{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2026-04-06T14:01:22.000Z","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":"2026-04-06T00:00:00.000Z","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":56508,"title":"Cricket - Represent Average in \"Dulkars\" and \"Ses\"","description":"Sachin Tendulkar's Test average was 53.78. So if Tendulkar = 53.78, one dulkar = 5.378. Similarly, Roger Twose's average was 25.12. So if Twose = 25.12, one se = 12.56.\r\nGiven a batter's average x, return a 2-element vector v = [s d] that represents the number of whole (integer) units of Ses (12.56) and Dulkars (5.38) that most closely represents x. That is, , where .\r\nFor example, if x = 31.12, v = [2 1]:\r\n","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: 434.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 217.25px; transform-origin: 407px 217.25px; vertical-align: baseline; \"\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: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; 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: 359px 8px; transform-origin: 359px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSachin Tendulkar's Test average was 53.78. So if Tendulkar = 53.78, one dulkar = 5.378. Similarly, Roger Twose's average was 25.12. So if Twose = 25.12, one se = 12.56.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42.5px; 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: 384px 21.25px; text-align: left; transform-origin: 384px 21.25px; white-space: pre-wrap; 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: 80px 8px; transform-origin: 80px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a batter's average \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: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\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: 86px 8px; transform-origin: 86px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return a 2-element vector \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: 36px 8px; transform-origin: 36px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 36px 8.5px; transform-origin: 36px 8.5px; \"\u003ev = [s d]\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: 172px 8px; transform-origin: 172px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e that represents the number of whole (integer) units of Ses (12.56) and Dulkars (5.38) that most closely represents \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: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\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: 29.5px 8px; transform-origin: 29.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. That is, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 120px; height: 18px;\" width=\"120\" height=\"18\"\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: 25px 8px; transform-origin: 25px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, where \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 55.5px; height: 18px;\" width=\"55.5\" height=\"18\"\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: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21.5px; 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: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; 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: 48.5px 8px; transform-origin: 48.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, if \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: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\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: 30px 8px; transform-origin: 30px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e = 31.12, \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: 36px 8px; transform-origin: 36px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 36px 8.5px; transform-origin: 36px 8.5px; \"\u003ev = [2 1]\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: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 301.5px; 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: 384px 150.75px; text-align: left; transform-origin: 384px 150.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 399px;height: 296px\" 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\" alt=\"A table showing various possible combinations of s and d, and the resulting value of 12.56*s + 5.38*d. The difference between this value and the target value of 31.12 is shown with color coding. The smallest difference is highlighted, corresponding to s = 2 and d = 1 (for which 12.56*s + 5.38*d is 30.5)\" data-image-state=\"image-loaded\" width=\"399\" height=\"296\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function v = sedulkar(x)\r\nv = x;\r\nend","test_suite":"%% x = 2.21\r\nassert( isequal(sedulkar(2.21),[0 0]) )\r\n%% x = 8.68\r\nassert( isequal(sedulkar(8.68),[0 2]) )\r\n%% x = 10.14\r\nassert( isequal(sedulkar(10.14),[0 2]) )\r\n%% x = 12.22\r\nassert( isequal(sedulkar(12.22),[1 0]) )\r\n%% x = 14.76\r\nassert( isequal(sedulkar(14.76),[0 3]) )\r\n%% x = 18.62\r\nassert( isequal(sedulkar(18.62),[1 1]) )\r\n%% x = 22.39\r\nassert( isequal(sedulkar(22.39),[0 4]) )\r\n%% x = 22.89\r\nassert( isequal(sedulkar(22.89),[1 2]) )\r\n%% x = 25.4\r\nassert( isequal(sedulkar(25.4),[2 0]) )\r\n%% x = 26.84\r\nassert( isequal(sedulkar(26.84),[0 5]) )\r\n%% x = 33.35\r\nassert( isequal(sedulkar(33.35),[1 4]) )\r\n%% x = 39.59\r\nassert( isequal(sedulkar(39.59),[1 5]) )\r\n%% x = 41.5\r\nassert( isequal(sedulkar(41.5),[2 3]) )\r\n%% x = 43.37\r\nassert( isequal(sedulkar(43.37),[3 1]) )\r\n%% x = 46.45\r\nassert( isequal(sedulkar(46.45),[2 4]) )\r\n%% x = 50.51\r\nassert( isequal(sedulkar(50.51),[4 0]) )\r\n%% x = 56.16\r\nassert( isequal(sedulkar(56.16),[4 1]) )\r\n%% x = 62.71\r\nassert( isequal(sedulkar(62.71),[2 7]) )\r\n%% x = 64.83\r\nassert( isequal(sedulkar(64.83),[3 5]) )\r\n%% x = 66.42\r\nassert( isequal(sedulkar(66.42),[4 3]) )\r\n%% x = 75.1\r\nassert( isequal(sedulkar(75.1),[0 14]) )\r\n%% x = 70.87\r\nassert( isequal(sedulkar(70.87),[1 11]) )","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-11-08T15:13:29.000Z","deleted_by":null,"deleted_at":null,"solvers_count":28,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-11-07T18:47:37.000Z","updated_at":"2025-12-06T13:00:09.000Z","published_at":"2022-11-08T15:13:29.000Z","restored_at":null,"restored_by":null,"spam":false,"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:t\u003eSachin Tendulkar's Test average was 53.78. So if Tendulkar = 53.78, one dulkar = 5.378. Similarly, Roger Twose's average was 25.12. So if Twose = 25.12, one se = 12.56.\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 a batter's average \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return a 2-element vector \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev = [s d]\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that represents the number of whole (integer) units of Ses (12.56) and Dulkars (5.38) that most closely represents \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. That is, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ex \\\\approx 12.56s + 5.38d\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, where \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003es, d \\\\in \\\\mathbb{W}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\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\u003eFor example, if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = 31.12, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev = [2 1]\u003c/w:t\u003e\u003c/w:r\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=\\\"296\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"399\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A table showing various possible combinations of s and d, and the resulting value of 12.56*s + 5.38*d. The difference between this value and the target value of 31.12 is shown with color coding. The smallest difference is highlighted, corresponding to s = 2 and d = 1 (for which 12.56*s + 5.38*d is 30.5)\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" 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WlpTHPac72Gx4oPyh98Nf0EV3wWMesnkIvNqqcRZ5geg+zYpqxFfYiLKprO9gp9oRMVWxW26AhmsTq1tnwQq1acuaFp25wtz0srElpR0lrJYmxspe5sDStK79Je4lpx2Kwu6Ef5GSaTg7InzOd9Zj5Dn4uS9Mn0mmNeM5VNx0PG3autkViomexAmeLEfS45n7Jw0/l8naqT5nSgyr3UdvFzKyd0Kf30UXH1ixNfE5uVexudaHoNZMdGuppafXhYRYVfdAF3sl6x4wRO1fn37cnz8J+p7WSdUPTJlWpfoY1WtiraplQa+8oJLZQHnH7seLajcx1KcZPKe9hKHDarC7oEP/NkclBWnHzeZ+bL8tk44ZhMfojPn9h0/IHJVdcLwJdVD5QpTtznVq9j4PNxFlEa448oziLmpnuciEOG2vpL6RCjotboVmluXWyWXOBorJXpKrJjo7ntVx4vPqiy2S2ayn2sVuyxXV1UwOPGPhOTRUM+fSGnb+i8NlW00Fx2QivmiBk3Gxvp9Cb2XPkXN6m8h63EYbNzSe9bTI4FV5xTPj9eYc5XxeRc/Bdvmlx1nFVxZ04cKFOcuM8l51POpwvyn1vchphLdpwkZ3ayNl1m+r29/E5lt+qU2Czf14xnmZ0i2bHVdJeGEq1VigdUNruyC7iTtYo9VtgLT0BbJ9PTjtX+pHT6hmpN7vSZaSPNrRl/bBxL12wnMKXH6dpVbFN0Ws3EYbML1vn5dEyOZ1FWnGxet7vgq2Jyvt6LN02uunqvTxwoU5y4zyXnU86nC/KfW9yGmEt2nM2npgW3GRtNfjT9EM2ti82yu+zGqqjZQHZsNpanqdaKh1M2u7ILuJOVij22gjNd/kT3w29FceblhdVddENPr82kJ3RCbKXrj0mdqQ5w+rxjm+mHvGB2xKI4u5gez6Io/nx+7iwTtaNcsemm7KiUa3HiPpecTzmfLsh/bqvsmKIgpXV14/GyW6WFmlsXm2W7GlXE4gLIju3S+1qtFo8mr/7LLuBO6hV7LN1KC6/TYfxOFGdeXtiKS27oyZW59IRO0GZ+/UVRqM1qri42mX5I0Wk1E4dN64J+UiyK6fEsyoqTzY/Xm4k902lz8abJVcc+xb0+caBMceI+l2xXzqcL8p9b3IaYq/zA6R4P0sIdXXriCW2UHU2H0dy62Kw8kfEUi59Ldtxiflxdu+8Pp+x3yi7gTuoVOxZeHh3jYbyCx5lP+8aqCw51/ob6ytONd5Se0Akqdd+uKPFLjlDsUt7DVuKwaamoR4mTS6eXFSebjzOs3gxfk1zuxZsmV60y88WTEwfKFCfuc8n5xHxSCLHAN8jrWHEbYm4+0GyqcIPK+nT1pHacme5LdrHVQqmIzdK7PBjPofyxZMdtps5G8w+tqPCLLuBOqhW71gJO02GShjwdMmYvOta5G+rrTjfeUXpCJ6jUfbt5KpTzFcVNKu9hK3HYpC6Mpx1zMT2eaFlxsvkTZxhr5su9eNNkw+o+Jw6UKU7c55LzKa9Lh/UN8jpW/MCYmw80izWhUkHH2pipHWcWJ9kuO3Qpy59KdtwqrT8PrryUsqncSa1i1xqAs3Oc/3HTVOwRhyma7lUXcvqGnlpX8E2nk7BzqP5Sxdg92HRMzVuV8xVxbVOJFFfeTBx20W2OS2JmPNGyvLP5E+Vbrrl40+Sqq/ucOFCmOHGfS/YqyjqruTE9rktOyMRc5cfrB+pAlQ1iRe70ZWijufQHa02srJCxWbarrqTyQ8mOm8XtP30/H4RfyVR14sLymnQPlYqtH13JiFhROaexjqcz402JuUsv5OQNPbUul51QtfWG9FpjcjrR4jKq8gPnP7ShOGx5ZtMPipnxROOS5vLO532mejdiTXK5seD8pjodn47JYp/qwqXixH0uOZ+yi4/Z2DzWXZkd02bx3xa3bbwz2Q+r1L5qhYxlaTFVDxfIjo3mAo76ppnHlrUN9WnnG9ytlrVYSyqFqqocTTT9Z7+LOq65mNGVxMyaC2+or6s0JHfihHQOKtrk815WzNlW06zmVsQ2Y4mIz7UUh43LS/4qZTzTfC7Oey6LfD6rZZnFiks31XX7dLHPN3xq/UCZ4sR9Lt0pFowBkd2t+AlXZsf08y48v7patctrgA6vOZed/CiWzUcbl2SLRmTHNnYz/G/IVr6U8zEl/d3Ff5t2C/2ERLS96WcnYo0awdxTxpf3zL2Zr5i3s1uko52+jktvqK/LG9zsxAlpLva0qfgLxPmPuXzFuFcc46ITHy/PimT6oe2ro45bmAoin41Tms87nx9rmf4G0/69XK2K5dNBL99U26XTsY+ViP13/UCZ4sR9Lj2fsaxti/H2KC6i7DWTndAg5pIDhWQfn9p43+wwZbUbr0GzCZ2i5nRO034zXzOWW0b7kB3blGVdq4gPSFeTud+l1Sqmr9B0zteo3KP+V/afmqfmE1qx4tIb6h3GohOQEyeUzWompZ+nuczaT5NKs9/YB52i4+bmM8vniy64nFenm4oVMZ1e74WbZl11uY9vtHqgTHGiPpeeT63GanXchuuyIxb7j9MOc5ldoVYDtKp2wrFGMzqnSvH4qVQrl06S7NimLFMtfnR5VStaUnOrFVvTOV+jco9zWu4/t87FukXDzTW5oSdOSPPZTGLsc9ba8Cn5PjGnVe34UXPpi9ZYMi4oK04577OZdHl2p2JRKl0+bqqCz2YmsZFmEr44V5yoz2Xns+xLx7Wx5qrsiJ9WHQdcZXlS02GWNTIvwPEM41QyXgqVQ0/lQ3ZsU9yTLXf8TUqv65tRo+Ym39pqxdZ0ztfkrTBmZultuPIOtbmh2nsyHybrWhYtcuxyKo34guJP99G/rq017fhRM1kR5YvihOYzL+fnB6KjWB7T2YEv21R3L58baeHKgTLFifpcfj7lrZtWZje4OKHagQbZUu0x14QrxK6J6ScVReFiTX6+i8JRKSxqqlH5kB0bpYW66X6/UXNlG2qIz5Q1viH/OZkoylqNVyF7FzA17qzK61n2KD3IBXeozQ1dPyE7/vRJPe/Ist+UPLFq1bSLbW4z7WtkflbfiG8LnnnpTT81Np43KecXfZL2zI8il2wa93qeTc52LsH6gTJ+nHlF7Xyy+5Pcnlg+zftcXk+nOSlOOk6vdlbn5ZeW/iAtSow/wfaZzr8oGxOr0qsdaSeyYzO9l6r8SyuPzV/fPsxVfSP+YdnsXyQfXXmH2tzQUyeUeF+/0//Nyo/TIT74xpljzN73PS7e/C2w19VmKIBzBX7FpiPtUuyw4UA141HeUnl/4+VPiuwAAFyL7AAAXIvsAABci+wAAFyL7AAAXIvsAABci+wAAFyL7AAAXIvsAABci+wAAFyL7AAAXOs1suNfAwB4ZK+QHe8ptQAAj+o99ehXIzsAYLdePjv+/Lu/9NcBvID/C3Af/91Xed/xf9AUgLv6fwL38T8hO4B+qZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbJjs+fj4WlwOBy1oDPH4eI0iTt7tpqUOGj50lG17visBZN6fVQ7xw589Ye/3WrAt3/7V7Ug+MJEvlbKjUy54Vdt4XxwsmMr61rlsGjHjy96sw4v7E1KKlPQ8lLEQ8hr3XOyJo0etXN0z3t2ydJDyyY/rOUZrcuUG8bSb9cc2bFV2lQ77GPVmZEdL+PC7MgrXXp3ioHLHB5q5+hdMXBIwkNLJluz44djKdlxo2jFRz1B6K2TnXoisuNlWHYMlWlSL/dImMOw3ieShIgbdnx+fta6aZXaOToXo44fHihEtHwwzHy7rRhpce6rWjmyQ+TPrMZxDdlxG2+geq7s0+sPqB+QuqYB2fEyrMTPl/Ww1fgyo3ik6HdsnPOPM5omO3bCenb19TE+mLp4zw5NXsyPoWmxTPL/aZ7s2MRb7vRK0ttqR72sX8/Br5HseBkXZkfyiiOvgvm9SlepnaN3ySghRgia2ZYddoB8gGIH9eEI2XET/5in6YF1tv0MPMbPsPoPXsBl2ZGx2zNWOg8STQ/S+qh2jj3xx1ZTlgzT12aHp4+mxZeQHTezckyaehElD264Gv98W1wk7mhDdqQBYbsnH17SWbVz7En+tmKYvjY7LHzyYYcd8qtkx82Kj3mddbNHXUpXF/XGtc8Onlnt2K3Z4cOO+RnYwJYMByE7blXNjunZcy/sosiOl3Fjdvi90uTA5sajqZ1jT/K+f5i+MjuyiHAx7CA7bpZ+rnPWjskObLYhO+z2THUuC5Lso43aOfbkxnFHfdhhz7DIjlstoiJrur0YronseCHXZ0de5Wz/cdajYzqY2jn2xLND0xuyI9/d2PsP+y/ZcatFdljTJTuwmY9kn40WnGNVML07Pu8LPEbmNWrn2BOvDJqO7Piq04JzbO/sTfk47CA7bmZlmzVysgM38Q5fTn+3puWLvswguzmx6BAHStaonWNHimdOXiXkhy/ID99d02FaQHbcyoqS7EA7aXYMVWm92LVFJWHmQ2S7q51jR7wWaHrgs5P8V29rFltZYkTmkB23ssIlO9BOnh3rlcnfZYTld17F0KNIHrVz7Id18Omrbq8ViTNDj8WbclugwCA7bmWFS3agofFNR/V5VMJXjrKNki9hT6ui2jl2w/v+qYMfjC86vvpVT5VsXYVvpGlnL8qVJWTHraxwyQ7cR4xBNFP3rHFKcntiyfJrndXOsRv5F5LkvuorTz62qg47xj3IjltZ6fJ7VrgTj4GTL8wHkRXT/fHM8H0iPabaqHaOvTgVHQOvHZquWgw70nmy41bWPMkO3IuV/NnqlCWMB4ZuVjy8GteonWMnvOs/MbDw9evRsnxTbsOOaXuy41bV7MgW9GC4JrLjVVj9Ov9RxO6PHm15jsz3ysND02rn2IfFy47S4pFUYZEt2fHIjlst2vYiTHowXBPZ8So8CjS9LgmMecr5b2OpPqqdYxfORsdyXFEoV3ta6N8SjH+T0OdsFdmxgbXaLDuswLvrZru8qIdwbXYsvpsz+XDjHQD24YLoOJMdi2GJj0OWbBXZsUHZthdttwt2UWTHa1h8Nqmas2OxfbLAOwDswiXR4dmx/szK37Rr2q1khx2B7NjCSi95RlVmSR/sosiO12Alf/4R6FzryA4MLooOzwJNLy2GHbFkwX8K2bFF8cLDSrO/XrbPq3oA+RfhrrKtohIuPrvYAt537MxF0eEDi/WNTieL3n5omuzYxBvr9Mkw/bWWjthVkR0vL753RDM+p5o2/oOOwWud1iSTJg0ftXN0z276qX7f5X8bOMx9ezrK8Pg58SKd7Gggbbg+3WEn2+llvUXpNxv655K54H0uJpPRhGrdmDBpdSzCR+0cvfNUqLzI+OHku3Pjz8qnzt9HGeUvVZ14GUJ2tBDN83A4HqOpZ0+bH91wUcavy6dIkDvzovayjkhIMjuZjar2VNlM1XG4U4svaFc7R+e8259/mdZECMwrvt2TI3liFas0Y2z+1LCD7GghWuuoq+jIL810dXlvkcp5koR1Mr+4MfNm66vUztE53fdUdPIeEIkkK8rsWL4pL5EdLSRfW5o+au4A2fHi0so0VKckOtJnVtNXIIbsruRHSL6GXe0cndOdT6mTz8Lj2xePqJIFvoWm68iONo4Hb6/HvpJjYFeV6e4K3yDVpqE6pckRSZ4s0SOpQ+UfF6wfQe0cnYvnUZkpFb7qfw9uwVE8kBoWJ8MOP8bJYYePTKYtyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caO01suMz737kJwG8gP8lcB//hXefUY9+tc3Z8d47AMBje089+tU2Z8en3n3vpwG8gH83cB//pnefUo9+Nd53AG/dvwLcx/+Ud+VAv9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojezY7Pl4eBocDkct6Md0ac9agJaeh9JdVpqz9enZVhcOWhcqh1A7xw781Gc/Yrf/Ix/5KS2YffYjseqzy1Wzn/rsZ2P/z2pBZjr6uJbs2OpoBRk662LTPor0aC/6d81MztenZIuZ1pksW7SM7NiNn9KdN0V6/JT3+qGaC+anPDhksVV69KdYRHZs5B3ApKceNr+yri7tLbBBx6DMjgvq05nsqB8hmjm6l8SDScMj6/efPqKlhXyjcqv86HFwsmObaKjHYzwk6KmHjU+vw5WNl6blaGLs4YvsuKg+2U1J2KbzYXSE54GtITv2Jbr+zw7UzWv5IFZ9ZFjlEyvhEevm/bORSyz77E8NbD3ZcQP/CKiHyj69eATxsCw71PHEB91+Lu31adAxyEt1U31K9lF0zK85puzxVo7uWUCou4+ImBPC52JdPLzKYmE0LB9fhvhGacL4gvkxljYjO7bwz+Z5s+1n4JFcSoxBNIObjWO64f+ycNhUnzxjNB1HqO0TzRzdSxIhBhqaiY5f07GqOvBIX3Fku2inZeCQHVtkzTYae5+fzjuLxddmpTlUlEV2bKpPttWUN3aA6n1SO8eeZKMLm07GDOmqNT5ymTda2YXs2MIKM2mpRdPviF8Z2dHKUJjW2y+yoyjli+qTjzQ07TP1tFE7x56kfb9NpwMNW7X6u1aSB4zN1YYqZMcGWbM1Nt9lD0t2NKX+vcyOTfUpG5zYEes7qJ1jT9LssDFImhVlltTk2WF7VIYdZMcW1bY+v6fsiF8p2dHYRdlxrj7ZNtOdsRlNFtTOsSdp31/LjuRdRlWeHWs7kB0bWNvPmnb26LknjDvuocyOLfUpG3ZY+KQHTKidY0/ScYdNxlTwXND0mixf1h5ZkR1bLJp21pB74tmhabRSZseW+mQ3ZtpnET4ztXPsSdL3L6IiH1NU5ZvYwaovSMiODRZtvewMumGViOxo7Wx2nK9PtsV8Y5Qdz770KftCLLVz7IlXg5hcDjNswcns8F3mkYayQ19ZknzXFdmxgZVh9iDnfFt/TLzuuIuyuixK+Xx9yuPG5yI4wrxK7Rw7ko4brMfPnzglKwv2Z+NjRGjRwF+YxNIwpgfZsYEV4C6ywy6UYUdzt2eH54SmB5YduWlvtXPsiNcATV+RHXM+ZN+2638sktHxyI4NrPz2kB3eQzHsaO727LCwSDYYs8O+zUrfiDWOPKKZY0c8A8be/4rsmEMi+xL2cbF9m5W+7CpWkx0bWPHtIDv8iVWHkfjqbs8O2yN5q2GzQ3Bozu/bOCrxVo4dyV9XbBp3DOZ9fHYaifjRY1BDdmxgpbeD7PAPsNl1oombs6MYdpQH8PBQtHgrx4740GAKhyuyQzS2mHYqtvfw8IEH2bGBlV7yqa/T7CA67qWWHVfVp3IHu1XlvPb39o79yKMjBhOaDvn6mvi23TE8bKZ8huXryI4NyqbaZXbYNeVXiUbK6nJtffJbo2lXHiDZ35s7dsOzIunqfZig6WALTmeHnlNpusyOaSRDdmxQbeuddbO87Lifi7LjRH1a3BqyAyF/2TGoZ4cmV6UJRHa0ZE31ZNt9fETHHdWy44r6ZLvnvzlNdsAtoiOWpMOMZZjU2EY6DtnRUtn2y3eVj4/ouKey/lxZnxZRc+qA3tyxD8voWD6imrr+k5IDlTuQHbewppl+8POeVtNdIDruqtbVX16ffG0+KikPYPPawps7dqEWHZ4C6bChHEbUJUeyrEgHKjbvByA7trDSTFpv2XQfHdFxX2V2XFeflsOOOIAmjc2SHXtTjY5F12+zl2XHuJVNa9JMq8iOLYrma6XZ0SMrouPOFtlxVX2ytfmwozyA30AdwJs7dqAeHbE4/53d5UYlD5xxp+mXct18PLJjC/9gOLVfa7g9DTvscnq6njdnkR0n6pPlQJYU1drmB5jixmbG43t7xw7YXa+9BM+We88/DTuGVPiIEiILFN9q2icLEj9cbEt2bOINWE3apzsadvR2PW/PIjtO1CebyaLC5vOdjW8WO/moYzqAt3L0z0YH2UvxUYxHYk1M++TAQ0FBMm8zRsf8YMtnkwNomuzYJNrn4XDUN18vG/PD8guyC5sRJI08R3lGUrhxhS2p1iefTW6Ar9d0QruN+897eCtH9zwHPvLZ1BgFniq+LqbG5donpn1NHECTsdzEElvnE+MByI5torGPOoqO6KxyPV3eq/LQyIx9/Gp98vkkO+wQtfuRH3reIZo5eqcbn5p6/4iM0RQdWXbk22TRsXYAsmOj56SxZs+jH52uKUV2NLKeHav1yRdoeuDDimp904DDJVmjdo7O6c6n5u5f4wUzPZga+OLx0ZQGJZJsZZIDzKvIjs2OB2/u03OHTiz7t76y8TWl/XvQClOvTzYgSaLAZteiPJ6FHfJHjGrn6Fw5bhjMLyz+Ff3DGx/J/lEn3ykdX3z2I9WtXOUAZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtPYa2fF97/7CXwTwAv5LwH38x959n3r0q23OjvfeAQAe23vq0a/GuAN46/7rwH38J15h3MH7DuCF/L+B+/if864c6JfaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdmz0fD0+Dw+GoBf14Ph57vbS34HmoONWSvbBKre4/rPL9nzU3UDvHXnx+qACaLH3MKsfnNVPzM5/3TT623GZck64iO7by3jWkbbUDz8mlrfVR2C7yQTMJ7/dHWlaztr/xfdOVaufYh5/x+/8zmstZqqyuHPyMx0P4mJaFdM28iuzYyBvwpKfwyLqw1U4KG9mgoVqsF9ao1f2NUp/s2KmT8RDrVrMjYmeUhke+ZlpFdmwTDfh4jIcMXYVHXFCXl/YGjAmx6PtVo54HVvJrpb66vxljn+zYpamPr8bDOHZYyY7Y+fM/8zPj4yktz9ZENmkV2bGJf77T45x4NRDTPbArU8/lHVVHl/bqNGgYlKXqK+YHhCvRsb6/s7X+P80PopljBzToGNTiwRLAQ2ElO2zVx7TOt5vebPhxx718VUySHVv457upoXt77ufTefqKwy9N07hZjAv8FxGKvt/XnK1D6/s7W12ujGaO/sVowQcJtXiw1R4Q9ezIAsI3ngYe+U42F7FCdmzhQw1ND4qPeh3xC+0nFl+bleZQUSp9/2XlvL6/s9XlSm/l6N/Y+es/JVv9+RPZYWvm36HyBKpMD+ZYITu2sNJMWnoRJR257OMwLjQUpg3qln2/lXMtDQqr+ztb/Ex27NQQDv7Iabj9tXgYlg49/spKBUSyxhJCUWKpM7/8SGbJjg28R9W0s/kue1iyoyl16su+P7r9s1b3N8ofsmOfPq+uf7j9lXiwLBiW1lcOisFFGhiV7OCZ1WbV7EjeEvSD7LiHZd9vxazJC9SzQ/lDduybVaVlPAwLrf+vrxwUAeHzY5YkkwObi0OQHRtY88yiwl54dJkddqV9Po17TYu+X0OGSy32N3aMygMtb+XYj+H2L+PBX5QPqitNmR3pOCR7cZ6sIDs2WERFry/LGXbcxaLvtwVXfPaoZofVQfsv2bFvw+1fxIN1+P6cqbbSldmRbuljEK1M34uQHRsssqPamB+fR0ePmfjK1rJDXwZz9lvEatVtHHaQHTtnNaiMh3HYcTo7kgdT+Za2e8z5ZuNismMDK8Ds03itMT8y++PmsSPTIrSzqC7+YSTKO5xOj1p1s718olipdo69sIpQxIP1+PF6u7IypOMJl81HeHzMk2NeSnZsYCXYc3bMvdj4B+ZoaVFdLDtyJ2tTpbrZorhXxUq1c+yF1Z4iHoYleuRUWSm2Jn1olW8ZqWHGPz0fkB0bWBn2nB1zV8aXsN/DanbYt1npa8ROFfyyuiUv28mOfbPKk8eDjRq0ZLly5EOL/I14tmUMPdLoIDu2sELcx7hj0NF1vRWL6uIFPY3x/DXTqd9uW1Y3yxvtTnbsm9WdLB4sB8ZQWKyc2aqnjyXfeJhumXwJ+zw4ITs2sCLsOTtEn4AJj9aq2ZFUKA+PEwOPxf7Ti/IB2bFvVneyeLBuX5OnsiOGGplpywiT+H7deTHZsYEVYNa0+8yOoU/y9CA8GltUFyvmtELZ/IlSr2aPJsmOnbO6kMbD/KJ8UK5MZf/AkyeJVsTzKj9GbKKhB9mxQdnUu80OPU3RNBo5mx1n6lO52oYd07CF7Ni34fZn8TB09/NjpnJl7vMf82z42OeHTWxCi32h9oqA4TtJNqtmR7agG3ZlnV7a61lEw43Zkc0WK72VYz+G25/Ggw075tli5brkJYk/sJp38vDwKbJjg8UjhUWY9MNqyoluDBs0zg6fPY68ctpErPRWjv0Ybn8aDzb7+ck4dzY/LDv0pMv2Sbb3p1m+iuzYYNG0rTizl+f9sEsjO9pa1J9ywWKDXLHaZitipbd37Ifd+iI7lqYXIGvm4Ur25sPYwMOHJGTHBt5YNW3892I03Ru7NLKjrUU0lBXK5k+MY4v9fe+l+DDjzR37Ybf+bHbMb0BW2EYxZSmSbT4tIDu2sJJN2nbZ9HtSXCoaKPr+QVGBzhR6sX/8PUhJG3hzx37YvU+yw19PLCQbVFk+aGxCdrRVvPAY5np9ZOWx2Om1vZplduQVysPgRKEv908UK725Yz+s7qxGw8mVM39Ope0sKrJnVlOukB1beI86fTC0ht/PsCPrleIjrWbQyLLv9wo1pYXNjOvtDpRDELIDq6zyXJodw6Ak/ZKR0fw63GQzaa6QHZt4XKhJ+3Q/H82HizmMVxPRwSOrxip9vxd0FHsU+ngLfEbTI7IDq6y+XJgdPqRQLPzMx6Z88MXzUCP5i46BRwe/o3uDaN8H+13ImNLyDvj1xG95alIrcLNnK9X4NdqnmNQK7/Gj1H0iH4NMc+v7z8iOnfJfwo1fw/2YT1USxFYW2aF3GTbtu+kFybxVpMWwzr7qKtbGSrJjmwiPUU/dq3dMCaKjnbJsk4zIV02L8+w4sf+E7Nin6OJT2RvuYIvXs2OWPclaHFkryY6N4queQl8PdfQViLLsnLDZqb5fAw6XFLrPa5rswKqt2TE+s7LpUfJ6w2TfdDXnCtmx2fHgTbn23ODR6dIO/NNPbaX5ELTCRWgXhW4D3GnB6f1DtgPZsR9RIRJFAhh7Oa5Jk82m32a1oJVP6ZMwsgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWnuN7PjUu+/9NIAX8O8F7uPf8u5T6tGvtjk73nsHAHhs76lHv9rm7PjMux/5SQAv4P8I3Md/+d1n1KNfjfcdwFv3/wHu43/Fu3KgX2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3s2Oz5eHgaHA5HLejNs1/es+bQxPEQtaZeaY7DKk3W+K6J9N5M1TG/YWrn2LcvfuITVju++LOaX/WzX/QNP/GJL2pBqC0mO7ayZi6d9q+6OM2hgbTzX6aHh3UWCAVfn5gPEbuGrDqqnWPPvqiaYU6mx89qI6dlJjnAJ6YDkB0b5R8BewwPhSPZ0UzawQ/KklWBb8mOYkCSHELtHDvmQ4bJifBY27C+nOzYJhrr8RgPCnoMj7GjIzua8bpyGCqNUiIbeUzBcjo7fPeRFmtfW6LqqOUDtXPsVzxt+uLP/uzPxvBhNTwiImxDf0Q1baflX4znVtMKsmMTb/xquj7dXw9rvZD/T/O42VCcKs3n6OOTmFCcDM5khyYzlh3aLY4zbxXNHPvlgaHXFPFMKqYXPBnm9xlTdKQH8OlPxDTZsYV/zssfGPQ28LBL9M/HZEczx6QsvdLMAw+fPXi92pAdHyQ7xRhEM2QHrDqot1d41Acea6t8+RQpHjCxFdmxhX+40/TAGn5vXaxfIdlxN97FT2XrFWro//WfNekuq/KPMt7KsV8+UtD0wPr+5HelErZdLVUqB4goIju2sNJMmngRJT2wS3omO+7I6kyaHf7bUbbw1uwYcyh4K8d+zX2981GEpjO2ItluZjskmTJHCdmxgX9m1LSz+RNN/vHYFQ69FNlxP1ZnkuyI6mMLyQ40VA40rHasDS9qyxdhMx2A7Nigmh3ZL808Out/hu6H7Lif6oNOq0i3ZofXTrIDwWpDmgk2X3toZcs1malmhx+A7NjAutQsKqwf6Ck7rPux6yE77mco2vtkB+MOJKw2pNmx8sJj9ZGVjUey7acDkB0bLKKit5fldj32X7LjfoaiXX7esIVNskPTZMfuWW1Is8OyoBISi4gYLbJmeoFCdmywyI7O+thx2EF23I/38Fuy49lpQY0dg+yAWG1I+/7T2aE/H0y+tmqRHdMByI4NrHSz1ttZH2vX5xNkx93Uh6pW8qezY3Jc2S5/3UF27N00TJCV7PCIiOAIY17YdPYOney4hRVnx9lhVxOXR3bci5XscthxTXbUdje+StMDb+7YL8+DpPM/kR05bWSTZEczVpz9Zod9cNXFkB33YlWoUrK2+OLsqG7qoZQs9+aO/fLfk5p7f8+IE9nhX3sVMzHysCmyoxkrzn6zw56m6OrIjjuxMq71/CuLR+OLjudnj4jKvfEnVulib+7YMR94RCaMX2ZYyQ5fPv3zHhE4PmkTZEczVpzdZsf0onxAdtzHoocf2fIT2ZGIb1NcPLZahJI3d+zZ6uOolC1OIsLDwwcexQqy4zZWnFmr7amPtYvTJNlxH6vRcUV2xLbJiw23HM94c8euxcgjfMJmst+bChYw6WKb94SwnbLtyY5bWAvtNTusX5s6H7LjLoZSXfT6wVZcmh12c4qNfVE+FvHmjn1L/8XYC7NjSohyBdlxk2p2LB4fPKbhSua0IDvuYTk4mKyvWfLRS7ZxbTzjzR0YWRZkz6DCddnhC8iODazxZ010ESYPy9PC/0064xdqE1qLBk5Ex1XZ4Rund6b6KMybOzCyLNBk6mR2+MRo2pLs2GDxcXyYv7zJv2n+1GNJa3G7U9FxU3bU36J4cwdGQyXJokCmrJBpvlwxvzwnOzbwDlbTxlutph/cSnb0EYxvwcnouD475o3r0UF2IDM9cSrY8nQ8Mm1Xrpi/V5fs2MKKL/nEV2bJA/MeaGHZJWGb09FxVXbktW4lOsgOZKyaaDJXrLDZyJh5ys1ZQnZs4e8BND2w0rz40+Ijse6J3GjoTHRcVZOySrgWHWQHUou3F5N8jY8u4pV6scu8guzYwj/yTQMP7xA03Reyo6283lTY+jw7LBSqe3itm9bYTLUOeisHnOVAMroYZj8x/s6VjyemX8CyGQWGr5gGHskRyI5N0oZ77rPkAyM7mlodHEyWVcmWKBSOyXfnxp+VT8dar4PRzLFfn5i/acQ7/vn5U54KNqPwyL8DK93Lp7WC7NgkXgsc7PdXY0rLO0N2NOVVxX7leaY1H2jWNohfkR6DwPeJmXntwbNivjXJfqNx/2jm2C+rG18cfML7/fTxk2fHNO9zT58YtvSJeQwSSfKJac24B9mxTYTHqNf+lexoyXv4grr4vDqZsdh9JsmOxHxntCA1rlQ7x26pQkjy1rvIjhhTTKboGMNjNO1AdmwUDw3CqSfYD43saGl7dmg6O8AhqXValCI7ENJImN5uOM+OJEw04HDZhvGwK8zbkx2b6clBz390bV3a+PADt1oGxPx6W7OzsVblt+DZ/9TfgiOrdcnnmNG4Xu0c+5V+m1VuWJ48whpoy+kNyURPvL6YHoLsADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWXic7/tJfB/AC/q/Affz3XyE73nsHAHhs76lHvxrZAQC79fLZwTMr4IX8P4D7+B/zrhzo1z8G7uN/T3YA/VI7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkx2bPx8PT4HA4akEnnu2qEgctx11N1elZCzIXVLZxk3wLtXPgH3+31Y8f00zFX/kx3+K7v/uvaMGkuobs2OpohRnqzf1RJRcWtBx3lAb2sjplca5lhWcPjpCmvdo58GNROxbBIH8lVrs8PVbWkB0bJU110FN4kB0vL69NZXW6oK7lg8UkPNTOAVWOlezwgcUs2WptDdmxTTTn4zGeE3QVHpYdw4VNesrFNyp6fitsVSctD6przwNbX7sfOoC2SMND7Ry7N0ZAPTtibPFjA22n5SfWkB2b+GdzPVj26Y5eCtj1kBcvyrp+FXmM+tLq5GEwv8So3hrfR2vy7dXOsXcWAd75r2eH1sSzre+OmRNryI4t/GPe1Dy9sfbT25IdLy8p8BhCaGbg82fuhwfOtI3Vxyl81M6xd5Yb/tiqnh3/OFkeIw3NrK8hO7bwtqrpQdZYHx7Z8bqKjyL5XJ1tk4xMbFbTZAecDRl+7FR2pNbHJ+kasmMLK8CkPRdR8uDIjteVDyIsCM59LimHJpY+Y5REM8feDVXiu+N1+QXZ4c+mqtula8iODbIPdsbmu+luyY7XlWfHJXejrI+2z5g30cyxczZeGLp8qyhkx2uqZsf8zODBkR2vKx9F2IwmV6VZYTx9NB3NHDs3VAh7xW0V44Ls8Nca1e3SNWTHBtY2s6hIHxI8PLLjdXnPP94AC5Kzr9LK7Eg/20Qzx775i/KBVYwLsoNxx90soqKrl+Vkx+vy7NC0z5z9VFJmR/oMNZo5ds1GC/5dJFYxLs0OTefSNWTHBovsWDTeR+bdlf0hGgHyKqx1ltnxbP8d6lg9Rnylpp3Nkx0YjcOOS7PDNqtnR7qG7NjAyi/rWLvLjlFv3/P4APLXHf4xJb0jtRuS7zJI5tXOsWM2WIivQLSKcT47LnvdQXZsYQW4j+wYLiu7UNydl7qmIztytXpWLrd5sgMy1Ab9LbhVjPPZYVudH3aQHVtYAe4lOzq6sIfgpT9XrjE75q+qqo08fMV0n3wYQnZA9Pu5xirG2ey47E052bGJlWC/2fHB+KZj7KyyS8Vdeb+fVCW/AdPXUUYqaCblyw8eMGP0kx1w9pxp/AoqqxjnssOfS407ZIo1ZMcGVoQdZ0ciOiLN4P48rZO6Vcx6eFQGHhEqGbIDbnpRPrCKcS47bPv6RsUasmMDK8KsAXebHREevDB/KWV0+IK0+G2+VtPSf/rpyZNEK9TOsVfzi/KBVYwz2XFxdJAdW5QNuuPs8Jzs9NLenmVSl1VtvaYdDx4fB3vAZRNarHaOvRp6/Pkxk1WM09nhrzSq/y7tYg3ZsUE1O7IF/bBrJTteRvmyY3B5diTsOONGaufYKevx57QYZk5nx8UvOwZkxwaL/nQRJv3wj8Kaxl1VomN7dow7qZ1jp6xO2b/5F8a5tfy4JjrIji0WDdjKNX1K3RGy46XUomNR1S7KDttorI5q59gpq1RL1YdSV0YH2bFF2Z96q9d0by7qrHC7anQsqprNnx3hpvuonWOnrC4sVfPhyuggOzaxkkxacNnAe1JcKu6kHh15Dgxs9tztyPJF7Rw75b8ctVB9ZnVldJAdmxQvPKxkO31k5V1ap9f2lqxFR1HVLrkd+TZq58DAqkaTdx2G7NjCBxrTRztr3p0OO7wf6nVI9ZaslrNXtSkJbGZMkqHa1b5szG/ZPDRROwcGVjeS7LDf351mbd0F32I1Izs28bhQA/Xpfj6ap9+d6x0Xw477O1GHklsQSa7N0s8vz/M9i1ummYHaOTCwujFnR/YXG5f/TeCI7NgkWvHhcNTXB9WeNjyo6cL0bVZEx/15JfIyn0ylrgo2LPKJ6XbEPvP0yi1TOwcGVjmK7NCzqJj2X+QdacPVNWTHNhEeo46iIz7nJoiO+1NRp+YqpTyQPFOS7JhlT7K8lQPOqkc9O2yycG4N2bFR+gVC80OeDmTfjDR/hSvuSIWdSj6OpMkw3w5fOj6z8nWS10Zv5YCz+lFkh55Z2WSB7LgbfYHQsavkcLqy4dJIjheRDy1cVqviWZR/VdVsWDYHTPptVhlv5YDLvtwqm/WXGjmlyuoasgPomLdyoD2yA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtPYa2fGZdz/ykwBewP8JuI//xrvPqEe/2ubseO8dAOCxvace/Wqbs+NT77730wBewL8BuI9/3btPqUe/Gu87gLfuvw3cx3+Gd+VAv9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojezY7Pl4eBocDkct6Evnl/dajirW47MWjKbyLlfkjgftr/lZ/YapnWP3fuBbnp6+R9MnfM9QhzSZ+4HvGQ7w9PQt3zIehOzY6mgFGc4090f0rEtzWoabRfceslqTlveJ6pTs/pSnx3O66qCFA7Vz7F10/JpZ9QNef35Ac4lYIbGI7NgobapPT72FR99X92ryYk3KdXVFJgv0LCHWV0Uzx87ZoGNwLjts0DFYZkfsPor1ZMc20diPegLRW/eqq3se2AWSHW3EUPUw1BqfmHv46PmH5WN10vKCr7Tdtf888tAB7H7ph2gF2YHB2PWfzo5pbLHIjtj/e35gYE+uyI4beANV0/Xp9DPgw/M+KumY9F/caKgp48uI6OzHkrU5TRddf2a4L1qhJ1TTnfG9xjlfp2myA+OgY3AyOzToGJTZ4fvP70q0muzYwlv+1Ll6W+2og/Wr6+h63oxj8iYjr0JJcUeqaCZ3TCIlz3ebmQ+Rropmjh2L4cT3WDScyg4PiG/xjYvsqC0bkB1b+Mc8TQ+sHXc08LCLIzruzUq5Wmku+yjiETPu7zOaHqT1Ue0c+2WVYwiNM9nho44hIPSfVGWRITu2sMJMWncRJQ/OOqKOkvCtWv3AkT1/WmdbjfvbLsmx0lm1c+zXUBvsedP57PgWC4hhqyIobNhR25Hs2KD4mNfZJ3XreRh23N2ds4NnVhB1/GezIxLD6lWeHbZjZdhBdmxRzY7p2fOjKy8Od7GaHV67zmdHtr/toslBegC1c+zemewYWeXJk8KWaDJDdmyQfq5z1o57yQ4eWb0Ma5HVOrNh3JEHSfbRRu0cu7c1O9YeWZEdWyyiYvUz5ANaBCPuYb3KeHZo+gTbarpPvo8Ol49b1M6xe1uzw/arfpcJ2bHBIjus6XaWHc/eHdW+NwkNWBVaGVx4uWt6nd+e+eb48fyAvmI+sto5du/G7PgB++9whDlGyI4NrAyzdt9TdngwRnAE0qOl8W/1B/Xo2PK6YxCHPMSNS3ZXO8fubc0O+7sP/+OQ0ZgeZMcGVoBdZ0eulyt7C1Sk1strScnXanqdZ0R2iDnus+9SVDvH7t2SHTkdhezYwMqv++zwL0eKGUYerfigIiy+hD14BNRXpWyrssbpzuVfwxvNHLg1O+zbrOJr2DXyIDs2sOLrNjvs4uaOLTo7zeBmXpyjSkR4eZ+vSh4T+e7Jl7Cn+3srBzZnhy0YgkNz8QUnPkl2bGCl13V2JBfnnRkDj7b0iwiV8KiEQkUlYeKIy6919lYO3JQdyQIPDx94kB0bWOktnjX3kh3W+6QXZ/O9XNsbEn19mRKbo8N39NsW6TGt9fYO3PauXNPG5v04ZMcGZffadXb0dG1viYdHVovqyypsq/w5Ypo58fBqPIo3d6BZdkzHITs2qGbH+Sb/GMiOFzKUa5EAm192eObMS3wDTXtzB8iON8HaZtbEF2HywMiOF1J0+DdEx6l3VN7cAbLjTVh0p1beeWt+XOXFkR13UmbH9ujwPTXtkg833tyBzdlR7kd23MJbvabNou0+svLibL6XMdWbUmTH9ujwI2V7Jgu8uQM3ZUf6Pbo2z+9ZbWalmfSnZXf72IqLsVmy4w7yWnNDdJAduMDW7PAlmjQ2S3ZsljwTMFaaZXt+XPnFeZ/Wz8W9IVawUznfEh3Lzy62gPcdyGzOjumXct38j5eTHVt4Y50+jHuD1nQH/OKm/slmzvdpuMAx6/W91kx1yGaqdchCZdoqr3ezYnGa997egVp2DKnwLXlO1LLDH1pNi2wmDkN2bJI2/PpnwQdm16ML8l6oq4t7RcloQLVmSov1OpRutjo4yXMobppmvJUDlezwUEh/hcrYsiJPbJGWxVeSxDTZsUk0z8PhqG8r7+qTuS5pvDaioxEV51Cu5VeH+Bor8Nm4Kt3Op7VeYoWq47DX4gvevZVjz37ge5w9enqKSa3w7JjiJFbFMp+aEsSX+UKfGKOF7NgmWuuos4c66tmE6GgkrzODqWQ1nxqrlM/EhsqejA6xfuho5tgxD42MOv8sO2JEkZoHKfkRxkwhOzZKvra09gT6saW9FNHRzPgViCH5wKElqSw7YvJEdmTVcdh5vmlq59iv09kxDkJOZYdGHmEajpAdmx0P3l7H5wZ9iScfh5V/ZAJb6ZHSIf+nn7KOP4zrbUShm7AYXAxijVN9HCpketPUzrFfaccftMLflWtSbzVS2ZuQeOT1LfODLLID6JraOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1p7jez4vnd/4S8CeAH/QeA+/h3vvk89+tU2Z8d77wAAj+099ehXY9wBvHX/VeA+/uOvMO7gfQfwQv5fwH38z3hXDvRL7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIjpscn56eNNmV5+NhuLKnw+GoBWjoeSjcRcFORf6sBRW+RaLctHLb1M6xF58bKoAmE5/76EetZnz0cz+tBQs/besTH9XyyU9/Lg7x0c9pAdlxg2cv5BNt/VFZJMqprgybRP+uGYmqFNaLXBtM8gBKjzF9olE7xz5EApQBYXkyWUmPbBuj5ZJFSywiO7ZTD9tf55p/vCU8mrJBxyDPjmJAsVbkWj3JsqN+16KZYx8UAEU8+HhhVg+P09mRHyKOQHZsNX3K665vjU7oeIwHIIRHU2MPn2VH1KWhxMci1/LSsOZgW4202OmuPQ/sKGTH/kxjgzwdxqdVP62nTvXwsOz4XCLbKPazQ/gxyI6bzI91euta/crULfl08XgF22nQMVhkh6pR1KuVIl9fE9Exh8lUKb2VYw/mkUMeDrZkfHvh8TK+sMjY3tVQGXh0zHtpM7JjG2+qB/+82Fl2+DVNnZBfZ2/p+GrG8cXwf3kGJEUc22imsNhvsloTo5mjfzG88HDIMsBCYX7x7QGj6cyJ7Fge05Edm/inw6Gp6j898UvT9MDCY+2zLq5kRTsU5jI7Uifien2/1X3UztE7D4Whg9d/ZpYpyZhhsV5OZMfKLmTHJkPr99+GsVLtLDuKSyqiBLcYitJGdKezw0v8yuywYUd9jdo5ejf0/R+1Dt5qT9bRFwsW62U9OyxuFr+xOyA7NjmqcduN6Cs7/OGHpl1/l/h61L+3zw7bp76L2jl69zn1/FZ7zmWHJjPr2bG2huy4id2IHWRH9gs9uNXp7Fh9dXEiO2wXTRbUzrEXVhWynt66/vmZlc3VBhEnssOOqMkM2XETK9a+ssP6tSwq7PE72dFU83HH+iMrsmNvrPZkGZC/4cjffiRWs2PtkRXZcRu7LX1lxyIqeFne3AXZoenC2n6LwJ+pnWMvrPbkGWBLxkUWHdUgWM+OfNySIDtuYnel8+w43dFhg9NFanXqRHbYH/89F3VO2fHssfOUfQmZ2jn2wmpAngE+8PDE+On16IiIsD/+KwNE2fHT9t9h7zlGyI6bWGn2lR2LKyI7mjtZpCded0SsyDHZxgM/giPM6aF2jr2w2190/xEeT/ouQy0sRTSEJCD0lCtdO64kO25iRUl24Doni9RuwMqwI8uONCAsO3LT4dXOsRd298uhg483QvXpk0nTYUiP+RDzviPFD9lxEytJsgPXOVWkPnpYq1K2LjVuN2aHfZuVvhJrDJZo5tgNu/lldkxDj/XoKLIjGZ+M2ZF8IVYchey4iRUk2YHrnChSf2K1Wtzji44hIWy7aUOfmR5i+THGoYu3cuyH3ftFdiTBsMwVGd90lN+Y6DPTVyNGCPkk2XETK0eyA9c5UaQ+aLikRsW3Kmp0Uezk4aFV3sqxH3bvi3yIR1YfVYCsvfBIxJaascnkgB4ePvAgO25i5dhfdswP0gdkR3PrRXpxdAxsU40ubLf0ptm8foC3d+yH1Yo8O7y39xcYenJVREuFh4eeb1nwpI+6bN7zh+y4iRVxX9lRdkNkR3urRWor8tI/wTeOylfetOQHeHPHflityMIhokMz2YjihGSfMjvsEGTH7ayId5Adl3ZnuMhadpx+2VFKfpmX7MDIakWWHbZgfk41P3I6aRpckB33Yjeiv+zIuq9FmOBWK9lxXXSkjxfJDoysVqTZMXX1YlFwfuDh45OYJDvuw0q4r+xY9Gv9XeKrq2fHtdGRZEd5QLJjv6xWpNlRdv0+8Dj7xiPJjjJ8yI42rIT7y470T9O8R9M02qhmx9XRkVS+8qbZvMYh3tyxH1YV0mgo55cLapLASGLE2byHEdlxEyvWzj6U2yUlzz/Kbgm3q2XH9dGR3plk0tgs2bFPdu9vzw7baByt2LQmzbSK7LiJlWNn2VG88OjwCl9dJTuuj47sRuU3zQ+mm+bNHfth977MjvSZVRkFVdmDreS9+WBeRXbcxMqxs57VP85OAw/rlBh2NFbJDivmajlbDiTDwJnfmXGN37SpItrMeHxv79gPu/lpdpSPnNIkGKaTL66aeT5MO/kRps1sJvYnO25iBdnbp/K0U/Jphh2NLbNjvZxthULlmHx3bvxZ+XwQ3yzW+qhjOpi3cuyH3fw0DzwH5oSw6BjHIR4Kmk6/O9eXJwdJZiNVYprs2OYYrCAPPtVPBxt9z8EuK6a0HDd79qoS31YYk7E8qUejsT7ZGgXBvNXBj5DeGd2qYZ1PzDnkrRw78Llgd/+jPqXO39PiaZj96Z/WV6mPw47YNqZ90veL7dP80V7DOp8YV5Edm0T/muqoh80vjuhoJ7r8VPTxmkmNxe4zSXYksjuTH3qKDrJjL2JEkEqeTGXG5YvsSCXRUR5hXEV2bNJ1duiBSKg+a8c2W7ND01l4ZP864CBdOUcH2bEX69mhccOoeDal2eSf+BhMX5sr6RGmVWTHNirHWV99rJ6KjM9U0EY5chhTYZkpU32yTylzFIz/Osehdmdi3SF/fKp2ju55xUjNITF9r/pHP5csjHflmhx87qOx0fS0K6V/dDBdRXYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGuvkR2feve9nwbwAv49wH38m999Sj361TZnx3vvAACP7T316FfbnB2fefcjPwngBfzzwH38F999Rj361XjfAbx1/xC4j/8F78qBfqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWy4ybHp6cnTXan52t7Xc+Hp6ejpt0wv/CsdaXjwbc+1tc/27pDsk7tHHvxhaECaHL2hS983CrGx7/wNS1YV93/H35NB/j4F7RgQHbcwBvqaiN/bD1f2yvzvv+gGedlXcjCZWKBPqrdnFiTHFztHPvwNb//RUJEvx8+fjo9qvv/w68lB3j6uBaSHTdQO+6yf+352l6XDToG27IjH6As745uG9mxUzZoGOR9f9rxD06FR3V/BcpkDA+yY6v4YD7osH/t+dpe2dj7Z9nxfMzZBrWijxHL8fn5OUKi3Ga8b2THLk19fNb3Rx58/AtfUDBM44aF+v5a/IWvfe1rOoSOQHZspE94g/76156v7XVp0DHIsqPg5a/plC/XeCRiIqYndnT/n+YH0cyxA8qGQZkd41uK+hOp0cr+sXxc5IOYmCQ7tolPgN6Au+tfe7621xUdvo8rTmWHb6TplC2f9qvcH1tUHjyaOfoXL7M9HvLsSF5x+NrkdXdqbf9/mC+xuTgC2bGJfwIcGq7+05Wer+2VWZEO/fqZ7PBU0HTKb4ymBxbxecL4erJjn8bRgf6zwtbWH1qt7u9poumBRUwcgezYZGig/ouQVqwdZke31/bKhhK13v5MdixDIRRPoxYRY4d9Jjt2yh5NWZ9vtWI9O+aev7S6v4VKsss8S3ZsclSvagXdX3b0e22vTJ366eyoPIwKZaYU29l+w1HJjn36gnp8qxXbsmNl/0p28MyqASvoXvvXnq/tdZ3OjtW15Q2x+SRLbL9hNdmxb1YrtmTHaLm/LdHkYF5PdtzECpLswHVOZsfqsGNxQ/JxiO1XeSDmrRz7YbVkPTts7cq7clnun+VN8vaD7LiJFSTZgeuczA5bWXtTvrwh+WEsSey/ZMe+WS1ZzY7zw47K/vaUatwr/TUssuMmVpJkB65zMjus2GtvypdrssOMww6yY+eslqxlh0XHerCEyia+my/0GBnXkh03saIkO3CdU9nhj6w0XSh+zyo/zLQb2bFvVhEW8fA1+6PwOQJOqW0Te37ck2NeSXbcxMqS7MB1TmWHlXp92OG7pXckPYxNxyqyY9+skpR9vy1z6dfgrrDNFvkSqWGSPzQkO25ipUl24DonsmP9TbnWzSttGDIexlZpkuzYN6sVRd/vLynC+S9ht60qG8XQI40OsuM2VpxkB65zIjts1cojK6188q9CPHpyTIexOd0rsmPfrFaUfb8tm5xJj+omyZewz6/ayY6bWGGSHbjOenacGnYMFBiJOIztNj7oIjv2zWpFPR6+pidPp8OjtkXsOP4zIONasuMmVpRkB66znh0+stB0ja+Xg81EYtisTwzIjn2zurCaDsXb7prKBp4Z/qZEL819KdlxGytJsgPXWc8OK/OVN+XhOR5WHQ7DVlN22LBjulNkx75Z9VgPBw+Pky/Ml/t7YGhRPLziO0kasIIkO3Cd1eywFZeX+fSSIzsc2bFvVoVODCxsdeXfI58t9ve4mZd4ePgU2XETK0eyA9dZzQ4r8pPDjoxlh/3XD6d/cTBeovucb0N27I3VoRPZUSTB0mJ9scB/acsHHmTHTawcyQ5cZy07zrwpL41H8dHKkm9DduyN3fqW2VH88x0x8PA3HmTHTaxcyQ5cZy07/FWGps+zo/jgYiU74t55c8d+2K1vmR22Q/YVWNMCsuMmVtBkB66zkh3XDzsiaHy/Bf0Ab+7YD7v357JD01Xl/mTHnVhBkx24zkp2+PhB0+f5ew1Np4qDe3PHflglOpEdtjqLglK5/yJsbAHvO25n5Up24Dr17PDhw+JNuS2tvT5ffb5Fduyb1Yu870/nkl+xHQxz6ZeMuHJ/X5D8Vu/8Lexkx02sHMkOXKeeHT7sWBS4LRwz4nAcVz97dFR/JYvs2DerGHl25GEx0EwMKZJYcLYsy448buK7sXyS7NjGfx3y6M09fj2yo17Wr6fTa3tdz16c8ed9MakVxhdqemZLx0TxLQYHP0AlfgzZsVNfCFYzPu5TkQC+YOj8B5EcczLEtppZ219pMSwqv8ed7Nhk+Xqy3pAfUc/X9sqiz0/NsezFvkzpdCufnlRHHWTHXkUXn4pUWCyfBxVZdqztv34EsmMTsgMbnMoOn9V0Il2c7n5YxkwgO/Zpte8fvwIxTMOMga8Yn0atZ0f6LbqD6Q0J2bGNynG28inwEemKZh1d2+vy54AZrRhYMFTywJJ8Wpx+m9WabAeyYz+sZmTmNxl61vTx8p9+GpbOWeL7pNKNv/DxyI/pSdaA7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1l4nO/7SXwfwAv4l4D7+e6+QHe+9AwA8tvfUo1+N7ACA3Xr57OCZFfBC/m/AffwPeFcO9OtfBe7jf012AP1SOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZMdNjk9PT5rsyfPxMFzY0+HwrAVo5XiIoj1qfvJ8tMo0lPliTeaoW3Msb83KPVM7x1593WpF4Tu0rvT1L32Hr/6OL2nBpLaG7LjBsxXnU3f9a1xWID2a8u5dsox49uCQ9fSIfAjZrVm9Z2rn2KsvqVZktC73dY8HyeMlOch3fF3LyI4bqLn31rum/duA8Ggm7eAHBy0erK/JrN6a9Xumdo69ujg7igFKGh5pqDw9jeFBdmw1NffOOte4ruNAHZKW42ZeoAcrWi/YZHyh+anM63UqdrMD+MQcMSfumdo5dutLOcuB2jOriI4vff3rX/9SxM28UUSH9h0oPMiOjeZnDB1mhy5JfVXM4GZDx67CfI4+fqo6w/T4AiMCJqYLw/0Y34ZEWoz7n7hn0cwBseqxeJ0x8MAYhxQeEpqONdrFp5UqZMc20cK9BU8dQCeSC4oeSjO41TGJBK9A08AjfcXhazSdOyZvMvzWzPuv3rNo5kDwzl/TGVs+vcpIE8YHJFPaeKrEdmTHJv7pbmiv+k+3vB/r+QJfjXfx1eHFWLfOWN0/v2feygGxvr827PCE0PTANtPwokibeQ3ZsYk9PbDmacXac9d6YT+G61nJVvv+CwezFhEXZI+3ciAUETGzhEhegySztsc8IEmihOzY5KjGaeVIdmADK1myAy8rGU/kKtkRw5NF2ti8ZwnZcRMrx5671gv7MVxvte+/NTvy/b25A8HqRjKISNgaTQ7m7arZ4bFCdtzEyrHnrpVxx91Yya6PGzR9gm2VvGGfMe7AmtVhR7EqCYx5BCK2IdlxOyvi7rND02jKSrbW99867CjumTd3wFnVqL0pH/h7DIWHR4eGJ1NUjKaQITtuYmXcc3bY9ZEd9+A9fCU7PDrqoZCy6FipebaG7EDF/J67wjIhEsM3G59sLbLD1pIdt7NC7jg7eN1xN4txw7PxRDkZHb6VJ8fKjSnumTd3wCxyIBPh8R2eHPNLkWzGkB1tWMF23Lfa5THsuIfFsCNSwyy+ITelbYZ8qb7rGPhaTQ+8uQODk8OOQaSGmb/wkOy4FyvYfrPD+7OOo/EVWclmw4sYSphTX8Lug4qwEjHlPfPmDgymNxWrYuiRRgfZcS9WsN12rhc+esf1lq8r5nHHYL3QtUGo1LzFPfPmDgysbqw/svpX0y9hnyPG5siOO7CC7TY7TryPxU3WU1mvMs4k9vivfSxvzuKeeXMHzg874pFV8WW5ZMe9WMH22rsSHfdyckAXX7F7JjzGcUp5e5b3zJs7cHbY4Znh6