{"group":{"group":{"id":98245,"name":"Cody100 Challenge 2026 | BAE Systems","lockable":false,"created_at":"2026-08-05T15:54:03.000Z","updated_at":"2026-10-26T09:31:03.000Z","description":"100 MATLAB challenges to get ready for the BAE Systems User Forum 2026.\nㅤ\nWhat is Cody100?\nCody100 is a collection of 100 MATLAB coding challenges designed to help you strengthen your MATLAB skills through hands-on problem solving.\nStarting with the fundamentals and progressing to more advanced concepts, the challenge gives you the opportunity to learn, practice, and improve your MATLAB coding skills at your own pace between the MATLAB EXPO UK and the BAE Systems User Forum 2026.\n100 MATLAB self-paced coding challenges\nReal-world problem-solving practice\nTopics ranging from fundamentals to advanced MATLAB concepts\nA fun way to benchmark and improve your MATLAB skills\nㅤ\nComplete the Challenge\nSolve all 100 problems before the BAE Systems User Forum 2026 on 23 November and become an official Cody100 Finisher.\nComplete all 100 challenges to:\nBecome a Cody100 Finisher\nReceive a Cody100 Certificate\nEnter the draw to win one of 5 MathWorks merchandise prizes\nThe winners will be drawn during the User Forum, so make sure you join us on the day!\nㅤ\nContinue Your Learning\nLooking to go further? We recommend looking at:\nYour MathWorks Resources Page for BAE Systems\nMATLAB Self-Paced Online Training and Learning Paths\nMathWorks Certifications and Credly digital badges\nInstructor-led Classroom Training courses\nㅤ\nQuestions?\nReach out to Adrien Biencourt (abiencou@mathworks.com)","is_default":false,"created_by":377337,"badge_id":62,"featured":false,"trending":false,"solution_count_in_trending_period":1262,"trending_last_calculated":"2026-10-23T00:00:00.000Z","image_id":7302,"published":false,"community_created":true,"status_id":2,"is_default_group_for_player":false,"deleted_by":null,"deleted_at":null,"restored_by":null,"restored_at":null,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"heading\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e100 MATLAB challenges to get ready for the BAE Systems User Forum 2026.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"heading\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eㅤ\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:u/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eWhat is Cody100?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eCody100\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is a collection of 100 MATLAB coding challenges designed to help you strengthen your MATLAB skills through hands-on problem solving.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eStarting with the fundamentals and progressing to more advanced concepts, the challenge gives you the opportunity to learn, practice, and improve your MATLAB coding skills at your own pace between the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://www.matlabexpo.com/uk/2026.html\\\"\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eMATLAB EXPO UK\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e and the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://uk.mathworks.com/company/events/webinars/upcoming/bae-systems-matlab-and-simulink-user-forum-2026-5600200.html\\\"\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eBAE Systems User Forum 2026\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e100 MATLAB self-paced coding challenges\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReal-world problem-solving practice\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eTopics ranging from fundamentals to advanced MATLAB concepts\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA fun way to benchmark and improve your MATLAB skills\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"heading\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eㅤ\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:u/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eComplete the Challenge\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSolve all 100 problems before the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://uk.mathworks.com/company/events/webinars/upcoming/bae-systems-matlab-and-simulink-user-forum-2026-5600200.html\\\"\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eBAE Systems User Forum 2026\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e on 23 November\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and become an official \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eCody100 Finisher\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eComplete all 100 challenges to:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eBecome a Cody100 Finisher\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReceive a Cody100 Certificate\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEnter the draw to win one of 5 MathWorks merchandise prizes\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eThe winners will be drawn during the User Forum, so make sure you join us on the day!\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"heading\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eㅤ\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:u/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eContinue Your Learning\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eLooking to go further? We recommend looking at:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"https://content.mathworks.com/viewer/61814d92a220fcc68348af89\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eYour MathWorks Resources Page for BAE Systems\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"https://matlabacademy.mathworks.com/\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eMATLAB Self-Paced Online Training and Learning Paths\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"https://uk.mathworks.com/learn/training/digital-credentials.html\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eMathWorks Certifications and Credly digital badges\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"https://uk.mathworks.com/learn/training/classroom-courses.html\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eInstructor-led Classroom Training courses\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"heading\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eㅤ\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:u/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eQuestions?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReach out to Adrien Biencourt (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"about:blank\u0026lt;\u0026gt;\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eabiencou@mathworks.com\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(33, 33, 33); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"block-size: 863.812px; display: block; min-width: 0px; padding-block-start: 0px; padding-inline-start: 2px; padding-left: 2px; padding-top: 0px; perspective-origin: 360px 431.906px; transform-origin: 360px 431.906px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 40px; font-family: Helvetica, Arial, sans-serif; font-size: 20px; font-weight: 700; line-height: 20px; margin-block-end: 5px; margin-block-start: 3px; margin-bottom: 5px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 3px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 20px; text-align: left; transform-origin: 336px 20px; white-space-collapse: preserve; margin-left: 4px; margin-top: 3px; margin-bottom: 5px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e100 MATLAB challenges to get ready for the BAE Systems User Forum 2026.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20px; font-family: Helvetica, Arial, sans-serif; font-size: 20px; font-weight: 700; line-height: 20px; margin-block-end: 5px; margin-block-start: 20px; margin-bottom: 5px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 20px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10px; text-align: left; transform-origin: 336px 10px; white-space-collapse: preserve; margin-left: 4px; margin-top: 20px; margin-bottom: 5px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eㅤ\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10.5px; text-align: left; transform-origin: 336px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; text-decoration: underline; text-decoration-line: underline; \"\u003eWhat is Cody100?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 21px; text-align: left; transform-origin: 336px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eCody100\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is a collection of 100 MATLAB coding challenges designed to help you strengthen your MATLAB skills through hands-on problem solving.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 31.5px; text-align: left; transform-origin: 336px 31.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eStarting with the fundamentals and progressing to more advanced concepts, the challenge gives you the opportunity to learn, practice, and improve your MATLAB coding skills at your own pace between the \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://www.matlabexpo.com/uk/2026.html\"\u003e\u003cspan style=\"border-block-end-color: rgb(0, 91, 130); border-block-start-color: rgb(0, 91, 130); border-bottom-color: rgb(0, 91, 130); border-inline-end-color: rgb(0, 91, 130); border-inline-start-color: rgb(0, 91, 130); border-left-color: rgb(0, 91, 130); border-right-color: rgb(0, 91, 130); border-top-color: rgb(0, 91, 130); caret-color: rgb(0, 91, 130); color: rgb(0, 91, 130); column-rule-color: rgb(0, 91, 130); outline-color: rgb(0, 91, 130); row-rule-color: rgb(0, 91, 130); text-decoration-color: rgb(0, 91, 130); text-emphasis-color: rgb(0, 91, 130); \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eMATLAB EXPO UK\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and the \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://uk.mathworks.com/company/events/webinars/upcoming/bae-systems-matlab-and-simulink-user-forum-2026-5600200.html\"\u003e\u003cspan style=\"border-block-end-color: rgb(0, 91, 130); border-block-start-color: rgb(0, 91, 130); border-bottom-color: rgb(0, 91, 130); border-inline-end-color: rgb(0, 91, 130); border-inline-start-color: rgb(0, 91, 130); border-left-color: rgb(0, 91, 130); border-right-color: rgb(0, 91, 130); border-top-color: rgb(0, 91, 130); caret-color: rgb(0, 91, 130); color: rgb(0, 91, 130); column-rule-color: rgb(0, 91, 130); outline-color: rgb(0, 91, 130); row-rule-color: rgb(0, 91, 130); text-decoration-color: rgb(0, 91, 130); text-emphasis-color: rgb(0, 91, 130); \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eBAE Systems User Forum 2026\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.75px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 343px 40.875px; transform-origin: 343px 40.875px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e100 MATLAB self-paced coding challenges\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eReal-world problem-solving practice\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eTopics ranging from fundamentals to advanced MATLAB concepts\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eA fun way to benchmark and improve your MATLAB skills\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 20px; font-family: Helvetica, Arial, sans-serif; font-size: 20px; font-weight: 700; line-height: 20px; margin-block-end: 5px; margin-block-start: 20px; margin-bottom: 5px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 20px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10px; text-align: left; transform-origin: 336px 10px; white-space-collapse: preserve; margin-left: 4px; margin-top: 20px; margin-bottom: 5px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eㅤ\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10.5px; text-align: left; transform-origin: 336px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; text-decoration: underline; text-decoration-line: underline; \"\u003eComplete the Challenge\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 21px; text-align: left; transform-origin: 336px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSolve all 100 problems before the \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://uk.mathworks.com/company/events/webinars/upcoming/bae-systems-matlab-and-simulink-user-forum-2026-5600200.html\"\u003e\u003cspan style=\"border-block-end-color: rgb(0, 91, 130); border-block-start-color: rgb(0, 91, 130); border-bottom-color: rgb(0, 91, 130); border-inline-end-color: rgb(0, 91, 130); border-inline-start-color: rgb(0, 91, 130); border-left-color: rgb(0, 91, 130); border-right-color: rgb(0, 91, 130); border-top-color: rgb(0, 91, 130); caret-color: rgb(0, 91, 130); color: rgb(0, 91, 130); column-rule-color: rgb(0, 91, 130); outline-color: rgb(0, 91, 130); row-rule-color: rgb(0, 91, 130); text-decoration-color: rgb(0, 91, 130); text-emphasis-color: rgb(0, 91, 130); \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eBAE Systems User Forum 2026\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e on 23 November\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and become an official \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eCody100 Finisher\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10.5px; text-align: left; transform-origin: 336px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eComplete all 100 challenges to:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 61.3125px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 343px 30.6562px; transform-origin: 343px 30.6562px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eBecome a Cody100 Finisher\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eReceive a Cody100 Certificate\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eEnter the draw to win one of 5 MathWorks merchandise prizes\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10.5px; text-align: left; transform-origin: 336px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eThe winners will be drawn during the User Forum, so make sure you join us on the day!\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20px; font-family: Helvetica, Arial, sans-serif; font-size: 20px; font-weight: 700; line-height: 20px; margin-block-end: 5px; margin-block-start: 20px; margin-bottom: 5px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 20px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10px; text-align: left; transform-origin: 336px 10px; white-space-collapse: preserve; margin-left: 4px; margin-top: 20px; margin-bottom: 5px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eㅤ\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10.5px; text-align: left; transform-origin: 336px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; text-decoration: underline; text-decoration-line: underline; \"\u003eContinue Your Learning\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10.5px; text-align: left; transform-origin: 336px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eLooking to go further? We recommend looking at:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.75px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 343px 40.875px; transform-origin: 343px 40.875px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003ca target='_blank' href = \"https://content.mathworks.com/viewer/61814d92a220fcc68348af89\"\u003e\u003cspan style=\"border-block-end-color: rgb(0, 91, 130); border-block-start-color: rgb(0, 91, 130); border-bottom-color: rgb(0, 91, 130); border-inline-end-color: rgb(0, 91, 130); border-inline-start-color: rgb(0, 91, 130); border-left-color: rgb(0, 91, 130); border-right-color: rgb(0, 91, 130); border-top-color: rgb(0, 91, 130); caret-color: rgb(0, 91, 130); color: rgb(0, 91, 130); column-rule-color: rgb(0, 91, 130); outline-color: rgb(0, 91, 130); row-rule-color: rgb(0, 91, 130); text-decoration-color: rgb(0, 91, 130); text-emphasis-color: rgb(0, 91, 130); \"\u003e\u003cspan style=\"\"\u003eYour MathWorks Resources Page for BAE Systems\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003ca target='_blank' href = \"https://matlabacademy.mathworks.com/\"\u003e\u003cspan style=\"border-block-end-color: rgb(0, 91, 130); border-block-start-color: rgb(0, 91, 130); border-bottom-color: rgb(0, 91, 130); border-inline-end-color: rgb(0, 91, 130); border-inline-start-color: rgb(0, 91, 130); border-left-color: rgb(0, 91, 130); border-right-color: rgb(0, 91, 130); border-top-color: rgb(0, 91, 130); caret-color: rgb(0, 91, 130); color: rgb(0, 91, 130); column-rule-color: rgb(0, 91, 130); outline-color: rgb(0, 91, 130); row-rule-color: rgb(0, 91, 130); text-decoration-color: rgb(0, 91, 130); text-emphasis-color: rgb(0, 91, 130); \"\u003e\u003cspan style=\"\"\u003eMATLAB Self-Paced Online Training and Learning Paths\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003ca target='_blank' href = \"https://uk.mathworks.com/learn/training/digital-credentials.html\"\u003e\u003cspan style=\"border-block-end-color: rgb(0, 91, 130); border-block-start-color: rgb(0, 91, 130); border-bottom-color: rgb(0, 91, 130); border-inline-end-color: rgb(0, 91, 130); border-inline-start-color: rgb(0, 91, 130); border-left-color: rgb(0, 91, 130); border-right-color: rgb(0, 91, 130); border-top-color: rgb(0, 91, 130); caret-color: rgb(0, 91, 130); color: rgb(0, 91, 130); column-rule-color: rgb(0, 91, 130); outline-color: rgb(0, 91, 130); row-rule-color: rgb(0, 91, 130); text-decoration-color: rgb(0, 91, 130); text-emphasis-color: rgb(0, 91, 130); \"\u003e\u003cspan style=\"\"\u003eMathWorks Certifications and Credly digital badges\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 315px 10.2188px; text-align: left; transform-origin: 315px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003ca target='_blank' href = \"https://uk.mathworks.com/learn/training/classroom-courses.html\"\u003e\u003cspan style=\"border-block-end-color: rgb(0, 91, 130); border-block-start-color: rgb(0, 91, 130); border-bottom-color: rgb(0, 91, 130); border-inline-end-color: rgb(0, 91, 130); border-inline-start-color: rgb(0, 91, 130); border-left-color: rgb(0, 91, 130); border-right-color: rgb(0, 91, 130); border-top-color: rgb(0, 91, 130); caret-color: rgb(0, 91, 130); color: rgb(0, 91, 130); column-rule-color: rgb(0, 91, 130); outline-color: rgb(0, 91, 130); row-rule-color: rgb(0, 91, 130); text-decoration-color: rgb(0, 91, 130); text-emphasis-color: rgb(0, 91, 130); \"\u003e\u003cspan style=\"\"\u003eInstructor-led Classroom Training courses\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 20px; font-family: Helvetica, Arial, sans-serif; font-size: 20px; font-weight: 700; line-height: 20px; margin-block-end: 5px; margin-block-start: 20px; margin-bottom: 5px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 20px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10px; text-align: left; transform-origin: 336px 10px; white-space-collapse: preserve; margin-left: 4px; margin-top: 20px; margin-bottom: 5px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eㅤ\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10.5px; text-align: left; transform-origin: 336px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; text-decoration: underline; text-decoration-line: underline; \"\u003eQuestions?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 336px 10.5px; text-align: left; transform-origin: 336px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eReach out to Adrien Biencourt (\u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"about:blank\u0026lt;\u0026gt;\"\u003e\u003cspan style=\"border-block-end-color: rgb(0, 91, 130); border-block-start-color: rgb(0, 91, 130); border-bottom-color: rgb(0, 91, 130); border-inline-end-color: rgb(0, 91, 130); border-inline-start-color: rgb(0, 91, 130); border-left-color: rgb(0, 91, 130); border-right-color: rgb(0, 91, 130); border-top-color: rgb(0, 91, 130); caret-color: rgb(0, 91, 130); color: rgb(0, 91, 130); column-rule-color: rgb(0, 91, 130); outline-color: rgb(0, 91, 130); row-rule-color: rgb(0, 91, 130); text-decoration-color: rgb(0, 91, 130); text-emphasis-color: rgb(0, 91, 130); \"\u003e\u003cspan style=\"\"\u003eabiencou@mathworks.com\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","published_at":null},"current_player":null},"problems":[{"id":8,"title":"Add two numbers","description":"Given a and b, return the sum a+b in c.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 21px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 10.5px; transform-origin: 407px 10.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 123.5px 8px; transform-origin: 123.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a and b, return the sum a+b in c.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function c = add_two_numbers(a,b)\r\n  c = 17;\r\nend","test_suite":"%%\r\nfiletext = fileread('add_two_numbers.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp') || ...\r\n          contains(filetext, 'if') || contains(filetext, 'switch'); \r\nassert(~illegal)\r\n\r\n%%\r\na = 1;\r\nb = 2;\r\nc_correct = 3;\r\nassert(isequal(add_two_numbers(a,b),c_correct))\r\n\r\n%%\r\na = 17;\r\nb = 2;\r\nc_correct = 19;\r\nassert(isequal(add_two_numbers(a,b),c_correct))\r\n\r\n\r\n%%\r\na = -5;\r\nb = 2;\r\nc_correct = -3;\r\nassert(isequal(add_two_numbers(a,b),c_correct))\r\n\r\n%%\r\na = randi(1e4);\r\nb = -a;\r\nassert(isequal(add_two_numbers(a,b),0))\r\n\r\n%%\r\na = randi(1e3);\r\nb = a;\r\nassert(isequal(add_two_numbers(a,b),2*a))\r\n","published":true,"deleted":false,"likes_count":314,"comments_count":88,"created_by":1,"edited_by":223089,"edited_at":"2022-12-19T10:49:35.000Z","deleted_by":null,"deleted_at":null,"solvers_count":48204,"test_suite_updated_at":"2022-12-19T10:49:47.000Z","rescore_all_solutions":false,"group_id":2,"created_at":"2012-01-18T01:00:18.000Z","updated_at":"2026-10-29T10:33:32.000Z","published_at":"2012-01-18T01:00:18.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a and b, return the sum a+b in c.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":3,"title":"Find the sum of all the numbers of the input vector","description":"Find the sum of all the numbers of the input vector x. \r\n\r\n Examples:\r\n\r\n  Input  x = [1 2 3 5]\r\n  Output y is 11\r\n\r\n  Input  x = [42 -1]\r\n  Output y is 41\r\n ","description_html":"\u003cp\u003eFind the sum of all the numbers of the input vector x.\u003c/p\u003e\u003cpre\u003e Examples:\u003c/pre\u003e\u003cpre class=\"language-matlab\"\u003eInput  x = [1 2 3 5]\r\nOutput y is 11\r\n\u003c/pre\u003e\u003cpre class=\"language-matlab\"\u003eInput  x = [42 -1]\r\nOutput y is 41\r\n\u003c/pre\u003e","function_template":"function y = vecsum(x)\r\n   y = x\r\nend","test_suite":"%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(vecsum(x),y_correct))\r\n\r\n%%\r\nx = [1 2 3 5];\r\ny_correct = 11;\r\nassert(isequal(vecsum(x),y_correct))\r\n\r\n%%\r\nx = [1 2 3 5];\r\ny_correct = 11;\r\nassert(isequal(vecsum(x),y_correct))\r\n\r\n%%\r\nx = 1:100;\r\ny_correct = 5050;\r\nassert(isequal(vecsum(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":354,"comments_count":88,"created_by":1,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":55762,"test_suite_updated_at":"2013-07-17T17:49:37.000Z","rescore_all_solutions":false,"group_id":2,"created_at":"2012-01-18T01:00:17.000Z","updated_at":"2026-10-29T11:34:50.000Z","published_at":"2012-01-18T01:00:17.000Z","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\u003eFind the sum of all the numbers of the input vector x.\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[ Examples:\\n\\nInput  x = [1 2 3 5]\\nOutput y is 11\\n\\nInput  x = [42 -1]\\nOutput y is 41]]\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\"}]}"},{"id":1702,"title":"Maximum value in a matrix","description":"Find the maximum value in the given matrix.\r\n\r\nFor example, if \r\n\r\n A = [1 2 3; 4 7 8; 0 9 1];\r\n\r\nthen the answer is 9.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: normal; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"display: block; min-width: 0px; padding-top: 0px; transform-origin: 332px 56px; vertical-align: baseline; perspective-origin: 332px 56px; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; transform-origin: 309px 10.5px; white-space: pre-wrap; perspective-origin: 309px 10.5px; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; transform-origin: 0px 0px; perspective-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFind the maximum value in the given matrix.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; transform-origin: 309px 10.5px; white-space: pre-wrap; perspective-origin: 309px 10.5px; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; transform-origin: 0px 0px; perspective-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor example, if\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-bottom: 10px; margin-left: 3px; margin-right: 3px; margin-top: 10px; transform-origin: 329px 10px; perspective-origin: 329px 10px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-height: 18px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-right: 45px; min-height: 0px; padding-left: 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; perspective-origin: 0px 0px; margin-right: 45px; \"\u003e\u003cspan style=\"margin-right: 0px; \"\u003e A = [1 2 3; 4 7 8; 0 9 1];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; margin-left: 4px; margin-right: 10px; margin-top: 10px; text-align: left; transform-origin: 309px 10.5px; white-space: pre-wrap; perspective-origin: 309px 10.5px; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; transform-origin: 0px 0px; perspective-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003ethen the answer is 9.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = your_fcn_name(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = [1 2 3; 4 5 6; 7 8 9];\r\ny_correct = 9;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = -10:0;\r\ny_correct = 0;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 17;\r\ny_correct = 17;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = magic(6);\r\ny_correct = 36;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = [5 23 6 2 9 0 -1]';\r\ny_correct = 23;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n\r\n","published":true,"deleted":false,"likes_count":88,"comments_count":25,"created_by":6728,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":18693,"test_suite_updated_at":"2013-07-10T18:41:46.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2013-07-09T04:08:24.000Z","updated_at":"2026-10-29T11:35:25.000Z","published_at":"2013-07-09T04:08:24.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFind the maximum value in the given matrix.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, if\u003c/w:t\u003e\u003c/w:r\u003e\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[ A = [1 2 3; 4 7 8; 0 9 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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ethen the answer is 9.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":1545,"title":"Return area of square","description":"Side of square=input=a\r\n\r\nArea=output=b","description_html":"\u003cp\u003eSide of square=input=a\u003c/p\u003e\u003cp\u003eArea=output=b\u003c/p\u003e","function_template":"function b = area_square(a)\r\n  b = a;\r\nend","test_suite":"%%\r\nx = 0;\r\ny_correct = 0;\r\nassert(isequal(area_square(x),y_correct))\r\n%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(area_square(x),y_correct))\r\n%%\r\nx = 11;\r\ny_correct = 121;\r\nassert(isequal(area_square(x),y_correct))\r\n%%\r\nx = 101;\r\ny_correct = 10201;\r\nassert(isequal(area_square(x),y_correct))","published":true,"deleted":false,"likes_count":69,"comments_count":12,"created_by":14249,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":19173,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2013-06-03T09:56:54.000Z","updated_at":"2026-10-29T11:35:51.000Z","published_at":"2013-06-03T09:56:54.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eSide of square=input=a\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eArea=output=b\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\"}]}"},{"id":23,"title":"Finding Perfect Squares","description":"Given a vector of numbers, return true if one of the numbers is a square of one of the numbers. Otherwise return false.\r\nExample:\r\n Input  a = [2 3 4]\r\n Output b is true\r\nOutput is true since 2^2 is 4 and both 2 and 4 appear on the list.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 132.867px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 66.4333px; transform-origin: 407px 66.4333px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 374px 8px; transform-origin: 374px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a vector of numbers, return true if one of the numbers is a square of one of the numbers. Otherwise return false.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.5px 8px; transform-origin: 28.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eExample:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 40.8667px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 20.4333px; transform-origin: 404px 20.4333px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 76px 8.5px; tab-size: 4; transform-origin: 76px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e Input  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 44px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 44px 8.5px; \"\u003ea = [2 3 4]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 68px 8.5px; tab-size: 4; transform-origin: 68px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e Output \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003eb is true\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 202px 8px; transform-origin: 202px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eOutput is true since 2^2 is 4 and both 2 and 4 appear on the list.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function b = isItSquared(a)\r\n\r\n  b = true;\r\n\r\nend","test_suite":"%%\r\nfiletext = fileread('isItSquared.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp'); \r\nassert(~illegal)\r\n\r\n%%\r\na = [2 3 4];\r\nassert(isequal(isItSquared(a),true))\r\n\r\n%%\r\na = [20:30];\r\nassert(isequal(isItSquared(a),false))\r\n\r\n%%\r\na = 1;\r\nassert(isequal(isItSquared(a),true))\r\n\r\n%%\r\na = 0;\r\nassert(isequal(isItSquared(a),true))\r\n\r\n%%\r\na = [6 10 12 14 36 101];\r\nassert(isequal(isItSquared(a),true))\r\n\r\n%%\r\na = [6 10 12 14 101];\r\nassert(isequal(isItSquared(a),false))\r\n\r\n%%\r\na = primes(50);\r\nassert(isequal(isItSquared(a),false))\r\n","published":true,"deleted":false,"likes_count":191,"comments_count":51,"created_by":1,"edited_by":223089,"edited_at":"2023-08-21T13:31:52.000Z","deleted_by":null,"deleted_at":null,"solvers_count":21958,"test_suite_updated_at":"2023-08-21T13:31:52.000Z","rescore_all_solutions":false,"group_id":2,"created_at":"2012-01-18T01:00:20.000Z","updated_at":"2026-10-29T13:32:54.000Z","published_at":"2012-01-18T01:00:20.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a vector of numbers, return true if one of the numbers is a square of one of the numbers. Otherwise return false.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eExample:\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[ Input  a = [2 3 4]\\n Output b is true]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOutput is true since 2^2 is 4 and both 2 and 4 appear on the list.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":2,"title":"Make the vector [1 2 3 4 5 6 7 8 9 10]","description":"In MATLAB, you create a vector by enclosing the elements in square brackets like so:\r\n\r\n x = [1 2 3 4]\r\n\r\nCommas are optional, so you can also type\r\n\r\n x = [1, 2, 3, 4]\r\n\r\nCreate the vector\r\n\r\n x = [1 2 3 4 5 6 7 8 9 10]\r\n\r\nThere's a faster way to do it using MATLAB's \u003chttp://www.mathworks.com/help/techdoc/ref/colon.html colon notation\u003e.","description_html":"\u003cp\u003eIn MATLAB, you create a vector by enclosing the elements in square brackets like so:\u003c/p\u003e\u003cpre\u003e x = [1 2 3 4]\u003c/pre\u003e\u003cp\u003eCommas are optional, so you can also type\u003c/p\u003e\u003cpre\u003e x = [1, 2, 3, 4]\u003c/pre\u003e\u003cp\u003eCreate the vector\u003c/p\u003e\u003cpre\u003e x = [1 2 3 4 5 6 7 8 9 10]\u003c/pre\u003e\u003cp\u003eThere's a faster way to do it using MATLAB's \u003ca href = \"http://www.mathworks.com/help/techdoc/ref/colon.html\"\u003ecolon notation\u003c/a\u003e.\u003c/p\u003e","function_template":"function x = oneToTen\r\n  x = 0;\r\nend","test_suite":"%%\r\nx_correct = [1 2 3 4 5 6 7 8 9 10];\r\nassert(isequal(oneToTen,x_correct))","published":true,"deleted":false,"likes_count":226,"comments_count":56,"created_by":1,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":53870,"test_suite_updated_at":"2012-01-18T01:00:17.000Z","rescore_all_solutions":false,"group_id":2,"created_at":"2012-01-18T01:00:17.000Z","updated_at":"2026-10-29T11:38:26.000Z","published_at":"2012-01-18T01:00:17.000Z","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\u003eIn MATLAB, you create a vector by enclosing the elements in square brackets like so:\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[ x = [1 2 3 4]]]\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\u003eCommas are optional, so you can also type\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[ x = [1, 2, 3, 4]]]\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\u003eCreate the vector\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[ x = [1 2 3 4 5 6 7 8 9 10]]]\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\u003eThere's a faster way to do it using MATLAB's\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=\\\"http://www.mathworks.com/help/techdoc/ref/colon.html\\\"\u003e\u003cw:r\u003e\u003cw:t\u003ecolon notation\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\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\"}]}"},{"id":1035,"title":"Generate a vector like 1,2,2,3,3,3,4,4,4,4","description":"Generate a vector like 1,2,2,3,3,3,4,4,4,4\r\nSo if n = 3, then return\r\n [1 2 2 3 3 3]\r\nAnd if n = 5, then return\r\n [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5]","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 142.867px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 406.5px 71.4333px; transform-origin: 406.5px 71.4333px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 131.767px 7.81667px; transform-origin: 131.767px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGenerate a vector like 1,2,2,3,3,3,4,4,4,4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 72.5833px 7.81667px; transform-origin: 72.5833px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSo if n = 3, then return\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 403.5px 10.2167px; transform-origin: 403.5px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; text-wrap-mode: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 54.7167px 8.375px; tab-size: 4; transform-origin: 54.7167px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e [1 2 2 3 3 3]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 76.4917px 7.81667px; transform-origin: 76.4917px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAnd if n = 5, then return\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 403.5px 10.2167px; transform-origin: 403.5px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; text-wrap-mode: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 125.067px 8.375px; tab-size: 4; transform-origin: 125.067px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function ans = your_fcn_name(n)\r\n n\r\nend","test_suite":"%%\r\nfiletext = fileread('your_fcn_name.m');\r\nassert(isempty(strfind(filetext, 'assignin')))\r\nassert(isempty(strfind(filetext, 'if')))\r\nassert(isempty(strfind(filetext, 'regexp')))\r\n\r\n%%\r\nx = 2;\r\ny_correct = [1 2 2];\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 5;\r\ny_correct = [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5];\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 10;\r\ny_correct = [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 ...\r\n  6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 ...\r\n  9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10];\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 12;\r\ny_correct = [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 ...\r\n  6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 ...\r\n  9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 ...\r\n  11 11 11 11 11 11 11 11 11 11 11 ...\r\n  12 12 12 12 12 12 12 12 12 12 12 12];\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 9;\r\ny_correct = [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 ...\r\n  6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 ...\r\n  9 9 9 9 9 9 9 9 9];\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 7;\r\ny_correct = [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 ...\r\n  6 6 6 6 6 6 7 7 7 7 7 7 7];\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 15;\r\ny_correct = [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 ...\r\n  6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 ...\r\n  9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 ...\r\n  11 11 11 11 11 11 11 11 11 11 11 ...\r\n  12 12 12 12 12 12 12 12 12 12 12 12 ...\r\n  13 13 13 13 13 13 13 13 13 13 13 13 13 ...\r\n  14 14 14 14 14 14 14 14 14 14 14 14 14 14 ...\r\n  15 15 15 15 15 15 15 15 15 15 15 15 15 15 15];\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":140,"comments_count":29,"created_by":3668,"edited_by":223089,"edited_at":"2024-07-03T14:23:36.000Z","deleted_by":null,"deleted_at":null,"solvers_count":14493,"test_suite_updated_at":"2024-07-03T14:23:36.000Z","rescore_all_solutions":false,"group_id":13,"created_at":"2012-11-15T03:31:29.000Z","updated_at":"2026-10-29T11:39:25.000Z","published_at":"2012-11-15T03:33:41.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGenerate a vector like 1,2,2,3,3,3,4,4,4,4\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSo if n = 3, then return\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 2 3 3 3]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAnd if n = 5, then return\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 2 3 3 3 4 4 4 4 5 5 5 5 5]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":5,"title":"Triangle Numbers","description":"Triangle numbers are the sums of successive integers. So 6 is a triangle number because\r\n 6 = 1 + 2 + 3\r\nwhich can be displayed in a triangular shape like so\r\n      *\r\n     * *\r\n    * * *\r\nThus 6 = triangle(3). Given n, return t, the triangular number for n.\r\nExample:\r\n Input  n = 4\r\n Output t is 10","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 265.6px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 132.8px; transform-origin: 407px 132.8px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 282px 8px; transform-origin: 282px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eTriangle numbers are the sums of successive integers. So 6 is a triangle number because\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 56px 8.5px; tab-size: 4; transform-origin: 56px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 6 = 1 + 2 + 3\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 162px 8px; transform-origin: 162px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ewhich can be displayed in a triangular shape like so\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 61.3px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 30.65px; transform-origin: 404px 30.65px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 28px 8.5px; tab-size: 4; transform-origin: 28px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e      *\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 32px 8.5px; tab-size: 4; transform-origin: 32px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     * *\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 36px 8.5px; tab-size: 4; transform-origin: 36px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    * * *\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 208.5px 8px; transform-origin: 208.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThus 6 = triangle(3). Given n, return t, the triangular number for n.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.5px 8px; transform-origin: 28.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eExample:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 40.8667px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 20.4333px; transform-origin: 404px 20.4333px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e Input  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003en = 4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 60px 8.5px; tab-size: 4; transform-origin: 60px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e Output \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003et is 10\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function t = triangle(n)\r\n t = n;\r\nend","test_suite":"%%\r\nfiletext = fileread('triangle.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp') || ...\r\n          contains(filetext, 'if') || contains(filetext, 'switch'); \r\nassert(~illegal)\r\n\r\n%%\r\nn = 1;\r\nt = 1;\r\nassert(isequal(triangle(n),t))\r\n\r\n%%\r\nn = 3;\r\nt = 6;\r\nassert(isequal(triangle(n),t))\r\n\r\n%%\r\nn = 5;\r\nt = 15;\r\nassert(isequal(triangle(n),t))\r\n\r\n%%\r\nn = 30;\r\nt = 465;\r\nassert(isequal(triangle(n),t))\r\n\r\n%%\r\nn = 30;\r\nt = 465;\r\nassert(isequal(triangle(n),t))","published":true,"deleted":false,"likes_count":146,"comments_count":28,"created_by":1,"edited_by":223089,"edited_at":"2022-12-21T10:26:58.000Z","deleted_by":null,"deleted_at":null,"solvers_count":30991,"test_suite_updated_at":"2022-12-21T10:26:58.000Z","rescore_all_solutions":false,"group_id":2,"created_at":"2012-01-18T01:00:17.000Z","updated_at":"2026-10-29T11:41:19.000Z","published_at":"2012-01-18T01:00:17.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eTriangle numbers are the sums of successive integers. So 6 is a triangle number because\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[ 6 = 1 + 2 + 3]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ewhich can be displayed in a triangular shape like so\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[      *\\n     * *\\n    * * *]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThus 6 = triangle(3). Given n, return t, the triangular number for n.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eExample:\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[ Input  n = 4\\n Output t is 10]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":2015,"title":"Length of the hypotenuse","description":"Given short sides of lengths a and b, calculate the length c of the hypotenuse of the right-angled triangle.\r\n\r\n\u003c\u003chttps://i.imgur.com/73mQn4N.png\u003e\u003e\r\n\r\nImage courtesy of \u003chttp://upload.wikimedia.org/wikipedia/commons/7/7c/Right_Angle_Triangle.svg Wikipedia\u003e.","description_html":"\u003cp\u003eGiven short sides of lengths a and b, calculate the length c of the hypotenuse of the right-angled triangle.\u003c/p\u003e\u003cimg src = \"https://i.imgur.com/73mQn4N.png\"\u003e\u003cp\u003eImage courtesy of \u003ca href = \"http://upload.wikimedia.org/wikipedia/commons/7/7c/Right_Angle_Triangle.svg\"\u003eWikipedia\u003c/a\u003e.\u003c/p\u003e","function_template":"function c = hypotenuse(a,b)\r\n  c = \r\nend","test_suite":"%%\r\na = 1;\r\nb = 2; \r\nc_correct = sqrt(5);\r\ntolerance = 1e-12 ; \r\nassert(abs(hypotenuse(a,b)-c_correct)\u003ctolerance);\r\n%%\r\na = 3;\r\nb = 4;\r\nc_correct = 5; \r\ntolerance = 1e-12 ; \r\nassert(abs(hypotenuse(a,b)-c_correct)\u003ctolerance);\r\n%%\r\na = 5;\r\nb = 12;\r\nc_correct = 13; \r\ntolerance = 1e-12 ; \r\nassert(abs(hypotenuse(a,b)-c_correct)\u003ctolerance);\r\n","published":true,"deleted":false,"likes_count":69,"comments_count":14,"created_by":974,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":17271,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":7,"created_at":"2013-11-27T20:11:28.000Z","updated_at":"2026-10-29T11:41:52.000Z","published_at":"2013-11-28T17:12:06.000Z","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.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\u003eGiven short sides of lengths a and b, calculate the length c of the hypotenuse of the right-angled triangle.\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:r\u003e\u003cw:t\u003eImage courtesy of\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=\\\"http://upload.wikimedia.org/wikipedia/commons/7/7c/Right_Angle_Triangle.svg\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eWikipedia\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\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\"},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\"}]}"},{"id":6,"title":"Select every other element of a vector","description":"Write a function which returns every other element of the vector passed in. That is, it returns the all odd-numbered elements, starting with the first.\r\nExamples:\r\n Input  x = [1 3 2 4 3 5]\r\n Output y is [1 2 3]\r\n\r\n Input  x = [5 9 3 2 2 0 -1]\r\n Output y is [5 3 2 -1]","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 184.167px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 92.0833px; transform-origin: 407px 92.0833px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 361.5px 8px; transform-origin: 361.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function which returns every other element of the vector passed in. That is, it returns the all odd-numbered elements, starting with the first.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 32px 8px; transform-origin: 32px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eExamples:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 102.167px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 51.0833px; transform-origin: 404px 51.0833px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 100px 8.5px; tab-size: 4; transform-origin: 100px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e Input  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 68px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 68px 8.5px; \"\u003ex = [1 3 2 4 3 5]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 80px 8.5px; tab-size: 4; transform-origin: 80px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e Output \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 48px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 48px 8.5px; \"\u003ey is [1 2 3]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 112px 8.5px; tab-size: 4; transform-origin: 112px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e Input  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 80px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 80px 8.5px; \"\u003ex = [5 9 3 2 2 0 -1]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 92px 8.5px; tab-size: 4; transform-origin: 92px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e Output \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 60px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 60px 8.5px; \"\u003ey is [5 3 2 -1]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = everyOther(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nfiletext = fileread('everyOther.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp'); \r\nassert(~illegal)\r\n\r\n%%\r\nx = rand(1,1);\r\nactual = everyOther(x);\r\nassert(isequal(actual, x))\r\n\r\n%%\r\nx = rand(1,10);\r\nactual = everyOther(x);\r\nexpected = [x(1) x(3) x(5) x(7) x(9)];\r\nassert(isequal(actual, expected))\r\n\r\n%%\r\nx = rand(1,100);\r\nactual = everyOther(x);\r\nexpected = [x(1) x(3) x(5) x(7) x(9) x(11) x(13) x(15) x(17) x(19) ...\r\n    x(21) x(23) x(25) x(27) x(29) x(31) x(33) x(35) x(37) x(39) ...\r\n    x(41) x(43) x(45) x(47) x(49) x(51) x(53) x(55) x(57) x(59) ...\r\n    x(61) x(63) x(65) x(67) x(69) x(71) x(73) x(75) x(77) x(79) ...\r\n    x(81) x(83) x(85) x(87) x(89) x(91) x(93) x(95) x(97) x(99)];\r\nassert(isequal(actual, expected))\r\n\r\n%%\r\nx = ['A' 'long' 'time' 'ago' 'in' 'a' 'galaxy' 'far' 'far' 'away'];\r\nactual = everyOther(x);\r\nexpected = 'Aogiegiaaayafrwy';\r\nassert(isequal(actual, expected))\r\n\r\n%%\r\nx = randi(100,10,1);\r\nactual = everyOther(x);\r\nexpected = [x(1);x(3);x(5);x(7);x(9)];\r\nassert(isequal(actual, expected))\r\n\r\n%%\r\nx = primes(20)';\r\nactual = everyOther(x);\r\nexpected = [2 5 11 17]';\r\nassert(isequal(actual, expected))","published":true,"deleted":false,"likes_count":204,"comments_count":57,"created_by":1,"edited_by":223089,"edited_at":"2023-07-12T18:56:59.000Z","deleted_by":null,"deleted_at":null,"solvers_count":37437,"test_suite_updated_at":"2023-07-12T18:56:59.000Z","rescore_all_solutions":false,"group_id":2,"created_at":"2012-01-18T01:00:17.000Z","updated_at":"2026-10-29T11:42:47.000Z","published_at":"2012-01-18T01:00:17.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function which returns every other element of the vector passed in. That is, it returns the all odd-numbered elements, starting with the first.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eExamples:\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[ Input  x = [1 3 2 4 3 5]\\n Output y is [1 2 3]\\n\\n Input  x = [5 9 3 2 2 0 -1]\\n Output y is [5 3 2 -1]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":233,"title":"Reverse the vector","description":"Reverse the vector elements.\r\n\r\nExample:\r\n\r\n Input  x = [1,2,3,4,5,6,7,8,9] \r\n Output y = [9,8,7,6,5,4,3,2,1]","description_html":"\u003cp\u003eReverse the vector elements.\u003c/p\u003e\u003cp\u003eExample:\u003c/p\u003e\u003cpre\u003e Input  x = [1,2,3,4,5,6,7,8,9] \r\n Output y = [9,8,7,6,5,4,3,2,1]\u003c/pre\u003e","function_template":"function y = reverseVector(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(reverseVector(x),y_correct))\r\n\r\n%%\r\nx = -10:1;\r\ny_correct = 1:-1:-10;\r\nassert(isequal(reverseVector(x),y_correct))\r\n\r\n%%\r\nx = 'able was i ere i saw elba';\r\ny_correct = 'able was i ere i saw elba';\r\nassert(isequal(reverseVector(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":59,"comments_count":9,"created_by":868,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":17241,"test_suite_updated_at":"2016-10-23T02:09:16.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-02-02T15:28:45.000Z","updated_at":"2026-10-29T13:22:11.000Z","published_at":"2012-02-02T20:11:32.000Z","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\u003eReverse the vector elements.\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\u003eExample:\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[ Input  x = [1,2,3,4,5,6,7,8,9] \\n Output y = [9,8,7,6,5,4,3,2,1]]]\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\"}]}"},{"id":7,"title":"Column Removal","description":"Remove the nth column from input matrix A and return the resulting matrix in output B.\r\n\r\nSo if \r\n\r\n A = [1 2 3;\r\n      4 5 6];\r\n\r\nand \r\n\r\n n = 2 \r\n\r\nthen B is\r\n\r\n [ 1 3  \r\n   4 6 ]\r\n","description_html":"\u003cp\u003eRemove the nth column from input matrix A and return the resulting matrix in output B.\u003c/p\u003e\u003cp\u003eSo if\u003c/p\u003e\u003cpre\u003e A = [1 2 3;\r\n      4 5 6];\u003c/pre\u003e\u003cp\u003eand\u003c/p\u003e\u003cpre\u003e n = 2 \u003c/pre\u003e\u003cp\u003ethen B is\u003c/p\u003e\u003cpre\u003e [ 1 3  \r\n   4 6 ]\u003c/pre\u003e","function_template":"function B = column_removal(A,n)\r\n  B = A;\r\nend","test_suite":"%%\r\nA = [1 2 3; 4 5 6];\r\nn = 2;\r\nB_correct = [1 3; 4 6];\r\nassert(isequal(column_removal(A,n),B_correct))\r\n\r\n%%\r\nA = magic(4);\r\nn = 3;\r\nB = [16     2    13;\r\n      5    11     8;\r\n      9     7    12;\r\n      4    14     1];\r\nB_correct = B;\r\nassert(isequal(column_removal(A,n),B_correct))\r\n\r\n%%\r\nA = 1:10;\r\nn = 7;\r\nB_correct = [1 2 3 4 5 6 8 9 10];\r\nassert(isequal(column_removal(A,n),B_correct))\r\n","published":true,"deleted":false,"likes_count":141,"comments_count":25,"created_by":1,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":28421,"test_suite_updated_at":"2019-07-24T15:11:33.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-01-18T01:00:17.000Z","updated_at":"2026-10-29T13:23:23.000Z","published_at":"2012-01-18T01:00:17.000Z","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\u003eRemove the nth column from input matrix A and return the resulting matrix in output B.\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\u003eSo if\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[ A = [1 2 3;\\n      4 5 6];]]\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\u003eand\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[ n = 2]]\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\u003ethen B is\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 3  \\n   4 6 ]]]\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\"}]}"},{"id":262,"title":"Swap the input arguments","description":"Write a two-input, two-output function that swaps its two input arguments. For example:\r\n\r\n   [q,r] = swap(5,10)\r\n\r\nreturns q = 10 and r = 5.","description_html":"\u003cp\u003eWrite a two-input, two-output function that swaps its two input arguments. For example:\u003c/p\u003e\u003cpre\u003e   [q,r] = swap(5,10)\u003c/pre\u003e\u003cp\u003ereturns q = 10 and r = 5.\u003c/p\u003e","function_template":"function [q,r] = swapInputs(a,b)\r\n  [q,r] = cart2pol(a,b);\r\nend","test_suite":"%%\r\n[q,r] = swapInputs(5,10);\r\nassert(isequal(q,10));\r\nassert(isequal(r,5));\r\n\r\n%%\r\n[q,r] = swapInputs(magic(3), 'hello, world');\r\nassert(isequal(q,'hello, world'));\r\nassert(isequal(r,magic(3)));\r\n\r\n%%\r\n[q,r] = swapInputs({}, NaN);\r\nassert(isnan(q));\r\nassert(iscell(r) \u0026\u0026 isempty(r));\r\n","published":true,"deleted":false,"likes_count":79,"comments_count":12,"created_by":4303371,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":13993,"test_suite_updated_at":"2012-02-05T05:04:01.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-02-05T05:04:01.000Z","updated_at":"2026-10-29T14:35:47.000Z","published_at":"2012-02-05T05:04:30.000Z","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\u003eWrite a two-input, two-output function that swaps its two input arguments. 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[   [q,r] = swap(5,10)]]\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\u003ereturns q = 10 and r = 5.\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\"}]}"},{"id":19,"title":"Swap the first and last columns","description":"Flip the outermost columns of matrix A, so that the first column becomes the last and the last column becomes the first. All other columns should be left intact. Return the result in matrix B.\r\nIf the input has one column, the output should be identical to the input.\r\nExample:\r\n Input  A =  [ 12  4   7\r\n                5  1   4 ];\r\n Output B is [  7  4  12 \r\n                4  1   5 ];","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 193.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 406.5px 96.8667px; transform-origin: 406.5px 96.8667px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 21px; text-align: left; transform-origin: 383.5px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 374.642px 7.81667px; transform-origin: 374.642px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFlip the outermost columns of matrix A, so that the first column becomes the last and the last column becomes the first. All other columns should be left intact. Return the result in matrix B.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 227.242px 7.81667px; transform-origin: 227.242px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf the input has one column, the output should be identical to the input.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 30.7083px 7.81667px; transform-origin: 30.7083px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eExample:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 81.7333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 403.5px 40.8667px; transform-origin: 403.5px 40.8667px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 93.8px 8.375px; tab-size: 4; transform-origin: 93.8px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 31.2667px 8.375px; transform-origin: 31.2667px 8.375px; \"\u003e Input  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 11.725px 8.375px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 11.725px 8.375px; \"\u003eA =\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 7.81667px 8.375px; transform-origin: 7.81667px 8.375px; \"\u003e  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 42.9917px 8.375px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 42.9917px 8.375px; \"\u003e[ 12  4   7\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 105.525px 8.375px; tab-size: 4; transform-origin: 105.525px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e                5  1   4 ];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 97.7083px 8.375px; tab-size: 4; transform-origin: 97.7083px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 31.2667px 8.375px; transform-origin: 31.2667px 8.375px; \"\u003e Output \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 66.4417px 8.375px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 66.4417px 8.375px; \"\u003eB is [  7  4  12 \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 105.525px 8.375px; tab-size: 4; transform-origin: 105.525px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e                4  1   5 ];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function B = swap_ends(A)\r\n  B = A;\r\nend","test_suite":"%%\r\nfiletext = fileread('swap_ends.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp');\r\nassert(~illegal)\r\n\r\n%%\r\nA = [ 12  4   7\r\n       5  1   4];\r\nB_correct = [  7  4  12 \r\n               4  1   5 ];\r\nassert(isequal(swap_ends(A),B_correct))\r\n\r\n%%\r\nA = [ 12  7\r\n       5  4];\r\nB_correct = [  7  12 \r\n               4   5 ];\r\nassert(isequal(swap_ends(A),B_correct))\r\n\r\n%%\r\nA = [ 1 5 0 2 3 ];\r\nB_correct = [ 3 5 0 2 1 ];\r\nassert(isequal(swap_ends(A),B_correct))\r\n\r\n%%\r\nA = 1;\r\nB_correct = 1;\r\nassert(isequal(swap_ends(A),B_correct))\r\n\r\n%%\r\nA = randi(100,10,1);\r\nB_correct = A;\r\nassert(isequal(swap_ends(A),B_correct))","published":true,"deleted":false,"likes_count":119,"comments_count":18,"created_by":1,"edited_by":223089,"edited_at":"2024-06-30T13:52:17.000Z","deleted_by":null,"deleted_at":null,"solvers_count":23306,"test_suite_updated_at":"2024-06-30T13:52:17.000Z","rescore_all_solutions":false,"group_id":2,"created_at":"2012-01-18T01:00:19.000Z","updated_at":"2026-10-29T14:52:18.000Z","published_at":"2012-01-18T01:00:19.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFlip the outermost columns of matrix A, so that the first column becomes the last and the last column becomes the first. All other columns should be left intact. Return the result in matrix B.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf the input has one column, the output should be identical to the input.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eExample:\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[ Input  A =  [ 12  4   7\\n                5  1   4 ];\\n Output B is [  7  4  12 \\n                4  1   5 ];]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":838,"title":"Check if number exists in vector","description":"Return 1 if number a exists in vector b otherwise return 0.\r\na = 3;\r\nb = [1,2,4];\r\nReturns 0.\r\na = 3;\r\nb = [1,2,3];\r\nReturns 1.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 184.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 406.5px 92.3667px; transform-origin: 406.5px 92.3667px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 59.1833px 7.81667px; transform-origin: 59.1833px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eReturn 1 if number\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2.23333px 7.81667px; transform-origin: 2.23333px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3.90833px 7.81667px; transform-origin: 3.90833px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 50.8083px 7.81667px; transform-origin: 50.8083px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e exists in vector\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2.23333px 7.81667px; transform-origin: 2.23333px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4.46667px 7.81667px; transform-origin: 4.46667px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 61.975px 7.81667px; transform-origin: 61.975px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e otherwise return 0.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 40.8667px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 403.5px 20.4333px; transform-origin: 403.5px 20.4333px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 23.45px 8.375px; tab-size: 4; transform-origin: 23.45px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ea = 3;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 46.9px 8.375px; tab-size: 4; transform-origin: 46.9px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eb = [1,2,4];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 33.5px 7.81667px; transform-origin: 33.5px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eReturns 0.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 40.8667px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 403.5px 20.4333px; transform-origin: 403.5px 20.4333px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 23.45px 8.375px; tab-size: 4; transform-origin: 23.45px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ea = 3;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 46.9px 8.375px; tab-size: 4; transform-origin: 46.9px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eb = [1,2,3];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 33.5px 7.81667px; transform-origin: 33.5px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eReturns 1.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = existsInVector(a,b)\r\n  y = [a,b];\r\nend","test_suite":"%%\r\na = 1;\r\nb = [1,2];\r\ny_correct = 1;\r\nassert(isequal(existsInVector(a,b),y_correct))\r\n%%\r\na = 12;\r\nb = [1,3,4,5,6,7,8,1,2];\r\ny_correct = 0;\r\nassert(isequal(existsInVector(a,b),y_correct))\r\n%%\r\na = -1;\r\nb = [1,2];\r\ny_correct = 0;\r\nassert(isequal(existsInVector(a,b),y_correct))\r\n%%\r\na = 2;\r\nb = [2,3,4,5];\r\ny_correct = 1;\r\nassert(isequal(existsInVector(a,b),y_correct))","published":true,"deleted":false,"likes_count":64,"comments_count":10,"created_by":5506,"edited_by":223089,"edited_at":"2024-06-30T08:23:12.000Z","deleted_by":null,"deleted_at":null,"solvers_count":14620,"test_suite_updated_at":"2024-06-30T08:23:12.000Z","rescore_all_solutions":false,"group_id":12,"created_at":"2012-07-17T09:01:43.000Z","updated_at":"2026-10-29T14:51:51.000Z","published_at":"2012-07-17T09:01:43.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReturn 1 if number\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e exists in vector\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e otherwise return 0.\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[a = 3;\\nb = [1,2,4];]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReturns 0.\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[a = 3;\\nb = [1,2,3];]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReturns 1.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":10,"title":"Determine whether a vector is monotonically increasing","description":"Return true if the elements of the input vector increase monotonically (i.e. each element is larger than the previous). Return false otherwise.\r\nExamples:\r\n Input  x = [-3 0 7]\r\n Output tf is true\r\n\r\n Input  x = [2 2]\r\n Output tf is false","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 184.188px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407.5px 92.0938px; transform-origin: 407.5px 92.0938px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384.5px 21px; text-align: left; transform-origin: 384.5px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eReturn true if the elements of the input vector increase monotonically (i.e. each element is larger than the previous). Return false otherwise.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384.5px 10.5px; text-align: left; transform-origin: 384.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eExamples:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 102.188px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404.5px 51.0938px; transform-origin: 404.5px 51.0938px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 0.666667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.666667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.666667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.666667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404.5px 10.2188px; text-wrap: nowrap; transform-origin: 404.5px 10.2188px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e Input  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); \"\u003ex = [-3 0 7]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 0.666667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.666667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.666667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.666667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404.5px 10.2188px; text-wrap: nowrap; transform-origin: 404.5px 10.2188px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e Output \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); \"\u003etf is true\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 0.666667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.666667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.666667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.666667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404.5px 10.2188px; text-wrap: nowrap; transform-origin: 404.5px 10.2188px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 0.666667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.666667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.666667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.666667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404.5px 10.2188px; text-wrap: nowrap; transform-origin: 404.5px 10.2188px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e Input  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); \"\u003ex = [2 2]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 0.666667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.666667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.666667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.666667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404.5px 10.2188px; text-wrap: nowrap; transform-origin: 404.5px 10.2188px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e Output \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); \"\u003etf is false\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function tf = mono_increase(x)\r\n  tf = false;\r\nend","test_suite":"%%\r\nfiletext = fileread('mono_increase.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp') || ...\r\n          contains(filetext, 'elseif'); \r\nassert(~illegal)\r\n\r\n%%\r\nx = [0 1 2 3 4];\r\nassert(isequal(mono_increase(x),true));\r\n\r\n%%\r\nx = [0 1 2 3 -4];\r\nassert(isequal(mono_increase(x),false));\r\n\r\n%%\r\nx = [-3 -4 2 3 4];\r\nassert(isequal(mono_increase(x),false));\r\n\r\n%%\r\nx = 1:.1:10;\r\nassert(isequal(mono_increase(x),true));\r\n\r\n%%\r\nx = cumsum(rand(1,100));\r\nx(5) = -1;\r\nassert(isequal(mono_increase(x),false));\r\n\r\n%%\r\nx = cumsum(rand(1,50));\r\nassert(isequal(mono_increase(x),true));\r\n\r\n%%\r\nx = ones(1,25);\r\nassert(isequal(mono_increase(x),false));\r\n\r\n%%\r\nx = [5 4 3 2 1];\r\nassert(isequal(mono_increase(x),false));\r\n\r\n%%\r\nx = [1 2 3 3 4 5];\r\nassert(isequal(mono_increase(x),false));","published":true,"deleted":false,"likes_count":164,"comments_count":45,"created_by":1,"edited_by":7,"edited_at":"2023-09-11T20:15:05.000Z","deleted_by":null,"deleted_at":null,"solvers_count":23618,"test_suite_updated_at":"2023-09-11T20:15:05.000Z","rescore_all_solutions":false,"group_id":2,"created_at":"2012-01-18T01:00:18.000Z","updated_at":"2026-10-29T13:28:30.000Z","published_at":"2012-01-18T01:00:18.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReturn true if the elements of the input vector increase monotonically (i.e. each element is larger than the previous). Return false otherwise.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eExamples:\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[ Input  x = [-3 0 7]\\n Output tf is true\\n\\n Input  x = [2 2]\\n Output tf is false]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":645,"title":"Getting the indices from a vector","description":"This is a basic MATLAB operation. It is for instructional purposes.\r\n---\r\nYou may already know how to find the logical indices of the elements of a vector that meet your criteria.\r\nThis exercise is for finding the index of indices that meet your criteria. The difference is this:\r\n     vec = [11 22 33 44];\r\n  thresh = 25;\r\n      vi = (vec \u003e thresh)\r\n\r\nvi =\r\n\r\n     0     0     1     1\r\nWhat we are looking for now is how to get the values\r\n   x =\r\n\r\n     3     4\r\nBecause those are the indices where the binary comparison is true.\r\n\r\nGiven a vector, vec, return the indices where vec is greater than scalar, thresh.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 457.333px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 406.5px 228.667px; transform-origin: 406.5px 228.667px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 211.05px 7.81667px; transform-origin: 211.05px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis is a basic MATLAB operation. It is for instructional purposes.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 6.7px 7.81667px; transform-origin: 6.7px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e---\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 96.5917px 7.81667px; transform-origin: 96.5917px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou may already know how to\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2.23333px 7.81667px; transform-origin: 2.23333px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"/#null\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003efind the logical indices\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 162.475px 7.81667px; transform-origin: 162.475px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e of the elements of a vector that meet your criteria.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 294.8px 7.81667px; transform-origin: 294.8px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis exercise is for finding the index of indices that meet your criteria. The difference is this:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 143.033px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 403.5px 71.5167px; transform-origin: 403.5px 71.5167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 97.7083px 8.375px; tab-size: 4; transform-origin: 97.7083px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     vec = [11 22 33 44];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 54.7167px 8.375px; tab-size: 4; transform-origin: 54.7167px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  thresh = 25;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 97.7083px 8.375px; tab-size: 4; transform-origin: 97.7083px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e      vi = (vec \u0026gt; thresh)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.375px; tab-size: 4; transform-origin: 0px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 15.6333px 8.375px; tab-size: 4; transform-origin: 15.6333px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003evi =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.375px; tab-size: 4; transform-origin: 0px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 93.8px 8.375px; tab-size: 4; transform-origin: 93.8px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     0     0     1     1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 169.175px 7.81667px; transform-origin: 169.175px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWhat we are looking for now is how to get the values\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 61.3px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 403.5px 30.65px; transform-origin: 403.5px 30.65px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 23.45px 8.375px; tab-size: 4; transform-origin: 23.45px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e   x =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.375px; tab-size: 4; transform-origin: 0px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 46.9px 8.375px; tab-size: 4; transform-origin: 46.9px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     3     4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 217.75px 7.81667px; transform-origin: 217.75px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eBecause those are the indices where the binary comparison is true.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 7.81667px; transform-origin: 0px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 250.692px 7.81667px; transform-origin: 250.692px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a vector, vec, return the indices where vec is greater than scalar, thresh.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function out = findIndices(vec, thresh)\r\n  out = 1;\r\nend","test_suite":"%%\r\nfiletext = fileread('findIndices.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp');\r\nassert(~illegal)\r\n\r\n\r\n%%\r\nout = [3 4];\r\nvec = [11 22 33 44];\r\nthresh = 25;\r\nassert(isequal(findIndices(vec, thresh),out))\r\n\r\n%%\r\nout = [1 2];\r\nvec = [33 44 11 22];\r\nthresh = 25;\r\nassert(isequal(findIndices(vec, thresh),out))\r\n\r\n%%\r\nout = 5:10;\r\nvec = 10:10:100;\r\nthresh = 45;\r\nassert(isequal(findIndices(vec, thresh),out))\r\n\r\n%%\r\nout = [1 3 4 6 8];\r\nvec = [12 10 13 14 9 17 5 18];\r\nthresh = 11;\r\nassert(isequal(findIndices(vec, thresh),out))\r\n\r\n%%\r\nout = [1:3 7:9];\r\nvec = [50 55 60 15 10 5 43 44 97 41];\r\nthresh = 42;\r\nassert(isequal(findIndices(vec, thresh),out))\r\n\r\n%%\r\nout = 5:8;\r\nvec = [10 12 14 16 18 20 22 23 7 8 9];\r\nthresh = 17;\r\nassert(isequal(findIndices(vec, thresh),out))\r\n\r\n%%\r\nout = [2 4:5 8 12:14 16];\r\nvec = [10 81 24 65 97 13 45 68 24 35 16 79 123 76 45 60];\r\nthresh = 51;\r\nassert(isequal(findIndices(vec, thresh),out))\r\n\r\n%%\r\nout = 1:2:9;\r\nvec = [11 9 12 8 13 7 14 6 15 5];\r\nthresh = 10;\r\nassert(isequal(findIndices(vec, thresh),out))","published":true,"deleted":false,"likes_count":69,"comments_count":6,"created_by":240,"edited_by":223089,"edited_at":"2024-06-28T16:25:40.000Z","deleted_by":null,"deleted_at":null,"solvers_count":12532,"test_suite_updated_at":"2024-06-28T16:25:40.000Z","rescore_all_solutions":false,"group_id":13,"created_at":"2012-05-01T15:07:35.000Z","updated_at":"2026-10-29T10:52:10.000Z","published_at":"2012-05-01T15:07:43.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis is a basic MATLAB operation. It is for instructional purposes.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e---\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou may already know how 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=\\\"\\\"\u003e\u003cw:r\u003e\u003cw:t\u003efind the logical indices\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e of the elements of a vector that meet your criteria.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis exercise is for finding the index of indices that meet your criteria. The difference is this:\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[     vec = [11 22 33 44];\\n  thresh = 25;\\n      vi = (vec \u003e thresh)\\n\\nvi =\\n\\n     0     0     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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWhat we are looking for now is how to get the values\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[   x =\\n\\n     3     4]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eBecause those are the indices where the binary comparison is true.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a vector, vec, return the indices where vec is greater than scalar, thresh.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":33,"title":"Create times-tables","description":"At one time or another, we all had to memorize boring times tables. 5 times 5 is 25. 5 times 6 is 30. 12 times 12 is way more than you think.\r\n\r\nWith MATLAB, times tables should be easy! Write a function that outputs times tables up to the size requested. \r\n\r\nExample:\r\n\r\n Input n = 5\r\n Output m is [ 1     2     3     4     5\r\n               2     4     6     8    10\r\n               3     6     9    12    15\r\n               4     8    12    16    20\r\n               5    10    15    20    25 ]\r\n","description_html":"\u003cp\u003eAt one time or another, we all had to memorize boring times tables. 5 times 5 is 25. 5 times 6 is 30. 12 times 12 is way more than you think.\u003c/p\u003e\u003cp\u003eWith MATLAB, times tables should be easy! Write a function that outputs times tables up to the size requested.\u003c/p\u003e\u003cp\u003eExample:\u003c/p\u003e\u003cpre\u003e Input n = 5\r\n Output m is [ 1     2     3     4     5\r\n               2     4     6     8    10\r\n               3     6     9    12    15\r\n               4     8    12    16    20\r\n               5    10    15    20    25 ]\u003c/pre\u003e","function_template":"function m = timestables(n)\r\n  m = 0;\r\nend","test_suite":"%%\r\nx = 2;\r\ny_correct = [1 2; 2 4];\r\nassert(isequal(timestables(x),y_correct))\r\n\r\n%%\r\nx = 3;\r\ny_correct = [1 2 3; 2 4 6; 3 6 9];\r\nassert(isequal(timestables(x),y_correct))\r\n\r\n%%\r\nx = 5;\r\ny_correct = [1 2 3 4 5; 2 4 6 8 10; 3 6 9 12 15; 4 8 12 16 20; 5 10 15 20 25];\r\nassert(isequal(timestables(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":115,"comments_count":29,"created_by":1,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":19979,"test_suite_updated_at":"2015-07-31T20:52:53.000Z","rescore_all_solutions":false,"group_id":2,"created_at":"2012-01-18T01:00:21.000Z","updated_at":"2026-10-28T14:18:07.000Z","published_at":"2012-01-18T01:00:21.000Z","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\u003eAt one time or another, we all had to memorize boring times tables. 5 times 5 is 25. 5 times 6 is 30. 12 times 12 is way more than you think.\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\u003eWith MATLAB, times tables should be easy! Write a function that outputs times tables up to the size requested.\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\u003eExample:\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[ Input n = 5\\n Output m is [ 1     2     3     4     5\\n               2     4     6     8    10\\n               3     6     9    12    15\\n               4     8    12    16    20\\n               5    10    15    20    25 ]]]\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\"}]}"},{"id":649,"title":"Return the first and last characters of a character array","description":"Return the first and last character of a string, concatenated together. If there is only one character in the string, the function should give that character back twice since it is both the first and last character of the string.\r\n\r\nExample:\r\n\r\n   stringfirstandlast('boring example') = 'be'","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 123.433px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 61.7167px; transform-origin: 407px 61.7167px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 364px 8px; transform-origin: 364px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eReturn the first and last characters of a character array, concatenated together. If there is only one character in the character array, the function should give that character back twice since it is both the first and last character of the character array.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.5px 8px; transform-origin: 28.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eExample:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 184px 8.5px; transform-origin: 184px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 88px 8.5px; transform-origin: 88px 8.5px; \"\u003e   stringfirstandlast(\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 64px 8.5px; text-decoration: none; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 64px 8.5px; \"\u003e'boring example'\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e) = \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 16px 8.5px; text-decoration: none; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 16px 8.5px; \"\u003e'be'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = stringfirstandlast(x)\r\n  y = x(1);\r\nend","test_suite":"%%\r\nx = 'abcde';\r\ny_correct = 'ae';\r\nassert(isequal(stringfirstandlast(x),y_correct))\r\n\r\n%%\r\nx = 'a';\r\ny_correct = 'aa';\r\nassert(isequal(stringfirstandlast(x),y_correct))\r\n\r\n%%\r\nx = 'codyrocks!';\r\ny_correct = 'c!';\r\nassert(isequal(stringfirstandlast(x),y_correct))\r\n\r\n%%\r\nx = ' ';\r\ny_correct = '  ';\r\nassert(isequal(stringfirstandlast(x),y_correct))\r\n\r\n%%\r\nx = '  ';\r\ny_correct = '  ';\r\nassert(isequal(stringfirstandlast(x),y_correct))\r\n\r\n%%\r\nx = 'az';\r\ny_correct = 'az';\r\nassert(isequal(stringfirstandlast(x),y_correct))\r\n\r\n%%\r\nx = 'abcdefghijklmnopqrstuvwxyz';\r\ny_correct = 'az';\r\nassert(isequal(stringfirstandlast(x),y_correct))\r\n\r\n%%\r\nx = '0123456789';\r\ny_correct = '09';\r\nassert(isequal(stringfirstandlast(x),y_correct))\r\n\r\n%%\r\nx = '09';\r\ny_correct = '09';\r\nassert(isequal(stringfirstandlast(x),y_correct))","published":true,"deleted":false,"likes_count":46,"comments_count":5,"created_by":134,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":12528,"test_suite_updated_at":"2021-01-20T11:13:02.000Z","rescore_all_solutions":false,"group_id":14,"created_at":"2012-05-01T18:41:40.000Z","updated_at":"2026-10-29T11:30:10.000Z","published_at":"2012-05-01T18:41:56.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReturn the first and last characters of a character array, concatenated together. If there is only one character in the character array, the function should give that character back twice since it is both the first and last character of the character array.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eExample:\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[   stringfirstandlast('boring example') = 'be']]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":568,"title":"Number of 1s in a binary string","description":"Find the number of 1s in the given binary string.\r\nExample. If the input string is '1100101', the output is 4. If the input string is '0000', the output is 0","description_html":"\u003cp\u003eFind the number of 1s in the given binary string.\r\nExample. If the input string is '1100101', the output is 4. If the input string is '0000', the output is 0\u003c/p\u003e","function_template":"function y = one(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = '0000';\r\ny_correct = 0;\r\nassert(isequal(one(x),y_correct));\r\n\r\n%%\r\nx = '111';\r\ny_correct = 3;\r\nassert(isequal(one(x),y_correct));\r\n\r\n%%\r\nx = '1100101';\r\ny_correct = 4;\r\nassert(isequal(one(x),y_correct));\r\n","published":true,"deleted":false,"likes_count":64,"comments_count":4,"created_by":2974,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":11662,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":14,"created_at":"2012-04-10T19:15:07.000Z","updated_at":"2026-10-29T13:17:40.000Z","published_at":"2012-04-10T19:15:11.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eFind the number of 1s in the given binary string. Example. If the input string is '1100101', the output is 4. If the input string is '0000', the output is 0\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\"}]}"},{"id":641,"title":"Make a random, non-repeating vector.","description":"This is a basic MATLAB operation. It is for instructional purposes.\r\n\r\n---\r\n\r\nIf you want to get a random permutation of integers \u003chttp://www.mathworks.com/help/techdoc/ref/randperm.html randperm\u003e will help.\r\n\r\nGiven n, put the integers [1 2 3... N] in a random order.\r\n\r\nYes, the test suite is not conclusive, but it is pretty close!","description_html":"\u003cp\u003eThis is a basic MATLAB operation. It is for instructional purposes.\u003c/p\u003e\u003cp\u003e---\u003c/p\u003e\u003cp\u003eIf you want to get a random permutation of integers \u003ca href=\"http://www.mathworks.com/help/techdoc/ref/randperm.html\"\u003erandperm\u003c/a\u003e will help.\u003c/p\u003e\u003cp\u003eGiven n, put the integers [1 2 3... N] in a random order.\u003c/p\u003e\u003cp\u003eYes, the test suite is not conclusive, but it is pretty close!\u003c/p\u003e","function_template":"function vec = makeRandomOrdering(n)\r\n  vec = n;\r\nend","test_suite":"%%\r\nn = 10;\r\n\r\nflagSame    = isequal(makeRandomOrdering(n), makeRandomOrdering(n));\r\nflagAllUsed = isequal([1:n],sort(makeRandomOrdering(n)));\r\nassert(~flagSame \u0026 flagAllUsed)","published":true,"deleted":false,"likes_count":49,"comments_count":2,"created_by":240,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":11894,"test_suite_updated_at":"2012-04-30T20:15:56.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-04-30T20:13:04.000Z","updated_at":"2026-10-29T09:41:41.000Z","published_at":"2012-04-30T20:15:56.000Z","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\u003eThis is a basic MATLAB operation. It is for instructional purposes.\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\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\u003eIf you want to get a random permutation of integers\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=\\\"http://www.mathworks.com/help/techdoc/ref/randperm.html\\\"\u003e\u003cw:r\u003e\u003cw:t\u003erandperm\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e will help.\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\u003eGiven n, put the integers [1 2 3... N] in a random order.\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\u003eYes, the test suite is not conclusive, but it is pretty close!\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\"}]}"},{"id":1087,"title":"Magic is simple (for beginners)","description":"Determine for a magic square of order n, the magic sum m. For example m=15 for a magic square of order 3.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 21px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 406.5px 10.5px; transform-origin: 406.5px 10.