{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2025-12-14T01:33:56.000Z","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":"2025-12-14T00:00:00.000Z","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":3100,"title":"Rumis Scorer 2","description":"\u003chttp://en.wikipedia.org/wiki/Rumis Rumis\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\r\n\r\nFor this problem, you will be provided a completed rectangular board where there are anywhere from two to six players. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The board will be from two to six levels high and completely filled. It will also be a character array wherein the players' squares are represented by a single character per square. In line with the game's rules, all players' colors will be represented on the first level. See the test suite for examples.\r\n\r\nWrite a function to count the squares visible when viewed from above to determine who won each round.\r\n\r\n\u003c\u003chttp://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\u003e\u003e","description_html":"\u003cp\u003e\u003ca href = \"http://en.wikipedia.org/wiki/Rumis\"\u003eRumis\u003c/a\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/p\u003e\u003cp\u003eFor this problem, you will be provided a completed rectangular board where there are anywhere from two to six players. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The board will be from two to six levels high and completely filled. It will also be a character array wherein the players' squares are represented by a single character per square. In line with the game's rules, all players' colors will be represented on the first level. See the test suite for examples.\u003c/p\u003e\u003cp\u003eWrite a function to count the squares visible when viewed from above to determine who won each round.\u003c/p\u003e\u003cimg src = \"http://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\"\u003e","function_template":"function [winner] = rumis_scorer2(board)\r\n\r\nwinner = 'r';\r\n\r\nend\r\n","test_suite":"%%\r\nclear board\r\nboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\nboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n%blue wins 22 to 20\r\nassert(isequal(rumis_scorer2(board),'b'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['ppbrpbr';'rbrpbrb';'bbrbbrb';'rbrrppr';'bbrpbbr';'bbprrbr'];\r\nboard(:,:,2) = ['brbpbrb';'rrpbbpr';'pprbrbr';'brprbrr';'rbrrpbr';'brppbbr'];\r\n%red wins 18 to 15 (b) to 9 (p)\r\nassert(isequal(rumis_scorer2(board),'r'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['brbrb';'rrrbb';'bggob';'ggoro';'bbrbr'];\r\nboard(:,:,2) = ['bobrb';'roggr';'bogor';'bgoor';'rgrrr'];\r\nboard(:,:,3) = ['bobrg';'rrbgr';'rooor';'brbrg';'rgrrr'];\r\nboard(:,:,4) = ['borbg';'rrbbr';'bbrbr';'bboog';'rgrog'];\r\nboard(:,:,5) = ['robbr';'bbror';'borbr';'rrobb';'boobg'];\r\n%blue wins 10 to 8 (r) to 6 (o) to 1 (g)\r\nassert(isequal(rumis_scorer2(board),'b'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['rrbrryr';'rbrrryb';'brrrbyb';'rbrbyyr';'rbrbryr';'brrrybr'];\r\nboard(:,:,2) = ['brbybrb';'rbybbbr';'bbrbrbr';'brbryrr';'rbrrbbr';'brbbybr'];\r\nboard(:,:,3) = ['byyybry';'ybbbyyr';'bbrbyyr';'brbyyrr';'rbyyybr';'brybybr'];\r\n%yellow wins 16 to 15 (b) to 11 (r)\r\nassert(isequal(rumis_scorer2(board),'y'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['prbrby';'pprbby';'bggoyb';'gpyoro';'bppbyr'];\r\nboard(:,:,2) = ['pobrby';'rogygr';'bogoyr';'bgyoor';'rgyyyr'];\r\nboard(:,:,3) = ['ppbrgy';'rpybgr';'roooyr';'brybrg';'rgryrr'];\r\nboard(:,:,4) = ['borbgy';'rpbybr';'bbrbry';'bbyoog';'rgrpog'];\r\nboard(:,:,5) = ['robbry';'bprory';'borbry';'rroybb';'booybg'];\r\nboard(:,:,6) = ['oobyry';'bpryor';'bopbyr';'rooppb';'boobyg'];\r\n%orange wins 8 to 7 (b) to 5 (r,y) to 4 (p) to 1 (g)\r\nassert(isequal(rumis_scorer2(board),'o'))\r\n\r\n%% anti-cheating case\r\nind = randi(5);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['ppbrpbr';'rbrpbrb';'bbrbbrb';'rbrrppr';'bbrpbbr';'bbprrbr'];\r\n\t\tboard(:,:,2) = ['brbpbrb';'rrpbbpr';'pprbrbr';'brprbrr';'rbrrpbr';'brppbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bggob';'ggoro';'bbrbr'];\r\n\t\tboard(:,:,2) = ['bobrb';'roggr';'bogor';'bgoor';'rgrrr'];\r\n\t\tboard(:,:,3) = ['bobrg';'rrbgr';'rooor';'brbrg';'rgrrr'];\r\n\t\tboard(:,:,4) = ['borbg';'rrbbr';'bbrbr';'bboog';'rgrog'];\r\n\t\tboard(:,:,5) = ['robbr';'bbror';'borbr';'rrobb';'boobg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrryr';'rbrrryb';'brrrbyb';'rbrbyyr';'rbrbryr';'brrrybr'];\r\n\t\tboard(:,:,2) = ['brbybrb';'rbybbbr';'bbrbrbr';'brbryrr';'rbrrbbr';'brbbybr'];\r\n\t\tboard(:,:,3) = ['byyybry';'ybbbyyr';'bbrbyyr';'brbyyrr';'rbyyybr';'brybybr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'y'))\r\n\tcase 5\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['prbrby';'pprbby';'bggoyb';'gpyoro';'bppbyr'];\r\n\t\tboard(:,:,2) = ['pobrby';'rogygr';'bogoyr';'bgyoor';'rgyyyr'];\r\n\t\tboard(:,:,3) = ['ppbrgy';'rpybgr';'roooyr';'brybrg';'rgryrr'];\r\n\t\tboard(:,:,4) = ['borbgy';'rpbybr';'bbrbry';'bbyoog';'rgrpog'];\r\n\t\tboard(:,:,5) = ['robbry';'bprory';'borbry';'rroybb';'booybg'];\r\n\t\tboard(:,:,6) = ['oobyry';'bpryor';'bopbyr';'rooppb';'boobyg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'o'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(5);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['ppbrpbr';'rbrpbrb';'bbrbbrb';'rbrrppr';'bbrpbbr';'bbprrbr'];\r\n\t\tboard(:,:,2) = ['brbpbrb';'rrpbbpr';'pprbrbr';'brprbrr';'rbrrpbr';'brppbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bggob';'ggoro';'bbrbr'];\r\n\t\tboard(:,:,2) = ['bobrb';'roggr';'bogor';'bgoor';'rgrrr'];\r\n\t\tboard(:,:,3) = ['bobrg';'rrbgr';'rooor';'brbrg';'rgrrr'];\r\n\t\tboard(:,:,4) = ['borbg';'rrbbr';'bbrbr';'bboog';'rgrog'];\r\n\t\tboard(:,:,5) = ['robbr';'bbror';'borbr';'rrobb';'boobg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrryr';'rbrrryb';'brrrbyb';'rbrbyyr';'rbrbryr';'brrrybr'];\r\n\t\tboard(:,:,2) = ['brbybrb';'rbybbbr';'bbrbrbr';'brbryrr';'rbrrbbr';'brbbybr'];\r\n\t\tboard(:,:,3) = ['byyybry';'ybbbyyr';'bbrbyyr';'brbyyrr';'rbyyybr';'brybybr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'y'))\r\n\tcase 5\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['prbrby';'pprbby';'bggoyb';'gpyoro';'bppbyr'];\r\n\t\tboard(:,:,2) = ['pobrby';'rogygr';'bogoyr';'bgyoor';'rgyyyr'];\r\n\t\tboard(:,:,3) = ['ppbrgy';'rpybgr';'roooyr';'brybrg';'rgryrr'];\r\n\t\tboard(:,:,4) = ['borbgy';'rpbybr';'bbrbry';'bbyoog';'rgrpog'];\r\n\t\tboard(:,:,5) = ['robbry';'bprory';'borbry';'rroybb';'booybg'];\r\n\t\tboard(:,:,6) = ['oobyry';'bpryor';'bopbyr';'rooppb';'boobyg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'o'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(5);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['ppbrpbr';'rbrpbrb';'bbrbbrb';'rbrrppr';'bbrpbbr';'bbprrbr'];\r\n\t\tboard(:,:,2) = ['brbpbrb';'rrpbbpr';'pprbrbr';'brprbrr';'rbrrpbr';'brppbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bggob';'ggoro';'bbrbr'];\r\n\t\tboard(:,:,2) = ['bobrb';'roggr';'bogor';'bgoor';'rgrrr'];\r\n\t\tboard(:,:,3) = ['bobrg';'rrbgr';'rooor';'brbrg';'rgrrr'];\r\n\t\tboard(:,:,4) = ['borbg';'rrbbr';'bbrbr';'bboog';'rgrog'];\r\n\t\tboard(:,:,5) = ['robbr';'bbror';'borbr';'rrobb';'boobg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrryr';'rbrrryb';'brrrbyb';'rbrbyyr';'rbrbryr';'brrrybr'];\r\n\t\tboard(:,:,2) = ['brbybrb';'rbybbbr';'bbrbrbr';'brbryrr';'rbrrbbr';'brbbybr'];\r\n\t\tboard(:,:,3) = ['byyybry';'ybbbyyr';'bbrbyyr';'brbyyrr';'rbyyybr';'brybybr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'y'))\r\n\tcase 5\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['prbrby';'pprbby';'bggoyb';'gpyoro';'bppbyr'];\r\n\t\tboard(:,:,2) = ['pobrby';'rogygr';'bogoyr';'bgyoor';'rgyyyr'];\r\n\t\tboard(:,:,3) = ['ppbrgy';'rpybgr';'roooyr';'brybrg';'rgryrr'];\r\n\t\tboard(:,:,4) = ['borbgy';'rpbybr';'bbrbry';'bbyoog';'rgrpog'];\r\n\t\tboard(:,:,5) = ['robbry';'bprory';'borbry';'rroybb';'booybg'];\r\n\t\tboard(:,:,6) = ['oobyry';'bpryor';'bopbyr';'rooppb';'boobyg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'o'))\r\nend","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":26769,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":36,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-03-21T01:22:06.000Z","updated_at":"2026-03-24T06:57:20.000Z","published_at":"2015-03-21T01:22:06.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/media/image1.JPEG\"}],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"http://en.wikipedia.org/wiki/Rumis\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eRumis\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, you will be provided a completed rectangular board where there are anywhere from two to six players. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The board will be from two to six levels high and completely filled. It will also be a character array wherein the players' squares are represented by a single character per square. In line with the game's rules, all players' colors will be represented on the first level. See the test suite for examples.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function to count the squares visible when viewed from above to determine who won each round.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"},{\"partUri\":\"/media/image1.JPEG\",\"contentType\":\"image/JPEG\",\"content\":\"data:image/JPEG;base64,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\"}]}"},{"id":3099,"title":"Rumis Scorer 1","description":"\u003chttp://en.wikipedia.org/wiki/Rumis Rumis\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\r\n\r\nFor this problem, you will be provided a completed 2-player rectangular board where the two players' colors are red and blue. The board will be two levels high and completely filled. It will also be a character array wherein the two players' squares are represented by 'r' or 'b'. See the test suite for examples.\r\n\r\nWrite a function to count the squares visible when viewed from above to determine who won each round.\r\n\r\n\u003c\u003chttp://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\u003e\u003e","description_html":"\u003cp\u003e\u003ca href = \"http://en.wikipedia.org/wiki/Rumis\"\u003eRumis\u003c/a\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/p\u003e\u003cp\u003eFor this problem, you will be provided a completed 2-player rectangular board where the two players' colors are red and blue. The board will be two levels high and completely filled. It will also be a character array wherein the two players' squares are represented by 'r' or 'b'. See the test suite for examples.\u003c/p\u003e\u003cp\u003eWrite a function to count the squares visible when viewed from above to determine who won each round.\u003c/p\u003e\u003cimg src = \"http://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\"\u003e","function_template":"function [winner] = rumis_scorer1(board)\r\n\r\nwinner = 'r';\r\n\r\nend\r\n","test_suite":"%%\r\nclear board\r\nboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\nboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n%blue wins 22 to 20\r\nassert(isequal(rumis_scorer1(board),'b'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['brbrb';'rrrbb';'bbrbb';'bbrrb';'bbrbr'];\r\nboard(:,:,2) = ['brbrb';'rrbbr';'bbrbr';'brbrr';'rbrrr'];\r\n%red wins 14 to 11\r\nassert(isequal(rumis_scorer1(board),'r'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['brb';'rrr';'bbb';'brb';'bbr'];\r\nboard(:,:,2) = ['brb';'rbr';'rbr';'brr';'rrr'];\r\n%red wins 10 to 5\r\nassert(isequal(rumis_scorer1(board),'r'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['rrbrrbr';'rbrrrrb';'brrrbrb';'rbrbrrr';'rbrbrbr';'brrrrbr'];\r\nboard(:,:,2) = ['brbbbrb';'rbbbbbr';'bbrbrbr';'brbrbrr';'rbrrbbr';'brbbbbr'];\r\n%blue wins 25 to 17\r\nassert(isequal(rumis_scorer1(board),'b'))\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bbrbb';'bbrrb';'bbrbr'];\r\n\t\tboard(:,:,2) = ['brbrb';'rrbbr';'bbrbr';'brbrr';'rbrrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brb';'rrr';'bbb';'brb';'bbr'];\r\n\t\tboard(:,:,2) = ['brb';'rbr';'rbr';'brr';'rrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrrbr';'rbrrrrb';'brrrbrb';'rbrbrrr';'rbrbrbr';'brrrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rbbbbbr';'bbrbrbr';'brbrbrr';'rbrrbbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bbrbb';'bbrrb';'bbrbr'];\r\n\t\tboard(:,:,2) = ['brbrb';'rrbbr';'bbrbr';'brbrr';'rbrrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brb';'rrr';'bbb';'brb';'bbr'];\r\n\t\tboard(:,:,2) = ['brb';'rbr';'rbr';'brr';'rrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrrbr';'rbrrrrb';'brrrbrb';'rbrbrrr';'rbrbrbr';'brrrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rbbbbbr';'bbrbrbr';'brbrbrr';'rbrrbbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bbrbb';'bbrrb';'bbrbr'];\r\n\t\tboard(:,:,2) = ['brbrb';'rrbbr';'bbrbr';'brbrr';'rbrrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brb';'rrr';'bbb';'brb';'bbr'];\r\n\t\tboard(:,:,2) = ['brb';'rbr';'rbr';'brr';'rrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrrbr';'rbrrrrb';'brrrbrb';'rbrbrrr';'rbrbrbr';'brrrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rbbbbbr';'bbrbrbr';'brbrbrr';'rbrrbbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\nend\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":26769,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":44,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-03-20T02:49:07.000Z","updated_at":"2026-03-04T14:57:42.000Z","published_at":"2015-03-20T02:49:07.