{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2026-04-16T00:12:35.000Z","description":"Problems submitted by members of the MATLAB Central community.","is_default":true,"created_by":161519,"badge_id":null,"featured":false,"trending":false,"solution_count_in_trending_period":0,"trending_last_calculated":"2026-04-16T00:00:00.000Z","image_id":null,"published":true,"community_created":false,"status_id":2,"is_default_group_for_player":false,"deleted_by":null,"deleted_at":null,"restored_by":null,"restored_at":null,"description_opc":null,"description_html":null,"published_at":null},"problems":[{"id":53960,"title":"Wordle","description":"Wordle is an english game where you need to guess a 5 letter word. For each guess you'll receive a feedback for the placement of each letter. If a letter is in the correct spot it will show as green, if a letter is in the word, but in the wrong spot it will show as yellow and if the letter is not present in the word it will show as black.\r\nFor this problem your inputs will be the target word and a guess, the output should be a vector corresponding to the guess word where there should be a -1 if the letter is not present in the target word, a 0 if the letter is present in the target word, but at the wrong spot, and a 1 if the letter is in the correct spot.\r\n\r\nExample:\r\nTarget Word: 'thing'\r\nGuess Word: 'write'\r\nOutput: [-1 -1 1 0 -1]\r\nAll inputs will be lower case and contain 5 letters.\r\nIf a letter appears more than once in the guess and only once in the target word then it should be considered correct only once. consider the correct letter the one in the correct spot if any, else the first occurence of the letter should be considered (see test cases 2,3, and 4 for examples)","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: 387px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 193.5px; transform-origin: 407px 193.5px; 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\u003ca target='_blank' href = \"https://www.powerlanguage.co.uk/wordle/\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eWordle\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; \"\u003e\u003cspan style=\"\"\u003e is an english game where you need to guess a 5 letter word. For each guess you'll receive a feedback for the placement of each letter. If a letter is in the correct spot it will show as green, if a letter is in the word, but in the wrong spot it will show as yellow and if the letter is not present in the word it will show as black.\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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor this problem your inputs will be the target word and a guess, the output should be a vector corresponding to the guess word where there should be a -1 if the letter is not present in the target word, a 0 if the letter is present in the target word, but at the wrong spot, and a 1 if the letter is in the correct spot.\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=\"\"\u003eExample:\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=\"\"\u003eTarget Word: 'thing'\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=\"\"\u003eGuess Word: 'write'\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=\"\"\u003eOutput: [-1 -1 1 0 -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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAll inputs will be lower case and contain 5 letters.\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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIf a letter appears more than once in the guess and only once in the target word then it should be considered correct only once. consider the correct letter the one in the correct spot if any, else the first occurence of the letter should be considered (see test cases 2,3, and 4 for examples)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = wordle(target,guess)\r\n  y =[0 0 0 0 0];\r\nend","test_suite":"%%\r\ntarget = 'prick';\r\nguess = 'thing';\r\ny_correct = [-1 -1 1 -1 -1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'carts';\r\nguess = 'sssss';\r\ny_correct = [-1 -1 -1 -1 1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'parts';\r\nguess = 'ssssp';\r\ny_correct = [0 -1 -1 -1 0];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'sides';\r\nguess = 'ksssk';\r\ny_correct = [-1 0 0 -1 -1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'write';\r\nguess = 'price';\r\ny_correct = [-1 1 1 -1 1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'heart';\r\nguess = 'lists';\r\ny_correct = [-1 -1 -1 0 -1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'blues';\r\nguess = 'purge';\r\ny_correct = [-1 0 -1 -1 0];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'perky';\r\nguess = 'pluck';\r\ny_correct = [1 -1 -1 -1 0];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'perky';\r\nguess = 'axiom';\r\ny_correct = [-1 -1 -1 -1 -1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'perky';\r\nguess = 'perks';\r\ny_correct = [1 1 1 1 -1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'mount';\r\nguess = 'mount';\r\ny_correct = [1 1 1 1 1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":3,"created_by":1766515,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":8,"test_suite_updated_at":"2022-01-28T14:57:59.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2022-01-21T15:14:48.000Z","updated_at":"2024-11-14T20:03:07.000Z","published_at":"2022-01-21T15:14:48.000Z","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:hyperlink w:docLocation=\\\"https://www.powerlanguage.co.uk/wordle/\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eWordle\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e is an english game where you need to guess a 5 letter word. For each guess you'll receive a feedback for the placement of each letter. If a letter is in the correct spot it will show as green, if a letter is in the word, but in the wrong spot it will show as yellow and if the letter is not present in the word it will show as black.\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 this problem your inputs will be the target word and a guess, the output should be a vector corresponding to the guess word where there should be a -1 if the letter is not present in the target word, a 0 if the letter is present in the target word, but at the wrong spot, and a 1 if the letter is in the correct spot.\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\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\u003eTarget Word: 'thing'\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\u003eGuess Word: 'write'\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: [-1 -1 1 0 -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\u003eAll inputs will be lower case and contain 5 letters.\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 a letter appears more than once in the guess and only once in the target word then it should be considered correct only once. consider the correct letter the one in the correct spot if any, else the first occurence of the letter should be considered (see test cases 2,3, and 4 for examples)\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":61060,"title":"Popular Word Game™ Distance","description":"Professor Ned, who holds the Nedowed Chair of Crackpot Mathematics at the University of Nedsburg, has recently discovered the daily word puzzle Popular Word Game™ published by the Nedsburg Times. He has become so obsessed with it, he is trying to pioneer a whole new field of math based around the idea of a Popular Word Game distance metric: the distance between two points x and y is calculated using the rules of Popular Word Game to score x as a guess for the solution y.\r\nIn Popular Word Game, the elements, x(j), of x (which would be letters in the game) are scored using these rules:\r\nIf x(j) = y(j), then x(j) is shown as green (correct)\r\nOtherwise, if x(j) = y(k) for some k ≠ j, then x(j) is shown as yellow (correct value/letter, but wrong location)\r\n    Elements of y can be used only once as a match\r\n    Precedence goes first to green matches, then to yellow\r\n    Evaluation goes in index order (left to right)\r\nOtherwise, x(j) is shown as black (incorrect)\r\nIn Professor Ned's metric, the elements of x are assigned numeric values according to these same rules, with green = 0, yellow = 1, black = 2. The distance between x and y is then the sum of these individual distance values.\r\nExample\r\n\r\nx = [4 3 2 4 2 3 1];\r\ny = [3 1 2 4 1 4 4];\r\nd = PWGdist(x,y)\r\nd =\r\n7\r\nAssumptions\r\nThe vectors x and y will be nonempty numeric row vectors of the same length.","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; white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1001.61px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 408px 500.8px; transform-origin: 408px 500.806px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 105px; 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: 385px 52.5px; text-align: left; transform-origin: 385px 52.5px; 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=\"\"\u003eProfessor Ned, who holds 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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNedowed\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 Chair of Crackpot Mathematics at the University of \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=\"\"\u003eNedsburg\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, has recently discovered the daily word puzzle Popular Word Game™ published by 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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNedsburg\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 Times. He has become so obsessed with it, he is trying to pioneer a whole new field of math based around the idea of a Popular Word Game distance metric: the distance between two points \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-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; 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: 0px 0px; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is calculated using the rules of Popular Word Game to score \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-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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e as a guess for the solution \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-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; 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: 385px 10.5px; text-align: left; transform-origin: 385px 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=\"\"\u003eIn Popular Word Game, the elements, \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-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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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), of \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-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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (which would be letters in the game) are scored using these rules:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 122.625px; 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: 392px 61.3125px; transform-origin: 392px 61.3125px; 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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003eIf \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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e), then \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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e) is shown as green (correct)\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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003eOtherwise, if \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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ek\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e) for some \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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ek\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; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, then \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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e) is shown as yellow (correct value/letter, but wrong location)\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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003e    Elements of y can be used only once as a match\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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003e    Precedence goes first to green matches, then to yellow\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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003e    Evaluation goes in index order (left to right)\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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003eOtherwise, \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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e) is shown as black (incorrect)\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\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: 385px 21px; text-align: left; transform-origin: 385px 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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIn Professor Ned's metric, the elements of \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-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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e are assigned numeric values according to these same rules, with green = 0, yellow = 1, black = 2. The distance between \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-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; 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: 0px 0px; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is then the sum of these individual distance values.