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 350.075px 7.81667px; transform-origin: 350.075px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eDetermine for a magic square of order n, the magic sum m. For example m=15 for a magic square of order 3.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function m = magic_sum(n)\r\n  m=n;\r\nend","test_suite":"%%\r\nfiletext = fileread('magic_sum.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp');\r\nassert(~illegal)\r\n\r\n%%\r\nn = 3;\r\ny_correct = 15;\r\nassert(isequal(magic_sum(n),y_correct))\r\n%%\r\nn = 5;\r\ny_correct = 65;\r\nassert(isequal(magic_sum(n),y_correct))\r\n%%\r\nn = 7;\r\ny_correct = 175;\r\nassert(isequal(magic_sum(n),y_correct))\r\n%%\r\nn = 8;\r\ny_correct = 260;\r\nassert(isequal(magic_sum(n),y_correct))\r\n%%\r\nn = 20;\r\ny_correct = 4010;\r\nassert(isequal(magic_sum(n),y_correct))\r\n%%\r\nn = 100;\r\ny_correct = 500050;\r\nassert(isequal(magic_sum(n),y_correct))\r\n%%\r\nn = 200;\r\ny_correct = 4000100;\r\nassert(isequal(magic_sum(n),y_correct))\r\n%%\r\nn = 1000;\r\ny_correct = 500000500;\r\nassert(isequal(magic_sum(n),y_correct))\r\n\r\n","published":true,"deleted":false,"likes_count":57,"comments_count":13,"created_by":5390,"edited_by":223089,"edited_at":"2024-06-30T07:10:20.000Z","deleted_by":null,"deleted_at":null,"solvers_count":11839,"test_suite_updated_at":"2024-06-30T07:10:20.000Z","rescore_all_solutions":false,"group_id":18,"created_at":"2012-12-04T00:24:57.000Z","updated_at":"2026-10-29T14:49:58.000Z","published_at":"2012-12-04T00:26:29.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eDetermine for a magic square of order n, the magic sum m. For example m=15 for a magic square of order 3.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":189,"title":"Sum all integers from 1 to 2^n","description":"Given the number x, y must be the summation of all integers from 1 to 2^x. For instance if x=2 then y must be 1+2+3+4=10.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 42px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 21px; transform-origin: 407px 21px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 342.5px 8px; transform-origin: 342.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven the number x, y must be the summation of all integers from 1 to 2^x. For instance if x=2 then y must be 1+2+3+4=10.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = sum_int(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nfiletext = fileread('sum_int.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp');\r\nassert(~illegal)\r\n%%\r\nx = 1;\r\ny_correct = 3;\r\nassert(isequal(sum_int(x),y_correct))\r\n\r\n%%\r\nx = 3;\r\ny_correct = 36;\r\nassert(isequal(sum_int(x),y_correct))\r\n\r\n%%\r\nx = 7;\r\ny_correct = 8256;\r\nassert(isequal(sum_int(x),y_correct))\r\n\r\n%%\r\nx = 10;\r\ny_correct = 524800;\r\nassert(isequal(sum_int(x),y_correct))\r\n\r\n%%\r\nx = 11;\r\ny_correct = 2098176;\r\nassert(isequal(sum_int(x),y_correct))\r\n\r\n%%\r\nx = 14;\r\ny_correct = 134225920;\r\nassert(isequal(sum_int(x),y_correct))\r\n\r\n%%\r\nx = 17;\r\ny_correct = 8590000128;\r\nassert(isequal(sum_int(x),y_correct))","published":true,"deleted":false,"likes_count":98,"comments_count":24,"created_by":431,"edited_by":223089,"edited_at":"2022-11-24T08:12:49.000Z","deleted_by":null,"deleted_at":null,"solvers_count":18209,"test_suite_updated_at":"2022-11-24T08:12:49.000Z","rescore_all_solutions":false,"group_id":27,"created_at":"2012-01-31T00:43:21.000Z","updated_at":"2026-10-29T14:59:18.000Z","published_at":"2012-01-31T00:45:23.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven the number x, y must be the summation of all integers from 1 to 2^x. For instance if x=2 then y must be 1+2+3+4=10.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":247,"title":"Arrange Vector in descending order","description":"If x=[0,3,4,2,1] then y=[4,3,2,1,0]","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 21px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 10.5px; transform-origin: 407px 10.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 102px 8px; transform-origin: 102px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf x=[0,3,4,2,1] then y=[4,3,2,1,0]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = desSort(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = [0,1,2,3,4];\r\ny_correct = [4,3,2,1,0];\r\nassert(isequal(desSort(x),y_correct))\r\n\r\n%%\r\nx = randperm(10);\r\ny_correct = 10:-1:1;\r\nassert(isequal(desSort(x),y_correct))\r\n\r\n%%\r\nx = [13 11 19 7 17];\r\ny_correct = [19 17 13 11 7];\r\nassert(isequal(desSort(x),y_correct))\r\n\r\n%%\r\nx = [5     4     2    12    10     3     7     7     1];\r\ny_correct = [12, 10, 7, 7, 5, 4, 3, 2, 1];\r\nassert(isequal(desSort(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":72,"comments_count":18,"created_by":868,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":14145,"test_suite_updated_at":"2021-07-22T15:14:15.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-02-03T16:06:15.000Z","updated_at":"2026-10-29T15:03:55.000Z","published_at":"2012-02-03T16:08:43.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf x=[0,3,4,2,1] then y=[4,3,2,1,0]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":135,"title":"Inner product of two vectors","description":"Find the inner product of two vectors.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: normal; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"display: block; min-width: 0px; padding-top: 0px; transform-origin: 332px 10.5px; vertical-align: baseline; perspective-origin: 332px 10.5px; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; transform-origin: 309px 10.5px; white-space: pre-wrap; perspective-origin: 309px 10.5px; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; transform-origin: 0px 0px; perspective-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFind the inner product of two vectors.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function z = your_fcn_name(x,y)\r\n  z = x*y;\r\nend","test_suite":"%%\r\nx = 1:3;\r\ny= 3:-1:1;\r\nz_correct = 10;\r\nassert(isequal(your_fcn_name(x,y),z_correct))\r\n\r\n%%\r\nx = 1:6;\r\ny= ones(1,6);\r\nz_correct = 21;\r\nassert(isequal(your_fcn_name(x,y),z_correct))\r\n","published":true,"deleted":false,"likes_count":53,"comments_count":13,"created_by":166,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":12898,"test_suite_updated_at":"2012-01-28T07:46:22.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-01-28T07:46:22.000Z","updated_at":"2026-10-28T12:32:31.000Z","published_at":"2012-01-28T07:46:22.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFind the inner product of two vectors.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":624,"title":"Get the length of a given vector","description":"Given a vector x, the output y should equal the length of x.","description_html":"\u003cp\u003eGiven a vector x, the output y should equal the length of x.\u003c/p\u003e","function_template":"function y = VectorLength(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = [1 2 3];\r\ny_correct = 3;\r\nassert(isequal(VectorLength(x),y_correct))\r\n\r\n%%\r\nx = 1:10;\r\ny_correct = 10;\r\nassert(isequal(VectorLength(x),y_correct))\r\n\r\n%%\r\nx = rand(1,928);\r\ny_correct = 928;\r\nassert(isequal(VectorLength(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":43,"comments_count":10,"created_by":27,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":13850,"test_suite_updated_at":"2012-11-19T23:45:19.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-04-25T21:56:58.000Z","updated_at":"2026-10-29T11:15:19.000Z","published_at":"2012-04-25T21:56:58.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eGiven a vector x, the output y should equal the length of x.\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\"}]}"},{"id":1107,"title":"Find max","description":"Find the maximum value of a given vector or matrix.","description_html":"\u003cp\u003eFind the maximum value of a given vector or matrix.\u003c/p\u003e","function_template":"function y = your_fcn_name(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx =  magic(5);\r\ny_correct = 25;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx =  [2 4 9 0 7 19;3 4 1 2 0 6];\r\ny_correct = 19;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx =  [2 4 9 0 7 19;3 4 1 2 0 6]';\r\ny_correct = 19;\r\nassert(isequal(your_fcn_name(x),y_correct))","published":true,"deleted":false,"likes_count":45,"comments_count":8,"created_by":9099,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":12425,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2012-12-08T02:44:41.000Z","updated_at":"2026-10-29T15:05:55.000Z","published_at":"2012-12-08T02:46:07.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eFind the maximum value of a given vector or matrix.\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\"}]}"},{"id":605,"title":"Whether the input is vector?","description":"Given the input x, return 1 if x is vector or else 0.","description_html":"\u003cp\u003eGiven the input x, return 1 if x is vector or else 0.\u003c/p\u003e","function_template":"function y = checkvector(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = [1 2 3 1];\r\ny_correct = 1;\r\nassert(isequal(checkvector(x),y_correct))\r\n%%\r\nx = [1 2 7; 6 3 1];\r\ny_correct = 0;\r\nassert(isequal(checkvector(x),y_correct))\r\n%%\r\nx = [1;2;0];\r\ny_correct = 1;\r\nassert(isequal(checkvector(x),y_correct))","published":true,"deleted":false,"likes_count":39,"comments_count":7,"created_by":3567,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":11477,"test_suite_updated_at":"2012-04-21T05:47:33.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-04-21T05:44:20.000Z","updated_at":"2026-10-29T15:07:34.000Z","published_at":"2012-04-21T05:45:12.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eGiven the input x, return 1 if x is vector or else 0.\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\"}]}"},{"id":2631,"title":"Flip the vector from right to left","description":"Flip the vector from right to left.\r\nExamples\r\n x=[1:5], then y=[5 4 3 2 1]\r\n\r\n x=[1 4 6], then y=[6 4 1];\r\nRequest not to use direct function.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 153.3px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 406.5px 76.65px; transform-origin: 406.5px 76.65px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 99.9417px 7.81667px; transform-origin: 99.9417px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFlip the vector from right to left.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 32.3833px 7.81667px; transform-origin: 32.3833px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eExamples\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 61.3px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 403.5px 30.65px; transform-origin: 403.5px 30.65px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 109.433px 8.375px; tab-size: 4; transform-origin: 109.433px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 58.625px 8.375px; transform-origin: 58.625px 8.375px; \"\u003e x=[1:5], then \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 50.8083px 8.375px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 50.8083px 8.375px; \"\u003ey=[5 4 3 2 1]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.375px; tab-size: 4; transform-origin: 0px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1.11667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1.11667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1.11667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1.11667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 403.5px 10.2167px; text-wrap-mode: nowrap; transform-origin: 403.5px 10.2167px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 105.525px 8.375px; tab-size: 4; transform-origin: 105.525px 8.375px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 66.4417px 8.375px; transform-origin: 66.4417px 8.375px; \"\u003e x=[1 4 6], then \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 35.175px 8.375px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 35.175px 8.375px; \"\u003ey=[6 4 1]\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 3.90833px 8.375px; transform-origin: 3.90833px 8.375px; \"\u003e;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 111.108px 7.81667px; transform-origin: 111.108px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eRequest not to use direct function.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = flip_vector(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(flip_vector(x),y_correct))\r\n%%\r\nx = [1:5];\r\ny_correct = [5:-1:1];\r\nassert(isequal(flip_vector(x),y_correct))\r\n%%\r\nx = [1 4 6];\r\ny_correct = [6 4 1];\r\nassert(isequal(flip_vector(x),y_correct))\r\n%%\r\nx = [10 5 9 ];\r\ny_correct = [9 5 10];\r\nassert(isequal(flip_vector(x),y_correct))\r\n%%\r\nx = [2 4 6 8];\r\ny_correct = [8 6 4 2];\r\nassert(isequal(flip_vector(x),y_correct))\r\n%%\r\nfiletext = fileread('flip_vector.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp') ...\r\n    || contains(filetext, 'flip(');\r\nassert(~illegal)\r\n","published":true,"deleted":false,"likes_count":55,"comments_count":15,"created_by":27760,"edited_by":223089,"edited_at":"2024-07-01T15:33:12.000Z","deleted_by":null,"deleted_at":null,"solvers_count":11530,"test_suite_updated_at":"2024-07-01T15:33:12.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2014-10-16T14:52:42.000Z","updated_at":"2026-10-29T15:09:33.000Z","published_at":"2014-10-16T14:52:42.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFlip the vector from right to left.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eExamples\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[ x=[1:5], then y=[5 4 3 2 1]\\n\\n x=[1 4 6], then y=[6 4 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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eRequest not to use direct function.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":3076,"title":"Create a vector","description":"Create a vector from 0 to n by intervals of 2.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 21px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 406.5px 10.5px; transform-origin: 406.5px 10.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 10.5px; text-align: left; transform-origin: 383.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 140.142px 7.81667px; transform-origin: 140.142px 7.81667px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eCreate a vector from 0 to n by intervals of 2.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = zeroToNby2(n)\r\n  y = n;\r\nend","test_suite":"%%\r\nfiletext = fileread('zeroToNby2.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp'); \r\nassert(~illegal)\r\n\r\n%%\r\nn = 10;\r\ny_correct = (0:2:n);\r\nassert(isequal(zeroToNby2(n),y_correct))\r\n\r\n%%\r\nn = 102;\r\ny_correct = (0:2:n);\r\nassert(isequal(zeroToNby2(n),y_correct))\r\n\r\n%%\r\nn = 73;\r\ny_correct = (0:2:n);\r\nassert(isequal(zeroToNby2(n),y_correct))","published":true,"deleted":false,"likes_count":35,"comments_count":7,"created_by":33814,"edited_by":223089,"edited_at":"2024-09-24T13:46:22.000Z","deleted_by":null,"deleted_at":null,"solvers_count":12163,"test_suite_updated_at":"2024-09-23T18:35:24.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2015-03-10T19:44:58.000Z","updated_at":"2026-10-29T15:10:29.000Z","published_at":"2015-03-10T19:46:44.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCreate a vector from 0 to n by intervals of 2.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":1024,"title":"Doubling elements in a vector","description":"Given the vector A, return B in which all numbers in A are doubling. So for:\r\n\r\nA = [  1   5   8 ]\r\n\r\nthen\r\n\r\nB = [  1   1   5   5   8  8 ]\r\n","description_html":"\u003cp\u003eGiven the vector A, return B in which all numbers in A are doubling. So for:\u003c/p\u003e\u003cp\u003eA = [  1   5   8 ]\u003c/p\u003e\u003cp\u003ethen\u003c/p\u003e\u003cp\u003eB = [  1   1   5   5   8  8 ]\u003c/p\u003e","function_template":"function B = your_fcn_name(A)\r\n  \r\nend","test_suite":"%%\r\nx = 1;\r\ny_correct = [1 1];\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = [0 -1 1 0 0 0 1 2];\r\ny_correct = [0 0 -1 -1 1 1 0 0 0 0 0 0 1 1 2 2];\r\nassert(isequal(your_fcn_name(x),y_correct))","published":true,"deleted":false,"likes_count":71,"comments_count":13,"created_by":7968,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":10951,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2012-11-03T15:44:34.000Z","updated_at":"2026-10-29T15:16:18.000Z","published_at":"2012-11-03T15:46:26.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eGiven the vector A, return B in which all numbers in A are doubling. So for:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA = [ 1 5 8 ]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ethen\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eB = [ 1 1 5 5 8 8 ]\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\"}]}"},{"id":42651,"title":"Vector creation","description":"Create a vector using square brackets going from 1 to the given value x in steps on 1.\r\nHint: use increment.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 51px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 25.5px; transform-origin: 407px 25.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 270px 8px; transform-origin: 270px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eCreate a vector using square brackets going from 1 to the given value x in steps on 1.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 62.5px 8px; transform-origin: 62.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eHint: use increment.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = vector(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 7;\r\ny_correct = [1 2 3 4 5 6 7];\r\nassert(isequal(vector(x),y_correct))\r\n\r\n%%\r\nx = 9;\r\ny_correct = [1 2 3 4 5 6 7 8 9];\r\nassert(isequal(vector(x),y_correct))\r\n\r\n%%\r\ny = 1:randi(100);\r\nx = randi(max(y));\r\ny_correct = y(1:x);\r\nassert(isequal(vector(x),y_correct))\r\n\r\n%%\r\nx = 0;\r\nassert(isempty(vector(x)))\r\n\r\n%%\r\nx = 2;\r\ny_correct = [1 2];\r\nassert(isequal(vector(x),y_correct))","published":true,"deleted":false,"likes_count":44,"comments_count":6,"created_by":51010,"edited_by":223089,"edited_at":"2023-05-04T13:55:21.000Z","deleted_by":null,"deleted_at":null,"solvers_count":11547,"test_suite_updated_at":"2023-05-04T13:55:21.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2015-10-05T01:40:10.000Z","updated_at":"2026-10-28T10:55:55.000Z","published_at":"2015-10-05T01:40:10.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCreate a vector using square brackets going from 1 to the given value x in steps on 1.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eHint: use increment.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":167,"title":"Pizza!","description":"Given a circular pizza with radius z and thickness a, return the pizza's volume. [ z is first input argument.]\r\nNon-scored bonus question: Why is the function interesting?","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 51px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 25.5px; transform-origin: 407px 25.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 102.5px 8px; transform-origin: 102.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a circular pizza with radius\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3.5px 8px; transform-origin: 3.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ez\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 45.5px 8px; transform-origin: 45.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and thickness\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 88px 8px; transform-origin: 88px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return the pizza's volume. [\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3.5px 8px; transform-origin: 3.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ez\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 74px 8px; transform-origin: 74px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is first input argument.]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 190px 8px; transform-origin: 190px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNon-scored bonus question: Why is the function interesting?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = pizza(z,a)\r\n  y = x;\r\nend","test_suite":"%%\r\nfiletext = fileread('pizza.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp') || ...\r\n          contains(filetext, 'if') || contains(filetext, 'switch'); \r\nassert(~illegal)\r\n\r\n%%\r\nz = 1;\r\na = 1;\r\nv_correct = pi;\r\nassert(isequal(pizza(z,a),v_correct))\r\n\r\n%%\r\nz = 2;\r\na = 1;\r\nv_correct = 4*pi;\r\nassert(isequal(pizza(z,a),v_correct))\r\n\r\n%%\r\nz = 1;\r\na = 2;\r\nv_correct = 2*pi;\r\nassert(isequal(pizza(z,a),v_correct))\r\n\r\n%%\r\nz = 2;\r\na = 2;\r\nv_correct = 8*pi;\r\nassert(isequal(pizza(z,a),v_correct))\r\n","published":true,"deleted":false,"likes_count":378,"comments_count":316,"created_by":39,"edited_by":223089,"edited_at":"2022-12-19T07:41:42.000Z","deleted_by":null,"deleted_at":null,"solvers_count":24322,"test_suite_updated_at":"2022-12-19T07:41:42.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-01-29T16:17:01.000Z","updated_at":"2026-10-29T07:11:49.000Z","published_at":"2012-01-29T16:21:23.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a circular pizza with radius\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ez\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and thickness\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return the pizza's volume. [\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ez\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is first input argument.]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNon-scored bonus question: Why is the function interesting?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":43298,"title":"Calculate area of sector","description":"A=function(r,seta)\r\n\r\nr is radius of sector, seta is angle of sector, and A is its area. Area of sector A is defined as 0.5*(r^2)*seta;","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 51px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 25.5px; transform-origin: 407px 25.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA=function(r,seta)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003er(m) is radius of sector, seta (radian) is angle of sector, and A (m^2) is its area.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = sectorarea(r,seta)\r\n  y =\r\nend","test_suite":"%%\r\nr=1\r\nseta=pi/2\r\ny_correct = 0.7854;\r\nassert(abs(sectorarea(r,seta)-y_correct)\u003c0.001)\r\n\r\n%%\r\nr=2\r\nseta=pi/2\r\ny_correct = pi;\r\nassert(abs(sectorarea(r,seta)-y_correct)\u003c0.001)\r\n\r\n%%\r\nr=sqrt(2);\r\nseta=pi/3\r\ny_correct = pi/3;\r\nassert(abs(sectorarea(r,seta)-y_correct)\u003c0.001)\r\n\r\n%%\r\nr= 6\r\nseta=pi/6;\r\ny_correct = 3*pi;\r\nassert(abs(sectorarea(r,seta)-y_correct)\u003c0.001)\r\n\r\n%%\r\nr= pi\r\nseta= pi\r\ny_correct = 0.5*pi^3;\r\nassert(abs(sectorarea(r,seta)-y_correct)\u003c0.001)\r\n","published":true,"deleted":false,"likes_count":22,"comments_count":6,"created_by":33533,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":3811,"test_suite_updated_at":"2021-02-21T07:46:40.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2016-10-10T09:02:12.000Z","updated_at":"2026-10-28T11:01:49.000Z","published_at":"2016-10-10T09:02:12.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA=function(r,seta)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003er(m) is radius of sector, seta (radian) is angle of sector, and A (m^2) is its area.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":953,"title":"Pi Estimate 1","description":"Estimate Pi as described in the following link:\r\n\u003chttp://www.people.virginia.edu/~teh1m/cody/Pi_estimation1.pdf\u003e\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 81px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 40.5px; transform-origin: 407px 40.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 222.5px 8px; transform-origin: 222.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eEstimate Pi as described by the Leibniz formula (see the following link):\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://en.wikipedia.org/wiki/Leibniz_formula_for_%CF%80\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003ehttps://en.wikipedia.org/wiki/Leibniz_formula_for_%CF%80\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 121px 8px; transform-origin: 121px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eRound the result to six decimal places.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [estimate] = pi_est1(nMax)\r\nestimate = nMax;\r\nend","test_suite":"%%\r\nnMax = 10;\r\ny_correct = 3.041840000000000;\r\nassert(isequal(pi_est1(nMax),y_correct))\r\n%%\r\nnMax = 1000;\r\ny_correct = 3.140593000000000;\r\nassert(isequal(pi_est1(nMax),y_correct))\r\n%%\r\nnMax = 1e6;\r\ny_correct = 3.141592000000000;\r\nassert(isequal(pi_est1(nMax),y_correct))\r\n","published":true,"deleted":false,"likes_count":20,"comments_count":20,"created_by":2640,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":2021,"test_suite_updated_at":"2020-10-03T14:08:03.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-09-20T21:16:13.000Z","updated_at":"2026-10-28T17:18:15.000Z","published_at":"2012-09-20T23:13:59.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEstimate Pi as described by the Leibniz formula (see the following link):\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"https://en.wikipedia.org/wiki/Leibniz_formula_for_%CF%80\\\"\u003e\u003cw:r\u003e\u003cw:t\u003ehttps://en.wikipedia.org/wiki/Leibniz_formula_for_%CF%80\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eRound the result to six decimal places.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":120,"title":"radius of a spherical planet","description":"You just measured its surface area, that is the input.","description_html":"\u003cp\u003eYou just measured its surface area, that is the input.\u003c/p\u003e","function_template":"function y = your_fcn_name(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 4*pi;\r\ny_correct = 1;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 400*pi;\r\ny_correct = 10;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 40000*pi;\r\ny_correct = 100;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nx = -4*pi;\r\ny_correct = 1i;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":19,"comments_count":9,"created_by":166,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":4635,"test_suite_updated_at":"2012-02-15T16:29:15.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-01-27T21:02:01.000Z","updated_at":"2026-10-28T17:20:41.000Z","published_at":"2012-02-15T16:45:42.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eYou just measured its surface area, that is the input.\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\"}]}"},{"id":44309,"title":"Pi Digit Probability","description":"Assume that the next digit of pi constant is determined by the historical digit distribution. What is the probability of next digit (N) being (n). \r\n\r\nFor example if we consider the first 100 digits of pi, we will see that the digit '3' is occured 12 times. So the probability of the being '3' the 101th digit will be 12/100 = 0.12.\r\n\r\nRound the results to four decimals.","description_html":"\u003cp\u003eAssume that the next digit of pi constant is determined by the historical digit distribution. What is the probability of next digit (N) being (n).\u003c/p\u003e\u003cp\u003eFor example if we consider the first 100 digits of pi, we will see that the digit '3' is occured 12 times. So the probability of the being '3' the 101th digit will be 12/100 = 0.12.\u003c/p\u003e\u003cp\u003eRound the results to four decimals.\u003c/p\u003e","function_template":"function y = pidigit(N,n)\r\n  y = x;\r\nend","test_suite":"%%\r\nN = 101;\r\nn = 3;\r\ny_correct = 0.1200;\r\nassert(abs(pidigit(N,n)-y_correct)\u003c0.0001)\r\nassert(~any(cellfun(@(x)ismember(max([0,str2num(x)]),[101,201,202,203,1001]),regexp(fileread('pidigit.m'),'[\\d\\.\\+\\-\\*\\/]+','match')))) % modified from the comment of Alfonso on https://www.mathworks.com/matlabcentral/cody/problems/44343\r\n\r\n%%\r\nN = 201;\r\nn = 6;\r\ny_correct = 0.0750;\r\nassert(abs(pidigit(N,n)-y_correct)\u003c0.0001)\r\nassert(~any(cellfun(@(x)ismember(max([0,str2num(x)]),[101,201,202,203,1001]),regexp(fileread('pidigit.m'),'[\\d\\.\\+\\-\\*\\/]+','match'))))\r\n\r\n%%\r\nN = 202;\r\nn = 6;\r\ny_correct = 0.0796;\r\nassert(abs(pidigit(N,n)-y_correct)\u003c0.0001)\r\nassert(~any(cellfun(@(x)ismember(max([0,str2num(x)]),[101,201,202,203,1001]),regexp(fileread('pidigit.m'),'[\\d\\.\\+\\-\\*\\/]+','match'))))\r\n\r\n%%\r\nN = 203;\r\nn = 6;\r\ny_correct = 0.0792;\r\nassert(abs(pidigit(N,n)-y_correct)\u003c0.0001)\r\nassert(~any(cellfun(@(x)ismember(max([0,str2num(x)]),[101,201,202,203,1001]),regexp(fileread('pidigit.m'),'[\\d\\.\\+\\-\\*\\/]+','match'))))\r\n\r\n%%\r\nN = 1001;\r\nn = 9;\r\ny_correct = 0.1050;\r\nassert(abs(pidigit(N,n)-y_correct)\u003c0.0001)\r\nassert(~any(cellfun(@(x)ismember(max([0,str2num(x)]),[101,201,202,203,1001]),regexp(fileread('pidigit.m'),'[\\d\\.\\+\\-\\*\\/]+','match'))))\r\n","published":true,"deleted":false,"likes_count":18,"comments_count":27,"created_by":8703,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":911,"test_suite_updated_at":"2017-10-21T07:59:48.000Z","rescore_all_solutions":false,"group_id":34,"created_at":"2017-09-11T06:41:07.000Z","updated_at":"2026-10-28T17:44:15.000Z","published_at":"2017-10-16T01:45:06.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eAssume that the next digit of pi constant is determined by the historical digit distribution. What is the probability of next digit (N) being (n).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example if we consider the first 100 digits of pi, we will see that the digit '3' is occured 12 times. So the probability of the being '3' the 101th digit will be 12/100 = 0.12.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eRound the results to four decimals.\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\"}]}"},{"id":2908,"title":"Approximation of Pi","description":"Pi (divided by 4) can be approximated by the following infinite series:\r\npi/4 = 1 - 1/3 + 1/5 - 1/7 + ...\r\nFor a given number of terms (n), return the difference between the actual value of pi and this approximation of the constant.\r\nAlso, try Problem 2909, a slightly harder variant of this problem.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 132px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 66px; transform-origin: 407px 66px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 215px 8px; transform-origin: 215px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ePi (divided by 4) can be approximated by the following infinite series:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 88.5px 8px; transform-origin: 88.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003epi/4 = 1 - 1/3 + 1/5 - 1/7 + ...\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 360px 8px; transform-origin: 360px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor a given number of terms (n), return the difference between the actual value of pi and this approximation of the constant.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 25.5px 8px; transform-origin: 25.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAlso, try\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://www.mathworks.com/matlabcentral/cody/problems/2909-approximation-of-pi-vector-inputs\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eProblem 2909\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 128.5px 8px; transform-origin: 128.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, a slightly harder variant of this problem.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = pi_approx(n)\r\n y = n;\r\nend","test_suite":"%%\r\nn = 1;\r\ny_correct = -0.858407346410207;\r\nassert(abs(pi_approx(n)-y_correct)\u003c(100*eps))\r\n\r\n%%\r\nn = 2;\r\ny_correct = 0.474925986923126;\r\nassert(abs(pi_approx(n)-y_correct)\u003c(100*eps)) \r\n\r\n%%\r\nn = 4;\r\ny_correct = 0.246354558351698;\r\nassert(abs(pi_approx(n)-y_correct)\u003c(100*eps))\r\n\r\n%%\r\nn = 7;\r\ny_correct = -0.142145830148691;\r\nassert(abs(pi_approx(n)-y_correct)\u003c(100*eps))\r\n\r\n%%\r\nn = 10;\r\ny_correct = 0.099753034660390;\r\nassert(abs(pi_approx(n)-y_correct)\u003c(100*eps))\r\n\r\n%%\r\nn = 14;\r\ny_correct = 0.071338035810608;\r\nassert(abs(pi_approx(n)-y_correct)\u003c(100*eps))\r\n\r\n%%\r\nn = 17;\r\ny_correct = -0.058772861819756;\r\nassert(abs(pi_approx(n)-y_correct)\u003c(100*eps))\r\n\r\n%%\r\nn = 20;\r\ny_correct = 0.049968846921953;\r\nassert(abs(pi_approx(n)-y_correct)\u003c(100*eps))\r\n\r\n%%\r\nn = 25;\r\ny_correct = -0.039984031845239;\r\nassert(abs(pi_approx(n)-y_correct)\u003c(100*eps))\r\n\r\n%%\r\nn = 42;\r\ny_correct = 0.023806151830915;\r\nassert(abs(pi_approx(n)-y_correct)\u003c(100*eps))\r\n","published":true,"deleted":false,"likes_count":18,"comments_count":3,"created_by":26769,"edited_by":223089,"edited_at":"2022-09-05T17:21:56.000Z","deleted_by":null,"deleted_at":null,"solvers_count":1562,"test_suite_updated_at":"2022-09-05T17:21:56.000Z","rescore_all_solutions":false,"group_id":29,"created_at":"2015-02-01T03:29:10.000Z","updated_at":"2026-10-28T12:35:28.000Z","published_at":"2015-02-01T03:29:10.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ePi (divided by 4) can be approximated by the following infinite series:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003epi/4 = 1 - 1/3 + 1/5 - 1/7 + ...\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor a given number of terms (n), return the difference between the actual value of pi and this approximation of the constant.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAlso, try\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/2909-approximation-of-pi-vector-inputs\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eProblem 2909\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e, a slightly harder variant of this problem.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":44273,"title":"Given a square and a circle, please decide whether the square covers more area.","description":"You know the side of a square and the diameter of a circle, please decide whether the square covers more area.","description_html":"\u003cp\u003eYou know the side of a square and the diameter of a circle, please decide whether the square covers more area.\u003c/p\u003e","function_template":"function y = sqci(sq,ci)\r\n  y = (sq\u003eci);\r\nend","test_suite":"%%\r\nsq = 2;\r\nci = 1;\r\ny_correct = (sq\u003eci);\r\nassert(isequal(sqci(sq,ci),y_correct))\r\n\r\n%%\r\nsq = rand;\r\nci = rand;\r\ny_correct = (4*sq^2\u003epi*ci^2);\r\nassert(isequal(sqci(sq,ci),y_correct))\r\n\r\n%%\r\nsq = 0;\r\nci = 0;\r\ny_correct = (0\u003e0);\r\nassert(isequal(sqci(sq,ci),y_correct))\r\n\r\n%%\r\nsq = 100;\r\nci = 4;\r\ny_correct = (7\u003e3);\r\nassert(isequal(sqci(sq,ci),y_correct))\r\n\r\n%%\r\nsq = 21;\r\nci = 127;\r\ny_correct = (3\u003e7);\r\nassert(isequal(sqci(sq,ci),y_correct))\r\n","published":true,"deleted":false,"likes_count":8,"comments_count":3,"created_by":166,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":1912,"test_suite_updated_at":"2017-08-06T18:26:25.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2017-08-02T14:15:00.000Z","updated_at":"2026-10-27T11:14:05.000Z","published_at":"2017-08-02T14:15:06.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eYou know the side of a square and the diameter of a circle, please decide whether the square covers more area.\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\"}]}"},{"id":44660,"title":"Perimeter of a semicircle","description":"Given the diameter d, find the perimeter of a semicircle","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 21px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 10.5px; transform-origin: 407px 10.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 172.5px 8px; transform-origin: 172.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven the diameter d, find the perimeter of a semicircle\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = perm_semicircle(d)\r\n  d\r\nend","test_suite":"%%\r\nd = 20;\r\ny_correct = 51.4159265358979;\r\nassert(abs(perm_semicircle(d) - y_correct) \u003c 1e-10)\r\n\r\n%%\r\nd = 42;\r\ny_correct = 107.973445725386;\r\nassert(abs(perm_semicircle(d) - y_correct) \u003c 1e-10)\r\n\r\n%%\r\nd = 50;\r\ny_correct = 128.539816339745;\r\nassert(abs(perm_semicircle(d) - y_correct) \u003c 1e-10)\r\n\r\n%%\r\nd = 100;\r\ny_correct = 257.07963267949;\r\nassert(abs(perm_semicircle(d) - y_correct) \u003c 1e-10)\r\n\r\n%%\r\nd = 135;\r\ny_correct = 347.057504117311;\r\nassert(abs(perm_semicircle(d) - y_correct) \u003c 1e-10)","published":true,"deleted":false,"likes_count":10,"comments_count":3,"created_by":171559,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":2379,"test_suite_updated_at":"2021-08-03T16:46:04.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2018-05-29T14:09:07.000Z","updated_at":"2026-10-28T00:22:01.000Z","published_at":"2018-05-29T14:09:07.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven the diameter d, find the perimeter of a semicircle\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":43215,"title":"Convert radians to degrees","description":"Given input in radians, output to degrees","description_html":"\u003cp\u003eGiven input in radians, output to degrees\u003c/p\u003e","function_template":"function y = RAD2DEG(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = pi;\r\ny_correct = 180;\r\nassert(abs(RAD2DEG(x)-y_correct)\u003c0.01)\r\n%%\r\nx = -pi;\r\ny_correct = -180;\r\nassert(abs(RAD2DEG(x)-y_correct)\u003c0.01)\r\n%%\r\nx = pi/2;\r\ny_correct = 90;\r\nassert(abs(RAD2DEG(x)-y_correct)\u003c0.01)\r\n%%\r\nx = pi/4;\r\ny_correct = 45;\r\nassert(abs(RAD2DEG(x)-y_correct)\u003c0.01)\r\n","published":true,"deleted":false,"likes_count":18,"comments_count":0,"created_by":13865,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":2762,"test_suite_updated_at":"2016-10-29T16:53:32.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2016-10-08T10:09:08.000Z","updated_at":"2026-10-28T10:44:11.000Z","published_at":"2016-10-08T10:09:08.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eGiven input in radians, output to degrees\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\"}]}"},{"id":44060,"title":"Volume Pillar","description":"Calculate the volume of a pillar with radius l and heigth ar.","description_html":"\u003cp\u003eCalculate the volume of a pillar with radius l and heigth ar.\u003c/p\u003e","function_template":"function y = Pillar_Size(l,ar)\r\n  y = x;\r\nend","test_suite":"%%\r\nl = 1;\r\nar = 2;\r\ny_correct = pi*2;\r\nassert(isequal(Pillar_Size(l,ar),y_correct))\r\n\r\n%%\r\nl = 12;\r\nar = 25;\r\ny_correct = pi*3600;\r\nassert(isequal(Pillar_Size(l,ar),y_correct))\r\n\r\n%%\r\nl = 6;\r\nar = 2;\r\ny_correct = pi*72;\r\nassert(isequal(Pillar_Size(l,ar),y_correct))","published":true,"deleted":false,"likes_count":15,"comments_count":1,"created_by":99516,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":2299,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2017-02-06T15:36:59.000Z","updated_at":"2026-10-28T14:55:10.000Z","published_at":"2017-02-06T15:36:59.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eCalculate the volume of a pillar with radius l and heigth ar.\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\"}]}"},{"id":55220,"title":"Matrix Quadrants","description":"Write a function that takes N as the input, and outputs a matrix whose upper-left (NxN) quadrant contains all ones, the lower-right (NxN) quadrant contains all N's, and zeros everywhere else. For example, if N = 3: \r\n\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 363px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 181.5px; transform-origin: 407px 181.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e as the input, and outputs a matrix whose upper-left (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eNxN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e) quadrant contains all ones, the lower-right (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eNxN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e) quadrant contains all \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e's, and zeros everywhere else. For example, if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN = 3\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e: \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 282px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 141px; text-align: left; transform-origin: 384px 141px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"321\" height=\"276\" style=\"vertical-align: baseline;width: 321px;height: 276px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: center; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function M = foursquare(N)\r\n  M = N;\r\nend","test_suite":"%%\r\ny = [1 1 0 0; 1 1 0 0; 0 0 2 2; 0 0 2 2];\r\nassert(isequal(foursquare(2),y))\r\n%%\r\ny = [1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5];\r\nassert(isequal(foursquare(5),y))\r\n%%\r\nfor k = 1:5\r\n    n = randi([3 20]);\r\n    y = foursquare(n);\r\n    assert( isequal(size(y),2*n*[1 1]) )\r\n    assert( isequal(y,y') )\r\n    assert( isequal(sum(y,1),[n*ones(1,n) n*n*ones(1,n)]) )\r\nend","published":true,"deleted":false,"likes_count":18,"comments_count":5,"created_by":140016,"edited_by":140016,"edited_at":"2022-10-03T14:08:22.000Z","deleted_by":null,"deleted_at":null,"solvers_count":953,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:24:20.000Z","updated_at":"2026-10-28T12:11:59.000Z","published_at":"2022-10-03T14:08:22.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e as the input, and outputs a matrix whose upper-left (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNxN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) quadrant contains all ones, the lower-right (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNxN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) quadrant contains all \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e's, and zeros everywhere else. For example, if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN = 3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e: \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"276\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"321\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\u003cw:jc w:val=\\\"center\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55230,"title":"Find Closest Constant","description":"Given a number x, return the value that is closest to x from this list of constants: 0, 1, , e, ,  (also known as ).\r\nFor example:\r\nc = closestconst(1.5)\r\nc =\r\n    1.4142\r\nc = closestconst(2.5)\r\nc =\r\n    2.7183\r\nc = closestconst(50)\r\nc =\r\n    6.2832\r\nc = closestconst(-10)\r\nc =\r\n     0     \r\nIf x is equally close to two values (eg ), you can return either value (so either 1 or  would be correct in this example).","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 374.2px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 187.1px; transform-origin: 407px 187.1px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 267.5px 8px; transform-origin: 267.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a number x, return the value that is closest to x from this list of constants: 0, 1, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 23px; height: 20px;\" width=\"23\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ee\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: \u0026quot;STIXGeneral\u0026quot;, \u0026quot;STIXGeneral-webfont\u0026quot;, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003eπ\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 19.5px; height: 18px;\" width=\"19.5\" height=\"18\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 51px 8px; transform-origin: 51px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (also known as \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: \u0026quot;STIXGeneral\u0026quot;, \u0026quot;STIXGeneral-webfont\u0026quot;, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003eτ\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4.5px 8px; transform-origin: 4.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 245.2px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 122.6px; transform-origin: 404px 122.6px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 84px 8.5px; tab-size: 4; transform-origin: 84px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(1.5)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    1.4142\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 84px 8.5px; tab-size: 4; transform-origin: 84px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(2.5)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    2.7183\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 80px 8.5px; tab-size: 4; transform-origin: 80px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(50)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    6.2832\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 84px 8.5px; tab-size: 4; transform-origin: 84px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(-10)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     0     \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 58px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 29px; text-align: left; transform-origin: 384px 29px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 116px 8px; transform-origin: 116px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf x is equally close to two values (eg \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-15px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 73.5px; height: 37px;\" width=\"73.5\" height=\"37\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 140px 8px; transform-origin: 140px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e), you can return either value (so either 1 or \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAC4AAAAoCAYAAACB4MgqAAACwUlEQVRYR+2YP0tcQRTFd3tttDKFCcRCQTAgxlQWKUxpIWgQkXSJhViIgiFYWCgo1klEG7ExkCKNoEWKQEKCH8AUWtholYiQD5BzZO4yuztv/u28Bw924LDrvpl5vzlz77z7rFZK2qol5a4UDf4RRt1BK60aViT4Y8BeQC+g0zKBHwH2ITTaAnTN6KIc7wLsH+X2SZnAtwA7Bj1rAbpuaBGO0+0raDJFbAt9EeDJ3SZ83uDi9jLu9SFVmBQBTrdnoQcpofMG93X7DUBeacfkP3z/Ab2DzrIWnGeorOKmCxa3ubBjx7n+Etd5/je1PMGvcbd1S2zz8T+j4PcV2bBabI9G+tTkfF7g3P41i9sjuPYVykpaPqTGFfwnfE43Wp4XuMtt2f4mIAUodQ3/vDEZ4APOSW6hv1mJ0vA73d6GOi39z3FtzhQC2hj26YeYrE1zucDpyB70HvItRen2YUD/rPX9xAUWZL+hgZBQYfIMqcFcNSs7l+vitk9f1waK47vo+NoXnNCfoUuINTTbPOR6+qVyW6pJGvbcFFKuUCEwE2kKMiaJ5gRPAS42hdvcOYan0W3e0wdcz3Cb64zJb5BvLthChTvHNggZw9MHnBNIovzCd1NNndJtqW8mTCEiq/UFJ5i8uZjeGbkw1txZ57LNXf2aGOCsJn3BOblkOV90CS9NFtWHH5jMsY1P0y+QrUyozR0CLgnDwTpkCreDoAkQAs7+TBoWQFI/pHDbB5rHY12ShoKzVN1Q+9WNTx5ZbLGxTaDv0AG0aYkx5tcOVPt/TCi4vBx0KNd5vsfGtkCTd9ECvYRrvVDdYz8UnPPzuGLWsxlLTguEXBJoFlE+7W3jjsSA6w8kY5HvQSInlEfX++rwCVR3YsWA82asZR5B+rHoA5GsTyx4MoDYidrgsc7Fjms7Hutc7Li247HOxY4rreP/ASebhCmKaHxVAAAAAElFTkSuQmCC\" style=\"width: 23px; height: 20px;\" width=\"23\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 76.5px 8px; transform-origin: 76.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e would be correct in this example).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function cc = closestconst(x)\r\ncc = x;\r\nend","test_suite":"%%\r\nassert( closestconst(-rand) == 0 )\r\n%%\r\nc = closestconst(8 + rand);\r\nassert( abs(c - 2*pi) \u003c 1e-14 )\r\n%%\r\nc = closestconst(2.5);\r\nassert( abs(c - exp(1)) \u003c 1e-14 )\r\n%%\r\nc = closestconst(0.5);\r\nassert( (c == 0) || (c == 1) )\r\n%%\r\nc = closestconst(2.75);\r\nassert( abs(c - exp(1)) \u003c 1e-14 )\r\n%\r\nc = closestconst(3.6997);\r\nassert( abs(c - pi) \u003c 1e-14 )\r\n%%\r\nc = closestconst(1.1597);\r\nassert( c == 1 )\r\n%%\r\nc = closestconst(0.4597);\r\nassert( c == 0 )\r\n%%\r\nc = closestconst(1.8408);\r\nassert( abs(c - sqrt(2)) \u003c 1e-14 )","published":true,"deleted":false,"likes_count":9,"comments_count":1,"created_by":140016,"edited_by":223089,"edited_at":"2023-02-03T17:56:11.000Z","deleted_by":null,"deleted_at":null,"solvers_count":727,"test_suite_updated_at":"2023-02-03T17:56:11.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:36:50.000Z","updated_at":"2026-10-28T11:41:40.000Z","published_at":"2022-10-03T14:09:13.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a number x, return the value that is closest to x from this list of constants: 0, 1, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\sqrt{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ee\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\pi\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e2\\\\pi\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e (also known as \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\tau\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example:\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[c = closestconst(1.5)\\nc =\\n    1.4142\\nc = closestconst(2.5)\\nc =\\n    2.7183\\nc = closestconst(50)\\nc =\\n    6.2832\\nc = closestconst(-10)\\nc =\\n     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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf x is equally close to two values (eg \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ex = \\\\frac{1+\\\\sqrt{2}}{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e), you can return either value (so either 1 or \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\sqrt{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e would be correct in this example).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55240,"title":"Calculate the mean of each half of a matrix","description":"Given a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.\r\nFor example\r\n\r\nA = [3 4 4 3;\r\n    1 2 5 3;\r\n    1 1 4 5];\r\nm = halfmeans(A)\r\n\r\nm =\r\n    2     4\r\n(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 559.533px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 279.767px; transform-origin: 407px 279.767px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 39px 8px; transform-origin: 39px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 294.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 147.25px; text-align: left; transform-origin: 384px 147.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 400px;height: 289px\" src=\"data:image/png;base64,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\" alt=\"A 3-by-4 matrix. The first two columns are blue, the second two are orange. The mean of the 6 blue elements is calculated. The mean of the 6 orange elements is calculated. The result is a 2-element row vector containing these two means.\" data-image-state=\"image-loaded\" width=\"400\" height=\"289\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 143.033px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 71.5167px; transform-origin: 404px 71.5167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eA = [3 4 4 3;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 48px 8.5px; tab-size: 4; transform-origin: 48px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    1 2 5 3;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    1 1 4 5];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 64px 8.5px; tab-size: 4; transform-origin: 64px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em = halfmeans(A)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    2     4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 164px 8px; transform-origin: 164px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function m = halfmeans(A)\r\nm = A;\r\nend","test_suite":"    %%\r\n    A = [6 8 8 8 7 7 3 5;4 2 1 1 1 4 2 5;1 7 4 7 4 8 2 2;2 5 1 7 3 2 7 7];\r\n    m = halfmeans(A);\r\n    assert( max(abs(m - [4.5,4.3125])) \u003c 1e-14 )\r\n    %%\r\n    A = [3 7 1 1];\r\n    m = halfmeans(A);\r\n    assert( isequal(m,[5,1]) )\r\n    %%\r\n    A = [3 1;3 6;6 4;2 7;6 6];\r\n    m = halfmeans(A);\r\n    assert( max(abs(m - [4,4.8])) \u003c 1e-14 )\r\n    %%\r\n    A = [3 4 5 2 6 7 6 2 4 4;6 8 2 8 1 6 7 2 5 1;2 5 2 6 1 2 4 4 4 8;1 5 8 5 5 6 4 7 6 2;6 7 1 4 1 5 7 7 6 1;5 7 4 1 7 8 1 1 3 3];\r\n    m = halfmeans(A);\r\n    assert( max(abs(m - [4.266666666666667,4.433333333333334])) \u003c 1e-14 )","published":true,"deleted":false,"likes_count":6,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-03T14:11:33.000Z","deleted_by":null,"deleted_at":null,"solvers_count":745,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:46:56.000Z","updated_at":"2026-10-28T12:31:47.000Z","published_at":"2022-10-03T14:11:33.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"289\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"400\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A 3-by-4 matrix. The first two columns are blue, the second two are orange. The mean of the 6 blue elements is calculated. The mean of the 6 orange elements is calculated. The result is a 2-element row vector containing these two means.\\\"/\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=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[A = [3 4 4 3;\\n    1 2 5 3;\\n    1 1 4 5];\\nm = halfmeans(A)\\n\\nm =\\n    2     4]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABkAAAASDCAMAAAAWMQOmAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAADkUExURf///wAAAABLhwICAwIDAwMCAgMDAgMDAwMDBAQEAzA7QzI+RzY2NjdETjlzojpHUkE9OENTX0VAO0dHR0laZ0tLS0xHQU9KRFhtfV1WTl1WT2F3iWRdVWd/km1tbW2Hm26Hm3BwcHGLoHGbvHV1dXaRp3iUqnpxZ3+dtISiuoV8cYmJiYmpwoqKioqqw46EeZSUlJeMgJeXl5yRhZ3C36KXiqWajaenp6fO7anC163V9a+klbCklrTe/7apm72wob6xocLCwsPDw9eIJNnKud+gUebXxOe3eu7ey/DRq/jn0////23rWgUAAAABdFJOU/4a4wd9AAAACXBIWXMAADLAAAAywAEoZFrbAABU+UlEQVR4Xu3deYPjyJa/9ekfOwUF1GUvGJZmrQvFsNPA8Cvu0DR15/2/H2TphNYIWTpxlA59/Xz+6bRsy2E7dZ60nZX9N/8IAIADAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQQf9K5z9rHYuMcptF2rcnhBAQPX/3C9Cgv7VvUOggIHoICJpEQPQQED0EBE0iIHoIiB4CgiYRED0ERM///ThY/9P/vW3/9W0W+T/+f237v26zyP/VvkGhg4Do6QPyn/992/6b2yzyf/5r2/7pbRZJQPQQED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED2xAfn+/eunxw5/+fTpq22KcF1AbLV2qsp1AfnSL/KLnaoSG5AfP77Z2r58s00RCIgoAqInMiDfh3GcxDXksoB87xfaeEB+9GtsLyA/hngkcQ0hIKIIiJ64gKzy8RCVkKsCYv1oOyDWj9YCssrHQ1RCCIgoAqInLCBfHzvaCBnNlwUkJa/pgKRB3VZAvvVrWgtZIwFRRUD0RAVk+/LDfLcL1LgoIOkFSNMBSS9A2grI9uWH+WEXqEFARBEQPUEBKfYjpCDXBGTsR8sBGfvRVECK/QgpCAERRUD0xARkmsW/fO2DYb+M9RAwna8JSOgSrwrINKobCshUtV++9cGwX8Z6CFgmARFFQPSEBGTqx+zlxjif68fzJQGZfWjTbkBmHzW0E5CpH7OXG2NC6tdJQEQRED0hAUmtWA7iMSvVb2JdEZDZi6Z2AzL7Ub+hgKRWLFc0rrX6TSwCIoqA6IkIyDiL7XSSfsavns9XBKRfmWk2IP3qTDMBGUthp5P0aql6oQREFAHRExGQ9AJk80ojnWEn3S4IyPQBSKfVgCw+q24mIGlVm1ca6Qw76UZARBEQPQEBSS9Atv9qsHzOOfEBmb+B1WxA5m9gtROQtKrtvxosn3MOARFFQPQEBCS9U5X5qMN+zq8d0PEB6ZfVLcz+Y1urxAekX1tXDvuPba0SEJD0TlXmo46glRIQUQRET0BAHnt4sJNzrQbE1pX++kqbAbFxnP5mSCsB6RfTsZNzBAR7CIieuIDk3qdKL07spFd0QOwNrK9RgetFB8TeEPoWNZZ7cQHJvU+VXpzYSS8CIoqA6AkISPpx3k7OtRkQ60eXjYYDYv3ostFYQNILIzs5R0Cwh4DoCQhIN5G/fv2UjUSbAZmK13BApjndWEC6tn379iUbCQKCPQRET0hAioIGdGxArGqPt9zaDYjN4scbRc0FpChopQREFAHRc21AHjvvNPVrvNMbWA0HZHoD604B6dfJr/GigIDouTQgO7/ge0poQPoV2ZqaDUi/LPug4TYB2fkF31MIiCgCoufKgIz/Ws9Ou0UGxKI2NK3VgNgoHibxXQKS/h1h7UcgBEQVAdFzZUBsPFe/gxUZkPkbWM0GZP4G1n0CYuusfgeLgKgiIHquC8j4+qN+PAcGpF/R+Jqo0YD0ixp/kr9HQMbXH/XrJCCiCIieqwKS/pF3p/YTkMiA2KrSktoMiBUjfZRwh4Ckfy7fqf0EhIDIIiB6rgjI9+/p0/OH+n7EBWT5BlajAVm+gdV+QH78SJ+eP9T3g4CoIiB6wgPy2N9cQD/CApLeVbOTbQYkvRdkJxsPSL+0mYB+EBBVBETPxQGp/vy8FxWQ1RtYbQZk9QbWrQJS/fl5j4CIIiB6ogMyfnTeC5nMYQGxtc2i1mBA7AXIbBS3HJDxo/NeyBIJiCwCoufagHSzuZ23sDZvYLUYkM0bWHcKSLdI3sJCEQHRc3VAQqZzTEA2b2C1GJDNG1j3CkjIMgmIKAKiJzog89+/MvUvQkICMvsbiqPmAjL7G4qjlgMy//0rU/8ihICIIiB6wgPy9Xvfi682m3u1BYkIiL00WraitYDYD/TLVjQdkG8/+l58s0X2agtCQEQRED3RAZmZXozUDuiIgPQLWbestYD0q1lP4JYDMjO9GKldKQERRUD0XBiQ2b9Gr5zQAQGxpax+rbixgFgqVr8Me5OAzP41euVSCYgoAqLnyoCMA7r2Taz6gGTfwGotINk3sO4TkHGltW9iERBRBETPtQEZ/1lh3YiuD0i/iG3H2gpIv5bt9L1PQMZ/Vli3VgIiioDouTgg4+cgdtqnOiAWis3roKYCYqHY/PR+o4CMn4PYaR8CIoqA6Lk4IOObWFV/06Q2IIU3sNoKSOENrFsFZHwTq+pvmhAQUQREz9UBSS9BXhmQ9I8btx/ENBSQ9E/yth8f3Ckg6SUIAcEWAdFzdUDSpw9VM7oyIJl/3JhXv0j/bM78k7y8qpBcHZD0KUj9IgmIHgKih4DMEJBq/RIJCHIIiJ7LAxLxLhEBmWk7IBHvtxEQUQREz0cFpOrXsAjIzC0CUvVrWAREFAHRExCQ79+/fv1U/JT8sf8Or0CeuE1Afvz49u1L8VPyfom8AkEOAdFTH5DHDjql4fvk7EMIyMyLA9KvobyKJ2cfQkBEERA99QHZ/5Aj/QrtK3+N9+unkn5pHTtZ9QdXagPypaRfYcdOVv2ZkPqA7H/IkX4ZmV/jxRYB0RMWkMKHHC0EpCziE/6kMiBlbf07kP0POQgIygiInvqApDeI8olIean/4Z6ABKgPSHqrLZ+IlJf6l0kERA8B0RPwIfpjDw92ciG9AHnx38IqISDn9Yvp2MmF9AKEv4WFDAKiJyAg6UVG7iXI3nnHEZBOKwFJLzJyL0H2zjuOgIgiIHoCAjL+ktP2barxLDvtREA6rQRk/HWx7dtU41l22omAiCIgegICMr7M2Mzh8Q2suhcgBOShlYCMLzM2CxrfwKp7AUJAVBEQPREBGTuxGsQpLNUDmoB0mgnI2InVilJYqldKQEQRED0RAZlKMX+pMf0f0et+BatDQDrNBGQqxfylxvR/RK/7FawOARFFQPSEBGRWkE9f+1p8n//r79p+EJCHdgIyK8iXb30tfsz/HX1tPwiIKgKiJyYgs4JsVfeDgDw0FJBZQbaq+0FAVBEQPUEB2SlIfT8IyENLAdkpSH0/CIgqAqInKiClgsTNZgISICogpYLELZKA6CEgesICMv/QfBLw8qNDQDptBWT+ofkk4OVHh4CIIiB64gLy+Ku3j51Nhs/TAxCQTmMBefz94H5do+Hz9AAERBQB0RMZkM7Xr/Y30u23sWJcFpBIlwUkUmRAOt++2V+bt9/GikFARBEQPcEBuQYBiRIckGsQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQRETx+Q/+h/a9t/9Vjkf2wnWtUv8r//f9v2f95hkf/HY5EERA8B0fN3j4MVaM3f2jcodBAQPQQETSIgegiIHgKCJhEQPQREDwFBkwiIHgKip/8Q/V/7d9v2b9xmkf/Of9m2f/8Oi/z3HovkQ3Q9BEQPv8YbhV/jjcKv8YoiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHquCsjXx36/2olawQH5/vXTp8cef/n06WvUEt8yID9+fPvy2OEvX758s00RCIgoAqLnooB8f+y2yYB879M28ylolWEB6VdVUjmoIwPyY4hHEtcQAiKKgOi5KCDDT/jtBWQI28qn73ZulaiA/OjXVNJMQFb5eIhKCAERRUD0XBMQ+ym/uYAMXdv6ZOfXiArIt35FJa0EJL/KL3ZuHQIiioDouSQg6ef81gJS6kdIQd4qINuXH+aHXaAGARFFQPRcEZDxfaLGAlLuR0RBogLSL6eojYAU+xFSEAIiioDouSAg0+cMbQVk1o+v3/uPPb7OPlCvLsgbBWT2Mc23Phj2y1gPAe9iERBRBERPfEBmn1M3FZApFvPPzKettQUJCsj+Z+hNBGRa4uzlxpiQ+oIQEFEERE94QOa/59RSQMZ1rUMxvjCx015BAbGPQGI+jt4ICUhqxXKNY1aq38QiIKIIiJ7ogCz+lUVLAUkL277QSAWpfAkSG5DKVxolEQEZS2Gnk/Tpf3X7CIgoAqInNiDfl59TtxSQfkEdOzkzvjax005BAelXEvPbTBkRAUkvQDZLTGfYSTcCIoqA6AkNyPztq4eGApJegOT+zWA6r2657xKQ9AJk+xqpfM45BEQUAdETGJDVy49OQwFJa7OTS3Ze3XtYMQFJQ9hORgsISHqnKpM4ewlS+x4WARFFQPTEBWT26Uea1g0FpF9PaUW7dTkqNCAXfQQSEZB+fR07OUdAsIeA6IkKyPzD80/74/q8+oCkN9fyf/UqLd5O+sQE5NrP0AMDklthenFiJ70IiCgCoicoIPN+dEPavmonIPuJ2M/LQTEBsR/iL/oIJCIgOyskINhDQPSEB6T/07b2NQE5rV/HZR+BRATkr3/98e3bl+wKCQj2EBA90QEZmrE4Ua8+IH//9evXT58+NR+Qiz9DjwlIEZ+BYA8B0RMbkPR/1hhOtRSQXfuvTw6KDMhVH4FcHJB+7fwaLwoIiJ7IgEz/Y6bHqc5dAtLOb2Fd/Bn6tQFJ72DVfoBDQEQRED1xAZn/f/0eO+3cJCDpHawG/h3I/BPqK/6H41cGJL39Vv3+GwERRUD0RAXk6+Lzg8dOOzcJSHoHq265IQHp1/EYwT/Sj/OD0P9b7EUBsfjVv3wiIKIIiJ6ggKw8dtq5SUD6tXaqPkMPCcj4GfoyHw9fQn6z97qAjK8/qv+WIgFRRUD0EJDxBUjdRyChAcmqn8zXBeRHevkR8U9YCIgoAqKHgKRPQCpfgIQEZPvCYy6gIFcE5Mfi7baAF0oERBQB0UNA0q9gVf7vQD4gIAHTOTwg/bJmIt5oIyCiCIietw9I6kftC5CQgPQLMV+G/914+l2sXvVrkIsDEvNRPwERRUD0vHtAxn5UrzU2IIvPzKeEhPwj78CALD+0ifiUpkNARBEQPW8ekPEDkNo3sEICMo3j1TtB0xmVP+NfG5BV97wIiCgCoue9AzL2o/oNrJCAjB+BbMbwNKhtg9PVAQl5FUJARBEQPW8dkMh+RAYk82P8OKnrXoJEByTzqX/9ixACIoqA6HnngIT2IyIg/R9K/5L/Tab0OUjdT/jhAfn2o1/t/JP+6t/EIiCiCIieNw7I+Pl5SD9CArKnX2mn6iVIdEBmphcjIZ/0ExA9BETP+wYkuB+XByQN6FYDMvvX6JUFISCiCIietw1IdD8uD0h6CVI1na8MyOzXjevexCIgogiInncNSHg/rg9IGs920uXagIxvswV8UENA9BAQPe8ZkOnj87B+EJDO+DmInfYhIKIIiJ63DMgV/bg+IDu/5HvYxQEZI1f/QQ0B0UNA9LxjQMa/3x7ZDwLyEPdJPwHRQ0D0vGFApo8/6v9+yQwBeehXGPFJPwHRQ0D0vF9ALuoHAen1KyQgyCEget4uIFf1g4D07EMQAoItAqLnzQJyycfnAwLyEParYgREDwHR814BubAfEQH58ePHt46dWksBsZMuAQF5rPFL8VPyfoW8AkEOAdHzVgG5sh8BAekXVh6+dvaLA9Iv4ekiCQi2CIiedwrI1I9P8f0ICMj+2z/pD7q/+G9h7X/IEbdIAqKHgOh5p4CMn58Hf3w+iAtIfvpGfAQSF5DLK0dA9BAQPW8UkGv7ERCQlIj8T/d2ZtU7WAEBSYvMJyLlpb5yBEQPAdHzPgEZ//35Nf0ICMhuI0J+tg8IyKFFBlSOgOghIHreJiDjByAX9SMiIOnn99xLEDur7mf7iIDsvdG2/ybcUQREFAHR8zYB6RfUuaofEQFJbw9lKrHXlhMCArKzyPEsO+1EQEQRED3vEpDxDawLfv9qEBCQ8WXGZgKnflS+AIkISLll4xtYdS9ACIgqAqLnTQIyvoF1WT9CAjL+CP9lGYqxH5WjOSQgYydWBRkXWfkqiYCoIiB63iQgs7/gvqOqLhEBmYbwPBXjxK4ezSEBKSxy2lr5KomAqCIget4kIP1ynnp9QGbD+Zdv/SD+Mb4q6fQXqRESkNkiv2QWWdsPAqKKgOh5j4DM/obJngYCMr3ayKgezUEBmWduI2iRBEQPAdHzHgE59g5WCwGZvxW0svpcxCUoIDsFiVokAdFDQPS8R0D61TzXQkCKw7n684+HqIBcv0gCooeA6CEgM20EJP8iJOAn+05YQC5fJAHRQ0D0EJCZRgLy179+W03niHevenEB2S5y+Dw9AAERRUD0XBOQYNUB+QiRAel8+/ZlGND2i04xIgPSuXCRBEQPAdFDQKIEB+QawQG5BgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9PQB+Zf/zbb9q7dZ5L/+H7Tt377NIgmIHgKi5+8eByvQmr+1b1DoICB6CAiaRED0EBA9BARNIiB6CIie/+FxsP4z/2Lb/tnbLPKf+5fa9i/cYZH//GOR/4l9g0IHAdHDb2FF4bewovBbWKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiInqsC8vWx3692otZVAYlf5CWz+ctjz798sVNVCAheh4DouSgg3x+7bT0gFyzyitn8o19mYwHpl1TyzS7kREBEERA9FwXk02O3rQfkgkVeEBDrR1sBSYvKIyDIISB6rglI/95Q6wG5YpEXBGR4A6uxgHzrl1RCQJBDQPRcEpDhvaHGA3LJIuMDMv6sT0BwcwREzxUBSaO56YBcs8jwgEzvFTUVkH5FRQQEOQREzwUBGUdzywG5aJHhAUlvYBEQ3B4B0RMfkGk0NxyQqxYZHZDZW0UtBWT/M3QCgiwCoic8ILPR3G5ALltkcEDmg7qlgFjXQpa0RUBEERA90QGxX20atBqQ6xYZHJB+gabBgFS+0ighIKIIiJ7YgHwf/mlF0mZArlxkbECmD0A6LQWkX9Avv/ywk8EIiCgCoic0IPN3hh6aDMiliwwNyPKTBgKCmyMgegIDsvrJvtNgQC5eZGhA+uV15bD/2NYqMQFJZbOT0QiIKAKiJy4gsw8W0pBuLyBXLzIyIBaOH80G5KKPQAiIKgKiJyog88+lP/29fdFaQK5fZGBAxindXkCu/QydgKgiIHqCAjIfzd//vtGAfMAi4wJi/eiy0V5A0msjOxmNgIgiIHrCA/KpG83NB+SyRcYFZBrS7QWkX89lH4EQEFUERE90QIZxvDhRLzog1y0yLCCzd4maC8jFn6ETEFUERE9sQPqf7DvDqUYDcuUiowIyvYHVbkCu+giEgKgiIHoiA5Imc9MBuXaRUQHpV2afMjQXkIs/QycgqgiInriATJO54YBcvciggNiIHj6lbi4gtqB+dT++Dae+fInrCQERRUD0RAXk62wyNxuQ6xcZE5D5G1gNBqRfzuMjkB8WOhPVEAIiioDoCQrIymOnncYCstIvscmA9OsaP6RuLSDjZ+jLfDx8CfnNXgIiioDoISDtBWT+FtF0srmAZEWskoCIIiB6CEhzAVm+gdVeQLYvPOYClklARBEQPQSktYCM7xAl9wrI9MrJjYCIIiB6CEhrAVm9gdVeQPrVmC/fFr+L1ateKAERRUD0EJDGAmIvQGa/0NRuQBafmU8JqV0pARFFQPQQkLYCsnkDq7mATJ+hr96rms6o/HVeAiKKgOghIG0FxGqR+dG+lYCMH4Gs+jEviG1wIiCiCIgeAtJUQGw6L36EbzQgm37MClL3EoSAiCIgeghISwGxCbxsRWMB+euPb9++fMn1Y1xq5VoJiCgCooeAtBSQfkHrH+5bC8iefqWdqpcgBEQUAdFDQBoKiKViNX3vFJD0/hYBwRYB0UNA2glI9g2sewUkvQSpWiwBEUVA9BCQdgLSL2f76fStAmKLrfo9LAIiioDoISDNBMRm7+bTaQICDQREDwFpJSCFN7BuFpCdX/I9jICIIiB6CEgjAUn/hmI7eQkINBAQPQSkkYCkyftUVUgICF6HgOghIAQkEgFBEQHRQ0AISCQCgiICooeAEJBIBARFBEQPASEg5/z48eNbx06tpbthJ10IiCgCooeAEJBT+jWUV2FnExBsERA9BKSVgHwp6VfZsZM1bw4FBGT/XwqmX0bmb2Fhi4DoISCNBKSsrX8HkgKST0TERyAERBUB0UNACMgpKRH55diZVe9gERBVBEQPASEg5/SL6djJhZB3sAiIKgKih4AQkHPSe1i59dhZde9gERBVBEQPASEg54y/LratxF5bTiAgogiIHgJCQE7qV/Ngp0epH5UvQAiIKgKih4AQkJPGlyCr3yge+1H3CQgBkUVA9BAQAnLWWIp5KtLn5wELJSCiCIgeAkJATpsK8su3/lXIj/m/o+8vUoOAiCIgeggIATlterWRUfkBSIeAiCIgeggIATnvx+w1yFLdX1oZEBBRBEQPASEgHoWCxC2SgOghIHoICAFxyb4ICXj50SEgogiIHgJCQJy+rRIS8e5Vj4CIIiB6rglIsGsCEuyygESKDEjn2zf7a/Nfht/GikFARBEQPQQkyjsG5BoERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHR0wfkP/yf2vZf3GaR/93/07b/5TaLJCB6CIiev3scrEBr/ta+QaGDgOghIGgSAdFDQPQQEDSJgOghIHoICJpEQPQQEEH/Vue/bR2LjHKbRdq3J4QQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQENzRn35Z+JNtvo+/2MqTv9h24E4ICO6IgAANICC4oxsGZLlGAgIFBAR3dDQgf/7TcMk//fkvLx7Rf/nFvhgQECggILijQwH5s52bvHRI/4mAQA8BwR0dCMjqIr0/23kfr1uNfTUgIFBAQHBHTwOyHtDJiwb1Yzn25YCAQAEBwR1ZQIqffeRefgxeM6kft2xfLqWQEBDcEQHBHT0JSLkfO9G5UL8e+3qJgODOCAjuaD8ge/14RUGGStiJJQKCOyMguKPdgMw/X/hT/7n5X/4y/42sDx/Ww83aiSUCgjsjILij3YAM5z3Mzp8n5IOntS3WTi0RENwZAcEd7QVkegNrOZWnFyYf+yZWKpedXCIguDMCgjvaC8hwVmc9lP8ypuVDx7XdJgGBHgKCO9oJyPhW1XYmT69BbMNHGKtlp5cICO6MgOCOdgIynJP/V+djQT5uXk8fvdiGJQKCOyMguKNyQNLAzn/OkV4OfNjfNJle9BAQ6CEguKNyQPYTkeZ1Pi8XSMvp2JYlAoI7IyC4o+cBsZNrdm7p7Giz3x0mINBDQHBH5YAMZxRfYuz+Tm242RtYBASCCAjuqBiQNJBLH3J87MCevYFFQCCIgOCOygH586A0kD90YC/6QUCgh4DgjspvYT3xkQM73ZaxrUsEBHdGQHBH7oB85GcgyxcgBAR6CAju6A4BWfWDgEAPAcEduQPivuJp4xtYKSS2fYmA4M4ICO7I24H9f6ceym7plz/vvughILgzAoI78gYkvRq4/k+ZpFv60/67ZgQEd0ZAcEfOgIxvK9np68xuiYBAFgHBHTkDMr0suJrd0OOlDgGBLAKCO/IFJPXj+hcg81IREMgiILgjV0DGt5UufwGSmtFHg4BAFgHBHXkCMvbj+hcgdjtDFggIZBEQ3JEnIOMbWJf/Ctb8DSwCAmEEBHfkCMjYj499A4uAQBgBwR2dD8jH9WN8q8yiQEAgi4Dgjk4HZJzq14/qlKq0OAICWQQEd3Q2IB/Yj9UbWAQEwggI7uhsQIaLdy7/AH1M1ZgEAgJZBAR3dDIg6V2lE+95ea3fwCIgEEZAcEfnAvLSfhAQ6CIguKNTARk/lcjP8EjbN7AICIQRENzRmYCMQ/0DpnTmBQgBgS4Cgjs6EZBX94OAQBcBwR2dCEga6sderlQZW7XIAQGBLAKCOzoekA/sx/x/AjJDQCCLgOCODgckTe/C/A6VWrVaFQGBLAKCOzoakPFNpQ+Y0Pk3sAgIhBEQ3NHBgHxkPwpvYBEQCCMguKODAUlvKh14r6ta4Q0sAgJhBAR3dCwgH9mP8cMWOz0hIJBFQHBHhwLykf2Y/lzjM3Z5Q0BwZwQEd3QkIB/6AcgYq6fsCoaA4M4ICO7oQEA+tB/jG1jP2TUMAcGdERDc0YGADJfoXP6/AJnH6jm7iiEguDMCgjt6HpDxPaWP+ADk+BtYBARKCAju6GlAPrQfJ97AIiBQQkBwR88CMo1023CpP+2yhfxiJ+06hoDgzggI7uhJQKbPJBoYzPw7EMgiILij/YBM/fiAD9CfIiCQRUBwR/sBGd81KvvAgU1AIIuA4I52A3KgHwQECEBAcEd7ATnSDwICBCAguKOdgEwfgOwhIEA9AoI7KgfkWD8ICBCAgOCOygE59AYWAQEiEBDcUTEgB/tBQIAABAR3VH4FcjMEBHdGQHBHBARoAAHBHREQoAEEBHdEQIAGEBDcEQEBGkBAcEcEBGgAAcEdERCgAQQEd0RAgAYQENwRAQEaQEBwRxaQ5H4hSeFICAjuiIDgjggI0AACgjsiIEADCAjuiIAADSAguCMCAjSAgOCOCAjQAAKCOyIgQAMICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFzePCC/2X8BAGe9eUA+/5NVQj7/k4XPthltevJ0feYHBOBK7x2Q37qh86t9PSAgt7L7dD2eXfsSwBXeOyC/bqbO6wNCs07Ye7r683gJAlzorQPy+BF1NWWOBeS3334dLvj58/IFTL3fXvlD8+xu3WPylp+u34azop+ec273eALnvHVA+hcgndmUKU+kSbpaEjqkPp8NyHLFFWuxkTvyvRQKWk5qu7GtG+Ul25YXvgSJeTyBlr11QOzIPvcKZDXaenGzobt9++qgVc2iJnbP8Rl01HLs+olt3Sg/XZkfDj5U0OMJNO2dA5KO8fn4fxqQ1QWSoNHwWJJ9edBw8yPvvCzcrdNltOsl3uWsX+TZ5o3y0zUOcDv9waIeT6Bp7xyQNKXmw98O/NKBnvu5chAzGh57si+PWQ8q38QOu1sxy9mux7YXZZ62tJRX/NR/9bcJ0Ih3Dogd04vptB+Q8mCIGQ39rdvXh2wW5JrYe3fr1ACOWc62Q56ApLV4XwRVCHs8gca9cUCyE2Y/IIvB9vnzcs7VF2RYkZ04ZDNpPeNyd96dmnghy8ktyM4oyj1tw6Zzj2eIuMcTaNwbByT3DtZ+QGbvzKdfy7Tf0+xVT4ZhN3biiM3Adk3s+V6G+5V+/bR3PIwxy8kNYDunyG55sdTs8/sRwh5PoHVvHBA7npfDKTeJkmmwzc/Ob/Ww27ZTJw3X9UzsWRZns3Y28jz3y67qewUySWuzk0W5py09MbVrOOuSxxNo0vsGJD9f9gIyTobVz7TjaKgbVUeHZZ5d+fwSigGcJp7jZ3i75isDkv8J4XLXPJ5AkwjI8mjeCcg4GTbHfxoN2ewcZjv56ICMWdysvnzOc3bNlwakrshe1zyeQJPeNyD58bITkHSF7XljWuy0y/gDqp0+ya58fmLbFXN3eVySe69NBORjf+C3Gw1+PIEmvW9A7Fg+HpB0+GfmUTqrYjCMP55+cEDG27XTC+l+5R6OfXbFlwYkdf1Dx/VFjyfQpLcPyGq6ZCfRYDgnPxnsLP9gmN45/+CA2PXyP6b7X1rZ9V4akPpnxcFuM/rxBJr0tgFJx/LqQC8HZPfn2Z3uHJN+Nu3YlpPsymcn9pORlpZ1+l0gu95rA3L02oGuejyBJr1tQArDpVyCXz8Pssd+Ggx28rTxjY+ObTrJruwNSOF6aV2nQ+C93kpMQD5wXF/1eAJNetuAFEZ+OSC7jg66gvHn1gfbdpJd+exkejZj7ex7BiQ9rB8YkKseT6BJbxuQwpH8moCkmvVs20l25bOTqdDRkfPxaCMgLxjXVz2eQJMIyJLzAK8LSJo6A9t4kl357Kz81djJDe/AG6726oB8/Li2hzP88QSa9K4BKb274TzAbdD55sLiDawPDsgz9w5IXdevQEAghYAsOQ/w4VrOeWm3mdjWk+zK0QHx7tZ7vRW5gNiCop8m4DXeNSCl0eILSNWntat+EJCZyoC84FP0J2xBBAQa3jUgaWrbyZEvIDU/6Y5vYJWWdIxdOXgyuSewXa+RgDQzr9srGlDjzQOymSyugKSxcDI7A7vuP/m17v0Wu3LwqLS93jUgFz0qfrYeAgIRMQEZ/mcHn9P/ZcnY/0ZnvXmpu9Bw9O9f7B9/tf+hwq/7F5uzPWd33O8rM1mGGzmXgvE1xOGVzdgNdrfYYEDGe2anj7PrEZAF/+MJNMkbEDsQ+iMzHeWd2ZE6+z/oFEfrb/PLdIpxmN1ENybsUnZyus35GFnuejNBSttLk2jHOBVOVcfMRkqDAUmP4fm9uq+4VBsQx9N5Jf/jCTSpPiCrCNhwX6chewivLvOQPbQW+XgY9mYnpqvMxsVm18s0pbm9CdZsF4f8NltbqX577KqPO9FeQMa6nb9ndsXa5dQGpO4xjVbxeAJNqg7IeFAk/cGx2ZoZydvL9DYH17pFvcel7MtcQDJXWew33fbmxk4E5Lf0rprZ7OuAtIPH7TUXkPEJcuzUf80FqYDUPJ5Ak2oDkqlAN0hzbVgf3JkZP1gN4ty+Ot2l7KtMQLL7nu837XQz9EuTKGN1I5tdHZDmWz/gmgvIeAcdd82uSUBmah5PoEm1AVlN0V5h5i8Pm9wVzeKChX48LmVfbAMyzuWF+XQpDpbSJMpY3gPXULDrDlduLSDj/fPss+Kqc7UBSd89dvKlqh5PoEmVATGf7TepBuOJx18/ty8f7Kq9eRc+P/540PyC82FsmwaLHW6H1HwfndXNz3cbHZAjl99Kexiu3VhApmfINpxiV20lIK68x6p7PIEmBQTk8zAlNh+b2/BIM6DUhXHGTDuYzYHZTtMF0+fW6axpSM1XMP5/O2apsi2d8IB4JtT4yCxPDqfOsitPD0al6WFzDV+7bu1yjj4mpaetnYBUPp5Ak+oDMh20s1Gd3TybJuPwXRzy40Qdj7Fxy/KCi1vKBmR+lI6bp43FwVSaRBmzW+scucbSeCdsWU0FpHbe2ZVvEpDF99M+38NR/XgCTaoOyPyYnY3U+ebx4LHTsy2rI35zSTu5OezmR3wuIMuLp+3TJW0wbad+aRJlzO7tw5GrLKTrpys2FZDxzp2+WwO79qsDktbx8oDUPp5Ak6oDMj+gZsfh4jizbdPG9ewcpYFhlxwPu81hO7upTEBW+00X3lxyezQXz8izf2zfOzka0l0dh2NLASk9kofZ1VsJyJN1XB6Q6scTaFJtQJYHhG1cb15lYbqcnZyxM+yAt1O543865qczx8PUTo9s87S9OHCKZxRlP7p5blz/+KA0FJAxbs7FhC1HJCD1jyfQpNqALI/M8UBZbl6/AkgXyxzW6aL9cZoul53MmdtKo3xz+XRZOxkakOlmc/enaLvWzSJPsSufWULRNE99P2937Pq1yzn6mBSftmH7s3VcHJCAxxNoUm1A7KQZjxQ7ndjWdBin4WknF+ys/khLl8seduNtTcMhXX4zLq4NyHi7T+fcJF1ldkPNBCRi3tkOapcjERD6AVkvCcjq5IKNjP684cvSNE/DZdpNmsp2cpLWNR7AxYFTPGNXuuEnc2oyPlCzkdJMQGxXVTur30NPIiB2zZgnB2hJZUBWR2w6ENcH8vL4TpfKHk82Mh4X3b1c7uw0x+3kJF30qoAUHo6ytNL5FVoJSFrb6QdhznZRu5wPCsilQh5PoEmxASltXh7faSr0/1R8w86bXa70Q5+d3UJAirecly6+uJlGApLWdvoxWLB9EJCgxxNoUmVA1gdmYfPy+B4Dsmd2ueFaW3b2dGPFMXJ5QM4NqrScZRrbCMi4tmK3D7F91C7n/gEJejyBJr0iIHZqX3e4PRvmdv50Y8UrfFhAjl3PLrx6mJoISNS8s53ULuf2AaEfkHbngNh0mW6seIVNQOyq20s+u82SM9dL93914SYCYrup3lHMXu4fELv9F64AuNB7B2Q7mJ7dZsmJ6T/+ULr6mbSFgIxPzekHYMV2Uzs2awOyeeI/WNjjCTSJgCw9u82SE9PfLrl5kBoIyPjMVM8720/dcm4fkLjHE2jSCwPy9KB6Nj1sP9ONFXfcUkDsFrY38fqAjK+N6geu7ecmAZnu+FNnHpnAxxNo0isCcnQqPLuc7dUTkLTBTk6Ku3ji8PRPF9xe8vAusuzKNRM7ct7Zjl4dkIPXvyYg9APyWg7IZuyv2Nk1AdnsurgL+1cqpYlo13s+/e1yz9nlj7JrVUzs0Hlne6pYTu/OAQl9PIEmvSIgxem9ki5XmEJpOExnHw9IWuhmCcVdDNszZwyenD1KoXnOrnCUXatiYo9Le3onDrBdVSynd+eAhD6eQJNeGZCn08UuVzj80wE67aY0RsoB2SyhuIt0a3Zy5ehdSgPtALvGUXatp49pUbqDMfPO9uVfzqA2IMWnc+mKgMQ+nkCTXhGQdKn8WPj11/EYTeMjf9DambMbK46LwIDkR+L+SkcnBtVHB2RKm22oY/tyL8fcNyDBjyfQpJcEJB1c2fEy256O6+zxnyb6bC/FcbENyOmJk9acXcs4gOx0ybjmA+wqR9m1sg/pAdMIPToh99nOvMtJggLybBnxAYl+PIEmvSQg49GVObiGi9oZ/dedzACYjtDpzNIYGS883d6TiZPJxHBGfhjZtbLnzUw/lR5g1znKrvVkBSXh88725lzOqDYgw+bqZZxGP/AeXhKQceBu53Q6ZxgZ48TdHIbTETq7sdIYyQSkNJmKu5hWth0JO2ct2G9yFdg+0t8otuscZVd2jkq7dtyoDdrdXQNit/uCWwY+0msCMo7/9RE/TdHhtJ3ajOZZP2Y3VhojIQEpD4X1op2ODss8u7JvYAXdgxnbn285k8qAbJ/3jxH/eAJNek1ApiNscWz/tjnwplAsdpnmSm86pzBGcoOkNFqKu5iv+fNi0baxUzenXheQ6Z7Zhnq2P9dyZioDUveQul3weAJNelFA0gU74zT+dTruplE82zb+dpZdMJ3lCsjxlU5ma0n/oPC3WT5qp+XLAjK/DwXZx2OPXa/yIakNyN6zeZ0rHk+gSa8KyPIge7znb1/2pkG/c7l01nRjxXmRLroNyJmRsxoMqzVXD4VXBWR1t7JO3ze73jsG5JLHE2jSqwKye5jN5nz5cr9tb6w4L9JOZjv2jJzd0VA9E14UkCPz7vyds+u9OCDD1upVnHLN4wk06WUB2TnQ5v0oXq67kH013diZgBRG025AZh/SbNQPqRcFpHyXZk4PPLte7aNSF5D0tNc/Nydc83gCTXpdQEpl2Bxb2an9SIF9Od1Yfox0MgHJbHoo7sKUxsNqNx6vCUjpDi2dHnh2vdrRXReQukfU56LHE2jSCwMyHeAz2T93u7nc8MG7nZiuUbiZfC1s0+r2irtIsjnLLfq0lwSkUPG10wPPrlf7wNQF5OmTGe+qxxNo0ksDsklD6a+l/7a4XLqUnZyuU7yZXEDcM2eTkIBXHw+vCMjBeXd+4Nn1Ti5noy4gw8bzi/e77PEEmuQNSJjffrUh8fnX3WnzW/rl3dqZlKQM2ElzICCdbjH9BT9/nv7yI15oNyBR3zEAVl4ekJdJP9wux8uxgKAx2actPcM0HrjI+wYk/wYHAbml7NNmG53vCQJ46o0Dkp0vBOSWsk/bsI3nErjMGwck+x4WAbml3NOWf48SQJw3Dkj6jZnF1CEgt5R72mwb72ABl3njgKS3OBYThoDcUu5pGzbxVALXeeeApB9R5+9xEJBbyjxtvIMFXO6dA5JGzHzsEJBbyjxt6ccDOwkg3jsHJDdj0iZDSNpWfrqyn3ABCPXWAcm8BCEgt1J+utI5vIMFXOetA5I+Z539U2UCcivPA2InAVzgvQPST5nF/+GcgNzKztM1nMUTCFzovQPyeKN8+R4HAbmVvaer/xTEvgZwhfcOSDeAVn9pj4Dcyu7T9dtnnj/gUm8ekN/Wf6mVgNzKk6dr8e4kgGhvHhAAgBcBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAZry0/4LtI+AAE35/R9WCfn9HxZ+t81o05On63etHxAICNCSn93Q+cO+HhCQW9l9uh7Prn2pgYAALfljM3X8Afm5LBGWrknx3tPVn9fcS5CabxMCAjTk8SPqasr4A/K7YzL8/OP34QZ//6OFSfezW8+wHM+d2fXzmtcC5afr53BWc1WveWQJCNCQ/gXIcsq4A/Lz9KyyETeqeMM+3ZGNMz/3r3cSOnt/9wTEFrI1PlLlp8u2tPYS5Py3yQwBARpiMybiFUj3YubkZFjdUs877XL76p0J4NaZ/OzrFmhfnZBb0uBAQDI/HDTg/LfJHAEB2pEG1HxOegPSXe/UZCgMR+fItmtvnVl/TtDP7497a1+eUHxddSQg4wNsp9tw9ttkiYAA7UgDaj4lbSKdHeSPXZ2ZDIV53fGM7PKkPXg/CjnrOIu28tiTfXlCv4CszYOUedrSQxzUwBBnv01WCAjQjmHALEebLyD9AD4xGcr9cA282oCU+xFTkP7u2tcn9LefdSQg6U5VDOxoZ79N1ggI0IzshPEFpL/W8cmwGNi/2y9ijc4XZLWDmWP3Y3H99XrqCzLcXTtx3OJRWjoSkOzPB6/Vr5KAAApy72BlJ9FTw56OT4b+4r30S50/Zy8izk9su2LGoX3Nbjv9NrH9Om/vfNBWht3YiePKr6uOBST7/L7S2W+TDQICNKM/nDt2cuAJiP2ofHgyTMN5PtvyW49Ik9JOnjX9pD+/1/mtHnbH7NRxw9WOPay5py3dg4qJHerst8kWAQFakZ8vnoAMVzk+Gezy6xuZRrZtOMqz5pnxJ/1VuMai1U1gb97Sw3Eop9mHYNjmDms0Ww0BAQTkB5RjGKcJeXQypMG8uY2xICdfgti1nJOpfKvFhZ5iOzk9xk+FJ/u0Vb4yC3b22ySDgACtyI+X8wEZB/DRyWAXz2QiTexzM6ZyTqarb+/yeM/stEu6T6d3Ylc79ljsBuRkj69x+tskg4AArbDjuTogwxU6BydDmiSZm/BN7PNLXkgTPjNm01kVMy8N8dMBSY/FsemffQzSLiqWH8fWQkAACfnj+fQ0TkP28GRIIzV3cdfPzHYd72Cyq2cHvJ3lbdMsiacDkh4KO/lE/mkbNlYsP87pb5McAgI0ovAT7tmAzCbkwcmQRomdXDj3Y/eg8ufs3auffTQ2prl5NiB7D9NWfqHnInSl898mOQQEaERhuJwdmcPFe0cDYuzkgicGlVPyD1tOtlnnpvhWWtuDbTrKrnX0QR0uXQjIqRd0l7CFPBAQ4P4Ks/FkQNJeHiomw8ixq5MrPqUyTrOfu8/uI1314OzPPwgnd3KdoG8TAgI0onA4nxvHiwn5ooA4rnJYZUDmc/PkPk7ecuFpG7Ze89icEPVtQkCARhQO51MBWQyGkDF1fleVM35f3c4X/Ti5D7vS0Qei8LSdejYvE/ZtQkCANpTe3Tg1cpYTMjAgJ95zuXRGWkB8O1/OzXMBKT09JYVH4dK6Hhb2bUJAgDZEBGQ1IQMC4hh4do2Iem1V7Xw5N88N8bMPRMsBifs2ISBAG0qj5URAVoMhYoafydcg3Y8//nj8OtUff/yM/MD47OuAhVU/zg1xu053h+xu2faSwgNXdQeCBH6bEBCgDWm82cnRiRGedpH+GxCQ83tKNz7zdNoeVvMD/Dg3S4/0nvXQ7aQ/fJ9XeNrSfgKeGrfAbxMCArTBDufN0VyYRBlpuv5D3LtIacacKEC6ykJQQtL4PfGCaGLX7V4a2Re2/ZBMQPYTUnrahs2vDEjktwkBgabh/z/0+2pw/cxvXuouNBz9+xf7xz/s/3H0/O2Mke05u+N+X5mjebiRAzNznHE/w6aU3fapgW1XWTv8GO2Y3cPzpvviCcg4dZfKD0zpaRs2vzAgod8mBAQq5kfD7HCfHR3z/6ldaQb9nF+mU4zDYqKkfzVtJ6fbnI+R5a43R21pe2kSbaTdd3uYvqoyLvjEwC5M2iN34Jlx9Hl2NV55WqKdc4hdZav00JSetsNP51VCv00ICFRMR8MqAnaIr9OQPYRXl3nIHl6bMTnszU5MV5mNi82ul6MnDbjNQJrtYte4pO5r+6piMnT7mxZ8ZtplHkFzZi9b8//F7omejeyqj8fEEZAxP1uFxZSeNk+9IsV+mxAQqBiPhs3B3h/i2xGwHWiFMbEZEesW9R6Xsi9zAclcZbHf2oCMa8+u45zHLxrZLh5OTX67Ts6p/cz8TG8Wms1DdEDawWMNjhk+q9dGfjmlp+3FAYn8NukQEKhIR0OmAt3BkmvD+uBeTKm51YjI7avTXcq+ygQku+/5ftNOV7d1OCDDpey251+ft7p/p+a+zUf7lOfn/HXDyT1NVo/d5hE6YFzG/ER/zjF2DfudZPsoLckuqPS0vTggdusR3yYPBAQq0tGQG9WFmb888nNXNIsLFvrxuJR9sQ3IYo6O5tOlOFhKk2gpXX24mJ0ICci5qd+vdnGV+d58C1o+MZ5+jHOzv/L5GT7ch8UtzxdlmxZKT1t6OOzkB4v8NnkgIFBhR4P5ffkmTDrx+DPh9uWDXbU3H3SPfy5W/MjdNg0WO9wekfN9dFY3P99tXUDGxQ97tBMRAVlMzee6a2z+Dnu6a52TexvMH7JzOUvSHoZrnw/I4xrrB3P2PmZuUaWnLT24rkeiVui3yQMBgQo7Gh7s9/M3H5vbkTINtPlRbJs64wE17WA2B2Y7TRdMb9Sks6Yjcr6CcbDOBrRt6RSnmu1if3IOlxlveXnqrEVAzu2juxeZhU473L8XBdkH8YzxCV+eHE4d0V04c7vTuspnthUQu+2Yb5MHAgIVdjR0poN2MQozm2eHzjgNFof8OHrG433csrxgYejOZt98Yoybp43FqVaaRHNpf+lCdtI5GRb35dyo+yO/zmmPnrk5exA7uw9E1njrduOegGTXPS4ss6bS05YW8+SBWD0He44/pLHfJg8EBCrsaFges7PZM988Hp52erZldcRvLmknN8ft/IjPBWR58bR9uqRNtc3AKU6imfG2043YyZiAnJhQ3Wsx+2Kl9PAeMnsSH07vIl0/XfF8QEr/Gmhc2fb84tM2bH/2oK6fgx2Hn57gb5MHAgIVdjQsD6jZcbg4zmzbtHE9ZEZp2tglyyNjdlOZgKz2my68ueR24BTPmAyXmO1tffq8xe9Pbe7reZvhddL8F5/2HoqM8Y7YaUdAitKiTjxtw/Znz83su+mZw4+oXT7y24SAQIUdDatD1jauN6+yMF3OTs7YGXaU2ancQTcd89OZ49Sz0yPbPG0vDpziGaPtFLMNFZPhYUpIQEHSIv1ryn4i9dw2XYEBGXdupyfFp23Y/uxxuCAgV3ybEBCosKNhdTiMQ3C5OR2faWu6WOZYShftj9N0uewIy9zW9qA1myFWHDjFM5LthAwKyGyK2YYK477stEd6NE/dse1TsHnsK6S9b1ZUfNqG7c/uwvTQP3UwIJd8mxAQqLCjYTUWSnPLtqZjJ80BO7lgZ/XHXbpc9qAdb2s6IovzJS4gmcEQMBkGmXvkZnuqGtvp4Tyxk3SV2eMXGZC0r80DVHzahu3PHtHxkX/uWECu+TYhIFBhR8NqLIzHjZ1ObGs6dlYnF2xG9OcNX5am+XaapPFlJydpXePhXBw4xTNMZkIGTAZTevgcNvfYI93Zw/csNzcjA1J8eopP27D92T0Y1/3csQf0mm8TAgIVdjSsjth0IK4P5OXxnS6VPZRs3jwuunu53NnpsLWTk3TR6oCkHS3miG2qmAxJGrZVY7/35LE7yHZSejQ2cnPzioBsdlZ82obtEc/NGRd9mxAQqLCjYX3EFjYvj+80Uvp/Kr5h580uVxqndvYHBiQ7GAKHVMzY74XsqfiA5qWLLx690ICUdlZ82obtEQ/oCVd9mxAQqCgcDYXNy+N7DMie2eWGa23Z2dONFcdIVEDs3NXZtjFiSMVN2/07ctSwk4N3LT83QwOyeSJN8d4O20Oem+Ou+jYhIFBROBoKm5fHdzq+dnUj4tkMtPOnGyteISggY/nstLGNEUMq3cJ6QJ737ME7ZtjJwb3YhVcPxPsF5LJvEwICFYWjobB5eXzbqX0HAmIH6nRjxSts5o5ddXvJvdvM/4QdOqRKA/K8Zw/eMWf2YpddX/jtAnLdtwkBgYrC0VDYvDy+06TZ1R19z6ZXfUC2U23vNtO612fa5pAhFbavZw/eMSemf2luvjQgpctf6bpvEwICFYWjobB5eXynI2xXewFJ19lcyTbXD/1O2L5idnRi+tslN7cYGpDSzkpP2wsCcuG3CQGBisLRUNi8PL6fhSF5NnpsP9ONFXccEZC0j+0wsu0Vk2EStq+YHR2f/vbAbR+547s4oLSz0tN2MCDjc/vcsxRd+W1CQKCicDQUNi+P76Mj5dnlbK/TjRWn/2aOpA12clLcRbprmQFQPMMhal/psXs27544PP3TBbeXPLyLI2xfm6en9LQdvPHAgNjFLvk2ISBQUTgaCpt9AdmM/RU7e7qx8wHZ7Lq4i3FCPrM/IP6wf+1iJ9fSuiqmzMDux9PH2JZTur2juxnn5lN2eZ/iw1N62j48IEHfJnkEBCoKh0Fh8/L4Lk7vlSfTNB2r09nF6b+9xc0GU9rF8RGzPxnSogv3/cnZC6X/G8hDWm4pVKMnl3ty9iiF5jm7QtnebaWbOfy0fXRAor5N8ggIVBQOg8Lm5fGdjrKnx5BdrnD4p2ky7aY0RsZbnI5+27BZQmkXw+Yj9u/Vk/ue7pOd3NNdtDzMto9Nwf4NHn2mDv/cfWSUlwuSlrPdSelpK21fGXf83H5A7EIHPH1mMggIVBQOg8Lm1XE8nCoMkz+m/yHd/s/jdubsxorjIg0Id0Bs8xH7k6E8A3t25rOB13msqHixcaDb6bJ0x/KrPviC6MT8fbKifk/FW+t30NkutvTMl7avRAUk7Nskj4BAReEwKGxeHcdpLmUPotn2dFxnj//xYJ32UhwXaUfT0V+6aH77mQmZvVMTu1R+EKX79GQfneGS2QdmttzC+TPpqchectyPnS5Jyz7CrpJnN1gY0uPNbM/PP23j9meP54nndy8ggd8mWQQEKgqHQWHz6vgeD7TM0Thc1M7ov+5kjrbpYJ3OLI2R8cLT7T2ZOKvtw8ZjnkyGvRcH432y02W2zMxd7UwPjW3YY5fMLjvdytG7dIRdJ2vv+2JaTW45padz2PzsDkSxWzvEsyQCAhWFw6CweX18l+ffOCX6U+No2kyUaUjObqw0RjIBSXu2k6PsLtKvThUMV+mu1MsOv8m48PIqM2etTPc+c9HdMzfG1W/XvXPWwnC/S2wf6U8v23WyxsvmbvHImZu9D5s/KCCR3yZZBAQq7GBwBqQ4KqejbDhtpzZDYxqSHxGQJ4arHJ1SYxTXM2S6T8+Hy/g4bfYyez1w7E7YhYtP2skHY6P0SGfMntX1Yqb/RXv20Sk8bdvn/YVsLQe/TXIICFQUjobC5s3xnR8H05RIl5xGymKX05DsTOcUxkhukJRGS3EXO4arHJ0MpSk5PSQHbny2k2VC/ph2c3Bszm538VzYxs6x/ZScCMhsLcsH5+fsCc8+OoWn7cxtX87WcvDbJIeAQEXhaChs3h7fw4aHcWxlZ99s2/jbWXbBdNZ0Y9ubMZlc2JbnK31uuMrhyTAf/uk+zX7APjbu5jsZdzN/BI/P/dmV0j8o/LlY47DN69QQX9wBW828HqVnpvC0FTa/xrCWmoeTgEBF4WgobN4eyMsB+HhT2L7sTbNv53LprOnGivMiXXQbkIiRM1zl+GRY3NX+TtlXg2ODf/nAZBztx3pP6+XUTt9zrwJWj81GYTWFp62w+TWGtRAQoD4guwNwPvuKl/u5vbHivMgEJHDkDFc5MRnsRvKODv4nBTncjyd7qh6+J99G2n1siqspPG3D1pqZHah+MQQEKgpHQ2Fz7vguj63l7CtcrruQfTXdWHH6ZwJSmGvFXewYrnJmMizelFnYfCZetjf3T+yms3gDbali3JmTAdktSHE1+actPUL1dyJC/WIICFQUjobC5uzxXRiAm9mdHW+PAWlfTjeWHyOdTEAymx6Ku9gxXOXUZCgN/1O3W+7Q6SGVe4gfTnUo72xAyjnbqWL+aTt905eyxZx+biYEBCoKR0Nhc2EsZwZg9u/Cbi43jBI7MV2jOP1ztbBNq9sr7mLHcJWTkyE3/M+9bugsP19OzlVokJ3a5+5RgWOKL38ZINl7cPJPm+fJvM6wmJoHlYBAReFoKGwuHsmrAVj6s+KrX8SxS9nJ6TrFm8kFJG7mDFc5PRnWw9815zYJKT2ET20ScrZmBY6AZBIy/YG0rPzTNmz0PbDxbDXe56dDQICVn3/YhPn9j91D62f65d2KA3AhjSg7afKT6CI/7U79Xv4fchzQPYL20Dx5CJ/qlmPreTKvP0J3r+xuzf68Zkn+aRs21ozsthAQoBXpJ+PleMlPIjQu+7SlZ/j1MQxCQIBm2HhZDh0CckvZp802NvIZegACAjQjO18IyC1ln7Zhm9BzSUCAZmTfwyIgt5R72vLvUd4ZAQGakX41azF1CMgt5Z4226bzDhYBARpiA2YxYQjILeWetmGT0lNJQIB2pB9R5+9xEJBbyjxteu9gERCgIWnEzMcOAbmlzNOWfjywkwoICNCQzIxJmwwhaVv56cp+wnVzBARoSOYlCAG5lfLTlc4RegeLgABNsSEz+6fKBORWngfETkogIEBL+imz+Bu4BORWdp6u4SypJ5CAAC15vFG+fI+DgNzK3tPVfwpiX2sgIEBTfl//pT0Cciu7T9fP38WePwICNOXn+i+1EpBbefJ0nf4/dLWNgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMDlbwAAOO9v/ub/B94sX24fvn9bAAAAAElFTkSuQmCC\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55250,"title":"Find the minimum of the column-maximums of a matrix","description":"Given a matrix A, find the maximum value of each column, then return the smallest of those maximum values (ie return the minimum of the column maximums).\r\n\r\nA = [5 3 4 3;1 2 6 3;1 1 4 4];\r\nm = minimax(A)\r\nm =\r\n    3\r\nNote that your function should work for matrices with one row or column (ie vectors) and scalars (in which case m = A).\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 751.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 375.867px; transform-origin: 407px 375.867px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 383.5px 8px; transform-origin: 383.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a matrix A, find the maximum value of each column, then return the smallest of those maximum values (ie return the minimum of the column maximums).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 284.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 142.25px; text-align: left; transform-origin: 384px 142.