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/media/image1.JPEG\"}],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"http://en.wikipedia.org/wiki/Rumis\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eRumis\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, you will be provided a completed 2-player rectangular board where the two players' colors are red and blue. The board will be two levels high and completely filled. It will also be a character array wherein the two players' squares are represented by 'r' or 'b'. See the test suite for examples.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function to count the squares visible when viewed from above to determine who won each round.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"},{\"partUri\":\"/media/image1.JPEG\",\"contentType\":\"image/JPEG\",\"content\":\"data:image/JPEG;base64,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\"}]}"},{"id":3101,"title":"Rumis Scorer 3","description":"\u003chttp://en.wikipedia.org/wiki/Rumis Rumis\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\r\n\r\nFor this problem, you will be provided a completed board of varying shapes with anywhere from two to six players, inclusive. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The character-array board will contain various stencils and maximum heights for each square. As an example, the following board represents an L with maximum heights varying from one to four depending upon location (zeros represent non-playable area):\r\n\r\n  1 2 3 4 4 4 4 4\r\n  1 2 3 4 4 4 4 4\r\n  1 2 3 4 4 4 4 4\r\n  1 2 3 4 4 4 4 4\r\n  0 0 0 0 3 3 3 3\r\n  0 0 0 0 2 2 2 2\r\n  0 0 0 0 1 1 1 1\r\n\r\nFor this problem, the board will be completely filled in, and, in line with the game's rules, all players' colors will be represented on the first level. Write a function to count the squares visible when viewed from above to determine who won each round. See the test suite for additional examples (including test case 2, which represents the completed board shown below).\r\n\r\n\u003c\u003chttp://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\u003e\u003e","description_html":"\u003cp\u003e\u003ca href = \"http://en.wikipedia.org/wiki/Rumis\"\u003eRumis\u003c/a\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/p\u003e\u003cp\u003eFor this problem, you will be provided a completed board of varying shapes with anywhere from two to six players, inclusive. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The character-array board will contain various stencils and maximum heights for each square. As an example, the following board represents an L with maximum heights varying from one to four depending upon location (zeros represent non-playable area):\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e1 2 3 4 4 4 4 4\r\n1 2 3 4 4 4 4 4\r\n1 2 3 4 4 4 4 4\r\n1 2 3 4 4 4 4 4\r\n0 0 0 0 3 3 3 3\r\n0 0 0 0 2 2 2 2\r\n0 0 0 0 1 1 1 1\r\n\u003c/pre\u003e\u003cp\u003eFor this problem, the board will be completely filled in, and, in line with the game's rules, all players' colors will be represented on the first level. Write a function to count the squares visible when viewed from above to determine who won each round. See the test suite for additional examples (including test case 2, which represents the completed board shown below).\u003c/p\u003e\u003cimg src = \"http://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\"\u003e","function_template":"function [winner] = rumis_scorer3(board,stencil)\r\n\r\nwinner = '';\r\n\r\nend\r\n","test_suite":"%%\r\nclear board stencil\r\nstencil = [\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t0 0 0 0 3 3 3 3;\r\n\t0 0 0 0 2 2 2 2;\r\n\t0 0 0 0 1 1 1 1;\r\n\t];\r\nboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\nboard(:,:,2) = [' rbrbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brbr';'        '];\r\nboard(:,:,3) = ['  brbbrb';'  rbbbbr';'  rbbrbr';'  bbrrrr';'    bbbr';'        ';'        '];\r\nboard(:,:,4) = ['   rbbrb';'   rbbbr';'   brrbr';'   rbrbr';'        ';'        ';'        '];\r\n%blue wins 23 to 21\r\nassert(isequal(rumis_scorer3(board,stencil),'b'))\r\n\r\n%% board shown above with two squares filled in (corners of 2nd and 4th levels)\r\nclear board stencil\r\nstencil = [\r\n\t1 1 1 1 1 1 1 1;\r\n\t1 2 2 2 2 2 2 1;\r\n\t1 2 3 3 3 3 2 1;\r\n\t1 2 3 4 4 3 2 1;\r\n\t1 2 3 4 4 3 2 1;\r\n\t1 2 3 3 3 3 2 1;\r\n\t1 2 2 2 2 2 2 1;\r\n\t1 1 1 1 1 1 1 1;\r\n\t];\r\nboard(:,:,1) = ['yyyyyyyr';'yyyyyyyr';'yyyyyrrr';'yyyyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yrrrgggb'];\r\nboard(:,:,2) = ['        ';' ryyyyb ';' ryyybb ';' rrygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\nboard(:,:,3) = ['        ';'        ';'  ggyy  ';'  gbyr  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\nboard(:,:,4) = ['        ';'        ';'        ';'   by   ';'   bb   ';'        ';'        ';'        '];\r\n%yellow wins 22 to 18 (r) to 14 (g) to 10 (b)\r\nassert(isequal(rumis_scorer3(board,stencil),'y'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t0 0 0 0 1 0 0 0 0;\r\n\t0 0 0 1 2 1 0 0 0;\r\n\t0 0 1 2 3 2 1 0 0;\r\n\t0 1 2 3 4 3 2 1 0;\r\n\t1 2 3 4 5 4 3 2 1;\r\n\t0 1 2 3 4 3 2 1 0;\r\n\t0 0 1 2 3 2 1 0 0;\r\n\t0 0 0 1 2 1 0 0 0;\r\n\t0 0 0 0 1 0 0 0 0;\r\n\t];\r\nboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' oobbppp ';'ooooopppo';' oobbbpp ';'  ooooo  ';'   ooo   ';'    o    '];\r\nboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'  oobbp  ';' oobbppp ';'  oobbp  ';'   bob   ';'    o    ';'         '];\r\nboard(:,:,3) = ['         ';'         ';'    b    ';'   obb   ';'  oobbp  ';'   oob   ';'    o    ';'         ';'         '];\r\nboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'   ooo   ';'    o    ';'         ';'         ';'         '];\r\nboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n%orange wins 25 to 9 (b) to 7 (p)\r\nassert(isequal(rumis_scorer3(board,stencil),'o'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t2 2 3 3 3 3 2 2;\r\n\t2 2 4 4 4 4 2 2;\r\n\t3 4 5 6 6 5 4 3;\r\n\t3 4 6 7 7 6 4 3;\r\n\t3 4 6 7 7 6 4 3;\r\n\t3 4 5 6 6 5 4 3;\r\n\t2 2 4 4 4 4 2 2;\r\n\t2 2 3 3 3 3 2 2;\r\n\t];\r\nboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\nboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bbyyyggg';'byyggggg'];\r\nboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';'  yybo  ';'  oybg  '];\r\nboard(:,:,4) = ['        ';'  yybp  ';' rgbopp ';' ggbboo ';' boybog ';' rbggpp ';'  ybbo  ';'        '];\r\nboard(:,:,5) = ['        ';'        ';'  gboo  ';'  ggbb  ';'  oyyy  ';'  ggpp  ';'        ';'        '];\r\nboard(:,:,6) = ['        ';'        ';'   oo   ';'  ggbb  ';'  ooyy  ';'   gp   ';'        ';'        '];\r\nboard(:,:,7) = ['        ';'        ';'        ';'   go   ';'   oy   ';'        ';'        ';'        '];\r\n%green wins 14 to 11 (o) to 10 (y,b,p) to 9 (r)\r\nassert(isequal(rumis_scorer3(board,stencil),'g'))\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t0 0 0 0 3 3 3 3;\r\n\t\t\t0 0 0 0 2 2 2 2;\r\n\t\t\t0 0 0 0 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\n\t\tboard(:,:,2) = [' rbrbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brbr';'        '];\r\n\t\tboard(:,:,3) = ['  brbbrb';'  rbbbbr';'  rbbrbr';'  bbrrrr';'    bbbr';'        ';'        '];\r\n\t\tboard(:,:,4) = ['   rbbrb';'   rbbbr';'   brrbr';'   rbrbr';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'b'))\r\n\tcase 2\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['yyyyyyyr';'yyyyyyyr';'yyyyyrrr';'yyyyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yrrrgggb'];\r\n\t\tboard(:,:,2) = ['        ';' ryyyyb ';' ryyybb ';' rrygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\n\t\tboard(:,:,3) = ['        ';'        ';'  ggyy  ';'  gbyr  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\n\t\tboard(:,:,4) = ['        ';'        ';'        ';'   by   ';'   bb   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'y'))\r\n\tcase 3\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t1 2 3 4 5 4 3 2 1;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' oobbppp ';'ooooopppo';' oobbbpp ';'  ooooo  ';'   ooo   ';'    o    '];\r\n\t\tboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'  oobbp  ';' oobbppp ';'  oobbp  ';'   bob   ';'    o    ';'         '];\r\n\t\tboard(:,:,3) = ['         ';'         ';'    b    ';'   obb   ';'  oobbp  ';'   oob   ';'    o    ';'         ';'         '];\r\n\t\tboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'   ooo   ';'    o    ';'         ';'         ';'         '];\r\n\t\tboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'o'))\r\n\tcase 4\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\n\t\tboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bbyyyggg';'byyggggg'];\r\n\t\tboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';'  yybo  ';'  oybg  '];\r\n\t\tboard(:,:,4) = ['        ';'  yybp  ';' rgbopp ';' ggbboo ';' boybog ';' rbggpp ';'  ybbo  ';'        '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'  gboo  ';'  ggbb  ';'  oyyy  ';'  ggpp  ';'        ';'        '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'   oo   ';'  ggbb  ';'  ooyy  ';'   gp   ';'        ';'        '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'   go   ';'   oy   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'g'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t0 0 0 0 3 3 3 3;\r\n\t\t\t0 0 0 0 2 2 2 2;\r\n\t\t\t0 0 0 0 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\n\t\tboard(:,:,2) = [' rbrbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brbr';'        '];\r\n\t\tboard(:,:,3) = ['  brbbrb';'  rbbbbr';'  rbbrbr';'  bbrrrr';'    bbbr';'        ';'        '];\r\n\t\tboard(:,:,4) = ['   rbbrb';'   rbbbr';'   brrbr';'   rbrbr';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'b'))\r\n\tcase 2\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['yyyyyyyr';'yyyyyyyr';'yyyyyrrr';'yyyyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yrrrgggb'];\r\n\t\tboard(:,:,2) = ['        ';' ryyyyb ';' ryyybb ';' rrygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\n\t\tboard(:,:,3) = ['        ';'        ';'  ggyy  ';'  gbyr  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\n\t\tboard(:,:,4) = ['        ';'        ';'        ';'   by   ';'   bb   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'y'))\r\n\tcase 3\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t1 2 3 4 5 4 3 2 1;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' oobbppp ';'ooooopppo';' oobbbpp ';'  ooooo  ';'   ooo   ';'    o    '];\r\n\t\tboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'  oobbp  ';' oobbppp ';'  oobbp  ';'   bob   ';'    o    ';'         '];\r\n\t\tboard(:,:,3) = ['         ';'         ';'    b    ';'   obb   ';'  oobbp  ';'   oob   ';'    o    ';'         ';'         '];\r\n\t\tboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'   ooo   ';'    o    ';'         ';'         ';'         '];\r\n\t\tboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'o'))\r\n\tcase 4\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\n\t\tboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bbyyyggg';'byyggggg'];\r\n\t\tboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';'  yybo  ';'  oybg  '];\r\n\t\tboard(:,:,4) = ['        ';'  yybp  ';' rgbopp ';' ggbboo ';' boybog ';' rbggpp ';'  ybbo  ';'        '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'  gboo  ';'  ggbb  ';'  oyyy  ';'  ggpp  ';'        ';'        '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'   oo   ';'  ggbb  ';'  ooyy  ';'   gp   ';'        ';'        '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'   go   ';'   oy   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'g'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t0 0 0 0 3 3 3 3;\r\n\t\t\t0 0 0 0 2 2 2 2;\r\n\t\t\t0 0 0 0 