Problem 3102. Rumis Scorer 4

Created by goc3

Solve Later

{"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":"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>This problem is very similar to</w:t></w:r><w:r><w:t> </w:t></w:r><w:hyperlink w:docLocation=\"https://www.mathworks.com/matlabcentral/cody/problems/3101-rumis-scorer-3\"><w:r><w:t>Rumis Scorer 3</w:t></w:r></w:hyperlink><w:r><w:t>. 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).</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: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=\"rId2\"/></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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Last Solution submitted on Aug 19, 2022

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Solution 7731719

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1 Comment

Dyuman Joshi on 19 Mar 2022

Can be improved

Solution 6575854

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Problem 3102. Rumis Scorer 4

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Problem 3102. Rumis Scorer 4

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