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 337px;height: 279px\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUMAAARaCAMAAABR1ZNDAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAGqUExURQAAAP///wAAAAEBAQICAgMDAwQEBAYGBggICAkJCQsLCwwMDA8PDxERERISEhMTExUVFRgYGBkZGRoaGhsbGxwcHCAgICMjIyUlJSkpKSsrKywsLC0tLS8vLzAwMDY2Njk5OTo6Oj8/P0BAQENDQ0REREVFRUZGRkdHR0pKSktLS0xMTE1NTU5OTlFRUVJSUlNTU1RUVFdXV1lZWVpaWltbW2BgYGFhYWJiYmdnZ2hoaGpqamtra21tbW5ubm9vb3BwcHJycnNzc3R0dHV1dXd3d3p6ent7e39/f4CAgIGBgYKCgoiIiImJiYqKio2NjY6Ojo+Pj5CQkJOTk5SUlJWVlZaWlpeXl5iYmJubm5ycnJ6enp+fn6CgoKGhoaKioqOjo6SkpKenp6mpqaqqqqurq66urq+vr7CwsLGxsbW1tba2tri4uLm5ubq6uru7u8LCwsPDw8TExMXFxcbGxtDQ0NHR0dLS0tTU1NfX19ra2tvb29zc3N/f3+Dg4OHh4eLi4uPj4+bm5ujo6Onp6evr6+zs7PDw8PLy8vPz8/T09Pn5+f39/f///wM73WEAAAACdFJOUwD+LJYSIwAAAAlwSFlzAAAywAAAMsABKGRa2wAAQPVJREFUeF7t3fuDLFtZn3FSong3kKioaFBHmUAwiZoL4lEMJirjiBi8RBODkosJTnBUoggYEeQcgfM/p6r6Xavu1T1rfVf3enc9n1/Oqeqenndq13qmunv2nrf8AwBAqre8CQBIRUMBIB0NBYB0NBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUANLRUABIR0MBIB0NBYB0NBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUANLRUABIR0MBIB0NBYB0NBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUANLRUABIR0MBIB0NBYB0NBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUANLRUABIR0MBIB0NBYB0NBQA0tFQAEhHQwEgHQ1FAf+k9Yu1Y0gVN0Pa6alFQ6H38Qao0Gt2gkrRUOjRUFSJhsIJGooq0VA4QUNRJRoKJ/6kO19/58t1+18MKeJnyD+0E1SKhkKvb+jvvVG3P2ZIET9D0lA4QUNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4csCGPj093HUP2NzdPdguhXJ5smltK4ufI0lD4YSsod3jbMpcYcqV/3Ra9YFu8Rdr6FM/aH0NLXskaSicUDXUFvqGaho6W/cd1dov1dBwZCtraOkjSUPhhKqhD93jbKqloetTSupUrKGhVXU1tPiRpKFw4lANXV46mSe7Q45CDY0X+FU1tPyRpKFwQtXQ7mG21dHQzYUvWfplGjq8RlJTQ69wJGkonDhQQ0cv2T70K93eVO4IAlWmodIRPR1JGgonRA0drao1NTR0GHF0qRTXfv7SL9LQ0Usk9TT0KkeShsIJUUNtrUvW+ZJk5YdFPp0x9iD7OWiJho6/NdXT0KscSRoKJ7QNzbze3KJY+XGJ23YQrvSyE1Wiof1kppqGXudI0lA4IWpo9yit7EuQdYqVHy6eFiOGG2wzWYGGxufHnWoaep0jSUPhxFEaGi6ellfK27e8jL6h8YKvV0tDr3QkaSic0DQ0rB7bVBOs/PBEc6XydvmU2yh9Q/ux2sHsP7Y3i58jSUPhhLShhV4OVaz8fr6WbY7V2lCbK/ylyloa2g/Tss0xGooD0jS07FtKwpW/NmG4sLLNVOqGxu9LdTa09JGkoXBC09BwyWSbaoKVvzNhnQ21hLblrKyhVzqSNBROaBraPUjLtuQkeXp6eLhbnbDOhg6pqqyhVzqSNBROSBpa+C0ldZ5mRI3SDmk56p4xV9fQTcojSUPhhLKhpV4OLbzy+9nzp5cOOTyT99TQfk7RkaShcELS0NFFUxFFV354Apr7Yq50yH4im8lNQ6VHkobCCUlDbZX3a6fEr9gpufLD6xDZL0Qoh7QanWLkpaHaI0lD4YSkod1jtLqA2v+e1P5rNjpWqPyLaOGQ42fyfhqqPZI0FE4oGhouQOKTucFd7vO6XrmVH6+d8gslHLKfKF7P+Wio+kjSUDihbOgqxdIvtfJHv1ctv/W6IW2qMJKHhuqPJA2FE4qGLi8/xwRrv8TKf5q87iC4XJYNOX0mX39DyxxJGgonyjdUsKzkK78fa0Sw8GVDxldGgqob2o82IjuSNBROKBraPURwd/oFO+Hd+V726i+88jXvfKmGtAM3xMhRQ4VHkobCCW1DJ28hDRXNXf7qlT99AVcSJ9mQNtuoRjU3tNyRpKFwQtDQYR3NnsgNN2Ren5Rd+bP0p9IMGUazzY6fhiqPJA2FE4KGxpdDF+tnWGG2I1HplS8JlGbIxTN5Xw3VHUkaCieEDV25BIlLLO9CVL3yV94Ey7+Akgxpk00OV80NLXckaSicULwe2v1baHdrCY3rPzMA8pX/8NRPO37ja33+F1AMad9zpker6oYWO5I0FE4oGrqne/hO1oWoeuWPDBdSuY1SDNkPMo9QzQ0dER9JGgonSjc0rKxaGzr6GzaZS18wpI0yO1ZOGio+kjQUTpRuaLi0ylpWJVf+8HpD5nPQ/CFXn8n7aaj2SNJQOFG8oWFd2WaSsis/vt6QV6n8IfshlgHy01DlkaShcIKGjl7Js+002UPakVpcwzlqqPBI0lA4UbyhYVnlPL0rvPJj52/6ou3GM3lXDRUeSRoKJ2hoq4Y3vsKP0i6Pk6eG6o4kDYUTNLTTT5iZqcwhw3E665ZDntePqBiShsIJGtrpJ6ShAv2INBQHQkM7iqfLNLQjO5I0FE7Q0E54K8Q2k9DQjuxI0lA4IWjo09PTQ8u25kIbbDOJYOV3M95tvtXRT8h16EWudCRpKJzIb2j3AK2tVWM337ih/Qhnh6Sh5/UzXOFI0lA4kd/Q/Wdv4Ud2bvljQ639l+lqGPLhbks/Wss2c14UcXQkaSic0DV0fdkoXg7Vrfy6Q79hv1ov4+dI0lA4kd/QUMn1NW43Zj2VF6z8MOT62g5duHHoN9TV0GsdSRoKJwTvKXWP0LHNCcl1iSJP/RQt25wIQ9469Bvqaui1jiQNhROChoZrj7VFbjflXZcoVn4Yci3me7dd7igNvdKRpKFwQtDQ+I7yMpRhTWWuf8HK3xky3mTbiY7S0CsdSRoKJwQNjRebi6UTEpp5GSrJ02bO4/PPvIunwzT0SkeShsIJRUPj5cfs525iQjPXlGTlxwU+W/pxyNxGHaah1zmSNBROKBo6rJ5xLeNSy1/9kjytDznszbxWPk5Dr3MkaSickDR0tKqah34FPcVr01Z/lxyaPA1D3q0MmbvwD9TQqxxJGgonNA0drjlXZK8pVZ5GpV+oZsil+hp6jSNJQ+GEpqHjZ3IzeX838USVp+2lX9GQCxU29ApHkobCCVFDN1dVVSvfx5BzNTa0/JGkoXBC1tD1S1HBVUlLlycXQ85U2dDiR5KGwgldQ99442G2rBRP43vKPM2HPL0pInCwhpY+kjQUTigb2np4sH+rzd6w1RDnycWQZfg5kjQUTogbWsYR81SGnyFpKJygoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwpG/of/x/dfvvDCniZ0gaCic+3p6uQHVesxNUioZCj4aiSjQUTtBQVImGwgkaiirRUDjRv6f0/n9ft5/uhvxntlErhlT5V92QvKcEJ/jZJhWGVOFnm+AJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+FJqYY+dI/7YBu5xCv/6eHurnvE5u7uQTVigTy1Y8qn1A75NBrRdinQUHhSqKFP3cNW2dCnvu4jquUvztNszDvbn0l6JE/9DHQZpaHwpFBDT8urvoae2j5z92S3ZimYp56kosIjuRxR+t2IhsKJMg21i6jqGrqSpp6iT8KGzi+VTxSplw25MaLdmoeGwpMiDQ1Xe7U1dCuhksWva+jmmPkRLX4kFZf0NBSelGhofMJcWUO3E6qIqKyhO2NmF6r8kVRdLNNQOFGgocNrjnU1dLTwH576pf4wekaaHVFVQ4cx72zK0Z7+Hhk0Q45eVX6Qj0hD4Yu+oeMFZrtySVb+0MvxpdKwN3fxixoaBxq9/Dm8f5N7RCVDDn/CoyMZRxRd0dNQOCFv6CihVTU0zjVf43Hx23YqTUM3xqxqyDDMdMQ4+fhbVBIaCk/UDZ28X1tTQ8Ngy8uk9SS8mKahYZj5odva/0KKIWMsbTvYPsIvREPhibahsx8arKmh/UAt2xzZasILSRoaZll2aPOGF1EMGf6MF9eb4QbbTEZD4Ym0obFGpqKGhouktSea4ba8cSUN7edYLaUmUIIhwx/y8mht3/IyNBSeCBu6/JsrFTV0N0F2W941nqKhoUJrpbebbh76ne9GdpBzn8zTUHiia2hYW60QrIoa2s+zNZHkGk/RUDuGq1NKAqU7kmsHi4bigFQNHRW0XUP2P/U0dO8CbxjeNtMoGtpPsTFlO2T3LzitfwWX0jV07c9WchxpKHwRNXSc0HaV2//V09D91b1f2AsJ8mRz5F7H7RAMaReba8eKhuKA5A3tfzTc/p+GvoxNmTXGPsGQ7eF6eLhbPZI0FAekbugpm5ONfIo8tev+bn3l19PQfoj6G7qJ10NxQNqGhr+feNqqqaG7JNdP+UOGlNtmCWWPZD99/h87DYUnyoYOf8O722p5aWgl78tbQ1VHbU3RIxm+FeVeR9NQeKJr6PifCO4etOWkoeH679Y/NmQN8trQcBizr6NpKDxRNXT6Mzfdg7acNDRcP+WNK2toPJL2G9+Uv/Ct5JEMV/PZ09JQeCJq6Ez3oC0nDe1nbeU9B80fcvJTQ9NfSlfnL84bi1eh+T+ZRUPhCQ2Nl6GZz0Hzh+yHOI2x/Huz45dK0pU6kqN58+ekofCEhsYLqMzFr2xonGlM8aP3JY7k0+SSWZB6GgpPaGi4gpL8VGPOkCGcw0gzgojKj2Q/2IjiapmGwpPDNzT2Knf16xq6kVDZS43lGqr5A6eh8OToDY29yp5V1tD4RN5+39vomXJ2RNVHcvqig+LVhhYNhScHb2hsQAWXeNMeja+Lh4rmHtGyDW0PI8/lcTTHbuiQgPy1r23otOnDTbYjVemGSq5FaSg8OXRDlQnVNnReonhbZqLUR3LyQ6wn+ZeiNBSeHLmh0oRKG7osZbzRthPJG/rw1B+709+oMrlHk4bCkwM3dFj2ioRKG2p7xsIVX94xLXMke8Mlae7TeRoKT47bUHFClQ1dPW52W16gCjZ09HeVFC840FA4cdiGqhOqbKjtmAoD22aakg0dHdO8Q0pD4clRGypPqLCh64dN8mS+bEPDn7viYpmGwoljNnT00qMqocUbKjmohRsaXxO17TQ0FJ4csqElEips6MZMdumcdY1XuKHx8j4/9DQUThyxoaMfatQlVDBkP1HLNuc8NFT3ggMNhRMHbOjwUmjm+8dTNLTTj6gYkobCieM1tFBCBUOGyWxzzq7xaGg6Ggq9wzW0VEJpaE92sUxD4cTBGlrk3aST/CHDi4m2OSfL0xUauvU1XISGwpNjNbRgQoUN3X9fPuugCo7k09PDw93mFP2IXIfiQA7V0JIJVQzZT7Z52PZvvUz+kP0M25E8c/NFaCg8OVJDh4RqfknmlGDI3WfrYfqs0fOH3H9FIQyZH3oaCieO1NDwWl3eVdIWXUPXX0ysq6EbL3jSUBzOgRpaNqGKIXd/Qn0/XhfKH3J3xjhkfuhpKJw4TkPD4i+UUMmQ/Xwt2xyTXOEphuynaNnmRBhSEHoaCicO09C4vAslVDJk6PzKjJIrPMWQYZC1P9y92y5HQ+HJYRraD9QqlVDJkHHKRSk1l6GKIeP1/LLm8SbbTkRD4clRGrqz8kUkDd0aM15FZ46vGDJcbC6+G8UhFaGnoXDiIA1VNWiHpKExUNNBVXWSDBmHmUU0jp57qU9D4clBGhqv73ZlBVbT0BiocYmG6W1HMsmQMZbjP+Dhtyllf5+iofDkIA3txzmrgoaOItrc9cfvadT/7KtozZBDLu8e+pHGM4qGpKFw4hgNHYVpTw0N3Zs1u06qIYeILomGpKFw4hgNveypfB0N3Y5ofp1kQ25HVDUkDYUTx2hoP815dTR0/NLimKBOuiE3Iir5yTEaCk9o6EglDV0tlOZYFg69IvM0FL7Q0JFqGrp49eH01k0+5ZAPs4qqZqShcKVMQ8W0eSpEPeTTw90pUvbet4R4yIcSM9JQuEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeNI39Ef/bd3+KUOKuBjyvd2QNBROfLw7X4HavGYnqBQNhR4NRZVoKJygoagSDYUTv92dr9/4TXX7xm7It9pGrRhSpR/yQ3aCStFQ6PG+vApDqvC+PDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4Umphj50j/tgG7lKrXwXQ77xxl33yM2dbWXxMyQNhROFGvrUPWzteXIxZBiz8obKh6ShcKJQQ09XJZXnycWQoU51N1Q/JA2FE2Ua2j9Jrj1PLoYMpa+8ofohaSicKNLQcFVSdZ5cDDmMWXVDCwxJQ+FEiYbGFVVznlwMORqz5oaWGJKGwokCDR1WVMV5cjFkKzxJrrqhJYakoXBC39ChThXnycWQLXvNtlNvQ4sMSUPhhLyhozrVmycXQ7bGc1bb0DJD0lA4oW7o6Jqk3jy5GLLTD2iqbWg/naGhOBxtQ5+GV8Y6debJxZC9yaC1NrTQkDQUTkgbOn5W16kyTy6G7E0nrbShpYakoXBC2NDZ9V2rwjy5GNL047Vdsv/Y3ix+hqShcELX0PG7s/bf+vLkYkhjA4bq19nQYkPSUDihauj4bZq7cHFSW55cDBnYk+SHkKkqG1puSBoKJ0QNHdfpKT7BqyxPLoYMrE5tlCpuaMEhaSickDf0rq1T9Q2teMjAotQOWnFDCw5JQ+GEuqGnIk028qkbWvOQxmbthqu3oSWHpKFwQtvQ/vquddqqtKF1D3kyPEmuuKFFh6ShcELZ0BCnqhta+5An/WT9k+SKG9qPVWpIGgondA0d4lRxQ+sfsmdXzKdha21o2SFpKJxQNfRhFKdqG+phyM74SXK1DS08JA2FE6KGznQP2qryaXLUj1jlkP1cTWNblTa0H6rckDQUTtDQ+oa0HoWL5jobWnpIGgonaGh1Q06fJFfa0OJD0lA4QUNrG9LqFJ4k19nQ8kPSUDhBQ2sb0mo0vP1VY0PLD0lD4QQNrWxIu8IbTVVhQ68wJA2FEzS0riEXT5JrbOg1hqShcIKG1jWktWj8g6z1NfQaQ9JQOEFDqxrS/u7PZKbqGnqVIWkonKChNQ1pT5KnJaqtodcZkobCCRpa05D9QNMnyfU1tJ+m+JA0FE7Q0IqGtBDNJqqsoVcakobCCRpaz5CrT5Jra+i1hqShcIKG1jNkP878SXJtDe1nucKQNBRO0NBqhrQMzetUV0OvNiQNhRM0tJYhN54k19XQ6w1JQ+EEDa1kSKvT8gqvpoZecUgaCidoaCVD2g+un5eVKT9D0lA4QUNp6OVoKDBHQ2no5WgoMEdDaejlaCgwR0Np6OVoKDBHQ2no5WgoMEdDa2no3ZZ+ypZtLn+u6AX8DElD4QQNrXvIVkU/H7qNnw/FUdFQGqpAQ3FUNJSGKtBQHBUNpaEKNBRHRUNpqAINxVHRUBqqQENxVDSUhirQUBwVDaWhCjQUR0VDaagCDcVR0VAaqkBDcVQ0lIYq0FAcFQ2loQo0FEdFQ2moAg3FUdFQGqpAQ3FUZRoqVmzlKzGkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8KRv6K/9Zd1+nyFF/AxJQ+HEx7vzFajNa3aCStFQ6NFQVImGwgkaiirRUDhBQ1ElGgov3tv6tdoxpIqbIe301KKhAJCOhgJAOhoKAOloKACko6EAkI6GAkA6GgoA6WgoAKSjoQCQjoYCQDoaCgDpaCgApKOhAJCOhgJAOhoKAOloKACko6EAkI6GAkA6GgoA6WgoAKSjoQCQjoYCQDoaCgDpaCgApKOhAJCOhgJAOhoKAOloKACko6EAkI6GAkA6GgoA6WgoAKSjoQCQjoYCQDoaCgDpaCgApKOhAJCOhgJAOhoKAOloKACko6EAkI6GAkA6GgoA6WgoAKSjoQCQjoYCQDoaCgDpaCgApKOhAJCOhgJAOhoKAOloKACko6EAkI6GAkA6GgoA6WgoAKSjoQCQjoYCQDoaCgDpaCgApKOhAJCOhgJAOhoKAOloKACko6EAkI6GAkA6GgoA6WgoAKSjoQCQjoYCQDoaigLe3nrv+yvHkCpuhvw7Oz+laCj0Pt4AFXrNTlApGgo9Gooq0VA4QUNRJRoKJ/5bd75+53fX7R8ypIifIX/FTlApGgq9P+nO1997o25/zJAifob8QztBpWgo9GioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKTKQRv62H3ZLduEFzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeHLAhj49Pdx1D9jc3T3YLgV5nkZjyuYs11Cb1bay0FB4Imto/8e/JbMBypX/dFrsgS6j4tA/9ONFkjgVbOhTPyUNzUBDnVI11NbQhmoaOitoR1XRgqHv6fJUoKHhj5+GpqOhTqkaOrtsmqmloetTaq7xhHnaGPPJbs5QqqGh+Qdt6PPjff/l398/Ptquhcd7u8/j47PtmtI19Ll/qHYY2zaP67uX7Mu54J5bMiZ4Pt2pO062p3aHaujK1d2JoE7CPBUcs1BD47OQIzb01IvBWiGssdFaHsLD2GbLPujeNgfPpxuaGOPxxz4Pn+t+qPVkyvkjTh5v8uWMHmFf5gTB6ENbdpjGj90Kd1l5jPjRl46toGpoP/imOhq62SZJRGV5KjlmmYYOL+Qcr6EhP2PzxT3pgllWdFaKln3cyxo6LtXwsdO988aMHm/x9WzVbiZzgpNpQTv9vUaP3YkjLkbbvqWkAzV09JLtQx8je9+7I1j7qjyNhnqSj1mmodLj6Kqhy0Xfm/RhUSUzj8isFK2Uhs4HOn3wcszVEZ/Xhr2sR5kT9OaZ7XQfPT8yccjZQ8T9l42sImro/ltKVTR0GHF0NRdXf/7iF+UpvigyevlzeIsp80CWaejodZyDNXSlOL3x2l7GI5itdElDl5+t++i1GcYzxsdb/YIuKlLmBJ21+/QfvTgy8Z62fTIMbzuuRNRQW0aSJbQkWfmhQ9MZY1kreZoc55mOGSNq26lKNHT8/fNYDV1f9K1RHTbv05rGSdHQtQY+rs8wftT4ePbfmXns1mRO0No6UvfbR2b6EPEBLplXSNvQ3MukDYqVH1e6bQfhIip79WvyFGI5P5Jb+1+oREP7ucyhGrq16MeLePs+nUkCFA019/YzACfxxnb3aP/oFdl5+KZ3XBlgKXOC+QOM72hv1E8uL23P+CHi/a+cUFVD+9klb82sUaz8EKHFiOEG20wmyVMo/bJFmze8SIGGxkvkzpEaOl709uNK4e33uIrHITm9X/+8+fb0shT20S9saJjFNgPbPbyCO3rYSUNjlobhJ7FblznBeIT4Xn44nOEDbHcn3j3cd9hzSfGljtLQEKflddz2LS8jyVM/yWqKNKnXN3T8TP5QDR0t+riOW304YgT6m3vjDI12jz407LXNVkiIbQ7C544fvfqIQwNbK7ttuzUOmO3qvCRLmRPEC8vx/VqTR7B9vfj5bPsFs04ec9dlOdY0NCwk21QTrPzwlH2l8lan3OWvyFM4jmvfi+ymvNTrG9oP1R49+4/tzeKjof3X25kvtHaJhgzYPVbvY4ZiaBo6KtCojJMwhU8+ZH245/Rzxf22vSNzgvjh20dqNkW44fQBw2fqN3eNH3Lf8sivkTY091Jui2Dl9/O1bHOsoobuvawsGVPeUJsq/OTAcRq6uei79Wy9iIt1eZ+VmyQNndx3iMVkd7jzsHMo0Lh0rfAItrkjb4I4wORuveEhZlOEG/oQx3vNvoA1o0c8YznNGk1Dy76lJGzo2oThEtU2Uyny1M+x8ZJIO2b3LzjlvVyibmj85nm0hu4s+vbG00Levc9y0UsaOklI3Dsri+0cHjdOOn/hMzzCfP9S3gTxfrY9NiTPdpg4dPvQL0lopQ0NVyO2qSZY+TsT1tNQK5IkROvEDR0GPlpDw6LfW2Vhra7fJ9wa8xQe0jZbdpflx2831LaN7ZzvDp/aNqc5mrL9L2iobRvbeW4C21xPoN02f4w49f0w/0XRC5/8vGs2tP+ExV4O1az8p4eHu9UJ62moTVLqW1FL3NDhO9PRGtp/ta296x67y8Z94rq3bUlDZ60LtZjtXnymxSyR7b+8oUkTDDVcE5tn21G4Id7hsubFu591xYaGt0JsU0688mdEy18wZD+Ho4Za87sXSA7W0LDo99oSOrG1EMPtIYSLsoXFfr2GLr+czRHmsiYImxvfkezWRUMXNbTdZ8w/atv1G1rq5dDCDe1nz58+f8jS34pa0iM5funhYA09s+h7Yana5sI8XIuybQdss6GzecIIs92LDxc2NGmCM4dq++Zwy8nsk1yLpKGj65EiijY0PJXPvfqTNbTYYWxJj2Q/rR24gzW0/2JbtrnqbH5Ot8cHKdDQjd1XbOhlE9jW1mdZHpkgPE5v9jmuRtJQW0D9Yirxy4pKNjRc/GVf/eUPWfpbUUt5JCev3h6zocvmjJy9zywNy1K8vKG2GWzs3mzoskIvbqhtBpdNYFtbh2rjQTqjiJ6fsRBJQ/svoavQ7LcA1fhrNuZs8eeXS9bQeEFs344q/W40fiZ/tIZuN2fE7nO+ofYoy1IcpaHnDme43TYnbMAbJlTS0Pg63rSgHcXvryjZ0HgVmr/484e0Dp0O2fTbUYXfjfq54uU7DZ07f5/ZPWjo8tMbu922JmJDV2+9CmVDVylWVamGjn71W37r84fsBzlVaflL6Wr7bjQJPg1dOn+f2T1o6PLTG7vdtsaGhN7uQlTR0OXl55hgWZVo6NPkQk8QKGVDV78rVfXdaPpMnoYunb/P7B40dPnpjd1uWyPh4Xu3imj5hgoCJW9oP9aI4hove8j4kkgI0lxF342GWc0xG7r3ntL5+8z6sszNURp67qXjcG/bHIQbzGaDp0bXrmdcVmVFQ/tPZ+5Of6E7vDvfy15YhRuqea1R19CNhCoKpTqSNuLwvedYDT3/flHr7H1mfVnmhoaehHvbZhT2R5dFtO6GTl60G1KQu7LUDZ0+VZase2FD43T2m/NGl/m1fDeyEUfffA7W0EvScrrLcuVHswc5cEPPfJaNB4lHeGip3bDPPtsFzn/ZHUFDhyLNnhIPN2Re6ZVt6Cz9qWQNNaOZhormXjJrjmSY1DY7x2zo7poNK3/z4shuP9vQ5WdZPPRGZTZ219rQ5Rd6YrfObw4f9Qr8myNxhS9KNFTBdiQq3VDJ2tc2dDqQ6kCKjuTimfzhGhrSsPdkPizsrfuEpRxuX+ZmI0ArN2zcc2N3dQ0N91o/VLGQtm2GhI7uckn1Km7oysVcXPt510/qhq68CZZ/KSpt6LxF8bbMSEmOpB2+yZ/pwRp6/ol6y+6yUqbOogzL3GymxfYPd80q2MqO6DoNnV+ST4XHmD5IPH79Y8Qurh/siQob+kb3r8rdrSU0Lq3MtSVv6MNTP+34ja/1+V9A2dDl4Yo32nYixZG0UaYzHq2h44ugLWHtr99n8QjL3IRMbDV0eOC8gt2+oeFgrBUwxnLyIHGvfUgM49pDTMW7nnX+y+4oGrqnH6WVdSGqbujIcEmau/yVDbU9Y2HQ21/R92PMv+ccraHzJTyh+nfsty7PwgMPbfXe0HC3+f06Q/JsRyce23gMbPvC7imVbqhk6Rds6OhvBGWuf2FDVw+W3ZY3peBI2vGazXi0hu5d98h+n1K81+xC1PaOPnVewW7f0J0CxiO1emSG+8eqnp9VrHRDJUu/ZEOH1xsyn80LG2o7psKYtpkm/0iuPpM/YEPjql+s2TYbloa4rBf3GcJgO1oruQm7pnGLH2zbrcyC3b6h8SvdPlLjB1k5BMPRXrz0UVjxhiqWftmGxtcbbnyJFxu6fs1eyRV9P8Py+83xGhpXfXM/XrT9Sg5piMt6urCHDx3vXsuN7ZrULfbjzMe2NnYvCrbYEV2rocNXdT8e4nmc0OFB4t7JwOt7y6Oho9dEbTtN6YaGet22ofbHubhkP15DhyXbVfTUs2dLRlzE4wQ8nl4mfRzvG7dpLTdhXwx1+AydfsfJRqo2dtfY0LCnFb8nhS82HDHbPdx3Nm88ssuvo6TiDQ2BynmiXLihsfO3zVNs6MahUmQqd8iNZ/KHbOgkkFPDGt6+T2eSptXc2L4141BkFqyChk6P1H3L/rdrqv2P3TMmdDFV+Jjz4yrR0FZdT5O3LocraGjI/PIP84gN3Q7kVhpmpkt9NTexFwvn++uroZtH6n72INsJ3bupIBra6Se88SWeh4bGVz3OyR/SQ0M3l/0laVgs9PXcxCzMTD84s2BrSTu5YkM3jlT7qacPEu+2nHY4WqPXioujoZ1+wps31CK51VA7kjQ0nbqhs/c8osnq3qrgPAFncjN1UX8vLthq0nrXbGi881j3mScPspfQ0UOs3loGDe1UcInXoqEnjhq6vu7nC3irDVOTUoysdXp+mbXxsRu7a23oypfaf6HjBwn/v3WlGR/Btq+AhnbO1Osi+UOGQ2WbczyXz1agoe2qni38x5VLoLjyTyY/DRVs5KZ1/jNsfOzG7mobOv9S7QsdPUj4wO2JwgOcH1lF0NCnp6eHlm3NnQnDRQQN7Wa823zTqJ/w5tehZ77dWENv+cYXDV33GN5Fvl8LaO/50fJwvxrQcy74DK+K8KW6+ULzG9p/vdurxm6+cUP7Ec4OeeOGhjE2Krl/62VoKCCW39D958Hhp2FuufJb+8+DKxlyf8rtnyt6gdyG3m3pR2vZZv6QNBRO6Bq6HqAzz08vI2to3aHfn7KGhm7bzf8L0VB4kt/QUMn15WM3Zj2VF6z8MOR6JUO7bp2n3Sn3vw1ciIYCYoL3lLpH6NjmhOQKT7Hy+ylatjkRhrx9nvopWrY5Vs2RXEdDcVSChoYLpLX1YzflXeEpVn4Yci1Be7ddTpGnnWv6MOTNj+Q6GoqjEjQ0LPyV5b2X1xcQrPydIeNNtp1Ikqd+jtZiSs1lKA0F1AQNjQt/EaGQ0MyLJ8nK38x5fCZfQ562Uh+HrOBIrqKhOCpFQ+PCn/1IS0xoZp0kKz9WaLbM45C5y1+Tp/VvO6rO01BATdHQYeGP13hc9/kLS7Ly14cc9mZe4YnytHrU4jepzJcbaKj9F9CRNHTUp+ahb9HTsOzzF75o5Q9D3q0MmZtQVZ6GiLZj9jtGU9Yy5BINxVFpGjpa+EvZC1+18kelX6hmyL1jWc+QCzQUR6Vp6Pg58UzeX/s7Ua387YhWNOR2RGsaco6G4qhEDd3sk25RHWbIrW9IgoTSUEBN1tD1la9Y98XzVNuQq63PfUf+hIYCYrqGvvHGw2zpK57G95Qrfz7k6e0lAW2exm93tVRT0lBATNnQ1sOD/TNo9ta3hnjluxjyjacSUxZrqBINhSfihpbhZ+UzpAANhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe0FAVhlShofCEhqowpAoNhSc0VIUhVWgoPKGhKgypQkPhCQ1VYUgVGgpPaKgKQ6rQUHhCQ1UYUoWGwhMaqsKQKjQUntBQFYZUoaHwhIaqMKQKDYUnNFSFIVVoKDyhoSoMqUJD4QkNVWFIFRoKT2ioCkOq0FB4QkNVGFKFhsITGqrCkCo0FJ7QUBWGVKGh8ISGqjCkCg2FJzRUhSFVaCg8oaEqDKlCQ+EJDVVhSBUaCk9oqApDqtBQeEJDVRhShYbCExqqwpAqNBSe9A39D5+u268zpIifIWkonPh4d74CtXnNTlApGgo9Gooq0VA4QUNRJRoKJ2goqkRD4cXPtD5RO4ZUcTOknZ5aNBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUANLRUABIR0MBIB0NBYB0NBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUANLRUABIR0MBIB0NBYB0NBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUANLRUABIR0MBIB0NBYB0NBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUANLRUACvul+JbIcQDYVcE3zddgA39XU7IZvmrbZHiIZC7W12ujbN12wPcFNfsxOyad5me4RoKNS+1U7Xpvmq7QFu6qt2QjbNt9oeIRoKtW+307VpXrc9wE29bidk03y77RGioVD7Ljtdm+Yrtge4qa/YCdk032V7hGgo1N5up2vTfMn2ADf1JTshm+bttkeIhkLtu+10bZov2h7gpr5oJ2TTfLftEaKhUPseO12b5gu2B7ipL9gJ2TTfY3uEaCjU3mmna9N8zvYAN/U5OyGb5p22R4iGQu377HRtms/aHuCmPmsnZNN8n+0RoqFQe5edrk3zGdsD3NRn7IRsmnfZHiEaCrV32+naNM+2B7ipZzshm+bdtkeIhkLtPXa6Ns2nbA9wU5+yE7Jp3mN7hGgo1P6lna5N80nbA9zUJ+2EbJp/YXuEaCjU/o2drk3zn2wPcFO/aydk0/xr2yNEQ6H2c3a6Ns2v2x7gpj5mJ2TT/JztEaKhUPslO12b5iO2B7ipj9gJ2TS/ZHuEaCjUftVO16b5sO0BburDdkI2za/aHiEaCrXftNO1aT5ge4Cb+oCdkE3zm7ZHiIZC7RN2ujbNT9ke4KZ+2k7IpvmE7RGioVD7Iztdi/wwHvBy93ZCNs0f2R4hGgq1P7PTtWl+0PYAN/VDdkI2zZ/ZHiEaCrXP2+la5B+8BV7uHXZCNs3nbY8QDYXa39vp2jTfYHuAm3qrnZBN8/e2R4iGQu7b7Hxtmi/bHuCGvmynY9N8m+1RoqGQ+147YZvmL2wPcEN/Yadj03yv7VGioZD7YTthm+bTtge4oU/b6dg0P2x7lGgo5H7CTtim+QPbA9zQH9jp2DQ/YXuUaCjkfsZO2KZ5v+0Bbuj9djo2zc/YHiUaCrlfthO2aT5oe4Ab+qCdjk3zy7ZHiYZC7vfthG2ae9sD3NDw15T+i+1RoqGQG357TYHfRAu81PDbukv8hi8aCrm/tRO2ad5qe4AbGn7E/m9tjxINhd7wQ/YF/mod8DLDXz4u8SP2NBQF/KCdsk3zZHuAm3myk7HQP4JDQ6H3z+2UbZrftj3AzfyWnYxlfjyUhqKAX7RTtsivAANeZvgliUV+OQ0Nhd5v2ynbND9ie4Cb+VE7GQs9LaKh0PtTO2Wb5jtsD3Az32knY9P8qe2RoqHQe8NO2dbnbBdwI5+zU7H1hu2SoqEoYPih5gK/Awx4ieF3JJb5Kx80FAX8pJ20TfOztge4kZ+1U7FpftL2aNFQFPAxO2mb5l22B7iRd9mp2DQfsz1aNBQF/LmdtK2/tl3ATfy1nYitP7ddWjQUJXyLnbVN8zu2B7iJ37ETsWm+xfaI0VCU8D47bZvmx20PcBM/bidi07zP9ojRUJTwG3batv7SdgE38Jd2GrZ+w3aJ0VCU8Fk7bZHqbT/w839jB7P1Nz//A2+zG5Dqs3YwxWgoini3nbdI900PdjDffPgm24V077aDqUZDUcRH7cRFjg+dDua/s03k+OjpYMrRUBTx+jfbmYsc/7k7lv/TNpDjm1/vT0w9GooyfsFOXeT4ri+9+ebf/WPbQI5fsBNTjoaijL/7R3buIke78vlupNB9NyqDhqKQ/2EnL3J88+u8KiLRvypSBA1FKVw/KXyUd+cU7N25EmgoiuEncgTezU+J5Rt+SqwAGopy/ubnv5+fDMeNve37x39bQY+GAvUZ/Q3FAX9rtko0FKjQj1k3R37MbkJdaChQoeFfbIv4VwTrREOBCo3+5eCAf826TjQUqNHwGywMv1WlUjQUqNHwm9QMv92vUjQUqNHwG33Nf7UbUBkaCtToryyd0V/ZDagMDQWq9B3WTvMdthu1oaFAlX7E4ml+1HajNjQUqNJrFk/zc7YbtaGhQJV+y+Jpfst2ozY0FKjSk8XTPNlu1IaGAlX6vMXTfN52ozY0FKjTW62evbfaTlSHhgJ1eqfls/dO24nq0FCgTveWz9697UR1aChQpw9aPnsftJ2oDg0F6vR+y2fv/bYT1aGhQJ3+wPLZ+4TtRHVoKFCnT1s+e//HdqI6NBSo019YPnv/13aiOjQUqNOXLZ+9L9tOVIeGApUa/ZD9N9gu1IeGApV6hwW09XbbhfrQUKBSP2QBbf2g7UJ9aChQqdFfVHqP7UJ9aChQqZ+2gLZ+ynahPjQUqNQHLKCtD9gu1IeGApX6sAW09WHbhfrQUKBSH7GAtj5iu1AfGgpU6mMW0NbHbBfqQ0OBSv2uBbT1u7YL9aGhQKU+aQFtfdJ2oT40FKjUpyygrU/ZLtSHhgKVeraAtp5tF+pDQ4FKfcYC2vqM7UJ9aChQqc9aQFuftV2oDw0FKvU5C2jrc7YL9aGhQKW+YAFtfcF2oT40FKjUFy2grS/aLtSHhgKV+pIFtPUl24X60FCgUl+xgLa+YrtQHxoKVOp1C2jrdduF+tBQoFJftYC2vmq7UB8aClTqaxbQ1tdsF+pDQ4FKfd0C2vq67UJ9aChQq/jLkd9hO1AhGgrU6n2W0OZ9tgMVoqFAreI/fve/bQcqREOBan3olNAP2SZqREOBen3qfe94x3v5B5irRkMBIB0NBYB0NBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUANLRUABIR0MBIB0NBYB0NBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUANLRUABIR0MBIB0NBYB0NBQA0tFQAEhHQwEgHQ0FgHQ0FADS0VAASEdDASAdDQWAdDQUQOf5+fG+6dzfP9ouXICGAnjzzcc+nwMyeikaChTVXdw9PttGrZ6tnGP3dhv20VCgpNPT46buiNqQc7WXvw40FCgo1sm2a7R2EXrCpegFaChQkMWo5tcXtxNKRC9BQ4Fyhndq6m3o5In8/f30eT0RPYuGAuUMDa02RqM35MNbX/YzTj1eEz2HhgLlDM+Ta70OHSYcV359L9bQUKAgK1G97ynFy9DZBWe8FOUHRc+goUBB4YKu1qfE8YJzMWCIKBeiZ9BQoKTnrkX31b6qGC5Dl6WMdbVtbKChQFnPNb8tE642V2YMN/Fkfh8NBQ7MOrl6sWk38WR+Hw0Fjis8YV+91rQLURq6j4YCx/V4f7L6ckN4Mm+bWEdDAawK7zfZJtbRUACraOhFaCiAVTT0IjQUwCprKO8p7aOhAFadEsrPh55BQwGsqf2vqdaChgJYw8uhl6GhAFaEy1BeDj2DhgIXO/3jxPezX9Npv5d9vvtSj6d/Oj71wwvZ/gedMEVDgR0Wkv59lfDktjV6n2X8j74vg7P2oqJ9QH+B1/+zTlE9b9/EhHIZeg4NBXZYSdq4TWsXojjbu0jOmYbOPrqSq77n0XeLKgaqGg0FdlhJHocLs6CPy2LvPKL7DV0k9ObNen6cXFeT0PNoKLDDUvK4jGWXl5W9s4juNnQlobeu1mwkEnoeDQV2WEumF2dmNaGz7uw1dPSMeWT+asB1Tb9OEnoBGgrssJiY+8lvX48b3b8eZ//bsQ/t7TQ0mH30bcM1+fpsH3bRUGCH5aRzf3rXfPEukr2ZPlxVjiN4rqHxX+4cXdPanptYnQ17aCiww3LSGq7KJk/hV3aPf0LpTENXd59L1+Tz73txBaffILgSvQANBXZYTKY5GYVmvDu2zbY7+w2dJi7sP/dTotdrKBG9AA0FdlhLpjUaRWwSKds33rnb0Fmhwn1v2dCO/b2rHhE9i4YCOywls5bYzvnu8JLopQ217ch2n3tBtHRDW8OLvkT0HBoK7LCSzK4N4/tH090rF5J7DV3kKTysbW65QkNHoT93VXx4NBTYYSGZZS1WzLYD23thQxd1qqmh21fLmKKhwA7rSJGG2uZg7c4rrtPQ7dRjgoYCO6wjs6fdoWLzZ+OWndHuEg29FpuGV0T30VBgx0ZHNna/Wg3dnBNjNBTYYRmZP5/d2P2ihi6v7ypr6NZXiQkaCuzYyMjG7lezoctBMUJDgR2WkWM2dHNQjNBQYMepIgdt6IU/a3VwNBTYYRWhodhCQ4EdVpGqGhrudoG8GtPQS9BQYIdVhIZiCw0FdlhFXtGGdv+Efmv+ZQQ2KA3dRUOBHVaRV7Shdq/lJCdnbkaPhgI7LCOv6nWo3c02Z8Ln2bpMRY+GAjs2MrKx22tD1ysZXg498yBHR0OBHZaRV7ShoZLLUVrx09g21tFQYIdlpKqGCtknXL0Q3b9IRUBDgR0bHdnY7a6hoZMrn3LnJozRUGCHdeRVbWi8EN36UtbGxAQNBXZYSF7ZhsZUNvfjzxomaV1xGJ9oKLDDQvLKNnQU0Sb8rP3zqKCLLxFzNBTYsVGSjd0OGzruZev+fhTV1nJIzNBQYIel5NVt6DyiUyT0PBoK7LCWvMINffN5euU5Nv/6sIKGAjs2YrKx22VD40AL157DJxoK7LCavNoNXb8U5SL0MjQU2LHRk43dXhu6UlGuQS9FQwF0nh9P78nf3z8S0BegoQCQjoYCQDoaCgDpaCgApKOhAJCOhgJAOhoKAOloKACko6EAkI6GAkA6GgoA6WgoAKSjoQCQjoYCQDoaCgDpaCgApKOhAJCOhgJAOhoKAOloKACko6EAkI6GAkA6GgoA6WgoAKSjoQCQjoYCQDoaCgDpaCgApKOhAJCOhgJAOhoKAOloKACko6EAkI6GAkA6GgoA6WgoAKSjoQCQjoYCQDoaCgDpaCgApKOhAJCOhgJAOhoKAOloKACko6EAkI6GAkA6GgoA6WgoAKSjoQCQjoYCQDoaCgDpaCgApKOhAJCOhgJAOhoKAOloKACkewsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAu8Ja3/H+npqQ98UMv3AAAAABJRU5ErkJggg==\" alt=\"A 3-by-4 matrix. Beneath it is a 1-by-4 row vector with the maximum value of each column of the matrix independently. Beneath that is the single minimum value of the row vector.\" data-image-state=\"image-loaded\" width=\"337\" height=\"279\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 81.7333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 40.8667px; transform-origin: 404px 40.8667px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 120px 8.5px; tab-size: 4; transform-origin: 120px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eA = [5 3 4 3;1 2 6 3;1 1 4 4];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 56px 8.5px; tab-size: 4; transform-origin: 56px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em = minimax(A)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    3\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 371px 8px; transform-origin: 371px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNote that your function should work for matrices with one row or column (ie vectors) and scalars (in which case m = A).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 284.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 142.25px; text-align: left; transform-origin: 384px 142.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 583px;height: 279px\" src=\"data:image/png;base64,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\" alt=\"On the left, a 3-by-1 column vector; underneath is the scalar maximum value; under that is the minimum, which is the same value. On the right, a 1-by-4 row vector; underneath that is the same vector (representing the column maximums); under that is the minimum value.\" data-image-state=\"image-loaded\" width=\"583\" height=\"279\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function m = minimax(A)\r\nm = A;\r\nend","test_suite":"%% Check various size matrices\r\n    A = [0.57 -0.74 -0.46 -0.7 2.06;-3.44 3.36 -1.14 1.94 -3.91;0.62 2.31 2.76 4.45 -1.1;1.95 -1.4 2.34 2.84 0.91];\r\n    assert( isequal(minimax(A),1.95) )\r\n    %%\r\n    A = [-2.71 1.69;3.34 0;-4.84 -2.82;3.64 0.72;-4.22 -3.78];\r\n    assert( isequal(minimax(A),1.69) )\r\n    %%\r\n    A = [-4.44 1.17 0.17 4.17 0.86 4.39;-4.44 0.2 -3.57 4.87 2.63 0.9;-3.47 3.64 0.59 0.05 -4.17 -0.59;-4.8 -4.02 -4.95 -2.29 1.62 4.42;-0.65 4.08 2.67 -3.99 0.17 1.56;3.32 -3.92 3.49 0.08 -3.29 -0.48];\r\n    assert( isequal(minimax(A),2.63) )\r\n    %%\r\n    A = [0.54 -3.87 -1.4 -0.75 -1.06;1.8 -0.56 -3.6 -3.81 -4.97;-1.33 -2 -2.4 -0.05 -2.79;-2.61 -0.99 -4.13 2.06 -4.99;0.79 3.33 -0.71 -2.56 -3.11;3.67 -0.96 -2.43 2.85 -3.58;-0.93 -1.1 -2.02 -4.26 -2.32];\r\n    assert( isequal(minimax(A),-1.06) )\r\n    %%\r\n    A = [0.99 -2.79;4.01 -0.17;4.39 -1.24];\r\n    assert( isequal(minimax(A),-0.17) )\r\n    %%\r\n    A = [-4.32 -0.69 2.06;-0.64 4.62 1.45;-3.26 2.62 0.52;-4.74 -4.93 -2.82;4.55 1.8 2.72];\r\n    assert( isequal(minimax(A),2.72) )\r\n    %%\r\n    A = [3.91 -1.82 4.09 3.53;3.56 1.09 0.92 -0.58;-0.98 4.1 -1.67 4.04];\r\n    assert( isequal(minimax(A),3.91) )\r\n    %%\r\n    A = [2.16 -1.63 -1.78 0.49 0.53;-3.21 -3.12 -0.96 -4.51 -2.25];\r\n    assert( isequal(minimax(A),-1.63) )\r\n\r\n    %% Check row vector\r\n    A = [3.19 2.28 -3.24 -1.4 -3.11 -4.99 -1.84 2];\r\n    assert( isequal(minimax(A),-4.99) )\r\n    for k = 1:5\r\n        n = randi(7);\r\n        A = rand(1,n);\r\n        assert( isequal(minimax(A),min(A)) )\r\n    end\r\n\r\n    %% Check column vector\r\n    A = [0.43;-0.61;-2.13;0.02;2.62;2.62];\r\n    assert( isequal(minimax(A),2.62) )\r\n    for k = 1:5\r\n        n = randi(7);\r\n        A = rand(n,1);\r\n        assert( isequal(minimax(A),max(A)) )\r\n    end\r\n\r\n    %% Check scalar\r\n    for k = 1:5\r\n        A = randn;\r\n        assert( isequal(minimax(A),A) )\r\n    end","published":true,"deleted":false,"likes_count":8,"comments_count":3,"created_by":287,"edited_by":287,"edited_at":"2022-10-03T14:28:07.000Z","deleted_by":null,"deleted_at":null,"solvers_count":692,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T15:15:22.000Z","updated_at":"2026-10-28T12:49:10.000Z","published_at":"2022-10-03T14:28:07.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a matrix A, find the maximum value of each column, then return the smallest of those maximum values (ie return the minimum of the column maximums).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"279\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"337\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A 3-by-4 matrix. Beneath it is a 1-by-4 row vector with the maximum value of each column of the matrix independently. Beneath that is the single minimum value of the row vector.\\\"/\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=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[A = [5 3 4 3;1 2 6 3;1 1 4 4];\\nm = minimax(A)\\nm =\\n    3]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that your function should work for matrices with one row or column (ie vectors) and scalars (in which case m = A).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"279\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"583\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"On the left, a 3-by-1 column vector; underneath is the scalar maximum value; under that is the minimum, which is the same value. On the right, a 1-by-4 row vector; underneath that is the same vector (representing the column maximums); under that is the minimum value.\\\"/\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\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image2.png\",\"relationshipId\":\"rId2\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null},{\"partUri\":\"/media/image2.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55225,"title":"Simpson's Paradox - Calculate correlation coefficients for groups of data","description":"Simpson's Paradox is a statistical phenomenon where groups of data can have a characteristic while the whole data set together has the opposite characteristic. In the example below, both groups have a negative correlation between x and y, but collectively there is a positive correlation.\r\n\r\nWrite a function that takes three vectors as input: x, y, and g. The vector g will contain only the values 1 and 2. The function should return three outputs. These outputs are the Pearson correlation coefficients for three different groupings of the data, which are: (1) for all x and y, (2) x and y corresponding to elements where g has the value 1, (3) x and y for which g is 2.\r\n[c,c1,c2] = groupcorr(x,y,g)\r\nc =\r\n    0.8800\r\nc1 =\r\n   -0.6800\r\nc2 =\r\n   -0.4396\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 701.533px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 350.767px; transform-origin: 407px 350.767px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 376.5px 8px; transform-origin: 376.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSimpson's Paradox is a statistical phenomenon where groups of data can have a characteristic while the whole data set together has the opposite characteristic. In the example below, both groups have a negative correlation between x and y, but collectively there is a positive correlation.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 352.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 176.25px; text-align: left; transform-origin: 384px 176.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 463px;height: 347px\" src=\"data:image/png;base64,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\" alt=\"A scatter plot of blue and orange points. The blue points are near the origin and appear negatively correlated. The orange points are further from the origin and also negatively correlated. Best fit lines go through each group separately. Correlation coefficients of r = -0.68 and r = -0.44, respectively, are shown. A black best fit line is shown for all the data. It has positive slope. The correlation coefficient is r = 0.88\" data-image-state=\"image-loaded\" width=\"463\" height=\"347\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 84px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 42px; text-align: left; transform-origin: 384px 42px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 363px 8px; transform-origin: 363px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes three vectors as input: x, y, and g. The vector g will contain only the values 1 and 2. The function should return three outputs. These outputs are the Pearson correlation coefficients for three different groupings of the data, which are: (1) for all x and y, (2) x and y corresponding to elements where g has the value 1, (3) x and y for which g is 2.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 143.033px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 71.5167px; transform-origin: 404px 71.5167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 112px 8.5px; tab-size: 4; transform-origin: 112px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e[c,c1,c2] = groupcorr(x,y,g)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    0.8800\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec1 =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e   -0.6800\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec2 =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e   -0.4396\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [call,c1,c2] = groupcorr(x,y,g)\r\ncall =   % correlation coefficient for all x \u0026 y\r\nc1 =     % correlation coefficient for x \u0026 y for which g = 1\r\nc2 =     % correlation coefficient for x \u0026 y for which g = 2\r\nend","test_suite":"    %%\r\n    x = [0.93;0.32;0.18;0.2;0.57;0.6;0.96;0.65;0.75;0.65;0.75;0.96;0.01;0.11;0.3;0.66;0.81;0.87;0.96;0.72;2.64;2.72;2.47;2.33;2.44;2.73;2.99;2.68;2.79;2.17;2.03;2.8;2.9;2.02;2.49;2.53;2.6;2.05;2.9;2.73];\r\n    y = [0.71;0.84;1.21;0.59;0.52;0.49;0.48;0.64;0.82;0.26;0.63;0.14;1.18;1.2;0.87;0.42;0.58;0.48;0.78;0.72;2.62;2.52;2.84;2.41;2.64;2.82;2.96;2.73;3.27;3.09;3.25;2.6;2.39;3.12;2.76;2.39;2.43;3.26;2.55;3.06];\r\n    g = [1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.879811557106905) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.682850785069857) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.443669568699530) \u003c 1e-10 )\r\n    %%\r\n    x = [0.19;0.62;0.44;0.79;0.78;0.27;0.28;0.8;0.96;0.88;2.36;2.5;2.68;2.71;2.37;2.56;2.5;2.01;2.77;2.88;2.36;2.62;2.08;2.37;2.93;2.65;2.4;2.79;2.32;2.57];\r\n    y = [1.21;0.59;0.86;0.32;0.76;1;0.69;1.07;0.47;0.68;1.27;1.7;1.31;2.12;2.21;1.99;1.74;2.29;1.69;1.81;1.93;2.05;2.24;2.37;1.88;2.25;2.24;2.22;1.87;2.05];\r\n    g = [1;1;1;1;1;1;1;1;1;1;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.813840950727923) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.582326584401800) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.269801548840031) \u003c 1e-10 )\r\n    %%\r\n    x = [0.7;0.29;0.23;0.55;0.72;0.42;0.98;0.68;0.48;0.39;2.34;2.73;2.44;2.06;2.4;2.74;2.18;2.18;2.53;2.53];\r\n    y = [0.04;0.84;0.88;0.24;0.08;0.2;-0.56;-0.17;-0.06;0.55;0.81;0.64;1.06;1.66;1.13;0.41;1.4;1.86;1.3;0.95];\r\n    g = [1;1;1;1;1;1;1;1;1;1;2;2;2;2;2;2;2;2;2;2];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.578088106597685) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.909415164856844) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.852572691472539) \u003c 1e-10 )\r\n    %%\r\n    x = [0.7;0.29;0.23;0.55;0.72;0.42;0.98;0.68;0.48;0.39;2.34;2.73;2.44;2.06;2.4;2.74;2.18;2.18;2.53;2.53;2.63;2.85;2.72;2.61;2.72];\r\n    y = [-3.02;-2.47;-2.52;-3.24;-2.45;-3.28;-3.01;-2.75;-2.49;-2.44;-1.8;-1.88;-0.69;-0.37;-1.4;-1.53;-1.64;-1.46;-1.69;-0.58;-1.83;-1.88;-1.21;-1.58;-1.49];\r\n    g = [2;2;2;2;2;2;2;2;2;2;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.779096741082947) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.422371512501801) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.353473466432753) \u003c 1e-10 )","published":true,"deleted":false,"likes_count":8,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-03T14:22:57.000Z","deleted_by":null,"deleted_at":null,"solvers_count":476,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:27:02.000Z","updated_at":"2026-10-28T18:23:53.000Z","published_at":"2022-10-03T14:22:57.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSimpson's Paradox is a statistical phenomenon where groups of data can have a characteristic while the whole data set together has the opposite characteristic. In the example below, both groups have a negative correlation between x and y, but collectively there is a positive correlation.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"347\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"463\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A scatter plot of blue and orange points. The blue points are near the origin and appear negatively correlated. The orange points are further from the origin and also negatively correlated. Best fit lines go through each group separately. Correlation coefficients of r = -0.68 and r = -0.44, respectively, are shown. A black best fit line is shown for all the data. It has positive slope. The correlation coefficient is r = 0.88\\\"/\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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes three vectors as input: x, y, and g. The vector g will contain only the values 1 and 2. The function should return three outputs. These outputs are the Pearson correlation coefficients for three different groupings of the data, which are: (1) for all x and y, (2) x and y corresponding to elements where g has the value 1, (3) x and y for which g is 2.\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[[c,c1,c2] = groupcorr(x,y,g)\\nc =\\n    0.8800\\nc1 =\\n   -0.6800\\nc2 =\\n   -0.4396]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":2064,"title":"Generate this matrix","description":"Generate the following matrix.\r\n\r\n  n = 2;\r\n  out = [-4    -3    -2    -1     0\r\n         -3    -2    -1     0     1\r\n         -2    -1     0     1     2\r\n         -1     0     1     2     3\r\n          0     1     2     3     4];\r\n  \r\n  n = 5;\r\n  out = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\r\n          -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\r\n          -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\r\n          -7    -6    -5    -4    -3    -2    -1     0     1     2     3\r\n          -6    -5    -4    -3    -2    -1     0     1     2     3     4\r\n          -5    -4    -3    -2    -1     0     1     2     3     4     5\r\n          -4    -3    -2    -1     0     1     2     3     4     5     6\r\n          -3    -2    -1     0     1     2     3     4     5     6     7\r\n          -2    -1     0     1     2     3     4     5     6     7     8\r\n          -1     0     1     2     3     4     5     6     7     8     9\r\n           0     1     2     3     4     5     6     7     8     9    10];","description_html":"\u003cp\u003eGenerate the following matrix.\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003en = 2;\r\nout = [-4    -3    -2    -1     0\r\n       -3    -2    -1     0     1\r\n       -2    -1     0     1     2\r\n       -1     0     1     2     3\r\n        0     1     2     3     4];\r\n\u003c/pre\u003e\u003cpre class=\"language-matlab\"\u003en = 5;\r\nout = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\r\n        -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\r\n        -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\r\n        -7    -6    -5    -4    -3    -2    -1     0     1     2     3\r\n        -6    -5    -4    -3    -2    -1     0     1     2     3     4\r\n        -5    -4    -3    -2    -1     0     1     2     3     4     5\r\n        -4    -3    -2    -1     0     1     2     3     4     5     6\r\n        -3    -2    -1     0     1     2     3     4     5     6     7\r\n        -2    -1     0     1     2     3     4     5     6     7     8\r\n        -1     0     1     2     3     4     5     6     7     8     9\r\n         0     1     2     3     4     5     6     7     8     9    10];\r\n\u003c/pre\u003e","function_template":"function y = mystery_matrix(n)\r\n  y = 0;\r\nend","test_suite":"%%\r\nn = 2;\r\ny_correct = [-4    -3    -2    -1     0\r\n             -3    -2    -1     0     1\r\n             -2    -1     0     1     2\r\n             -1     0     1     2     3\r\n              0     1     2     3     4];\r\nassert(isequal(mystery_matrix(n),y_correct))\r\n\r\n%%\r\nn = 3;\r\ny_correct = [-6    -5    -4    -3    -2    -1     0\r\n             -5    -4    -3    -2    -1     0     1\r\n             -4    -3    -2    -1     0     1     2\r\n             -3    -2    -1     0     1     2     3\r\n             -2    -1     0     1     2     3     4\r\n             -1     0     1     2     3     4     5\r\n              0     1     2     3     4     5     6];\r\nassert(isequal(mystery_matrix(n),y_correct))\r\n\r\n%%\r\nn = 5;\r\ny_correct = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\r\n        -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\r\n        -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\r\n        -7    -6    -5    -4    -3    -2    -1     0     1     2     3\r\n        -6    -5    -4    -3    -2    -1     0     1     2     3     4\r\n        -5    -4    -3    -2    -1     0     1     2     3     4     5\r\n        -4    -3    -2    -1     0     1     2     3     4     5     6\r\n        -3    -2    -1     0     1     2     3     4     5     6     7\r\n        -2    -1     0     1     2     3     4     5     6     7     8\r\n        -1     0     1     2     3     4     5     6     7     8     9\r\n         0     1     2     3     4     5     6     7     8     9    10];\r\nassert(isequal(mystery_matrix(n),y_correct))\r\n","published":true,"deleted":false,"likes_count":15,"comments_count":1,"created_by":17852,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":870,"test_suite_updated_at":"2017-07-20T19:16:01.000Z","rescore_all_solutions":true,"group_id":31,"created_at":"2013-12-19T11:08:36.000Z","updated_at":"2026-10-28T18:02:09.000Z","published_at":"2013-12-19T11:09:22.000Z","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\u003eGenerate the following matrix.\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[n = 2;\\nout = [-4    -3    -2    -1     0\\n       -3    -2    -1     0     1\\n       -2    -1     0     1     2\\n       -1     0     1     2     3\\n        0     1     2     3     4];\\n\\nn = 5;\\nout = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\\n        -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\\n        -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\\n        -7    -6    -5    -4    -3    -2    -1     0     1     2     3\\n        -6    -5    -4    -3    -2    -1     0     1     2     3     4\\n        -5    -4    -3    -2    -1     0     1     2     3     4     5\\n        -4    -3    -2    -1     0     1     2     3     4     5     6\\n        -3    -2    -1     0     1     2     3     4     5     6     7\\n        -2    -1     0     1     2     3     4     5     6     7     8\\n        -1     0     1     2     3     4     5     6     7     8     9\\n         0     1     2     3     4     5     6     7     8     9    10];]]\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\"}]}"},{"id":54485,"title":"Dog Statistics","description":"The vectors ht and wt contains the heights and weights of 20 golden retrievers. In some cases, it was not possible to make both measurements, so any empty cells are represented by NaN (Not a Number). \r\nWrite a function that calculates the average weight of all golden retrievers within a certain height range. Your function should take the lower and upper bound for the height range as inputs. It should output the average weight of the dogs in that height range, as well as the percentage of dogs in that range. ","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 115px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 57.5px; transform-origin: 407px 57.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 39.5px 8px; transform-origin: 39.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe vectors \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 8px 8px; transform-origin: 8px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003eht\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 8px 8px; transform-origin: 8px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003ewt\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 299px 8px; transform-origin: 299px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e contains the heights and weights of 20 golden retrievers. In some cases, it was not possible to make both measurements, so any empty cells are represented by \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 12px 8px; transform-origin: 12px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003eNaN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 54px 8px; transform-origin: 54px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (Not a Number). \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 370px 8px; transform-origin: 370px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function that calculates the average weight of all golden retrievers within a certain height range. Your function should take the lower and upper bound for the height range as inputs. It should output the average weight of the dogs in that height range, as well as the percentage of dogs in that range. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [y,p] = retrieveWeight(x1,x2)\r\n\r\nht = [24.8, 23.8, NaN, 20.5, 19.7, ...\r\n    25.2, 15.0, 23.4, 18.7, NaN,...\r\n    NaN, 25.8, 19.8, 18.3, 18.2,...\r\n    24.6, 17.4, 18.7, 24.0, 22.6];\r\n\r\nwt = [62.6, 69.2, 64.7, 61.2, 60.4,...\r\n    68.0, 71.6, NaN, 62.0, 73.0,...\r\n    62.4, 71.8, 74.6, 59.7, 73.2,...\r\n    67.0, 70.8, 59.2, 70.4, 63.8];\r\n\r\ny = x1;\r\np = x2;\r\n\r\nend","test_suite":"%%\r\n[y,n] = retrieveWeight(20,23);\r\nassert(isequal(y,62.5) \u0026 isequal(n,10))\r\n%%\r\n[y,n] = retrieveWeight(23,26)\r\nassert(abs(y-68.1667)\u003c1e-4 \u0026 isequal(n,35))\r\n%%\r\n[y,n] = retrieveWeight(19,26);\r\nassert(abs(y-66.9)\u003c1e-4 \u0026 abs(n-55)\u003c1e-4)\r\n%%\r\n[y,n] = retrieveWeight(17,23);\r\nassert(abs(y-64.9889)\u003c1e-4 \u0026 abs(n-45)\u003c1e-4)","published":true,"deleted":false,"likes_count":6,"comments_count":1,"created_by":571375,"edited_by":223089,"edited_at":"2022-10-04T18:03:45.000Z","deleted_by":null,"deleted_at":null,"solvers_count":454,"test_suite_updated_at":"2022-10-04T18:03:45.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-05-03T20:06:40.000Z","updated_at":"2026-10-28T18:33:10.000Z","published_at":"2022-10-03T14:27:27.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe vectors \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eht\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ewt\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e contains the heights and weights of 20 golden retrievers. In some cases, it was not possible to make both measurements, so any empty cells are represented by \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNaN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (Not a Number). \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that calculates the average weight of all golden retrievers within a certain height range. Your function should take the lower and upper bound for the height range as inputs. It should output the average weight of the dogs in that height range, as well as the percentage of dogs in that range. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55235,"title":"Determine if x is a combination of m and n","description":"Given positive integers x, m, and n, determine if x can be written as x = am + bn for any (non-negative) integers a and b. Your function should return logical true or false.\r\nFor example\r\niscombo(17,3,5) should return true because 17 = 4*3 + 1*5\r\niscombo(18,3,5) should return true because 18 = 6*3 + 0*5\r\niscombo(7,3,5) should return false because 7 cannot be written as a combination of 3 \u0026 5 (7 is not divisible by either 3 or 5 and 1*3 + 1*5 = 8)\r\nHint: You can start by calculating all possible values of combining m and n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 207.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 103.867px; transform-origin: 407px 103.867px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 74px 8px; transform-origin: 74px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven positive integers \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003em\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18px 8px; transform-origin: 18px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 43px 8px; transform-origin: 43px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, determine if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 57.5px 8px; transform-origin: 57.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e can be written as \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 44px 8px; transform-origin: 44px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 44px 8.5px; transform-origin: 44px 8.5px; \"\u003ex = am + bn\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 102px 8px; transform-origin: 102px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e for any (non-negative) integers \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 113.5px 8px; transform-origin: 113.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Your function should return logical \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003etrue\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 10.5px 8px; transform-origin: 10.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e or \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 20px 8px; transform-origin: 20px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003efalse\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 39px 8px; transform-origin: 39px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 83.2333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 41.6167px; transform-origin: 391px 41.6167px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.9333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 60px 8px; transform-origin: 60px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003eiscombo(17,3,5)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 46px 8px; transform-origin: 46px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should return \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003etrue\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 76px 8px; transform-origin: 76px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e because 17 = 4*3 + 1*5\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.9333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 60px 8px; transform-origin: 60px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003eiscombo(18,3,5)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 46px 8px; transform-origin: 46px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should return \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003etrue\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 76px 8px; transform-origin: 76px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e because 18 = 6*3 + 0*5\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 41.3667px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 20.6833px; text-align: left; transform-origin: 363px 20.6833px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 56px 8px; transform-origin: 56px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 56px 8.5px; transform-origin: 56px 8.5px; \"\u003eiscombo(7,3,5)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 300px 8px; transform-origin: 300px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should return false because 7 cannot be written as a combination of 3 \u0026amp; 5 (7 is not divisible by either 3 or 5 and 1*3 + 1*5 = 8)\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 206px 8px; transform-origin: 206px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eHint: You can start by calculating all possible values of combining \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003em\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function combo = iscombo(x,m,n)\r\ncombo = false;\r\nend","test_suite":"%% Check various inputs\r\nassert(~iscombo(6,18,5))\r\n%%\r\nassert(~iscombo(10,7,19))\r\n%%\r\nassert(iscombo(10,5,19))\r\n%%\r\nassert(iscombo(20,10,4))\r\n%%\r\nassert(~iscombo(6,4,7))\r\n%%\r\nassert(iscombo(11,6,11))\r\n%%\r\nassert(~iscombo(27,6,11))\r\n%%\r\nassert(~iscombo(7,2,12))\r\n%%\r\nassert(~iscombo(19,10,14))\r\n%%\r\nassert(~iscombo(25,10,4))\r\n%%\r\nassert(~iscombo(22,9,8))\r\n%%\r\nassert(iscombo(25,13,12))\r\n%%\r\nassert(~iscombo(30,11,13))\r\n%%\r\nassert(~iscombo(15,8,13))\r\n%%\r\nassert(iscombo(13,13,13))\r\n%%\r\nassert(iscombo(10,8,2))\r\n%%\r\nassert(~iscombo(26,11,7))\r\n%%\r\nassert(~iscombo(25,15,12))\r\n%%\r\nassert(iscombo(24,7,3))\r\n\r\n%% Check some non-combos\r\nfor k = 1:20\r\n    m = randi([2 15]);\r\n    n = randi([2 15]);\r\n    x = m*n - m - n;\r\n    assert(iscombo(x,m,n) == (gcd(m,n) ~= 1))\r\nend\r\n\r\n%% Check some obvious combos\r\nfor k = 1:20\r\n    m = randi([2 15]);\r\n    n = randi([2 15]);\r\n    a = randi([2 15]);\r\n    b = randi([2 15]);\r\n    assert(iscombo(a*m+b*n,m,n))\r\nend","published":true,"deleted":false,"likes_count":12,"comments_count":6,"created_by":140016,"edited_by":223089,"edited_at":"2022-10-04T06:01:05.000Z","deleted_by":null,"deleted_at":null,"solvers_count":477,"test_suite_updated_at":"2022-10-04T06:01:05.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:45:29.000Z","updated_at":"2026-10-28T18:46:30.000Z","published_at":"2022-10-03T14:10:23.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven positive integers \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, determine if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e can be written as \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex = am + bn\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e for any (non-negative) integers \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Your function should return logical \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etrue\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e or \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003efalse\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiscombo(17,3,5)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should return \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etrue\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e because 17 = 4*3 + 1*5\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiscombo(18,3,5)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should return \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etrue\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e because 18 = 6*3 + 0*5\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiscombo(7,3,5)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should return false because 7 cannot be written as a combination of 3 \u0026amp; 5 (7 is not divisible by either 3 or 5 and 1*3 + 1*5 = 8)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eHint: You can start by calculating all possible values of combining \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55245,"title":"Calculating Student Grades","description":"The matrix grades contains raw grades for 7 students who took your course. Each row represents a different student. The first 7 columns contain grades from 7 homework assignments, the next 3 columns contain grades from exams, and the last 5 columns contain grades from quizzes. If a student missed an assignment, their grade was recorded as 0. \r\n\r\nThe final grade for each student is calculated using the average of their raw scores weighted by how much each assignment type is worth. An example rubric would look something like: \r\nr = [0.2 0.45 0.35]\r\nwhich indicates that homework, exams, and quizzes are worth 20%, 45%, and 35% of each student's final grade, respectively.  \r\nWrite a function that takes a rubric vector as an input and outputs the final grade for each student. \r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 564.933px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 282.467px; transform-origin: 407px 282.467px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe matrix grades contains raw grades for 7 students who took your course. Each row represents a different student. The first 7 columns contain grades from 7 homework assignments, the next 3 columns contain grades from exams, and the last 5 columns contain grades from quizzes. If a student missed an assignment, their grade was recorded as 0. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 299.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 149.75px; text-align: left; transform-origin: 384px 149.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 850px;height: 294px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\" width=\"850\" height=\"294\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 354px 8px; transform-origin: 354px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe final grade for each student is calculated using the average of their raw scores weighted by how much each assignment type is worth. An example rubric would look something like: \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 76px 8.5px; tab-size: 4; transform-origin: 76px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003er = [0.2 0.45 0.35]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 353.5px 8px; transform-origin: 353.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ewhich indicates that homework, exams, and quizzes are worth 20%, 45%, and 35% of each student's final grade, respectively.  \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 311.5px 8px; transform-origin: 311.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes a rubric vector as an input and outputs the final grade for each student. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function finalgrade = calculateGrade(r)\r\ngrades = [87 91\t81\t85\t72\t75\t70\t84\t63\t39\t64\t97\t74\t81\t73;\r\n85\t76\t77\t94\t67\t79\t93\t0\t0\t52\t59\t64\t79\t0\t82;\r\n74\t86\t85\t85\t86\t73\t70\t72\t92\t93\t57\t48\t48\t73\t76;\r\n87\t88\t77\t96\t86\t83\t82\t84\t98\t72\t64\t61\t61\t38\t80;\r\n72\t71\t84\t60\t83\t0\t74\t0\t79\t79\t56\t84\t43\t95\t68;\r\n86\t82\t79\t76\t84\t75\t85\t62\t90\t55\t90\t86\t63\t89\t69;\r\n83\t96\t80\t82\t71\t86\t80\t96\t0\t67\t55\t72\t84\t61\t71];\r\n\r\nfinalgrade = 0;\r\n\r\nend","test_suite":"%%  \r\ny = [80.1429;81.5714;79.8571;85.5714;63.4286;81.0000;82.5714];\r\nind = abs(calculateGrade([1 0 0])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n%%  \r\ny = [71.0714;49.4524;82.7619;85.1190;58.0476;75.0000;68.4524];    \r\nind = abs(calculateGrade([0.5 0.5 0])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n%%  \r\ny = [71.1586;43.9943;75.6614;76.4943;60.6057;75.0400;64.9743];    \r\nind = abs(calculateGrade([0.2 0.45 0.35])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n%%\r\ny = [70.8371;46.9752;80.8162;82.6419;58.6248;74.8400;67.0552];\r\nind = abs(calculateGrade([0.4 0.5 0.1])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n\r\n%%\r\ny = [73.5286;49.9143;71.8714;72.9143;63.0857;76.6;67.1143];\r\nind = abs(calculateGrade([0.2 0.3 0.5])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n\r\n%%\r\ny = [77.8;56.8;60.4;60.8;69.2;79.4;68.6];\r\nind = abs(calculateGrade([0 0 1])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n\r\n","published":true,"deleted":false,"likes_count":10,"comments_count":3,"created_by":140016,"edited_by":223089,"edited_at":"2023-02-05T06:21:36.000Z","deleted_by":null,"deleted_at":null,"solvers_count":492,"test_suite_updated_at":"2023-02-05T06:21:36.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T15:00:22.000Z","updated_at":"2026-10-28T13:58:03.000Z","published_at":"2022-10-03T14:10:54.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe matrix grades contains raw grades for 7 students who took your course. Each row represents a different student. The first 7 columns contain grades from 7 homework assignments, the next 3 columns contain grades from exams, and the last 5 columns contain grades from quizzes. If a student missed an assignment, their grade was recorded as 0. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"294\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"850\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe final grade for each student is calculated using the average of their raw scores weighted by how much each assignment type is worth. An example rubric would look something like: \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[r = [0.2 0.45 0.35]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ewhich indicates that homework, exams, and quizzes are worth 20%, 45%, and 35% of each student's final grade, respectively.  \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes a rubric vector as an input and outputs the final grade for each student. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":54440,"title":"Create an arrow matrix","description":"An arrow matrix is a square matrix that contains ones on the diagonal, the last column, and last row. \r\n                                        \r\n                                        \r\n\r\nWrite a function that takes the number of rows and columns (for N \u003e= 3) as an input, and returns the corresponding arrow matrix.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 305px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 152.5px; transform-origin: 407px 152.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAn arrow matrix is a square matrix that contains ones on the diagonal, the last column, and last row. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e                                        \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 164px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 82px; text-align: left; transform-origin: 384px 82px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e                                        \u003c/span\u003e\u003c/span\u003e\u003cimg class=\"imageNode\" width=\"199\" height=\"158\" style=\"vertical-align: baseline;width: 199px;height: 158px\" src=\"data:image/svg+xml;base64,<svg width="1989" height="1581" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><rect x="946" y="330" width="1989" height="1581"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-946 -330)"><path d="M948.349 333.204 1344.63 333.204 1344.63 637.55 948.349 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 333.204 1740.92 333.204 1740.92 637.55 1344.63 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 333.204 2137.2 333.204 2137.2 637.55 1740.92 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 333.204 2533.49 333.204 2533.49 637.55 2137.2 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 333.204 2929.77 333.204 2929.77 637.55 2533.49 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 637.55 1344.63 637.55 1344.63 954.74 948.349 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 637.55 1740.92 637.55 1740.92 954.74 1344.63 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 637.55 2137.2 637.55 2137.2 954.74 1740.92 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 637.55 2533.49 637.55 2533.49 954.74 2137.2 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 637.55 2929.77 637.55 2929.77 954.74 2533.49 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 954.74 1344.63 954.74 1344.63 1271.93 948.349 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 954.74 1740.92 954.74 1740.92 1271.93 1344.63 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 954.74 2137.2 954.74 2137.2 1271.93 1740.92 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 954.74 2533.49 954.74 2533.49 1271.93 2137.2 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 954.74 2929.77 954.74 2929.77 1271.93 2533.49 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1271.93 1344.63 1271.93 1344.63 1589.12 948.349 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 1271.93 1740.92 1271.93 1740.92 1589.12 1344.63 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 1271.93 2137.2 1271.93 2137.2 1589.12 1740.92 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 1271.93 2533.49 1271.93 2533.49 1589.12 2137.2 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1271.93 2929.77 1271.93 2929.77 1589.12 2533.49 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1589.12 1344.63 1589.12 1344.63 1906.31 948.349 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 1589.12 1740.92 1589.12 1740.92 1906.31 1344.63 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 1589.12 2137.2 1589.12 2137.2 1906.31 1740.92 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 1589.12 2533.49 1589.12 2533.49 1906.31 2137.2 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1589.12 2929.77 1589.12 2929.77 1906.31 2533.49 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 330.912 1344.63 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M1740.92 330.912 1740.92 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2137.2 330.912 2137.2 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2533.49 330.912 2533.49 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 637.55 2932.06 637.55" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 954.74 2932.06 954.74" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1271.93 2932.06 1271.93" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1589.12 2932.06 1589.12" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M948.349 330.912 948.349 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2929.77 330.912 2929.77 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 333.204 2932.06 333.204" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1906.31 2932.06 1906.31" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><text font-family="Calibri,Calibri_MSFontService,sans-serif" font-weight="400" font-size="128" transform="matrix(1 0 0 1 1113.84 528)">1<tspan font-size="128" x="396.285" y="0">0</tspan><tspan font-size="128" x="792.57" y="0">0</tspan><tspan font-size="128" x="1188.85" y="0">0</tspan><tspan font-size="128" x="1585.14" y="0">1</tspan><tspan font-size="128" x="0" y="311">0</tspan><tspan font-size="128" x="396.285" y="311">1</tspan><tspan font-size="128" x="792.57" y="311">0</tspan><tspan font-size="128" x="1188.85" y="311">0</tspan><tspan font-size="128" x="1585.14" y="311">1</tspan><tspan font-size="128" x="0" y="628">0</tspan><tspan font-size="128" x="396.285" y="628">0</tspan><tspan font-size="128" x="792.57" y="628">1</tspan><tspan font-size="128" x="1188.85" y="628">0</tspan><tspan font-size="128" x="1585.14" y="628">1</tspan><tspan font-size="128" x="0" y="946">0</tspan><tspan font-size="128" x="396.285" y="946">0</tspan><tspan font-size="128" x="792.57" y="946">0</tspan><tspan font-size="128" x="1188.85" y="946">1</tspan><tspan font-size="128" x="1585.14" y="946">1</tspan><tspan font-size="128" x="0" y="1263">1</tspan><tspan font-size="128" x="396.285" y="1263">1</tspan><tspan font-size="128" x="792.57" y="1263">1</tspan><tspan font-size="128" x="1188.85" y="1263">1</tspan><tspan font-size="128" x="1585.14" y="1263">1</tspan></text></g></svg>\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes the number of rows and columns (for \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026gt;= 3) as an input, and returns the corresponding arrow matrix.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = arrow(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 3;\r\ny_correct = [1 0 1; 0 1 1; 1 1 1];\r\nassert(isequal(arrow(x),y_correct))\r\n\r\n%%\r\nx = 6;\r\ny_correct = [1 0 0 0 0 1; 0 1 0 0 0 1; 0 0 1 0 0 1; 0 0 0 1 0 1; 0 0 0 0 1 1; 1 1 1 1 1 1];\r\nassert(isequal(arrow(x),y_correct))","published":true,"deleted":false,"likes_count":11,"comments_count":1,"created_by":571375,"edited_by":571375,"edited_at":"2022-10-03T14:11:46.000Z","deleted_by":null,"deleted_at":null,"solvers_count":613,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-05-03T17:40:18.000Z","updated_at":"2026-10-29T01:52:40.000Z","published_at":"2022-10-03T14:11:46.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAn arrow matrix is a square matrix that contains ones on the diagonal, the last column, and last row. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e                                        \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e                                        \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"158\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"199\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes the number of rows and columns (for \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026gt;= 3) as an input, and returns the corresponding arrow matrix.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.svg+xml\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.svg+xml\",\"contentType\":\"image/svg+xml\",\"content\":\"data:image/svg+xml;base64,<svg width="1989" height="1581" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><rect x="946" y="330" width="1989" height="1581"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-946 -330)"><path d="M948.349 333.204 1344.63 333.204 1344.63 637.55 948.349 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 333.204 1740.92 333.204 1740.92 637.55 1344.63 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 333.204 2137.2 333.204 2137.2 637.55 1740.92 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 333.204 2533.49 333.204 2533.49 637.55 2137.2 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 333.204 2929.77 333.204 2929.77 637.55 2533.49 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 637.55 1344.63 637.55 1344.63 954.74 948.349 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 637.55 1740.92 637.55 1740.92 954.74 1344.63 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 637.55 2137.2 637.55 2137.2 954.74 1740.92 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 637.55 2533.49 637.55 2533.49 954.74 2137.2 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 637.55 2929.77 637.55 2929.77 954.74 2533.49 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 954.74 1344.63 954.74 1344.63 1271.93 948.349 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 954.74 1740.92 954.74 1740.92 1271.93 1344.63 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 954.74 2137.2 954.74 2137.2 1271.93 1740.92 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 954.74 2533.49 954.74 2533.49 1271.93 2137.2 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 954.74 2929.77 954.74 2929.77 1271.93 2533.49 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1271.93 1344.63 1271.93 1344.63 1589.12 948.349 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 1271.93 1740.92 1271.93 1740.92 1589.12 1344.63 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 1271.93 2137.2 1271.93 2137.2 1589.12 1740.92 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 1271.93 2533.49 1271.93 2533.49 1589.12 2137.2 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1271.93 2929.77 1271.93 2929.77 1589.12 2533.49 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1589.12 1344.63 1589.12 1344.63 1906.31 948.349 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 1589.12 1740.92 1589.12 1740.92 1906.31 1344.63 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 1589.12 2137.2 1589.12 2137.2 1906.31 1740.92 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 1589.12 2533.49 1589.12 2533.49 1906.31 2137.2 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1589.12 2929.77 1589.12 2929.77 1906.31 2533.49 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 330.912 1344.63 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M1740.92 330.912 1740.92 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2137.2 330.912 2137.2 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2533.49 330.912 2533.49 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 637.55 2932.06 637.55" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 954.74 2932.06 954.74" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1271.93 2932.06 1271.93" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1589.12 2932.06 1589.12" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M948.349 330.912 948.349 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2929.77 330.912 2929.77 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 333.204 2932.06 333.204" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1906.31 2932.06 1906.31" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><text font-family="Calibri,Calibri_MSFontService,sans-serif" font-weight="400" font-size="128" transform="matrix(1 0 0 1 1113.84 528)">1<tspan font-size="128" x="396.285" y="0">0</tspan><tspan font-size="128" x="792.57" y="0">0</tspan><tspan font-size="128" x="1188.85" y="0">0</tspan><tspan font-size="128" x="1585.14" y="0">1</tspan><tspan font-size="128" x="0" y="311">0</tspan><tspan font-size="128" x="396.285" y="311">1</tspan><tspan font-size="128" x="792.57" y="311">0</tspan><tspan font-size="128" x="1188.85" y="311">0</tspan><tspan font-size="128" x="1585.14" y="311">1</tspan><tspan font-size="128" x="0" y="628">0</tspan><tspan font-size="128" x="396.285" y="628">0</tspan><tspan font-size="128" x="792.57" y="628">1</tspan><tspan font-size="128" x="1188.85" y="628">0</tspan><tspan font-size="128" x="1585.14" y="628">1</tspan><tspan font-size="128" x="0" y="946">0</tspan><tspan font-size="128" x="396.285" y="946">0</tspan><tspan font-size="128" x="792.57" y="946">0</tspan><tspan font-size="128" x="1188.85" y="946">1</tspan><tspan font-size="128" x="1585.14" y="946">1</tspan><tspan font-size="128" x="0" y="1263">1</tspan><tspan font-size="128" x="396.285" y="1263">1</tspan><tspan font-size="128" x="792.57" y="1263">1</tspan><tspan font-size="128" x="1188.85" y="1263">1</tspan><tspan font-size="128" x="1585.14" y="1263">1</tspan></text></g></svg>\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55780,"title":"Calculate Angle From Axis","description":"Given coordinates x and y, an axis (\"X\" or \"Y\"), and a direction (\"cw\" or \"ccw\", meaning clockwise and counterclockwise, respectively), find the angle, in degrees, from the given axis to the vector from the origin to the point (x,y), in the given direction. The angle must be given in the range [0,360].\r\nYou can assume that the axis and direction will always be in the form given above (\"X\" or \"Y\" for the axis, \"cw\" or \"ccw\" for the direction).\r\nFor example:\r\n\r\ntheta = fromaxis(-1,-0.25,\"X\",\"cw\")  % blue angle in diagram\r\ntheta =\r\n  165.9638\r\n\r\ntheta = fromaxis(-1,-0.25,\"Y\",\"cw\")  % orange\r\ntheta =\r\n  255.9638\r\n\r\ntheta = fromaxis(-1,-0.25,\"X\",\"ccw\")  % green\r\ntheta =\r\n  194.0362\r\n\r\ntheta = fromaxis(-1,-0.25,\"Y\",\"ccw\")  % red\r\ntheta =\r\n  104.0362\r\nYou can use the following algorithm:\r\nUse theta = atan2d(y,x) to get the angle counterclockwise from the x axis in the range [-180, 180].\r\nUse -theta to get the angle clockwise from the x axis (still in the range [-180, 180]).\r\nUse theta - 90 to get the angle counterclockwise from the y axis (in the range [-270, 90]).\r\nUse 90 - theta to get the angle clockwise from the y axis (in the range [-90, 270]).\r\nPut the resulting angle into the range [0 360].\r\nOne way to achieve #5 is to add 360 to any result that is negative.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1115.17px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 557.583px; transform-origin: 407px 557.583px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 59.5px 8px; transform-origin: 59.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven coordinates \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3.5px 8px; transform-origin: 3.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 293.5px 8px; transform-origin: 293.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, an axis (\"X\" or \"Y\"), and a direction (\"cw\" or \"ccw\", meaning clockwise and counterclockwise, respectively), find the angle, in degrees, from the given axis to the vector from the origin to the point (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3.5px 8px; transform-origin: 3.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 45px 8px; transform-origin: 45px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e), in the given direction. The angle must be given in the range [0,360].\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 381.5px 8px; transform-origin: 381.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou can assume that the axis and direction will always be in the form given above (\"X\" or \"Y\" for the axis, \"cw\" or \"ccw\" for the direction).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 459.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 229.75px; text-align: left; transform-origin: 384px 229.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 646px;height: 454px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\" width=\"646\" height=\"454\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 306.5px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 153.25px; transform-origin: 404px 153.25px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 240px 8.5px; tab-size: 4; transform-origin: 240px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 104px 8.5px; transform-origin: 104px 8.5px; \"\u003etheta = fromaxis(-1,-0.25,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 12px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 12px 8.5px; \"\u003e\"X\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 16px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 16px 8.5px; \"\u003e\"cw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e)  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(2, 128, 9); border-block-start-color: rgb(2, 128, 9); border-bottom-color: rgb(2, 128, 9); border-inline-end-color: rgb(2, 128, 9); border-inline-start-color: rgb(2, 128, 9); border-left-color: rgb(2, 128, 9); border-right-color: rgb(2, 128, 9); border-top-color: rgb(2, 128, 9); caret-color: rgb(2, 128, 9); color: rgb(2, 128, 9); column-rule-color: rgb(2, 128, 9); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(2, 128, 9); perspective-origin: 92px 8.5px; text-decoration-color: rgb(2, 128, 9); text-emphasis-color: rgb(2, 128, 9); transform-origin: 92px 8.5px; \"\u003e% blue angle in diagram\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 28px 8.5px; tab-size: 4; transform-origin: 28px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003etheta =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  165.9638\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 180px 8.5px; tab-size: 4; transform-origin: 180px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 104px 8.5px; transform-origin: 104px 8.5px; \"\u003etheta = fromaxis(-1,-0.25,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 12px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 12px 8.5px; \"\u003e\"Y\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 16px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 16px 8.5px; \"\u003e\"cw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e)  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(2, 128, 9); border-block-start-color: rgb(2, 128, 9); border-bottom-color: rgb(2, 128, 9); border-inline-end-color: rgb(2, 128, 9); border-inline-start-color: rgb(2, 128, 9); border-left-color: rgb(2, 128, 9); border-right-color: rgb(2, 128, 9); border-top-color: rgb(2, 128, 9); caret-color: rgb(2, 128, 9); color: rgb(2, 128, 9); column-rule-color: rgb(2, 128, 9); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(2, 128, 9); perspective-origin: 32px 8.5px; text-decoration-color: rgb(2, 128, 9); text-emphasis-color: rgb(2, 128, 9); transform-origin: 32px 8.5px; \"\u003e% orange\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 28px 8.5px; tab-size: 4; transform-origin: 28px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003etheta =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  255.9638\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 180px 8.5px; tab-size: 4; transform-origin: 180px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 104px 8.5px; transform-origin: 104px 8.5px; \"\u003etheta = fromaxis(-1,-0.25,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 12px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 12px 8.5px; \"\u003e\"X\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"ccw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e)  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(2, 128, 9); border-block-start-color: rgb(2, 128, 9); border-bottom-color: rgb(2, 128, 9); border-inline-end-color: rgb(2, 128, 9); border-inline-start-color: rgb(2, 128, 9); border-left-color: rgb(2, 128, 9); border-right-color: rgb(2, 128, 9); border-top-color: rgb(2, 128, 9); caret-color: rgb(2, 128, 9); color: rgb(2, 128, 9); column-rule-color: rgb(2, 128, 9); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(2, 128, 9); perspective-origin: 28px 8.5px; text-decoration-color: rgb(2, 128, 9); text-emphasis-color: rgb(2, 128, 9); transform-origin: 28px 8.5px; \"\u003e% green\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 28px 8.5px; tab-size: 4; transform-origin: 28px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003etheta =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  194.0362\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 172px 8.5px; tab-size: 4; transform-origin: 172px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 104px 8.5px; transform-origin: 104px 8.5px; \"\u003etheta = fromaxis(-1,-0.25,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 12px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 12px 8.5px; \"\u003e\"Y\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"ccw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e)  \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(2, 128, 9); border-block-start-color: rgb(2, 128, 9); border-bottom-color: rgb(2, 128, 9); border-inline-end-color: rgb(2, 128, 9); border-inline-start-color: rgb(2, 128, 9); border-left-color: rgb(2, 128, 9); border-right-color: rgb(2, 128, 9); border-top-color: rgb(2, 128, 9); caret-color: rgb(2, 128, 9); color: rgb(2, 128, 9); column-rule-color: rgb(2, 128, 9); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(2, 128, 9); perspective-origin: 20px 8.5px; text-decoration-color: rgb(2, 128, 9); text-emphasis-color: rgb(2, 128, 9); transform-origin: 20px 8.5px; \"\u003e% red\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 28px 8.5px; tab-size: 4; transform-origin: 28px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003etheta =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  104.0362\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 113px 8px; transform-origin: 113px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou can use the following algorithm:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003col style=\"block-size: 104.167px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: decimal; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 52.0833px; transform-origin: 391px 52.0833px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.9333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 14px 8px; transform-origin: 14px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eUse \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 76px 8px; transform-origin: 76px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 76px 8.5px; transform-origin: 76px 8.5px; \"\u003etheta = atan2d(y,x)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 53.5px 8px; transform-origin: 53.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e to get the angle \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 62px 8px; transform-origin: 62px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ecounterclockwise\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 30px 8px; transform-origin: 30px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e from the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 92.5px 8px; transform-origin: 92.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e axis in the range [-180, 180].\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.9333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 14px 8px; transform-origin: 14px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eUse \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e-theta\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 53.5px 8px; transform-origin: 53.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e to get the angle \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 34.5px 8px; transform-origin: 34.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eclockwise\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 30px 8px; transform-origin: 30px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e from the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 109.5px 8px; transform-origin: 109.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e axis (still in the range [-180, 180]).\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.9333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 14px 8px; transform-origin: 14px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eUse \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 40px 8px; transform-origin: 40px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 40px 8.5px; transform-origin: 40px 8.5px; \"\u003etheta - 90\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 53.5px 8px; transform-origin: 53.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e to get the angle \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 62px 8px; transform-origin: 62px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ecounterclockwise\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 30px 8px; transform-origin: 30px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e from the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 3.5px 8px; transform-origin: 3.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 93.5px 8px; transform-origin: 93.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e axis (in the range [-270, 90]).\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.9333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 14px 8px; transform-origin: 14px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eUse \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 40px 8px; transform-origin: 40px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 40px 8.5px; transform-origin: 40px 8.5px; \"\u003e90 - theta\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 53.5px 8px; transform-origin: 53.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e to get the angle \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 34.5px 8px; transform-origin: 34.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eclockwise\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 30px 8px; transform-origin: 30px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e from the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 3.5px 8px; transform-origin: 3.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 93.5px 8px; transform-origin: 93.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e axis (in the range [-90, 270]).\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 143px 8px; transform-origin: 143px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ePut the resulting angle into the range [0 360].\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 208px 8px; transform-origin: 208px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eOne way to achieve #5 is to add 360 to any result that is negative.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function theta = fromaxis(x,y,ax,dirn)\r\n\r\ntheta = atan2d(y,x);\r\n\r\nend","test_suite":" %% Test a bunch of inputs\r\n assert( abs(fromaxis(-2.14,-0.84,\"Y\",\"cw\")-248.5688) \u003c 0.001 )\r\n    assert( abs(fromaxis(0.96,0.12,\"Y\",\"cw\")-82.875) \u003c 0.001 )\r\n    assert( abs(fromaxis(-0.2,-1.21,\"Y\",\"cw\")-189.3855) \u003c 0.001 )\r\n    assert( abs(fromaxis(1.73,0.83,\"Y\",\"cw\")-64.3698) \u003c 0.001 )\r\n    assert( abs(fromaxis(-0.47,-0.27,\"Y\",\"cw\")-240.124) \u003c 0.001 )\r\n    assert( abs(fromaxis(0.7,-2.05,\"X\",\"cw\")-71.1468) \u003c 0.001 )\r\n    assert( abs(fromaxis(-1.58,0.51,\"Y\",\"ccw\")-72.1107) \u003c 0.001 )\r\n    assert( abs(fromaxis(-1.33,1.13,\"Y\",\"cw\")-310.352) \u003c 0.001 )\r\n    assert( abs(fromaxis(0.02,-0.26,\"X\",\"cw\")-85.6013) \u003c 0.001 )\r\n    assert( abs(fromaxis(-0.83,-0.98,\"X\",\"cw\")-130.2626) \u003c 0.001 )\r\n    assert( abs(fromaxis(-2,0.96,\"Y\",\"cw\")-295.641) \u003c 0.001 )\r\n    assert( abs(fromaxis(-0.03,-0.8,\"Y\",\"cw\")-182.1476) \u003c 0.001 )\r\n    assert( abs(fromaxis(-0.71,1.35,\"X\",\"cw\")-242.259) \u003c 0.001 )\r\n    assert( abs(fromaxis(-0.29,-0.85,\"X\",\"ccw\")-251.1616) \u003c 0.001 )\r\n    assert( abs(fromaxis(1.66,0.31,\"X\",\"cw\")-349.422) \u003c 0.001 )\r\n    assert( abs(fromaxis(-0.18,0.79,\"X\",\"cw\")-257.1644) \u003c 0.001 )\r\n    assert( abs(fromaxis(-1.45,0.33,\"Y\",\"ccw\")-77.1787) \u003c 0.001 )\r\n    assert( abs(fromaxis(-0.13,0.18,\"X\",\"ccw\")-125.8377) \u003c 0.001 )\r\n    assert( abs(fromaxis(-1.36,0.46,\"X\",\"cw\")-198.6874) \u003c 0.001 )\r\n    assert( abs(fromaxis(0.55,1.04,\"X\",\"ccw\")-62.128) \u003c 0.001 )\r\n    assert( abs(fromaxis(0.66,-0.07,\"X\",\"cw\")-6.0542) \u003c 0.001 )\r\n    assert( abs(fromaxis(-0.3,0.02,\"Y\",\"ccw\")-86.1859) \u003c 0.001 )","published":true,"deleted":false,"likes_count":7,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-17T14:06:42.000Z","deleted_by":null,"deleted_at":null,"solvers_count":225,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-16T18:05:40.000Z","updated_at":"2026-10-27T14:26:40.000Z","published_at":"2022-10-17T14:06:42.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven coordinates \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, an axis (\\\"X\\\" or \\\"Y\\\"), and a direction (\\\"cw\\\" or \\\"ccw\\\", meaning clockwise and counterclockwise, respectively), find the angle, in degrees, from the given axis to the vector from the origin to the point (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e), in the given direction. The angle must be given in the range [0,360].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can assume that the axis and direction will always be in the form given above (\\\"X\\\" or \\\"Y\\\" for the axis, \\\"cw\\\" or \\\"ccw\\\" for the direction).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"454\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"646\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[theta = fromaxis(-1,-0.25,\\\"X\\\",\\\"cw\\\")  % blue angle in diagram\\ntheta =\\n  165.9638\\n\\ntheta = fromaxis(-1,-0.25,\\\"Y\\\",\\\"cw\\\")  % orange\\ntheta =\\n  255.9638\\n\\ntheta = fromaxis(-1,-0.25,\\\"X\\\",\\\"ccw\\\")  % green\\ntheta =\\n  194.0362\\n\\ntheta = fromaxis(-1,-0.25,\\\"Y\\\",\\\"ccw\\\")  % red\\ntheta =\\n  104.0362]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can use the following algorithm:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eUse \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etheta = atan2d(y,x)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to get the angle \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecounterclockwise\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e from the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e axis in the range [-180, 180].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eUse \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e-theta\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to get the angle \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eclockwise\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e from the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e axis (still in the range [-180, 180]).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eUse \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etheta - 90\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to get the angle \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecounterclockwise\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e from the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e axis (in the range [-270, 90]).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eUse \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e90 - theta\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to get the angle \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eclockwise\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e from the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e axis (in the range [-90, 270]).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ePut the resulting angle into the range [0 360].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOne way to achieve #5 is to add 360 to any result that is negative.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55775,"title":"Taylor Series","description":"You can use a Taylor series to approximate common functions. The Taylor series for sin(x) is \r\n\r\nUsing only the first several terms in the series could get you a good approximation to the function. \r\nWrite a function that takes a point x at which to evaluate the sine function and a tolerance level that defines how close you want the Taylor series approximation to be to the actual value. Your function should output the approximate value of sin(x).","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 157px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 78.5px; transform-origin: 407px 78.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYou can use a Taylor series to approximate common functions. The Taylor series for sin(x) is \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 46px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 23px; text-align: left; transform-origin: 384px 23px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"vertical-align:-17px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"294.5\" height=\"46\" style=\"width: 294.5px; height: 46px;\"\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eUsing only the first several terms in the series could get you a good approximation to the function. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes a point x at which to evaluate the sine function and a tolerance level that defines how close you want the Taylor series approximation to be to the actual value. Your function should output the approximate value of sin(x).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function yApp = myTaylor(x,tol)\r\n\r\n\r\nend","test_suite":"%%\r\nx = pi;\r\ntol = 0.01;\r\nyApp = myTaylor(x,tol); \r\nassert(abs(yApp-sin(x))\u003ctol)\r\n%%\r\nx = pi/2;\r\ntol = 0.1;\r\nyApp = myTaylor(x,tol); \r\nassert(abs(yApp-sin(x))\u003ctol)\r\n%%\r\nx = pi*1i;\r\ntol = 1e-3;\r\nyApp = myTaylor(x,tol); \r\nassert(abs(yApp-sin(x))\u003ctol)\r\n%%\r\nx = 2.345;\r\ntol = 1e-5;\r\nyApp = myTaylor(x,tol);\r\nassert( (abs(yApp-sin(x))\u003ctol) \u0026\u0026 (abs(yApp-sin(x))\u003etol/100) )\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":2,"created_by":140016,"edited_by":140016,"edited_at":"2022-10-17T14:02:37.000Z","deleted_by":null,"deleted_at":null,"solvers_count":218,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-16T18:00:45.000Z","updated_at":"2026-10-29T09:29:28.000Z","published_at":"2022-10-17T14:02:37.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can use a Taylor series to approximate common functions. The Taylor series for sin(x) is \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"true\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\sin(x) = \\\\sum_{n=0}^{\\\\infty}\\\\frac{(-1)^nx^{2n+1}}{(2n+1)!} = x - \\\\frac{x^3}{3!} + \\\\frac{x^5}{5!} - \\\\frac{x^7}{7!} + \\\\dots\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eUsing only the first several terms in the series could get you a good approximation to the function. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes a point x at which to evaluate the sine function and a tolerance level that defines how close you want the Taylor series approximation to be to the actual value. Your function should output the approximate value of sin(x).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55960,"title":"Where the Four Corners Am I?","description":"The \"Four Corners\" region of the US is where Colorado, Utah, Arizona, and New Mexico all meet - the only place where four states touch. The Four Corners Monument itself is on Navajo land.\r\nGiven coordinates x and y, return one of five strings:\r\nIf   and , then return \"NN\"\r\nOtherwise, if x \u0026 y are both positive, return \"CO\",\r\nif x is negative and y is positive, return \"UT\",\r\nif x \u0026 y are both negative, return \"AZ\",\r\nif x is positive and y is negative, return \"NM\"\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: normal; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"block-size: 691px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eThe \"Four Corners\" region of the US is where Colorado, Utah, Arizona, and New Mexico all meet - the only place where four states touch. The Four Corners Monument itself is on Navajo land.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eGiven coordinates x and y, return one of five strings:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 115px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 35px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; text-align: left; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003eIf  \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-15px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"75.5\" height=\"35\" style=\"width: 75.5px; height: 35px;\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-15px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"75.5\" height=\"35\" style=\"width: 75.5px; height: 35px;\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003e, then return \"NN\"\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; text-align: left; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003eOtherwise, if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026amp; \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003e are both positive, return \"CO\",\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; text-align: left; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003eif \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003e is negative and y is positive, return \"UT\",\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; text-align: left; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003eif \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026amp; \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003e are both negative, return \"AZ\",\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; text-align: left; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003eif \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003e is positive and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003e is negative, return \"NM\"\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 474px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"646\" height=\"468\" style=\"vertical-align: baseline;width: 646px;height: 468px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function loc = whereami(x,y)\r\n\r\nend","test_suite":"%%\r\nassert( isequal(whereami(-0.004846,0.51029),\"UT\") )\r\nassert( isequal(whereami(0.48481,0.66226),\"CO\") )\r\nassert( isequal(whereami(-0.687,-0.085383),\"AZ\") )\r\nassert( isequal(whereami(0.2362,0.86437),\"CO\") )\r\nassert( isequal(whereami(0.67018,0.79085),\"CO\") )\r\nassert( isequal(whereami(0.16504,0.16549),\"NN\") )\r\nassert( isequal(whereami(0.70985,-0.93027),\"NM\") )\r\nassert( isequal(whereami(0.77084,-0.18454),\"NM\") )\r\nassert( isequal(whereami(-0.92724,0.4923),\"UT\") )\r\nassert( isequal(whereami(-0.69034,-0.71218),\"AZ\") )\r\nassert( isequal(whereami(0.21192,-0.49104),\"NN\") )\r\nassert( isequal(whereami(-0.35169,-0.19642),\"NN\") )\r\nassert( isequal(whereami(-0.18725,-0.22762),\"NN\") )\r\nassert( isequal(whereami(0.2196,-0.66622),\"NM\") )\r\nassert( isequal(whereami(-0.62382,-0.81074),\"AZ\") )\r\nassert( isequal(whereami(-0.35363,0.53919),\"UT\") )\r\nassert( isequal(whereami(-0.53176,0.48073),\"UT\") )\r\nassert( isequal(whereami(0.38564,0.64816),\"CO\") )\r\nassert( isequal(whereami(0.65596,-0.41326),\"NM\") )\r\nassert( isequal(whereami(-0.38126,0.04606),\"NN\") ) ","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":571375,"edited_by":571375,"edited_at":"2022-10-17T21:37:00.000Z","deleted_by":null,"deleted_at":null,"solvers_count":247,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-20T16:30:48.000Z","updated_at":"2026-10-29T09:34:04.000Z","published_at":"2022-10-17T21:37:00.