrlLZyyQu/1pj86HbvgCl/8axxM3WKxyLVoGytG6wKRD0txPSRWPzBbe5C4918sFzIsMdeMzRrct/wVOG+TOrtzx52GLloE5aV3ogTJHA+HvTPxr837HPRHTvpzylvzPh4XcveKKuCt3SdkaZw7vzUrmsiqv3Aqfdqqy5Nc4rXIXYNEyMD9PE9AP8XjlmGO2v1/37LMHOyPC3+zS6uXFDtSKQ6gKj2VD5e65Z9zd9WMfizuQlO2tO2Ou++Y3x9/Xja9HHZFVisw31K3wmWFYUtfYMl/jxPvGvC8oxbVhlgssylwX+mTkVMwTdewwYskvp8JrI/St6S4JKxW65XU4SGoK3aQs/DWOD3KDBWa58f4zsmg5XNjh+xVQA08Z0A/Fgcs73jHYmTbXXR3adGGoW5j3uG38cKqqo1vTXVI1R+uWGe1m1SRzDHXrC91ErrFlKnfEMi8ir3nNYKegcoH5mesCQ4rQ7ZhwkLTkcVJVh1mmu3RAP9+4GyKwvtBNxGJf4Pgsd4FB7rCR0F3+CRzoK88d0A/FEczsuW4nh7rDSh7JTTuuqvBI9wEPiL+b7pKCuRcwzx7tZlUmpYa6DVRu61favF/jxJt+ydeO8coFWIK5LvRDmSOGzodusOSRU4UHXqs/i8h0lyzNHu2Gaiq2Dmjgq2g36ua9pcYHucHys1yhC1RN6wI9E46fljmEkruwozVWMseOGt/SsMZQN6VPtS5zfYF1VG5g0TJQD08l0BvFAU1cxjyyhrkPQ90RM47wyhxmVXUEbDEzbVv8DMyzVzIvoPHCmdW6TVZuW2lX/mucmLjLM8sF6mSuCwyFbq8seVBV1THZ0HTXgJfMVH6SqpBeE7d6TA3dOv+nqSj/NY7Pcpcf5AYji5bDM6rQBaqmdYEh/RnqRonlbiB3yVS952SOYTay1aS+f3ma5huvzNcYE7eByg1ULlAPrQu918PVy8PCMdYyh1lyl8wtvoA5Wh3ttqCI3pFtXsND3QX+87yUuYrGEzeopHKD8coVukBttC70huOJGeQuLCy1H7cbc25829H2BczRpL/TNWt+gdMGuVVVrkXLQLO0LvRbz4e6w5bM3UoO2uQuDSvut4sNdcekkrsTxZottmEjHzapsd6b/TVOq9xKWLQMtMRzDfRJcazzjndsOw+z0B0Xr6KFj8MqOWJePTNz4OTM1GrZBczDKj8nc522N/mf/3mboRs0UH0zvsCJN1a1rwgqF2iPuS7AkHActsyhWCWHcaa7NKPa6khtJXNJ7YZuA6Z9geOD3KDCWW5g0TLQNk860CfFQc873rHTQx862DfUrVwlR8+mu9RqpToG30ypaAHz8E8vS3m6u73GW8/yuttv4nORWS7QG+a6AFWr5MDOdJf6DIduhVo8JzMjQuWOh+74LDcOcuub5QZCF2iPJyDomZGjH0PdWi0/4DXdpXKr7bG9daua60Zpv3E3oaFuUFMHTqzcEXU8+atcIDGehqBnho+BhG4D5C5JGcqPihcwF9Jeydzx1h15wpl4/atcoDc8GUHPaN3myV3aMPkFfjVCrqppqBulOtrtUei2VbmB0AWS4fkIembN7hLAdZC7VGfxV+6hCKm3dYMkc7fLrVs8yYxf4fU9qxvnAmnzrAQ9s0x0yeBlyF3WUu9L8o4dMmjdmkI3SK910wrdoKoyVLkAU3hugl5avrtGyOCSlrzm5W6e2n+tnRi6QX2tGySWu90c6oanlIlXr8oF0LrQa+PdddJJg53g5JMHO8tTwsPkbofk8SI6ViMNtW6QTO52cKjbeuUGQhdImycp6L3ZxTuRDF6S3E1ed14dWwzdQOtOs2QlvvSlg51htT6dGucCGfJUBaxYoHgnksElyd2W9O5lr93WDRLI3U6F7njl1v1UqXKBbHnCAoZUVbwTyeARcrdSXs8mmJQlTbdu0HbudqR1W6/cQOgCWfGcBYyptXhHFP+vU04Z7CwpuwxepnhDtOy5Z9ztcO56oVpQIqEbtNq6yYVuMFcxNr9cObjHPXY6/vjBfqRygQx55gKmmNhgdUTvmrFXVQYHaZZwX3PXK1CNppRJO60btJe7GbduK5UbWLQMdIXnL2CmdIp3os5kcIdy1+tK+6bHSWutG7SUu4PWzSt0m1+uHKlcoFs8iwHljMdY5cW7TO+Nyy6Dk89dLxh5aDB0/8+hhz70kEOOPOig3TZsuOqaaz7xta+d+ZnP/PMnP7l169bB3xjWRuvmN9RNpHIDoQvkzxMZMI+6i7fa3J0m2QxuKXe9EnRKI62773Wv+96nPvWQX/u1wcdDvvSDHzz47//+f3/4w8HHwxrP3Wxat63lypFxLtBRns4gA/e5z31OOOGEe93rXnvvvffmzZv/93//90Mf+tCrXvWqCy64YPA3GlZr8TaTuzO0fpasZa6B1ZMzx9z1FN87Mytl0LpLh+4+17nOp5/3vFvtu2/Yv/yqq/7hYx/79De/uW7nnR/0W791zF3vGi788c9/ftgpp3zjRz9a+etDVls3aCB38whdlQtQG09qkLSNGzeeccYZD3rQgwYfD7nyyitDAJ955pmDj5vX7eKdqLEMriJ3d8vtVFUsq0zoBku37uknnPDYlX/t6z/60e+85CXfv/TSeHlwn9/8zQ887Wkb1q//wve+d4eJTwgNjnZTb922litHKhfoAU9tkLS3vvWtx6/84IfLLrvs1FNP/a//+q8NGzaE9D3mmGPiX7j3ve/9kY98JO63o77iTTN3p6l8XbTcZS5rtUpVrbvfPvt895WvXL9u3TVbthz0rGd968c/HvzBqr+4//3/+iEPCTvHv+Y1b/vUp+KFO2gkd1MM3SDeTElVbiB0gY7y7Abpusc97vGJT3wi7Fx44YV3vetdh1csn3DCCW984xvDzve+972b3/zm8cI21VS8eeVuYeTTftGLBjvLe/zjBztrkru9UqJVqlrAfMI97vHGxzwm7LzxE5848Q1viBcO22PXXX/6mtdsWL/+g1/84u+94hWDS4c1spI50aFuu5UbGOcCfeI5DtL1ute97jErx5SPeMQj/vmf/zleWDjnnHPue9/7hp2jjjrq3HPPjRe2rI7izTR3gzKfea0ZvJq7geLtuLWKpcIFzG848cRHH3542HnQ3//9e/7zP+OFI/7juc895Nd+bdPmzbudeOLgohE1j3aTC92JX6bKBaiZZzpI1/vf//7f//3fDzt77bXXFVdcES8sPPWpT/2bv/mbsPOwhz3srW99a7wwCYq3sOSnXVUJf+AD4Re521nlh7rB0q37tic84dhDDgk7933Zyz705S/HC0d84OlPv//tbx92fuMv//J/LrwwXjiqztxNqHUTrNxA6AL94MkO0lW07gEHHPD9738/XlhIt3Wjyou3n7k7TUUZvNsznznYI1PloqWqBczBWx//+OMPPTTs3O8Vrzjni1+MF4748J//+b1uc5uw8/t/8zcf+Pzn44WjalvJnErojn9RDSduZJwL9JinPEjXySef/JznPCfsPOMZz3jlK18ZLyz8+7//+93udrewc8ghh3z605+OFyan2uKVu2VUty5aCadurtANqmjdFxx99HMf+MCw84y3ve2V55wTLxy2bt26X7zudbvuskvYn7HOeZt6Rrvtt67KBUiDJz5I13777ffVr351r732uvzyy+93v/uFuB38wbacedH//b//N+x87GMfu+c97xkvTFeFxZtp7gbtfuYrQ7adVs7pXQkZ3L7S6VJt6x5x0EEf+8u/DDtfu+ii2z772Zu3bImXFx5597u/6Y//OO4fe9pp75j9nbiqc7fN0J34JahcgPZ4+oOk3ete93rnO9+5zz77hP2zzjrrO9/5zoYNGw499NDf/M3fDJd85jOfecADHnDxxRev/N3kTYy9xaI30+JNIXdX7H3JJYO9VT/70z8d7C1NBjdhnnqpcAFz9JUXv/g3bnrTsPP2T3/64aefPpy7t73Zzc591rNusNde8cPyrRtUkrvttG6ylRsIXaDHPANC6vbbb78PfvCDMW6H/dM//dMJJ5ywdevWwce5qKp45e4CZubuDFWVsAyuTPmh7hFHDPbOPHOws7TDfv3X/9+znx33//uCC179kY9879JLd1m//vBb3/rJ97rXrrvs8sEvfvF+t7td+NOHnHrqmZ/5TPybU1U32m0hdMc/51YSNzLOBdiR50FI2oknnviKV7xi7733Dvu//OUvP/vZz97kJjc58MAD169fHy755Cc/eeyxx46ftioP49U3b/HK3QUsmrvTyOAWzDXUraF1g4f+9m+/+bGPjW/KHfFnb3/7xZdfHpcxzzo31bCKcrfR1lW5AMnzbAjpeuITn3jqqaeGnUsuueSpT33q2972tjjFveENb3jSSSf9yZ/8Sdj/8Y9//Fu/9Vu55m6wZPFmmrtBi5951bk7jXXRtUggdKOD99vvrx/ykN+73e3Wr1sXL/nE1772rHe+8z++8Y3nPfCBzz/66HDJ3V/0on//3/+NfzpLFSuZmwvdlCs3ELoAqzwhQqJucpObfPvb39511103bdoUavbLYz/HMuTuC1/4wrDzvve974Erp0XNWD+Ltwe5O40MXtCcGVNr60a7rF9/l1/91evsuuv/+9//veqaa+KF73zSk465613Dzq4nnnj15s3xwjUsPdqtvXUnfmItVm5gnAswk6dFSNSf/umfvupVrwo7L3nJS571rGfFC0d885vfPPDAA8POTW9604suuihemLFlilfuzqvt3J1GBk81f8k00LoTXfR3f3fjvff+3qWX3vzpTx9cVMZyuTto3TpCd+Ln8/jHt9mWKhegBE+OkKi3vvWtx6/8hJj73//+Z599drxwxBve8IZHP/rRYefoo49+73vfGy/M3sLFK3fn1UbuLvmq89Pevj04mdC9/p57HnXwwdfdffeLfvrTs7/whcGlQ+78q7/6n89/fth5/cc//sdvfGO8sJQlWreuoe74ZxISt9BKYapcgNI8RUKi3vWudz3oQQ8KO0ceeeTHP/7xeOGIpz/96a94xSvCzrHHHvuOd7wjXtgRixVvprkbtPWZV5S7KbyWdDyDU2rdS1bOI3DWF77wgFe+Ml447J8f97iH3e1uYefwv/qr8772tXhhWYvmbvWtO7tyo4Y701tzAebkWRIS9eY3v/kRj3hE2AnF+573vCdeOKKbc91hvSreJHO3Gy8SVWVw0E4JL5Q09S1g/s8XvODOt7jFlq1b73DSSV/+wQ8Gl674gzvd6X1PeUrY+eTXv37YKafEC+czf+5WGboT/6fjlRu0G7oqF6AEz5WQqEc+8pFvetObws7b3/724447Ll44bN26dd/85jdvEY44t2zZd999L7300sEfdM8CxSt35zKUu9dL6b27DcgggxML3aAI2gt/+tM/fuMb40rm6++555Pvda+T/vAP169bd+WmTXd67nP/94c/XPnrc2qrdctXbtRYbapcgEV5xoRE7bnnnt/73vf22WefsH+/+93vnHPOiZcXXvrSl/7ZyoFdF87DXMa8xSt359Lj3J0miQxeNGzqPivVy4877hm/+7txf9PmzZu3bLnOrrvGD3/2y18e/apXnfvVr8YPFzFP7lYQuuP/lxmJW2igOS1aBliOJ01I13HHHXfGGWeEnS1btrzoRS967WtfG0+2fNBBB5100knxzFWXXXbZHe94x+9+97vb/oM+mKt4M83doJXPXO7Oo4m3By8RNoPWrSd0oxOPOOL5D3zgzX7lVwYfh2eqrVvf9qlPPefd7/7u8vef0rm7VOsuVrlR3dlpnAuwNE+dkLTi7FPRlVdeucsuu+y6Oj+55JJL/uAP/uA//uM/4oc90ofilbvZqiyDFx1U1j3UHXaXAw/c/1d+ZcP69ZdfddVH/vu/y/403TWVa93FQ3eZyg1qLU+VC1ART6CQukMPPfSv//qvDz/88MHHK6655pp//Md/fP7zn9+FH6u7sIk1ODF65W55cndhJZrkp3/yJ4O9pc0o4SZbt0Ylcnfu1p34T81VuVFN/alyASrlaRTysM8++xx22GHXuc51tm7deskll5x33nmbq5qf5K5k8crd8kIprVau3F1bRUFSYQbv9IEPbPs169CNZubufKFbVeVGlVeot+YC1MAzKdAV41k4UryZ5m7Q/Gcud9fUYIpUmcGPfORgJwuVtO74f7tw4kZ1h67KBaiI51OgW7pavHI3EYl1SPczeErulgrdyis3qvA+oHIB6uRZFeii2cUrd0uSu4V8IuSn17/+tt8+/vFtv55++rZfl9diBq+2bjCcu7Nad9IQuJrKjSq5M1i0DFA/T6xAd80oXrlbUp9zN8P2GIRuEFt3hqoyOKi7hMdGu1NDt+7KDeoIXZULUA9Pr0DXTSveTHM3aP4zXz05cy9yN+fwmKN1Z0gwg3fM3QmtO1651SZuYcm7h8oFaJAnWaAfOla8crdynaiOHRYw16GtDB5aybxdDN3GKjda+H6icgEa56kW6JOJxSt3S+pk7nYoOeYe6lb7tb/2tYOd5U3M4Im5O6LWyo0WuNK8NRegJZ5tgf4Zr8TnPGewkxe5u7AuxkbLrTtbhSU8UQOVGywfuioXoEGec4G+UryLWc3dIL/i7W5pLPJO3USujSUzuJnKjea6xlQuQNs88wL91o3ilbuz9SAzkh7qLmxGBjeZuIWSV5rKBUiD51+AThSv3B3Xp8boZusOG+7eZEPXW3MBUuIpGGDVxFzMKHrlbtS/ush4AXMZrVdutOY1ZpwLkBhPxAA7UrzlJZW7PU6LLg91EwndYMaVpnIBkuTpGGCK8WjMpXh7lbu6osOtm37oWrQMkDDPyAAzZVq8nc9dRbGqswuY0wndYOI1ZpwLkDbPywAl5Fi83ctdLTFJN4e6SYVuMHKlqVyAHHh2BihN8c5QX+4KiZk62LqphW5QXGkqFyAfnqMB5pRd8WaauyqihA4uYE42dL01FyA3nqYBFpJX8WaUu/phHp1q3QQrNwrXmHEuQIY8WQMsIaPiTTx3xcNCBq0rdOsz/IkF7qgA+fCUDbA0xTuifO4qhyV0Z6ibZuiOVG7g7gqQFc/aABXJpXhTyF3NUIWOtG4WoeseC5Ahz90AlcqieNvKXcFQqS4sYE4wdFUuQFd4BgeoQfrF23zuXnrpYI8qdGGom1roqlyAbvE8DlCbiT2ZVPQ2ULxytx7Zt25SoTtSuYHQBcifp3KAmiVevHI3Q+HF+7KsFzCnHLoqF6ArPKEDNGW8KhMpXrmbjJKvyoPQDbJrXZULQFM8rQM0K83ibSB3jzhip9UTMvcwd6t9uc21ddMJ3ZHKDYQuQOd4ZgdoQz+Lt4u52/zr6CKhG7TecsmGrsoF6CjP7wDtSbB45e6qZF8gsxzqJhK6KhegTzzLA7QtteLteu7m/sqXX+umELoqF6B/PNcDpCGp4q07d4PVs1VVmLt9eEnLbwFz66E7UrmB0AXoB0/3ACnpVfGWzl2vVYXMhrqpha7KBegTT/oA6UmneJvK3X26cqqquuXUuu2GrsoF6D1P/QCpSqR45W4yslnAnFTlBkIXoJc8+wOkLYXilbtpyGOoa5wLQBq8BgDkoPPFu5q7geKdJoPWbTF0VS4AO/JKAJCPibXZZPTK3fZksIC5rdBVuQBM4vUAIDftFq/cbUnqrdtK6I5UbiB0AVjlJQEgW+PZ2Uzxyt02DFpX6BaMcwGYyQsDQOa6V7xyd0zSQ93mQ1flAlCClweATmileOVuUxJt3dYrNxC6AEzhFQKgQ5ovXrnbiBQXMDccuocfvtPxxw/2I5ULwExeJwA6p+Hilbs1S3Go23DoWrQMwPy8WgB0VDeKV+4m2LpNhq7KBWBRXjMAOq3J4pW79UhrAXNjoTtSuYHQBWAeXjYAeqCx4pW7VUtrqNtW6KpcAObnxQOgN5opXrlbqYRat5nQVbkAVMRLCEDP5Fu8vczdRRYwB5UnYgOhq3IBqJQXEoBeaqB45e7Skhjq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data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 114.308px 8px; transform-origin: 114.308px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eForbidden functions / expressions\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.7333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 40.8667px; transform-origin: 392px 40.8667px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 21.4px 8px; transform-origin: 21.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eregexp\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.6833px 8px; transform-origin: 25.6833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eassignin\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.2833px 8px; transform-origin: 25.2833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003estr2num\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 15.175px 8px; transform-origin: 15.175px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eecho\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.3917px 8px; transform-origin: 28.3917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eSee also\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/cody/groups/57483\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh processing\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh generation toolbox\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function T = mesh_the_icosahedron()\r\n  T = 1;\r\nend","test_suite":"%%\r\nT_correct = [1 2 3;\r\n         1 3 4;\r\n         1 4 5;\r\n         1 5 6;\r\n         1 6 2;              \r\n         8 7 9;\r\n         7 10 9;\r\n         7 11 10;\r\n         7 12 11;\r\n         7 8 12;             \r\n         2 11 3;\r\n         3 11 12\r\n         3 12 4;\r\n         4 12 8;\r\n         4 8 5;\r\n         5 8 9;\r\n         5 9 6;\r\n         6 9 10;\r\n         2 6 10;\r\n         2 10 11];\r\n\r\n% Check every possible solutions\r\nassert(isequal(sortrows(sort(mesh_the_icosahedron(),2)),sortrows(sort(T_correct,2))))\r\n\r\n%% Forbidden functions\r\nfiletext = fileread('mesh_the_icosahedron.m');\r\nillegal = contains(filetext, 'regexp') || contains(filetext, 'str2num') || contains(filetext, 'assignin') || contains(filetext, 'echo')\r\nassert(~illegal);","published":true,"deleted":false,"likes_count":1,"comments_count":1,"created_by":149128,"edited_by":149128,"edited_at":"2025-07-26T07:46:02.000Z","deleted_by":null,"deleted_at":null,"solvers_count":26,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2025-07-23T20:09:09.000Z","updated_at":"2026-04-21T19:40:34.000Z","published_at":"2025-07-24T14:11:48.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eProblem statement\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAn icosahedron is a regular polyhedron with 12 vertices and 20 triangular faces. It is also one of the five well known platonic solids. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA triangulation, or triangulated mesh, is simply a \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e x 3 matrix of positive integers where each row contains the vertex indices of a triangle, and where \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is the number of triangles. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task here is to mesh this icosahedron. To do so, you will list the triangles/rows in a matrix of triangles, T\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe row order of the triangles in the list doesn't matter.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eTip\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eVertex indices are written on the figure below; use it to help you visualize;\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can start with the triangles of the top cap and bottom cap, they are the easiest ones to identify here.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"334\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"446\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eForbidden functions / expressions\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eregexp\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc 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Euler's characteristic on regular polyhedra","description":"Problem statement\r\nGiven the number of vertices and the number of faces of a given regular polyhedron, compute the number of its edges with Euler characteristic, a powerful generic formula linking these three.\r\n\r\nExamples -\u003e check the test suite\r\n\r\nForbidden functions / expressions\r\nregexp\r\nassignin\r\nstr2num\r\necho\r\n\r\nSee also\r\nMesh processing\r\nMesh generation toolbox","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 414.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 408px 207.367px; transform-origin: 408px 207.367px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.0083px 8px; transform-origin: 63.0083px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eProblem statement\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 263.333px 8px; transform-origin: 263.333px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven the number of vertices and the number of faces of a given regular polyhedron, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 110.042px 8px; transform-origin: 110.042px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ecompute the number of its edges\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e with Euler characteristic, a powerful generic formula linking these three.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 34.6167px 8px; transform-origin: 34.6167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eExamples \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 6.425px 8px; transform-origin: 6.425px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-\u0026gt;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 59.8917px 8px; transform-origin: 59.8917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003echeck the test suite\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 114.308px 8px; transform-origin: 114.308px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eForbidden functions / expressions\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.7333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 40.8667px; transform-origin: 392px 40.8667px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 21.4px 8px; transform-origin: 21.