\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: 385px 10.5px; text-align: left; transform-origin: 385px 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=\"block-size: 459.8px; 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: 385px 229.9px; text-align: left; transform-origin: 385px 229.9px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"397\" height=\"454\" style=\"vertical-align: baseline;width: 397px;height: 454px\" 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\" alt=\"Diagram showing how the distance is calculated for an example with x = [4 3 2 4 2 3 1] and y = [3 1 2 4 1 4 4]. First, the third and fourth elements of x and y are matched and shown as green. Then the first element of x (4) is matched to the sixth element of y. The second element of x is matched to the first element of y. The seventh element of x is matched to the second element of y. These are all shown as yellow. The remaining elements of x are shown unmatched. The two green elements score 0, the three yellow elements score 1 (each), and the two black elements score 2 (each), for a total of 7.\" data-image-state=\"image-loaded\"\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: 405px 51.0875px; transform-origin: 405px 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: 0.8px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.8px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.8px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.8px; 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: 405px 10.2125px; text-wrap-mode: nowrap; transform-origin: 405px 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; \"\u003ex = [4 3 2 4 2 3 1];\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: 0.8px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.8px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.8px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.8px; 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: 405px 10.2125px; text-wrap-mode: nowrap; transform-origin: 405px 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; \"\u003ey = [3 1 2 4 1 4 4];\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: 0.8px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.8px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.8px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.8px; 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: 405px 10.2125px; text-wrap-mode: nowrap; transform-origin: 405px 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; \"\u003ed = PWGdist(x,y)\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: 0.8px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.8px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.8px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.8px; 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: 405px 10.2125px; text-wrap-mode: nowrap; transform-origin: 405px 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; \"\u003ed =\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: 0.8px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.8px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.8px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.8px; 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: 405px 10.2125px; text-wrap-mode: nowrap; transform-origin: 405px 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; \"\u003e7\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: 385px 10.5px; text-align: left; transform-origin: 385px 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eAssumptions\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: 385px 10.5px; text-align: left; transform-origin: 385px 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=\"\"\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: 0px 0px; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e will be nonempty numeric row vectors of the same length.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function d = PWGdist(x,y)\r\nd = sum(x-y);\r\nend","test_suite":"%% Test case #1: 1-element vector\r\nx = -3;\r\ny = -2;\r\nd = PWGdist(x,y);\r\nassert(isequal(d,2))\r\n\r\n%% Test case #2: 1-element vector\r\nx = 4;\r\ny = 4;\r\nd = PWGdist(x,y);\r\nassert(isequal(d,0))\r\n\r\n%% Test case #3: 2-element vector\r\nx = [8 4];\r\ny = [3 9];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,4))\r\n\r\n%% Test case #4: 2-element vector\r\nx = [5 4];\r\ny = [2 5];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,3))\r\n\r\n%% Test case #5: 3-element vector\r\nx = [4 5 2];\r\ny = [4 11 10];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,4))\r\n\r\n%% Test case #6: 3-element vector\r\nx = [4 8 6];\r\ny = [5 7 5];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,6))\r\n\r\n%% Test case #7: 4-element vector\r\nx = [6 3 6 1];\r\ny = [4 0 1 2];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,7))\r\n\r\n%% Test case #8: 4-element vector\r\nx = [2 -2 -3 9];\r\ny = [9 -1 5 1];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,7))\r\n\r\n%% Test case #9: 5-element vector\r\nx = [10 11 1 8 2];\r\ny = [10 -1 2 5 3];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,7))\r\n\r\n%% Test case #10: 5-element vector\r\nx = [9 0 7 5 9];\r\ny = [2 6 7 4 0];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,7))\r\n\r\n%% Test case #11: 6-element vector\r\nx = [6 5 3 -1 4 3];\r\ny = [0 4 5 -1 3 3];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,5))\r\n\r\n%% Test case #12: 6-element vector\r\nx = [5 9 3 8 3 7];\r\ny = [9 4 8 10 5 5];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,9))\r\n\r\n%% Test case #13: 7-element vector\r\nx = [1 4 -1 9 5 -3 -2];\r\ny = [10 12 6 1 9 -1 1];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,11))\r\n\r\n%% Test case #14: 7-element vector\r\nx = [6 5 6 7 6 7 5];\r\ny = [5 5 5 6 5 6 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,8))\r\n\r\n%% Test case #15: 8-element vector\r\nx = [13 5 7 7 13 14 6 8];\r\ny = [14 6 13 12 14 9 14 12];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,13))\r\n\r\n%% Test case #16: 8-element vector\r\nx = [4 8 4 6 2 5 6 5];\r\ny = [5 2 4 4 4 8 5 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,9))\r\n\r\n%% Test case #17: 9-element vector\r\nx = [17 15 13 17 8 6 9 11 13];\r\ny = [8 14 18 18 18 19 10 9 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,16))\r\n\r\n%% Test case #18: 9-element vector\r\nx = [-3 -3 -5 -5 -1 1 -2 -2 -2];\r\ny = [-1 -5 -4 -2 -1 -3 -1 -4 -4];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,13))\r\n\r\n%% Test case #19: 10-element vector\r\nx = [9 20 20 18 8 18 5 17 9 13];\r\ny = [12 10 9 13 13 8 5 19 10 16];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,15))\r\n\r\n%% Test case #20: 10-element vector\r\nx = [1 6 8 2 6 4 9 8 6 9];\r\ny = [6 2 5 6 10 6 6 8 11 6];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,14))\r\n\r\n%% Test case #21: 11-element vector\r\nx = [3 7 6 7 7 7 8 8 4 6 7];\r\ny = [5 5 4 7 6 3 3 6 6 3 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,14))\r\n\r\n%% Test case #22: 11-element vector\r\nx = [6 10 8 10 9 10 6 11 10 6 8];\r\ny = [9 8 11 9 7 10 11 5 7 8 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,16))\r\n\r\n%% Test case #23: 12-element vector\r\nx = [11 11 10 9 6 5 10 9 6 11 8 7];\r\ny = [12 8 9 8 6 9 5 7 6 11 8 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,11))\r\n\r\n%% Test case #24: 12-element vector\r\nx = [-5 -5 -2 -2 0 0 -4 -5 -3 0 -2 -3];\r\ny = [-5 0 0 -5 -5 -2 -2 -2 -2 -2 -3 0];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,13))\r\n\r\n%% Test random vectors against themselves and against a single change\r\nfor k = 1:10\r\n    n = randi([1 12]);\r\n    m = randi(5);\r\n    x = randi(m,1,n);\r\n    y = x;\r\n    idx = randi(n);\r\n    y(idx) = -2;\r\n    d = PWGdist(x,y);\r\n    assert(d==2)\r\n    assert(PWGdist(x,x)==0)\r\nend","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2025-11-10T02:23:39.000Z","deleted_by":null,"deleted_at":null,"solvers_count":91,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2025-11-04T20:27:10.000Z","updated_at":"2026-04-13T22:20:41.000Z","published_at":"2025-11-10T02:23:39.000Z","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\u003eProfessor Ned, who holds the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eNedowed\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e Chair of Crackpot Mathematics at the University of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eNedsburg\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, has recently discovered the daily word puzzle Popular Word Game™ published by the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eNedsburg\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e Times. He has become so obsessed with it, he is trying to pioneer a whole new field of math based around the idea of a Popular Word Game distance metric: the distance between two points \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 is calculated using the rules of Popular Word Game to score \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 as a guess for the solution \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.\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 Popular Word Game, the elements, \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\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e), of \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 (which would be letters in the game) are scored using these rules:\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(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ej\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(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e), then \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\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) is shown as green (correct)\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(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ej\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(\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) for some \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 ≠ \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then \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\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) is shown as yellow (correct value/letter, but wrong location)\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\u003e    Elements of y can be used only once as a match\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\u003e    Precedence goes first to green matches, then to yellow\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\u003e    Evaluation goes in index order (left to right)\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, \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\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) is shown as black (incorrect)\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 Professor Ned's metric, the elements of \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 are assigned numeric values according to these same rules, with green = 0, yellow = 1, black = 2. The distance between \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 is then the sum of these individual distance values.