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe \\\"Four Corners\\\" region of the US is where Colorado, Utah, Arizona, and New Mexico all meet - the only place where four states touch. The Four Corners Monument itself is on Navajo land.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven coordinates x and y, return one of five strings:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf  \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e-\\\\frac{1}{2} \u0026lt; x \u0026lt;\\\\frac{1}{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e-\\\\frac{1}{2} \u0026lt; y \u0026lt; \\\\frac{1}{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, then return \\\"NN\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOtherwise, if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026amp; \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are both positive, return \\\"CO\\\",\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eif \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is negative and y is positive, return \\\"UT\\\",\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eif \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026amp; \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are both negative, return \\\"AZ\\\",\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eif \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is positive and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is negative, return \\\"NM\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"468\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"646\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55965,"title":"Where the Four Corners Am I? (Vectorized)","description":"NOTE: this problem is intended to build on problem #55960 (\"Where the Four Corners Am I?\"). You may wish to solve that problem first, then use your solution as a starting point for this problem.\r\n\r\nThe \"Four Corners\" region of the US is where Colorado, Utah, Arizona, and New Mexico all meet - the only place where four states touch. The Four Corners Monument itself is on Navajo land.\r\nGiven vectors of coordinates x and y, return a column vector of strings, where each string is one of five options according to the location of that element:\r\nIf   and , then return \"NN\"\r\nOtherwise, if x \u0026 y are both positive, return \"CO\",\r\nif x is negative and y is positive, return \"UT\",\r\nif x \u0026 y are both negative, return \"AZ\",\r\nif x is positive and y is negative, return \"NM\"\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 794.233px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 397.117px; transform-origin: 407px 397.117px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 378.5px 8px; transform-origin: 378.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eNOTE: this problem is intended to build on problem #55960 (\"Where the Four Corners Am I?\"). You may wish to solve that problem first, then use your solution as a starting point for this problem.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 374.5px 8px; transform-origin: 374.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe \"Four Corners\" region of the US is where Colorado, Utah, Arizona, and New Mexico all meet - the only place where four states touch. The Four Corners Monument itself is on Navajo land.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 20.5px 8px; transform-origin: 20.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 27px 8px; transform-origin: 27px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003evectors\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 124.5px 8px; transform-origin: 124.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e of coordinates x and y, return a column\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 19.5px 8px; transform-origin: 19.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003evector\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 158px 8px; transform-origin: 158px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eof strings, where each string is one of five options according to the location of that element:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 116.733px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 58.3667px; transform-origin: 391px 58.3667px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 35px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 17.5px; text-align: left; transform-origin: 363px 17.5px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 7.5px 8px; transform-origin: 7.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf  \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-15px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 75.5px; height: 35px;\" width=\"75.5\" height=\"35\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-15px\"\u003e\u003cimg src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJcAAABGCAYAAADB/QbzAAAGgElEQVR4Xu2duasnRRDHd/8A8YyEhcUjMFJQ10QFBQ80ERQ80cDACwRBvENvxEA8A+FpoqKGnoGCiiCKKAYGHoGx51+g3y9MPfvN656ru6erZusHxdv32+nu6qrP9FFdM+/gAf+4BSpZ4GCler1at8ABh8shqGYBh6uaab1ih8sZqGYBh6uaab1irXCdCdd87+5Ra4ETodmxkF+HNNQG13VQ9lHINxD+2z+6LECoboU8AHkQ8ooFuK6Aks9BTu2Ufcvh0kUVtLmvg+r4TrPbLcD1GJT8rVP4ZYdLHVSndKPVD/h5IeQOS3CF1vzX4VIHV6jQ+fjlc4dLtY/MKudwmXWdfsUdLv0+Mquhw2XWdfoVd7j0+8ishg6XWdfpV9zh0u8jsxo6XGZdp19xh0u/j8xq6HCZdZ1+xR0u/T4yq6HDVch1W8spm5SDNWI7hysTrq3llM3KwXK4MulJFBeoJKfscVz3cJ2mVqk1hEpysK5Ey+9ntG525GIy2lNdx3/Bz0shg2m0GUYKi/ahYqLi85AvMutnHtTJiXo45R5ToI2YijGoeKO8mmlP1vsC5NquUdrpLsgfKTtpSHOmc6+CHBdR8hN89xGkdD49DXUJhCnVYfZrLlTsS5hQxy6d1dOfYH3X9bXk6EiYr4EwBVlGqhJQUVXe+BdH/PM3vvu2A3cfZBrgSoFf4/vYXV1qpAr1DQHqp2xThw8h50D4rMC5mR0lVPdCJEOU1ZWCKku1owWutaAKnfFi5/C/8PN0SHhnC2Af4/ul6zq1UIkRUnBx4Zb7yV2z5LbP8i2gEr350Ml73S+xhfTX+L97IHPtpB6qMbgkl32pg3m3nrC0cIFyLaEK1f8Tv3D98xLkzuA/CAinxDk2MgPVGFxcE+R8uNBr+dwh1zzceV7WdYKw8zm7dyDJ3U1OhxNl38T33F1x93te0DanTG5SBp/769XZf/yOdd4NyQktVOjy/1Vufc3F6f2RhpDdhrblcTnuShlaWTJqhRD0QydqIds6XOKUVpCFu8broQxHMsqnM0et2AijHrIWcN0PSz25cDzmVMc4ztJPC8hk3cXwwAeQHchpSzsQKVcDstfQzs0LdbwF5V5n2aMNLrFXf3Fcc00m6y4GgwlVrXVS/8bJmS7NwrXwhqhSbA3IwmOt/q6xRqdKQpalX4uRK0vhSoVjkDF0wFEn9xMe9p6EytbarcYguxrtlz5KS9rH4dprGnnpBo9SGD0vEU4RuGRBnwvr3PJs/wYI+zT6Zpq5lQ9d73DFrcMgLONSJWJInBYPQ8IgakkfTq1rKEtjah2zrtMEl3SeHfhxxeljlsFmXiyBz5K7w5kqFL1cUoVY6eixlQa4+pFnsQZ3V7zb18jpKuqBrjI6gvGs/qF1jbZq19l/8Zu0x/DKs6mBoDVcfPHbQwOWYYiAqSkWAGNfzobsdCMvwboIstoCuhJhPGCnD1IfDgI3xgBrCZcsdLk9f6YDKJbEVyLnqZLd91QbHvbzptgCWBJG4UZAzmVTSYn7UodawsU7ghJb6BKynyCSUdnP5lwDlrltcHpngJTZs0wpXivkMFfPqdfTB79DUrvcMMQSzYJpBRfXI+9CwkyBfqfDKXPVLfRU62/8Oh66c/QdCseEU+a+AaAVXLzLD0GGUk5mPWmycUe36B6nxC8hQ7vC8PRBDVxTjBXCdcFIJ6fU59eUt4DAFUvlbnJwPbWLHI7fgPQT7aaW9+vqW0CeE4j+3YBW0+KUboviTNF5ekoBv2Z1C/yMFpkEGZ1ZtMIlu0XmQg0t+le3pje4awFZtiT/2olWuGQu97WWXpr5nAWPtZJPxmuES1KDW2UR6HWnHs0YpngCMhgo1gYXp8OvIBxqlz4sqscF29REbv7Rl5pogqvEU8jbdKeeXslh/E1QaTQdSQtcDpYegFKazAKLlWiBi8cIY+9NYFR/9G7R7yOTGsqzlkMjFgeIMyC7EX0NcDGeReUvHzC7vJqodTanSTIylZZZ5W3UMxRvpB8/g+w+d9AaLgmUMunsn4QRDuN75n97WCKTkgXFBSwGSoeeNeW7u45A9iRGtoRLwJrSZys5XVP6YuWa8D1iU3Te9yK7VnBJ7tMUpXnNTjjcTi3k12VZIPU2wVSlPKbbk3XbCq6sXnthGxZwuGz4yaSWDpdJt9lQ2uGy4SeTWjpcJt1mQ2mHy4afTGrpcJl0mw2lHS4bfjKppcNl0m02lP4PCSZ3VngspawAAAAASUVORK5CYII=\" style=\"width: 75.5px; height: 35px;\" width=\"75.5\" height=\"35\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 55px 8px; transform-origin: 55px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, then return \"NN\"\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eOtherwise, if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 8.5px 8px; transform-origin: 8.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u0026amp; \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 3.5px 8px; transform-origin: 3.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 97px 8px; transform-origin: 97px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e are both positive, return \"CO\",\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 5.5px 8px; transform-origin: 5.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eif \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 129.5px 8px; transform-origin: 129.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is negative and y is positive, return \"UT\",\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 5.5px 8px; transform-origin: 5.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eif \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 8.5px 8px; transform-origin: 8.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u0026amp; \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 3.5px 8px; transform-origin: 3.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 98px 8px; transform-origin: 98px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e are both negative, return \"AZ\",\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 5.5px 8px; transform-origin: 5.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eif \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 49px 8px; transform-origin: 49px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is positive and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 3.5px 8px; transform-origin: 3.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 76px 8px; transform-origin: 76px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is negative, return \"NM\"\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 473.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 236.75px; text-align: left; transform-origin: 384px 236.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 646px;height: 468px\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAChkAAAdOCAMAAADFtCsUAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAABXUExURf///4CAgL+/v0BAQAAAAEdHR4mJicPDwwB2qNeIJKRoHHRJEzwmCgAhLwA/WgBagHAwoDwaVlYleh8NLUiiP7cwLDd8MGIaGCdXIjMNDIwlIhQtEgAAAGuW9ukAAAAddFJOU/////////////////////////////////////8AWYbnagAAAAlwSFlzAAAywAAAMsABKGRa2wAAtVRJREFUeF7s3W2D6mbSrufsZGUnWbZntu1kZuz5//8zBZwSAkqFuLvpatB5fHHrRhJv/Vx1PaJZ879JkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJetz//N/5QZIkSTv3P/4PfpAkSdK+/Y8fP7xoKEmSpBDN0IuGkiRJOhZDLxpKkiQpHJuhFw0lSZJ0LIZeNJQkSdLUDL1oKEmStHcUQy8aSpIk7d7cDL1oKEmStG9zMfSioSRJ0s4tmqEXDSVJkvZsUQy9aChJkrRrF83Qi4aSJEn7dVEMvWgoSZK0Y1fN0IuGkiRJe3VVDL1oKEmStFs3zdCLhpIkSft0Uwy9aChJkrRTSTP0oqEkSdIeJcXQi4aSJEm7lDZDLxpKkiTtT1oMvWgoSZK0QyvN0IuGkiRJe7NSDL1oKEmStDurzdCLhpIkSfuyWgy9aChJkrQzRTP0oqEkSdKeFMXQi4aSJEm7UjZDLxpKkiTtEm0wsCBJkqSdohYGFiRJkrRT1MLAgiRJknaKWhhYkCRJ0k5RCwMLkiRJ2ilqYWBBkiRJO0UtDCxIkiRpp6iFgQVJkiTtFLUwsCBJkqSdohYGFiRJkrRT1MLAgiRJknaKWhhYkCRJ0k5RCwMLkiRJ2ilqYWBBkiRJO0UtDCxIkiRpp6iFgQVJkiTtFLUwsCBJkqSdohYGFiRJT/R/krkn/5NVSfoeCKfAgiTpef4nkQuboaTvhXAKLEiSnofEndgMJX0vhFNgQZL0NJefJdsMJX03hFNgQZL0LP8XgTuzGUr6XginwIIk6VmuLxnaDCV9M4RTYEGS9CQ3xdBmKOmbIZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5P7kZ/t+S9DGEU/h/JOlDaCfaguS1GUr6XginQLRL0iDaibYgeW2Gkr4XwikQ7ZI0iHaiLUhem6Gk74VwCkS7JA2inWgLktdmKOl7IZwC0S5Jg2gn2oLktRlK+l4Ip0C0S9Ig2om2IHlthpK+F8IpEO2SNIh2oi1IXpuhpO+FcApEuyQNop1oC5LXZijpeyGcAtEuSYNoJ9qC5LUZSvpeCKdAtEvSINqJtiB5bYaSvhfCKRDtkjSIdqItSF6boaTvhXAKRLskDaKdaAuS12Yo6XshnALRLkmDaCfaguS1GUr6XginQLRL0iDaibYgeW2Gkr4XwikQ7ZI0iHaiLUhem6Gk74VwCkS7JA2inWgLktdmKOl7IZwC0S5Jg2gn2oLktRlK+l4Ip0C0S9Ig2om2IHlthpK+F8IpEO2SNIh2oi1IXpuhpO+FcApEuyQNop1oC5LXZijpeyGcAtEuSYNoJ9qC5LUZSvpeCKdAtEvSINqJtiB5bYaSvhfCKRDtkjSIdqItSF6boaTvhXAKRLskDaKdaAuS12Yo6XshnALRLkmDaCfaguS1GUr6XginQLRL0iDaibYgeW2Gkr4XwikQ7ZI0iHaiLUhem6Gk74VwCkS7JA2inWgLktdmKOl7IZwC0S5Jg2gn2oLktRlK+l4Ip0C0S9Ig2om2IHlthpK+F8IpEO2SNIh2oi1IXpuhpO+FcApEuyQNop1oC5LXZijpeyGcAtEuSYNoJ9qC5LUZSvpeCKdAtEvSINqJtiB5bYaSvhfCKRDtkjSIdqItSF6boaTvhXAKRLskDaKdaAuS12Yo6XshnALRLkmDaCfaguS1GUr6XginQLRL0iDaibYgeW2Gkr4XwikQ7ZI0iHaiLUhem6Gk74VwCkS7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWjXPv385ddffz39Jvz6yy8/Wb3j589ffjkd9Ov2g/TGaCfqQ7Jrh45Z/OPHb2yuWO71GxulfxwP057w1geiXTtEvbtwt+j9/IU9z379hdu0U7QT9SHZtUPksM1QH8VbH4h27U1WC0+KbpjUwhPL4a7RTtSHZNcOEcI2Q30Ub30g2rUv673wYKUbrvbCA7vhjtFO1Idk1w4RwTZDfRRvfSDatSc/y14Y0pZX9cKDX/2Lw72inagPya4dIoBthvoo3vpAtGtH7vXCtBn+5KbKr+yrnaGdqA/Jrh0ifm2G+ije+kC0aze2VLzbZni/TR552XCXaCfqQ7Jrhwhfm6E+irc+EO3ai8uK9+uvfBn558/lXxFeN8PrNnn4x2oOfvll+jdvJl423CPaifqQ7NohsveBZniluEm7wm9CINq1E8sid/OlkbkcXt1wWQyv/2Gby2+zWA13iHaiPiS7dojotRnqo/hNCES79mFR4vIvE5++nHJ500UxTD8vvuibrGk/aCfqQ7Jrh0hem6E+it+EQLRrFxYNLu2FB4ceeHHjshiu/h3hsnKypN2gnagPya4dInhthvoofhMC0a49ONe3sr39ctEMF8VwtU2Gxb+EYzXcG9qJ+pDs2iFy12aoj+I3IRDt2oHzV0zudLefywrIIeHOF4/P1bBqkHpDtBP1Idm1Q8SuzVAfxW9CINr1/s4X/+5UvAvnvnf3qAd21VuhnagPya4dInVthvoofhMC0a73xzv+WG+b6+SWj4gf2lnvg3aiPiS7dojUtRnqo/hNCES73t58Re+R2vbgdcah+9DLo52oD8muHSJ0bYb6KH4TAtGudzd2PW+uehuvMz66v94C7UR9SHbtEJlrM9RH8ZsQiHa9u7mzsb3JXCc3f6eE/b1ouCu0E/Uh2bVDZK7NUB/Fb0Ig2vXm5o730MW8qU5u73lj96PXRjtRH5JdO0Tk2gz1UfwmBKJdb+7xjhdGat7QHem10U7Uh2TXDhG5NkN9FL8JgWjXm+Ptfuz9XvmfUa5xjL9ZO0I7UR+SXTtE4toM9VH8JgSiXe9t6niPXcnjoLFPoP3nrveDdqI+JLt2iMS1Geqj+E0IRLve21TXHup404fJD3Y8jvLj5P2gnagPya4dInFthvoofhMC0a73xrv9WFubLjQ++GWSqYWyqfdHO1Efkl07RODaDPVR/CYEol1vbegPBkf/YnDszvTCaCfqQ7Jrhwhcm6E+it+EQLTrrQ1dxhv8MNmPk/eHdqI+JLt2iMC1Geqj+E0IRLve2lAzHL72x3H+bu0G7UR9SHbtEHlrM9RH8ZsQiHa9Nd7sL/kzQ//QcH9oJ+pDsmuHyFuboT6K34RAtOudjX0uPFzwhiulXhTtRH1Idu0QeWsz1EfxmxCIdr0zm6GeinaiPiS7doi8tRnqo/hNCES73tlYVeOgx79IMvzVFb0o2on6kOzaIfLWZqiP4jchEO16ZzZDPRXtRH1Idu0QeWsz1EfxmxCIdr0zm6GeinaiPiS7doi8tRnqo/hNCES73pnNUE9FO1Efkl07RN7aDPVR/CYEol3vzGaop6KdqA/Jrh0ib22G+ih+EwLRrnc2VtX8brI2op2oD8muHSJvbYb6KH4TAtGud2Yz1FPRTtSHZNcOkbc2Q30UvwmBaNc7m5rhYx8MT83w4YI3fKBeFO1EfUh27RB5azPUR/GbEIh2vTXe7Mfe7enS38N/Lshx/m7tBu1EfUh27RB5azPUR/GbEIh2vbWhq3hjVxrHj9PLop2oD8muHSJwbYb6KH4TAtGutzZ2+Y+DHv0dGb7WqFdFO1Efkl07ROD+YHMFO9kMtY7fhEC0661Nl/Eee7unK40PVjyO8s8M94N2oj4ku3aIwK2b4T/ZyWaodfwmBKJd7413+7G2Nl38e+xj4bEWqldGO1Efkl07RODWzfAf7PQPtpe4yWa4e/wmBKJd7+1jHyc/1CcHrzTqhdFO1Idk1w79RuT+k+2UzVD38ZsQiHa9t/lC3lDJe+Si4dg96aXRTtSHZNcOVaVvNtVHm6HW8ZsQiHa9Od7ux67kTVcaH2l5U5v0N2tHaCfqQ7JrhzY1Q/ZJP3LmJpvh7vGbEIh2vbmvumjoJcM9op2oD8muHZq+XFL+oSG72AxV4DchEO16d7zfj73j80XDrdVwLob+Yu0J7UR9SHbtEZlb/aHhdF0xbX/VbdoTfhMC0a53N3e2h75pPH82vPES4KP76y3QTtSHZNcebfg4ufozQ5uhwG9CINr19oZK2/ka4Kaj5vt47B+60YujnagPya49mj9OXr1oOHXH/ANnbrMZ7h6/CYFo19t7sORh7npbjnpoZ70P2on6kOzaJWJ3vdtNlwzzHcobtSP8JgSiXe9v/qPB+71tscMDbc9iuFe0E/Uh2bVL8yXBlYuGUzFcuZ0bbYa7x29CINq1A+fmduffrvl1cfv5UuOdo36eT+9nyTtDO1Efkl37RPKuVL/50+aV7lffqv3gNyEQ7dqDbd0tKt6yAy6qYXkU+wSL4d7QTtSHZNc+zRcNs2o4F8O1S4rcajPcPX4TAtGuPVi0t/UPfA8fOl9cHTx/Cr1+2XBxwdDfqf2hnagPya6dmj8vvv328fmmtep352btBr8JgWjXLiyrYd4NTzXwsgAuW1/aDS96oX9kuD+0E/Uh2bVT5+uCV1cGz1cT15vfvdu1F/wmBKJd+3BRDX/8cl3ipoZ3Vf+WVw1//Fj+FWL4eXWrxXB/aCfqQ7Jrr5bV8Mdv//jHP8M/fjtfLwwrnyXbDDXhNyEQ7dqLi8t7h3JIk/v5y+KW6wuDl4Uy6t+vv8SBP3/+sjzoyL8x3CPaifqQ7Nqti2qYWS2GNkOB34RAtGs3Li/x5W4+Mr78vHhd9lmz3h7tRH1Idu3XnWq4XgxthgK/CYFo135cXwBMJAVvUzX0k+R9op2oD8muHauqYdn6tuyjPeA3IRDt2pO7lw2zS3/3Lxt6wXCvaCfqQ7Jr1y7+rHCp+F9UDuxkM9w9fhMC0a5dufrWyJW1L5Hc/FHhhZuvs2g3aCfqQ7Jr3/6ZdsN7lW/jbnp7/CYEol07s94N7/wj2Cu8XrhntBP1Idm1d/9c/DM1R7/V1wsPpj3Z1G7xmxCIdu1PUg5/vfoXaRLZhUMvF+4c7UR9SHYpyiH/XM1vv/3jfi2UZsd5fkS0a5d+/vzlV5re4R+iYfWuX+Ko42HHf72GRe0X7UR9SHZJGnXsAkdEuyQNop2oD8kuSaOohYFol6RBtBP1IdklaRS1MBDtkjSIdqI+JLskjaIWBqJdkgbRTtSHZJekUdTCQLRL0iDaifqQ7JI0iloYiHZJGkQ7UR+SXZJGUQsD0S5Jg2gn6kOyS9IoamEg2iVpEO1EfUh2SRpFLQxEuyQNop2oD8kuSaOohYFol6RBtBP1IdklaRS1MBDtkjSIdqI+JLskjaIWBqJdkgbRTtSHZJekUdTCQLRL0iDaifqQ7JI0iloYiHZJGkQ7UR+SXZJGUQsD0S5Jg2gn6kOyS9IoamEg2iVpEO1EfUh2SRpFLQxEuyQNop2oD8kuSaOohYFol6RBtBP1IdklaRS1MBDtkjSIdqI+JLskjaIWBqJdkgbRTtSHZJekUdTCQLRL0iDaifqQ7JI0iloYiHZJGkQ7UR+SXZJGUQsD0S5Jg2gn6kOyS9IoamEg2iVpEO1EfUh2SRpFLQxEuyQNop2oD8kuSaOohYFol6RBtBP1Idmlz/FPGsI/2dYe8KYHol3v7JfXeLN5lL+wqZdBO1Efkl36HDbDPeJND0S73pnNUE9FO1Efkl36HDbDPeJND0S73pnNUE9FO1Efkl36HDbDPeJND0S73pnNUE9FO1Efkl0v7tsUMZvhHvGmB6JdX+Un//1KNkM9Fe1EfUh2vbjfvksVe7QZ/vM3ftAL400PRLu+yq8/vr4b7qYZ/vyVH/SlaCfqQ7LrtR362D/4udeDzfC37/K49RG86YFo1xf5Ga/5l18U20sz/NULjj1oJ+pDsuu1/eOQgN/i6ttDzfC4sxcNX9/xLT8i2vVFjiXtq69s7aMZHkr3l7+0OqCdqA/Jrpf26Ee4T/TIQzn22R8/2NLrOr2RB0S7vsaxvYS7nyj//PnLr7+e9v31118+eCVsF82QJ8mWvhLtRH1Idr00Ktbig9lppS5o2/Z6yAPNcLp3Lxq+PN7JQLTra0wdrW4/P6fdFn79QDvcQzOcnqMXDRvQTtSHZNdLI8QWdewVmuH8sNnUy+KNDES7vgavenXNMKuFJ8OlZw/NcH5p2dQXop2oD8muVza1scXFt5dohr+xr99BeXW8kYFo15eYPkxe73jrvfBgsBvuohny2fvo4foA2on6kOx6ZUnBe4lmmDRavSTeyEC060tMFW31kmHZCw/Y7zG7aIb3W7eehXaiPiS7XhkRtvxU9iWa4XzRkE29Kt7HQLTrS/Cir73qU7kpsOdjdtEM54uGbOrr0E7Uh2TXC5vK2PJD2ddohtP9+3Hyi+N9DES7vsLU/Fa6z1RtKuz6mH00w+lZ+nHyl6OdqA/JrheW9bvXaIZTo/Dj5BfH+xiIdn2FqbukHyZfXTD89Zefp90O/34Na+G49Kh9NMPpeD9O/nK0E/Uh2fXCCLCLz2RfpBn6cfJ74G0MRLu+Aq95+qJfFMNfrrvjXA7ZfsxOmqEfJ3ehnagPya7XlX2Y/CrNcHoAfpz82ngbA9GuL1B9mLwshje98OhU79h4zE6a4fQ0/Tj5q9FO1Idk1+tKu9hoM/znbydsPu6xZjhVCpvha+NtDES7vsDU/pLityiGv6a98OBwTYwfH7OTZvjxE2gM7UR9SHa9rqnesXky3AxvVh401gz9Q8PXxtsYiHZ9gfWCtiiGq70w/PzVZljhBP6h4VejnagPya7XRXy9ZjP0Dw3fAu9iINr1BXjJk9ecG0JVDMNY6dlLM/QPDZvQTtSHZNfrIr0uP5B9lWa47XHqm+NdDES7vgAv+W3zmb97/KSrXXtphtPzvFOv9dloJ+pDsutl5VXsVZph3mv1YngXA9Gu51v9M8Op0DztY9C9NMNPOING0E7Uh2TXy5raHZt4tWboHxq+NN7FQLTr+db62fmPDJ91rWtvzdA/NPxitBP1Idn1svK/1HuZZsjDtxm+tNObeEC06/nW/gpu/iz5aR+C7qYZ8lLaDL8Y7UR9SHa9rFN2XX8c+zLNcHoIbOol8SYGol3Pxyt+XXzmS4bP+wx0N83wRZ7o26GdqA/JrpdFdr1qM/zwHeob4E0MRLuej1f8uvhMlwyfeKFrN81w9U859VS0E/Uh2fWqVprVyzTDlWarl8KbGIh2Pd1Ka5kvGT6xzeymGX7GKfQ42on6kOx6VTZD9eNNDES7nm6lGU6t7Zllxmaop6KdqA/Jrlc1lTs2J6/TDP0Kyhs4vYcHRLuebqWesfrUD0D30wz9CkoL2on6kOx6VSv/IyIv1wz9Csor4z0MRLueLv9q8nQl8aldZnfN0F/rr0U7UR+SXa+KYnX9YezrNMPpMbCpV8R7GIh2PR2l5ar3TKXtqd+Z2E8zfJFn+m5oJ+pDsutVkVxf0gz/+Y/TAb/9Y/2vAq9O8M9/HKvrb7+tHmEzfAO8h4Fo19Pxgl/1HlY/9D788uupdf76yy95waz70t3Dr5z2v933l19O59l2mmTv4/ZKM/zJ7r/Go2QpYzNsQTtRH5Jdr4rk+oxmOJW6heVp/zl97nvELTe97qIZTrce/ZY/locvMur74T0MRLuejhf8stdMHyaPXyejMc2yMxV9acvhF9+dmc4VLvZdrEd/o+2xeXvSi3u9u/fPi5OfD7i18jUfPRftRH1Idr2otV716c3wshceHA+qmuHN+fJvmXDj6kVFfX+8h4Fo17PlneWjzfCq1x3dnmu1GW47fPHQfy6PWPxt5FV1m25j4/qUj+093f3Sajfk9tHXU0NoJ+pDsutFfVUznPZcOhS9ohkmp0urIbfZDF8Y72Eg2vVseTOcOtLYNa6sMx1cn22lGW49/PzQL4+Y69dFX5wczsKPlz3tsb3T9hpWvrLDrTbDL0U7UR+SXS/qi5rhzQXDoyh6680wOVteDbnJZvjCeA8D0a5ny5vhVHvYfMxKZwpXtSlvhpsPPz/0i0PmvVYaZjxTfrroaZ+y98HlKwlusxl+KdqJ+pDselE3zQyf2wzzYngoeuvNkP9eSR4PJ7cZvrDTW3hAtOvZ6nbG5kPWm911t0vve/vhczO8PGRqX6vl7WfW0z5p74OsGvIQbYZfinaiPiS7XtSXNMNpt5PfAj/+4MvKSTOcLPcOyUVDbk4/adZrOL2FB0S7ni1vhixeXaTbpGp2V2fM7vuBw+dmyH9P5l3YPvk18GPcH/9d9jSWTu7tXRbDtBpyupEXVMNoJ+pDsutFfUUzXKzP3y8+/WM0sXD6z0oz/Me0+7kc3l4atBm+vtNbeEC069k+uxkum92vxzL18+IrvMtTJvf9yOEX/Yydf5kL3OJM09J0pummaT08tPfFHZ/+dZvpX685ua2G3Goz/FK0E/Uh2fWiPrMZHkzFbnkcS+HibOe2F1i7rJEsHczLtwXQZvj6Tm/hAdGuZ0vaWWDx8SKzaHGL3rVcXrSm2/t+6PBlQZuXpx/Oh1w8ictSx+Kje7MQlt9FXnyoffu62Qw70E7Uh2TXi6Lb3dSqT2yG0043d7Kshiwtm+Hl7vM622drT0Gv4/QWHhDtejY60VVlOS0OFBkOvD30XJvOZWrqY2wGFrYdvuhti4IGbri5aVn2kq63Ze9zjVzd++aFy19mPRftRH1Idr2otQtun9cM71/tO2Bl2Qyv7nramc2z6UGwqRfEWxiIdj1bfjHrtPh4kZkL3O2RyU03zfCxw89F7LYYzrvf3LQoe7ddb8vexd2u33RbgvV8tBP1Idn1op7fDKd9suZ2roYsLJrh9R8UTue5+UNDm+Hr4y0MRLuejQp1VcWmYsXmVnMzum12WVm7rksPHl7tzi2Ly4Kzc32bb2R7297rpbN4SDbDDrQT9SHZ9aKe3wxZyM/EbVkzvNmfdZvhG+ItDES7nu1Tm+F0WNbszrfO/eu6Lj14+FzDbgvddOb0TNON83EP7T3fa1IMF7eyPbl+qvoKtBP1Idn1op7eDKeF28+SD+aLhmwvmiHbZ6zbDN8Qb2Eg2vVs9K2VZpi2n3UctXLYTWu6rktsbj18rYWF8vHPx03N8KG9yxqZ9NcTm2EH2on6kOx6UU9vhndOxK23zXD7v05jM3x9vIWBaNez5c1wKjJX/eaOO6Vpvn1qYFd16dHDp86W7L9+y8F0ounZsbltb7ZW6uvaya6eqr4E7UR9SHa9qKc3w+mqIJvXbm62Ge4Rb2Eg2vVseTMsSldhul7G5o3prFMju6pLjx6+/iCv97xydfNDe9/Zee1Z2Aw70E7Uh2TXi3p6M2T75g5wU+tshnvEWxiIdj1b3gznK2NsbrNyrrPT7fNZ82a4+fD1kjad+M51PQ58aO/pTtd2ns92+ahshh1oJ+pDsutF3atbtwVtaXszXDvPajO8raQ2w/fFWxiIdj3bSh2brnytXhrL3D3mqh9dbbK1+fD7zZDNG9zMgQ/tfW/nladx/zB9PtqJ+pDselEfa4YcXTTD9aJ3Mt3Ops1wn3gLA9GuZ1tphlOTWb+Al+CY+9WOC25XdYmtzYevX767d/WR27mnh/a+X/HY4fJ09w/T56OdqA/JrhdFrRpshuy0KGWPNsPpFGzZDPeJtzAQ7Xo2KstNLTotP/RG3P2g9XqPy7r08OHjzZA73tgML/a+t/PKHjbDDrQT9SHZ9aLWatVU0G562AV26m2Ga+t6Hae38IBo17OtVRb6TVWBrtkMj9I97h+mz0c7UR+SXS9q9YIb6+WVuKnF2Qz1Mae38IBo17OtNcNp/YF3wmZ4ZDP8Nmgn6kOy60V9qBkmHznfFDu21z6VnvZn02a4T6e38IBo17OtNcOpyzxQZqamRuFKXN1Z3gw3H77eDFefFHhu3NNDe08vy3EjxQ6XT8Nm2IF2oj4ku17UTTOb0LfKPzT8Hs3wtFw+UH1zvIeBaNezTfWKzbOpLxVN7drdA6462NUmW5sPb2mG93ZeeRrpop6MdqI+JLte1GoRm1pfdSmOXZYH35zvzhW9m2uWNsM94j0MRLuebb1eTVfHkptWsP/6m3d15SxvhpsPX3/o67eccDM97aG9p8e82vHys7FoM/xStBP1Idn1qkiu2yLGDcXHyVOJW+6y1gzXTsOtNsN94z0MRLuejhd8vV5t/wh0ak1rFWu6r5Vm+Ojh95vhShG7aneP7c3W6ouSPwsWbYZfinaiPiS7XhXJddurpkq3ftGQHS6OvSl2ySfOC7fl8uFmuH6AXgbvYSDa9XS84ElnmS8abq2GdyrWfMLp9qtm+Ojh681welIrv0bXJ2Jz297T5mnrxvSgLm8vHqqeh3aiPiS7XhXJdVvcpkq3WrnmVrfc4bansZAXzPlO2LYZ7hPvYSDa9XS84Fkd46YN1ZDGw+4rBeimNF01w0cPL+pWfuFuwo3zc35o72nnldfkunWe2Axb0E7Uh2TXq1r7jPY8rVcuGs7F8OL22542XXvMmtt8jk9ohmzqFfEeBqJdT0eVyYrO3MV+/FpXmp+8X3VrmkrTfOt1M3zw8KJuTTelZ5pONLe3x/ZmM29580t2eeu0zKa+Bu1EfUh2var1Zjhfz8ur4dT4LjvcbbG7vSx4Np/jA81wOj+bekW8h4Fo19MVzfDcc+qrXdHoTj/M+2dnmyvWfKrrZvjg4dPu2UPjpqtLd0fnJzXfyPa2vW8fyNnaM7h+pvoStBP1Idn1qopixS15NZxL3eWNSbFjJTnLuRjaDPeN9zAQ7Xq6srTMLWilOh78POzEz/P+t3snN93c9WOHV81wOvXtjeeqdy6CD+19Xir2vrrJZtiCdqI+JLteVVGsppIWbey6p51vuqpwSbGbLxped7pFMfxAM1xZ1is5vYcHRLueri4tcyELaTc89sL56HM1ut75fCIWws1dP3b4tHfWDOfLgNe3nu9i0QxXG1269/mxrO497wsOSV9BPQ3tRH1Idr2q9SZ2Ud0uitc/FzdcHZedbt77omAuT/KRZnha9R+teWm8iYFo19OV/eqyGv749brxzF2I7WWVWu47X5S7WL4tpQ8dXj7y85kuHvPiTMtbzstb9j6/Jsu/v6QjH7E0Y/ni5Ho62on6kOx6WWRX2qyW5e233/7xj3+Gf1w0uuuelhW7aS38Nt3NP7mSOJ2M5ceb4fr+eh28iYFo1/Pxiq+1lkVZO/j1F8rQz5/L3nRaC8sm+cvP476/LNeWl82mE7B58MjhZTNcnml6yNOpppsWT/mhvZcvCa/HxYtx84jqR6pnoZ2oD8mul0V25Z/GXrTAxM1RaVG77JKBH2Pj5sNsm+Ee8SYGol3Pxyu++knn8lrYKvYN9d4X95I0w0cOr/vWZaP9NfBjHMB/F83wI3vfuHlA0/42w69FO1Efkl0vKy9ck7oa3h6UF7W1s/x2+2eOjzbD4u8k9TJ4EwPRruejA602w3tt7Yg9D6q9L+8ka4YPHH6nb63Wt5/ZZdJP2vvg9vGkT1RPRztRH5JdL+tOtaqqYXKdbqXY5WeJkvfhZjidmU29JN7EQLTr+TbUlvuXDdnxaH3nq/aZ3/Pmw+9diVupb7E7Py273ufsfZA8nOkpsakvQjtRH5JdL+vex7HT7TduvrB8sHa2qQEuHTreh5vhadEvoLw23sVAtOv57hWso4s/9rtxUZrWa9P1Pax00q2H333gaaE97M2Plw87vdvVvdcKbHrplduuzqBno52oD8mu10V6rXerrNWtNcnVYnf5VeSD4x1+tBmu764XwrsYiHZ9AV7yO71lvRsmzWzqfEu3nWn1auW2wzdU2psTnb5MzMb1M77d+7jMxvXeq73zxoYHqmegnagPya7XlV+Lu3D5feTwj7UmVjS1y5Nwho82w+l4m+FL410MRLu+AA0nvdp1ISmH81eVr121rJt/7+ZgtRluO3xL4br8zvB0GjZvTvrY3jfd8N5rYTP8YrQT9SHZ9bqmwsbmin/8g+8UH/7xGtYeFuc43tX4Ga7dNEu9It7FQLTrC0z9hs3Sz1/mr+3++staEzr5+cv0z76kve6eDx5+Fg/5dJ5Np3ls7/8nHuS0//qLUTRgPRPtRH1Idr2uqVy95J/q8dirC576/ngbA9GuLzAVl48VMK3i9b1/UVafi3aiPiS7Xhj59Yrtavrs2S+gvDbexkC06yvwmttcnmP61Nvm/dVoJ+pDsuuFbfs4+VvyzwzfA29jINr1FU6fh/qiP4l/ZtiFdqI+JLte2At/nMwj988MXxxvYyDa9RX8OPmpeHX9nf5ytBP1Idn1wqaPZF/v42Q/TH4TvI+BaNdXmD7u9OPkZ/DD5Da0E/Uh2fXKSLDXu/Lmh8lvgvcxEO36ErzovurP4IfJbWgn6kOy65VNf2j4cpfeeNx+mPzqeB8D0a4vMf2hoZe1noDX1l/pr0c7UR+SXa9suvT2ah8n+2Hyu+CNDES7vsR0WcuPkz+fHyb3oZ2oD8mul/ai306eHrYfJr863shAtOtr+O3kp5leWj9M/nq0E/Uh2fXSXvOi4XTJ0A+TXx5vZCDa9TW8aPgs0yVDf6Mb0E7Uh2TXayPEXuvimx8mvw3eyUC064vwsnth67P5YXIj2on6kOx6bcfPZX97tU9lqYZ+mPzyTm/kAdGuL3L8zPNXi+Hnoxr60jagnagPya7XduhYr3jp7dBovWT4+o4z9Iho1xc59Bcvaz3HoXX72nagnagPya4X99uLXnn7h5cM38GxFB4R7foqv3pV62l+8ZJhD9qJ+pDsenH/fNV+9c/X+19u0Q1qYSDa9VV+2l2e56ff7GlBO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLhX+l1ShFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFU19v7nf8+iFoY/mBFyjD6pQLtRH0Y/VKBVNfb+/NPfngMtfDAaqgCo18q0E7Uh9EvFUh1vb0/fwxVQ1rhkdVQ6xj9UoF2oj6MfqlAquvt/fnjoWoYu996oBr+wSGDH2Lr5TD6pQLtRH0Y/VKBVNfbO1S9B2pa2gwf+BaKzXBvGP1SgXaiPox+qUCq6+0dq972i355M9x+1dFmuDeMfqlAO1EfRr9UINX19k5Vb3M1zJvh9mpoM9wbRr9UoJ2oD6NfKpDqentUva3VcKUZbq6GNsO9YfRLBdqJ+jD6pQKprrc3Vb2N1XCtGW6thjbDvWH0SwXaifow+qUCqa63N1e9bdVwtRlurIY2w71h9EsF2on6MPqlAqmut3euepuq4Xoz3FYNbYZ7w+iXCrQT9WH0SwVSXW9vUfW2VMOiGW6qhjbDvWH0SwXaifow+qUCqa63t6x6G6ph1Qy3VEOb4d4w+qUC7UR9GP1SgVTX27uoeverYdkMN1RDm+HeMPqlAu1EfRj9UoFU19u7rHosrqub4f3CZzPcG0a/VKCdqA+jXyqQ6np7l1Xv7kW/O83w7lVHm+HeMPqlAu1EfRj9UoFU19u7qnr3quG9ZnivGtoM94bRLxVoJ+rD6JcKpLre3nXVu1MN7zbDO9XQZrg3jH6pQDtRH0a/VCDV9fZuql5dDe83w7oa2gz3htEvFWgn6sPolwqkut7eVPXOla+shqvNcHFDVQ1thnvD6JcKtBP1YfRLBVJdb29qdIvOV1XD1Wb4+9T5QlENbYZ7w+iXCrQT9WH0SwVSXW9vbobbquF6M5xLX1ivhjbDvWH0SwXaifow+qUCqa63d26Gm6ph0Qw3VUOb4d4w+qUC7UR9GP1SgVTX21s0wy3VsGqGW6qhzXBvGP1SgXaiPox+qUCq6+0tm+Gi9601t7IZLqvhce9bNsO9YfRLBdqJ+jD6pQKprrd30QwXxW/lol/dDBfVcOWqo81wbxj9UoF2oj6MfqlAquvtXTbDu9XwTjO8Ww1thnvD6JcKtBP1YfRLBVJdb++qGf4vNkNaDe81w//1O9sr1dBmuDeMfqlAO1EfRr9UINX19q6b4fmiX1oN7zbDxR5ZNbQZ7g2jXyrQTtSH0S8VSHW9vetmeKca3m+GdTW0Ge4No18q0E7Uh9EvFUh1vb2bZlhXww3NsKyGNsO9YfRLBdqJ+jD6pQKprrd32wzLarilGVbV0Ga4N4x+qUA7UR9Gv1Qg1fX2kmZYVcNNzbCohjbDvWH0SwXaifow+qUCqa63lzXDohpua4br1dBmuDeMfqlAO1EfRr9UINX19tJmuKyGrGBjM1zsd3mDzXBvGP1SgXaiPox+qUCq6+3lzXBRDS8v+m1thosdL6462gz3htEvFWgn6sPolwqkut7eSjNcq4abm+FKNbQZ7g2jXyrQTtSH0S8VSHW9vbVmuPI/ZrK9Geb/ayo2w71h9EsF2on6MPqlAqmut7faDBclcFENH2iG56uOi2poM9wbRr9UoJ2oD6NfKpDqenvrzTCthg80w7Qa2gz3htEvFWgn6sPolwqkut5e0QyzavhIM8yqoc1wbxj9UoF2oj6MfqlAquvtVc0wqYYPNcOkGtoM94bRLxVoJ+rD6JcKpLreXtkMb6vhY83wthraDPeG0S8VaCfqw+iXCqS63l7dDG+q4YPN8KYa2gz3htEvFWgn6sPolwqkut7enWa4qILHZvdoM1xUw2O1tBnuDaNfKtBO1IfRLxVIdb29e83wqho+3AyvqqHNcG8Y/VKBdqI+jH6pQKrr7d1thpfV8PFmeFkNbYZ7w+iXCrQT9WH0SwVSXW/vfjM8N7uohgPNcHHMnzbD3WH0SwXaifow+qUCqa63d78ZXlTDkWa4rIY2w71h9EsF2on6MPqlAqmut7ehGS6r4VAzXFZD/msz3AtGv1SgnagPo18qkOp6e1ua4bIarqmr3k2htBnuBaNfKtBO1IfRLxVIdb29Tc1wQzW8U/Wuq6HNcC8Y/VKBdqI+jH6pQKrr7W1rhver4b2qd1UNbYZ7weiXCrQT9WH0SwVSXW9vYzO8Ww3vVr3Lamgz3AtGv1SgnagPo18qkOp6e1ub4b1qeL/qXVRDm+FeMPqlAu1EfRj9UoFU19vb3AzvVMMNVW9ZDW2Ge8Holwq0E/Vh9EsFUl1vb3szrKvhlqq3qIY2w71g9EsF2on6MPqlAqmut/dAM/xfv7NvZlPVY99gM9wLRr9UoJ2oD6NfKpDqenuPNMOLz4OvbKp656uONsO9YPRLBdqJ+jD6pQKprrf3UDMsquG2qjdXQ5vhXjD6pQLtRH0Y/VKBVNfbe6wZrlfDjVVvqoY2w71g9EsF2on6MPqlAqmut/dgM1ythlurHtXQZrgXjH6pQDtRH0a/VCDV9fYebYZr1XBz1TtVQ5vhXjD6pQLtRH0Y/VKBVNfbe7gZrlTD7VXvWA1thnvB6JcKtBP1YfRLBVJdb+/xZphXwweq3qEa2gz3gtEvFWgn6sPolwqkut7eQDNMq+EjVS+qoc1wLxj9UoF2oj6MfqlAqkuZZTVk6SF/2Ax3g9EvFWgn6sPolwqkupThC8ZHLD3mT5vhXjD6pQLtRH0Y/VKBVJdSi2rIyoP+4L96d4x+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdvJ5/sf/4AdtxOiXCqS6lKMWBhakFKNfKtBOPs+PH3bDxzD6pQKpLuWohYEFKcXolwq0k89ziCa74SMY/VKBVJdyx1J4xIKUYvRLBdrJ5zmFk91wO0a/VCDVpdwpeA9YkFKMfqlAO/k8pJPdcDNGv1Qg1aUcuRtYkFKMfqlAO/k8pFOwG27D6JcKpLqUI3UDC1KK0S8VaCefh3Q6shtuweiXCqS6lCNzAwtSitEvFWgnn4d0gt3wPka/VCDVpRyJG1iQUox+qUA7+Tyk08xueM//K91Fqks58jawIKX+P+ku2snnIZ0WXq8b8sAlSZL06V6tG/KwJUmS9ASv1Q150JIkSXqKV+qGPGRJkiQ9yet0Qx6wJEmSnuZVuiEPV5IkSU/zf/zvVK9vjocrSZKkJ/k/X6QX2gwlSZKe61WuFx7wkCVJkvQEr3O98IAHLUmSpE/3StcLvx7/82dSgf9lKy39wX/l/zqetuJ//kwq0E4+D+m08FrXC78eo18qkOpa+OPHn/wkm+GtP/z1yDD6pQLt5POQTjOvF97D6JcKpLoW/vzx48+Ly4a/8989Im8DC5f+2N/11fj12PMvxCpGv1SgnXwe0gleL7yP0S8VSHUtHCNm2Xj+3PFFouOLccTCpT8uXqgd+OPwUnjRMMHolwq0k89zzCZ4vXALRr9UINV19ucpZRbT/88dV4HTi3HAwqUoSruqhr8Xr8XOMfqlAu3k85z+D/LA64XbMPqlAqmuM3JmMf0PHy/z4xZUy/eoDzyXwMKlwyW0B6rh8YpbeNWPYymGXjRMMPqlAu3k8/B/kV4v3IzRLxVIdc2S4X+oeg90mW/ZDP+I5/XnQCHjuQQWLh2rHj9v8KRm+Hu85L9/ybVLHv97tP7PxeiXCrSTz3P6v0evF27H6JcKpLpmU69bFI3j0vbi8R2bIZXs8Wtdp+MOWLh0PO/2sz6nGfKCf0U1nN7bV73o+USMfqlAO/k8h/9r9HrhIxj9UoFU1+w4+C/bzqkObC4e37AZTo3s8UbDcYGFS6cTb66GT2mG0+v9FS/49AQer9hvj9EvFWgnn8frhY9i9EsFUl2T6cPkZXd58JrUN2yG07N6/EFxWGDhEk1pa1F6SjPknF9zIe8bvrnfBKNfKtBOPo/XCx/F6JcKpLom2eSf1jZWw29YHnhEgYXNOCywcOnBa2jPaIbn1vsVzTD7/xx0wOiXCrQT9WH0SwVSXRMG/0XTmarexmr4rZvho3+Mx2GBhUtT1dtYDZ/bDL/kI96vvK+XwuiXCrQT9WH0SwVSXUgvCc3NcFuv+obN8PwMWNiMwwILl+ZmuK0qPaMZnh/Cl1zH+4bv7vfA6JcKtBP1YfRLBVJdSOf+uVdtqobfsDvM19UeLk8cF1i4dK5lm6rhM5rh+SGy/Vx+nLyC0S8VaCfqw+iXCqS6QKu7bDmLZrilGn7DZpg/ry1Oxx2wcGnRDLec/MPN8M+Ti3dhOumjH5QP4t5shlcY/VKBdqI+jH6pQKoL6dhfNsMN/eM7NsPTpa6BNnN8JkcsXFo2ww3V8OPN8HT85T39cVi9bItPdHoEAyX7zTH6pQLtRH0Y/VKBVNdJ/lHhRTO8X/i+ZTOM/jRUnXgugYVLF83wfuF7TjMcfW5jvunb247RLxVoJ+rD6JcKpLpOpmbIJi6b4d2LRW9VHXgugYVLl83w7gXVZzXDrzT9jnxhGX0JjH6pQDtRH0a/VCDVdZIXj8tmeLeW7LgZ3qtL79AMp5dk+Dm8KUa/VKCdqA+jXyqQ6jrJh/5VM7zXS/bcDO9Uw3dqhq2P4Rti9EsF2on6MPqlAqmuo5Xict0M75SCXTfDuhq+RTP8Do/hG2L0SwXaifow+qUCqa6j/M8M56p3bohlK9hjMzy/NGU1fItmuPJbsneMfqlAO1EfRr9UINV1dKcZzj/U1WSPzfD3xcXDohq+RTOcnsSdv6ncG0a/VKCdqA+jXyqQ6jpa6R3nqrepGu6yGc4/hfXK9BbNcHpNhp/Ee2L0SwXaifow+qUCqa6ju81wUzXcZzPcVA1thu+L0S8VaCfqw+iXCqS6jlZG/rLqbaiGO22GW6rhezTDb/Egvh1Gv1SgnagPo18qkOo6WOstF1XvXA3X6s1em+GyGh5vvPVWzfA93uBPw+iXCrQT9WH0SwVSXQdTb2FzdtkEztVw5crYbpvhohquVLf3aIZ+OTnD6JcKtBP1YfRLBVJdB2sT/6rq3auGVTP8/ffTrb//vv41jcf88fvpYf/5+3DdOpzk9LD+vDnLcfmIhUtXVe9eNaya4aaXhtf2oWb4+588uY0vOvv/ubq3zTDD6JcKtBP1YfRLBVJdBxub4aItpd3hevez6Q6O/uRgNg9laToy73jTrcta9Me0eMRxyfNgt7RR/XHxsM4P7Ii1wMKl66p3PlV+V9x4+wTvvTTh4qmeHNenk6ZvBnVzlr20yxcnfUGvlHe4W4x+qUA7UR9Gv1Qg1XWwVp+mssDm3AxCVg6ud59cFbDpjtg4lJD5xMcbrnHb4j4va8zB8baHmuHiycwW3ZCVwMKl6ei5Qp0fUVYNb3bH/Zcm3DxZHtN00uS9SA5J2t7ixbk5IHuDrx6Xjhj9UoF2oj6MfqlAqutg0RAuTHWBzYs2VdQRNnHb4sLhaH481oxpn6xzTO3p/PBu+lQ43PpIM8weVZh3ZDuwcOm26p1PeHtnK81w00uTPtTj+mozXLxNF653PL84yV0kb7DNMMPolwq0E/Vh9EsFUl0H54ZwaeoLbIayGt7uHlZaShzNT8eaMe91POYSt5zvMKkxIR799ma41p0Cd8NWOG1fmU6wKEnnh3VbDZPdt7406fM9rk/HX78T+etzcPXA5hcnPeL6tIFbbIZLjH6pQDtRH0a/VCDVdbA28KfCwObBos3cNIdk97X2cziaH073Oh17WzpuLhmmNSb8ub0Zrj6qg9PzYiMcN69NZ1g+3vMDu6mG2e5bX5rsCR/XpxNcvRFrr8/B5QObXpzsGmzyJOYDbt+kPWP0SwXaifow+qUCqa6D07y/HfhTx2DzaNFn1q5VsXnE0smfgR9jL/57utf5tMetpemI6d4ua8zylHxZ+eIc3HjZclY72cnxnvg5HA+5Np3i4jU7P7nrVpXtztJJ8dIsTjs7rk8nvXwfkr0XLh7Y1a4XjyFcv78rr+beMfqlAu1EfRj9UoFU18Fp3m9rhstadVUdkt0XTWM6+/SN4Okm1tm6qSNT25vayOLu5++LTN/DXX8AF11mcYq4++NJpn+95uSwxI/hcPuNrOotn+5VeUp2X9zhnZdm+dBwXJ9OevGSLXf+83iCPy6+g718YBf7TmdZvDqsnHGAzXCJ0S8VaCfqw+iXCqS6Dk7z/qrlhKk5sInV6nC7+7mSFNXsau20OZtOOj04NsNqIVqeIusyp6WD5b9Ts/g6yGFvfgynm69MD/fqNTuf4/KG290feGkOsucx7bt8IRYlcPkIFsuLvRcv2vIc8/LFK3yQPYrdY/RLBdqJ+jD6pQKproPTvF8tAtfd6NxeLivC7e4s3Jx62X+mAsPm1a5TpZnuaa441+1k0XLuNMNzS1p9VLE7PwVuvTTte1kAlw/j4uS3u7Ow6aUJyfOYd12egaXq9TnvvvJg5/XrJze9dNfn3jdGv1SgnagPo18qkOoKWcM4mhoCm7Nze7noCDe7z83j5syL/jPVj2npsnZclZT5uNtyMt/ZnWZ4vuviUc1fAgnceGna9aY8nR/G8vQ3uz/00oTb53Hec3GK+bTF63O+aW3v1Sc3lWo2dcDolwq0E/Vh9EsFUl0haRgnU3Ng8+x82W3ZKW52Z/u2YSz7z3wj22mjmu5mvmO2l+aes7yRxcXDnHe7ebqLR/XncDNcHLi4g5vd2d740mTP47zj+X4Wj//W7ROfV9iesXyzbjNMMPqlAu1EfRj9UoFUV7htGJiaA5sLc6fIOhebc4/Iasq5483156Y9hemU0xqbWatbdDK2DzjB+SHM5Sk9xXzrouBx06XswZ7Mp8gq27T7gy9N8jzCdNLz3UwvV3ramxdzffe1Bri2vmuMfqlAO1EfRr9UINUVbhsGpubA5tJ007JWXO8+bdcd7Fx/WFjuz8p0H9NBdfNZPl7WzgeUnex8jrmdrdSg66q3MD+zxTO53v3Rl+b2eYRpv/NJWMhPez4v2+cny/bMZvgARr9UoJ2oD6NfKpDqCrcNA1NzYPPCdNuirVzvzuZKB5taxrmWXNen2+oyHZM3n7kYsXnAGc6P4bS9eor5QfPfwA2Xbh/r2dzAzvdyvTubm1+a2+cRbt636biV0968fNdv2OzmzJhOwKYOGP1SgXaiPox+qUCqK6z1gPXmcHDuTlMRudr9ug1dSW5m5Xx/bM9Np3xA6c0szWe486CWT2vCDZfK80w3Bl7Tq93vPIrk5uvncTDtNr9vd16em/Ou7n9zZtgME4x+qUA7UR9Gv1Qg1RXWesCdpnHuUPSVq92vr1Bd4+ZF/ZmOmJaut+9casuKC4/pphmuPaj5HGfccOm6ZF2abg2nO7ra/fGX5vp5HNw8l2ynC6fb56d09Yadrb1KyQssRr9UoJ2oD6NfKpDqCms9YL05nEw3T13kavd7NYKbl92KpekQts5Nh4W8jm1qhve7DTucsX7pqupdm24Ox1f1avfHX5rr53Fw876xvfby3NxvdtKjtd+I+6/eDjH6pQLtRH0Y/VKBVFdY6wHXVe/GdDuHXu2+2jvA7cseMzWP0yOZtuY9Vh8optvZPLh+EPe7DTucsX5puqu1Fjbdzl1f7f74S5MdcfNysL32mK5f3/WHcXNm2AwTjH6pQDtRH0a/VCDVdcC8vylcNIf1IjDtcDr2avfV3gFqxkWPOS1xCn4+3/1aYZlxO1sH1w/i3oNaPiewfumq6t2adjjd19Xuj7802RHXL8fdl+d6j9WHsXYmm2GC0S8VaCfqw+iXCqS6Dpj3Ny1nKklsJs41KkrE1e6rvQNZM5yqx6GSTD+fd7hbfbidrYPrB3HvQS2fEli/ND2Um9dsNu1xvLOr3R9/abIjrl+Ouy/P9R6rD2PtTPdfvR1i9EsF2on6MPqlAqmug9O8v205U0liMzFViPDH9e73akTWDKeHcjjo9t7vVh9uZ+vg+kHce1Dnu52xfml6KOvNcHGiP693v/cobIYvhNEvFWgn6sPolwqkug5O836kGc4dIvxxtft0zY/NG+x+ea/TQX/MPy1vT5aWpgfD5sF1l7n/lNjhjPVL012tPZSD6b7i7q92f/yluX4eB9f97f5jurrf7KRH12eerB6wZ4x+qUA7UR9Gv1Qg1XVwW0ROWC9q1LlEhKvdh5rh+aJhducsrVWf6bGwecBZ5i5z70F9ZjOcn8L5pWH35zTDey/Px5shy+WT3h1Gv1SgnagPo18qkOo6WGsIU59hM7eohri64bpeTLj5qmZM5WX+L+tHq1XmJClc10ekp11afTqXpt3qkjS9gDN2f/ylyZ75zVnYXn+/rs6y+nKuPT6W6ye9N4x+qUA7UR9Gv1Qg1XVAXbppCFOxYXPFTZe6Wl/pESsd7fpsLJ/ceUDcurz5pvyctpM2hOlhnXHDpTtPbjI94Am7P/7SZCVuOsvc36bj1grn9ZPPTnp0c2awfOdJ7wyjXyrQTtSH0S8VSHUdTI2CzdmdIjZZK3Nsrhw+nfy6ZlxWs8tbk8q0MD8Otg9uys+d53T9XAK3XJr2u1eSprvDtDub21+am+cRbvrbvQd1fd7spEc3Zz5ZWd45Rr9UoJ2oD6NfKpDqOvhgM5wbA1i9cwmLG29qzOXJWJywettlDuZOyfbBTfmZdspPcS5P/Ddwy6V7JWw2nfBk2v3hlyYrcbdFjYWV086vLNvpSY9uz3y0srxzjH6pQDtRH0a/VCDVdbA28adWw+a6uXMcsTivpiVsbkw33WpRym5unI7Kusn5QbBwcFt+Tgsr9WY+x+IZcdOl6fa7zfD8RA+m3R9+aW6fx/kk52dS197pvPOt2UmPbs98NC2zqSNGv1SgnagPo18qkOo6WCkCc5VgszCd4Yi19cuC4XzAzY3Lc7E0m1sj20tzoVreeFt+5t2Sajjf9Z/zY1959tOe95vh4nEtdmd780tz+zzOO56fyOLx37p94tlJj27PfDS9+mzqiNEvFWgn6sPolwqkuo6Y+Nc1ZeoSbFbOdWax+9zjbkrYYvfbbnS+aHjbWbghuWVRwFg5uC0/57suHtUfn9gMl49s3v3RlyYrcdOei1PMd1W8PuebspMeJWc+sBlmGP1SgXaiPox+qUCq64iJ/4FmuKhzi91ZuKkYi/aTdKvzrSwszHdzXWfm4hNYOkjKz3nP1UcVj4mfArdemva9ffQJ9g3n3VnY+tJkJW7adXGG89Hrrw8LITvpUXLmg9X9d43RLxVoJ+rD6JcKpLqOVkb+1CbYrGXV41xULhrUokWm3Wq6Pasg8938uawt8//+yhGLB9kzO++7PMfyFLHJT+F085XpmW1qhtnL8OBLkz2PrL+dT3tx3sVp75z0KDtzYPXiAYvRLxVoJ+rD6JcKpLqOpuLA5mTqSmzeMTcrtg8Wbev3qWb8flqcbkp6xlRM2LywqD5/Tof+weNPHi9LaaM6+PP0sKYznByW+DEcbr8xnWNbS5rv8baWHWx4aarncdHfFqeN8x5v4qwnyzNkJz1Kz7yyunuMfqlAO1EfRr9UINV1NPWiq5k/NQo270l2nyvR0Z+BH+O++G/WrU573TaWg/MZwsUZ/0wKLrdenuryUd04vgr8HI6HXKsefSLZ/bGXJnse026X79rF63Pj4gTpi3OQnzlf3T1Gv1SgnagPo18qkOo6Wpn5U8lg8y72Z+toOvON+TseWbc6HcXGtbXq82d26TMvP6uP6uD0IrARjpvXpjNsbIbT/svdH3ppsucxnWDlXctcvg75ixPyMycvr2yG2oJ2oj6MfqlAquuEmX/Vc6aOweZ9pwPYOFnpP9E5+CntVocT3RYW5NUndt/cDNdb2dyG2Aqn7SvTCbY2Qw642P2RlyZ7HtPxV81w5fU5uHoZVl6ctTNP52VTJ4x+qUA7UR9Gv1Qg1XWSd4THq8DxCH7G5ZdDcKgc/Jh2q0M14cfE1ACXDg99ezM8P7cr845sBxYuTd1pczM8HXG5+wMvTfY81prhfMO1lQp5++LkZ2Zx+1PeB0a/VKCdqA+jXyqQ6jrJPyicigubWxwO4cfZTZE7fSWYjbxo/Jn0lbPbSnU8yyPNcL2WnbAQWLj0eDM8HnK9++aXJnseq80wOW+4fQ1WX5z0zMXd7RqjXyrQTtSH0S8VSHWd5FN/6k5sbhLH8NPZ5Td/p68Us5l3qz/u3OnF922nL/c+1AzjPi7OMZ/lhLXAwqXpBXugGR6Oudl960uTPY+yql11w/l73EurL0565umM6d3tGKNfKtBO1IfRLxVIdZ2MFJ0Vf6ZV6o/pH2TZeg9pl7vwO9/mvSh011bLz8nv00n412vOjqtHLHyCP9LX9+GXZqM/4smdTvw5Z056twKjXyrQTtSH0S8VSHWBqf8JY//e1b6vdacZrjsdd8DCZ/js8veleDkefynfHKNfKtBO1IfRLxVIdeETPyr8Vp82fq9m+L1em8d84mXl98Lolwq0E/Vh9EsFUl1417n/zZrhC/PPDFcw+qUC7UR9GP1SgVTXhLn/bj3IZvhZeDV8Oa4x+qUC7UR9GP1SgVTXhAr1bpeEbIafxA+T1zD6pQLtRH0Y/VKBVNdk+rDwzSa/zfCT+GHyGka/VKCdqA+jXyqQ6ppM14TerAjZDD8JL4avxg1Gv1SgnagPo18qkOqaMfnf7KKQzfBz+GHyKka/VKCdqA+jXyqQ6pq95+y3GX4OXkc/TL7F6JcKtBP1YfRLBVJdZ8z+9xr+NsNP8aZ/a/ApGP1SgXaiPox+qUCq64zvGDxeor4zm+Gn8MPkdYx+qUA7UR9Gv1Qg1XV2mv5+N/nkdNwBC/tGNfTD5FuMfqlAO1EfRr9UINW1EC3qz3cb/TbDz3J4Jb1kmGD0SwXaifow+qUCqa6FP97sk+QDm+Gn+d1LhilGv1SgnagPo18qkOpaesNLQjbDz/PH+/0/Dp+B0S8VaCfqw+iXCqS63pzNUE/G6JcKtBP1YfRLBVJdb85mqCdj9EsF2on6MPqlAqmuN2cz1JMx+qUC7UR9GP1SgVTXm7MZ6skY/VKBdqI+jH6pQKrrzdkM9WSMfqlAO1EfRr9UINX15myGejJGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXDv7Ff6VHUAsD0a639W/+Kz0L7UR9SHYp/Os//CA9gloYiHa9rb/+4oeP2n6ev22j+0I7UR+SXQr//cEP0iOohYFo19v668cnVcPtvyv/thnuC+1EfUh2Kfz4cfei4X9pAHf8l921C7zrgWjX2/rrx0PVMHbPfzH+/rG5731WF9WLoJ2oD8kunVofP67a2Az9WHpXeNcD0a63dah6D1zDW22G/97c9/7212pnaCfqQ7JLp/l+7zso25qhlwz3hbc9EO16W8eq9zcb9xXNcGvBzI7WO6OdqA/JLlH62FizrRn6Hed94W0PRLve1qnqba6Gq80w1rZdNPw79vQPDXeFdqI+JLvEeL9T6jY1Qy8Z7gzveyDa9baoelurYdUMt53kcAab4a7QTtSHZJf+c4jqu61uUzNkX+0F73sg2vW2pqq3sRquNcPDlcBNFw0376i3QTtRH5JdOgTwQX3RcEsz9Osne8MbH4h2va2p6m2shmvN8N/pamLzjnobtBP1Idm1e1wy/ECvm0sj29oN3vhAtOttzc1w+2fBB2zOToVvw6fEx/38vdoV2on6kOzavfPFwMGvj3y8WupV8c4Hol1v69wMN1XDtWa4snzj1CD9Q8NdoZ2oD8muvZt73XCzm6qlXz/ZH976QLTrbS2a4ZZqeKcZ3m18W/fTG6GdqA/Jrr1b/v0gS4+Zq6X/Ys3+8NYHol1va9kMN1TDlWZ4/F5JuPfVkq376Z3QTtSHZNfO/YsAPhq6aMixXjLcI977QLTrbV00w/vv90oz5EPiu91yvje2tQe0E/Uh2bVzl185ZvERfv1kz3jvA9Gut3XZDO9ey7vXDOsTTJcM/cXaFdqJ+pDs2jniF49/IDxfc/SS4R7x5geiXW/rshnerYYrzZDVwEJuLpDbvgit90A7UR+SXft2eclw4MKflwx3jTc/EO16W1fN8F41vNsMq+PPlwz9Csqe0E7Uh2TXvpG+/52+RvLoRcP5kqH/Ys0u8e4Hol1v67oZ3qmGeTNcVL7qV+Z8yfDutUm9EdqJ+pDs2rWpEP5naniPfiY8XTL0s+R94u0PRLve1lT1zg2xLG33m2FxNZA9DmyGO0I7UR+SXbtG+EavG7to6L9Ys3O8/YFo19uaq962apg3w8XFwOLoZX/0N2tHaCfqQ7Jrz+ZLhuePhR/7VJiDvGS4V7z/gWjX2zpXvU3VMG+G50PD6kVDbj/xKyj7QTtRH5JdezZ9Frz8+ZGrf/PXT7xkuFO8/4Fo19taVL0t1TBvhiyerB18ccnQr6DsCO1EfUh27dh0yfB4xW/koiGHeMlwt/gFCES73tay6m2ohmkzvOx8a780y4+cy+uSejO0E/Uh2bVjy0uG5yF/2tpivmTItnaHX4BAtOttXVS9czVcu6S3pRnmpW/aiTPYDPeDdqI+JLv26+r7yIs/OtzGf7FG/AYEol1v67Lqnavhyt8Bps2Qq4F/pTdOpkuG00fPLOv90U7Uh2TXfl3/ZSGbm68ATsf7WfJ+8SsQiHa9ras2d68apuWPxX9PpS+94Djfxg9+BWU3aCfqQ7Jrv8jdudg9+A/XzP9ijZcM94tfgUC0621dVz02Q1rd0mbI2t/5rSfTJcN5J7+Cshu0E/Uh2bVb0yW/udjNnw6zfQc7e8lwz/gdCES73tZ1mVv8zWBWDbPuNx3y9/xT0vrOt3AK/9BwN2gn6kOya7dOqbvsgQ9dNJwvGfov1uwYvwOBaNfbuql6dTWsmmH8uNr6zu1x/qtEbtHbo52oD8muvUq+cHL1lZQa+3rJcNf4JQhEu97WbdUrq2HWDOfvliw/M76yqIyLIqldoJ2oD8muvSJ0Lz46ZmnLZUD/xRoFfgkC0a63lVS9qhpmzZC140fIpx9vLgguLhku/ixR+0A7UR+SXTs1XTK8uOS3/V+79l+s0QG/BYFo19vKql5RDbPdWTo2w8X1w6WLZX72Kyh7QTtRH5JdOzVd82MTLN6/aOi/WKMDfg0C0a63lVW9ohomu19cD1ypfRernMM/NNwL2on6kOzap/SSYfrHh6n56ydeMtw3fg0C0a63lTbDZTVkBXebYXq+yyuJbNkM94J2oj4ku/bp5p+sAcv3/nrQS4Y64vcgEO16W3kzXFTDywKX7H71ATJbFxcNL9dWPnHWu6KdqA/Jrl1a/RbytouG8yVD/8WaneP3IBDtelsrzXCtGia7szTtdrV5cHlV8XpT7452oj4ku3Zp7ZLhxn/tmn28ZLh7/CIEol1va60Zzlf2Lktesjsr00XC6bhF7+Og+TLiafPysqLeF+1EfUh27RKBm/S/1c64MO3jv1ize/wiBKJdb2u1Gc63XFTD292nK4Bzz2OX80E31whv9tBbo52oD8muPSrq34aLhv6LNZrwmxCIdr2t9WaYVsP1Zjj3vps/I7xZsBnuC+1EfUh27dEpbvP2x03FnxB6yVATfhMC0a63VTTDrBre7n77fRIWpmNu/6zw9hC9M9qJ+pDs2qGVf7Lm5O5FQ//FGs34VQhEu95W1QyTarilGV6t3N1Bb452oj4ku3aItF25LMiNqxcNp0uGfv1ENsMdKZvhbTW83Z2F5UfDLPGXh5dbR8mS3hftRH1Idu3PfNGvttL8/BdrdMbvQiDa9bbqZnhTDVeb4bLlsdPpiOnD5OMGWLIZ7gPtRH1Idu3P/HeCd9SXFL1kKJvhntxphotqePw7wZvdb/+KMLB2bH7LnycX1VHvjnaiPiS7dmfjJcOVvyP06yda4JchEO16W/ea4VU1vNl9+pvBi2a4aH5pc7x7p3ontBP1Idm1O1svGaYXDefvp3jJUIHfhkC0623dL2kX1XC1GbJ5sljkx8vLg34FZVdoJ+pDsmtv5m53X3LR0EuGWuK3IRDtelv3m+F01S/8fbs721fHs9tf+SXDedU/NNwF2on6kOzam+2XDJP65z9yrQv8OgSiXW/rfjO8qIZrzfCq480XBVeuDrJqM9wF2on6kOzamQcuGSb9b6qVfpasI34fAtGut7WhGS6r4fXua1f/WJ52v7xkeL6ZTb012on6kOzamanblRf91v61a//FGl3i9yEQ7XpbW5rhshqCG+ZrgtfVb1oHq7NN96o3QTtRH5JdO0PO3vk7QXa6boCseslQ4BciEO16W9s62k01ZH21Gc5/f3h086nxyofMeku0E/Uh2bUvGz8Ozi8azn+i6CVDnfALEYh2va2NV++uqyHLcwFk82w679FNb5yaoX9ouAe0E/Uh2bUvxOzdbsdul/ux5iVDTfiNCES73tbWz3WvqiGr638wuNz/tv9Nt9oM94B2oj4ku3Zl+kPBu90u23G+ZMi2xG9EINr1tjb/xd9lNbxaTBre4qLhzSVDv4KyK7QT9SHZtSuk7IZ/dIYdFxcN/RdrdINfiUC0621tboaX1ZC14lPhxXdQWFnafrd6ebQT9SHZtSebLxmedz3XQP/FGt3gdyIQ7XpbD1S0ZTVkafULKGG+aFjdyKbeGe1EfUh27cmmf7LmZL5COF00nP/FGi8ZasbvRCDa9bYeqWi3lwHZSo+e92b7QnGxUe+GdqI+JLt2ZC53bJeuWySbXjLUAr8UgWjX23ro4t18GXBLM5xuTMufzXBHaCfqQ7JrRx64ZHjzD9fMrfIe/0WbPeFND0S73tZjH+vO1fC0OX2+nH+RhPbH1qX6SL0V2on6kOzaj7X/ZZMV7EyPZOM+m+Ge8KYHol1v67FmeLX7nSt/d28Lpz31zmgn6kOyaz8e/ArJRZGcjr3PZrgnvOmBaNfberAZTvufNqZmmH3HJBz3rW4LbOqN0U7Uh2TXfhCwm/85QnY/dL25Jd5nM9wT3vRAtOttPdzQTgecfj7+GFba3+Ej47WPi6f79Q8N3x/tRH1Idu3Gg5cML76wsv2Soc1wV3jTA9Gut/X4tbvjEacfj0eG09at2HWlNPoVlB2hnagPya7dIF8f+FdnOODHvzZ//STYDPeENz0Q7XpbjzfD4yHHH+Z/4PC4lYj6x083pmboV1DeH+1EfUh27cXU7h74V2fmQx64ZGgz3BXe9EC0620NNMPDMcf/Ts1w/brfX2uXDOfrjTbD90c7UR+SXZJGMbQD0S4t/bX1F8PPimUz/AZIdkkaRS0MRLu09Le/GNqOdqI+JLskjaIWBqJdurD+IbF0jXaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDsus7+Bf/lV4LtTAQ7XrU3/xX2j3aifqQ7PoG/vXjv/ykLf7ly/VdUAsD0a4H/f3jL37SG/jLov8RtBP1Idn1Dfz3x4//brps6LXFg3i5/sOPakYtDES7HvTXjx+XbeLf/Fev52//D+FjaCfqQ7LrGzhO1i2tz2tlhwuswRfimzj+6h4R7XrQ8cVbVsO/3uAa4r+3Xzl7pyum0fIv30s9iHaiPiS7+v33OBw2tJ1/ea3s//3P6cViS81O78YB0a7HHMvEj+Unyn+9wcfL/95+4fN9fnH+Pr2XXvP9ANqJ+pDs6nfMk8DmumhF/LRbFEMvGn4TvB2BaNdjePUWL9/h42V+3IJq+b1e/782P5x/v881Nt4ILxp+AO1EfUh2tdtcdg6fo370ouG/4t7++8pXHk+vlRX5m+DdCES7HvJvXr2La4YPXXf6ls1wez3662uusf0dL/RfT76n6b30ouE42on6kOxqx4fJ9//Q8FAhP3it7PhHei99xW16tfxc/Vvg3QhEux4y9bpFkToubb/u9E2b4cbHE23qK4rU4Zsh4bkf03Mn/p/CB9BO1IdkVzviZNMlww82IorhK/eq6Sn4cfK3wLsRiHY9hBdvWVlOVW9zNfyOzfBw9WzbEzg8en58ormzPbeFTm/F9lqvK7QT9SHZ1W36MPluWTvt+KFGNN3XK38YO100ZFOteDMC0a5HZB9A0i+21ovv2gw3XZ87VjZ+fqLpZX7yfU0F1I+Th9FO1IdkV7fNTYf9PvJvGnKKwMIL2tyk9QV4MwLRrkdkte7BK0/fsRkeH9OWx795x4853MsJC0/Cnfh/C8NoJ+pDsqsbYXL3WuDUiD5y0ZBThBf+N7N5Bn6c/B3wZgSiXY/gtbu4vjZVvY2N6Ts2w+MD2nLlbPOOH3O8m6PnttDp2uTzu+67op2oD8muZpsvgbHfhy73TdcnX/qzWD9O/kZ4LwLRrgdkHyafm+G2gvFtm+GGR3R6/s9vhueXlIUn8ePkj6KdqA/JrmZbe8785ZGPXCyb/87wlT+K9ePkb4T3IhDtekDa6s41ZlM1/IbNkMJ7vx+d9nv+Q5//zvDZlY278f8YRtFO1IdkVzOa4d26d9rtiJURW+/tWzs9B5vhd8B7EYh2PYBWd/lljUUz3FINv28zvPuQtu73cekL/QRf94zeFO1EfUh2NSNK7tWc8yXDj1Wi4wW3F+9UxxfBPzT8FngvAtGuB/DSXV7JWjbDDdXwGzbD6SHde/Bb9/sEx8r2/A95p2b4Bc/oPdFO1IdkV6+tH42e/0IwsDbmXy/85ZMT/9Dw++CtCES7tpt6RNEM77+s37AZ8ojuXaL7on9lEH9/RVvzDw0/iHaiPiS7ek3NkM01y0uGu/8cdXrNXr7ivgHeikC0a7v8s8fLZnj3A9Bv3AzvXDqbn+gb9Sie0dM/tn5XtBP1IdnVa+Mf/k1l6GTvn6PyMuy8IH8LvBWBaNd2VKOrGnHZDO+WjO/XDKfCe6/ysdNb9ai87Gsr2on6kOzqRZDcKTmXlwx334l4FfxDw368FYFo13a8clf96aoZ3utN37kZlhcNF8+TlTcwPXf/0HAM7UR9SHa1mirfnao3f37Kf3feid7iG9bv4fROHBDt2mzlj9Kum+Gdavj9muHiCVQXDdnl4H161PSe2gzH0E7Uh2RXq41/ZsheP+YvX+z7T+w2vmp6Pt6JQLRrs5VPHqdidS5YZTX81s2weFSLK4vv1KN4Rm/0p5NfinaiPiS7Wm3rOPMlQz9IPZounfoVlHa8E4Fo12Z3muGiYVXV8Ps1Qx7Q0XrnW/bHN+pRPK03+tPJL0U7UR+SXa22fS562unYH/0XWw54EfwKSjveiUC0a7OVEnGueufyVBSN8+7fxPyP0RyxeGN5yfCdetRK3dc2tBP1IdnValMzXP4xon9peMCLYDNsxzsRiHZtdrcZbqqG364ZXnS+1YuG56d2wOIbsBl+CO1EfUh2tSJG6orDTqcPT71oGLZdatXznd6IA6Jdm/HCXX+Uuqx6G6rht2uGl51v7YNiboZfQdER7UR9SHZ12vTV5Mudpr853PX1Muvxd8EbEYh2bbX2v5dxUfXONWutYn3zZrhSkdhp2vf9muEb/enkV6KdqA/Jrk5T6WMzN9Ugvm/B1q5bkV9O/i54IwLRrq2mDsHm7LLqnXvWSnu63P0z/PtjPY3HM32smlek6Ub2eqMedXpCNsMxtBP1IdnVaUvDuf7LwocuGv7nv4de+Z9P/xLv6bzxoP6z7dzs/9967//853TWuye1GX4XvBGBaNdWa3+RdlX17lXDqhn++6/TrX/9+5G299eHWs1ceKu/uJtv44fVz8rHnsHD/v43dxP3w9KNLfuE4z42w0G0E/Uh2dVpS8OZ9pnLEtv5H9lNPfK493RooEdy/XF5LEuly6JGf5tlHXV5R/+62H+10S4ebRzIXbJ5ddDFs1Qj3ohAtGurjc1w8Rd5aTe63n1GkZktugoreX2JasdPl6bT3fki8dz1qs9Vuem8E+uXimcQWMwez3zc9IqxkD/0v6d3AlkzvtlntaeWd6U7aCfqQ7KrU1LUrk0l6Nwep56VVqxFZ7ooZNxFcocXtS13UcCy/W8fyuKObg5I+9xFLzw4PUY2ru9gZVlfjTciEO3aaq1CTLWGzbk8hayOXO+O61Z1MB8+1xy2L8SBaWPkkJVLl7Pz01p5ZOFciqcnl5y0fAZhfl1uHu389ObX9vygbixe3tn1fuk+K6/D+bnpcbQT9SHZ1SkpatemxrQoQaykR52b4Vwpjzg8ucOs6V1aNrnLs55dt73zHSXnv62Gl5cVcdiNH22G3xRvRCDatdVaW7kpVHU1zPtX0qrCfF9spy3vsM6PS9MZs3a1xH5R19ZbH/scTnX6aX2fK8t7n1+Xq4Pn9fPOizu89Hd+N5dnzPdZeSVshh9BO1Efkl2dkqJ27bTHxQfOU4vKrr2dm+FF15ruIbnDrJNd2Lbz1XOY7yg94vqRr/TN2I2fbIbfFG9EINq11VpbmXoIm6Gshre7r/ad850VFw2PN93ezdZLhtN+hwt5/HjzDJeVkUd6fd3v7jM4mJ/F5WNicfnkONvqI7m2POHaPiF7LWyGH0E7UR+SXZ0IkaLgJJcM57WsUM7N8LKRTYfPhe1sveydbN338tFMd3TzIfHR1SNfuxAZ1ZAfrl8hTm8z7HZ6Hw6Idm3F63bzWWhS9apqmOx+7kY3pm7EZtJtjss3FWouPLe3XJoe6uHn6ZjrO1n2NPa5Pu1pNbPcc3ruF0dPi8u7Xd7jwrzrtcWhRTHMXr6LF0CPop2oD8muToRIUXDY4/Iq21TQ2FyamyH/PZmb2FTY2Dyo2t4Bux3Uu17Uvatd/xv48ejyoiGLJxe73mmGVw1TX+70PhwQ7dqK121LM6yqYbL7svD89e/AzweUo9Wixw03lee0nHahC9OJjxv8fP0Ul8sX+882PIMjlpb3MB+6fKQsXj3b5b1cOh9bFsPs5ZgOuPdCKUM7UR+SXZ0IkfVmOBW8yz2Ki4YXjfC/x8P+9Z/z4Umjuupw1xYdbrknp45zn62ddfqe8fLBsXK02Hd6oNN5p5sun3/6PNTh9D4cEO3aitdtUzMsquHt7ufCM39LYvHVWpbYuikwHHz9qKbjb5rkNY4/7ZfXvovVtEhtegYH88syr827XTzSi0c1OZ8xnu/pBNO3XubTXRTD007Tv15zsngwJzbDj6CdqA/Jrk6EyHXvOWOHq2ts8zKbC8tmOB90Pnpro5pPs7jjRQlcPuDF8mLnRdtbPvZ5OT3vxcO66Lg2w2/q9D4cEO3aitdtWzNcVhRWcLP7ec9lOTmvnranWnR19/NubE+me7nbd9jx1MGms13eyeUiW/ljrZ7B0fXjnbcvS+DFo8L5fBd3c3xh5oXjzUfL7yIv/gry8n7CdNrlObUV7UR9SHZ1IkSW3enC3I7Ynkxl6rZSLvpUdtaNjWo+y/IOWLo9+twCz3eZrR1M64sTs3LzgJfV8PqJTpcU2VSX0/twQLRrK163mwZxU/VOzkUmLT3n3efWcnXmaZ1ltq72mg++LHNTj7zpQTfYkcOn405bJ1drbC3vb+MzOJrWeGRsXb967HXx8E9L4fpJxc7TPUyP9eahrL0bgfWrA7QJ7UR9SHY1mrrPajOcetTNDqzfXjQ816n0pNua4XyS5X5z17s9OLlpbe/p1OeqN+9584AX1XClGSYXTfWleB8C0a6NVq8tTV2HzdlKGbnefd7t+sTzDafNqfSk1/MCCyfTndytO1fPKnuSVy3tajNsfQYnFw9t2rg+9PZOzqXvptrF/Vw9/NuHUtzE8uXrqm1oJ+pDsqvRvWY4VyO2z6Y6dd2Y8lJ3xnH5jbPp7MvdyhPftrt5he0Zy+d1tm+fyrIa2gy/Kd6HQLRro6w0HU3ths2z8wWsZZm53n3avm0mV/fI1sX9nO/i4nFNR96WqGvTCdic7iTpfWzeHPHAMzia1g6L05E3Lyo3JA8jfU5/c/zq+cLqCVi2GY6gnagPya5G95rhhg+N2Z7NNyRFK2xqhrc9L2Rt8Wy6db7X1d2vO920nZ53utFm+F3xPgSiXRtlLedoqiNsLsxFZdlGrndnMys83ERnmSrZssKwdLA8wXQf99vO9aO5fZbsMZ/+dg8W7j+Dk7mirZe1mzs9P/vsXibz+ZJiuLzfS6zaDEfQTtSHZFejO81wtf6FmyqG6pjAYWUznOvYxcNibeWx3tzt2uO76XTTjul5V3uuzfCb4H0IRLs2um1EuC5XC9NNy0Jztft02qyYXF6eS5rNtMPR+YFNe1YtCjcV7LS9eDjXCzevw/ZngLnk8d/kcd48rOlh5KUPd9rjdH9XDzRf1Sa0E/Uh2dXoTjOc6s9NuwrTbdcdbzrlSvfb0AznNnbxqNbubzLdPh00FT42z66fM5sr5117CaZ1NtWF9yEQ7drophFNrqrehbn8nNvK1e5pd8LVXU67nh/B+fThXG1WKlDmZs/rO+Fctx1tPuSBZ4CLhx1YXri516p+ztjn9i0CN18VR1Y3vFi6QTtRH5Jdje40Q27Nb165KPfhZjgXw8t9VpsepsOmh7O1GV4fd2XtZpvhN8H7EIh2bTTUDBclaOojV7vfdKCl023TXU6PYL4nFm4eANv5OS+x66IWXa1cbYbrlQeewYRVJEXu5py3rfjW3fZ480Idsbh6lAq0E/Uh2dXoqiVdqS/Trdx6p2ndb4anHW52uXvg6fa5q21thtPTWCnH02ltht8U70Mg2rXRWDOcb51rztXubP34K8NtU2lZuZ73Nw/tanlL10kK1+UlwOSC4PUSm5ueAeaOe5CVPY47N8PT9tqLfLL6Dk2mR375aNJFbUM7UR+SXY3qZsiN91we/NFmODW6687F6sppw1VXW72jlWZ42rrFzTbDb+r/b+9ul9VGsjSMdkxUdd1Ah6vsuv/7nDzwSgh9gJTHZuuYtf60lQghyIg9z4DdnX1oMtrZqbMMx4eHzpmdnqOHhmgZbmEIpvHo+ofZJW9ZtW0l/O7fZ+52mk1bZfjIPLsmabh6m1tl+DDfVt7MTE64v8rqIvukTqiTyU6hh2U4PPjMfXw9js2nZTiG4fz5WX5ehnni3jLceUPK8KSyD01GOzv1luEkDS9P/UQZju1zvYcctUfzp7vlXamzKLBmGljTPw/mH0QOH1rcy/ihrPfr/L42P/yptZu9lxPuXzOLyrBH6oQ6mexUyhBZzbg89lzOv/pcGY41On/6k8s2e4vvYBkmAZXhSWUfmox29srntoiTWeotjRV0ee796ZMvz7YtAum6kIPb+jVurn/eSK6ZtXOnFTYvtA/D40mpY+9gcP+ZLMxfd3pPm9Zu9t7qGdc1ZdgldUKdTHYqZYisfRM3RtpTd1X1JOEeh9j4mosbenLZZm/x7T0vNsrw2dN4kes+fMhoZ698bptff+VwxV0G3Z9+sKuGr8U+Cil/vtxP/jxZ3lc6q+dOFvPH+yDLYp7UVYa3T2Q95OYJ9wvLcNel2ZA6oU4mO5UyRNbKMO2zR55x8ZkyHMPwac+tUIZv6boPHzLa2Suf26K47lNvzSSefsxOP9hVw+kfN5ELTdcnyw/66Ga9Im+ttH6tT72Di+EKF2t3On/h2y098Pydr52x69JsSJ1QJ5OdShkiK2U4VtoO06c/SbiHRZUH1x4dLrvWsFez33f3luGzn4VzHWV4Utd9+JDRzl753DrKcFpPP+5PP9olty8N88xUzvWgXfTQV4bDyTkcZPXvjbd8/6yOspp8HB9WnrlVhg/f1fONyAl3V+m4f0apE+pkslNpo3uaodJ2yXM+fKIMx5dce24eOksZXlcf3A6vkY1oMtrZK+HRU4bTFpqdnqO9XXJLpFznfn3ra74NG7c+pN/GtW51enF/tMPkw7haPnXxytfjx2W40bkTOeHuKs+fxbbUCXUy2an0tJ82i+liaLlJIPWX4dBo60/NY9v3M7vy03eWV3lyv1sJuLHMq2Ujmox29tpqro28ureooeH0HD1MnqkxZK7/Md7N9fCPWznukZMXbynrMb/W7DXuj3bIE27/63jLj27xWW99+FPDR7N5J8ON35WoMvyM1Al1MtmplBpb9tOQaY/TZzhr8vzuMhxbdP2Zw0ttFdyQCL1luPFGtz6HjWVeLRvRZLSzVxKirwyXaZj1HD1MnqnZdcYKGu4u/5HVJ64nL88eaukqizdZvy/D3e9g+Ly+397L1md6W9/1IeeczTsZ3pYy/GlSJ9TJZKfSED45HD3JtFH6a1JIvWU4vuJKNH54UnCLO9lbhmNa5HBm+QYvnrxLXiYb0WS0s9dWQuwrw0UaZvlwmNxV2ySCsnK17wu84VKLs+/udRlaeSD3fPAd3MJw8jrzO1iU4eatTj3ZifHVcny1eCkOSJ1QJ5OdSltluPJl4Krleb1leF1/8Ip5fOPCY1jmeH8ZDm9h/bp5UBmeVTaiyWhnr60C2lmG8zScra4nz/flX8G7u8zkWdNi3Jk5w1M2/57fRZYm7t/xsXcw3uZlfXyd2VnLXLsuPP6Uh2tvvP3hxe5vdPlS7Jc6oU4mO5W2CifLz8sn591O7CzD4bu57b9H+DhWh+ePj+4uw+F49brjbW2UYQ4pk41oMtrZayigeUfdd9ID92mYxYfJ01Jn2YbTBMzSh+nVH36zdrN955OLrSTTrChztOsdjBfO4nALs091mWvDiQ8LLucstuhi/tKRC+/8yLiXOqFOJjuVNjpuqLDn5bPotb4yHAts42nNcOHVhFs+f3cZbn0t+GF8zfmDw9vOIWWyEU1GO3sNZTHPju2+mpvG23j6gy+6rufP23BylbucGSNr9/dfOX3tzvNIs5JMwx3koQPvYLz38dwcz25iWYbjM9eq70cWx49g5aTlS19lVRl2SZ1QJ5OdUhkjs/DJ6oNOG+XMsZG6ynAssEcvONbfsvZWHtpfhmMGL178FobK8KyyEU1GO7vlg5s3xP4yvNVJk6UHybP1yO1Lwyxc3S6+t3Jy+lpIbnXUxfBgXufAOxg+q9tV119oWYaPqu/HsDZe7MGtzB/KqjLskjqhTiY7pTJG7sNnLKIcPzJE2ZBgPWU4vt7K13Y3t06b594YhpMb3l+Gt7iY3fPtBRd3tnl1Xuy6ER8y2tktH9wnynASdbfTt5Ln1jJZGKzH1Hh/u7d2uJnVKMpjjx/M4e53MJw4vfHxpOkr5cS7N3hdamZv++N9DC883sn2rcze0PDA7Hz2SZ1QJ5OdUquJc117Emox5tPs+EAZjpd4ElqTUpve2fid393ygTK8XffuDU+uu/go1ld5vexEk9HObmu50gw1ksPHbumShc1ouUXkIs6Gi8xq5mHprXh4/vBgDu/lseHBve9gfPN3Nz6eNlld+6hvl/s+fZnLi49PvX2+0x/hx//hmSZLg4fvk2dSJ9TJZKfU2s+iYynl+LEk2FBJy/C6sxZswxW25drTE//5dnmFf6Zr06uuvdDFyg1OrvHPsJwLDw/dN+CTN8nrZCeajHZ224iIoTpy+MTYKDlubsnzx99Dzvw9SZws3aTEFg9cl3fv7PASd502uj62XpnzZ+57B2NAzl5wPPG2nqX7d3i7YGvD6439yCuPz7xF6sdJl+XhnKvZa6+/EnulTqiTyU6poQynjbNeQ1vGr9auh8fLcNJlW4Y7eXzqWm7uKsNh6erfJn9sZ+U/leFJZSeajHZ2GwpjI2xy+MzK6ZPkaY3S5I8Xa81yPWFRbdcbXI+5FZezmxzOXC+Wg5nhkxhfas87GKNt8Y6yPnkgz5+deXfVO7ctmabhinkYbrwSO6VOqJPJTqlHnbSze4aMusbTk2haBtvdj7Ybxi57lIb3EXikDG9vee7b+u/Ga9+0UiI70WS0s9sQHZ8rw+H8HF1sJ896slzuZPnI9QZz8Nzl7M0o2niNi+GTuEXojneQw837bsaHNnpt81UmWzJebM0iDIe72p3T3EmdUCeTnVoZJJPyGbLnPoa2DedfI+xoGW5G2dTtVrbTcNaAh8pw6y7aOfnT/Ycx3EUOqZOdaDLa2S+f3KwihlzJ4XPXJ+TgajN5NtLs4/yVmPn4Lm934wxf/G28xOU1liV1MdZXjpun72A8IcdT4/WG18vJi1vbepXpfT5Iw+XbGU5Whn1SJ9TJZKfWdqpttN1Szr/W08Ey3BWG0y7besL89Y6V4f++DbE39XFK/nhfhquLVMhWNBnt7LfeK0Ot5HCHyzPy5xgybWYrWD6CJn+c2lhet/hJeKZdbCsax+//cvjhyTsYm241Nscn59H1T7qZ/luSifuLrp+z+m6GF84hB6VOqJPJTq3FD6Pjr7s5fu7uS8ODZXg9fOYuwcYbnFgG4MEyXLnsv5czcnB3B0/eIy+UrWgy2tlvPSOGDsnhHh9PyR8Ha8mzGWYfV1h98MiXX8MLbj7j4UNXd9/VPXoHY/ptXHJ87vWKOXzUcndmubnaj7Nzrh68EDukTqiTyU6tReXk+Ej25BmXpxwrw7Vv6lbMvpybRdy/a9/dHS7D/327u+xw0RyutumBj4hfJFvRZLSz3/DT4/o3VDncpT0nf7q5/ze09//VLAs/1l9uY3nV0/v+sd1Lw63efxLb72D45LYTbLib6wkPg23yr54vxn8OPTFvw7VzPuRhZdgpdUKdTHZqDaG0Vlfn9e2f4b9VZjULe30brvr4okMZ5pBC2Yomo539hr552Gz7fF/9/H8ker4/zsIPGy3zE27tpuNiB97BZ/w9/Ovn/DfTrPl7OOnBOUMZ/tKb/Z2lTqiTyU6xjBKZs18+seX3kbxc9qLJaOeAfHQ/4bM78uUev8z6d5/sljqhTiY7xfw0etTX/Jr1N5W9aDLaOeAnhoQWOYPhN+ccclTqhDqZ7BTTOUdp6RPJXjQZ7RzwE39O5gyyn/6aYa/UCXUy2amWYeLn5L3yefnAziB70WS0c0Q+Ox/e72H4Dljp90qdUCeTnWrDvw/2Fdg+vmQ9k2xGk9HOEcOvj34L/i34MfmzUifUyWSn2vDjqNLZx4/JZ5LNaDLaOcKXTL+V7KYfk7ulTqiTyU614Tswv47uk0/Lx3UK2Ywmo50jxv9evhzzlen8T0udUCeTnXIZJ74E28WPyaeS3Wgy2jkkH56fk38Hfkz+tNQJdTLZKad1jvDXMk8lu9FktHOIf538+xj20o/J/VIn1Mlkp14GitjZwW/v55LdaDLaOSafni8Nv77hK0OV3y91Qp1Mdurl31T43/TYwRes55LtaDLaOSZ/N833TF+fH5M/L3VCnUx26l1rR+vskjT0/eo5XHfjQ0Y7x1x/gvQ10+/gmoYi/xNSJ9TJZOcE/v3jj3+lzl4ff9NQRp/E5f8WXmS0c1DLie9+Sv49XDI/f6ZH6oQ6meycwDe/JB/xj68MT+MShRcZ7Rz0w5dMv48f3+3mp6ROqJPJzhn4CuyQb0L6LJKFTUY7R/kl+Xfi+99PSZ1QJ5MdoFeysMloB+iUOqFOJjtAr2Rhk9EO0Cl1Qp1MdoBeycImox2gU+qEOpnsAL2ShU1GO0Cn1Al1MtkBeiULm4x2gE6pE+pksgP0ShY2Ge0AnVIn1MlkB+iVLGwy2gE6pU6ok8kO0CtZ2GS0A3RKnVAnkx2gV7KwyWgH6JQ6oU4mO0CvZGGT0Q7QKXVCnUx2gF7JwiajHaBT6oQ6mewAvZKFTUY7QKfUCXUy2QF6JQubjHaATqkT6mSyA/RKFjYZ7QCdUifUyWQH6JUsbDLaATqlTqiTyQ7QK1nYZLQDdEqdUCeTHaBXsrDJaAfolDqhTiY7QK9kYZPRDtApdUKdTHaAXsnCJqMdoFPqhDqZ7AC9koVNRjtAp9QJdTLZAXolC5uMdoBOqRPqZLID9EoWNhntAJ1SJ9TJZAfolSxsMtoBOqVOqJPJDtArWdhktAN0Sp1QJ5MdoFeysMloB+iUOqFOJjtAr2Rhk9EO0Cl1Qp1MdoBeycImox2gU+qEOpnsAL2ShU1GO0Cn1Al1MtkBeiULm4x2gE6pE+pksgP0ShY2Ge0AnVIn1MlkB+iVLGwy2gE6pU6ok8kO0CtZ2GS0A3RKnVAnkx2gV7KwyWgH6JQ6oU4mO0CvZGGT0Q7QKXVCnUx2gF7JwiajHaBT6oQ6mewAvZKFTUY7QKfUCXUy2QF6JQubjHaATqkT6mSyA/RKFjYZ7QCdUifUyWQH6JUsbDLaATqlTqiTyQ7QK1nYZLQDdEqdUCeTHaBXsrDJaAfolDqhTiY7QK9kYZPRDtApdUKdTHaAXsnCJqMdoFPqhDqZ7AC9koVNRjtAp9QJdTLZAXolC5uMdoBOqRPqZLID9EoWNhntAJ1SJ9TJZAfolSxsMtoBOqVOqJPJDtArWdhktAN0Sp1QJ5MdoFeysMloB+iUOqFOJjtAr2Rhk9EO0Cl1Qp1MdoBeycImox2gU+qEOpnsAL2ShU1GO0Cn1Al1MtkBeiULm4x2gE6pE+pksgP0ShY2Ge0AnVIn1MlkB+iVLGwy2gE6pU6ok8kO0CtZ2GS0A3RKnVAnkx2gV7KwyWgH6JQ6oU4mO0CvZGGT0Q7QKXVCnUx2gF7JwiajHaBT6oQ6mewAvZKFTUY7QKfUCXUy2QF6JQubjHaATqkT6mSyA/RKFjYZ7QCdUifUyWQH6JUsbDLaATqlTqiTyQ7QK1nYZLQDdEqdUCeTHaBXsrDJaAfolDqhTiY7QK9kYZPRDtApdUKdTHaAXsnCJqMdoFPqhDqZ7AC9koVNRjtAp9QJdTLZAXolC5uMdoBOqRPqZLID9EoWNhntAJ1SJ9TJZAfolSxsMtoBOqVOqJPJDtArWdhktAN0Sp1QJ5MdoFeysMloB+iUOqFOJjtAr2Rhk9EO0Cl1Qp1MdoBeycImox2gU+qEOpnsAL2ShU1GO0Cn1Al1MtkBeiULm4x2gE6pE+pksgP0ShY2Ge0AnVIn1MlkB+iVLGwy2gE6pU6ok8kO0CtZ2GS0A3RKnVAnkx2gV7KwyWgH6JQ6oU4mO0CvZGGT0Q7QKXVCnUx2gF7JwiajHaBT6oQ6mewAvZKFTUY7QKfUCXUy2QF6JQubjHaATqkT6mSyA/RKFjYZ7QCdUifUyWQH6JUsbDLaATqlTqiTyQ7QK1nYZLQDdEqdUCeTHaBXsrDJaAfolDqhTiY7QK9kYZPRDtApdcIBf2YCX/03q90y2QF6ZRw1Ge0AnVIn7PffDOBQhkC1jKMmox2gU+qE/TJ/B8oQqJZx1GS0A3RKnbDb/W/JyhCol3HUZLQDdEqdsNdfGb8jZQhUyzhqMtoBOqVO2Gv+laEyBMplHDUZ7QCdUifstAhDZQiUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oSrPzNcb7bD7+kJO2WyA/TKOGoy2gE6pU64UobAF5Rx1GS0A3RKnXBVUYYAn5Rx1GQBgJ9BGQJfUMZRkwUAfgZlCHxBGUdNFgD4GZQh8AVlHDVZAOCn+GshDyxlDitDoFrGUZMFAF4tc1gZAtUyjposAPBqmcPKEKiWcdRkAYBXyxxWhkC1jKMmCwC8WuawMgSqZRw1WQDg1TKHlSFQLeOoyQIAr5Y5rAyBahlHTRYAeLXMYWUIVMs4arIAwKtlDitDoFrGUZMFAF4tc1gZAtUyjposAPBqmcPKEKiWcdRkAYBXyxxWhkC1jKMmCwC8WuawMgSqZRw1WQDg1TKHlSFQLeOoyQIAr5Y5rAyBahlHTRYAeLXMYWUIVMs4arIAwKtlDitDoFrGUZMFAF4tc1gZAtUyjposAPBqmcPKEKiWcdRkAYBXyxxWhkC1jKMmCwC8WuawMgSqZRw1WQDg1TKHlSFQLeOoyQIAr5Y5rAyBahlHTRYAeLXMYWUIVMs4arIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAAAA4Mv7K//ffmQVAOAV/i8JElmlSvZhkFUAgFdIgQyySpH/Zh8GWQYAeAElciqz35LtBwDwQrPfkpVIsT+zDaOsAwD8ekrkVBZfGdoPAOBllMipLLfDfgAAr7L4LVmJnMXw9z9zCADwQkrkXOwHAFBHiZyL/QAA6iiRc7EfAEAdJXIu9gMAqKNEzsV+AAB1lMi52A8AoI4SORf7AQDUUSLnYj8AgDpK5FzsBwBQR4mci/0AAOookXOxHwBAHSVyLvYDAKijRM7FfgAAdZTIudgPAKCOEjkX+wEA1FEi52I/AIA6SuRc7AcAUEeJnIv9AADqKJFzsR8AQB0lci72AwCoo0TOxX4AAHWUyLnYDwCgjhI5F/sBANRRIudiPwCAOkrkXOwHAFBHifx6f+UznsgjS/YDAKijRH49ZQgAfA1K5NdThgDA16BEfj1lCAB8DUrk11OGAMDXoER+PWUIAHwNSuQF/lrIA0v2AwCoo0TOxX4AAHWUyLnYDwCgjhI5F/sBANRRIudiPwCAOkrkXOwHAFBHiZyL/QAA6iiRc7EfAEAdJXIu9gMAqKNEzsV+AAB1lMi52A8AoI4SORf7AQDUUSLnYj8AgDpK5FzsBwBQR4mci/0AAOookXOxHwBAHSVyLvYDAKijRM7FfgAAdZTIudgPAKCOEjkX+wEA1FEi52I/AIA6SuRc7AcAUEeJnIv9AADqKJFzsR8AQB0lAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADA1/ef//w/3yOIf6xL6v8AAAAASUVORK5CYII=\" data-image-state=\"image-loaded\" width=\"646\" height=\"468\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function loc = whereami(x,y)\r\n\r\nend","test_suite":"%%\r\nassert( isequal(whereami([-0.0147228030764377;0.309765796899337;0.780246955923374;0.0770511489380423;-0.435589670883555],[0.951915035759928;-0.92714896894904;-0.347510853879375;0.946027247785641;-0.269934749388505]),[\"UT\";\"NM\";\"NM\";\"CO\";\"NN\"]) )\r\nassert( isequal(whereami([-0.758175230838743;0.831531408081579],[-0.729043588636996;-0.335764216343319]),[\"AZ\";\"NM\"]) )\r\nassert( isequal(whereami([-0.000702444305453298;0.230576484430113;0.166265936177296;0.396507853254828;-0.941335314491276],[0.0557653754772947;-0.935854307160029;0.654284645672629;-0.320027587035663;0.69342191776106]),[\"NN\";\"NM\";\"CO\";\"NN\";\"UT\"]) )\r\nassert( isequal(whereami([0.162982504736265;0.875353758149551],[-0.904425415229868;-0.892044681659523]),[\"NM\";\"NM\"]) )\r\nassert( isequal(whereami(0.362957028392425,0.197257053266469),\"NN\") )","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":571375,"edited_by":287,"edited_at":"2022-10-17T23:36:03.000Z","deleted_by":null,"deleted_at":null,"solvers_count":158,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-20T16:36:40.000Z","updated_at":"2026-10-27T11:58:38.000Z","published_at":"2022-10-17T21:38:00.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNOTE: this problem is intended to build on problem #55960 (\\\"Where the Four Corners Am I?\\\"). You may wish to solve that problem first, then use your solution as a starting point for this problem.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe \\\"Four Corners\\\" region of the US is where Colorado, Utah, Arizona, and New Mexico all meet - the only place where four states touch. The Four Corners Monument itself is on Navajo land.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003evectors\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of coordinates x and y, return a column\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003evector\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eof strings, where each string is one of five options according to the location of that element:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf  \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e-\\\\frac{1}{2} \u0026lt; x \u0026lt;\\\\frac{1}{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e-\\\\frac{1}{2} \u0026lt; y \u0026lt; \\\\frac{1}{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, then return \\\"NN\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOtherwise, if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026amp; \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are both positive, return \\\"CO\\\",\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eif \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is negative and y is positive, return \\\"UT\\\",\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eif \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026amp; \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are both negative, return \\\"AZ\\\",\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eif \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is positive and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is negative, return \\\"NM\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"468\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"646\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAChkAAAdOCAMAAADFtCsUAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAABXUExURf///4CAgL+/v0BAQAAAAEdHR4mJicPDwwB2qNeIJKRoHHRJEzwmCgAhLwA/WgBagHAwoDwaVlYleh8NLUiiP7cwLDd8MGIaGCdXIjMNDIwlIhQtEgAAAGuW9ukAAAAddFJOU/////////////////////////////////////8AWYbnagAAAAlwSFlzAAAywAAAMsABKGRa2wAAtVRJREFUeF7s3W2D6mbSrufsZGUnWbZntu1kZuz5//8zBZwSAkqFuLvpatB5fHHrRhJv/Vx1PaJZ879JkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJetz//N/5QZIkSTv3P/4PfpAkSdK+/Y8fP7xoKEmSpBDN0IuGkiRJOhZDLxpKkiQpHJuhFw0lSZJ0LIZeNJQkSdLUDL1oKEmStHcUQy8aSpIk7d7cDL1oKEmStG9zMfSioSRJ0s4tmqEXDSVJkvZsUQy9aChJkrRrF83Qi4aSJEn7dVEMvWgoSZK0Y1fN0IuGkiRJe3VVDL1oKEmStFs3zdCLhpIkSft0Uwy9aChJkrRTSTP0oqEkSdIeJcXQi4aSJEm7lDZDLxpKkiTtT1oMvWgoSZK0QyvN0IuGkiRJe7NSDL1oKEmStDurzdCLhpIkSfuyWgy9aChJkrQzRTP0oqEkSdKeFMXQi4aSJEm7UjZDLxpKkiTtEm0wsCBJkqSdohYGFiRJkrRT1MLAgiRJknaKWhhYkCRJ0k5RCwMLkiRJ2ilqYWBBkiRJO0UtDCxIkiRpp6iFgQVJkiTtFLUwsCBJkqSdohYGFiRJkrRT1MLAgiRJknaKWhhYkCRJ0k5RCwMLkiRJ2ilqYWBBkiRJO0UtDCxIkiRpp6iFgQVJkiTtFLUwsCBJkqSdohYGFiRJT/R/krkn/5NVSfoeCKfAgiTpef4nkQuboaTvhXAKLEiSnofEndgMJX0vhFNgQZL0NJefJdsMJX03hFNgQZL0LP8XgTuzGUr6XginwIIk6VmuLxnaDCV9M4RTYEGS9CQ3xdBmKOmbIZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5bYaSvhfCKbAgSXo+ktdmKOl7IZwCC5Kk5yN5P7kZ/t+S9DGEU/h/JOlDaCfaguS1GUr6XginQLRL0iDaibYgeW2Gkr4XwikQ7ZI0iHaiLUhem6Gk74VwCkS7JA2inWgLktdmKOl7IZwC0S5Jg2gn2oLktRlK+l4Ip0C0S9Ig2om2IHlthpK+F8IpEO2SNIh2oi1IXpuhpO+FcApEuyQNop1oC5LXZijpeyGcAtEuSYNoJ9qC5LUZSvpeCKdAtEvSINqJtiB5bYaSvhfCKRDtkjSIdqItSF6boaTvhXAKRLskDaKdaAuS12Yo6XshnALRLkmDaCfaguS1GUr6XginQLRL0iDaibYgeW2Gkr4XwikQ7ZI0iHaiLUhem6Gk74VwCkS7JA2inWgLktdmKOl7IZwC0S5Jg2gn2oLktRlK+l4Ip0C0S9Ig2om2IHlthpK+F8IpEO2SNIh2oi1IXpuhpO+FcApEuyQNop1oC5LXZijpeyGcAtEuSYNoJ9qC5LUZSvpeCKdAtEvSINqJtiB5bYaSvhfCKRDtkjSIdqItSF6boaTvhXAKRLskDaKdaAuS12Yo6XshnALRLkmDaCfaguS1GUr6XginQLRL0iDaibYgeW2Gkr4XwikQ7ZI0iHaiLUhem6Gk74VwCkS7JA2inWgLktdmKOl7IZwC0S5Jg2gn2oLktRlK+l4Ip0C0S9Ig2om2IHlthpK+F8IpEO2SNIh2oi1IXpuhpO+FcApEuyQNop1oC5LXZijpeyGcAtEuSYNoJ9qC5LUZSvpeCKdAtEvSINqJtiB5bYaSvhfCKRDtkjSIdqItSF6boaTvhXAKRLskDaKdaAuS12Yo6XshnALRLkmDaCfaguS1GUr6XginQLRL0iDaibYgeW2Gkr4XwikQ7ZI0iHaiLUhem6Gk74VwCkS7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWiXpEG0E/Uh2SVpFLUwEO2SNIh2oj4kuySNohYGol2SBtFO1Idkl6RR1MJAtEvSINqJ+pDskjSKWhiIdkkaRDtRH5JdkkZRCwPRLkmDaCfqQ7JL0ihqYSDaJWkQ7UR9SHZJGkUtDES7JA2inagPyS5Jo6iFgWjXPv385ddffz39Jvz6yy8/Wb3j589ffjkd9Ov2g/TGaCfqQ7Jrh45Z/OPHb2yuWO71GxulfxwP057w1geiXTtEvbtwt+j9/IU9z379hdu0U7QT9SHZtUPksM1QH8VbH4h27U1WC0+KbpjUwhPL4a7RTtSHZNcOEcI2Q30Ub30g2rUv673wYKUbrvbCA7vhjtFO1Idk1w4RwTZDfRRvfSDatSc/y14Y0pZX9cKDX/2Lw72inagPya4dIoBthvoo3vpAtGtH7vXCtBn+5KbKr+yrnaGdqA/Jrh0ifm2G+ije+kC0aze2VLzbZni/TR552XCXaCfqQ7Jrhwhfm6E+irc+EO3ai8uK9+uvfBn558/lXxFeN8PrNnn4x2oOfvll+jdvJl423CPaifqQ7NohsveBZniluEm7wm9CINq1E8sid/OlkbkcXt1wWQyv/2Gby2+zWA13iHaiPiS7dojotRnqo/hNCES79mFR4vIvE5++nHJ500UxTD8vvuibrGk/aCfqQ7Jrh0hem6E+it+EQLRrFxYNLu2FB4ceeHHjshiu/h3hsnKypN2gnagPya4dInhthvoofhMC0a49ONe3sr39ctEMF8VwtU2Gxb+EYzXcG9qJ+pDs2iFy12aoj+I3IRDt2oHzV0zudLefywrIIeHOF4/P1bBqkHpDtBP1Idm1Q8SuzVAfxW9CINr1/s4X/+5UvAvnvnf3qAd21VuhnagPya4dInVthvoofhMC0a73xzv+WG+b6+SWj4gf2lnvg3aiPiS7dojUtRnqo/hNCES73t58Re+R2vbgdcah+9DLo52oD8muHSJ0bYb6KH4TAtGudzd2PW+uehuvMz66v94C7UR9SHbtEJlrM9RH8ZsQiHa9u7mzsb3JXCc3f6eE/b1ouCu0E/Uh2bVDZK7NUB/Fb0Ig2vXm5o730MW8qU5u73lj96PXRjtRH5JdO0Tk2gz1UfwmBKJdb+7xjhdGat7QHem10U7Uh2TXDhG5NkN9FL8JgWjXm+Ptfuz9XvmfUa5xjL9ZO0I7UR+SXTtE4toM9VH8JgSiXe9t6niPXcnjoLFPoP3nrveDdqI+JLt2iMS1Geqj+E0IRLve21TXHup404fJD3Y8jvLj5P2gnagPya4dInFthvoofhMC0a73xrv9WFubLjQ++GWSqYWyqfdHO1Efkl07RODaDPVR/CYEol1vbegPBkf/YnDszvTCaCfqQ7Jrhwhcm6E+it+EQLTrrQ1dxhv8MNmPk/eHdqI+JLt2iMC1Geqj+E0IRLve2lAzHL72x3H+bu0G7UR9SHbtEHlrM9RH8ZsQiHa9Nd7sL/kzQ//QcH9oJ+pDsmuHyFuboT6K34RAtOudjX0uPFzwhiulXhTtRH1Idu0QeWsz1EfxmxCIdr0zm6GeinaiPiS7doi8tRnqo/hNCES73tlYVeOgx79IMvzVFb0o2on6kOzaIfLWZqiP4jchEO16ZzZDPRXtRH1Idu0QeWsz1EfxmxCIdr0zm6GeinaiPiS7doi8tRnqo/hNCES73pnNUE9FO1Efkl07RN7aDPVR/CYEol3vzGaop6KdqA/Jrh0ib22G+ih+EwLRrnc2VtX8brI2op2oD8muHSJvbYb6KH4TAtGud2Yz1FPRTtSHZNcOkbc2Q30UvwmBaNc7m5rhYx8MT83w4YI3fKBeFO1EfUh27RB5azPUR/GbEIh2vTXe7Mfe7enS38N/Lshx/m7tBu1EfUh27RB5azPUR/GbEIh2vbWhq3hjVxrHj9PLop2oD8muHSJwbYb6KH4TAtGutzZ2+Y+DHv0dGb7WqFdFO1Efkl07ROD+YHMFO9kMtY7fhEC0661Nl/Eee7unK40PVjyO8s8M94N2oj4ku3aIwK2b4T/ZyWaodfwmBKJd7413+7G2Nl38e+xj4bEWqldGO1Efkl07RODWzfAf7PQPtpe4yWa4e/wmBKJd7+1jHyc/1CcHrzTqhdFO1Idk1w79RuT+k+2UzVD38ZsQiHa9t/lC3lDJe+Si4dg96aXRTtSHZNcOVaVvNtVHm6HW8ZsQiHa9Od7ux67kTVcaH2l5U5v0N2tHaCfqQ7JrhzY1Q/ZJP3LmJpvh7vGbEIh2vbmvumjoJcM9op2oD8muHZq+XFL+oSG72AxV4DchEO16d7zfj73j80XDrdVwLob+Yu0J7UR9SHbtEZlb/aHhdF0xbX/VbdoTfhMC0a53N3e2h75pPH82vPES4KP76y3QTtSHZNcebfg4ufozQ5uhwG9CINr19oZK2/ka4Kaj5vt47B+60YujnagPya49mj9OXr1oOHXH/ANnbrMZ7h6/CYFo19t7sORh7npbjnpoZ70P2on6kOzaJWJ3vdtNlwzzHcobtSP8JgSiXe9v/qPB+71tscMDbc9iuFe0E/Uh2bVL8yXBlYuGUzFcuZ0bbYa7x29CINq1A+fmduffrvl1cfv5UuOdo36eT+9nyTtDO1Efkl37RPKuVL/50+aV7lffqv3gNyEQ7dqDbd0tKt6yAy6qYXkU+wSL4d7QTtSHZNc+zRcNs2o4F8O1S4rcajPcPX4TAtGuPVi0t/UPfA8fOl9cHTx/Cr1+2XBxwdDfqf2hnagPya6dmj8vvv328fmmtep352btBr8JgWjXLiyrYd4NTzXwsgAuW1/aDS96oX9kuD+0E/Uh2bVT5+uCV1cGz1cT15vfvdu1F/wmBKJd+3BRDX/8cl3ipoZ3Vf+WVw1//Fj+FWL4eXWrxXB/aCfqQ7Jrr5bV8Mdv//jHP8M/fjtfLwwrnyXbDDXhNyEQ7dqLi8t7h3JIk/v5y+KW6wuDl4Uy6t+vv8SBP3/+sjzoyL8x3CPaifqQ7Nqti2qYWS2GNkOB34RAtGs3Li/x5W4+Mr78vHhd9lmz3h7tRH1Idu3XnWq4XgxthgK/CYFo135cXwBMJAVvUzX0k+R9op2oD8muHauqYdn6tuyjPeA3IRDt2pO7lw2zS3/3Lxt6wXCvaCfqQ7Jr1y7+rHCp+F9UDuxkM9w9fhMC0a5dufrWyJW1L5Hc/FHhhZuvs2g3aCfqQ7Jr3/6ZdsN7lW/jbnp7/CYEol07s94N7/wj2Cu8XrhntBP1Idm1d/9c/DM1R7/V1wsPpj3Z1G7xmxCIdu1PUg5/vfoXaRLZhUMvF+4c7UR9SHYpyiH/XM1vv/3jfi2UZsd5fkS0a5d+/vzlV5re4R+iYfWuX+Ko42HHf72GRe0X7UR9SHZJGnXsAkdEuyQNop2oD8kuSaOohYFol6RBtBP1IdklaRS1MBDtkjSIdqI+JLskjaIWBqJdkgbRTtSHZJekUdTCQLRL0iDaifqQ7JI0iloYiHZJGkQ7UR+SXZJGUQsD0S5Jg2gn6kOyS9IoamEg2iVpEO1EfUh2SRpFLQxEuyQNop2oD8kuSaOohYFol6RBtBP1IdklaRS1MBDtkjSIdqI+JLskjaIWBqJdkgbRTtSHZJekUdTCQLRL0iDaifqQ7JI0iloYiHZJGkQ7UR+SXZJGUQsD0S5Jg2gn6kOyS9IoamEg2iVpEO1EfUh2SRpFLQxEuyQNop2oD8kuSaOohYFol6RBtBP1IdklaRS1MBDtkjSIdqI+JLskjaIWBqJdkgbRTtSHZJekUdTCQLRL0iDaifqQ7JI0iloYiHZJGkQ7UR+SXZJGUQsD0S5Jg2gn6kOyS9IoamEg2iVpEO1EfUh2SRpFLQxEuyQNop2oD8kuSaOohYFol6RBtBP1Idmlz/FPGsI/2dYe8KYHol3v7JfXeLN5lL+wqZdBO1Efkl36HDbDPeJND0S73pnNUE9FO1Efkl36HDbDPeJND0S73pnNUE9FO1Efkl36HDbDPeJND0S73pnNUE9FO1Efkl0v7tsUMZvhHvGmB6JdX+Un//1KNkM9Fe1EfUh2vbjfvksVe7QZ/vM3ftAL400PRLu+yq8/vr4b7qYZ/vyVH/SlaCfqQ7LrtR362D/4udeDzfC37/K49RG86YFo1xf5Ga/5l18U20sz/NULjj1oJ+pDsuu1/eOQgN/i6ttDzfC4sxcNX9/xLT8i2vVFjiXtq69s7aMZHkr3l7+0OqCdqA/Jrpf26Ee4T/TIQzn22R8/2NLrOr2RB0S7vsaxvYS7nyj//PnLr7+e9v31118+eCVsF82QJ8mWvhLtRH1Idr00Ktbig9lppS5o2/Z6yAPNcLp3Lxq+PN7JQLTra0wdrW4/P6fdFn79QDvcQzOcnqMXDRvQTtSHZNdLI8QWdewVmuH8sNnUy+KNDES7vgavenXNMKuFJ8OlZw/NcH5p2dQXop2oD8muVza1scXFt5dohr+xr99BeXW8kYFo15eYPkxe73jrvfBgsBvuohny2fvo4foA2on6kOx6ZUnBe4lmmDRavSTeyEC060tMFW31kmHZCw/Y7zG7aIb3W7eehXaiPiS7XhkRtvxU9iWa4XzRkE29Kt7HQLTrS/Cir73qU7kpsOdjdtEM54uGbOrr0E7Uh2TXC5vK2PJD2ddohtP9+3Hyi+N9DES7vsLU/Fa6z1RtKuz6mH00w+lZ+nHyl6OdqA/JrheW9bvXaIZTo/Dj5BfH+xiIdn2FqbukHyZfXTD89Zefp90O/34Na+G49Kh9NMPpeD9O/nK0E/Uh2fXCCLCLz2RfpBn6cfJ74G0MRLu+Aq95+qJfFMNfrrvjXA7ZfsxOmqEfJ3ehnagPya7XlX2Y/CrNcHoAfpz82ngbA9GuL1B9mLwshje98OhU79h4zE6a4fQ0/Tj5q9FO1Idk1+tKu9hoM/znbydsPu6xZjhVCpvha+NtDES7vsDU/pLityiGv6a98OBwTYwfH7OTZvjxE2gM7UR9SHa9rqnesXky3AxvVh401gz9Q8PXxtsYiHZ9gfWCtiiGq70w/PzVZljhBP6h4VejnagPya7XRXy9ZjP0Dw3fAu9iINr1BXjJk9ecG0JVDMNY6dlLM/QPDZvQTtSHZNfrIr0uP5B9lWa47XHqm+NdDES7vgAv+W3zmb97/KSrXXtphtPzvFOv9dloJ+pDsutl5VXsVZph3mv1YngXA9Gu51v9M8Op0DztY9C9NMNPOING0E7Uh2TXy5raHZt4tWboHxq+NN7FQLTr+db62fmPDJ91rWtvzdA/NPxitBP1Idn1svK/1HuZZsjDtxm+tNObeEC06/nW/gpu/iz5aR+C7qYZ8lLaDL8Y7UR9SHa9rFN2XX8c+zLNcHoIbOol8SYGol3Pxyt+XXzmS4bP+wx0N83wRZ7o26GdqA/JrpdFdr1qM/zwHeob4E0MRLuej1f8uvhMlwyfeKFrN81w9U859VS0E/Uh2fWqVprVyzTDlWarl8KbGIh2Pd1Ka5kvGT6xzeymGX7GKfQ42on6kOx6VTZD9eNNDES7nm6lGU6t7Zllxmaop6KdqA/Jrlc1lTs2J6/TDP0Kyhs4vYcHRLuebqWesfrUD0D30wz9CkoL2on6kOx6VSv/IyIv1wz9Csor4z0MRLueLv9q8nQl8aldZnfN0F/rr0U7UR+SXa+KYnX9YezrNMPpMbCpV8R7GIh2PR2l5ar3TKXtqd+Z2E8zfJFn+m5oJ+pDsutVkVxf0gz/+Y/TAb/9Y/2vAq9O8M9/HKvrb7+tHmEzfAO8h4Fo19Pxgl/1HlY/9D788uupdf76yy95waz70t3Dr5z2v933l19O59l2mmTv4/ZKM/zJ7r/Go2QpYzNsQTtRH5Jdr4rk+oxmOJW6heVp/zl97nvELTe97qIZTrce/ZY/locvMur74T0MRLuejhf8stdMHyaPXyejMc2yMxV9acvhF9+dmc4VLvZdrEd/o+2xeXvSi3u9u/fPi5OfD7i18jUfPRftRH1Idr2otV716c3wshceHA+qmuHN+fJvmXDj6kVFfX+8h4Fo17PlneWjzfCq1x3dnmu1GW47fPHQfy6PWPxt5FV1m25j4/qUj+093f3Sajfk9tHXU0NoJ+pDsutFfVUznPZcOhS9ohkmp0urIbfZDF8Y72Eg2vVseTOcOtLYNa6sMx1cn22lGW49/PzQL4+Y69dFX5wczsKPlz3tsb3T9hpWvrLDrTbDL0U7UR+SXS/qi5rhzQXDoyh6680wOVteDbnJZvjCeA8D0a5ny5vhVHvYfMxKZwpXtSlvhpsPPz/0i0PmvVYaZjxTfrroaZ+y98HlKwlusxl+KdqJ+pDselE3zQyf2wzzYngoeuvNkP9eSR4PJ7cZvrDTW3hAtOvZ6nbG5kPWm911t0vve/vhczO8PGRqX6vl7WfW0z5p74OsGvIQbYZfinaiPiS7XtSXNMNpt5PfAj/+4MvKSTOcLPcOyUVDbk4/adZrOL2FB0S7ni1vhixeXaTbpGp2V2fM7vuBw+dmyH9P5l3YPvk18GPcH/9d9jSWTu7tXRbDtBpyupEXVMNoJ+pDsutFfUUzXKzP3y8+/WM0sXD6z0oz/Me0+7kc3l4atBm+vtNbeEC069k+uxkum92vxzL18+IrvMtTJvf9yOEX/Yydf5kL3OJM09J0pummaT08tPfFHZ/+dZvpX685ua2G3Goz/FK0E/Uh2fWiPrMZHkzFbnkcS+HibOe2F1i7rJEsHczLtwXQZvj6Tm/hAdGuZ0vaWWDx8SKzaHGL3rVcXrSm2/t+6PBlQZuXpx/Oh1w8ictSx+Kje7MQlt9FXnyoffu62Qw70E7Uh2TXi6Lb3dSqT2yG0043d7Kshiwtm+Hl7vM622drT0Gv4/QWHhDtejY60VVlOS0OFBkOvD30XJvOZWrqY2wGFrYdvuhti4IGbri5aVn2kq63Ze9zjVzd++aFy19mPRftRH1Idr2otQtun9cM71/tO2Bl2Qyv7nramc2z6UGwqRfEWxiIdj1bfjHrtPh4kZkL3O2RyU03zfCxw89F7LYYzrvf3LQoe7ddb8vexd2u33RbgvV8tBP1Idn1op7fDKd9suZ2roYsLJrh9R8UTue5+UNDm+Hr4y0MRLuejQp1VcWmYsXmVnMzum12WVm7rksPHl7tzi2Ly4Kzc32bb2R7297rpbN4SDbDDrQT9SHZ9aKe3wxZyM/EbVkzvNmfdZvhG+ItDES7nu1Tm+F0WNbszrfO/eu6Lj14+FzDbgvddOb0TNON83EP7T3fa1IMF7eyPbl+qvoKtBP1Idn1op7eDKeF28+SD+aLhmwvmiHbZ6zbDN8Qb2Eg2vVs9K2VZpi2n3UctXLYTWu6rktsbj18rYWF8vHPx03N8KG9yxqZ9NcTm2EH2on6kOx6UU9vhndOxK23zXD7v05jM3x9vIWBaNez5c1wKjJX/eaOO6Vpvn1qYFd16dHDp86W7L9+y8F0ounZsbltb7ZW6uvaya6eqr4E7UR9SHa9qKc3w+mqIJvXbm62Ge4Rb2Eg2vVseTMsSldhul7G5o3prFMju6pLjx6+/iCv97xydfNDe9/Zee1Z2Aw70E7Uh2TXi3p6M2T75g5wU+tshnvEWxiIdj1b3gznK2NsbrNyrrPT7fNZ82a4+fD1kjad+M51PQ58aO/pTtd2ns92+ahshh1oJ+pDsutF3atbtwVtaXszXDvPajO8raQ2w/fFWxiIdj3bSh2brnytXhrL3D3mqh9dbbK1+fD7zZDNG9zMgQ/tfW/nladx/zB9PtqJ+pDselEfa4YcXTTD9aJ3Mt3Ops1wn3gLA9GuZ1tphlOTWb+Al+CY+9WOC25XdYmtzYevX767d/WR27mnh/a+X/HY4fJ09w/T56OdqA/JrhdFrRpshuy0KGWPNsPpFGzZDPeJtzAQ7Xo2KstNLTotP/RG3P2g9XqPy7r08OHjzZA73tgML/a+t/PKHjbDDrQT9SHZ9aLWatVU0G562AV26m2Ga+t6Hae38IBo17OtVRb6TVWBrtkMj9I97h+mz0c7UR+SXS9q9YIb6+WVuKnF2Qz1Mae38IBo17OtNcNp/YF3wmZ4ZDP8Nmgn6kOy60V9qBkmHznfFDu21z6VnvZn02a4T6e38IBo17OtNcOpyzxQZqamRuFKXN1Z3gw3H77eDFefFHhu3NNDe08vy3EjxQ6XT8Nm2IF2oj4ku17UTTOb0LfKPzT8Hs3wtFw+UH1zvIeBaNezTfWKzbOpLxVN7drdA6462NUmW5sPb2mG93ZeeRrpop6MdqI+JLte1GoRm1pfdSmOXZYH35zvzhW9m2uWNsM94j0MRLuebb1eTVfHkptWsP/6m3d15SxvhpsPX3/o67eccDM97aG9p8e82vHys7FoM/xStBP1Idn1qkiu2yLGDcXHyVOJW+6y1gzXTsOtNsN94z0MRLuejhd8vV5t/wh0ak1rFWu6r5Vm+Ojh95vhShG7aneP7c3W6ouSPwsWbYZfinaiPiS7XhXJddurpkq3ftGQHS6OvSl2ySfOC7fl8uFmuH6AXgbvYSDa9XS84ElnmS8abq2GdyrWfMLp9qtm+Ojh681welIrv0bXJ2Jz297T5mnrxvSgLm8vHqqeh3aiPiS7XhXJdVvcpkq3WrnmVrfc4bansZAXzPlO2LYZ7hPvYSDa9XS84Fkd46YN1ZDGw+4rBeimNF01w0cPL+pWfuFuwo3zc35o72nnldfkunWe2Axb0E7Uh2TXq1r7jPY8rVcuGs7F8OL22542XXvMmtt8jk9ohmzqFfEeBqJdT0eVyYrO3MV+/FpXmp+8X3VrmkrTfOt1M3zw8KJuTTelZ5pONLe3x/ZmM29580t2eeu0zKa+Bu1EfUh2var1Zjhfz8ur4dT4LjvcbbG7vSx4Np/jA81wOj+bekW8h4Fo19MVzfDcc+qrXdHoTj/M+2dnmyvWfKrrZvjg4dPu2UPjpqtLd0fnJzXfyPa2vW8fyNnaM7h+pvoStBP1Idn1qopixS15NZxL3eWNSbFjJTnLuRjaDPeN9zAQ7Xq6srTMLWilOh78POzEz/P+t3snN93c9WOHV81wOvXtjeeqdy6CD+19Xir2vrrJZtiCdqI+JLteVVGsppIWbey6p51vuqpwSbGbLxped7pFMfxAM1xZ1is5vYcHRLueri4tcyELaTc89sL56HM1ut75fCIWws1dP3b4tHfWDOfLgNe3nu9i0QxXG1269/mxrO497wsOSV9BPQ3tRH1Idr2q9SZ2Ud0uitc/FzdcHZedbt77omAuT/KRZnha9R+teWm8iYFo19OV/eqyGv749brxzF2I7WWVWu47X5S7WL4tpQ8dXj7y85kuHvPiTMtbzstb9j6/Jsu/v6QjH7E0Y/ni5Ho62on6kOx6WWRX2qyW5e233/7xj3+Gf1w0uuuelhW7aS38Nt3NP7mSOJ2M5ceb4fr+eh28iYFo1/Pxiq+1lkVZO/j1F8rQz5/L3nRaC8sm+cvP476/LNeWl82mE7B58MjhZTNcnml6yNOpppsWT/mhvZcvCa/HxYtx84jqR6pnoZ2oD8mul0V25Z/GXrTAxM1RaVG77JKBH2Pj5sNsm+Ee8SYGol3Pxyu++knn8lrYKvYN9d4X95I0w0cOr/vWZaP9NfBjHMB/F83wI3vfuHlA0/42w69FO1Efkl0vKy9ck7oa3h6UF7W1s/x2+2eOjzbD4u8k9TJ4EwPRruejA602w3tt7Yg9D6q9L+8ka4YPHH6nb63Wt5/ZZdJP2vvg9vGkT1RPRztRH5JdL+tOtaqqYXKdbqXY5WeJkvfhZjidmU29JN7EQLTr+TbUlvuXDdnxaH3nq/aZ3/Pmw+9diVupb7E7Py273ufsfZA8nOkpsakvQjtRH5JdL+vex7HT7TduvrB8sHa2qQEuHTreh5vhadEvoLw23sVAtOv57hWso4s/9rtxUZrWa9P1Pax00q2H333gaaE97M2Plw87vdvVvdcKbHrplduuzqBno52oD8mu10V6rXerrNWtNcnVYnf5VeSD4x1+tBmu764XwrsYiHZ9AV7yO71lvRsmzWzqfEu3nWn1auW2wzdU2psTnb5MzMb1M77d+7jMxvXeq73zxoYHqmegnagPya7XlV+Lu3D5feTwj7UmVjS1y5Nwho82w+l4m+FL410MRLu+AA0nvdp1ISmH81eVr121rJt/7+ZgtRluO3xL4br8zvB0GjZvTvrY3jfd8N5rYTP8YrQT9SHZ9bqmwsbmin/8g+8UH/7xGtYeFuc43tX4Ga7dNEu9It7FQLTrC0z9hs3Sz1/mr+3++staEzr5+cv0z76kve6eDx5+Fg/5dJ5Np3ls7/8nHuS0//qLUTRgPRPtRH1Idr2uqVy95J/q8dirC576/ngbA9GuLzAVl48VMK3i9b1/UVafi3aiPiS7Xhj59Yrtavrs2S+gvDbexkC06yvwmttcnmP61Nvm/dVoJ+pDsuuFbfs4+VvyzwzfA29jINr1FU6fh/qiP4l/ZtiFdqI+JLte2At/nMwj988MXxxvYyDa9RX8OPmpeHX9nf5ytBP1Idn1wqaPZF/v42Q/TH4TvI+BaNdXmD7u9OPkZ/DD5Da0E/Uh2fXKSLDXu/Lmh8lvgvcxEO36ErzovurP4IfJbWgn6kOy65VNf2j4cpfeeNx+mPzqeB8D0a4vMf2hoZe1noDX1l/pr0c7UR+SXa9suvT2ah8n+2Hyu+CNDES7vsR0WcuPkz+fHyb3oZ2oD8mul/ai306eHrYfJr863shAtOtr+O3kp5leWj9M/nq0E/Uh2fXSXvOi4XTJ0A+TXx5vZCDa9TW8aPgs0yVDf6Mb0E7Uh2TXayPEXuvimx8mvw3eyUC064vwsnth67P5YXIj2on6kOx6bcfPZX97tU9lqYZ+mPzyTm/kAdGuL3L8zPNXi+Hnoxr60jagnagPya7XduhYr3jp7dBovWT4+o4z9Iho1xc59Bcvaz3HoXX72nagnagPya4X99uLXnn7h5cM38GxFB4R7foqv3pV62l+8ZJhD9qJ+pDsenH/fNV+9c/X+19u0Q1qYSDa9VV+2l2e56ff7GlBO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLhX+l1ShFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFU19v7nf8+iFoY/mBFyjD6pQLtRH0Y/VKBVNfb+/NPfngMtfDAaqgCo18q0E7Uh9EvFUh1vb0/fwxVQ1rhkdVQ6xj9UoF2oj6MfqlAquvt/fnjoWoYu996oBr+wSGDH2Lr5TD6pQLtRH0Y/VKBVNfbO1S9B2pa2gwf+BaKzXBvGP1SgXaiPox+qUCq6+0dq972i355M9x+1dFmuDeMfqlAO1EfRr9UINX19k5Vb3M1zJvh9mpoM9wbRr9UoJ2oD6NfKpDqentUva3VcKUZbq6GNsO9YfRLBdqJ+jD6pQKprrc3Vb2N1XCtGW6thjbDvWH0SwXaifow+qUCqa63N1e9bdVwtRlurIY2w71h9EsF2on6MPqlAqmut3euepuq4Xoz3FYNbYZ7w+iXCrQT9WH0SwVSXW9vUfW2VMOiGW6qhjbDvWH0SwXaifow+qUCqa63t6x6G6ph1Qy3VEOb4d4w+qUC7UR9GP1SgVTX27uoeverYdkMN1RDm+HeMPqlAu1EfRj9UoFU19u7rHosrqub4f3CZzPcG0a/VKCdqA+jXyqQ6np7l1Xv7kW/O83w7lVHm+HeMPqlAu1EfRj9UoFU19u7qnr3quG9ZnivGtoM94bRLxVoJ+rD6JcKpLre3nXVu1MN7zbDO9XQZrg3jH6pQDtRH0a/VCDV9fZuql5dDe83w7oa2gz3htEvFWgn6sPolwqkut7eVPXOla+shqvNcHFDVQ1thnvD6JcKtBP1YfRLBVJdb29qdIvOV1XD1Wb4+9T5QlENbYZ7w+iXCrQT9WH0SwVSXW9vbobbquF6M5xLX1ivhjbDvWH0SwXaifow+qUCqa63d26Gm6ph0Qw3VUOb4d4w+qUC7UR9GP1SgVTX21s0wy3VsGqGW6qhzXBvGP1SgXaiPox+qUCq6+0tm+Gi9601t7IZLqvhce9bNsO9YfRLBdqJ+jD6pQKprrd30QwXxW/lol/dDBfVcOWqo81wbxj9UoF2oj6MfqlAquvtXTbDu9XwTjO8Ww1thnvD6JcKtBP1YfRLBVJdb++qGf4vNkNaDe81w//1O9sr1dBmuDeMfqlAO1EfRr9UINX19q6b4fmiX1oN7zbDxR5ZNbQZ7g2jXyrQTtSH0S8VSHW9vetmeKca3m+GdTW0Ge4No18q0E7Uh9EvFUh1vb2bZlhXww3NsKyGNsO9YfRLBdqJ+jD6pQKprrd32wzLarilGVbV0Ga4N4x+qUA7UR9Gv1Qg1fX2kmZYVcNNzbCohjbDvWH0SwXaifow+qUCqa63lzXDohpua4br1dBmuDeMfqlAO1EfRr9UINX19tJmuKyGrGBjM1zsd3mDzXBvGP1SgXaiPox+qUCq6+3lzXBRDS8v+m1thosdL6462gz3htEvFWgn6sPolwqkut7eSjNcq4abm+FKNbQZ7g2jXyrQTtSH0S8VSHW9vbVmuPI/ZrK9Geb/ayo2w71h9EsF2on6MPqlAqmut7faDBclcFENH2iG56uOi2poM9wbRr9UoJ2oD6NfKpDqenvrzTCthg80w7Qa2gz3htEvFWgn6sPolwqkut5e0QyzavhIM8yqoc1wbxj9UoF2oj6MfqlAquvtVc0wqYYPNcOkGtoM94bRLxVoJ+rD6JcKpLreXtkMb6vhY83wthraDPeG0S8VaCfqw+iXCqS63l7dDG+q4YPN8KYa2gz3htEvFWgn6sPolwqkut7enWa4qILHZvdoM1xUw2O1tBnuDaNfKtBO1IfRLxVIdb29e83wqho+3AyvqqHNcG8Y/VKBdqI+jH6pQKrr7d1thpfV8PFmeFkNbYZ7w+iXCrQT9WH0SwVSXW/vfjM8N7uohgPNcHHMnzbD3WH0SwXaifow+qUCqa63d78ZXlTDkWa4rIY2w71h9EsF2on6MPqlAqmut7ehGS6r4VAzXFZD/msz3AtGv1SgnagPo18qkOp6e1ua4bIarqmr3k2htBnuBaNfKtBO1IfRLxVIdb29Tc1wQzW8U/Wuq6HNcC8Y/VKBdqI+jH6pQKrr7W1rhver4b2qd1UNbYZ7weiXCrQT9WH0SwVSXW9vYzO8Ww3vVr3Lamgz3AtGv1SgnagPo18qkOp6e1ub4b1qeL/qXVRDm+FeMPqlAu1EfRj9UoFU19vb3AzvVMMNVW9ZDW2Ge8Holwq0E/Vh9EsFUl1vb3szrKvhlqq3qIY2w71g9EsF2on6MPqlAqmut/dAM/xfv7NvZlPVY99gM9wLRr9UoJ2oD6NfKpDqenuPNMOLz4OvbKp656uONsO9YPRLBdqJ+jD6pQKprrf3UDMsquG2qjdXQ5vhXjD6pQLtRH0Y/VKBVNfbe6wZrlfDjVVvqoY2w71g9EsF2on6MPqlAqmut/dgM1ythlurHtXQZrgXjH6pQDtRH0a/VCDV9fYebYZr1XBz1TtVQ5vhXjD6pQLtRH0Y/VKBVNfbe7gZrlTD7VXvWA1thnvB6JcKtBP1YfRLBVJdb+/xZphXwweq3qEa2gz3gtEvFWgn6sPolwqkut7eQDNMq+EjVS+qoc1wLxj9UoF2oj6MfqlAqkuZZTVk6SF/2Ax3g9EvFWgn6sPolwqkupThC8ZHLD3mT5vhXjD6pQLtRH0Y/VKBVJdSi2rIyoP+4L96d4x+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdqI+jH6pQKpLOWphYEFKMfqlAu1EfRj9UoFUl3LUwsCClGL0SwXaifow+qUCqS7lqIWBBSnF6JcKtBP1YfRLBVJdylELAwtSitEvFWgn6sPolwqkupSjFgYWpBSjXyrQTtSH0S8VSHUpRy0MLEgpRr9UoJ2oD6NfKpDqUo5aGFiQUox+qUA7UR9Gv1Qg1aUctTCwIKUY/VKBdvJ5/sf/4AdtxOiXCqS6lKMWBhakFKNfKtBOPs+PH3bDxzD6pQKpLuWohYEFKcXolwq0k89ziCa74SMY/VKBVJdyx1J4xIKUYvRLBdrJ5zmFk91wO0a/VCDVpdwpeA9YkFKMfqlAO/k8pJPdcDNGv1Qg1aUcuRtYkFKMfqlAO/k8pFOwG27D6JcKpLqUI3UDC1KK0S8VaCefh3Q6shtuweiXCqS6lCNzAwtSitEvFWgnn4d0gt3wPka/VCDVpRyJG1iQUox+qUA7+Tyk08xueM//K91Fqks58jawIKX+P+ku2snnIZ0WXq8b8sAlSZL06V6tG/KwJUmS9ASv1Q150JIkSXqKV+qGPGRJkiQ9yet0Qx6wJEmSnuZVuiEPV5IkSU/zf/zvVK9vjocrSZKkJ/k/X6QX2gwlSZKe61WuFx7wkCVJkvQEr3O98IAHLUmSpE/3StcLvx7/82dSgf9lKy39wX/l/zqetuJ//kwq0E4+D+m08FrXC78eo18qkOpa+OPHn/wkm+GtP/z1yDD6pQLt5POQTjOvF97D6JcKpLoW/vzx48+Ly4a/8989Im8DC5f+2N/11fj12PMvxCpGv1SgnXwe0gleL7yP0S8VSHUtHCNm2Xj+3PFFouOLccTCpT8uXqgd+OPwUnjRMMHolwq0k89zzCZ4vXALRr9UINV19ucpZRbT/88dV4HTi3HAwqUoSruqhr8Xr8XOMfqlAu3k85z+D/LA64XbMPqlAqmuM3JmMf0PHy/z4xZUy/eoDzyXwMKlwyW0B6rh8YpbeNWPYymGXjRMMPqlAu3k8/B/kV4v3IzRLxVIdc2S4X+oeg90mW/ZDP+I5/XnQCHjuQQWLh2rHj9v8KRm+Hu85L9/ybVLHv97tP7PxeiXCrSTz3P6v0evF27H6JcKpLpmU69bFI3j0vbi8R2bIZXs8Wtdp+MOWLh0PO/2sz6nGfKCf0U1nN7bV73o+USMfqlAO/k8h/9r9HrhIxj9UoFU1+w4+C/bzqkObC4e37AZTo3s8UbDcYGFS6cTb66GT2mG0+v9FS/49AQer9hvj9EvFWgnn8frhY9i9EsFUl2T6cPkZXd58JrUN2yG07N6/EFxWGDhEk1pa1F6SjPknF9zIe8bvrnfBKNfKtBOPo/XCx/F6JcKpLom2eSf1jZWw29YHnhEgYXNOCywcOnBa2jPaIbn1vsVzTD7/xx0wOiXCrQT9WH0SwVSXRMG/0XTmarexmr4rZvho3+Mx2GBhUtT1dtYDZ/bDL/kI96vvK+XwuiXCrQT9WH0SwVSXUgvCc3NcFuv+obN8PwMWNiMwwILl+ZmuK0qPaMZnh/Cl1zH+4bv7vfA6JcKtBP1YfRLBVJdSOf+uVdtqobfsDvM19UeLk8cF1i4dK5lm6rhM5rh+SGy/Vx+nLyC0S8VaCfqw+iXCqS6QKu7bDmLZrilGn7DZpg/ry1Oxx2wcGnRDLec/MPN8M+Ti3dhOumjH5QP4t5shlcY/VKBdqI+jH6pQKoL6dhfNsMN/eM7NsPTpa6BNnN8JkcsXFo2ww3V8OPN8HT85T39cVi9bItPdHoEAyX7zTH6pQLtRH0Y/VKBVNdJ/lHhRTO8X/i+ZTOM/jRUnXgugYVLF83wfuF7TjMcfW5jvunb247RLxVoJ+rD6JcKpLpOpmbIJi6b4d2LRW9VHXgugYVLl83w7gXVZzXDrzT9jnxhGX0JjH6pQDtRH0a/VCDVdZIXj8tmeLeW7LgZ3qtL79AMp5dk+Dm8KUa/VKCdqA+jXyqQ6jrJh/5VM7zXS/bcDO9Uw3dqhq2P4Rti9EsF2on6MPqlAqmuo5Xict0M75SCXTfDuhq+RTP8Do/hG2L0SwXaifow+qUCqa6j/M8M56p3bohlK9hjMzy/NGU1fItmuPJbsneMfqlAO1EfRr9UINV1dKcZzj/U1WSPzfD3xcXDohq+RTOcnsSdv6ncG0a/VKCdqA+jXyqQ6jpa6R3nqrepGu6yGc4/hfXK9BbNcHpNhp/Ee2L0SwXaifow+qUCqa6ju81wUzXcZzPcVA1thu+L0S8VaCfqw+iXCqS6jlZG/rLqbaiGO22GW6rhezTDb/Egvh1Gv1SgnagPo18qkOo6WOstF1XvXA3X6s1em+GyGh5vvPVWzfA93uBPw+iXCrQT9WH0SwVSXQdTb2FzdtkEztVw5crYbpvhohquVLf3aIZ+OTnD6JcKtBP1YfRLBVJdB2sT/6rq3auGVTP8/ffTrb//vv41jcf88fvpYf/5+3DdOpzk9LD+vDnLcfmIhUtXVe9eNaya4aaXhtf2oWb4+588uY0vOvv/ubq3zTDD6JcKtBP1YfRLBVJdBxub4aItpd3hevez6Q6O/uRgNg9laToy73jTrcta9Me0eMRxyfNgt7RR/XHxsM4P7Ii1wMKl66p3PlV+V9x4+wTvvTTh4qmeHNenk6ZvBnVzlr20yxcnfUGvlHe4W4x+qUA7UR9Gv1Qg1XWwVp+mssDm3AxCVg6ud59cFbDpjtg4lJD5xMcbrnHb4j4va8zB8baHmuHiycwW3ZCVwMKl6ei5Qp0fUVYNb3bH/Zcm3DxZHtN00uS9SA5J2t7ixbk5IHuDrx6Xjhj9UoF2oj6MfqlAqutg0RAuTHWBzYs2VdQRNnHb4sLhaH481oxpn6xzTO3p/PBu+lQ43PpIM8weVZh3ZDuwcOm26p1PeHtnK81w00uTPtTj+mozXLxNF653PL84yV0kb7DNMMPolwq0E/Vh9EsFUl0H54ZwaeoLbIayGt7uHlZaShzNT8eaMe91POYSt5zvMKkxIR799ma41p0Cd8NWOG1fmU6wKEnnh3VbDZPdt7406fM9rk/HX78T+etzcPXA5hcnPeL6tIFbbIZLjH6pQDtRH0a/VCDVdbA28KfCwObBos3cNIdk97X2cziaH073Oh17WzpuLhmmNSb8ub0Zrj6qg9PzYiMcN69NZ1g+3vMDu6mG2e5bX5rsCR/XpxNcvRFrr8/B5QObXpzsGmzyJOYDbt+kPWP0SwXaifow+qUCqa6D07y/HfhTx2DzaNFn1q5VsXnE0smfgR9jL/57utf5tMetpemI6d4ua8zylHxZ+eIc3HjZclY72cnxnvg5HA+5Np3i4jU7P7nrVpXtztJJ8dIsTjs7rk8nvXwfkr0XLh7Y1a4XjyFcv78rr+beMfqlAu1EfRj9UoFU18Fp3m9rhstadVUdkt0XTWM6+/SN4Okm1tm6qSNT25vayOLu5++LTN/DXX8AF11mcYq4++NJpn+95uSwxI/hcPuNrOotn+5VeUp2X9zhnZdm+dBwXJ9OevGSLXf+83iCPy6+g718YBf7TmdZvDqsnHGAzXCJ0S8VaCfqw+iXCqS6Dk7z/qrlhKk5sInV6nC7+7mSFNXsau20OZtOOj04NsNqIVqeIusyp6WD5b9Ts/g6yGFvfgynm69MD/fqNTuf4/KG290feGkOsucx7bt8IRYlcPkIFsuLvRcv2vIc8/LFK3yQPYrdY/RLBdqJ+jD6pQKproPTvF8tAtfd6NxeLivC7e4s3Jx62X+mAsPm1a5TpZnuaa441+1k0XLuNMNzS1p9VLE7PwVuvTTte1kAlw/j4uS3u7Ow6aUJyfOYd12egaXq9TnvvvJg5/XrJze9dNfn3jdGv1SgnagPo18qkOoKWcM4mhoCm7Nze7noCDe7z83j5syL/jPVj2npsnZclZT5uNtyMt/ZnWZ4vuviUc1fAgnceGna9aY8nR/G8vQ3uz/00oTb53Hec3GK+bTF63O+aW3v1Sc3lWo2dcDolwq0E/Vh9EsFUl0haRgnU3Ng8+x82W3ZKW52Z/u2YSz7z3wj22mjmu5mvmO2l+aes7yRxcXDnHe7ebqLR/XncDNcHLi4g5vd2d740mTP47zj+X4Wj//W7ROfV9iesXyzbjNMMPqlAu1EfRj9UoFUV7htGJiaA5sLc6fIOhebc4/Iasq5483156Y9hemU0xqbWatbdDK2DzjB+SHM5Sk9xXzrouBx06XswZ7Mp8gq27T7gy9N8jzCdNLz3UwvV3ramxdzffe1Bri2vmuMfqlAO1EfRr9UINUVbhsGpubA5tJ007JWXO8+bdcd7Fx/WFjuz8p0H9NBdfNZPl7WzgeUnex8jrmdrdSg66q3MD+zxTO53v3Rl+b2eYRpv/NJWMhPez4v2+cny/bMZvgARr9UoJ2oD6NfKpDqCrcNA1NzYPPCdNuirVzvzuZKB5taxrmWXNen2+oyHZM3n7kYsXnAGc6P4bS9eor5QfPfwA2Xbh/r2dzAzvdyvTubm1+a2+cRbt636biV0968fNdv2OzmzJhOwKYOGP1SgXaiPox+qUCqK6z1gPXmcHDuTlMRudr9ug1dSW5m5Xx/bM9Np3xA6c0szWe486CWT2vCDZfK80w3Bl7Tq93vPIrk5uvncTDtNr9vd16em/Ou7n9zZtgME4x+qUA7UR9Gv1Qg1RXWesCdpnHuUPSVq92vr1Bd4+ZF/ZmOmJaut+9casuKC4/pphmuPaj5HGfccOm6ZF2abg2nO7ra/fGX5vp5HNw8l2ynC6fb56d09Yadrb1KyQssRr9UoJ2oD6NfKpDqCms9YL05nEw3T13kavd7NYKbl92KpekQts5Nh4W8jm1qhve7DTucsX7pqupdm24Ox1f1avfHX5rr53Fw876xvfby3NxvdtKjtd+I+6/eDjH6pQLtRH0Y/VKBVFdY6wHXVe/GdDuHXu2+2jvA7cseMzWP0yOZtuY9Vh8optvZPLh+EPe7DTucsX5puqu1Fjbdzl1f7f74S5MdcfNysL32mK5f3/WHcXNm2AwTjH6pQDtRH0a/VCDVdcC8vylcNIf1IjDtcDr2avfV3gFqxkWPOS1xCn4+3/1aYZlxO1sH1w/i3oNaPiewfumq6t2adjjd19Xuj7802RHXL8fdl+d6j9WHsXYmm2GC0S8VaCfqw+iXCqS6Dpj3Ny1nKklsJs41KkrE1e6rvQNZM5yqx6GSTD+fd7hbfbidrYPrB3HvQS2fEli/ND2Um9dsNu1xvLOr3R9/abIjrl+Ouy/P9R6rD2PtTPdfvR1i9EsF2on6MPqlAqmug9O8v205U0liMzFViPDH9e73akTWDKeHcjjo9t7vVh9uZ+vg+kHce1Dnu52xfml6KOvNcHGiP693v/cobIYvhNEvFWgn6sPolwqkug5O836kGc4dIvxxtft0zY/NG+x+ea/TQX/MPy1vT5aWpgfD5sF1l7n/lNjhjPVL012tPZSD6b7i7q92f/yluX4eB9f97f5jurrf7KRH12eerB6wZ4x+qUA7UR9Gv1Qg1XVwW0ROWC9q1LlEhKvdh5rh+aJhducsrVWf6bGwecBZ5i5z70F9ZjOcn8L5pWH35zTDey/Px5shy+WT3h1Gv1SgnagPo18qkOo6WGsIU59hM7eohri64bpeTLj5qmZM5WX+L+tHq1XmJClc10ekp11afTqXpt3qkjS9gDN2f/ylyZ75zVnYXn+/rs6y+nKuPT6W6ye9N4x+qUA7UR9Gv1Qg1XVAXbppCFOxYXPFTZe6Wl/pESsd7fpsLJ/ceUDcurz5pvyctpM2hOlhnXHDpTtPbjI94Am7P/7SZCVuOsvc36bj1grn9ZPPTnp0c2awfOdJ7wyjXyrQTtSH0S8VSHUdTI2CzdmdIjZZK3Nsrhw+nfy6ZlxWs8tbk8q0MD8Otg9uys+d53T9XAK3XJr2u1eSprvDtDub21+am+cRbvrbvQd1fd7spEc3Zz5ZWd45Rr9UoJ2oD6NfKpDqOvhgM5wbA1i9cwmLG29qzOXJWJywettlDuZOyfbBTfmZdspPcS5P/Ddwy6V7JWw2nfBk2v3hlyYrcbdFjYWV086vLNvpSY9uz3y0srxzjH6pQDtRH0a/VCDVdbA28adWw+a6uXMcsTivpiVsbkw33WpRym5unI7Kusn5QbBwcFt+Tgsr9WY+x+IZcdOl6fa7zfD8RA+m3R9+aW6fx/kk52dS197pvPOt2UmPbs98NC2zqSNGv1SgnagPo18qkOo6WCkCc5VgszCd4Yi19cuC4XzAzY3Lc7E0m1sj20tzoVreeFt+5t2Sajjf9Z/zY1959tOe95vh4nEtdmd780tz+zzOO56fyOLx37p94tlJj27PfDS9+mzqiNEvFWgn6sPolwqkuo6Y+Nc1ZeoSbFbOdWax+9zjbkrYYvfbbnS+aHjbWbghuWVRwFg5uC0/57suHtUfn9gMl49s3v3RlyYrcdOei1PMd1W8PuebspMeJWc+sBlmGP1SgXaiPox+qUCq64iJ/4FmuKhzi91ZuKkYi/aTdKvzrSwszHdzXWfm4hNYOkjKz3nP1UcVj4mfArdemva9ffQJ9g3n3VnY+tJkJW7adXGG89Hrrw8LITvpUXLmg9X9d43RLxVoJ+rD6JcKpLqOVkb+1CbYrGXV41xULhrUokWm3Wq6Pasg8938uawt8//+yhGLB9kzO++7PMfyFLHJT+F085XpmW1qhtnL8OBLkz2PrL+dT3tx3sVp75z0KDtzYPXiAYvRLxVoJ+rD6JcKpLqOpuLA5mTqSmzeMTcrtg8Wbev3qWb8flqcbkp6xlRM2LywqD5/Tof+weNPHi9LaaM6+PP0sKYznByW+DEcbr8xnWNbS5rv8baWHWx4aarncdHfFqeN8x5v4qwnyzNkJz1Kz7yyunuMfqlAO1EfRr9UINV1NPWiq5k/NQo270l2nyvR0Z+BH+O++G/WrU573TaWg/MZwsUZ/0wKLrdenuryUd04vgr8HI6HXKsefSLZ/bGXJnse026X79rF63Pj4gTpi3OQnzlf3T1Gv1SgnagPo18qkOo6Wpn5U8lg8y72Z+toOvON+TseWbc6HcXGtbXq82d26TMvP6uP6uD0IrARjpvXpjNsbIbT/svdH3ppsucxnWDlXctcvg75ixPyMycvr2yG2oJ2oj6MfqlAquuEmX/Vc6aOweZ9pwPYOFnpP9E5+CntVocT3RYW5NUndt/cDNdb2dyG2Aqn7SvTCbY2Qw642P2RlyZ7HtPxV81w5fU5uHoZVl6ctTNP52VTJ4x+qUA7UR9Gv1Qg1XWSd4THq8DxCH7G5ZdDcKgc/Jh2q0M14cfE1ACXDg99ezM8P7cr845sBxYuTd1pczM8HXG5+wMvTfY81prhfMO1lQp5++LkZ2Zx+1PeB0a/VKCdqA+jXyqQ6jrJPyicigubWxwO4cfZTZE7fSWYjbxo/Jn0lbPbSnU8yyPNcL2WnbAQWLj0eDM8HnK9++aXJnseq80wOW+4fQ1WX5z0zMXd7RqjXyrQTtSH0S8VSHWd5FN/6k5sbhLH8NPZ5Td/p68Us5l3qz/u3OnF922nL/c+1AzjPi7OMZ/lhLXAwqXpBXugGR6Oudl960uTPY+yql11w/l73EurL0565umM6d3tGKNfKtBO1IfRLxVIdZ2MFJ0Vf6ZV6o/pH2TZeg9pl7vwO9/mvSh011bLz8nv00n412vOjqtHLHyCP9LX9+GXZqM/4smdTvw5Z056twKjXyrQTtSH0S8VSHWBqf8JY//e1b6vdacZrjsdd8DCZ/js8veleDkefynfHKNfKtBO1IfRLxVIdeETPyr8Vp82fq9m+L1em8d84mXl98Lolwq0E/Vh9EsFUl1417n/zZrhC/PPDFcw+qUC7UR9GP1SgVTXhLn/bj3IZvhZeDV8Oa4x+qUC7UR9GP1SgVTXhAr1bpeEbIafxA+T1zD6pQLtRH0Y/VKBVNdk+rDwzSa/zfCT+GHyGka/VKCdqA+jXyqQ6ppM14TerAjZDD8JL4avxg1Gv1SgnagPo18qkOqaMfnf7KKQzfBz+GHyKka/VKCdqA+jXyqQ6pq95+y3GX4OXkc/TL7F6JcKtBP1YfRLBVJdZ8z+9xr+NsNP8aZ/a/ApGP1SgXaiPox+qUCq64zvGDxeor4zm+Gn8MPkdYx+qUA7UR9Gv1Qg1XV2mv5+N/nkdNwBC/tGNfTD5FuMfqlAO1EfRr9UINW1EC3qz3cb/TbDz3J4Jb1kmGD0SwXaifow+qUCqa6FP97sk+QDm+Gn+d1LhilGv1SgnagPo18qkOpaesNLQjbDz/PH+/0/Dp+B0S8VaCfqw+iXCqS63pzNUE/G6JcKtBP1YfRLBVJdb85mqCdj9EsF2on6MPqlAqmuN2cz1JMx+qUC7UR9GP1SgVTXm7MZ6skY/VKBdqI+jH6pQKrrzdkM9WSMfqlAO1EfRr9UINX15myGejJGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/VCDVpRy1MLAgpRj9UoF2oj6MfqlAqks5amFgQUox+qUC7UR9GP1SgVSXctTCwIKUYvRLBdqJ+jD6pQKpLuWohYEFKcXolwq0E/Vh9EsFUl3KUQsDC1KK0S8VaCfqw+iXCqS6lKMWBhakFKNfKtBO1IfRLxVIdSlHLQwsSClGv1SgnagPo18qkOpSjloYWJBSjH6pQDtRH0a/JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXDv7Ff6VHUAsD0a639W/+Kz0L7UR9SHYp/Os//CA9gloYiHa9rb/+4oeP2n6ev22j+0I7UR+SXQr//cEP0iOohYFo19v668cnVcPtvyv/thnuC+1EfUh2Kfz4cfei4X9pAHf8l921C7zrgWjX2/rrx0PVMHbPfzH+/rG5731WF9WLoJ2oD8kunVofP67a2Az9WHpXeNcD0a63dah6D1zDW22G/97c9/7212pnaCfqQ7JLp/l+7zso25qhlwz3hbc9EO16W8eq9zcb9xXNcGvBzI7WO6OdqA/JLlH62FizrRn6Hed94W0PRLve1qnqba6Gq80w1rZdNPw79vQPDXeFdqI+JLvEeL9T6jY1Qy8Z7gzveyDa9baoelurYdUMt53kcAab4a7QTtSHZJf+c4jqu61uUzNkX+0F73sg2vW2pqq3sRquNcPDlcBNFw0376i3QTtRH5JdOgTwQX3RcEsz9Osne8MbH4h2va2p6m2shmvN8N/pamLzjnobtBP1Idm1e1wy/ECvm0sj29oN3vhAtOttzc1w+2fBB2zOToVvw6fEx/38vdoV2on6kOzavfPFwMGvj3y8WupV8c4Hol1v69wMN1XDtWa4snzj1CD9Q8NdoZ2oD8muvZt73XCzm6qlXz/ZH976QLTrbS2a4ZZqeKcZ3m18W/fTG6GdqA/Jrr1b/v0gS4+Zq6X/Ys3+8NYHol1va9kMN1TDlWZ4/F5JuPfVkq376Z3QTtSHZNfO/YsAPhq6aMixXjLcI977QLTrbV00w/vv90oz5EPiu91yvje2tQe0E/Uh2bVzl185ZvERfv1kz3jvA9Gut3XZDO9ey7vXDOsTTJcM/cXaFdqJ+pDs2jniF49/IDxfc/SS4R7x5geiXW/rshnerYYrzZDVwEJuLpDbvgit90A7UR+SXft2eclw4MKflwx3jTc/EO16W1fN8F41vNsMq+PPlwz9Csqe0E7Uh2TXvpG+/52+RvLoRcP5kqH/Ys0u8e4Hol1v67oZ3qmGeTNcVL7qV+Z8yfDutUm9EdqJ+pDs2rWpEP5naniPfiY8XTL0s+R94u0PRLve1lT1zg2xLG33m2FxNZA9DmyGO0I7UR+SXbtG+EavG7to6L9Ys3O8/YFo19uaq962apg3w8XFwOLoZX/0N2tHaCfqQ7Jrz+ZLhuePhR/7VJiDvGS4V7z/gWjX2zpXvU3VMG+G50PD6kVDbj/xKyj7QTtRH5JdezZ9Frz8+ZGrf/PXT7xkuFO8/4Fo19taVL0t1TBvhiyerB18ccnQr6DsCO1EfUh27dh0yfB4xW/koiGHeMlwt/gFCES73tay6m2ohmkzvOx8a780y4+cy+uSejO0E/Uh2bVjy0uG5yF/2tpivmTItnaHX4BAtOttXVS9czVcu6S3pRnmpW/aiTPYDPeDdqI+JLv26+r7yIs/OtzGf7FG/AYEol1v67Lqnavhyt8Bps2Qq4F/pTdOpkuG00fPLOv90U7Uh2TXfl3/ZSGbm68ATsf7WfJ+8SsQiHa9ras2d68apuWPxX9PpS+94Djfxg9+BWU3aCfqQ7Jrv8jdudg9+A/XzP9ijZcM94tfgUC0621dVz02Q1rd0mbI2t/5rSfTJcN5J7+Cshu0E/Uh2bVb0yW/udjNnw6zfQc7e8lwz/gdCES73tZ1mVv8zWBWDbPuNx3y9/xT0vrOt3AK/9BwN2gn6kOya7dOqbvsgQ9dNJwvGfov1uwYvwOBaNfbuql6dTWsmmH8uNr6zu1x/qtEbtHbo52oD8muvUq+cHL1lZQa+3rJcNf4JQhEu97WbdUrq2HWDOfvliw/M76yqIyLIqldoJ2oD8muvSJ0Lz46ZmnLZUD/xRoFfgkC0a63lVS9qhpmzZC140fIpx9vLgguLhku/ixR+0A7UR+SXTs1XTK8uOS3/V+79l+s0QG/BYFo19vKql5RDbPdWTo2w8X1w6WLZX72Kyh7QTtRH5JdOzVd82MTLN6/aOi/WKMDfg0C0a63lVW9ohomu19cD1ypfRernMM/NNwL2on6kOzap/SSYfrHh6n56ydeMtw3fg0C0a63lTbDZTVkBXebYXq+yyuJbNkM94J2oj4ku/bp5p+sAcv3/nrQS4Y64vcgEO16W3kzXFTDywKX7H71ATJbFxcNL9dWPnHWu6KdqA/Jrl1a/RbytouG8yVD/8WaneP3IBDtelsrzXCtGia7szTtdrV5cHlV8XpT7452oj4ku3Zp7ZLhxn/tmn28ZLh7/CIEol1va60Zzlf2Lktesjsr00XC6bhF7+Og+TLiafPysqLeF+1EfUh27RKBm/S/1c64MO3jv1ize/wiBKJdb2u1Gc63XFTD292nK4Bzz2OX80E31whv9tBbo52oD8muPSrq34aLhv6LNZrwmxCIdr2t9WaYVsP1Zjj3vps/I7xZsBnuC+1EfUh27dEpbvP2x03FnxB6yVATfhMC0a63VTTDrBre7n77fRIWpmNu/6zw9hC9M9qJ+pDs2qGVf7Lm5O5FQ//FGs34VQhEu95W1QyTarilGV6t3N1Bb452oj4ku3aItF25LMiNqxcNp0uGfv1ENsMdKZvhbTW83Z2F5UfDLPGXh5dbR8mS3hftRH1Idu3PfNGvttL8/BdrdMbvQiDa9bbqZnhTDVeb4bLlsdPpiOnD5OMGWLIZ7gPtRH1Idu3P/HeCd9SXFL1kKJvhntxphotqePw7wZvdb/+KMLB2bH7LnycX1VHvjnaiPiS7dmfjJcOVvyP06yda4JchEO16W/ea4VU1vNl9+pvBi2a4aH5pc7x7p3ontBP1Idm1O1svGaYXDefvp3jJUIHfhkC0623dL2kX1XC1GbJ5sljkx8vLg34FZVdoJ+pDsmtv5m53X3LR0EuGWuK3IRDtelv3m+F01S/8fbs721fHs9tf+SXDedU/NNwF2on6kOzam+2XDJP65z9yrQv8OgSiXW/rfjO8qIZrzfCq480XBVeuDrJqM9wF2on6kOzamQcuGSb9b6qVfpasI34fAtGut7WhGS6r4fXua1f/WJ52v7xkeL6ZTb012on6kOzamanblRf91v61a//FGl3i9yEQ7XpbW5rhshqCG+ZrgtfVb1oHq7NN96o3QTtRH5JdO0PO3vk7QXa6boCseslQ4BciEO16W9s62k01ZH21Gc5/f3h086nxyofMeku0E/Uh2bUvGz8Ozi8azn+i6CVDnfALEYh2va2NV++uqyHLcwFk82w679FNb5yaoX9ouAe0E/Uh2bUvxOzdbsdul/ux5iVDTfiNCES73tbWz3WvqiGr638wuNz/tv9Nt9oM94B2oj4ku3Zl+kPBu90u23G+ZMi2xG9EINr1tjb/xd9lNbxaTBre4qLhzSVDv4KyK7QT9SHZtSuk7IZ/dIYdFxcN/RdrdINfiUC0621tboaX1ZC14lPhxXdQWFnafrd6ebQT9SHZtSebLxmedz3XQP/FGt3gdyIQ7XpbD1S0ZTVkafULKGG+aFjdyKbeGe1EfUh27cmmf7LmZL5COF00nP/FGi8ZasbvRCDa9bYeqWi3lwHZSo+e92b7QnGxUe+GdqI+JLt2ZC53bJeuWySbXjLUAr8UgWjX23ro4t18GXBLM5xuTMufzXBHaCfqQ7JrRx64ZHjzD9fMrfIe/0WbPeFND0S73tZjH+vO1fC0OX2+nH+RhPbH1qX6SL0V2on6kOzaj7X/ZZMV7EyPZOM+m+Ge8KYHol1v67FmeLX7nSt/d28Lpz31zmgn6kOyaz8e/ArJRZGcjr3PZrgnvOmBaNfberAZTvufNqZmmH3HJBz3rW4LbOqN0U7Uh2TXfhCwm/85QnY/dL25Jd5nM9wT3vRAtOttPdzQTgecfj7+GFba3+Ej47WPi6f79Q8N3x/tRH1Idu3Gg5cML76wsv2Soc1wV3jTA9Gut/X4tbvjEacfj0eG09at2HWlNPoVlB2hnagPya7dIF8f+FdnOODHvzZ//STYDPeENz0Q7XpbjzfD4yHHH+Z/4PC4lYj6x083pmboV1DeH+1EfUh27cXU7h74V2fmQx64ZGgz3BXe9EC0620NNMPDMcf/Ts1w/brfX2uXDOfrjTbD90c7UR+SXZJGMbQD0S4t/bX1F8PPimUz/AZIdkkaRS0MRLu09Le/GNqOdqI+JLskjaIWBqJdurD+IbF0jXaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDskvSKGphINolaRDtRH1IdkkaRS0MRLskDaKdqA/JLkmjqIWBaJekQbQT9SHZJWkUtTAQ7ZI0iHaiPiS7JI2iFgaiXZIG0U7Uh2SXpFHUwkC0S9Ig2on6kOySNIpaGIh2SRpEO1Efkl2SRlELA9EuSYNoJ+pDsus7+Bf/lV4LtTAQ7XrU3/xX2j3aifqQ7PoG/vXjv/ykLf7ly/VdUAsD0a4H/f3jL37SG/jLov8RtBP1Idn1Dfz3x4//brps6LXFg3i5/sOPakYtDES7HvTXjx+XbeLf/Fev52//D+FjaCfqQ7LrGzhO1i2tz2tlhwuswRfimzj+6h4R7XrQ8cVbVsO/3uAa4r+3Xzl7pyum0fIv30s9iHaiPiS7+v33OBw2tJ1/ea3s//3P6cViS81O78YB0a7HHMvEj+Unyn+9wcfL/95+4fN9fnH+Pr2XXvP9ANqJ+pDs6nfMk8DmumhF/LRbFEMvGn4TvB2BaNdjePUWL9/h42V+3IJq+b1e/782P5x/v881Nt4ILxp+AO1EfUh2tdtcdg6fo370ouG/4t7++8pXHk+vlRX5m+DdCES7HvJvXr2La4YPXXf6ls1wez3662uusf0dL/RfT76n6b30ouE42on6kOxqx4fJ9//Q8FAhP3it7PhHei99xW16tfxc/Vvg3QhEux4y9bpFkToubb/u9E2b4cbHE23qK4rU4Zsh4bkf03Mn/p/CB9BO1IdkVzviZNMlww82IorhK/eq6Sn4cfK3wLsRiHY9hBdvWVlOVW9zNfyOzfBw9WzbEzg8en58ormzPbeFTm/F9lqvK7QT9SHZ1W36MPluWTvt+KFGNN3XK38YO100ZFOteDMC0a5HZB9A0i+21ovv2gw3XZ87VjZ+fqLpZX7yfU0F1I+Th9FO1IdkV7fNTYf9PvJvGnKKwMIL2tyk9QV4MwLRrkdkte7BK0/fsRkeH9OWx795x4853MsJC0/Cnfh/C8NoJ+pDsqsbYXL3WuDUiD5y0ZBThBf+N7N5Bn6c/B3wZgSiXY/gtbu4vjZVvY2N6Ts2w+MD2nLlbPOOH3O8m6PnttDp2uTzu+67op2oD8muZpsvgbHfhy73TdcnX/qzWD9O/kZ4LwLRrgdkHyafm+G2gvFtm+GGR3R6/s9vhueXlIUn8ePkj6KdqA/JrmZbe8785ZGPXCyb/87wlT+K9ePkb4T3IhDtekDa6s41ZlM1/IbNkMJ7vx+d9nv+Q5//zvDZlY278f8YRtFO1IdkVzOa4d26d9rtiJURW+/tWzs9B5vhd8B7EYh2PYBWd/lljUUz3FINv28zvPuQtu73cekL/QRf94zeFO1EfUh2NSNK7tWc8yXDj1Wi4wW3F+9UxxfBPzT8FngvAtGuB/DSXV7JWjbDDdXwGzbD6SHde/Bb9/sEx8r2/A95p2b4Bc/oPdFO1IdkV6+tH42e/0IwsDbmXy/85ZMT/9Dw++CtCES7tpt6RNEM77+s37AZ8ojuXaL7on9lEH9/RVvzDw0/iHaiPiS7ek3NkM01y0uGu/8cdXrNXr7ivgHeikC0a7v8s8fLZnj3A9Bv3AzvXDqbn+gb9Sie0dM/tn5XtBP1IdnVa+Mf/k1l6GTvn6PyMuy8IH8LvBWBaNd2VKOrGnHZDO+WjO/XDKfCe6/ysdNb9ai87Gsr2on6kOzqRZDcKTmXlwx334l4FfxDw368FYFo13a8clf96aoZ3utN37kZlhcNF8+TlTcwPXf/0HAM7UR9SHa1mirfnao3f37Kf3feid7iG9bv4fROHBDt2mzlj9Kum+Gdavj9muHiCVQXDdnl4H161PSe2gzH0E7Uh2RXq41/ZsheP+YvX+z7T+w2vmp6Pt6JQLRrs5VPHqdidS5YZTX81s2weFSLK4vv1KN4Rm/0p5NfinaiPiS7Wm3rOPMlQz9IPZounfoVlHa8E4Fo12Z3muGiYVXV8Ps1Qx7Q0XrnW/bHN+pRPK03+tPJL0U7UR+SXa22fS562unYH/0XWw54EfwKSjveiUC0a7OVEnGueufyVBSN8+7fxPyP0RyxeGN5yfCdetRK3dc2tBP1IdnValMzXP4xon9peMCLYDNsxzsRiHZtdrcZbqqG364ZXnS+1YuG56d2wOIbsBl+CO1EfUh2tSJG6orDTqcPT71oGLZdatXznd6IA6Jdm/HCXX+Uuqx6G6rht2uGl51v7YNiboZfQdER7UR9SHZ12vTV5Mudpr853PX1Muvxd8EbEYh2bbX2v5dxUfXONWutYn3zZrhSkdhp2vf9muEb/enkV6KdqA/Jrk5T6WMzN9Ugvm/B1q5bkV9O/i54IwLRrq2mDsHm7LLqnXvWSnu63P0z/PtjPY3HM32smlek6Ub2eqMedXpCNsMxtBP1IdnVaUvDuf7LwocuGv7nv4de+Z9P/xLv6bzxoP6z7dzs/9967//853TWuye1GX4XvBGBaNdWa3+RdlX17lXDqhn++6/TrX/9+5G299eHWs1ceKu/uJtv44fVz8rHnsHD/v43dxP3w9KNLfuE4z42w0G0E/Uh2dVpS8OZ9pnLEtv5H9lNPfK493RooEdy/XF5LEuly6JGf5tlHXV5R/+62H+10S4ebRzIXbJ5ddDFs1Qj3ohAtGurjc1w8Rd5aTe63n1GkZktugoreX2JasdPl6bT3fki8dz1qs9Vuem8E+uXimcQWMwez3zc9IqxkD/0v6d3AlkzvtlntaeWd6U7aCfqQ7KrU1LUrk0l6Nwep56VVqxFZ7ooZNxFcocXtS13UcCy/W8fyuKObg5I+9xFLzw4PUY2ru9gZVlfjTciEO3aaq1CTLWGzbk8hayOXO+O61Z1MB8+1xy2L8SBaWPkkJVLl7Pz01p5ZOFciqcnl5y0fAZhfl1uHu389ObX9vygbixe3tn1fuk+K6/D+bnpcbQT9SHZ1SkpatemxrQoQaykR52b4Vwpjzg8ucOs6V1aNrnLs55dt73zHSXnv62Gl5cVcdiNH22G3xRvRCDatdVaW7kpVHU1zPtX0qrCfF9spy3vsM6PS9MZs3a1xH5R19ZbH/scTnX6aX2fK8t7n1+Xq4Pn9fPOizu89Hd+N5dnzPdZeSVshh9BO1Efkl2dkqJ27bTHxQfOU4vKrr2dm+FF15ruIbnDrJNd2Lbz1XOY7yg94vqRr/TN2I2fbIbfFG9EINq11VpbmXoIm6Gshre7r/ad850VFw2PN93ezdZLhtN+hwt5/HjzDJeVkUd6fd3v7jM4mJ/F5WNicfnkONvqI7m2POHaPiF7LWyGH0E7UR+SXZ0IkaLgJJcM57WsUM7N8LKRTYfPhe1sveydbN338tFMd3TzIfHR1SNfuxAZ1ZAfrl8hTm8z7HZ6Hw6Idm3F63bzWWhS9apqmOx+7kY3pm7EZtJtjss3FWouPLe3XJoe6uHn6ZjrO1n2NPa5Pu1pNbPcc3ruF0dPi8u7Xd7jwrzrtcWhRTHMXr6LF0CPop2oD8muToRIUXDY4/Iq21TQ2FyamyH/PZmb2FTY2Dyo2t4Bux3Uu17Uvatd/xv48ejyoiGLJxe73mmGVw1TX+70PhwQ7dqK121LM6yqYbL7svD89e/AzweUo9Wixw03lee0nHahC9OJjxv8fP0Ul8sX+882PIMjlpb3MB+6fKQsXj3b5b1cOh9bFsPs5ZgOuPdCKUM7UR+SXZ0IkfVmOBW8yz2Ki4YXjfC/x8P+9Z/z4Umjuupw1xYdbrknp45zn62ddfqe8fLBsXK02Hd6oNN5p5sun3/6PNTh9D4cEO3aitdtUzMsquHt7ufCM39LYvHVWpbYuikwHHz9qKbjb5rkNY4/7ZfXvovVtEhtegYH88syr827XTzSi0c1OZ8xnu/pBNO3XubTXRTD007Tv15zsngwJzbDj6CdqA/Jrk6EyHXvOWOHq2ts8zKbC8tmOB90Pnpro5pPs7jjRQlcPuDF8mLnRdtbPvZ5OT3vxcO66Lg2w2/q9D4cEO3aitdtWzNcVhRWcLP7ec9lOTmvnranWnR19/NubE+me7nbd9jx1MGms13eyeUiW/ljrZ7B0fXjnbcvS+DFo8L5fBd3c3xh5oXjzUfL7yIv/gry8n7CdNrlObUV7UR9SHZ1IkSW3enC3I7Ynkxl6rZSLvpUdtaNjWo+y/IOWLo9+twCz3eZrR1M64sTs3LzgJfV8PqJTpcU2VSX0/twQLRrK163mwZxU/VOzkUmLT3n3efWcnXmaZ1ltq72mg++LHNTj7zpQTfYkcOn405bJ1drbC3vb+MzOJrWeGRsXb967HXx8E9L4fpJxc7TPUyP9eahrL0bgfWrA7QJ7UR9SHY1mrrPajOcetTNDqzfXjQ816n0pNua4XyS5X5z17s9OLlpbe/p1OeqN+9584AX1XClGSYXTfWleB8C0a6NVq8tTV2HzdlKGbnefd7t+sTzDafNqfSk1/MCCyfTndytO1fPKnuSVy3tajNsfQYnFw9t2rg+9PZOzqXvptrF/Vw9/NuHUtzE8uXrqm1oJ+pDsqvRvWY4VyO2z6Y6dd2Y8lJ3xnH5jbPp7MvdyhPftrt5he0Zy+d1tm+fyrIa2gy/Kd6HQLRro6w0HU3ths2z8wWsZZm53n3avm0mV/fI1sX9nO/i4nFNR96WqGvTCdic7iTpfWzeHPHAMzia1g6L05E3Lyo3JA8jfU5/c/zq+cLqCVi2GY6gnagPya5G95rhhg+N2Z7NNyRFK2xqhrc9L2Rt8Wy6db7X1d2vO920nZ53utFm+F3xPgSiXRtlLedoqiNsLsxFZdlGrndnMys83ERnmSrZssKwdLA8wXQf99vO9aO5fZbsMZ/+dg8W7j+Dk7mirZe1mzs9P/vsXibz+ZJiuLzfS6zaDEfQTtSHZFejO81wtf6FmyqG6pjAYWUznOvYxcNibeWx3tzt2uO76XTTjul5V3uuzfCb4H0IRLs2um1EuC5XC9NNy0Jztft02qyYXF6eS5rNtMPR+YFNe1YtCjcV7LS9eDjXCzevw/ZngLnk8d/kcd48rOlh5KUPd9rjdH9XDzRf1Sa0E/Uh2dXoTjOc6s9NuwrTbdcdbzrlSvfb0AznNnbxqNbubzLdPh00FT42z66fM5sr5117CaZ1NtWF9yEQ7drophFNrqrehbn8nNvK1e5pd8LVXU67nh/B+fThXG1WKlDmZs/rO+Fctx1tPuSBZ4CLhx1YXri516p+ztjn9i0CN18VR1Y3vFi6QTtRH5Jdje40Q27Nb165KPfhZjgXw8t9VpsepsOmh7O1GV4fd2XtZpvhN8H7EIh2bTTUDBclaOojV7vfdKCl023TXU6PYL4nFm4eANv5OS+x66IWXa1cbYbrlQeewYRVJEXu5py3rfjW3fZ480Idsbh6lAq0E/Uh2dXoqiVdqS/Trdx6p2ndb4anHW52uXvg6fa5q21thtPTWCnH02ltht8U70Mg2rXRWDOcb51rztXubP34K8NtU2lZuZ73Nw/tanlL10kK1+UlwOSC4PUSm5ueAeaOe5CVPY47N8PT9tqLfLL6Dk2mR375aNJFbUM7UR+SXY3qZsiN91we/NFmODW6687F6sppw1VXW72jlWZ42rrFzTbDb+r/b+9ul9VGsjSMdkxUdd1Ah6vsuv/7nDzwSgh9gJTHZuuYtf60lQghyIg9z4DdnX1oMtrZqbMMx4eHzpmdnqOHhmgZbmEIpvHo+ofZJW9ZtW0l/O7fZ+52mk1bZfjIPLsmabh6m1tl+DDfVt7MTE64v8rqIvukTqiTyU6hh2U4PPjMfXw9js2nZTiG4fz5WX5ehnni3jLceUPK8KSyD01GOzv1luEkDS9P/UQZju1zvYcctUfzp7vlXamzKLBmGljTPw/mH0QOH1rcy/ihrPfr/L42P/yptZu9lxPuXzOLyrBH6oQ6mexUyhBZzbg89lzOv/pcGY41On/6k8s2e4vvYBkmAZXhSWUfmox29srntoiTWeotjRV0ee796ZMvz7YtAum6kIPb+jVurn/eSK6ZtXOnFTYvtA/D40mpY+9gcP+ZLMxfd3pPm9Zu9t7qGdc1ZdgldUKdTHYqZYisfRM3RtpTd1X1JOEeh9j4mosbenLZZm/x7T0vNsrw2dN4kes+fMhoZ698bptff+VwxV0G3Z9+sKuGr8U+Cil/vtxP/jxZ3lc6q+dOFvPH+yDLYp7UVYa3T2Q95OYJ9wvLcNel2ZA6oU4mO5UyRNbKMO2zR55x8ZkyHMPwac+tUIZv6boPHzLa2Suf26K47lNvzSSefsxOP9hVw+kfN5ELTdcnyw/66Ga9Im+ttH6tT72Di+EKF2t3On/h2y098Pydr52x69JsSJ1QJ5OdShkiK2U4VtoO06c/SbiHRZUH1x4dLrvWsFez33f3luGzn4VzHWV4Utd9+JDRzl753DrKcFpPP+5PP9olty8N88xUzvWgXfTQV4bDyTkcZPXvjbd8/6yOspp8HB9WnrlVhg/f1fONyAl3V+m4f0apE+pkslNpo3uaodJ2yXM+fKIMx5dce24eOksZXlcf3A6vkY1oMtrZK+HRU4bTFpqdnqO9XXJLpFznfn3ra74NG7c+pN/GtW51enF/tMPkw7haPnXxytfjx2W40bkTOeHuKs+fxbbUCXUy2an0tJ82i+liaLlJIPWX4dBo60/NY9v3M7vy03eWV3lyv1sJuLHMq2Ujmox29tpqro28ureooeH0HD1MnqkxZK7/Md7N9fCPWznukZMXbynrMb/W7DXuj3bIE27/63jLj27xWW99+FPDR7N5J8ON35WoMvyM1Al1MtmplBpb9tOQaY/TZzhr8vzuMhxbdP2Zw0ttFdyQCL1luPFGtz6HjWVeLRvRZLSzVxKirwyXaZj1HD1MnqnZdcYKGu4u/5HVJ64nL88eaukqizdZvy/D3e9g+Ly+397L1md6W9/1IeeczTsZ3pYy/GlSJ9TJZKfSED45HD3JtFH6a1JIvWU4vuJKNH54UnCLO9lbhmNa5HBm+QYvnrxLXiYb0WS0s9dWQuwrw0UaZvlwmNxV2ySCsnK17wu84VKLs+/udRlaeSD3fPAd3MJw8jrzO1iU4eatTj3ZifHVcny1eCkOSJ1QJ5OdSltluPJl4Krleb1leF1/8Ip5fOPCY1jmeH8ZDm9h/bp5UBmeVTaiyWhnr60C2lmG8zScra4nz/flX8G7u8zkWdNi3Jk5w1M2/57fRZYm7t/xsXcw3uZlfXyd2VnLXLsuPP6Uh2tvvP3hxe5vdPlS7Jc6oU4mO5W2CifLz8sn591O7CzD4bu57b9H+DhWh+ePj+4uw+F49brjbW2UYQ4pk41oMtrZayigeUfdd9ID92mYxYfJ01Jn2YbTBMzSh+nVH36zdrN955OLrSTTrChztOsdjBfO4nALs091mWvDiQ8LLucstuhi/tKRC+/8yLiXOqFOJjuVNjpuqLDn5bPotb4yHAts42nNcOHVhFs+f3cZbn0t+GF8zfmDw9vOIWWyEU1GO3sNZTHPju2+mpvG23j6gy+6rufP23BylbucGSNr9/dfOX3tzvNIs5JMwx3koQPvYLz38dwcz25iWYbjM9eq70cWx49g5aTlS19lVRl2SZ1QJ5OdUhkjs/DJ6oNOG+XMsZG6ynAssEcvONbfsvZWHtpfhmMGL178FobK8KyyEU1GO7vlg5s3xP4yvNVJk6UHybP1yO1Lwyxc3S6+t3Jy+lpIbnXUxfBgXufAOxg+q9tV119oWYaPqu/HsDZe7MGtzB/KqjLskjqhTiY7pTJG7sNnLKIcPzJE2ZBgPWU4vt7K13Y3t06b594YhpMb3l+Gt7iY3fPtBRd3tnl1Xuy6ER8y2tktH9wnynASdbfTt5Ln1jJZGKzH1Hh/u7d2uJnVKMpjjx/M4e53MJw4vfHxpOkr5cS7N3hdamZv++N9DC883sn2rcze0PDA7Hz2SZ1QJ5OdUquJc117Emox5tPs+EAZjpd4ElqTUpve2fid393ygTK8XffuDU+uu/go1ld5vexEk9HObmu50gw1ksPHbumShc1ouUXkIs6Gi8xq5mHprXh4/vBgDu/lseHBve9gfPN3Nz6eNlld+6hvl/s+fZnLi49PvX2+0x/hx//hmSZLg4fvk2dSJ9TJZKfU2s+iYynl+LEk2FBJy/C6sxZswxW25drTE//5dnmFf6Zr06uuvdDFyg1OrvHPsJwLDw/dN+CTN8nrZCeajHZ224iIoTpy+MTYKDlubsnzx99Dzvw9SZws3aTEFg9cl3fv7PASd502uj62XpnzZ+57B2NAzl5wPPG2nqX7d3i7YGvD6439yCuPz7xF6sdJl+XhnKvZa6+/EnulTqiTyU6poQynjbNeQ1vGr9auh8fLcNJlW4Y7eXzqWm7uKsNh6erfJn9sZ+U/leFJZSeajHZ2GwpjI2xy+MzK6ZPkaY3S5I8Xa81yPWFRbdcbXI+5FZezmxzOXC+Wg5nhkxhfas87GKNt8Y6yPnkgz5+deXfVO7ctmabhinkYbrwSO6VOqJPJTqlHnbSze4aMusbTk2haBtvdj7Ybxi57lIb3EXikDG9vee7b+u/Ga9+0UiI70WS0s9sQHZ8rw+H8HF1sJ896slzuZPnI9QZz8Nzl7M0o2niNi+GTuEXojneQw837bsaHNnpt81UmWzJebM0iDIe72p3T3EmdUCeTnVoZJJPyGbLnPoa2DedfI+xoGW5G2dTtVrbTcNaAh8pw6y7aOfnT/Ycx3EUOqZOdaDLa2S+f3KwihlzJ4XPXJ+TgajN5NtLs4/yVmPn4Lm934wxf/G28xOU1liV1MdZXjpun72A8IcdT4/WG18vJi1vbepXpfT5Iw+XbGU5Whn1SJ9TJZKfWdqpttN1Szr/W08Ey3BWG0y7besL89Y6V4f++DbE39XFK/nhfhquLVMhWNBnt7LfeK0Ot5HCHyzPy5xgybWYrWD6CJn+c2lhet/hJeKZdbCsax+//cvjhyTsYm241Nscn59H1T7qZ/luSifuLrp+z+m6GF84hB6VOqJPJTq3FD6Pjr7s5fu7uS8ODZXg9fOYuwcYbnFgG4MEyXLnsv5czcnB3B0/eIy+UrWgy2tlvPSOGDsnhHh9PyR8Ha8mzGWYfV1h98MiXX8MLbj7j4UNXd9/VPXoHY/ptXHJ87vWKOXzUcndmubnaj7Nzrh68EDukTqiTyU6tReXk+Ej25BmXpxwrw7Vv6lbMvpybRdy/a9/dHS7D/327u+xw0RyutumBj4hfJFvRZLSz3/DT4/o3VDncpT0nf7q5/ze09//VLAs/1l9uY3nV0/v+sd1Lw63efxLb72D45LYTbLib6wkPg23yr54vxn8OPTFvw7VzPuRhZdgpdUKdTHZqDaG0Vlfn9e2f4b9VZjULe30brvr4okMZ5pBC2Yomo539hr552Gz7fF/9/H8ker4/zsIPGy3zE27tpuNiB97BZ/w9/Ovn/DfTrPl7OOnBOUMZ/tKb/Z2lTqiTyU6xjBKZs18+seX3kbxc9qLJaOeAfHQ/4bM78uUev8z6d5/sljqhTiY7xfw0etTX/Jr1N5W9aDLaOeAnhoQWOYPhN+ccclTqhDqZ7BTTOUdp6RPJXjQZ7RzwE39O5gyyn/6aYa/UCXUy2amWYeLn5L3yefnAziB70WS0c0Q+Ox/e72H4Dljp90qdUCeTnWrDvw/2Fdg+vmQ9k2xGk9HOEcOvj34L/i34MfmzUifUyWSn2vDjqNLZx4/JZ5LNaDLaOcKXTL+V7KYfk7ulTqiTyU614Tswv47uk0/Lx3UK2Ywmo50jxv9evhzzlen8T0udUCeTnXIZJ74E28WPyaeS3Wgy2jkkH56fk38Hfkz+tNQJdTLZKad1jvDXMk8lu9FktHOIf538+xj20o/J/VIn1Mlkp14GitjZwW/v55LdaDLaOSafni8Nv77hK0OV3y91Qp1Mdurl31T43/TYwRes55LtaDLaOSZ/N833TF+fH5M/L3VCnUx26l1rR+vskjT0/eo5XHfjQ0Y7x1x/gvQ10+/gmoYi/xNSJ9TJZOcE/v3jj3+lzl4ff9NQRp/E5f8WXmS0c1DLie9+Sv49XDI/f6ZH6oQ6meycwDe/JB/xj68MT+MShRcZ7Rz0w5dMv48f3+3mp6ROqJPJzhn4CuyQb0L6LJKFTUY7R/kl+Xfi+99PSZ1QJ5MdoFeysMloB+iUOqFOJjtAr2Rhk9EO0Cl1Qp1MdoBeycImox2gU+qEOpnsAL2ShU1GO0Cn1Al1MtkBeiULm4x2gE6pE+pksgP0ShY2Ge0AnVIn1MlkB+iVLGwy2gE6pU6ok8kO0CtZ2GS0A3RKnVAnkx2gV7KwyWgH6JQ6oU4mO0CvZGGT0Q7QKXVCnUx2gF7JwiajHaBT6oQ6mewAvZKFTUY7QKfUCXUy2QF6JQubjHaATqkT6mSyA/RKFjYZ7QCdUifUyWQH6JUsbDLaATqlTqiTyQ7QK1nYZLQDdEqdUCeTHaBXsrDJaAfolDqhTiY7QK9kYZPRDtApdUKdTHaAXsnCJqMdoFPqhDqZ7AC9koVNRjtAp9QJdTLZAXolC5uMdoBOqRPqZLID9EoWNhntAJ1SJ9TJZAfolSxsMtoBOqVOqJPJDtArWdhktAN0Sp1QJ5MdoFeysMloB+iUOqFOJjtAr2Rhk9EO0Cl1Qp1MdoBeycImox2gU+qEOpnsAL2ShU1GO0Cn1Al1MtkBeiULm4x2gE6pE+pksgP0ShY2Ge0AnVIn1MlkB+iVLGwy2gE6pU6ok8kO0CtZ2GS0A3RKnVAnkx2gV7KwyWgH6JQ6oU4mO0CvZGGT0Q7QKXVCnUx2gF7JwiajHaBT6oQ6mewAvZKFTUY7QKfUCXUy2QF6JQubjHaATqkT6mSyA/RKFjYZ7QCdUifUyWQH6JUsbDLaATqlTqiTyQ7QK1nYZLQDdEqdUCeTHaBXsrDJaAfolDqhTiY7QK9kYZPRDtApdUKdTHaAXsnCJqMdoFPqhDqZ7AC9koVNRjtAp9QJdTLZAXolC5uMdoBOqRPqZLID9EoWNhntAJ1SJ9TJZAfolSxsMtoBOqVOqJPJDtArWdhktAN0Sp1QJ5MdoFeysMloB+iUOqFOJjtAr2Rhk9EO0Cl1Qp1MdoBeycImox2gU+qEOpnsAL2ShU1GO0Cn1Al1MtkBeiULm4x2gE6pE+pksgP0ShY2Ge0AnVIn1MlkB+iVLGwy2gE6pU6ok8kO0CtZ2GS0A3RKnVAnkx2gV7KwyWgH6JQ6oU4mO0CvZGGT0Q7QKXVCnUx2gF7JwiajHaBT6oQ6mewAvZKFTUY7QKfUCXUy2QF6JQubjHaATqkT6mSyA/RKFjYZ7QCdUifUyWQH6JUsbDLaATqlTqiTyQ7QK1nYZLQDdEqdUCeTHaBXsrDJaAfolDqhTiY7QK9kYZPRDtApdUKdTHaAXsnCJqMdoFPqhDqZ7AC9koVNRjtAp9QJdTLZAXolC5uMdoBOqRPqZLID9EoWNhntAJ1SJ9TJZAfolSxsMtoBOqVOqJPJDtArWdhktAN0Sp1QJ5MdoFeysMloB+iUOqFOJjtAr2Rhk9EO0Cl1Qp1MdoBeycImox2gU+qEOpnsAL2ShU1GO0Cn1Al1MtkBeiULm4x2gE6pE+pksgP0ShY2Ge0AnVIn1MlkB+iVLGwy2gE6pU6ok8kO0CtZ2GS0A3RKnVAnkx2gV7KwyWgH6JQ6oU4mO0CvZGGT0Q7QKXVCnUx2gF7JwiajHaBT6oQ6mewAvZKFTUY7QKfUCXUy2QF6JQubjHaATqkT6mSyA/RKFjYZ7QCdUifUyWQH6JUsbDLaATqlTqiTyQ7QK1nYZLQDdEqdUCeTHaBXsrDJaAfolDqhTiY7QK9kYZPRDtApdcIBf2YCX/03q90y2QF6ZRw1Ge0AnVIn7PffDOBQhkC1jKMmox2gU+qE/TJ/B8oQqJZx1GS0A3RKnbDb/W/JyhCol3HUZLQDdEqdsNdfGb8jZQhUyzhqMtoBOqVO2Gv+laEyBMplHDUZ7QCdUifstAhDZQiUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oTjMoeVIVAt46jJaAfolDrhuMxhZQhUyzhqMtoBOqVOOC5zWBkC1TKOmox2gE6pE47LHFaGQLWMoyajHaBT6oSrPzNcb7bD7+kJO2WyA/TKOGoy2gE6pU64UobAF5Rx1GS0A3RKnXBVUYYAn5Rx1GQBgJ9BGQJfUMZRkwUAfgZlCHxBGUdNFgD4GZQh8AVlHDVZAOCn+GshDyxlDitDoFrGUZMFAF4tc1gZAtUyjposAPBqmcPKEKiWcdRkAYBXyxxWhkC1jKMmCwC8WuawMgSqZRw1WQDg1TKHlSFQLeOoyQIAr5Y5rAyBahlHTRYAeLXMYWUIVMs4arIAwKtlDitDoFrGUZMFAF4tc1gZAtUyjposAPBqmcPKEKiWcdRkAYBXyxxWhkC1jKMmCwC8WuawMgSqZRw1WQDg1TKHlSFQLeOoyQIAr5Y5rAyBahlHTRYAeLXMYWUIVMs4arIAwKtlDitDoFrGUZMFAF4tc1gZAtUyjposAPBqmcPKEKiWcdRkAYBXyxxWhkC1jKMmCwC8WuawMgSqZRw1WQDg1TKHlSFQLeOoyQIAr5Y5rAyBahlHTRYAeLXMYWUIVMs4arIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAADeVLKwyQIAAG8qWdhkAQCAN5UsbLIAAMCbShY2WQAA4E0lC5ssAADwppKFTRYAAHhTycImCwAAvKlkYZMFAAAA4Mv7K//ffmQVAOAV/i8JElmlSvZhkFUAgFdIgQyySpH/Zh8GWQYAeAElciqz35LtBwDwQrPfkpVIsT+zDaOsAwD8ekrkVBZfGdoPAOBllMipLLfDfgAAr7L4LVmJnMXw9z9zCADwQkrkXOwHAFBHiZyL/QAA6iiRc7EfAEAdJXIu9gMAqKNEzsV+AAB1lMi52A8AoI4SORf7AQDUUSLnYj8AgDpK5FzsBwBQR4mci/0AAOookXOxHwBAHSVyLvYDAKijRM7FfgAAdZTIudgPAKCOEjkX+wEA1FEi52I/AIA6SuRc7AcAUEeJnIv9AADqKJFzsR8AQB0lci72AwCoo0TOxX4AAHWUyLnYDwCgjhI5F/sBANRRIudiPwCAOkrkXOwHAFBHifx6f+UznsgjS/YDAKijRH49ZQgAfA1K5NdThgDA16BEfj1lCAB8DUrk11OGAMDXoER+PWUIAHwNSuQF/lrIA0v2AwCoo0TOxX4AAHWUyLnYDwCgjhI5F/sBANRRIudiPwCAOkrkXOwHAFBHiZyL/QAA6iiRc7EfAEAdJXIu9gMAqKNEzsV+AAB1lMi52A8AoI4SORf7AQDUUSLnYj8AgDpK5FzsBwBQR4mci/0AAOookXOxHwBAHSVyLvYDAKijRM7FfgAAdZTIudgPAKCOEjkX+wEA1FEi52I/AIA6SuRc7AcAUEeJnIv9AADqKJFzsR8AQB0lAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADA1/ef//w/3yOIf6xL6v8AAAAASUVORK5CYII=\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56040,"title":"A Binary Search","description":"One way to locate a target value in a sorted array, is to use a binary search algorithm. Here, you test if the midpoint in the array is the target value. If it is, great! You're done. If not, then you continually narrow your search area depending on whether the target is less than or greater than the midpoint. The algorithm is as follows:\r\nGiven an array of sorted values (X), and a target value you wish to locate (target)\r\nCalculate the index of the midpoint of the array X by taking the average of the largest and smallest indices and rounding to the nearest integer.  \r\nIf the value located at the midpoint matches your target, set found to true.\r\nIf the target is less than the value located at the midpoint of X, narrow your search to the lower half of X by setting the largest index in the array to the midpoint - 1. \r\nIf the target is greater than the value located at the midpoint of X, narrow your search to the upper half of X by setting the smallest index in the array to the midpoint + 1. \r\nRepeat the steps above until found is true.\r\n\r\nWrite a function that takes X and target as inputs, performs a binary search and outputs the index of target value as well as the number of iterations it took to find the target.\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 926.467px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 463.233px; transform-origin: 407px 463.233px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 383.5px 8px; transform-origin: 383.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eOne way to locate a target value in a sorted array, is to use a binary search algorithm. Here, you test if the midpoint in the array is the target value. If it is, great! You're done. If not, then you continually narrow your search area depending on whether the target is less than or greater than the midpoint. The algorithm is as follows:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 104px 8px; transform-origin: 104px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven an array of sorted values (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 126.5px 8px; transform-origin: 126.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e), and a target value you wish to locate (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003etarget\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2.5px 8px; transform-origin: 2.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003col style=\"block-size: 164.967px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: decimal; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 82.4833px; transform-origin: 391px 82.4833px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 41.3667px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 20.6833px; text-align: left; transform-origin: 363px 20.6833px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 149px 8px; transform-origin: 149px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eCalculate the index of the midpoint of the array \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 195.5px 8px; transform-origin: 195.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e by taking the average of the largest and smallest indices and rounding to the nearest integer.  \u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 231px 8px; transform-origin: 231px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf the value located at the midpoint matches your target, set found to true.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 41.3667px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 20.6833px; text-align: left; transform-origin: 363px 20.6833px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 188px 8px; transform-origin: 188px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf the target is less than the value located at the midpoint of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 127px 8px; transform-origin: 127px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, narrow your search to the lower half of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 34.5px 8px; transform-origin: 34.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e by setting the largest index in the array to the midpoint - 1. \u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 41.3667px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 20.6833px; text-align: left; transform-origin: 363px 20.6833px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 198.5px 8px; transform-origin: 198.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf the target is greater than the value located at the midpoint of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 129px 8px; transform-origin: 129px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, narrow your search to the upper half of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 11.5px 8px; transform-origin: 11.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e by setting the smallest index in the array to the midpoint + 1. \u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 134px 8px; transform-origin: 134px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eRepeat the steps above until found is true.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e\u003cdiv style=\"block-size: 556.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 278.25px; text-align: left; transform-origin: 384px 278.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 610px;height: 551px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\" width=\"610\" height=\"551\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.25px; text-align: left; transform-origin: 384px 21.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 84.5px 8px; transform-origin: 84.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003etarget\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 255.5px 8px; transform-origin: 255.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e as inputs, performs a binary search and outputs the index of target value as well as the number of iterations it took to find the target.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [loc,iter] = binarySearch(X,target)\r\n    found = false;\r\nend","test_suite":"%%\r\nsortedData = sort(randi(1000,[1 200]),'ascend');\r\ntarget = sortedData(randi(length(sortedData),1));\r\n[mid,iter] = binarySearch(sortedData,target);\r\nassert(isequal(target,sortedData(mid)))\r\nassert(iter \u003e 0)\r\n%%\r\nsortedData = sort(randi(1000,[1 200]),'ascend');\r\ntarget = sortedData(randi(length(sortedData),1));\r\n[mid,iter] = binarySearch(sortedData,target);\r\nassert(isequal(target,sortedData(mid)))\r\nassert(iter \u003e 0)\r\n%%\r\nsortedData = sort(randi(1000,[1 200]),'ascend');\r\ntarget = sortedData(randi(length(sortedData),1));\r\n[mid,iter] = binarySearch(sortedData,target);\r\nassert(isequal(target,sortedData(mid)))\r\nassert(iter \u003e 0)\r\n%%\r\nsortedData = sort(randi(1000,[1 200]),'ascend');\r\ntarget = sortedData(randi(length(sortedData),1)); \r\n[mid,iter] = binarySearch(sortedData,target);\r\nassert(isequal(target,sortedData(mid)))\r\nassert(iter \u003e 0)\r\n%%\r\nsortedData = [3 12 35 76 221 225 301 367 399 512 783 800];\r\ntarget = 12;\r\n[mid,iter] = binarySearch(sortedData,target);\r\nassert(isequal(target,sortedData(mid)))\r\nassert(isequal(iter,4))\r\n%%\r\nsortedData = 0:160;\r\ntarget = 5;\r\n[mid,iter] = binarySearch(sortedData,target);\r\nassert(isequal(target,sortedData(mid)))\r\nassert(isequal(iter,6))","published":true,"deleted":false,"likes_count":5,"comments_count":8,"created_by":140016,"edited_by":223089,"edited_at":"2023-01-05T19:14:54.000Z","deleted_by":null,"deleted_at":null,"solvers_count":119,"test_suite_updated_at":"2023-01-05T19:14:54.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-23T17:47:03.000Z","updated_at":"2026-10-27T12:11:31.000Z","published_at":"2022-10-17T14:02:13.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOne way to locate a target value in a sorted array, is to use a binary search algorithm. Here, you test if the midpoint in the array is the target value. If it is, great! You're done. If not, then you continually narrow your search area depending on whether the target is less than or greater than the midpoint. The algorithm is as follows:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven an array of sorted values (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e), and a target value you wish to locate (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etarget\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCalculate the index of the midpoint of the array \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e by taking the average of the largest and smallest indices and rounding to the nearest integer.  \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf the value located at the midpoint matches your target, set found to true.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf the target is less than the value located at the midpoint of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, narrow your search to the lower half of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e by setting the largest index in the array to the midpoint - 1. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf the target is greater than the value located at the midpoint of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, narrow your search to the upper half of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e by setting the smallest index in the array to the midpoint + 1. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eRepeat the steps above until found is true.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"551\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"610\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etarget\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e as inputs, performs a binary search and outputs the index of target value as well as the number of iterations it took to find the target.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55970,"title":"Interpolated Value Between Two Points","description":"Given two points,  and , a new location x, and a method \"linear\" or \"cubic\", return the value of a linear or cubic interpolant through the two points at the new location x, using the formulas below.\r\nLinear: \r\nCubic: \r\nwhere   and .\r\n(This formulation for the cubic interpolant has zero derivative at each interpolation point.)\r\nIf , your function should produce an error with the message \"x2 must be greater than x1\".\r\nIf , your function should produce a warning with the message \"x is outside the interval [x1,x2]\" (but still return the value of the interpolant).\r\nIf the method is given as anything other than \"linear\" or \"cubic\", your function should produce an error with the message \"method must be either \"linear\" or \"cubic\"\".\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 348.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 174.25px; transform-origin: 407px 174.25px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 56px 8px; transform-origin: 56px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven two points, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFkAAAAoCAYAAACVdVbLAAAEpklEQVRoQ+2auasUSxSHvX+AuIYGos9AUBRUBNHE4D2XRFBcUMRA3AIDBRUXXqKCgom4RwYKmomguICCmrgEGhm4BApGLsj7A56/T/pA03RVnZrp6XsZu+HH3NtdXXXqq1OnTtXMyLjuGjiBkYG30DUwroPcghN0kMcg5CmyaZ10uQXbxmITS2XUf9KbHONyPBnA16WDuY3kGDTGy8LgvHRLuuG11QuZyu9J2/9gwMbUWJzxgvZCBvAj6bR39Ia8HKCfS2s9TueBfEAV7ZD+GnJwud3bWczsRakXU5AZsXfSHu/USDU4ZM/fqz9XUjM8Bbnz4rhXwOeQNDlWLAX5u16+KB0ZMg9sqjszVNEHaVNspscgr9KLd6TV0t2mrBrCeggZr6SNob7FIJ/QS4elqdI3Jxxi+Gzpi/Sx8s48/T9eeuasq99itMdVt3HoaVMRMIh8+W8pGDJikEnb/pFSIQWw+4qGFhaG3Nfn5mJwbBNDXVyDnBnEyOWF3bTFVF5c2GGMyAouNWgLbZ6SZkpVx/rdTAwg8fiFtCIwgnYbiBOKBi7oc3fxYL4+8aKXRWcnFp23+4lq+3pcBrlLNZWPAfDwx9Ik6aTU73pjkJeprtpZGoP8v17CI1OQyzSYhk+LGywGc4vOkAK2fREr8a66PtiC1cSssj4HF7+mIQOSweFiMeBKJusDom9rCtVX1xVm31cpFQo9phlkznRqd8SDgGyxHAPbCA0hEISF16VZVT7QIRNYIwUzAg/dosyoQLYYVedBdbaTKp6V9kpNp4qsK8TemxWghJLQuYNtMGapjCerSqa6MU/GEJQTk4FYXnSCi4HK4QErJdJEribiY3UQ8d4NEqGLfgAt5MV2n/JeB6FcXwufN4Urd6w8RbkfW70pS/Zh7QwCcnnAWQR/SqHTM7PH1hTv/sAgB8vHPDmZ/1Xcxo7/jur+Nom8GA9KLXyDhFwedAZxjjRdimU7uZCxnxPK4CllDLIZ6PUwpibJP3lnXVzGqz5L1bibgkxYWSJ9kh5KnjhZHn+Ly5zBkMOnPDQXMvXT9+DApVIYYvKDQAUEfDyDPBSA5J4Wv6v5Mp3eH/DqGGTLZw1adQErwwz9Xc52ogc5RQU5kK2fsbUnmSfGVlozBtvqtq/mQaHnBiUGuRrjeSe4fQ1QtlnlCV1UkQOZHS7nFtEvNFKeHDu0t3MC9uvHaqYxnk5aFnrugUwZawdbOBvpFbL3PS9kY7NFNkVTzxRkOgmsa5I3b/RM4XKZVEy2skzNqymvqWmc+nnP++2yFzI7ygVSMsX1QMZupgXXIM4gvJCBxMFOzm8+AMFmJMduD2QG/LbX8byQAZzrEV6P9kBmkH9IOSdmbC5Ci23MthTkrG+qaSgHsnn0k4yp5wGdgmznC7Hpbj86ob1z0jTpuFQ9S/bYE4Pc0w98ciFjJDG6yTMGzptZ0Lz5eB2ocsrI8/I22gPWytjpHP/X5dO081bKytV7gZxjdKws6dl6yc4uAPOvxLY3qxNFI5aFXO1xpuE8WyU7uyAnZ1b0/XXZaEJuarDGfD0d5BaGqIPcQW6BQAtNdJ7cQW6BQAtNdJ7cAuRfxLobODyJP7EAAAAASUVORK5CYII=\" style=\"width: 44.5px; height: 20px;\" width=\"44.5\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 44.5px; height: 20px;\" width=\"44.5\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 103.5px 8px; transform-origin: 103.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, a new location x, and a method \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 32px 8px; transform-origin: 32px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e\"linear\"\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 10.5px 8px; transform-origin: 10.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e or \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28px 8px; transform-origin: 28px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e\"cubic\"\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 89.5px 8px; transform-origin: 89.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return the value of a linear or cubic interpolant through the two points at the new location x, using the formulas below.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 22px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 11px; text-align: left; transform-origin: 384px 11px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eLinear: \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALoAAAAoCAYAAABJoOC5AAAG4ElEQVR4Xu2cO6slRRDH734AkVUjXQzUDYwUfCUaKIi6gggKumyyoPgKTBSfgYHo4gsT2VXYYBNRcU0WfIMGiuAj0MjARyRGPj+B1k+6pB17Zrpqus+cudMDxT2cc7q7+l//rq6q7nP37LSnIbACBPasYI5tig2BnUb0RoJVINCIvgozt0k2ou/sXCQ0OEfknS2nw+2i34civ265nlup3tqJDsmfETm0AAKprg+Lrt9sJZu2WKk1Ex3iHBe53kHy84JNf9ywbdH5LZFbGtltyK+V6GcKTN+J3CTyqQ2yf779usj5Ipc52k5tcqV08KJzgU4de7Ht10r098RieOP7HJbDm/8Q2t0of+eI7Vlo6PC4Q/9VNlkj0fGInwSP7Ak9jkrbewNb3pC/JImbfnSxXeXckTat7+zjrZHoU7y5hjx7I8tdLK/nSA6Zxx+GhcaCPF3klQKsY+zrRO4p1F8BlYa7WBvRSea+FvGGHA9JW6o07wdDg+5cXh3ivpa5MzHvj0UeLUTMRvTqS3PaAE9J88dEzhLx1KO/l3ZfhT40Tkcjb39TZqPhy5hXJVQ7JcIuRALtCde6eu5KorNdXyjybYIcgH12z2dTjFir7ZehY0+1RD2oxsVqbLp8WsSaGJbA9TcZ9wORVJ6Abe4IixIdWZiHw/x/nkj4WkRnUaZ0U6zceveFLgx4gwhJl8ajKc8B0HzOVp576MI2eloBJnvKgn8FXamdWx+8+e8iukg0qdV+crx6aVwh3AVB4vlAcpJmHmJpHnT/Irz2zD/uvxTR0fNWkbtE2G14UqEgVabbwhwulb/mXWksRmclfR6UwCNcIRJv+XEFIsfQTCT2hDF4ltcY7QxLA/muxuecLD5rbKuk7sb2kF8NZOm3FK6K5ZDDosLE481LUlCVInrct5KZ97oJvu6m7nmMEZ2O40FS5SzIjpfLDQeIky8xEq37dUu1QdsqWS2E1LbqObsLPcYm5QiGplkCV02O+2Jv/Rw9ch1RjmlqED0+n0jZSPFyzSOH6HifX8LsU7EoxP3T4SVzAC35HS/Rx5I+Dd/QdSwxjOdTAlclcl89nZyErZ7Q0hKuaO7Vhz8ns/QLH94dMFIqrxuyqepLwt91nAfkvfuN8/h3rByi82XdVlCgezeE7XsJdy+8RGfHwpvsF0lVamKviVcnZs59puI6RPR4IVl3sXhOuXNJfc96xnC3dPJy6Ki7S2EHzitc5wC5RI8ViJWHADcHIkwBZBNtPURXsgxVVbqHSJZYeCquQ+VSPODbAVjrCSp2PTxglMvlM4oQLGwcXd/DFQtL4qh5FP3FuyM7DE42lZeB/5Mig+FzLtFjBQ5Kp3giHo83n6vqoiGIxbvh2R4RGcv046Q8te32EWEqrkPJqC4CT+I+5nhqxOg6poaCx+QNvYuU8uYQnIrNncE+g7jnEh0lugrgja4Wsd71mKvqwhws5UX11H116pgMcSLF+xavPgVXsETPVCFAK0I1Tm5rEr0bzu2T+XGq2/XmzJsrDZzjUFkqRvSuAlxzHfN0Kc8wV9UFXfrqzik9NcvPjTPj8piFXFNwZeHGnk/nES88S4I85sn185pEj8M5KiyvipwQ0Siiq6OGpMWIrgqwFeLllnhNVOeQU6LCIyK51YruAVLuAvHiqmFPHEoqCeLSJXr8FBZ5bgl4jPA1iR6HcyzisdJ1caLHhrRWF8aA29Tn6ulS5Ih1iBM5r265Xt2Lq+YPqWqQ5gxa24eYxLKlblnWJDp4s1PpM3Y/pzjRYwUsMaiXKLXaYSSeIU9dIo9gjJydw4sruw07a+rHI6o/uy85wHMirrJcjxFqE137z7lDVI3oqZiwFilr9Dv2w4v4nsjU8U9IB32xZdx3X6zdN77eSOzLkbQ8yAnykYKeXPXZBNFTd3hSeBQnOh1iOMuByFSi1GqvCXFu/F1LD/r14MoJ4psi1js7pebBQjpX5DMRz+W6IT202pVb6ChKdC3Y5w5eCtBa/QAmXumFTI9bSw8PrsTm14hswyKtgQuL2GKXYkRXUjwhCszxQ+AaYNKn3iCc6/qCB1eMupv/AwBJNHmF5W6/m+ga330kA54UoXpwXKRkMlOLvNZ+IRt12k38U6CpuC7pny3l2EHnwxWB50UeFOFQyHoA6SZ6t+IwVorLmdQ2f0d/vVI61uzOeSqulDx3047avTjmLXJoKdh8YMRK40e0lKVYaZZLOdtM6Ll1a7j+1wJ6GQsv/pKI1dHQ/lqRB0TIHXnYmbmS/L/zAstdl7mJ0sZvCLgRaER3Q9caLgmBRvQlWavp6kagEd0NXWu4JAQa0ZdkraarG4FGdDd0reGSEGhEX5K1mq5uBP4GWCTXOBbPeFsAAAAASUVORK5CYII=\" style=\"width: 93px; height: 20px;\" width=\"93\" height=\"20\"\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 22px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 11px; text-align: left; transform-origin: 384px 11px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 22px 8px; transform-origin: 22px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eCubic: \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 180px; height: 21px;\" width=\"180\" height=\"21\"\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 40px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 20px; text-align: left; transform-origin: 384px 20px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 23px 8px; transform-origin: 23px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ewhere  \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 80.5px; height: 20px;\" width=\"80.5\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-17px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 66.5px; height: 40px;\" width=\"66.5\" height=\"40\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 279.5px 8px; transform-origin: 279.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e(This formulation for the cubic interpolant has zero derivative at each interpolation point.)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 22px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 11px; text-align: left; transform-origin: 384px 11px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.5px 8px; transform-origin: 5.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 45px; height: 20px;\" width=\"45\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 273px 8px; transform-origin: 273px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, your function should produce an error with the message \"x2 must be greater than x1\".\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.5px 8px; transform-origin: 5.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 69px; height: 20px;\" width=\"69\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 335.5px 8px; transform-origin: 335.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, your function should produce a warning with the message \"x is outside the interval [x1,x2]\" (but still return the value of the interpolant).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.25px; text-align: left; transform-origin: 384px 21.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 142px 8px; transform-origin: 142px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf the method is given as anything other than \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 32px 8px; transform-origin: 32px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e\"linear\"\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 10.5px 8px; transform-origin: 10.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e or \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28px 8px; transform-origin: 28px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e\"cubic\"\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 151.5px 8px; transform-origin: 151.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, your function should produce an error with the message \"method must be either \"linear\" or \"cubic\"\".\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = interpolant(x1,y1,x2,y2,x,method)\r\n\r\n\r\nend","test_suite":"%%\r\n%% Valid inputs (result + no warning)\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(0.35,-0.73,0.41,0.33,0.35,\"linear\") - -0.73) \u003c 0.001 )\r\nassert( isequal(lastwarn,'xxx') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-1.20,-0.85,1.04,-0.17,-0.90,\"linear\") - -0.75893) \u003c 0.001 )\r\nassert( isequal(lastwarn,'xxx') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-3.23,-1.43,-0.30,-1.01,-1.09,\"linear\") - -1.1232) \u003c 0.001 )\r\nassert( isequal(lastwarn,'xxx') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-0.57,-0.25,1.94,-1.57,-0.33,\"linear\") - -0.37622) \u003c 0.001 )\r\nassert( isequal(lastwarn,'xxx') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-1.34,0.40,0.85,-0.70,0.03,\"linear\") - -0.28813) \u003c 0.001 )\r\nassert( isequal(lastwarn,'xxx') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(0.12,-0.99,2.05,1.20,1.46,\"linear\") - 0.53052) \u003c 0.001 )\r\nassert( isequal(lastwarn,'xxx') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-1.39,-1.96,0.89,0.42,-0.47,\"cubic\") - -1.1102) \u003c 0.001 )\r\nassert( isequal(lastwarn,'xxx') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(0.10,0.97,1.08,-0.57,0.50,\"cubic\") - 0.40976) \u003c 0.001 )\r\nassert( isequal(lastwarn,'xxx') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-1.19,0.65,0.17,-0.35,-0.51,\"cubic\") - 0.15) \u003c 0.001 )\r\nassert( isequal(lastwarn,'xxx') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-1.55,0.17,0.66,-0.06,-0.79,\"cubic\") - 0.10711) \u003c 0.001 )\r\nassert( isequal(lastwarn,'xxx') )\r\n%% Error for x1 \u003c= x2\r\nclear ME\r\ntry\r\n    y = interpolant(3.14,3.14,0,0,3.14,\"linear\");\r\ncatch ME\r\nend\r\nassert( isequal(ME.message,'x2 must be greater than x1') )\r\n\r\nclear ME\r\ntry\r\n    y = interpolant(3,2,0,0,2.5,\"linear\");\r\ncatch ME\r\nend\r\nassert( isequal(ME.message,'x2 must be greater than x1') )\r\n\r\nclear ME\r\ntry\r\n    y = interpolant(1,-2,0,0,0,\"linear\");\r\ncatch ME\r\nend\r\nassert( isequal(ME.message,'x2 must be greater than x1') )\r\n%% Warning about x\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-1.85,-0.21,-0.59,0.27,0.85,\"linear\") - 0.81857) \u003c 0.001 )\r\nassert( contains(lastwarn,'outside') \u0026\u0026 contains(lastwarn,'interval') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-0.94,0.16,-0.07,-0.27,0.48,\"linear\") - -0.54184) \u003c 0.001 )\r\nassert( contains(lastwarn,'outside') \u0026\u0026 contains(lastwarn,'interval') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-1.85,-0.40,-0.71,-0.54,0.06,\"linear\") - -0.63456) \u003c 0.001 )\r\nassert( contains(lastwarn,'outside') \u0026\u0026 contains(lastwarn,'interval') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-0.73,0.98,0.54,-0.16,0.65,\"cubic\") - -0.13286) \u003c 0.001 )\r\nassert( contains(lastwarn,'outside') \u0026\u0026 contains(lastwarn,'interval') )\r\nlastwarn('xxx','yyy:zzz')\r\nassert( abs(interpolant(-0.08,-1.26,0.54,1.11,0.64,\"linear\") - 1.4923) \u003c 0.001 )\r\nassert( contains(lastwarn,'outside') \u0026\u0026 contains(lastwarn,'interval') )\r\n%% Error about method type\r\nclear ME\r\ntry\r\n    y = interpolant(0.35,-0.73,0.41,0.33,0.35,\"asdfsadf\");\r\ncatch ME\r\nend\r\nassert( contains(ME.message,'method') \u0026\u0026 contains(ME.message,'linear') \u0026\u0026 contains(ME.message,'cubic') )\r\n\r\nclear ME\r\ntry\r\n    y = interpolant(-1.85,-0.21,-0.59,0.27,0.85,\"wombat\");\r\ncatch ME\r\nend\r\nassert( contains(ME.message,'method') \u0026\u0026 contains(ME.message,'linear') \u0026\u0026 contains(ME.message,'cubic') )\r\n","published":true,"deleted":false,"likes_count":5,"comments_count":4,"created_by":571375,"edited_by":287,"edited_at":"2022-10-17T23:37:39.000Z","deleted_by":null,"deleted_at":null,"solvers_count":142,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-20T16:46:57.000Z","updated_at":"2026-10-27T12:16:07.000Z","published_at":"2022-10-17T21:38:48.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven two points, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e(x_1,y_1)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e(x_2,y_2)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, a new location x, and a method \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\\\"linear\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e or \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\\\"cubic\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return the value of a linear or cubic interpolant through the two points at the new location x, using the formulas 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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eLinear: \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ey = (\\\\Delta y)t + y_1\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCubic: \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ey = -2(\\\\Delta y)t^3 + 3(\\\\Delta y)t^2 + y_1\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ewhere  \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\Delta y = y_2 - y_1\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003et = \\\\frac{x - x_1}{x_2 - x_1}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(This formulation for the cubic interpolant has zero derivative at each interpolation point.)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ex_2 \\\\le x_1\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, your function should produce an error with the message \\\"x2 must be greater than x1\\\".\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ex \\\\notin [x_1,x_2]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, your function should produce a warning with the message \\\"x is outside the interval [x1,x2]\\\" (but still return the value of the interpolant).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf the method is given as anything other than \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\\\"linear\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e or \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\\\"cubic\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, your function should produce an error with the message \\\"method must be either \\\"linear\\\" or \\\"cubic\\\"\\\".\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55980,"title":"Generate Pascal's Triangle Matrix","description":"Pascal's triangle is an arrangement of numbers where each value is the sum of the values adjacent to it in the previous row:\r\n\r\n\r\nThe values can also be calculated directly. The  value of the  row is . For example, the fifth row is 1, 4, 6, 4, 1:\r\nnchoosek(4,0)\r\nans =\r\n1\r\nnchoosek(4,1)\r\nans =\r\n4\r\nnchoosek(4,2)\r\nans =\r\n6\r\nnchoosek(4,3)\r\nans =\r\n4\r\nnchoosek(4,4)\r\nans =\r\n1\r\nGiven a positive integer n, return an n-by-n matrix that represents the values of the first n rows of Pascal's triangle. The first k values of the kth row of the matrix will be the values from Pascal's triangle; the remaining n-k values should be 0.\r\nFor example, for n = 6, the output should be\r\n1     0     0     0     0     0\r\n1     1     0     0     0     0\r\n1     2     1     0     0     0\r\n1     3     3     1     0     0\r\n1     4     6     4     1     0\r\n1     5    10    10     5     1\r\n\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1164.1px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 582.05px; transform-origin: 407px 582.05px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 375.5px 8px; transform-origin: 375.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ePascal's triangle is an arrangement of numbers where each value is the sum of the values adjacent to it in the previous row:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 425.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 212.75px; text-align: left; transform-origin: 384px 212.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 560px;height: 420px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\" width=\"560\" height=\"420\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 55px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 27.5px; text-align: left; transform-origin: 384px 27.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 150px 8px; transform-origin: 150px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe values can also be calculated directly. The \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 17.5px; height: 19px;\" width=\"17.5\" height=\"19\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e value of the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 18px; height: 19px;\" width=\"18\" height=\"19\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 22px 8px; transform-origin: 22px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e row is \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-14px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 53px; height: 34px;\" width=\"53\" height=\"34\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 124.5px 8px; transform-origin: 124.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. For example, the fifth row is 1, 4, 6, 4, 1:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 306.5px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 153.25px; transform-origin: 404px 153.25px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003enchoosek(4,0)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 4px 8.5px; tab-size: 4; transform-origin: 4px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003enchoosek(4,1)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 4px 8.5px; tab-size: 4; transform-origin: 4px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003enchoosek(4,2)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 4px 8.5px; tab-size: 4; transform-origin: 4px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e6\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003enchoosek(4,3)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 4px 8.5px; tab-size: 4; transform-origin: 4px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003enchoosek(4,4)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 4px 8.5px; tab-size: 4; transform-origin: 4px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 76.5px 8px; transform-origin: 76.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a positive integer \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 35px 8px; transform-origin: 35px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return an \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 12.5px 8px; transform-origin: 12.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-by-\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 140.5px 8px; transform-origin: 140.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e matrix that represents the values of the first \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 96.5px 8px; transform-origin: 96.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e rows of Pascal's triangle. The first \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 44.5px 8px; transform-origin: 44.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e values of the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 233.5px 8px; transform-origin: 233.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eth row of the matrix will be the values from Pascal's triangle; the remaining \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 12px 8px; transform-origin: 12px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003en-k\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.5px 8px; transform-origin: 63.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e values should be 0.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 53.5px 8px; transform-origin: 53.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, for \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 81px 8px; transform-origin: 81px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e = 6, the output should be\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 122.6px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 61.3px; transform-origin: 404px 61.3px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 124px 8.5px; tab-size: 4; transform-origin: 124px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1     0     0     0     0     0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 124px 8.5px; tab-size: 4; transform-origin: 124px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1     1     0     0     0     0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 124px 8.5px; tab-size: 4; transform-origin: 124px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1     2     1     0     0     0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 124px 8.5px; tab-size: 4; transform-origin: 124px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1     3     3     1     0     0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 124px 8.5px; tab-size: 4; transform-origin: 124px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1     4     6     4     1     0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 124px 8.5px; tab-size: 4; transform-origin: 124px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1     5    10    10     5     1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function P = PTmatrix(n)\r\n  P = zeros(n);\r\nend","test_suite":"%%\r\nassert( isequal(PTmatrix(1),1) )\r\n%%\r\nassert( isequal(PTmatrix(8),[1 0 0 0 0 0 0 0;1 1 0 0 0 0 0 0;1 2 1 0 0 0 0 0;1 3 3 1 0 0 0 0;1 4 6 4 1 0 0 0;1 5 10 10 5 1 0 0;1 6 15 20 15 6 1 0;1 7 21 35 35 21 7 1]) )\r\n%%\r\nassert( isequal(PTmatrix(4),[1 0 0 0;1 1 0 0;1 2 1 0;1 3 3 1]) )\r\n%%\r\nassert( isequal(PTmatrix(10),[1 0 0 0 0 0 0 0 0 0;1 1 0 0 0 0 0 0 0 0;1 2 1 0 0 0 0 0 0 0;1 3 3 1 0 0 0 0 0 0;1 4 6 4 1 0 0 0 0 0;1 5 10 10 5 1 0 0 0 0;1 6 15 20 15 6 1 0 0 0;1 7 21 35 35 21 7 1 0 0;1 8 28 56 70 56 28 8 1 0;1 9 36 84 126 126 84 36 9 1]) )\r\n%%\r\nassert( isequal(PTmatrix(2),[1 0;1 1]) )\r\n%%\r\nassert( isequal(PTmatrix(7),[1 0 0 0 0 0 0;1 1 0 0 0 0 0;1 2 1 0 0 0 0;1 3 3 1 0 0 0;1 4 6 4 1 0 0;1 5 10 10 5 1 0;1 6 15 20 15 6 1]) )\r\n%%\r\nassert( isequal(PTmatrix(13),[1 0 0 0 0 0 0 0 0 0 0 0 0;1 1 0 0 0 0 0 0 0 0 0 0 0;1 2 1 0 0 0 0 0 0 0 0 0 0;1 3 3 1 0 0 0 0 0 0 0 0 0;1 4 6 4 1 0 0 0 0 0 0 0 0;1 5 10 10 5 1 0 0 0 0 0 0 0;1 6 15 20 15 6 1 0 0 0 0 0 0;1 7 21 35 35 21 7 1 0 0 0 0 0;1 8 28 56 70 56 28 8 1 0 0 0 0;1 9 36 84 126 126 84 36 9 1 0 0 0;1 10 45 120 210 252 210 120 45 10 1 0 0;1 11 55 165 330 462 462 330 165 55 11 1 0;1 12 66 220 495 792 924 792 495 220 66 12 1]) )\r\n%%\r\nassert( isequal(PTmatrix(14),[1 0 0 0 0 0 0 0 0 0 0 0 0 0;1 1 0 0 0 0 0 0 0 0 0 0 0 0;1 2 1 0 0 0 0 0 0 0 0 0 0 0;1 3 3 1 0 0 0 0 0 0 0 0 0 0;1 4 6 4 1 0 0 0 0 0 0 0 0 0;1 5 10 10 5 1 0 0 0 0 0 0 0 0;1 6 15 20 15 6 1 0 0 0 0 0 0 0;1 7 21 35 35 21 7 1 0 0 0 0 0 0;1 8 28 56 70 56 28 8 1 0 0 0 0 0;1 9 36 84 126 126 84 36 9 1 0 0 0 0;1 10 45 120 210 252 210 120 45 10 1 0 0 0;1 11 55 165 330 462 462 330 165 55 11 1 0 0;1 12 66 220 495 792 924 792 495 220 66 12 1 0;1 13 78 286 715 1287 1716 1716 1287 715 286 78 13 1]) )\r\n%%\r\nassert( isequal(PTmatrix(5),[1 0 0 0 0;1 1 0 0 0;1 2 1 0 0;1 3 3 1 0;1 4 6 4 1]) )\r\n%%\r\nassert( isequal(PTmatrix(15),[1 0 0 0 0 0 0 0 0 0 0 0 0 0 0;1 1 0 0 0 0 0 0 0 0 0 0 0 0 0;1 2 1 0 0 0 0 0 0 0 0 0 0 0 0;1 3 3 1 0 0 0 0 0 0 0 0 0 0 0;1 4 6 4 1 0 0 0 0 0 0 0 0 0 0;1 5 10 10 5 1 0 0 0 0 0 0 0 0 0;1 6 15 20 15 6 1 0 0 0 0 0 0 0 0;1 7 21 35 35 21 7 1 0 0 0 0 0 0 0;1 8 28 56 70 56 28 8 1 0 0 0 0 0 0;1 9 36 84 126 126 84 36 9 1 0 0 0 0 0;1 10 45 120 210 252 210 120 45 10 1 0 0 0 0;1 11 55 165 330 462 462 330 165 55 11 1 0 0 0;1 12 66 220 495 792 924 792 495 220 66 12 1 0 0;1 13 78 286 715 1287 1716 1716 1287 715 286 78 13 1 0;1 14 91 364 1001 2002 3003 3432 3003 2002 1001 364 91 14 1]) )\r\n%%\r\nassert( isequal(PTmatrix(6),[1 0 0 0 0 0;1 1 0 0 0 0;1 2 1 0 0 0;1 3 3 1 0 0;1 4 6 4 1 0;1 5 10 10 5 1]) )\r\n","published":true,"deleted":false,"likes_count":4,"comments_count":1,"created_by":571375,"edited_by":287,"edited_at":"2022-10-17T23:39:27.000Z","deleted_by":null,"deleted_at":null,"solvers_count":159,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-20T17:01:14.000Z","updated_at":"2026-10-27T13:32:22.000Z","published_at":"2022-10-17T21:39:35.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ePascal's triangle is an arrangement of numbers where each value is the sum of the values adjacent to it in the previous row:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"420\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"560\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe values can also be calculated directly. The \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ek^{th}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e value of the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003en^{th}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e row is \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e{n-1 \\\\choose k-1}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e. For example, the fifth row is 1, 4, 6, 4, 1:\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[nchoosek(4,0)\\nans =\\n1\\nnchoosek(4,1)\\nans =\\n4\\nnchoosek(4,2)\\nans =\\n6\\nnchoosek(4,3)\\nans =\\n4\\nnchoosek(4,4)\\nans =\\n1]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a positive integer \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return an \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-by-\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e matrix that represents the values of the first \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e rows of Pascal's triangle. The first \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e values of the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eth row of the matrix will be the values from Pascal's triangle; the remaining \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en-k\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e values should be 0.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, for \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = 6, the output should be\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     0     0     0     0     0\\n1     1     0     0     0     0\\n1     2     1     0     0     0\\n1     3     3     1     0     0\\n1     4     6     4     1     0\\n1     5    10    10     5     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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55985,"title":"Generate Tribonacci Sequence","description":"The \"Tribonacci\" sequence is an extension of the idea of the Fibonacci sequence:\r\n\r\nThat is, each new term is the sum of the three previous terms.\r\nIf the sequence starts with 0, 1, 1, the first 10 Tribonacci numbers are: 0, 1, 1, 2, 4, 7, 13, 24, 44, 81.\r\nIf the sequence instead starts with 2, 3, 7, the first 15 Tribonacci numbers are: 2, 3, 7, 12, 22, 41, 75, 138, 254, 467, 859, 1580, 2906, 5345, 9831.\r\nGiven a vector of three numbers, Tstart, and an integer n (\u003e 3), return an n-element row vector of the first n Tribonacci numbers starting with Tstart.\r\nT = tribo([2 3 7],15)\r\n    T = \r\n    2 3 7 12 22 41 75 138 254 467 859 1580 2906 5345 9831","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 286.3px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 143.15px; transform-origin: 407px 143.15px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 257px 8px; transform-origin: 257px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe \"Tribonacci\" sequence is an extension of the idea of the Fibonacci sequence:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 22px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 11px; text-align: left; transform-origin: 384px 11px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"147.5\" height=\"20\" style=\"width: 147.5px; height: 20px;\"\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 194.5px 8px; transform-origin: 194.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThat is, each new term is the sum of the three previous terms.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 316px 8px; transform-origin: 316px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf the sequence starts with 0, 1, 1, the first 10 Tribonacci numbers are: 0, 1, 1, 2, 4, 7, 13, 24, 44, 81.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 383px 8px; transform-origin: 383px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf the sequence instead starts with 2, 3, 7, the first 15 Tribonacci numbers are: 2, 3, 7, 12, 22, 41, 75, 138, 254, 467, 859, 1580, 2906, 5345, 9831.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 106px 8px; transform-origin: 106px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a vector of three numbers, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eTstart\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 52px 8px; transform-origin: 52px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and an integer \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 52px 8px; transform-origin: 52px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (\u0026gt; 3), return an \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 97.5px 8px; transform-origin: 97.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-element row vector of the first \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 36.5px 8px; transform-origin: 36.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e Tribonacci numbers starting with \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eTstart\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 61.3px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 30.65px; transform-origin: 404px 30.65px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 84px 8.5px; tab-size: 4; transform-origin: 84px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eT = tribo([2 3 7],15)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 32px 8.5px; tab-size: 4; transform-origin: 32px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    T = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 228px 8.5px; tab-size: 4; transform-origin: 228px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    2 3 7 12 22 41 75 138 254 467 859 1580 2906 5345 9831\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function T = tribo(Tstart,n)\r\n \r\nT = zeros(1,n);\r\n\r\nend","test_suite":"%% \r\nassert( isequal(tribo([7;5;8],9),[7 5 8 20 33 61 114 208 383]) )\r\n%% \r\nassert( isequal(tribo([1;4;1],6),[1 4 1 6 11 18]) )\r\n%% \r\nassert( isequal(tribo([2;5;2],7),[2 5 2 9 16 27 52]) )\r\n%% \r\nassert( isequal(tribo([8;8;2],11),[8 8 2 18 28 48 94 170 312 576 1058]) )\r\n%% \r\nassert( isequal(tribo([6;1;4],14),[6 1 4 11 16 31 58 105 194 357 656 1207 2220 4083]) )\r\n%% \r\nassert( isequal(tribo([3;8;1],14),[3 8 1 12 21 34 67 122 223 412 757 1392 2561 4710]) )\r\n%% \r\nassert( isequal(tribo([4;5;3],16),[4 5 3 12 20 35 67 122 224 413 759 1396 2568 4723 8687 15978]) )\r\n%% \r\nassert( isequal(tribo([5;7;5],6),[5 7 5 17 29 51]) )\r\n%% \r\nassert( isequal(tribo([6;6;6],15),[6 6 6 18 30 54 102 186 342 630 1158 2130 3918 7206 13254]) )\r\n%% \r\nassert( isequal(tribo([3;5;5],13),[3 5 5 13 23 41 77 141 259 477 877 1613 2967]) )\r\n%% \r\nassert( isequal(tribo([8;3;2],4),[8 3 2 13]) )\r\n%% \r\nassert( isequal(tribo([8;4;3],16),[8 4 3 15 22 40 77 139 256 472 867 1595 2934 5396 9925 18255]) )\r\n%% \r\nassert( isequal(tribo([4;7;8],5),[4 7 8 19 34]) )\r\n%% \r\nassert( isequal(tribo([3;7;5],10),[3 7 5 15 27 47 89 163 299 551]) )\r\n%% \r\nassert( isequal(tribo([3;2;0],13),[3 2 0 5 7 12 24 43 79 146 268 493 907]) )\r\n%% \r\nassert( isequal(tribo([6;3;6],4),[6 3 6 15]) )\r\n%% \r\nassert( isequal(tribo([2;3;6],8),[2 3 6 11 20 37 68 125]) )\r\n%% \r\nassert( isequal(tribo([3;1;6],11),[3 1 6 10 17 33 60 110 203 373 686]) )\r\n%% \r\nassert( isequal(tribo([3;1;2],4),[3 1 2 6]) )\r\n%% \r\nassert( isequal(tribo([4;5;0],15),[4 5 0 9 14 23 46 83 152 281 516 949 1746 3211 5906]) )\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":2,"created_by":571375,"edited_by":287,"edited_at":"2024-02-23T16:46:42.000Z","deleted_by":null,"deleted_at":null,"solvers_count":194,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-20T17:05:51.000Z","updated_at":"2026-10-28T09:55:03.000Z","published_at":"2022-10-17T21:40:18.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe \\\"Tribonacci\\\" sequence is an extension of the idea of the Fibonacci sequence:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"true\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003eT_{n+1} = T_n + T_{n-1} + T_{n-2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThat is, each new term is the sum of the three previous terms.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf the sequence starts with 0, 1, 1, the first 10 Tribonacci numbers are: 0, 1, 1, 2, 4, 7, 13, 24, 44, 81.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf the sequence instead starts with 2, 3, 7, the first 15 Tribonacci numbers are: 2, 3, 7, 12, 22, 41, 75, 138, 254, 467, 859, 1580, 2906, 5345, 9831.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a vector of three numbers, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eTstart\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and an integer \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr/\u003e\u003cw:t\u003e (\u0026gt; 3), return an \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr/\u003e\u003cw:t\u003e-element row vector of the first \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e Tribonacci numbers starting with \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eTstart\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[T = tribo([2 3 7],15)\\n    T = \\n    2 3 7 12 22 41 75 138 254 467 859 1580 2906 5345 9831]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55990,"title":"Next Tribonacci Number","description":"The \"Tribonacci\" sequence is an extension of the idea of the Fibonacci sequence:\r\n\r\nThat is, each new term is the sum of the three previous terms.\r\nThe first 10 Tribonacci numbers are: 0, 1, 1, 2, 4, 7, 13, 24, 44, 81.\r\nGiven a value N, find the smallest Tribonacci number greater than N. You can assume N is a positive integer.\r\nFor example, if N = 42, your function should return 44. If N = 17, your function should return 24.\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: normal; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"block-size: 201px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eThe \"Tribonacci\" sequence is an extension of the idea of the Fibonacci sequence:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"308.5\" height=\"20\" style=\"width: 308.5px; height: 20px;\"\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eThat is, each new term is the sum of the three previous terms.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eThe first 10 Tribonacci numbers are: 0, 1, 1, 2, 4, 7, 13, 24, 44, 81.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eGiven a value N, find the smallest Tribonacci number greater than N. You can assume N is a positive integer.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eFor example, if N = 42, your function should return 44. If N = 17, your function should return 24.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function T = nextTrib(N)\r\n  T = N;\r\n  \r\nend","test_suite":"%% \r\nassert( nextTrib(1) == 2 )\r\n%% \r\nassert( nextTrib(2) == 4 )\r\n%% \r\nassert( nextTrib(123) == 149 )\r\n%% \r\nassert( nextTrib(44) == 81 )\r\n%% \r\nassert( nextTrib(4321) == 5768 )\r\n%% \r\nassert( nextTrib(4687514) == 4700770 )\r\n%% \r\nassert( nextTrib(7692704) == 8646064 )\r\n%% \r\nassert( nextTrib(3472930) == 4700770 )\r\n%% \r\nassert( nextTrib(3586437) == 4700770 )\r\n%% \r\nassert( nextTrib(2348734) == 2555757 )\r\n%% \r\nassert( nextTrib(1338363) == 1389537 )\r\n%% \r\nassert( nextTrib(9522523) == 15902591 )\r\n%% \r\nassert( nextTrib(6995230) == 8646064 )\r\n%% \r\nassert( nextTrib(685893) == 755476 )\r\n%% \r\nassert( nextTrib(8442284) == 8646064 )\r\n%% \r\nassert( nextTrib(10609) == 19513 )\r\n%%\r\nassert( nextTrib(4700770) == 8646064 )\r\n%% \r\nassert( nextTrib(15902591) == 29249425 )\r\n%% \r\nassert( nextTrib(615693474) == 1132436852 )","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":571375,"edited_by":571375,"edited_at":"2022-10-17T21:40:57.000Z","deleted_by":null,"deleted_at":null,"solvers_count":164,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-20T17:11:38.000Z","updated_at":"2026-10-28T18:09:30.000Z","published_at":"2022-10-17T21:40:57.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe \\\"Tribonacci\\\" sequence is an extension of the idea of the Fibonacci sequence:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"true\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003eT_0 = 0, T_1 = 1, T_2 = 1, \\\\dots, T_{n+1} = T_n + T_{n-1} + T_{n-2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThat is, each new term is the sum of the three previous terms.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe first 10 Tribonacci numbers are: 0, 1, 1, 2, 4, 7, 13, 24, 44, 81.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a value N, find the smallest Tribonacci number greater than N. You can assume N is a positive integer.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, if N = 42, your function should return 44. If N = 17, your function should return 24.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56000,"title":"Estimating Euler's (Oi-ler-z) Number","description":"Euler's number is an irrational constant given by \r\nStarting with x=0, count the number of times you can add a uniformly distributed random number to x before it equals or exceeds 1. Repeat this N times, then calculate the estimate of Euler's number by computing the mean of those counts.\r\nThe more iterations calcualted, the closer the approximation should be.\r\n\r\nThe input to your function should be the number of iterations of the algorithm to perform (N) and the output should be the estimate of Euler's number.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: normal; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"block-size: 501px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eEuler's number is an irrational constant given by \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"103.5\" height=\"18\" style=\"width: 103.5px; height: 18px;\"\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eStarting with \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003ex=0\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003e, count the number of times you can add a uniformly distributed random number to \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003e before it equals or exceeds 1. Repeat this \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003e times, then calculate the estimate of Euler's number by computing the mean of those counts.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eThe more iterations calcualted, the closer the approximation should be.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 339px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"446\" height=\"333\" style=\"vertical-align: baseline;width: 446px;height: 333px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eThe input to your function should be the number of iterations of the algorithm to perform (N) and the output should be the estimate of Euler's number.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = estimateEuler(x)\r\n\r\n  \r\nend","test_suite":"%%\r\nrng(0)\r\nassert(abs(estimateEuler(76)-2.710526315789474)\u003c0.001)\r\nrng(0)\r\nassert(abs(estimateEuler(90)-2.755555555555556)\u003c0.001)\r\nrng(0)\r\nassert(abs(estimateEuler(24)-2.583333333333333)\u003c0.001)\r\nrng(0)\r\nassert(abs(estimateEuler(51)-2.588235294117647)\u003c0.001)\r\nrng(0)\r\nassert(abs(estimateEuler(18185)-2.723673357162497)\u003c1e-5)\r\nrng(0)\r\nassert(abs(estimateEuler(94960)-2.715290648694187)\u003c1e-5)\r\nrng(0)\r\nassert(abs(estimateEuler(90637)-2.714432295861513)\u003c1e-5)\r\nrng(0)\r\nassert(abs(estimateEuler(3)-2.333333333333333)\u003c0.1e-5)","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":571375,"edited_by":571375,"edited_at":"2022-10-17T21:41:49.000Z","deleted_by":null,"deleted_at":null,"solvers_count":141,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-20T17:22:04.000Z","updated_at":"2026-10-28T12:53:19.000Z","published_at":"2022-10-17T21:41:49.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEuler's number is an irrational constant given by \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ee = 2.7182818...\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eStarting with \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex=0\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, count the number of times you can add a uniformly distributed random number to \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e before it equals or exceeds 1. Repeat this \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e times, then calculate the estimate of Euler's number by computing the mean of those counts.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe more iterations calcualted, the closer the approximation should be.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"333\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"446\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe input to your function should be the number of iterations of the algorithm to perform (N) and the output should be the estimate of Euler's number.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":52799,"title":"Plotting Practice","description":"Plot cos(x) vs x as shown in the figure below. Include the appropriate title, x-label, and y-label. Note, it is case sensitive. Make sure the colors of the axes, markers, and lines are correct. The markers should be square with magenta edges and a cyan face. The plot line should be dashed and red. The axes background should be yellow. The marker size should be 5.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 751.667px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 406.5px 375.833px; transform-origin: 406.5px 375.833px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 383.5px 375.833px; text-align: left; transform-origin: 383.5px 375.833px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003ePlot cos(x) vs x as shown in the figure below. Include the appropriate title, x-label, and y-label. Note, it is case sensitive. Make sure the colors of the axes, markers, and lines are correct. The markers should be square with magenta edges and a cyan face. The plot line should be dashed and red. The axes background should be yellow. The marker size should be 5.\u003c/span\u003e\u003c/span\u003e\u003cimg class=\"imageNode\" width=\"878\" height=\"683\" style=\"vertical-align: baseline;width: 878px;height: 683px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = your_fcn_name(x)\r\n  figure\r\n\r\n  % Do not edit below here\r\n  h = gca;\r\n  y = {h.Title.String;h.XLabel.String;h.YLabel.String;h.Color;h.Children.YData;h.Children.XData;h.Children.Color;h.Children.MarkerFaceColor';h.Children.MarkerEdgeColor;h.Children.MarkerSize};\r\nend","test_suite":"%%\r\nx = 1:100;\r\nfigure\r\nplot(x,cos(x),'sr--','MarkerFaceColor','c','MarkerEdgeColor','m','MarkerSize',5);\r\nxlabel('Time (s)')\r\nylabel('Amplitude (mV)')\r\ntitle('Cosine Signal')\r\nset(gca,'color','y')\r\nh=gca;\r\ny_correct = {h.Title.String;h.XLabel.String;h.YLabel.String;h.Color;h.Children.YData;h.Children.XData;h.Children.Color;h.Children.MarkerFaceColor';h.Children.MarkerEdgeColor;h.Children.MarkerSize}\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":1375684,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":697,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2021-09-26T03:55:24.000Z","updated_at":"2026-10-28T21:49:23.000Z","published_at":"2021-09-26T03:58:09.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ePlot cos(x) vs x as shown in the figure below. Include the appropriate title, x-label, and y-label. Note, it is case sensitive. Make sure the colors of the axes, markers, and lines are correct. The markers should be square with magenta edges and a cyan face. The plot line should be dashed and red. The axes background should be yellow. The marker size should be 5.\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"683\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"878\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA24AAAKrCAYAAACJA97UAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAFiUAABYlAUlSJPAAAP+lSURBVHhe7J0HnBRF9oD/p56ennp6htM79TzTmeOZ9czpzAHFnAMiYlaMgAgqmBHBgCAqqCAIBhRQggHBgIIgIBjISBBFDKjv/77aGbd3t3Z3QndP9857v98nWNXTzMzO9tTXVfXe/4mFhYWFhYWFhYWFhYVFosPEzcLCwsLCwsLCwsLCIuFh4mZhYWFhYWFhYWFhYZHwMHGzsLCwsLCwsLCwsLBIeJi4WVhYWFhYWFhYWFhYJDxM3CwsLCwsLCwsLCwsLBIeJm4WFhYWFhYWFhYWFhYJDxM3CwsLCwsLCwsLCwuLhIeJm4WFhYWFhYWFhYWFRcLDxM3CwsLCwsLCwsLCwiLhYeJmYWFhYWFhYWFhYWGR8DBxs7CwsLCwsLCwsLCwSHiYuFlYWFhYWFhYWFhYWCQ8TNwsLCwsLCwsLCwsLCwSHiZuFhYWFhYWFhYWFhYWCQ8TNwsLCwsLCwsLCwsLi4SHiZuFhYWFhYWFhYWFhUXCw8TNwsLCwsLCwsLCwsIi4WHiZmFhYWFRa/z222+OpUuXOn7++Wf35y+//OLakxA8j19//dU9pyQ9r1wj+9yD7y/QXlsEH5O215uN4M+trtdqYWFhYVERJm4WFhYWFrXGjz/+KF9//bV8+OGHMmLECBk6dKi888478umnn8qSJUsSMeD+/vvv5auvvpJPPvnEPa8ffvghVTLD+zthwgR56623ZNiwYe59/uCDD9xr4v2t/lqQtdmzZ8vEiRPdcfPnz0+lvH377bcyffp0+eijj9zrsbCwsLCoO0zcLCwsLCxqBFL2+eefy5AhQ+TRRx+VW265RW6++WZp37693HHHHXL//fdLz549Zfjw4fLZZ585WSpVMPjv37+/3HfffdKxY0cncIsWLcr0JjOQr1mzZjlZ69Gjh7Rt21auvvpq9z7ffffdjocfflief/55ee+999yxPIZYvHixe98feeQRadmypZNp5C9ts1Z8vl555RX32nk9FhYWFhZ1h4mbhYWFhUWNYLana9eucuSRR8oqq6wif/7zn2WbbbaR008/Xfbbbz/ZfPPNZfXVV3f9Dz30UElnTEaPHi2XXnqpbL/99rLDDjtIly5d3AxWUoPZse+++85Jy9FHHy2bbrqpe39XWmkl2Wmnndx7vNdee8nGG28sf/nLX+TCCy+Ul19+2QkbMXfuXLnrrrvkwAMPlNVWW02uvfZaefvtt+Wnn35y/WkI3gNmFq+77jr5+9//Lh06dMj0WFhYWFjUFiZuFhYWFhZVghk0ZoEOP/xwJ2sIEQPs7t27O9l47rnnpE2bNrL//vvLLrvs4uSjb9++TvZKEUjj66+/Lk888YR73iy9Y/lgUgPBYkkk7+mGG27oBKxZs2Zy5513ylNPPeXe4169esmNN94oe+65p/z3v/918vbuu++618VsKLNw/ByYYWS2asaMGW6vWH3Bktdu3bo52XvmmWdk3rx5JRE+xI2ZwiuvvNLJJ7NuFhYWFhZ1h4mbhYWFhUWVYHkesz6rrrqqm8FikI/MBWPSpElulmSPPfaQddZZRy6++GJ57bXXMr0VSwHZw4RQsO+MvVjMjCEOtGVnj4LBYB6JYNnfl19+6f6NMWPGuMcBbTyu+pJA/i1msCZPnvz7MknaOBf/NuehbeHChTJnzhyZMmWKjB07Vt5//33358yZM717xBAh/j3EkHMHn8sXX3zhzlnI8kTEq3PnznLooYfKH//4R2natKnbN1j9Pfn444+dIP/vf/+TY445Rl599VX3XPk32dc3bdo09xp4frxWXgN9LFvldfIc2QfH80Zm+Rnee++9ctRRR8mWW24pN910k1tmyvEIHK+Lc37zzTeyYMEC18fj+ZnB+PHjXZ/vvWIvJFLJ45ntRCw5H//21KlTXR+JV7Lvl4mbhYWFRf5h4mZhYWFhUSWaN28ua665piy77LJuYM1MGgPzYCAOiNQ555zj5GPttdeW1q1bZ3rFDdQZuD/44INy9tlny8477yxbbbWVm0GiDWGqHsgWEtK7d2+57bbb5IILLpB99tnHPQ5uvfVWJyD828Hg30IUkMdGjRq5ZYNZ8TjjjDPcbBVt7Nd78skn3V4yZAgp5U/2kiFp1YUEkUKemGlkRiz4XNhbhmwhYfkG52V2Deldbrnl3L423uPqM1/IKJLJDNyLL77oZIxj+FkgR5yD2VCeH3vgeA1IGMLG6+Q5nn/++W7GjtlRfq78m8yiMtv3xhtvuPMhU/369XOviyWYLGFEwtnHeN5557nH8HM7+eSTXZ9PVvks8Dx5Tkg//wbn4z275pprZMCAAW6JZ/Y1mrhZWFhY5B8mbhYWFhYWLpAQBODEE0900sa+KwbivmDgjWgx4Gdgnh2c08YMC/KFSB133HFuHxwCceqpp7q/n3TSSXL55Ze7ZX7MiGWD2RlmojiOY9i3xmzUmWeeKYcddpg0btxYrrjiCnnsscfcsdlglueFF16Qgw46yAkDywyRF9p5LYgH/z6SyXNClC666CI348X+Mv4kGQizS9lA+gYNGuQE55RTTnEzXghgkyZNnMAAYolwIIX5BO8ziUVYior08u8jSbwXwVk3BIlZKmSWWUr+zvvOMSyP5Lksv/zyTtAQYaSIWTnElFm1c8891/38LrvsMiewJ5xwgmy00UayxRZbONkLzqLy8/rnP//pnhOyhmzzXt9www1y2mmnOXHbYIMN3DlZoplNRsNzYTaOfY78G0gbx/Bv8vw4F+87P8t27do5mc/O2pm4WVhYWOQXJm4WFhYWFi5Yosg+Kgbvf/rTn1zSCIQi12AwzmwYEsBgn9kkJAFZYqZs1KhRTsyYfWOwzixdjx493AwSjyV75e677+6WaB5wwAFu1ojHISVksDz22GPdnjBEh/1s2WBWikQqzCz9+9//ds+ZxyA8CCLLAv/v//7PzSIeccQRLgMls28IILNuK664ovs3WSJK8FwGDx7sZONvf/ubk7uzzjrLvTcsVWSmDbEkcQjvE9k2ed257DEjECxmtJjFW2ONNWSFFVZwz5G9Z7xenjdLFxEcxCgrbNlgiSaSjCQhfsykMXtGO39fZpll3PNCNJEzlnnympFX3p+tt97ayRdimw2eD3vt1l13XffYf/zjH06qkCv6+DvvEf8e7yGznATPlZ/b8ccf7x7Dn0gpy2S5CYBgIr/8zHkvWaqJoJq4WVhYWOQfJm4WFhYWFi6Y1Rk4cKAbwJNJkgE+g/JcA8HgHAjCeuutJ3/4wx/cTBwykt1jxhI/9sYdcsghTliuuuoqJ0LM4LAU8q9//asTPmbZEAseB8yAkVkRKWDZIPvWspGLuCEziMxLL73kniOSyp4tZqRYRpgVN+QLCWvVqpWbneI5MpPEHj2eP8+TZZjMNDKjhHgxq8dz4py5BDNpLBtkaSHPiUySSM9//vMf2XfffZ0YIXW8TyQQ4T1jli4rbz5x49/nOfJceS1k/iS7JuIHvJdvvvmmmzlEoJi95DVkIyhuyDYzkPxcEEieK58LRHazzTarIm7IJYlhEGvEE1FjtpOZV4ScnwHnYdYN0WUmj9lREzcLCwuL/MPEzcLCwsLCBYN7ZmYQGQbZO+64oxuM5xoIDbNS7GtaeeWV5V//+pc8/fTTmd6KQEBGjhzpltIhdsjCAw884ASA/VU8hhkflj3yWAb3SBg1v1jKCAhSdqkeUZu4IWgIIFKEDLK3DuHI7tHi30TksolYEDf2lTFLRRuzdMDfqbfGe4MgISJ9+vRxSVuYxWMpJuLBEtF8gtk7/v3bb7/dyS6zVbzuvffe28168v8IFkshkR0kCiHyiRvPjfeVZaaIEHv3mLHMRnZPIjOh9COILJfMBudH1OljWSRJT3gvssH7jjSTRTQobsgZPxuSwiDoLJtkZhVJROKY2eS5styUpbcseWWm08TNwsLCIv8wcbOwsLCwcMGsFiLBMkVEhsQXCFGugfAgC8wgsaQRSWA2JhjMaDHov+eee5wUsVwSASHxBvKAeDAjxAwZSxiZISJRCRKHFLL8jpm9YNQmbggFEokgIm5BkSEQIGaaWAaZFTdkCjlDnLLixvuAADJzx9+RLPZxIUcIKv8mbchLPoG8IJG8J8yK8XyRGWY5EVtqubHXEJA5ZtQ4ziduzN6xBJHnRT24bbfd1i1LzAbSx/vHclPec2YJKeGQDSSO94nXi7gHl1ESLLfkmN12262KuBG8DiSZ585MHTNz/Oz5N5BP9jny3iFufLaYCTRxs7CwsMg/TNwsLCwsLFwwA8WyPGQJIWAZIIJVV7AUDmEgKyJiwZ41xI19YSQWYaYqGIgK8sHsF5JAEW8SfXAeZoQQqTvuuMMtIUQyEDkkAAEgYyQC1aJFC3dcNuoSN9p4LcgByw6D4RM3BIQlhMwMkfiDUgf8u8wKspeN2S+eO7Rv394t9URWEKdcl0r6IitvvA8sA2X2jH1oCA0zn8gW9fJ4jj5xY2YLOWMPIbOYiDOSxfvITCZlBfi5MqvGjNqzzz7rljRmg5lVfh7MdiKtSHwwahO37FJJlrnyOKSP2TWkkXPy7/A6mDlk2el2223nZhhN3CwsLCzyDxM3CwsLCwsXzGQhBWQCZCaJWS8yMLLMLru8MBv8P8vkSOKBKFE4muV6LCFkOR1LHpEsBufBQFAQHGQHUWAvHLNV7KPi30cEEBdk4PHHH3d70MhuSDIQ9oCtv/76bu8Zg/9s1CduyAgChkAEwyduzOiRmZHsl8xcbb755m6fHssjg5BJktT4vP5x48a5580yxvqC943lopQZ4BwsL0S4fMH7zswXM1e8V0DJBZ+4kZyE58CsYnYfG7KXnS1kbxlLOpEr6rcxsxiMrLixtxFhRmCDUZu4IdsUCudng+jyb1x//fVO2JmB5f1EEPkZ0o/Q85kycbOwsLDIP0zcLCwsLCxcZJfuMXvCzAwzJCzZQ4yQjWCwx4xBOQNy0sQja0gFUoMssUeO5XHMuASDx5ESngE7S/NYDoickfgDGWDmjoyEzD7RhtQwC4XAUG8tu9SPTIXZCFPckB+kihkixI3XwIwVrz8I+794/ewFQ16QNt6/+oLHshcOmSLTIvKF/PmCnwUyy7H1iRvJQ5Arkpowi7nWWms5gWMGjveG14YoMjvKstTqklmIuPF6EU9m8FjWSmIZzsP5kU6yZ/JceT8pv5DNnsnsn4mbhYWFRf5h4mZhYWFhUSWQADImMqBGyJihITlFVk6QKpbysWSRdPrMmvF3BARZYp8VM24IBMsekS4EhMezBI8Zl1133dWJGwN3ZmeYcUPykBBqh7HPrLoIIV7MPiEI1CrLRpjixiwiM4I8B2aHeG0sh2TWCBkheF4IG3vRECWWhyI6PLa+4H1ARBFelkDyb7AnjIyZSCPnBqSH588STBKW8Pw4ntfpEzf+nyLktLGfj/eeJYvsG2TpJ6+Tpay8/74Z1ELFjXOyn47HkqiFn1s2eA3MunXq1Mm9BuSOnzvLb3msiZuFhYVFfmHiZmFhYWFRJZgxQaIQBSSJFPAkByF9PgN4klyQMIRBPv0k6WBvHMFMFIW12SPGrBsSx/JJEnfweJKfsKyOx2688cYuQQbCw7+JLLHEjyQWzDLxbyFlzFAhAOybYqkfcsa/n40wxS0bpLdnXx0ZKUmuwf8jazwPlnIipLxG3huyS7JcMpiFsa5g1pH9drxG0u+znJH3iaWXvGZgJov3nCWOzMwBs4wc4xM3BI0ZNWSNJa68hwgY52AZK7CMkmWgzHgi4sxmIlBEoeLG+5xNZoMsIrO87zyenznSyGwbhdGZwSRZDPsDTdwsLCws8g8TNwsLCwuLKpGd7UEu2O/GjAozb+xfYlkcf99kk03czM4FF1zgUr+zvJFgVg25QaSYZUHSmJUjaQWDdmSQAT6yxz42lhsy+8O/yXlYpsnySf5N/iTRRjZFPlJG4hP2x5F2PhtRiBtLNtmzR100XjPPh+dAfTT+n5kynh+p7ZEspI39e7kEr5dZN/5t9s9RUJykHRQf55ycn78jOxRBJ8FIr169nAixfNQnbsGsksxkkomS58z/cxzLJnkvOC+zXvwbCBQSyfMpdI8bwk0x9KOOOso9F5ZCsj+QmUj+JKEKIn/CCSe4pZIswUW6TdwsLCws8g8TNwsLCwuLGsEsWDY1PvuqLrnkEldEGclBBhA6koowg5Yd/BMMyFkOyAwcdb9YQslxyAeSx+P4O4lHOC64ZI8ZIJb7MdBneSL/DrM1wOOAzI5ZUcoGyyyRPvbKkSiDDIssCeR8tLHsE0Hg3MFgvxkyxHNBNFj2lw0EFHnp3bu3k0n+bZ5/9jUAssFsIK+/kOB5Dxs2zC0l5PVybmbYqr/HCCWvJ7svjX+P9wBp5L1B6ljeyhJE5IxZUGYJee/vu+8+t0ePnyHvAe890oyoMnvJTCKvk9k6/i1+zggdghgMBI1jeM2IMctlCZ4Loo688Xz5jCCSzEjymlgWywwtYshzZVYVISaY9WNmN7tU1MLCwsKi7jBxs7CwsLCoN7KzYgzYEa7sErv6guMQDvZVIYNBUasrsv8ej0OwmM3K9d8MO/h3+fd5HllJDfu5cD7eV/6NfN9jAvEhaQuzbczUIanV32vOx/vJTB/LVJldYwaT5ZdhBOfnZ8x7xM8u15+1hYWFhUVuYeJmYWFhYVFvMChnII6E5Tsg57HZx+UqI9l/D2EqpbRlg38/6ueSfb2FvMdk82S5IslUKJnADBsJZLLnQgRZzso+vQ4dOri9e+zPY4aM2buwIvsa+LPUPzMLCwuLhhYmbiUMvtgWLFjgltpwh9W+5CwsLCwsCgn2+VEknCWSJDuhqDnLRFlCyWwcSUJYUskxLGFk3yBLM9m3RtZPCwsLC4vkh4lbiQJJY0kJd0TZz0GWsnzvsFpYWFhYWBDZzJzIGXvGGjVq9HtCF2bXSNW/xhpruAyQZMFk3xxZPrlpyAyZhYWFhUXyw8StBMHafzb9s0GbjfannnqqW+ZiX54WFhYWFoVEdjkkM28kPOH7hfpyJBohC2f79u0dlAUYPny4Kxqea/kCCwsLC4tkhIlbjMFeA+5ukqKarGctW7Z0exJIl01tHRM3CwuLso5Zysc5wrEWFhYWaQmGeF8ovuuZjwWKhUW1MHGLMUivPGrUKJey+bLLLnN1h6644goTNwsLCwvifmWHHLlHsbCwsEhLUOryMsV3PfPxgmJhUS1M3GIMCs2yfOWhhx5yy1eobcPSFRM3i6KDu3MMZHPhRaWiHFRp4l3F97x8vK5YlE+0EFmwukjPxvrj1wGOj6dOEZm3hh57dcVDLCwSFXyNU5LOdz3zMUaxKI+gNOLRIpM3EXnwYv3xe65vMPAQkd/+oMd2dY+ysKgSJm4xBgVUKTb61ltvuT1u1NOhgKqJm0XR0bniQv/dyiLz/+qHAfHPf9RjGynfu0eVJlqL/LqMyLer+J8nfPMXdcvl9NimFQ+xKJNQcZuwucguKvd8OfnY8X2RsVvrX0zcyiu4Zs3PkSVKqeIn5eSKa+3C1fTpeK5vwLXaDc47ukdZlENkxK3PcSKrfOu/vsFpPdT/l9W/mLhZeILPiEVMQWFV0i7PmzfP/Z0kJSZuFqGEittPy4vccY3Ikf39nPKUyKid9dgEiNuctXWM3tb/PKFJJ5GJm+mxJm7lFSZuFrXFw8qROaLXupJFRtze37FiAO67vkFb/az/8Cc91sStfMLEzSKE4DNiUYKgHADJSsIQN2buKCtAvR6jPBl36ThZsqLIic/U/BLIssY8kQFHiMzae5YMemGQ9zxxMPmMyfLFP0X2fcP/PGGL8SLv7iLy5ZFfes9hNEymnDQlZ3GbesJU7zmMhskXx3zhZrBeO0jkuRP8vLGvyOI/i3x26mfec8TBqwNelZn7zpRXDhVZe47/MwzH9amYdRvfdLz3PEbDY3DvwTJn9zk5i9vYK8Z6z2PkBuPqGTNm6DvasILPiEUJIkxxI63zGWecIdtuu61RprRer3XO4vbaX16TXbfZ1XueOOi4Tsecxa3XGr285zAaJo+u/WjO4tZtrW7ecxgNk6fWfEo+3F5k51EiK33v54DBIlM2Eun8t87ec8TBTtvsJK+s9krO4tb2H2295zEaHnttvZe8seobOYvbTevf5D2PkRs77LCDvPgim/obVvAZsShBhCluX3zxhZx00klyyinry9NPr2aUIaPOvSxncfty137yTLd13edl//3/JQ88sIb3nFHxUaM2OYvbpIMe8Z7DKA2XX76ubLXVpnLDDX/z9hfLJ0fdnbO4jT/ifu85jGRy4YX/kJ133lhuu20tb399fHroQ2754TYf+z8XsNcIkc821s/Hcbd7zxEHvZ5YS77Yo3fO4jb67Ku85zFWk1tuWVsH4JvKpZeu6+1PG70f/adM3+mlnMVt5IUXe89j1M/VV68jW2yxhbzwQsNLzclnxKIEEYW43Xzz3/T/ql8CjLKg84U5i5s0elbk+5Xc5+XEEzeQzz9fvtqREdP6ppzFTZqyAcR3hFEK+EJkIPXKK6t4+4umRds89rjdWa3HSDIPPriG7LPPRjJy5Ere/nppfm/O4ia3tKzWEyNsNj756ZzFTTqykdd3hDFkyMo6PtpYundfzdufOljre3S/PPa4nV2tJ0bYgDluK5F3dquf0f+peG2+85SI3r3/YuJmEW6YuBmhYuJmxICJm1EoJm5VMXGrHxO3Eorb5xtWDCg2m1g/XLDZYOo7T4kwcbMIPUzcjFAxcTNiIA5xm7uWSKcmIje08cM4dzaXulKL24uHi7S5ITe4K+07Rxlh4lYVE7f6aaji9smWIq1u9l/f4NlGFSVzSipupHXe/W33O+e7pGUZdKAezuCC66HvPCXCxM0ilCD9P6UA5s6dK7Nnz3a13O677z7Zaaed5LnnnnP/P2fOHJk/f75899138uuvv2YeWXckUtwo0jVtvdygwJjvHEbuqLixsuGih0TWm+aHAc/gA/TwjLh16LCmNGnyd/nqK4q7ec4ZFSpu/Nh5Gr7nCUgdiQhM3EKA0WH137naoMCU7xwZ+vVbVQ466F/yxht/9vYXTbvrqn4Q/qGsmOHvmbYsjBp854iLcx+VH1cQmbWO/62Er9fMDMDupHaB5xxlRPfuq8sJJ2wgH3ywore/XlImbkxAbDem6kc2yPkPV2TANHGrnTffXEkOP3xDHR/9xdufOhatKnLOY1U/CGsryymrBNqyPHOi/zxxkBG3hy7y9v7OFXfpf0zcYg1eoUVMMWHCBJWrm+XSSy+Viy++2HHEEUfIlltuKY0aNXL/37RpU7n11lv1Q9dbFixYkHlk3ZFIceOCs/+Q3KD4mO8cRu6ouDFAZAnZkP39DN+7YiCZFbepU5eXceP+JD/8QBVYzzmjQsUNyfxgB//zhJG7VnzHmbiFAHnSfb93Pm6/1n+ODLNnLyfvvruizJvHOh7/MUXBqDv4QXhR2VvZQ3kh05Zl8ib+c8SFittH27oxuvethOvaZbZ+mLjJ9Ol/dNK2aBEm6z+mTlImbtwDGbFX1Y9skI+3ySyHM3GrlQULlpXRo1eUWbOW8/anjqX6OvjBBz8IDyobKCcH2rLMXNd/njgwcUts8AotYoopU6a4GbY2bdpIq1atHDfddJNce+21TuiybZ06dXI1KBYtWpR5ZN2RSHFrf5UbnDPD0+1MP72Pr7hbLWdTZdJzDiN3Xt9P5MxuVdlSWV05MtAGDBQYXPjOEwcvHFX1+ZyhbKT8XWmUacvyxOn+cxi5c/flbmaort9F3M79LvKe+85RKr5TjleOVhZm2pKCituw/4ps+Lm313HYyxXF5k3cQkDFjSXWLCULXiKCMAnr3u9SihuDc9b6Bp/YUcoayhaBtixuGYTnPEbuvL27/8Lmw22Q9ZyjVLyrbKFcF2hLAiZuiQ1eoUXKI6nixl6V/73k7XX884vMflYTt2i4QtlO+TDQlkR+VU5TDlJmZNqM8FBx4+7/EQO8vQ5W5XCD1w0kvUeUCBM3I4uKm6/ZSynFzcdYZSeleaDNCA/WnXqavdSzqiB2TNwiwcTNItFh4mZ4MXEzwMQtGkzc4mXUziLdz6jkAWVbZVela6Yty5jt/OcoFSZu0aLihmdc1V7kjO5++BV0y5aTJm5fK/2U9wNtScDELbHBK7RIeZi4GV5M3AxIs7gtUVoqNylInO+YUmHiVlrmKIcpjZWfMm1JxcQtWlTc2E+48WfeXsfBr2a2jCVN3JKKiVtig1dokfIwcTO8mLgZkGZx+02Zl4HPie+YUmHiVlpM3IwsJm7hY+KW2OAVWqQ8TNwML2kTt38pzZShiu84ozDSLG5JxsSttHyv9FL6Kr9k2pKKiVu0mLiFT0bcyP582/W143LrmLjFGrxCi5SHiZvhpZ3C3qDxgbYkkhW3/8vQVvEdZxSGiVs0qLiN/k9F2v9/f+rnvEdE5q2hh5u4lTeTlOOU2wJtRniYuIXP5xuKnNSr6gXtH8qyytqBNth1pMjQffznKREmbhaJDhM3w8sXykcKd6Z9/UnBxC1aTNyiQcWNWoPckX5nNz8TNhf5mfr2Jm7lDdfgj5XPA21GeJi4hQ/1nMZtVfWC1kH5i9I80AbcwXKZXzznKREmbhaJjqSK23crizx4scjFD/q58VaRSZvq4SZu4YKwdVXGBNqSjIlbtKi4Lf5zRWkp3+8hXH+byKf/1sOTJG4sL3tYmRJoSxI9Tqv6Jp6mrKtsGWjLMuhA/zmM8mC+8qwyItCWBPiSpq4mX9T18fD5mermnvOUGhO3eBigrKHcFWhLKCZuFomORIrbvc1F/ry4KsspyyorBtrgws7+cxiF8aKyppKCi6sjK27LKispHRTfcUZhPHBJ1d834HdxGaX67+IFXfznKAUdlZWV3oG2JINg7q2cpSxWliq+44zygsQp7ym7K1dn2pLCtPVEDhjsaoZzc6c2KOAvK32v8tmo5jmSgIobNbi3Hlv1chbkKB2/z1pHD0+quP2sMDOb5P2aryjrK3xHk/GX727fcQnAxM0i0ZFIcWMqrffxVTlI2VzpGGiD93byn8MojLSK27bKI8qniu84ozAmb1L19w0OUTZTHgi0AUtefOcoBWkVN5LsnKQkbXbFKA3dlXMUZo+TtgoiI25sTzq+d+10uUAPT7i4sZd04CFVL2dBmJFj9V9ixe155TyF7Q2+/iQwU+mv3KBcqSR46a+Jm0WiI5Hi5uMCZU9lcqDNCJ+0ilsSywF8vE3FUqJccGsNPedIEry/fD5Io84MwETFd1wSSKu4sdx3eeVpxXecUV4wy7a1wqybr7+UZMSNmuWe3t+56CH9T5LFrWPTiim1LAcqaygbBNqy9DnOf45SwL7H4Qo1Kkkm9nflNcV3bBKYrTDrRtKz7ZUEb8cwcbNIdJi4GVUwcQuPa+4QWX1Bbtxxjf8cSaKfwuBgBcXELVxM3AwfJm7R8/1KIgtWr2SMsqdyaqAti5t285yjFFylHKBwHU6DuA1UNlb+pJi4lSx4hRYpDxO3iHnuBJHm9+YGazV854gTE7fwaHa/fLmBSNsW/h833N9MXNZGaXlLzccnDRIksI8QuUiTuHFn+jolyTX+TNxKw/sKNSvfDrQlCRO3+GEJ3z4KS1R9/UmhqbKLQsmeNIhbNjkJ1zgTt5IFr9Ai5ZEacWujnK18FWhLA5c84G7ofbKljhF29EOtyp+W18Nb3Vzz8XGTJnGbpzCguVhposxVfMeVChW3UTuLbPmJt9exz9CKkjcmbiETFDdmCldT7lV8xyaBNIob2Rp8FzQfX63vP0cpYMkWe4EWKT0V3m/2kPmOLTUmbvFj4hYNJm6JCF6hRcojNeI2XWFwQ5YtX39SUXEbu7XI0f1EtvnYDxUNZvxdDzdxy4++CklJHlKmKmTW8h1XKkzcSoeJW/SQ4t13QfNx643+c5SCxxUG5iSAMXErHBO30mLiFhkmbhaJjtSIW1pRcct58J40cWMGq5vyuuI7ttRQb24ZpUegLUmYuJUOE7foaXODfLuKyDMnVtQI9/HouZmbUk061Xx8qbhTWVt5WUmTuMH9SlK2C5i4lZa0itt+yj0KWSZ9xyUAEzeLRIeJW8SkWdy4I8adscsV37GlxsQtXkzcoiOl4pYZu/t6HZtNFFcjy8StQILixueXzzGfZ9+xcZP54SPua8+pnavv1MPTIm7UUOS95vpm4hYuVoA7EcErtEh5mLhFjIlbdJi4xYuJW3SYuMWHiVs4ZH740/+hb+VhtTNuKz08LeL2lLKv8lfFxC1cTNwSEbxCi5RHqsTta4VffrLE+fqTiIlbdATFbZbCnrdPFN+xpcDErXSYuEWPiVv0JFncSIernwE5+elK9ldWUrYNtMGZ3URG7uo/T5JopfxZIc1+50xbUkmLuP2ivKmwPPIM5SXFd1yCMHGzSHSkStxI2byFwsXV159ETNyiIyhug5V/KncovmNLgYlb6TBxix4Tt+hJsrj99geRpctVpETO8qqyntIq0Jbl12X850kSjC34HuH7ZGmmLamkRdyWKCcrRyncYEXkfMclCBM3i0RHqsSNNM7PKC2Va5VPFd9xScLELToQh0cUNuvzhcUXV1vFd2wpUHGbu1ZFKT8S8PkYcIS4BA8mbiGTNnH7VumvnK6YuEWLiVt0DFHWVyjf4+tPOojbhkqSaz5mSZO4NVKOUCjh4zsmYZi4WSQ6UrnHLXtX7I1AW1JRcZuwuY7HnhDZe7gfHd+7kkgmbkWQRHG757KqP+hdldWV/8uwqZLte/ws/zmSRFbcNlEuUpJcUzFt4pYFgTBxixYTt+jIitv5ymiFWnm+45KKiVv4mLglKniFFikPE7eIUXH7cYWKfdxTNvJDumxWnJi4FUESxW3eGlV/0COVvZT/y3C7ku1bsLr/HEkiK26tlRlK0urmBTFxix4Tt+hJq7iR3IN9Yh8ovuOSiolb+Ji4JSp4hRYpj9SIG0lJ2NM0X0mTuL30P5FbWlZyhbKxso1yU6Yty9B9/OeIE5a/sU+M/YRpErfPlA4Ky2gfVCjY7juulHynPKHckoHnSp28hYrv+KTAFy8iwfPleY9SfMcliXeV2xSS1Zi4RYOK26JV9SN8ZuUlrDr3NxP5an093MStMF5VuJ5xoyRN4ra/kr3GcTPQd2yS+FKhRh7PlyQa1HLzHZckTNwiw8TNItGRGnG7QNlTYT9TmsStOhSdPFg5VUn65uc0iVuWFgoJbBi4+/qTBPs0GyvTAm1JhJslfOny5ft9pi1NpEncEInNFPa7+fqTRMemOkifKrKisrLyrzq48Vb/OUpBmsQtSJrEjT1u3ARkLyzLqn3HJokRysbKzYG2pBMUt4eUXRVeh+/YUuITt58Ubq7y3VL9+Lj54U8VS6Km/ut3Xum0rRy48YEy6OFB+v96WJZpyo9KioNXbZHyMHGLGRO3aEmTuDGw4T3+IdCWREzc4oOsawy+5gbaksqXG4j0/q/ITsqhyrA6mLyJ/xylwMQtOkzc4iMobuw3HqksUHzHlhKfuDGOO1thSXv14+Pm421EGvcU+e+w3/l6y7dk9EqjZd5W8/T/9bAspysTlBQHr9oi5ZF4cSNN9uPK9QrLAeYoJm7xYOJmwGLlPoW7utwp9R2TZNIkbkmDDbqvHSTy6Ll+2itbKHtk/n/Spv7zJAkTt+gwcYuPJxXeZ8YUvv6kwHcG3x18h7BdgLYPle2UKzL/X0pG7KU/+8/kgx1qXt6CfLStHr6FMkpJcfCqLVIeiRe3XsoKSpdAm4lbPJi4GQ0Blh2upTwQaDNygyLLR/Z3Jbh+/mPt/LJs5iFseKt+jqTwm8I1F3FjP9BAhfIyFFx+VPE9JkmYuEWHT9x+VUjAxJ/BY43iSaC4kRvO0/s77a7T/5i4WSQhTNxixsQtWkzcjOqwh/A5JQ11H5NGRtxG7ipy1uMipzzl56GLMg9JsriRcIJ9pTcqfRQSfnyhMOtGciPfY5KEiVt0+MSNzJKnKW8G2oxwMHErWfBaLFIeJm5F8um/RV45NDcmbmbiFiZsbuauOQOwbJuJm5E22O8xTEni/pSMuD3bSGSl771HOM7slvlLksWN9xmJoGi/rz/ppEHc+M5AdpDhtIvbY8qyCksSg8caxWPiVrLgtVikPEzciqT1TSJ/m50bt95o4hYmDA7WVajVlW0zcTPSBkv3SDJAcgFffylpSOLG9ZbkCNl9NmkjDeLGfqavFfbFmrgZtWHiVrLgtVikPFIpbm8pJCq5QaEocPD4uLnmDpmtb919l7q/eqGWEcfItbdXfKHxnKlLl/S18ySCITEMy198/aWGun7LKD0CbSZu8cASM4SDGU9fv5E71LvaSBkeaEsK+Yrb/1TcuFZ/E+w1QoEi3CR4YObQ1580mEFGerjRynf1R4rvuCRg4hYvJm4lC16LRcojleIGDBz3VUgpG2yPGzWzcVuJ/Ge0t9exs/6if7Kl/gVx8x6RAJBIUgrzvv6SaUs6aRM37vizz4Y9VyRKmP4PkbFb58bXa/rPWSoo0E69MQZkvv5SQwkDim8vCrQllYYkbv+n4kbx5aTXJkwLlIdA1Eip7utPA2QUXEkp9U3WuvhAOUwJpqc3cYsOE7eSBa/FIuVh4lYkDUXcflTYuN9cWZhpSzppEzeWaVF7B9lBjllmu9N7ufEEBWT0MUkh6eLGIHEvJamzxUFM3IzaYHnkiQq1unz9aSAN4sby2bFKcL+0iVt0mLiVLHgtFimP1Iobd9TvV54KtJWChiJu3NFlgHC4wh4F3zFJwydupH6/TUHsg8cmAe6eB/c3nvuom3R7/KyKpbY+XjhKfzQr6sPvvLrm+UpJ0sWNO+crK8H9j0mlurgh9SxBfUEp9UyLiVtpuVrZWmGZpK8/DaRB3HykSdz4fPB8vwy0JZkEihv54y69r3YGHaiHm7hZJCFSK25JwcStdPjELcl4xG3oPiIbfu492nHYyyJz1ta/lFLcWNbJ3kzg77SZuIVHdXEjwcPJCku32Gda/fg4yYhbv6NF1p0pstpCP006ZR9i4hYqaRW3H/4ksnC1Cu5WVlS6Zf6/Ou7OlOccpSap4kZtOfaQskom28aef2oTvhZoSwq+748kids7u4ns8EHVC9pKyv/x50/6/3pYll0UPTTNwau2SHmYuBWJiVvpMHGLB5YR3arcoWQHCyZu4ZECcZvxd5EBR4gTOB8f7JB9iIlbqKRV3HqcJnJ0vwq2U5ZVds78f3UeO8d/jlKTVHF7R2msvBRoS7K4cT3ju4PvkG8zbUkSN65xTKcFL2jNlGWOFbl8qP6/HpZliKI+l+bgVVukPEzcisTErXSYuEUPiREou9BMaa+kWdzIaseet6QlLEmyuH23skjbFiLH9cmNDfZNl7jxPPsqJA3y9ZeatIrbDW3cR4frW5/j/AzZX+Sbv+jhV9xV8/FJIKniRvH4VZRgIpUkixtji0bKEQr7vGlLkrj5cD/7ZXVs0UP/v2EFr9Ai5WHiViQmbqXDxC16GByspzyv/JBpgzSKG4PgPRWyTQaPLTVJFrff/lCx7I1ReC6csly6xO055a8KZU98/aUmxeI2eRP9KAzRX8Pv/OzxlsjH2+jhJm75YeIWPSZuFvPmzZNx48bJyy+/LM8995xjyJAhMnHiRPn1118zR+UWM2fOlFGjRsmAAQPk2WeflWeeeUb69+8v77zzjsyZM0d++OGHzJG5ReLFjTv+bG5O2mAri4obM+1s3u/Y1A99C1bXw03cwsXELXruVhjYUncw2J5UcZutUF/uRoWbPZ8p2T4ypu6okD0u+JhSk2Rxy5czlaSKG+VOSFzETYhsG7PJyysPB9qSRJrE7QmFOnPUb1Nxm7iZyO5ve490bP+hyJjt9C8mbvlh4hY9Jm7lGz///LMsWrRIRo4cKU888YTccccd0rJlS7nlllukffv2TuCmTJki3377beYRtQdCNmPGDCd8nTt3lrZt20rr1q2lTZs2cvvtt8sjjzwigwYNks8//1x++ukn+e233zKPrDsSL25J54FLRHZ5t5KdlNUz8PdgH8eysfhThQFldqNuEvCJ2/cKg9ykZqoycYuetInbBGUXhbIL1fvSIm5cIxDPsxSWds5Uqj8mqbRUTlNeVYKp1ZPA+8o2CjKUbUuquJF8gtpilDdhPxOfa9rJODopQ9LqbWalHUE2cYuOhiBuExW+B+/J/H/SMHEr35g/f76TNuTqoosucvLGTFm/fv2kVatWctVVV7k/P/xQr2D1BELWqVMnadGihVx99dX6eeohb7zxhrz//vvy4osvyt133y2nnXaam4GbPXu2k8ZcwsStSOaupV+qm1cyWjlAOTDz92Afx87Vx5yrXKUk6YvXJ24MFo5R+FKofnwSMHGLHhO36KkubtzQQXoodbKrwiCi+mOSCpJJ2neWpHbOtCWFNIkbn4U9FK69U5XsMmWSO1yssOeUG2vVH1dKTNzioSGIG3ul+VwndUWBiVt5BjNe48ePl9tuu83NsD3wwANOsqZOnSqTJ0+W1157Te666y4nTc8//7x8/fXX8ssvv2QeXTM++OADOeuss+SKK65ws2ucixm4BQsWuFm7Pn36yJlnnunkjmO///77zCPrDhO3kOFOKbJzrOJLgsDAJjh4r95fKnzixnOlVh4DS+6MsWy1+uNKSZrEjUxgLNNiJoV9m78qKm5T/yVyxzUiLdr6ocYbW4dM3HKkIYhblpeVtRWWfgbbSw1SiZQNDbQFYZaQfZFtAm1JIE3i9ori+9kvVI5WjlPI9hrsKzVpFTd+z/gO4b0Ntpu4hYNP3JKOiVt5BjNegwcPlgMPPFDuuecemTBhQpX9Z0ga8nbooYfKfffd52bd6tqfNmLECNl7773lxhtvdHvcgssrkcQxY8bIdddd587FeVmimUukXty468hAgouDrz9u6hM37jCxf+UchS+4pNw19YlbFgbvayjVB++lpjZxQ4h5Dfwsgu2l5HZlHYUlZNk2Bix/n1HJ2sryykqBtiydmlQ9X1yYuEVP2sSNmxB1/exN3IrHxC0+zlf2UoL7YYHPxvpKcE9kEvCJG39nzxjPlT2GweNLjYlbooJXaOEJEo589dVXbmnknnvuKd26dZPvvvuuSiISZAsBu/TSS92+N5Y41iVbLLk8+uijpXnz5u5YZugIzrNkyRIZOnSonH766W5m77333iufGbeBCjNYgwNtpaQ+cWOJAHsX2MTN8+YLuvoxpaAhiRt78hi4M1sYbC8lPnEj1Sj1Y7I8oWyt/C/QluWLf1Y9X1yYuEWPiVs8mLhFS0MTN24IM65giXuwvdT4xI1yFpS1OE9h9o0VHcHHlBITt0QFr9DCE0uXLpWxY8e6ZYsHHHCAW8boC2bhmI1jFg3hYtljbUEGSpZdXnnlle74vn37yptvvinvvvuuDBw4ULp06eKkjn9r2rRpLkFJLpF6cWPwznKGpCyXYwaNZYX3KnXNArL8YjmFC4SvP27SKG7DlDOUtwJtMF6pbfBeKnziVp0pCgMIBhK+/lJg4hY9DMTIrkbSomC7iVu4+MSN10ISGAa73ATMFgguNQ1A3GatI9LqZpHTn/Cjh8iXG+hDkypuScUnboBoHqSQHChp++dTJm5f9vijvLD66jKtVy/9/4YVvEILT/z8889OqDp27Cgnn3yyvPLKK5meqsGsHALGjNudd97pygbUFszYIXokOjnooIPkqKOOcnvamLE79thj5dxzz3UJSyZNmpR5RG5h4hYBJBeoL2OkiVvx8B5zZ7H6e23iFh4mbtGT/RxXbzdxCxefuGXfe37n9laSMnhvAOJG06/L1I17qIlbfpi4RU6f3qvKlptvLv1feEH/v2EFr9DCE1lxe/DBB+Xss892e858gbiRYZLkJZQKqEvcvvnmG7cPjhIAhx9+uMsg2aRJEydu7JNjGSUCSD23H3/8Me9yAIccsqFce+06VRgx4s96RM0PdaJIorjlgolbdJi4hUdt4kZ2VPZTMBgOtpeaNIpbbaRV3LKZJT8KtCUBn7hlSdrgPe3i9v6OFZmVsnRRdla2Uzpm2rKM2tl/vrgwcYuWBItbnz6r1hj3QuPG68sWW2whL5i4lU8gbuxfQ9xOOeUUt5TRF19++aX07t3biVtdM26IGJkje/bs6WbcKCNAHThm9ODyyy93M26I3NNPP+1m3XhMLpEVt7322khOP329Krzyyip6RM0Pe6yQzIPsZVyUfP0mbuHA3rtWynVK9aQeJm7Fw16a45XRgbbqpEnckgr7G5soLFWu3mfiFg71iVtSSZO4vauwT5oMtMH2tIhb9T62EJRy8P6tjmUQxNf3q8nhyjbKk5n/f3t3fZ9X858nCZi4hUbXrqvXGPfCoYduaOJWbsEeN2bH7r33Xtl3332dnPmC0gAsb0TcqMNG3bfqwcwZddn4ADGr1qFDB5dBctasWbJw4UK3Lw4B7N+/v5M3JO7hhx+WbPKS+iIrblddtY7MnLlcFRYvzq5lKCH9lY0Vahr5+k3cwoElQ1xUmW2rvmzLxK142DvDF2u2HpMPE7fioXj1bMWXWc3ELRxM3KKH6wTXi+p77kzcCmPs1io1r4ms/1VN/qysoKyb+X8yqryzm/88ScDELTS++WbZGuNeeOyx1U3cyi3IHkmCELJK7rrrrvL444+rBC2uklWSIIEJCUeYReNYlkNWDx7zySefuMyUzN4xo8ZxyGE2mOGjZhwJTi6++GK55pprZPr06ZneuiPxe9y447iC0iXQFsTELXpM3OKBQVk35cVAW6kgkxoDAzIedlAmKb7j0kTaxA2J4HcPUfL1l4o0ittLyk1Ka8WXgTgty+VM3AqDpZvbfCwj9hK58dbaGXyAHr7h5yJD96l5jqRQm7gh+dzg7qdU3/ddSuoStzcV6ptWT8xUYnr3/ouJW7kFs2TUZGOJ5H777edqq3322We/L1+kn6yPw4cPl/POO8/Ntr3++usuhT/t1GhjJi0reyy7JGtk06ZNXaITpK36HraZM2fKyy+/7Pa8XXjhhW4WLpcwcSsRJm7RkVZxKxW//UFFbR2Vs00r6a9soZwVaMvyzV/850k6aRO3pJJGccv+7D8OtAUxcSueFIhb+6u8vb9zcyv9T9LFjX3S2yuMIXz9SYPZ42bKBQqf32DfXQpjiyTcrAxg4lamgXB99NFHLnU/SUOYMZs7d64TLsQLYerevbvLEMlySZY+0s7ySZKZPPXUU/LWW2+587BnjWNZKvnoo4+68zDLlo3srBwJTq644gpp166dO18uYeJWIkzcosPELT9+Wr7idjNLhLJsq/xZWTfQluX5Y/3nSTombuFg4lY6TNwKoyGJ23yFPZBJqy9XG2y9mKiQOGpppi2LiVvswSu0qCPmzJkjgwcPdnvd2MeGjL344otu1ozlkyQkue666+Ttt992M21IHdkomYFr1qyZkz3aSFoybNgwufbaa91jOM+AAQNk0KBB8sYbb7j9bexro//+++934ldXMe9gmLiVCBO36DBxy48f/iRyUi9XU4kkbw9d5Oe1g/R7dzl9SKcmNc+RBp5RWJZTW6IjIzcaorjx/dFeIVuqrz8pmLgVRiHihmgw7mgIy8STiolb7MErtKgjkK5ffvnFyRqFs4888kg3a3bqqafKcccd52SOmTKSjGQDGSPBCCn+mTnLBolLKLjdqlUrOeaYY+SEE06QM844wy2LPOKII+T444+X66+/3i2/ZMkls3C5RCrFjdHjkhUr6KIsq3TN/H91fv5j1fNFDWvLf8rg689i4lY4vMdkwaztPTZxy4+MuL14uMiaX3uPcDR6VsdfK+lf0ipuSYWEKiwn8tVySxo81+HK1gr7H33HJJGrlN2VcYG2NJJkcTtPOVSZFmjLkkZx47uZm8JpWZKYRpImbpmxRe+nTdzKOpC3GTNmyAcffCBDhw51M2TMniFYJCdhZiy47JEMktljSTiSDWbkyBQ5btw491jOMWLECLecknPyd5ZmsowSWeTfzSVSKW7PnVAxioSdlT8ou2T+vzqPnlv1fFHDFxRZ4Lh7y6Zc3zFg4lY43BVn0PhgoC2IiVt+mLiVFmYC+azyufX1J4lHlAsVVjqkacnph8ogpXqpk7SRZHEbpVC6h+/A6n0mboaPpIlbZmzR+wATN4tMMAvGPjYkLNcZMV9kZ/IQPhKe5CNq1SOV4tbqZjeZRrmVAUf4eWNf/Y6jFEvTjpWPiwMGBsco1OBZlGnz8YbCF/BrgbakQpaqkxW+mH39cfOFsq9ydqAtiIlbfhQibqTb5zOcsGxgqYSbEBspzGT5+pMENfJ2U9iz4usHSoqQuXFyoM0Ih8XKrQpLfusqLZI0TNwMH0kTN8YW+6i4/cXEzaJaFCpZ1YPzFHuutIrbV+uLHKW/U2vM80MOBa7ViRU3lvrxBcafvv4kwQCBDdH1Lf+MCxO3cClE3JB43uM2wSOMgmho4sbroF4aM/W+fqNwWMpF2ndIUsr3+jBxM3yYuMUevFKLlEdaxe2Lf+rY/Y0qR1Zhi/Ei7+6if0mquCWJt5VrFJYT+fqTRhrFbYhys5LEGapCxI3PTBITVMxR7lF6B9qSTlDcKPx7+d25QSaZH1fwnzMq+Bz3VHwFzrNwzHqKSX3hkBiDunOvB9rSTELE7b2dRO6+vHZYxWPiFiMUxadOaAuFGqbsofUdFxcmbhZpCBO3kEmjuHVWVlTYa+PrTxr1idtU5TSlbaCt1NyurKNQg8fXD8xoksHMl5UtShqSuDHgTdtsa1DcHj7fldXj+vbh9n4+3kYvM5TSO763yHcr1zxfqTFxK55XlLUV9kv7+tNGqcVtwuYiJzwnsv2H9fO/l8QZXtrEDemhnAXfj2majeXzcLhyolJXXoA4MHGzSEOYuIWMiVv01CduLO1EgKYH2kpNLuJGNrazlFaBtjgwcSst1