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eregexp\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.6833px 8px; transform-origin: 25.6833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eassignin\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.2833px 8px; transform-origin: 25.2833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003estr2num\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 15.175px 8px; transform-origin: 15.175px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eecho\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.3917px 8px; transform-origin: 28.3917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eSee also\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/cody/groups/57483\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh processing\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh generation toolbox\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function e = check_Euler_chracteristic(v,f)\r\n  e = f;\r\nend","test_suite":"%% tetrahedron\r\nv = 4;\r\nf = 4;\r\ne_correct = 6;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% octahedron\r\nv = 6;\r\nf = 8;\r\ne_correct = 12;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% hexahedron / cube\r\nv = 8;\r\nf = 6;\r\ne_correct = 12;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% icosahedron\r\nv = 12;\r\nf = 20;\r\ne_correct = 30;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% dodecahedron\r\nv = 20;\r\nf = 12;\r\ne_correct = 30;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% Forbidden functions\r\nfiletext = fileread('check_Euler_chracteristic.m');\r\nillegal = contains(filetext, 'regexp') || contains(filetext, 'str2num') || contains(filetext, 'assignin') || contains(filetext, 'echo')\r\nassert(~illegal);","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":149128,"edited_by":149128,"edited_at":"2025-07-26T07:45:16.000Z","deleted_by":null,"deleted_at":null,"solvers_count":33,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2025-07-23T20:08:07.000Z","updated_at":"2026-04-17T01:07:23.000Z","published_at":"2025-07-24T07:25:21.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eProblem statement\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven the number of vertices and the number of faces of a given regular polyhedron, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecompute the number of its edges\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e with Euler characteristic, a powerful generic formula linking these three.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc 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w:docLocation=\\\"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eMesh generation toolbox\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":60984,"title":"Mesh the icosahedron","description":"Problem statement\r\n\r\nAn icosahedron is a regular polyhedron with 12 vertices and 20 triangular faces. It is also one of the five well known platonic solids. \r\nA triangulation, or triangulated mesh, is simply a N x 3 matrix of positive integers where each row contains the vertex indices of a triangle, and where N is the number of triangles. \r\n\r\nYour task here is to mesh this icosahedron. To do so, you will list the triangles/rows in a matrix of triangles, T.\r\nThe row order of the triangles in the list doesn't matter.\r\n\r\nTip\r\nVertex indices are written on the figure below; use it to help you visualize;\r\nYou can start with the triangles of the top cap and bottom cap, they are the easiest ones to identify here.