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\n\t\tboard(:,:,2) = [' rbrbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brbr';'        '];\r\n\t\tboard(:,:,3) = ['  brbbrb';'  rbbbbr';'  rbbrbr';'  bbrrrr';'    bbbr';'        ';'        '];\r\n\t\tboard(:,:,4) = ['   rbbrb';'   rbbbr';'   brrbr';'   rbrbr';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'b'))\r\n\tcase 2\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['yyyyyyyr';'yyyyyyyr';'yyyyyrrr';'yyyyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yrrrgggb'];\r\n\t\tboard(:,:,2) = ['        ';' ryyyyb ';' ryyybb ';' rrygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\n\t\tboard(:,:,3) = ['        ';'        ';'  ggyy  ';'  gbyr  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\n\t\tboard(:,:,4) = ['        ';'        ';'        ';'   by   ';'   bb   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'y'))\r\n\tcase 3\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t1 2 3 4 5 4 3 2 1;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' oobbppp ';'ooooopppo';' oobbbpp ';'  ooooo  ';'   ooo   ';'    o    '];\r\n\t\tboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'  oobbp  ';' oobbppp ';'  oobbp  ';'   bob   ';'    o    ';'         '];\r\n\t\tboard(:,:,3) = ['         ';'         ';'    b    ';'   obb   ';'  oobbp  ';'   oob   ';'    o    ';'         ';'         '];\r\n\t\tboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'   ooo   ';'    o    ';'         ';'         ';'         '];\r\n\t\tboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'o'))\r\n\tcase 4\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\n\t\tboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bbyyyggg';'byyggggg'];\r\n\t\tboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';'  yybo  ';'  oybg  '];\r\n\t\tboard(:,:,4) = ['        ';'  yybp  ';' rgbopp ';' ggbboo ';' boybog ';' rbggpp ';'  ybbo  ';'        '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'  gboo  ';'  ggbb  ';'  oyyy  ';'  ggpp  ';'        ';'        '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'   oo   ';'  ggbb  ';'  ooyy  ';'   gp   ';'        ';'        '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'   go   ';'   oy   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'g'))\r\nend\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":26769,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":30,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-03-21T02:22:09.000Z","updated_at":"2025-12-08T02:51:40.000Z","published_at":"2015-03-21T02:22:09.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/media/image1.JPEG\"}],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"http://en.wikipedia.org/wiki/Rumis\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eRumis\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, you will be provided a completed board of varying shapes with anywhere from two to six players, inclusive. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The character-array board will contain various stencils and maximum heights for each square. As an example, the following board represents an L with maximum heights varying from one to four depending upon location (zeros represent non-playable area):\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[1 2 3 4 4 4 4 4\\n1 2 3 4 4 4 4 4\\n1 2 3 4 4 4 4 4\\n1 2 3 4 4 4 4 4\\n0 0 0 0 3 3 3 3\\n0 0 0 0 2 2 2 2\\n0 0 0 0 1 1 1 1]]\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, the board will be completely filled in, and, in line with the game's rules, all players' colors will be represented on the first level. Write a function to count the squares visible when viewed from above to determine who won each round. See the test suite for additional examples (including test case 2, which represents the completed board shown below).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"},{\"partUri\":\"/media/image1.JPEG\",\"contentType\":\"image/JPEG\",\"content\":\"data:image/JPEG;base64,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\"}]}"},{"id":3102,"title":"Rumis Scorer 4","description":"This problem is very similar to \u003chttps://www.mathworks.com/matlabcentral/cody/problems/3101-rumis-scorer-3 Rumis Scorer 3\u003e. The main difference with this problem is that the board will not be completely filled in. In other words, the maximum heights designated by the stencil will not necessarily be occupied. Write a function to count the squares visible when viewed from above to determine who won each round (the stencil may or may not be helpful). See the test suite for additional examples (including test cases 1 and 2, which represent the completed boards shown below).\r\n\r\n\u003c\u003chttp://www.exodusbooks.com/Samples/Games/RumisPisacBig.jpg\u003e\u003e\r\n\r\n\u003c\u003chttp://cf.geekdo-images.com/images/pic1111321_md.jpg\u003e\u003e","description_html":"\u003cp\u003eThis problem is very similar to \u003ca href = \"https://www.mathworks.com/matlabcentral/cody/problems/3101-rumis-scorer-3\"\u003eRumis Scorer 3\u003c/a\u003e. The main difference with this problem is that the board will not be completely filled in. In other words, the maximum heights designated by the stencil will not necessarily be occupied. Write a function to count the squares visible when viewed from above to determine who won each round (the stencil may or may not be helpful). See the test suite for additional examples (including test cases 1 and 2, which represent the completed boards shown below).\u003c/p\u003e\u003cimg src = \"http://www.exodusbooks.com/Samples/Games/RumisPisacBig.jpg\"\u003e\u003cimg src = \"http://cf.geekdo-images.com/images/pic1111321_md.jpg\"\u003e","function_template":"function [winner] = rumis_scorer4(board,stencil)\r\n\r\nwinner = '';\r\n\r\nend\r\n","test_suite":"%% first board shown above\r\nclear board stencil\r\nstencil = [\r\n\t1 1 1 1 1 1 1 1;\r\n\t2 2 2 2 2 2 2 2;\r\n\t0 3 3 3 3 3 3 0;\r\n\t0 4 4 4 4 4 4 0;\r\n\t0 0 5 5 5 5 0 0;\r\n\t0 0 6 6 6 6 0 0;\r\n\t0 0 0 7 7 0 0 0;\r\n\t0 0 0 8 8 0 0 0;\r\n\t];\r\nboard(:,:,1) = ['bbbbyyyy';'bbrryyyg';' bbrryy ';' bbryyg ';'  bbgg  ';'  bbbg  ';'   yy   ';'   yb   '];\r\nboard(:,:,2) = ['        ';'bbrryyyg';' brryyg ';' brrygg ';'  bbrg  ';'   bbg  ';'   by   ';'   yy   '];\r\nboard(:,:,3) = ['        ';'        ';' brry g ';' bbrygg ';'  brrg  ';'   brg  ';'   br   ';'   bb   '];\r\nboard(:,:,4) = ['        ';'        ';' b      ';' bb ygg ';'  bryg  ';'   rrg  ';'   rr   ';'   br   '];\r\nboard(:,:,5) = ['        ';'        ';'        ';'        ';'   ggg  ';'   ggy  ';'   gg   ';'   rr   '];\r\nboard(:,:,6) = ['        ';'        ';'        ';'        ';'        ';'   gyy  ';'   gr   ';'   gr   '];\r\nboard(:,:,7) = ['        ';'        ';'        ';'        ';'        ';'        ';'   gg   ';'   gr   '];\r\nboard(:,:,8) = ['        ';'        ';'        ';'        ';'        ';'        ';'        ';'    r   '];\r\n%yellow wins 12 to 11 (g,b) to 6 (r)\r\nassert(isequal(rumis_scorer4(board,stencil),'y'))\r\n\r\n%% second board shown above\r\nclear board stencil\r\nstencil = [\r\n\t2 2 2 2 2 2;\r\n\t3 3 3 3 3 3;\r\n\t4 4 4 4 4 4;\r\n\t5 5 5 5 5 5;\r\n\t5 5 5 5 5 5;\r\n\t5 5 5 5 5 5;\r\n\t5 5 5 5 5 5;\r\n\t4 4 4 4 4 4;\r\n\t3 3 3 3 3 3;\r\n\t2 2 2 2 2 2;\r\n\t];\r\nboard(:,:,1) = ['rrrrbb';'ggrbbb';'ggrrpb';'ggrpbb';'grrppb';'oorrpb';'ooppbb';'ooybbp';'ooyypp';'yyyypp'];\r\nboard(:,:,2) = ['grrr b';'ggrbpb';'ggrrpb';'rrrbpb';'grbbpp';'ooobpb';'ooyyyb';'oooyyb';'oooypp';'yyyypp'];\r\nboard(:,:,3) = ['      ';'ggrbbb';'ggrrpb';'rrrbbb';'grpbbp';'grppbb';'gyyypb';'ogoypb';'ooo pp';'      '];\r\nboard(:,:,4) = ['      ';'      ';'ggrrpb';'rrrbpb';'grpbpp';' rbbbb';' yyybb';'ogoypp';'      ';'      '];\r\nboard(:,:,5) = ['      ';'      ';'      ';'rrrbbb';' rpppp';' r  bb';' y y b';'      ';'      ';'      '];\r\n%blue wins 15 to 11 (r,p) to 9 (y,g) to 5 (o)\r\nassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t0 0 0 0 3 3 3 3;\r\n\t0 0 0 0 2 2 2 2;\r\n\t0 0 0 0 1 1 1 1;\r\n\t];\r\nboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\nboard(:,:,2) = ['  brbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brb ';'        '];\r\nboard(:,:,3) = ['  brbbrr';'   bbbbr';'  rbbrbr';'   brrrr';'    bb r';'        ';'        '];\r\nboard(:,:,4) = ['   rbbr ';'   rbbbr';'   brrbr';'   rbrr ';'        ';'        ';'        '];\r\n%red wins 25 to 19\r\nassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t1 1 1 1 1 1 1 1;\r\n\t1 2 2 2 2 2 2 1;\r\n\t1 2 3 3 3 3 2 1;\r\n\t1 2 3 4 4 3 2 1;\r\n\t1 2 3 4 4 3 2 1;\r\n\t1 2 3 3 3 3 2 1;\r\n\t1 2 2 2 2 2 2 1;\r\n\t1 1 1 1 1 1 1 1;\r\n\t];\r\nboard(:,:,1) = ['yyyyybrr';'yyrrbbyr';'yryyyrrr';'yryyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yyrrgggb'];\r\nboard(:,:,2) = ['        ';' r yb b ';'  yyybb ';'  rygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\nboard(:,:,3) = ['        ';'        ';'  ggy   ';'  gb r  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\nboard(:,:,4) = ['        ';'        ';'        ';'   b    ';'   b    ';'        ';'        ';'        '];\r\n%red wins 19 to 16 (y) to 15 (g) to 14 (b)\r\nassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t0 0 0 0 1 0 0 0 0;\r\n\t0 0 0 1 2 1 0 0 0;\r\n\t0 0 1 2 3 2 1 0 0;\r\n\t0 1 2 3 4 3 2 1 0;\r\n\t1 2 3 4 5 4 3 2 1;\r\n\t0 1 2 3 4 3 2 1 0;\r\n\t0 0 1 2 3 2 1 0 0;\r\n\t0 0 0 1 2 1 0 0 0;\r\n\t0 0 0 0 1 0 0 0 0;\r\n\t];\r\nboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' obbbppp ';'obboopppo';' oobbbpp ';'  ooooo  ';'   opo   ';'    o    '];\r\nboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'    bbp  ';'  obbppp ';'  obbbp  ';'   bbb   ';'         ';'         '];\r\nboard(:,:,3) = ['         ';'         ';'    b    ';'    bb   ';'  o bbp  ';'     b   ';'         ';'         ';'         '];\r\nboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'    o    ';'         ';'         ';'         ';'         '];\r\nboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n%blue wins 17 to 16 (o) to 8 (p)\r\nassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t2 2 3 3 3 3 2 2;\r\n\t2 2 4 4 4 4 2 2;\r\n\t3 4 5 6 6 5 4 3;\r\n\t3 4 6 7 7 6 4 3;\r\n\t3 4 6 7 7 6 4 3;\r\n\t3 4 5 6 6 5 4 3;\r\n\t2 2 4 4 4 4 2 2;\r\n\t2 2 3 3 3 3 2 2;\r\n\t];\r\nboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\nboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bgyyyggg';'byygyygg'];\r\nboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';' gyybo  ';'  oyb   '];\r\nboard(:,:,4) = ['        ';'  yybp  ';' robop  ';'  gbboo ';' boybo  ';' rbggpp ';'  ybbo  ';'        '];\r\nboard(:,:,5) = ['        ';'        ';'   boo  ';'  ggbb  ';'  oyyy  ';'   ppp  ';'        ';'        '];\r\nboard(:,:,6) = ['        ';'        ';'   oo   ';'  g bb  ';'  ooyy  ';'    p   ';'        ';'        '];\r\nboard(:,:,7) = ['        ';'        ';'        ';'    o   ';'   oy   ';'        ';'        ';'        '];\r\n%orange wins 12 to 11 (y,p) to 10 (r,g,b)\r\nassert(isequal(rumis_scorer4(board,stencil),'o'))\r\n\r\n%% anti-cheating case\r\nind = randi(6);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t2 2 2 2 2 2 2 2;\r\n\t\t\t0 3 3 3 3 3 3 0;\r\n\t\t\t0 4 4 4 4 4 4 0;\r\n\t\t\t0 0 5 5 5 5 0 0;\r\n\t\t\t0 0 6 6 6 6 0 0;\r\n\t\t\t0 0 0 7 7 0 0 0;\r\n\t\t\t0 0 0 8 8 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['bbbbyyyy';'bbrryyyg';' bbrryy ';' bbryyg ';'  bbgg  ';'  bbbg  ';'   yy   ';'   yb   '];\r\n\t\tboard(:,:,2) = ['        ';'bbrryyyg';' brryyg ';' brrygg ';'  bbrg  ';'   bbg  ';'   by   ';'   yy   '];\r\n\t\tboard(:,:,3) = ['        ';'        ';' brry g ';' bbrygg ';'  brrg  ';'   brg  ';'   br   ';'   bb   '];\r\n\t\tboard(:,:,4) = ['        ';'        ';' b      ';' bb ygg ';'  bryg  ';'   rrg  ';'   rr   ';'   br   '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'        ';'        ';'   ggg  ';'   ggy  ';'   gg   ';'   rr   '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'        ';'        ';'        ';'   gyy  ';'   gr   ';'   gr   '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'        ';'        ';'        ';'   gg   ';'   gr   '];\r\n\t\tboard(:,:,8) = ['        ';'        ';'        ';'        ';'        ';'        ';'        ';'    r   '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'y'))\r\n\tcase 2\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 2 2 2 2;\r\n\t\t\t3 3 3 3 3 3;\r\n\t\t\t4 4 4 4 4 4;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t4 4 4 4 4 4;\r\n\t\t\t3 3 3 3 3 3;\r\n\t\t\t2 2 2 2 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrrrbb';'ggrbbb';'ggrrpb';'ggrpbb';'grrppb';'oorrpb';'ooppbb';'ooybbp';'ooyypp';'yyyypp'];\r\n\t\tboard(:,:,2) = ['grrr b';'ggrbpb';'ggrrpb';'rrrbpb';'grbbpp';'ooobpb';'ooyyyb';'oooyyb';'oooypp';'yyyypp'];\r\n\t\tboard(:,:,3) = ['      ';'ggrbbb';'ggrrpb';'rrrbbb';'grpbbp';'grppbb';'gyyypb';'ogoypb';'ooo pp';'      '];\r\n\t\tboard(:,:,4) = ['      ';'      ';'ggrrpb';'rrrbpb';'grpbpp';' rbbbb';' yyybb';'ogoypp';'      ';'      '];\r\n\t\tboard(:,:,5) = ['      ';'      ';'      ';'rrrbbb';' rpppp';' r  bb';' y y b';'      ';'      ';'      '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\tcase 3\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t0 0 0 0 3 3 3 3;\r\n\t\t\t0 0 0 0 2 2 2 2;\r\n\t\t\t0 0 0 0 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\n\t\tboard(:,:,2) = ['  brbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brb ';'        '];\r\n\t\tboard(:,:,3) = ['  brbbrr';'   bbbbr';'  rbbrbr';'   brrrr';'    bb r';'        ';'        '];\r\n\t\tboard(:,:,4) = ['   rbbr ';'   rbbbr';'   brrbr';'   rbrr ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\tcase 4\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['yyyyybrr';'yyrrbbyr';'yryyyrrr';'yryyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yyrrgggb'];\r\n\t\tboard(:,:,2) = ['        ';' r yb b ';'  yyybb ';'  rygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\n\t\tboard(:,:,3) = ['        ';'        ';'  ggy   ';'  gb r  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\n\t\tboard(:,:,4) = ['        ';'        ';'        ';'   b    ';'   b    ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\tcase 5\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t1 2 3 4 5 4 3 2 1;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' obbbppp ';'obboopppo';' oobbbpp ';'  ooooo  ';'   opo   ';'    o    '];\r\n\t\tboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'    bbp  ';'  obbppp ';'  obbbp  ';'   bbb   ';'         ';'         '];\r\n\t\tboard(:,:,3) = ['         ';'         ';'    b    ';'    bb   ';'  o bbp  ';'     b   ';'         ';'         ';'         '];\r\n\t\tboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\tcase 6\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\n\t\tboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bgyyyggg';'byygyygg'];\r\n\t\tboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';' gyybo  ';'  oyb   '];\r\n\t\tboard(:,:,4) = ['        ';'  yybp  ';' robop  ';'  gbboo ';' boybo  ';' rbggpp ';'  ybbo  ';'        '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'   boo  ';'  ggbb  ';'  oyyy  ';'   ppp  ';'        ';'        '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'   oo   ';'  g bb  ';'  ooyy  ';'    p   ';'        ';'        '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'    o   ';'   oy   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'o'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(6);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t2 2 2 2 2 2 2 2;\r\n\t\t\t0 3 3 3 3 3 3 0;\r\n\t\t\t0 4 4 4 4 4 4 0;\r\n\t\t\t0 0 5 5 5 5 0 0;\r\n\t\t\t0 0 6 6 6 6 0 0;\r\n\t\t\t0 0 0 7 7 0 0 0;\r\n\t\t\t0 0 0 8 8 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['bbbbyyyy';'bbrryyyg';' bbrryy ';' bbryyg ';'  bbgg  ';'  bbbg  ';'   yy   ';'   yb   '];\r\n\t\tboard(:,:,2) = ['        ';'bbrryyyg';' brryyg ';' brrygg ';'  bbrg  ';'   bbg  ';'   by   ';'   yy   '];\r\n\t\tboard(:,:,3) = ['        ';'        ';' brry g ';' bbrygg ';'  brrg  ';'   brg  ';'   br   ';'   bb   '];\r\n\t\tboard(:,:,4) = ['        ';'        ';' b      ';' bb ygg ';'  bryg  ';'   rrg  ';'   rr   ';'   br   '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'        ';'        ';'   ggg  ';'   ggy  ';'   gg   ';'   rr   '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'        ';'        ';'        ';'   gyy  ';'   gr   ';'   gr   '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'        ';'        ';'        ';'   gg   ';'   gr   '];\r\n\t\tboard(:,:,8) = ['        ';'        ';'        ';'        ';'        ';'        ';'        ';'    r   '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'y'))\r\n\tcase 2\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 2 2 2 2;\r\n\t\t\t3 3 3 3 3 3;\r\n\t\t\t4 4 4 4 4 4;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t4 4 4 4 4 4;\r\n\t\t\t3 3 3 3 3 3;\r\n\t\t\t2 2 2 2 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrrrbb';'ggrbbb';'ggrrpb';'ggrpbb';'grrppb';'oorrpb';'ooppbb';'ooybbp';'ooyypp';'yyyypp'];\r\n\t\tboard(:,:,2) = ['grrr b';'ggrbpb';'ggrrpb';'rrrbpb';'grbbpp';'ooobpb';'ooyyyb';'oooyyb';'oooypp';'yyyypp'];\r\n\t\tboard(:,:,3) = ['      ';'ggrbbb';'ggrrpb';'rrrbbb';'grpbbp';'grppbb';'gyyypb';'ogoypb';'ooo pp';'      '];\r\n\t\tboard(:,:,4) = ['      ';'      ';'ggrrpb';'rrrbpb';'grpbpp';' rbbbb';' yyybb';'ogoypp';'      ';'      '];\r\n\t\tboard(:,:,5) = ['      ';'      ';'      ';'rrrbbb';' rpppp';' r  bb';' y y b';'      ';'      ';'      '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\tcase 3\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t0 0 0 0 3 3 3 3;\r\n\t\t\t0 0 0 0 2 2 2 2;\r\n\t\t\t0 0 0 0 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\n\t\tboard(:,:,2) = ['  brbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brb ';'        '];\r\n\t\tboard(:,:,3) = ['  brbbrr';'   bbbbr';'  rbbrbr';'   brrrr';'    bb r';'        ';'        '];\r\n\t\tboard(:,:,4) = ['   rbbr ';'   rbbbr';'   brrbr';'   rbrr ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\tcase 4\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['yyyyybrr';'yyrrbbyr';'yryyyrrr';'yryyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yyrrgggb'];\r\n\t\tboard(:,:,2) = ['        ';' r yb b ';'  yyybb ';'  rygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\n\t\tboard(:,:,3) = ['        ';'        ';'  ggy   ';'  gb r  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\n\t\tboard(:,:,4) = ['        ';'        ';'        ';'   b    ';'   b    ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\tcase 5\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t1 2 3 4 5 4 3 2 1;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' obbbppp ';'obboopppo';' oobbbpp ';'  ooooo  ';'   opo   ';'    o    '];\r\n\t\tboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'    bbp  ';'  obbppp ';'  obbbp  ';'   bbb   ';'         ';'         '];\r\n\t\tboard(:,:,3) = ['         ';'         ';'    b    ';'    bb   ';'  o bbp  ';'     b   ';'         ';'         ';'         '];\r\n\t\tboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\tcase 6\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\n\t\tboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bgyyyggg';'byygyygg'];\r\n\t\tboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';' gyybo  ';'  oyb   '];\r\n\t\tboard(:,:,4) = ['        ';'  yybp  ';' robop  ';'  gbboo ';' boybo  ';' rbggpp ';'  ybbo  ';'        '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'   boo  ';'  ggbb  ';'  oyyy  ';'   ppp  ';'        ';'        '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'   oo   ';'  g bb  ';'  ooyy  ';'    p   ';'        ';'        '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'    o   ';'   oy   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'o'))\r\nend\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":26769,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":25,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-03-21T03:35:46.000Z","updated_at":"2025-11-03T11:20:28.000Z","published_at":"2015-03-21T03:35:45.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/media/image1.JPEG\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/media/image1.png\"}],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis problem is very similar to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://www.mathworks.com/matlabcentral/cody/problems/3101-rumis-scorer-3\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eRumis Scorer 3\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e. The main difference with this problem is that the board will not be completely filled in. In other words, the maximum heights designated by the stencil will not necessarily be occupied. Write a function to count the squares visible when viewed from above to determine who won each round (the stencil may or may not be helpful). See the test suite for additional examples (including test cases 1 and 2, which represent the completed boards shown below).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"},{\"partUri\":\"/media/image1.JPEG\",\"contentType\":\"image/JPEG\",\"content\":\"data:image/JPEG;base64,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\"},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\"}]}"}],"problem_search":{"errors":[],"problems":[{"id":3100,"title":"Rumis Scorer 2","description":"\u003chttp://en.wikipedia.org/wiki/Rumis Rumis\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\r\n\r\nFor this problem, you will be provided a completed rectangular board where there are anywhere from two to six players. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The board will be from two to six levels high and completely filled. It will also be a character array wherein the players' squares are represented by a single character per square. In line with the game's rules, all players' colors will be represented on the first level. See the test suite for examples.\r\n\r\nWrite a function to count the squares visible when viewed from above to determine who won each round.\r\n\r\n\u003c\u003chttp://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\u003e\u003e","description_html":"\u003cp\u003e\u003ca href = \"http://en.wikipedia.org/wiki/Rumis\"\u003eRumis\u003c/a\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/p\u003e\u003cp\u003eFor this problem, you will be provided a completed rectangular board where there are anywhere from two to six players. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The board will be from two to six levels high and completely filled. It will also be a character array wherein the players' squares are represented by a single character per square. In line with the game's rules, all players' colors will be represented on the first level. See the test suite for examples.\u003c/p\u003e\u003cp\u003eWrite a function to count the squares visible when viewed from above to determine who won each round.\u003c/p\u003e\u003cimg src = \"http://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\"\u003e","function_template":"function [winner] = rumis_scorer2(board)\r\n\r\nwinner = 'r';\r\n\r\nend\r\n","test_suite":"%%\r\nclear board\r\nboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\nboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n%blue wins 22 to 20\r\nassert(isequal(rumis_scorer2(board),'b'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['ppbrpbr';'rbrpbrb';'bbrbbrb';'rbrrppr';'bbrpbbr';'bbprrbr'];\r\nboard(:,:,2) = ['brbpbrb';'rrpbbpr';'pprbrbr';'brprbrr';'rbrrpbr';'brppbbr'];\r\n%red wins 18 to 15 (b) to 9 (p)\r\nassert(isequal(rumis_scorer2(board),'r'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['brbrb';'rrrbb';'bggob';'ggoro';'bbrbr'];\r\nboard(:,:,2) = ['bobrb';'roggr';'bogor';'bgoor';'rgrrr'];\r\nboard(:,:,3) = ['bobrg';'rrbgr';'rooor';'brbrg';'rgrrr'];\r\nboard(:,:,4) = ['borbg';'rrbbr';'bbrbr';'bboog';'rgrog'];\r\nboard(:,:,5) = ['robbr';'bbror';'borbr';'rrobb';'boobg'];\r\n%blue wins 10 to 8 (r) to 6 (o) to 1 (g)\r\nassert(isequal(rumis_scorer2(board),'b'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['rrbrryr';'rbrrryb';'brrrbyb';'rbrbyyr';'rbrbryr';'brrrybr'];\r\nboard(:,:,2) = ['brbybrb';'rbybbbr';'bbrbrbr';'brbryrr';'rbrrbbr';'brbbybr'];\r\nboard(:,:,3) = ['byyybry';'ybbbyyr';'bbrbyyr';'brbyyrr';'rbyyybr';'brybybr'];\r\n%yellow wins 16 to 15 (b) to 11 (r)\r\nassert(isequal(rumis_scorer2(board),'y'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['prbrby';'pprbby';'bggoyb';'gpyoro';'bppbyr'];\r\nboard(:,:,2) = ['pobrby';'rogygr';'bogoyr';'bgyoor';'rgyyyr'];\r\nboard(:,:,3) = ['ppbrgy';'rpybgr';'roooyr';'brybrg';'rgryrr'];\r\nboard(:,:,4) = ['borbgy';'rpbybr';'bbrbry';'bbyoog';'rgrpog'];\r\nboard(:,:,5) = ['robbry';'bprory';'borbry';'rroybb';'booybg'];\r\nboard(:,:,6) = ['oobyry';'bpryor';'bopbyr';'rooppb';'boobyg'];\r\n%orange wins 8 to 7 (b) to 5 (r,y) to 4 (p) to 1 (g)\r\nassert(isequal(rumis_scorer2(board),'o'))\r\n\r\n%% anti-cheating case\r\nind = randi(5);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['ppbrpbr';'rbrpbrb';'bbrbbrb';'rbrrppr';'bbrpbbr';'bbprrbr'];\r\n\t\tboard(:,:,2) = ['brbpbrb';'rrpbbpr';'pprbrbr';'brprbrr';'rbrrpbr';'brppbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bggob';'ggoro';'bbrbr'];\r\n\t\tboard(:,:,2) = ['bobrb';'roggr';'bogor';'bgoor';'rgrrr'];\r\n\t\tboard(:,:,3) = ['bobrg';'rrbgr';'rooor';'brbrg';'rgrrr'];\r\n\t\tboard(:,:,4) = ['borbg';'rrbbr';'bbrbr';'bboog';'rgrog'];\r\n\t\tboard(:,:,5) = ['robbr';'bbror';'borbr';'rrobb';'boobg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrryr';'rbrrryb';'brrrbyb';'rbrbyyr';'rbrbryr';'brrrybr'];\r\n\t\tboard(:,:,2) = ['brbybrb';'rbybbbr';'bbrbrbr';'brbryrr';'rbrrbbr';'brbbybr'];\r\n\t\tboard(:,:,3) = ['byyybry';'ybbbyyr';'bbrbyyr';'brbyyrr';'rbyyybr';'brybybr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'y'))\r\n\tcase 