cSNRLjX3i6y3Rg/e42o2MNr4taAMXELFzbFf/pvkTHb1c/4LSp+r9ImbiTWIHHQ9UoaMtRmMXGLNXilFikPE7eQMXGLnvrELYnkIm5TFIoAUwzY1x8VGXFjvMIejys7+Ol+Rqa6BuLGz6CdgnTwu/ml4jt33DQAcaMe+slPe490rLZQpN/R+hcTt4aLiVvpSZq4sR+eRGEvKL795tSnPEhhtckvmbZSM0a5VwnuieWuU4crK2mtbKFsp9yeacvy5p5Vzxc1Jm4WaQgTt5AxcYseE7dwYZ/UeY9UTLdlWU1ZTlkx0JaFvVXZxzI4Z5DOYD14zlJRn7gtVUipTnY+X38pMHErPaTW59qdlAFvQxM3ZlLOUU5R6tofmSSSJm7BUhAkp6nen0Rxe0hhbPFsoO2Ku1wpXrJ+f72mH5aC/7KsHn7jrZWPiwMTN4s0hIlbyJi4RY+JW7j8uozIBzuIWyuZ5QFlI+WYQFsWfvmyj02buLEH5GKFQZmvvxSYuJWe+5WrlZmBtlLS0MQNkSARBdlok5KduD5M3IqnFnGbspHIJQ+IHP6in6va68v5ux5u4hZ68EotUh6JFzf20pyqUBco26bixl0Z/YMVXl702iCTN9HD4xQ39lVxkb9MIVNSqddr54qJW/QkWdx8sMRle+XyQJuPtIkbg8etFQbpvv5SYOIWPR8o/O5xY83Xz+8cv3uIva8/btIobiMVajuyLNLXnzZ4LY2V9gqFxUtdN68BiRtJltivG2itwh5v6XBqU/2LiVvowSu1SHkkXty4AHHBDF6I1NjIvMYAh+05Plj9xURCrOLWSeHLllTkpU5rmw8mbtFj4hYPJm6lJ4nidqVC/blxgbYgJm7Fc55yqEKSJV9/2mDMwZLq0xX25s1SfMfFhYlb9Ji4WaQhEi9uPqjJ0uWC3IhzcyvLbf6i9A201QZ3Jy9S3gy0lYr6xG2QwgD+o0BbKTFxix4Tt/gwcYue5sqOyseBtiBpEzdmEJspzAr5+kvBmcr+StzlTKIEAWLFz8FKqZfRmrhFj4mbRRoileKWVPIRN5ZULqckYa9NfeJ2t7KGMiDQVkoaqrjxxdtEQZZYIvy14jsuDkzc4qOauJG585aWInu+6eeQgXro3vrQUogbYsMNnLqWgZu4FU994tZHWVnpGGgrNWkTN66vXGdnB9qqY+JWHCZuiQteqUXKw8QtREzc4qGhihvLa6k994CyhfKi4jsuDkzc4qOauLEMfLZejtmj64ON/Yv/rA8thbjdrJygUOTe1w8mbsVj4hY9XF+3VOraImDiVhwmbokLXqlFyqNBiNtvCrLUQ/Fd0OLCxC0echW30Qq1xhjM+/rjJBdxy/KwsrzSM9AWN2kUN54DxcuRi9qkN+ni9t5OFcX0guyurK2cH2iDno0rNvr6zhkVzAizVyxYl6k6Jm7FY+IWPVxfyVjN9dbXDxSyZs96d6WUYwswcYseEzeLNESDEDcuUlysuGhx8fIdEwfdFAaFuQzOTdwKh1mpk5SrAm0+GNQwuGGQ4+uPExO36GmhbK68G2irThLFjd+vvRVSpfv6ea48Z567rz9OTNyihZuQLOFjoLudEiyDE8TErXhyEbck0YDE7ZMtRQ59ReSfX/g5ro/I5xvq4XGLG2OLE1XcNjJxs0hwmLiFCL/0I5Rc9iaZuBUOWUY/VOqbSTNxKxwTt/j4XCFZUW2p6k3ciict4kaB+NYKGRqZNa5NgkzcisfELXpqETdWeI/+j8gb+/qhrOiSFfXwuMUtM7bofZuJm0WCw8StRJi4RY+JW+HkKm58Jki1Pj7QVirSKm71kTZx47PAZyIJ14svFZbQ36i0VGpLVZ8UcaM49ckKafXnZNp8pFXc6HtKqa0sQ5yYuEWPT9x6nSRyzmO58fyxVc8XE717m7hZJDgSLW6sLwdfXxATt+Lgi4tBQPDiGsTErXjYq/IP5bVAW22kSdySxPUKyQZqW3IIJm7FkYu4JYkXlNWUewNtPpIkbiTD+J/SEMWN7xC+S/hO8fXHiYlb9PjELQWYuFkkOhIrblyY2itk2GP5iO+YLCZuxTFJ4UuMjbm+fhO34uEOM5vcc8lMZuJWGCyf7a/MC7RVx8StOEzcooUblSy3Z7kpy7Z8x4CJW/GYuEWPiVvigldokfJIrLjNVbjrSBKKHzNttWHiFi0MEo5SuAgzoE/Kl0J9JEnc8uFlhc9+KYvrplHcciGN4sbA8gJlcqCtVJi4JYMkiRvfuSwB51rB7xXf3b7jwMStMFjyy00pfv/InOuro8gNq+sUluXnslIpDnIRN8rgUFCe+pAJed4mbhaJDhO3EpEmcVuskAjkRIUBTl3Fd5NEWsXte2WWUsr32cQtOSxSuB4ywPH1x4mJWzJIkrg9p6yrIEDzlbpu7Jm4FcajymYKz3mBQvbR6sfwvvP+MzNXva9U5CJuvB7Gb9ycqmuWOUZM3CwSHSZuJSJN4gbczTtCaaQgFr5jkkZaxS0JsL+mqzI40NYQSKO4JYkki9vctUQevFjkunaVHK+soBwYaINbbxT59N+VjzVxKxxqnP2fQjkcX38QE7fCeE+5R2Fbg68/qTCT1kGpKwM0Y4vDFW4MJ+SmsImbRaLDxK1EmLhFj4mbUZ1PFJb9sn/W12/UTZLFbcLmIruOlAWr6495y9qZzVfd2nNEXj6s8rEUbec7JC2p7E3cCoc98yw9RNiolceMoe+4LJT54fj69tobhWHiFmvwCi1SHiZuJcLELXpM3Izq8Nkdq6RlgJ40UiBuzzYS2XlU7dx3qR5eXdyopcesQH3fNUnBxK1wWJp3qXKR8rbCWMN3HLDn6iblEiWX+qxG/pi4xRq8QouUh4lbiLC5lrt4UwJttVEKcRt8gMgDl+TGh9tXfWySxI2MWs8r9S3jG6Y0U9opLylpGZQZ5QHXKga9dZUvSBopELeOTb29v3P1nfqf6uKWNpIkbtRNRGwoIu/rD5IEcWMZ+GFKYyWXsQXlGQ5WcskIbORPksQtM7bofbGJm0WCw8QtRO5X/qL0DbTVBsWu/6pQHNbXHwVnPS5LlxP5bmWRRav6+X4lkd/+oIffdUXVx7LpmQvrGUqpL66ULdhXOTvQVhvfKaRPJo1ykjZtNxT43eQ9tmVE+cONhQ0VCkP7+pNILuLGZ4HPRNw3SspJ3MgwmE0I4utPKiZuRnWSJG6MLfZRcfuLiZtFgsPELUTyETeWavVTaqudFgUqbmO3Fjn/YZFjn/fT5oYKgashbhSGZVkJd1d5v4N9cWPilhzYH3Ke8nGgzciNhipufBb4TNS3dyhsyknc+J5D3nJZ3ZEkTNyM6pi4xRq8UouUh4lbiOQjbqVAxe31/UQ2+NLb6zj8RZGv19S/VBe3JJFGcSMb2CsKgwZff1ppo6ynUDDY1x8nJB5h+Sx7WHz9SSON4tZZuUap6zrLZ4HPBJ8NX39UNARxY0/VaIWbZHHPWMZBEsTtG6W1QrbD+kpsmLhFj4lbrMErtUh5mLiFiIlbPKRR3EjlvKmSBMEJkySJGwL0H4XU2b7+pJFGcaPOEnUd6yqUa+JWOKxsOEfhmsV3oO+YNJMEcaMGGvu0c5EEE7foMXGLNXilFimPBiFuXIhfVVh6yKDCd0wcmLjFQ13i1v9IkWb3V3KhsrGykXJBpi1L32NqPj4qblfWUfic+vqDvKVcplBzzNefJJIkbi2UzRWW8/r6k0au4sb1pK2SlkyY0xRqAN6iMLMxVfEdFzYNRdxOVg5VGtrsPCRB3PIhjeJGsiOyZuaSLCYJmLjFGrxSi5RHgxC3pGDiFg91iVuLtvLDnyrqNY3a2Q99S1bUw90IznOOKMhH3Eg4sLxCgVhff9QgCOOUXLKHmrgVTq7iRrFwioanQeSD3KBsprDsz9cfNhlxK6gcQFIwcUsWSRG32QrFrHNZNULCs2UVbp74+uOEcRwrIEhu5usHE7dYg1dqkfIwcQsRE7d4qEfcpmykH5teIlt+4ueE50QmbaqHm7j5uVM5VqGula8/iIlb4Zi4hUtG3AoqwJ0UTNySRVLEDRnbVcnlOpskceul7KAMDLRVx8Qt1uCVWqQ8TNxCxMQtHuoRt/FbiOzybo2e39npPXHZNU3cauFKZTvlw0BbbaRV3DjmAaWUWflyFTdqEF6v3KbUV7swScQtbnPXErdO8trb66f1TSKf/rvq41ni2UUZEWiLm7rE7b2d9DpybW4MOCJT16XaOUrNeKWVUsr3OB+SIm73KaspbAfx9QdJkrg9pKyoPBtoq46JW6zBK7VIeSRW3Phl5oJ5ocKXme+YpJECcXtrD5H/jBZZd6af03qIzP+rHm7iFi4mbtGTj7gxq7i28nKgLW7ySU4yVtlRaR5oSzpxi5sPkqmwzCyXvc/IxMYKe/N8/XFQl7jd21x+XUbcjOLMdf3MWVvkxxX0cC7kHBx8fFQw2EZqSj3ojgITt+IwcUtc8EotUh6JFTe+wFga9JFSVwazJJECcUPKhv1X/eFgPx/sIPLzH/VwE7dwMXGLHhO3ZJEEcXtHYdlvLtfkFIjbdyvr02upHvGqn5Of1q/NHfXwOMVtkILYvBZoayiYuBWHiVvigldqkfJIrLilkXzE7XPlaeWzQFvUdL5Qv4SerOQoZS1lk0Bblur7P1iu+oYyXFmaaSsVJm7RYuIWDyZu0fOCwoD33kBbbaRA3BauJnJ0vyqtVfj7DPWng/QvcYpbd+X/lG6BtoaCiVthfKvwXUc23LOUujJcUrKnvcL4qdSrq0zcLNIQJm4hko+4PaWsoDweaIsavsh/WbaST5XdlfMDbVmq74/grthRCnsOc8k2GCUmbtFi4hYPJm7RY+IWPSZu0ZM2cZuk7KlcpPAeUrLJd1wWVlUlYWWViZtFGsLELUTyEbcnleWUxwJtccPFdQ+FfYS+/iCI2xFKI6WU4tZfaaKQlYzZv+r9Jm7FY+IWD2kUtycUfubsG/P1BzFxyx8Tt+hZpPD90Vmpb/WIiVthTFR2VxA3X39SMXGzSEM0KHFboLCnoVSFak3cooeCvv9UWLbp61dx++Kf+pI66/V3qJ/zHxaZ+i893MTNj4lbPKRR3LhpspvCwMzXH8TELX9M3KKH9/UwpbFSX8ZqZoFuVbgm8h3oOyYOTNziwcTNIg3RoMSNL95dlE6BtjgxcYueHMSN5Cqz1tHPtgqcD7KvuQQsJm5+TNziwcQtekzcoqchixt8rfAYZt98/XFg4hYPJm4W2Vi4cKFMmjRJ3njjDXn55Zcdb731lkydOlV+/fXXzFG5xZIlS2TmzJnyzjvvyKuvvioDBgyQgQMHyujRo2Xu3Lnyww8/ZI7MLRqUuJHV6u9Ku0BbnIxS7lA+DbTVholbYbA8ki8xLrC+/iH7i7S6uZIblC2UzZUWmbYsgw70nyNMpivUC2MweJeSS90wE7fCSJu4fanwWUbgfP1BTNwKw8Qtehq6uCUBE7d4+EbRz3HvM0zcyjZ++eUXJ1pjxoyRZ555Rtq2bSvXX3+9tGjRQjp06CD9+/eX2bNn5yRbCN7PP//sZG/w4MFy7733yk033SRXX321O+cDDzwgQ4cOlWnTpsnSpUvlt99+yzyy7jBxKxEMKBjUPKjMUEqRqTGN4pYvZKw6TjlaWZhpixNkfkvl2kBbfaRJ3Pj8sgm9lIPzLGkTt3xIo7hxo+JA5YNAW9w0MHFbtKperjvr0/zMz+5vi7y5px6eVHHju4OMygyQff1xYOIWPWkVtwy9e5u4lW0sWLBA3n//fSdpzZs3l8cff1z69Okjzz77rNx6661yww03uL6xY8dmHlF7IIBffvmldOnSRS6++GK56667pHv37u5cjzzyiNxyyy1y8sknO0GcM2eOk7dcwsStRMxV3lIYiDVVSrHx2cQtehq6uE1TRiulHIhlMXGLnnzEjVlxanGSGtzXHwcNTNyWLicu+RJy5mPUznqZW00PT6q48Z2HNPUKtMWNiVv0mLglNniFFrUEM14TJ06Uu+++282M3XnnnW55I23jx493H4h27drJKaec4mbekDxm6GqL6dOnS8+ePaVVq1Zy3XXXuSWSH3zwgXz66acyatQo6dGjh5x//vny5JNPypQpU+THH3/MPLLuSKy4/aC8ogxWcl1bniZxy3KOso/CXUhff5TwBcbeKy70vv4gJm6Fwc+VgWCfQFt9pEncksTzys1KLr9LJm6FkY+4JYG0iRsrLx5RGKhXF97BB4hc0KUqWyprKY0CbfDYOTVLukRFPuI2QFlDIaujrz8O0iRuJFzjukaCFH73xyi+44KYuBWNiVuZBksb2dN20EEHudmxcePGuVmzbDAjxh61Aw880C1zpL822UIC33vvPTn99NPdTB1LJdk3Rzv/Dn8idnzIWC45YcKEnPe6JVbcmJH6n0LdsFwvriZu0WHiFh/se1xFeTbQFidpFbd8SJu4jVN2VfjZ+PrjwsQtWbBag4Rc4wNtcWPiFh3csNlJuTTQVh9PKysp/Fx8/XFQiLiRwZOfRymTwGQwcSvDQKZmzJghTz31lOy1117StWtX+eabb6rMqCFbI0eOlCZNmkjr1q3dEspvv/0201sZHLdo0SJ55ZVX5JBDDpEHH3zQnXvx4sUuGQkzbkjbrFmz3P42lklyfF2zd8EwcSsxJm7RkkZxI4EJ0kbyCl9/1Ji4JQ+WopKRtJT7xcDELVmYuOVPQxc3lig/o0wNtMVNIeLGPunTlUGBthJh4laGwWwaM2idOnWS/fbbTz8EvTM9VYMlk+xxY69bx44d3XLJ6oG4IWS9evVy4ta5c2cnW2SRJJske9yQvkGDBrm9cvPnz888MrfIitv55/9Dhg79cxWmTSNnes0PdSyYuCULE7fygaVaDAhzyYCZVtImbqVmljJQuUa5XCFbqu+4pGHiFj0mbtGBhCFtFAv39ScVrg9XKGRU9vX7QDZXVB4KtEXMxIkr1Bj3wm23rWXiVm6BuCFWyBhSRPp/X5Bs5LnnnpOWLVtK+/btZd68eZmeymD2Dgns1q2bnHnmmW6vHDN5l1xyidvTdvnll0ujRo2kcePGbu8b++iQvVwjK27bbLOp7LbbxlV4+ml2Odf8sMeCiVuyMHErH3jP2FtRikyncWHilh8I0AYKAzF+jxKwnCknTNyix8QtOrgGcy3mmuzrTypcH7hO5PO8SyBu7dqtVWPcCzvssImJW7kFafvfffddt6zxrLPOktdeey3TUzW++uor6du3rxO3O+64o1Zxo5wA2STJGnnllVe6mTyyR7700ktuvxuzbogfYkeGSWbegvvp6oqsuJ100vrStevqVRg37k96RM0PeyyYuCULEzejIUEmTAr1l3I5UZpg6S77ZnjPfP1JJR9xY5bgUYXMh77+JGLilj+FiBtL/yiU/3qgzQiXEojbm2+uVGPcC5ddtq6JW7lFUNxIKEISEl8gbixzJJV/XeL24YcfunMdfvjh0rRpU3niiSfcXjaC2bWffvpJ3n77bbngggtcBktEzrfs0he2xy1EvlZIIrAo0FYfJm75wZfuBGVxoK0uTNyMpMJnmM/y7EBbUkmruL2hUGfwyUBbQyIJ4tZf2VZBkn39QdIqbuwvXVchC7OvPwzIAvrlBiIfbZsb89bwnyetlEDcqsB1ODO2sD1uZRgslSRV/3333ScHHHCAkzNfUEyb9P2IG5knffvTEDdm0Mg8udtuu7mZNZZYBjNQIm+ci+WUbdq0cf9uVuzqCxO3ECF9+15KPnflTNzyg1T5fOkyY+Lrr46Jm5FUqHHGNS4N+1fSKm4kdflY4fvE1592kiBu8xUSGfGnrz+IiVvtUKTvunYi23+YG71O8p8nrZRa3LoofC7eM3EryyCjI3JFwW1ki0LZLF1EwoLxySefuJk2UvwjXWSerB5IWTZD5S677OKWSX733Xc1skaSwARBvO2225zczZ49O9NTd5i4hcj9yl+UvoG2+kD2Oiq5fOmVEmYHSFrBchiKxPqOiYPWyj8V7qT7+qtj4hY9vMfPKSSv8PUbfoYpGyoswfL1J4lCxI0lh48rMwNtRrj0Vu5R0jBrCyZutfPzH0VOflo+31Ad4gJ9iy730/9I/QpeXh/SsWnNc6SZUotbK4WxxVATt7IMZIs6auxB23PPPV2SEsSKJY3ZQLxY3njhhRc60WIfHCn+aec4Hs+SS4I/X3/9dZehkiWTLKnM9hHZGTcE0WbclDSJWylhAzHLOnNddpgE0iZubC7nrn+a9gXmyzRlf+XMQFuc/Kzws6Vov68/qaRJ3Pop/1DyKep7g7KZQppvX79RFb7nuIFXyhtjUZMEcWNLw4nKuUqu73WM4vbKoSJ/m+09wnFcH5FvV9G/mLiFi4mbBQLGcsmrr77a1Wnr2bOnEy4ki6WUiByzaIceeqgTLva7IWPM1A0bNkyef/55GTVqlDtXNrNkixYtnJhRGoC6bfwbnI/6b4jdeeedJ+3atXNlAqjllkuYuIVI2sRthnKVwoyfrz+JpE3cJinUvmLmwdffECi1uLFM6wyFWSFff1JJk7gxa0YGTtKT+/p9mLjlB3JwjMLnwtffEEiCuDGeeFdhqTJFn33HVMfELXpM3GIJXq1FHTFz5kx58cUXXa22Vq1auQ/B8OHDZcSIES4rJO3NmjVzosaeNSTsvffec/vZyB7J/rdssPSRsgL33nuvOxePZ5YOYevfv7+b1WP2Dhn87LPPquyBqysalLh9pFyglEqc0iZuSMUeyoWBtqSTr7gxC9NeuUMpxcziKGVL5dpAW32Q6ZAlUF8F2pJMnOL2/Ur6s99XJa1RJTcqqyunBNrg+WNFpv/Df54kkI+4MWtLYdo0FUU3ccsPlqIvrzwdaGtoJEHcCiFN4valwtL1pO+br46JWyzBq7WoI5gpQ6BI+d+8eXM58sgj5ZhjjpHTTjtNjjvuOFd4+/3336+STRIZu/TSS+XAAw90+9WykT0X8obUHXTQQfLf//7XFeVmCeXZZ58tPXr0kIkTJ9bYS1dXNChxY+nfEoWlU77+qDFxi558xQ34/MBvgba4KETcWI5GCnO+fH39SSNOcftqfZFDBoqs9H0lKyh/UP4YaIO15or0O9p/niSQj7h9ovC7ygy5rz+JmLjlh4lbckmTuLFvfhXliUBbGjBxiyV4tRb1BLNon3/+ubz55ptuZowPAnvfgJIBZJIMzo6xhJIZOY5F6oLBuVhSyd64fv36ubT/vXv3dklJhgwZIpMnT855iWQ2GpS4lZo0iRspnJsrdylpWppTiLiVkkLEjcyZDOD4Avb1Rw2zfbcqCJmvvzpxihvpsvd9Q97eXeSih2qnZ2M9fOXv9LUcX/McSSEfcRur7KjwO+vrTyImbvlRDuLGUluWjd+ktFFyvcaUmjSJGzdkyZB4vcL3eykSn5EAhlUuTwXa6sPELZbg1VrkEcyEsY+N5CP5zIr5IrtXDukr5lwmbiGSJnHji3NTJU3FZsHELXquVLZTcl2WVwJx63q2t/d3mnbU/9QnbszMk0adgU4pZmNN3JIJn2f2P+VTjzMMykHcslAQnX2pkwNtSSaNe9zOVvZV8tmXGhYULN9duSjQVh8mbrEEr9Yiz0C4IIwI41wmbiFi4hY9Jm7RUy7iRm3C85TLlVIsrzZxSyYPKPsp/O76+qOinMSN73eEIi3f7SZu+WHiltjg1VqkPH4XtyMOE7n1xtxgMESxyOof/DAhkQRrtHsppFT3HZM0TNyix8QtespF3LL1nE5WSpGC3cQtOvh5suSXwWC+ZSL4efBz0QGctz8q0ipuFDhnaTXJwXz9DYEYxW3SpiLtrhO58VY/T5+svruCPsTELVxM3CzSEr+L299ult/+IDJvjYr9/z5I0LZkRX1Qo2czf8l84I0KChE31p8zgIxbTgsVN+qRMVAnzb6vP2pM3KLHxC0eTNyig+vT8cpRSr5lQNIkbgsUim+XKiEXdFf+T+kWaGtoxCFu3Axv+oDI+l9Vso6yvLJyoC1LtzP958mSNnEjcQ1jkh6BtjgxcbNISwTFjbs4rW7WMdgQP8f0FXlnN32QiZufQsTtTuUyZVagLQ4KFTcGMwx2SW7i648aE7foMXGLBxO36CgXcbtPuVghBbyvPw5M3MKBO+fjthIZsn8ljymbKccG2rLUV+okbeLG9ZjfuemBtjgxcbNISwTFDRc78ZkaH+ffWWOeyIAj9C8mbn4KEbdzlH2UuGuuFCpuFDleSSnVcgYTt+hpqOL27i4ij59Vyf3KNsquyqOZtiwfbl/5uCh4UyFBAwObfpm2uii1uHF94k74p4G2+jBxy49CxK2psotCkh1ff5Sw+mKggsycpfCZ9h2XNFg6S01Efr6UEPIdU504xM0Hv/c7KZcG2nIlbeJWakzcLNISDU7cSpEdLouJW/QUIm58Jkr1uTBxC5eMuOFWf/itdrzi1vxe9wc3tuvCHX5Ly8rHRcG5yn+VXH/vSy1u2d/7ToG2+jBxy49ixI06f3Ff4/i9P0AhO6SvP6lkZ9obK7kmR3lN+btCintff1SYuMWHiZtFWqJBids4hQsca6V9/VFj4hY9+Yobd1dZTnSPwh1i3zFRYuIWLhlx+2xjke5n1A6Taz5x+3xDkRZtdazZ3Q+5l+aupYebuFXFxC16ChG3dxWyYDJA5mfkOyYqykncZijPKfwe+vqjwsQtPkzcLNISDUrcsnfF2gXa4gRhO1rJZ8mIiVt+PKmcoowJtNUFA7jjFH4u+Q7gwsDELVzmrK3Pr4PIgYMq2UFZQdkk0AZH9hcZvnflY1Xc3t9RZOuxVc5Yhb1GiEzZSP8Stbh1UChDQGIJX391TNzyo1zEDZC3LZQWgbY4KCdxKxUmbvHBUnDGFh+ZuFkkPEzcQoQSBjOVfNJPm7jlx7cKiVxy/cI1ccufJIvbL8uKfL1mxcb8LD2VvynXBdpgxt+rXqeSJG58Fr9Wct1jY+KWHyZu0WPiFj0mbvERGFuYuFkkOkzcSoyJW7SQLbCPwhJLBjb5vt5iKQdx4wuPwWaplihnf+/bBtp8JEnc8iWN4ob4dFZKkSXOxC16ihG3FxW2FnCj09cfJQ1R3IbuU7EGPMi2ygbKxYE2eP5Y/znCJI3iFsDEzSLRERS3H/4kctk9IptP8LPbOyJv7KsPilrcqG02SeHL19dfGyZuucO+r0OUDwJtuZA2cctC5r7VFDL5+fqjguK0hyssjfP1+0ibuJUaZJz9Yl0CbT5M3AqnEHErJWkUN/ZQbaMgNb7+2kijuLFMeHsl1yXvYdIQxa3dda4MHPV2J2zuh+uaG7Zd0KXm48PGxC2xwSu0SHkExe3XZUQmbyIyclc/7+2k34Gr6YOiFjf2MSEV+c6OmLjlDl+6fGnmK8cmbvnB8tmPlK8CbfVh4pYf3yjcgCCBgK8/i4lb4Zi4Rc9cBQmbF2jLBRO3/Gig4sYK8mb3i+w60s/xvfWraFs93MStXkzcLBIdv4vb/sdX5NAOsp2ypnJSoA0ePVfk5z/qo2t+4EOhvbKW8lKgLRdM3KLHxC16SG7DF/V7gbY4SZu45UqaxQ0ppYYUszK+/qgxcUsuJm750UDFjS29B73m7XVsMlm/WvbUvyRV3CYrLK0mO7ivP0ZM3CwSHb+L281/0/+r9gG+QinFAM7ELbmYuDV8GADypctMoa8/rai4jdlOZJd3KyoF+GDgQ8mAxIlbqTFxSy4mbrnzs8J3LZ8LioYnXdyoz7eXclWgzUfSxA0JI2FVPisEnlFWVBIwtjBxs0h0mLiVGBO3eDBxyx2EbZCS74A36ai4sdR70IEV5d18sMd/8Z/1cBO3qpi4JRcTt9x5QSHlO7XveN9+VXzHJYVFyhClvvcpaeLG7x+1VvPZQ2/iFkvwCi1SHiZuJcbELR5M3IxHzhM5ul9uPH2y/xzlSjmJWy/lfCUBS7ZywsQtdxhbrK28HGjLBZZXDlRImubrLzVJE7dCMHGLJXiFFikPE7cSY+IWDyZuBgmVmHLLBVLs+s5RrpSTuFGHk5mOpYG2JGPiljuFitvryr+VpH5/mLiFiombRaLDxC0EKNpIuvfegbZcMXHLD+56spSJNfS+/towcTOSBLW6qGNF6RNff9JIm7ixl4m0+v2VpO9jKpZSiRtyTI3MVwNtuZI2ceM1rquQIMjXX2pM3IonMLYwcbNIdJi4hQBLav6jNAu05UorhWU59aUyTwrsfdpTKURSi4FBAhm2eL+OUPLNuGjiFh0UOSeLWFpuPiSBcxVqz6Xthk2+4sbs1afKl4E2I1z4/jlBYd+Wrz+JmLiFi4rb3LVELn5QZKf3/BzTV9/u7fRwEzc/jC3+qQw1cbNIeJi4hUAx4jZdmapwh9jXnzSomUWmq7hnCtjk/D/lZoWBIPXRfMfVholbdMxWmDm+PtBm1E25iNsXyqlK60CbES5LFPZe8Xvo608iJm7houJGAW4y4o7d2s/EzUS+X0kPN3HzY+JmkZYwcQuBYsStVIxQHlHSMtNHbbNNlJsCbflQKnFjGW1XZVigraHBXhdSP58ZaIsT5AChGBloSzppEzcyjSLmbwfaciFbz6lJoM2oCjfDWDrLUi1ff0OkVOJGplCWw3Hzz9dfG0kXt9f3E7n6ztwgfa7vHKXGxC2W4NVapDzqFDdmNxiQsUStel+UFCpuXJS3Vdg74uuPijSKGwK0qfJWoC3JFCturyi83ocDbXEwStlSuTbQlgu/KQzoSKyQ9JTVpRa37A2btoG2pJOvuJEog1nubwNtacDErX6mKHsr5wXaGjqlErdCSbq4+SDBzgLll0BbkjFxiyV4tRYpjzrFbYLCgDnuwUKh4jZPoXYIX4S+/qgwcYueYsWNdM6DFWZnfP1RUai4MVBn5vhGJen11Ezc8idfceO4S5RSDWoKxcStfkzckk8axe0u5RqF7z5ff9IwcYsleLUWKY86xa1UFCpupcLELXqKFbdSUai4kfCjsXKYEtcXL8tmyRLHDRtff22YuOVPvuLGqocdleaBtjRg4lY/Jm7Jp1TixqoLltDmm4wLzlb2VeK+WcmyajK6fh1oywUTt1iCV2uR8jBxCwETt+gxcYseNuwzOLkn0JYLJm75Y+JmZDFxSz6lEjfGFrsqlwXacqVU4sYWG77z3gm05YKJWyzBq7VIeZi4hYCJW/SYuEUPd0nXVKhJ6OuvDTJ88rvK0k4Gn3F/pgoVN5aAk6yGfY9xF1vOV9zYq9JXuVXhOhN3wqhCSaO4UfuN31eeu68/bMpR3BjUP6+kpY5hqcSNGzY7KZcG2nKlVOLG8v7NlHwTGZm4xRK8WouURyLFradypJLvHZtSYeIWPSZu0VOouGXppvxf5k9ff1QUKm68r7y/Jyu8375joiJfccuCaJIdlSypvv6kUSpxIyHDeIXSJflKOVkHN1R0AOftD5u0ihuFzT9W4hLcUmLiljsmbokOXq1FyiOR4sa6bgq2fh9oSzImbtFj4hY9Jm7xYeIWLXx38G+er5Bdz3dMbZi45QalTqjRR9kgX39DwsQtd0zcEh28WouURyLFLW0UI24MwB5X4s4cWKy4DVAeVcjk6esPGxO36EmbuFEygeVWDLSB2oS+42rDxC16SiVu3ynHK0cp+V5boxa3F47Sf6NlJc2VDZQdA21Z3trDf44g05WOCllzff1Rwd7WA5QzAm0Nlc8Urot8Nniv46p/Wk7ixjiqjTI60BYnJm4WaQkTtxAoRtzOUfZR8h3AFUux4naRwoAsrmUyJm7RkzZxo77d6cpBSiEDKRO33GEf41Ql39krE7eanPuo/PAnkS83EJmykZ9Z64j8sqwefufVNR9fnXeVLZQWgbY4SKO4sZoHkSl0NQ/Xca7nXNd9/WFTTuJWakzcLNISJm4hYOIWPSZu0WPiFh9pEzfqYx6okCDF118bJm41UXEbs53Iic+I7D3cz5UdRBasroebuIVLdv/8yEBbPpi41Y+JW6KDV2uR8qhT3Li4sRQpruVwxcKSkaeVuFMMm7hFT7HixpfXEwo/K19/VJi4RYeJW3w8q6ykdAq05UIaxY2skk2Vu5XhmbYwUXEb9l+Rf0319joOfUU/nmvrX0zcwoWM1WsrlD7x9ddHb4XvoDi+r/m53q9QAoRxje+YujBxy43ZCvvruGFDwXK9Zpm4WSQ66hQ3Nh1vp6Ql9XQ2SQFpyX39UUHmMgYnhdRaMXHzs3Q5HUwvX8lQZWPl+kBbll+X8Z8jCANdBrwMfH39UWHiFh1pFrcLFGrf5TuoMnHLjWLEDbgec11GsH39xWDiVjqKFbc4QSK2Vgopvg0mbrnBGGhzhRm3TJuJm0Wiw8QtBFg3P1Ap5AJr4laTRauK3HGNDqifruRAZWVlq0AbnPKUyIi9/OcJYuJWPyZu8cFgm2QS7B3z9deGiVtumLhFj4lbtJi4xcNchVl2Sltk2kzcLBIdJm4lxsStJnPXEvnfS26D/msHibxyqJ+Pt9HDl/lVpMdpNc9RnVKIG3WkkJhTlMcybbmSRnEbpBya+dPXHzZpFrdCiVvcflbeV1iydYTCZ8R3XG2wfP1y5YFAWxyYuEVPMeI2QeG7hyL4vv6oMHGLnrTucQtg4maR6DBxKzEmbjXJiFu/o0XW/0q/Z+f4ufQ+PTzJ4sZAiuVwfIExkPQdUxtpFLcfFJ4rf/r6w8bELXqQntMyUFtzieI7rjYohL1AiXuAbuIWPcWIG98/XBvj3nNs4hY9Jm6JDl6hRcojkeJGNi82inJXztdfGyZuuUPNq0eUQga8EIO49TpJ5E8/eI9wnN1V/5NkcWMpXA+lkOQ+aRS3uKGO20sKy/jyFWMwcauf+QpZ+BophaZQLwUmbtFTjLgxC7u9EnciMRO36DFxS3TwCi1yiJ9++km+/fZbmTNnjsycOdMxb948Wbx4sfz222+Zo/KPX375RX788UeZP3++Y8mSJa4tn0ikuHFxXUthUObrr400iht3HhkUva7ENUDPl3lriIzduionKtspLwbaYNp6/nPkQ0MRt2JgidpVCoLM4Nl3TNikTdyKJY3ixo0AbphwvfD1h42Jm7+/GFTc3ttJ5JCBOi4f6+fCzvrW/1UPN3ELl3ISNwQKeSv05myhFCtuPN8pSgmvySZuFjJjxgx58803pUuXLtK+fXvHk08+KaNHj3aiVai8IYOfffaZfsh6y3PPPScTJkyQb775JtObW5i4lRjuhlFbhuVeD2faksaTp4rs+H5V1lT+rGwZaIObW/nPkQ8mbhWzSRQ8nqwszbRFjYlb8uE5M9glIZKvP2xM3Pz9xaDi9t3KIuO2Enl/Rz+TN6lIrGviFjLlJG6MLSYpcV/bihW325SzFJZm+/pjwMStjIMZsGnTpkm/fv3k7rvvlvvvv99x7733Srt27aRz584yZMgQNwOXbyB7n3zyiTz22GPSokULadu2rQwdOlRmzZqVOSK3qFPcKLZ6tXKnEkU9m9ooJ3EDloZS8DWQjjZR3H25/PAnkReOUu9p7uexc0S+Wl8PP7Nbzcfni4lbaaCsxfVKXLM5pSaN4hY3Jm7+/mJ4+mSR5vfmxpD9/ecIYuKWO2kStxcUxjJfBdrSAOO2Nkqh2z9YZbKHgnT6+mPAxK2MA4l6+eWX5eqrr5azzz5b+vTp42beECzE7ZJLLpELL7xQRowYkdcSx19//dUtkezfv7+cfPLJctxxx8lll13mBBERyyfqFDfgwsoFltk3X38UFCpubyjU42irsBmejfG+45JGCsSN1ZJHDPD2Okgi4sYYJm5GWiAN9AkKg3MTNz/lKm7c7T9cuSTQllRM3HKnWHEjOU+axhZpxMQt0uAVWtQSzIi99957cvHFF8ttt90mzz//vEydOtXtbZs7d66MHz9eHn/8cTnqqKOkR48e8tVXX8nPP/+ceXTdsWjRIhk2bJh7/K233ur+jeuvv97EjYHYqwpT9RcrJfzFzwsTt6qYuBlx8KPyjsJSJDJU+o4pd8pV3HitbyppyKhs4pY7xYob5V2aKmkZW6QRE7dIg1do4Qmkjf1nAwYMkP32208efPBB+fLLL12Skmwwa8bMW6NGjdyet+HDh8v333+f6a09mGmbMmWKPPDAA26pJTN6t9xyi4MPWVmLW5brFL7I+ELz9YfNImWIUuiXkIlbVTLi9uaeIo176virt5+OTfVwEzcjjSCL/N4nXYbSKm6UpOB7hKVmuRQ5Z2NZ7+NzY+Jm/nOUilKJG9lyyf5MjT9ff12kVdyuVbZURgXajHCJW9z4HA9U2CqQaTNxK8Ng2eOkSZNcMpJdd91Vnn76aSdq1ePDDz+UG264wc2WPfLII7Jw4cJMT+3x9ddfO8lr1qyZPProoy4ZCfvmTNwCxC1uFFreW7ky0JYPJm5VyYgbm/PZxF8bP66gh5u4GWmEFQGHKCXcgJ8TaRU3kvsgb8DffccEueQBkZW/yw29HnrPUSpKJW68rywdLKRuo4mbURtxixtJVLZR2JeXaTNxK8NYunSpjBkzxs20HX744bX+8CdPniwPP/yw3HTTTS5hCSn96wpm8gYPHix33nmne9y7777rZuk6duxYtLgdfviG0rLl2lV4++2VTNxygSKi/1GaBdrygfS3pPkeHWhLEnGL25IVRV48XOTBiyu5UllLOSzQBp2a5HYH3MQtekYqCAl/+vqNSthX91+l0A38cVGsuJEAhus5mXN9/Unh/Ifls40rkuJe/KCf+5uJLFpVD7/92pqPLyW8x08rLPv19ScREzejNmIUtwEDVpGu56wuC1ZfVobu8+ffx76nn76eiVu5BXvVkCqE6rTTTpOBAwdmeqoG+9r69u2rH5SWTsbY/1ZbsERy9uzZbhbv8ssvV6l6WxYsWBCauO2++8bSqNEGVeBDbeKWA8WKWylgfwI/W/aC+PqDxC1uPthvsolC3Ttff32UQtxIx8xng7vSvv6GBvs//i/zp68/Cj5TKNSftuQiaRE3loGzkoDZnEJmVijQT925JoG2JKLiNmIvkY0/8/Y6Dn5VZNY6+pewxY29lizTovyHr78hco9ynPK8Eues85PKoUqhqepN3KInRnHr0uWvctN+f5PZKy8nz235l9/Hvgcc8C8Tt3ILxG3kyJHSqVMnOffcc90smS+ypQKQrttvv71OcZs+fbo8++yzbmaO87JnjiWZYYnbZZetK1OmLF+Fb75Z1sQtF9IobvcpLNX6INBWGyZuhXGrQtZC5MLX39CIW9xIKEKto3MUZh18xySVtIgb2fO4yTNdKSSBi4lb/ZDu/VSFpFq+/oYIv6/MeiFRt2fa4oAZZGpj5rLv0YeJW/TEKG5ff72czHjmj/LzBn+QBc2W/X3s+9BDfzVxK7dgqSQZJUkgcuyxx7okJb5Amp555hknXSQo8YkbyyO/++47eeedd+Sqq65yksYeNzJT/vDDD2555T333OP2ylGIe+LEiS4JCo/LJbLiVuset5nKA0qhElUIxYobG025o8eAw9cfNmkUNwRoU+WtQFttqLh9v5JI9zNErr/Nzx3XiEzZSA9PqrixD7G1ksvrDQs+DzsrgU3POcOAmTqKvZS07C0qhbidrlC8nuXGvmOSSqHixoDxLgUh8vUnDRO3+pmisEf6vEBbOUDGzu2UOG8KF0vaxI3ZzI7KiEBb0ol7jxvvzcbKzZVttsetDANxGzdunBO3PfbYQ3r27OlNTsIeN5KSsFSSY1n6WD0QMJZUInhHHnmk2zfH4z7//HMnXRMmTHAlAa644grp2rWrW0JJ/bhcSwvUK26loFhxi5uGLm4Pny/yj+m5cdk9/nMUS7HiVgqKETeW/jVWKBAd12wSS+G4UZPL8lkfJm65U6i4MWPMzDEzyL7+pGHiVj8mbv7+JBKnuLFMmWv/z4G2fKG27T+VOBOf8bxnK4UuXzdxizR4hRaeQNKYPWNp4y677PJ7xsjqRbbJKtmiRQtp27atPPfcc66EQPXgXMzesbftnHPOkSuvvNItq7zjjjscbdq0kcaNG7t6cOeff74K2M1OFOtLdJINE7cQaOji9tX6IoMPyI1PtvSfo1hM3KKHpCLHKs8G2vLBxC13TNyShYlb/Ji41c3DCteJYmbXSyFuXZUzlUK+98DELdLgFVrUEixXpEj2iSee6JZBstSRJY8EMkYaf2qwnXzyyW4W7f3333dLH2mnUPcnn3zi9sBxLMsfX3vtNenevbubVQtCLTeEDvli1o1lk5yXIt25hIlbCKRJ3GYpvZVblKuVuC6OxWLiFj0vKmsqHQJt+ZBWcSMpBEkL4vhd4N8igyz7cG9TvlZ8x9WGiVs0mLjFD8v4blCeCrQlnTjFjf27WyvUfPT150Kc4pYdWyBAPHf2EvqOqw8Tt0iDV2hRR1DLjWQizKohbzNmzHBLH1nGyBJHhI2llMy2kWQESUPYmDHr0KGDvPjii5kzVQSPrc7ixYvdvjdm2kh0whLKfMLELQTSJG7ZCzn7vXKpb5QUTNyip1zFjVT1KyiPBNqigkHqH5VHlUJ+/0zcosHErTTwO5Cm7yETt9p5XdlAISlXMT9TE7dIg1doUUcw68Vet8cee8zJW6tWrZyQUTCbfW0sc6Qe2/jx492+OERsxIgR7rjTTz/diV19EVZWyUSJGyJEUgYymfn6k0aaxC17cUXcfP1JxcQtespV3KiBtbzC0iRff5gws7ecgrj5+uvDxK1+BisXKPnUxVRxm7O2SJ/j9ON7pp/XDqooMWnipvRXLlMKXQ6XVkzcameIsr6CuPn6c8XELdLgFVrUEYgYs2hvvfWWSz5y9dVXyzXXXOMk6/rrr5dHH33UzZBll1ASo0ePdmLHsscePXpkWmsPllcy09atWzf371DrLZ9IpLiljWLFbaHCXrM4UoOHJW6fKnyhxJXx0MQtekzc/P1hYuIWPWTRW1lh2Zav30eHK0X2H1LJHspqyrqBtiw9G/vPUSjFihvJINifGmfZkTbKegqS7OtvqJi41U5Y4kZGcL4747pxb+Jm4YslS5a4jJFIFcslYc6cOW4/G8smkbtsIGIcS38u+9SQQ8SPc/HvMHOXT5i4hUCx4vaOwuCGQZmvP0zCEjcK8h6tMOjw9YeNiVv0mLj5+8PExC16ChG3BatXJGHK8raym3JSoC3Lt6v4z1EoxYobST72U+Ksh2bi5u8Pk3IVtwUK33lLA21RYuJmUVcgWWSWzC6LTEKYuIVAseI2VNlQiXMderHixnIGBmQMzHz9YWPiFj0mbv7+MEmbuC1RnlDYB1hIWvK0iFt1WP2wj0JWP19/mBQrbu8qWyjcTPP1R0FaxY1Belul0O8tE7faCUvc4sbEzSJtUa+4/ah8ocwNtCUdMrXxxUtdKl9/2Ji4RU+x4kZtMpYSsSzV1x8FJm7RYuIWPfOVI5VGSiHLok3c6sfELT5IfLa28nKgLR94PNfkjwNtUWHiFg8mbhZpi3rFjZSuZyj3BdqSTiflZCWujdMmbtFTrLgNVxjgPxNoixoTt2gxcYseEzd/f5iYuMVHseJGCYMxCjcCff1hYuIWDyZuFmmLesWNi9T2SpqKZFIjiS8yvtB8/WEzU2mnFCoFJm71w2wZF1aymfn664OBLgPeOPYRZjFxi5Y0ihtLrJoquRS+95E2ceOze6dCvS7e3zgSaJi4RU+5ilucmLjFA9ckbggPqGwzcbNIdJi4JQATt+gxcaufYsWN2aSVMn/6+sMmjeJWLGkTtyy8t3y2ng+0RUW5iRtlD3ZQEDf2JP6i+I4LkzDEjd9ftjNwrfP1R4GJW3SkVdw8mLhZJDpM3BKAiVv0mLjVT7Hixl7YZzN/+vrDxsQtesISN+5qI23TAm1RUW7ixs9ooMI1nfp1Hym+48IkDHHjPb5K6R5oixoTt+gwcUtF8AotUh6JErdvFCSm2L1pJm61w6bqcxQKnPv6c8XErX66KPzefBVoy5U0ilvc/KbcpbDMhcGr75hcMHGrnbDELU7SJm6zFLIV3h9oKwSyJf5deS3QFhVhiBtlDLZT4rwpbOIWHSZuqQheoUXKI1HihlRw57HYlO8mbrVDSm8yK7KkxtefKyZu9cNAl+K4hSxdMnHLjcXKtwqzb77+XDBxqx0TN39/mPDZ5TrBZ9nXnysmbvVj4hYdJm6pCF6hRcojUeL2gbKtwvIJX3+umLhFj4lbtCB7Lyl9lbgGzGkUtzBIk7hxjXxQiSPJB5i4+fuTiIlb/ZSbuLE0mQy2IwNtYbBwNZFOTUQuv7uSE5RVlD0CbXDNHTqO3M5/Hh8styeLeQlLUJm4WSQ6TNwSgIlb9KRN3EoBaZH3Uyi47OtvqKRJ3OLGxM3fn0RM3GqHz+4EhezPByiUl/EdlyT4rjpBGR9oSwrT1tP3cbDM/6sO23aona/W18NXXKIy1qjmOWqDscUeyqRAW8yYuFkkOkzcEoCJW/SYuNUPSw7ZX5qmYvthYOJWOyZu/v4kYuJWO8jP8QpjA65xXOt8xyUJygzx/VrstoYoyIhb/yP1RzhGh20f+bn1Rj3cxC1RwSu0SHmYuCUAE7foMXEzaoMBJMkhwl5O1BAoV3FboHRS4izYXywmbrXzvrKNUuzYYpjSVSGhjK+/XMiIW/czRP7wm/cIx0UP6X9M3BIVvEKLlIeJW5GwoZwv+aWBtnwxcasb7o6SUKWY+kQmbkbcLF1Orw2ri8xdq35Yc/TzH/3nKSVpFLfHFK6ngYK6ZUGc4naPgnQND7TlSxrFjZILuymU1fku01aONCRxI2Eb17lAciATN4tEh4lbkTBI4EJTzEXGxK1uSJN9pcLSEV9/Lpi4GXEzaVORCzuL/O+l+jnnMZFxW/nPU0rSKG7UEXxVKbdZkTjFjeQ4ZBGcF2jLlzSK26fKk8pZCjOyvmPKgYYkbiydpURSj8o2EzeLRIeJW5GQ+WkrZXSgLV9Yf0+x5j6BtqRDpirKNhQjU7lCUdk9lcmBtnwxcYsPlhxyRzotA/2oGP0fkS0/kfFbiPRsXDvO1zaaIjJ875rnKDVhiRu/u88phdQ0NHKDa1wThbI6vv6kkUZxAwb6OyuXBNrKjYYkbiTl2li5ubLNxM0i0WHiViRhiBt1fKjbVcxSwLhhaShLDCiC7OsPExO3dEFCh0OV6YG2ciQjbh2uFFnhx9ppc4Me3tDFjWL0qytpujmVNvj+4HukmJqGcWLill5M3FIbvEKLlIeJW5GEIW5xwlIP3h9qdvn6k0haxa2ncpsSx6xkkjhTIeU2NYR8/WHBTQOWKrPfhj2QvmNKSUbcbr/W2/s7LW/R/yRV3H5UBiqDlGL28bKsbCWFGk2+/nKlv3K9EtcgNUnEKW5fK8z4vhNoKxQTNxO3FAev0CLlUa+4MVhmPfcDgbYw+GVZkQmb6y/NXpV0VTZWGgfassxax38eHw8ppypx1D9Jm7ixhG0DhU3Wvv4kEoa4cXFmFijOgSPLX/mC54ve158LJL5h6WGaZq/iEjdmFk5XDlJmZNqSRBTixutk8MlMmK8/qZi4+blF2UgpJslHWolT3MIkTeL2jTJKCXuJckbcXjlUZO/hInuN8NP+Kj3cxC1RwSu0SHnUK24svWAAVswmZB9LVhRp2lF/YT6rZD1leWW1QFsWNoP4zuOD58qFirvFvv4wMXGLnjDEjYxRUxW+yHz9URCGuJG4ZhclTTXGTNwqiELcuik7KMyA+fqTiombHxM3E7co4abff5Wwb7xnxO3bVUQ+27h2SJhr4pas4BVapDzqFbeoWPxnkROek4mbidx5tUirm/30Pr5ick66XFDzHEnAxC16whC3UhCGuL2srK3cGWgLG5bAUfOKQtRhJBQxcasgCnFjqS9Lfln66+tPKiZufkzcTNxqg5szrB4qZqn9G8o/lbAzVi9aVeTxs1R2WlVyurKqsl+gDVrflF/GXBO3SINXaJHyKLW4UXl/9QXeIxwn9RL5cQX9i4lbOJi4xUdaxO0H5STlcIW9IL5j8iFt4sZsLCnkqRfo6y+UKMSN4r9bK6Qkn6PEkRwoDNImbtzMoJxAGL8PdVHO4sZ18TDl1kBbGohL3Bhb8Lv+XqAtX6ISNx+Uh1hfKfbnaeIWafAKLVIeJm5FYuIWPSZuJm4+whK3wQrPN+yCzVGIG3sdSRZyoUI5jiWK77ikkTZxQ9ouVe4ItEVBOYsbBayREmrC+fqTiombHxO3VASv0CLlYeJWJCZu0WPillxxG7OdyGPnVGUPZQulQ6AN3trDf45CCUvcWCK6vBL2PsKMuL18WEV97dp44Sg9PFdxAzJoHq0crzD49R2TNOIUN5JSPaF8HmjLFx67j0JpC19/WKRV3Mg23UtJ4hLlqDFx85NGcXtTISvxxUrfTJti4lbi+O233+TXX3+VX375pQa0A8eUa5i4FUkY4sZyJ2rwMBD19YdJmOIW1/M2cUuuuFGETP9gH+rS5fzQ99sf9PAmnWo+vhiSLm7v7SSyzcciyy2tZFnl/5RlAm2w6SRx2XN956mOiVvddFRWVti36evPhTSKG78PLPGMY/lsG2U9hdlqX39DxsTNT1jihkTtrcTxfc/YYi+l2qyviVuJAiFbsmSJzJgxQ15//XW59957pX379nL77bdLu3bt5M4775QuXbrI0KFDZcqUKbJ48WInc+UWJm5FEoa4TVCaK88H2qIiTHHjjtiVStSDMRO3RIvb/L+K3Ha9yKlP+rmyg/7oNtHDy03ceGMGHCHy5KmVXKwsq5wfaIN+R4vMWdt/nuqYuNVNuYrbC0pTZWygLSpM3EzcqhOWuFF/91Ul7D3HPkzcSh/MnH333XcyceJEGT16tBO2vn37yv333y+XX365NG/eXJo1ayaXXHKJ+/t1110nd999tzz99NMyePBgefvtt2XSpEnyww8/lI3EmbgVSRjiRsr3DZU4Lq5hitvbymbKDYG2KDBxS7S4kRl6/yHeXsdmE0Xe2U3/Um7i5oOkIsspjwba8iUucSNhC9eLuYG2QkmbuM1WuClFxsPXlKiK6Icpbm2Vvys8X19/mKRN3BYpfF9NDLQViombn7DELU5M3EofyNb48eOlZcuWcsopp8ihhx4qjRo1klatWskrr7wiw4cPl5EjR8o777wjb775pvTp00cuvvhiOfbYY+Wwww6TI488Utq0aSPTp0+X77//PnPWhh0mbkVi4mbiVhsmbg4TtwBpErcuyuYKd799/fmQNnFjCThFzknHjqD0UXzHFYuJWzx8rOynhPEda+Lmx8QtFcErTET8+OOPMn/+fHnppZfk4YcfdjNoPXr0kCeeeEKeffZZGTFihHz11Vcye/Zs+frrrx1z586Vzz77zAldr169pHv37u6xnTt3dn/2799fxowZ42bfGnLUK27caaR2UNgZ1zLixhKqe5uLy7zmg437eddxe0XpoFCE29cfJiZu6RK3/sr9CnfUff1hYuLmiETc+H27VuFzTJKEYgTGxM3P3cpfFX5nfP35kDZxy8LPiZ8XPzdff7GYuMXD+8o2ylWBtlz4dRmRno31WnN7Jecq6yo7BtqyhJmAycQtekzcShfMjk2bNk3uuusuad26tVsqyZ61fII9cQsXLnR73q699lq3Hw55+/bbbzNHNMyoV9zIHrW9EnaRzCUrilx2j8u6lhP5VN6/TtlCYa20rz9MEMSjlHGBtnwxcasbBjenKl8G2gqFvYQ7KXHsAzFxc0QibtQzW0Yhe6CvPx/iFDdugDGALGYGx8Stbkzc/P1hUi7ixl3jU59095knbqaX8i39fLV+hePJ/c1qnqNQTNyih9+/05RqN/lN3GIIpItZN2bVPv/8c5eUpJA9akuXLpVvvvlGpk6d6pZckrTkp59+yvQ2zCiZuHGV+2xjcSmzc2HuWv7z+IhT3KhVhbRRxNfXnwsmbnXDXhsSuPwYaCsUE7eamLjFJ24sv2Mglu/7HMTErW5M3Pz9YVJm4sb169BXRP4z2g8JmL5bWR9i4pYucatlbGHiFkP8/PPPTrhIRvLUU0/J888/L++//75bDol4FZLuH/kj0QlS2JCjZOIWJXGKWxiYuMWHiVtNTNziE7cwSKO4UeSW75APAm1RYeLm7w+TMMSNaw2/e3w2fP1hUqS4vXqwyLozvUc4jukr8s1f9C8mbukSt1owcYshECxm2sgcufvuu7tEI6T9f+utt1w5gEWLFrnllAheQxexfCNR4saGcAYiDCR9/bli4lY7DBDYkxeGCJi41c3VChviPw205UsKxG3G30WO7C/yl2/87PSeyKid9fAwxY2B9OoK+9t8/flg4uYnTHGLkzSJG7K1ncK11NefD2kTtw8VXnscYwsTN39/mJi4pSJ4hYkIljiyp+3DDz+UAQMGuMQkt912m0v7T9bIK6+80v3/G2+8IbNmzXLLKMu56HYwEiVuUxQG1o8H2grBxK12GJiTJa4Ymchi4lY3Hyn8bIupR5MCcWO76pt7ivQ9xs+gA0UWrK6Hhylu7Hfsp4SRgMjEzY+JW/TixjItRGteoK1QTNxqx8TN3x8mJm6pCF5hogIZQ+CYfSOb5I033iiXXnqpEzhm4+677z555plnZODAgS4JyQcffCBz5sxp8Jkj64pEiRvLaLZV8r24VsfELR5M3KKHAcdZSt9AW9gUI27PnSBy7PO50flC/zlKTdrEjf20DNLvUIpdnVAXJm7Ri1uYxCFu7NEcpPBddZ7CzSnfcblg4lY3YYgb33NkTnwm0BYVYYobnzM+x8VsMygCE7eYA3ljOSR725A4lklOnjxZXn31VVd0e//995cdd9xRDjjgAGnatKkrvD1zpv5GlmmYuCUAE7f4SJu4LVWYVfkp0BY2xYjbT8uLfLtKbvzwJ/85Sk3axO03ZUkG/u47JgxM3EzcqjNK2VHhms91ie0NvuNywcStbsIQN34+3OiJ8vsjS5jiNlJh3BnGXvwCMHErcSBx7IGjqPawYcPcTFy3bt3c7BuFupmJI/3/3Xff7eq6lVuYuCUAE7f4SJu4xQFf7gMVUtVHOYOTVNImbnFh4mbiVp13lH8rYVzzTdzq5i2Fa9PcQFuSIcN2N6WYmrZZeO2bKjcG2mLExC0BwSwc+9qoyUaykrFjx0rfvn3llltukT333NPNwB111FEycuTIzCPKJ0zcEgBfKtSCQ9xYehLlvpUwMXEzGgLs+dxDiXI5ahoxcRN5QdlNeSXQllRM3GqnSHEbuavIYS+L7DzKz1Xt9Ws77HIA5YyJW2TBK0xFkLyEWbfRo0fLww8/LOeee64cfvjhsscee8h//vMfOf7446Vt27YyadKkzCPKJ0zcEsD3ymTlZuVghS8Z33FJw8TNaAgsUkgSQdIPX3+5YuJW8Zngs/FNoC2pmLjVTpHiRgHuSZuKjN/CDyVRQi/AXc6YuEUWvMLEBbNriNrs2bNlzJgx0q9fP+natavcf//9LlkJ+9rOOussueKKK1ymyXvvvVd69eolb7/9tixYsCBzlnCDGnMU837zzTdl0KBBjlGjRjlpyje75cKFC92STkodcJ7XXntNRowYIRMmTHByymvPJ0zcioSsTSynmRVoKxTEbWMljro2YRCXuHG3u4eyINBWKCZuRilhsz1JRYpJ6hAXaRU3rktcS8vtdzwOcSObaweFWWpffz7MVO5VqGV3n/KZ4jsuDAoVN2ys10k6pmhXyXnKusqOgbYsb+3hP4+RH3GJW3ZsUe2mnYlbDBFcCkmWyK+++soV42YfW+PGjWXfffd19d1ITHLaaafJHXfcIcOHD3eixuOiimySlHHjxkmfPn2cKLKf7pprrpEOHTrISy+95J4Dx9QXPE+Kgn/88cfy3HPPuXNxHkodtG7d2pVA+OSTT9z58qlVZ+JWJGwgpi5aGOu6SfnOspy0zBSyaXpPpV2gLQrIisW/w6ykrz8fTNyihy9BsoIVk7igocJeKfZMcbPH158kwhQ3VhVwc6sc91DGxf0K39XDAm1p4C5lTeXFQFvYFCpuPrj5srNySaDNCJe4xI2xxV5KtZsGJm4xBEJDZsjHHnvMpf9nRg0ZOeGEE+Scc85xyyCp70ZyEkoAMGM1f/58V5A73xmvfILZMWrLMavHDB/Pj+QoPXv2lFtvvVVl6WYnlwhXffH111+7OnR33nmne42dOnWSp59+2p3rnnvukRtuuEGaNGkir7zyipt5y1XeTNyKJExx4+LxppKWJVssH+L5hiFUdWHili64AUHx8XwzVJYD5SpuJL45QkmbVKSJzxXe3zBqwsWJiZtRHRO3yIJXmIhAVFiK2KZNGychF110kROlVq1aOVliWSEShajFGeyZyy7RZIaMpZIsaWQGrnfv3u75MgP44osvuuWUtckWcsnjeD3M2LVr187NKJJkBeljyeRdd93l9u098MADri3X2nQmbkUSprjFwWzleeXjQFvSSZu4URS6lxJGkfM0cqZygEKWMV9/GPBFiwRNDbSlgTSJG8uILlS4Lvv686GTspLybKDNqFgySyH5OYG2ciMOcUNqGReQpdHXnw8mbtFj4hZZ8AoTEYjb1KlT3SwUAjN+/PjfRQiinFWrLfg3KfJ9yCGHuGWRH330kXz//feuHZBIZseoJ/fggw+65/zjjz9mHl01eA3MFu69995uxo0C44hZ9lxA4pULL7xQbrrpJldkPNf9eiZuRZI2cWNP3r+UNoG2pJM2cSM74eoKSRJ8/Q2dOMSNtNN/VNif4OtPKmkSN2rEsdw1jFpxJm5+WiqbKGnZ1xwFcYgbn+FfM/j688HELXpM3CILXmEiAglif1t2NgtpC86uIUSIzLx589ySQx8sncxlr1kugWjNmjXLLWXca6+93Kxf9f10yNY777zjZItlkyRR4TX4gvMxo4iYkogEUa2+N49ELOx3Y8nk448/7l5rLlGvuLFXhTuCcUhQWOLG3itmleJYqpU2cXtd2UApUWHLgghT3CjsydKvMBKd1AafvVUV9pz4+vOBmdFLlTSkI88Sh7h1VZZRngi0pYEwxI39YiRz4MbAj5m2pGPi5ofEHBspwwNt5UYc4hYmaRQ3biZeq0wKtCUZE7fIgleY2EDcWB5JMg9mq15++WW3JLE2WG44d+7czKOLCzI7slwR0dpnn31cMhFfcAwzaMgWs261zZIheUjdxIkTvUKG2DHjRsZM9s2RJTO0Gbc4CUvc4sTELXrCFLc4CFPcXlbWVtg35usPA+5CMxhBEn/OtBWDiVtNflJYFsdnYn/lJcV3XC6wB/Zo5XglLTUfTdz8mLiZuFWHm+WIC0vuff2FQJZVZnbZk+7rDwOuS2R0/SLQVigmbpEFrzCxgbiwt43kJPvtt5/LKHnQQQe5pYvVOfTQQ+Xkk0+W9957L/Po4gJxQ6Q6duwojRo1ctkjfYE0sayRQuAsp2TWr7ZAzpgRrD7ThtSRnOXVV191rwURfP/9992yzFzCxK1ITNyix8QtWnFj1qapcrbCoMF3TD6YuNVkrnK6cp4yRSlGuEzcGg4mbiZu1RmqsJy/c6CtWOIQN2SLrNhhfO+ZuEUWvMLEBrNsZJO87LLLXHKQzp07u+LbjzzyiJennnpKpk2blnl0ccFs37vvvutm0c4880xXa80XlC3o27evtGzZ0pUoyHV5YzaQucWLF7u9dHfffbecccYZbnaPmcNc67llxe3YYzeQe+9dowoffLCiHlH1Ax0pJm7RY+IWPWkTN1K0n6QcroSxvDht4sZMI3uNWGLt6w8DUuEfopyqLM20FYqJW3yQjRC5iqrunolbxfJ1asOl5foetbixLP5vCvUeff2FELW49VH4NxhXhLFfM0Zxm7HRH+XxG1evMva98MJ/mLiVIpC04447zv3Jcsk4Ix9xe/75592MWz7ixiwbM2/MKmaXW7K/jVk79rrlE1lx23HHTeSgg/5VBe461PigRwkXRAaPUdcFCxMTt+gxcTNxq06Y4kamueWVhwNtYVPu4vaUwnWSnxuFl6Oo8cdyVD5zzG76+guBvYjsSWRvoq+/WNImblwrKMKdtpIDYWLiVhOu+SwBD2t5Z4ziNna1P8kZe65XZey7++4bm7iVIhC2U045RYYMGZL3TFaxwWwX9eKo0cbyTOTMF2TCZKYPcSMbZl1LJYPB+TmWvXmUPbj++uula9eurj5dbQlOaousuF188d/l/fdXrMKcOcvpEdU+6FGyWPlQIXWvrz+JmLhFj4mbiVt1TNzSJW68fjLaXqRQ42+R4juuGNhbc77C0jtffyGYuFVlnHKy0iXQVm6YuNUkxeL23fbLyLgX/lRl7HvXXWuauJUiBg4c6Gqn8cZTTy3OYDaMlP3I1G677Sbdu3d3+9BY2hgMZsvat2/vskpyLMlU6otFixa5JCXIYLbw9pNPPukKfVff/5ZLJGqPWxoJU9w4B4NIBjm+/mJh4MSSFL5wikmOkIWacNQrGxVoiwITNxO36pi4pUvcgGyYjRQKcYexl7I6E5RdFfZr+voLIU3ixk1PymOE9Xv34woqEYeKdL6wkmuVvymHBdqyTNzMf56GholbTcIWN/ac3aSQ0dzXHxaMLWyPW3JixowZbp8be7948ykJQHKP2mB5Y3WxKjSyCUOYEdt1113dkknKAwRLFHDMyJEjpUmTJm6pIzXdSPOfXQbJrFrw+WTbP/30U1dmgMLdLVq0cK+RcgaFholbkYQpblxcN1aiqulzlrKfwlIXX3++kEFqM+WGQFsUmLiZuFXHxC16ceN5krgmjNpXYOJWkzDFra3yd+W1QFsxzP+ryJH95Zdl9RLxp9r5+Y+Zh3Q7s+rjkwSfYT7Lxf7ugYlbTcIWt7gwcUtWIE5ffvmlq4/GMsSrrrrKFadu1apVDVq3bu0Ej6WGYQWSRXbHyy+/3M2okTSEJZsIGFI2ffp06dmzp/zvf/9zddcQKMSOBClvvvmmDBgwwD0+GyQcoWQByy95HTyGrJlz5syptXB3LmHiViQmbiZu1TFxM3GrThrFjSx/5yhhJW0xcatJCsTtnd1ETushcuIzfjo2zTwkyeI2VblSCeN6YeJWExO31ASvMLGBJLF8kL1uyNOxxx7rSgNQ6+ySSy6pQrNmzdw+sfHjx2ceHU4w64c4MqOGHDKrRtKSUaNGuaWOCCUFuN944w0nX0gdssYM3TXXXONm1ghS+1OqgGWRSNYJJ5zgjkHueGwQHs8yTWYRc4mcxY0LH18IcwJtSYYBDRcp1uT7+sPCxC1d4saXLu/vt4G2sDFxM3GrThrF7W7lrwoF6339+WLiVpMUiNtzJ4is9L33CMcZ3TN/SbK4kR10GyWMjNV8f16mPBRoCxMTt/gwcUtWMGvFbNrBBx/s0uQ/+uijbt/b22+/7YW6a7nsMcsnmFkjXX+fPn1cWYLjjz/eSRICyZ+UKXjnnXfcbBrSRjCrxrHUZGvXrp1rR67YJ7fnnnvKVltt5dhxxx1ll112cUsxg3BuyhvkunwyZ3EjnTObRV8NtCWZicrBCmLl6w8LE7d0idv1ClLBIM/XHwYmbiZu1TFxM3HzYeIWD2GKGxlR+R2M6nfPxC0+TNySFRS2vuCCC+T22293s14TJkxwyxMRGh/M0OU6S5VPIF4swXz99dfdckmgdhszbsgl/25wqSMiRSbMZ5991u2B4/HffPONjB071iUhIYlJXTALx0xj6AW4ydS1hjIg0JZkxiu7KGF+ifvgC7e7QqIOX38+mLj5GaSQBIUvS19/PjRXKG46NtBWDLPW0QHu5SJX3FXJUcryyn6BNrilpcin//afpzZM3PykTdzImEutI36exe4ZM3HzY+Jm4lYbYYpb1Ji4xUctYwsTtxIFM2xnnXWWm03LN0V+FIGAkWyEfWyIWliJUIoNE7cEYeIWPWGL27itRP4zWr5eU2TMdrUzc109fJ1ZIq8eXPMcdZFGcSOFM2nZw7iZURthihsDpf8o9ynM6lIPzHdcUkiruPE5Y+DcTPkm0xYmJm7pFDfq7rGlIYoSEVlM3Ezc8sDErUTBjBb71thTFvYSyGIiK3BJCRO3BGHiFj0RiVvPxiLbf1g79zbXw8tF3Ph8sfTk50Bb2IQpbguUMQqfDX5HopwpDIO0ihszjdTonKJEUYDbxC2d4kYJg32VMN6D2jBxM3HLAxO3EgVLC1mWSIFrknbMnDnTLTkk22RtFFIHLe2RGHGjxhgX8DAGjmDiVpOeyoMKA1Vff76YuP0ubvc38/b+zrW363/KRdzi4F2FLHFhZTwEZgnZ74BY+PqTQlrFLWrSKG4DlTZKGJ+5wQpigsBx3fhN8R2XK3GJG2OLNRWymPr6w8DEzcQtD0zcShTs8ULerrjiCpWSm13Sj48++sjtN/NBJsZc94U1pEiMuJGlaQflo0BbMSRd3ChuOm+NqlylbKi8FGiDRauK/LqM/zylxMQtenFjMPZv5YFAW9ikUdyiIC3ixjLD0xQGS+yd8x0TBiZu0Ytb2MxQDlL4fBS7lzIjbv2PFFlvmn79z/Nz8YOZhyRV3PgdYTZvdwWB8R2TJKIQt3YKy8G54eXrL5awxY0ETtygYl+srz9iTNxKFCQDue666+TQQw+Vgw46SE4++WS35+28887zcuWVV8q4ceMyjy6fMHErEW/sK3J0P5EjBlSyqbKSskegDUhq8c1f/OcpJSZu0Ysb5TdY+lQt61WomLhVkBZxYwkqWWyZbQyjoHBtmLiZuKm4sT/35cP0q/8IPx9un3lIUsWti8ISaJKIMS7wHZMkohA3smy/roS12qY6YYsbPycyPrIKy9cfMSZuJYrhw4fLHXfc4eSNWbe6QNpatmwpn376aebR5RMmbiXiyVN1QLBURu0s8syJfnofr9fB9fXww17WAfzaNc9Rakzcohe3OEAE7lG4KxtlfbukkxZxiwsTt/IWt+9WVnm4pmq17QOUVZQtAm1Zhu7jP099RC1uXPN3VD4OtCWZDxWuRS8E2pIOWzBaKfMCbcXwlkL5KRJd+fojxsStRMF+NdL7k8ExV5KUNCSuMHErERlxu7CzyIpL/Ky2UOTZRnq4iVt4mLj5IZMiFLsvJs2YuFXFxK28xe23P+g1YXmRJStWMlTZVLkm0Jbll2X956kPE7eqkLiHVRBRzqaHDd8dPyphfX+YuEUWvEKLlIeJW4nIiNs5j3l7HSv8KC5boYlbiJi4GbUxVOmnRJmWPE2YuFWck6V2kwJtSSZMcfPxjsKe2zCv+WkTt5kKqxNI9uXrN4rHxC2y4BUmIphdY8aM5CJkhyTlfqGRrbVGUe7Zs2fL0qVLMz0NM0zciuQLhaUN+WZ3M3GrH/ZbMVAIsx5YROJG5rU93qqdBy/Ww03cyheWo36iIABpmdUsVty+3EAHYHvkxucb+s+RD1yLz1M6BNrKjajFjXprjRVk1tdfCGkTN36Pd1YuCbQZ4RKXuLF3nLEAM5yBdhO3GAJhmzZtmkycONFlhyxGtlheOX/+fOnfv7/07NnTlRBoyGHiViRsID5MyVcETNzq5yVla6VXoK1YIhK3havpmHzT2qFAt4lbGcNNiLOVK5QoaphFQbHidvflOvialBvtrvOfIx9YrkVyBAo6+/rLgajFjQEughzWXiYwcTOqE5e4cX5uRFSrbWviFkMgWwsWLJBhw4a5um3dunWTwYMHy6RJk1zxbWbQfMHMXPaxlAR46aWX5IknnpDu3bu7At4jR450M3gNOUzciuQaZSuFLG++/tpoCOLGIImkFoMCbWGCsP1JCfPubtjixs+lUxP9Ari1fm6/VmTyJv7zNDQotHyfElXdoLQxSzlEOVVJy96VYsXthjYuMeHjZ4nceqOfR84Tmc1Xz5Udaj7eyB+SCz2uPKekZWY3beJGpt+HFIqnU1/zU8V3nFE4cYkbmSvZ11wta7OJW0yBhA0cOFBuueUWadSokdx4442uAPfo0aNlypQprgD3rFmzqjB9+nQnbAha7969pXnz5nLqqafKhRde6CSQJZjFLLtMQ5i4FUmaxI27pHzppGXgmAZx87FEmaaUc4ZG6s+tp7QJtIUJtZm4SxplHbMwSaO4kZhjW6XQGzMqbhM3E9n9bW+vY/sPRcZsp38pV3GjJh+zZCR28PWXA1GLG4L1P4X9ir7+QqG25qrK84E2IxxM3CILXmGign1pEyZMkBEjRriZs1atWkmTJk3k7LPP/r2G2wUXXOA499xzXdtpp53m/k5JAGbreCyFu1ku2dCljTBxK5I0idvtyuUK8ubrTxppFbcRCjXRyvkLPWpxo9YRdYOocefrTxppFDdm1PksF7oszsStfpgdO0VJS8bDKIha3NhXyvdz2Dd5TNyiw8QtsuAVJi6YJWPP24cffihPP/20q+XG7Nu11177O9dcc42Dv7do0UJuu+02efjhh10B7sWLF2fOVB6Rs7gNVFjTPSbQFiZhixuZn1orURdwLFLcHjtH5Oyufs5/WOTdXfTwsMSNIqT7KdXWcyeWKMTtKaWlMj3QFjZ8kfOFfn+grVCYuSN7WZSiGQVRi1tXZRnliUBbkglT3NjLxftLQV2SnviOSQImbvXDbNBGyvBAW7kRtbhFRZrE7QOlt5KWm7ZRi9tUhYLsLZS2SrX3xcQtAUGyEmSOvWxz5syRGTNmyLx585yklWPttmDkLG5RE7a4xUWh4vbUKSLL/6SDT/381cf/XjJx8/UnlTDF7WVlbYW9FL7+YmEfDEkMwt4PY+JWlTDFbaFytHK8km822zgxcasfEzcTt+pEcU2+WdlEiWrPMc81zOcbtbhxM3QFpZaxhYlbAgI5Q95IRPLDDz+4hCOUD6CtHJZD1hUmbkVSqLhN/VfFrNsTp9fPkP1FfviT/zz5YOIWD2kSN2ZtzlFGBtrCwMStKiZuXkzcFBM3E7cgjIHY4hHm+xG1uPEdzczV/EBbMZi4RRa8QouUh4lbgbDvY5hCKnxqB01UfMclCRO3eEiTuHVWeI95r339hZJGcSPN9yiF5DK+/mIIU9yQNQZiDO4omcFeNN9xpaYhiBtLqknOws/P118sJm4VS/i4CRH2zaOoiUrc2L/7N4VSQ77+Qoha3M5U2HMc1rXIxC2y4BVapDxM3ArkDWU7pZ3C+ugk7zXJYuIWDyZu6RS3q5RjlCh+P8IUN5ZRcWeb/bsbKyS48B1XahqCuD2trK+EPTjPYuJWcSOC349qRZATj4lbJSZuqQleoUXKIzHixl1NBmNp2TxLspZ1lDAvrlFj4hYPJm7pFLfzFTKMTQm0hUWY4paFmYqVlY6BtiSh4kYdt+5niLRt4YfkTG77bhjiRuHtB5UXAm3FQkmE5ZQnA21hkjZxY2DO0sZXA23liolbJSZuqQleoUXKIzHiljaiEDcGHqSl/T7QFiZhixtLyni+PG9ff7GYuJm41YaJW/LF7d7mIluMr+TfyqrKyspmmbYsd1zjP0c+UKdrVyXMEjBpEzc+W1zfqQ3n6y+Wd5R/K2wR8PWXEyZulYQtbmTBPFS5L9AWJiZuFmkOE7cCiULcuIgcq0RVciFscaP20AlKp0BbmJi4mbjVholb8sVt2noV9UyyDFMOUPZSBmXasny5gf8c+WDiJvK1QtkeBuosqfUdUwwmbpWYuFUStrixfJZtM5TD8fUXi4mbRZrDxK1AohA3Lq7sWaHora+/WMIWt7eVzZSovsRN3CoSZlyrtFL4sgl7dtPErRITtwpIvMTnIezrECsJGilHKGFlnwti4lYx03aQcppi4lYBn+NnlEILydeGiVslYYtb1Ji4pSNI+09ZgHJP/189chY3ir5yFySsQUfU8KXFQCGqDc8mbukUtx8VPhdRDGqyhCluWa5WtlHeD7SFgYlbJSZuFXCne3vl8kBbGJi41cTELXqaKzsqrBDx9RcK30t/V/oH2sLAxC16TNySHz///LMsWrRIZs2aJV9//XWVotvlLnM5ixsXJ3453wu0JRmm2Kmx9nCgLUxM3NIpbo8pZA8M6z3wYeJm4lYdEzcTNx8mbtETlbhxnWBcFPZ+QhO36DFxS25QZHvSpEkyfPhwef755+XJJ5+U1157Tb799ltXiBuJe/PNN2X8+PHu/3/55ZfMI8snchY3MkmtoQwItCWZ8couSphf4kHYPMvFKsxlEiZuVeF9YA9dmBnM+BLfSRkbaAsbEzcTt+osUFoqXEd/ybQVi4lbVdIkbizbe01B3C5QWBLtOy5fTNxqEpW4RYWJW/Rwo6SOsYWJWwlj9uzZcu+99zox2XHHHWWHHXaQJk2ayOTJk2XmzJlO6I499lhp06aN+3/krdzCxK1AuGu+SGHpna+/EEzcqkJtPN5jlun6+gvBxK0qJm6VRCluvymLFeTF118IJm5VSZO4ke58WwWZ/1YJaxbWxK0mJm4mbtVhbPGNUsvYwsStRIGcMct24403yq233iqPPfaYnHXWWXLVVVe5Wbj58+fLZ5995sTu5ptvlg4dOrj/L7cwcUsQJm7RY+JWlajEjS9wlqWOCrSFATNXvK985viTwbrvuEKIUtyiIG3ihpyQJZXlZVHsPU6TuA1T/qUgbr7+QkmjuL2utFDGBdrCxMTNxC1PTNxKFAMHDpQbbrhBbrvtNrc8csmSJdK+fXtp3bq1E7TvvvtOFi9eLB9//LG0bdtWDjvsMHn77bfLbr9bYsSNX3hki9pgvv58MXGrCctyLlTYb+PrzxcTNz8MRP6rhClDaRO3qOCzy9KysAe8YOJWQVTiFjVpEjeW2h+phL0HO43ixthiTeXFQFuYmLiZuOWJiVuJolu3bnLuuefKkCFDZO7cuV5xIzEJ7Y8++qgcfPDBbunk0qVLM2coj0iMuN2uHK9MDLQVg4lbTaYrnyssE/D154uJmx+WdzKIDHM5mIlbBXx2+QzzWfb1F4OJWwUmbpVEJW4sG52khF3ew8StJiZuJm55YuJWonj44YfltNNOk1GjRjk584lbNpC8Aw44QIYNG2biVhtRi9tlyg4KgwZff76YuEWPiVt8MKi5WwlbWNImblGSNnFjIHqjwu+hr79QTNwqiUrcosLErSYmbhVJODgfN718/cUSlbhxbXtIiTILtAcTtxLF448/Lmeffba8/vrrbsbt+++/r3XGDcnbb7/9nLiVW2ZJE7cEYeIWPQx02efHnUfqEvqOKSdI7rGB0i/QVq6kTdyiwsStEhO3qkQhbtw84pzPKSSMIJGP77hCSZu4sdR+ayXsmfQoaaawYorPn6+/UG5V1ld4T3z9ubB0OZF5a4jM1jFufXy9pshPy5u4lSreeOMNJ2kkI+nZs6dL/X/77bdXETcSlLD/7brrrpMjjzxS3nnnHdvjVhsmbtFj4hY9DO6QlVOURzJt5Qz1DklLHta+xzRj4laBiVslJm5ViULcvlD6KhcptylhZhGGtInb18obytRAW9JhBctoJeykQ2GI2+RNRC7sLHLIwPo5/Qn9nGxj4laqmDp1qvTr10+aNWsmLVq0kB49esh5553n9r2xNLJ3796urht9iNs999zjhK7cwsQtQZi4xQNF5Lmjyb4xX79RniDyJD2ZE2grR0zcKmEAjQRFtTcobKIUNzLEPqhwg+OZTFtYICuHKycqYSUoyxKVuLEf/1mFm1++fqN4whC393cU2eZjGb+FyFOn1M5H2+rh//xCZOg+Jm6lCmbO5syZ45ZBnnrqqe6H8O9//1u22mor+c9//iPbbrutbL311rLTTjvJfffd55ZIlttsG2HiliBM3OLBxM3wwUCX4thhL9VKGyZulfCZoIxBWj4TUYob7+seCsXCwz53GsUNif2rYsvMoyNEcbvrCpHlltZOy1v0cBO30gcFtSdOnCiDBg1ys2ydOnWSBx54QB588EHp3LmzdO3aVfr06SOffPJJ5hHlFyZuBULNGQY2bCT29RcCGQNZ18570S3TlmSYmWBfQivlKoWBk++4QuEOL8tnqHnk6y8UEzcjbti7Q3IZ0r+HPegNm7SKG+8xNeK4oeTrLweiFDeKhvP+8j77+oshjeL2gEK9Tup2+vqN4glR3Npf5e39nZtb6X9M3OIPko34QOAWLlwo06ZNkylTprglkV999ZXb9/bTTz/9fpzNuFX/KAcwcavKQGUdJczMT8AXL8/5zkBb0mHP2AlK2KnqyXRIxsMugbYwMHGLnoXKSCXmbGCJhT2EhyinKszg+I4pBb8uo9fKLUSG/beSx5VNlEaBtiwz1/WfJxcQCa7L3PRK0nvQkECArlAY8Cb9BkEQEzfDh4lb6MFrTVQgYdnU/0HIKEmx7W+//VYWLVrk4O8kKMkeg9whb+UWJm4FEpW4MaBhkDcv0JZ0uAPLOv+wNyabuKUX7s7vpqQpM1qUJFXcflxB5JIHRDb8vJK/K8srqwbasvQ4zX+eXGBAfrFyjoLY+44xioOlvrMVRMjXn1RM3AwfJm6hB681EYGwLViwwCUjueuuu/Lm7rvvdnvhkJhyCxO3AolK3KKEzF2PK1EsdYmCtInbj0rPDPzdd0y5MFhZT2kTaAsDPrt8hvks+/qTSlLF7Yc/iZzUSyZtqpeya0RuaennmRNFfv6jPqRTk5rnyBWKTjdSjlDCLE6fRsikeI9C8hNff7kRpbixnYHvkLCTDpm4RY+JW+jBa01EMJv25Zdfyo033ij777+/g7pse++9t0tCsuOOO8o+++zj2oL9e+21l+ywww6y8847yzHHHCPvvvtu5ozlEzmL22MKd62GBNrCJGxx+0w5ViHhh6+/WNIobmcp1DBLy/K1qMSN1MWHKu0CbWGwSDlG4XPH333HFAoDXWY10yKEUYkbn919lbMDbWkgCnFbrFBQt5jPWkbcXvqfyJpfe49wNHpWvWsl/YuJWziwb/dfCllMff3lRpTiFhVpE7efFbZipGk21sQt9OC1JiLICMlSx08//dTVYoM333xTnnvuOTnuuOPkkksukVdffVWGDx/+ez/FtqnvRnmA5s2by2OPPebkr9wiZ3GbrrBnJaov3LDFjUHCGAWB8/UXi4lb9EQlbhTe/kBh0OvrL5QoxY0MZmcopKD29ScNE7eqRCFuQxUSUfQJtOWLiVtpMHGriolb9DCGa6Kkaf+8iVvowWtNVCBwS5cudYwdO9aJ2R133CHPP/+8fPPNN07usv3sa0PUqOfGUkmKc0+aNClzpuQG+/JIsvLBBx/I22+/LW+99ZZ8/PHHMn369IL26OUsblETtriFyberiAw4QuTh8yu5TFlVOT7QBt3O1Df1n/7zlBoTt2iJUtxY1rmNEnYCGDKBdlXCLjpt4laVKMStt7KyUsw+QhO30mDiVhUTt0pYWdFDCXssNFnZU7kg0BYW3ER6UWEVgK+/UEIUt1cPFjn/4dp54Sg93MSttPH444+72bSRI0c62akrmG1jWeWIESMyLckMsl5SWPzll1+WNm3ayOWXX+5mCzt06OBmFEnCkq+8mbjlwNR/ifx3mEvA9tPytfPLsnr4X74R6XtMzXMkARO3aEmjuHVWeI95r339hZJGcUOoWE4Uds0uEkZ8pRymMGtq4pY+ceNnBmF9NkzcqkIyrqOVU5RyFzf25P1NCXs1T5Tidqayv8J1ztdfKGGI2wc7iOz4vsjyP1WynPJ/mT+D7ZtMFhm+t4lbqYJkI6effrpbFskeuLqCGm8HHHCADB061M3GJTHIgkm9uUceeUSuu+466dKlizz55JPSo0cPadu2rRM5+saPH595RG5h4pYDGXF7fT+Rxj1r5/Gz9HATt/AwcavExK2CKMWNGmu3KGEnMXhBYWBzn/KOEtbg38QtHhBvBum3KWFlwzRxqwp7d3lPyEbL++07JmmYuFWSZHFbsLq+p4eK9GxcyaXKH5XzA23Q/0i9/q9t4laqeOKJJ9yMG/vcJk+e7JZRVq/TRjbKmTNnyn333ScHH3yw2/f2888/Z3qTFSzrZBaRBCwtWrRwRcVZIvnRRx/JU089JbfccoucddZZMmDAADfDmOvMW2LEjQHkJcrUQFtSyIjbo+d6e3+n2f36HxO38DBxq8TErYIoxe18ZS8l7GWjtyvsh2VfrK+/UEzcKmHv53AlijIDzLSxxPVghSWvvmPyJY3iRv09ipuHvRwurZi4VZJkcfNB5ucVlFrGFiZuJQqWDjIzdemllzqxYU8b8haMefPmuf1vzZo1c+LGfrEkFuHmOZHx8sQTT5R27dq5vW3z5893kol8UpeO5ZOHH364dOzY0SVpYT9fLpEYcSNhBF/mYS0jChMTt9Jg4laJiVsFJm6VmLhVwudsDyXs3w8wcavgGoXlvgiAr7/cMHGrxMQtNcErTGwwQ4XMXH311W4fGEsJ2QvG7Nr999/v6re1bNlSzj//fDeD1b17d/nqq68yj05OIG1z586Vvn37uuWcnTp1cv8fnBlkdm3UqFFy0UUXya233uo+bAsXLsz01h2JEbckE6e4sdafgdhzgbawiErcGKRzgQ37C71cxW3kriJXta/KzsqayumBNuh+RkURZd95csHErZIyFjcucR2bisu85oMVREXXcWP/YH+FzwQ3IpAX33GF0ELZXCHzsa+/GNIkblx3uF4+rYS9V5OMhBTV/zTQVs6YuFUSlbixtJzPc9jnNXFLbiA4nTt3lgsvvFAOO+wwOeqoo1x5gOOPP16OPPJI+d///uf+zt4wRCeJyySRMmbQeI7UnmNfmy8mTJggd955p9xwww1OTOfMmZPpqTuy4ta8+boyceIKVViwgGwbNT/UZUec4kb5AgaPDCJ9/YXA8iFql1GM/BxlpuI7rlAYiHFXLOwaf+Uqbg+fL7/9Qb+r1hf5eBs/n2yp/8SqevjxvUW+W7nmOXLFxK2SchQ3pJ8bANt8XMmmyp+UNQNtWajE7TtPPgxQ/qrcHWgrFhO3CqjTRYmI05RfM21hkVZx4/sOafkh0BYGJm6VRCVuUZERt9mtl6sx7oWOHdcwcStVIGKzZs2ScePGuYyRgwcPlldeecXNxLFHjFpvlA3gGJKSJHGZJOL24YcfOgFlqSQzb75gtrBXr17SqlUrV9qA15RLZMVt1103lmOO+WcVXniBkWHgw16upF3cSNO7k8IXzSTlJ8V3XKGYuFUQorgxu3Fdu4pkWD72GeqyFpu4hUk5ihupcrm+kTI7Sy9lM+XUQFuWr9f0nycfTNxM3OKkvUK2yrBXhJi4VZJSceu0/V9rjHth333/ZeJW6kDgSNjBnrbZs2c7qeHvtFXf95a0QNxGjx7txO3ss8+WF198MdNTNWbMmCH9+/eX1q1bu2Wh+YrbkUf+U267ba0qvPsumxoyH3T2DjDIS2LyEB/soeCXM4y10WkXtyeUZZTHA21hkjZxI2sgdXJIZuDrL5QQxY3yEmQq9fQ6VluYqTtj4hYe5ShuPsjsu71yeaAtTEzcTNzipLmyo/JxoC0M+P64Vgn7vCZu0ZMRt5ePWaXGuBfOPns9E7dSBEk7EDMSd+QC6faTWAogKG7sx2O20BeIGx8yZtzY50a2zFwi5z1udylrKHzp+vqTxnhlF4Xlgb7+fMiIW4/TRFZfUDvX3KGHm7iFB3cyGfB2C7SFwXvK1gr7bHz9hWLiVomJWyX3Kv9Wwv79MHGrxMStgrSI25IVK9K05wLH+s6RK1GJW1SYuEVPH4X3uJaxhe1xK1G8/vrrLkU+WSVJ2lEXTZo0kWuvvdbVSUtaIG5jxoyRBx980GWNfOaZZzI9VaPYpZImbnWQEbcvN6gYLNcGe49M3EKEQQjLPL8ItIWBiVslJm6VRCVuDJheVcKuD2fiVomJWwVpETeWrxylg+JcePJU/zlyxcStAhO3SqYrXIdqGVuYuJUohgwZ8ru4IWZZsrJ23nnnZfZ27epKAZB5krpoSQv23U2dOtUVCd97773lsccekx9//NEJXTAmTZokDzzwgJtte+ihh1xillzCxC0H5qwtclNrkROeq58zuou8u4v/PLlg4hY9Jm6VRCVuDJIYIHBn09dfKGkUt6hIq7jx+0eG2zC/S0zcKkiLuF1+tyxcTWTQgSLPneDn9f0yl7Ybb635+HwwcavAxC1nTNxKFIsXL3byQnZF9rVlYSaKZYSIzksvvSSNGzd2ZQEoZM2SySTG999/75Kq7Lnnnq6cQfVyAAQJTK644gpX561fv37hlwMoZ3EjxR9psxf/uX4odvRLEdk4Tdyix8StkqjE7ReFul2kgPf1F4qJWyVpFbcoPhsmbhWkSNw+2lZP947Inxf72X+Ifh1urIebuIWDiVvOmLiVKEg6wj43H8xYsf9t2rRp8tprr7mZqptvvtml1E9isPcOMWNWkBk1Mkt+/fXXbjaOmTeElDZKHXTp0kUmTpzoXmMuUXJx42J6pRL2oD9McYuTKMRtovKQEtWmchO3CsjWyZcuFJO5syGIW1RQqP8FJeyCrGDiVkHU4hYFaRM3UtQ/qYwOtIVBisTtw+1Fthvj7XXs8ZbIpE31L4WKG59jxhbUGKUuathF36PCxK3kmLglPBCfrl27uhppw4cPr7EEMSlB8pFnn33Wzaixj+2NN96Q8ePHO9lEPqnddsYZZ7hZxB9++CHn11FyceuvrK7cE2gLAxO3+DBxCxcVN8oBMF7hjrSPAweJDN9bDy83cYuStIkb8kpBfQTO118oJm5ViULcouJrpZnC997bylzFd1whpE3cuMHD2ILkQL7+pEHBdOSKlTHIN5mPfccVyjQFaWsXaAuLqMSNvWgfKMWsYCkAE7cURPfu3eXAAw90CU1ynamKO5gppIRB79695corr5SzzjrL7dNjFu6cc85xhbdfffVVN4uYj3yauCUME7foSYG4sTp35ro6Rvq3n8mbZHzNxC080iZu3yrUZaTAvq+/UEzcqpImceO5MkDn95r3I8w9piZu0cLP7grlZIXPcdgzhCxNZqn57EBbWEQlbp2UfZQofq/rwMStRJFdDlkbpP9n/9v777/vZrAOOOAAGTp0aCJLAmSDpZEsg6SW2+OPP+4SlfTo0cOJ58CBA93evSVLlmSOzi1M3BKGiVv0JF3cRv9H5IY2ufHUKeLWVfrOkwujlFuUtOz/iJK0iVtUmLhVJU3iloXZGvY1dw20FYuJW7Sw9/MZhRT1LAn3HZNUmPV/TPkm0BYGLHNlbBHF0vg6MHErUSBl48aNc5kiSTxSHVLsI2p33XWXnHvuuXL88cfLqFGjMo9OfjCrRoISX4bJfKLBihtLDo5Q2JjMuv8liu+4pGHiFj1JFzejNPB5ILEMd6V9/eWCiVtVEDeWH56ihLn0MEpM3KIXN+QqTWOLNGLiFnrwChMbzEBdddVVbhnhaaed5uXUU0+VE0880SX8QOJYipiWYPYtm5yEPwuNBituixVmE9jgi8CNUHzHJQ0Tt+gxcTN8TFD4bJT7QMzErSrsPRqnfKgUk3QoTkzcohe3fsqRSlrGFmnExC304BUmNt5++2255557XC2366+/3guZJNu2bev2hlE+gEyU5RYNVtyykHFtFSXselLcaWNZw9hAWxiYuFXyucIAhKyYvv5CMXEz4oRrBNcKrhm+/qSRRnF7VrlOKfdlrlmiEDeW8LVWwlguquL25QYVTnZmNz+33igym2FJUsXtAWVV5flAmxEuUYnbVKWOsYWJm0Wiw8StQAYq6yhhp+w1cauEhBkkzugSaAsDEzcjTm5XuFZwzfD1J400iptRlSjELUxU3HzNXkzcypeoxK2nsoJSy9jCxK1EQZIOCmrnkmyEGmkk+Pjyyy+LWnaYxjBxK5CoxI1McdRxIZWzrz+JkNiCOjlhb9w3cUsvnyiXKfx++/rLCRO3qrDk8GIlLe9HGmHmsbvCXm9ff6kZtbNItzMr6ahsp+yiPJJpy/LBDv5z1IeJW/oxcQs9eIWJjcmTJ8tbb73lClXXJ2/9+vVze+FGjx6d6KySUUTO4sbAnL1ipBlmoB5WcU8Tt+hBqJgNo+irrz9pkLZ4jMIX4yHKi4rvuEKJStxIYsCgF/i775hyYbCynsJsrK+/UH5Q3lfIGuvrTyJpEzcG/dR7IhW3r79YuPn3V+XuQFu5QQmHtxSWbPn6yw3qzx2unKiEtceUm59HK2F/92cxcYseE7fQg1eY2OjVq5dcfvnlLlMkqf/rip49e8oxxxwjw4YNc8WryylyFjcyKLFB+yTlQoUBlO+4fDFxix5S9W6gsA/E15805ilnKGcpDCJJNOM7rlCiEjd+R85Vzsv83XdMuRCVuFGQtZFCvSNffxJJm7hx44RaT2HXh8ti4laRRGV3pZzfgyBRiBtjFPaVRnUtNnGLHhO30INXmJhgiSOp/6lxhrRdcsklcsghh8htt93map4hZ9V56qmnpGvXrtK0adNU1HGLInIWN+CCyiZ7JCisGYWoxY1BensljExYQdIkbk8o7Hd4PNCWZEi5/T+FmwRh3SAIwgzkwwpy4esvlEXKMQop5fm775hCYfns/UpaElxEJW6k6t9XOTvQlnSiEjdupLVSYi5OWzQmbiLDlH8pLQNt5UwU4hY1aRM3bogiKn0DbUnHxC304BUmJkiL/8wzz0jz5s2lcePGstdee8k222wjhx9+uJxwwgleqN125JFHymGHHebKArBUstwiL3GLgqjFLSpM3KIjanGLiijFjdnBbRSWCfr684VZFSSImRVff7GYuFUSlbgxk76ywqoCX39SMXEzcauOiVtF2Qm2M0xTKMbtO6YY2O+4p8IyaF9/IfA9x03xsL/vspi4hR68wsQE4tanTx+58sornYTtueeeTtyQsuOOO87LySefLJdeeql06dLFSdvChQszZyufMHErEBO36DBxq0nY4sbggMylSIWvv1hM3CoxcauKiZuJW3VM3CpWMd2kkNRpfqYtTKIQt5cVlvy+FGgLExO30INXmJhgqSTZIZG3Rx55RM4//3w56KCD5IYbbpD7779fOnfuXAOWSZKYZOzYsfLjjz86+Su3MHErEBO36DBxq0nY4saX+B4K+1V9/cWSVnHjjveTCsX7ff2FEJW4faAwyGNwg8RFtSctbNImbiTi4vPM8/4+01YsJm5VYR/ag8ojCqsBfMckjbDFjdd9snKoEsVKiCjEjcylf1Co8efrL5awxY2bAiQ7a6eQ2baW4ukmbjEG8paVL/avsc+NQtzMpNFeH+VWCoAoubhxx+YfSpruGv+o8CXOF28ahNPELR5M3CpJq7jxRb6RckugrViiErcsTZVdlAmBtiQThbj9pDAoCyvbcRBmQk5VDlbCKnmSRnGL8j1OIyZu6RM3xhaHKY0VxnG+YxQTtxhj7ty5MmvWLPnll1/ko48+cm/6mDFjZOrUqTJt2rQ6mTFjRtlllCRKLm7c4abeyqRAW5Jh7Tl1YS5RKHIadtKTKDBxiwcTt0pM3CoxcatKFOL2lHKpEsX3iIlbBSR0aqGkJUFS1Ji4mbilMHiFiQgyQS5evNhlhRw0aJArvj1hwgQZMGCAPPfccy7LZF2Q1IQfENJXblFycUsbXFxPUagvFnbBaWApzpsKtcB8/YUQtbgxWBqksE/B158vJm41SZu4UYePcg5kPeRLd4HiOy5fTNxqYuJWIRSbK1Fk2EyjuLGHlff5q0BbsTRRdlPScLMyDkzcohc3sphzrad2sK8/X0zc3CtMRCBtn3/+udx4441yzTXXyPz58520XXzxxS5zJJkl6+O0006T999/P3PG8gkTtzyJWtwoyMqFpXmgrViiFre7FOqiDQ+0FYOJW03SJm4Mdr9RblD+o4xWfMfli4lbTUzcTNyqw4B3DYWZSF9/IZi4VcXELXpx4/uf7xF+B339+WLi5l5hIuLnn3+Wb775RkaMGOFm3Vjy+Nlnn7nZN5KP9O7du16o/zZ79uzMGcsnTNzyJGpx+0zZSyHjn6+/EKIWN5bDsZxhSKCtGEzcapI2ccuCuG2mvBNoKwYTt5qEKW79FBIuUejc1x8GJm7RixvL+Lnmdw20FUuSxW3O2vp5ulzksnvq58ZbRcZv4T9PPpi4RS9uYWPi5l6hRcojL3HjCwyxYFYoLRuU+UVl2VZYGddM3GqSNnFjOep4JezBqYlbTUzc0iVuVyrbKh8G2sLGxM3ELWwmbC6y60iZu5ZeInesnen/0MPXniPy8mE1z5EvvZS9lbD2X5m4RY+Jm3uFFimPvMQN+WGQwJd7HR/6REG9jl0VkiX4+vPFxK0maRO3TxTkiiWevv5CMXGriYmbiVt1TNxM3MImI269TtLL5Me10+FKPTwscZun8F0S1rXexC16TNzcK0xUfPfddzJv3ryCWLBggVtyWW6Rl7hxoTpCaaSQFth3TNKgzMAqSp9AWzGQVZJ9A2TY+jbTFiYmbiKLlUcVBh9hrW0P8p7CnjxkyNdfKCZuNTFxq7gjT5KWqAa8Jm4mbtUpU3F78GJv7+9c1V7/E5a4hY2JW/QwtqBWYD1jCxO3GIL6a7/88otMnjxZRo4cWRAkJmGfXLmFiVvCMHGLHhO3+MStrbK7wnvu68+XNIpb1KRN3F5TkPnOgbZiMXGrStrEja0XJKGA3zJt+WDiVj8mbjlj4hZDkP6fVP6dO3eWpk2b5g2Fulu0aCHjx4/PnLF8wsQtYZi4RY+JW3ziNlFhkBrWHlMTt5qkTdzmKJQP+TzQViwmblVJm7hxvbxZ4UYPhb59x9SFiVv9mLjljIlbDEEWyTlz5riabK1bt86bW2+9Ve6++26XibLcouTiRjFPpIoBnq+/WEzcKtL084UwNNAWJiZuFfA70UFh71zYNzaKFbd3dxHp2biSe5XNlAMCbVk+/bf/HEmAWoEsO3wo0BYmJm7Ri1sUpE3cSI7UTOkdaAuTtIkbv9eHKycqhVw7Tdzqx8QtZ0zcYorsckmKcRcK5yi3KLm4vaj8Tbk/0BYmJm4Vy1C4ixlVJlATt0oY5NWxdr5gihW38x4RWf6nSv6o/EFZJtCW5Z7L/OdIAiyjiuo9BhM3E7fqRCFufI4ZqLNn2tdfLCZuXkzcFBO3ejFxS0CQtGTq1Knuh8Byyk6dOrm6bWPHjnX72pC2co2Si1t/ZXXlnkBbmJi4RY+JW/QwIOXuPAMcX399nN3VTaRde7t+tB72c38zvVaurIe71Guec5QDaRS3NxXqr4WxHNXErSZRiFvUmLh5KWtxYzkq4y1W4Pj6CyEOcVugsJIlqq0eHkzcShgsofz000/l9ddflyeffFIuvfRSOfbYY+Xoo4+WK6+8Urp06SKvvvqq29u2cOFCyypZ7cNbAxO36DFxi540iluxqLi9vp/IBl96ex2Hv6jjpzX1LyZu6RK3MDFxq4mJWwUpELfnj9WvzxG107GpHp5UceNzxp5HfgfnZ9qSzisKtez409cfBl8p+ylnBdoixsStRMGyR6Tksssuk4MPPlj2228/OfDAA93fDz30UMchhxwi+++/v1x//fUyfPhwVxag3MLELWGYuEWPiZsXEzfFxM3ErTombhWkQNwWrSoyZaPambeGHp5UcWP5LIl7+IxFtYQ2bL5TpihRlEbKYuIWavAKExsfffSRPPzww3LuuedKs2bN5MEHH5RHH31UunfvLk888YQ8/vjj0rFjR7npppvkiiuukBtuuMGySlb78NYg6eLGlfmuK0Ra3lLJ4coKykmBNnj4fL1Iru0/TykxcYseEzcvJm4KWSvvVai95utv6Ji41YS9wSxTJjsvA1XfMUmj3MSNCxff6be0rKSx8ifl0EAb3Hm1yKRN/efJF4o4P6P0yvzdd4xRHCZuoQavMLGBnDVu3FiuvfZaeeWVVzKtVeP777+XCRMmuKySe++9t5t1K7cEJQ1K3F47SOTvM2TB6iKfb1g73JWTnd4TGbt1zXPUB3fFqL7PGvQo7op9oZygkHCAv1Mw0ndckghb3HhfeX95nwup6VMfJm5eTNwigtpUDD7CumZGSVrF7Q7lACVtzzsqohA3iulT6oQZFl9/MbCPiRIfDM4RwzBmcF5QGFtwI8bXHwbsG+M9oQwMv+e+Y4ziCFPcchxbmLiVKJhtQ9z69u0rX36poxVPkIVy8eLF8sgjj7hlk2+88Yb89NNPmd7yiIYobp0vFPnvsNrpfbweXqi4sWymtRLVOvQflDEKKeUZiKRhFitscSPJwjUKy9UKqelTHyZuXkzcIuIphYHdu4G2pJJWcZuqjFaiXLKVJqIQN7IS8rmI4gYEiTnGKg8q+ytIl++4fDBxaxiEKW6MLfjeZy8hnznfMYqJW4ni6aeflosvvtjNtk2fPj3TWjWYXfv111/d7Nxhhx0mw4YNK7sEJQ1R3K5r5+39nfsu1f8UKm78sp+iHKJEud+BAq0UR07DYI+SDlcpYaQjB+6G/U85SUFkfccUg4mbl0jEjff6OYW9G77+cuB2ZR1lYKAtqcQhbgzEEAsG6r5+o3jeUc5TyDjq608qLDtcUekcaCsUE7eGQZjixtjiMKWxUsfSVhO3EsWQIUPkjjvucFL2wQcfOEFD1IIw47ZkyRJ57LHHXLKSt99++/e+cgkTN98RdRCXuIUJSwKYKYxi2WEUpFHc2AeT5PdYxe2NfUX+NVVkuaV+jtLvqNDFjeVVmykMJH39+ZD097g2whS3X5fR92C53PhlWf856oLfiR0UZv19/WEwQPmrcnegrdzgM8yyrahqa6aVMMWNz9laSlQ1YsHELXpM3EINXmFi4/PPP3ezbR06dJAHHnjA1W0j+cisWbMckydPdksj2d/Wtm1b6dGjh3z88ce/9yN05RAmbr4j6iCN4kamPLKiMYvn608aaRS3V5VzFZZr+fpLjYrbbP0V73e0yFOn+Bm6j36XraCHJ1XcnleaKeMDbWkgTHF75VC9/jyVG52aqCD8wX+e2vhAeUlhz5GvPwxM3CpWJzRX0pLtOC7CFLfpCrP9USRTyWLiFj0mbqEGrzCxQcHtfv36udptZJa8+uqr3b63559/3tGtWzdp3bq1KxNw0UUXybPPPit9+vT5vR/JY/8bM3UNOfISNy5SNynsaQpr75GJW/SQDY39DjEWsCyKqMVtknKB8kigrVi4q7uq0jfQFjZktHtbKWRJKtlWDxmYG24TqOcchRCmuLG3dAPljUBbGghT3O5t7ibTPthBT3eIH2ZWXdrz05+omKHznaeUmLhV3ET7l8JeG19/uRKmuMVBmsTte4WtF+MCbWnAxC3U4BUmNnjDzz//fLcEcp999nGCVr2G2wEHHCB77rmn7Lvvvr+3ZyFhCbNyDT1ZSV7ixrIONndygQpruZKJW/SYuFWFnyGzx2Gm9o5D3JhpOlC5MdCWK6RSZcotF75fyX+OQjBxC13cvvmLyJndRP4228+2H1XMnpq4JRgTNz8mbtFBAh9WTLGP1defVEzcQg1eYWLj008/lQEDBkivXr3kySefzJv3339f5s+f7/bBNeTIS9yiwMQtekzcoicOcftY2VFhiZWvPx8QVzK4Rb1Uy8QtdHFbuJrI0f28vQ69BLpLoYlbQmH53vVKO+WtTJtRQTmLG3seyUD7qBJFvUCygu6psNrE118I7ytkgGb7ga8/DEzcQg1eoUXKoyGK292Xi2w1rnaePFUPN3FLLiZufsIUN77E91DIXOrrD4u0iRvLiVhKG2YWTBO3qqRN3FhdMk2hribJcXzH5AN7Yf+rMAPi6y9n+B3hGvdsoC3JhClujC1OVg5VqDXmO6YYvlROUy5VPlHCmCHsrvxB6RZoK5aZ64qM26qSwcouyjGBtiwum5bnHLVh4uZeoUXKoyGK2/R/iLy3U+3MWVsPN3FLLiZufkzcohc30uAfpYR5x9/ErSppEzdmQvgcN1WYqfYdkw8mbrVDUhwS5HwdaEsyaRI3RIVELYy1dlNeU3zH5UMU4ta2RcX4LMs2yirKGoG2LF3P9p+jNkzc3CtMRVCb7bvvvpNvv/1WFi1a5IW+pUuXZh5RPlFycaOWz7VKGIOxT/8tcuOtIpfeVz/tr6q4s+M7T12YuEWPiZsfE7foxY0MrBspFH/39ReCiVtVwhQ3llE9pkSZzZVZNrLyHqyEcc1Pq7i9rrCUMcqMo2kjTeKWpYuygtIr0FYoUYjbRQ+5oVn3Myq2tfjoe4zIdyvr4bddX/PxdWHi5l5hYoNabIjY999/L7Nnz5aJEye6TJGffPKJF/qRuyiCzJQ8lx9//FF++OEHB38vRBSrn4uyBfwdOS2kBl3JxS1txCVuZO3ki4B/z9efD1GLGxfAb5UwlhGBiZsfE7d0iRszNexVYS/TpspgxXdcPpi4VWWQ8nelbaAtbNIobnxv8P0RRvZnzoWgMON4gMJSYt9x5YiJWyTi9tYeesmc5O11HDhI3MoqE7f8g1eY2GAW7aOPPnJ12i688EI577zz5IILLnB/rw7lAK655honcFHEnDlz5L333nOJUshWCXwgqBuXLQyeayCho0ePlmeeecadp0uXLtKzZ0958803ZcGCBXlnwTRxy5O4xI26YCcowwNthRK1uLEfgcEIYuHrzxcTNz8mbukSN97jSxSygDLbFsa+ORO3qpi4+RmqIBNh3CwggcqJCjPHfB9FkTgjrZi4mbilLHiFiQ2kjbpt55xzjpx++unSvHlzueKKK+Sqq67y0qpVK5eJMsxgJmzu3LkyePBg6dy5s9x1111yxx13SLt27dyfTzzxhMteOW/evMwjag9m1qZNmyavvvqqPPjgg9K+fXt3HoqH8ydtffv2dSUMsrNvuYSJW57EJW4PK1xcewbaCiVqcaOu3/rKkEBbMZi4+TFxS5e4sXxvS4Wl4L7+QlBxW/xnkXbXiRzXx8+5j4qM2U4PL0Tc+Iwx2C92EFoXJm7Ri1sPhWt+10BboZAFcyWlU6AtDcxU+Kx9FmgLGxM3E7eUBa8wsdG1a1c58cQT5e6773azURTTBpZO+kCMfgk59T/SNmzYMGnRooWcccYZ8vTTTzuJGzhwoLRs2VKaNm0ql19+ubz77ruZR9QeM2bM0A9Tb3f8ySefLI8++qi8/PLLTuQ6duwozZo1kwMPPFCeeuopWbhwYc6vxcQtT0zcamLiZuJWGyZuoYvbb38QWbKiyLer+GHvxy/L6uGFiBtp6klcENbsuQ8TNxO3OHhJ4Xspyudt4mbilrLgFSY2mG1r3Lix9O/fX6ZPn55pjS+Y8WLW77rrrpPWrVtLt27d3FJMBIyZs3feeUc6deokxx9/vFv2OGvWrFr3vHGuDz/8UJo0aaKCdbMTQJZZfvXVV+61jR07Vnr06CGNGjVyM3FvvfWWk9RcIi9xW6w8pFBnhIuM75ikQaHTKxSyxfn68yVN4kaxdISCwVhHZYLiO65Y0ipuDPoYVJMa2defDyZufkzcwhW3j7bV3+WmVfmv8k/lpkAbDDpQvzzU8nznqQ2K826rhHW99GHiZuIWBy8oZKy+N9AWNuwhfDlDsfsJTdwqMHGLNHiFiY1nn33WLY0cMmSIk6I4A9FiBu+VV16RAw44QO6//3757LPP3NLJbDAjxnM7+uij3awgs248xhfsgxs1apSceuqpbiaR11N9LxtLLv+/vfOAt3NI//ifVZe11mIttrDsWp21OqsH0Xsvq5cIghAtEQkJEaKGKCGihMhKJCJ6iQgi0pQ0REghBVHD/J/v3HOS957Muae973tmznl+n883ZeY9773nnrnzzm/mmWfOPvtsc9lll9lVNw4PL0YlGTdSIXPy/qHCt5ky38Gw/EaI66BhHuKXC5yFEkdq6HzEYdw+FXYTjhV+zpQlAYMDBjUMFiZmyiqBrGXnChjOODbX56OzsKowKFJWLmrc3NSzcRsnMPlwc6QsCUgasaUQx8SMGrdFUeOmxi0N1Lg1kKRxY2zB85PnUhNjCzVuVRJZIvv162dXtTBIaQpTNmnSJHP33XebbbbZxq6GYdqi+874NwlL2F93+eWX2/1uc+bMydQ2Ftdi1p566inz3nvvOfewsbrXunVr06ZNGxtGOXPmzExN01LjViIcxjpV4DBLHuiua+IgJOPGmTsMeNnAfnGmrBLIxkeab75/ft6ua+JAjZsat1ziNG6sFjOREedh3i7UuKlxy0WNmxq3fNSzcStybKHGrUoiqyTJRlh9IjEIZgZzxP8JNcyFxB6fffZZ5tWViZBHjBQJQ5o1a2bv7RLmkmtYJWNVLt8qWXYFj7BIzpvLFUaOfXzHH3+8zaKJwctnAnOVNW6HHPJn+Tmt1Ih3311Grog0aDVu6RGScQM6w12E4yNlvqPGLXnjRnbU6wXah6u+FEIzbmkRmnHj++SzfDVSVi5q3NyEatxoG9cJcbQ/NW5uAjBuH/9ZHhutjLmko5seJ8kYfwW5vFTjlsNLLy23yLgXWrRYXY1bNUQoIUZswIABNtX/tttua/bcc09zwAEHWA488MBGkH1yxIgRmVdXJowUoY8kDSG8kWQkLrFHDVNHopLOnTsXlV0yV6zusbr2+OOPmz322MMaQAwrZ7wVo6xx22STdcz226/diIcf/q1cEWnocRo3ZjtYtv5SSNJU1LNxY5BBqFYLQY3bosRp3DgEmJWlOO6VjxCNW5x0Ff4tDI2UxY0at+SNW5ykZdz4GZOEgt/BStPhs+eaexG14aqPg1CNGwd8LyvcESkrFzVubnw3bq2vld/pqcXRrYX7HkXSufMqi4x7YYst1lHjVg2NHDnSnnF2wgkn2DPcOnToYPeHsfctlz59+pj+/fvHthcO4zZs2DAbpokhHDJkSKamsTBuhHNeeeWV5tprry3ZuGHaWFnjPZC05Mwzz7QmkYPE2RdXjLLG7dRT1zCvvfbrRkyduqRcEWnocRo3woiYdWW/WJLnwtSzcWPz7dvCaCHJkEOod+PG+39eYPOzqz4O6t24EXbIOVJM+Ljq40CNmxq3XOg76UPpk8keWOmAl2RIJK5JMmpFjZsat3z4btzG/bPhIMpimLSW+x5FMmHCUouMe+Haa1dR41YN8QMnWcc555xjbr75ZjN06FC7EoVZckEYYrGrVFmx0vXCCy9YswTPPPOM/RqESnJINituHElA6KJLH3/8sTWNGLdSVtwwZXyvH374oc2aiSklcyUHfJMEpRRVbY8bGSo5YHpfIcmBWD0btzSpd+OWBvyMOcyZQZmrvhRCNG5pEKJxY9DE98u5Va76UlDjlh/CflcTOIjaVe8T9WzcWCHlAPIuwokCn5vrOt9Iy7gxwcjPZVikrFySMG65zBOeETgI3lWfALrHrUpiXxvHAbD3i31huck84hDhkGSF3HHHHS0777yzNYkYN9L333jjjWa77bazK2IuTZw40fTs2dMat65duxadCZIVvWnTptkjBvj6F154oQ2VzM00WYzUuHmKGrfkCc24ASGvcayeqnFzE6Jxoz3EFQqtxi0/atzc9XESh3EjgoexxX4CY5ako03iIi3jlu0v4vi5pGHcsmMLzKarPgHUuFVJnI3GcQCELBabqKNUseLGgdqsqAHp/8eNG2dXxAi7JBHKVlttZbNLYh4JbYyKBCaYNlbMHnroIZtQpZCmT59uz4DD6PE6VvXImokBKzY8Mio1bp6ixi15QjRuccHBsQOEFGcxgyBE4xYnatzyo8bNXR8ncRm3gwWMW5Jji7jBTLFSyOpSkmG0cTJBuFdgItBVHweMLXYWToiUJYwatyqJQ6g5hBtDxQHVmCLCC1mtykc5xsclVvdI/4+hat68uT2njQOz582bt6Cef2P6jjvuOJtQhO+XzJEcnM1qGuGb0dBJvncO7yY0k9VEjhHAtLGyN3v27MxVpUuNm6eocUueejZuihv2EXLAPoMRV32to8YtP+xLwxCE0Cfzc6E/JqHPCIE95a7rikGNW34Iy2T/I/0G/3Zdo1SGGrdYxTv0ViTowLC1a9fO3HTTTfaA6qwZcjFr1ixr3uIS5mzs2LF2VYxz2khUgiGjnK/DXrS77rrL/Oc//7GrbXx9VuTYt0ZjIbFK9Py5KVOm2BW8Sy65xLRs2dIMHDjQTJ482Rq6SgynGjdPUeOWPGrclFxI6MM5jXMiZfWEGrf8YH44YoXVale9T/B8JWvl6QLna/J9u64rBjVu+eFrnSKcLHyVKVPiRY1brOIdeitS+7Pf7JBDDrEJQjicmgQeZG90wbUcmh2n2LOWzS7JWW18DfalYcAIdbzmmmtMp06d7PeKmcPUkUSF7+eUU06xxo4y7oOJo4wjDUj7Txhox44d7X2iYAIJpWTlrhjVvHFjlrS9cIXQS6hk5hE4wPFRgZhuOm3XNXFQz8aNtnG/QNarJGcx1bgpScJg+SYhlOQIEJpx4yw0sgZqyK8b9gXtJHwUKSuVcQLhoW9FypIiNOOGiedoB7KN1utkT9LEadwYW7Avj3bWxNhCjVuVxA/81FNPtWe07b333k2y1157mSOPPNK89dZbmVfHI0wXq2GYLg7GPvHEE+3xAC1atLDfW5cuXewKW3Rv2yuvvGJXCY855hh7ODf3YKWQBCe8l913371JuDcHjReb6KTmjRswE3aQsL8wO1NWLmwgJpSqmRDHYaz5oGPZQGAfkqveN8hox0HfF0XKyoWU+nsLnEFXqdFuCjVuyUOfwaAxyc/RV5g0Wl9oHSnznTSNG7/nrAqxyumqVyrnYoHDw1lFdtX7hho3JZc4jRt9zl7CEUIT/Y4atyppxowZ5r333rMJQNgH1hRkh2RljHDFuJVdMWM1j9BNvh/2uxFGyXEA7HUjC2VW7Ffj2jFjxtjwSEQ4JElJeC2rc03BcQQcPM4KXjFS41YiaRk3skq9LsyMlPkMneAYIY5NymrcagfODOJzpG246msZNW5Nw2okK/RJJjaod/jZ8rsXijlW46bkosYtVvEOgxP7yDBCrGJx1tqAAQNseGHv3r3tWW5JChPH18+GRfogNW4lkpZxiwN+xv2F54RQUiJDiMaNDep3C5MjZYoxlwp/F5iEcNWXAqFahDuHsnoQonF7TCC0fEqkLCnOEzYVRkbK6oEXhH6C7olalDiMGwNyJozYk8cZYK5r4kKNW/KocYtVvEPvlQ1XZFWLc84IS8SgcXA1SUMIk9xyyy3NLrvsYs98qzeVZNy+FDBAhF6EZNyYgeMXFcNZaecaknFjj81uAiGMcZ3zlAZpGTcyrv1ZIP2yq74UugkrCE9EyuKGz5CHDW3QVe8jcRq3qwQ+Lwa+rnrfSMu40R5oFyFNzkCpxu2XxeR9Li3PnmWLY/6v3PepNicJOwrsz3PV1zNxGLc0CdG4sbeL8Rv79V31vqHGLVbxDr0Whi2bXZI9Yp07d7Zp9M844wxz7LHH2n1k5557rk3q0b9/f5v1sd5UknH7QeCco6FCpb/0aRo3Oio2r78qVDroVeOWPGkZt/eF/wlxfI5pGDf2A2ECQkpVr8YteePWQ7hECGUlMkupxm3mysa0u8KYwx4pzHE9jRm2lfs+1UaNW37UuCXPswJjmFAS+qhxi1W8Q69ECCL71Ej4QaIRzjzDkJHNkaQdnJlGVsb111/fHHTQQaZt27b2oG72jpGFMfeA7HpQScYtTtI0bnFBB8JA/1zhcsH37ztE4zZRIP30mUIngckC13W+kYZx46ygzYWWkbJywLA+L6TRftW4JW/czhK2FN6LlIVAqcbt4z/LAO5588mfjOm/T35GbyiXL/+1MY8dvOg9fECNW37q2bixYs6Ze28ITZiKiiGMlIzVZG121ZcCIdUkUEsytFqNW6ziHXqlOXPm2H1r1113nTn++OPtGWlbbbWV2XbbbU2zZs3MlVdeaS6++GKz6aab2lT7X331lT302qc9Z2lLjVsJsL/mDwJHAdBh+26GQjRutwrrCpy7R4hrKOFfIRk3zrzaQhgeKUsKNW5q3PJRpnHrfaQxv/8iPxd1ksvVuIVJPRs3onk4E44tHRgM1zVxEKdx4x4rC0keW6TGLVbxDr3Q999/bw/R7tWrlz3fjBDIM888U8zIFaZbt27m3nvvNX369LHnm3GO2hZbbGEeeOCBzKvrW2rcSoCQpCWFByNlPhOicbteWEV4KlIWAiEZN1aL1xHSCJUJzbgxmL5aeDpSVi5q3JqmTON2z4nO2gWcdYv8kYRxY6X6SoFkT676YlHjlp8PBLKNvhsp85m4jduRwp4CWaVd18RBnMaNM9EWE5jMdtXHgRq3WMU79ELsYyOF/tlnn21X07bbbjtz3nnnyQ//MTN58mSbRTKrZ5991iYjUePWoKoZNzbHXiCcI9D5ua7xDd+N25Q1jXln04UMFrYSmgsjMmVZpqX8eReLGrf8qHFL3rixh3dtgQG6q74U0jJurKAyeBwocJ6i6xofCc24cZD6agKHUbvqiyU040YmZoxUKEfTpIkaNzVugYl36IU4C430/oRBbr311ta8cbB269at7Spb9Hw2NW6NVTXjxgoQB/Py8Aolu5Hvxq1DG2M2GbmQ9YXlhd8JG2fKsnQ/1X2PaqPGLT9q3NS4uWBlva/AgI/VCtc1PqLGzV3vG0OErYRHI2VKA2rc1LgFJt6hFyLNP/vbBg4caG666SZzzTXXmKuvvtr+fcstt9j9bIRLkoikQ4cOZrPNNlPjllHVjFuIpGncGKQzCCM8x1Xv4sxbzeerGXPvCcZ0Od/No4ca89Vv5PKrLl/09ZXAmUQkFak0xEyNW37UuKlxywcJDdYTyC7pqvcRNW7u+jihP8ZwVRLVQr/+a4Fz0Vz19Uxcxo1zQLsI9JcYqyTP+AvNuLHiy973OPbRqXGz79A7cQQARo7QSQ7XZq/bHnvsYVfimjdvbpOUbLTRRubOO+80s2fPtoaPFbt6TVCixq0E0jRudwp0rqV0VmLcyIC93nvOWouMe+z4J3bjxqzYLsLxkbJyUOOWHzVuatzyEZdxY+8xAyWOUHHVx4kaN3d9nJwo7CQQ3eKqL4bQjBsJrTA+mKqkk1vFZdzuEhhb9I6UJUVoxi1O1LjZd+idsgduY8Y+//xzM3LkSPPKK6/YEMm+ffuajh07mt12280ceuih1tRdcskldvVtzJgxNstkvUmNWwmoccuPGjc1bi7UuIVl3OjjSHbCsRyu+jhR4+auj5N6NG6c/dlBoL8gM7HrmrhQ46bGLTDxDoMQZu6nn36yB2y//PLL9iBu9sNx+Db74DBzZJtkn1y9qSTjFucB3GkS1wHcatzy47txm7q6mKoDjHnksMI8v7Mx3yznvk8+1Li5UeMWlnFrJWwsvBMpS4oyjdsLO7nP3M7S4yS5XI1bA/Vo3DBrBwv7CUlnrCbJ2nUZ5mXKyiE048b7flHgfR+W+bfrOt9Q42bfYVDCwM2fP9+GUnKEAGGS48ePN3fccYc9923EiBGZK+tHJRm3LwVmlzh1n19c1zU+QtjE4QLHD1QyK6bGLT++GzdO5v3DNGOW+a4wuz4rg6q13PfJhxo3N2rc1Ljlo0zjNv9Xxny3TH5+XFIuV+PWgBo39zVxwmRwJRPCEJpxIyESBoiEIYwFQ5nIV+Nm32HQYhWO8Mhx48aZ5557zsycOTNTUz8qybh9IewjcEBkaMbtIGF/gf0brmuKgXOSMFTjI2VJUa/GjbTThF98HCmLg377G7PibLugdtod+Xlle7l8h5eNmbj2ovdoCjVuburZuDFI4EDhYZGypKgH4/b18sY8ua8xd5y2kHOF3woHRMrg7v+WPvlSCDVu7nrfSNu4xUFoxm2KsKtwnJD0PsI4IYyWY1OeFZowm2rcVF5LjZun1KtxS4qMcWt5o7N2AXeeIn+ocYsPBgmsdo+JlJVLaMYtTUI0bmTNpb+oZCKMVPWrC5xl56qPEzVu7vo4YYzBJE8l6fDVuDVNPRu3IlHjpvJaatw8RY1bvKhxW0iaxo0+g0EjM52u+lJQ45afEI0bBzrTbzQRslQQNW5NE5pxI0R+Q6GU514uatyaRo1bQdS4qbxWScaNzbcPCFcIDKLeElzXFQMx4TwQ6DziGNQ1RR0ZtylrGnPTOTI2v8oNGdnm/FYuV+PmpGzjxizx1cK4SFnchGjc4gTDxh7IJAe8atzSM25xEKJxY3KH/dJxm4pXt2vo16NsJqwltIqUwYDm7nu4SNO4EVq8rHBHpKxU1Lg1jRq3gqhxU3mtkoxbFg70pHO9PVJWKpwXRLKQfYWkO9d6MW6XtTfmLx8VR7cW7nuUS70btzTgMPbmQttIWTmEatzSIFTjxj4xfv86RcpKgQgKBmMXCc2EsYLrOt8I0bglRcdLbOKWafIo/+gvbj5dw5jvl5bLT+2+6OvzocYtedI0bnyNdYX+kbJSqYZx43Nl5Zixo6s+RtS4qbyWGjdPKce4fbiusbmyi4GnuOse5aLGLXn4nWGVu9LkOGrc8hOqcaOPY9Wt3PPXSKBC/4gBIhsmgyTXdb6hxm0hYty++L0xra43ZqcX3Bzdy5jRG8rlatz8Ik3j9pnwkjA9UlYq1TBugwTCfp+JlCWEGjeV11Lj5inlGLdqosYtHPoKpKhPIztqaIRq3CqFvUUrC4Siuup9RY3bQsS4cVzl7s84ay3rjG+IqFTj5hkYqZOFNDLQxgE/184ChjMt43avwGHf90fKEkKNm8prqXHzFPZA8LBkBu7nTJnPBGLczu1qzK/m58ce3lvrxk3JD4f0sxpZaThqaKhxKwwz/WsIDFhd9dVGjVsDaRs3ns8hPKNDR41bLOIdqgKXGjdPYTWE88wuEBgozBVc1/lCIMbtzS2MeeCY/IxfRy5X41a/cPZaP4HzBF31tYoat8IQYvaYEMfRFkmgxq2BNI0be0O7ZiB5m+saJR7UuMUi3qEqcKlxK4FPBQ5u/DxSliSkyeaEf076ryQePQ3iMm5sPn5RIFW4q75chm5jzAFPNIxqsqwrLCVsFimD826QQdof3fdRlGJhsmWo8GGkzFdCNW4jBPrIUELKkyQp4/aywDFAlSSzKJbQjBu/4wcKBwhzMmVKMlRq3EoYW6hxU3ktNW4lQNjinwT2CLnq46YejRsPbM7xwSC76svlu2Ua0q1hyLJcLqwsPBgpA3b4k57NdR9FKRYyPf5H4JgIV71PhGrc6CPpGxmsu+rriaSMG8f1MFmZxoqSGjclH5UaN8arjC2ei5TlQY2bymupcSsB9p2R+enBSFmSzBf+J/Dz9j0MgwcYxnZApKwcGDiuIjCQdNXHCSGoqwpkq3LVK/HADOetQpKHk/sI2RnXF0gE46r3iWoYN1ZwbhIIQXTVK6WRlHFLEzVuSj4qNW7XCYwtBkbK8qDGTeW11LiVQNrGrVJ+Ej4WpkbKfCc048aMPwdCT4uUKY35QNhaOCNSVgrsI5kgsP/MVe8rIRk3stptKzA4ctUnwXnCpgIrk676WgWjStjWj5GyOBDjNn1VY07qYcw/x7lp9rQxIzaTy2vZuDHJeY5wpoCxcl0TF2rc0kONWyziHaoClxq3EgjNuDHQPUu4Qggl61Voxo1zszjLhoeCq16p3LgxsGdwVMlgrhqEZNwYdLJfLK39u1Cvxq29cKoQ94SaGLcflzTm/X8YM/zfbkZtZMzXy8vltWzceNaR3Iu9pUxeuq6JCzVu6aHGLRbxDlWBqyzjxgOehy5nHrnqiyFN48aqCOeNdBeYvXddUwyhGTeSqewmHCuocVsU9tFdLIyLlJUKGea2EFpEypKGgS7n/LHS56r3jUqNWzZFPweHu+p9JU3jxopvL4FkKK56H6lX43aSsKMQ9+/v4D2MOfvm4uh9pPse1SYO45Ym7P+jL+Y5QthvCNloeWaRITSEpElR1LjFIt6hKnCVZdziIE3jFhdq3JInTeMWB9UwbjcKKwrsf3TVF4KJDH7/2EPpqo8bNW7u+jh5Q1hPuCRS5jtq3Nz19QyJv+j/MRaEPIby3GL/7m+FbpGyUiBslsiguMNnXTCBvbTwcKSsVDh0m88H4+qqTwI1brGId6gKXGrcSkCNW/KocStMpcaNJDKYqPcjZUmixs1dHydq3MJBjVt+eGbRr10ksIoVSuKaSo0b5xEyHuLoBVd9nMRh3L4Q2ILBKiMmznVN3Khxi0W8Q1XgUuNWAmrckkeNW2EqNW4YIIzQa5GyJAnRuL0nDBYYoLjqi0GNW9OEZtw4doD9sJWGmKlxKwwrbvze1ItxYysHYwsm1Vz1cRKHcZsi7Cqwv1uNW1DiHaoClxq3ElDjljxq3Aqjxi15rhU2Eir5Galxa5rQjBvnP60rdI2UlYMat8KwF520/vUSKqnGrTBq3GIR71AVuKpm3Ijl5heIs3zYc+O6xjfUuCWPGrfCqHFLnrbCXwXS5Lvqi0GNW9NUYtwYLDKAu1lIK5sfK7CrCZh6V32xhGbc3hHOFypJRlbrqHFLHjVusYh3qApcVTNuIZK2caNDJN18uWmN0zRuPwgM0CsdjKhxK4wat+RR45Y8lRg3+jP6Nfq3tM6pDNG4TRbYy0r/7Kovhj7CrwXCF131SljGjQQw9Mdk7ix3bFEN48Yk/7+FcscGatyseIeqwKXGrQTSNm48bFsJpwlfZspKIU3jxvlPJwqVDhzVuBVGjVvyqHFLHjVu7vo4uVQ4XqjkZ6TGrTAhGTe2pvA7d7LA2KKcrSrVMG6cwTtWKHeFXY2bFe9QFbjUuJVA2saNENIjhL0ENsa7rmmKNI3bJ8IuAoMEV32xqHErjBq35KnUuJElroOAkSpioFAxlRo3VvYZdA6PlCWNGjd3fZwwmbaT8FGkrFRCM25MeGKkHhfSSlcfknEDxhaHC3sLMzJlpVAN41YpatyseIeqwFWWcaMz5MBXzvFw1fsGHQuzNcwsVdLJhGTcSP7CYaD7C2cLatzc8HOhXdA+ymkbatwKU4/GjfZAu2CG2FUfN5UaN37fVhb4/XPVJ4EaN3d9nNSjcSOpycHCfkJaic/INkrimrsjZfn4YSkxS6sY8/lqC+kiLCncHimDmSsb8+OS7vtUghq3JlHjpvJaZRk3BjP7CAMiZT5Dhqp2wpUCnbrrmmIIybg9JBwkMJM3Wki6cw3VuGHY2ggdhXJi/dW4FUaNW/KocUseNW7uet+ohnHj+UzW0Y8jZfkYtZEYnp7G7DF4IesLiwkbRcrg1O7GfLiu+z6VoMatSdS4qczXX39tpk6dakaNGmXeeusty3vvvWemTZtmfvnll8xVpeuHH34wc+bMMR9++KHlyy+/NN9//32mtjiVZdweFZYVbo+U+cxXAiaG1ScG6q5riuEFgY4qrQFvJcYNI7KGQMiWqz5u4jJuDCBPF8hk5qqPG36uewpHCuVs4FfjVph6NG49hcsEwpVd9XGjxi151Li5632jGsatFF7a0Zi1Jln/1uvo/IxdXy7fcLQxb/1r0XtUSj0at+zYooj+Ro2bykyePNkMGjTItG/f3px33nmWrl27mhdeeMHMnz+/bPM2e/ZsM2bMGHPnnXea7t27mxEjRpgvvvgiU1uc1LiVAIMFVmXS6qjq0bil/TNW45Y89WjcaMfzhbTasRq35FHj5q73jUCMW7srjFnip/xcd4FcrsYtPkoYW6hxq2N99dVXdmWtR48e5vLLL7fmqmfPnuaee+4xHTp0MNdee625//77zfjx4zOvKF6YveHDh9v7nH322WK8rjBDhgyxK3ulqC6MG2fGEcbAUvkpQlpmplLq0biljRq35JkrkMq53K8XonFLmxCN2zChn1BOxlw1bsURqnFjxZrkPuyld9U3RSDGrW1bZ+0COl0kf6hxqwpq3OpYrLTdd999pk2bNqZ169bWWI0cOdKGSmLeLr30UnPCCSeYZ555xsybN8/8/PPPmVc2rR9//NGGWT722GPmlFNOMUceeaRp1aqV6devnzVipagqxo0HLYd5ltNhVAKDBAa8N0XKfKYS49ZL4OH1VqQsSerVuHFO0qlCmm0qNONWCmzEJ4boxf8s5BZhDeG4SBkwAJpWQr9VCmrc/CZk49ZJYKLns0hZUoRq3EhTv63AOWOu+qZQ41YYNW5NosatTsWK2GuvvWYOPfRQ06lTJ/PKK6/YMMbvvvvOfPvtt/bfffv2Nc2aNbOhjqy6sWetGM2aNcs2KFbwCLkk9JIVvWCM2wPCP4U00mRHqSfjxlknmKm00iHXq3FjNZcBWDmrBuVSy8Zt1u+MOeFeMU2TF/JHYQlhxUgZrD3RmL4Huu9TKWrc/CZk4zZT4NzLcpIhlYoaN/c11USNm/eocatDsXI2c+ZM06dPH7PjjjtaYzZ9+nS7UpYV17z66qt2xa1jx452DxxJTArpm2++MWPHjrVhlhi3119/3YZLXnnllbaRBWHceAAsJ/BAcNUnRT0Zt7SpV+NWDRikM2vP3jFXfSF8Nm6kv977KTN6Q2OuutyYK9q5eeIAuXzxn425/9hF7xEHoRk3zMutAiHhrvpCqHErTFzGLU3UuLmvqSY+GDf23z4mcG5cOcc6VcO4jRCuEMrZE1siatzqUCQcGTdunLntttvMdtttZx555JFMTWONHj3aXH311TaU8vbbb7craYVE+GX//v3NhRdeaB566CEbYnnLLbckZ9w4c2TKmsZM+NtCbhaWEdpHyuCjvxjz7bLu+0RR41YcatySJ0TjVik3CHxWb0fKfCFj3B4+XLqY75xXWE68R/5Q4xYfatwKE6Jxu0g4UBgqlGti1LjFiw/GrVJYMT5GuEBIy7jdKywm3B8pSwg1bnWon376ybz99tvm1ltvNQceeKAZMGBApqaxJk2aZB544AFrurp06WLT+Tclwi8Jr8ToYQZJfJK4cRu/TkPo0vavLGQ9YXHhb5EyOOhxGQxu7r5PFDVuxaHGLXnq0bgx+87eR5KGuOqriRq36qDGrTAhGjeMD4k+OHf1vkxZqahxi5daMG6MTTgfttyoj3JQ4xaLeIcqhwiJfOONN6xxO+6448zgwYMzNY31ySefmCeeeEJ+gdvafXBNpfInQ2V2Fe+yyy6zqf8pi8u4HX30n8QM/rYR77+/tDEjNzFm03dsvoDup+bnzS3kZn/6xJjndpF/LPqL0Ag1bsWhxi156tG4+Ywvxo0smOwXK2fgGCJq3ArDYeqsMDwdKQsBzh/9i3BVpKwYeP7wXjGqnH/1ouC6LglCM24kqcJYkGXYVR8lY9ye3LfhfO18PN1MLvfVuFWDBIzbm28uu8i4F1q3Xk2NW62KFTBMWhTCJPl72LBh1mSdfPLJ5tlnn828orEwbiQUwXSxZy2fcePrsDp3xx13mBtuuMEeKUBWScSeN4wbxwFUkpxkvfX+bjbccN1G9Oy54gLj1uX83CbfmMvayx+1btyIC+dhxqDBVR839Wjc+BljoNL6Gatx8wtfjFulkHiC9hTKxv0QjRv7t+gb08jOGDLlGjdMD+ef8gwqZx9UJZRr3Hh+kCjqUAHzVsm5raXwhPBboVukLB+vbG/MP943ZunvC7P528aM2Mx9n3qjUuPmGFu0bbvqIuNeWH/9ddW41aomTJhgrrvuOmu8WDW76qqrzNNPP70gVLJbt25mr732sobKJfar9e7d277++uuvd4ZKYtrY+/b888/b1P+YwXfeeccmP8G0zZgxw5o5widJhkL4JFkriz1aIGvcTjhhTTNgwG8aMWnSUmrcojwvHC1wrpSrPm7q0bgNEDhr751IWZKocfOLWjFuDDLaCJ9GynwmNOOGIX5dwJR8mylT3JRr3OgPXxZ43jHodV2TFOUat2cEntHs4+V7T6tPL8W4zVjFmP77GPPQEYUZuJcY6N+571NvVGrciKLIGVuMGrXMIuNeYOuQGrca1QcffGDatWtnLrjgApsshLPannzySbvqRnp/sklus802plevXjbVPyYsqvfff9/cdNNN1vBx7ezZszM1C8VrMIjc4+CDD7ZGkaMFhg4dannhhRfs1z3ttNOsgaOhjRkzxh47UIyyxi3vHjc1bgvpISwpPBgpSxJSzROmQhbAtGYOy4WUwhcLXSJl5cDAcRWBgaSrPm7UuCXPNwIZLIsJI6qGcZu6ujGD9pQ2t3dhhv/bmO+Xdt8nCud0cTA74XWuet+ohnEbJ3Cep497LWuJUcIJAhkEXfU+Uq5xI7Pq8gIZE131SVGKcVPKo1Ljdp3A2KKIY6h0j1sNi5W1OXPmWMOVhdUuzBap/Vlp+/e//20zRrJCxvVRvfnmm6Zly5Y2TBLD5zoOgJUzDBrhkKeffro544wzzLnnnruAFi1amObNm5vddtvNnhl35pln2r11rMQVIzVuJZC2cWNWmUENZ7KlFTpYLnx/mMuvImXloMat9pgg8DO+MFKWj2oYN86CW32qtDvpMwtx2CPSZlZ13yeKGrfCXCbsLBRj6JXyYQKQ8MG0wx0rQY2bkosat1jEO1TlESaNfW6nnnqqPadt4MCB1thh6liR41y3xx9/3BxwwAGmR48edvWNVTn2rpF45MUXX7TJSLj+008/tWXslSPRSRQMHwbuv//9rz1agNBLDCFJS4qRGrci4KHHA4GVL0IwmCl2XecTnOdEaEw5m7urSWjGbZrAgdg8uF31SkPmsa2FMyJl+cgYt/f/YUzXc+VZe4EbFshiM269jzRmqR9Mn0OMueA6Nxd1yiTMbfa0MZ+vtug9cgnNuE0SbhHejJQlzXnCpkIK5zJ5AedQkZ6fcxhd9cpCyjVuhMHxfE/7uafGLXnUuMUi3qGqCWGKSPffvn17a97INDlx4kQb+sietRtvvNGuknH4NqGNmLSRI0daI0eyEfasFVLixwHUknFjj9p2QqkrZgxqdhROipT5TkdhDWFIpCwE0jZumHIMRWuBmWnXNU3BagEDdAbqrvokmCnwdUMJMSvFuM1e0ZgzbzVm43cX8jdhKWHVSBlsMrJhr4jrPqWQMW6n3OmstSzxkzG9jpZ/+GrcWE15X+B8JVe9j9SbceO5s4RA5IarXllIucatWoRm3Ijm+VhgbEMiJdc1vqHGLRbxDlVNCDP2+eef24OyW7VqZZOLnHXWWXY/HHvSMFusxJFdMptMBEPHnrX999/fJiwpJDVuJUDI4bsC+7Fc9flQ45YeaRs3HlqE8pHOuZwMgNUwbuxVoT2mmZ67Ekoxbj8t0XCYP5nUstwr/Ek4JVIG72wqxnsl931KoRaMG+2Qg5ZDmvFX46bkQ41bshBdwmTl2YKPZ925UOMWi3iHqibEChqGjGQhHJzNXje4++67bTKSp556yho79sVlRcgkIZTsU3vmmWcypflFeCXJSli1Gz16tM1AWYqKNW4v/keeszfkh+RH3hu3clHjlh5pG7dKqYZxIzSTkN//RcqKgcyfDBqHRcrSoBTj5oKsdusIhCq76iulFowb4XfrCZw956r3ETVuSj7qzbhxmDUhnqyau+orZeg2xtxw3kKuEzYV/im0z5RlYbDnukcUzspjH2GaZxqqcYtFvENVkcqaOM54YyWu2HT9SaugcRu9oZiWl4xZ6cvCbDTKmJd3cN8nihq35FHjlg4hGTdChf8slJoWvFLUuCWPGrfkIZSaBEzfRcpKQY1b8dA22Hs8MVLmM5Uat7sEEp8llfnzinZm/q+MmbtCQ5CCizm/NfYac27XRV+fyxRhV+E4Ia2zKtW4xSLeoaoEZc0b8G8fVNC48ZvOSf8c81+IIbs1JBdw3SeKGrfkUeOWDmrcCqPGLXnUuCUPyUWOFcrNWKjGrXjY0sDvPUeJuOp9IwDj9tkfG5Is7fukmxbdxCevLZercVPjpvJbBY1bEgwWjhE4QNVV7xtq3JKHmWwOT71a4OfMIMl1nW+ocSuMGrfkCdG43SdwIC6D1lLNG4NF3vNLQloHcPM98v22FwgRI7GR67p8hGbc2AfF795QIe0DuEMjAOM2fh1jtnvVWWsh3xNbh9W4qXFTea6qGDcSQpAFLZSHgRq35GFQtKVwgcBALJS2ocatMGrckidE44Yx4Pv+t8Dh/a5r8sG5kfTHzYXPMmVJQ59E30RSh82FtwTXdfkIzbiRtOIQ4SghpDPgqoEat+RR4xaLeIeqwFUV4xYa1TJuGFwe8jcLpR5sXS3jxioqA/RSE2Cwwrax0CpSFgJq3AoTiHFjT/5tZ7i54zRjPlxXLvfVuHEe4UNCOwETFMJZk8C5W5sIpf7eY9wIW9xNmJopSwuM2/rC8EhZMVTLuPH7d6lQxIC1Eawo7itg3tS4NU25xo2jXdge0Ea4QxgvuK6rlFowbiRuuV2gPbvqC6HGzYp3qApcatyKoFrG7XvhCGEvgYGZ65p8VMu4Ef70f0LPSFkxqHErHjVu8fLM7sbs8LIx2wxdyJ+EpYUNImXAoOaL37vvEyVt45aF3/vVBcKOXfX5IFSZw7fTNkFq3JLnBeEvQqm/9yEaN84xZBW31DDWSinXuJF8ZQfh5EhZEtSCcasUNW5WvENV4FLjVgRq3IpHjVvyqHGLl69+07Cc9sHfF9JCWEN4MFIGn67RcNac6z5RQjNunAm4lXB3pCwN1LglTz0ZN37GJLxhH72rPinUuPmPGjcr3qEqcJVl3AjD6SS8HSkLAQaQhCWU+sBV41Y8oRk3spYRYsaDt5x9dWrcCuO7cXPRVvirQPILV30hQjNuZHFdWaB/dNUnhRq35Kkn43arsLxQbubPcmFMxM+31IRratzSQ42bFe9QFbjKMm6PCssKxBu76n2ln8CAl4MuXfX54OBiHl4kznDVJ0U9GTcM0B5C2qaCnyvnBR0pkCzBdU1TqHErTD0aN75XEmekfYCwGrfkUePmL9UybuWSonGb/FdjDuxrzJ8+cbPHYHmcbSCX16px6y7Q1/D74KqPoMZN5bXUuBUBB66yuvhepCwN6sm4kXyFvQlJbc7Ohxq35KlH48Z7Zs9Y2udQqXFLHjVu/qLGzY0Yt2+XNeatfxnz3C5u3tiyIWq8Zo3bx8IrwheRsjyocVN5LTVuHlNPxq1aqHFLHhIG8DVpG676QoRo3KpFaMaNwdRlAuHKrvp8qHErnhCNG2fHEdI2N1JWDGrc3PQ90Jjj71vIMcJfhTWEwzNlWR48yn2PKCEatxJQ46byWmUZtz7CrwWMW7m/tNX4Za8n43aNsKbwbKQsDerRuHEOlRq35MC4rSuocStMaMatXEI0bpzRxVldaSeACdG4nSZsK5QaaqzGrTgYWxwu7C3MyJSVghq3YMU7VAWusozbRwKzhxz2ysOAGXXXdfl4TjhFKPXBVyn1ZNxGCxjstA6nzVJvxo006gMEwjxd9UlQb8aNz4jkMYTVueqTQI2b34Ro3Ehy9YCQdji4Gjd/UePmJWrcVF6rLOOW5XRhG4H9HK76fNwmLCdgLFz1SVFPxq1a1JtxqwaPC/sLhBO56vMRqnGrBqEaN1Z1DhPeipQVgxq34inXuFULNW7+Ui3j9qPQXmDyfU6mrBSqadzI1EsWasZHrvoYUOOm8lpq3DxGjVvyhGjcvhZYSSVpjqs+H2rciidU40aSHyIgSh3UqHErHjVuyaPGLVkwW3y+JOrgd8l1TVNUy7jxtc4RWC0sNdKrBNS4qbyWGjePUeOWPCEat3IhxPkWgT1jrnplIWQfu1ogcQYrnK5ragk1bsWjxi156sW4EWp/v8Dvn6veV5ggYrvMk5GyNMC4ZX/vP82UJYAaN5XXUuPmMRiJ8wRMBXuoeJC6rvMJNW5KrcDA4GihTaSsVlHjVjwc5MveoFGRMp9R45Y8REHwvc6KlCnxo8atYvEOVYFLjZvHMDhhI/u9AmEJvQTXdT6hxk2pFVjxZj8F4Uyu+lpCjVvxfCK8K6R9Rl+5qHFLnhcFntEcleSqV+JBjVvF4h2qApcatyLgLBmy2rFHyFWfNJxns6rATK+r3ifKNW4zhYeF1yJlaUDIB+GDbNLmbwbqrusUpRReFujfQpmBD824MYCjr6EvLye5QtLMWMWYh44QI3FmYR44xpjP/ui+TxyUa9wwphz5c5eQ9qRWaMaN8cFvhW6RMiV+KjFuZCW+R+DsSFd9BDVuKq+lxq0ISOO8o3BSpCxNSO29lhDCSiFx7zw4yW7nqs8HWaI2FlpFytKE73cp4c5ImRIPrI58KySYBcw7ONePg9lDmQiolnGjbbCaU2tt480tjNlgjPlhKWO+Xj4/1Ju1J4rR32HRe8QFkwj/FK6NlPmOGjfFRTnGLdvHdBZIOFXEUSlq3FReS41bEVTbuJE9qb9Q6kOsGpAAg4dmEbNajVDjVrsQynax0D1SVuuocSuOycL5AqtnrvpQyRi3Jw4w5uDH8vPooXJ50saNc7qI2ngvUuY7atwUF+UYN0LdyRVwqcA4qohslGrcVF5LjVsRVNu4lQMPvMFCOYdrVoMQjRuDcsJnyQzmqlcaoH/YWjgjUlYs7CUiw2Mo+4myhGbcOPftGIEBqKs+KQhf2kSo1u99UmSM27WtnbULaHul/JG0cQuRco0bBpVzDEs947JS1LilQznG7W1hI+GCSFkB1LipvJYatyII0bjdIBAew/4GV71vhGjcrhQwJHzvrnqlgUqM27lCMyG0BCGhGTcO5GWvWNohi2rc1Li5KNe40X5px7RnV31SqHFLBzVuFYt3qApcFRm354RHhFJXHKpl3Bj8sdmawYKrPugEE6AAAG37SURBVB8hGreOwhrCkEiZL7Cx454TjWl540KOFFYWNo+UZXltW/d94gRzcbMwOlJWCM5z2kB4M1KWBmQwI/SwlO+1mlRi3BjAbSeQXdVV7yvVMm78vl8uvB8p8xk1bmrcXJRr3KpFaMbtJ4Hw5DsEjjJwXeMjatwqFu9QFbgqMm7lUi3jVi5q3OJl3q+NOaSPmfNbY97dWPrVzd1MWsuYnxeXl3Q/ddF7+EC1jNuNAivH/4uUFQMZNDF7RcT4x4oat/Tg9351oYgN+F6gxk2Nm4t6MW6sENI/lronvFLIEsrk3/ECE4HTBNd1Lnh+8BzheeKqTxI1bhWLd6gKXGrcikCNW7xkjNsLO8mY/FVjNhzt5oLr5Lm2tLxEjVtjyjVuHOK+u8Asq6s+KdS4pYcaNz9Q41YZ9WLcpgjHCVdEytIAA8R5hA8I/Jw5K9Z1nQu2E3Bm3bBIWVqocatYvENV4FLjVgRq3OIlY9ye3NeYlb50XmE5/GFjvltG/qHGrTHlGjcSqfxZKPU8p0oJ1bixV+Yh4elIWbGocSuOEI3bSwLnQTW1cq3GrTLICsm5mpzv6ar3jXKNG9s3dhBOjpSlCdlkVxFKOSO2g7Cm8GykLC3UuFUs3qEqcFXFuDG7w3kapGZ11fuGGjc3Py5pzBe/N2b6qoXhOq7ndWrcKkONWzqQqr7c33s1bsVRjnH7Tpie+dtVnzT83q8vDI+U5ZIxbjefbcyq0/Nz3QVyua/GjfOvmLwABsyua5QG1Lilgxq3isU7VAWuqhg3lugZWKS916Zc1Li5GfdP+Zn0MGbPQYU5+S5j3luv4XVq3CpDjVs6qHFLnnKMG+9tL6EaA0cowbixT3fQnvkZv45c7qtxYw8TmXOvFurp8PxyUOOWDmrcKhbvUBW4qmLcQqPaxu0zoa9QzAGqXwgDBAbnZwpJZh4cuo0xf//AjNnAmN5H5od684/3jXl964bXqXGrjEEC+yK6CpxxRoYw13W5qHErDTVuyVOOcSNMcXHh/khZmhRj3CaubcyFnY05svdCthEWE7aMlAGZc7OTWknA6iSTPGMiZcXwpbCvcIgwL1OmuFHjlg4YNw5Z53ugfbquyUWNWyPxDlWBS41bEVTbuLHHhtUzzmZz1UchAQWd1CUCZ9kQ7uK6Lg4yxu2ai41Z6of8UK/GLUbmCxysfoBwuFBsOmc1bqWhxi15atW4/bJYQ2g4R59k6SksIXSPlAHXcb3rPnHAnrx1BAa7rvp8qHErHjVu6cFEJRQbvqvGrZF4h6rApcatCKpt3AYKqwrFdK5kelpPwLi56uMkY9yuvtRZuwDq1bjFDGcn7iccLKhxS4Z6MG5M7pBl9CahGuc5+W7cXtm+Icw7ysbCisL+kTK45axMh+W4DzwoLCH0iJSlwQvCX4RSf+9DNG6817MEBuuu+qRQ4+YvatwaiXeoClwVGTcGUyOFbyNlITBBGCEU+zBS4+amQuPGudp7PyXPrZfdXNm2YUI6FePGCtarQin7LtW4FUc9GTdClYcKFwkMxriH67qkKNW4keCDVdu9hWpk8PPduPU4yS6Gvf+Phm1oLugGyb1kDnjCmLkrLHqPLGrckocwuuUFslK66pPiZWFPodSvq8YtedS4NRLvUBW4KjJulwkMHDE2rnpfaScw6GVA6arPRY2bmwqNG3999JeG7SAuSEZpI4jSMG5PCv8QHo6UFUKNW3HUk3EbLGwsdBHYPM9Bt67rkkKNW7yIcZv/K2PO7dqQQ8TFxu/Kx76HXK7GrfpUy7h9I9BfzI2UFYMat+RR49ZIvENV4KrIuJ0ubCMUa4B84RzhX0KxiTsYJDNYKDWLX1zUmnFjT8cjhxnTtm1xvPWvyN0SorewlMDhoq56F2rcioNVqLuEtgIZ6koJHwzNuJFACPPEXlNXfdKocYsXMW4/LWHM0b2ctZYV5hrT90D5hxq36lMt41YuatySh+RunB3MpJqr3oEaN5XXUuMWALVm3HxEjVvy9BJI6sBgwVXvItQ9btUiNOOGiedrMxh01btQ41YarwvbC/zeTxGKPf+u2saNIwj4fmdFygqhxq006sG4lYEaN5XXUuMWAGrckkeNW/Iw8/maUIpBUONWGqEZN0LMCGUqJdxejVtpcIA2GTCvEI4QRgmu63KptnHj+XykwGq9q96FGrfSUOPmRI2bymulatx4gBBuSBIIV31a1LJxYwDE3sPHI2VJkTFuA5rLcycnwVoU6mvSuDE4YDDEAN9VnyQhGrdyYHB+jcBZVK76JFHj5iehGjcm1U4VOHvRVZ80lwscC1Ds87faxo1JnnUFnmeuehchGTcmLG4RzhPuy5SljRo3J2rcVOaXX36x/Pzzz2b+/PkW/k1ZOcq9VyX3S9W4vS+Um6QgTmrZuKUJRmz9scYs+eNCfiX8X+bvaPkGY2TgspX7Pj5QjnGrJhi3A4XDhFo2btUkROPWSeAzLnZQpcataeI0btVGjZtfsOd3bYGMlK76NBgk/FEo5ozYLNU2bpxjWso5bmWgxk1lZsyYYd555x3z+OOPm549e1qeeuopM2bMmJIN1zfffGMmT55sBg0aZB588EFzzz33mF69eplnn33WfPrpp2bevHmZK4uTGrcA8NW4zVy5YTmt95ELOUP4v8zf0XKuszmzHffxgdCMG9kKOViX2XseYq5rclHjVhohGjf2jHGmVLHHWqhxaxo1bmrcksIH4zZV6CuQVMlV76Kaxg2zxmfM90D7dF0TA2rc6lg//PCD+fLLL82LL75oevToYa6//nrTsWNHc/XVV5vOnTtb4zV69Ggza9aszCvyi1U1TBsG8JFHHjE33nij6dChg2nXrp256qqrTNeuXc3DDz9sxo0bZ7777jtrCIuRGrcA8NW4uSDk4/+EnpGyEAjNuJUDZy4eK/BeXfVKY0I0bqWixq1pxLhxHECni4zZc5Cbgx4Xj7GtXK7GLV5q3bg9IJwghDIOycKROccIZIR11ScJxo1n2G4Cx624rokBNW51rJkzZ5pXXnnFXH755ea///2vXRkbPHiwXW3DcLVs2dK0bt3avPnmm5lX5Bembfz48dbwHXHEEaZLly7WwA0cONDcf//95tJLLzW77LKLueuuu8zUqVPNjz/+mHll01LjFgBq3JKnHowbq3QMzkkI4apXGqPGzU9SNm78Nee3xkyTR6QLzpv8fmm5XI1bvNS6caMf5nfux0hZCGS/77TPqAQ1bhWLd6jKI8IfWU3DtGHSMFSjRo0yn3zyiTVLGLqbb77ZHHLIIaZPnz5m2rRp5qeffsq8elFNmjTJ3HrrrfZe1157rXn55ZfNhx9+aD7++GO7yta/f39z0UUXmUcffdRMmDDBfP/995lXNi01bgGgxi156sG4KaVBMqWHhKcjZbWGGremGbWRMZ0vLI4nDpDB7FLu+/iAGrfkIUz5JmFapEyJDzVuFYt3qHII00a4Iqtru+66q7npppusyaIsK0If2Ze2zz772DBHVt2i9VFh6F5//XW70nbNNdeYoUOHmjlz5thQTPa0YdJYZeN+b7zxhpk4cWI6xo29MiRIIINZMR1ViMaNbHYY02quUtSDcWMAScr3YvfmxI0aNyUO5grjBA4dd9X7RojGjcHxRsKTkTKlMKUaNyYuzhLIekg7cV2TJCEatxbCFsKYSJkSH+UYt2+FEscWatzqUJgyDNG9995rtt12WxvK+O233zbad4a5e+utt8z5558vpukKu98NM5YrrmMPHCtqhEJ2797dzJ492xo2zNrIkSPtahwrdlz31VdfpbfH7WPhUYGHPifTu66JEqJx6y4w6zgiUpY29WDcaBsMILtGytJEjZsSBySAIbySfSCuet8I0bhhikmlnmBygpqkVONG0iMGvJw19nOmLE3UuCm5lGPcSLxS4thCjVsdihUywiJvu+02s8cee5i+fftmahrr/ffft+GSl112menWrZszSQnGjSySvXv3tqtzhEsSgsk+Ocze3Xffbc0c++eef/55m1mS1xSriowbDBX+LhTTuYZo3Mj8tJZABj9XfRowg3+pwKDQVe8TbwgtBQ58ddW74GfbWbhQYDbddU3SqHFLHg7+ZWD1YaSs1iBD2wpCt0iZz1TbuM0QOJi6mpn16gXO7GovlHLYeTVR46bkUo5xY5KHFfoLImUFUONWhyIxCCGLt9xyiznqqKPM008/nalpLPa7PfHEE6Zt27Y26cgXX3yRqVkoVs7effddm/b/xBNPtFkpMWunn366OeWUU0yrVq3sPrmDDjrInHnmmea5556zIZTFmrescbvkktXM3LmLN+KHHxaTKxZt1I1Q4+YXnHHylVCN0JZyOVfYTHg3UpY25Rg3QjD4WfMzd9UrjWFV/tcCq/SuehfsreGcumrM+JdDaMbte+FE4VChGuGdZKbbRGgVKas1GGzShquxTyxkyjFuPYQ1hP9FytJEjVuyxGzcvvtusUXGvdCr14pq3OpNGLdhw4bZFTfM1pAhQzI1jYVx69evn7nyyitNp06d8ho3jgC44447zGGHHWbOOeccawi5J6GWhEqSqITkJ8ccc4zdT8fXJgtlMcoat513XsucccbqjXj22eXlikUbeyPUuPkF+/HOFNLYuB8XoRo3wkHPFggnctUrjSnHuPGa1sJnkTKfCc24YYjfFF4XqpElrh6M2yyB50gXQSd5iqcc48Zq4gCB88lc9Umjxi1ZYjZuDz644iLjXth//7+ocatVcUbba6+9Zs9pg5deeslmdCRUcvjw4dZgYYpI2e8SGSHJKIlxa2rFDXPGvZo1a2ZX2DB70WsxiiQ3oY57ETbJ91aMssZt113XMmefvXojnn9+Obli0cbeCIwCg1cGvq76KL4Yt7sFwvLYo+eqjxKacRsmrCdcEinzHR+MGwdZEzI2JFJWCAzFBgIDX1d9kpBCmkkTBtzFHsBdbcoxbqcJ2wmhmONqGzf6WELiSKrkqveNejBuJEVoJhwlhPK76gPlGLdqE5pxo232F0IJX4/ZuD300G8XGffCgQf+WY1brQqzxCrY7rvvbvey7bXXXnZlDOPGKhmHZO+www42Rb9LZH8kcQlm64YbbnCaLYzbmDFj7F64LbbYwv5NcpLcowOmTJliHn/8cRtKyUHfJCspRlnj1qbNH8y8eYs34scfiwiVZAaREJBiZmt9MW6EB/E9FxN+pcYteXwwbgyoCGcq5Uydaho3Mr4dJhwthHIumxq35LleYLD7XKTMZ9S4KflQ45Y8g4W/Chxh4Kr3jZiNG9uBcse90Lu3hkrWrDBHJAnBMJGAhP1qJCXBbH322Wd25Wurrbay+9O+/vprm20yKq7lXLYOHTrYRCNz587N1CwUe9VmzJhhV+a4F+GXrnth3B577DF7r+uuu65k41Z2cpJS8MW4lYIat+TxwbiVQzWN22xhP+FgAcPpuiYXVscZBA2KlKWJGrfk6SisLnBEi6veN9S4KfmodePGyvgVwoRIWdrwPawi5MtYPWIzY867wZizbinMTecYM+t37vvERczGLR+anKQOhdniHDX2oe255572nLaxY8faIwGy9fybLJAnnHCCXZnjQG5S/FNOGCTGj5U1RCgk9fvtt5/dw0Y4JtdlE5Cw+vbee+/Z1TiM25133mlmzpxp6wpJjVsB1Lgljxq30inVuJHS+wFhT4FQYdc1SROqcSPzIdlSi0neocatNEI1biQmYnD+UaQsH2rcyoMstBz+fUekzHdKMW6MLdYWqplRtZBx63OIMct9Yyb/VYYWW+Vn5spy+S7PGfPJnxa9R5yocatYvENVHmGqCHG86qqr7DltmKnp06fbcowYYZJkh9x5551tqn+MFqto48ePNwMGDLCrdOyby96LowMIgyQDJen/SWzC9dRx/tugQYNs2Oa1115r99qxKleM1LgVQI1b8qhxK51SjRvtgUEQe/mqdTh0qMaN1OJ8zuwFcdVHUeNWGqEaN1ZJ+H0ivb6rPooat/LAHDPhxMSJq95HatS4tbtChhXv5eeJA+RyNW5BiHeoakKYMVbKSCxy+eWXW/P28MMP25BGzmPDZGHs2CuHmcOEkRGSUEfS/WPsssomQsG0YQRZXcPcEY5JGVkpL7jgApu4hLBJjgQoRqkaN84JYvDWL1LmO2rckkeNW+mUatxI+b6zUExCnqQoxbhxdiFn+xFKxIx7tcwmkGJ8CaFXpAyYZr73BDFLlyzkGGFpYd9IGXRrYcyktRq/PgnqwbjRT1wjFJMVOCnGCv8WGKi76qOEatw4UqaPwGREKXt/65kaNW5n3uqsXcB9x8sfatyCEO9Q1YQwYqyKPfPMM9a4cabb0UcfbU477TRz/PHHW+PGSlp0bxurbJdeeqk59NBDbQhlVtyLvXPUsy/u4IMPNs2bN7d/77///qZly5bWtGHESlGqxi1EfDBuPEBJh17MAN0X40YKbIx6Memv1biVTq0bt4eFZQQfwqTyGbex68sg7U3zzXIyhlgjP3NXkMtX+9yYp5s1fn0S1INxu0dYXKjmkSchGre5wjShmERi9ClMnpBp91SB1S/XdUpj1Ljl1MQMxo3jnGiX/F65rslFjVsj8Q5VBYThIrkIBo1z1zgmgL9HjBhh96oR0hjNEMn+Nq59++23zaRJkzKlDeJe1H/wwQd2lW7o0KF2FY7DvgnLJCFJdh9dsVLjVgAfjNtwgbCcYga8vhi3awWOXMC8ueqjqHErHTVu6VHAuBEmtNuQ/Nx1slyuxs2NGrf0uFc4TijGVDwu7CPcLtAv6/lzxaHGLacmAfjZYsbIDu6qz0WNWyPxDlUliBUzTBphkfy7EmVX8wiJrOReiRq3V7czpudxxTHun+57VBsfjNtAYVUhX+caxRfjxgBhV2FKpCwfatxKR41behQwbkRB5tQ0ovW18oevxo0BOX3bs0KxA6E4UeOWHpcL6wivRsry0VVYSXgyUuYzHI+CCeH556pPCzVuOTUeoMatkXiHqsCVmHH7ZTEZvPc0ZrFfiuPGlu77VBs1buWhxi1Z1LilRy0bN8KwCTvaWyhmdTxu1LilRy0bt/cEEp+dGSmrBmrccmo8QI1bI/EOVYGrYuNGdi0GsIRWRMszxo2xDceAnHCvG/wae0RM13Mbvz5JGIBdKRSzuVWNW3mEatwIJ2LwW0wmMzVupaHGLacmAUih3l04T7hTYE+I67osatzKQ42bX2DcthKqbdx4/pJ9lv7ZVR9FjVs6qHFrJN6hKnBVbNyGCn8Xcg/JzBi3Z3c1Zs0pjWoase+TmTMb0zRubG79l1BMVrL7BB641TQVtW7cbhXYAE/qZ1d9mpwi7CAU872ocSsNNW45NQkxVdhdIPvaz5myfKhxKw81bn7hi3ErhYCMGxPs+LJ8DN5DLucfPhq3D4WTBPZruuodqHFTeS01bgUgExcZHaux/yNLrRs3TAjZznxIOa3GLTnUuOXUJIQat+RR4+YXatzKo0jjxhgNT5YPGzXlq3Ejiyq/g8WsgmZQ46byWmrcAqDWjZtPqHGLh4lrG9P5QukX2i9kL2FJ4eBIGdxyljxYV2v8ejVu5ROScWPChpDOIZGyQqhxK4/QjBt9Fd9HMW1DjVt5FDJuJI3rdJEx7S9byO7CCsKJkTJ44JjM2SeO+wSGGjeV11LjFgClGLeRwp7C9ZGyalAPxo3PgwFvNdqR78Yt84vPGdUf/D0/9nd/03eMeXfjxq9nQMG+BAxctLwaFDBujFf+/kF+rrtALlfjFh+hGTd+rv8VzheqmVY/NOP2mrCukDu2cKHGrTxeFEjqwvE9HwnFRBZ1ENYUyETrqq8B1LipvJYatwAoxbgxiCf8qJohcVAPxo2fMUa5GOMUN4EYtztOM2abofl56HC53GXcvhBYPWZFJlpeDQoYNxYLh26Tn4//LJercYuP0IwbIeAcZs1em0LJYpJEjZtf+GDceI4QMUKEzjHCB4Lruihq3IIW71AVuNS4BUApxs0X6sG4VZNvBfaMkUGwmFnSKhm3S6921i7ghvPkD5dx84l8xu2zPxrT8RJjTr+9MBd1ajB60dcnBWda3SiQIdX3rJLlEJpx8wU1bvEyekNjbj+9OOgPf1688et9MG5ZHhPaC59EyvLhg3FjXMHv/4hIWYyocVN5raSN2ws7Sd/7oTG/nufmkD7GzF5RXqLGLT9q3NIjFONWKqcJhNAW82COg3owbrWAGrfyUOOWPL4bt5vPtsOc75c2Zt6v3Xy7rDHzfyWXH/WgMT8u2fj1VwvskeZ9Rst9p7PA5/JCpCxt2Pe4hoCJdNVXiBo3lddK2rhNX9WYAc2NefRQN69uZ8wPS8lL1LjlR41betSqcRsusJ9hXqQsSdS4hYEat/JQ45Y8ARg3jBl7WA991M0pdxozchO53GXcaEM820P5vcvCz3qAMD1SljZq3MoW71AVuBI1bozK9um/kJ2E3wl/iZRl+d9+jV+fJKEZt7eEowVm6DgInFAo13U+ocatvqkl4/aMsL9QzRnmpFDjVh6sXHPIuQ9ZT4tFjVu8iHEjieKBfZ21lgVbW13GTSkfNW5li3eoClyJGTfgcI8vV1rIG8IWwomRsizfLbPo65MiNOPG5nY2EV8obC9U8zDwYlHjVt/UknFjD+GXAucBuepDRo1beZAdkjM+01rBjgM1bvGixq16qHErW7xDVeBK1Ljl8r5A6tkzImXVoBTj9rTApl0fBvIXCKRIfztS5iulGLcnBI4vIBueqz5N1LjFQy0Zt1IYJVws+JBwoBhCNG5jBIwFmRpd9YqbUowbSR9IflTNflCNm5KPUowbYxD25f0vUlYANW4qr1WXxq2TcIBAnHYhs0Dmp7UEQhRd9Wlyg3CIwEPKVe8TtIdThWLSuZ8rbCb4sJKoxi0eMsZNxjbWl+Wj19FyOf8I3bixAjNJuFvYRnhIcF3nG74YtxkCE2msYrnqlcq5VdhX4LgYV71vqHFT8lGKcWOimwlvJr5d9Q7UuKm8Vl0aN8wasy8MVjBDrmuy+GTcPhM4Z4VU8K56n2APCOaHME9XfRQ1brVHxrhxxhmeLB8c0F0Txu0bgXbMQcucPxfK6pUvxq2nsKMQykpliDCJxjOYtuqq9w01bko+1LiVLd6hKnDVpXEDEn5sKFwUKXPhk3ErBswde0BeiZT5TmjGbbJwu0CmRle9YsyH6xpz1eXGtLp+IbsJSwj7Rsqgy/kNZ6JFX09fwVlkIeznBFaKDswQ0qrRTwJ7xe4SqjmgJ1R6ZYEoCFd9yPBz5Zysp4RCB6IrCynFuJHh8Cbh8UhZ0qhxqx5q3MoW71AVuCo2bpy6z0xXx0iZCzZxM9Bl31MJv0CJMVIg0QfGzFWfJTTjxmz/esIlkTLf8cm4kSluH+GjSFku7HtcTbg2UpY2HKyMQfgq82/XNb7BnplfC49GyvLxsLCMEErWPp+MG+aAzLO0DVe9j9SqcSM6gtUgQvM5SxGj7LpOWZRSjFs1EOP21W/sqUdm5Zlu1h9rzPM7y+W+GzcmF0iAFkr7VONWtniHqsBVsXHjl53zoQjhc9VnuU84SmA1iM3lrmvShIENYTmF9oupcUsen4wbySVeF5rKFueDceNB207giAjC3VzX+IYat3QgA+alAmYoFFNfq8atj8C+ZFbo2VsWyufhAwEYt5+WEF+wuTFP7e2GiHEbDu67ceOsSsJMJ0TKfEaNW9niHaoCV8XGrVjaCP8QGBS76n1FjVvy+GTcisEH48aEyX7CwcLXmbKmeEN4Xqhm+nLOQ2PypovApElT6fXVuJUPe3h3F44VQgnNq1XjRh9BX0Gf4apX8uO7cSMG8vCHG7OusJKwZ6QMurUwZv6vGl5HIh7auQ8T2FkwNRsLZBN11cMXAgeGM7npqk8TNW5li3eoClxq3Aqgxi151LiVTqnGjb17ewgkjXHVpwGZF/m+SYZxkDBLcF0HatzKR42bP6hxKx/fjRtG7PulG3OmsLkwIlIG0dU29p8zFuKYoej9qkkxxo3JPwwQx0q46tNEjVvZ4h2qApcatwKEZNweFNijxSZtOlnXNT6BUcO08QBjUzkhXq7rfCNE43aisLPwcaSsGrDid6hAWvKmPm+fjBvnXp0uMCniqgc1bpURqnFjFZtzQfMNeNW4lQ9ZMOkH2EfvqveRFsIWQlOraYwlGFMwtnDVV4NijBtjN8ZwjOVc9Wmixq1s8Q5VgSs148YA7EjBp/CAYgjJuBGjTqKYEM55gyeFlQQO03XV+4oat/IJ0bj1F8g0erMwVnCFeKpxq4xijNv3Ame9fRgpqzbdhBWEvpGyKKEaN9oQExWhTKb5ghq3dFDjVrZ4h6rAlZpx4wHAoDGURApZ1Lglhxq38lHjlh5kZyT5EuGmJwjsUcm9Ro1bZRRj3HhfRwuFjnBJk1o1bvcKmwvPRcqUwqhxSwc1bmWLd6gKXKkZt1DxybiR3IGBLGe1uep9M26TBExZvjPl1LiVjxq3dCFNNqahmfB5piyKGrfKKMa40XZpw7RlV301CMm4vSCwapy7z3X8OvLzb2VMuysWspewrHB0pAzu/q8xX/y+8euVhXBW3xUCGX8xF65r1LhVDuesXicUGpfxe8dnwWdSwu+gGjeV11LjVgCfjBudKzNHzCC56n0zbs8KawqkrHfVq3ErHzVu6VKLxo12Q3vgM3HVp4kat+ThZ7ytwM+YDIHZcvLWrzLDzPqdjAf+kh/OLDNbv27M+/9Y+Fpf+FHg99KH0E725G0g5FsZVuOWHuyhZ+W4xEyYatxUXkuNWwHUuJWPGrfkUOOWLrVo3Pj94zoSbLjq00SNW/JMFvg+aResVmTLM8bt1jON+c+L+em3v1zuq3GjbZBA6IZIWbVQ4+YPatwWEe9QFbhiM24jBQZb+cL4fIMZRx5iwyNlLtS4lU+Ixo0MgoS7sK+J/zPNzMCGEKEs5wu/FQ6JlMEDxzRMTefeMwnUuKVLLRo3frb8jPlZu+rTRI1bOowXthNOjZRljFur6xtduQi3nSF/+GrceObx7OMZ6KpPEwwyRxg8GimLosYtPdS4LSLeoSpwxWbcSOn+JyGUzcxvCRsKhTa6Ex/9N4EDg131aVJrxo1sfasIHF/gqq8GJKAggyAx9Px/0lrG7PiS+WWxhmN78vHz4nL5CnONeeKAxvdLCjVu6VKMceOzADVupaPGLR3UuFUfNW7pwfFIJIshG62rPg9q3FReS41bpMwFMzX9hOmRsmpRa8btU6GP4Mv3C3mM2ws7ybi9V356HieXq3ErTK0aN/bYMCAD/p1bnyZq3NJDjZsfqHGrjFo1bozzBgo8L131eVDjpvJaatwiZT4xZU1jBu/RmEOEtYRbI2UwcpOGZZ/QjJuP5DFuPU5a5MpGtOgmf6hxKwxncdFXXC5kw1FdhGbcfCJE4/aYcIjwRqQsFzVulROScaOPIyMx37OrPooat8ooZNzGCfcJhwv3ZMpqGDVuKq+lxi1S5hO9jjbmj581ZjlhCWHlSBmcfJcx3yynxi0O1Lglyy/CrAxNmQo1buUTonH7RpgmYOxd9aDGrXJCMm4k+SALJj9DV30UNW6VUci4XSzsIbDq1tSEW42gxk3ltVIzbjy4yGRV7YFjFt+N252nmJ+WMObBo4xpfa2btlcaM3Z9ufzgx2TwvnzDOW/3C9FUz9VEjVtyMMB9XOD3rrUwVHBdl8UX41YsDMQIn3snUlZN1LhVnxCN2zDhFoEzLV31aROScXtNWFcg0YerPooat8ooZNz4uW4tvB8pq2HUuKm8VmrGjbho4qOZsXHVp00Axu37pY054iFnreV3s4z5337yj6xxc15VRdS4JQ9mnc3XvSNlLkIzbr4RknFjP+5JAobeR+NGX8Xgn1mnQkz+qzE/LNXwuhCNm280Ydw6X2jM+mPz8/Dhcnmaxo1Jm70Ewqo/FFiVdV0Hatwqo7NwgEBIpKveN+NGW6BNzIyUxYgaN5XXUuMWKfMJNW7VITTjRsghyWoKJc9R41YZIRk3kqMwwMq24XxUy7i9sr0xuz5rzL+HF+akHg37fXmdGrfKacK4ffInY4b/Oz/TV5XL0zRuhICTHOwqYR+BZ7brOlDjVhmfCGOEfIfx+2bc2Au7t3BvpCxG1LipvJYat0iZT6hxqw6hGbdi6SUwyMToueqVpgnJuBVLtYxb/32MWelL8/IO0iRb5Gf0hnL5tq+J2Vin4XVq3CrHZdxY2bykY0MnlmUHYRlhn0gZdDk/4+Air08axhZ/Fpo6KD4k4zZBuFIg26Gr3kceEboIPmTXhiHCGkKHSFmMqHFTeS01bpEyn1DjVh1aCLsJnPvCPrKMcbv/2AZflo8LO8vL+Yevxk2pDIzbyQIHbJNEw3VNaFTZuJ13g7N2AXecJn/4btz4GTKA5ExKV71vuIxblPkCYWg3CH8RfDAXoRk3foasFn4XKVPiRY1b2eIdqgKXGrdImU+ocasObM5mMEZih4eEjHH76C/G9D0wP+9uLC9X41a7kA2TLHckTKiVAZkat8phZR7TRkIYV71vFDJuHwnnCzyvOVPPh9Xl0IwbK2rnCD0jZUq8qHErW7xDVeBS4xYpi0JmxsECDwRXfdLUg3FjUMDggAedq75avCysLRDOQljQpVcbc2Dfwhz1oDFvbOm+p1LbsCJHBkHg365rfCM040YiAhJV3Jy9QimZYo3b3ZGyahOacWOCZwPB10nhWqBY48YeSdrN3EhZEahxU3ktNW6RsiikVyc9bsdIWZrUg3EjDIdwnNsiZT4QNW4/L95wRt7cFQrz1W9k0L6E+55KbcPZRkdlCOWco9CMGxkySZ7wbfYKpWSKDZX0aVVZjZuSS7HGjcy67FkfGykrAjVuKvPFF1+YsWPHmoEDB0qDeMzy3HPPmQ8++MD8/PPPmauK02effWaGDx9u+vfvb/r06WMeffRR8+STT5phw4aZGTNmmO+++y5zZXFS4xYpi5IdvFcr85MYt/m/MubpZsbcfLabu05uiOTz1rhNEcj6xIPMVf+ksJLQNVLmA1Hj5qpXKoc9hPzuNTUYC4UXBUKjrhGeEn4QXNf5RmjGTamcOcJjQki/d2rclFyKNW7nCpsLrLy56vOgxq2O9eOPP5q5c+daU/XAAw+YTp06mbZt25orr7zSXHfdddbATZo0yXz99deZV+QXhmzq1KnW8N1xxx2mY8eOpl27dqZ9+/bm2muvNXfddZcZMmSINWI//PCD+eWXXzKvbFqJGzeWqEcKHKJ5iMCALVpfLXw3buyVcqXHdnFRJ2O+XbYhzIVzWELZgxOacWOfE3taPhBIuR6tU0oj+9mTBCFaTpghP1/CZ5s6g8wnQsssmIXvl9UXzgJ01SdFPRm3zwTOI8MwueqVwhRj3CYLJwidImXVQo1b8qhxK1u8Q1UT+vLLL61p69ChgznjjDNMz5497UrZE088Ya666ipz4YUX2r/feeedzCvya/Lkyeb22283bdq0MRdddJE1gs8//7x566237D1vuOEGc+yxx5pHHnnETJs2zZrGYpS4cWOFjQ3lhMsxGPMlzMV34zbrd40Pom0KzjkipI/zbo4QJkXu4zOhGTfCiC4UODIgoYM/64Z8xo3jCk4T2GdDVs9ona+Eatz4WTPRU+L+j4qpJ+PWQ9hReDVSppRGMcbNZgAWMMqu+jRR45Y8atzKFu9QlUeseI0bN86aNlbYunXrZk0WK2zjx483gwcPNl26dLGmCSNHOOX8+fMzr15UI0aMMCeeeKI5//zz7era22+/bVfgZs2aZSZOnGgef/xxc/zxx5vbbrvNGsF58+ZlXtm0YjNuGDZChXITTWT3ORX6BUubTwUMQ750x9U2buVAmAjhItVKqFIqvho3Zm87CzwcouWsBrGHyaezvDgQlfN1OITbVe8r+YwbhpiDVQ8XQlk59s24kYqc8EeyHbJK7LqmmmSMG39dfE1+hm0ll4du3K4VVhOejpQppVGMcfOJEI0bP1sS0oRy1Ikat7LFO1TlEStezz77rNltt91M165dzXvvvddo/xkm7ZlnnjF77rmnuemmm8zIkSOb3J/2yiuvmO23395cdtlldo/bV199lalpMIm8/pJLLrH34r6EaBaj2IxbPnw1boVQ45Y8vhq3fPho3NivsrxwS6TMBaFaZEpl1dBVnzZq3JKD1PS7Cxxp4WO46ZDdjPnnOGP++Flj/iAsLSwjrJYp2/dJYyb/1X2fEFDjVjm1ZtzYA8tB1kywuOqrQTuBleEXBNcKfPb54UvGXDVuZYt3qHKIhCNTpkwx999/v9luu+3MfffdZ/exRVfUMFsYsBYtWth9b4Q4NmW2CLncb7/9TMuWLe21M2fOtOXc59tvvzUvvviiDZW8+eabzZtvvpn+ils+1Lilhxq3ZAnZuF0vEObJgMFVnzZq3JLDd+M2YxUZhO9szOA9GtNH2FLYUeifKeN4jXm/dt8nBNS4VU6tGTdMxHHC/ZGyasO+4geFY4TbM2VR6ONIwETCsdy6aqDGrWzxDlUO/fTTT2b06NE2bHHXXXe1YYwusQrHahyraBguwh7ziQyUhF22atXKXt+vXz/z2muvWfP39NNPmzvvvNOaOr4WppEEJcUoa9yOO25NaaQrNGLChKXkikUbdUmocUsPNW7JErJx49Bi9ppyiLGrPm1CM26EHLJPiZDw3H26atzigc++uXCYEIppBxIVkVkUcpMWqXGrnH5CS4H9mK5632CvHWnoOXOQ/jl3391LwlqCb2OLd4XNBMxObh1ji60FQvNz66pBTMZt5MhlFhn3wmWX/UGNW72JMEkM1S233GKOPPJIM2jQoExNY33yySemb9++dsWtc+fOdp9bPrFih9G7+uqrze67725X39jThlk78MADzUknnWQTlnz44YdFZ5REWeP2j3/8XRpqY+6993dyxaKNvSTUuKWHGrdkUeMWH6EZNz57jNBeQu5nr8YtHkI1boSWHSwclPl3tE6NW+UwaUKIt4/7NV3wffJ7R4ZLzMVgIVqvxq1yYjJuRJrljnthvfX4W41bXQnj9sYbb5hbb73VJhRhz5lLGDdWzkhewlEBTRm3OXPm2KQjZKFs3ry5OeaYY2ymynPOOcfuk9t///3t8QCvv/66+f7774s2b1njdswxa9rl4SgffhjDihuDCDbKcySAq95X1Lgljxq3ylHjlg589kcLrs9ejVs8FDJuXwokDSKJQm5dNcGsHSgckPl3tC4040YoHM+83pEypTwwbq7PXo1b5biMG+HX/727MRsIvxcOiJQBKWt/WsK8/fayi4x74ZJLVlPjVqtiTxohkWR8BIzVp59+umDFDeN21FFH2VBGlz7++GNpJI9Z49bUihthj2SOfOihh+yKG+GSXM+KHiGW5557rl1xw8j17t3bZq3EvBWjxPe4hYqvxu0bgaMMxkfKsvhq3AgdeUPIHdSocaucQsaNLGGEcPEwBt3jVh6hG7fZKxrz+tbGvLBTYd7cojoH+hcybkw6MPnAJERuXTUJybgR5jtCYE9Tbh0ZoZlk5UiZmzNlSvm4jBvG5z6BtnJvpswXQjJujIE4F7hXpOzWM838XxkzZgN3twavbmfMlyvJ5Uc8ZMz3Sy98bQ6YNzVuNSqMGobpkEMOsWCASETCHjfqbrzxRrPTTjtZc+YSRwMQ3ohx4xw2zn3LFStn06dPtw3ogAMOMNdff72992effWb3xPEazBf1fC/nnXeePS4gm7ykkNS45cFX40bHyeDG9X35atyuExhwMWCIlqtxq5xCxg0zwewuG84xcbwH13Vpo8YtOVzGDdO2zVBj/vJRYZo93XA+ZO59k0aNW/Jw1AlhnRdHyrJw1uouAqsZnPGXW6+Uhsu4kbBkP4HzbX07lD0k40b/wOpw9Gcoxo08Rqff7u7WYLMRDQZOjVsdi9W1hx9+2Nx7770WDthmpS2bVZL/b7XVVrbum2++seVRsVrXsWNHu4pGBkrCIXPFa8aOHWsNIfvlWFHjOsxhVqzwcQ1nxZ155pmmdevW9nsrRmrc8uCrcSNWm5htNmvn1vlq3C4V/iHwsIqWq3GrnELGjcxliwv3RMp8QI1bcriMG6OVP39sntvFmCva5ee1beXyjd815p1NG98zDdS4JQ+RGtsJp0bKsrQSNhZyJ9h8B6PJ76AvGQ+zuIzbSQJp94lCiV7rAy7jNlYgqyfjIEKUORIg+hqfEOP2zXLGHPyYs9ayygxjBu4l/1DjpsoVq2ScyUaI5M4772wN1YQJExaEL1JP+OPLL79sTj75ZLva9vzzz9sU/pSTiGT27NkLzB775bp3727OOussm+gE05a7h40VOOrY83baaafZMMxiFKtxY3DDwdYhHOL4vcBAwJ5t9SsZ7KzecNBrloeEPwnnRMpgwt+M+eo37numgRq35CGc6COBPTXRcjVu8aHGLTmaMG6XX7XI1Y24vpX8ocatNFzGLft86SiwUsFEYO7rqkEtGrdLhPWEYZEyH7hTyP3sQzNufYTlhFsjZb6ixq0o8Q5VeYThevfdd82ll15qs0ay+jZjxgxruDBeGCbKyBBJuCTGi/LJkyebIUOG2JU10v1zHzJFci0JSHr06GHvwypbVlwzbtw4m+Dk/PPPt6t4n3/+eaa2acVq3Ng/00Ig5MJV7xMs+XNmCR0SQc/nd5EH2qsL2UhYRvhTpAz+86Ixz+zuvmcaqHFLHhLpHCr0iJSBGrf4UOOWHGrc0sVl3OiDeb7Q9w0XZgu5r6sGatzSg0ns3M9ejVtyqHErSrxDVROaNm2aNWHsdWMfG2Zs4MCBdiWO0EcSjBDWOHToULvShqkj1JKz3Vg54xrKSFry0ksvmYsuusi+hvsMGDDAPPfcc/bgbf7Nvjbuxere4MGDmzzMO6pYjdsnAjHyx0fKfIXNrRsKxJxPk/e+5yC7mHbXycZ0P9XNSzvKS5cUw/zgUYveLy1qybjxoOAhwZER0fJqkw2TvTJSBmrc4iP72ROGw3vIrm76atwwQBj5CwQGMdEsuRwMzOG0vgx4GSgyGcI+pu4CiShCMG5fCyTF4AysO4Tcc7tCMm7ZQ5h5L7nXVxM1btVFjVtyqHErSrxDVRPCdM2fP98aK1bC9tlnH3v+2tFHH20OOuggMUtX2L1phEVmhdEjS2SzZs3MNddckyk11ry98sorNuU/K28HH3ywOe6442xYJMcDcL82bdpYg0fIJatwxUiNm5Axbr2PbPBlmSsW4aQe8ocat9LJZ9x8xWXcOEeIgSWz6PsI1QgH/mUxY35YSgzNMgt5SFheuDFSBjyUfl7cX+OW5UJhS2F05v++Grcs7Fdh3wp7l1z1PhH97EMwblkw8isKuSveatwqJ0TjxoQZoafZ1eNc1LjFgxq3Bahxq3Nh3qZOnWrefvtt88ILLyxYJcNgjRo1yiYaiYY9EuLItex5w9RlxYocIZIkNOG13IM9cpg57sm/R44caTNQYhb5usVIjZugxi1ZasG4sapyhHC9QHr9apiKj/9szMXXiKl5eCHbCUsIm0fKgNRaozby37i9I3BAbTacSI1bfIRq3HiOMGAkPX20XI1b5YRo3B4XeLaNiZRFUeMWD2rcFqDGTbVArIKxjw0TVuyKmEvZlTwMHwlPSjFquUrcuDEQIxSOB0b02mrD98PDAFPRS977vwIxbqRzJiyLMCgGvNGVHzrX8wTfsmvVgnHjZ00aZ0xb9No0wYht/raZ/FdjBjTPz/v/kMtXn2rMkN38N265MPDl544x+iFT5hNq3KpHSMbtQ+EMwbezunw3bp/90ZhBezbu0I4VVhGuiZTBsK0aogvUuMVDDRg3mkOHNsY0H+DmyAeNeetfcrkaN1WpKtdk5Yr7VHqvxI3bSwIPA98SUBB+wSw/A7CV5L0vFYhxy37fJHVYRxgkZOsI5aOOsL7oa6pNLRg3Vn+YhCBkJ3ptmmSMG/stV56Zn/aXyeWhGjfCoRj8fiX8kinzCTVu1SMk40Y/zVlo32T+7wu+G7d++xuz5pTGHdqvhcWF30bK4KDHG4yeGrd4qAHjxm4Ckn7PXNkNeejYbaDGTRW0EjdurLatKXSIlPkEZ638n7z3/wvEuGW5Ufid8L9Ima/UgnHzgYxxu7Gls3YBl3SUP0I1br4TknHjDKYuAiFmGeP26nYN5iwfdjZajVtpuIybr/hu3B45zJhlvzV9DpFv53o3F1yXaae7DTHm0zXUuMXFDIHnxQuRMt+N21MCfTF9w8hN3J2aC1ZsOQbKdU9BjZvKa6lxE9S4JYsat3gox7j1l5JNhX7RK5SyCcm4RXlzC2OaPW3MJiNlkCssJ/xe4P+5HNInE2/ruE81UeNWOYEYt9PucNZaFv9Z/MWx8o8QjRvPFNovRwW46n2Dw805i+6RSJlPtBES+OzVuKm8lho3QY1bsqhxi4dyjBvhWqSuzz1MXCmPUI3b18sbM3b9hpW0J4VNhYMF/p8Lpu3bZd33qSZq3CpHjVt1YYzEZ+Dj/l0XbL0ghJJtAq76aqPGrWTxDlWBS42bkDFub2/eEIpx3g1uHj5cXqLGrXTUuMVDOcbNeYVSNmRsvUJ4LlIWEq8JnQWyHT6aKQsFX40b+18JRb4782/XNb7gMm6E7XFuHu2atlHN1aBaMm5kFuUcxY8iZUq8qHErWbxDVeBS4yYsvooxKzxqzO+/aGBpYUlhxcz/o6z2uTGPHey+V5qEbNxIOkHyCV8TUKhxU4qBJEBzBN8SUDTF5QJJjV6NlIUC2XL3F86OlCml4TJuhMP9XfBhH1MtGTfGFqzOs0rvqlcqJ9e4xTS2UOOm8lpq3IQVlzam3ZbG9N+ngT2EDYS7Mv+P8tTeDQ8L173SJGTjRmbGa4SrBDrY3OurjRo3pRjo78jAxmqFq95HQjZu3wr0IYT+uuqVwriM23ThGWFipKxaqHFTSiHXuLHi3VFgbEGW7dzri0SNm8prJWrc3hBuEY4T+mbKfIPO9Q8CafX5/h8TOJSbAU70jDTfIJvSCQLhGK56n3hI4MBwzjbi//OEQ4R9BR/3Xnlu3Jg7OPTR/NhI3lCMG4NwBo2sXLnqfYasjVsILSJlvhOScXtL4OD7CgZgSg6fC5cJhPC56quNGjelFHKNG9EPBwucucr+7tzri0SNm8prJWbcWKYm9W0zYYLAuTau11SbqHEjc9IKAg81VoV8DOPLws+T2SXfzmxz8aPA98oZXfxfjVt5ZIzbT0s05I7Ix49LyuWhGDcmSbYSRkfKQkGNW7IQEsmeNp4frnqldHim8WyjT3bVVxs1bkopqHErWbxDVeBK1Lix0rarwN4E1/U+EDVuvYUlhbsE17W+w/dPtjtmVV31vhCicWOge6YwPFKWNpweyv7K208vDCObKWu67+MT5wkcV0DmMv7P6srNAr+Dvg4us4Ro3Gi/9BO+9xFwmrCtQHifq95nSEjRTvA10sRXMsbtpR3d3RrccZoxH/xdLs8aNwbtDwuEfLruWS3eEejLLhRIXBPCJGtoqHErWbxDVeCK1bjRcTJLSnxxKMatl9BcYO9EqMYN80NYKumcWeX0PYuV78aN8D06/2g76CEsITwYKfMVssIRZhZC+GGucSPt9N7C4YLvGfp8N24cqEu/5tuAtlhCNm6EsG8gkL3TVa+4eXZXY3Z6wZhthrr524SFl/97uDH/28+Yodu44VgLwhOi908bJkiIOjpK8H0iiucy/fDkSJnvRI0bP+sXBfoNzHIF++fVuKm8VqzGjfA9Bo3sDQvFuDErw6ZsOq1QjRuhGJsIXQVWPX0/I8Z340YSBB5eX0TKQjJuJMsgAQGp3131PqHGLTk4dJ2kQOzbddX7jhq3+oPzBsevY8yH67q5tvXCy389z5i1Jhmz7oduiLecu0Lj+6dNSMbtfYGsrVdHynwnatx4Nm8k3CtMFbJbM8pAjZvKa8Vq3KKEYtyihGrcGJgtL/iQzrkYfDduUTiAtKfQVuCco6zB8Bmyaq0ukOZ7lMCD2NdMfGrckuN+YXGBM8Zc9b6jxk3J5d4TzC+LGdNvf2PaX+am00XGvLeeXL6fDLpn/W7Re6RJrnHrL/A84bniur6a0AdvJpApN1s2TmA7CREc0Wt9IWrcGP8sJ8QwUaXGTeW11LgJxJ4TVsQAZy2BLIiu63xFjVtycDjtjgIhqK56n/hhKRkorCaDxT8Z8weht3CjsLhwvfBJhM/+aMz3S7vvkyahGTe+J2ZzCcNR45YsoRk3VuqJOGGfphq3ZBDj9vPixhx7v7PWsvzXDVuBvTRuPEd4nvBccV1fTaLGjdUq+mJM5rqZv12vqTZq3EoW71AVuNS4CYRLkt2O/XmcO/eZ4LrOV9S4JUdIxm3cP+V3rqcxaz9vzNLCpsI/hcWE9YSdIxzzgDFjNnDfJ01CM24k92D/I5M7atySJTTjRgIj9kuTkESNWzKocUuOqHFjYgpTREKuwQITEq7XVBs1biWLd6gKXIkatzsFltkryO4TKx//ueGQK+n8G3GTsJGwldAjUzZwL+m8fuO+j2+ocUuOkIzbsK3kIfaePTUgt4lHGbmJXL7OeGNe23bRe6QN4clMmHDeI6bId+PGflJSfJO9VY1bskSNG6G+fQQGwq5rfeAJgeNkugkhGTcmVpmIGBMp8xXpwNS4JUTUuDFm4/nMc5pMja7rfQDj9keBY046CBwsz++e69oSUOOm8lqJGTcfITB+xdk2Rr4p7OU7vGzMxLUbv95HMMihGDe+V1DjlgwZ49bxEmftAq66XP7wxbgBabM3FsiKqsatfHI7svuFxYV7ImVZXK/3jaxx4+B+MhX/WeBAbte1PhCaccv2x08JqwpdBNd1PqHGLTlCNW6LCf8nsDrouqYM1LipvFY9GjeOuKLjz8eL/5HLQzBudKg3CP8RyHjos3Ej/JQEH2R8UuOWDGrcksdX40ZfdVGnxh3ZdsJiwraRMmh1fUOGPtd9fILwJ87BYhadrLlq3OKDn+OxGQhX5pwx2rPrWp9Q45YcIRo3nh1Edf1NUONWlHiHqsBVj8btnJuctQu462T5IwTjRufKQZPMNoHPxo1Uw1sLZwhq3JJBjVvy+Grc3tjSfvaT/2rMkN3yM2ktuZzP/tXtFr2Hj3CkxToC/Zsat/joLmSfG/y+kZzLdZ1vqHFLDt+NGwm1XJ3aPcJ6wn6RMvYDVHCGnxo3lddS47YoatwSQI1b8qhxSx7PjdvNZxuz+tT8dD1XLlfjlgxq3JJHjVty+G7cHjnM3amtKiwlLBcpO+FeY+b81n2fIlDjpvJasRq3OQJnoD0aKfMJNW7VI0TjRoZRvt8/CWrckkONW+VkjFvRn70at/hR45Y8YtzYovnkvsa2dRfXt5LHzT/kch+MG6bnYeF/Ain21biVT+azx79d0tHNFe2MGb2hXF7hZ6/GTeW1YjVunwi7CMdHynxCjVv1iBo3BuTnZP6N2Xdd7wPsycv+bNW4JUfWuJ0ovCEcLbDv5nvBdX01iRq3CQIDm/aC69o0UeNWfdS4JU/fA207L4ozbjNm7gru+1QLNW7lkzFuTa22LvdNPKutatxUXkuN26KocUuAqHFj5pEU3x8IPwmu631AjVs6ZI0bhmhngQQ2tA/aiev6ahI1bhy4TAr1jwTXtWmixq36qHFLnpkrN7T1YiABTwX7nBJBjVv5qHGLRbxDVeBS47YoatwSIGrcXPU+EqhxG7yHMWfdkp9Be8rlPhk3zpHiDJ7thJUF0pO7rvOBqHFz1VcLBqq1aNwmClcKWwlq3OIjVOMWOmrcykeNWyziHaoCV6LGjZA4ZqU5Kyb32mqQMW4XXNewgTkf9x0vl4dk3DgKYDmBA89d1/lAqMaNA4yXFWJMNZwYb25hzOZvuxt1Lhu/22D0XPepFgx4/yIMjpT5hhq36hDaOW4jhH8LHAzsurbaqHFLFyJLvhZOEUhW4sMqfS6jBc5NJEydybS9BDVu8v/aEu9QFbgSM26YtZsEZku/EFzXp03GuJEp9vGD8kNK7aCMG4boQYHZadd1PhCqceNgWvYwvZ0p85kvVzLmmd3djToXluW++L37PtWCg5YHCGRic9X7gBq36hCacaNvHiIwGHZdW23UuKXLy8KhQmfhJcEXMxSF/ebPCUQ/7CP8UVDjJv+vLfEOVYErVuNGRrjLBLLD9RPYr7KrwOyN6/q0YXBz1IPG7N+vMKQomhbDzyRJmMG7WiDRx2OCj+EXWUI1bmsJPGhd9Ur94blxY9Di6s6ykJHNe+M2dXVj+u/TMNGW5ShhFeHqSBkQ7vvdMu77pE3UuLnqfUKNW7owsbqk0CNS5itPCqy20c+pcZP/15Z4h6rAFatxI5kAZoLOaUVhKcEn4/bjkg1ne8xesTBfLy/vZ3H3fXyBVU061YeE1QWfHwpq3JRawHPjhodxdWdZrMfx3bg9cYAxf5hmoyMWsIywuLB8pAxwo5+v5r5P2qhxU/IRknEjm+9kYU9BjZv8v7bEO1QFrliNW5b7hOxDwSfjVgswG935QmMzrGTZW1hS2ClSBpdfJYaJA20c90kbNW5KLfCxwODrCoGQIv7vui5tiA544BhjbjqnMD2PM+azP7rv4wMsCy7znXn48MbdWZSWNxoz/N9y+W5DGvpE133SRo2bkg+ef7cInP3oqvcNzBsrbySK4uBw1zVpI8aNv4jyd3VrcNsZxoxfRy5X45ZXvENV4FLjFhijNrIJKKavasxb/8rPp2vI5Wt8asyQ3Ra9RzXw3bixP+ztzRv/EE8TVhfuipQBaaZZvXXdR6kPGJwzGz0uUqbEQ8a4nXaHs9ay+M/G3H+s/MMn4/aCQMZADlx21fsExo3ES2sLhNqzJ891nVIZmB727rKNwZckbaHCqev/eqs4zruhojP81LipvJYat8DIGDcm1zccnZ8bW8rlatyKZ+Bexmw2ovEPcVVhKWGtSBmc2r3hPCHXfZT6YJrAgIysua56pXxCNW5zBYy8L8m4mgLjtrRwnUCGQ5/P0wwZ9v2fKlwk6M+4Moj1Hr1hcXz8Z2Pm/8p9nyJQ46byWokaN0IwSFFPtiLXdUrpZIwbxsxRuwByq3hp3OCGzP9d11WL3keKSfvBPN3MmE4XubnuAhmX/VMub/a0P/tqlOrwonC34HMGzFAJ1bj5yid/MuaO0xp3ZgcLSwhHR8qAcDTCOVz3UUrnK4HQao6F6CSMElzXKV6hxk3ltRIzbosJPSNlSjyEatwmCBh59oD8WugjuK6rFhnjdsqdzlrLEj8Z8+BR8g81bskwT2CvDfsrXPU+wcHK6wsctOyqV8pHjVu8vLCTMX/5yObbYitkPub9Wi7nfMcRmy16D6UyQkpOoqhxU/ktNW6BEapxIzPV68LZgho3xcXjwmHC8EiZr6hxSw41bvGSMW7kpNlzUH443lGNW0KocQsKNW4qr6XGLTBCNW5ZbhPUuCkurhdWFshk5qr3CTVuyRG6cXtL4NgIX7YIZIwbSYYdtQu4vpX8ocYtGdS4BYUaN5XXUuMWGGrckkGNW/VR46ZA6MatpcBeXl9Sv6txqz5q3IJCjZvKa6lxCww1bsmgxi1dRm7ScBjXyXctZCthGaFZpAyuudi/hAlq3JIjY9xe2d6Yu0520+OkzHlNPhq3FsIWwphIWTVR45Yuk/9qzBXtGvdhOwuLCztEyuDiaxqOl3Hdp1oMETgiYmSkrM5Q46ZKRD///LOZO3eumTJlipk3b16mtHRVbNw4K4OTUF/acSFthMUyf0fL39yiorM1FCFj3PocYsyOL+Wn+6lyuRq34lHjli6cybPSl2bi2o27iFzsOdHbvZoZpTvukwZ81rnf2FHCX4U7I2Uwdv2K0lArwvM7NxgyV8eWC+c1+XY0hxq3+oZxzgZjzJQ1G3cNuXz0F7l87YnGvLzDoveoJl2F3wkcwO2qrwPUuKli1y+//GJ++OEH8+abb5ru3bubCRMmWCNXjio2bnTyuzxnzFqTFrKK8H+Zv6Pluz6rD4VKyRg3/O+ktfIz63dyuRq34lHjli4Z49b+ssZdRC58LFU3bqwA5X5jvxWWFFaPlAHxfaTvc91HKY5vlmtYtXB1bLnwe+ibUVbjVt9kjBuTp9GuIReiZtS4+YkaN1Ws+vHHH820adPMoEGDTPv27c3xxx9vhg0bZubPn5+5ojRVbNyGbmPM3z+wM0hXts2P7Zv+8b4xr2+96D2U4iFkjCdC2ysLc8N5xi5puO5TIc8/v5x59NHfmtmzmxg08bW7nN+4ITQXlhQOjZTB7ac35KR23ScNMsYNP+H6UcJVlzec7anGrTxGjVrG3HbbSmb8+KUWGDcWTNxXN8DxU1U3bj1OMj8vbsxjBzduslE6XpI54+/AvhpVkADDhy9r7rnnd2bKlCWd9VVj2FaLNoYthdWFMyJlQAOiIbnukyR1atwmTVrKdO++khk5chlnfWJkjBvH4jlqF9BWmkTVjRthmnyj0XbaTFhGOCJSBsQo+7a6nRBq3FSxCGP27bffmk8//dS8/PLLYrSuMM2bNzdbbLGFGTx4cNWNGzPnjtoFdGgjf6hxqxloL4cd9mczebIMwh31lmd3NWbNKebLlRo8XD7m/FYu32yEMe9uvOg90gIjQfvkQVqI4+8zZsYq7vsoeende0Wz8cbrmkGDfhOccftpCWOO7uWstaww15i+B8o/1Lglwq23/t785z9rm2HDOGzMfU1V6NbCejHmnFx9GxAS9+2ycvlRDxrbkFz3SZKMcWMez9WdZWHfYC0Zt+eeW17GR38zPXuu6KxPjJCM21N7G7PKDPPF791tN4vt0rZ+3Zj3/7HoPWoQNW6qWDRnzhzz9ttvywPsVnPhhReaHj16mJYtW6pxU6pCKcbtzlOM2eHl/Dx6qFxebeOGEXt1u4aHaCFYdvuhifetOFHjppSLz8aNyM42Hdx9G+zfz5g3tpTLq2zcMJCu7izLp2vI5WrcKidA43brme62m+WJA+RyNW41Id6hKiV9/vnnpn///uaWW24xXbt2NUOHDjWdOnVS46ZUhVKM26VXO2sX0PVc+aPaxk1JHDVuSrn4bNz4uPnYHbWW1T435ulm8o9qGTcG262vNXYDbyGICf/4z+77BIYatyLIGLcLrnPWLgBjp8atNsQ7VKUkskc++OCDNkyScEkySd59991q3JSqoMZNKRU1bkq5qHFTSkWNWxGocXOixk0VizBqkydPNtOnT7f/JqukGjelWqhxU0pFjZtSLmrclFJR41YEatycqHFTxS6OA/jpp59iNW6nnLKGeeml5Urmndt2Nt/+aXxRxu3bP31o3rl9J+d9lLCgvey1119tZklXPbzbtbn5fpVPizJuX6870rx1z1bO+yi1Qbt2q5oNN1zX3HDDymbMNYeYn1aYZROk7jUwPwP3Eh+00etmeO+NnPdMgw8uOqNo4zZzhyfNa4NWc95HKZ8LL1zNbL3138ydd67krK8W41u2Ktq4Td/tEfPy8/n7SyVeunX7vdl003XsJKOrPilG3Lm9mffXcfasVVeflqXX0cZ8t/pkM/Lm3Z33SYPRnQ40P644syjjNnf94ebNXps671NrdOy4iho3VbxKwrgxE77NNn8rmVM2PMR8ssykoozbx8tONCdveLDzPkpY0F7WX39ds+WW7nposf4xZvpSnxdl3D5Ybqw5ZuO9nfdRaoPNNlvH/OMffzebb76OuWC9U8zcJebYI8844SIfZON79zdvmUM328V5zzTo8LeLizZuL6402Oy65SbO+yjlwwB8vfX+Ls+7dZz11aLLWu2KNm6DV37SbL/13533UeLnX/9q6G/od1z1SXHiRvubSb/+0Mz7tbtPy0JSm6nLfGJO3+Bw533S4Pz1/mtmL/llUcZtzPLvmMM33c15n1qDZ5QaN1VBTZ061dx///02ayTcfvvt4vxfytQ2VpzGbe7cuebJJ5+0WSrL4clLnjRz/jDHRkB2vjA/1M9ZbY55sk35X0sJi4GtBppvfvdNUcbtiz9/Yfq27eu8j1J7PHP7M+b767+XzkEaQAGm3TDNPNr9Ued90uDlE162Kd8HNJdvx9G3wU3nNByJ9NFmH5meN/d03kepPYYeObRo4zZhqwnm7u53O++j1A797uhnZnWZJR2DfPgF+KrLV6b/Hf2d90mDp1s+bb77zXdFGbfpa083fa7u47xPLcL4evz48fLua0t8nqqY9N5775nzzz/fHHfccfZQ7RNPPNH07NkzU9tYcRq3ijVS2EfYqAj2Fd4VVPWhZ4U17TYQs9Go/DxwjFxHBmptGyofJYNyZ3/moqXwjaCqD3VrWDlpeaN8/I6+DXZ+3pjXtpVrjxJ+sq9SqfzQU8IqDYevu9pulocPl+tIT/A+L1KFLDVuMYrDtSdNmmQ++OADy4cffmgTkbjklXFjkDJWeLsIuE4HNfWjjHGburp8/Jvnh7ARNW4qb/WF4OrPXEwUqtQVq6ogMW7zf9VwSLGrb4NRYuhtvho1birflDFunOHnartZOOZUjVttSI1bleSVcVOp8ukD4QqBVYhCEDoyVVCpVKpQxG4GV3/mggCanwWVyhcxmU7Gb1d7zeUGwb2WoApIatxSFEbt66+/Nl999ZXdlzZr1ixz2223mX/961+mX79+Zvbs2bbum2++Md9//701dyqVSqVSqVQqlUqlxi1FET7ZsWNH07p1a3PBBReYVq1amQMPPNBssMEG5uijj7b/p/y6666zmXAwciqVSqVSqVQqlUqlxi1FseetU6dO5tJLLzUXX3yxBbPWokULa9iyZTfccIPp37+/mTNnTuaVKpVKpVKpVCqVqp6lxi1F/fzzz+a7776zkMgkH4RJ/vjjjxoqqVKpVCqVSqVSqazUuKlUKpVKpVKpVCqV51LjplKpVCqVSqVSqVSeS42bSqVSqVQqlUqlUnkuNW4qlUqlUqlUKpVK5bnUuAUqEp2QwIQz38g+ydEBnA3H/zkvTlW/om388MMPti3QLoA2whmCtBnqc8Xh7yTF4RzB7Gv4N4l0NElOfYrPnb6EhEm0BdoH7SRXlNFO6H+ybYe2pmdR1of4jF1tgD6HMupy20G2j6KdZK+njdHWXG1MVZvKJmyLtgPaTaH+Jt+zyvVsU4WtbP/CeIbPuCk11TbyPYuyz7jsODo7VqJ/8lVq3ALVvHnz7PECAwcONLfffrvp1q2bue+++8zTTz9tpk6dqgOmOhYd1dixY82TTz5pD3inbdx1112mb9++ts3QdnLbx8yZM80777xjHn74YXPrrbeam266yf572LBhtlPT9lR/4gH4+eefmxdeeME89NBDtn3QTnI1bdo0M3z4cPPAAw/YtnPLLbeYPn36mBEjRtiHorad2haf8RdffGFef/11c++99y5oA/Q5lM2YMWORyUQGSPRR9EnZPqpXr17mxRdfNLNmzdI2UyeiHdB30F/QbmgHd9xxh3nwwQfNyJEjbVvINWO0NeoeeeSRBc8q+qehQ4fawb22ndoSfQfPGMYzb731lm0P+T5jnk88d2gP0XHMG2+84RzHcK8pU6aYl19+2fZX9Fu0vyeeeMK899573rYlNW4Bis7u3XfftQ9JGmaXLl3M9ddfbzp37mzPiaOB0+hyH5aq2hadDB0cDzA6H84D5DB32sW1115r2wZt5pVXXrEPOGanmFWaPn26HZzT0d144422PfE6ruc+DKY+/fTTzFdR1YuyD0vaAedL8u9JkyZlao2dxcTYDR482D7wunbtuqDt0N7uvvtu89prr9n7qGpTDIY+/vhj87///c/2FdlnEJ9/hw4d7ECcQRCTidkVlKzJyw6sss8vXsf/aU/RdqaqTU2ePNk899xzduKZZxXQj8DNN99s7rnnHvPss8+aL7/80j6niBZhEuCll15yPquYAHj++eftQFwVvjBV9BmMZTH25513nundu7ftQ3INVXYcw+fvahvdu3e37YZ+KCvGQJ988ontn2hvtD/6oezzi8kDjCLjbd+kxi1AjRkzxs4O7LfffqZt27a282MwTkd3yimnmNNPP912YjRMVf2IDg2TdfXVV5tmzZrZtjFo0CBryuiELrvsMttmOPSdh1s2PODVV181V155pa3r0aOHvZ4BN53Xqaeeas444wx7H1X9iAcjk0OnnXaaOfDAA82xxx5r+5fRo0dnrjB2EEVbueiii8zhhx9uH6q0P/qjdu3a2deeeeaZtm9S1aYw7vQNhx12mH3u3H///fb/AwYMsH3JUUcdZeuY0cawYfYZDDFA2nnnna3ZZ7BFH4TJy/Y3zJKralf0L6yYnXvuuea4446z7YA2QETI22+/bR599FFz8skn2/pRo0YtCJ9kUrJ9+/amefPmdjCefVYx2M62nf79+2e+iipkYcYw7Xfeead9Bm2yySamY8eOzjOOMVc8Z6644gqz//7720lD2gZt6pprrrFtg2cRk0JZYdrop3hOwVNPPWXNHZNQF154oS1r3bq1GTduXOYV/kiNW2CiwfJwpGExq0Dj5OHJbAOdXnYgdckllyzo8FS1L9oFgyJmjc4++2xr7HnIsVJG+2AGm1luOqLzzz/fhigx4zlx4kQ7yMa4MTBnsJ5tT/wbw3fMMcfYhyQdXaEYc1VtCIPG4ImH3jnnnGMHRD179lxg3Ghv9C/0Q1dddZUNc3v//fft6tpnn31mw1UYuB988MG2jnbIA1dVWyI0n/4DaC/0J3zWTAzxPOJZxXOKwTX9CgMx/n/ppZfayUVCmLL9DaGTDJowgKzc0Wfp5GNtiv6DlRAmhFhhY4BNG2CPJAZ//Pjx1txffvnldqX/o48+siu7rOIyOKdvIXQ723boizD7xx9/vF1x4VomJlXhiZU2Pr9nnnnGGjVMPZPR2267rdO48W/aC2MYJquJKqI9RMcxhPEfffTR1gRmxzFMMrZo0cJOUDMe4mvy/KKefomxFGMfDB33iX7NakuNW0BiBoKZBTqzE044wc4wRPec0ODZv0SHSIN87LHH7INUVfuiU+FBxcOOBxuDaDbYRsUgiJAAjBsDI4wc5u6QQw6xHSMDrehAifbEAPy///2vneVkUoA9B6raFeHV9CGEpvDgIoyE2WzCVHj4Ydxoa7QTBu277767HYjTzxDWkhWrv8xeHnroofb1DNx1EF47om9g8MOgm8E3pm3ChAm2/dDvsDpCf8RsNX0Mpixr5pjJvuCCC2xddGKRezJAp46JR1bumARQ1Z74rDHvTOywH4m2kxV19BUMshmMY8gYiL/55pvmyCOPtIPzDz74oNHzjdfQN9G2mERg1R8DqApPPDvY98jkc8uWLe1zB2O12267OY0bzyuM/0EHHWTr6WMoy4q2wSo/Y2bGObQN+iImlVj1Z2IRs8Z1iHvzPTB+PuKII2woL+MgNW6qssRsJWEEZ511ljnppJPsDAENLCoaNQ2dPSl0ejw0VbUvOhU+ezoYHnAMmrIdUVZ0ZsxUsupG26AzZMC155572r0lvD73Ncxk0dnxkMX06f6B2hYDbgZRzEIyQOLzpo1EjRtthNUQVmi32247mxQp92GKSCDQpk0bG6JL6Ar9l6o2hGljvwj9COacz5r+hcE0hoxZbp5PTPRwLZOOrMQNGTLEDoZoE5Tl9jfMbNPP0G4YhPkYpqSqXPQV9DGEWLOKxgpHVrQLVj6YLGSSkTZDPc+rffbZx04EudoOfRL35FnFZBKTAKrwxOQP4dOPP/64HcvwDOLvvffe22nc6Gcw93vssYftO1zjGIw+7Ym2weQ25o12xPOL8ElXPohs9BoLJXwvufesptS4BSSWftmsS9w3+5R4yOWKBkhDZEWF6/gFUNWH6FgYHDPTmNvJYPAp5yHJLBZhb4Sg8DcDLwbWLjHY4hpmMen4CK9U1aZ4GLIyQmgKKym0D2a+WXWLGjfaEjPgzESy14SZSZcw/YTYsgLMPdkTp6oNsVJGqBrmnvA0wpp4NtGPkKSEiSAiP5jVZjacdsTAmgHQiSeeaJ9PLhFRwjX0U6y8YQhVtSf6GsYpfM6ExvI3e2QJlWUFjgE4zxtWXVjNZ8KalRFMP+3LJVZnuYbQbSYU6H9U4YmxC+MMzBbjGSaEmAjiWeMybkzuEB7J6i1/u8SKGhOM9FdMChFRQv/EREC+Pdj0b+y7ZRGE1+YuklRTatwCEjMPdGyEkTCQdqXmpnExO0Xnxr4UHqiq+hadHAMiBkGYeQbhzGAx68RA6+STT86bDIDBNiFL7HVitkpDb2tTPCxZbSOeHyPPg42BEBNBLuNG+2GPEmFyvMYlTD/9FQMp2o9rokkVpugXmBTks2XjfzajJM8cBkaYLlZTMGl89qzi0v8wOGfPJKbfJdoge08w+kSWMGBX1aYYzzDpQ4gbA2hMGQkk2Fe066672kE2kwGs2DJRxKCcUEj6IZeYmMQMMiAnqoSBvyp88bxpyrjRrxBJRBQa0SEu8ezh6Cz6IsZATEaz4sakE2GZLhFyySQCxo2wXTVuqrLErEG/fv3s0i0N0BXDTeOiIfIgpZOjI1PVr+jgCCthVolZSEJPWAUhhInBN8aNh2W+VRMGaOxlor0xIFPjVpsitJbQEPoNwtiY/KHd0H5cxo0+hsE3pp/24VLWuDHJxANXjVvtiM+SSUH6BLJG8jeDJvbW0kcwaMZ0sZJC/8JKCM8ujBvRIqykuBQ1bphA9qaoalOYedoDe6wx+ay8MahmH9uWW25pB+KsdDDOoS3xb/buM5h2ietokxg3kibRFlXhq5BxY2UM40Z/wWq9S/RXTEDzeiaOmATguADGyPn6GIwbE9pMAjBmUuOmKksMhEhfymwmqx+u0CMaF/vayKzEA1NX3OpX2QOUmbUk9ISHGfuSMGy0E2YxMW6kY843i5k9y4sBGAN6NW61J2a02SfAvhAMOmaLz5n2AwzIsw879lASuoJxo49h0M71LjHRxIQAM+fsPVHjVjvi2cOKPRNBpN+mLUTDGlnBxfjTdogQYZ8sfQ0DIQbohFK6hHFjTxP7UMiOqytutSfaBROH7Fmjv6FtMAlEW6G/YHWDyWn6HPoOVkoYdGPcSDDBM8wlIpBY/eeerJLoilttqJBxYxyDcWOllizYLjEO4jnFOCY7CYnBZ5WXJG0ucX4c19GWmGhS46YqS9lBOLMEQChTtAEjGhchLMxY6h63+hRtgoETgyvOT2ImCti3FDVedEw8BElOwsArty0h2hiDLR6uhEXpHrfaEwMesj4S8oY5J4Qpm0oZGDAx2GZwRXuiDvPPZMAOO+xgH5autsOeJkJSGHyRodI10aQKU6xu0GaYHCTMjVlrJgByhdGnj2Gykf0iDMwx+7QJV5th7xzncDGoYmWO2XRVbYnPmL207LUmlJZJoGi2YowdfRJ9BqturLJh5tgvSVtjbONqO0wyEuLN4Jx9tbrHrTZUyLgxjsG4kZyEZ5SrbbDowUot+yaZSKIf4t877rijHSO7XoMhZKWNaALd46YqW2zwJlMShoxVEjZl5p5VQqOmgfJgJIZXQ03qT8xa05mxQsLKLA86BkM8yKIplBl8EeaGcWOgxD442k9UhLNQh3FjAKbpuWtPtAsGPPQrDJJYeWNFhIE2MDjnoUlYJAMiBlHDhg2zM+TbbrutDa9kMJb7YOPBR3guAyn6JNqXqjaESaMvoH/h4P58xg2DT3vBuBEuyf85T4lsbSQeiB4hgTD3DL6YJKLtEa6kqi0xiGYFjUkiPmcmijBrWTHpyLiGSWoG1/vuu6999rDCy795FmH0cp9VjI0If6OeFRLuqwpfhYwb4xhWZTFurNTznMnNEskzjqgP2gb9ERNKTGRvtdVWNoSbcVGueWOSMrstiZVc2qUvUuMWkGjAdGgMpJkdzx5MmW1wPASZIafxEhZHg9QVkvoR7YDPnxlMVjropLJn2vCwzBUdIDPazHpyHSED0ZlPQuIYoDNwJ/EAHZkOvmtP9CGEp2H0WUXLhSQRPDRPOeUUa8QIeWNigHPayOSVnSDKTgrQDvk3Ay82f2MCaVu0J1VtKBsKyUo9nzHPIsJtKefz51mFkWPCiMEW5p32wDWspPF8ov2wSpIVzzbaFTPc9EeE+UfrVbUhDBXtgkEx7YJjJXJNGP8nGynPHSYGmCQaM2aMHfcwecR2kOjxIvQt9EGs4jFAZ5+kHj9SGypk3Pg/IdX0Qxh9xizRcQoLHrQXoo54VtHvME5i1Y2JAIwcbStr9vh6HARPm2PFl+cdYeDRr1ltqXELTDQeYnVZUWPTJAOu7EwAs5UMkNgbQAeGaXPNgqpqU3Q8DHYwbMxqEz6QXWWjM8oVbYmHKIOv7EOUGe5sB0X7YfM4HSaz4K6ZLFX4om0w6cPgh4dcLoTKshJHe2JSgOtoB+whYZIou6rLAIy2Qx3tjlnvnXbayYZSulbkVGGLz5r+BpNFG8C8YeZ4HvHcwXQxW82+JFZcaS+0A0LeGHyz6sZgO9vfMLnEzPZRRx1l+yIG3tGVGFVtiBUSVl5Z4WfLB5OHtIusaA+YePYX0Ua4DiPGCi+hazyraHNEHGXbDpNPDLTZb8lKrWtFThWmChk3/s2EECtorOJyDZFClAMh+6z2cw4c7YdxDPfgWYbRy4ZC8lzjev7GyLFAwtdkjB2NVPJBatwCFA2RJCXMftPwmBVnVoC/6dCYVSATHCFzOliqD9GxsH8N08Y+AELYMG90SoSjMBDKQgeXXY3ldYS0sULHJlw6K9K805ExKOd+DMqZEMjtMFX1odysklnxACTkBINGO6PfIWySsCbaEQ9Qwi4ZmGHmtO3UnhgwMbBhlYPJRP7mM2d/En0HZfQ3tBsG5xgxsv0xyGbVjTbCxBGrvfQzPM8Id2N1jv7Gp/AkVTzC1LPikd07TV/B2IV+g4lCxjK0Acw9fQphcLQzBtS0I/ohJq2jz6psiCTtjpU6fVaFKz47Qmkx4PQJfLaMTbbeemubgZRxCZ8zK2UkuMmOYzB3tAWuZaWWyebccQyrcdm2QRtkJY7+iskA6rknME6iL+PfmEDfJqzVuAUoHmbZAwUZMLH3hIEVsNJGoyeBgJq2+hEzjCznM+N0wAEHNAkhb3SGGDY6MNoTs090hmTyIhEFgyraEg9HOkQNkaxfsXmbhx+TRaykZZVtO4TQMsAipBZoO7QjHrysshB2oqpN0QaI9GCPJKtupHUnZInwa/ZhM7BmdSW6F5s2Q3IKDB1hk4S/8TcrKwygSHriOqNUVVtiopEJxGx/QYZSPn/+ZpWWSWjqo6tntB3C4hhs83yKPquYBKAuGu6vCk9Ef2C6CFOkD+GsUCahOe+PxEb8H4gCwaAxPsk+izjGhnEMdYRGZtsG1zHeiY5jeA2TCKzyY+wYR/M6+iL+ZnzNSm607/JFatwCFTOXPDCZiSK8DZgZoKFll4JpmKr6EDNCzEgS+shguSl4YBJ2wvVZERJHGau52fbEdYS/cZ1vM06q9ITxom3Qr7hCr1nZp53QXqJth8kjrtcJpNoWzxrCGplMpH8hhI29ajyPCJekb2FQFRWDIeqYLY+2Gfov2pP2N7Uv+gZMFmMYPnvaCzA5BLQF6nNX62lP9C2uZxV12nbCFp81fUNum6Bv4bPOltF35I5jWHlzjWOy1+U+i+iXeK4Rps3X4Hr+5vWMrzGRuX2XD1LjFriyMw10VjpAUlUq2hPtiMGYjx2Wyl9F2050oKWqH/G58ywqdvCs/Y0KRdtBrlHLJ207qnwqtW1wfXYcXWz7q6bUuKlUKpVKpVKpVCqV51LjplKpVCqVSqVSqVSeS42bSqVSqVQqlUqlUnkuNW4qlUqlUqlUKpVK5bnUuKlUKpVKpVKpVCqV51LjplKpVCqVSqVSqVSeS42bSqVSqVQqlUqlUnkuNW4qlUqlUqlUKpVK5bnUuKlUKpVKpVKpVCqV51LjplKpVCqVSqVSqVSeS42bSqVSqVQqlUqlUnkuNW4qlUqlUqlUKpVK5bnUuKlUKpVKpVKpVCqV51LjplKpVCqVSqVSqVSeS42bSqVSqVQqlUqlUnkuNW4qlUql8lrffvutmTJlipk8ebKZOHFik3Dd3LlzzQ8//GB++uknM23aNPP555/bsh9//DFzR/81f/58880335jp06fb91+Ofv75Z/tzmD17tn3/v/zyS6ZGpVKpVCFKjZtKpVKpvBbm5dlnnzX9+/c3/fr1szz22GPmoYceMn369DF9+/ZdUM51kyZNMl999ZWZN2+eeeWVV8xLL71kJkyYYMtCEKbtiy++sO9j1KhRZtasWZma0pQ1f2PGjDHvvfeeNXFq3lQqlSpcqXFTqVQqldd6//33zbXXXmsuueQS06pVK8vxxx9vmjdvbo455hhzxhlnmPPPP9+Wd+rUyQwdOtSavRkzZph27dqZyy+/3Dz99NNm6tSpmTv6LQwn3y/mNPteyhEmDeP2wAMPmPvvv9/+PL7//vtMrUqlUqlCkxo3lUqlUnktDNf//vc/u8LWq1cvS4sWLcwWW2xhTjrpJGvqMCeUP/nkk+bDDz+0oYHAitzDDz9sRo4cWfbKVZrCWH366afm5ptvNnfccYcZP358RSuF3333nf3Z3X333WbQoEHmk08+ydSoVCqVKjSpcVOpVCpVcOrZs6fZfvvtTdeuXc2IESPsfq5cseLEPjf2thE2yP+5DnNEeXYPGOaGfWTZckQdr8vW8Xf2NS5lvxb34Prsa/g/X7tYffnll+att94yl156qbn11lsXCW3Mvofo9539WpTlfi2+J8zfE088YS6++GK7gpd7T5VKpVKFITVuKpVKpQpOxRg3zAwm6I033rCJTb7++mu7escqHK8haQkhiffee6+55ZZbbGjiO++8Y80OdcOGDbNf5/bbbzf33HOPGT58uA03dBkfzNPbb79t99thuIBVLla7WAHknsUYJva08bqbbrrJDBw4cJHXYAQ/++wzM3jwYHPffffZlbnbbrvNhkJS9vHHH2eubBCv530/88wz5ogjjrDfD99rPgOqUqlUKn+lxk2lUqlUwakY40aoJOGVmJrXX3/dzJw504wePdqcc845NgyRpCXUcY/27dubK664wtx55502kccLL7xgQy8xRtS1adPG/vvFF19c5GtxX76HHj16mM6dO5vrr7/edOnSxf59zTXXWEM4duxYu3etkDBYF1xwgXnwwQft95pr3DCBrJ7dcMMNpmPHjua6666z+/r4OldffbV56qmnbKglq29Rvfbaa9a48X7JvBlShk2VSqVSNUiNm0qlUqmCUzHGjcyMmCcMDvu7WG3DwOyyyy7m6KOPtqZnwIABtgwTh6Ej6QkGjdfwWlbrWJXj2kMOOcS0bdt2keyMvJ7rTz31VPsakqmQEZJ7EvJ44YUXWqOFoSokDNsBBxxgDRjff66oP/zww22ilkceecR+Hd4/JpP3xNfD2BFyGRV7/Fq3bm26d+9uv1+SlqhUKpUqLKlxU6lUKlVwKta4sQIWXYl69dVXzX/+8x9rsnr37m1X1zjrjTpCIs866yxzwgknWIND6COhkaxQcawAGSzPPvtsa8xYzSP8kTPSCG086qijrOHDFFGHMSKkka/HSt7JJ59swzbzGSa+fwwhK3577LGHXfEjLDIrjCL71wiLpJ4VQ8I6uR8mbdy4cXZlj/fJ1yE8MipW6ggHvfHGG22yFr5vlUqlUoUlNW4qlUqlCk6VGjfCEQl7nDNnjr0W00SY4pVXXmn22msvu1ctuqpGOOTpp59u/vvf/1pTxR44Qh9J/MFxAzvssIM1ghgojB6QwfGjjz6y9Xvuuadd3cMkukToIt8vxmrXXXe1oZ1RZY0b5mv33Xe3xo09eHwN7smRAXxN3iNmMzcUkuseffRRG1aJweQalUqlUoUlNW4qlUqlCk6VGrfLLrus0coURofVMozRKaecYg/yjop7cQTBaaedZp5//nlr3Fi1YiXuvPPOM//+97+tGSQkEvOVhe/vyCOPNLvttpv9nln5comVMw7K7tChg9l7771tiGauMG+slh166KFm//33t6uGhHASJjlkyBAbDomJcyVCIUwU48jPg+9RjZtKpVKFJzVuKpVKpQpOlRo3VsEINcwaN8wOK1iESGLQWFWLinuxB45Vt6xxowzDRPl2221nD/u+6667FoGvTx1mkFUxlzirjdBMruNgcZdxQyQs4b2zMsjeOfa6EYrJ6wATx31yQyUJ22SfHytumL1yD/VWqVQqVfWkxk2lUqlUwSlJ44YRI4wyqqaM27nnnmtX1MjYyDlpufA1s2GNuYYqK8p5H1dddVXeFTfE++RaVtfY08b7u+iii+z+O34erO6RIIUVtqgwbhwvwGHlatxUKpUqTKlxU6lUKlVw8sG4sT8Og4VxYt/Zc889Z6+bNWtWIwiPfPfdd+2/+TouceYcZ82xIsa9cve4IcIfCanka5CQBDM2YcIEu6+OkE3OdeP7I7nKBx980ChckvfOGW7cnxBODZVUqVSq8KTGTaVSqVTByQfjxkHWJB9hFYuEJhzsHQ2FJCske85YleM8OVbB8hk3ytkz161bN3tcwcsvv9zoWv5NOCVG8fHHHzcTJ05sdC4cRo7VPb5HjhPg3LioceN6zpljtY0smLwflUqlUoUlNW4qlUqlCk4+GLesCJHELF188cU2HDErMlFyn/PPP98mFBk+fHjBQ7gxVzvvvLPNcBk9OgCTyIocoZSsyBEmyfvJiq/F98X3eNhhh9ljDqLGbdSoUfY9E0bJyls2m6ZKpVKpwpEaN5VKpVIFJ5+MG9kgCVMkWUjLli1t4hAO5G7fvr099Pqaa64puOKWFYdnc+QAqfsJg8yK1/G9chg49yc8s02bNva9cX8Sk7DXjkQlfC+5e9h4b4RQclYdPy+MoEqlUqnCkho3lUqlUgUnDAzZHwlPZA9Zbvp7xEHYGCZWxDAurEqRlRFzdc8999gz2LIGhjPS2CvWv39/G66IqYuKe3H+Gan0MT6EJmbFKhqhiJiiVq1a2cO2OciblTZW4TBjJCaJHqidT4Q7sg+Nc9oIl8x9X9yH1bi2bduaM8880xpJDgXnPWHcOEuO/W3Z98Xr2T9HRsuDDjrIZp3MHhmgUqlUqrCkxk2lUqlUwYkwQgwI+744PNslVuEwXICRwZxl950RKsjrssaIv/k/q1okEck1WdyLcgwbRoh7ZUUd58CxR42VOMwVe91YYWPli+8Ro+Qyl7lizxzhlqzWPfDAA4u8hvvw3jGh3J/r+XqsJvK+eK/R98X3SR374o466ih7JECx34tKpVKp/JIaN5VKpVKpYhKGCCOHYXKFbxYSJo/9aRzEzWHghGjmW6nj/pgwyPe1eC2hnaww3nrrrXbFUaVSqVRhSo2bSqVSqVQeiVUz9toRekl2SFbyyhEmktU5QkW5HwlKWDVUqVQqVZhS46ZSqVQqlUci7PL999+3iVQ4SiD3MO1ixUocpo/wyMGDB1tDSJlKpVKpwpQaN5VKpVKpPBIrZSQ8wbBxcHc0EUopIlyTFTdMIBkqywndVKlUKpU/UuOmUqlUKpVKpVKpVJ5LjZtKpVKpVCqVSqVSeS41biqVSqVSqVQqlUrludS4qVQqlUqlUqlUKpXnUuOmUqlUKpVKpVKpVF7LmP8H0vvLUPOJS7AAAAAASUVORK5CYII=\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":1744,"title":"Make a Plot with Functions","description":"Make a plot and test","description_html":"\u003cp\u003eMake a plot and test\u003c/p\u003e","function_template":"function h = makeAPlot(x,y,color)\r\n %%Make a plot with xData (x) yData (y) and color (color) and return the plot as h\r\n %% such that \"h=plot()\"\r\n\r\n\r\n\r\n %%end\r\nend","test_suite":"%%\r\nx = rand(10,1);\r\ny = rand(1,10);\r\ncolors = ['g', 'r', 'b'];\r\ncolorNum = randi(length(colors));\r\ncolor = colors(colorNum);\r\ncolorCodes = {[0 1 0], [1 0 0], [0 0 1]};\r\ncolor_correct = colorCodes{colorNum};\r\nh = makeAPlot(x,y,color);\r\npoltHandle = get(h);\r\nplotColor = poltHandle(1).Color;\r\nplotX = poltHandle(1).XData;\r\nplotY = poltHandle(1).YData;\r\nassert(isequal(plotColor,color_correct))\r\nassert(isequal(plotX',x))\r\nassert(isequal(plotY,y))","published":true,"deleted":false,"likes_count":9,"comments_count":2,"created_by":15424,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":1016,"test_suite_updated_at":"2013-07-23T21:08:14.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2013-07-23T20:50:39.000Z","updated_at":"2026-10-27T23:40:08.000Z","published_at":"2013-07-23T20:53:19.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eMake a plot and test\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\"}]}"},{"id":55420,"title":"Power Outages Histogram","description":"Create a function that takes power outage data as an input and creates a histogram of the number of outages as a function of Region. Note that the Region column of the power outage table contains a cell array of character vectors.\r\nRotate the x-axis tick labels by 30 degrees and label the y-axis with \"Number of Outages\".\r\nYour function should return the figure handle as output.\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 424.667px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 212.333px; transform-origin: 407px 212.333px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eCreate a function that takes power outage data as an input and creates a histogram of the number of outages as a function of Region. Note that the Region column of the power outage table contains a cell array of character vectors.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eRotate the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e-axis tick labels by 30 degrees and label the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e-axis with \"Number of Outages\".\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYour function should return the figure handle as output.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 313.667px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 156.833px; text-align: left; transform-origin: 384px 156.833px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"678\" height=\"308\" style=\"vertical-align: baseline;width: 678px;height: 308px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function f = plotOutages(T)\r\n    f = figure; % gets the figure handle\r\n    \r\n    \r\nend","test_suite":"T = readtable(\"outages.csv\");\r\ng__  = plotOutages(T);\r\n%% Is there a histogram?\r\nassert(isequal(g__.Children.Children.Type,'categoricalhistogram'))\r\n%% Are the XTick labels rotated by 30 degrees?\r\nassert(isequal(g__.Children.XTickLabelRotation,30))\r\n%% Is the y-axis labeled correctly?\r\nassert(isequal(g__.Children.YLabel.String,\"Number of Outages\"))\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":6,"created_by":140016,"edited_by":140016,"edited_at":"2022-10-10T14:27:44.000Z","deleted_by":null,"deleted_at":null,"solvers_count":279,"test_suite_updated_at":"2022-10-10T14:27:44.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-02T17:58:22.000Z","updated_at":"2026-10-27T14:06:50.000Z","published_at":"2022-10-10T14:27:44.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCreate a function that takes power outage data as an input and creates a histogram of the number of outages as a function of Region. Note that the Region column of the power outage table contains a cell array of character vectors.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eRotate the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-axis tick labels by 30 degrees and label the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-axis with \\\"Number of Outages\\\".\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour function should return the figure handle as output.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"308\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"678\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55760,"title":"Reproduce this plot!","description":"Write a function that will take a dataset (x,y), a best fit model (model), and the upper and lower prediction bounds (lb,ub) for the model and produces a plot exactly like the one above. Your function should return the figure handle as output.\r\n\r\nTo run the function, use these variables for x, y, model, lb, and ub.\r\n    x = 0:10;\r\n    y = [1.08459242882334\t15.6947129993263\t14.2386103675462\t6.42746590257512\t31.1493692505068\t28.3500898661844\t36.6199801626288\t32.7960413139854\t48.8539622750404\t40.0146245913800\t53.5578609728933];\r\n    model = [14.5329684874318\t15.1878864648738\t16.5582980455985\t18.6442032296059\t21.4456020168959\t24.9624944074686\t29.1948804013239\t34.1427599984619\t39.8061331988826\t46.1850000025860\t53.2793604095720];\r\n    lb = [8.0385 9.3470 10.9611 13.0581 15.7997 19.2858 23.5490 28.5567 34.2089 40.3441 46.7849];\r\n    ub = [21.0274 21.0287 22.1555 24.2303 27.0915 30.6392 34.8408 39.7288 45.4033 52.0259 59.7738];","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 810.188px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 913.688px 405.094px; transform-origin: 913.695px 405.094px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that will take a dataset (x,y), a best fit model (model), and the upper and lower prediction bounds (lb,ub) for the model and produces a plot exactly like the one above. Your function should return the figure handle as output.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 617px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 308.5px; text-align: left; transform-origin: 384px 308.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"770\" height=\"611\" style=\"vertical-align: baseline;width: 770px;height: 611px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eTo run the function, use these variables for \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003emodel\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003elb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eub\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 102.188px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 910.688px 51.0938px; transform-origin: 910.695px 51.0938px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 910.688px 10.2188px; transform-origin: 910.695px 10.2188px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    x = 0:10;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 910.688px 10.2188px; transform-origin: 910.695px 10.2188px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    y = [1.08459242882334\t15.6947129993263\t14.2386103675462\t6.42746590257512\t31.1493692505068\t28.3500898661844\t36.6199801626288\t32.7960413139854\t48.8539622750404\t40.0146245913800\t53.5578609728933];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 910.688px 10.2188px; transform-origin: 910.695px 10.2188px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    model = [14.5329684874318\t15.1878864648738\t16.5582980455985\t18.6442032296059\t21.4456020168959\t24.9624944074686\t29.1948804013239\t34.1427599984619\t39.8061331988826\t46.1850000025860\t53.2793604095720];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 910.688px 10.2188px; transform-origin: 910.695px 10.2188px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    lb = [8.0385 9.3470 10.9611 13.0581 15.7997 19.2858 23.5490 28.5567 34.2089 40.3441 46.7849];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 910.688px 10.2188px; transform-origin: 910.695px 10.2188px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    ub = [21.0274 21.0287 22.1555 24.2303 27.0915 30.6392 34.8408 39.7288 45.4033 52.0259 59.7738];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function f = plotThisData(x,y,model,lb,ub)\r\n    f = figure; % gets the figure handle\r\nend","test_suite":"x = 0:10;\r\ny = [1.08459242882334\t15.6947129993263\t14.2386103675462\t6.42746590257512\t31.1493692505068\t28.3500898661844\t36.6199801626288\t32.7960413139854\t48.8539622750404\t40.0146245913800\t53.5578609728933];\r\nmodel = [14.5329684874318\t15.1878864648738\t16.5582980455985\t18.6442032296059\t21.4456020168959\t24.9624944074686\t29.1948804013239\t34.1427599984619\t39.8061331988826\t46.1850000025860\t53.2793604095720];\r\nlb = [8.0385 9.3470 10.9611 13.0581 15.7997 19.2858 23.5490 28.5567 34.2089 40.3441 46.7849];\r\nub = [21.0274 21.0287 22.1555 24.2303 27.0915 30.6392 34.8408 39.7288 45.4033 52.0259 59.7738];\r\ng__ = plotThisData(x,y,model,lb,ub);\r\n%% Are there four things on the plot? \r\nf__ = findobj(g__.Children,'Type','Line');\r\nassert(isequal(length(f__),4))\r\n%% Is grid on\r\nf__ = findobj(g__,'Type','Axes');\r\nassert(isequal(f__.XGrid,'on')\u0026isequal(f__.YGrid,'on'))\r\n%% Is box on\r\nf__ = findobj(g__,'Type','Axes');\r\nassert(isequal(f__.Box,'on'))\r\n%% Is there a legend\r\nf__ = findobj(g__,'Type','Legend');\r\nassert(isequal(f__.String,{'Data','Model','Prediction Bounds'}))\r\n%% Is the legend located in the correct place?\r\nf__ = findobj(g__,'Type','Legend');\r\nassert(isequal(f__.Location,'northwest'))\r\n%% Is the x,y data colored correctly?\r\nf__ = findobj(g__,'Type','Line');\r\nfor i = 1:length(f__)\r\n    if isequal(f__(i).YData,y)\r\n        ind = i;\r\n    end\r\nend\r\nif isnumeric(f__(ind).MarkerEdgeColor)\r\n    c__ = f__(ind).MarkerEdgeColor;\r\nelse\r\n    c__ = f__(ind).Color;\r\nend\r\nassert( (c__(3) \u003e 0.6) \u0026\u0026 (c__(2) \u003c 0.5) \u0026\u0026 (c__(1) \u003c 0.5) )\r\nc__ = f__(ind).MarkerFaceColor;\r\nassert( (c__(3) \u003e 0.5) \u0026\u0026 (c__(2) \u003e 0.5) \u0026\u0026 (c__(1) \u003c 0.5) )\r\nassert(isequal(f__(ind).LineStyle,'none'))\r\n%% Is the model colored correctly?\r\nf__ = findobj(g__,'Type','Line');\r\nfor i = 1:length(f__)\r\n    if isequal(f__(i).YData,model)\r\n        ind = i;\r\n    end\r\nend\r\nassert(sum(f__(ind).Color-[0 0 0])\u003c1e-5)\r\nassert(isequal(f__(ind).LineStyle,'-'))\r\n%% Are the bounds formated correctly?\r\nf__ = findobj(g__,'Type','Line');\r\nfor i = 1:length(f__)\r\n    if isequal(f__(i).YData,ub)\r\n        ind = i;\r\n    end\r\nend\r\nassert(sum(f__(ind).Color-[1 0 0])\u003c1e-5)\r\nassert(isequal(f__(ind).LineStyle,'--'))\r\nfor i = 1:length(f__)\r\n    if isequal(f__(i).YData,lb')\r\n        ind = i;\r\n    end\r\nend\r\nassert(sum(f__(ind).Color-[1 0 0])\u003c1e-5)\r\nassert(isequal(f__(ind).LineStyle,'--'))\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":8,"created_by":140016,"edited_by":140016,"edited_at":"2022-10-25T20:31:52.000Z","deleted_by":null,"deleted_at":null,"solvers_count":343,"test_suite_updated_at":"2022-10-11T13:13:54.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-16T17:35:21.000Z","updated_at":"2026-10-28T14:30:38.000Z","published_at":"2022-10-10T14:29:28.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that will take a dataset (x,y), a best fit model (model), and the upper and lower prediction bounds (lb,ub) for the model and produces a plot exactly like the one above. Your function should return the figure handle as output.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"611\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"770\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eTo run the function, use these variables for \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emodel\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003elb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eub\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[    x = 0:10;\\n    y = [1.08459242882334\\t15.6947129993263\\t14.2386103675462\\t6.42746590257512\\t31.1493692505068\\t28.3500898661844\\t36.6199801626288\\t32.7960413139854\\t48.8539622750404\\t40.0146245913800\\t53.5578609728933];\\n    model = [14.5329684874318\\t15.1878864648738\\t16.5582980455985\\t18.6442032296059\\t21.4456020168959\\t24.9624944074686\\t29.1948804013239\\t34.1427599984619\\t39.8061331988826\\t46.1850000025860\\t53.2793604095720];\\n    lb = [8.0385 9.3470 10.9611 13.0581 15.7997 19.2858 23.5490 28.5567 34.2089 40.3441 46.7849];\\n    ub = [21.0274 21.0287 22.1555 24.2303 27.0915 30.6392 34.8408 39.7288 45.4033 52.0259 59.7738];]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAgEAAAGXCAYAAAAqMYOiAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAB3RJTUUH5goLCzIRGu1W/QAAIABJREFUeJzt3Xt4FPW9P/B31kgQIo3cFIUywZVA6o0iIBGSXRpaS9UcQQXkkmxrj8ZLsZzaahU2K9hK9VCgHp9SbHdTKBSKt4MHQZGdJZCD2rRaCYeElEyaoPCjJkHFcsnu/P6YzGY32d1cd2dm5/16Hh7I7OzuhyXk+/nePt8UWZZlEBERkelYtA6AiIiItMEkgIiIyKSYBBAREZkUkwAiIiKTYhJARERkUkwCiIiITIpJABERkUkxCSAiIjIpJgFEREQmxSSAiIjIpJgEEBERmRSTACIiIpNiEkBERGRSTAKIiIhMikkAERGRSTEJICIiMikmAURERCbFJICIiMikmAQQERGZFJMAIiIik2ISQEREZFJMAoiIiEyKSQAREZFJMQkgIiIyKSYBREREJpWa6DdsbGzEBx98gIEDB2LKlClhj9XX16OqqgqjRo1CVlZWokMjIiIylYQmAT6fD0888QRycnJQV1eHtLQ0/P73v4fFYsGOHTvw7LPPIicnBxUVFSgoKMCSJUsSGR4REZGppMiyLCfijfx+P6ZPn441a9Zg8uTJAIDbbrsNDz/8MGbOnIlJkyZh27ZtsFqtaGxsxIwZM/Daa69BEIREhEdERGQ6CRsJ8Pl8uOqqq4IJAAC88cYbAACv14uMjAxYrVYAwODBg5Gbm4v9+/czCSAiIoqThCUBTU1NGDVqFJYvX47XX38dF110ER566CF873vfQ3NzM8aNGxd2f3p6Oqqrq6O+3qJFi/Dee+/FO2wiIqI+d+eECXj2j3/UOozEJQE1NTXYvXs3li9fjqeffhpVVVVYuHAhsrKy4Pf7YbGEb1SwWCwIBAJRX++9995DVVVVvMPuE1lZWYw1TowUr5FiBYwVL2ONHyPFa5hYRRGw24FnnwU0Hu1O2BbBr371qxg9ejTmzp0LQPnHmjlzJnbu3Im0tDT4/f6w+wOBAFJTE755gYiIKL4cDiwaOVLzBABIYBIwZMiQjm9uscBisWD48OE4dOhQ2GNNTU2YOHFiosIjIiJKDK8X7w0YoHUUABKYBNjtdjQ2NsLr9QJQ6gWUlZXh9ttvx6RJkwAoiwcB4OjRoygvL8fUqVMTFV5cLVy4UOsQusxIsQLGitdIsQLGipexxo+R4jVMrDoYAVAlbIsgAPz5z3/GY489hssvvxw1NTX47ne/iwcffBAA8O6772Lp0qWwWq2orKzEypUrceutt0Z9LcPM/QCQJMkwuxyMFCtgrHiNFCtgrHgZa/wYKV4jxaqXNiyhk+433XRTcCSgvSlTpuDAgQOJDIeIiMjUeHYAERFRX5MkrSPoEiYBREREfUkUgcxMraPoEiYBREREfUUUAYcDiDL1rTfciE9ERNQXPB7A5VISAIMsUDRFEsASw9SXJk+ejI0bN2odBhHpicOhrAOordU6km4xRRJgpBLDpH9ZWVlah0BEemK3K78bZAogFNcEEBER9YQkKQmAzWbIBAAwyUgAERFRn5IkZQqgsBAoKtI6mh5jEkBERNQd6imAXq8yCmBgTAJ6QZKA0lJg9GhDJ4JERNQd6hZAgycAAJOAHrPbAVECUATAp3xPFBUBbnffvk9LSwuKi4uDX1ssFkyYMAH33nsvBg0a1OnzP/nkE4wYMaJvgyIiMjMDbQHsDBcG9oDdDogAUAvACcCt/NkjKMlAXwoEAnjppZeQk5OD3Nxc3HzzzXjjjTdw3XXX4eTJk50+/5prrunbgIiIzC5JEgCAIwE9IooA2p+9KAAoBDx2wCn1/ffIggUL0K9fPwCAw+FAYWEhnnrqKWzYsAGAkizs3bsXX3zxBUaMGIEpU6bggw8+wJkzZ7Bnzx7MmDEDFosl4n1ERGROTAK6yeOBMgUQiaD8kqT4J4oLFizAPffcgw0bNuDs2bPIycnB+PHj8ZWvfAV79+7F3LlzMWTIEADA1q1bYbPZcP78+Yj3uVyu+AZLRES6xCSgmwQBQGmsGxJzeNTEiRNx+vRpAMCRI0cwZ84cPPnkkwCAnTt3Yt26ddi1axeWLFkSHC04dOhQxPuIiKidRPTmdIBJQDcJAgApxg0iYHPGP46amhqkpaUBAG688UacO3cOP/7xj1FfX4/33nsPY8aM6fCcrt5HRGRq6hZAuf28b/LhwsBuEgSgpAhApAWAdsAmJCZ5fPfdd3HLLbcAAHbt2oXZs2fjhhtuwI9+9CP86le/QiAQ6PCcrt5HRGRaBjsFsLeYBPRAYSFQIgDIhJIMuACkADbE//smEAhg165dWLFiBZ544gkAwFtvvYX8/HwsWLAAEydOhCiKOHz4cPA5LS0tXbqPiMjUPJ6kqgHQFZwO6AFBAJxOJRkQRaCuDnDGedRIHfq/+OKLce2112L9+vXIz88HADzwwAPIy8vDv/3bv+H06dOw2Ww4ffo0AoEApk2bhkGDBuEvf/lLzPssFuaDRGRiBj0FsLeYBPSCIMS/UmC/fv0gdzIvNXbsWHzyySf44osvMGDAAFgsFjidysKEsrIytLS0IDVV+aeOdh8RkWkZ+BTA3mL3L4mkp6dH7NGrCUBn9xERmUoSnALYWxwJICIi80mSUwB7i0kAERGZSxKdAthbHBMmIiJzMdkOgFg4EkBEROaSRKcA9hZHAojI0EQR2L49XTnYi6grdJAAXLhwQesQADAJ0L2zZ8/i+9//Pn796193eOy1117D97///WAxoK46cuQIVq9e3et7iLQkikBKCmB3AY9VDoXdBWRmJubsDqLecLlcaGhogKSDb1YmATrX0tICt9uNxx9/vEOJ35UrV+Kll17qdunfhoYGvPnmm72+h0grogjYHQC8rb/cyu+SU1nvpYOfrUQR2e12iKKIzMxMCDoYkWASYACpqamYNGkS3nrrreC1mpoaXHrppR3u9fl8eO2111BXV9fhsV27dmHnzp0drh84cCDqc4j0qLQUgBNKre5QRYBU1Po4mZvOMkFJkmC322Gz2eDVUU0CJgEGMW/ePGzdujX49datWzF//vzg14FAADNnzsTTTz+Nt956C9OmTYPb7QagjCbccsstePHFF/Hyyy/j/vvvDz5v9uzZeOqpp7Bv3z7MnDkz7D2I9MrjAVAU5cE8cH2A2YmiMjekE2rP3+l06q5KqymTAJfLhZSUFN3+crlcHWK+++678eqrrwaH/rdu3Yq77747+Pif/vQnfPnll3jnnXfw4osvwufzobi4GC0tLXj55ZfRv39//Pd//zd++9vf4oc//CEAYOfOnTh+/Di8Xi9Wr14Nr9eL4uJinixIuiZJAIRYN+hi3RdpRWenALpcLjgcDni9Xth0uCXRlFsE9ZiNdWbQoEGYNm0a3nrrLYwcORKCIOCyyy4LPr53797ggUIAMGbMGAwYMAAHDhzA3r17MX78+OBjubm5eP3117Fnzx6cOHECs2fPDj722Wef4fjx44n5SxH1gCAoR3aLIjpOBwBAHZMAs8pYswZ4/XXdHAJkbz2ToFYn8URiyiTAqObOnYutW7di5MiRmDt3bthjl1xyCT7//POway0tLUhPT8fAgQNx5syZ4PVz584Fn2Oz2cJ2AWzYsAGXXnopqqqq4vg3IeodtxvItENZEGgLeUAEBA9QqI9OICVKawng/mfP6iIBkCQJDocDNptN9x1OU04HGNWcOXPw+uuv4+WXXw6bCgCAgoIC7Ny5E1988QUAwOv1YuDAgZgwYQLuvPNO+Hy+4GOvvfYaAODWW2+FKIqwWCwYMmQIJEnCtddey8OFSPcEAaj1AnAAsLf9LjiUBIEjASYScgjQiS1btI5G1/P/kXAkwEAGDBgAm82GtLQ09OvXL+wxu92OuXPnIisrC9nZ2aipqcErr7wCi8WC6dOnY8GCBbjuuuswcuRIWCwW9OvXD9OnT8eDDz6I7OxsTJo0CRUVFdiwYUOHUweJ9EhNBCQJ+POf/4mbCoeyCqzZuFzKKlG3WykBrPGOAJfLBY/Ho9v5/0hS5M4Oq9eprKysLg9Zd+deowsEAjh79iwGDBjQ4bGWlhYEAoEOCUSs51BHPf1+kiRJF/uCu8pI8TLW+NFlvOoJgEDYAkAtY1Xn/7u6/U8v7RLHfZOMxWKJ2pinpqZ2SAA6ew4Rke5kZio9fx3sANDr/v+u4rgvEREZi05OABRFEXa73VDD/+0lNAlobGzEsWPHwq6NHTsWgwYNAgDU19ejqqoKo0aNQlZWViJDIyIio9BBg2vE+f9IEpoEvPrqq1i9ejXS0tKC19atW4dp06Zhx44dePbZZ5GTk4OKigoUFBRgyZIliQyPiIioU0bY/99VCU0CKisr8eSTT+Lee+8Nu+73++F0OrFt2zZYrVY0NjZixowZKCgo0N+CFCIiMiUj7f/vqoQuDDx8+DCuvvpqNDY2hp2lvG/fPmRkZMBqtQIABg8ejNzcXOzfvz+R4RERkR6oe/91xGj7/7sqYSMBfr8f//jHP7BixQo0NjaiubkZs2fPxsqVK9Hc3Ixx48aF3Z+eno7q6uqYrxm6bmDhwoVYtGhRXGInaq8n54A3NDT0fSBxZKR4GWv8JDre/gcP4or589G8ZAmau/n/LF6xrlmzBi+//DK2bNkCQRB69P9/48aN2LRpU98H10sJSwJOnjyJ/Px8PP7447jyyitx8uRJ3HPPPdiyZQsuvvjiDlXqLBZLpwfZ6GGPZby1tLSguLg47JogCJg7d25w5KSnjhw5gp07d2LWrFn4zW9+E1Y+OJJPPvkEI0aMwJEjR7p0f1edPXsWjzzySPBri8UCm80WdkpiPKmfw9KlS7v8nJ5OUxltestI8TLW+ElYvGrxH68XGTYbMnrwEn0dqzr/X19f36vXWbZsGZYtWxb8Wi+L3xM2HXDllVdi3bp1uPLKKwEAl19+OWbOnImKigqkpaXB7/eH3R8IBFi5Dsrn8NJLLyEnJwe5ubnIzc3FJ598gptuuqnX35QNDQ148803EQgEcP78+U7vv+aaa4IxdeX+rmppacFLL70U/PtNmDAB//mf/4lHH320z94jFvVzICKNqMP/oqjU/tfBanuj7//vqoS1snV1dXj//fdx1113Ba+dP38eF110EYYPH45Dhw6F3d/U1IRZs2YlKjzdW7BgQbDQz6JFi1BZWYm9e/fijjvuQH19PSwWC06cOBE8SfDAgQM4deoUJkyYgNGjR4e91q5du8IqB44YMaLDgUTq8ydNmoSrrroKH3zwAc6cOYM9e/ZgwoQJHe73+XxoamoKe7+mpibU19fjqquuwoEDBzBs2DBMnTo16t8xdDrHarXirrvuwpo1a6K+R1NTE44dO4aJEycG30/9uivv3f5zAIBTp07hf//3f5Gamor8/PyIxZWIzMDlUtrkmpqRyM8H8vKAoqI4vJEoKglASQmgk7n2ZNj/31UJSwLOnj0Lp9OJG2+8EVarFSdPnsQ777yDVatWYdKkSQCUH/J5eXk4evQoysvLsWLFikSFZzjnz59HamoqKioqsHTpUqSmpuLSSy/FjBkzcNdddwUbyx//+MdYsWIF5s6di5aWFuTl5WHIkCEYNmwYRFHEmDFjUFFRgfnz5+PUqVMAgNtuuw3/+te/cMMNN2DJkiXYsGEDjhw5AgDYunUr/H4/Fi5ciFOnTiEQCOBb3/oWAoEAsrKy8Mgjj+Dpp5+Gw+FARUUFHn30UVx22WUYN24c9uzZg/vuuw9PPvlkp3+/999/P/ifL9p7jBo1CqtWrcLbb78NAKioqAh+Heu9o30OR44cwXe+8x3cfvvt+PTTT/HII4/go48+YjVFMh27HRBtAJwAhFR4REAsBerq+ridDhn+10PvH0ie/f9dJifQH/7wB3nChAny4sWL5QkTJsi/+93vgo8dPHhQzsnJkRcvXixPnDhRfvPNN2O+1tixY7v8vh3uLSmRZaDzX9F05bm9eX5JSfDWc+fOyQDk4uJi+aGHHpIfeugh+Vvf+pb81a9+VT59+rT89ttvyxdffLF8+vRpWZZl+X/+53/kyZMnB5/f0NAgX3bZZbLf75f/+Mc/yjNmzAg+9qtf/UrOz8+X3377bXno0KGyLMvyjh075Jtvvjl4z9tvvy0/99xzrWEjeE29/49//KOck5MTvP/vf/+7nJaWJl+4cCEY2+effx587QkTJnT4OD7//HMZgJyWlianpaXJF110kXzJJZfI+/bti/keu3btkvPz88NiVb+O9d7RPgePxyPfeeedweuvvvqq/PHHH3eItzvfe6Fqa2t79DytGClextp3bDZZhluWIbf7VSvLgk2Wvd4+eJPaWuWNbLY+eLHQl63t1fNtNpts6+OYounpz5G+ltBJ93vvvbdDjQDVlClTcODAgcQE4nT2Lp3t7ZlLPXj+uHHjkJqaCovFgltuuQW333470tPTAYRXXdyzZw9OnDiB2bNnB5/72Wef4fjx49i7dy/Gjx8fvJ6bm4vXX3897H3ef/99XH/99cGv8/Pzg1MMkezduzfs8TFjxmDAgAHBf8shQ4YE4+zfvz9OnjwZ9bXOnj0LQOn5v/HGG/j2t78dnPaI9B6VlZVRXyvWe0f7HG699VasWrUKw4YNwze/+U0UFhZixIgRMd+DKNmIIoBIU+ACINkAn68POu2Zmboa/k/G/f9dxZV3BvHAAw9EnZ8ObaguueQS2Gy2sJX7GzZswKWXXoqBAwfizJkzwevnzp3r8Fr9+vUL25Xx5Zdforq6GjfeeGPE977kkkvw+eefh11raWlBeno6mpqaOuz66AqLxYI77rgDY8eOxV//+teo73HJJZeEJRXtFytGe+9on8Pll1+Ow4cP44MPPsCePXtQWFiI1atXJ2yXApHWRBGALcYNowHJ1wdvpKPhfzPN/0fCUwSTzK233gpRFGGxWDBkyBBIkoRrr70WFosFd955J3w+H7744gsAwGuvvdbh+fn5+WH3/P73v8fTTz8dfLylpSXs/oKCAuzcuTN4v9frxcCBAzFhwoRe/T3eeust/O1vf0N2dnbU97jllltw7Nix4AjCvn37uvTa0T6HZ555Bo8++ihuvPFG/OhHP8KMGTN6tB+YyKgEAYAU4wafskCw13TS2Ho8HjgcDtMmAABHApLO9OnT8eCDDyI7OxuTJk1CRUUFNmzYgNTUVEyfPh0LFizAddddh5EjR8JisXQYXZgyZQq+973v4brrrkNWVhYaGhqwe/duAMC0adMwaNAg/Nd//Vfwfrvdjrlz5yIrKwvZ2dmoqanBK6+80qMRgJSUFADARRddBKvVitLSUowdOxZjx46N+B7XX389Zs2ahfHjx2PIkCG4/fbbu/wZRfocHnjgAXzrW9/C9OnTg3Uq1q1b1+2/B5FRCQJgEwDRBWVRYCgJgAjYkmS03OFwQJKkpKj/3xspstzbCW5tZGVldblYUHfuTRaBQABnz56NuLK9paWlw9a4rj6/paUlYv2GWO/XV6K9hzoN0N3tfNE+h7Nnz0ZMkFQ9/X6SJMlQRWKMFC9j7TuSBNgdyvw/CgEIUBIAB+AujNM2wT7Slc9Wnf8XBAFutzsxgUWgl3aJ0wFJymKxRG2QU1NTO20woz0/WgGnWO/XV6K9R79+/Xq0nz/a59C/f3/WByDTEgTA6waKJECwA0gBbN1NAHRY+x9oq/9fWFioaQKgJ5wOICKiMIIAqG1kt0cuQov/6IjH44HL5TL1/H8kTAKIiKhv6LD4D8D5/1hMkQRMnjxZN4c1kPFNnjxZ6xCI9EWSAIdD+bOOGtrQ+f9krv/fG6ZIAjZu3Kjp++t9IVAoI8UKGC9eoqSjw9r/QNv+f7fbjSIdrmZ8+NNPtQ4BgEmSACIiigOdDv/rfv7fbseUL7/UOgoATAKIiKi7dDr8Dxhk/t9mw6KPP4b2GwS5RZCIiLorM1Pp+etonl2SpGCJb93P/+to2oRJABERdY/Xq6uGzOPxIDMzE3PmzOH+/27idAAREXWPTubZ1dX/uh/+1zGOBBARkeGoq/9tNhtqa2v1tUtIpxUTI+FIABERdSRJrccK6o/L5YLH44Hb7dbf6n81AdDhtsRImAQQEVE4de+/zs6XU4f/Aehz+F/dMul262bKpDOcDiAiIoXai3U4dLXyH2g7/Mdms+lv9b/6uYmismXSIAkAwCSAiIgApRerbv3TWUPmcrngcDhQW1sLp452JQBQGn4dbpnsKk4HEBGZWfvCPzpaByBJEux2O4qKivQ9/K+ziondwZEAIiKzcrmUYWy1F6ujBMDlcgVr/+uu968O/0uS7kZNuosjAUREZqPjsr+6X/wHKAmAgRb/xcKRACIis7HblYp/OpvD1vXiv1AGHv5vjyMBRERmo8Metrr3X7cn/4XS0bRJbzEJICIizajD/4Ig6Hf4P4kxCSAiIk3ovvJfEvX4o2ESQESUbNSFfzqdV9f94j+dVkyMBy4MJCJKJqFFf3RI94v/XC5dJ1B9jSMBRETJQMdFf1S6Xvynfn6CoMuFk/HCkQAiIqPTcdEfoK3ynyRJqK2t1V8C4PG0bZt0u7WOJqE4EkBEZFRq5Tq13r8OeTweOBwOuN1uFOnteF219y9JukyeEoFJABGR0UgSUFqq62Nr1cV/au9f0FsDqyZQRUXKCECC3/rTTx+Gx6PkHVr+83E6gIjIaDIzld91WrdeFEXY7XbYbDZ9JgDq9InbnfAEwG4HMu3Ap488AocPsLvalnJogSMBRERGo+Oytbre+68SRU2mT+x2QASA0LeWAE8pAIc2yxGYBBARGY0OG1fd7/0PpdH2P1EE0L70gACgEPDYgUIx8f+0nA4gIqJe0f3efx3weAAURXlQaP2lASYBRER65HJpHUGXuFwuOBwO1NbWwpng+XUjEQQAUqwblAWDicYkgIhIT9RV66KodSQxSZKEzNYFirpc/OfxaB1BmE6TAFGbWR7NkoAPP/wQp06dCrtWX1+PPXv2oKqqSqOoiIg0pK5adzp1XbbW5XLBbrfD7Xbrr/evJlE6G0kRBKCkCIADHZMBO2ATtClToEkSUFNTg4ULF+LDDz8MXtuxYwfmzZuH3bt3o7i4GGvXrtUiNCKixBNFZdufJOl22x/QVvlPFEVdVv5LbWjQdfGkwkKgRABgh5IMuACkADZol/MlPAm4cOEC/uM//gNDhw4NXvP7/XA6nSgtLcVzzz2H7du3w+12Q9JigoSIKFEkqe3AGrdb1yVrdb/4z+XCFfPna7L3v6sEQQmt1gtcsetxlEA5qFDLjzPhScDq1avxjW98A2PHjg1e27dvHzIyMmC1WgEAgwcPRm5uLvbv35/o8IiIEkPt/QO67v0DbYv/vF6vfof/RRENZWW6/hxVggAMGvSqLnKVhNYJeO+99/Duu+/ilVdewf333x+83tzcjHHjxoXdm56ejurq6pivl5WVFfzzwoULsWjRor4NuI80NDRoHUKXGSlWwFjxGilWwFjxGi3WK+bPR2pDA/65ZQvO3nyzNsvCu6ChoQE/+MEPcPXVVwd7/3oaoc1YswbpL7+Mfz73HM7efLOuvw82btyITZs2aR1GBwlLAj777DMsX74cv/71rzs85vf7YbGED0pYLBYEAoGYr2mkBYS6Wzkbg5FiBYwVr5FiBYwVr5Fi7X/rrYDTiSu0DiQGtfLfz3/+c8ybN0/rcMKFHptcXx/2Oer1+2DZsmVYtmxZ8OvQTqyWEjYd8Itf/ALZ2dmoq6uDz+dDY2MjKisrUVVVhbS0NPj9/rD7A4EAUlNZ0JCIkpAexoGjUOf+1YN/br75Zq1D6igzs+3YZOqVhLWyw4YNw+HDh7F582YAwPHjx+Hz+TBo0CBkZ2fj0KFDYfc3NTVh1qxZiQqPiMjUJElCaWmp/uv+A8oaCp32+I0mYUnAkiVLwr6+//77cffddyM/Pz847O/z+ZCXl4ejR4+ivLwcK1asSFR4RER9Rx2uNkhPVT31r6SkRP91/wEmAH1IF+PtFosFzz//PJYuXQqr1YrKykqsWrUqbBshEZHuqVv+RFE5p17n1EN/JEmC1+vVd++f4kKzJGD9+vVhX0+ZMgUHDhzQKBoiol6QJKC0VClVW1Sky0I17blcLpSUlKCkpER/2/4A5TNljz/udDESQERkWC4XUFKi/DJA49/+yF9drqZ3uZSEygCfp9HxACEiop7weJRV6qKoNFZ67E23o9b8V6v+6S4BCD08iQlAQnAkgIiou+x2pcFyuw1RoU6t+S8Ign4X/qm9f6fTEOspkgWTACKi7iosNERDZYhtf6GFf/SaoCQxTgcQEXWXARIAtegPAF2e+Aeg7fwEFv7RDEcCiIiSiCG2/am9f/XoZL2tTTARjgQQEbXncgEpKVpH0W0ulyt43K9ue/9AW++fCYDmOBJARKQSxbb5aQMNT4f2/nW77S+U12uIBZVmwJEAIiJ1a5rDoaxOr601TCMVuu3PEAkAYJjP1gw4EkBE5tW+0p8B9vqr2hf9IeoJjgQQkfmoNf5bV88nstjPwYP9IYq9ew219+90OuHV67SFJGkdAXUBkwAiMh+18ZflhDX+Doey1nD++itgb80/XK7uvYYhtv0Byl/Mbtc6CuoCTgcQkfkkeFW63Q6IACC3XZMkwNO6BrGzPMQQRX8AFv4xII4EEJH5JDAB8HhaE4D2o/YCILmVx2M/32OM3j8L/xgSRwKIKDnp5Chanw9AYZQHBUASlPazfdtuiKI/AAv/GBxHAogouaiL/nQyJy0IAOpi3CB1bDcNU/QntPfPBMCQmAQQUfJov+JfB/Ly0DofEIXU1naqp/2Jooja2lo49bxl0eVSRgC8XkNtraRwTAKIyPD6HzyoNP7qOfQ6apQEARAkAJF2AtiBkhLlj6FFf7xer76L/mRmtg3/63WUgrqEawKIyLhaz6Af2tICbNyoywZJEJTOst0OSCKU9QF1ADxAkQ3IyxORmekIDv0bgtuty8+auo9JABEZj8uldKEFAXDuLrElAAAgAElEQVS70SAIuu45q4mAJAH/9V9f4Npr0zHaKaGurhQOh863/UWiw1glCVizJgM33miIk551g9MBRGQ86rC/gYajBUEJ9bnn/om8PBEOhwG2/RmAJClFmDLtwNrLMuDw9awQk1lxJICIjMeg+9AlScL8+fNx4sQJfW/7A3SzxTIWSWpdB+oFYAu/7nEAo0dzVKAzHAkgIn1KotrzkiQFF/5NmTJF/71/HW2xjMXlAuBGWAIAQKm/4FTOhqLYmAQQUQeSpBx0o9mbG6QR6gp1zz+gDP0/+uijGkcUg9q1VqdbdE4U0TEBUAlJlUfGDZMAIgryeNrmV+evvyKxc6tq5Tm18TdAIxSLWu7XEHv+gbbEy+02zHSLIACQoj3IJKAruCaAiAAoCYDDhQ6H3JS0tslxa8NCy84WFRm+8Q8t92uIVf+iqHz+BvzsbTZALEXk0QAP1wN0BUcCiAhA6+Fv7dsAAYC380NuekQtOWu3t5Wd1XtvOQa18VcL/uh+3l9NvhwOpfdvwM++sBAQRHQsxCQCcCiPU2wcCSAipZEvivKgEP2Qmx5TS/s6nYbvroUe81tUVGSMgj8ej9L4l5QYrvcfSq2/4HAAogfKiICkVGh0ew2ze1RTTAKIqHNCH8+vJkHjDyiL/kpKSlBSUmKMxl/lciXNgT+hhZi2b/8nbiocysa/G5gEEJHyQzPWAkARsPXlaLHBEwBRFOFwOCAIAmpra3VdrTAiIyUsXSQIwF13fQFBGKp1KIbCNQFEpFSzExA5EXAoj3WrnVO3+SUZ9ZQ/h8MBt9ut/4N+iDrBJICIALSeCSMCcADwQEkIMgGb1I0dY2rjr875J4nQYj+GWPRH1EVMAogIQPAsHrjzgCIfsKSpGd6ubhlvX+BHlg252rw9tfEPLfaj+/3+QNvOC6JOMAmgMA0NXCZiZoKgTNe73cCjjzZ3vsAqUoEfIzSSXRDa+MuybIzGX03G1G1/RJ1gEkAA2jpx0xeNDG7dZrUtiiq08ReEpGr8RVE0VqU/lcfT1vs30OmKpC12+wgOB+CRADgB2JSf71Kp8vPd602KXUTU1+x2Q1aYi8Vwlf5UoRUXvdwcT93DkQCT83haE4DQozgFAE7lFK4kOcOF+loS9fwNvehPXYSpVlw0StykG0wCSGn0IynilAAlN0Mu+gOU/5h2e9tpf0aJm3Qn4UlAVVUV9uzZAylC61JfX489e/agqqoq0WGZls8HIC/GDQITAdNpXVwmJPHqcpfLhZSUFAAGWvQXSj1vgfN11EsJTQJ++ctf4pFHHsE777yD++67D+vXrw8+tmPHDsybNw+7d+9GcXEx1q5dm8jQTCsvD4Avxg0Sf8aYhjq33Nr4N5SVaRtPHKiL/jweD7xer/EafxV7/9RHErYw8OjRo/jd736HsrIyZGRk4NSpU8jLy8Pdd9+Nr3zlK3A6ndi2bRusVisaGxsxY8YMFBQUsBpXnAXLxYroeBynw/DVXakzkgSUlrYdE1hUpOzxB9CSRENAoYv+nE4niviNTQQggSMBV199NV599VVkZGQAAC6++GL4/X5cuHAB+/btQ0ZGBqxWKwBg8ODByM3Nxf79+xMVnmkJAlDrhVIlTk0GPMrXNolbjZNWu14/vN6k7F1GWvTHBICoTcJGAiwWC6xWK/x+P7Zv347NmzfjoYcewuWXX47y8nKMGzcu7P709HRUV1fHfM2srKzgnxcuXIhFixbFJfbeamho0DqETpVtTMX27enYtzQFV199Ea66qgWPupt1vx7ACJ+tSk+xjpw+HV/MmYPm0C1+7f6x9RRvZyLFumbNGqxduxZLliyBt7XsYaS1SInWlc81taEBQx97DCe2bElARLEZ/ftALzZu3IhNmzZpHUYHCa8T0NjYiHPnzmH48OE4cOAAFi9eDL/fD4slfFDCYrEgEAjEfC0jLSDU+7SGIADTpik/JNtizdAwoq7T+2cbSjex1tcjA53/C+sm3i5QY/V4PHC5XLo+4S9mTC4XUFIClJToJna9xNEVeo112bJlWLZsWfDr0E6slhKeBAwbNgyLFy/G4sWLUVhYiNLSUowZMwZ+vz/svkAggH79+iU6PKLkoM71J9nwfiyGLfajUqdoAGVqRqeNGSWXhK0JOHbsWIehkCuuuAInTpzA8OHDcejQobDHmpqaMHHixESFR5Qc2s/1m4AkSXjsscdgt9tRWFhorGI/KrVuN7f9UYIlLAnw+/34+c9/jmPHjgEA/vnPf2L//v2YOXMmJk2aBADw+ZS9akePHkV5eTmmTp2aqPCIjCv0+F61ln+SnOIXi9rzt9vtuOqqq4y56E+SlH83Fv0hjSRsOuCaa67BU089hdmzZ2PixImoqKhAcXExZsyYAQB4/vnnsXTpUlitVlRWVmLVqlUYOnRoosIjiht1ZH7XriswbpxSm6FP2iq18fd4lDlkk/QgQ4f9i4qKUFtbq4sFf90SujXT7Wa5X9JMQtcEzJ8/H/Pnz4/42JQpU3DgwIFEhkMUdx4P4HABKALw8/44KAEeF1BX18tOnzrcH7KvP9mJoghH65x5UVGRYQv9pDY0ANOnK4lbEh3ARMbEUwSJ4kQUWxOA9j/nbUCJAxg9uhcjAibp9QNKiV9PazGjpCn0w9P+SCd4gBBRnJSWQjmeuT1BuV5a2skLxBriNkECoB7u4/F44HQ6jTnnH0HLyJFMAEg3mAQQxYkoomMpZpWt9fFITLjCX6VW+EtJSYHH44Hb7U6axp9Ij5gEEMWJIACQunhztBX+JqE2/pmZmRBFEbW1tcbc6qdyuYDWUwqJ9IxJAFGcFBYCiDbk72pdD2CSGv7RhDb+AFBbWwuv16vbqm+dkiQlifN4lH9LIp1jEkAUJzYbUCJAOZxJbL0oAXABJSUuuMUI+/qN2vh1U6TG3+l0GrvxdziUf8/CQiWRM+ooBpkKdwcQxYkgtI0GiC5AbG3vi4oAZwmAPPPtD5ckCaWlpfB4PCgqKoJs9CmP0P3+RUXc8keGwySAKI4EQengO53A/v0NmDZtZOsj5hjuV6k9f1EUgwV+DC/koB82/mRUTAKI+pooAj6f0jiE9HRHjmzRLCStJGXjDyhrOASBB/2Q4TEJIOotdUhYkpRhYXXM3+hD3b0QqbRvUmGpX0oSTAKIeoINf0TJUtq3U0wAKEkwCSDqicxMpSGw2Uzf8ANJWtqXyASYBBD1BBt+AOGNv9vtNm5xn/ZEUdnyl2zTGETtsE4AUXtq9T67XetIdCm0tK8oivB6vcau7hdKLfbjcCjz/kRJjkkAEdCxbC9gmqp9XRVa4EeSJONX9wsVmvjZbCz2Q6bBJIDMK1LD73a3le1lIwAgcnU/t9udHI0/0PY9AJiqZDMRwCSAzColhQ1/JxoaGsIaf1mWjV3atz31kB9JaivbTGQyXBhI5sQiL1GpPf89e/bgvvvuM35p30jsdqXx93qZ+JGpMQmg5KRW7YvWu2MCECa0pj+g7PEvKytLnl5/e4WFrcc4EpkbpwMoOahFe9Qh3taCNRSbWtlPHfJXV/onbZEfFRMAIgAcCSAjkyRkrFkDnD7Nqn3doPb6S0pKIAhCcpzmR0Q9wiSAjCklBRAE9L/iCuDWW9nwd0Gkw3ySdrifxX6IuoRJAOmXJEWfu29d0HVCkpK3IesDkXr9SXeYTyhJUhp/SWKxH6IuYBJA+iBJyi+fT+nFiWLbUa2RcEV3TB6PBz6fzxy9fgCpDQ3KgU4ejzIllOxrGoj6CJMA0oYkKQ19XV14o6/+APd6tYzOkEzX6weCpzle8dJLwH33cfifqJuYBJA27Hal0bfZ2Oj3ktl6/QDajnIuKQFKSnBiyxaMnDZN66iIDIdJAMWH+kM62rAse2y9Yspef6jMTCUBaF0Q2iJJmoZDZFRMAqj3os3ncy92n1NX90uSZJ5efyTcDULUJ5gEUM94PJzPT5BIvf6kL+ZDRAnBJIB6prSU8/lxZupev3rCI7f5EcUVkwAKk9rQoPyhtFTp4Udr4Nnwx4Xpe/2h+/w5nUQUd0wCzEo9YAdom9MXRYwE2ob2Cws1Cs58XC5X2OE9pur1A20V/gDu8ydKICYByUht1GP1plwupbEXBCAvT2nw3W5IgLkaHw217/U7nU4Uma33G9r4O53s/RMlGJMAoxJFpZGvqwtv9ENL7dps0X+oRhvO51aruIp0ZK/pev2AkoS2fgZs/Im0wyRAj9SGWBSj/3B0OJRGXu3NFxa2/Zl0R5IkrFmzBmvXrjVvrz+Ux6Ms+mP5ZyJNMQnQSmjZXKCtZx/ak4+1195MhWEMSJIkSJIEn88XHO4vKCjgkb0qfv8S6YJhk4CHP/1UGVLsTLQFRl15bjyfH1o2N/Q+9owMSx3qlyQJHo8nuLpfbfgls021xDoFkoh0wbBJgOGxJ5QU1IZfFEWIogibzQabzWbuHn9oXX8zfw5EBpDwJKCmpgaSJGHw4MH4+te/HvZYfX09qqqqMGrUKGRlZcV8nReGDMEjvdlG1NstSNzCZFqhDb9ayMdms8Fr9toJ7Q71YaJLpH8JTQJWrlyJvXv3YuLEiaiursbAgQPhdruRlpaGHTt24Nlnn0VOTg4qKipQUFCAJUuWJDI8oqgirep3Op2wcfqmY+PP3j+RYSQsCfi///s/bN26FWVlZcjIyAAA3H777dixYwfuvPNOOJ1ObNu2DVarFY2NjZgxYwYKCgrMt3WKdCNS9T63282GX6U2/h6PsoCVjT+R4SQsCcjIyMD69euDCQAAZGZm4uOPP8a+ffuQkZEBq9UKABg8eDByc3Oxf/9+JgGUUKIohq3oN+0+/s44HG1bWDnsT2RYCUsCRowYgREjRgS/rqurg9frRXFxMY4cOYJx48aF3Z+eno7q6uqYrxm6bmDhwoVYtGhR3wbdRxrUevwGYKRYgd7H29DQgO3bt+P48ePYvn07Ro4ciTlz5qCsrAwjR44M3tcXK/uT6bPN+MpX0KyugdDBrgcjfbZGihUwVrx6jnXjxo3YtGmT1mF0oMnugJMnT6KoqAgPPvggxo8fj8rKSlgslrB7LBYLAoFAzNepqqqKZ5h9ykg9SSPFCnQ/3mgr+v/0pz/FJ8AQSfPZrlmDjMiPaMZIn62RYgWMFa9eY122bBmWLVsW/Lqzxe+JkvAk4KOPPsL999+P73//+3C01gxPS0uD3+8Puy8QCKBfv36JDo+SFFf0d1//gwe5z58oySU0CSgvL8eSJUvwzDPP4Jvf/Gbw+vDhw3Ho0KGwe5uamjBr1qxEhkdJhiv6e0Bd7CeKGFpTA8ybp3VERBRHls5v6Rv19fV4+OGH8Ytf/AJ2ux0XLlzAhQsX4Pf7MWnSJACAr/Vo26NHj6K8vBxTp05NVHiUJCRJgsvlQkpKCux2OwDA7XajtraWCUAskqQs9svMVL52OtFQVqZpSEQUfwkbCdi8eTPOnDmDBx54IOz6ggULsHz5cjz//PNYunQprFYrKisrsWrVKgwdOjRR4ZGBcUV/D4Vu8QM6bvPTwYI/IoqvhCUBP/nJT/CTn/wk6uNTpkzBgQMHEhUOGVj7hX1s+HsgdIuf18u5fyKT4tkBpGuhp/G1b/RtNhvcbjcb/p4QBO7vJyImAaQvai8fADweDyRJCjb6Tqezw2p+053M11d49gURgUkAaSy00Vfn9AVBCPbyuZCvB3iKHxF1EZMASqho8/kAOKffWy5X+CI/DvcTUSeYBFDcdDafz0I9fSC01y8IyjB/a1JFRNQZJgHUZyRJgiiKqKur69DoR5rPp16I1OvnKAoRdROTAOqxWPP5bPTjzONhr5+Ieo1JAHVZpPl8m80GQRDg9Xq5iC+RON9PRH2ASQBFxPl8jalz/dzKR0RxxCSAwhr8pqYmfPjhh5zP10KkMr5ERHHEJMAk1KI6oQv31K9D5/IBsNFPNElqW+hXUgK43QCnVogoAZgEJJnQXj2A4FA+gLA5/MLCwuBcfvvnc69+ArTf2tf+8B4iogRgEmBA7Xv1asMfrVfP+vo6ZLdzax8RaY5JgI511qtXG/u8vDwUFhZyCN9IuLqfiHSASYDG2KtPQupQvyQp8/tERDrFJCBButqrV+fr2as3GLXhF0Xll83GxX1EpHtMAnog9PhatXGvq6vrcC30z2rvXW3o2atPApG29BUWAkzgiMggTJ8EhDbW6u9qg96+IQ+9pjbeai8+9Jo6R9/+PuoboQvrR44cCatVaXsTuq0+JaVtVT+39BGRQSVNEtCT3jnQsZFu36iPHj06rEHvSWMeGhv1jiQBmZkASgDIQIOUigYJEB1AXV0CC+xxVT8RJQHDJgH19fXIzMwE0LPeOXvmxmS3A/ACsLVeEFp/eYESO5CX1wed8tD5/WhD+/z+IaIkYNgkYMiQIcE5dTbo5iFJaEsAQgkAigCfr4dJQKT5fQ7xE1GSM2wSMGDAAJ5aZzKiiMgJgGo0IPm68YKRqvZxfp+ITMSwSQCZjyAAkGLc4FOmA7okdGGf18uGn4hMiUkAGYYgADYBEF0A2i8AlAB4AFtXFwayTj8RESxaB0DUHW43IHgAuACIUBp/F4BMpUOvjBZIyql8drtGURIRGQOTADIUQVAa+xIANhcwcnoLSgB43RJsPpeyf1Bt/BO2X5CIyJg4HUCGIwiAs1CCc7SI5g8+QEbJWi7sIyLqASYBZEx2u9Lw33ADC/cQEfUQkwDSJ3X7XrQh/dajeJslCRlMAIiIeoRrAkh7kqQUAVAX86WkcFEfEVECcCSAtCGKSnk/9ehddU7f6eQpfERECcIkgLThcikL+NjoExFphkkA9T11Pl+SlNX6kbDhJyLSHNcEUO+FFucJnc/ngj0iIl3jSAD1jMvVcT7fZmMPn4jIQJgEUM9xPp+IyNCYBFCY1IYGZT4fUI7YjXbQDkvyEhEZHpMAs5Ik5ZfPp3zdOrR/xciRQH5+W5F+IiJKWpolAWVlZZg+fXrYtfr6elRVVWHUqFHIysrSKDKTUBfvFRUpv7cO7TdIEgQu6CMiMgVNkoAXX3wRW7ZsQVlZWfDajh078OyzzyInJwcVFRUoKCjAkiVLtAjPuCL17qP15lvL7hIRkXklNAlobm7GqlWrsHv3bgwcODB43e/3w+l0Ytu2bbBarWhsbMSMGTNQUFDAXmk0aqndurrwVfpAeO+eiIgoioQmAWvWrMHgwYPxs5/9DM8880zw+r59+5CRkQGr1QoAGDx4MHJzc7F//34mAdGop+jZbEBhoVKUh58VERF1Q0KTgOXLl8NiscCnDle3am5uxrhx48Kupaeno7q6Oubrha4bWLhwIRYtWtR3wfahhoaGLt2X2tCA/gcPKr+/+y76HzwIKdqwfaRhfknqeZCtuhqrXhgpXiPFChgrXsYaP0aKV8+xbty4EZs2bdI6jA4SmgRYLJELFPr9/g6PWSwWBAKBmK9XVVXVZ7HFiyQBBw+m46abhsJmC3lAPUBH/bM6nK/27u+/H9iyRZOREKONvhgpXiPFChgrXsYaP0aKV6+xLlu2DMuWLQt+rZfF77rYIpiWlga/3x92LRAIoF+/fhpF1HuiCDjsEiRBAGxDgf8BBIfSgRcEAA5Hh5X5REREiaSLJGD48OE4dOhQ2LWmpibMmjVLo4i6KcKqfJsoohZASm1bsR2ptby+1wsIXJ1PREQa08UBQpMmTQKA4FqBo0ePory8HFOnTtUyrNjsdiAzs+3AHJcr+JALTmSW1CKlfbU9JyDZ2gryERERaUkXIwEWiwXPP/88li5dCqvVisrKSqxatQpDhw5NbCDqwjp1612so3ALC9vm79vxeACpMMp7FAKii7v3iIhIe5okAXl5eWGFggBgypQpOHDgQOKC8HjaGnp1z726oMRmU/6clxf9+ep8fjuSBEgAIER5nsSdfEREpA+6GAmIC7Vxj9BTB6CMyauNfWFhny3MEwTAJig5BaK8NRERkR4YOwmIVCZXvRa63S6SOK7GLywERAcAL8JHBEQADqCQGwGIiEgHDJsEVFVXt1XNU3+pE+3RGv4EUWcKHHYoowEClARAVHIPjcMjIiICYOAkIGvsWF0XCyoqUhp7UQQ++KAZ/+bMgI0jAEREpCOGTQKMQBCUZECSmiEIGVqHQ0REFEYXdQKIiIgo8ZgEEBERmRSTACIiIpNiEkBERGRSTAKIiIhMikkAERGRSTEJICIiMikmAURERCbFJICIiMikmAQQERGZFJMAIiIik2ISQEREZFJMAoiIiEyKSQAREZFJMQkgIiIyKSYBREREJsUkgIiIyKSYBBAREZkUkwAiIiKTYhJARERkUkwCiIiITIpJABERkUkxCSAiIjIpJgFEREQmxSSAiIjIpJgEEBERmRSTACIiIpNiEkBERGRSTAKIiIhMikkAERGRSTEJICIiMikmAURERCbFJICIiMikdJUE1NfXY8+ePaiqqtI6FCIioqSnmyRgx44dmDdvHnbv3o3i4mKsXbtW65CIiIiSWqrWAQCA3++H0+nEtm3bYLVa0djYiBkzZqCgoACCIGgdHhERUVLSxUjAvn37kJGRAavVCgAYPHgwcnNzsX//fo0jIyIiSl66GAlobm7GuHHjwq6lp6ejuro65vOysrKCf164cCEWLVoUl/h6q6GhQesQusxIsQLGitdIsQLGipexxo+R4tVzrBs3bsSmTZu0DqMDXSQBfr8fFkv4oITFYkEgEIj5PCMtIDTStIaRYgWMFa+RYgWMFS9jjR8jxavXWJctW4Zly5YFvw7txGpJF9MBaWlp8Pv9YdcCgQBSU3WRoxARESUlXSQBw4cPx6FDh8KuNTU1YeLEiRpFRERElPx0kQRMmjQJAODz+QAAR48eRXl5OaZOnaplWERERElNF+PtFosFzz//PJYuXQqr1YrKykqsWrUKQ4cO1To0IiKipKWLJAAApkyZggMHDmgdBhERkWnoYjqAiIiIEo9JABERkUkxCSAiIjIpJgFEREQmxSSAiIjIpJgEEBERmRSTACIiIpNiEkBERGRSTAKIiIhMikkAERGRSRkyCZAk4MsvJ2sdBhERkaEZKglwuYCUFCDTDjRYNyIzU7lGRERE3aebA4Q643AAHgmA3HZNkoASh/Jnp1ODoIiIiAzMMCMBHg8Ab7uLAgA3UFKS6GiIiIiMzxBJgMcDoCjKgwIAGyCKiYmFiIgoWRgiCeiUoEwNEBERUdcZIgmw2QCIMW4QW+8hIiKiLjNEEiAIgE0AEGkngEN5TBASGREREZHxGSIJAAC3G7CJAOxQkgEXgEzAJgHe9gsGiYiIqFOGSQIEQUkEvE6gBMCQX/0KXjcTACIiop4yTBIAtE4L2JSaAEOGvMB1AERERL1gqCSAiIiI+g6TACIiIpNiEkBERGRSTAKIiIhMikkAERGRSTEJICIiMikmAURERCbFJICIiMikmAQQERGZFJMAIiIik2ISQEREZFJMAoiIiEyKSQAREZFJMQkgIiIyKSYBREREJsUkgIiIyKSYBCTAxo0btQ6hy4wUK2CseI0UK2CseBlr/BgpXiPFqheaJAFlZWURr9fX12PPnj2oqqpKcETxtWnTJq1D6DIjxQoYK14jxQoYK17GGj9GitdIsepFwpOAF198ET/96U87XN+xYwfmzZuH3bt3o7i4GGvXrk10aERERKaSmqg3am5uxqpVq7B7924MHDgw7DG/3w+n04lt27bBarWisbERM2bMQEFBAQRBSFSIREREppKwJGDNmjUYPHgwfvazn+GZZ54Je2zfvn3IyMiA1WoFAAwePBi5ubnYv39/1CRg8uTJyMrKinfYfYaxxo+R4jVSrICx4mWs8WOkeI0S6+TJk7UOAUACk4Dly5fDYrHA5/N1eKy5uRnjxo0Lu5aeno7q6uqor8cFIERERL2TsDUBFkv0t/L7/R0et1gsCAQC8Q6LiIjItOIyErBy5Uq88sorAICBAwdG3Q2gSktLg9/vD7sWCATQr1+/eIRHREREiFMScO+992LGjBnKG6R2/hbDhw/HoUOHwq41NTVh1qxZ8QiPiIiIEKckYMyYMRgzZkyX7580aRIAwOfzIS8vD0ePHkV5eTlWrFgRj/CIiIgICVwYGIvFYsHzzz+PpUuXwmq1orKyEqtWrcLQoUO1Do2IiChppciyLGsdBBERESUezw4gIiIyKSYBREREJqWLNQHdUV9fj6qqKowaNcowlaHKysowffp0rcPoVE1NDSRJwuDBg/H1r39d63BiqqqqQn19PaxWq6FKS3/44Ye48sorMWzYMK1DiaixsRHHjh0LuzZ27FgMGjRIo4hia2xsxAcffICBAwdiypQpWocTVaTPFQCGDh2q2+9fSZJQU1ODq666CuPHj9c6nE6pP7+uueYajB49WutwoorUHmjZrhlqTcCOHTvw7LPPIicnBxUVFSgoKMCSJUu0DiumF198EVu2bOm0VoLWVq5cib1792LixImorq7GwIED4Xa7kZaWpnVoHfzyl7/Em2++iYkTJ+L999/H3Xffjfvvv1/rsDpVU1ODO++8E7/85S+Rn5+vdTgR/fa3v8Xq1avD/t3XrVuHadOmaRhVZD6fD0888QRycnJQV1eHtLQ0/P73v49ZmEwrb731Fh5//PGwa2fPnsU999yDkpISbYKKwe1246WXXkJOTg4++ugj3HTTTVi5cqXWYUX13HPP4dVXX8Utt9yCjz76CLfddhsefvhhrcPqIFJ7oHm7JhtES0uLPGHCBPno0aOyLMvyp59+Kt9www1ybW2ttoFF0dTUJD/++OPyhAkT5GnTpmkdTkyHDx+Wr732WrmpqSl47bbbbpP/9Kc/aRhVZNXV1WGx/r//9//k8ePHy59++qnGkcV2/vx5+Y477pBtNpv89ttvax1OVD/84Q/lP/zhD1qH0amWlhZ56tSp8rvvvhu89p3vfEd+8803NYyq68rKyuTc3PdkNe8AAAZNSURBVNyw/3N64ff75ezsbLm6ulqWZVk+ffq0nJ2dLR8+fFjjyCL729/+Jl977bXyxx9/LMuyLJ89e1a22+3y3/72N40jaxOtPdBDu6a/lDmKWIcM6VHogUl6l5GRgfXr1yMjIyN4LTMzEx9//LGGUUV29dVX49VXXw3GevHFF8Pv9+PChQsaRxbb6tWr8Y1vfANjx47VOpSYDh8+jKuvvhqNjY26/kx9Ph+uuuqqsENY3njjDdx6660aRtU1X375JZ544gmsXLky7P+cnsiyjP79+wMALrnkElgsFpw/f17jqCKrqanB9OnTMWLECABKBdqJEydi9+7dGkfWJlp7oId2zTBrAnpyyJCWYh2YpDcjRowI/gcCgLq6Oni9XhQXF2sYVWQWiwVWqxV+vx/bt2/H5s2b8dBDD+Hyyy/XOrSo3nvvPbz77rt45ZVXdD1t4ff78Y9//AMrVqxAY2MjmpubMXv2bF0OAzc1NWHUqFFYvnw5Xn/9dVx00UV46KGH8L3vfU/r0Dq1YcMGjBs3TrfrhCwWC5xOJx588EHk5+ejvLwcc+fOxQ033KB1aBGlpaXh+PHjYdc+++wzXU0LRWsP9NCu6edT6oTRDhnS0zdgd5w8eRJFRUV48MEHdb0YqLGxEefOncPw4cNx4MABNDc3ax1SRJ999hmWL1+O1atXax1Kp06ePIn8/Hz85je/QXl5ObxeL8rKyrBlyxatQ+ugpqYGu3fvxte+9jV8+OGH2LJlC37961/rdmRQde7cObjdbvzgBz/QOpSY/vznP2PAgAEYNmwYMjIy8Pe//x1ffvml1mFFlJOTg5MnT+K5557De++9h9LSUhw6dEhXbUO09kAP7ZphWqpohwx15WwC6pqPPvoId955JxYvXqzLUYBQw4YNw+LFi7Fhwwb0798fpaWlWocU0S9+8QtkZ2ejrq4OPp8PjY2NqKysRFVVldahdXDllVdi3bp1uPLKKwEAl19+OWbOnImKigqNI+voq1/9KkaPHo25c+cCUM6QnzlzJnbu3KlxZLHt2rULo0aNwnXXXad1KFHt3bsXf/3rX7F582bce++9WL9+PQDgd7/7ncaRRZaRkYFNmzahrq4O69atw+eff4477rhDl4ua29NDu2aYFpSHDMVXeXk5lixZgmeeeQbf/OY3tQ4nqmPHjqG8vBwLFy4MXrviiitw4sQJDaOKbtiwYTh8+DA2b94MADh+/Dh8Ph8GDRqkuy2udXV1eP/993HXXXcFr50/fx4XXXSRhlFFNmTIkA7XjDD65vP5MHPmTK3DiKmpqQljx44N+3cfPXo06uvrNYwqui+++AJnzpzBCy+8ELxWXFys2x04oXTRriVsCWIv+f1+edq0abIoirIsK6vEr7/+evnUqVMaRxabKIq63x3wj3/8Q54wYYK8d+9e+fz588FfLS0tWofWQXV1tZydnS3//e9/l2VZlk+dOiXn5OTI77zzjsaRdc2///u/63Z3wJEjR+Ts7OzgSuUTJ07IOTk5cllZmcaRdXT+/Hl5ypQp8t69e2VZVlZV5+bmygcPHtQ4stimTp0a/BmmV4cPH5avv/764P+x06dPy9/5znfk7du3axxZZB9//LGcnZ0tnzhxQpZlWf7LX/4i33TTTfLp06c1jqyj9u2BHto1w4wE8JCh+Nm8eTPOnDmDBx54IOz6ggULsHz5co2iiuyaa67BU089hdmzZ2PixImoqKhAcXFx8Ohq6rmsrCw8+eSTuOeee3Ddddfho48+wiOPPKLLGgEXX3wxXnjhBTz22GNYv349ampq8N3vflfXBYMCgQA+/fRTZGdnax1KTOPHj8dPf/pT3HPPPfja176GyspKzJkzB3PmzNE6tIhGjBiBn/zkJ/j2t7+Nr33ta2hoaMALL7yg2wJXofTQrhmqWJDqyy+/RP/+/Q0x/EfxEQgE0NjYiMsuu0yXw9VGFggEcPbsWcP8H/vXv/6Ffv368fugj6nfB2lpaYb4bP1+P86dO4cBAwZoHUqPaNWuGTIJICIiot7Tf5pPREREccEkgIiIyKSYBBAREZkUkwAiIiKTYhJARERkUkwCiIiITIpJABERkUkxCSAiIjIpJgFEREQmxSSAiIjIpJgEEBERmRSTACIiIpNiEkBERGRS/x9RXVfii7N+igAAAABJRU5ErkJggg==\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":42614,"title":"Create a figure and plot data","description":"Given two data vectors (x,y), open a new figure and plot the data. Return the figure handle.","description_html":"\u003cp\u003eGiven two data vectors (x,y), open a new figure and plot the data. Return the figure handle.\u003c/p\u003e","function_template":"function h = plotdata(x,y)\r\n  h = [];\r\nend","test_suite":"%%\r\nx = 1:100;\r\ny = 1:100;\r\nh = plotdata(x,y);\r\nassert(ishandle(h))\r\nassert(isequal(h.Children.Children.XData,x))\r\nassert(isequal(h.Children.Children.YData,y))\r\n\r\n%%\r\nx = -2*pi:pi/8:2*pi;\r\ny = sin(x);\r\nh = plotdata(x,y);\r\nassert(ishandle(h))\r\nassert(isequal(h.Children.Children.XData,x))\r\nassert(isequal(h.Children.Children.YData,y))\r\n\r\n%%\r\ntheta = linspace(0,2*pi);\r\nx = 2*cos(theta) + 4;\r\ny = 2*sin(theta) + 3;\r\nh = plotdata(x,y);\r\nassert(ishandle(h))\r\nassert(isequal(h.Children.Children.XData,x))\r\nassert(isequal(h.Children.Children.YData,y))","published":true,"deleted":false,"likes_count":4,"comments_count":3,"created_by":4793,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":557,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-09-12T19:53:21.000Z","updated_at":"2026-10-28T19:07:06.000Z","published_at":"2015-09-12T19:53:21.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eGiven two data vectors (x,y), open a new figure and plot the data. Return the figure handle.\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\"}]}"},{"id":44929,"title":"Plot Line Specifications","description":"Create a line plot for function cos(x) where x is a vector of linearly spaced values going from 0 to input N with an increment of 0.03 between values. Use a red dotted line with a * marker. The function must return the handle to your plot.","description_html":"\u003cp\u003eCreate a line plot for function cos(x) where x is a vector of linearly spaced values going from 0 to input N with an increment of 0.03 between values. Use a red dotted line with a * marker. The function must return the handle to your plot.\u003c/p\u003e","function_template":"function f = cosplot(N)\r\n\r\n  f = gcf;\r\nend\r\n","test_suite":"%%\r\nN = 2*pi;\r\ny = cos(0:0.03:N);\r\nf = cosplot(N);\r\nassert(isequal(f.YData,y) \u0026\u0026 isequal(f.Color, [1 0 0]) \u0026\u0026 strcmp(f.LineStyle, ':') \u0026\u0026 strcmp(f.Marker,'*') );","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":162851,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":330,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2019-06-28T13:12:26.000Z","updated_at":"2026-10-27T14:13:58.000Z","published_at":"2019-06-28T13:12:26.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eCreate a line plot for function cos(x) where x is a vector of linearly spaced values going from 0 to input N with an increment of 0.03 between values. Use a red dotted line with a * marker. The function must return the handle to your plot.\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\"}]}"},{"id":55415,"title":"3D Plots and Colorbars","description":"Use the matrices X, Y, and Z provided in the function template to create a surface plot. Add a colorbar to the surface plot and label its y-axis  \"Here is a colorbar\". Your function should return the figure handle as output.\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 72px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 36px; transform-origin: 407px 36px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 379.5px 8px; transform-origin: 379.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eUse the matrices X, Y, and Z provided in the function template to create a surface plot. Add a colorbar to the surface plot and label its y-axis  \"Here is a colorbar\". Your function should return the figure handle as output.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function f = myfunction\r\n   f = figure; % gets the figure handle\r\n   [X,Y,Z] = sphere(20);\r\n\r\n\r\nend","test_suite":"%% Check surface plot\r\nf = myfunction;\r\ns__ = findobj(f,'Type','surface');\r\nassert( ~isempty(s__) )\r\n%% Check XData\r\nf = myfunction;\r\n[X,Y,Z] = sphere(20);\r\ns__ = findobj(f,'Type','surface');\r\nassert(isequaln(X(:),s__.XData(:)))\r\n%% Check YData\r\nf = myfunction;\r\n[X,Y,Z] = sphere(20);\r\ns__ = findobj(f,'Type','surface');\r\nassert(isequaln(Y(:),s__.YData(:)))\r\n%% Check ZData\r\nf = myfunction;\r\n[X,Y,Z] = sphere(20);\r\ns__ = findobj(f,'Type','surface');\r\nassert(isequaln(Z(:),s__.ZData(:)))\r\n%%\r\nf = myfunction;\r\nassert(isequal(f.Children(1).Type,'colorbar'))\r\n%%\r\nf = myfunction;\r\nassert(isequal(f.Children(1).Label.String,\"Here is a colorbar\"))","published":true,"deleted":false,"likes_count":4,"comments_count":2,"created_by":140016,"edited_by":287,"edited_at":"2022-10-10T14:36:25.000Z","deleted_by":null,"deleted_at":null,"solvers_count":276,"test_suite_updated_at":"2022-10-10T14:26:00.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-02T17:46:13.000Z","updated_at":"2026-10-27T14:28:24.000Z","published_at":"2022-10-10T14:26:00.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eUse the matrices X, Y, and Z provided in the function template to create a surface plot. Add a colorbar to the surface plot and label its y-axis  \\\"Here is a colorbar\\\". Your function should return the figure handle as output.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":44934,"title":"Plot Damped Sinusoid","description":"Given two vectors |t| and |y|, make a plot containing a blue ( |b| ) dashed ( |--| ) line of |y| versus |t|.\r\n\r\nMark the minimum value |m| of the vector |y| by adding a point to the plot. This point should be a red asterisk marker, and it must be added after the blue line. \r\n\r\n\u003c\u003chttps://lcms-files.mathworks.com/content/file/ee776c83-05d2-41fc-b190-263b352fa091/dampedSine.png?versionId=5Z6X_kCMJTlGt4szfYHbLFCifrIW04ys\u003e\u003e \r\n\r\nReturn the minimum value of y as output |m|.","description_html":"\u003cp\u003eGiven two vectors \u003ctt\u003et\u003c/tt\u003e and \u003ctt\u003ey\u003c/tt\u003e, make a plot containing a blue ( \u003ctt\u003eb\u003c/tt\u003e ) dashed ( \u003ctt\u003e--\u003c/tt\u003e ) line of \u003ctt\u003ey\u003c/tt\u003e versus \u003ctt\u003et\u003c/tt\u003e.\u003c/p\u003e\u003cp\u003eMark the minimum value \u003ctt\u003em\u003c/tt\u003e of the vector \u003ctt\u003ey\u003c/tt\u003e by adding a point to the plot. This point should be a red asterisk marker, and it must be added after the blue line.\u003c/p\u003e\u003cimg src = \"https://lcms-files.mathworks.com/content/file/ee776c83-05d2-41fc-b190-263b352fa091/dampedSine.png?versionId=5Z6X_kCMJTlGt4szfYHbLFCifrIW04ys\"\u003e\u003cp\u003eReturn the minimum value of y as output \u003ctt\u003em\u003c/tt\u003e.\u003c/p\u003e","function_template":"function m = plot_cos(y, t)\r\n m = y+t;\r\nend\r\n\r\n","test_suite":"%%\r\nclf;\r\nt = linspace(0,15,400);\r\ny = exp(-0.5*t).*cos(2*pi.*t);\r\nm = plot_cos(y, t);\r\nassert(abs(m - (-0.781239288889930)) \u003c= 1e-4)\r\nh = findobj(gcf, 'Type', 'Line');\r\nif length(h) == 2\r\n     assert(isequal([h.Color], [1 0 0 0 0 1]), 'Check plot colors')\r\n     assert(strcmp([h.LineStyle], 'none--'), 'Check the line style')\r\n     assert(strcmp([h.Marker],'*none'), 'Check marker type')\r\n     assert(isequal([h.YData],[m, y]), 'Check plotted data')\r\nelseif length(h) == 1\r\n     assert(isequal([h.Color], [0 0 1]),'Check plot colors')\r\n     assert(strcmp([h.LineStyle], '--'), 'Check the line style')\r\n     assert(strcmp([h.Marker],'*'),'Check marker type')\r\n     assert(isequal([h.YData],y),'Check plotted data' )\r\n     assert(isequal([h.MarkerEdgeColor], [1 0 0]),'Check plot colors')\r\n     assert(isequal([h.MarkerIndices], 14),'Check marker location')\r\nelseif length(h)\u003e2\r\n     error('There may be too many plots on the figure.')\r\nelse\r\n     error('No plot found.')\r\nend\r\n\r\n\r\n%%\r\nclf;\r\nt = linspace(2,5,100);\r\ny = exp(-0.5*t).*cos(2*pi.*t);\r\nm = plot_cos(y, t);\r\nassert(abs(m - (-0.287376348726584)) \u003c= 1e-4) \r\nh = findobj(gcf, 'Type', 'Line');\r\nif length(h) == 2\r\n     assert(isequal([h.Color], [1 0 0 0 0 1]), 'Check plot colors')\r\n     assert(strcmp([h.LineStyle], 'none--'), 'Check the line style')\r\n     assert(strcmp([h.Marker],'*none'), 'Check marker type')\r\n     assert(isequal([h.YData],[m, y]), 'Check plotted data')\r\nelseif length(h) == 1\r\n     assert(isequal([h.Color], [0 0 1]),'Check plot colors')\r\n     assert(strcmp([h.LineStyle], '--'), 'Check the line style')\r\n     assert(strcmp([h.Marker],'*'),'Check marker type')\r\n     assert(isequal([h.YData],y),'Check plotted data' )\r\n     assert(isequal([h.MarkerEdgeColor], [1 0 0]),'Check plot colors')\r\n     assert(isequal([h.MarkerIndices],17 ),'Check marker location')\r\nelseif length(h)\u003e2\r\n     error('There may be too many plots on the figure.')\r\nelse\r\n     error('No plot found.')\r\nend\r\n","published":true,"deleted":false,"likes_count":74,"comments_count":29,"created_by":162851,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":10886,"test_suite_updated_at":"2020-04-11T14:59:08.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2019-07-10T14:05:33.000Z","updated_at":"2026-10-29T13:24:18.000Z","published_at":"2019-08-29T18:08:02.000Z","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.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\u003eGiven two vectors\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003et\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, make a plot containing a blue (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ) dashed (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e--\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ) line of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e versus\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003et\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eMark the minimum value\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of the vector\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e by adding a point to the plot. This point should be a red asterisk marker, and it must be added after the blue line.\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:r\u003e\u003cw:t\u003eReturn the minimum value of y as output\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\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.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\"}]}"},{"id":55770,"title":"Jack O'Lantern","description":"If visualized correctly, the data contained in the matrix A will look like a jack-o'-lantern. \r\nCreate a function that will visualize A as an indexed color image. Make sure the orientation of the face is correct! Remove the x-ticks and y-ticks. Change the colormap so that the background (A has the value 1) is white, the facial features (A has the value 0) are black, and the face (A has the value 0.5) is orange. \r\nYour function should return the figure handle as output.\r\n\r\n\r\nA simple test case:\r\nA = [1 0.5 0.5 0.5 0.5 1;\r\n    0.5 0.5 0.5 0.5 0.5 0.5;\r\n    0.5 0 0.5 0.5 0 0.5;\r\n    0.5 0.5 0.5 0.5 0.5 0.5;\r\n    0.5 0 0.5 0.5 0 0.5;\r\n    0.5 0.5 0 0 0.5 0.5;\r\n    1 0.5 0.5 0.5 0.5 1];\r\nsmileyFace(A)","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 670.967px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 335.483px; transform-origin: 407px 335.483px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 169.5px 8px; transform-origin: 169.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf visualized correctly, the data contained in the matrix \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eA\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 95.5px 8px; transform-origin: 95.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e will look like a jack-o'-lantern. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 64.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 32.25px; text-align: left; transform-origin: 384px 32.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 110px 8px; transform-origin: 110px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eCreate a function that will visualize \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eA\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 268px 8px; transform-origin: 268px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e as an indexed color image. Make sure the orientation of the face is correct! Remove the x-ticks and y-ticks. Change the colormap so that the background (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eA\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 143px 8px; transform-origin: 143px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e has the value 1) is white, the facial features (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eA\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 14px 8px; transform-origin: 14px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e has the value 0) are black, and the face (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eA\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 94.5px 8px; transform-origin: 94.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e has the value 0.5) is orange. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 174.5px 8px; transform-origin: 174.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYour function should return the figure handle as output.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 303.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 151.75px; text-align: left; transform-origin: 384px 151.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 380px;height: 298px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\" width=\"380\" height=\"298\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 59px 8px; transform-origin: 59px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eA simple test case:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 163.467px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 81.7333px; transform-origin: 404px 81.7333px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 100px 8.5px; tab-size: 4; transform-origin: 100px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eA = [1 0.5 0.5 0.5 0.5 1;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 112px 8.5px; tab-size: 4; transform-origin: 112px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    0.5 0.5 0.5 0.5 0.5 0.5;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 96px 8.5px; tab-size: 4; transform-origin: 96px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    0.5 0 0.5 0.5 0 0.5;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 112px 8.5px; tab-size: 4; transform-origin: 112px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    0.5 0.5 0.5 0.5 0.5 0.5;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 96px 8.5px; tab-size: 4; transform-origin: 96px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    0.5 0 0.5 0.5 0 0.5;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 96px 8.5px; tab-size: 4; transform-origin: 96px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    0.5 0.5 0 0 0.5 0.5;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 100px 8.5px; tab-size: 4; transform-origin: 100px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    1 0.5 0.5 0.5 0.5 1];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003esmileyFace(A)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function f = smileyFace(A)\r\n    f = figure; % gets the figure handle\r\n\r\nend","test_suite":"A = [1   1   0.5 0.5 0.5 0.5 0.5 0.5 0.5 1   1  ;...\r\n     1   0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1  ;...\r\n     0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5;...\r\n     0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5;...\r\n     0.5 0.5 0   0   0.5 0.5 0.5 0   0   0.5 0.5;...\r\n     0.5 0.5 0   0   0.5 0.5 0.5 0   0   0.5 0.5;...\r\n     0.5 0.5 0.5 0.5 0.5 0   0.5 0.5 0.5 0.5 0.5;...\r\n     0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5;...\r\n     0.5 0   0   0.5 0.5 0.5 0.5 0.5 0   0   0.5;...\r\n     0.5 0.5 0.5 0   0.5 0.5 0.5 0   0.5 0.5 0.5;...\r\n     0.5 0.5 0.5 0.5 0   0   0   0.5 0.5 0.5 0.5;...\r\n     0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5;...\r\n     0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5;...\r\n     1   1   0.5 0.5 0.5 0.5 0.5 0.5 0.5 1   1  ];\r\ng = smileyFace(A) \r\n%% Is the image displayed correctly?\r\nf1 = findobj(g,'Type','Image');\r\nf2 = findobj(g,'Type','Surface');\r\nif ~isempty(f1)\r\nassert(isequal(f1.CData(:),A(:)))\r\nelseif ~isempty(f2)\r\nax = gca;\r\nassert(isequal(f2.CData(:),A(:)))\r\nassert(isequal(ax.YDir,'reverse'))\r\nend\r\n%% Are the xticks and yticks removed?\r\nf__ = findobj(g,'Type','Axes');\r\nassert(isempty(f__.XTick))\r\nassert(isempty(f__.YTick))\r\n%% Is the colormap correct?\r\nc__ = colormap;\r\nassert(all(abs(c__(1,:)-[0 0 0])\u003c0.1))\r\nassert(all(abs(c__(end,:)-[1 1 1])\u003c0.1))\r\nn = height(c__);\r\nn = round((n+1)/2);\r\nc__ = c__(n,:);\r\nassert( (abs(c__(1) - 1) \u003c 0.1) \u0026\u0026 (abs(c__(3)) \u003c 0.1) \u0026\u0026 (abs(c__(2) - 0.5) \u003c 0.3))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":2,"created_by":140016,"edited_by":287,"edited_at":"2022-10-24T19:52:57.000Z","deleted_by":null,"deleted_at":null,"solvers_count":252,"test_suite_updated_at":"2022-10-10T15:01:09.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-16T17:52:12.000Z","updated_at":"2026-10-27T17:23:26.000Z","published_at":"2022-10-10T14:30:55.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf visualized correctly, the data contained in the matrix \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e will look like a jack-o'-lantern. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCreate a function that will visualize \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e as an indexed color image. Make sure the orientation of the face is correct! Remove the x-ticks and y-ticks. Change the colormap so that the background (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e has the value 1) is white, the facial features (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e has the value 0) are black, and the face (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e has the value 0.5) is orange. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour function should return the figure handle as output.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"298\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"380\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA simple test case:\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[A = [1 0.5 0.5 0.5 0.5 1;\\n    0.5 0.5 0.5 0.5 0.5 0.5;\\n    0.5 0 0.5 0.5 0 0.5;\\n    0.5 0.5 0.5 0.5 0.5 0.5;\\n    0.5 0 0.5 0.5 0 0.5;\\n    0.5 0.5 0 0 0.5 0.5;\\n    1 0.5 0.5 0.5 0.5 1];\\nsmileyFace(A)]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55765,"title":"Adding Inset Plots","description":"You can use the axes function to define the position of an empty x/y axis. The position is measured relative the the bottom left corner of the container. \r\n\r\nCreate a function that will plot the inputs x and y. Your function should also create an inset plot displaying the first 20 elements in x and y. The inset plot should be located in the corner of the original and should be a fraction f the size of the original axes. Your function should return the figure handle as output. \r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1095.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 547.75px; transform-origin: 407px 547.75px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.25px; text-align: left; transform-origin: 384px 21.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 53px 8px; transform-origin: 53px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou can use the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003eaxes\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 315px 8px; transform-origin: 315px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e function to define the position of an empty x/y axis. The position is measured relative the the bottom left corner of the container. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 475.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 237.75px; text-align: left; transform-origin: 384px 237.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 589px;height: 470px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\" width=\"589\" height=\"470\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 367px 8px; transform-origin: 367px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eCreate a function that will plot the inputs x and y. Your function should also create an inset plot displaying the first 20 elements in x and y. The inset plot should be located in the corner of the original and should be a fraction f the size of the original axes. Your function should return the figure handle as output. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 487.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 243.75px; text-align: left; transform-origin: 384px 243.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 487px;height: 482px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\" width=\"487\" height=\"482\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function fig = insetPlot(x,y,scaleFactor)\r\n    fig = figure; % gets the figure handle\r\n    x1 = 0.1;\r\n    y1 = 0.1;\r\n    xWidth = 0.8;\r\n    yWidth = 0.8;\r\n    \r\n    ax1 = axes('Position',[x1 y1 xWidth yWidth]);\r\n\r\n\r\nend","test_suite":"x = linspace(0,10,100);\r\ny = sin(x);\r\nscaleFactor = 0.3;\r\ng__ = insetPlot(x,y,scaleFactor);\r\n%%Are there two axes?\r\nassert(isequal(length(g__.Children),2))   \r\n%%Is the position of the larger plot correct?\r\nassert(isequal(g__.Children(2).Position,[0.1 0.1 0.8 0.8]))\r\n%%Is the position of the smaller plot correct?\r\nassert(sum(g__.Children(1).Position-[0.66 0.66 0.24 0.24])\u003c1e-5)\r\n%%Is the data in the inset plot correct?\r\nf__ = findobj(g__.Children(1),'Type','Line');\r\nassert(isequal(f__.YData,sin(x(1:20))))\r\n%%Is the data in the larger plot correct?\r\nf__ = findobj(g__.Children(2),'Type','Line');\r\nassert(isequal(f__.YData,sin(x)))\r\n%%Are there two axes?\r\nclose all\r\ng__ = insetPlot(linspace(0,10,100),sin(2*x),0.5)\r\nassert(isequal(length(g__.Children),2))   \r\n%%Is the position of the larger plot correct?\r\ng__ = insetPlot(linspace(0,10,100),sin(2*x),0.5)\r\nassert(isequal(g__.Children(2).Position,[0.1 0.1 0.8 0.8]))\r\n%%Is the position of the smaller plot correct?\r\ng__ = insetPlot(linspace(0,10,100),sin(2*x),0.5)\r\nassert(sum(g__.Children(1).Position-[0.5 0.5 0.4 0.4])\u003c1e-5)\r\n%%Is the data in the inset plot correct?\r\ng__ = insetPlot(linspace(0,10,100),sin(2*x),0.5)\r\nf__ = findobj(g__.Children(1),'Type','Line');\r\nassert(isequal(f__.YData,sin(2*x(1:20))))\r\n%%Is the data in the larger plot correct?\r\ng__ = insetPlot(linspace(0,10,100),sin(2*x),0.5)\r\nf__ = findobj(g__.Children(2),'Type','Line');\r\nassert(isequal(f__.YData,sin(2*x)))","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":140016,"edited_by":287,"edited_at":"2022-10-10T14:28:08.000Z","deleted_by":null,"deleted_at":null,"solvers_count":194,"test_suite_updated_at":"2022-10-10T14:23:33.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-16T17:39:24.000Z","updated_at":"2026-10-27T14:42:09.000Z","published_at":"2022-10-10T14:23:33.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can use the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eaxes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e function to define the position of an empty x/y axis. The position is measured relative the the bottom left corner of the container. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"470\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"589\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCreate a function that will plot the inputs x and y. Your function should also create an inset plot displaying the first 20 elements in x and y. The inset plot should be located in the corner of the original and should be a fraction f the size of the original axes. Your function should return the figure handle as output. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"482\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"487\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\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\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image2.png\",\"relationshipId\":\"rId2\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null},{\"partUri\":\"/media/image2.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":44277,"title":"Given n, create n random numbers such that their standard deviation is also n.","description":"Given n, create n random numbers such that their standard deviation is also n.","description_html":"\u003cp\u003eGiven n, create n random numbers such that their standard deviation is also n.\u003c/p\u003e","function_template":"function y = randpro(n)\r\n  y = n+3;\r\nend","test_suite":"%%\r\nx = 10;\r\nassert(length(randpro(x))==10)\r\nassert(std(randpro(x))\u003e9)\r\nassert(std(randpro(x))\u003c11)\r\n\r\n%%\r\nx = 17;\r\nassert(length(randpro(x))==17)\r\nassert(std(randpro(x))\u003e16)\r\nassert(std(randpro(x))\u003c18)\r\n\r\n","published":true,"deleted":false,"likes_count":6,"comments_count":1,"created_by":166,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":244,"test_suite_updated_at":"2017-08-06T19:53:33.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2017-08-06T19:46:05.000Z","updated_at":"2026-10-27T14:43:19.000Z","published_at":"2017-08-06T19:53:33.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eGiven n, create n random numbers such that their standard deviation is also n.\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\"}]}"},{"id":42503,"title":"Generating random matrix with given probability mass function","description":"Inspired by \u003chttp://www.mathworks.com/matlabcentral/cody/problems/2356-simulating-the-selection-of-a-state-with-given-probabilities Problem 2356. Simulating the selection of a state with given probabilities\u003e, let's consider a similar yet more useful problem. Write a function\r\n\r\n                             x = rndsampling(m,n,prob)\r\n\r\nto generate an m-by-n matrix x, whose entries are drawn independently from integer symbols 1:numel(prob) according to the given probability mass function prob. Specifically, symbol k occurs with probability prob(k), k = 1, 2, ..., numel(prob), where all(prob\u003e0) == 1 and sum(prob) == 1.","description_html":"\u003cp\u003eInspired by \u003ca href = \"http://www.mathworks.com/matlabcentral/cody/problems/2356-simulating-the-selection-of-a-state-with-given-probabilities\"\u003eProblem 2356. Simulating the selection of a state with given probabilities\u003c/a\u003e, let's consider a similar yet more useful problem. Write a function\u003c/p\u003e\u003cpre\u003e                             x = rndsampling(m,n,prob)\u003c/pre\u003e\u003cp\u003eto generate an m-by-n matrix x, whose entries are drawn independently from integer symbols 1:numel(prob) according to the given probability mass function prob. Specifically, symbol k occurs with probability prob(k), k = 1, 2, ..., numel(prob), where all(prob\u0026gt;0) == 1 and sum(prob) == 1.\u003c/p\u003e","function_template":"function x = rndsampling(m,n,prob);\r\n  x = rand(m,n)\r\nend","test_suite":"%%\r\nrnd = sort(rand(randi([10,20]),1));\r\nprob = vertcat(rnd(1,:),diff(rnd,1,1),1-rnd(end,:));\r\nsz = [1 1e5;1e5 1;1e3 1e2;randi([100 200], 100, 2)];\r\nsz = sz(randi(size(sz,1)),:);\r\nx = rndsampling(sz(1),sz(2),prob);\r\nprob_est = histcounts(x,1:numel(prob)+1,'Normalization','probability').';\r\nerr = mean(abs(prob_est - prob))\r\nassert(err \u003c 0.005 \u0026\u0026 isequal(size(x),sz) \u0026\u0026 all(~isnan(x(:))));\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":1,"created_by":12569,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":136,"test_suite_updated_at":"2015-08-13T18:44:59.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2015-08-11T19:26:49.000Z","updated_at":"2026-10-27T14:51:37.000Z","published_at":"2015-08-11T19:26:49.000Z","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\u003eInspired by\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=\\\"http://www.mathworks.com/matlabcentral/cody/problems/2356-simulating-the-selection-of-a-state-with-given-probabilities\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eProblem 2356. Simulating the selection of a state with given probabilities\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e, let's consider a similar yet more useful problem. Write a function\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[                             x = rndsampling(m,n,prob)]]\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\u003eto generate an m-by-n matrix x, whose entries are drawn independently from integer symbols 1:numel(prob) according to the given probability mass function prob. Specifically, symbol k occurs with probability prob(k), k = 1, 2, ..., numel(prob), where all(prob\u0026gt;0) == 1 and sum(prob) == 1.\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\"}]}"},{"id":174,"title":"Roll the Dice!","description":"Description\r\nReturn two random integers between 1 and 6, inclusive, to simulate rolling 2 dice.\r\nExample\r\n   [x1,x2] = rollDice();\r\n   x1 = 5;\r\n   x2 = 2;","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 152.312px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407.5px 76.1562px; transform-origin: 407.5px 76.1562px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384.5px 10.5px; text-align: left; transform-origin: 384.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eDescription\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384.5px 10.5px; text-align: left; transform-origin: 384.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eReturn two random integers between 1 and 6, inclusive, to simulate rolling 2 dice.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384.5px 10.5px; text-align: left; transform-origin: 384.5px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eExample\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 61.3125px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404.5px 30.6562px; transform-origin: 404.5px 30.6562px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 0.666667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.666667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.666667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.666667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404.5px 10.2188px; text-wrap: nowrap; transform-origin: 404.5px 10.2188px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e   [x1,x2] = rollDice();\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 0.666667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.666667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.666667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.666667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404.5px 10.2188px; text-wrap: nowrap; transform-origin: 404.5px 10.2188px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e   x1 = 5;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 0.666667px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.666667px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.666667px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.666667px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404.5px 10.2188px; text-wrap: nowrap; transform-origin: 404.5px 10.2188px; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; unicode-bidi: normal; white-space-collapse: preserve; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e   x2 = 2;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [x1,x2] = rollDice()\r\n  x1 = 1;\r\n  x2 = 1;\r\nend","test_suite":"%%\r\nfiletext = fileread('rollDice.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp');\r\nassert(~illegal)\r\n\r\n%%\r\nx1 = zeros(1,6000);\r\nx2 = zeros(1,6000);\r\nfor ii = 1:6000\r\n    [x1(ii),x2(ii)] = rollDice();\r\nend\r\nnumCt = sum( bsxfun( @eq, x1, (1:6)' ), 2 ) + sum( bsxfun( @eq, x2, (1:6)' ), 2 );\r\nassert(all(round(numCt/200) == 10) \u0026\u0026 sum(numCt) == 12000)\r\n","published":true,"deleted":false,"likes_count":62,"comments_count":21,"created_by":134,"edited_by":427930,"edited_at":"2024-08-01T11:35:52.000Z","deleted_by":null,"deleted_at":null,"solvers_count":10832,"test_suite_updated_at":"2012-01-30T07:51:11.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-01-30T07:38:01.000Z","updated_at":"2026-10-27T14:52:57.000Z","published_at":"2024-08-01T11:35:52.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eDescription\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReturn two random integers between 1 and 6, inclusive, to simulate rolling 2 dice.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eExample\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[   [x1,x2] = rollDice();\\n   x1 = 5;\\n   x2 = 2;]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":1227,"title":"Generate a random matrix A of (1,-1)","description":"Input n: is an positive integer which serves as the dimension of the matrix A;\r\n\r\nOutput: A=(Aij),where each entry Aij is either 1 or -1 which is generated\r\nrandomly. \r\n\r\nFor n\u003c1 the function should deliver an empty matrix.","description_html":"\u003cp\u003eInput n: is an positive integer which serves as the dimension of the matrix A;\u003c/p\u003e\u003cp\u003eOutput: A=(Aij),where each entry Aij is either 1 or -1 which is generated\r\nrandomly.\u003c/p\u003e\u003cp\u003eFor n\u0026lt;1 the function should deliver an empty matrix.\u003c/p\u003e","function_template":"function y = rand_plusminus1(x)\r\n  y = [-1 1; 1 -1];\r\nend","test_suite":"%% positive integers\r\nx = 5;\r\nassert(isequal(unique(rand_plusminus1(x)),[-1;1]))\r\n\r\n%% one element\r\nx = 1;\r\nassert(isequal(abs(rand_plusminus1(x)),1))\r\n\r\n%% zero =\u003e empty matrix\r\nx = 0;\r\nassert(isequal(rand_plusminus1(x),[]))\r\n\r\n%% positive integers\r\nx = 999;\r\nassert(isequal(unique(rand_plusminus1(x)),[-1;1]))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":1,"created_by":3105,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":436,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2013-01-26T12:05:02.000Z","updated_at":"2026-10-27T14:55:08.000Z","published_at":"2013-01-26T12:06:29.