\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=\\\"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=\\\"397\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"Diagram showing how the distance is calculated for an example with x = [4 3 2 4 2 3 1] and y = [3 1 2 4 1 4 4]. First, the third and fourth elements of x and y are matched and shown as green. Then the first element of x (4) is matched to the sixth element of y. The second element of x is matched to the first element of y. The seventh element of x is matched to the second element of y. These are all shown as yellow. The remaining elements of x are shown unmatched. The two green elements score 0, the three yellow elements score 1 (each), and the two black elements score 2 (each), for a total of 7.\\\"/\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[x = [4 3 2 4 2 3 1];\\ny = [3 1 2 4 1 4 4];\\nd = PWGdist(x,y)\\nd =\\n7]]\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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eAssumptions\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 vectors \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 will be nonempty numeric row vectors of the same 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is an english game where you need to guess a 5 letter word. For each guess you'll receive a feedback for the placement of each letter. If a letter is in the correct spot it will show as green, if a letter is in the word, but in the wrong spot it will show as yellow and if the letter is not present in the word it will show as black.\r\nFor this problem your inputs will be the target word and a guess, the output should be a vector corresponding to the guess word where there should be a -1 if the letter is not present in the target word, a 0 if the letter is present in the target word, but at the wrong spot, and a 1 if the letter is in the correct spot.\r\n\r\nExample:\r\nTarget Word: 'thing'\r\nGuess Word: 'write'\r\nOutput: [-1 -1 1 0 -1]\r\nAll inputs will be lower case and contain 5 letters.\r\nIf a letter appears more than once in the guess and only once in the target word then it should be considered correct only once. consider the correct letter the one in the correct spot if any, else the first occurence of the letter should be considered (see test cases 2,3, and 4 for examples)","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: 387px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 193.5px; transform-origin: 407px 193.5px; 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\u003ca target='_blank' href = \"https://www.powerlanguage.co.uk/wordle/\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eWordle\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; \"\u003e\u003cspan style=\"\"\u003e is an english game where you need to guess a 5 letter word. For each guess you'll receive a feedback for the placement of each letter. If a letter is in the correct spot it will show as green, if a letter is in the word, but in the wrong spot it will show as yellow and if the letter is not present in the word it will show as black.\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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor this problem your inputs will be the target word and a guess, the output should be a vector corresponding to the guess word where there should be a -1 if the letter is not present in the target word, a 0 if the letter is present in the target word, but at the wrong spot, and a 1 if the letter is in the correct spot.\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=\"\"\u003eExample:\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=\"\"\u003eTarget Word: 'thing'\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=\"\"\u003eGuess Word: 'write'\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=\"\"\u003eOutput: [-1 -1 1 0 -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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAll inputs will be lower case and contain 5 letters.\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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIf a letter appears more than once in the guess and only once in the target word then it should be considered correct only once. consider the correct letter the one in the correct spot if any, else the first occurence of the letter should be considered (see test cases 2,3, and 4 for examples)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = wordle(target,guess)\r\n  y =[0 0 0 0 0];\r\nend","test_suite":"%%\r\ntarget = 'prick';\r\nguess = 'thing';\r\ny_correct = [-1 -1 1 -1 -1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'carts';\r\nguess = 'sssss';\r\ny_correct = [-1 -1 -1 -1 1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'parts';\r\nguess = 'ssssp';\r\ny_correct = [0 -1 -1 -1 0];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'sides';\r\nguess = 'ksssk';\r\ny_correct = [-1 0 0 -1 -1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'write';\r\nguess = 'price';\r\ny_correct = [-1 1 1 -1 1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'heart';\r\nguess = 'lists';\r\ny_correct = [-1 -1 -1 0 -1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'blues';\r\nguess = 'purge';\r\ny_correct = [-1 0 -1 -1 0];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'perky';\r\nguess = 'pluck';\r\ny_correct = [1 -1 -1 -1 0];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'perky';\r\nguess = 'axiom';\r\ny_correct = [-1 -1 -1 -1 -1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'perky';\r\nguess = 'perks';\r\ny_correct = [1 1 1 1 -1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n%%\r\ntarget = 'mount';\r\nguess = 'mount';\r\ny_correct = [1 1 1 1 1];\r\nassert(isequal(wordle(target,guess),y_correct))\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":3,"created_by":1766515,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":8,"test_suite_updated_at":"2022-01-28T14:57:59.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2022-01-21T15:14:48.000Z","updated_at":"2024-11-14T20:03:07.000Z","published_at":"2022-01-21T15:14:48.000Z","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:hyperlink w:docLocation=\\\"https://www.powerlanguage.co.uk/wordle/\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eWordle\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e is an english game where you need to guess a 5 letter word. For each guess you'll receive a feedback for the placement of each letter. If a letter is in the correct spot it will show as green, if a letter is in the word, but in the wrong spot it will show as yellow and if the letter is not present in the word it will show as black.\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 this problem your inputs will be the target word and a guess, the output should be a vector corresponding to the guess word where there should be a -1 if the letter is not present in the target word, a 0 if the letter is present in the target word, but at the wrong spot, and a 1 if the letter is in the correct spot.\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\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\u003eTarget Word: 'thing'\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\u003eGuess Word: 'write'\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: [-1 -1 1 0 -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\u003eAll inputs will be lower case and contain 5 letters.\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 a letter appears more than once in the guess and only once in the target word then it should be considered correct only once. consider the correct letter the one in the correct spot if any, else the first occurence of the letter should be considered (see test cases 2,3, and 4 for examples)\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":61060,"title":"Popular Word Game™ Distance","description":"Professor Ned, who holds the Nedowed Chair of Crackpot Mathematics at the University of Nedsburg, has recently discovered the daily word puzzle Popular Word Game™ published by the Nedsburg Times. He has become so obsessed with it, he is trying to pioneer a whole new field of math based around the idea of a Popular Word Game distance metric: the distance between two points x and y is calculated using the rules of Popular Word Game to score x as a guess for the solution y.\r\nIn Popular Word Game, the elements, x(j), of x (which would be letters in the game) are scored using these rules:\r\nIf x(j) = y(j), then x(j) is shown as green (correct)\r\nOtherwise, if x(j) = y(k) for some k ≠ j, then x(j) is shown as yellow (correct value/letter, but wrong location)\r\n    Elements of y can be used only once as a match\r\n    Precedence goes first to green matches, then to yellow\r\n    Evaluation goes in index order (left to right)\r\nOtherwise, x(j) is shown as black (incorrect)\r\nIn Professor Ned's metric, the elements of x are assigned numeric values according to these same rules, with green = 0, yellow = 1, black = 2. The distance between x and y is then the sum of these individual distance values.\r\nExample\r\n\r\nx = [4 3 2 4 2 3 1];\r\ny = [3 1 2 4 1 4 4];\r\nd = PWGdist(x,y)\r\nd =\r\n7\r\nAssumptions\r\nThe vectors x and y will be nonempty numeric row vectors of the same length.","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; white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1001.61px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 408px 500.8px; transform-origin: 408px 500.806px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 105px; 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: 385px 52.5px; text-align: left; transform-origin: 385px 52.5px; 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=\"\"\u003eProfessor Ned, who holds 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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNedowed\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 Chair of Crackpot Mathematics at the University of \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=\"\"\u003eNedsburg\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, has recently discovered the daily word puzzle Popular Word Game™ published by 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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNedsburg\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 Times. He has become so obsessed with it, he is trying to pioneer a whole new field of math based around the idea of a Popular Word Game distance metric: the distance between two points \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-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; 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: 0px 0px; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is calculated using the rules of Popular Word Game to score \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-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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e as a guess for the solution \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-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; 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: 385px 10.5px; text-align: left; transform-origin: 385px 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=\"\"\u003eIn Popular Word Game, the elements, \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-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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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), of \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-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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (which would be letters in the game) are scored using these rules:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 122.625px; 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: 392px 61.3125px; transform-origin: 392px 61.3125px; 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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003eIf \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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e), then \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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e) is shown as green (correct)\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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003eOtherwise, if \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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ek\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e) for some \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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ek\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; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, then \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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e) is shown as yellow (correct value/letter, but wrong location)\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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003e    Elements of y can be used only once as a match\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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003e    Precedence goes first to green matches, then to yellow\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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003e    Evaluation goes in index order (left to right)\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: 364px 10.2125px; text-align: left; transform-origin: 364px 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=\"\"\u003eOtherwise, \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; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ej\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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e) is shown as black (incorrect)\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\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: 385px 21px; text-align: left; transform-origin: 385px 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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIn Professor Ned's metric, the elements of \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-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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e are assigned numeric values according to these same rules, with green = 0, yellow = 1, black = 2. The distance between \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-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; 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: 0px 0px; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is then the sum of these individual distance values.\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: 385px 10.5px; text-align: left; transform-origin: 385px 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=\"block-size: 459.8px; 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: 385px 229.9px; text-align: left; transform-origin: 385px 229.9px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"397\" height=\"454\" style=\"vertical-align: baseline;width: 397px;height: 454px\" 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Nh4sjQGtF5rxcTFD8fYrty23j8VbT5U3kKfeYBiKx6g1IrTubyjeXvF2p75v126+9GdDyVA8Rq0/51ujoaF4H8U/20u153nv891QvK9az+vWn+OtDMXrGYoBTvzKiTIGL43IfgVFDobi21R70dh6I7j0MaX4uJihePstjcKxU28gpwzF+6/1nF/6GjAUb6vaGHRqHKh9zNLNS4biMardvhQfN2Uo3kfxnq16/iFwyVC8r1p/lvfc+jhD8XqGYoATv3JiEv967TGMy1B8m+JzrXTqBWPrhWZ8XMxQvP16huJT/yAhZijed63n+6nnvKF4O9We1z3P49pYaCgev9rdT93eULyP4k1rnXoNeJyheF+1/jw/5+YlQ/F61g0gvaWfFi7/2eTUTx0zNkPx9au9GVx6IzjVeqEZHxczFG+/2qDUqvcnjgzF+672faJ06vaG4m106ffrUu32p/6MMBTvu9bXy6l/sGAo3kfxrkudeq6XDMX7qvX8PvXnecxQvJ6hGEgv/mE0VRt/l0Zlv4JibIbi61Z7sXjqjeDSx5bi42KG4u13zlA8derrxlC832pDYannTaWheBvVbthzv9bHnhqPDMX7rfVn+6nv8SVD8T6Kt+1p6fuFoXhftZ7jSzeuZShez1AMpNbzKyei+Liej2H/DMXXLT63Sr0vFFsvNOPjYobifVbufepfeLM0JBiK91nr3ku3Ps5QfPtq/+Cn936l2teAoXjMWn+ul3peGxiK91m57fRnfLx7z9eAoXhftZ7nrfu2MhSvZ9UA0lr66eDjXzkRLf0KiqWPY98Mxder9ub/nBeJrRea8XExQ/EY1b5+Sq0BylC8v869cS1D8W2rfZ8+536l2teBoXi8al8rU72vDQzFY3Tu14KheF+17lu77VKG4vUMxUBa8Q+hqdqvnIiWfhLZr6AYk6H4OtVeJJ47HtQ+Ryk+LmYoHqfW10BtRDIU76fWXS/5PmEovm21kffcMaD2OWrP8eMMxfuqduNLvl4MxWPV+rqIjzMU76vWn/HnPNdLhuL1DMVASmuH3qWfKi4xHkPx/XdXLxBbnyc+LmYoHqveN5KG4n3Uel6Xzh2JS4bi21V7bl5yw9rnMRSPU+2+U+e+LjAUj1Xrz4P4/DcU76vWXc99vhuK17NmAOksjbw9P008ufRXV7BPhuL7r/am8NwXh6XWC834uJiheLzi10ApvpE0FG+/1nO6dMnAWDIU36baLS+9Ye3PjPj8jhmK91HttlOXvC4wFI9X6/cWHz/GULyvan8+XPKcNxSvZygG0ol/+Bx3rrU/mcx+GIrvt9oL/kvHg9YLzfi4mKF4vGpjQxySDMXbrvV8Lp375vE4Q/Ftijdcc8ee53fMULz9anctXfqaoGQoHq/Wnw3HjzEU76vWTc/9M8JQvN75qwjAji0Nu5f8FPBd/XQy22covt/i86dU3vBfWvxcrc93/OLTUDxetcEhjg2G4u3WetNYOveNY8xQfP1q35vL8zF+X+6t9fyOjytN/xsMxduudtPprvGx52QoHq/Wnw/HfzYYivdVz017MhSvZygG0rivUdevoMjBUHy/xefOtToeEAzFt6ncIN5l7SgwVRsd4uc2FG+z2tfF1LlvGmsZiq/f0k3vu+l/g6F4m5XndO37dSl+z74kQ/Htivcs3cX38J5R0VC8r3pu2pOheD1DMZBG/EPnuLXi5zvOr6AYg6H4fovPm2tlKL59tfHoLoaBUm14iJ/bULy9anebOvcNYytD8fWrPdev1fS/wVC8vVrjUCl+v740Q/Htijct3cX38dbXjaF4v/XctCdD8Xrr1xGAHbjrXzkR3ddPK7MdhuL7LT5vrpWh+Pa13hjEx11S/Jzx5iVD8bZqjcTlr5/7ZnEpQ/H1MxQr1vr+X4rfq9dkKL5dte/pd3Hb1veT48cYivdV6/vBuX/2G4rXMxQDw7vWiHvfYzS3ZSi+3+Jz5loZirdRvEu8zSX1vuEwFG+n2qBQuqufKjzOUHz9WsPONZr+NxiKt1Pre3Qpfp9em6H4drWe9/Fx51b78yL+WWEo3let7wnnfj8wFK9nKAaGtzTg3uWvhVgapO/6v4vrMxTvp9YLzfi4mKH4dtXe8PXcbKnWm9P4hsNQvI1aXwPxjf9dZSjef7WvmVP/gMlQvI1af07XvkffRYbi29W69ann6qni5yvFPy8Mxfuq9bVy7vcEQ/F6hmJgaEsj8V3+NPFkaSy+j/8+rsdQvJ9aLzTj42KG4tvVGnXjm77eWl8Dtc9nKL5t5Va1wa91r7vKULz/al83p8YnQ/Hta32/L507CPVmKL5t8c5r71177tc+n6F4X7Veu8W7nspQvJ6hGAA6GIr3U+uFZnxczFB821pv/MpfP+dNQuv+rTcbhuLbtXSrU4Pf2gzF+6/2PePU142h+LbVblY69/v8uRmKb9tdfq9f+hqKjzUU76vW18m53xsMxesZigGgg6F4P7VeaMbHxQzFt611t6nyJrD1hrJ87NJPqU0fHz+uZCi+TT33vuuO//sNxfuv3DR+3bS+R0wZim9X7V73+Zw/HpcMxbev3CTePD53W4Ng+c9OfXztYw3F+6r1uqB226UMxesZigGgg6F4P7VeaMbHxQzFt691u7WVN5jxv2vKUHybTg37d138GjAU77/acGQo3m7xVvedoXh71Z6zd1FrSDQU76vWa8DWfVsZitczFANAB0Pxfmq90IyPixmKt1HrfpcWB8KYofg2GYq1ttroZCjebvFW952heJvVnrdrWhoRDcX7qvX6b+nGtQzF6xmKAaCDoXg/tV5oxsfFDMXb6i7eTPa8uTAU3yZDsdZW+x5hKN5u8Vb3naF4u7Vep51T/J5ey1C8r1pfFz2v5Y4zFK9nKAaADobi/dR6oRkfFzMUb7Oe30143NLvOaxlKL5NhmKtrfZ9wVC83eKt7jtD8fYrNzrnz4LynD/1HD/OULyvWq/fz3lNVzIUr2coBoAOhuLxMxRvv+lNZaz89XPfSEwZinNmKM6ZoThnhuLtN/05Hv98P/cf/h5nKM6ZoXg9QzEAdDAUj5+hOGeG4pwZinNmKM6ZoThnhuKcGYrXMxQDQAdD8fgZinNmKM6ZoThnhuKcGYpzZijOmaF4PUMxAHQwFI+foThnhuKcGYpzZijOmaE4Z4binBmK1zMUA0AHQ/H4GYpzZijOmaE4Z4binBmKc2YozpmheD1DMQB0MBSPn6E4Z4binBmKc2YozpmhOGeG4pwZitczFANAB0Px+BmKc2YozpmhOGeG4pwZinNmKM6ZoXg9QzEAdDAUj5+hOGeG4pwZinNmKM6ZoThnhuKcGYrXMxQDQAdD8fgZinNmKM6ZoThnhuKcGYpzZijOmaF4PUMxAHQwFI+foThnhuKcGYpzZijOmaE4Z4binBmK1zMUA0AHQ/H4GYpzZijOmaE4Z4binBmKc2YozpmheD1DMQB0MBSPn6E4Z4binBmKc2YozpmhOGeG4pwZitczFANAB0Px+BmKc2YozpmhOGeG4pwZinNmKM6ZoXg9QzEAdDAUj5+hOGeG4pwZinNmKM6ZoThnhuKcGYrXMxQDQAdD8fgZinNmKM6ZoThnhuKcGYpzZijOmaF4PUMxAHR44cXPHz773Oc0cC+8+FI8++HFz780e5zG6nMvfj6e/fDi51+ePU5j9bkX5nf//EvuPnrPv/BiPPvh8y99YfY4jdVzn5vf/aWX3X30nnv+hXj2w8tf+OLscRqrZyt35zyGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAHR49vkXDk8986wG7rnnX4xnPzz/uRdnj9NYled29PwLn589TmP12ec+F89++NyL7j56zzz7fDz74YUXX5o9TmNVu/uLn3f30fvMZ5+LZz98/qWXZ4/TeLGOoRgAOnzwI584/M4jH9DA/cFHHotnP3zoY4/PHqex+sCHPx7PfvjIJ56cPU5j9fuPfiye/fCxxz45e5zG6nc/+JF49sMnnvj07HEaq0fe/6F49sPjn3xq9jiN1Xt+79F49sOTn/7M7HEaq4ff98F4ds5kKAaADobi8TMU58xQnDNDcc4MxTkzFOfMUJwzQ/F6hmIA6GAoHj9Dcc4MxTkzFOfMUJwzQ3HODMU5MxSvZygGgA6G4vEzFOfMUJwzQ3HODMU5MxTnzFCcM0PxeoZiAOhgKB4/Q3HODMU5MxTnzFCcM0NxzgzFOTMUr2coBoAOhuLxMxTnzFCcM0NxzgzFOTMU58xQnDND8XqGYgDoYCgeP0NxzgzFOTMU58xQnDNDcc4MxTkzFK9nKAaADobi8TMU58xQnDNDcc4MxTkzFOfMUJwzQ/F6hmIA6GAoHj9Dcc4MxTkzFOfMUJwzQ3HODMU5MxSvZygGgA6G4vEzFOfMUJwzQ3HODMU5MxTnzFCcM0PxeoZiAOhgKB4/Q3HODMU5MxTnzFCcM0NxzgzFOTMUr2coBoAOhuLxMxTnzFCcM0NxzgzFOTMU58xQnDND8XqGYgDoYCgeP0NxzgzFOTMU58xQnDNDcc4MxTkzFK9nKAaADobi8TMU58xQnDNDcc4MxTkzFOfMUJwzQ/F6hmIA6GAoHj9Dcc4MxTkzFOfMUJwzQ3HODMU5MxSvZygGgA6G4vEzFOfMUJwzQ3HODMU5MxTnzFCcM0PxeoZiAOhgKB4/Q3HODMU5MxTnzFCcM0NxzgzFOTMUr2coBoAOhuLxMxTnzFCcM0NxzgzFOTMU58xQnDND8XqGYgDoYCgeP0NxzgzFOTMU58xQnDNDcc4MxTkzFK9nKAaADobi8TMU58xQnDNDcc4MxTkzFOfMUJwzQ/F6hmIA6GAoHj9Dcc4MxTkzFOfMUJwzQ3HODMU5MxSvZygGgA6G4vEzFOfMUJwzQ3HODMU5MxTnzFCcM0PxeoZiAOhgKB4/Q3HODMU5MxTnzFCcM0NxzgzFOTMUr2coBoAOhuLxMxTnzFCcM0NxzgzFOTMU58xQnDND8XqGYgDoYCgeP0NxzgzFOTMU58xQnDNDcc4MxTkzFK9nKAaG9eY3v/nw0EMPVXv9618fH36n4n/fceyToXj8DMU5MxTnzFCcM0NxzgzFOTMU58xQvJ7FAhhaHGmvMdi+853vnP13TZXxmn0yFI+foThnhuKcGYpzZijOmaE4Z4binBmK17u/pQRgA27xU8VL/51lRGafDMXjZyjOmaE4Z4binBmKc2YozpmhOGeG4vUMxcDw4lh73H2I/x33/d/HdRiKx89QnDNDcc4MxTkzFOfMUJwzQ3HODMXrWS2A4ZWfHI6D7dRd/yqIpV874aeJ981QvL3e+rNve03xPz83Q3HODMX7KD7f1z7nDcX7L3499HxdGIpzZijef/F53vN8NxTvv3jvnrsbitczFAPDW/pVEHf96yeW/rvYN0Px7SsvDL/jjW+aPbdiX/01r3tQeWz8HEsZivdV+XqYbn1cfNypDMXb7L6f74bifdf62jj1dWAo3l/xe3zp1FAUMxTvu0uf74bifXfp3Q3F61kugBTiHzDH3aX4uafu+ieXuT5D8e2aBsH4vOrpnDeUhuL9VG4abz3dOz72VIbibdW6bU/nPN8Nxfsu3n7q1IBgKN5XrT/7e5/nU4bifRfv3/t8NxTvu3jv3rsbite724UEYKOu8esn/NqJsRmKb9Oa0ei4ngHRULyPlr4meu4cMxRvp9YodG49XweG4v229HVyakAwFO+npTsbivO09HVw6vluKN5va+5uKF7PUAyksDTi3tWvn/BrJ8ZmKL5+rf+Ts0s7NR4Zirff0kjcc+NahuJttPSm8JJOfS0YivfZqT8XTg0IhuJ9dOr7gaE4R2uf74bifbb27obi9awXQBpLP1V8F+LnnLqrn1jmtgzF1+3UIFheJJbK46bK///Um8ul8chQvO1OvXE4dd9WhuLb13Pb6Tl/3Knn+9KbSUPx/jr158Kpm5cMxduu91dNGYrH7y6e74bi/XUXdzcUr3c36wjADiz9xO/aMXfpJ5b92okxGIqvW3weTZU3kD1vEJeGp9bHG4q3Wc+bhuOvj/jxpzIU37al+/Y+35eGpfjYKUPx/lq689SpAcFQvN167jvV833hOEPx/ur5ejj1fDcU76+7uLuheD1DMZBK/INmau2vn1gaoRmDofh6tUbec0fA1gDV+jyG4u00/YR4vN2pWrddylB821p3PveWrTeXrTeUhuJ91bpvrHXvKUPxtur5vwyoZSgeu96viVPPd0PxvrqruxuK17NgAKnc16+fiJ9rau1PKrMdhuLrFZ9HpXNHo6nWCBUfVzIU377WuB8rXw+1NxSXfJ0Yim9bvOGldzz3cxmK91Pt+0Lt+V86NSAYirdR636x1p/hhuJxu8vnu6F4P93l3Q3F661bRgB2Zuknfy/9qWK/diIHQ/F1qr1QLJ37pvC4+Llan89QfPtao8Bx0/BXewPRGgWXMhTfrrt+vre+fuLjSobi/VR7rpevkdpfPzUgGIq3UbxbrXLju/oeYSjeT7Xn9aXPd0Pxfqrd99K7G4rXMxQD6cQ/bI67xNL4zDgMxdep9aYwPu6c4ucq1d5kGopvX2voq92t9ubBULyvWveOj+ut9f2j9nw3FO+j2vN8GgmW/rNWhuJtFO923PH38XOe00sZivfR0nN66T9rZSjeR0u3XfrPWhmK17NiAOksDbuX/KqI+Dmm/DTxWAzF16n1pjA+7pzi5yrV3mQaim9fazisvSmovXkwFO+r2r1rtz6n+Plan9NQvP1qfx4cP8dr3wNqtz7OULyN4t2m28Y/m2tfA6X4uFMZirdf7dZrn++G4u13H3c3FK9nKAZSin/gTJ376yeWfu0EYzEU77f43CzV3mQaim/f8XBY/t+1O03V3jwYivdV7Yan3gCeKn6+1uc0FG+/eMfSqf+rgtqtjzMUb6PpXuWGSzerjUjx66AnQ/H2izeOd77k+W4o3n7xpndxd0PxepYMIKW7+pfatX46+ZKfTGbbDMX7rPUmMz6uZCjeRr0DQO3Ng6FY8WuiVHtTaSjedrXnd7xjz2NihuJt1Pt9vvVneO/HTxmKt13Pc7nnMTFD8bbruWnPY2KG4vXOW0QABtEaeEvnjLzxY6f82onxGIr32fFPqB4XH1cyFO+r2psHQ3HuzhmVDMXbrXbH2nO79j3g1IBgKN5Xta+F1nN6KUPxdqvd+K6e74bi7XafdzcUr2coBtKKf+hM9f76Cb92IhdD8T6Lz81S6w2moXhf1d481N5knMpQPE61N56t57yheLvF+5XiY0q17wGnBgRD8b465zm9lKF4u8Xb3uXz3VC83eIt7/LuhuL1rBlAWmt//UTrp5LP+Ylk9sNQvL9qLy6XhkRD8b46976tDMXjdM7/BYGheJvVntetUeCcx04ZiveVoXjsznkOn/PYKUPxNjvnluc8dspQvF7fGgIwoKWfCO4Ze+PHTPm1E2MyFO+n1hvL0tKbS0Pxvqq9eTAU5631vG+9oTQUb6/a0L/0nK59D2jde8pQvK9az+ulP8trGYq31zWe74bi7XWNuxuK1zMUA6m1fqr41K+fWBqZGZOheFuVN4nlhWIsPh+nygvNU28sDcX7qvbmYenNRitD8RjVvh5Kree9oXh7xduV4mOOq9381IBgKN5XhuJxize9j+e7oXh7xRvex90NxetZNIDUWr8+orQkPnaq5yeR2SdD8bZaGoVjp15QThmK91XtzYOhOGetMWnpuW8o3la15/OpMbD2MUs3LxmK91XruX3qayNmKN5WtefuqZvWPubU891QvK1qN7yPuxuK11teQgASiH/4TLV+qnjpp4n92olxGYq3Vc9QfO5oaCjeV7U3D+fevGQo3netIakUH3ucoXg71b6f9zyXa98DTg0IhuJ91Xp+nxqXYobi7XTN57uheDtd8+6G4vUMxUB6rV8/Uaq59KeQ2TdD8baqveBsVV5k9rypNBTvq9qbh543HTFD8b6rfR2UTj3nDcXbqDUExsfVqt3+1IBgKN5Xra+PU8/vmKF4G7XuGR9X65Lnu6F4G1377obi9awaQHpLw2/tV0nExyw9lnEYirfVOUPx1KkR0VC8r2pvHk7duJaheL/VvgZKPSOSoXgb1W7Yc7/Wx54aEAzF+6o1MPV+jUwZirdR7Tnbe8vax556vhuKt1Htdvd5d0PxeoZigIXxN/76iaVfO8HYDMXbr7zoLC8eay8qp5aGREPxvqrdeem+rQzF+6x2/3O+BgzFt6/2D/x671eqfQ2cGhAMxfvKUDxOt3i+G4pv3y3ubihez7IBcOKninse56eJx2co3l+1F5el1gtUQ/G+qt23ddulDMX7q3b7c+9vKL5ttQHwnPuVal8HpwYEQ/G+qn2dlAzF+6p2x2s83w3Ft+1WdzcUr2coBvhD8Q+hqeMROP5nU/4lduMzFO+z2ovUUu1FpqF4X9XePJz7BqRkKN5PrefzJbc3FN+22vP33PGv9jlq39uPMxTvq9Zz/tyvFUPxbas9V8+9Ye1znHq+G4pvW+1m17i7oXg9QzHAH2r9S+2mXz