{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2026-05-26T00:16:20.000Z","description":"Problems submitted by members of the MATLAB Central community.","is_default":true,"created_by":161519,"badge_id":null,"featured":false,"trending":false,"solution_count_in_trending_period":0,"trending_last_calculated":"2026-05-26T00:00:00.000Z","image_id":null,"published":true,"community_created":false,"status_id":2,"is_default_group_for_player":false,"deleted_by":null,"deleted_at":null,"restored_by":null,"restored_at":null,"description_opc":null,"description_html":null,"published_at":null},"problems":[{"id":42319,"title":"How close to a hole","description":"Suppose you have a description of good places (ones) and bad places (zeros). You want to know your distance from a bad place (in the sense of your location in the array/vector). For example:\r\n\r\n  tfs = [0 0 0 1 1 1 1 1 0 0 0 1 1 1 0 0 0];\r\n\r\nFor this scenario, we want to have:\r\n\r\n  distancesFromHoles = [0 0 0 1 2 3 2 1 0 0 0 1 2 1 0 0 0];\r\n\r\nLets assume that outside the sequence there are zeros. For example:\r\n\r\n                 tfs = [1 1 1 0 0 1 1 0 1 1 1 1 1 1 1];\r\n  distancesFromHoles = [1 2 1 0 0 1 1 0 1 2 3 4 3 2 1];\r\n","description_html":"\u003cp\u003eSuppose you have a description of good places (ones) and bad places (zeros). You want to know your distance from a bad place (in the sense of your location in the array/vector). For example:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003etfs = [0 0 0 1 1 1 1 1 0 0 0 1 1 1 0 0 0];\r\n\u003c/pre\u003e\u003cp\u003eFor this scenario, we want to have:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003edistancesFromHoles = [0 0 0 1 2 3 2 1 0 0 0 1 2 1 0 0 0];\r\n\u003c/pre\u003e\u003cp\u003eLets assume that outside the sequence there are zeros. For example:\u003c/p\u003e\u003cpre\u003e                 tfs = [1 1 1 0 0 1 1 0 1 1 1 1 1 1 1];\r\n  distancesFromHoles = [1 2 1 0 0 1 1 0 1 2 3 4 3 2 1];\u003c/pre\u003e","function_template":"function y = distancesFromHoles(x)\r\n  d = diff([0 v]);\r\nend","test_suite":"%%\r\n        x = [0 0 1 1 1 0];\r\ny_correct = [0 0 1 2 1 0];\r\nassert(isequal(distancesFromHoles(x),y_correct))\r\n\r\n%%\r\n        x = [1 1 1 0 0 1 1 0 1 1 1 1 1 1 1];\r\ny_correct = [1 2 1 0 0 1 1 0 1 2 3 4 3 2 1];\r\nassert(isequal(distancesFromHoles(x),y_correct))\r\n\r\n%%\r\nx = [ones(1,10),0,ones(1,10)];\r\ny_correct = [1:5,5:-1:0,1:5,5:-1:1];\r\nassert(isequal(distancesFromHoles(x),y_correct))\r\n\r\n%%\r\n        x = [1 1 1 0 0 0 0 0 0 0 0 0 1 1 1];\r\ny_correct = [1 2 1 0 0 0 0 0 0 0 0 0 1 2 1];\r\nassert(isequal(distancesFromHoles(x),y_correct))\r\n\r\n%%\r\nx = ones(1,101);\r\ny_correct = [1:51,50:-1:1];\r\nassert(isequal(distancesFromHoles(x),y_correct))\r\n\r\n%%\r\nx = [repmat([1,0],[1,50]),1];\r\ny_correct = x;\r\nassert(isequal(distancesFromHoles(x),y_correct))","published":true,"deleted":false,"likes_count":2,"comments_count":1,"created_by":44119,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":58,"test_suite_updated_at":"2018-03-03T19:22:09.000Z","rescore_all_solutions":false,"group_id":39,"created_at":"2015-05-17T08:00:09.000Z","updated_at":"2026-04-02T08:20:08.000Z","published_at":"2015-05-17T08:01:59.000Z","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\":[],\"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\u003eSuppose you have a description of good places (ones) and bad places (zeros). You want to know your distance from a bad place (in the sense of your location in the array/vector). For example:\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[tfs = [0 0 0 1 1 1 1 1 0 0 0 1 1 1 0 0 0];]]\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 scenario, we want to have:\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[distancesFromHoles = [0 0 0 1 2 3 2 1 0 0 0 1 2 1 0 0 0];]]\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\u003eLets assume that outside the sequence there are zeros. For example:\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[                 tfs = [1 1 1 