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eInput n: is an positive integer which serves as the dimension of the matrix A;\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOutput: A=(Aij),where each entry Aij is either 1 or -1 which is generated randomly.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor n\u0026lt;1 the function should deliver an empty matrix.\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\"}]}"},{"id":1089,"title":"Create a random vector of integers with given sum","description":"Your task today is to write a function that returns a vector of integer numbers, between, and including, 1 and m, of which the sum is equal to s. Therefore, the length of the vector is determined by m and s.\r\n\r\nFor example, to create a sequence of characters 'A'-'Z', with 'character-sum' (A=1, B=2, Z=26) of 25420, use \r\n\r\n  char(random_sequence(26,25420)+'A'-1)\r\n\r\nThis task is related to \u003chttp://www.mathworks.nl/matlabcentral/cody/problems/1090 problem 1090\u003e\r\n\r\nThe \"Test Suite\" will check the sum, the mean, and the distribution.\r\n\r\nNote: Solutions wrapped in eval(c), inline, str2func, regexprep (dynamic regular expressions), etc, are not appreciated.","description_html":"\u003cp\u003eYour task today is to write a function that returns a vector of integer numbers, between, and including, 1 and m, of which the sum is equal to s. Therefore, the length of the vector is determined by m and s.\u003c/p\u003e\u003cp\u003eFor example, to create a sequence of characters 'A'-'Z', with 'character-sum' (A=1, B=2, Z=26) of 25420, use\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003echar(random_sequence(26,25420)+'A'-1)\r\n\u003c/pre\u003e\u003cp\u003eThis task is related to \u003ca href=\"http://www.mathworks.nl/matlabcentral/cody/problems/1090\"\u003eproblem 1090\u003c/a\u003e\u003c/p\u003e\u003cp\u003eThe \"Test Suite\" will check the sum, the mean, and the distribution.\u003c/p\u003e\u003cp\u003eNote: Solutions wrapped in eval(c), inline, str2func, regexprep (dynamic regular expressions), etc, are not appreciated.\u003c/p\u003e","function_template":"function y = random_sequence(m,s)\r\n  y = m*rand(1,s/m);\r\nend","test_suite":"%%\r\nnocheat = isempty(regexp(evalc('type random_sequence'),'([^f]eval|regexprep|inline|str2func)'));\r\nm = 26;\r\ns = 5000;\r\ny = random_sequence(m,s);\r\nassert(isequal(sum(y),s) \u0026\u0026 abs(mean(y)-m/2)\u003cm*sqrt(m/s)+1/2 \u0026\u0026 isequal(y,round(y)) \u0026\u0026 abs(std(y)-m/sqrt(12))*sqrt(s)/m\u003c2.5 \u0026\u0026 nocheat)\r\n\r\n%%\r\nnocheat = isempty(regexp(evalc('type random_sequence'),'([^f]eval|regexprep|inline|str2func)'));\r\nm = 2;\r\ns = 1000;\r\ny = random_sequence(m,s);\r\nassert(isequal(sum(y),s) \u0026\u0026 abs(mean(y)-m/2)\u003cm*sqrt(m/s)+1/2 \u0026\u0026 isequal(y,round(y)) \u0026\u0026 abs(std(y)-m/sqrt(12))*sqrt(s)/m\u003c2.5 \u0026\u0026 nocheat)\r\n\r\n%%\r\nnocheat = isempty(regexp(evalc('type random_sequence'),'([^f]eval|regexprep|inline|str2func)'));\r\nm = 1000;\r\ns = 100000;\r\ny = random_sequence(m,s);\r\nassert(isequal(sum(y),s) \u0026\u0026 abs(mean(y)-m/2)\u003cm*sqrt(m/s)+1/2 \u0026\u0026 isequal(y,round(y)) \u0026\u0026 abs(std(y)-m/sqrt(12))*sqrt(s^1/m^3)\u003c1 \u0026\u0026 nocheat)","published":true,"deleted":false,"likes_count":4,"comments_count":3,"created_by":6556,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":103,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2012-12-04T09:51:50.000Z","updated_at":"2026-10-27T14:58:43.000Z","published_at":"2012-12-04T09:51:50.000Z","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\u003eYour task today is to write a function that returns a vector of integer numbers, between, and including, 1 and m, of which the sum is equal to s. Therefore, the length of the vector is determined by m and s.\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 example, to create a sequence of characters 'A'-'Z', with 'character-sum' (A=1, B=2, Z=26) of 25420, use\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[char(random_sequence(26,25420)+'A'-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\u003eThis task is related 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=\\\"http://www.mathworks.nl/matlabcentral/cody/problems/1090\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eproblem 1090\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\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\u003eThe \\\"Test Suite\\\" will check the sum, the mean, and the distribution.\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\u003eNote: Solutions wrapped in eval(c), inline, str2func, regexprep (dynamic regular expressions), etc, are not appreciated.\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\"}]}"},{"id":44630,"title":"Guess the number I'm thinking of (Part 1)","description":"In this game you are competing against two other people to guess the number that I'm thinking of.\r\nI randomly choose an integer between one and ten (inclusive). I don't provide any clues about the number.\r\nYour first opponent tries to guess the number. They guess randomly.\r\nYour second opponent tries to guess the number. They also guess randomly.\r\nYou try to guess the number. But you guess strategically.\r\nThe winner is the person who guesses my chosen number, or the person who guesses closest to my chosen number. This represents a \"win\".\r\nIf two contestants are equally close, they may share the win, with such a result being declared a \"draw\". (It is a loss for the remaining contestant.) A draw is worth half as much as a win.\r\nEach person hears the guesses stated by any preceding competitors, so you will be aware of the two prior guesses (provided to you as the vector guessesOfOpponents). Moreover, each guess must be unique.\r\nIf everyone guessed randomly, each person should have an equal chance of winning.\r\nIt might seem that you're at a disadvantage, having the last opportunity to guess. But actually you have the advantage of extra knowledge.\r\nBy guessing strategically, you should be able to achieve a success rate of 45% or more, in which\r\nsuccess rate = (wins + draws/2) / games\r\n\r\nRELATED PROBLEM:  \r\nProblem 52323. Guess the number I'm thinking of (Part 2)","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 484px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 242px; transform-origin: 407px 242px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIn this game you are competing against two other people to guess the number that I'm thinking of.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003col style=\"block-size: 160px; font-family: Helvetica, Arial, sans-serif; list-style-type: decimal; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 80px; transform-origin: 391px 80px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eI randomly choose an\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003einteger\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e between\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eone\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eten\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e (inclusive). I don't provide any clues about the number.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYour first opponent tries to guess the number. They guess randomly.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYour second opponent tries to guess the number. They also guess randomly.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYou try to guess the number. But you guess\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003estrategically\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 40px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 20px; text-align: left; transform-origin: 363px 20px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eThe winner is the person who guesses my chosen number, or the person who guesses closest to my chosen number. This represents a \"win\".\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 40px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 20px; text-align: left; transform-origin: 363px 20px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIf two contestants are equally close, they may share the win, with such a result being declared a \"draw\". (It is a loss for the remaining contestant.) A draw is worth half as much as a win.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eEach person hears the guesses stated by any preceding competitors, so you will be aware of the two prior guesses (provided to you as the vector\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eguessesOfOpponents\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e). Moreover, each guess must be unique.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIf everyone guessed randomly, each person should have an equal chance of winning.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIt might seem that you're at a disadvantage, having the last opportunity to guess. But actually you have the advantage of extra knowledge.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eBy guessing strategically, you should be able to\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eachieve a success rate of 45% or more\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, in which\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003esuccess rate = (wins + draws/2) / games\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eRELATED PROBLEM:  \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 20px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 10px; transform-origin: 391px 10px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003ca target='_blank' href = \"https://www.mathworks.com/matlabcentral/cody/problems/52323\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eProblem 52323. Guess the number I'm thinking of (Part 2)\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = myGuess(guessesOfOpponents)\r\n    y = 42;\r\nend","test_suite":"%% Anti-hacking test\r\nassessFunctionAbsence({'rng', 'RandStream'}, 'FileName','myGuess.m')\r\n\r\n%% Ensure unique guesses of integers, which are in-range\r\nfor j = 1 : 1000\r\n    numberToBeGuessed = randi(10);\r\n    gOO = randperm(10, 2);\r\n    mG = myGuess(gOO);\r\n    assert( mG \u003e= 1  \u0026  mG \u003c= 10 , 'Out of requested range.' )\r\n    u = unique( floor([gOO mG]) );\r\n    assert( length(u) == 3 , 'Your guess must not have been already chosen.' )\r\nend;\r\n\r\n%% maxIts: 20000 = Too small; 30000 = Not quite big enough; 35000 = Just big enough (usually!); 50000 = Big enough (usually!); 100000 = Big enough, plus safety margin \u0026 efficiency incentive (but waste of resources)\r\nmaxIts = 100000;    \r\ntic\r\nfor j = 1 : 10\r\n    WDL = [0 0 0];\r\n    for itn = 1 : maxIts\r\n        numberToBeGuessed = randi(10);\r\n        gOO = randperm(10, 2);\r\n        diffs = abs( [gOO myGuess(gOO)] - numberToBeGuessed );\r\n        winningContestant = find( min(diffs)==diffs );\r\n        if any( winningContestant == 3 ),\r\n            if length(winningContestant) == 1,\r\n                % Win\r\n                WDL(1) = WDL(1) + 1;  \r\n            else\r\n                % Draw\r\n                WDL(2) = WDL(2) + 1;  \r\n            end;\r\n        else\r\n            % Loss\r\n            WDL(3) = WDL(3) + 1;  \r\n        end;\r\n    end;\r\n    successRate = (WDL(1) + WDL(2)/2) / maxIts\r\n    assert( successRate \u003e= 0.45 )\r\nend;\r\ntoc","published":true,"deleted":false,"likes_count":13,"comments_count":6,"created_by":64439,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":84,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2018-05-04T14:00:17.000Z","updated_at":"2026-10-27T15:10:42.000Z","published_at":"2018-05-05T12:29:22.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn this game you are competing against two other people to guess the number that I'm thinking of.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eI randomly choose an\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003einteger\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e between\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eone\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eten\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (inclusive). I don't provide any clues about the number.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour first opponent tries to guess the number. They guess randomly.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour second opponent tries to guess the number. They also guess randomly.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou try to guess the number. But you guess\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003estrategically\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe winner is the person who guesses my chosen number, or the person who guesses closest to my chosen number. This represents a \\\"win\\\".\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf two contestants are equally close, they may share the win, with such a result being declared a \\\"draw\\\". (It is a loss for the remaining contestant.) A draw is worth half as much as a win.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEach person hears the guesses stated by any preceding competitors, so you will be aware of the two prior guesses (provided to you as the vector\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eguessesOfOpponents\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e). Moreover, each guess must be unique.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf everyone guessed randomly, each person should have an equal chance of winning.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIt might seem that you're at a disadvantage, having the last opportunity to guess. But actually you have the advantage of extra knowledge.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eBy guessing strategically, you should be able to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eachieve a success rate of 45% or more\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, in which\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003esuccess rate = (wins + draws/2) / games\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eRELATED PROBLEM:  \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"https://www.mathworks.com/matlabcentral/cody/problems/52323\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eProblem 52323. Guess the number I'm thinking of (Part 2)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":42340,"title":"Fibonacci Decomposition","description":"Every positive integer has a unique decomposition into nonconsecutive Fibonacci numbers f1+f2+ ... Given a positive integer n, return these numbers. \r\n\r\nReturn the vector f = [f1, f2, ...] sorted from smallest to largest. sum(f) = n.\r\n\r\nExamples\r\n\r\n n = 3\r\n f = 3\r\n\r\n n = 32\r\n f = [3 8 21]\r\n\r\nReference: \u003chttp://www.johndcook.com/blog/2015/05/17/fibonacci-number-system/\u003e","description_html":"\u003cp\u003eEvery positive integer has a unique decomposition into nonconsecutive Fibonacci numbers f1+f2+ ... Given a positive integer n, return these numbers.\u003c/p\u003e\u003cp\u003eReturn the vector f = [f1, f2, ...] sorted from smallest to largest. sum(f) = n.\u003c/p\u003e\u003cp\u003eExamples\u003c/p\u003e\u003cpre\u003e n = 3\r\n f = 3\u003c/pre\u003e\u003cpre\u003e n = 32\r\n f = [3 8 21]\u003c/pre\u003e\u003cp\u003eReference: \u003ca href = \"http://www.johndcook.com/blog/2015/05/17/fibonacci-number-system/\"\u003ehttp://www.johndcook.com/blog/2015/05/17/fibonacci-number-system/\u003c/a\u003e\u003c/p\u003e","function_template":"function f = fib_decomposition(n)\r\n  f = 1;\r\nend","test_suite":"%%\r\nn = 1;\r\nf_correct = 1;\r\nassert(isequal(fib_decomposition(n),f_correct))\r\n\r\n%%\r\nn = 4;\r\nf_correct = [1 3];\r\nassert(isequal(fib_decomposition(n),f_correct))\r\n\r\n%%\r\nn = 6;\r\nf_correct = [1 5];\r\nassert(isequal(fib_decomposition(n),f_correct))\r\n\r\n%%\r\nn = 2010;\r\nf_correct = [2 34 377 1597];\r\nassert(isequal(fib_decomposition(n),f_correct))\r\n\r\n%%\r\nn = 35601;\r\nf_correct = [1 34 144 6765 28657];\r\nassert(isequal(fib_decomposition(n),f_correct))\r\n\r\n%%\r\nn = 9227467;\r\nf_correct = [2 9227465];\r\nassert(isequal(fib_decomposition(n),f_correct))\r\n\r\n%%\r\nn = 2015;\r\nf_correct = [2 5 34 377 1597];\r\nassert(isequal(fib_decomposition(n),f_correct))\r\n\r\n\r\n","published":true,"deleted":false,"likes_count":16,"comments_count":2,"created_by":7,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":957,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-05-28T16:03:19.000Z","updated_at":"2026-10-27T15:50:49.000Z","published_at":"2015-05-28T16:04:31.000Z","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\u003eEvery positive integer has a unique decomposition into nonconsecutive Fibonacci numbers f1+f2+ ... Given a positive integer n, return these numbers.\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\u003eReturn the vector f = [f1, f2, ...] sorted from smallest to largest. sum(f) = n.\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\u003eExamples\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[ n = 3\\n f = 3\\n\\n n = 32\\n f = [3 8 21]]]\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\u003eReference:\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=\\\"http://www.johndcook.com/blog/2015/05/17/fibonacci-number-system/\\\"\u003e\u003cw:r\u003e\u003cw:t\u003ehttp://www.johndcook.com/blog/2015/05/17/fibonacci-number-system/\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\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\"}]}"},{"id":621,"title":"Cryptomath: Addition","description":"    W A I T\r\n  +   A L L\r\n  ---------\r\n  G I F T S\r\n\r\nequals:\r\n\r\n    9 6 0 8\r\n  +   6 7 7\r\n  ---------\r\n  1 0 2 8 5\r\n\r\nGiven strings a,b,c find where a + b = c;  No left hand zeros.  All solutions are believed to be unique.\r\n\r\nBeware, the test machine might time out your entry!\r\n\r\nIf you want some easier problems that build up to this one, \r\n\r\n* \u003chttp://www.mathworks.com/matlabcentral/cody/problems/641-make-a-random-non-repeating-vector random permutations of integers\u003e\r\n* \u003chttp://www.mathworks.com/matlabcentral/cody/problems/640-do-a-binary-comparison-on-a-vector binary comparisons\u003e\r\n* \u003chttp://www.mathworks.com/matlabcentral/cody/problems/639-string-substitution-sub-problem-to-cryptomath string substitution\u003e \r\n* \u003chttp://www.mathworks.com/matlabcentral/cody/problems/642-convert-a-vector-into-a-number convert list of numbers to a scalar\u003e\r\n\r\nWhy are the above building blocks to solving this problem?  Well, let's think about the \u003chttp://c2.com/xp/DoTheSimplestThingThatCouldPossiblyWork.html simplest thing that could possibly work.\u003e\r\n\r\nIf we \r\n\r\n* Made random mapping of the ten or less characters to the ten digits\r\n* Converted the characters to a vector of numbers\r\n* Converted the vector of numbers to a scalar\r\n* Checked the scalars in the summation\r\n* Tried again if it did not work\r\n\r\nEventually, we would find the correct answer.  Worst case scenario, we have a one in 10! (1/3,600,000) chance of stumbling upon the answer.  For the eight character case, it is 8! (1/40,320).  I like those odds enough that it is worth trying.\r\n\r\nA \u003chttp://www.mathworks.com/matlabcentral/cody/problems/648-cumulative-probability-of-finding-an-unlikely-combination supplemental problem\u003e finds out which technique, methodical or random is better.","description_html":"\u003cpre\u003e    W A I T\r\n  +   A L L\r\n  ---------\r\n  G I F T S\u003c/pre\u003e\u003cp\u003eequals:\u003c/p\u003e\u003cpre\u003e    9 6 0 8\r\n  +   6 7 7\r\n  ---------\r\n  1 0 2 8 5\u003c/pre\u003e\u003cp\u003eGiven strings a,b,c find where a + b = c;  No left hand zeros.  All solutions are believed to be unique.\u003c/p\u003e\u003cp\u003eBeware, the test machine might time out your entry!\u003c/p\u003e\u003cp\u003eIf you want some easier problems that build up to this one,\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"http://www.mathworks.com/matlabcentral/cody/problems/641-make-a-random-non-repeating-vector\"\u003erandom permutations of integers\u003c/a\u003e\u003c/li\u003e\u003cli\u003e\u003ca href=\"http://www.mathworks.com/matlabcentral/cody/problems/640-do-a-binary-comparison-on-a-vector\"\u003ebinary comparisons\u003c/a\u003e\u003c/li\u003e\u003cli\u003e\u003ca href=\"http://www.mathworks.com/matlabcentral/cody/problems/639-string-substitution-sub-problem-to-cryptomath\"\u003estring substitution\u003c/a\u003e\u003c/li\u003e\u003cli\u003e\u003ca href=\"http://www.mathworks.com/matlabcentral/cody/problems/642-convert-a-vector-into-a-number\"\u003econvert list of numbers to a scalar\u003c/a\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eWhy are the above building blocks to solving this problem?  Well, let's think about the \u003ca href=\"http://c2.com/xp/DoTheSimplestThingThatCouldPossiblyWork.html\"\u003esimplest thing that could possibly work.\u003c/a\u003e\u003c/p\u003e\u003cp\u003eIf we\u003c/p\u003e\u003cul\u003e\u003cli\u003eMade random mapping of the ten or less characters to the ten digits\u003c/li\u003e\u003cli\u003eConverted the characters to a vector of numbers\u003c/li\u003e\u003cli\u003eConverted the vector of numbers to a scalar\u003c/li\u003e\u003cli\u003eChecked the scalars in the summation\u003c/li\u003e\u003cli\u003eTried again if it did not work\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eEventually, we would find the correct answer.  Worst case scenario, we have a one in 10! (1/3,600,000) chance of stumbling upon the answer.  For the eight character case, it is 8! (1/40,320).  I like those odds enough that it is worth trying.\u003c/p\u003e\u003cp\u003eA \u003ca href=\"http://www.mathworks.com/matlabcentral/cody/problems/648-cumulative-probability-of-finding-an-unlikely-combination\"\u003esupplemental problem\u003c/a\u003e finds out which technique, methodical or random is better.\u003c/p\u003e","function_template":"function out = cryptoAdd(aStr,bStr,cStr)\r\n  aNum = 1;\r\n  bNum = 1;\r\n  cNum = 2;\r\n\r\nout = [aNum, bNum, cNum];\r\nend","test_suite":"%%\r\naStr = 'dan';\r\nbStr = 'nan';\r\ncStr = 'nora';\r\n\r\nout = [921 121 1042];\r\n\r\nassert(isequal(cryptoAdd(aStr,bStr,cStr),out))\r\n\r\n%%\r\naStr = 'wait';\r\nbStr = 'all';\r\ncStr = 'gifts';\r\n\r\nout = [9608 677 10285];\r\n\r\nassert(isequal(cryptoAdd(aStr,bStr,cStr),out))\r\n%%\r\naStr = 'memo';\r\nbStr = 'from';\r\ncStr = 'homer';\r\n\r\nout = [8485 7358 15843];\r\n\r\nassert(isequal(cryptoAdd(aStr,bStr,cStr),out))\r\n%%\r\n%aStr = 'coca';\r\n%bStr = 'cola';\r\n%cStr = 'oasis';\r\n\r\n%out = [8186 8106 16292];\r\n\r\n%assert(isequal(cryptoAdd(aStr,bStr,cStr),out))","published":true,"deleted":false,"likes_count":2,"comments_count":9,"created_by":240,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":54,"test_suite_updated_at":"2012-04-25T19:43:33.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-04-25T16:00:11.000Z","updated_at":"2026-10-28T11:45:11.000Z","published_at":"2012-04-25T18:37:25.000Z","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=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[    W A I T\\n  +   A L L\\n  ---------\\n  G I F T S]]\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\u003eequals:\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[    9 6 0 8\\n  +   6 7 7\\n  ---------\\n  1 0 2 8 5]]\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\u003eGiven strings a,b,c find where a + b = c; No left hand zeros. All solutions are believed to be unique.\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\u003eBeware, the test machine might time out your entry!\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\u003eIf you want some easier problems that build up to this one,\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"http://www.mathworks.com/matlabcentral/cody/problems/641-make-a-random-non-repeating-vector\\\"\u003e\u003cw:r\u003e\u003cw:t\u003erandom permutations of integers\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"http://www.mathworks.com/matlabcentral/cody/problems/640-do-a-binary-comparison-on-a-vector\\\"\u003e\u003cw:r\u003e\u003cw:t\u003ebinary comparisons\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"http://www.mathworks.com/matlabcentral/cody/problems/639-string-substitution-sub-problem-to-cryptomath\\\"\u003e\u003cw:r\u003e\u003cw:t\u003estring substitution\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:hyperlink w:docLocation=\\\"http://www.mathworks.com/matlabcentral/cody/problems/642-convert-a-vector-into-a-number\\\"\u003e\u003cw:r\u003e\u003cw:t\u003econvert list of numbers to a scalar\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\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\u003eWhy are the above building blocks to solving this problem? Well, let's think about the\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=\\\"http://c2.com/xp/DoTheSimplestThingThatCouldPossiblyWork.html\\\"\u003e\u003cw:r\u003e\u003cw:t\u003esimplest thing that could possibly work.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\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\u003eIf we\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eMade random mapping of the ten or less characters to the ten digits\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eConverted the characters to a vector of numbers\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eConverted the vector of numbers to a scalar\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eChecked the scalars in the summation\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eTried again if it did not work\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\u003eEventually, we would find the correct answer. Worst case scenario, we have a one in 10! (1/3,600,000) chance of stumbling upon the answer. For the eight character case, it is 8! (1/40,320). I like those odds enough that it is worth trying.\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\u003eA\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=\\\"http://www.mathworks.com/matlabcentral/cody/problems/648-cumulative-probability-of-finding-an-unlikely-combination\\\"\u003e\u003cw:r\u003e\u003cw:t\u003esupplemental problem\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e finds out which technique, methodical or random is better.\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\"}]}"},{"id":1873,"title":"Break it up!  Break it up!","description":"You have N pennies.  Write a Matlab script that will reveal how many different ways you can break up those pennies.  For example, with 5 pennies, there are seven different ways you can divide them:\r\n\r\n* (1,1,1,1,1)\r\n* (2,1,1,1)\r\n* (2,2,1)\r\n* (3,2)\r\n* (3,1,1)\r\n* (4,1)\r\n* (5)\r\n\r\nThe order of the coins does not matter, so (2,2,1) is considered the same combination as (2,1,2).  You can assume that N will always be a positive integer.","description_html":"\u003cp\u003eYou have N pennies.  Write a Matlab script that will reveal how many different ways you can break up those pennies.  For example, with 5 pennies, there are seven different ways you can divide them:\u003c/p\u003e\u003cul\u003e\u003cli\u003e(1,1,1,1,1)\u003c/li\u003e\u003cli\u003e(2,1,1,1)\u003c/li\u003e\u003cli\u003e(2,2,1)\u003c/li\u003e\u003cli\u003e(3,2)\u003c/li\u003e\u003cli\u003e(3,1,1)\u003c/li\u003e\u003cli\u003e(4,1)\u003c/li\u003e\u003cli\u003e(5)\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eThe order of the coins does not matter, so (2,2,1) is considered the same combination as (2,1,2).  You can assume that N will always be a positive integer.\u003c/p\u003e","function_template":"function y = partitions(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 1;y_correct = 1;assert(isequal(partitions(x),y_correct))\r\n%%\r\nx = 5;y_correct = 7;assert(isequal(partitions(x),y_correct))\r\n%%\r\nx = 50;y_correct = 204226;assert(isequal(partitions(x),y_correct))\r\n%%\r\nassert(isequal(partitions(partitions(partitions(partitions(5)))),476715857290));\r\n%%\r\nassert(isequal(partitions(partitions(partitions(6))),526823));\r\n%%\r\nassert(isequal(partitions(partitions(12)),10619863));\r\n%%\r\nassert(isequal(partitions(199),3646072432125))\r\n%%\r\nP=arrayfun(@(x) partitions(x),10:10:100);\r\ny_correct=[42 627 5604 37338 204226 966467 4087968 15796476 56634173 190569292];\r\nassert(all(isequal(P,y_correct)))","published":true,"deleted":false,"likes_count":4,"comments_count":4,"created_by":1615,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":96,"test_suite_updated_at":"2016-08-19T11:36:33.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2013-09-13T18:34:19.000Z","updated_at":"2026-10-27T16:42:19.000Z","published_at":"2013-09-13T18:34:19.000Z","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\u003eYou have N pennies. Write a Matlab script that will reveal how many different ways you can break up those pennies. For example, with 5 pennies, there are seven different ways you can divide them:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(1,1,1,1,1)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(2,1,1,1)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(2,2,1)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(3,2)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(3,1,1)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(4,1)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(5)\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\u003eThe order of the coins does not matter, so (2,2,1) is considered the same combination as (2,1,2). You can assume that N will always be a positive integer.\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\"}]}"},{"id":1288,"title":"Balanced Ternary Numbers: Easy as |, |-, |o","description":"This problem concerns the so-called \u003chttp://en.wikipedia.org/wiki/Balanced_ternary balanced ternary\u003e system for representing numbers. It is a Base 3 system in which the digits can be 1, 0, or -1. \r\n\r\nIn balanced ternary, the number 8 would be represented as 9 (or 3^2) minus 1 (or 3^0). Typographically we will use \"|\" for one, \"o\" for zero (that's a lower-case O), and \"-\" for negative one. So if the decimal input d is the number 8, the balanced ternary output is the string \"|o-\". Thus\r\n \r\n dec 8  =\u003e bt \"|o-\"\r\n\r\nHere are some more examples.\r\n\r\n dec 3  =\u003e bt \"|o\"\r\n dec 15 =\u003e bt \"|--o\"\r\n dec 52 =\u003e bt \"|-o-|\"\r\n \r\nGiven an integer d, return the string bt. Leading zeros should always be suppressed.","description_html":"\u003cp\u003eThis problem concerns the so-called \u003ca href = \"http://en.wikipedia.org/wiki/Balanced_ternary\"\u003ebalanced ternary\u003c/a\u003e system for representing numbers. It is a Base 3 system in which the digits can be 1, 0, or -1.\u003c/p\u003e\u003cp\u003eIn balanced ternary, the number 8 would be represented as 9 (or 3^2) minus 1 (or 3^0). Typographically we will use \"|\" for one, \"o\" for zero (that's a lower-case O), and \"-\" for negative one. So if the decimal input d is the number 8, the balanced ternary output is the string \"|o-\". Thus\u003c/p\u003e\u003cpre\u003e dec 8  =\u003e bt \"|o-\"\u003c/pre\u003e\u003cp\u003eHere are some more examples.\u003c/p\u003e\u003cpre\u003e dec 3  =\u003e bt \"|o\"\r\n dec 15 =\u003e bt \"|--o\"\r\n dec 52 =\u003e bt \"|-o-|\"\u003c/pre\u003e\u003cp\u003eGiven an integer d, return the string bt. Leading zeros should always be suppressed.\u003c/p\u003e","function_template":"function bt = balanced_ternary(d)\r\n  bt = 'o';\r\nend","test_suite":"%%\r\nd = 3;\r\nbt_correct = '|o';\r\nbt = balanced_ternary(d);\r\nassert(isequal(bt,bt_correct))\r\n\r\n%%\r\nd = 52;\r\nbt_correct = '|-o-|';\r\nbt = balanced_ternary(d);\r\nassert(isequal(bt,bt_correct))\r\n\r\n%%\r\nd = 182;\r\nbt_correct = '|-|-|-';\r\nbt = balanced_ternary(d);\r\nassert(isequal(bt,bt_correct))\r\n\r\n%%\r\nd = 26;\r\nbt_correct = '|oo-';\r\nbt = balanced_ternary(d);\r\nassert(isequal(bt,bt_correct))\r\n\r\n%%\r\nd = -5;\r\nbt_correct = '-||';\r\nbt = balanced_ternary(d);\r\nassert(isequal(bt,bt_correct))\r\n\r\n%%\r\nd = -164;\r\nbt_correct = '-|oo-|';\r\nbt = balanced_ternary(d);\r\nassert(isequal(bt,bt_correct))\r\n\r\n%%\r\nd = 512;\r\nbt_correct = '|-o|oo-';\r\nbt = balanced_ternary(d);\r\nassert(isequal(bt,bt_correct))\r\n\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":1,"created_by":7,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":87,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2013-02-21T23:26:14.000Z","updated_at":"2026-10-27T20:33:47.000Z","published_at":"2013-02-21T23:36:53.000Z","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\u003eThis problem concerns the so-called\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=\\\"http://en.wikipedia.org/wiki/Balanced_ternary\\\"\u003e\u003cw:r\u003e\u003cw:t\u003ebalanced ternary\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e system for representing numbers. It is a Base 3 system in which the digits can be 1, 0, or -1.\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\u003eIn balanced ternary, the number 8 would be represented as 9 (or 3^2) minus 1 (or 3^0). Typographically we will use \\\"|\\\" for one, \\\"o\\\" for zero (that's a lower-case O), and \\\"-\\\" for negative one. So if the decimal input d is the number 8, the balanced ternary output is the string \\\"|o-\\\". Thus\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[ dec 8  =\u003e bt \\\"|o-\\\"]]\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\u003eHere are some more examples.\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[ dec 3  =\u003e bt \\\"|o\\\"\\n dec 15 =\u003e bt \\\"|--o\\\"\\n dec 52 =\u003e bt \\\"|-o-|\\\"]]\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\u003eGiven an integer d, return the string bt. Leading zeros should always be suppressed.\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\"}]}"},{"id":2797,"title":"modular arithmetic","description":"Given three integers a,b and c, find the remainder when a^b is divided by c. Here, a^b will be well beyond the largest 64 bit integer.\r\n\r\nExample:\r\n\r\n  a = 1000\r\n  b = 1000\r\n  c = 3\r\n  \r\n  Answer = 1","description_html":"\u003cp\u003eGiven three integers a,b and c, find the remainder when a^b is divided by c. Here, a^b will be well beyond the largest 64 bit integer.\u003c/p\u003e\u003cp\u003eExample:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003ea = 1000\r\nb = 1000\r\nc = 3\r\n\u003c/pre\u003e\u003cpre class=\"language-matlab\"\u003eAnswer = 1\r\n\u003c/pre\u003e","function_template":"function y = mod_exp(a,b,c)\r\n\r\n\r\n\r\nend","test_suite":"%%\r\nassert(isequal(mod_exp(1000,1000,3),1))\r\n\r\n%%\r\nassert(isequal(mod_exp(1444,2113,104),40))\r\n\r\n%%\r\nassert(isequal(mod_exp(1043,313,23),16))\r\n\r\n%%\r\nassert(isequal(mod_exp(1111,1111,111),1))\r\n\r\n%%\r\nassert(isequal(mod_exp(1531,9898,123),73))\r\n\r\n%%\r\nassert(isequal(mod_exp(1323,7878,12),9))\r\n\r\n%%\r\nassert(isequal(mod_exp(4545,1234,786),429))\r\n\r\n%%\r\na = [151:160];\r\nb = [311:320];\r\nc = [41:50];\r\nr = [35 22 38 0 35 16 8 16 40 0];\r\nid = randperm(10);\r\na = a(id);\r\nb = b(id);\r\nc = c(id);\r\nr = r(id);\r\nfor i = 1:10\r\n    assert(isequal(mod_exp(a(i),b(i),c(i)),r(i)))\r\nend","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":17203,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":101,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2014-12-22T08:34:31.000Z","updated_at":"2026-10-27T16:54:10.000Z","published_at":"2014-12-22T08:34:31.000Z","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\u003eGiven three integers a,b and c, find the remainder when a^b is divided by c. Here, a^b will be well beyond the largest 64 bit integer.\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\u003eExample:\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[a = 1000\\nb = 1000\\nc = 3\\n\\nAnswer = 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\"}]}"},{"id":2240,"title":"Sum the 'edge' values of a matrix","description":"Sum the 'edge' values of an input matrix (the values along the perimeter).\r\n\r\nExample\r\n\r\n [1 2 3\r\n  4 5 6\r\n  7 8 9]\r\n\r\nOutput = 1 + 2 + 3 + 6 + 9 + 8 + 7 + 4 = 40;\r\n\r\nAssumption: Input matrix equal or bigger than 3x3.","description_html":"\u003cp\u003eSum the 'edge' values of an input matrix (the values along the perimeter).\u003c/p\u003e\u003cp\u003eExample\u003c/p\u003e\u003cpre\u003e [1 2 3\r\n  4 5 6\r\n  7 8 9]\u003c/pre\u003e\u003cp\u003eOutput = 1 + 2 + 3 + 6 + 9 + 8 + 7 + 4 = 40;\u003c/p\u003e\u003cp\u003eAssumption: Input matrix equal or bigger than 3x3.\u003c/p\u003e","function_template":"function y = AddMatrixLim(x)\r\n %add code\r\nend","test_suite":"%%\r\nx = [1 2 3; 4 5 6;7 8 9];\r\ny_correct = 40;\r\nassert(isequal(AddMatrixLim(x),y_correct))\r\n\r\n%%\r\nx= [1 5 6 7; 4 9 4 7; 9 4 2 1; 0 1 2 8]\r\ny_correct = 51;\r\nassert(isequal(AddMatrixLim(x),y_correct))","published":true,"deleted":false,"likes_count":8,"comments_count":0,"created_by":24008,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":417,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2014-03-09T13:39:17.000Z","updated_at":"2026-10-27T16:56:14.000Z","published_at":"2014-03-09T13:39:17.000Z","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\u003eSum the 'edge' values of an input matrix (the values along the perimeter).\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\u003eExample\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\\n  4 5 6\\n  7 8 9]]]\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\u003eOutput = 1 + 2 + 3 + 6 + 9 + 8 + 7 + 4 = 40;\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\u003eAssumption: Input matrix equal or bigger than 3x3.\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\"}]}"},{"id":43283,"title":"Subtract integers and add doubles","description":"Create a function that subtracts a from b if a and b are integers and adds them if they are floats.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: normal; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"display: block; min-width: 0px; padding-top: 0px; transform-origin: 332px 10.5px; vertical-align: baseline; perspective-origin: 332px 10.5px; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; transform-origin: 309px 10.5px; white-space: pre-wrap; perspective-origin: 309px 10.5px; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; transform-origin: 0px 0px; perspective-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eCreate a function that subtracts b from a if a and b are integers and adds them if they are floats.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function c = intOrfloat(a, b)\r\n  if isinteger(a)\r\n      a = a + b;\r\n  else\r\n      a = a - b;\r\n  end\r\nend","test_suite":"%%\r\na = int8(1);\r\nb = int8(2);\r\nc = intOrfloat(a, b)\r\nassert(isequal(c,-1))\r\n\r\n%%\r\na = 1;\r\nb = 2;\r\nc = intOrfloat(a, b)\r\nassert(isequal(c,3))\r\n\r\n%%\r\na = uint8(1);\r\nb = uint8(2);\r\nc = intOrfloat(a, b)\r\nassert(isequal(c,0))\r\n\r\n%%\r\na = int16(100);\r\nb = int16(200);\r\nc = intOrfloat(a, b)\r\nassert(isequal(c,-100))\r\n\r\n%%\r\na = single(100);\r\nb = single(200);\r\nc = intOrfloat(a, b)\r\nassert(isequal(c,300))","published":true,"deleted":false,"likes_count":4,"comments_count":4,"created_by":57323,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":138,"test_suite_updated_at":"2016-10-28T02:19:03.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2016-10-09T15:33:19.000Z","updated_at":"2026-10-28T11:38:22.000Z","published_at":"2016-10-09T15:33:19.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCreate a function that subtracts b from a if a and b are integers and adds them if they are floats.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":2157,"title":"Multiplication","description":"Multiply two numbers in a different manner.\r\nThe numbers are given to you as vectors x and y.\r\n\r\nExample\r\n\r\n x = [ 1 2 0 1 ]\r\n\r\n y = [ 8 5 1 ]\r\n\r\n      1  2  0  1\r\n X       8  5  1\r\n-------------------\r\n      1  2  0  1\r\n   5 10  0  5\r\n8 16  0  8\r\n----------------\r\n8 21 11 10  5  1 \r\n\r\n","description_html":"\u003cp\u003eMultiply two numbers in a different manner.\r\nThe numbers are given to you as vectors x and y.\u003c/p\u003e\u003cp\u003eExample\u003c/p\u003e\u003cpre\u003e x = [ 1 2 0 1 ]\u003c/pre\u003e\u003cpre\u003e y = [ 8 5 1 ]\u003c/pre\u003e\u003cpre\u003e      1  2  0  1\r\n X       8  5  1\r\n-------------------\r\n      1  2  0  1\r\n   5 10  0  5\r\n8 16  0  8\r\n----------------\r\n8 21 11 10  5  1 \u003c/pre\u003e","function_template":"function result= muldif(x,y)\r\n  result = (x*y);\r\nend","test_suite":"%%\r\nx=[1 2];\r\ny=1;\r\ny_correct=[1 2];\r\nassert(isequal(muldif(x,y),y_correct));\r\n%%\r\nx=1;\r\ny=1;\r\ny_correct=1;\r\nassert(isequal(muldif(x,y),y_correct));\r\n%%\r\nx=[1 2 0 1];\r\ny=[8 5 1];\r\ny_correct = [8 21 11 10  5  1];\r\nassert(isequal(muldif(x,y),y_correct))\r\n%%\r\nx=[1 2 3 4 4 1 2 1 1 1];\r\ny=[1 2 3 4 5 6 9 10];\r\n y_correct=[1     4    10    20    34    49    68    90   104   109   101    73    43    40    25    19    10];\r\nassert(isequal(muldif(x,y),y_correct));\r\n%%\r\nx=[1:10 0 1];\r\ny=[8 5:1:25 1];\r\ny_correct = [8\t21\t40\t66\t100\t143\t196\t260\t336\t425\t440\t503\t555\t611\t667\t723\t779\t835\t891\t947\t1003\t1059\t1090\t1094\t1070\t1017\t934\t820\t674\t495\t282\t34\t25\t1\r\n];\r\nassert(isequal(muldif(x,y),y_correct))","published":true,"deleted":false,"likes_count":7,"comments_count":3,"created_by":22216,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":116,"test_suite_updated_at":"2014-02-06T11:37:04.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2014-02-06T09:07:12.000Z","updated_at":"2026-10-27T17:01:23.000Z","published_at":"2014-02-06T09:07:12.000Z","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\u003eMultiply two numbers in a different manner. The numbers are given to you as vectors x and y.\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\u003eExample\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[ x = [ 1 2 0 1 ]\\n\\n y = [ 8 5 1 ]\\n\\n      1  2  0  1\\n X       8  5  1\\n-------------------\\n      1  2  0  1\\n   5 10  0  5\\n8 16  0  8\\n----------------\\n8 21 11 10  5  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\"}]}"},{"id":2161,"title":"Let's get back to school, and create multiplication tables","description":"For a given range, create multiplication tables. (start is always \u003c endno)\r\n\r\nExample\r\n\r\n start = 17\r\n endno = 19\r\n\r\nThen, \r\n\r\n table = \r\n  [ 17    18    19\r\n    34    36    38\r\n    51    54    57\r\n    68    72    76\r\n    85    90    95\r\n   102   108   114\r\n   119   126   133\r\n   136   144   152\r\n   153   162   171\r\n   170   180   190 ]\r\n","description_html":"\u003cp\u003eFor a given range, create multiplication tables. (start is always \u0026lt; endno)\u003c/p\u003e\u003cp\u003eExample\u003c/p\u003e\u003cpre\u003e start = 17\r\n endno = 19\u003c/pre\u003e\u003cp\u003eThen,\u003c/p\u003e\u003cpre\u003e table = \r\n  [ 17    18    19\r\n    34    36    38\r\n    51    54    57\r\n    68    72    76\r\n    85    90    95\r\n   102   108   114\r\n   119   126   133\r\n   136   144   152\r\n   153   162   171\r\n   170   180   190 ]\u003c/pre\u003e","function_template":"function table= Tables(start, endno)\r\n  table = [start:endno];\r\nend","test_suite":"%%\r\nstart = 1;\r\nendno = 10;\r\ny_correct = [1     2     3     4     5     6     7     8     9    10;\r\n     2     4     6     8    10    12    14    16    18    20;\r\n     3     6     9    12    15    18    21    24    27    30;\r\n     4     8    12    16    20    24    28    32    36    40;\r\n     5    10    15    20    25    30    35    40    45    50;\r\n     6    12    18    24    30    36    42    48    54    60;\r\n     7    14    21    28    35    42    49    56    63    70;\r\n     8    16    24    32    40    48    56    64    72    80;\r\n     9    18    27    36    45    54    63    72    81    90;\r\n    10    20    30    40    50    60    70    80    90   100;];\r\nassert(isequal(Tables(start, endno),y_correct))\r\n\r\n%%\r\nstart = 17;\r\nendno = 19;\r\ny_correct = [17    18    19;\r\n    34    36    38;\r\n    51    54    57;\r\n    68    72    76;\r\n    85    90    95;\r\n   102   108   114;\r\n   119   126   133;\r\n   136   144   152;\r\n   153   162   171;\r\n   170   180   190;];\r\nassert(isequal(Tables(start, endno),y_correct))\r\n\r\n%%\r\nstart = 21;\r\nendno = 22;\r\n\r\ny_correct =[21    22;\r\n    42    44;\r\n    63    66;\r\n    84    88;\r\n   105   110;\r\n   126   132;\r\n   147   154;\r\n   168   176;\r\n   189   198;\r\n   210   220;]\r\nassert(isequal(Tables(start, endno),y_correct))\r\n\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":16381,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":249,"test_suite_updated_at":"2014-02-06T17:58:19.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2014-02-06T17:45:15.000Z","updated_at":"2026-10-28T08:18:00.000Z","published_at":"2014-02-06T17:49:12.000Z","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\u003eFor a given range, create multiplication tables. (start is always \u0026lt; endno)\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\u003eExample\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[ start = 17\\n endno = 19]]\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\u003eThen,\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[ table = \\n  [ 17    18    19\\n    34    36    38\\n    51    54    57\\n    68    72    76\\n    85    90    95\\n   102   108   114\\n   119   126   133\\n   136   144   152\\n   153   162   171\\n   170   180   190 ]]]\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\"}]}"},{"id":110,"title":"Make an N-dimensional Multiplication Table","description":"*INSTRUCTIONS*\r\n\r\nThis is a multi-dimensional variant of the normal multiplication table used to teach elementary students multiplication. In this variant, we are going to produce a table that multiplies the divisors 1 to _n_ (input) agains itself in _d_ dimensions.\r\n\r\n_Note_: Inputting _d_ = 0 should return the number 1 and _d_ = 1 should return a column vector with the elements 1 to _n_.\r\n\r\n\r\n*Example:*\r\n\r\nInput: \r\n\r\n  n = 3;\r\n  d = 3;\r\n\r\nOutput:\r\n\r\n  tt(:,:,1) = [ 1  2  3\r\n                2  4  6\r\n                3  6  9  ];\r\n  tt(:,:,2) = [ 2  4  6\r\n                4  8  12\r\n                6  12 18 ];\r\n  tt(:,:,3) = [ 3  6  9\r\n                6  12 18\r\n                9  18 27 ];","description_html":"\u003cp\u003e\u003cb\u003eINSTRUCTIONS\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThis is a multi-dimensional variant of the normal multiplication table used to teach elementary students multiplication. In this variant, we are going to produce a table that multiplies the divisors 1 to \u003ci\u003en\u003c/i\u003e (input) agains itself in \u003ci\u003ed\u003c/i\u003e dimensions.\u003c/p\u003e\u003cp\u003e\u003ci\u003eNote\u003c/i\u003e: Inputting \u003ci\u003ed\u003c/i\u003e = 0 should return the number 1 and \u003ci\u003ed\u003c/i\u003e = 1 should return a column vector with the elements 1 to \u003ci\u003en\u003c/i\u003e.\u003c/p\u003e\u003cp\u003e\u003cb\u003eExample:\u003c/b\u003e\u003c/p\u003e\u003cp\u003eInput:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003en = 3;\r\nd = 3;\r\n\u003c/pre\u003e\u003cp\u003eOutput:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003ett(:,:,1) = [ 1  2  3\r\n              2  4  6\r\n              3  6  9  ];\r\ntt(:,:,2) = [ 2  4  6\r\n              4  8  12\r\n              6  12 18 ];\r\ntt(:,:,3) = [ 3  6  9\r\n              6  12 18\r\n              9  18 27 ];\r\n\u003c/pre\u003e","function_template":"function tt = ndtimestable(n,d)\r\n  tt = zeros(n*ones(1,d));\r\nend","test_suite":"%%\r\nm = 5;\r\nn = 0;\r\ntt = 1;\r\nassert(isequal(ndtimestable(m,n),tt))\r\n\r\n%%\r\nm = 10;\r\nn = 1;\r\ntt = (1:10)';\r\nassert(isequal(ndtimestable(m,n),tt))\r\n\r\n%%\r\nm = 12;\r\nn = 2;\r\ntt= [    1     2     3     4     5     6     7     8     9    10    11    12\r\n         2     4     6     8    10    12    14    16    18    20    22    24\r\n         3     6     9    12    15    18    21    24    27    30    33    36\r\n         4     8    12    16    20    24    28    32    36    40    44    48\r\n         5    10    15    20    25    30    35    40    45    50    55    60\r\n         6    12    18    24    30    36    42    48    54    60    66    72\r\n         7    14    21    28    35    42    49    56    63    70    77    84\r\n         8    16    24    32    40    48    56    64    72    80    88    96\r\n         9    18    27    36    45    54    63    72    81    90    99   108\r\n        10    20    30    40    50    60    70    80    90   100   110   120\r\n        11    22    33    44    55    66    77    88    99   110   121   132\r\n        12    24    36    48    60    72    84    96   108   120   132   144  ];\r\nassert(isequal(ndtimestable(m,n),tt))\r\n\r\n%%\r\nm = 3;\r\nn = 3;\r\ntt = zeros(m,m,m);\r\ntt(:,:,1) = [ 1  2  3\r\n              2  4  6\r\n              3  6  9  ];\r\ntt(:,:,2) = [ 2  4  6\r\n              4  8  12\r\n              6  12 18 ];\r\ntt(:,:,3) = [ 3  6  9\r\n              6  12 18\r\n              9  18 27 ];\r\nassert(isequal(ndtimestable(m,n),tt))\r\n\r\n%%\r\nm = 2;\r\nn = 4;\r\ntt = zeros(m,m,m,m);\r\ntt(:,:,1,1) = ...\r\n  [  1     2\r\n     2     4  ];\r\ntt(:,:,2,1) = ...\r\n  [  2     4\r\n     4     8  ];\r\ntt(:,:,1,2) = ...\r\n  [  2     4\r\n     4     8  ];\r\ntt(:,:,2,2) = ...\r\n  [  4     8\r\n     8    16  ];\r\nassert(isequal(ndtimestable(m,n),tt))\r\n\r\n%%\r\nm = 2;\r\nn = 7;\r\nassert(numel(ndtimestable(m,n)) == m^n);","published":true,"deleted":false,"likes_count":6,"comments_count":0,"created_by":134,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":143,"test_suite_updated_at":"2012-01-26T15:30:12.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-01-26T15:17:25.000Z","updated_at":"2026-10-28T08:23:24.000Z","published_at":"2012-01-26T15:30:35.000Z","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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eINSTRUCTIONS\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\u003eThis is a multi-dimensional variant of the normal multiplication table used to teach elementary students multiplication. In this variant, we are going to produce a table that multiplies the divisors 1 to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (input) agains itself in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ed\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e dimensions.\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:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNote\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e: Inputting\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ed\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = 0 should return the number 1 and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ed\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = 1 should return a column vector with the elements 1 to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eExample:\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\u003eInput:\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[n = 3;\\nd = 3;]]\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\u003eOutput:\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[tt(:,:,1) = [ 1  2  3\\n              2  4  6\\n              3  6  9  ];\\ntt(:,:,2) = [ 2  4  6\\n              4  8  12\\n              6  12 18 ];\\ntt(:,:,3) = [ 3  6  9\\n              6  12 18\\n              9  18 27 ];]]\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\"}]}"},{"id":2237,"title":"Mmm! Multi-dimensional Matrix Multiplication ","description":"You have got a couple of multi-dimensional matrices, A and B. And want to multiply them. For the first 2 dimensions, an ordinary matrix multiplication applies. And in the other dimensions? Well, they just act as parallel worlds. All 2D matrices are multiplied, for every element in the other dimensions.\r\nYou may assume that the size in the 1st two dimensions allows simple matrix multiplication: A(:,:,1)*B(:,:,1), so size(A(:,:,1),2) == size(B(:,:,1),1), or either A(:,:,1) is a scalar or B(:,:,1) is a scalar.\r\nIn the other dimensions, the sizes of A and B should be eqaal, size(A,n) == size(B,n), for n\u003e2, or either ndims(A)\u003cn or ndims(B)\u003cn, or either size(A,n)==1 or size(B,n)==1, so one of them is a scalar.\r\n\r\nWrite a function |mtimesm| that does this, and ask Mathworks to include it in the |elmat| toolbox of the Next Release.","description_html":"\u003cp\u003eYou have got a couple of multi-dimensional matrices, A and B. And want to multiply them. For the first 2 dimensions, an ordinary matrix multiplication applies. And in the other dimensions? Well, they just act as parallel worlds. All 2D matrices are multiplied, for every element in the other dimensions.\r\nYou may assume that the size in the 1st two dimensions allows simple matrix multiplication: A(:,:,1)*B(:,:,1), so size(A(:,:,1),2) == size(B(:,:,1),1), or either A(:,:,1) is a scalar or B(:,:,1) is a scalar.\r\nIn the other dimensions, the sizes of A and B should be eqaal, size(A,n) == size(B,n), for n\u0026gt;2, or either ndims(A)\u0026lt;n or ndims(B)\u0026lt;n, or either size(A,n)==1 or size(B,n)==1, so one of them is a scalar.\u003c/p\u003e\u003cp\u003eWrite a function \u003ctt\u003emtimesm\u003c/tt\u003e that does this, and ask Mathworks to include it in the \u003ctt\u003eelmat\u003c/tt\u003e toolbox of the Next Release.\u003c/p\u003e","function_template":"function C = mtimesm(A,B)\r\n  C = A*B;\r\nend","test_suite":"%% case 1\r\nA = 1;\r\nB = 2;\r\nC = mtimesm(A,B);\r\nC_correct = 2;\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 2\r\nA = rand(2,3);\r\nB = rand(3,4);\r\nC = mtimesm(A,B);\r\nC_correct = A*B;\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 3\r\nA = rand(2,3);\r\nB = 2;\r\nC = mtimesm(A,B);\r\nC_correct = 2*A;\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 4\r\nA = rand(2,3,2);\r\nB = rand(3,4,2);\r\nC = mtimesm(A,B);\r\nC_correct = cat(3,A(:,:,1)*B(:,:,1),A(:,:,2)*B(:,:,2));\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 5\r\nA = rand(2,3,3);\r\nB = rand(3,4);\r\nC = mtimesm(A,B);\r\nC_correct = cat(3,A(:,:,1)*B,A(:,:,2)*B,A(:,:,3)*B); \r\nassert(isequal(C,C_correct))\r\n\r\n%% case 6\r\nA = rand(4,3,1,2);\r\nB = rand(3,2,2);\r\nC = mtimesm(A,B);\r\nC_correct(:,:,1,1) = A(:,:,1,1)*B(:,:,1);\r\nC_correct(:,:,1,2) = A(:,:,1,2)*B(:,:,1);\r\nC_correct(:,:,2,1) = A(:,:,1,1)*B(:,:,2);\r\nC_correct(:,:,2,2) = A(:,:,1,2)*B(:,:,2);\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 7\r\nA = rand(4,3,1,2);\r\nB = rand(3,2,1,1,2);\r\nC = mtimesm(A,B);\r\nC_correct(:,:,1,1,1) = A(:,:,1,1)*B(:,:,1,1,1);\r\nC_correct(:,:,1,1,2) = A(:,:,1,1)*B(:,:,1,1,2);\r\nC_correct(:,:,1,2,1) = A(:,:,1,2)*B(:,:,1,1,1);\r\nC_correct(:,:,1,2,2) = A(:,:,1,2)*B(:,:,1,1,2);\r\nassert(isequal(C,C_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":5,"created_by":6556,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":41,"test_suite_updated_at":"2014-03-07T06:22:58.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2014-03-06T11:17:42.000Z","updated_at":"2026-10-28T08:25:49.000Z","published_at":"2014-03-06T11:17:42.000Z","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\u003eYou have got a couple of multi-dimensional matrices, A and B. And want to multiply them. For the first 2 dimensions, an ordinary matrix multiplication applies. And in the other dimensions? Well, they just act as parallel worlds. All 2D matrices are multiplied, for every element in the other dimensions. You may assume that the size in the 1st two dimensions allows simple matrix multiplication: A(:,:,1)*B(:,:,1), so size(A(:,:,1),2) == size(B(:,:,1),1), or either A(:,:,1) is a scalar or B(:,:,1) is a scalar. In the other dimensions, the sizes of A and B should be eqaal, size(A,n) == size(B,n), for n\u0026gt;2, or either ndims(A)\u0026lt;n or ndims(B)\u0026lt;n, or either size(A,n)==1 or size(B,n)==1, so one of them is a scalar.\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\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emtimesm\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that does this, and ask Mathworks to include it in the\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eelmat\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e toolbox of the Next Release.\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\"}]}"},{"id":1274,"title":"Accurate Division","description":"Given three integers x, y and d, return x/y (as a string) to d significant digits. Remove leading and trailing zeros.\r\n\r\nExample:\r\n\r\nx = 11; y = 7; d = 10;\r\n\r\nz = adiv(x,y,d)\r\n\r\nz=\r\n\r\n1.571428571 ","description_html":"\u003cp\u003eGiven three integers x, y and d, return x/y (as a string) to d significant digits. Remove leading and trailing zeros.\u003c/p\u003e\u003cp\u003eExample:\u003c/p\u003e\u003cp\u003ex = 11; y = 7; d = 10;\u003c/p\u003e\u003cp\u003ez = adiv(x,y,d)\u003c/p\u003e\u003cp\u003ez=\u003c/p\u003e\u003cp\u003e1.571428571\u003c/p\u003e","function_template":"function y = adiv(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 11;\r\ny = 7;\r\nd = 10;\r\nz_correct = '1.571428571';\r\nassert(isequal(adiv(x,y,d),z_correct))\r\n%%\r\nx = 1120;\r\ny = 23;\r\nd = 60;\r\nz_correct = '48.6956521739130434782608695652173913043478260869565217391304';\r\nassert(isequal(adiv(x,y,d),z_correct))\r\n%%\r\nx = 17;\r\ny = 8234;\r\nd = 75;\r\nz_correct = '0.00206461015302404663589992713140636385717755647316006801068739373330094729172';\r\nassert(isequal(adiv(x,y,d),z_correct))\r\n%%\r\nx = 126;\r\ny = 2400;\r\nd = 10;\r\nz_correct = '0.0525';\r\nassert(isequal(adiv(x,y,d),z_correct))\r\n\r\n","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":3399,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":45,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2013-02-15T15:29:43.000Z","updated_at":"2026-10-28T08:49:45.000Z","published_at":"2013-02-15T15:32:30.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eGiven three integers x, y and d, return x/y (as a string) to d significant digits. Remove leading and trailing zeros.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eExample:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ex = 11; y = 7; d = 10;\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ez = adiv(x,y,d)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ez=\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1.571428571\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\"}]}"},{"id":44065,"title":"Number of even divisors of a given number","description":"Given a Number n, return the number of its even divisors without listing them.\r\n\r\nexample:\r\n\r\nn=14 ; EvenDivisors={2,14} ; y=2\r\n\r\nn=68 ; EvenDivisors={2,34,4,68} ; y=4\r\n\r\nSimilar problems are: \u003chttps://www.mathworks.com/matlabcentral/cody/problems/42791-number-of-divisors-of-a-given-number\u003e \u003chttps://www.mathworks.com/matlabcentral/cody/problems/1025-divisors-of-an-integer\u003e\r\n\r\nn=64 ; EvenDivisors={2,4,8,16,32} ; y=5","description_html":"\u003cp\u003eGiven a Number n, return the number of its even divisors without listing them.\u003c/p\u003e\u003cp\u003eexample:\u003c/p\u003e\u003cp\u003en=14 ; EvenDivisors={2,14} ; y=2\u003c/p\u003e\u003cp\u003en=68 ; EvenDivisors={2,34,4,68} ; y=4\u003c/p\u003e\u003cp\u003eSimilar problems are: \u003ca href = \"https://www.mathworks.com/matlabcentral/cody/problems/42791-number-of-divisors-of-a-given-number\"\u003ehttps://www.mathworks.com/matlabcentral/cody/problems/42791-number-of-divisors-of-a-given-number\u003c/a\u003e \u003ca href = \"https://www.mathworks.com/matlabcentral/cody/problems/1025-divisors-of-an-integer\"\u003ehttps://www.mathworks.com/matlabcentral/cody/problems/1025-divisors-of-an-integer\u003c/a\u003e\u003c/p\u003e\u003cp\u003en=64 ; EvenDivisors={2,4,8,16,32} ; y=5\u003c/p\u003e","function_template":"function y = countEvenDivisors(x)\r\n  y = 0;\r\nend","test_suite":"1\r\n%%\r\nfiletext = fileread('countEvenDivisors.m');\r\nassert(isempty(strfind(filetext, 'sqrt')))\r\nassert(isempty(strfind(filetext, 'for')))\r\n2\t\r\n%%\r\nn= 6880 * 2;\r\ny_correct = 24;\r\nassert(isequal(countEvenDivisors(n),y_correct))\r\n3\t\r\n%%\r\nn= 5050 * 2;\r\ny_correct = 12;\r\nassert(isequal(countEvenDivisors(n),y_correct))\r\n4 \t\r\n%%\r\nn= 76576501;\r\ny_correct = 0;\r\nassert(isequal(countEvenDivisors(n),y_correct))\r\n5\t\r\n%%\r\nn= 74 * 2;\r\ny_correct = 4;\r\nassert(isequal(countEvenDivisors(n),y_correct))\r\n6\t\r\n%%\r\nn=14^8 *2 ;\r\ny_correct = 81;\r\nassert(isequal(countEvenDivisors(n),y_correct))\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":2,"created_by":115733,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":57,"test_suite_updated_at":"2017-02-13T23:29:19.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2017-02-13T23:22:48.000Z","updated_at":"2026-10-28T09:03:27.000Z","published_at":"2017-02-13T23:29:19.000Z","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\u003eGiven a Number n, return the number of its even divisors without listing them.\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\u003eexample:\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\u003en=14 ; EvenDivisors={2,14} ; y=2\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\u003en=68 ; EvenDivisors={2,34,4,68} ; y=4\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\u003eSimilar problems are:\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/42791-number-of-divisors-of-a-given-number\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026lt;https://www.mathworks.com/matlabcentral/cody/problems/42791-number-of-divisors-of-a-given-number\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026gt;\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/1025-divisors-of-an-integer\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026lt;https://www.mathworks.com/matlabcentral/cody/problems/1025-divisors-of-an-integer\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026gt;\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\u003en=64 ; EvenDivisors={2,4,8,16,32} ; y=5\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\"}]}"},{"id":42775,"title":"Raise a polynomial to a power","description":"In Matlab, polynomials are represented by a vector of coefficients.  For example, the polynomial p=a*x^2 + b*x + c is represented by the vector p=[a, b, c].\r\n\r\nIn this problem, you will be given a polynomial p and a power N.  We would like you to return the vector q that represents the polynominal p^N, the Nth power of p.  If p = (x + 1), for instance, you will be returning the coefficients of (x+1)^N.  (N will be a positive integer greater than 0.)","description_html":"\u003cp\u003eIn Matlab, polynomials are represented by a vector of coefficients.  For example, the polynomial p=a*x^2 + b*x + c is represented by the vector p=[a, b, c].\u003c/p\u003e\u003cp\u003eIn this problem, you will be given a polynomial p and a power N.  We would like you to return the vector q that represents the polynominal p^N, the Nth power of p.  If p = (x + 1), for instance, you will be returning the coefficients of (x+1)^N.  (N will be a positive integer greater than 0.)\u003c/p\u003e","function_template":"function q = polypow(p,N)\r\n  q = p^N;   \r\nend","test_suite":"%%\r\np=[2];\r\nN=8;\r\ny_correct=256;\r\nassert(isequal(polypow(p,N),y_correct))\r\n\r\n%%\r\np=[1 1];\r\nN=1;\r\ny_correct=[1 1];\r\nassert(isequal(polypow(p,N),y_correct))\r\n\r\n%%\r\np=[1 1];\r\nN=5;\r\ny_correct=[1 5 10 10 5 1];\r\nassert(isequal(polypow(p,N),y_correct))\r\n\r\n%%\r\np=1:5;\r\nN=3;\r\ny_correct=[1 6 21 56 126 234 369 504 594 574 465 300 125];\r\nassert(isequal(polypow(p,N),y_correct))\r\n\r\n%%\r\np=5:-1:1;\r\nN=3;\r\ny_correct=[125 300 465 574 594 504 369 234 126 56 21 6 1];\r\nassert(isequal(polypow(p,N),y_correct))\r\n\r\n%%\r\np=5:-1:1;\r\nN=1;\r\ny_correct=[5 4 3 2 1];\r\nassert(isequal(polypow(p,N),y_correct))\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":2,"created_by":8580,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":100,"test_suite_updated_at":"2016-03-16T17:46:50.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2016-03-16T17:30:45.000Z","updated_at":"2026-10-28T09:25:58.000Z","published_at":"2016-03-16T17:44:17.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eIn Matlab, polynomials are represented by a vector of coefficients. For example, the polynomial p=a*x^2 + b*x + c is represented by the vector p=[a, b, c].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn this problem, you will be given a polynomial p and a power N. We would like you to return the vector q that represents the polynominal p^N, the Nth power of p. If p = (x + 1), for instance, you will be returning the coefficients of (x+1)^N. (N will be a positive integer greater than 0.)\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\"}]}"},{"id":2281,"title":"Array ex-OR","description":"There are in MATLAB logical functions such as \r\n_\u003chttp://www.mathworks.co.uk/help/matlab/ref/and.html and\u003e,_ \r\n_\u003chttp://www.mathworks.co.uk/help/matlab/ref/or.html or\u003e_, \r\n_\u003chttp://www.mathworks.co.uk/help/matlab/ref/xor.html xor\u003e_.\r\n\r\n_And_ has its matrix equivalent \r\n_\u003chttp://www.mathworks.co.uk/help/matlab/ref/all.html all\u003e_, \r\nand so has _or_ its \r\n_\u003chttp://www.mathworks.co.uk/help/matlab/ref/any.html any\u003e_.\r\n\r\nWrite a function which is array equivalent for exclusive-OR function _xor_.\r\n\r\nNote that your solution will be scored using its Cody size and complexity.\r\n","description_html":"\u003cp\u003eThere are in MATLAB logical functions such as  \u003ci\u003e\u003ca href = \"http://www.mathworks.co.uk/help/matlab/ref/and.html\"\u003eand\u003c/a\u003e,\u003c/i\u003e  \u003ci\u003e\u003ca href = \"http://www.mathworks.co.uk/help/matlab/ref/or.html\"\u003eor\u003c/a\u003e\u003c/i\u003e,  \u003ci\u003e\u003ca href = \"http://www.mathworks.co.uk/help/matlab/ref/xor.html\"\u003exor\u003c/a\u003e\u003c/i\u003e.\u003c/p\u003e\u003cp\u003e\u003ci\u003eAnd\u003c/i\u003e has its matrix equivalent  \u003ci\u003e\u003ca href = \"http://www.mathworks.co.uk/help/matlab/ref/all.html\"\u003eall\u003c/a\u003e\u003c/i\u003e, \r\nand so has \u003ci\u003eor\u003c/i\u003e its  \u003ci\u003e\u003ca href = \"http://www.mathworks.co.uk/help/matlab/ref/any.html\"\u003eany\u003c/a\u003e\u003c/i\u003e.\u003c/p\u003e\u003cp\u003eWrite a function which is array equivalent for exclusive-OR function \u003ci\u003exor\u003c/i\u003e.\u003c/p\u003e\u003cp\u003eNote that your solution will be scored using its Cody size and complexity.\u003c/p\u003e","function_template":"function out = arr_xor(in) % (in,dim) ?\r\n\r\n  out = xor(in,dim);\r\n\r\nend","test_suite":"%%\r\nx = [0 0 0 0 0 0 1 1 1 1 1 1;\r\n     0 0 0 1 1 1 0 0 0 1 1 1;\r\n     0 1 1 0 1 1 0 1 1 0 1 1;\r\n     0 1 0 1 0 1 0 1 0 1 0 1];\r\ny = [0 0 1 0 0 1 1 1 0 1 1 0];\r\nassert(isequal(arr_xor(x),y))\r\nassert(isequal(arr_xor(x'),zeros(1,4)))\r\n%%\r\nx = randi([0 1],4,12);\r\ny = x(1,:);\r\nfor k=2:4\r\n  y = xor(y,x(k,:));\r\nend\r\nassert(isequal(arr_xor(x),y))\r\n%% optional:\r\n% optional logical output\r\ntry\r\n  assert(islogical(arr_xor(randi([0 1],6,10))))\r\n  penalty = 0;\r\ncatch\r\n  disp('output is not logical, +15 points of penalty')\r\n  penalty = 15;\r\nend\r\n% optional - dim\r\nx = randi([0 1],10);\r\ntry\r\n  assert(isequal(arr_xor(x),arr_xor(x ,1)))\r\n  assert(isequal(arr_xor(x),arr_xor(x',2)'))\r\ncatch\r\n  disp('operating dimention not implemented. +15 points of penalty')\r\n  penalty = penalty+15;\r\nend\r\n% optional - correct for singular dimention\r\ntry\r\n  assert(isequal(arr_xor(1),1))\r\n  assert(isequal(arr_xor([0 0 1 1 0]),0))\r\n  assert(isequal(arr_xor([0;1;1;1;0]),1))\r\ncatch\r\n  disp('incorrect work for vectors, +10 points of penalty');\r\n  penalty=penalty+10;\r\nend\r\n% format conversion\r\ntry\r\n  assert(isequal(arr_xor(['MATLAB';'matlab']'),[0 0]))\r\ncatch\r\n  disp('no conversion from char, +2 points of penalty' )\r\n  penalty=penalty+2;\r\nend\r\ntry\r\n  assert(all(arr_xor(randi(5,5))))\r\n  assert(~any(arr_xor(randi(6,6))))\r\ncatch\r\n  disp('no conversion from double, +5 points of penalty' )\r\n  penalty=penalty+5;\r\nend\r\nfor l=1:4\r\n  stime(l)=tic;\r\n  for k=2:750\r\n    [~]=arr_xor(randi([0 1],k));\r\n  end\r\n  time(l)=toc(stime(l));\r\nend\r\ntime=min(time);\r\ndisp(['elapsed time is ' num2str(time*1000) ' ms.'])\r\n%score calculation\r\nt = mtree('arr_xor.m','-file');\r\nsize = length(t.nodesize);\r\nfeval(@assignin,'caller','score',size + penalty + round(time*5));\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":14358,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":61,"test_suite_updated_at":"2014-04-11T20:10:24.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2014-04-11T19:50:53.000Z","updated_at":"2026-10-28T09:33:15.000Z","published_at":"2014-04-11T20:00:15.000Z","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\u003eThere are in MATLAB logical functions such as \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"http://www.mathworks.co.uk/help/matlab/ref/and.html\\\"\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eand\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"http://www.mathworks.co.uk/help/matlab/ref/or.html\\\"\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eor\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"http://www.mathworks.co.uk/help/matlab/ref/xor.html\\\"\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003exor\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eAnd\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e has its matrix equivalent \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"http://www.mathworks.co.uk/help/matlab/ref/all.html\\\"\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eall\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e, and so has\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eor\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e its \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"http://www.mathworks.co.uk/help/matlab/ref/any.html\\\"\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eany\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function which is array equivalent for exclusive-OR function\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003exor\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that your solution will be scored using its Cody size and complexity.\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\"}]}"},{"id":2499,"title":"Airline Ticket Mod7 Checksum ","description":"There are 13 digits in an airline ticket number. If an airline ticket number is valid, the 13th digit should be the remainder of division by seven of the first 12. \r\n\r\n\r\n\r\nWrite a function that returns true if a plane ticket number is valid and false otherwise.","description_html":"\u003cp\u003eThere are 13 digits in an airline ticket number. If an airline ticket number is valid, the 13th digit should be the remainder of division by seven of the first 12.\u003c/p\u003e\u003cp\u003eWrite a function that returns true if a plane ticket number is valid and false otherwise.\u003c/p\u003e","function_template":"function b = isTicketValid(T)\r\n\r\nend","test_suite":"%%\r\nT=1234567891011;\r\nb_correct=0;\r\nassert(isequal(isTicketValid(T),b_correct))\r\n%%\r\nT=2355211846932;\r\nb_correct=0;\r\nassert(isequal(isTicketValid(T),b_correct))\r\n%%\r\nT=2355211846934;\r\nb_correct=1;\r\nassert(isequal(isTicketValid(T),b_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":379,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":91,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2014-08-09T16:26:01.000Z","updated_at":"2026-10-28T09:35:36.000Z","published_at":"2014-08-09T16:26:01.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eThere are 13 digits in an airline ticket number. If an airline ticket number is valid, the 13th digit should be the remainder of division by seven of the first 12.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that returns true if a plane ticket number is valid and false otherwise.\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\"}]}"},{"id":2810,"title":"Determinant without using det()","description":"Given a square matrix A, compute the \u003chttp://en.wikipedia.org/wiki/Determinant determinant\u003e of A.\r\n\r\nNote that you may not use the built-in MATLAB function det(). This will be checked.\r\n\r\n*Examples:*\r\n\r\n    A = 1;\r\n    y = 1;\r\n\r\n    A = [1 2; 3 4];\r\n    y = -2;","description_html":"\u003cp\u003eGiven a square matrix A, compute the \u003ca href = \"http://en.wikipedia.org/wiki/Determinant\"\u003edeterminant\u003c/a\u003e of A.\u003c/p\u003e\u003cp\u003eNote that you may not use the built-in MATLAB function det(). This will be checked.\u003c/p\u003e\u003cp\u003e\u003cb\u003eExamples:\u003c/b\u003e\u003c/p\u003e\u003cpre\u003e    A = 1;\r\n    y = 1;\u003c/pre\u003e\u003cpre\u003e    A = [1 2; 3 4];\r\n    y = -2;\u003c/pre\u003e","function_template":"function y = det2(A)\r\n  y = A;\r\nend","test_suite":"%% Tests whether you have used det()\r\nassert(isempty(regexpi(evalc('type det2'),'det *(')))\r\n\r\n%%\r\nA = 23;\r\nabserr=abs(det(A)-det2(A));\r\nrelerr=abserr/abs(det(A));\r\nassert(abserr\u003c1e-10 | relerr\u003c1e-10)\r\n\r\n%%\r\nA = magic(2);\r\nabserr=abs(det(A)-det2(A));\r\nrelerr=abserr/abs(det(A));\r\nassert(abserr\u003c1e-10 | relerr\u003c1e-10)\r\n\r\n%%\r\nA = magic(5);\r\nabserr=abs(det(A)-det2(A));\r\nrelerr=abserr/abs(det(A));\r\nassert(abserr\u003c1e-10 | relerr\u003c1e-10)\r\n\r\n%%\r\nA = hilb(4);\r\nabserr=abs(det(A)-det2(A));\r\nrelerr=abserr/abs(det(A));\r\nassert(abserr\u003c1e-10 | relerr\u003c1e-10)\r\n\r\n%%\r\nA = [10 7 2 9; 10 1 1 8; 7 10 1 10; 3 7 6 7];\r\nabserr=abs(det(A)-det2(A));\r\nrelerr=abserr/abs(det(A));\r\nassert(abserr\u003c1e-10 | relerr\u003c1e-10)\r\n\r\n%%\r\nA = [6 8 5 8 8 8 9 5; 3 8 3 8 8 5 1 3; 6 4 4 3 6 3 3 8; 6 4 1 3 3 3 7 8;\r\n     6 3 5 3 4 8 6 9; 5 7 4 7 5 6 4 3; 1 4 9 9 1 4 6 9; 7 1 5 6 4 1 1 1];\r\nabserr=abs(det(A)-det2(A));\r\nrelerr=abserr/abs(det(A));\r\nassert(abserr\u003c1e-10 | relerr\u003c1e-10)\r\n","published":true,"deleted":false,"likes_count":5,"comments_count":0,"created_by":33611,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":72,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2015-01-03T18:44:00.000Z","updated_at":"2026-10-28T09:36:30.000Z","published_at":"2015-01-03T20:17:57.000Z","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\u003eGiven a square matrix A, compute the\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=\\\"http://en.wikipedia.org/wiki/Determinant\\\"\u003e\u003cw:r\u003e\u003cw:t\u003edeterminant\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e of A.\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\u003eNote that you may not use the built-in MATLAB function det(). This will be checked.\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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eExamples:\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[    A = 1;\\n    y = 1;\\n\\n    A = [1 2; 3 4];\\n    y = -2;]]\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\"}]}"},{"id":43560,"title":"Calculate the hypotenuse of a right triangle without using ^ and sqrt ()","description":"Find out the hypotenuse of right triangle.\r\n\r\n\r\nSay a = 4, b = 3  then c = 5 \r\n\r\n\r\nPlease don't use ^ and sqrt() function. ","description_html":"\u003cp\u003eFind out the hypotenuse of right triangle.\u003c/p\u003e\u003cp\u003eSay a = 4, b = 3  then c = 5\u003c/p\u003e\u003cp\u003ePlease don't use ^ and sqrt() function.\u003c/p\u003e","function_template":"function y = hypotenuse(a,b)\r\n  y = sqrt(a^2+b^2)\r\nend","test_suite":"%%\r\na = 3;\r\nb= 4;\r\ny_correct = 5;\r\nassert(abs(hypotenuse(a,b)-y_correct)\u003c0.0001)\r\n\r\n%%\r\na = 2;\r\nb = pi * 2;\r\ny_correct = sqrt(a^2+b^2);\r\nassert(abs(hypotenuse(a,b)-y_correct)\u003c0.0001)\r\n\r\n%%\r\na = randi(10);\r\nb = randi(13);\r\ny_correct = sqrt(a^2+b^2);\r\nassert(abs(hypotenuse(a,b)-y_correct)\u003c0.0001)\r\n\r\n%%\r\nuser_solution = fileread('hypotenuse.m');\r\nassert(isempty(strfind(user_solution,'^')));\r\n\r\n%%\r\nassessFunctionAbsence({'sqrt'}, 'FileName', 'hypotenuse.m');\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":2,"created_by":14644,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":111,"test_suite_updated_at":"2016-11-30T19:36:02.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2016-10-16T08:20:00.000Z","updated_at":"2026-10-28T09:37:35.000Z","published_at":"2016-10-16T08:20:07.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eFind out the hypotenuse of right triangle.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSay a = 4, b = 3 then c = 5\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ePlease don't use ^ and sqrt() function.\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\"}]}"},{"id":43564,"title":"Calculate sin(x) without sin(x)","description":"Calculate\r\ny = sin(x)\r\n\r\nx = 0 -\u003e y= 0\r\n\r\nwithout the use of sin(x) or cos(x)\r\n","description_html":"\u003cp\u003eCalculate\r\ny = sin(x)\u003c/p\u003e\u003cp\u003ex = 0 -\u0026gt; y= 0\u003c/p\u003e\u003cp\u003ewithout the use of sin(x) or cos(x)\u003c/p\u003e","function_template":"function y = my_func(x)\r\n  y = sin(x);\r\nend","test_suite":"x = 0;\r\ny_correct = 0;\r\nassert(abs(my_func(x)-y_correct)\u003c0.0001)\r\n\r\n%%\r\nx = -pi/2;\r\ny_correct = sin(x);\r\nassert(abs(my_func(x)-y_correct)\u003c0.0001)\r\n\r\n%%\r\nx = rand(1)*2*pi;\r\ny_correct = sin(x);\r\nassert(abs(my_func(x)-y_correct)\u003c0.0001)\r\n\r\n%%\r\nassessFunctionAbsence({'cos', 'sin'}, 'FileName', 'my_func.m');\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":2,"created_by":14644,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":123,"test_suite_updated_at":"2016-12-01T18:41:33.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2016-10-16T10:50:54.000Z","updated_at":"2026-10-28T09:39:28.000Z","published_at":"2016-10-16T10:50:54.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eCalculate y = sin(x)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ex = 0 -\u0026gt; y= 0\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ewithout the use of sin(x) or cos(x)\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\"}]}"},{"id":43563,"title":"Calculate cosine without cos(x)","description":"Solve cos(x).\r\n\r\nThe use of the function cos() and sin() is not allowed.","description_html":"\u003cp\u003eSolve cos(x).\u003c/p\u003e\u003cp\u003eThe use of the function cos() and sin() is not allowed.\u003c/p\u003e","function_template":"function y = my_func(x)\r\n  y = cos(x);\r\nend","test_suite":"%%\r\nx = 0;\r\ny_correct = 1;\r\nassert(abs(my_func(x)-y_correct)\u003c0.0001)\r\n\r\n%%\r\nx = pi/2;\r\ny_correct = 0;\r\nassert(abs(my_func(x)-y_correct)\u003c0.0001)\r\n\r\n%%\r\nx = rand(1)*2*pi;\r\ny_correct = cos(x);\r\nassert(abs(my_func(x)-y_correct)\u003c0.0001)\r\n\r\n%%\r\nassessFunctionAbsence({'sin','cos'}, 'FileName', 'my_func.m')\r\n\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":1,"created_by":14644,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":133,"test_suite_updated_at":"2016-12-01T18:38:29.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2016-10-16T10:35:20.000Z","updated_at":"2026-10-28T09:40:11.000Z","published_at":"2016-10-16T10:42:54.000Z","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\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"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\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\u003eSolve cos(x).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe use of the function cos() and sin() is not allowed.\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\"}]}"},{"id":43738,"title":"Negative without '-'","description":"Simple: return a negative number without using the '-' sign.\r\n\r\nThanks to Problem \u003chttps://www.mathworks.com/matlabcentral/cody/problems/813-multiply-2-numbers/solutions/new 813\u003e for help with test suite.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: normal; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"display: block; min-width: 0px; padding-top: 0px; transform-origin: 332px 25.5px; vertical-align: baseline; perspective-origin: 332px 25.5px; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; transform-origin: 309px 10.5px; white-space: pre-wrap; perspective-origin: 309px 10.5px; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; transform-origin: 0px 0px; perspective-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eSimple: return a negative number without using the '-' sign.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; transform-origin: 309px 10.5px; white-space: pre-wrap; perspective-origin: 309px 10.5px; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; transform-origin: 0px 0px; perspective-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eThanks to Problem\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; transform-origin: 0px 0px; perspective-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://www.mathworks.com/matlabcentral/cody/problems/813-multiply-2-numbers/solutions/new\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003e813\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; transform-origin: 0px 0px; perspective-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e for help with test suite.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = your_fcn_name(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 1;\r\ny_correct = -1;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\nfiletext = fileread('your_fcn_name.m');\r\nassert(isempty(strfind(filetext, '*')),'sign * forbidden')\r\nassert(isempty(strfind(filetext, 'mtimes')),'mtimes forbidden')\r\nassert(isempty(strfind(filetext, 'cross')),'cross forbidden')\r\nassert(isempty(strfind(filetext, 'prod')),'prod forbidden')\r\nassert(isempty(strfind(filetext, 'cumprod')),'cumprod forbidden')\r\nassert(isempty(strfind(filetext, 'times')),'times forbidden')\r\nassert(isempty(strfind(filetext, 'mldivide')),'mldivide forbidden')\r\nassert(isempty(strfind(filetext, 'mrdivide')),'mrdivide forbidden')\r\nassert(isempty(strfind(filetext, '/')),'/ forbidden')\r\nassert(isempty(strfind(filetext, '\\')),'\\ forbidden')\r\nassert(isempty(strfind(filetext, '-')),'- forbidden')\r\n%assert(isempty(strfind(filetext, '0')),'0 forbidden')\r\nassert(isempty(strfind(filetext, '^')),'^ forbidden')\r\nassert(isempty(strfind(filetext, 'dot')),'dot forbidden')\r\nassert(isempty(strfind(filetext, '''')),'string forbidden')\r\n\r\n%%\r\nx = 8;\r\ny_correct = -8;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 8;\r\ny_correct = -8;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = -148;\r\ny_correct = 148;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = randi([1 58]);\r\ny_correct = -x;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = -pi;\r\ny_correct = pi;\r\nassert(isequal(your_fcn_name(x),y_correct))","published":true,"deleted":false,"likes_count":1,"comments_count":4,"created_by":93456,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":77,"test_suite_updated_at":"2020-10-08T13:15:19.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2016-12-06T23:54:31.000Z","updated_at":"2026-10-28T09:52:52.000Z","published_at":"2016-12-06T23:54:30.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSimple: return a negative number without using the '-' sign.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThanks to Problem\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/813-multiply-2-numbers/solutions/new\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e813\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e for help with test suite.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":44159,"title":"calculate PI without using pi function","description":"There are many methods to get the pi(Ratio of circumference to diameter). \r\nYou should get pi without using the pi function in MATLAB.\r\n\r\n\u003chttps://en.wikipedia.org/wiki/Pi\u003e The Chinese mathematician Zu Chongzhi, around 480 AD, calculated that π ≈ 355/113. With a correct value for its seven first decimal digits, this value of 3. 141592920 , remained the most accurate approximation of π available for the next 800 years.","description_html":"\u003cp\u003eThere are many methods to get the pi(Ratio of circumference to diameter). \r\nYou should get pi without using the pi function in MATLAB.\u003c/p\u003e\u003cp\u003e\u003ca href = \"https://en.wikipedia.org/wiki/Pi\"\u003ehttps://en.wikipedia.org/wiki/Pi\u003c/a\u003e The Chinese mathematician Zu Chongzhi, around 480 AD, calculated that π ≈ 355/113. With a correct value for its seven first decimal digits, this value of 3. 141592920 , remained the most accurate approximation of π available for the next 800 years.\u003c/p\u003e","function_template":"function PAI = calculate_PAI\r\n  PAI = ...;\r\nend","test_suite":"%%\r\nassert(abs(calculate_PAI-pi)\u003c1e-7);\r\n%%\r\nfiletext = fileread('calculate_PAI.m');\r\nassert(isempty(strfind(filetext, 'pi')),'pi forbidden');\r\nassert(isempty(strfind(filetext, '3.14159')),'3.14159 forbidden');\r\nassert(isempty(strfind(filetext, 'str')),'str function forbidden');","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":125749,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":116,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2017-05-14T04:46:10.000Z","updated_at":"2026-10-28T09:56:40.000Z","published_at":"2017-05-14T04:46:10.000Z","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\u003eThere are many methods to get the pi(Ratio of circumference to diameter). You should get pi without using the pi function in MATLAB.\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:hyperlink w:docLocation=\\\"https://en.wikipedia.org/wiki/Pi\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026lt;https://en.wikipedia.org/wiki/Pi\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026gt; The Chinese mathematician Zu Chongzhi, around 480 AD, calculated that π ≈ 355/113. With a correct value for its seven first decimal digits, this value of 3. 141592920 , remained the most accurate approximation of π available for the next 800 years.\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\"}]}"}],"no_progress_badge":{"id":53,"name":"Unknown","symbol":"unknown","description":"Partially completed groups","description_html":null,"image_location":"/images/responsive/supporting/matlabcentral/cody/badges/problem_groups_unknown_2.png","bonus":null,"players_count":0,"active":false,"created_by":null,"updated_by":null,"deleted_by":null,"deleted_at":null,"restored_by":null,"restored_at":null,"created_at":"2018-01-10T23:20:29.000Z","updated_at":"2018-01-10T23:20:29.000Z","community_badge_id":null,"award_multiples":false}}