5\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['prbrby';'pprbby';'bggoyb';'gpyoro';'bppbyr'];\r\n\t\tboard(:,:,2) = ['pobrby';'rogygr';'bogoyr';'bgyoor';'rgyyyr'];\r\n\t\tboard(:,:,3) = ['ppbrgy';'rpybgr';'roooyr';'brybrg';'rgryrr'];\r\n\t\tboard(:,:,4) = ['borbgy';'rpbybr';'bbrbry';'bbyoog';'rgrpog'];\r\n\t\tboard(:,:,5) = ['robbry';'bprory';'borbry';'rroybb';'booybg'];\r\n\t\tboard(:,:,6) = ['oobyry';'bpryor';'bopbyr';'rooppb';'boobyg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'o'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(5);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['ppbrpbr';'rbrpbrb';'bbrbbrb';'rbrrppr';'bbrpbbr';'bbprrbr'];\r\n\t\tboard(:,:,2) = ['brbpbrb';'rrpbbpr';'pprbrbr';'brprbrr';'rbrrpbr';'brppbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bggob';'ggoro';'bbrbr'];\r\n\t\tboard(:,:,2) = ['bobrb';'roggr';'bogor';'bgoor';'rgrrr'];\r\n\t\tboard(:,:,3) = ['bobrg';'rrbgr';'rooor';'brbrg';'rgrrr'];\r\n\t\tboard(:,:,4) = ['borbg';'rrbbr';'bbrbr';'bboog';'rgrog'];\r\n\t\tboard(:,:,5) = ['robbr';'bbror';'borbr';'rrobb';'boobg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrryr';'rbrrryb';'brrrbyb';'rbrbyyr';'rbrbryr';'brrrybr'];\r\n\t\tboard(:,:,2) = ['brbybrb';'rbybbbr';'bbrbrbr';'brbryrr';'rbrrbbr';'brbbybr'];\r\n\t\tboard(:,:,3) = ['byyybry';'ybbbyyr';'bbrbyyr';'brbyyrr';'rbyyybr';'brybybr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'y'))\r\n\tcase 5\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['prbrby';'pprbby';'bggoyb';'gpyoro';'bppbyr'];\r\n\t\tboard(:,:,2) = ['pobrby';'rogygr';'bogoyr';'bgyoor';'rgyyyr'];\r\n\t\tboard(:,:,3) = ['ppbrgy';'rpybgr';'roooyr';'brybrg';'rgryrr'];\r\n\t\tboard(:,:,4) = ['borbgy';'rpbybr';'bbrbry';'bbyoog';'rgrpog'];\r\n\t\tboard(:,:,5) = ['robbry';'bprory';'borbry';'rroybb';'booybg'];\r\n\t\tboard(:,:,6) = ['oobyry';'bpryor';'bopbyr';'rooppb';'boobyg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'o'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(5);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['ppbrpbr';'rbrpbrb';'bbrbbrb';'rbrrppr';'bbrpbbr';'bbprrbr'];\r\n\t\tboard(:,:,2) = ['brbpbrb';'rrpbbpr';'pprbrbr';'brprbrr';'rbrrpbr';'brppbbr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bggob';'ggoro';'bbrbr'];\r\n\t\tboard(:,:,2) = ['bobrb';'roggr';'bogor';'bgoor';'rgrrr'];\r\n\t\tboard(:,:,3) = ['bobrg';'rrbgr';'rooor';'brbrg';'rgrrr'];\r\n\t\tboard(:,:,4) = ['borbg';'rrbbr';'bbrbr';'bboog';'rgrog'];\r\n\t\tboard(:,:,5) = ['robbr';'bbror';'borbr';'rrobb';'boobg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'b'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrryr';'rbrrryb';'brrrbyb';'rbrbyyr';'rbrbryr';'brrrybr'];\r\n\t\tboard(:,:,2) = ['brbybrb';'rbybbbr';'bbrbrbr';'brbryrr';'rbrrbbr';'brbbybr'];\r\n\t\tboard(:,:,3) = ['byyybry';'ybbbyyr';'bbrbyyr';'brbyyrr';'rbyyybr';'brybybr'];\r\n\t\tassert(isequal(rumis_scorer2(board),'y'))\r\n\tcase 5\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['prbrby';'pprbby';'bggoyb';'gpyoro';'bppbyr'];\r\n\t\tboard(:,:,2) = ['pobrby';'rogygr';'bogoyr';'bgyoor';'rgyyyr'];\r\n\t\tboard(:,:,3) = ['ppbrgy';'rpybgr';'roooyr';'brybrg';'rgryrr'];\r\n\t\tboard(:,:,4) = ['borbgy';'rpbybr';'bbrbry';'bbyoog';'rgrpog'];\r\n\t\tboard(:,:,5) = ['robbry';'bprory';'borbry';'rroybb';'booybg'];\r\n\t\tboard(:,:,6) = ['oobyry';'bpryor';'bopbyr';'rooppb';'boobyg'];\r\n\t\tassert(isequal(rumis_scorer2(board),'o'))\r\nend","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":26769,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":36,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-03-21T01:22:06.000Z","updated_at":"2026-03-24T06:57:20.000Z","published_at":"2015-03-21T01:22:06.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/media/image1.JPEG\"}],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"http://en.wikipedia.org/wiki/Rumis\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eRumis\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, you will be provided a completed rectangular board where there are anywhere from two to six players. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The board will be from two to six levels high and completely filled. It will also be a character array wherein the players' squares are represented by a single character per square. In line with the game's rules, all players' colors will be represented on the first level. See the test suite for examples.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function to count the squares visible when viewed from above to determine who won each round.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"},{\"partUri\":\"/media/image1.JPEG\",\"contentType\":\"image/JPEG\",\"content\":\"data:image/JPEG;base64,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\"}]}"},{"id":3099,"title":"Rumis Scorer 1","description":"\u003chttp://en.wikipedia.org/wiki/Rumis Rumis\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\r\n\r\nFor this problem, you will be provided a completed 2-player rectangular board where the two players' colors are red and blue. The board will be two levels high and completely filled. It will also be a character array wherein the two players' squares are represented by 'r' or 'b'. See the test suite for examples.\r\n\r\nWrite a function to count the squares visible when viewed from above to determine who won each round.\r\n\r\n\u003c\u003chttp://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\u003e\u003e","description_html":"\u003cp\u003e\u003ca href = \"http://en.wikipedia.org/wiki/Rumis\"\u003eRumis\u003c/a\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/p\u003e\u003cp\u003eFor this problem, you will be provided a completed 2-player rectangular board where the two players' colors are red and blue. The board will be two levels high and completely filled. It will also be a character array wherein the two players' squares are represented by 'r' or 'b'. See the test suite for examples.\u003c/p\u003e\u003cp\u003eWrite a function to count the squares visible when viewed from above to determine who won each round.\u003c/p\u003e\u003cimg src = \"http://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\"\u003e","function_template":"function [winner] = rumis_scorer1(board)\r\n\r\nwinner = 'r';\r\n\r\nend\r\n","test_suite":"%%\r\nclear board\r\nboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\nboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n%blue wins 22 to 20\r\nassert(isequal(rumis_scorer1(board),'b'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['brbrb';'rrrbb';'bbrbb';'bbrrb';'bbrbr'];\r\nboard(:,:,2) = ['brbrb';'rrbbr';'bbrbr';'brbrr';'rbrrr'];\r\n%red wins 14 to 11\r\nassert(isequal(rumis_scorer1(board),'r'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['brb';'rrr';'bbb';'brb';'bbr'];\r\nboard(:,:,2) = ['brb';'rbr';'rbr';'brr';'rrr'];\r\n%red wins 10 to 5\r\nassert(isequal(rumis_scorer1(board),'r'))\r\n\r\n%%\r\nclear board\r\nboard(:,:,1) = ['rrbrrbr';'rbrrrrb';'brrrbrb';'rbrbrrr';'rbrbrbr';'brrrrbr'];\r\nboard(:,:,2) = ['brbbbrb';'rbbbbbr';'bbrbrbr';'brbrbrr';'rbrrbbr';'brbbbbr'];\r\n%blue wins 25 to 17\r\nassert(isequal(rumis_scorer1(board),'b'))\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bbrbb';'bbrrb';'bbrbr'];\r\n\t\tboard(:,:,2) = ['brbrb';'rrbbr';'bbrbr';'brbrr';'rbrrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brb';'rrr';'bbb';'brb';'bbr'];\r\n\t\tboard(:,:,2) = ['brb';'rbr';'rbr';'brr';'rrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrrbr';'rbrrrrb';'brrrbrb';'rbrbrrr';'rbrbrbr';'brrrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rbbbbbr';'bbrbrbr';'brbrbrr';'rbrrbbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bbrbb';'bbrrb';'bbrbr'];\r\n\t\tboard(:,:,2) = ['brbrb';'rrbbr';'bbrbr';'brbrr';'rbrrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brb';'rrr';'bbb';'brb';'bbr'];\r\n\t\tboard(:,:,2) = ['brb';'rbr';'rbr';'brr';'rrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrrbr';'rbrrrrb';'brrrbrb';'rbrbrrr';'rbrbrbr';'brrrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rbbbbbr';'bbrbrbr';'brbrbrr';'rbrrbbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrbbr';'rbrbbrb';'bbrbbrb';'rbrrrbr';'bbrbbbr';'bbbrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rrrbbbr';'bbrbrbr';'brbrbrr';'rbrrrbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\n\tcase 2\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brbrb';'rrrbb';'bbrbb';'bbrrb';'bbrbr'];\r\n\t\tboard(:,:,2) = ['brbrb';'rrbbr';'bbrbr';'brbrr';'rbrrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 3\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['brb';'rrr';'bbb';'brb';'bbr'];\r\n\t\tboard(:,:,2) = ['brb';'rbr';'rbr';'brr';'rrr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'r'))\r\n\tcase 4\r\n\t\tclear board\r\n\t\tboard(:,:,1) = ['rrbrrbr';'rbrrrrb';'brrrbrb';'rbrbrrr';'rbrbrbr';'brrrrbr'];\r\n\t\tboard(:,:,2) = ['brbbbrb';'rbbbbbr';'bbrbrbr';'brbrbrr';'rbrrbbr';'brbbbbr'];\r\n\t\tassert(isequal(rumis_scorer1(board),'b'))\r\nend\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":26769,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":44,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-03-20T02:49:07.000Z","updated_at":"2026-03-04T14:57:42.000Z","published_at":"2015-03-20T02:49:07.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/media/image1.JPEG\"}],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"http://en.wikipedia.org/wiki/Rumis\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eRumis\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, you will be provided a completed 2-player rectangular board where the two players' colors are red and blue. The board will be two levels high and completely filled. It will also be a character array wherein the two players' squares are represented by 'r' or 'b'. See the test suite for examples.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function to count the squares visible when viewed from above to determine who won each round.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"},{\"partUri\":\"/media/image1.JPEG\",\"contentType\":\"image/JPEG\",\"content\":\"data:image/JPEG;base64,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\"}]}"},{"id":3101,"title":"Rumis Scorer 3","description":"\u003chttp://en.wikipedia.org/wiki/Rumis Rumis\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\r\n\r\nFor this problem, you will be provided a completed board of varying shapes with anywhere from two to six players, inclusive. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The character-array board will contain various stencils and maximum heights for each square. As an example, the following board represents an L with maximum heights varying from one to four depending upon location (zeros represent non-playable area):\r\n\r\n  1 2 3 4 4 4 4 4\r\n  1 2 3 4 4 4 4 4\r\n  1 2 3 4 4 4 4 4\r\n  1 2 3 4 4 4 4 4\r\n  0 0 0 0 3 3 3 3\r\n  0 0 0 0 2 2 2 2\r\n  0 0 0 0 1 1 1 1\r\n\r\nFor this problem, the board will be completely filled in, and, in line with the game's rules, all players' colors will be represented on the first level. Write a function to count the squares visible when viewed from above to determine who won each round. See the test suite for additional examples (including test case 2, which represents the completed board shown below).\r\n\r\n\u003c\u003chttp://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\u003e\u003e","description_html":"\u003cp\u003e\u003ca href = \"http://en.wikipedia.org/wiki/Rumis\"\u003eRumis\u003c/a\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/p\u003e\u003cp\u003eFor this problem, you will be provided a completed board of varying shapes with anywhere from two to six players, inclusive. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The character-array board will contain various stencils and maximum heights for each square. As an example, the following board represents an L with maximum heights varying from one to four depending upon location (zeros represent non-playable area):\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e1 2 3 4 4 4 4 4\r\n1 2 3 4 4 4 4 4\r\n1 2 3 4 4 4 4 4\r\n1 2 3 4 4 4 4 4\r\n0 0 0 0 3 3 3 3\r\n0 0 0 0 2 2 2 2\r\n0 0 0 0 1 1 1 1\r\n\u003c/pre\u003e\u003cp\u003eFor this problem, the board will be completely filled in, and, in line with the game's rules, all players' colors will be represented on the first level. Write a function to count the squares visible when viewed from above to determine who won each round. See the test suite for additional examples (including test case 2, which represents the completed board shown below).