/h107kZijeb7UXmaX4OEPxvqrd9dyxsGQo3ketwejSuxuKb9ddPXdrn+fUgGAo3let5/25Y5Oh+HbVnqfXer4bim9X7V7XuruheD3rBsAfav1aidLSf+7XTuRgKN538Xlbe6FpKN5XtTcPl7wJMRRvv9ZYdOnNS4bi21S75aU3rH0PiN/XY4bifVX7eikZivdR7X7XfL4bim/Tre9uKF7PUAxwJP5BNNUaiUt+7UQOhuJ91/NC01C8r2o3veSNiKF429XecE6dOxYdZyi+TfGGa+5Y+x4Qv6/HDMX7qvX8P/drxlB8m+LdLrnd1CXPd0PxbYp3uvbdDcXrGYoBjiz9+on416bIwVC872ovNOOoaCjeVz037clQvN1aI1Hp0jedU4bi61fe3Mc7luds+euX1PoeEB9Xmv43GIr3Vet7wLnPf0Px9SvPu3i31vOzp0ue74bi61f+/vfeqadL7m4oXs/CAXBk6fcQ1/JrJ/IwFN9/5UVefI5dMvzVar3QPH6MoXhf9dy0J0PxNqt9P5g6dySqZSi+fks3ve+m/w2G4n1lKN5vW3i+G4qv3xbubihez1AMECz99HDMr53Iw1B8/9VeXF4y/NXqGRUNxfuq56Y9GYq3V+22U+cORK0Mxdev9j3+Wk3/GwzF+8pQvN+28Hw3FF+/LdzdULyeoRggWPp9xDHyMBTff603hPFxlxQ/Z+n4/0ytZCjeV7Ux0VC8/2p3nW577ji0lKH4+m1hQDAU76vW64JzvxcYiq/fFp7vhuLrt4W7G4rXs3IAVMQ/eGr5tRO5GIqvU3yeleKge269bzQNxfuqNigaivdd7aaX3vVUhuLrt4UBwVC8r3r//D6Vofj6beH5bii+flu4u6F4PUMxQEXPr5/waydyMRRfp9ZQFB93Tq0XrfGNpqF4X9W+Vi4ZFA3F26h2z0tv2pOheP/VvmZO/YNFQ/G+MhRr6pLnu6F4/11yd0PxeoZigIpTv37CTxPnYyi+Tq1R99KxqPUms/b5DMX7qvbmoXbXUxmKb1t5jtZueek9ezMU77/a182pAcFQvK9af4YbivN1yfPdULz/Lrm7oXg9QzFAQ/xD6Tg/TZyPofh61V4UlspfP+fNYesNZqn2eQzF+6r2dXLJsGgovl1Lz9FTbwTXZijef7XvAae+bgzF+6r1PaL2Z/hShuL9d8nz3VC8/y65u6F4PUMxQEP8Q+k48jEUX6/WG8Op8qKx9SKxfGzrp5KPPz5+XMlQvK9qbx5at13KUHybep7nd93xf7+heP+Vm8avm9afDVOG4n3V+j5hKM7XJc93Q/H+u+TuhuL1rB0AFeUnhuMfSlN+7UROhuLr1npzuLY4Fh1nKN5XtTcPS/dtZSi+Taf+gc5dF782DMX7r/Y94NSAYCjeV63XAobifF3yfDcU779L7m4oXs9QDFCx9C+z82sncjIUX7/WG8RLi0NRzFC8r2pvHk7duJah+DYZirW22veAUwOCoXhftV4HGIrzdcnz3VC8/y65u6F4PUMxQLD008QlcjIU367ai8Rz63lTaSjeV7WvizgG9mQovk2GYq2t9j3g1IBgKN5XhmJNXfJ8NxTvv0vubihez+IBEJRfLRH/QJryayfyMhTfvvLCsPaCsVV5/DlvJg3F+6r2tRDHwJ4MxbfJUKy11b4HnBoQDMX7ylCsqUue74bi/XfJ3Q3F6xmKAYL4h9Fxfu1EXobibTX9S+ti5a+f+wZyylCcM0NxzgzFOTMU58xQnDNDcc4MxesZigGO+GliWgzF42cozpmhOGeG4pwZinNmKM6ZoThnhuL1DMUAf+jU7yb208S5GYrHz1CcM0NxzgzFOTMU58xQnDNDcc4MxesZigFO/CRx6fWvf338EJIxFI+foThnhuKcGYpzZijOmaE4Z4binBmK1zMUA2mUnwgug/BxZQCOo3AtP02MoXj8DMU5MxTnzFCcM0NxzgzFOTMU58xQvJ6hGEjj1K+WaOV3E1MYisfPUJwzQ3HODMU5MxTnzFCcM0NxzgzF6xmKgTQuGYr9ygkmhuLxMxTnzFCcM0NxzgzFOTMU58xQnDND8XqGYiCNc4diIzHHDMXjZyjOmaE4Z4binBmKc2YozpmhOGeG4vUMxUAa5wzFft0EkaF4/AzFOTMU58xQnDNDcc4MxTkzFOfMULyeoRhIY2koLj89XMZh/9I6WgzF42cozpmhOGeG4pwZinNmKM6ZoThnhuL1DMUA0MFQPH6G4pwZinNmKM6ZoThnhuKcGYpzZihez1AMAB0MxeNnKM6ZoThnhuKcGYpzZijOmaE4Z4bi9QzFANDBUDx+huKcGYpzZijOmaE4Z4binBmKc2YoXs9QDAAdDMXjZyjOmaE4Z4binBmKc2YozpmhOGeG4vUMxQDQwVA8fobinBmKc2YozpmhOGeG4pwZinNmKF7PUAwAHf7go489eOGhcXv0o4/Hsx8+/PEnZo/TWJV/CBR99LFPzh6nsXr/h+b/gODjj39q9jiN1e/9wUfj2Q+PPfnU7HEaq/d94MPx7IcnPvX07HEaq/f+/vwfEHzyqWdmj9NYvet3/yCenTMZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAABwF778pcMXHnnH4YVf/LHD8//kew7P/sRfPHzmh7/18NR3v+7w6Tf+n3UHlb+X5e9p+Xtb/h6Xv9fl73n5ew8AwDqGYgAAuNArLz57ePm3f/Hw3M+86fDUm75qNmzqOpW/9+UG5RblJtf0xQ/8m8MLv/T3Ds+/7fsOz/6Dbz888+Y/c3jqe79+9r9Rl1f+fpa/r+Xvb/n7XP5+l7/vAMDdMhQDAMC5Xnnl8OKv/PThqe/66tmopdtWblJuU250H1790hcPX3j32x8Mlgbh2/bU93z9gzuUe5S7AADrGIoBAOAML/3Gzx+e/oFvnI1W2lblRuVWd+mlX/+5w9Pf/w2z/y7dvnKXch8A4HKGYgAA6PDlZ548fPYtb5gNVNp25Wbldmu8/PC/PDzz5m+bfW5tr3Knci8A4HyGYgDo8Pinnj48+tHHNHBPfOrpePbDk5/+zOxxGqvHPvlUPPvh55/+pcP3ffxvvaaf/I3vPHzk+752NkppH5XblRtO9/xvn/zZePbDv3jm/zu7+9949P99+K2//82zz6ftV+5W7nd8zx9/8q3x7Ienn3l29n1BY/XRx+b/oOgzn31u9jiN1Uc+Pr/7M89+bvY4jdWHPvZ4PDtnMhQDQIcPfuQTh9955AMauD/4yGPx7A9ebMbHaaw+8OGPx7MffuSxtxxe/7t/4Sv9yC/8x7MRSvus3LLc9C9/6Hvi2Q8/+sRPvebu/89//Z8eHv5Bv4N6z5X7lTtON33Do98Zz374xBOfnn1f0Fg98v4PxbMfHv/kU7PHaaze83uPxrM/+AGA+DiN1cPv+2A8O2cyFANAB0Px+BmKc3ZqKD53JH78Tf/B4Zd//OsOP/Qv/pPDG3/1Ww7/+W/+mcO3vOvPv2aA1OWVv5fl72n5e1v+Hv/y3/u6B3/P4x2WKjc9NRR/7y9/8+ETf+X/MvtY7a9yx3LPcldDcc4MxTkzFOfMULyeoRgAOhiKx89QnLOlofiNv/Its9Gp1W/+yNcefvpnv+HwTe/7z2bjpu638vf8p//Rn3xwg3iXVn/71/7LePavDMVlVIyPP9Wv/p0/dvjb//ybDt/59j91eMM7//ThTz/852b/O3V55e9n+fta/v6Wv8/l73e8wanKXQ3FOTMU58xQnDND8XqGYgDoYCgeP0NxzlpD8f/9t77t8IHv/SOzsSn2yH/zRx/8ZGsctnSbyi3KTeKdYh/6618z+xfclaG4/JqC3p8kfvcP/NHDP/2pP+4nxm9U+fte/v6XO8Tb1Cp3/ev/Zv4PCAzF42cozpmhOGeG4vUMxQDQwVA8fobinLWG4l9/8+tmQ1Os/IqJb36PkXBrlZv8Tz/+dbN7xT77lje85u5v+ejf7/qdxI/+tf/w8KP/7Btn/726XT/6z77pwV3irWKP/NAfO7z68ouvubuhePwMxTkzFOfMULyeoRgAOhiKx89QnLPaUPwvfvkvzwam2M/8zJ+YjVXaVj/z3/+J2d1iL/3Gz3/l7g//xH86+89jv/a3Xnf487/9Z2f/Xbp9f/7f/tkH94k3iz33D9/4mue7oXj8DMU5MxTnzFC8nqEYADoYisfPUJyz2VD8yiuHj3zf8u8/LQNkHKm0zcqgH+933NM/8I0Pbv7yw/9y9p/Ffv6/+7/OPr+2V7lTvF2s3HtiKB4/Q3HODMU5MxSvZygGgA6G4vEzFOcsDsUv/spPz0al48qvNIjDlLZd+RUh8Y7HlZs/8+Zvm/3144zE++rUWFzuPTEUj5+hOGeG4pwZitczFANAB0Px+BmKc3Y8FL/y4rOHp76r/Ttqy78kze8k3l/lZov/grs3Lf9LC8uvM4ifU9vv1K+heOnXf+7B895QPH6G4pwZinNmKF7PUAwAHQzF42coztnxUPzyb//ibEw67of+xX8yG6O0j8rt4j17Kv+CNL+TeJ+Vuy39C+6e/v5vOLz6pS8aihNkKM6ZoThnhuL1DMUA0MFQPH6G4pwdD8XP/cybZmPS1G/+yNfOhijtq3LDeNdT/eg/+8bZ59F+KveLNz3uC+9+u6E4QYbinBmKc2YoXs9QDAAdDMXjZyjO2VeG4i9/6fDUm75qNiRN/fQ/+pOzEUr76qd/9htmd13q3T/wR2efQ/ur3DHedur5t32foThBhuKcGYpzZihez1AMAB0MxeNnKM7ZNBR/4ZF3zEakqcff9B8cvul9/9lsgNK+Kjcst4z3bfVPf+qPzz6H9le5Y7zt1FPf+/WG4gQZinNmKM6ZoXg9QzEAdDAUj5+hOGfTUPzCL/7YbESa+uW/93Wz8Un77Jd//Otm9231Le/yLy4coXLHeNvjHv/NfzX7vqCxMhTnzFCcM0PxeoZiAOhgKB4/Q3HOpqH4+X/yPbMBacq/xG6cev+ldr/6d/7Y7GO138o9442nnvy5vzn7vqCxMhTnzFCcM0PxeoZiAOhgKB4/Q3HOpqH42Z/4i7MBaeqNv/ots+FJ+6zcMt631t/+5980+1jtt3LPeOOpJ9/6V2bfFzRWhuKcGYpzZihez1AMAB0MxeNnKM7ZNBR/5oe/dTYgTf3nv/lnZsOT9lm5Zbxvre98+5+afaz2W7lnvPHUJ//uG2bfFzRWhuKcGYpzZihez1AMAB0MxeNnKM7ZNBQ/9d2vmw1IU35X7Tid+n21U29455+efaz2W7lnvPHUp37oW2ffFzRWhuKcGYpzZihez1AMAB0MxeNnKM7ZNBTH8ei4ODpp38X71vrTD/+52cdpv5V7xht/pb/2H82+L2isDMU5MxTnzFC8nqEYADoYisfPUJwzQ3G+4n1rxY/R/os3Pi5+X9BYGYpzZijOmaF4PUMxAHQwFI+foThnhuJ8xfvWih+j/RdvfFz8vqCxMhTnzFCcM0PxeoZiAOhgKB4/Q3HODMX5ivetFT9G+y/e+Lj4fUFjZSjOmaE4Z4bi9QzFANDBUDx+huKcGYrzFe9bK36M9l+88XHx+4LGylCcM0NxzgzF6xmKAaCDoXj8DMU5MxTnK963VvwY7b944+Pi9wWNlaE4Z4binBmK1zMUA0AHQ/H4GYpzZijOV7xvrfgx2n/xxsfF7wsaK0NxzgzFOTMUr2coBoAOhuLxMxTnzFCcr3jfWvFjtP/ijY+L3xc0VobinBmKc2YoXs9QDAAdDMXjZyjOmaE4X/G+teLHaP/FGx8Xvy9orAzFOTMU58xQvJ6hGAA6GIrHz1CcM0NxvuJ9a8WP0f6LNz4ufl/QWBmKc2YozpmheD1DMQB0MBSPn6E4Z4bifMX71oofo/0Xb3xc/L6gsTIU58xQnDND8XqGYgDoYCjeT2/92bdVi4+LGYr30bl3PZWheB/9kX/8DbPiY3qL960VP0bbK349nPq6iDc+Ln5f0O2L3+vXfL83FO+nu7p5yVCcM0PxeoZiAOhgKN5PDz30ULX4uJiheJuVN4rf8cY3ze4Z++qved2DymPj51jKULzNyuD37/3X//7szrF/52v/3QeVx8bP0Sret1b8GG2r1tfG0tdBvPFx8fuCrl/53l2+h8ebxqbv8+eMiIbi7XafdzcU76/ptdxx59y8ZChez1AMAB0MxftoaVCMj40ZirdVeWPQ8+ax1jlvLAzF26oMxPGevZXBeOknSqfifWvFj9G2irefMhTvr0u/z5d6/8GgoXh7Lb1eO1Xv3Q3F+6r1vaD39dyUoXg9QzEAdDAUb7/yQjK+uDwuPj5mKN5Op27ZW3nTET93zFC8ncrQG294SeXzxM99XLxvrfgx2k5LXyeG4v10V9/nS6eGJEPxtmoNgud26u6G4v209DVx6s4xQ/F6hmIA6GAo3n7xhWUsPj5mKN5Ga37KqNapsdhQvI2Wxr9LWhqL431rxY/RNmr9yokpQ/E+usuReGppTDIUb6d4t7Ut3d1QvI+WRuJTN65lKF7PUAwAHQzF2+7Ui8xS/JiYofj2nRoPyog8/Y7CqZ7fb7g0FhuKb9+p8a9UHhM7NS63RsN431rxY3T7en4tSevmpXjj4+L3Bd1v8W6x8j17+n5/XHxcLP73TBmKt9HSn9XHN49/xsfHxlpDoqF425W7LX1NnLpvK0PxeoZiAOhgKN5up8bFqfhxMUPx7Ys3m+r9ncNLbyhbH28ovm1L41/v7xxeGozjY0vxvrXix+j2Ld15ylC8/ZaGoZ7fPbv0Z37r4w3Ft2/pz+fW3Y5bGhVb/zDYULzdWres1Xr91spQvJ6hGAA6GIq32dIbxlj82Jih+La13kS23gC2an1NtD6Pofi2tX6aeOlXR9RqjYi14TDet1b8GN221n1jtXtPxRsfF78v6P6KN5s6ZwxqfZ8vxceWDMW3L97pkruXWgNj7fMYirdVz/8FWK3abZcyFK9nKAaADobibVZ7wVn7a6X4sTFD8W2L95puGR/XU2t0jo8rGYpvW7xR6dyR+NzPFe9bK36Mblftp85bw7GheNu1vjefOwSd+7kMxbftnFv1FD9PqfZTyYbibdR6XR67q68TQ/F6hmIA6GAo3l61nyiafkVB/Oul+PExQ/Htat3s3DcHx8XP1fp8huLbVRsASz2/bqJW66eT4+PifWvFj9Htqo3C5Wuk9tcNxduuNhhd+g8ES/FzlWqDoaH4tt313WuDYu3zGYq3UbxVrfL67K5eCxqK1zMUA0AHQ/G2ar2YPPWfLWUovl2X3myp+LlKtTcbhuLb1Tvs9tY7PMf71oqfW7dpaQxe+s9qxRsfF78v6H6K9yrVht3eegdIQ/Ftq91pzd0Nxfsq3qp1t9Zrwdprt6UMxesZigGgg6F4W9XedEwvJFsvNOPniBmKb9elN1sqfq7jr5HjDMW3qzYULw19PcXPV/uc8b614ufV9asN/8e/SsRQvL/ivUrxMedUGwxrn9NQfNtqr9kMxXmKt5ruFV+TtV4LxsedylC8nqEYADoYirfTqTcIrRea8fPEDMVjFe/ferNhKL5d5w59PcXPV/uc8b614ufV9Yt3LB3/dPi5Xz/xxsfF7wu6+y79s3mp2uuB2uc0FI9V7e6G4u12fKOlf0DQ+h5Re+22lKF4PUMxAHQwFG+j1ovIcx9Ty1A8Tud8DRiKxyrevBTHw3jfWvHz6rr1jMA9jzku3vi4+H1B+6g2GJbi4wzFY9X7E8qG4m3UO/S2Xrv1fvyUoXg9QzEAdDAUb6Pam4P4ArL1QjN+rpiheJx6x4OSoXicar+qoOR3FO+r2h2Pf+XElKFYtdcEtZ8sNRSPVbx5yVC8/1qv3+Pr/FMZitczFANAB0Px7auNf7U3Bq0XmvFxMUPxOMXbL73RMBSPU21gLBmK91W8Xyk+pmQolqE4X7XXgrWblwzF+6r1+r31+q2VoXg9QzEAdDAU37bWi8f4uHMfe5yheIx6h4MpQ/E41f7leKX4uHjfWvFjdJ3OGX/PeWwp3vi4+H1B+yjev1T7B8iG4jFqvb5rDYmG4n117n1bGYrXMxQDQAdD8W2LLxqXXji2XmjGx8UMxfuudfelr5WSoXiMWj9NXBsO431rxY/R/Vcb+mu/cmLKUJy72j8ULMXHlQzF+69176V/EGwo3let13FLr+FqGYrXMxQDQAdD8e2q/Z8Z1n5iaKr1QjM+LmYo3n7ltuX2sXjrqfIG8tQbDEPxGNVGw1L8tROleN9a8WN0/8XbleJjjqvd3FCco9af863R0FC8j+Kf7aXWQFxaei1YMhTvq9bz+tTruJiheD1DMQB0MBTfptqLxtYbwaWPKcXHxQzF229pFI6degM5ZSjef+f8NHEp3rdW/Bjdb7XRtzbyn/qY1s1L8cbHxe8L2nat8TA+bspQvI/iPVv1/EPgkqF4X7Vev/fc+jhD8XqGYgDoYCi+TfHFYs8LxtYLzfi4mKF4+/UMxaf+QULMULzvWiNxKT52Kt63VvwY3V/n/sqJKUNxzloj8dI/HDQU76N401qnXgMeZyjeV63X7+fcvGQoXs9QDAAdDMXXr/ZmcOmN4FTrhWZ8XMxQvP16huKp3p84MhTvu9pYWFr6adR431rxY3Q/tYb++Lhatdsbiseu9ef7qX9AaCjeR/GuS/W8HjQU76vW87vntdxxhuL1DMUA0MFQfN1qLxZPvRFc+thSfFzMULz9zhmKp0593RiK91ttKCwtjcSleN9a8WN0P9VueOp+Sx9rKB631p/tp77HlwzF+yjetqelEdFQvK9az/GlG9cyFK9nKAaADobi6xZfJJ7zQrH1QjM+LmYo3mfl3qf+hTdLQ4KheJ/VRsJSz68siPetFT9Gd9+lv3JiqvY1YCges9af66We1waG4n1Wbjv9GR/v3vM1YCjeV63neeu+rQzF6xmKAaCDofh61Qa/c14ktl5oxsfFDMVjVPv6KbXGYkPx/qoNhKXekTHet1b8GN1ttV850Xu/qdrXgaF4vFp/ppd6XxsYisfo3K8FQ/G+at23dtulDMXrGYoBoIOh+DrVXiS2Br5Wtc9Rio+LGYrHqfU1UPudhobi/VQbF6fOGRnjfWvFj9HdVht5e3/lxNLnMBSPVesf/JXOGY8MxWPV+rqIjzMU76vWa7dznuslQ/F6hmIA6GAovv/u6gVi6/PEx8UMxWPV+0bSULyP7mokLsX71oofo7urNvCee8PW5zEUj1Pre3jp3NcFhuKxar3Oi/8w2FC8r1p3Pff5bihez1AMAB0Mxfdf7U3huS8OS60XmvFxMUPxeMWvgVJ8I2ko3n53ORKX4n1rxY/R3VS75SU3LBmKx632emDqktcFhuLxav3e4uPHGIr3Vev1+7nPeUPxeoZiAOhgKL7fai/4z/2VE1OtF5rxcTFD8XjVxgZD8b6qDYtT5/6qgql431rxY3Q3xRuuuaOheMxq37dLl74mKBmKx6vntZ6heF+1bmoovj5DMQB0MBTfb/FFYakMepcWP1fr8x2/+DQUj1dtcIhjg6F4u93HSFyK960VP0brKyNuvGMZe8tfv6TaUNz6fOW/P974uPi9Q7ep9j27FL9vn5uheLx6RkVD8b7quWlPhuL1DMUA0MFQfL/FF4XXqozF0/8GQ/Ftqg37a0eBqdroED+3oXiblXEv3m5qzUhcivetFT9G61u66X1X/vvjjY+L3zt03coQVPt+XYrfsy/JUHy74j1L5w5/tXpGRUPxvuq5aU+G4vUMxQDQwVB8v8UXhdfKUHz7DMWK1X5SdGrtSFyK960VP0brMxSrVmscKsXv15dmKL5d8aalc4e/Wq2vG0Pxfuu5aU+G4vUMxQDQwVB8v8UXhdfKUHz7Wm8M4uMuKX7OePOSoXhbtUbi8tfvYiQuxfvWih+j9RmKFWt9/y/F79VrMhTfrto/sL2L29b+IXPp+DGG4n3V+n5gKL4+QzEAdDAU32/xReG1MhRvo3iXeJtL6n3DYSjeTksjcXzsmuJ9a8WP0foMxTqu9T26FL9Pr81QfLt6Bt1Lqg3Q8SfQDcX7qvU94dzvB4bi9QzFANDBULyfWi804+NihuLbVXvD13OzpVpvTuMbDkPxNrrWSFyK960VP0bbq/Y1M/2L62rFGx8Xv3/ofmv9OV37Hn0XGYpvV+vWa/9hcPx8JUPxvmt9rZz7PcFQvJ6hGAA6GIr3U+uFZnxczFB8u1qjbnzT11vra6D2+QzFt638Oona4Fe6j5G4FO9bK36Mtlft68ZQvP1a3+9L5w5CvRmKb1u889p7t/7hcvx8huJ91XrtFu96KkPxeoZiAOhgKN5PrRea8XExQ/Fta73xK3/9nDcJrfu33mwYim9XGYnjjaaWBr+1xfvWih+j7WUo3l939X3+3AzFt23pz+Vzf7J46WsoPtZQvK9aXyfnfm8wFK9nKAaADobi/dR6oRkfFzMU37bW3abKm8DWG8rysUs/pTZ9fPy4kqH4Ni2NxKUyAt510393vG+t+L9X26vcNH7dGIq3W2vgmyr/+V12PC4Zim9fuUm8+XHlz/DWIFj+s1MfX/tYQ/G+ar0OrN12KUPxeoZiAOhgKN5PrRea8XExQ/Hta91ubeUNZvzvmjIU36Zr/4vNDMXjZSjeV/FW952heHudGnsvrTUkGor3Ves1YOu+rQzF6xmKAaCDoXg/tV5oxsfFDMXbqHW/S1saiUuG4ttkKNbaDMX7Kt7qvjMUb7O7HouXRkRD8b5qvf5bunEtQ/F6hmIA6GAo3k+tF5rxcTFD8ba6izeTPW8uDMW3yVCstRmK91W81X1nKN5urddp53TqHwKXDMX7qvV10fNa7jhD8XqGYgDoYCjeT60XmvFxMUPxNuv53YTHLf2ew1qG4ttkKNbaDMX7Kt7qvjMUb79yo1P/foHjymuB1r+roJaheF+1Xr+f85quZChez1AMAB0MxeNnKN5+05vKWPnr576RmDIU5yvet1b8GO2/eOPj4vcFjZWhePtNf47HP9/P/Ye/xxmKc2YoXs9QDAAdDMXjZyjOmaE4X/G+teLHaP/FGx8Xvy9orAzFOTMU58xQvJ6hGAA6GIrHz1CcM0NxvuJ9a8WP0f6LNz4ufl/QWBmKc2YozpmheD1DMQB0MBSPn6E4Z4bifMX71oofo/0Xb3xc/L6gsTIU58xQnDND8XqGYgDoYCgeP0NxzgzF+Yr3rRU/Rvsv3vi4+H1BY2UozpmhOGeG4vUMxQDQwVA8fobinBmK8xXvWyt+jPZfvPFx8fuCxspQnDNDcc4MxesZigGgg6F4/AzFOTMU5yvet1b8GO2/eOPj4vcFjZWhOGeG4pwZitczFANAB0Px+BmKc2Yozle8b634Mdp/8cbHxe8LGitDcc4MxTkzFK9nKAaADobi8TMU58xQnK9431rxY7T/4o2Pi98XNFaG4pwZinNmKF7PUAwAHQzF42cozpmhOF/xvrXix2j/xRsfF78vaKwMxTkzFOfMULyeoRgAOhiKx89QnDNDcb7ifWvFj9H+izc+Ln5f0FgZinNmKM6ZoXg9QzEAdDAUj5+hOGeG4nzF+9aKH6P9F298XPy+oLEyFOfMUJwzQ/F6hmIA6GAoHj9Dcc4MxfmK960VP0b7L974uPh9QWNlKM6ZoThnhuL1DMUA0MFQPH6G4pwZivMV71srfoz2X7zxcfH7gsbKUJwzQ3HODMXrGYoBoIOhePwMxTkzFOcr3rdW/Bjtv3jj4+L3BY2VoThnhuKcGYrXMxQDQIcnPv304cMff0IDV948RJ986pnZ4zRWT3zq6Qe3jsPRcX/jEz+mgYr3rRU/Rvsv3vi4+H1BY/Xxxz8Z/3g/PPPs87PHaaw++tj87p997nOzx2m8WMdQDABAenE4Oo6xxPvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGACC9OBwZkcYV71uL8cQbuzcAzBmKAQBILw5HRqRxxfvWYjzxxu4NAHOGYgAA0ovDkRFpXPG+tRhPvLF7A8CcoRgAgPTicGREGle8by3GE2/s3gAwZygGgA6vvPLK4ctf1siVG0fuPn7T3eNwdFz8GO27eN9a8WO0/+KN3TtRtT/fX311/jiNVeXur7p7iljHUAwAHT74kU8cfueRD2jg/uAjj8WzHz70scdnj9NYfeDDH39w6zgcHRc/Rvsu3rdW/Bjtv3hj987TI+//UPzj/fD4J5+aPU5j9Z7fezSe/fDkpz8ze5zG6uH3fTCenTMZigGgg6F4/AzFOTMU5yvet1b8GO2/eGP3zpOhOGeG4pwZitczFANAB