Problem 3100. Rumis Scorer 2

Created by goc3

Solve Later

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The picture below shows a completed 4-player round. There are a variety of board stencils and permissible heights possible in this game.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>For 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.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>Write a function to count the squares visible when viewed from above to determine who won each round.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId1\"/></w:customXmlPr></w:customXml></w:p></w:body></w:document>"},{"partUri":"/matlab/output.xml","contentType":"text/xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\" ?><embeddedOutputs><metaData><evaluationState>manual</evaluationState><layoutState>code</layoutState><outputStatus>ready</outputStatus></metaData><outputArray type=\"array\"/><regionArray 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<a href = "http://en.wikipedia.org/wiki/Rumis">Rumis</a> 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.For 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.Write a function to count the squares visible when viewed from above to determine who won each round.<img src = "http://www.exodusbooks.com/Samples/Games/RumisCoricanchaBig.jpg">

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Problem 3100. Rumis Scorer 2

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Problem 3100. Rumis Scorer 2

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