\u003c/p\u003e\u003cimg src = \"http://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg\"\u003e","function_template":"function [winner] = rumis_scorer3(board,stencil)\r\n\r\nwinner = '';\r\n\r\nend\r\n","test_suite":"%%\r\nclear board stencil\r\nstencil = [\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t0 0 0 0 3 3 3 3;\r\n\t0 0 0 0 2 2 2 2;\r\n\t0 0 0 0 1 1 1 1;\r\n\t];\r\nboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\nboard(:,:,2) = [' rbrbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brbr';'        '];\r\nboard(:,:,3) = ['  brbbrb';'  rbbbbr';'  rbbrbr';'  bbrrrr';'    bbbr';'        ';'        '];\r\nboard(:,:,4) = ['   rbbrb';'   rbbbr';'   brrbr';'   rbrbr';'        ';'        ';'        '];\r\n%blue wins 23 to 21\r\nassert(isequal(rumis_scorer3(board,stencil),'b'))\r\n\r\n%% board shown above with two squares filled in (corners of 2nd and 4th levels)\r\nclear board stencil\r\nstencil = [\r\n\t1 1 1 1 1 1 1 1;\r\n\t1 2 2 2 2 2 2 1;\r\n\t1 2 3 3 3 3 2 1;\r\n\t1 2 3 4 4 3 2 1;\r\n\t1 2 3 4 4 3 2 1;\r\n\t1 2 3 3 3 3 2 1;\r\n\t1 2 2 2 2 2 2 1;\r\n\t1 1 1 1 1 1 1 1;\r\n\t];\r\nboard(:,:,1) = ['yyyyyyyr';'yyyyyyyr';'yyyyyrrr';'yyyyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yrrrgggb'];\r\nboard(:,:,2) = ['        ';' ryyyyb ';' ryyybb ';' rrygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\nboard(:,:,3) = ['        ';'        ';'  ggyy  ';'  gbyr  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\nboard(:,:,4) = ['        ';'        ';'        ';'   by   ';'   bb   ';'        ';'        ';'        '];\r\n%yellow wins 22 to 18 (r) to 14 (g) to 10 (b)\r\nassert(isequal(rumis_scorer3(board,stencil),'y'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t0 0 0 0 1 0 0 0 0;\r\n\t0 0 0 1 2 1 0 0 0;\r\n\t0 0 1 2 3 2 1 0 0;\r\n\t0 1 2 3 4 3 2 1 0;\r\n\t1 2 3 4 5 4 3 2 1;\r\n\t0 1 2 3 4 3 2 1 0;\r\n\t0 0 1 2 3 2 1 0 0;\r\n\t0 0 0 1 2 1 0 0 0;\r\n\t0 0 0 0 1 0 0 0 0;\r\n\t];\r\nboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' oobbppp ';'ooooopppo';' oobbbpp ';'  ooooo  ';'   ooo   ';'    o    '];\r\nboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'  oobbp  ';' oobbppp ';'  oobbp  ';'   bob   ';'    o    ';'         '];\r\nboard(:,:,3) = ['         ';'         ';'    b    ';'   obb   ';'  oobbp  ';'   oob   ';'    o    ';'         ';'         '];\r\nboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'   ooo   ';'    o    ';'         ';'         ';'         '];\r\nboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n%orange wins 25 to 9 (b) to 7 (p)\r\nassert(isequal(rumis_scorer3(board,stencil),'o'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t2 2 3 3 3 3 2 2;\r\n\t2 2 4 4 4 4 2 2;\r\n\t3 4 5 6 6 5 4 3;\r\n\t3 4 6 7 7 6 4 3;\r\n\t3 4 6 7 7 6 4 3;\r\n\t3 4 5 6 6 5 4 3;\r\n\t2 2 4 4 4 4 2 2;\r\n\t2 2 3 3 3 3 2 2;\r\n\t];\r\nboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\nboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bbyyyggg';'byyggggg'];\r\nboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';'  yybo  ';'  oybg  '];\r\nboard(:,:,4) = ['        ';'  yybp  ';' rgbopp ';' ggbboo ';' boybog ';' rbggpp ';'  ybbo  ';'        '];\r\nboard(:,:,5) = ['        ';'        ';'  gboo  ';'  ggbb  ';'  oyyy  ';'  ggpp  ';'        ';'        '];\r\nboard(:,:,6) = ['        ';'        ';'   oo   ';'  ggbb  ';'  ooyy  ';'   gp   ';'        ';'        '];\r\nboard(:,:,7) = ['        ';'        ';'        ';'   go   ';'   oy   ';'        ';'        ';'        '];\r\n%green wins 14 to 11 (o) to 10 (y,b,p) to 9 (r)\r\nassert(isequal(rumis_scorer3(board,stencil),'g'))\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t0 0 0 0 3 3 3 3;\r\n\t\t\t0 0 0 0 2 2 2 2;\r\n\t\t\t0 0 0 0 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\n\t\tboard(:,:,2) = [' rbrbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brbr';'        '];\r\n\t\tboard(:,:,3) = ['  brbbrb';'  rbbbbr';'  rbbrbr';'  bbrrrr';'    bbbr';'        ';'        '];\r\n\t\tboard(:,:,4) = ['   rbbrb';'   rbbbr';'   brrbr';'   rbrbr';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'b'))\r\n\tcase 2\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['yyyyyyyr';'yyyyyyyr';'yyyyyrrr';'yyyyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yrrrgggb'];\r\n\t\tboard(:,:,2) = ['        ';' ryyyyb ';' ryyybb ';' rrygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\n\t\tboard(:,:,3) = ['        ';'        ';'  ggyy  ';'  gbyr  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\n\t\tboard(:,:,4) = ['        ';'        ';'        ';'   by   ';'   bb   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'y'))\r\n\tcase 3\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t1 2 3 4 5 4 3 2 1;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' oobbppp ';'ooooopppo';' oobbbpp ';'  ooooo  ';'   ooo   ';'    o    '];\r\n\t\tboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'  oobbp  ';' oobbppp ';'  oobbp  ';'   bob   ';'    o    ';'         '];\r\n\t\tboard(:,:,3) = ['         ';'         ';'    b    ';'   obb   ';'  oobbp  ';'   oob   ';'    o    ';'         ';'         '];\r\n\t\tboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'   ooo   ';'    o    ';'         ';'         ';'         '];\r\n\t\tboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'o'))\r\n\tcase 4\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\n\t\tboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bbyyyggg';'byyggggg'];\r\n\t\tboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';'  yybo  ';'  oybg  '];\r\n\t\tboard(:,:,4) = ['        ';'  yybp  ';' rgbopp ';' ggbboo ';' boybog ';' rbggpp ';'  ybbo  ';'        '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'  gboo  ';'  ggbb  ';'  oyyy  ';'  ggpp  ';'        ';'        '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'   oo   ';'  ggbb  ';'  ooyy  ';'   gp   ';'        ';'        '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'   go   ';'   oy   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'g'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t0 0 0 0 3 3 3 3;\r\n\t\t\t0 0 0 0 2 2 2 2;\r\n\t\t\t0 0 0 0 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\n\t\tboard(:,:,2) = [' rbrbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brbr';'        '];\r\n\t\tboard(:,:,3) = ['  brbbrb';'  rbbbbr';'  rbbrbr';'  bbrrrr';'    bbbr';'        ';'        '];\r\n\t\tboard(:,:,4) = ['   rbbrb';'   rbbbr';'   brrbr';'   rbrbr';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'b'))\r\n\tcase 2\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['yyyyyyyr';'yyyyyyyr';'yyyyyrrr';'yyyyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yrrrgggb'];\r\n\t\tboard(:,:,2) = ['        ';' ryyyyb ';' ryyybb ';' rrygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\n\t\tboard(:,:,3) = ['        ';'        ';'  ggyy  ';'  gbyr  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\n\t\tboard(:,:,4) = ['        ';'        ';'        ';'   by   ';'   bb   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'y'))\r\n\tcase 3\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t1 2 3 4 5 4 3 2 1;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' oobbppp ';'ooooopppo';' oobbbpp ';'  ooooo  ';'   ooo   ';'    o    '];\r\n\t\tboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'  oobbp  ';' oobbppp ';'  oobbp  ';'   bob   ';'    o    ';'         '];\r\n\t\tboard(:,:,3) = ['         ';'         ';'    b    ';'   obb   ';'  oobbp  ';'   oob   ';'    o    ';'         ';'         '];\r\n\t\tboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'   ooo   ';'    o    ';'         ';'         ';'         '];\r\n\t\tboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'o'))\r\n\tcase 4\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\n\t\tboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bbyyyggg';'byyggggg'];\r\n\t\tboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';'  yybo  ';'  oybg  '];\r\n\t\tboard(:,:,4) = ['        ';'  yybp  ';' rgbopp ';' ggbboo ';' boybog ';' rbggpp ';'  ybbo  ';'        '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'  gboo  ';'  ggbb  ';'  oyyy  ';'  ggpp  ';'        ';'        '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'   oo   ';'  ggbb  ';'  ooyy  ';'   gp   ';'        ';'        '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'   go   ';'   oy   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'g'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(4);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t0 0 0 0 3 3 3 3;\r\n\t\t\t0 0 0 0 2 2 2 2;\r\n\t\t\t0 0 0 0 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\n\t\tboard(:,:,2) = [' rbrbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brbr';'        '];\r\n\t\tboard(:,:,3) = ['  brbbrb';'  rbbbbr';'  rbbrbr';'  bbrrrr';'    bbbr';'        ';'        '];\r\n\t\tboard(:,:,4) = ['   rbbrb';'   rbbbr';'   brrbr';'   rbrbr';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'b'))\r\n\tcase 2\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['yyyyyyyr';'yyyyyyyr';'yyyyyrrr';'yyyyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yrrrgggb'];\r\n\t\tboard(:,:,2) = ['        ';' ryyyyb ';' ryyybb ';' rrygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\n\t\tboard(:,:,3) = ['        ';'        ';'  ggyy  ';'  gbyr  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\n\t\tboard(:,:,4) = ['        ';'        ';'        ';'   by   ';'   bb   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'y'))\r\n\tcase 3\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t1 2 3 4 5 4 3 2 1;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' oobbppp ';'ooooopppo';' oobbbpp ';'  ooooo  ';'   ooo   ';'    o    '];\r\n\t\tboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'  oobbp  ';' oobbppp ';'  oobbp  ';'   bob   ';'    o    ';'         '];\r\n\t\tboard(:,:,3) = ['         ';'         ';'    b    ';'   obb   ';'  oobbp  ';'   oob   ';'    o    ';'         ';'         '];\r\n\t\tboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'   ooo   ';'    o    ';'         ';'         ';'         '];\r\n\t\tboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'o'))\r\n\tcase 4\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\n\t\tboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bbyyyggg';'byyggggg'];\r\n\t\tboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';'  yybo  ';'  oybg  '];\r\n\t\tboard(:,:,4) = ['        ';'  yybp  ';' rgbopp ';' ggbboo ';' boybog ';' rbggpp ';'  ybbo  ';'        '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'  gboo  ';'  ggbb  ';'  oyyy  ';'  ggpp  ';'        ';'        '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'   oo   ';'  ggbb  ';'  ooyy  ';'   gp   ';'        ';'        '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'   go   ';'   oy   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer3(board,stencil),'g'))\r\nend\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":26769,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":30,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-03-21T02:22:09.000Z","updated_at":"2025-12-08T02:51:40.000Z","published_at":"2015-03-21T02:22:09.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/media/image1.JPEG\"}],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"http://en.wikipedia.org/wiki/Rumis\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eRumis\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e is a multiplayer 3D block board game where the goal is to have the most squares visible, when viewed from above, after pieces have been played till there are no moves remaining. The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, you will be provided a completed board of varying shapes with anywhere from two to six players, inclusive. The players' colors will be selected from the following options, though not necessarily in this order: red (r), orange (o), yellow (y), green (g), blue (b), and purple (p). The character-array board will contain various stencils and maximum heights for each square. As an example, the following board represents an L with maximum heights varying from one to four depending upon location (zeros represent non-playable area):\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[1 2 3 4 4 4 4 4\\n1 2 3 4 4 4 4 4\\n1 2 3 4 4 4 4 4\\n1 2 3 4 4 4 4 4\\n0 0 0 0 3 3 3 3\\n0 0 0 0 2 2 2 2\\n0 0 0 0 1 1 1 1]]\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, the board will be completely filled in, and, in line with the game's rules, all players' colors will be represented on the first level. Write a function to count the squares visible when viewed from above to determine who won each round. See the test suite for additional examples (including test case 2, which represents the completed board shown below).