0 0 1 1 0 1 1 1 1 1 1 1];\\n  distancesFromHoles = [1 2 1 0 0 1 1 0 1 2 3 4 3 2 1];]]\u003e\u003c/w:t\u003e\u003c/w:r\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\"}]}"}],"problem_search":{"problems":[{"id":42319,"title":"How close to a hole","description":"Suppose you have a description of good places (ones) and bad places (zeros). You want to know your distance from a bad place (in the sense of your location in the array/vector). For example:\r\n\r\n  tfs = [0 0 0 1 1 1 1 1 0 0 0 1 1 1 0 0 0];\r\n\r\nFor this scenario, we want to have:\r\n\r\n  distancesFromHoles = [0 0 0 1 2 3 2 1 0 0 0 1 2 1 0 0 0];\r\n\r\nLets assume that outside the sequence there are zeros. For example:\r\n\r\n                 tfs = [1 1 1 0 0 1 1 0 1 1 1 1 1 1 1];\r\n  distancesFromHoles = [1 2 1 0 0 1 1 0 1 2 3 4 3 2 1];\r\n","description_html":"\u003cp\u003eSuppose you have a description of good places (ones) and bad places (zeros). You want to know your distance from a bad place (in the sense of your location in the array/vector). For example:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003etfs = [0 0 0 1 1 1 1 1 0 0 0 1 1 1 0 0 0];\r\n\u003c/pre\u003e\u003cp\u003eFor this scenario, we want to have:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003edistancesFromHoles = [0 0 0 1 2 3 2 1 0 0 0 1 2 1 0 0 0];\r\n\u003c/pre\u003e\u003cp\u003eLets assume that outside the sequence there are zeros. For example:\u003c/p\u003e\u003cpre\u003e                 tfs = [1 1 1 0 0 1 1 0 1 1 1 1 1 1 1];\r\n  distancesFromHoles = [1 2 1 0 0 1 1 0 1 2 3 4 3 2 1];\u003c/pre\u003e","function_template":"function y = distancesFromHoles(x)\r\n  d = diff([0 v]);\r\nend","test_suite":"%%\r\n        x = [0 0 1 1 1 0];\r\ny_correct = [0 0 1 2 1 0];\r\nassert(isequal(distancesFromHoles(x),y_correct))\r\n\r\n%%\r\n        x = [1 1 1 0 0 1 1 0 1 1 1 1 1 1 1];\r\ny_correct = [1 2 1 0 0 1 1 0 1 2 3 4 3 2 1];\r\nassert(isequal(distancesFromHoles(x),y_correct))\r\n\r\n%%\r\nx = [ones(1,10),0,ones(1,10)];\r\ny_correct = [1:5,5:-1:0,1:5,5:-1:1];\r\nassert(isequal(distancesFromHoles(x),y_correct))\r\n\r\n%%\r\n        x = [1 1 1 0 0 0 0 0 0 0 0 0 1 1 1];\r\ny_correct = [1 2 1 0 0 0 0 0 0 0 0 0 1 2 1];\r\nassert(isequal(distancesFromHoles(x),y_correct))\r\n\r\n%%\r\nx = ones(1,101);\r\ny_correct = [1:51,50:-1:1];\r\nassert(isequal(distancesFromHoles(x),y_correct))\r\n\r\n%%\r\nx = [repmat([1,0],[1,50]),1];\r\ny_correct = x;\r\nassert(isequal(distancesFromHoles(x),y_correct))","published":true,"deleted":false,"likes_count":2,"comments_count":1,"created_by":44119,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":58,"test_suite_updated_at":"2018-03-03T19:22:09.000Z","rescore_all_solutions":false,"group_id":39,"created_at":"2015-05-17T08:00:09.000Z","updated_at":"2026-04-02T08:20:08.000Z","published_at":"2015-05-17T08:01:59.000Z","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\":[],\"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\u003eSuppose you have a description of good places (ones) and bad places (zeros). You want to know your distance from a bad place (in the sense of your location in the array/vector). For example:\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[tfs = [0 0 0 1 1 1 1 1 0 0 0 1 1 1 0 0 0];]]\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 scenario, we want to have:\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[distancesFromHoles = [0 0 0 1 2 3 2 1 0 0 0 1 2 1 0 0 0];]]\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\u003eLets assume that outside the sequence there are zeros. For example:\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[                 tfs = [1 1 1 0 0 1 1 0 1 1 1 1 1 1 1];\\n  distancesFromHoles = [1 2 1 0 0 1 1 0 1 2 3 4 3 2 1];]]\u003e\u003c/w:t\u003e\u003c/w:r\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\"}]}"}],"errors":[],"facets":[[{"value":"Indexing IV","count":1,"selected":false}],[{"value":"medium","count":1,"selected":false}]],"term":"tag:\"holes\"","page":1,"per_page":50,"sort":"map(difficulty_value,0,0,999) asc"}}