0Px+BmKc2Yozle8b634Mdp/8cbunSdDcc4MxTkzFK9nKAaADobi8TMU58xQnK9431rxY7T/4o3dO0+G4pwZinNmKF7PUAwAHQzF42cozpmhOF/xvrXix2j/xRu7d54MxTkzFOfMULyeoRgAOhiKx89QnDNDcb7ifWvFj9H+izd27zwZinNmKM6ZoXg9QzEAdDAUj5+hOGeG4nzF+9aKH6P9F2/s3nkyFOfMUJwzQ/F6hmIA6GAoHj9Dcc4MxfmK960VP0b7L97YvfNkKM6ZoThnhuL1DMUA0MFQPH6G4pwZivMV71srfoz2X7yxe+fJUJwzQ3HODMXrGYoBoIOhePwMxTkzFOcr3rdW/Bjtv3hj986ToThnhuKcGYrXMxQDQAdD8fgZinNmKM5XvG+t+DHaf/HG7p0nQ3HODMU5MxSvZygGgA6G4vEzFOfMUJyveN9a8WO0/+KN3TtPhuKcGYpzZihez1AMAB0MxeNnKM6ZoThf8b614sdo/8Ubu3eeDMU5MxTnzFC8nqEYADoYisfPUJwzQ3G+4n1rxY/R/os3du88GYpzZijOmaF4PUMxAHQwFI+foThnhuJ8xfvWih+j/Rdv7N55MhTnzFCcM0PxeoZiAOhgKB4/Q3HODMX5ivetFT9G+y/e2L3zZCjOmaE4Z4bi9QzFANDBUDx+huKcGYrzFe9bK36M9l+8sXvnyVCcM0NxzgzF6xmKAaCDoXj8DMU5MxTnK963VvwY7b94Y/fOk6E4Z4binBmK1zMUA0AHQ/H4GYpzZijOV7xvrfgx2n/xxu6dJ0NxzgzFOTMUr2coBoAOhuLxMxTnzFCcr3jfWvFjtP/ijd07T4binBmKc2YoXs9QDAAdDMXjZyjOmaE4X/G+teLHaP/FG7t3ngzFOTMU58xQvJ6hGAA6GIrHz1CcM0NxvuJ9a8WP0f6LN3bvPBmKc2YozpmheD1DMQB0MBSPn6E4Z4bifMX71oofo/0Xb+zeeTIU58xQnDND8XqGYgDoYCgeP0NxzgzF+Yr3rRU/Rvsv3ti982QozpmhOGeG4vUMxQDQwVA8fobinBmK8xXvWyt+jPZfvLF758lQnDNDcc4MxesZigGgg6F4/AzFOTMU5yvet1b8GO2/eGP3zpOhOGeG4pwZitczFANAB0Px+BmKc2Yozle8b634Mdp/8cbunSdDcc4MxTkzFK9nKAaADobi8TMU58xQnK9431rxY7T/4o3dO0+G4pwZinNmKF7PUAwAHQzF42cozpmhOF/xvrXix2j/xRu7d54MxTkzFOfMULyeoRgAOhiKx89QnDNDcb7ifWvFj9H+izd27zwZinNmKM6ZoXg9QzEAdDAUb6+3/uzbXlP8z8/NUJwzQ/E+is/3Nc/5eN9a8WO0veLXw6mvi3hj986ToXj/xef5qed7yVC8/+K9e+5uKF7PUAwAHQzFt6+8MPyON77p8NBDDy321V/zugeVx8bPsZSheF+Vr4fp1sfFx53KULzN7vP5Hu9bK36MtlXra2Pp6yDe2L33UfweXzo1FMUMxfvukud7yVC87y69u6F4PUMxAHQwFN+uaRCMLxR7OucNpaF4P5WbxltP946PPZWheFu1bttT7/M93rdW/Bhtq3j7qaUBId7Yvbdf68/+nuf5cYbifRfv3/N8LxmK9128d+/dDcXrGYoBoIOh+DatGY2O6xkQDcX7aOlroufOMUPxdmqNQud26usg3rdW/Bhtp6Wvk6UBId7Yvbfd0p0NxXla+jpYer6XDMX7bc3dDcXrGYoBoIOh+Pq1/k/OLu3UeGQo3n5LI3HPjWsZirfR0pvCS1r6Woj3rRU/Rtvo1J8LSwNCvLF7b7dT3w8MxTla83wvGYr32dq7G4rXMxQDQAdD8XU7NQiWF4ml8rip8v8/9eZyaTwyFG+7U28cTt23laH49vXcdnrOH3fq+d56MxnvWyt+jG7fqT8Xlm5eijd27+3V+6umDMXjt/b5XjIU76+7uLuheD1DMQB0MBRft/iicKq8gex5g7g0PLU+3lC8zXreNBx/fcSPP5Wh+LYt3bf3+b40LMXHluJ9a8WP0e1buvPU0oAQb+ze26rnvlM93xeOMxTvr56vh6Xne8lQvL/u4u6G4vUMxQDQwVB8vVoj77kjYGuAan0eQ/F2mn5CPN7uVK3bLmUovm2tO597y9aby9obynjfWvFjdNta943V7j0Vb+zet6/n/zKglqF47Hq/Jpae7yVD8b66q7sbitczFANAB0Px9YovCEvnjkZTrREqPq5kKL59rXE/Vr4eam8oLvk6MRTftnjDS+94zueK960VP0a3q/Z9ofb8Ly0NCPHG7n27WveLtf4MNxSP210930uG4v10l3c3FK9nKAaADobi61R7oVg6903hcfFztT6fofj2tUaB46bhr/YGojYKnspQfLvu+vne+vqJj4v3rRU/Rrer9lwvXyO1v740IMQbu/ftinerVW58V98jDMX7qfa8vuT5XjIU76fafS+9u6F4PUMxAHQwFF+n1pvC+Lhzip9revEZH2covn2toa92t9qbB0PxvmrdOz6ut9b3j/h8j/etFT+3blPteT6NBEv/Wa14Y/e+XfFuxx1/H+99Tp/KULyPlp7TS/9ZK0PxPlq67dJ/1spQvJ6hGAA6GIqvU+tNYXzcOcXPVaq9yTQU377WcFh7U1B782Ao3le1e9dufU7x89U+Z7xvrfh5df1qfx4cP8dr3wPirY+LN3bv2xXvNt02/tlc+xooxcedylC8/Wq3XvN8LxmKt9993N1QvJ6hGAA6GIr3W3yBWaq9yTQU377j4bD8v2t3mqq9eTAU76vaDU+9ATxV/Hy1zxnvWyt+Xl2/eMfSqf+rgnjr4+KN3ft2TfcqN1y6WW1Eil8HPRmKt1+8cbzzuc/3kqF4+8Wb3sXdDcXrGYoBoIOheJ+13mTGx5UMxduodwCovXkwFCt+TdTeVMb71oqfV9et9vyOd+x5zHHxxu59u3q/z7f+DO/9+ClD8bbreS73PCZmKN52PTfteUzMULyeoRgAOhiK99nxT6geFx9XMhTvq9qbB0Nx7npHpXjfWvFz63rV7lh7bte+BywNCPHG7r39al8Ltef0qQzF261247t4vpcMxdvtPu9uKF7PUAwAHQzF+yy+uCy13mAaivdV7c1D7U3GqQzF41R741l7zsf71oqfW9cr3q8UH1OqfQ9YGhDijd17+/U+p09lKN5u8bZ39XwvGYq3W7zlXd7dULyeoRgAOhiK91ftxeXSkGgo3lfn3reVoXicev8vCOJ9a8WP0XWqPa9bo8A5jy3FG7v39jMUj905z+FzHjtlKN5m59zynMdOGYrXMxQDQAdD8X5qvbEsLb25NBTvq9qbB0Nx3lrP+9obynjfWvFjdP/Vhv6l53Tte0Dt3lPxxu69/VrP66U/y2sZirfXfT/fS4bi7XWNuxuK1zMUA0AHQ/G2Km8SywvFWHwxefwi9NQbS0Pxvqq9eVh6s9HKUDxGta+HUu15H+9bK36M7r94u1J8zHG1my8NCPHG7r39DMXjFm9618/3kqF4e8Ub3sfdDcXrGYoBoIOheFstjcKxUy8opwzF+6r25sFQnLPWmNR67sf71oofo/ut9nw+NQbWPqZ181K8sXtvv9Zz+9TXRsxQvK1qz91TN619zNLzvWQo3la1G97H3Q3F6xmKAaCDoXhb9QzF546GhuJ9VXvzcO7NS4bifdcakkrxsVPxvrXix+j+qn0/73ku174HLA0I8cbuvf1az+9T41LMULydrvV8LxmKt9M1724oXs9QDAAdDMXbqvaCs1V5kdnzptJQvK9qbx563nTEDMX7rvZ1UFp6zsf71oofo/upNQTGx9Wq3X5pQIg3du/t1/r6WHp+1zIUb6PWPePjap37fC8ZirfRte9uKF7PUAwAHQzF2+qcoXjq1IhoKN5XtTcPp25cy1C832pfA6VTI1K8b634Mbqfajc8db+lj10aEOKN3Xv7tQam3q+RKUPxNqo9Z3tvWfvYped7yVC8jWq3u8+7G4rXMxQDQAdD8fYrLzrLi8fai8qppSHRULyvandeum8rQ/E+q92/92sg3rdW/BjdfbV/4Ndzv6na18DSgBBv7N7bz1A8Ttd+vpcMxbfvFnc3FK9nKAaADobi/VV7cbn0AtVQvK9q923ddilD8f6q3f6c+8f71oofo7utNgD23m+q9nWwNCDEG7v39qt9nZQMxfuqdsf7fr6XDMW37VZ3NxSvZygGgA6G4n1We5HaepFpKN5XtTcP574BKRmK91Pr+Xzu7eN9a8WP0d1We/6eO/7VPkfte/tUvLF7b7/Wc/7crxVD8W2rPVfPvWHtcyw930uG4ttWu9k17m4oXs9QDAAdDMX7rfYisxQfZyjeV7W7njMWThmK91FrMLrk7vG+teLH6O66q+du7fMsDQjxxu69/VrP+3PHJkPx7ao9T6/xfC8Zim9X7V7XuruheD1DMQB0MBTvu/gis/ZC01C8r2pvHi55E2Io3n6tsejSm8f71oofo7updstLbliqfQ+I39ePizd27+1X+3opGYr3Ue1+13q+lwzFt+nWdzcUr2coBoAOhuJ91/NC01C8r2o3veSNiKF429XecE6dOxZNxfvWih+juynecM0da98D4vf14+KN3Xv7tZ7/537NGIpvU7zbJbebOvf5XjIU36Z4p2vf3VC8nqEYADoYivdd7YVmHBUNxfuq56Y9GYq3W2skKl36prMU71srfozWV97cxzuW52z565fU+h4QH1cq//3xxu69/VrfA859/huKr1953sW7tZ6fPZ37fC8Ziq9f+fvfe6eeLrm7oXg9QzEAdDAU33/lRV7txWB83CW1XmgeP8ZQvK96btqToXib1b4fTJ07EsXifWvFj9H6lm5635X//nhj995+huL9duvne8lQfP22cHdD8XqGYgDoYCi+/2ovLi8Z/mr1jIqG4n3Vc9OeDMXbq3bbqXMHolrxvrXix2h9te/x16r898cbu/f2MxTvt1s/30uG4uu3hbsbitczFANAB0Px/dd6Qxgfd0nxc5aO/8/USobifVUbEw3F+6921+m2545DreJ9a8WP0fpuPSDEG7v39mu9Ljj3e4Gh+Prd+vleMhRfvy3c3VC8nqEYADoYiq9TfNFXioPuufW+0TQU76vaoGgo3ne1m15616XifWvFj9H6bj0gxBu79/br/fP7VIbi63fr53vJUHz9tnB3Q/F6hmIA6GAovk6toSg+7pxaL1rjG01D8b6qfa1cMigairdR7Z6X3vRU8b614sdoe9W+Zpb+wWK8sXtvP0Oxps59vpcMxfvvkrsbitczFANAB0PxdWqNupeORa03mbXPZyjeV7U3D7W7nspQfNvKc7R2y0vv2VO8b634Mdpeta+bpQEh3ti9t1/rz3BDcb7Ofb6XDMX775K7G4rXMxQDQAdD8fWqvSgslb9+zpvD1hvMUu3zGIr3Ve3r5JJh0VB8u5aeo6feCK4p3rdW/Bhtr9r3gKWvm3hj995+re8RtT/DlzIU779zn+8lQ/H+u+TuhuL1DMUA0MFQfL1abwynyovG1ovE8rGtn0o+/vj4cSVD8b6qvXlo3XYpQ/Ft6nme33XTf3e8b634v1fbq9w0ft20/mwoxRu79/ZrfZ8wFOfr3Od7yVC8/y65u6F4PUMxAHQwFF+31pvDtR2PRTFD8b6qvXlYum8rQ/FtOvUPdO46Q/F41b4HLA0I8cbuvf1arwUMxfk69/leMhTvv0vubihez1AMAB0Mxdev9Qbx0k6NiIbifVV783DqxrUMxbfJUKy11b4HLA0I8cbuvf1arwMMxfk69/leMhTvv0vubihez1AMAB0Mxber9iLx3HreVBqK91Xt62LNUPzUd79uNh5Nvevhd88+Tuu61VD8roffPbtvrfi/V9ur9j1gaUCIN3bv7Wco1tS5z/eSoXj/XXJ3Q/F6hmIA6GAovn3lhWHtBWOr8vhz3kwaivdV7WthzVD8mR/+1tl4NPXed75j9nFa162G4nLLeN9a7/r//c7sf7O2Ve17QGtAKPeMN/5Kf+0/mj1e28hQrKlznu9ThuL9d8ndDcXrGYoBoIOheFtN/9K6WPnr576BnDIU52waip/9ib84H5D+sPe9/RdmH6d9Vm4Z71vrvf/6V2cfq/1W7hlvPPWpH/rW2eM1VobinBmKc2YoXs9QDAAdDMXjZyjO2TQUP/9Pvmc2IE29/xd+avZx2mfllvG+tX73X/3z2cdqv5V7xhtPffLvvmH2eI2VoThnhuKcGYrXMxQDQAdD8fgZinM2DcUv/OKPzQakqY/9+F+afZz22Ud//Ntn9631gX/2ltnHar+Ve8YbTz351r8ye7zGylCcM0NxzgzF6xmKAaCDoXj8DMU5m4biLzzS/t21n3rTVx1+572/P/tY7az3/v6DW8b71vr43/kv5h+v3VbuGW889eTP/c3Z4zVWhuKcGYpzZihez1AMAB0MxeNnKM7ZNBQfvvylw1MLI+Kj/+gHZx+rfVVuGO+61Lsefvfsc2h/vevhd89ue9zjv/mvZh+jsTIU58xQnDND8XqGYgDoYCgeP0Nxzr4yFB8Oh+d+5k2zEWnqsR/+s7OP1b4qN4x3XerDP/lXZ59D++vDP/lds9tOPfW9X3/4xBOfnn2MxspQnDNDcc4MxesZigGgg6F4/AzFOTseil/+7V+cDUnHvf8XfnL28dpH5Xbxnqd6/Ae+efZ5tL/KHeNtp55/2/cZihNkKM6ZoThnhuL1DMUA0MFQPH6G4pwdD8WvvPjs4anv+urZmDT1xH/zHx8eftd7Z59D267crNwu3rOnD/4PPzb7fNpP5X7xpsd94d1vNxQnyFCcM0NxzgzF6xmKAaCDoXj8DMU5Ox6Kixd/5adnY9JxH/u7f2n2ObTtys3iHY976rtfN/trU5/8a19/ePdv/W+zz6ntV+5W7hdvOvX093/D4dUvfdFQnCBDcc4MxTkzFK9nKAaADobi8TMU5ywOxYdXXjl86vv+5GxUOu5D//33zz6Ptlm5Vbzfa8bCH/jGw0v/+p/O/vpxn/hb/4/Z59X2K3eLtzzupV//uQdPeUPx+BmKc2YozpmheD1DMQB0MBSPn6E4Z7Oh+HA4PPZLb52NSjFj8fY7NRI/GAt/4+cf3PyZN3/b7D877iP/4Dtnn1/brdwr3vC4cu+JoXj8DMU5MxTnzFC8nqEYADoYisfPUJyz2lD8kU88efjE3/wLs3EpVn6lgd9ZvL3KTU79uonSZ9/yhq/c/OWH/+XsP48Zi/fRqZG4VO49MRSPn6E4Z4binBmK1zMUA0AHQ/H4GYpz1hqK3/O/vfPw5Pf+idnAFCv/krT3/8JPzj6vblO5Rc+/uO6Tf/1PHL78zJOvufuTf/+/mj0uVn6dgd9ZvM3KXU79uonSc//wja+5u6F4/AzFOTMU58xQvJ6hGAA6GIrHz1Ccs9ZQXP6z9739F2YjU6vHfvjPHR79Rz94+J33/v7sv0P33Ht//8Hf+3KDeJdWj/7aL8WzHz724Q8fHv/BPzV7bKz8C9I++D/82Px/h25WucfSv7hu6om/8S2HV19+8TV3NxSPn6E4Z4binBmK1zMUA0AHQ/H4GYpztjQUl97/P/6D2di01Kfe9FWHj/74tx/e/ws/9WBofu8733F418Pvnv336rLe9fC7H/w9LX9vy9/jj/34X3rw9zzeYaly099/9GPx7IePPfbJw3t/7e2HT/2Vr559TK3Hf+CbDx/+ye9y3xv1roffffjwT/7VB3eIt6lV7vqB33xHPLuhOEGG4pwZinNmKF7PUAwAHV548aXDs8+/oIErN45e/Ly7j94LL34+nv3w4ksvv+Yxz/yvPzcbnbTPyi3LTT/3wvzun//Duz/zW//T7ONO9fRPfPvhM//zPz488653HD776COHZz/1xOxrTSv61BMP/r6Wv7/l7/PT/+23z25wqnLX51947U8TFy+9/IX5f5+G6vnPuXvGnvvcC/Hsh5e/8MXZ4zRerGMoBgCAE774B//28PT/6xtn45P2UblduWGvL7z3fzk89Ve/ZvZ5tL/KHcs9AYDTDMUAANCh/MvPPvuWN8yGKG27crP4L67r8aXHP3B45m/92dnn034q9yt3BAD6GIoBAOAML/3Gzx+e/gE/Xbz1yo3KrdYo/+Kz5/7hG2efW9uv3C3+i+sAgGWGYgAAONcrrxxe/JWfPjz1XX3/4jNdr3KTcptyo7vy8sP/8vDMm79t9t+l7VXuVO4FAJzPUAwAABd65cVnDy//9i8envuZNx2eetNXzUYrXafy977coNyi3OS+vPTrP3d4+vu/Yfbfr9tX7lLuAwBczlAMAAB34ctfOnzhkXccXvjFHzs8/0++5/DsT/zFw2d++FsPT33362ajli6r/L0sf0/L39vy97j8vS5/z8vf+2t59UtfPHzh3W8/PP+27zs89b1fP/vfqOv11Pd8/eH5t/31B/codwEA1jEUAwAAXOiLH/g3hxd+6e89GI6f/QfffnjmzX/GgHzHlUG4/H0tf3/L3+fy97v8fQcA7pahGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBAAAAAJIzFAMAAAAAJGcoBgAAAABIzlAMAAAAAJCcoRgAAAAAIDlDMQAAAABAcoZiAAAAAIDkDMUAAAAAAMkZigEAAAAAkjMUAwAAAAAkZygGAAAAAEjOUAwAAAAAkJyhGAAAAAAgOUMxAAAAAEByhmIAAAAAgOQMxQAAAAAAyRmKAQAAAACSMxQDAAAAACRnKAYAAAAASM5QDAAAAACQnKEYAAAAACA5QzEAAAAAQHKGYgAAAACA5AzFAAAAAADJGYoBoMdn/+fD4dP/H43cs++IVz8cnv21+eM0Vp/9lXj1w+9+/oOHdzz3Gxq4f/vCe+LZD+9/6dHZ4zRWv/W5h+PZD59/6eXDM88+r4F79vkX4tkPn3/pC7PHaaw++9zn4tkPhxffN38doMH6uXh1zmQoBoAe7/njh8OvPaSRe+/r49UPh/f93+aP01i9+4/Fqx9+5LG3HF7/u39BA/eXP/Q98eyHH33ip2aP01i94dHvjGc/fOKJTx9+55EPaOAeef+H4tkPj3/yqdnjNFbv+b1H49kPh4/94Px1gMbq1/9P8eqcyVAMAD0MxeNnKM6ZoThlhuKcGYpzZijOmaE4aYbi1QzFANDDUDx+huKcGYpTZijOmaE4Z4binBmKk2YoXs1QDAA9DMXjZyjOmaE4ZYbinBmKc2YozpmhOGmG4tUMxQDQw1A8fobinBmKU2YozpmhOGeG4pwZipNmKF7NUAwAPQzF42cozpmhOGWG4pwZinNmKM6ZoThphuLVDMUA0MNQPH6G4pwZilNmKM6ZoThnhuKcGYqTZihezVAMAD0MxeNnKM6ZoThlhuKcGYpzZijOmaE4aYbi1QzFANDDUDx+huKcGYpTZijOmaE4Z4binBmKk2YoXs1QDAA9DMXjZyjOmaE4ZYbinBmKc2YozpmhOGmG4tUMxQDQw1A8fobinBmKU2YozpmhOGeG4pwZipNmKF7NUAwAPQzF42cozpmhOGWG4pwZinNmKM6ZoThphuLVDMUA0MNQPH6G4pwZilNmKM6ZoThnhuKcGYqTZihezVAMAD0MxeNnKM6ZoThlhuKcGYpzZijOmaE4aYbi1QzFANDDUDx+huKcGYpTZijOmaE4Z4binBmKk2YoXs1QDAA9DMXjZyjOmaE4ZYbinBmKc2YozpmhOGmG4tUMxQDQw1A8fobinBmKU2YozpmhOGeG4pwZipNmKF7NUAwAPQzF42cozpmhOGWG4pwZinNmKM6ZoThphuLVDMUA0MNQPH6G4pwZilNmKM6ZoThnhuKcGYqTZihezVAMAD0MxeNnKM6ZoThlhuKcGYpzZijOmaE4aYbi1QzFANDDUDx+huKcGYpTZijOmaE4Z4binBmKk2YoXs1QDAA9DMXjZyjOmaE4ZYbinBmKc2YozpmhOGmG4tUMxQDQw1A8fobinBmKU2YozpmhOGeG4pwZipNmKF7NUAwAPQzF42cozpmhOGWG4pwZinNmKM6ZoThphuLVDMUA0MNQPH6G4pwZilNmKM6ZoThnhuKcGYqTZihezVAMAD0MxeNnKM6ZoThlhuKcGYpzZijOmaE4aYbi1QzFANDDUDx+huKcGYpTZijOmaE4Z4binBmKk2YoXs1QDAA9DMXjZyjOmaE4ZYbinBmKc2YozpmhOGmG4tUMxQDQw1A8fobinBmKU2YozpmhOGeG4pwZipNmKF7NUAwAPQzFu+mdb6kXHzfLULyLzr7rqQzFu+iP/ONvmBUfc06G4v0Xvx56vi4MxfvprT/7tlnxMb0ZivfTXd28ZChOmqF4NUMxAPQwFO+mhx6qFx83y1C8ycoY/Ob/cn7P2Ov/w/+j8tj4ORYzFG+yMvj9e//1vz+7c+zf+dp/90HlsfFzLGUo3netr41TXweG4u32HW980+Grv+Z1s5vGymPKY88ZEQ3F2+0+724o3l/Ta7njzv6hAEPxaoZiAOhhKN5FS4NifOwsQ/GmKm8MyhuEeMeeznpjYSjeVGUgjvfsrQzGp36idMpQvO/i7acMxfurZyRsVYbD+PlqGYq3V7ldvGdvvXc3FO+r1mu+7tdzU4bi1QzFANDDULz5ygvJ+OLyuPj4WYbizXTqlr2VNx3xc88yFG+mMvTGG15S+Tzxc8cMxftt6evEULyfyk+Gxvtd2qmfMjUUb6s1/3DguFN3NxTvp9ZIXDIUX5+hGAB6GIo3X3xhGYuPn2Uo3kRLPxV+SSfHYkPxJloa/y7p1FhsKN5nrV85MWUo3kd3ORJPLY2GhuLtFO+2tqW7G4r30dJIXDIUX5+hGAB6GIo33akXmaX4MbMMxTfv1E8SlxG5dPwvsyv//1P3XxyLDcU379T4VyqPiZ0al5dGQ0Px/ur5tSRLNy8ZirdRvFts+n20sfi4WPzvmTIUb6OlnyQ+vvnxv8yu5+6tsdhQvO16f8WYofj6DMUA0MNQvNlOjYtT8eNmGYpvXrzZVO/vHF76aeTmxxuKb9rS+Nf7O4eXBuP42ClD8f5auvOUoXj7LY2FPb97dumnkVsfbyi+fUuDb+tux5W7t752yl+Pjy8Zirdbz0A81Xz91spQvJqhGAB6GIo3We9IXIofO8tQfNNaI+/iTwNXan1NND+PofimtX6a+NSvjoi1RsTWcGgo3let+8Za954yFN++eLOp1k+F1loai+NjS4bi2xfvdMndS62xuPZ5DMXbquf/AqyWofj6DMUA0MNQvMlqLzhrf60UP3aWofimxXtNt4yP66k1OsfHPchQfNPijUrnjsSXfC5D8X6q/dR5azg2FG+71k+V1ka+U53zuQzFt+2cW/UUP0+p9lPJhuJt1HpdHmu9djMUX5+hGAB6GIo3V+0nR6dfURD/eil+/CxD8c1q3ezsNwdHxc/V/HyG4ptVGwBLPb9uolbrp5Pj40qG4v1UG4XL10jtrxuKt13tp0Fbvzagp/i5SrXB0FB82+767rXhufb5DMXbKN6qVnl9dmevBQ3FqxmKAaCHoXhTtV5MnvrPFjMU36yLb7ZQ/Fyl6psNQ/HNOmfY7emc4dlQvI+WxuCl/6yVofi2xXuVasNub70DpKH4ttXutObuhuJ9FW913PH/5VjrtWD1tdtShuLVDMUA0MNQvKlq/2ds0wvJ1gvN+DlmGYpv1sU3Wyh+ruOvkddkKL5ZtaH41NB3qvj5Wp/TULz9asP/8a8SMRTvr3ivUnzMOdUGw9rnNBTfNkNx7uKtSrV/SXHrtWB83MkMxasZigGgh6F4M9V+h1nPTyTEzzPLUDxU8f7NNxuG4pt1ydB3qvj5Wp/TULz94h1Lxz8dfsnXj6H4drX+BXTxcedUGwxrn9NQPFa1uxuKt9t0o/JavbyGj//5VOv1e/W121KG4tUMxQDQw1C8iVovIs99TDVD8TCd9TVgKB6qePNSbTw0FG+7nhG45zExQ/FY1QbDUnycoXisen9C2VC8jXqH3tZrt96P/0qG4tUMxQDQw1C8iZZ+5cRU64Vm/FyzDMXDVPup8+bXgKF4mGq/qqDkdxTvq9odj3/lxJShWLXBsPaTpYbisYo3LxmK91/r9Xt8nX8yQ/FqhmIA6GEovnm18a/2f8LWeqEZHzfLUDxM8faLbzQMxcNUGxhLhuJ9Fe9Xio8pGYplKM5X7afIazcvGYr3Vev1e/P1WytD8WqGYgDoYSi+aa0Xj/Fx5z72NRmKh6j2U+fHv8N6lqF4