yM9FDPT0hHZ0YYVbKfdq3dOJx69YzMr2RO/gnBmtdTuT2WZN3cghhWarvDA0AAjHl5FYtgk2XEHVsR9ZgcvO+7m3IDuwtS2rfKIqd0zb+6ADyDWH1l5sszPpjw8pqlFdvgCsuMmVsJdZgfRcTfnnwVeVvYeMelxqvfMmztwZthha5PXGv6X5Z4Qlh1Z5ExhQnbcxEq4x+wgOu7mgtdIlxV+mR31e+bNHVhkQGbxjYfT5tMjqpFt6SlDdtzEyrHD7CA67uaC6NiWHSv3zJs7dm8eSFQtEmJaUI5X5pQhO25i5dhfdhAdd3NJdHitOv++w7ND0+v3zFs5du/0sONEdpS/aDVnCdlxEyvH7rKD6Libi6Jj8SKjzraa7tLqPfNWjt2z+rE+7FiMLnxBbF+kjm0YL0bIjptYQXaXHXZR539HFNfzVKiMKLJe32NgKn+b0x7jP1YZPIamY9lM9Z55K8feWQBk2eCGpePXj9j6JFuSb2H3WJlWJQciO25iBdlbdlz02RgbrA4ObPFY4hEdtVCw5JmW+12a0mL9nkUzx85Z/Vg8skpTwTNhSgiPjjFr0lU+rbghO7Y5BivJg09109km1zQiSNqwkn1SmUqyIgpdk7F84LNxA7TOtorkmNLixD2LZo59WzyScr5UiRJp8R1f+tLXv/51fS2JImJcNazzHaYMIjs2iQ+HqdrHyYek60l1c22vS31/Jrp4RcEkKXCfj60WlW7Mh1P3TO0cu2ZhsBh2ZNmhhEiM0VGumo5DdmxCduBq69kxfgWiTJkw8AWaHr8CMZQBkyM7MEkfTiXyxcm36A7Sr2HPVs2HITu2UUHOpgfRj678DDzo5tpe1/IDR/p6+3jwkj8UTwhtp2SJ/s3AQ/6PfJy4Z2rn2DMbOCyHHT4cyRZ/6TsiJL70pTQ5jNZ8KQ0gsgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWnuN7PjMux/5SQAv4F8A7uO/8u4z6tGvtjk73nsHAHhs76lHv9rm7PjUu+/9NIAX8G8H7uNf/+5T6tGvxvsO4K37PwP38d/hXTnQL7VzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIztucnx6etJkT56PdmFPh8NRC3B3z8dDlPmzFsymVWu3w1cXdBi1c+zaD37rt1qd+NYf1PwpP+5b/rjmwo//YOyfLSY7bvBs5Tk20n48e3AI6fEioiqFIj2e02Q4aGFOKzO6cWrn2DHv9+V8esR236o542kiSXqQHdupi+0tO9JubFDvrdBUMXBIq9Qlt0PrMmQHXNrzD9JQqPnBxWZp9Aym8CA7tpradG/ZEVd1PMaDkg7HVW9P1KWhyMcy1/KBVj0/6zliNTyGdRnbTrdN7Ry7padVA5s4N/IYk2bOjlhi+ytEtJzs2Gp+rtNhdhx1Td6TMfC4OwsIFXkZEGkOxP3Q9Am+j6bVzrFbQ4+vIPjx6PzzVxkF28T/p/nIDu0S6TOuIju2iV7VPxR2lx3JK44LOyvcKKlEMdDQTIwC55U2d/4NVLqV2jl26wfLx0+nBh4WFD5ASXZKwibGIJohOzYZPw3qP93KPvXiRXhej2XuSaLpga07Ow7M9lE7Bwbe9yexsGDrfXixspGHj7KE7Nhk6FP9t2GsJHvuWrscWL1xWV7bTBIWxWydBcw0OIlmDjirWyeyw1Ljx09lhz+1IjtucVTjtpIkO9DSuew498wqv2fRzAFndWM9O2xYMqwlO16ClSTZgZbyMrcZTQ6yVSvyuIlmDrj8NXgphh2nssMfepEdLVhJ9ty1+mdgTeNlZOOO/A2Hx4qm1xRxH80ccFY5VrPDX5QP/2Xc8RKsJDvODoYdryDPa59TeFx0O4q4j2YOOKscq79nZYMS+++57NA02XETK8l++1bvq86+mkVbVuhJ5++/duWVLB+QrLGNklciaufAwLv+tewYhx2nssP2JzuasJLsMDuejXdVRMdLWwwuIjwOcTvOVjbfXdNG7RwYnHzdYTXHJ9azI33dQXbcxoqyv+yIbsqMf2COF+Plrukw347Kd+yWbLP0N7HUzoEzww5bGbGwnh22/zjsIDtuY0XZX/can3QNX8L+0qoPpnRDLoiOxahF7Rw4/aZcv59rVrPDs2ccdpAdt7Gy7C875g+6Ax5avaTaK6bkS9jP3gy/dZp2audA9kfhC7ZS69ayw59YzSvIjptYYfaXHaIvdSU8XpAXeV6jIskv+1bjxbCD7MCo6Ppz04vywVp2FNlDdtzECrPb7Bg/8RIeL6YSHb7IHx1Gepy8G4thB9kBORkd84vywUp2lMMWsuMmVpodZ0dcYN4Z4X68689fMaVpElF+6hXUcr3aOXbP6sYUDyULlikW6tnhLzvSF+1kx02sOLvOjkpvhnupvOzw8p9rmIeHpiuKrY3aOfbu5MsOC5Y5LarZsRy2kB03sfLsOjv8Cnlo9SJq78ltUVLBfJP1KK+sVTvHzp2ODk8L+6cBnW3rc1prKk+8yI6bWIGSHWih+itWtkzTzgYeq7fDty6qo9o59u10dMTzqCWtHdRelpAdN7ESJTvQQC06/CFUtmyxIFV7oqV2jl07Ex1r2THtUX3PTnbcxIq0/+zgfcf9VaPjuuyoDTvIDpyPjsiGhSksqtFBdtzGyrTr7Ki8fcUd1KMjil/TzhasRfliY6N2jh07Gx2F8l15PTrIjttYoXbWs2Y9mHdpJ36xB42slbMtTrIiHVochrBJ656vW+SK2jn2yx9IVb/FagiVb61kSpkdtn/lt3vJjptYofaWHUmXFNHBI6u78zcVtYrkK6YbkEa5jzLSW1MfIqqdY7dWRg2DtVApsmNt2EJ2bHMMVqoHn+omQeySdFGa1ArcTVKPRqpPkRbDKvtSfA+SMR5in5h2Nr+MebVz7JbViyf/3duJ1nh2VFIlz47YSnuGCBKyY5No0qluetjooGZEx/2pqFNjsS9q2vghpcwO33D5CcZbOfbLu/6CBhGXZYdtVIiVZMcmHWfH+BWI0s146i1TWaem+pR8i+5gfsPh2ZGMM3y1phPeyrFf57Lj7DMr26hAdtxChTjr6qXA8eAd1oF/+ulllGO9QfYmI27HU/5kdFiWfmCxTSq3y1s59qv267da5e/KNZmyXeb3G/66Ixd5Q3YAHfNWDrRHdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdZeIzu+791f+IsAXsB/DriP//C771OPfrXN2fHeOwDAY3tPPfrVGHcAb91/HriP/+grjDt43wG8kH8ZuI//Ie/KgX6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZcZPj09OTJvvzPFzc0+FZc2jieDx4sR7r5Xq+zI+HlQM868iHoxY4tXPs2g9927dZ3fi2H9L8ip/4oRObjSuntWTHDbyhP3XbufrVPR00hwaiew/VhNAqzS09JwfIMiJdke6vdo4d8z5fTqTHTyTbfZuWTX5CK1wsIju2s0HHoNfs0OWRHe2k/ftgWXPOlXl8Whklm+UrkjXRzLFfWa9fSYVRvl2xWRo/T08/4cvIjq2m1tppdozXR3Y0E8lwOB7XIuJcmcf6ygFixfH5+VmrpjXeyrFjegw18JqxNvKI6Pihn/iJ8dmUlruIDlvpa8mOm6j1DjrNDvuM7P/TPG421JnxZUR09mXVOVfmto8edcUzqvEAXhvHGV+jabJj94a+Xjmgh1LR85dszbdplW+XZEwxr63Ijm28fR68B+gzO+zS/DMs2dHMMXnF4VUne2NxvsyzUPADjBva9HxsmxsPHc0c+/VDyQiiDIWZD0qmVLHt5t18SLJMHLJjk/Fznv7TIbsyv0yy4z6sgIuyPVfmtn6Om+SDi0/6lEuHLmrnwMBToHiVEWxFMrKwWU3HuspghezYZGjg/hnSSrXL7LAe7JnsuKO0gw/nyrxcM8wqSoo16azaOWCsztSyoxxa2MBjjBJbV9uH7NjkqMSwEu8xO+yD7ND7rPdjuNUiO86Wue2RPuWat6xkB8+sUDHUjPXs0LSxR1jjdjZdGXaQHbexEu8xO6z3Ga5rvR/DrRbZcbbMa9mhJ1XzlLG5sVaqnQMmf5ExS7PC+OsPTSeTGbLjJlasHWaHfQS2XorsuB+rOmkSnC9z20OTLnnLkQVRspzsQMaqxiXZkYxD1h5ZkR23sRLuMDusK7L/kh13sxh2nC3zLBKML4ja50MQ7ZUsHqidA8bqRu33rMrs8A3jQZWtqv5qFtlxEyvh/rLDeh//SEx23IslRVZzzpf5IjvS2ufH8xmPkfnIaufAwB9FrWVH9mDK5rPs+AnfJP2uK7LjJlaa/WWHXZVPkB3NPdvffs89/cQW+MRqmS9X2D7jQeKQB0+O9Mhq58Bg7XVHPKNKX4jP8/4rVxEcYUwPsuMmVpTdZYf1P3FRZEdrVmFc/m23l5T5coUdZ6p9tjpkX7Kodg6cGHYsX4TY/JwdOW1HdtzESrK37LBnI+qjyI7G/LlTyL5D/ZIyP5Md49Cj+H7eaObAwKpHddihhJjW+TCkyI75q64UP2THTawge8sO64J0TWRHa1ZhJnPNuaTMz2RH8iXs6VbeyoGBd/zpg6mU15xv84AYH1DFpj75Q+NukSo+SXbcxMqxs+yYXtoOyI77eLaCHYxV56IyP50dccTx3weZ66S3ckDd/sqwYwyFzJwdSeD4dj7wIDtuYuXYWXbYJWmS7Lif6OtVd2wyps5kx+nfs/L4ifSYjuDtHTgTHcP69MWGbxzLbXH6jsTm/TBkx02shPvKDvsIPF0R2XE/HgUx2LiszG2rtezwwNAh4uHVOIzx5g7EsydN103/Mu0wzJg3LrPDnmiRHbezEu4rO4YLmnsusuOOrO5EFlxW5vXs8AnPobkeenho2ps74LGQPHs6zcYdGqOQHfdh96Or7PCe6ziyTsjntBYNTR3+hWXu2ZFWtjlMijW+Qvt7c8fuXRcdnh0KDLLjPuyGdJcdFVqLhrLsqIitErYwrWyeOTaxGJF4/sSkN3fs3ZXR4QGhzaesELKjDbsje8iOrq7xjTiXHYsyt4XpaMQSwuenEBklC7y5Y+eujY7kdYdnRfqexOZ9HEJ23MSKtat+1T/CLlSfv+M2Hhk2cWmZTzuIzZIdOO/q6JjywdjOmjQ2S3bczsqx48/ki04J7VjdqRTuepl7xsy1bd7QprJnVraA9x2Qq6PDf0N32sF2nx9azevIjptYOZIduMj4j00G/2Wo9BGUFGVugTFuZXtMGeFJojXJpElDxts79swfOqVvuydDKnxbJVM8HuYdfP9pM5uJJCE7bmIFSXbgIsloQNGRDRakKPN0M88EfV1VTPtkmUO+atzHWzl2zJMgfdk9SUPlJ+YvV/fF5VMqhYcfTNNkxzb+65RHa+dP8euVXSYI2dGS15ahjx9EclQ/dtSyY9wudrMKF1Pj8kiLYfnyC969lWPHvDr8UEZrPCSUKjb9bbbOH3Al44xBhImt9YlxHdmxSTTWVJddLNnR0qLSVD9vnMoOhcdo3n/90NHMsVvq7zPq/MvsmBVPspQnMq4jOzYhO3C98SsQw0rB1rJD04PkCNl3rSffojtIVqmdY6/OZcf4zMpXyPyuQ9KDTLFCdmyjcpwlryr7YRGZ9lC4lR4pHYp/+ilRlHl5C8YDLB+SHg+RH/nzU7Vz7FUWCqJV/q5ck0M+JN9mtRTPsrKVZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtPYa2fGpd9/7aQAv4N8F3Me/8d2n1KNfbXN2vPcOAPDY3lOPfrXN2fGZdz/ykwBewL8I3Md/7d1n1KNfjfcdwFv3/wPu43/Lu3KgX2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3s2Or5eHgaHA7PWtCT6eKOWoBGjoco2bxgn21Z4qDldc/DIRY3ZqU+qp1j977ynd9pFeQ7v/KXtWDpL38lNvnOr2jBpLaG7Ngmbez9pcdRVzboMhpfjXfvkvb+SYEHLa+KjNCMrNZHtXPsnHf9skgG+YrWD74zD5jqGrJjk7QPGHTWv+ZXR3i0Uowuku7/iuywQccgz471+qh2jl37y6oY4Tu1tJDGy9NTGh71NWTHFtEJHAdqtFreh7im+eIIj0a8PA9Wbbxck5GHLbDlo/UiH1Miy44T9VHtHHsW0fGdX/nLg2EIUc+OCIivfCWeTqXhsbKG7NjC2qqad3QDp59PPxa/InVrPt3Txb2qoWNXWWrwMEWElfMlEa39BovsWKmP0cyxZx4d87OmdEQx88dSX0mmp4RZW0N2bJI09PjMp5kO+PVMn4i9r7qkV8N5x6TD94KdivnC7BjHF8P/5YG+Xh+jmWPPbLgwJcEKzxcFhEYaypjVNWTHzTrrXv2Dq6YHdnV5P4UWvIufCvbC7NA+y+xI5fXRWzn2zMYK56IjBhSaHiRxs7qG7LiZd7b9ZEdxNUWUoBUr1w3ZYUOV09mR10dv5dgz6+3rz6kSVmmSjZLAWF1Ddtysr+zwz8Oadl1d3Rti5Xp1dsQOZAeuMFQHDSHW+YMpTTub98RYX0N23Mx7276zY/6FILSSPQy8MDvkdHbk9dGbO3bMBgrT64o11YTwvdbXkB03yz/nPTq7miwqrI8jO9qzWnOX7Mjrozd37NhFj6wWAWN7+YL1NWTHzbytavrxLaKCl+X3YbVmKujm2aFpsgNWHTS5bgqEkS3wJ13ra8iOmw1F2XN2nO6osJH38Fl2HJ+NFpx0+pbYgckOjKw6DP/RH/atfJvVIiFsuFHPjmkN2XGrvl53eM+TXQ3ZcRf5cM6TRM5//+TJW1LUR2/u2C97X/Gd41+Em+KrqoKtyJZPCbG+huy4lZVtP8MOsuNleFjMIZFmx1DcZz6KnLwlfgRND7y5Y7/8XXeuEh6LxWTH/Xmr72fYQXa8DCvmpFTz7DhX4KduSVkfvbljv8bs8G+zsn5/oFUJW0p2vCx/QtBT12rXQ3bcmz2xyop5fNOhf4Xj9KeRE7dkUR+9uWO/PC7mf3bDH15l7y+cLSU7XtaiE3h0i+shO9o7+YnDRw4nn4KeuCWL+ujNHfs1dfXi4aHpmS18a9nxh7/z27/xa7/yCwCAnv3Kr/3Gb//OH6rnP+lsdvzp3/utX9ZRAQD9++Xf+oM/VQKsOpMdf/a7v6SDAQD24pd+98+UAitOZ8fv/aqOAwDYk1/9PeVA3ans+Ae/rmMAAPbm1/++sqDmRHb8/i/qAACA/fnF31caVKxnx9/U3gCAffqbyoOl1ez4G9oVALBXf0OJsLCWHYw6AABrI4+V7Ph97QYA2LOVdx717Pj7vCYHAPzCL/ziP1Au5OrZwS/nAgDMrysXctXs+D3tAgDYu+ofCday48/4a3IAQPjV2teT1LLjd7VD4q/+nT/6E62Vvv7dQOAN86/NBtpbfAf7n/zR3/5r6vUTv6u1qUp2/Oni6w9/84+1KkF2AC9E7Rxorfrvd/zxb6rnn/xS5Vt1K9nxB9p88ne1IkN2AC9E7RxobeXffvq76vsnf08rEpXs+C1tPfpbWp4jO4AXonYOtLb27wb+LfX+o9/S8kQlO4p/6qk66iA7gBejdg60tvpvzhYjj1/W4sQyO/5QG8tvanGJ7ABeiNo50NpqdnxQvPNY/jO0y+z4HW0rldfkjuwAXojaOdDaenb8sRJAfkeLZ8vs+G1tG/6ali6QHcALUTsHWlvPjg/+qjIg/LaWzpbZ8RvaNvxtLV0gO4AXonYOtHYiO/6OMiD8hpbOltnxa9o2/JGWLpAdwAtROwdaO5Edf6QMCL+mpbNldvyKtg3FX5PPyA7ghaidA62dyI4/UQaEX9HS2TI7tKlo4RLZAbwQtXOgtRPZcS4KbsiOv/TXAbyA/ztwH/+jV8iO994BAB7be+rRl5QBooUzsgMAduvls4NnVsAL+U8D9/EfeJX3HbwrB17Efxa4j/8Q2QH0S+0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdQMfUzoHWyA6gY2rnQGtkB9AxtXOgNbID6JjaOdAa2QF0TO0caI3sADqmdg60RnYAHVM7B1ojO4COqZ0DrZEdWz0fD0+Dw+FZC3pzHK5Ok7i/56MV+FCfjlowm6racpU82/rEQcvJDrgPf+hDVi8+9OHv14I13//h2PBDH9YCNy1Ndyc7tkkba5fpERfYay6+Oc8eHFJERLJqraqlezstJzsw+H7v+UOWCaXv10ZOy/KlSXqQHZv458BZf12sOiOy42UU44Z52DDI61r9jpAdWJclwtOHtLQiiZjBmBL50mkx2bFJNPXjQA1by3sxdWVkx8uI0p7rU1LusaS6ambZYdVxNG+kdo79iuj40Ic//GGfWA+PCIkPf//AnlEpJGL3Ye94bjWPR8iOLaxvVfOMT3zZB8WHN3+KJTtexlDUY3/vETHXJ78Xeojl09WqZmvq90rtHPtltUaPmuLh1fzYKePr5kda41aWHZqO8Bmzh+zYJGmo8RldM12I3suvi+x4GekrDi9+TUftmlb6qto9ITuwxiNB0zGIqA88fFUtVpKFMQbRDNlxs9UG/aD80+1wPZ1d1sMYy3+e0fTA6lpt4EF2YI3VoGQ0YbPVgcfqilQ6biE7bpa19Q4M1+O/ztPZZT2MbMBX3IQiSiZkB1bYc6Z0oGE1qPa7VhYqJ16jiz+1Ijta6S874mI6u6yHkWaHT8dkSNalyA6ssJFCmhVlloxs+dlhB9nRVq8vBjq9rDfvbHZU/kKQ7MCKWnbMf7oxW1lcSB95kR03623cMer0st48r0/JdBYV9sKD7MDlrDZp0nnvr+nEZY+sGHe0lbb1nthlkR0vLhvGLqJi5WU52YG6RVSkI4eEhULtNUghHbWQHTez0iQ70IZHx5QOi+ywkFjJjuOz0YKJ2jl2ajnMsAWr2fH9Hg5P+bdZJXytpsmOW/X6uoPseFne8/sYNgmHxT04kR2j/BsT1c6xU5YF+bMoqyPL7PDXIhEcoZoe2aCF7LiVF7Smu2LXRXa8lLn3T75QZFN2DBsku6idY6euyY5c7e2Hr9A02XErb7VddrHdXtibZE+nQjpusPnrsyPdRO0cO3Vtdti3WemLq5YjDx+XTPuSHbfJH093xa6M7HgpWe8/VSibuSQ77IlX/FdfmTjtpHaOnbo0O2zpEBya82dT+WuSgS+dD0Z23MZbap89bL9X9oap6x/jYXEP1rIjESmkGbJj567JjmSpx0Q58PDhyLwR2XGTjqOD7Hgdz16nlA82ecnvWWU8PMa91M6xU/6YSdPBFiyzw9+Va9rYfPHGo4gOsuMmWSvtjV0b2fEKrOA1brAcuTo7/ADjRmrn2KlLf0e3zI7leMVTKN2E7LhBxy87BnZxZMcrSD6RVLPj7IcV24vsgKlnhyYTZ7OjeNkxIDu26zs6yI5XM9erNAXcIkxqPHw0rXaOnfIuPx1mLMPEncuOZXSQHdt1Hh1kx6uZK9biEdVFN4XswMTqQpody4dRrlxczFeig+zYrPfoIDtezVyz0hQwXuk0vS5NHLVz7JXVmPIleDovlhXpcMTm581q0UF2bNV9dJAdr8ZKXg+mkklTZkldupPaOfaqDAWbrWRH+Rok26waHWTHRv1HB9nxWjwgVPLFC4+L7onXzXErtXPslff780Or8tnUxMYj84psr3p0kB0bWWme/wD40OwKyY4XkX0K8a5/rFueI9PAw5JkqnXDTPrFVZNsf7Jj97w6aDpiYBpPDHnxoTEgfHwyZYzNTGlhM5XX62THJt6IO+9Yd3CJb8VQ0lMMRNefx4XmslqXpkr6HVi+fL5xaufYrRg1RCrkIwiPiylIbEbh4ZtNQWIjkmTkMiE7tvD2eTimOupldUXzNZIgd2ZFrcLWpFaMUXKwdTGl5aqDMe2TvrvHS5r5aufYL+/7nz704Q/rOw6nGPDsyJPEN/OJabPYalg8i1VkxxZetrn0qcNji94q1c+1vVHq8Sdpgee3Y15TZkcqCXtv5di1iIzRPILIs2NtM82nYh+yYwsVYYrswHbjeCHk47z4gqswP5rKnlmlmwwL0/29lWPfNJIw0/uNgS9Ofucq2SxJGC1IkR3blZ8TB0mrfnS6ollH1/Z2HQ9eqw6VJ4Radczvw7AsCXVtM2yU7++tHDunf5LjQ9OXrIdh4TzsMLXN8uGIi7whO4COeSsH2iM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa6+RHZ959yM/CeAF/EeA+/h3vvuMevQlZYBo4Wxzdrz3DgDw2N5Tj76kDBAtnG3Ojk+9+95PA3gB/37gPv5t7z6lHn1JGSBaOON9B/DW/SPgPv53Ld93/Io2DX+ipQtkB/BC1M6B1k5kx58oA8KvaOlsmR2/pm3DH2npAtkBvBC1c6C1E9nxR8qA8GtaOltmx29o2/B3tHSB7ABeiNo50NqJ7PjbyoDwG1o6W2bHb2vb8Fe1dIHsAF6I2jnQ2ons+GvKgPDbWjpbZsfvaFv5Yy0ukR3AC1E7B1pbz44/VgLI72jxbJkdf6ht5Te1uER2AC9E7RxobT07flMJIH+oxbNldnzwy9pY/q4WF8gO4IWonQOtrWbH31X/L7+sxYlKdvyWth79LS3PkR3AC1E7B1pby46/pd5/9Ftanqhkx9/T1pPqyIPsAF6I2jnQ2kp2FKOOX/iFP9CKRCU7/vSXtPnkNysvzMkO4IWonQOtVbPjj4t3Hb/wC7/0p1qVqGTHB7+r7RN/7W//UfEX5mQH8ELUzoHWFtnxJ3/0d/6qev3E72ptqpYdf/ar2gEAsHe/+mfKhlQtOz74Pe0BANi731MyZKrZ8cGvaxcAwL79unIhV8+Of/CL2gkAsGe/+PeVC7l6dnzw+9oLALBnv69UKKxkxwd/U7sBAPbrbyoTSmvZ8cHf0I4AgL36G0qEhdXsYOQBADu3Nuo4lR0f/D4vzAFgv35x5V2HOZEdH/x9flUXAPbq1/+BsqDmVHZ88MHv8RfmALBHv1r9k8DJ6ez44M9+d/HFiACAzv3S79a+iCRxJjs++OBP/+C3in8MCgDQsV/+rT+ofHNu7mx2mD/8nd/+jV/7FR0VANCnX/m13/jt31n+A7MVF2VHzeN/B/vz09PTc0weh8mnp0PM9KDna3tlQ3kejjFppTyVc5T0NLPO9hlvhx9BR4s7NR7gYDOa5jvYEX5+qBTfZTXj57XgpB+1LTX9j/6R7/ejmhkOFf9Z/Tdnz9txdnyQNPToBTTTg56v7XUdD0XRjl3/hdlhW81J7nmhaZuc97e58dDRzLF71v//I6sZF2WHbTiFhcVOZTey42b+Me98w39IPV/bK7OSnYLgsuywuzHFTaRP7OSTPuVsu/HQaufYORtI/OjF2eFpoekIkspeZMfNsucFnen52l5Z2sFfmB3FzZhnbfd5QJLNqp1j54Yq8V2rKbBgg5Rs2DHsu0B23IzswAZtsiOmKtnBMyskLAyG0LAqc0F25A+pbMhS24nsuFny7KA7PV/bK9uQHWkm5IExTCbPrGxuPJraOfZtqBE2dLCacUF2WFrMIw3bSZMZsuNm1oZ77V97vrZXZiV75bvyPMnTtx9ZEGVvP9TOsWv+onxgNeN8duTDjrVHVmTH7bx/1XRver6215X19hdmh+fNuN1i3DLO5Qmjdo49s+7fX19Y1TifHfkv6MZb9gqy42ZW0L32rz1f26uynj9JC+v7j89GC+o8FjwjnvPsieP5AT1G5sOonWPPxmHHhdlhW81poez4eU+Up++aV5Adt+r5lUDP1/ZKLB+Oc08v3uHL+OeDNREeT3GAJDrG8DjEgZIjq51jx+aRg1WOs9nhj6w0PfDfuYrgCGN6kB238uLUdG96vrbX4SVq8oRIs2NYtx7XPt4IRcTMh8h2VzvHjg11Qi8srHqczQ7baB5deHbkdDCy40bFI4Ku9Hxtr0PjBnNMCzbPjmJIkRsPsRydKFby5Ilmjh3T7+caqx/nsiN/Uz5nx4/+/M///I/GTCQL2XEbb8knWvoj6/naXosV6STp5Mc3HZXnWbkkZfJtkhFJes+8lWPH0t+TstpxLjv88ZSmjc0OwaE5T5ZYTXbcxhvsakN/bD1f2+t6VgJUCzfWaaYQAaG3GllGxCIlT3Jgb+XYMRsqaPKS7CiHHeU+vt4HHmTHTYgObBN9/Xp4VF+Yx0jQdtKTq2l/v1m+T6THFCve3rFf84vygVWNM9lRDjviXbmmjc37OIbsuMV6K398PV/bW3CifG1N7Vlh9hAxwkczac7H2GQ8sjd37NfQ1c9/2Wc140x22CZpVCyyw8KF7LgVLzuwnRVw/dGUdf61orcd5uV+hyIiPEfmMYyHh6a9uWO3rKef08Iqxuns8GFHtgnZcQdEB25QdPgJX6PphC1Ob8kcETaRHClJFbJj56wq/OhknFvPD99C04HsaI/owC2uzg7LivQhl98kO4BPxLKQDFy8uWO3rGos5emQWLwpT7JCyI6bER24yensqJT+YvtxwWL7ZIE3d+yW1ZGlNAsyNsjI3pTrKZamjc179pAdGxEduM3K6GJgKypv0W0x2YGreBgsrD2zqgw7In40aWyW7LgB0YEbrZayl39lQGKLs0ixBfbfRQrZAt53YMEqyvq7juUYw1n8zAOVOV7Ijm2sAOsfGh9fz9f2mo5ZIPib7sroIqJjKn+b01ZlRMxvNWxFcqg0fLy9A84qRpIdQyp8Vxol89/9pTxQps1sJpKE7NjEG37lo2EPer62V5WMBlTKYxKk34zoCTGXv8/FZIwHpzVJ+CSTgyx8vJUDzirGHBYeCuWvUFXGJbZUiz1dNE12bOHt+3BMddPZ9nxtrytS4clKNJJjSgibPniZFyuUHZqNlcP9eH4+xsH0zCvSYjjA8gvevZUDzmpGkR3pa3Obr/wKlm/39F36Hd/pCGTHFlGEmW7eD+h6Urz7aCJ6+MSUEJqfzNGRZYfCYzbdmPVDRzMHjFWN9eyovik3+Qv3cQuyYwsVYorswDnjVyCGpFST78AdZOM8X6Lpaegi6SuO7AjJ17CrnQMDqxxFdiTjDJtdvCl3GnC4aX+yY4vy898gacePredre316pHRY/OOAx0MUfPmE0EYU6ZLxmdTheNkR1M6Bgb0c16RZzlaHHSb+5Y7vSv8inewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdZeIzu+791f+IsAXsB/C7iP/9S771OPfrXN2fHeOwDAY3tPPfrVGHcAb91/E7iP/+QrjDt43wG8kP8vcB//G96VA/1SOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyA+iY2jnQGtkBdEztHGiN7AA6pnYOtEZ2AB1TOwdaIzuAjqmdA62RHUDH1M6B1sgOoGNq50BrZAfQMbVzoDWyY6vn4/FpcDgctaAnz8dDvxf3qo4q2eOzFhhfVEjXF46HyjFW7pnaOXbvy5/8pNWPT37557Qg93O2MvFJLZ/83Jdj/09+WQvIjm2ePTikuw42ubjDiT4M14ruPSQlqyWZ1UqVBs280XO6+KCFA7Vz7Jz3+zJ2/pkva+VEyyWLllhEdmzyrEKUpK32IO2GTn4AxnXygp1LVvOZlezIa95U8VYrZDRz7Fs+qFgMKczp7Eij5+kpRi5kxyZRhEc9gOisf41r6vTiXlMM5w5DyfpE0vMPi1K2sl7qkRGH4/Ng2Gw8Qiy2pTr2dGhv5di3iI5PfvnnBkNGrGbHlxPZk62Ijth/mCY7bjAU5Piw2TvY+XPe4/POR596fbqni3tV1tmrYKOzX0llL3VN53y3+WHXNOF7jHNeIzVNdiCi45NTGNTfd1h21NcoOuYnXdqM7NgkfaKQNdXH593TdHl+cStdHK50TF5x5MWcW19lt6MW5bbHfOx0/2jm2DPr+qtjjdSJ7PDsWa4jO26WfeZ7fMWH3rXeCjeyYq4XrMeKpnN2b2r7FHuk90ztHPtlqXA2Ok5lh9Wuyiqy42becPvJjuJq1p+f4CbroWxr1ocdtZpWZEo6q3aO/bJhx0oqJNazw4YdtewhO27WV3YsPvR2dXVvyGp2nKhPa7tUsoNnVpChNpwfdpzIjrU1ZMfNdpAdK8/lcYPV7CiCIJFmQs5ukiYHNjdWSLVz7JZ1/dW/6MitZ4dVJ01myI6bWYvu56nOon9af4KCW1itqZXriY8ia4+siiDK4l/tHLt12SOr9exYe2RFdtysr2HHMipWPx/jFqvFeuKjyPoa30mHyyuk2jl2y6qDJk9ZzY7VcQvZcSNvqR31rYvssG6J7GjNirn+icNWrIzzbNXwH/3NZuUbsWyJx8i8Su0cu2X1YfhPfBvV08q3WSki7I//yg2UHfZHhYPp26zIju3sL3v1rVY9da12PVmfRnY05bVm7ukXsgdOOVt1WPlGLIXHISpkslztHHvlj5wUHG7+I8FMRENIAiKeeX05XTuuJDs2ikZq8m8zfXR2RWTH3VjxurVvKLZ1K6s8VnLJnZorZPb1lWrn2Cv/w77c6qOpWRIwSeyI3n6QHRvNH//6+p5yuyKy416S7r/+kcM3qK6Zd/Zvs1JUaJVTlcyig+zYuzE7/NusFBBalcmzYwqIOTt8fz348hVkx0bzx7xBR32rXQ7ZcTdWvJNKRni10nTJ182fVDwq5s8tyZewp7fLWzn2yzNhfgjlnX/6SGoyvukYA2IcefjM9JokosgnyY7b6PFzP52rXQ3ZcWfjqGERHqeGHYs74VVP0xEsT8uvPvZWjv2y7Eh/xdaDQdNrYgyiGZtMnnJ5eHj4kB23is973fSudjHZQziy4y6iry9jwpdqesGDRdMmDRqvhH7fig8z3t6xX97Xa9r4fJIFVR4eGp1Y2KQDFZv3MCI7bmflvNrgH411PWTHC/CYyEp6UFs2KbMjGSN6YChG4sPMeBRv7tivMjvKcUSdbaTRSpkd00CG7LhdtRd4VNXs6OXi3hSrNcVHDq9J5Vhksp4dxX4eHpr25o792pYd0+CC7Lgvuxu9fDS3fie7lkWYoI1KUNiS9bJez45pIviGOo43d+zXtuzwh1YxSXbck5VzL9lhPVp2LXZxeQ+HJpbZkb7AqClXj/OLUEk+AHhzx45Z5UizopyvSrJjygohO1qycu4pO9J+aNEvoZFldqTPmmpsdTosGTdf5H2ywJs7dsxqSTpusHlNrksCI4kRZ/N+PLKjASvcbh7rFBdTZglaWZTsuWGH71G7NUlUhGSBN3fs2NTXhzIK6myjcadih2kV2XE7b8On2vxDKV54dHVtb4qV7KLHPxnTRbhMd2qxoy3gfQdc8Uu5yVvwddk++R7zKrJji6zNe4vu56O5d0TTp9tzj1FwuWMWwl6y6WjV61G6wNnSaaFtMVW95COLTSV7phnj7R17ZrVh6vt92JGkQvWbET0fprFGtktyNLJji6H4pm8NiuhYtPnHlXZqPp32eNguGQ2oZBeDhWVZZ5v5JgoPP0A6PR06+zDjrRx75n2/wsPGEFOQ+Ao9mUq/O9eXJ0OVZDZSJabJji28AJ8Ox4EmtaIH0fUc7OpiSstxI9UVqzWRHHlS2ILlR5B8O5+zI8QBxlujW3b0L0mMVeMu3sqxa14hnr78ZX1RVT4G0ZxPfnLYZvy69mQ8ElliK31iXEV2bKGmP+mre42eaER0tJKX6yCLDl+7GHYU2bF2a9YPHc0cexaDhdEUHYvsSCXRodHKZFxFdmwyfnAMyxb/2JKvZO3pYdyrG78CMRSh7Ms0nSgWp7cmPUC6fFgz10i1c+zZzyWd/xwd2TOrdJNhYRYd48gjTKvIjq2OB2+uh77+6SfRxR1Jjsb0SOmw/EdfbHmlKtmIIlscAVQ5gO7ZcNPS7dXOsW/xL3d8MvsHAeNduSYHX/5k5MeXa/8ubTzK+mS6iuwAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdbIDqBjaudAa2QH0DG1c6A1sgPomNo50BrZAXRM7RxojewAOqZ2DrRGdgAdUzsHWiM7gI6pnQOtkR1Ax9TOgdZeIzv+yXff+2kAL+DfB9zHv/XdP6ke/Wqbs+O9dwCAx/aeevSrbc6Of+6f/UkAwCP7Z/859ehX25wdAIDdIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1yI7AADXIjsAANciOwAA1/pzAABc5c/9uf8/yRF01CDlV0QAAAAASUVORK5CYII=\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56195,"title":"Possible Rugby Scores","description":"Given a natural number s (\u003e 4), representing a rugby team's score, return an n-by-3 matrix representing all n possible combinations of tries, conversions, and penalties (or drop goals) that would result in such a score. The first column of the matrix represents the number of tries, the second column the number of conversions, the third column the number of penalties or drop goals. The order of the rows is not important, as long as all possibilities are uniquely represented.\r\nIn rugby, a try scores 5 points, a conversion scores 2, and a penalty or drop goal scores 3. However, a conversion can only be attempted after scoring a try. Hence the number of conversions can never be more than the number of tries.\r\ntcp = scorebreakdown(12)\r\n\r\ntcp =\r\n     2     1     0\r\n     0     0     4\r\n     \r\nTwo tries = 2*5 = 10 points. One conversion = 2 points. Total = 10 + 2 = 12.\r\nFour penalties = 4*3 = 12 points.\r\nNote that 1 try, 2 conversions, and 1 penalty would total 12 points, but is not allowed because it is not possible to have more conversions than tries.\r\n(This problem can be treated as finding all integer linear combinations of 5, 2, and 3, such that 5a + 2b + 3c = s, but with a restriction: b \u003c= a.)","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: 431.1px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 215.55px; transform-origin: 407px 215.55px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 84.5px; 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: 384px 42.25px; text-align: left; transform-origin: 384px 42.25px; white-space: pre-wrap; 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: 76.5px 8px; transform-origin: 76.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a natural number \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: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003es\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: 164px 8px; transform-origin: 164px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (\u0026gt; 4), representing a rugby team's score, return an \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: 4px 8px; transform-origin: 4px 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: 90px 8px; transform-origin: 90px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-by-3 matrix representing all \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: 4px 8px; transform-origin: 4px 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: 30px 8px; transform-origin: 30px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e possible combinations of tries, conversions, and penalties (or drop goals) that would result in such a score. The first column of the matrix represents the number of tries, the second column the number of conversions, the third column the number of penalties or drop goals. The order of the rows is not important, as long as all possibilities are uniquely represented.\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: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; 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: 373.5px 8px; transform-origin: 373.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIn rugby, a try scores 5 points, a conversion scores 2, and a penalty or drop goal scores 3. However, a conversion can only be attempted after scoring a try. Hence the number of conversions can never be more than the number of tries.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 122.6px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 61.3px; transform-origin: 404px 61.3px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 96px 8.5px; tab-size: 4; transform-origin: 96px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003etcp = scorebreakdown(12)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003etcp =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 72px 8.5px; tab-size: 4; transform-origin: 72px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     2     1     0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 72px 8.5px; tab-size: 4; transform-origin: 72px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     0     0     4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     \u003c/span\u003e\u003c/span\u003e\u003c/div\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: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; 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: 235.5px 8px; transform-origin: 235.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eTwo tries = 2*5 = 10 points. One conversion = 2 points. Total = 10 + 2 = 12.\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: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; 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: 103px 8px; transform-origin: 103px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFour penalties = 4*3 = 12 points.\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: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; 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: 373px 8px; transform-origin: 373px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNote that 1 try, 2 conversions, and 1 penalty would total 12 points, but is not allowed because it is not possible to have more conversions than tries.\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: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; 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: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e(This problem can be treated as finding all integer linear combinations of 5, 2, and 3, such that 5a + 2b + 3c = s, but with a restriction: b \u0026lt;= a.)