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"},{\"partUri\":\"/media/image1.JPEG\",\"contentType\":\"image/JPEG\",\"content\":\"data:image/JPEG;base64,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\"}]}"},{"id":3102,"title":"Rumis Scorer 4","description":"This problem is very similar to \u003chttps://www.mathworks.com/matlabcentral/cody/problems/3101-rumis-scorer-3 Rumis Scorer 3\u003e. The main difference with this problem is that the board will not be completely filled in. In other words, the maximum heights designated by the stencil will not necessarily be occupied. Write a function to count the squares visible when viewed from above to determine who won each round (the stencil may or may not be helpful). See the test suite for additional examples (including test cases 1 and 2, which represent the completed boards shown below).\r\n\r\n\u003c\u003chttp://www.exodusbooks.com/Samples/Games/RumisPisacBig.jpg\u003e\u003e\r\n\r\n\u003c\u003chttp://cf.geekdo-images.com/images/pic1111321_md.jpg\u003e\u003e","description_html":"\u003cp\u003eThis problem is very similar to \u003ca href = \"https://www.mathworks.com/matlabcentral/cody/problems/3101-rumis-scorer-3\"\u003eRumis Scorer 3\u003c/a\u003e. The main difference with this problem is that the board will not be completely filled in. In other words, the maximum heights designated by the stencil will not necessarily be occupied. Write a function to count the squares visible when viewed from above to determine who won each round (the stencil may or may not be helpful). See the test suite for additional examples (including test cases 1 and 2, which represent the completed boards shown below).\u003c/p\u003e\u003cimg src = \"http://www.exodusbooks.com/Samples/Games/RumisPisacBig.jpg\"\u003e\u003cimg src = \"http://cf.geekdo-images.com/images/pic1111321_md.jpg\"\u003e","function_template":"function [winner] = rumis_scorer4(board,stencil)\r\n\r\nwinner = '';\r\n\r\nend\r\n","test_suite":"%% first board shown above\r\nclear board stencil\r\nstencil = [\r\n\t1 1 1 1 1 1 1 1;\r\n\t2 2 2 2 2 2 2 2;\r\n\t0 3 3 3 3 3 3 0;\r\n\t0 4 4 4 4 4 4 0;\r\n\t0 0 5 5 5 5 0 0;\r\n\t0 0 6 6 6 6 0 0;\r\n\t0 0 0 7 7 0 0 0;\r\n\t0 0 0 8 8 0 0 0;\r\n\t];\r\nboard(:,:,1) = ['bbbbyyyy';'bbrryyyg';' bbrryy ';' bbryyg ';'  bbgg  ';'  bbbg  ';'   yy   ';'   yb   '];\r\nboard(:,:,2) = ['        ';'bbrryyyg';' brryyg ';' brrygg ';'  bbrg  ';'   bbg  ';'   by   ';'   yy   '];\r\nboard(:,:,3) = ['        ';'        ';' brry g ';' bbrygg ';'  brrg  ';'   brg  ';'   br   ';'   bb   '];\r\nboard(:,:,4) = ['        ';'        ';' b      ';' bb ygg ';'  bryg  ';'   rrg  ';'   rr   ';'   br   '];\r\nboard(:,:,5) = ['        ';'        ';'        ';'        ';'   ggg  ';'   ggy  ';'   gg   ';'   rr   '];\r\nboard(:,:,6) = ['        ';'        ';'        ';'        ';'        ';'   gyy  ';'   gr   ';'   gr   '];\r\nboard(:,:,7) = ['        ';'        ';'        ';'        ';'        ';'        ';'   gg   ';'   gr   '];\r\nboard(:,:,8) = ['        ';'        ';'        ';'        ';'        ';'        ';'        ';'    r   '];\r\n%yellow wins 12 to 11 (g,b) to 6 (r)\r\nassert(isequal(rumis_scorer4(board,stencil),'y'))\r\n\r\n%% second board shown above\r\nclear board stencil\r\nstencil = [\r\n\t2 2 2 2 2 2;\r\n\t3 3 3 3 3 3;\r\n\t4 4 4 4 4 4;\r\n\t5 5 5 5 5 5;\r\n\t5 5 5 5 5 5;\r\n\t5 5 5 5 5 5;\r\n\t5 5 5 5 5 5;\r\n\t4 4 4 4 4 4;\r\n\t3 3 3 3 3 3;\r\n\t2 2 2 2 2 2;\r\n\t];\r\nboard(:,:,1) = ['rrrrbb';'ggrbbb';'ggrrpb';'ggrpbb';'grrppb';'oorrpb';'ooppbb';'ooybbp';'ooyypp';'yyyypp'];\r\nboard(:,:,2) = ['grrr b';'ggrbpb';'ggrrpb';'rrrbpb';'grbbpp';'ooobpb';'ooyyyb';'oooyyb';'oooypp';'yyyypp'];\r\nboard(:,:,3) = ['      ';'ggrbbb';'ggrrpb';'rrrbbb';'grpbbp';'grppbb';'gyyypb';'ogoypb';'ooo pp';'      '];\r\nboard(:,:,4) = ['      ';'      ';'ggrrpb';'rrrbpb';'grpbpp';' rbbbb';' yyybb';'ogoypp';'      ';'      '];\r\nboard(:,:,5) = ['      ';'      ';'      ';'rrrbbb';' rpppp';' r  bb';' y y b';'      ';'      ';'      '];\r\n%blue wins 15 to 11 (r,p) to 9 (y,g) to 5 (o)\r\nassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t1 2 3 4 4 4 4 4;\r\n\t0 0 0 0 3 3 3 3;\r\n\t0 0 0 0 2 2 2 2;\r\n\t0 0 0 0 1 1 1 1;\r\n\t];\r\nboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\nboard(:,:,2) = ['  brbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brb ';'        '];\r\nboard(:,:,3) = ['  brbbrr';'   bbbbr';'  rbbrbr';'   brrrr';'    bb r';'        ';'        '];\r\nboard(:,:,4) = ['   rbbr ';'   rbbbr';'   brrbr';'   rbrr ';'        ';'        ';'        '];\r\n%red wins 25 to 19\r\nassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t1 1 1 1 1 1 1 1;\r\n\t1 2 2 2 2 2 2 1;\r\n\t1 2 3 3 3 3 2 1;\r\n\t1 2 3 4 4 3 2 1;\r\n\t1 2 3 4 4 3 2 1;\r\n\t1 2 3 3 3 3 2 1;\r\n\t1 2 2 2 2 2 2 1;\r\n\t1 1 1 1 1 1 1 1;\r\n\t];\r\nboard(:,:,1) = ['yyyyybrr';'yyrrbbyr';'yryyyrrr';'yryyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yyrrgggb'];\r\nboard(:,:,2) = ['        ';' r yb b ';'  yyybb ';'  rygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\nboard(:,:,3) = ['        ';'        ';'  ggy   ';'  gb r  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\nboard(:,:,4) = ['        ';'        ';'        ';'   b    ';'   b    ';'        ';'        ';'        '];\r\n%red wins 19 to 16 (y) to 15 (g) to 14 (b)\r\nassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t0 0 0 0 1 0 0 0 0;\r\n\t0 0 0 1 2 1 0 0 0;\r\n\t0 0 1 2 3 2 1 0 0;\r\n\t0 1 2 3 4 3 2 1 0;\r\n\t1 2 3 4 5 4 3 2 1;\r\n\t0 1 2 3 4 3 2 1 0;\r\n\t0 0 1 2 3 2 1 0 0;\r\n\t0 0 0 1 2 1 0 0 0;\r\n\t0 0 0 0 1 0 0 0 0;\r\n\t];\r\nboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' obbbppp ';'obboopppo';' oobbbpp ';'  ooooo  ';'   opo   ';'    o    '];\r\nboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'    bbp  ';'  obbppp ';'  obbbp  ';'   bbb   ';'         ';'         '];\r\nboard(:,:,3) = ['         ';'         ';'    b    ';'    bb   ';'  o bbp  ';'     b   ';'         ';'         ';'         '];\r\nboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'    o    ';'         ';'         ';'         ';'         '];\r\nboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n%blue wins 17 to 16 (o) to 8 (p)\r\nassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\r\n%%\r\nclear board stencil\r\nstencil = [\r\n\t2 2 3 3 3 3 2 2;\r\n\t2 2 4 4 4 4 2 2;\r\n\t3 4 5 6 6 5 4 3;\r\n\t3 4 6 7 7 6 4 3;\r\n\t3 4 6 7 7 6 4 3;\r\n\t3 4 5 6 6 5 4 3;\r\n\t2 2 4 4 4 4 2 2;\r\n\t2 2 3 3 3 3 2 2;\r\n\t];\r\nboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\nboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bgyyyggg';'byygyygg'];\r\nboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';' gyybo  ';'  oyb   '];\r\nboard(:,:,4) = ['        ';'  yybp  ';' robop  ';'  gbboo ';' boybo  ';' rbggpp ';'  ybbo  ';'        '];\r\nboard(:,:,5) = ['        ';'        ';'   boo  ';'  ggbb  ';'  oyyy  ';'   ppp  ';'        ';'        '];\r\nboard(:,:,6) = ['        ';'        ';'   oo   ';'  g bb  ';'  ooyy  ';'    p   ';'        ';'        '];\r\nboard(:,:,7) = ['        ';'        ';'        ';'    o   ';'   oy   ';'        ';'        ';'        '];\r\n%orange wins 12 to 11 (y,p) to 10 (r,g,b)\r\nassert(isequal(rumis_scorer4(board,stencil),'o'))\r\n\r\n%% anti-cheating case\r\nind = randi(6);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t2 2 2 2 2 2 2 2;\r\n\t\t\t0 3 3 3 3 3 3 0;\r\n\t\t\t0 4 4 4 4 4 4 0;\r\n\t\t\t0 0 5 5 5 5 0 0;\r\n\t\t\t0 0 6 6 6 6 0 0;\r\n\t\t\t0 0 0 7 7 0 0 0;\r\n\t\t\t0 0 0 8 8 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['bbbbyyyy';'bbrryyyg';' bbrryy ';' bbryyg ';'  bbgg  ';'  bbbg  ';'   yy   ';'   yb   '];\r\n\t\tboard(:,:,2) = ['        ';'bbrryyyg';' brryyg ';' brrygg ';'  bbrg  ';'   bbg  ';'   by   ';'   yy   '];\r\n\t\tboard(:,:,3) = ['        ';'        ';' brry g ';' bbrygg ';'  brrg  ';'   brg  ';'   br   ';'   bb   '];\r\n\t\tboard(:,:,4) = ['        ';'        ';' b      ';' bb ygg ';'  bryg  ';'   rrg  ';'   rr   ';'   br   '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'        ';'        ';'   ggg  ';'   ggy  ';'   gg   ';'   rr   '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'        ';'        ';'        ';'   gyy  ';'   gr   ';'   gr   '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'        ';'        ';'        ';'   gg   ';'   gr   '];\r\n\t\tboard(:,:,8) = ['        ';'        ';'        ';'        ';'        ';'        ';'        ';'    r   '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'y'))\r\n\tcase 2\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 2 2 2 2;\r\n\t\t\t3 3 3 3 3 3;\r\n\t\t\t4 4 4 4 4 4;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t4 4 4 4 4 4;\r\n\t\t\t3 3 3 3 3 3;\r\n\t\t\t2 2 2 2 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrrrbb';'ggrbbb';'ggrrpb';'ggrpbb';'grrppb';'oorrpb';'ooppbb';'ooybbp';'ooyypp';'yyyypp'];\r\n\t\tboard(:,:,2) = ['grrr b';'ggrbpb';'ggrrpb';'rrrbpb';'grbbpp';'ooobpb';'ooyyyb';'oooyyb';'oooypp';'yyyypp'];\r\n\t\tboard(:,:,3) = ['      ';'ggrbbb';'ggrrpb';'rrrbbb';'grpbbp';'grppbb';'gyyypb';'ogoypb';'ooo pp';'      '];\r\n\t\tboard(:,:,4) = ['      ';'      ';'ggrrpb';'rrrbpb';'grpbpp';' rbbbb';' yyybb';'ogoypp';'      ';'      '];\r\n\t\tboard(:,:,5) = ['      ';'      ';'      ';'rrrbbb';' rpppp';' r  bb';' y y b';'      ';'      ';'      '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\tcase 3\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t0 0 0 0 3 3 3 3;\r\n\t\t\t0 0 0 0 2 2 2 2;\r\n\t\t\t0 0 0 0 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\n\t\tboard(:,:,2) = ['  brbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brb ';'        '];\r\n\t\tboard(:,:,3) = ['  brbbrr';'   bbbbr';'  rbbrbr';'   brrrr';'    bb r';'        ';'        '];\r\n\t\tboard(:,:,4) = ['   rbbr ';'   rbbbr';'   brrbr';'   rbrr ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\tcase 4\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['yyyyybrr';'yyrrbbyr';'yryyyrrr';'yryyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yyrrgggb'];\r\n\t\tboard(:,:,2) = ['        ';' r yb b ';'  yyybb ';'  rygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\n\t\tboard(:,:,3) = ['        ';'        ';'  ggy   ';'  gb r  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\n\t\tboard(:,:,4) = ['        ';'        ';'        ';'   b    ';'   b    ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\tcase 5\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t1 2 3 4 5 4 3 2 1;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' obbbppp ';'obboopppo';' oobbbpp ';'  ooooo  ';'   opo   ';'    o    '];\r\n\t\tboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'    bbp  ';'  obbppp ';'  obbbp  ';'   bbb   ';'         ';'         '];\r\n\t\tboard(:,:,3) = ['         ';'         ';'    b    ';'    bb   ';'  o bbp  ';'     b   ';'         ';'         ';'         '];\r\n\t\tboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\tcase 6\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\n\t\tboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bgyyyggg';'byygyygg'];\r\n\t\tboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';' gyybo  ';'  oyb   '];\r\n\t\tboard(:,:,4) = ['        ';'  yybp  ';' robop  ';'  gbboo ';' boybo  ';' rbggpp ';'  ybbo  ';'        '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'   boo  ';'  ggbb  ';'  oyyy  ';'   ppp  ';'        ';'        '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'   oo   ';'  g bb  ';'  ooyy  ';'    p   ';'        ';'        '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'    o   ';'   oy   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'o'))\r\nend\r\n\r\n%% anti-cheating case\r\nind = randi(6);\r\nswitch ind\r\n\tcase 1\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t2 2 2 2 2 2 2 2;\r\n\t\t\t0 3 3 3 3 3 3 0;\r\n\t\t\t0 4 4 4 4 4 4 0;\r\n\t\t\t0 0 5 5 5 5 0 0;\r\n\t\t\t0 0 6 6 6 6 0 0;\r\n\t\t\t0 0 0 7 7 0 0 0;\r\n\t\t\t0 0 0 8 8 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['bbbbyyyy';'bbrryyyg';' bbrryy ';' bbryyg ';'  bbgg  ';'  bbbg  ';'   yy   ';'   yb   '];\r\n\t\tboard(:,:,2) = ['        ';'bbrryyyg';' brryyg ';' brrygg ';'  bbrg  ';'   bbg  ';'   by   ';'   yy   '];\r\n\t\tboard(:,:,3) = ['        ';'        ';' brry g ';' bbrygg ';'  brrg  ';'   brg  ';'   br   ';'   bb   '];\r\n\t\tboard(:,:,4) = ['        ';'        ';' b      ';' bb ygg ';'  bryg  ';'   rrg  ';'   rr   ';'   br   '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'        ';'        ';'   ggg  ';'   ggy  ';'   gg   ';'   rr   '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'        ';'        ';'        ';'   gyy  ';'   gr   ';'   gr   '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'        ';'        ';'        ';'   gg   ';'   gr   '];\r\n\t\tboard(:,:,8) = ['        ';'        ';'        ';'        ';'        ';'        ';'        ';'    r   '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'y'))\r\n\tcase 2\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 2 2 2 2;\r\n\t\t\t3 3 3 3 3 3;\r\n\t\t\t4 4 4 4 4 4;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t5 5 5 5 5 5;\r\n\t\t\t4 4 4 4 4 4;\r\n\t\t\t3 3 3 3 3 3;\r\n\t\t\t2 2 2 2 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrrrbb';'ggrbbb';'ggrrpb';'ggrpbb';'grrppb';'oorrpb';'ooppbb';'ooybbp';'ooyypp';'yyyypp'];\r\n\t\tboard(:,:,2) = ['grrr b';'ggrbpb';'ggrrpb';'rrrbpb';'grbbpp';'ooobpb';'ooyyyb';'oooyyb';'oooypp';'yyyypp'];\r\n\t\tboard(:,:,3) = ['      ';'ggrbbb';'ggrrpb';'rrrbbb';'grpbbp';'grppbb';'gyyypb';'ogoypb';'ooo pp';'      '];\r\n\t\tboard(:,:,4) = ['      ';'      ';'ggrrpb';'rrrbpb';'grpbpp';' rbbbb';' yyybb';'ogoypp';'      ';'      '];\r\n\t\tboard(:,:,5) = ['      ';'      ';'      ';'rrrbbb';' rpppp';' r  bb';' y y b';'      ';'      ';'      '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\tcase 3\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t1 2 3 4 4 4 4 4;\r\n\t\t\t0 0 0 0 3 3 3 3;\r\n\t\t\t0 0 0 0 2 2 2 2;\r\n\t\t\t0 0 0 0 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rrbrrbbr';'rbrrbbrb';'bbrrbbrb';'rbrrbrbr';'    brbr';'    rrbr';'    bbbr'];\r\n\t\tboard(:,:,2) = ['  brbbrb';' rrbbbbr';' brbbrbr';' brbbrbr';'    rbrb';'    brb ';'        '];\r\n\t\tboard(:,:,3) = ['  brbbrr';'   bbbbr';'  rbbrbr';'   brrrr';'    bb r';'        ';'        '];\r\n\t\tboard(:,:,4) = ['   rbbr ';'   rbbbr';'   brrbr';'   rbrr ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\tcase 4\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 4 4 3 2 1;\r\n\t\t\t1 2 3 3 3 3 2 1;\r\n\t\t\t1 2 2 2 2 2 2 1;\r\n\t\t\t1 1 1 1 1 1 1 1;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['yyyyybrr';'yyrrbbyr';'yryyyrrr';'yryyrrrr';'yyyrrrbb';'yrrrrbbb';'yyrrrgbb';'yyrrgggb'];\r\n\t\tboard(:,:,2) = ['        ';' r yb b ';'  yyybb ';'  rygrr ';' ryyggr ';' ggygrr ';' ggyggb ';'        '];\r\n\t\tboard(:,:,3) = ['        ';'        ';'  ggy   ';'  gb r  ';'  ggbr  ';'  ggrr  ';'        ';'        '];\r\n\t\tboard(:,:,4) = ['        ';'        ';'        ';'   b    ';'   b    ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'r'))\r\n\tcase 5\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t1 2 3 4 5 4 3 2 1;\r\n\t\t\t0 1 2 3 4 3 2 1 0;\r\n\t\t\t0 0 1 2 3 2 1 0 0;\r\n\t\t\t0 0 0 1 2 1 0 0 0;\r\n\t\t\t0 0 0 0 1 0 0 0 0;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['    o    ';'   oob   ';'  oobbp  ';' obbbppp ';'obboopppo';' oobbbpp ';'  ooooo  ';'   opo   ';'    o    '];\r\n\t\tboard(:,:,2) = ['         ';'    o    ';'   bbb   ';'    bbp  ';'  obbppp ';'  obbbp  ';'   bbb   ';'         ';'         '];\r\n\t\tboard(:,:,3) = ['         ';'         ';'    b    ';'    bb   ';'  o bbp  ';'     b   ';'         ';'         ';'         '];\r\n\t\tboard(:,:,4) = ['         ';'         ';'         ';'    b    ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tboard(:,:,5) = ['         ';'         ';'         ';'         ';'    o    ';'         ';'         ';'         ';'         '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'b'))\r\n\tcase 6\r\n\t\tclear board stencil\r\n\t\tstencil = [\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 6 7 7 6 4 3;\r\n\t\t\t3 4 5 6 6 5 4 3;\r\n\t\t\t2 2 4 4 4 4 2 2;\r\n\t\t\t2 2 3 3 3 3 2 2;\r\n\t\t\t];\r\n\t\tboard(:,:,1) = ['rryyobpg';'ryyyobpg';'ryyoobbg';'rryoobbg';'ryyybbgg';'yyybbggg';'ybbbbggg';'yyyyyggg'];\r\n\t\tboard(:,:,2) = ['ryyooopp';'rrryyppp';'rryooogg';'rrrroobb';'ryyybggg';'rybbbbbg';'bgyyyggg';'byygyygg'];\r\n\t\tboard(:,:,3) = ['  yyoo  ';'  ryyp  ';'rrroobgg';'rrryobbb';'ryyyoppp';'rrrorybg';' gyybo  ';'  oyb   '];\r\n\t\tboard(:,:,4) = ['        ';'  yybp  ';' robop  ';'  gbboo ';' boybo  ';' rbggpp ';'  ybbo  ';'        '];\r\n\t\tboard(:,:,5) = ['        ';'        ';'   boo  ';'  ggbb  ';'  oyyy  ';'   ppp  ';'        ';'        '];\r\n\t\tboard(:,:,6) = ['        ';'        ';'   oo   ';'  g bb  ';'  ooyy  ';'    p   ';'        ';'        '];\r\n\t\tboard(:,:,7) = ['        ';'        ';'        ';'    o   ';'   oy   ';'        ';'        ';'        '];\r\n\t\tassert(isequal(rumis_scorer4(board,stencil),'o'))\r\nend\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":26769,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":25,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-03-21T03:35:46.000Z","updated_at":"2025-11-03T11:20:28.000Z","published_at":"2015-03-21T03:35:45.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/media/image1.JPEG\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/media/image1.png\"}],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis problem is very similar to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://www.mathworks.com/matlabcentral/cody/problems/3101-rumis-scorer-3\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eRumis Scorer 3\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e. The main difference with this problem is that the board will not be completely filled in. In other words, the maximum heights designated by the stencil will not necessarily be occupied. Write a function to count the squares visible when viewed from above to determine who won each round (the stencil may or may not be helpful). See the test suite for additional examples (including test cases 1 and 2, which represent the completed boards shown below).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"},{\"partUri\":\"/media/image1.JPEG\",\"contentType\":\"image/JPEG\",\"content\":\"data:image/JPEG;base64,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\"},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\"}]}"}],"term":"tag:\"rumis\"","current_player_id":null,"fields":[{"name":"page","type":"integer","callback":null,"default":1,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":null,"prepend":true},{"name":"per_page","type":"integer","callback":null,"default":50,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":null,"prepend":true},{"name":"sort","type":"string","callback":null,"default":null,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":null,"prepend":true},{"name":"body","type":"text","callback":null,"default":"*:*","directive":null,"facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":false},{"name":"group","type":"string","callback":null,"default":null,"directive":"group","facet":true,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"difficulty_rating_bin","type":"string","callback":null,"default":null,"directive":"difficulty_rating_bin","facet":true,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"id","type":"integer","callback":null,"default":null,"directive":"id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"tag","type":"string","callback":null,"default":null,"directive":"tag","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"product","type":"string","callback":null,"default":null,"directive":"product","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"created_at","type":"timeframe","callback":{},"default":null,"directive":"created_at","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"profile_id","type":"integer","callback":null,"default":null,"directive":"author_id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"created_by","type":"string","callback":null,"default":null,"directive":"author","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"player_id","type":"integer","callback":null,"default":null,"directive":"solver_id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"player","type":"string","callback":null,"default":null,"directive":"solver","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"solvers_count","type":"integer","callback":null,"default":null,"directive":"solvers_count","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"comments_count","type":"integer","callback":null,"default":null,"directive":"comments_count","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"likes_count","type":"integer","callback":null,"default":null,"directive":"likes_count","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"leader_id","type":"integer","callback":null,"default":null,"directive":"leader_id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"leading_solution","type":"integer","callback":null,"default":null,"directive":"leading_solution","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true}],"filters":[{"name":"asset_type","type":"string","callback":null,"default":null,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":"\"cody:problem\"","prepend":true},{"name":"profile_id","type":"integer","callback":{},"default":null,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":"author_id","static":null,"prepend":true}],"query":{"params":{"per_page":50,"term":"tag:\"rumis\"","current_player":null,"sort":"map(difficulty_value,0,0,999) asc"},"parser":"MathWorks::Search::Solr::QueryParser","directives":{"term":{"directives":{"tag":[["tag:\"rumis\"","","\"","rumis","\""]]}}},"facets":{"#\u003cMathWorks::Search::Field:0x00007fa2bf43e068\u003e":null,"#\u003cMathWorks::Search::Field:0x00007fa2bf43dfc8\u003e":null},"filters":{"#\u003cMathWorks::Search::Field:0x00007fa2bf43d5c8\u003e":"\"cody:problem\""},"fields":{"#\u003cMathWorks::Search::Field:0x00007fa2bf43e388\u003e":1,"#\u003cMathWorks::Search::Field:0x00007fa2bf43e2e8\u003e":50,"#\u003cMathWorks::Search::Field:0x00007fa2bf43e248\u003e":"map(difficulty_value,0,0,999) asc","#\u003cMathWorks::Search::Field:0x00007fa2bf43e1a8\u003e":"tag:\"rumis\""},"user_query":{"#\u003cMathWorks::Search::Field:0x00007fa2bf43e1a8\u003e":"tag:\"rumis\""},"queried_facets":{}},"query_backend":{"connection":{"configuration":{"index_url":"http://index-op-v2/solr/","query_url":"http://search-op-v2/solr/","direct_access_index_urls":["http://index-op-v2/solr/"],"direct_access_query_urls":["http://search-op-v2/solr/"],"timeout":10,"vhost":"search","exchange":"search.topic","heartbeat":30,"pre_index_mode":false,"host":"rabbitmq-eks","port":5672,"username":"search","password":"J3bGPZzQ7asjJcCk","virtual_host":"search","indexer":"amqp","http_logging":"true","core":"cody"},"query_connection":{"uri":"http://search-op-v2/solr/cody/","proxy":null,"connection":{"parallel_manager":null,"headers":{"User-Agent":"Faraday v1.0.1"},"params":{},"options":{"params_encoder":"Faraday::FlatParamsEncoder","proxy":null,"bind":null,"timeout":null,"open_timeout":null,"read_timeout":null,"write_timeout":null,"boundary":null,"oauth":null,"context":null,"on_data":null},"ssl":{"verify":true,"ca_file":null,"ca_path":null,"verify_mode":null,"cert_store":null,"client_cert":null,"client_key":null,"certificate":null,"private_key":null,"verify_depth":null,"version":null,"min_version":null,"max_version":null},"default_parallel_manager":null,"builder":{"adapter":{"name":"Faraday::Adapter::NetHttp","args":[],"block":null},"handlers":[{"name":"Faraday::Response::RaiseError","args":[],"block":null}],"app":{"app":{"ssl_cert_store":{"verify_callback":null,"error":null,"error_string":null,"chain":null,"time":null},"app":{},"connection_options":{},"config_block":null}}},"url_prefix":"http://search-op-v2/solr/cody/","manual_proxy":false,"proxy":null},"update_format":"RSolr::JSON::Generator","update_path":"update","options":{"url":"http://search-op-v2/solr/cody"}}},"query":{"params":{"per_page":50,"term":"tag:\"rumis\"","current_player":null,"sort":"map(difficulty_value,0,0,999) asc"},"parser":"MathWorks::Search::Solr::QueryParser","directives":{"term":{"directives":{"tag":[["tag:\"rumis\"","","\"","rumis","\""]]}}},"facets":{"#\u003cMathWorks::Search::Field:0x00007fa2bf43e068\u003e":null,"#\u003cMathWorks::Search::Field:0x00007fa2bf43dfc8\u003e":null},"filters":{"#\u003cMathWorks::Search::Field:0x00007fa2bf43d5c8\u003e":"\"cody:problem\""},"fields":{"#\u003cMathWorks::Search::Field:0x00007fa2bf43e388\u003e":1,"#\u003cMathWorks::Search::Field:0x00007fa2bf43e2e8\u003e":50,"#\u003cMathWorks::Search::Field:0x00007fa2bf43e248\u003e":"map(difficulty_value,0,0,999) asc","#\u003cMathWorks::Search::Field:0x00007fa2bf43e1a8\u003e":"tag:\"rumis\""},"user_query":{"#\u003cMathWorks::Search::Field:0x00007fa2bf43e1a8\u003e":"tag:\"rumis\""},"queried_facets":{}},"options":{"fields":["id","difficulty_rating"]},"join":" "},"results":[{"id":3100,"difficulty_rating":"easy"},{"id":3099,"difficulty_rating":"easy"},{"id":3101,"difficulty_rating":"easy-medium"},{"id":3102,"difficulty_rating":"medium"}]}}