mGr/crwH96881lC8zc4Zf8957JSheKzi/Uu1nyw1FI9R6/dcl78eH1syFO+r1ut3Q/H1GYoBoIeh+KbFF41LLxxbLzTj42YZindd6+5LXysPMhQPUeuniVvDoaF4e9WG/tqvnJgyFOeu9tPEpfi4kqF4/7Xu3fpp4pKheF+1XsctvoarZShezVAMAD0MxTer91dOTLVeaMbHzTIUb75y23L7WLz1VPlJ4pNvMAzFQ1QbDUu1XztRMhRvr3i7B8/hyuOmajc3FOeo9ZOlrdHQULyPyk+Dx1oDcan20+PHGYr3Vev1+8nXcTFD8WqGYgDoYSi+SbUXjYu/RqDxMaX4uFmG4s23NArHlv5hwmsyFO++c3+auGQo3la10bc18i99zNLNS4biMWqNh/FxU4bifRTv2arcv/XrJo4zFO+r1ut3Q/H1GYoBoIeh+CbFF4s9LxhbLzTj42YZijdfz1B86h8kzDIU77rWSPzga6Hy+ClD8XY691dOTBmKc9YaiZd+utRQvI/iTWv1DMRThuJ91Xr9fup1/yxD8WqGYgDoYSi+erV/KVnPT4m2XmjGx80yFG++nqF4quvXTpQMxbuuNhaWTv00qqF4G7WG/vi4WrXbG4rH7txfOTFlKN5H8a5LLf2DgSlD8b5qvX7vei13nKF4NUMxAPQwFF+12ovF3p8UrX1sKT5ulqF4850zFE+d/LoxFO+22lBYOjUSlwzF26h2w577tT7WUDxul47EJUPxPoq37WnpJ4wNxfuq9frdUHx9hmIA6GEovmrxReI5LxRbLzTj42YZindZuXcZkGs/gT61OBYbindZbSQs9fzKgpKh+PZd+isnpmpfA4biMWuNxKWloXDKULzPym1L5aeH4917vgYMxfuq9fq99/X/VzIUr2YoBoAehuKrVRv8znmR2HqhGR83y1A8RLWvn1JzLDYU767aQFg6Z2Q0FN+22q+cOOd+pdrXgaF4vNaOxCVD8Rid+7VgKN5Xrdfv57wHeJCheDVDMQD0MBRfpdqLxObA16j2OUrxcbMMxcPU+hqo/o5rQ/Fuqo2LU+eOjIbi21YbeXt/5cTS5zAUj1XrX1xXqg2DrQzFY9X6uoiPMxTvq9ZrN0Px9RmKAaCHofjeu6sXiK3PEx83y1A8VK2fLI6PMxTvo7sciUuG4ttVG3gvuWHt8xiKx6k1BpbOGYlLhuKxav1kcfwX3BmK91Xr9fu57wMMxesZigGgh6H43qsNe2e/OFx4oRkfN8tQPFzxa6A0+6liQ/Hmu+uRuGQovk21W156Q0PxuN3lSFwyFI9X6/cWHz/GULyvWq/fz34vYChezVAMAD0MxfdaGe/iC8Nzf+XEVOuFZnzcLEPxcNX+4YOheF/VhsWpc39VwXGG4tsUb7jmjobiMWuNxOWvx8f2Ziger9ZPFR8/xlC8r1qv3w3F12coBoAehuJ7Lb4oLJVB79Li52p9vte8+DQUD1dtKJ79AwhD8Wa7r5G4ZCi+fmXEjXcsY2/565dUG4pbn2/632Ao3nb3MRKXDMXj1RqKj3/i3FC8rwzF22EoBoAehuJ7Lb4ovFZlLP7K/w5D8U2qDfuzMffCDMX7rYx78XZTa0fikqH4+i3d9L6b/jcYirdZGffuayQuGYpvV7xn6ZJfHxIzFI+XoXg7DMUA0MNQfK/FF4XXylB8+wzFitV+UnTqLkbikqH4+hmKVas1+JXuYiQuGYpvV7xpyVCsWobi7TAUA0APQ/G9Fl8UXitD8e1rvTGIj7uk+DlnNy8ZijdVayQuf/2uRuKSofj6GYoVa419pfIvK4uPvzRD8e2q/aT4XdzWv8xuvFqvBw3F12coBoAehuJ7Lb4ovFaG4m0U7zK7zQV1v+EwFG+mpZE4PnZthuLrZyjWcUsj8V38xOlxhuLb1TPoXlJtgI4/gW4o3lfdr9tOZShezVAMAD0Mxbup9UIzPm6Wofhm1X5FRNfNFqr9SovqGw5D8Sa65khcMhTvv9rXzPG/uK6WoXgbXXMkLhmKb1fr1mt/qjh+vpKheN+1Xr/PXredylC8mqEYAHoYindT64VmfNwsQ/HNao26s98n3Fnra6D6+QzFN638Oona4Fe6r5G4ZCjef7WvG0Px9mv9hGnpPkbikqH4tsU7r7137aeJa5/PULyvWq/dDMXXZygGgB6G4t3UeqEZHzfLUHzTWj9VXP76OW8SWvdvvtkwFN+sMhLHG02dGvzWZijef4bi/dUa+MpfjyPfXWYovm2tnyounfuTxUtfQ/GxhuJ91Xr9Vn3ttpSheDVDMQD0MBTvptYLzfi4WYbim9a621QZjFu/t7h8bOunko8/Pn7cgwzFN2lpJC6VEfCuO/7vNxTvv3LT+HVjKN5urYFvqvznd9nx8Gwovn3lJvHmx5XBuPUPC8p/durjax9rKN5XrdeBhuLrMxQDQA9D8W5qvdCMj5tlKL55rdutrTkSlwzFN+na/2IzQ/F4GYr3VbzVfWco3l6nxt5Lq43EJUPxvmq9BjQUX5+hGAB6GIp3U+uFZnzcLEPxJmrd79IWR+KSofgmGYq1NkPxvoq3uu8Mxdvsrsfi1khcMhTvq9brP0Px9RmKAaCHoXg3tV5oxsfNMhRvqtbvLD6nrjcXhuKbZCjW2gzF+yre6r4zFG+3pd9Z3FsZnOPnjRmK91Xr9XvXa7njDMWrGYoBoIeheDe1XmjGx80yFG+y8ruHzxmNy+PPelNhKL5JhmKtzVC8r+Kt7jtD8fYrNyq/fzjerlUZh8/5l98ZivdV6/X7Wa/pSobi1QzFANDDUDx+huLNV94slCE4Vv762W8kpgzFKTMU58xQnDND8fYro/E0HMeWfr3EUobipBmKVzMUA0APQ/H4GYpzZihOmaE4Z4binBmKc2YoTpqheDVDMQD0MBSPn6E4Z4bilBmKc2YozpmhOGeG4qQZilczFANAD0Px+BmKc2YoTpmhOGeG4pwZinNmKE6aoXg1QzEA9DAUj5+hOGeG4pQZinNmKM6ZoThnhuKkGYpXMxQDQA9D8fgZinNmKE6ZoThnhuKcGYpzZihOmqF4NUMxAPQwFI+foThnhuKUGYpzZijOmaE4Z4bipBmKVzMUA0APQ/H4GYpzZihOmaE4Z4binBmKc2YoTpqheDVDMQD0MBSPn6E4Z4bilBmKc2YozpmhOGeG4qQZilczFANAD0Px+BmKc2YoTpmhOGeG4pwZinNmKE6aoXg1QzEA9DAUj5+hOGeG4pQZinNmKM6ZoThnhuKkGYpXMxQDQA9D8fgZinNmKE6ZoThnhuKcGYpzZihOmqF4NUMxAPQwFI+foThnhuKUGYpzZijOmaE4Z4bipBmKVzMUA0APQ/H4GYpzZihOmaE4Z4binBmKc2YoTpqheDVDMQD0MBSPn6E4Z4bilBmKc2YozpmhOGeG4qQZilczFANAD0Px+BmKc2YoTpmhOGeG4pwZinNmKE6aoXg1QzEA9Hj1S4fDq1/U0H0pXt3dU/T/j1c/fPnVLx++9OqXNHDlxtGXX31l9jiN1vzur776qhIUlb8UH6PxminfA2avAzRcrGIoBgC2pfw0wHu+/n9v7951dlnyuwDvS+ASuAREgGREQOaUSyAgREgYLoDUkSMyJyCRIAJygkHMSLaFwZY52IPt8Yzn4JnxHGwHhCxUe0/P7l1fV3V1d/Wh+v880k+y93q/frur++2u+q13vvXp05/9qy/z86/lrwIAAKAjRTEA8BypEM7/J2RLUSQDAAB0pSgGAJ4jlb55Kbw1qURWJAMAwFelOXFKmh9Pc+YpoCgGAB6lR1G8lrxInibMAAAwqmlOu1QE5/PhPIpifkFRDAA8xxVF8VoUycuMAQDAfY4UwS0BRTEA8Ci9JrpnZl4iRymSpwL/7ccJAHCXs4vgtYCiGAB4lHzCOmKWiuRRpX3PFycAAGxXKoLzueRdGXnOSjdm+wDAs8wn0FOeNIk+mlGK5OlbxHnS/gMA8FVPL4LX8tQ5KZdSFAMAY8mL5NEm4Wt5QpG8Np5pvwAAInn7HPSOOSePoygGAN7lzZP46VjOKpLTtvL3LKXn+wIA3O3Nc8gp0zFN88npmOEXFMUAQCzzBcDbFgF5kbxl8p9en2+vlvR6AIBRzIvgeWGaz3FGzpG5ICiKAQAyS0VyPgkfNUvfRv7ub2w7xvRaCw4A4EmmQlQRDIcoigEAtnhzkbwW3yIGAO4QsQieHzNcRFEMANDLfAHzxiJ56RvJAABHKYLhERTFAABXyYvkty2AFMkAwJJSEZzPJUbOvNxWBDMoRTEAwFO8uUieL5wUyQDwLm+ew0xRBBOAohgAYBTzBdjbFmF5kWzhBQDPEbkIhkAUxQAAb7FUJOeLoFGjSAaA8yiCAUUxAMCLvW2BV8u8RLb4A4CvmhfB88I0f56OHH+pDIcpigEA3iYtivLFUy1pUZV/k+iN30jOi2QAeIPpGa4IBg5SFAMAvElaOOULq1rS61vkRfLbFqCKZACeShEMXERRDADwBmkhtWXBmF7bc/H15iI5X7gqkgHoKWIRPD9m4DEUxQAAo0sLrnwxVkt6/dXmJfLbi2QLXwDmSkVw/jwZOfNyWxEMw1IUAwCMKi2+ti40n7pgWyqS830fNYpkgHdTBAMvoSgGABhRWpjli7ha0sJuZG8vkufHZuEN8CzzElgRDLyYohgAYDRpAZcv8GpJr3+zfAEfoUgGoJ/8ORKpCAaYURQDAIwiLei2LFzTay0C318AKJIB6ubPgXlhmt9PR868BFYEAzspigEARpAWffmisJb0etq8uUjOiwNFMvBGimCALhTFAABPtvVbxCkWjn3NS+S3F8mKB+BppvuSIhjgdIpiAICnSgvFfCFZS1pgcr2lIjk/N6NGcQGcLWIRPD9mgAdRFAMAPNHWBXJaePJMby+S58em+ABypSI4v5+MnHm5rQgGBqYoBgB4krSo3LKATq+1EB3XvDyJUiQD76IIBngNRTEAwFOkxWe+OK0lvZ53y4vktxUwimR4vrffh1IUwQCfUxQDANwtLUS3LLrTay1eSd5c4MxLG0UynOfN95EppSIYgK9QFAMA3CktWPMFbS1pkQut5uXP2wqgvEhW/MCyeRE8L0zzz9TIUQQDdKEoBgC4y9aFelr8Qk9LRXJ+3Y0aRTJRRCqCfZ4BTqUoBgC4Wlrc5ovgWtLi2IKYO7y9SJ4fm+KJJ5quS0UwABdQFAMAXCktgPMFci3p9fBU0Ypk6C1iETw/ZgAeRVEMAHCFtCDesvD3LWJGNy+/FMlEFaEInh+TIhhgaIpiAICzpYVzvrCuJb0e3i4vkt9Uns1LM0Xyu5WK4PyaGDmKYIAwFMUAAGfaWhhYeMMX5iXy2wq4vEhWuj3Xm/9CY4oiGIBfUBQDAJwhLbDzxXgtaYFuUQ7tlork/HM1ahTJ14lcBANARlEMANBbWojnC/Va0uuBvt5eJM+PTfFXNi+C54VpPqYjRxEMQCeKYgCAXtLCfEsBkV5rMQ/3iFYkv1WkIthfDABwMkUxAEAPafGeL+5rSa8HnmlePiqS7zOdB0UwAFxCUQwAcNTW0kIBAGPLi+S3lZdXFckRi+D5MQPAwyiKAQD2Sgv9vBCoJRUFwPvNS+S3Fcn5t19rRXKEInh+TIpgAAanKAYA2CMVAnlhUEt6PUCyVCTn94xR842/9fG/jRxFMACBKIoBALZI5cCWUie9VqEAbPHmIvlpUQQDwC8pigEAWvkWMfAEiuT2lIpgAOADRTEAwJqt3yJOUUQAd5iK0FSK/uE//iK//bc/3qPekt/9O4pgAOhEUQwAUJMKh7yYqCWVFQBXmJfC82/O5velSJkK4ylKYwBopigGACjxqyaAu8x/V64iuE/m3zxWJAPAB4piAIDc1l81kV6rbAC2UAQ/L3mR7NdYABCMohgAYM63iIEeIhTB82OaitXv/sYXvxd5KlvfeLyKZABeSlEMAIyvx/98eOu3iFOOvicwrlIRnN8nRs5SEXy0HJ3G661F8vzYjo4VAFxMUQwAjG8qG/ZKP58v+Gs58l7AGBTB15uPd5QiGQAeRFEMAIxtXvLuKXC3lhDp/YDx5aVkpCJ4VG8/Z4pkAG6mKAYAxpYvtFuL3LQA31IwpNdatMM43l4qprytCD7qzed8fp4VyQCcRFEMAIwrLZTzxXTK2uK59HOltJbPwHXmpeC8MM0/vyMnLwejF8FHzUvktxfJrhUAdlAUAwDjyhfK8wXzkrRo3lIKpNdaaMM9FMFcbalIzs/ZqHGtAdBAUQwAjCktdPOF8Dzpz7e8Pk+pbAaOm0qqSEXw/JgZ09uL5PmxuVYBQlIUAwBjyhe5S5kWuVsX83nJDGyjCCaa+fUepUgG4HUUxQDAeNIiNV/ELmXrIj293uIX1pWK4PwzNXLm5bYimKPyIvltnxlFMsArKIoBgPHkC9QeSQtb4AuKYLjWm4vk+edMkQzwaIpiAGAsrd8mbk1avFqwjkvhsM+bS6kppSIYRjT/vL7tM5sXyT6rALdRFAMAY8kXmEeSFqSMKZUIU0miUPhIEQyxLBXJ+Wdm1CiSAS6jKAYAxpEWiPkCcm8sMseVXwcRz+W8CJ4Xpvl1PnKUQ9DP24vk+bG5V7SZxgtgRlEMAIwhLfryxeGepAWlBeSY0nlbKjfeuNBVBANXmd9vohTJfDEW0xi98TkK7KIoBgDGMF/QHIkF4phq5z+VACOZSplIRfD8mIGx5EXy2+5XUYvk/LmqLAYUxQDAEPLFzJGMVipGlxbsa4XE086pIhiI5M1F8vw+97YiuXSOFMYQmqIYAHi+nkVxikXQGLac9ytFKILnx6QIBo6Yl8hvL5JHuk/mxzKPeRKEdfGsGgBgoy1l4ZaMspCLKJ2brSVCT6UiOH/PkaMIBp5iqUjO71mj5slFcr6vS1EYQzidZ9UAAJ3li5ae4Xn2/sXAloX3vASOVgQDjObtRfL82K66V6f3yPelFGUxhGKFBAA8197SsDVpgcYzpEXrkcX/fGGtCAaIIb/fRyiSe9hSFE9RGEMIimIA4LnyRcoZsfC5X4+/EHhTMZAyL4EVwQD75EXy2/7icG+RvPe5a84Er6coBgCeae8iZk9aF1b0tecbTW+JIhjgfm8ukvPnzLxIPjrHUhjDaymKAYBnyhclZ2S+iOJab1mIlzK/tqYiQhEMMJZ5ify2IvlozJ3glRTFAMDzHP2mS56l0o57vOVbxEvXlOsKIJalIjl/Xrw9CmN4FUUxAPA8+SKkNUvlHc8xygJ6uo7ya8n1BMAWUYpkZTG8hqIYAHiWtW8TLxV4PNvTvkWsCAbgCd5UJKd99xyF4SmKAYBnmS848iKP8dyx6C0VwQAwiunZNVqR7NvFMDRFMQAA55kWt/lC8owogwGIIi+Sp78gzZ+Nd8S3i2FYimIAAK5x9rehLEoB4AtL30Y+8xm8FN8uhuEoigEAuN4Z3zK2IAWAujOev0vxrWIYkqIYAID7TN94yheYe5IWpQBA2ZnfKlYOw/AUxQAAPMPR32esKAaAut5FsXIYXkVRDAANvvfDH3/64z/7rrw43//hX+an/dMPfvSTD6+Ta/LT3/u1z/NhQVrJ//3tX/mwnbV89y9+nJ/2Tz/88U8/vE7elT///o/y0/7pR3/5sw+vk3fl29/7YX7aP/34pz//8Dp5V/7suz/IT/unn/zsrz68LkryZ+eepOft9/7w33/Y9pPyre98Pz/tn37687/+8Dp5Wb79vfy0s5GiGAAafPNbf/7pd//gj+TF+T/f+m5+2j/9ybe/9+F1cn1+8Dv/9NPffOPvfVioLiX/2bX80Z9+Jz/tn7715z/48Dp5V/73H387P+2fvv3dv/jwOnlX/uc3v5Wf9s//0iB/nbwrf/CHf5Kf9k/f+4sff3hdlOTPzdak5/A3//u//Tz5Np+Y3/9ff5yf9s+/AJC/Tt6V//Y/vpmfdjZSFANAA0Xx+6MoHiOpNM4Xr/NsXcAqimNGURwziuKYURR/mfSMzJ+btaRyOD13tz5bnxBFccwoio9TFANAA0Xx+6MoHitp0bpUGm9dzCqKY0ZRHDOK4phRFH+ZlqI4lcPTt4fznx8piuKYURQfpygGgAaK4vdHUTxuUmE8lcZbF7aK4phRFMeMojhmFMVfZukvWOcF8dZn6JOjKI4ZRfFximIAaKAofn8Uxe/I1kWuojhmFMUxoyiOGUXxl8mL4reVw/MoimNGUXycohgAGiiK3x9FccwoimNGURwziuKYURR/mbf8WomWKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4/VEUx4yiOGYUxTGjKI4ZRXHMKIpjRlF8nKIYABooit8fRXHMKIpjRlEcM4rimFEUx4yiOGYUxccpigGggaL4efnNf/PvvpL8z7dGURwziuIx8lv/9fc+JH/NliiKx09+PbRcF4rimFEUj598ztcy91MUj5/8fLecd0XxcYpiAGigKL4/aWL4z/75v/z02WefVfMrf/8ffJ702nwbtSiKx0q6HqZzPU/+urUoip+ZVPh947d+59PXvva1av7L17/xedJr823UoigeO6VrY+06UBSPl/wen7JWFOVRFI+d0txvbZ6nKB47e8+7ovg4RTEANFAU35epEMwnii3ZsqBUFI+TdE7zcz2d7/y1a1EUPyupIM7Lv9akwnjtG6VTFMVjJz/3UxTF70rp2d/6XJ+iKB47+fmfslYYKorHTn6+W8+7ovg4RTEANFAU35NSIbg1LQWioniM1K6JlvOcR1H8nKSiNy/+9iRtJ992HkXxuKldJ4ri96RUEqcoiuOkdh2sFYaK4nFz5Lwrio9TFANAA0Xx9Sn9T872Zq1EVBQ/P7WSuOUcL0VR/IzUyr89WSuLFcVjpvQrJ6Yoit+RWkmUoiiOkbV54FphqCgeM0fPu6L4OEUxADRQFF+btUIwTRJT5v+wRfr/1xaXtSJRUfzsrC0c1s5vKYri+7NW/k0FYJ61crlWGiqKx0vLryWpnfMURfGz0/qrphTF78/aPDBlrTBUFI+XHuddUXycohgAGiiKr00+KZzS+juHa6Vi6ecVxc9My6Jhfn3kP78WRfG9qZV/rb9zuFYY56+doigeL7XzPEVRPG5aCuIpped4KYri8dJyPawVhori8dLjvCuKj1MUA0ADRfF1KZW8W0vAUsFY2o6i+DmZviGen7u1lM5tLYrie1P6NvHar47IUyoRS8WhonislM5vntL5nqIoflZa/pdAS1EUvzut18RaYagoHiu9zrui+DhFMQA0UBRfl3xCmLKnAEwplY3561IUxfenVO7nSdfD0oJiz3WiKL43edGXsrUk3rMtRfE4WfrWeak4VhSPkaX791JKz3BF8XuzNA8oXS9rhaGieJz0PO+K4uMUxQDQQFF8TZYmiilbF4Xz5NsqbU9RfH9KpcA8Uxm8tIBQFI+VpQIwpeXXTSyl9O3k/HUpiuJxslQKp2tk6b8risdIfu9eSnpO95oTKIrHydKzPZ3vpf++VhgqisfJ0vnde94VxccpigGggaL4mpQWhfnrtiTf1jT5zF+nKL4/a0Xx/LwtLR4UxWNlS7Hbki3Fs6J4jNTK4NqflaIofkbye3fpPl6aEyw9w2tRFI+Rpef6VArW/qwURfEYqZ3b2p+Voig+TlEMAA0UxdektCjMX7cl+bZSlhaZiuL7UyqKlxYFS4sHRfFYWSqK14q+teTbK21TUfz8LBX/818loigeN/m9e7p/58/m0pwgf91aFMXPz9K5nj/Tl575S3ODeRTFz88Z511RfJyiGAAaKIrHTT7BTFlaZCqK78+8KE7/99J5mrK0eFAUj5U9Rd9a8u2Vtqkofn7y85gy/3b4nutHUfyMzO/ZtdJnqUQqPcNrURQ/P/k5zs/z0jO/du2kKIqfn/yc9jjviuLjFMUA0EBRPGZKi8z8dSmK4mektQBYWjwoiiUvDkvloaL42WkpgVtek0dR/Iy03udLz/DWn5+iKH52lp7neRnY8po8iuJnp+Wctrwmj6L4OEUxADRQFI+Z0q8yyF+XoigeK0uLB0Vx7Cz9qoIUv6N4rCydx/mvnJiiKH5/FMXvz9I5XnqWLz3z1wpDRfFzc+Z5VxQfpygGgAaK4jGTTy5TSgtMRfFYWVo8LC0y1qIofk+WCkZF8XjJz19K/poURfH7s1Qm1Z7jpSiKn5v83Kbkr0lZeuavFYaK4ucmP5c9z7ui+DhFMQA0UBSPl6XJZa1IVBSPla3ntxRF8Xuy9I/jlUpGRfEzs6X83fLaKYrisaIofneWnuOlEnDLa6coip+ZLedyy2unKIqPUxQDQANF8TgpLSxTaotLRfFYWVo8KIrjpvRt4lJxqCh+XpaK/qVfOTFFUfz+lJ7ntWf5UhTFz8vSrwarPcOXnvlrhaGi+Hm54rwrio9TFANAA0Xxs5IWiWmimCefTM4noWsLS0XxWFlaPNQWG6Uoit+RpdIwZenXTqQoip+X/Nyl5K+ZZ+mcK4rfFUXxe5Of05T8NfMsPfPXCkNF8fOSn8Mzzrui+DhFMQA0UBQ/K7VSOM/ahHKKonisLC0eFMUxs/XbxCmK4mdlqfQtlfy1n6md8xRF8VhRFL8zS8/vtXO69DNr8ztF8bOydA7POO+K4uMUxQDQQFH8rLQUxVtLQ0XxWFlaPGw95ymK4rFTKolT8tfOoyh+Trb+yokpiuL3R1H8vizN31qe3UvP/LXCUFH8nFx53hXFxymKAaCBovhZWZpwlpImmS2LSkXxWFlaPLQsOvIoisfOUlmYsvZtVEXxM1Iq+vPXLWXp3CuK3xVF8btSOp/565ay9MxfKwwVxc/I1eddUXycohgAGiiKn5UtRfGUtRJRUTxWlhYPa+d4KYricbNUFLaUxCmK4mdk6Ry2nL/SzyqK35VSwaQoHjNLz+3Wc7n0s2uFoaL4GVk6d2eed0XxcYpiAGigKH5+0qQzTR6XJpVTakWionisLJ3n2vktRVE8ZpZKwpSWX1mQoii+P3t/5cSUpWtAUfyuKIrfk6W/4N/yzF565q8Vhori+3PHeVcUH6coBoAGiuLxsjS5rE1QFcVjZen8ls5tLYri8bJUEG4tGRXF92bpV05sOX8pS9eBovhdURS/I0vncevzeumZv1YYKorvzV3nXVF8nKIYABooisfM0iS1NMlUFI+VpcXD1gVIiqJ4nCyVi3tLRkXxvVkqeVt/5URtG4rid6X0DFcUj5Wl5/XWc7i0jaW53DyK4nuzdM6uOO+K4uMUxQDQQFE8bpYmmSn56xTFY2XpvCqK35ueJXGKovi+LBW8e87h0nYUxe+Konj89HpWL21nrTBUFN+XpfN11XlXFB+nKAaABorisZNPMpcmmorisbK0eNizCFEUPz+9S+IURfE9WTqXe8+hovj9URSPnaXzt+c5nbL0zM/ncXkUxffk7vOuKD5OUQwADRTFY6dloqkoHitL53TPQkRR/OwsFYtTtv6qgnkUxfckP4dHzqOi+P1ZKpxSFMVjJD9ve87dlKVnfj6Py6Movif5ebr6vCuKj1MUA0ADRfHYWZpo5qWionistJzTliiKn5uzSuIURfH1SSVufh5T2Zv++54sFcWl7U37oCgeK4ricZPKvPy8pWd0+u97Unrm569LmfZBUXx90vi3nqeW7DnviuLjFMUA0EBRfH7SJG9pMpi/bk9KE835axTFY6XlnLZEUfzMpHIvLwF7lcQpiuLrUzunZ2faB0XxWFEUj5ulOd1VmfZBUXx9nnDeFcXHKYoBoIGi+PwsTS73FH9LaSkVFcVjpeWctkRR/LwsfVN0So+SOEVRfH0UxbI1iuJxszSnuyrTPiiKr88Tzrui+DhFMQA0UBSfn9KCMH/dnuTbTJn/z9RSFMVjRVH8zpRK4vTfe5XEKYri66Molq0pzQsUxc/PEwpDRfH1ecJ5VxQfpygGgAaK4muST/pS8kJ3a1oXmorisaIofl9qJXH+2qNRFF8fRbFsTevzey2K4uvzhMJQUXx9nnDeFcXHKYoBoIGi+JoslX/zyd+elCat+UJTUTxWlq4VRfG4ubIkTlEUj5+la2b+D9ctRVE8VhTFMmXpmb/2RQJF8fjZc94VxccpigGggaL4mpRK3T0FYEppkbm0PUXxWFlaPCyd17Uoiu9N+nUSS4XfmSVxiqJ4/CxdN4rid6X0DFcUx8vSM3+tMFQUj589511RfJyiGAAaKIqvy9KkMCX99y2Lw9ICM2VpO4risbJ0nSiKx0oqifOir7XwOxpF8fhRFL8/pef40jO8FkXx+Fl65q8Vhori8bPnvCuKj1MUA0ADRfF1KS0Mp6