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function tcp = scorebreakdown(s)\r\n\r\ntcp = [s/5,s/2,s/3];\r\n\r\nend","test_suite":"%% s = 57\r\ntcp = scorebreakdown(57);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 19;2 1 15;3 0 14;3 3 12;4 2 11;5 1 10;5 4 8;6 0 9;6 3 7;6 6 5;7 2 6;7 5 4;8 1 5;8 4 3;8 7 1;9 0 4;9 3 2;9 6 0;10 2 1;11 1 0]) )\r\n%% s = 33\r\ntcp = scorebreakdown(33);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 11;2 1 7;3 0 6;3 3 4;4 2 3;5 1 2;5 4 0;6 0 1]) )\r\n%% s = 55\r\ntcp = scorebreakdown(55);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 16;2 0 15;3 2 12;4 1 11;4 4 9;5 0 10;5 3 8;6 2 7;6 5 5;7 1 6;7 4 4;7 7 2;8 0 5;8 3 3;8 6 1;9 2 2;9 5 0;10 1 1;11 0 0]) )\r\n%% s = 41\r\ntcp = scorebreakdown(41);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 12;2 2 9;3 1 8;4 0 7;4 3 5;5 2 4;5 5 2;6 1 3;6 4 1;7 0 2;7 3 0]) )\r\n%% s = 21\r\ntcp = scorebreakdown(21);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 7;2 1 3;3 0 2;3 3 0]) )\r\n%% s = 17\r\ntcp = scorebreakdown(17);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 4;2 2 1;3 1 0]) )\r\n%% s = 27\r\ntcp = scorebreakdown(27);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 9;2 1 5;3 0 4;3 3 2;4 2 1;5 1 0]) )\r\n%% s = 28\r\ntcp = scorebreakdown(28);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 7;2 0 6;3 2 3;4 1 2;4 4 0;5 0 1]) )\r\n%% s = 9\r\ntcp = scorebreakdown(9);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 3]) )\r\n%% s = 14\r\ntcp = scorebreakdown(14);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 3;2 2 0]) )\r\n%% s = 20\r\ntcp = scorebreakdown(20);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 5;2 2 2;3 1 1;4 0 0]) )\r\n%% s = 46\r\ntcp = scorebreakdown(46);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 13;2 0 12;3 2 9;4 1 8;4 4 6;5 0 7;5 3 5;6 2 4;6 5 2;7 1 3;7 4 1;8 0 2;8 3 0]) )\r\n%% s = 8\r\ntcp = scorebreakdown(8);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 1]) )\r\n%% s = 31\r\ntcp = scorebreakdown(31);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 8;2 0 7;3 2 4;4 1 3;4 4 1;5 0 2;5 3 0]) )\r\n%% s = 42\r\ntcp = scorebreakdown(42);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 14;2 1 10;3 0 9;3 3 7;4 2 6;5 1 5;5 4 3;6 0 4;6 3 2;6 6 0;7 2 1;8 1 0]) )\r\n%% s = 5\r\ntcp = scorebreakdown(5);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 0]) )\r\n%% s = 56\r\ntcp = scorebreakdown(56);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 17;2 2 14;3 1 13;4 0 12;4 3 10;5 2 9;5 5 7;6 1 8;6 4 6;7 0 7;7 3 5;7 6 3;8 2 4;8 5 2;8 8 0;9 1 3;9 4 1;10 0 2;10 3 0]) )\r\n%% s = 36\r\ntcp = scorebreakdown(36);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 12;2 1 8;3 0 7;3 3 5;4 2 4;5 1 3;5 4 1;6 0 2;6 3 0]) )\r\n%% s = 60\r\ntcp = scorebreakdown(60);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 20;2 1 16;3 0 15;3 3 13;4 2 12;5 1 11;5 4 9;6 0 10;6 3 8;6 6 6;7 2 7;7 5 5;8 1 6;8 4 4;8 7 2;9 0 5;9 3 3;9 6 1;10 2 2;10 5 0;11 1 1;12 0 0]) )\r\n%% s = 43\r\ntcp = scorebreakdown(43);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 12;2 0 11;3 2 8;4 1 7;4 4 5;5 0 6;5 3 4;6 2 3;6 5 1;7 1 2;7 4 0;8 0 1]) )\r\n%% s = 62\r\ntcp = scorebreakdown(62);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 19;2 2 16;3 1 15;4 0 14;4 3 12;5 2 11;5 5 9;6 1 10;6 4 8;7 0 9;7 3 7;7 6 5;8 2 6;8 5 4;8 8 2;9 1 5;9 4 3;9 7 1;10 0 4;10 3 2;10 6 0;11 2 1;12 1 0]) )\r\n%% s = 69\r\ntcp = scorebreakdown(69);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 23;2 1 19;3 0 18;3 3 16;4 2 15;5 1 14;5 4 12;6 0 13;6 3 11;6 6 9;7 2 10;7 5 8;8 1 9;8 4 7;8 7 5;9 0 8;9 3 6;9 6 4;9 9 2;10 2 5;10 5 3;10 8 1;11 1 4;11 4 2;11 7 0;12 0 3;12 3 1;13 2 0]) )\r\n%% s = 63\r\ntcp = scorebreakdown(63);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 21;2 1 17;3 0 16;3 3 14;4 2 13;5 1 12;5 4 10;6 0 11;6 3 9;6 6 7;7 2 8;7 5 6;8 1 7;8 4 5;8 7 3;9 0 6;9 3 4;9 6 2;9 9 0;10 2 3;10 5 1;11 1 2;11 4 0;12 0 1]) )\r\n%% s = 71\r\ntcp = scorebreakdown(71);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 22;2 2 19;3 1 18;4 0 17;4 3 15;5 2 14;5 5 12;6 1 13;6 4 11;7 0 12;7 3 10;7 6 8;8 2 9;8 5 7;8 8 5;9 1 8;9 4 6;9 7 4;10 0 7;10 3 5;10 6 3;10 9 1;11 2 4;11 5 2;11 8 0;12 1 3;12 4 1;13 0 2;13 3 0]) )\r\n%% s = 81\r\ntcp = scorebreakdown(81);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 27;2 1 23;3 0 22;3 3 20;4 2 19;5 1 18;5 4 16;6 0 17;6 3 15;6 6 13;7 2 14;7 5 12;8 1 13;8 4 11;8 7 9;9 0 12;9 3 10;9 6 8;9 9 6;10 2 9;10 5 7;10 8 5;11 1 8;11 4 6;11 7 4;11 10 2;12 0 7;12 3 5;12 6 3;12 9 1;13 2 4;13 5 2;13 8 0;14 1 3;14 4 1;15 0 2;15 3 0]) )\r\n%% s = 123\r\ntcp = scorebreakdown(123);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 41;2 1 37;3 0 36;3 3 34;4 2 33;5 1 32;5 4 30;6 0 31;6 3 29;6 6 27;7 2 28;7 5 26;8 1 27;8 4 25;8 7 23;9 0 26;9 3 24;9 6 22;9 9 20;10 2 23;10 5 21;10 8 19;11 1 22;11 4 20;11 7 18;11 10 16;12 0 21;12 3 19;12 6 17;12 9 15;12 12 13;13 2 18;13 5 16;13 8 14;13 11 12;14 1 17;14 4 15;14 7 13;14 10 11;14 13 9;15 0 16;15 3 14;15 6 12;15 9 10;15 12 8;15 15 6;16 2 13;16 5 11;16 8 9;16 11 7;16 14 5;17 1 12;17 4 10;17 7 8;17 10 6;17 13 4;17 16 2;18 0 11;18 3 9;18 6 7;18 9 5;18 12 3;18 15 1;19 2 8;19 5 6;19 8 4;19 11 2;19 14 0;20 1 7;20 4 5;20 7 3;20 10 1;21 0 6;21 3 4;21 6 2;21 9 0;22 2 3;22 5 1;23 1 2;23 4 0;24 0 1]) )\r\n%% s = 145\r\ntcp = scorebreakdown(145);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 46;2 0 45;3 2 42;4 1 41;4 4 39;5 0 40;5 3 38;6 2 37;6 5 35;7 1 36;7 4 34;7 7 32;8 0 35;8 3 33;8 6 31;9 2 32;9 5 30;9 8 28;10 1 31;10 4 29;10 7 27;10 10 25;11 0 30;11 3 28;11 6 26;11 9 24;12 2 27;12 5 25;12 8 23;12 11 21;13 1 26;13 4 24;13 7 22;13 10 20;13 13 18;14 0 25;14 3 23;14 6 21;14 9 19;14 12 17;15 2 22;15 5 20;15 8 18;15 11 16;15 14 14;16 1 21;16 4 19;16 7 17;16 10 15;16 13 13;16 16 11;17 0 20;17 3 18;17 6 16;17 9 14;17 12 12;17 15 10;18 2 17;18 5 15;18 8 13;18 11 11;18 14 9;18 17 7;19 1 16;19 4 14;19 7 12;19 10 10;19 13 8;19 16 6;19 19 4;20 0 15;20 3 13;20 6 11;20 9 9;20 12 7;20 15 5;20 18 3;21 2 12;21 5 10;21 8 8;21 11 6;21 14 4;21 17 2;21 20 0;22 1 11;22 4 9;22 7 7;22 10 5;22 13 3;22 16 1;23 0 10;23 3 8;23 6 6;23 9 4;23 12 2;23 15 0;24 2 7;24 5 5;24 8 3;24 11 1;25 1 6;25 4 4;25 7 2;25 10 0;26 0 5;26 3 3;26 6 1;27 2 2;27 5 0;28 1 1;29 0 0]) )\r\n%% Some random checks\r\nfor k = 1:20\r\n    s = randi([5 145]);\r\n    tcp = scorebreakdown(s);\r\n    assert( all(tcp(:,1) \u003e= tcp(:,2)) )\r\n    assert( all(tcp*[5;2;3] == s) )\r\nend","published":true,"deleted":false,"likes_count":7,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-24T13:06:10.000Z","deleted_by":null,"deleted_at":null,"solvers_count":115,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-30T18:06:54.000Z","updated_at":"2026-04-01T14:47:08.000Z","published_at":"2022-10-24T13:06:10.000Z","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:t\u003eGiven a natural number \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003es\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (\u0026gt; 4), representing a rugby team's score, return an \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-by-3 matrix representing all \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 possible combinations of tries, conversions, and penalties (or drop goals) that would result in such a score. The first column of the matrix represents the number of tries, the second column the number of conversions, the third column the number of penalties or drop goals. The order of the rows is not important, as long as all possibilities are uniquely represented.\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\u003eIn rugby, a try scores 5 points, a conversion scores 2, and a penalty or drop goal scores 3. However, a conversion can only be attempted after scoring a try. Hence the number of conversions can never be more than the number of tries.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[tcp = scorebreakdown(12)\\n\\ntcp =\\n     2     1     0\\n     0     0     4\\n     ]]\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\u003eTwo tries = 2*5 = 10 points. One conversion = 2 points. Total = 10 + 2 = 12.\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\u003eFour penalties = 4*3 = 12 points.\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\u003eNote that 1 try, 2 conversions, and 1 penalty would total 12 points, but is not allowed because it is not possible to have more conversions than tries.\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(This problem can be treated as finding all integer linear combinations of 5, 2, and 3, such that 5a + 2b + 3c = s, but with a restriction: b \u0026lt;= a.)\u003c/w:t\u003e\u003c/w:r\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\"}]}"}],"problem_search":{"errors":[],"problems":[{"id":56508,"title":"Cricket - Represent Average in \"Dulkars\" and \"Ses\"","description":"Sachin Tendulkar's Test average was 53.78. So if Tendulkar = 53.78, one dulkar = 5.378. Similarly, Roger Twose's average was 25.12. So if Twose = 25.12, one se = 12.56.\r\nGiven a batter's average x, return a 2-element vector v = [s d] that represents the number of whole (integer) units of Ses (12.56) and Dulkars (5.38) that most closely represents x. That is, , where .\r\nFor example, if x = 31.12, v = [2 1]:\r\n","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: 434.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 217.25px; transform-origin: 407px 217.25px; vertical-align: baseline; \"\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: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; 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: 359px 8px; transform-origin: 359px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSachin Tendulkar's Test average was 53.78. So if Tendulkar = 53.78, one dulkar = 5.378. Similarly, Roger Twose's average was 25.12. So if Twose = 25.12, one se = 12.56.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42.5px; 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: 384px 21.25px; text-align: left; transform-origin: 384px 21.25px; white-space: pre-wrap; 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: 80px 8px; transform-origin: 80px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a batter's average \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: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\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: 86px 8px; transform-origin: 86px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return a 2-element vector \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: 36px 8px; transform-origin: 36px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 36px 8.5px; transform-origin: 36px 8.5px; \"\u003ev = [s d]\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: 172px 8px; transform-origin: 172px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e that represents the number of whole (integer) units of Ses (12.56) and Dulkars (5.38) that most closely represents \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: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\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: 29.5px 8px; transform-origin: 29.