\r\n\r\n\r\n\r\nForbidden functions / expressions\r\nregexp\r\nassignin\r\nstr2num\r\necho\r\nSee also\r\nMesh processing\r\nMesh generation toolbox","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 996.1px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 408px 498.05px; transform-origin: 408px 498.05px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.0083px 8px; transform-origin: 63.0083px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eProblem statement\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384.717px 8px; transform-origin: 384.717px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAn icosahedron is a regular polyhedron with 12 vertices and 20 triangular faces. It is also one of the five well known platonic solids. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 150.925px 8px; transform-origin: 150.925px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eA triangulation, or triangulated mesh, is simply a \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.05833px 8px; transform-origin: 5.05833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 229.017px 8px; transform-origin: 229.017px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e x 3 matrix of positive integers where each row contains the vertex indices of a triangle, and where \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.05833px 8px; transform-origin: 5.05833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 84.4px 8px; transform-origin: 84.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is the number of triangles. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 334.633px 8px; transform-origin: 334.633px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYour task here is to mesh this icosahedron. To do so, you will list the triangles/rows in a matrix of triangles, T\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 168.575px 8px; transform-origin: 168.575px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe row order of the triangles in the list doesn't matter.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 10.3667px 8px; transform-origin: 10.3667px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eTip\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 40.8667px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 20.4333px; transform-origin: 392px 20.4333px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 226.783px 8px; transform-origin: 226.783px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eVertex indices are written on the figure below; use it to help you visualize;\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 321.4px 8px; transform-origin: 321.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou can start with the triangles of the top cap and bottom cap, they are the easiest ones to identify here.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 339.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 169.75px; text-align: left; transform-origin: 385px 169.75px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"446\" height=\"334\" style=\"vertical-align: baseline;width: 446px;height: 334px\" 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data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 114.308px 8px; transform-origin: 114.308px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eForbidden functions / expressions\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.7333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 40.8667px; transform-origin: 392px 40.8667px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 21.4px 8px; transform-origin: 21.