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. That is, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 120px; height: 18px;\" width=\"120\" height=\"18\"\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: 25px 8px; transform-origin: 25px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, where \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAG8AAAAkCAYAAACHWmTPAAAFdUlEQVRoQ+2aO49WVRSG4Qco8VJRECNaWGkCVmALopWxAAOFCYmKJjQkaiCGAsQLnQW3QI0IBY0GaSwkJgZNJIFQIFbGSi7/ANcz2e9ksdznts/5JudMzklWvpnv7LX32utd95m1a+ZnshpYO1nJZ8HXzOBN2Ahm8GbwJqyBCYs+e94M3kI18Izt/pLRDqPvjG4s9LSyzbdm2P6x7/6q2U738kva8iytG7Pn7TIBDxhtTre7a58vlOl24Vzf2gk7wynH7PdDNSe/Ye++78iDTs4bvWZ0bczg6V6P0g8n7fPDhcNQdsD7xnbKaGPythP2ua3B2D639wc78rAvAD6NmGMHj9Dyb9LnO/aJhY/xed6EIjJIRnmIwMzJ/GcCrivPbwnA0YPnQ8uzJvS9AZDL5Zqqba91OA8wpFiB+YF9dzqzh97z6kICQ4ZaZaT/23PsnkeY2JeU8moHRcalKGav0XvJ2tts9cAWLYWnls9jIc14ridvxAvjI88EOMKrzqnjiaF59J6n0NKU/Ov0+7K9/MnoKbfoxxaAPEwe0WLp0hJFiaViwoichuG9aBQjhnLifntH0RJ5ckZDyqB4Wy7a2nqeSuHbSRAU8ndGqLYXrVpHaFhvRCn8hNEfaaEu13V/Dxw56bjRpQXIjVwKe5/Yz18bobOfHTBe9vv2C2B8ZkRO78KzXLQ1gaeKiFh+0YiwQzjBAobKQVyKMHI07a1zrtrvWC5Pk5w5UFHmHSM8Dk/j0nV9V26Prt8R9vCy1xMjlXKMGhgURvmm0Q9GV9JazyMwdX7kaVSK4rLvr1DIr2nHIXou9kN4jMEnal+ooHhdrIsyP7bFXxkh/9tGK9Hc60wZNt5FxenzNbnri3RnjEm5TDzoA714Hvb91PE0gscm243wOpSnuI03kmT7FBAc7kNarMoUclhXVbE1AYkXYBTRipv4+ryX3PKqCAx7R0CjV+V4coDWhiNVehzocw6HMa7q03N5j8s1397zXinwmtgfkp9Lni6tgvZXPiNMx/6PNblQCg96YCKTC5E5nlrwvPXjfYx/hsoZMgzyZ64aU64tHYl52UtAg6drq6BzYlVIxUz+BsyqIiZOZLwBVBY+TYWAn9lhGVRHfRvlNiFRIa90JObPaNMW5ADu2ipojzhd8f2fclc02ByPxmuVLUcTeCpQSLo8Q+QPH45z4yOFDc7rMxLTTLQk7JZ6K3xxEqIUgBxnk/HHAqxuvEYj7yvYZdmawGOhV2ZVmOtyWSmVUJwrejy4fdoReW+fBr/LvfxaPypT/kUOBtFVDuCnKwKTtVTM2aItBx6h8qMQHr1CVUmVXMwbQk6pMc/2qWhVtSFnHyMouWcMdTIk9qqKBOLxozL9OSzLE8GTlcTFXqm5aQcxe4PRTSMaz6rH7xPBiyFa7wGBJzfgrVNsbNJ3B4MsAaUtTxyVqf+rK4JiYaKirZIngqcNomIlTG4jJVtdrK4v8yW87x/xSPIBVRmhhQcPf9KIP8iWemBs9ldiyoLscVSmiKO/IFQZASlFYVWyVxZtETwP0p7kRcRfDsWFc+7rwxNCNZX3PgSzlvzAMIDihH6MeaD2wVj8gKDq0nXfe+Nivy+Nfmm5UUmfp61prJlCnUlfkLuaCjC1Ga14InhcdJ3RLSP+Z2RTOvh3+zxnlOvzsLIjRoCskVnT6AzA36rYG3CJ+5eN+gwCPD4Y5TdGqprbYFfa52lvdPluOKjJ8zvxtKk221xUa4jtzxmN9d8VAHGLM8q6u5X2eV301WvtkOCp4FipIXCvi68G5qHA06zysCmlrtpcDTobzR2GAo9wSRHQJ8GPRilTEWQo8KZy31Ul5wzehOGcwZvBm7AGJiz67HkTBu8/mGF2NLv0BZQAAAAASUVORK5CYII=\" style=\"width: 55.5px; height: 18px;\" width=\"55.5\" height=\"18\"\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: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21.5px; 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: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; 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: 48.5px 8px; transform-origin: 48.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, if \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: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\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: 30px 8px; transform-origin: 30px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e = 31.12, \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: 36px 8px; transform-origin: 36px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 36px 8.5px; transform-origin: 36px 8.5px; \"\u003ev = [2 1]\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: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 301.5px; 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: 384px 150.75px; text-align: left; transform-origin: 384px 150.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 399px;height: 296px\" 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\" alt=\"A table showing various possible combinations of s and d, and the resulting value of 12.56*s + 5.38*d. The difference between this value and the target value of 31.12 is shown with color coding. The smallest difference is highlighted, corresponding to s = 2 and d = 1 (for which 12.56*s + 5.38*d is 30.5)\" data-image-state=\"image-loaded\" width=\"399\" height=\"296\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function v = sedulkar(x)\r\nv = x;\r\nend","test_suite":"%% x = 2.21\r\nassert( isequal(sedulkar(2.21),[0 0]) )\r\n%% x = 8.68\r\nassert( isequal(sedulkar(8.68),[0 2]) )\r\n%% x = 10.14\r\nassert( isequal(sedulkar(10.14),[0 2]) )\r\n%% x = 12.22\r\nassert( isequal(sedulkar(12.22),[1 0]) )\r\n%% x = 14.76\r\nassert( isequal(sedulkar(14.76),[0 3]) )\r\n%% x = 18.62\r\nassert( isequal(sedulkar(18.62),[1 1]) )\r\n%% x = 22.39\r\nassert( isequal(sedulkar(22.39),[0 4]) )\r\n%% x = 22.89\r\nassert( isequal(sedulkar(22.89),[1 2]) )\r\n%% x = 25.4\r\nassert( isequal(sedulkar(25.4),[2 0]) )\r\n%% x = 26.84\r\nassert( isequal(sedulkar(26.84),[0 5]) )\r\n%% x = 33.35\r\nassert( isequal(sedulkar(33.35),[1 4]) )\r\n%% x = 39.59\r\nassert( isequal(sedulkar(39.59),[1 5]) )\r\n%% x = 41.5\r\nassert( isequal(sedulkar(41.5),[2 3]) )\r\n%% x = 43.37\r\nassert( isequal(sedulkar(43.37),[3 1]) )\r\n%% x = 46.45\r\nassert( isequal(sedulkar(46.45),[2 4]) )\r\n%% x = 50.51\r\nassert( isequal(sedulkar(50.51),[4 0]) )\r\n%% x = 56.16\r\nassert( isequal(sedulkar(56.16),[4 1]) )\r\n%% x = 62.71\r\nassert( isequal(sedulkar(62.71),[2 7]) )\r\n%% x = 64.83\r\nassert( isequal(sedulkar(64.83),[3 5]) )\r\n%% x = 66.42\r\nassert( isequal(sedulkar(66.42),[4 3]) )\r\n%% x = 75.1\r\nassert( isequal(sedulkar(75.1),[0 14]) )\r\n%% x = 70.87\r\nassert( isequal(sedulkar(70.87),[1 11]) )","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-11-08T15:13:29.000Z","deleted_by":null,"deleted_at":null,"solvers_count":28,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-11-07T18:47:37.000Z","updated_at":"2025-12-06T13:00:09.000Z","published_at":"2022-11-08T15:13:29.000Z","restored_at":null,"restored_by":null,"spam":false,"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:t\u003eSachin Tendulkar's Test average was 53.78. So if Tendulkar = 53.78, one dulkar = 5.378. Similarly, Roger Twose's average was 25.12. So if Twose = 25.12, one se = 12.56.\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 a batter's average \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return a 2-element vector \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev = [s d]\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that represents the number of whole (integer) units of Ses (12.56) and Dulkars (5.38) that most closely represents \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. That is, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ex \\\\approx 12.56s + 5.38d\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, where \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003es, d \\\\in \\\\mathbb{W}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\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\u003eFor example, if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = 31.12, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev = [2 1]\u003c/w:t\u003e\u003c/w:r\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=\\\"296\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"399\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A table showing various possible combinations of s and d, and the resulting value of 12.56*s + 5.38*d. The difference between this value and the target value of 31.12 is shown with color coding. The smallest difference is highlighted, corresponding to s = 2 and d = 1 (for which 12.56*s + 5.38*d is 30.5)\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" 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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56195,"title":"Possible Rugby Scores","description":"Given a natural number s (\u003e 4), representing a rugby team's score, return an n-by-3 matrix representing all n possible combinations of tries, conversions, and penalties (or drop goals) that would result in such a score. The first column of the matrix represents the number of tries, the second column the number of conversions, the third column the number of penalties or drop goals. The order of the rows is not important, as long as all possibilities are uniquely represented.\r\nIn rugby, a try scores 5 points, a conversion scores 2, and a penalty or drop goal scores 3. However, a conversion can only be attempted after scoring a try. Hence the number of conversions can never be more than the number of tries.\r\ntcp = scorebreakdown(12)\r\n\r\ntcp =\r\n     2     1     0\r\n     0     0     4\r\n     \r\nTwo tries = 2*5 = 10 points. One conversion = 2 points. Total = 10 + 2 = 12.\r\nFour penalties = 4*3 = 12 points.\r\nNote that 1 try, 2 conversions, and 1 penalty would total 12 points, but is not allowed because it is not possible to have more conversions than tries.\r\n(This problem can be treated as finding all integer linear combinations of 5, 2, and 3, such that 5a + 2b + 3c = s, but with a restriction: b \u003c= a.)","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: 431.1px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 215.55px; transform-origin: 407px 215.55px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 84.5px; 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: 384px 42.25px; text-align: left; transform-origin: 384px 42.25px; white-space: pre-wrap; 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: 76.5px 8px; transform-origin: 76.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a natural number \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: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003es\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: 164px 8px; transform-origin: 164px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (\u0026gt; 4), representing a rugby team's score, return an \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: 4px 8px; transform-origin: 4px 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: 90px 8px; transform-origin: 90px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-by-3 matrix representing all \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: 4px 8px; transform-origin: 4px 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: 30px 8px; transform-origin: 30px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e possible combinations of tries, conversions, and penalties (or drop goals) that would result in such a score. The first column of the matrix represents the number of tries, the second column the number of conversions, the third column the number of penalties or drop goals. The order of the rows is not important, as long as all possibilities are uniquely represented.\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: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; 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: 373.5px 8px; transform-origin: 373.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIn rugby, a try scores 5 points, a conversion scores 2, and a penalty or drop goal scores 3. However, a conversion can only be attempted after scoring a try. Hence the number of conversions can never be more than the number of tries.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 122.6px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 61.3px; transform-origin: 404px 61.3px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 96px 8.5px; tab-size: 4; transform-origin: 96px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003etcp = scorebreakdown(12)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003etcp =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 72px 8.5px; tab-size: 4; transform-origin: 72px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     2     1     0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 72px 8.5px; tab-size: 4; transform-origin: 72px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     0     0     4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     \u003c/span\u003e\u003c/span\u003e\u003c/div\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: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; 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: 235.5px 8px; transform-origin: 235.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eTwo tries = 2*5 = 10 points. One conversion = 2 points. Total = 10 + 2 = 12.\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: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; 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: 103px 8px; transform-origin: 103px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFour penalties = 4*3 = 12 points.\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: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; 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: 373px 8px; transform-origin: 373px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNote that 1 try, 2 conversions, and 1 penalty would total 12 points, but is not allowed because it is not possible to have more conversions than tries.\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: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; 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: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e(This problem can be treated as finding all integer linear combinations of 5, 2, and 3, such that 5a + 2b + 3c = s, but with a restriction: b \u0026lt;= a.)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function tcp = scorebreakdown(s)\r\n\r\ntcp = [s/5,s/2,s/3];\r\n\r\nend","test_suite":"%% s = 57\r\ntcp = scorebreakdown(57);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 19;2 1 15;3 0 14;3 3 12;4 2 11;5 1 10;5 4 8;6 0 9;6 3 7;6 6 5;7 2 6;7 5 4;8 1 5;8 4 3;8 7 1;9 0 4;9 3 2;9 6 0;10 2 1;11 1 0]) )\r\n%% s = 33\r\ntcp = scorebreakdown(33);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 11;2 1 7;3 0 6;3 3 4;4 2 3;5 1 2;5 4 0;6 0 1]) )\r\n%% s = 55\r\ntcp = scorebreakdown(55);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 16;2 0 15;3 2 12;4 1 11;4 4 9;5 0 10;5 3 8;6 2 7;6 5 5;7 1 6;7 4 4;7 7 2;8 0 5;8 3 3;8 6 1;9 2 2;9 5 0;10 1 1;11 0 0]) )\r\n%% s = 41\r\ntcp = scorebreakdown(41);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 12;2 2 9;3 1 8;4 0 7;4 3 5;5 2 4;5 5 2;6 1 3;6 4 1;7 0 2;7 3 0]) )\r\n%% s = 21\r\ntcp = scorebreakdown(21);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 7;2 1 3;3 0 2;3 3 0]) )\r\n%% s = 17\r\ntcp = scorebreakdown(17);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 4;2 2 1;3 1 0]) )\r\n%% s = 27\r\ntcp = scorebreakdown(27);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 9;2 1 5;3 0 4;3 3 2;4 2 1;5 1 0]) )\r\n%% s = 28\r\ntcp = scorebreakdown(28);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 7;2 0 6;3 2 3;4 1 2;4 4 0;5 0 1]) )\r\n%% s = 9\r\ntcp = scorebreakdown(9);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 3]) )\r\n%% s = 14\r\ntcp = scorebreakdown(14);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 3;2 2 0]) )\r\n%% s = 20\r\ntcp = scorebreakdown(20);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 5;2 2 2;3 1 1;4 0 0]) )\r\n%% s = 46\r\ntcp = scorebreakdown(46);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 13;2 0 12;3 2 9;4 1 8;4 4 6;5 0 7;5 3 5;6 2 4;6 5 2;7 1 3;7 4 1;8 0 2;8 3 0]) )\r\n%% s = 8\r\ntcp = scorebreakdown(8);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 1]) )\r\n%% s = 31\r\ntcp = scorebreakdown(31);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 8;2 0 7;3 2 4;4 1 3;4 4 1;5 0 2;5 3 0]) )\r\n%% s = 42\r\ntcp = scorebreakdown(42);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 14;2 1 10;3 0 9;3 3 7;4 2 6;5 1 5;5 4 3;6 0 4;6 3 2;6 6 0;7 2 1;8 1 0]) )\r\n%% s = 5\r\ntcp = scorebreakdown(5);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 0]) )\r\n%% s = 56\r\ntcp = scorebreakdown(56);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 17;2 2 14;3 1 13;4 0 12;4 3 10;5 2 9;5 5 7;6 1 8;6 4 6;7 0 7;7 3 5;7 6 3;8 2 4;8 5 2;8 8 0;9 1 3;9 4 1;10 0 2;10 3 0]) )\r\n%% s = 36\r\ntcp = scorebreakdown(36);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 12;2 1 8;3 0 7;3 3 5;4 2 4;5 1 3;5 4 1;6 0 2;6 3 0]) )\r\n%% s = 60\r\ntcp = scorebreakdown(60);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 20;2 1 16;3 0 15;3 3 13;4 2 12;5 1 11;5 4 9;6 0 10;6 3 8;6 6 6;7 2 7;7 5 5;8 1 6;8 4 4;8 7 2;9 0 5;9 3 3;9 6 1;10 2 2;10 5 0;11 1 1;12 0 0]) )\r\n%% s = 43\r\ntcp = scorebreakdown(43);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 12;2 0 11;3 2 8;4 1 7;4 4 5;5 0 6;5 3 4;6 2 3;6 5 1;7 1 2;7 4 0;8 0 1]) )\r\n%% s = 62\r\ntcp = scorebreakdown(62);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 19;2 2 16;3 1 15;4 0 14;4 3 12;5 2 11;5 5 9;6 1 10;6 4 8;7 0 9;7 3 7;7 6 5;8 2 6;8 5 4;8 8 2;9 1 5;9 4 3;9 7 1;10 0 4;10 3 2;10 6 0;11 2 1;12 1 0]) )\r\n%% s = 69\r\ntcp = scorebreakdown(69);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 23;2 1 19;3 0 18;3 3 16;4 2 15;5 1 14;5 4 12;6 0 13;6 3 11;6 6 9;7 2 10;7 5 8;8 1 9;8 4 7;8 7 5;9 0 8;9 3 6;9 6 4;9 9 2;10 2 5;10 5 3;10 8 1;11 1 4;11 4 2;11 7 0;12 0 3;12 3 1;13 2 0]) )\r\n%% s = 63\r\ntcp = scorebreakdown(63);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 21;2 1 17;3 0 16;3 3 14;4 2 13;5 1 12;5 4 10;6 0 11;6 3 9;6 6 7;7 2 8;7 5 6;8 1 7;8 4 5;8 7 3;9 0 6;9 3 4;9 6 2;9 9 0;10 2 3;10 5 1;11 1 2;11 4 0;12 0 1]) )\r\n%% s = 71\r\ntcp = scorebreakdown(71);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 22;2 2 19;3 1 18;4 0 17;4 3 15;5 2 14;5 5 12;6 1 13;6 4 11;7 0 12;7 3 10;7 6 8;8 2 9;8 5 7;8 8 5;9 1 8;9 4 6;9 7 4;10 0 7;10 3 5;10 6 3;10 9 1;11 2 4;11 5 2;11 8 0;12 1 3;12 4 1;13 0 2;13 3 0]) )\r\n%% s = 81\r\ntcp = scorebreakdown(81);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 27;2 1 23;3 0 22;3 3 20;4 2 19;5 1 18;5 4 16;6 0 17;6 3 15;6 6 13;7 2 14;7 5 12;8 1 13;8 4 11;8 7 9;9 0 12;9 3 10;9 6 8;9 9 6;10 2 9;10 5 7;10 8 5;11 1 8;11 4 6;11 7 4;11 10 2;12 0 7;12 3 5;12 6 3;12 9 1;13 2 4;13 5 2;13 8 0;14 1 3;14 4 1;15 0 2;15 3 0]) )\r\n%% s = 123\r\ntcp = scorebreakdown(123);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 41;2 1 37;3 0 36;3 3 34;4 2 33;5 1 32;5 4 30;6 0 31;6 3 29;6 6 27;7 2 28;7 5 26;8 1 27;8 4 25;8 7 23;9 0 26;9 3 24;9 6 22;9 9 20;10 2 23;10 5 21;10 8 19;11 1 22;11 4 20;11 7 18;11 10 16;12 0 21;12 3 19;12 6 17;12 9 15;12 12 13;13 2 18;13 5 16;13 8 14;13 11 12;14 1 17;14 4 15;14 7 13;14 10 11;14 13 9;15 0 16;15 3 14;15 6 12;15 9 10;15 12 8;15 15 6;16 2 13;16 5 11;16 8 9;16 11 7;16 14 5;17 1 12;17 4 10;17 7 8;17 10 6;17 13 4;17 16 2;18 0 11;18 3 9;18 6 7;18 9 5;18 12 3;18 15 1;19 2 8;19 5 6;19 8 4;19 11 2;19 14 0;20 1 7;20 4 5;20 7 3;20 10 1;21 0 6;21 3 4;21 6 2;21 9 0;22 2 3;22 5 1;23 1 2;23 4 0;24 0 1]) )\r\n%% s = 145\r\ntcp = scorebreakdown(145);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 46;2 0 45;3 2 42;4 1 41;4 4 39;5 0 40;5 3 38;6 2 37;6 5 35;7 1 36;7 4 34;7 7 32;8 0 35;8 3 33;8 6 31;9 2 32;9 5 30;9 8 28;10 1 31;10 4 29;10 7 27;10 10 25;11 0 30;11 3 28;11 6 26;11 9 24;12 2 27;12 5 25;12 8 23;12 11 21;13 1 26;13 4 24;13 7 22;13 10 20;13 13 18;14 0 25;14 3 23;14 6 21;14 9 19;14 12 17;15 2 22;15 5 20;15 8 18;15 11 16;15 14 14;16 1 21;16 4 19;16 7 17;16 10 15;16 13 13;16 16 11;17 0 20;17 3 18;17 6 16;17 9 14;17 12 12;17 15 10;18 2 17;18 5 15;18 8 13;18 11 11;18 14 9;18 17 7;19 1 16;19 4 14;19 7 12;19 10 10;19 13 8;19 16 6;19 19 4;20 0 15;20 3 13;20 6 11;20 9 9;20 12 7;20 15 5;20 18 3;21 2 12;21 5 10;21 8 8;21 11 6;21 14 4;21 17 2;21 20 0;22 1 11;22 4 9;22 7 7;22 10 5;22 13 3;22 16 1;23 0 10;23 3 8;23 6 6;23 9 4;23 12 2;23 15 0;24 2 7;24 5 5;24 8 3;24 11 1;25 1 6;25 4 4;25 7 2;25 10 0;26 0 5;26 3 3;26 6 1;27 2 2;27 5 0;28 1 1;29 0 0]) )\r\n%% Some random checks\r\nfor k = 1:20\r\n    s = randi([5 145]);\r\n    tcp = scorebreakdown(s);\r\n    assert( all(tcp(:,1) \u003e= tcp(:,2)) )\r\n    assert( all(tcp*[5;2;3] == s) )\r\nend","published":true,"deleted":false,"likes_count":7,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-24T13:06:10.000Z","deleted_by":null,"deleted_at":null,"solvers_count":115,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-30T18:06:54.000Z","updated_at":"2026-04-01T14:47:08.000Z","published_at":"2022-10-24T13:06:10.000Z","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:t\u003eGiven a natural number \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003es\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (\u0026gt; 4), representing a rugby team's score, return an \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-by-3 matrix representing all \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 possible combinations of tries, conversions, and penalties (or drop goals) that would result in such a score. The first column of the matrix represents the number of tries, the second column the number of conversions, the third column the number of penalties or drop goals. The order of the rows is not important, as long as all possibilities are uniquely represented.\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\u003eIn rugby, a try scores 5 points, a conversion scores 2, and a penalty or drop goal scores 3. However, a conversion can only be attempted after scoring a try. Hence the number of conversions can never be more than the number of tries.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[tcp = scorebreakdown(12)\\n\\ntcp =\\n     2     1     0\\n     0     0     4\\n     ]]\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\u003eTwo tries = 2*5 = 10 points. One conversion = 2 points. Total = 10 + 2 = 12.\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\u003eFour penalties = 4*3 = 12 points.\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\u003eNote that 1 try, 2 conversions, and 1 penalty would total 12 points, but is not allowed because it is not possible to have more conversions than tries.\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(This problem can be treated as finding all integer linear combinations of 5, 2, and 3, such that 5a + 2b + 3c = s, but with a restriction: b \u0026lt;= a.)\u003c/w:t\u003e\u003c/w:r\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\"}]}"}],"term":"tag:\"linear 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