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eregexp\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.6833px 8px; transform-origin: 25.6833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eassignin\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.2833px 8px; transform-origin: 25.2833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003estr2num\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 15.175px 8px; transform-origin: 15.175px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eecho\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.3917px 8px; transform-origin: 28.3917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eSee also\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/cody/groups/57483\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh processing\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh generation toolbox\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function T = mesh_the_icosahedron()\r\n  T = 1;\r\nend","test_suite":"%%\r\nT_correct = [1 2 3;\r\n         1 3 4;\r\n         1 4 5;\r\n         1 5 6;\r\n         1 6 2;              \r\n         8 7 9;\r\n         7 10 9;\r\n         7 11 10;\r\n         7 12 11;\r\n         7 8 12;             \r\n         2 11 3;\r\n         3 11 12\r\n         3 12 4;\r\n         4 12 8;\r\n         4 8 5;\r\n         5 8 9;\r\n         5 9 6;\r\n         6 9 10;\r\n         2 6 10;\r\n         2 10 11];\r\n\r\n% Check every possible solutions\r\nassert(isequal(sortrows(sort(mesh_the_icosahedron(),2)),sortrows(sort(T_correct,2))))\r\n\r\n%% Forbidden functions\r\nfiletext = fileread('mesh_the_icosahedron.m');\r\nillegal = contains(filetext, 'regexp') || contains(filetext, 'str2num') || contains(filetext, 'assignin') || contains(filetext, 'echo')\r\nassert(~illegal);","published":true,"deleted":false,"likes_count":1,"comments_count":1,"created_by":149128,"edited_by":149128,"edited_at":"2025-07-26T07:46:02.000Z","deleted_by":null,"deleted_at":null,"solvers_count":26,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2025-07-23T20:09:09.000Z","updated_at":"2026-04-21T19:40:34.000Z","published_at":"2025-07-24T14:11:48.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eProblem statement\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAn icosahedron is a regular polyhedron with 12 vertices and 20 triangular faces. It is also one of the five well known platonic solids. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA triangulation, or triangulated mesh, is simply a \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e x 3 matrix of positive integers where each row contains the vertex indices of a triangle, and where \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is the number of triangles. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task here is to mesh this icosahedron. To do so, you will list the triangles/rows in a matrix of triangles, T\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe row order of the triangles in the list doesn't matter.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eTip\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eVertex indices are written on the figure below; use it to help you visualize;\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can start with the triangles of the top cap and bottom cap, they are the easiest ones to identify here.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"334\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"446\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eForbidden functions / expressions\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eregexp\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc 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