RJY2mSmH629K3k+c/nP5eiKB4rS4uH0rmtRVF8T2olcUoqAXtn/v6K4vGTzml+3SiK35XSfEBRHC9Lz/zSXHCKonj87DnviuLjFMUA0EBRfG1Ki8OjqRWJiuKxsrR4qJ3fUhTF9+Tqf9hMUfy+KIrfn9JcQFEcL0vP/LXCUFE8fvacd0XxcYpiAGigKL4+pQXi3qyViIrisbK0eFg7x0tRFN8TRbEcjaL4/SnNAxTF8bL0zF8rDBXF42fPeVcUH6coBoAGiuL7sjRJ3JqWRaWieKwsXReK4nGiKJajURS/P4pimbL0zF8rDBXF42fPeVcUH6coBoAGiuL7kyaGSxPGUtLrtywmFcVjZelaUBSPE0WxHI2i+P1RFMuUpWf+WmGoKB4/e867ovg4RTEANFAUPyvTP1qXJ/33rQvIKYrimFEUx4yiOGYUxTGjKI4ZRXHMKIqPUxQDQANF8fujKI4ZRXHMKIpjRlEcM4rimFEUx4yi+DhFMQA0UBS/P4rimFEUx4yiOGYUxTGjKI4ZRXHMKIqPUxQDQANF8fujKI4ZRXHMKIpjRlEcM4rimFEUx4yi+DhFMQA0UBS/P4rimFEUx4yiOGYUxTGjKI4ZRXHMKIqPUxQDQANF8fujKI4ZRXHMKIpjRlEcM4rimFEUx4yi+DhFMQA0UBS/P4rimFEUx4yiOGYUxTGjKI4ZRXHMKIqPUxQDQANF8fujKI4ZRXHMKIpjRlEcM4rimFEUx4yi+DhFMQA0UBS/P4rimFEUx4yiOGYUxTGjKI4ZRXHMKIqPUxQDQANF8fujKI4ZRXHMKIpjRlEcM4rimFEUx4yi+DhFMQA0UBS/P4rimFEUx4yiOGYUxTGjKI4ZRXHMKIqPUxQDQANF8fujKI4ZRXHMKIpjRlEcM4rimFEUx4yi+DhFMQA0UBS/P4rimFEUx4yiOGYUxTGjKI4ZRXHMKIqPUxQDQANF8fujKI4ZRXHMKIpjRlEcM4rimFEUx4yi+DhFMQA0UBS/P4rimFEUx4yiOGYUxTGjKI4ZRXHMKIqPUxQDQIM0sfzT73xfXpx0jnM//PFPP7xO3pXv//Av89P+6Uc/+dmH18m7kkqi3I9/8vMPr5N35c9/8KP8tH/6yc/+6sPr5F35zvd+mJ/2Tz/9+V9/eJ28K+kv/3I/+6u/+fA6eVfSX/ZzjKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMV38+q//+qdf/dVf/WXS/w8AAAAAjEFRfIFUmn722WfdMy9lU77+9a/nb32JtA/5vk37BwAAAAA8n6L4AmcVxaVc+Y3eVE7n7z/PVfsBAE1+/B+WQz/52BrjXf7J7/3rT3/3a7/2eT77j//oQ9J/T6/5zW//p/xHaZDGbRrjfGyn8Z3GmG3S+mD6Xxvma4P5emVas9z1ZZeRzf/XnPnYzsd4Gl9j3FH+bPOMe4TpOn9KYGSK4gtcXRTPc/a3eluODQAe4ff/4adP//mz5VjkHZfGMB/XKWnsWVUrLteiNF43lcP52LVEaVyXipGWdUEtZ69bRrdWvrdEgXWAZ9yj5df63XE/Y2RavAscnTT1yFk3qrVjO+t9AWCTWkmcoig+praAtohelQrMvQVxHmXxsr0FcZ50nvhSKh6Plpd5rB++am29tScK44084x4vv8bvjvsYI1MUX+CMh/ve9P5VEGmSkb/HPG6QANxurSROURTvt7aAtoiuSsVuXkYejTLzq3qV8PMo5NfXAUeS1hDKzPK/BdMjvdeFr+UZN4T8+r47ehBGpii+wJOK4pTeN63aBOaNapNiEy6Ah2kpiVMUxfu0LKBTLKIXnVEST1EWf+GMknhK5LK4Nv/vmahlcW290TO914Wv4xk3jPzavjs+W4zsnU3ew9SK4q03kOmXo6dttvwjBqVsfd81+TH23v6T1CZuimKAB2ktiVMUxdu1LqBTLKI/OLMknhK9LD6zJJ4SsSzO5/1nJ6J8DM6M9UuBZ9xQ8uv67ry5D+H9Yj55L1abTPW8gUzFcf4epfR870gUxQAPt2VxN0VRvM2WEj7FIvorWkvi0j+gtuUfZVv6+QhaS+LSPwK45R8WjKQ2D86T5sXTl1xy05de8p9ZSrQ1S+t6Lr1uGuPc9MWi1m0tbSM0z7jh5Nf03dELMDJF8QVqk6AzJj7pQd86KTjj/d+uNkH2QAC4USp7ty7upiiK2/zJv/g4di2xiP6KtQIy/flSeblkbVsprdt6i5YivrVAb9lWpG9ut6wxtpaOtbXS3m2OqrbOmLJ1/dayNty6zdfyjGOD2r0ryj2Ld1IUX6B2AznzoVx736v24Y1qEzhFMcANUsm7d3E3RVFcl8Z3bwmfYhH9S2vfBN5TOq6VxXu2ObL8+PNsLc5byuKt2xxRbQ58dE1x5rZHslboHimfztz28Dzj2CH/DE2Jcr/ivRTFF6gVtmffRFr+Bjkl9MRgo9pEVlEMcJEe5fA8DyqKS8/tyx1dOM/zoEX03eO7Vurutbbdq4rMu8d3rdRt/SZxbm27V5XxpXnoFXPQ2pqmxzkuXTu9tt/izvFN8vftuQ+lY+u1/Val83y5lz7juEbtfqhbYXQ33JHjqd1Ezi6KJ6UH8tX78Qa1SdZVEyyA0PIFWkvWfm+xovhLewr4tEiu/dyDFtF3ju/at4mPlrn59ubZW5Budef4Jvlxz3O0zF07f1cozUOvmIPm7zlPr2Ik3+7Vx3jn+F6xZqy9R8oV7r5HVJ9VpQz0jOMa+fV7y7UMJ3EVX6D2QO710G+Rv3eeKyZAb1CaQBpDgIvkC7S1TCVw/t+XXvMAwy2ipwVy7ecetIi+c3xr3/o9WmImTygy7xzftW/9Hi3ik3yb81xRxpfmoWfPQUvv2/v8lq6flCvWTaXjPHt8k9qx93r/0vFN6VX415SO8zK1Z9VSBnvGcb5av3PFZwjOduEdOa7ajeSKCc9kbWKQMoJ0HGlMU9L45Zn+7Cy1cTzzfUtax+OOfduidhzTf7/zwVvbv6fs46R1X2FY+QKtlLSoa/05RfGXaovhedLCeD5utZ970CL6zvHNi8UzSsZ8u/P0KErX3Dm+VxTltffoUfavKc1Dz36up+3n73nGe9feJ11bZ7trfJP8PefpKd/2PFfMY++8R3yu9qzKn1sDPuM4X37t3nIdw4lcyRe4e8IzV3owT9kzCapts5faGNYylWJ75NvqmaP2jkfKkTGpqe1TTe36KeWKSWyS3mfP/qWk8bhqP5OpHM73Yy1nXQ9L0j5eOSa8WL5Ay5Mv7lp+bun1Nynddy5TWwxPyUv4tZ970CL6rvGtFYy9Ssyk9j69yuiau8Y3yY/3rGPPtz3P2e4qMmtzjN7P9nz785ztrvFN8vec0nu9WDuXVxznnfeIz9WeVS94xnGu2uen970Q7nLhHTmu2s2k94O/Rb4PR/en9LBPOao2dluz9djyn++ZvXqOR8rWMamp7duS2nXTkvTzZz2MjxTESzlrP5Oe+3rG4qC0f2e8F4HkC7T5wq5W+Oavn6f2cxdb+sykXKa0GJ5+R2NJ6eemn32Iu8b37F87MVn79Qtnu2t8146757epa+eyZyG95K4is3Rezzi3+fbPfK/cXeNbet8z3rs2Z+/9XktK19JlSs+qlzzjOFd+3d5yDcPJXM0XqD2MexZ1rUoP5703uNr2jqht90haS7v853pmq1LZ1iO9CtfadT5XmwjvSY99nztznHvrPZYpva6HZG3/zhgTgpgvztLCba0gnuQLu3lafv4ipfvQZeaL4WnhXFs8TwZZRN81vnmheGa5mG9/np6F6ZK7xrf2TeqUnmrv1bP0X1J6tp5d8JXO6xnnNt/+me+Vu2t8S+97xnvX5uy932tJ6Vq6zMufcZznys8p3OnCO3JctYfxHUVJbX/23ORKD/uUvWrb7JGWIiz/mZ7ZovZA6pmWMampXVfTts84lp6fobOvu5H29ej1kOTbXEqP9yGgVOruKXbzhd08e7Z3ktLn+zJ7x3eQRfRd45sXimeVmEm+/Xl6l9K5u8a3Vt72Pubae6WcqTSX2jp/f7L82K68jiKMb23OfsVx3nWP+KWXP+M4T37N3nL9wgVc0ReoPYx7Fkdb5PtxZJ9KD/uUPWrbmyeNa0qa0KVM/3/rz6/JX98zW+Q/W0o+HlvHZOt5z9Wu87QvLfuwNz3Kxi37l147T/7ntRwd56Q21vl7TdfA/Fpo3ecj49q6j+l1cJl8YTfPnkXjSUqf0ccbZBF9x/jWfi3CGd9ArRWZvUvT3B3jm9R+HcQZ36LO32OeM0UoMvNju/I6ijC+tTnaFcd51z3isEGecZN8fO/MkTXFU5TuDSlXfG7gSgPckcdXexj3KI32KD2gp2xR29ZWtRtwSnqv1gdNbb+mbdXkBds8+bbm28xfu5RWa8eQ0joe6X3Xtrdl33K1can92TRmS8cxFd75zyzliLVxSZn2s6a1EF/bTk3LeLRuf21f1z4jNbVz3us9YLN8YTePovi4QRbRd4xvrbi9uig+4/3m7hjfJD/Oea4uis94v0lpHtD67H+60vFddR2V3v8t45uUPqNXHWfp/R9vkGfcJB/fO7O0zhtNfkzzwNu4qi9QK0zuKklq+7T1Zld62G/dTpL//Dx7HjClyd5Z2+w5uaq9T8rea6d2vlL2Wrum8qT92DL+a/u9ZVtzLfu9ddtr527PNif5dubZc02s7euebSYt43pk+7BLvrCbR1F83CCL6DvGt/Zt1zO+4Vv7BnPKme4Y3zuO9+pzOik9t3vOQe9Umz9ccYxvH98kP7Z5rnDHPaKLQZ5xk3x878zedc9TlO4LKW+6N8BkgDvy+GoTnrtKktrNLmXLzbz0sE/ZorZPR8ap93Zr2+v5oDjzuqmds73HUNvfPHvf44z9zrczz5Fxrl0ne/e3NsZn7usea9ucsmccYLd8YTePovi4QRbRd4zv1aXiHcXp5I7xveN4rz6nk9Lz9S3P0/y45tmyPtnr7eN71lxyizvuEV0M8oyb5ON7Z6747J4pP5554I1c2Rd4wgN5Sb4v82yZDJUe9ilblCZmKUcfLr32Mant55ZxW5Nv+8g+5864JmvbnOfIuayNfcpWa/t8ZF+Tnvvbc1tLatvfe03k21kKXCpf2M2jKD5ukEX0HeN7R6mYv888Z/5qhDvG946i+K5f71F6Xvecg96ldGxXXEOT0j68YXyT0ufzymMs7cPjDfKMm+Tje2eOrqnuVLonpFz1mYGrDXBHHl+tjNpbwPSQ78vem17pYZ+yRW2cjj5cem77iofFFe+Rb3fK3muyNsZTto71knybR7af//w8vca59vnYsr+18d2ynZravu5Ru4577jc0yxd28yiKjxtkEX3H+OZF4jxnlbb5+1zxnskd43tHaXvHeyalZ2uvecudStfOlcf35vEtHduUq5TO8+MN8oyb5ON7Z0ae8+fH8pbjgpoB7sjjqxU8e0u5HvJ9mWfLZKj0sE/ZojZOR2/CtYnRlmNNem6r5MyxmPQ6b5PaPvfc79r7bHmP2nZ6fi57XS/5z87TS21MtuzrXDr+fLtpfLecK+gmX9jN07kozq/7O9PznlZ14SJ6tPHNi8R5zipt8/fZ8p6jje8dpe3R98yP88484Zlcmy/t2cf85+/M1n0/S23u3/I5mxvtHtHFhc84nqF2X9q7NoIR9GsYKKo9SC97sC3oNVmobWeL2jj1uBHn29y77SseGLWx6KXXeZvU9rnXuCS93qd2/Fu2s6bH9dJjG61K47LlngCPlS/s5lEUH3fhInq08c2LxHnWStu98vfZ8p6jje/R0naPo++ZH+edeUKRme/TPC3XQC7fxp15wviufaa37uPa9q7MnutjlwufcTxDfq3Ns/UzAyPZ1wixSe1BetmDbUGpENq6X7XtbHH2OKXtL2XrTf6K0q42Fr3U3mPrmCS9t1fSa/zzn52nt3z7U1qv66vGNun1eYZHyhd28yiKj7twET3a+OZF4jxrpe1e+fvMs/Z7kUcb36Ol7R6190xZkx/nnek9l9iqNvfYu3/5Nu7Mnv3vqTZ3Tmn5jOVGu0d0ceEzjvvVPjdb1pwwIiv/C9QepJc92BbUJmVb9qu2na3yn9+7T2e64qGR3mNeZs/TS+263DOh7b29kh7jX9vGU66zuZ6fsTW18wjDyxd28yiKj7twET3a+OYl4pZCca8j/4DeaONbK23XjnWvo/+AXn6cd6bnPG2rtWtt777l27kze4+hl3x/5mn5fC1ZO29XZu8xbHbhM4775dfZPHd/puFsVv4XqD1IL3uwLaiVT1v2q7adrWrbmtJaBp6lVjLevW9b1K7LPQ+/3tsr6TH+tX1t3caV8n08c19r49vzPMIt8oXdPIri4y5cRI82vnmJuKVQ3EtR3HaseymKj6vNOVJazn1Jvq07c9f4Jmtrq737Nto9oosLn3Hcq3Zvuux6gxttb/LYrPYgvfNGk+/L3v2qTUC2qt2U86T3PaMoW1Pbxzv2Z6/adbln0th7eyU9xr92zbZu4yo9jneLq98PLpUv7OZRFB934SJ6tPHNS8QtheJeiuK2Y91LUXxMbb6R0nLea/Lt3Zk7xjepzXeP7tdo94guLnzGca/aZ+fI5wZGsb3JY7Pag/SyB9uCfF/m2VII1W6ke9S2V8pUGl9x465NbLeM25XSPuepXZd7xrH39kp6jH/tGuu5rz30ON6t8vc5+/3gMvnCbp7ORfERpXvU4w2yiL5jfPMScZ6zfkfxkaL4iDvGt1YUn/U7io8WxXuV5gUjPaNLxzDPXfOx0r6NNL5J6XM45c41aGnfHm+QZxzHlO4Bd39u4EoD3JHHVyvQ7rzZ5Psyz5bJUOlhn7JXbZstmYrjM9QeHme9Z81U+k45OnYpeybntet8z/ZKeox/bYyepna8V6d1fOGx8oXdPIri4wZZRN8xvnmJOM9ZRXH+Ple8Z3LH+N5RFN/xnklpXjDKM7q0//P0nDduVdq/UcY3KX0Gp9y5/kxK+/d4gzzjOKZ0fabceW+CKw1wRx5frUC760FdmgRN2TIZqt1Mj6htd0t6l8a1sev5PiVTMZy/d8/seQjW9mnP9kp6jH/+c/M8TW1cr07r+MJj5Qu7eRTFxw2yiL5jfPMicZ6zStv8fa54z+SO8b2jtL3jPZPSPGiEZ3Rp3+fpOWfco7SPI4xvUvr8Tblr7TlX2sfHG+QZN8nH987c/bluVfr8T4EoXO0XqBU9dz2s126CW27mpYd9ylFpP2rb35oek7za2PXY/pIryuF5tpz/SW3/9myvpMf45z83z9PUxvXqtI4vPFa+sJtHUXzcIIvoO8Y3LxLnOau0zd/nivdM7hjfO0rbO94zKc2Dnv6MLu33PD3ni3uV9vPp45uUPntT7lp35kr7+XiDPOMm+fjemSd8tluUrs2RjgF6GOCOPL5a0XPXA7u2Tylb1G6ovfQsjNN2jtzoSxPIlDMmkWvn6ozsGZ/afu7ZXkmP8c9/bp6nqY3r1WkdX3isfGE3j6L4uEEW0XeM7x2/Lzh/n3nOdMf43vH7gmtF8VnnNCnNg578jC5dE/P0nCseMeL4lvZ5nrvWnEtK18PjDfKMm+Tje2ee8vmuWfscQSSu+AvUip67Htq1fdp6Iyw97Ldup1Xa99p7tmbvA6v2EOk9idxznOln0n6kpH2dZ652DeSvbdF7eyU9xj//uXmepjauV6d1fOGx8oXdPIri4wZZRN8xvlcXxXcUp5M7xveO4736nE5K86CnPqNL18M8PeeJR402vqX9neeu9WZJ6Zp4vEGecZN8fO/Mkz7jJaXrcpT9h54GuCOPr1b03PXgzvdjnq0TodpN9Wzppn2kON5z069NyLaOXU3rMU2F8Fa16/IJ2yvpMf75z83zNFeNK4SQL+zmURQfN8gi+o7xvfrbp7X3O/PXIiR3jG+SH+c8Z8jfY54zf7VHaR7UOge6UulamOdpc5mRxre0r/PctdasKV0XjzfIM26Sj++dedrnPLf2WYJoXPUXqBU9dzy8126EWydCpYd9ytX2lMZb1cZv69iVtBzD0Qdu7brcs+3e2yvpMf618e25rz30OF7gF/KF3TyK4uMGWUTfMb5XF7dXv9/cHeOb5Mc5zxnFbf4eZ7/fpDQveNqcoHQdTLljDdRilPEt7ec8T5vTTkrXxuMN8oyb5ON7Z556LU5K1+QI+w5nGOCOPL5agXbHJKm2P3tuhrUb651aS+OtE7/axGzrtpbUtp/S65qpXQdbr4Gk9/ZKauPTOv6166LnvvbQ43iBX8gXdvMoio8bZBF9x/he/asR7vq1CMkd45tcecxXn8+50rzgSXOC0jUwpddc9gwjjG9pH+d52nx2rnR9PN4gzzi2Wfs8QUSu/AvUCrSrJ0prN8I9+1N62Kc8QW389xxzbQx7TCJr+7t1X2tq77Nnctl7eyU9xv+qfe0l38etxwv8Qr6wm0dRfNwgi+i7xjcvE+fp/Q3UK0vT3F3je+W3qBXFy9K+lc7/lJ5z2TM8eXyT2hx2yhPnsnOla+TxBnnGsU3pekx5yucerjbAHXl8tQf61ZOl2r6k7JlY1G6uT1Ga9O3Zz9q2ejxM8m3Os+f8lNSuhT3v03t7JT3Gv7avrdu4Ur6PU66+f8Dw8oXdPIri4wZZRN81vnmZOE/vojjf/lUlZnLX+F5ZFNfe6+wivjQPunv+UtqveUaYt5SO4+7xTUqfrXl6zrnPUjqOxxvkGUe70ud9mGsSTuLqv0CtlLpywrR2I9x7Myw97LdsL+1bKb3U9nPL+9TG8egk8sxt52rX5ZbxmPTeXkmPMaptI6W32rXX4ujPA7+QL+zmURQfN8gi+q7xvapcrL1PytnuGt8kP9azjjvf9jw9z+WS0hymdQ50htI+PWX/tigdy937X/pcTUl/3nO+fabSsTzeIM842tXWr3d/5uFOA9yRx1e7AV1ZFOfvnWfvzbD0sE9pVRujXmrvseXYSxPIrdtZcua2c7Xx2DPR7L29kl5jlP/sPL0d/YzUxnbLMbfK3+PM94JL5Qu7eRTFxw2yiL5rfK/6dQW1XzvR+5u1S+4a36R27L0K3LXz2Pvb4bnSPOiuZ3Rpf+bpOQ88W+l47hrfpPSZmnLlerKH0vE83iDPONqUPuvDXI9wIp+AC9RKnqse7KUHco+bYW3brWpj1EvtYbBl8tdrO0tq49B7kt37vXpvr6TX+Oc/u3c7LfLtT9ny+c9/ds82WvQaX3ikfGE3j6L4uEEW0XeOb14qnlFk5ts94z1q7hzfK75NfcV71JSe03c8o0v7Mk/POeAVSsd0x/gmpc/TlN7zwCuUjunxBnnG0aa2dr3r8w5PMcAdeXy1m9AVD/fSw3ieI5O42vZb1caol9LEL2XLw6DXdpbUxuHotudqx5Cy53qo7fue7ZXU9n3LGNX2N6WX2v5u+fz3+Jy1qO3v0fOYfv7oNuCQfGE3j6L4uEEW0XeO79klY+0btT223+LO8U3yY57naFG+9m3io9tvUXpOb5kD9VDaj3lGfOaXjuvq8U1Kn6UpW+aRT1I6rscb5BnHutLnfMqI9y7oaYA78vhqhdSZD/i1G+CUoxOf0sM+pVVtX4/u36T2HlseBrXtHD2ftWvlinGYsmU8JrV937O9ktr+bx2j/OfP2Ofa52PL/tbG9+h1N1d7nz1jkn5maQy2HDt0ky/s5nlQUTwsi+hVZxaNZ257JGeW5WdueyS1udiROQNfWpo7zdNz7kcjz7jXqK13rFFAUXyJ2o3ojId8qZhZSo/3r73XFvnP9tzHpHYetk5m85+f54jaxLvHONS2P8/W8Uh6jm9N7Ri2Pthr+9xjv2v7mrJV7bN2dF+T3vu7tr0e1zRski/s5lEUH2cR3WStbNz7O27XthvFWmG+9/c0r203ShFfm4tM6TEniWpt7mT+dCPPuFdY+4y5f4Gi+BK1MqrXgz7d0Grvs5Re712bMG5R287WAjC39kDYqravRx8u+fZ6bXttDI6+T+3627O9ktpx7LlO8m3k2bvvtf1M2fP5q43xkX2d1K7rM8a2xz7DJvnCbh5F8XEW0U3WCseUrWXxWkm8txwdVe/xOOOcjag2T0jZM7fhS2tzR/Omm3nGvUJtPbVnvQNvtL0hY7PazShNqNIDf0/SdmvbrqXnRK42adxibXJ05MZd28c9210b9yOTuNq+pmyV9mVtm3n27H9tTPZsr6R2new5l7Xt7d3/lm3utXYut+5r0nKNbFW7HubZc85gt3xhN4+i+DiL6GZrRWZr8Zhe07KtaFqK3dayeO33SqdE+Dbx2jyh59oiopa54545Hh15xg1v7XPmMwZf2L76Z7PWwuSq9J7I1SaOW9W2Ne37lmKpZez3WHvITJnK/Dy1h1DLtlvGIG2ndvy1P6vtX0nv7ZXUxqdlXJasXXcp01/q1KT3b9nW3v2c5NvL0/o5WbtGpqwd95KW7ab0vh9BVb6wm0dRfJxF9CZ52VhKKiFT8TlP+m8tBXFKS+H8Ri0Fb0oax9IY569dSmvhPLKWuc2VaZnjjKQ2t70rLPCMG15tfWJNAl/yFLhA7YZ0dfYUPmtqk8c9atubZyrDpuJ1yvTf8tcv5ch4tO7nUtbet2Xb6TXzMZgnf22eaazy/z7/861q77tneyW1/T6ycGgZ83mm8Z+S/3kpPSYhtTHIs/camf/8Hq3vsXf7sEu+sJtHUXycRfQmLd96PZoI33StaS3TjySC/Nl9d47M956odc50ZVjgGTe0tfVTz/UqjM5T4AJPePinfTjr5lcryfZYu4n3So/xyLfZmpb3zn+mR9K5mt67Ns4t+5erXed7tldS2++jC4fatdwjPUvR2jj0ypH9bd2/o+cMNskXdvMoio+ziN7szLI4wjddW5xZFkf5tnb+7L47b5s71ObQd4UFnnFDq33Ojqx54I08BS5QuymdnTML4kmtXDuitt2j6TUmrWVYnpb337vtUvJJdW37LfuXq13ne7ZXUtvv/Bj3qB3HkZwxAUljcdbnpMdY5ttcClwqX9jNoyg+ziJ6lzPK4ujfJM71LovT9qKUxEn+7L47PeYoT3LW3PNIWOAZN6za+jGl51oV3sBT4AJXP/yvKIfnakXVUb3Hbv6N2p627ueWfaiNb0tKx1x7YC69fk1tDPZsr6S2370WDj0L2NL491Qb+63pub+1c5XS632gWb6wm0dRfJxF9CGtvxO3lmgF5hZpXHoUxhFL+Pz5fXd6zfeeouc8rldY4Bk3rNpn7Iwv88DoPAUuULsxHUm6qaWk7V9dDs/VCrVe0vHV3mctV4xP2v50Ltb2deu+7CkuW445/5kpaz+3pHad79leSa187L1wmM5p/j4tuWPS0XLtldJyveyxNIY9y2jYJF/YzaMoPs4i+rAt/4jaPNM/yMa6Lf8Q4DzTP3gXUT5nuDu953t3y+dJTwgLPOOGlV/f81iTwEeeAgwnL2TzTH+WXvfGG3/p2OfHTX+t191TtOzrWz8jAG8wlcZTsZln+jP2axnfqOUwABCTohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQnKIYAAAAACA4RTEAAAAAQHCKYgAAAACA4BTFAAAAAADBKYoBAAAAAIJTFAMAAAAABKcoBgAAAAAITlEMAAAAABCcohgAAAAAIDhFMQAAAABAcIpiAAAAAIDgFMUAAAAAAMEpigEAAAAAglMUAwAAAAAEpygGAAAAAAhOUQwAAAAAEJyiGAAAAAAgOEUxAAAAAEBwimIAAAAAgOAUxQAAAAAAwSmKAQAAAACCUxQDAAAAAASnKAYAAAAACE5RDAAAAAAQ3Gf/DwAAAACA0D4DAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACCS/w9WbOJrxsAJDAAAAABJRU5ErkJggg==\" alt=\"Diagram showing how the distance is calculated for an example with x = [4 3 2 4 2 3 1] and y = [3 1 2 4 1 4 4]. First, the third and fourth elements of x and y are matched and shown as green. Then the first element of x (4) is matched to the sixth element of y. The second element of x is matched to the first element of y. The seventh element of x is matched to the second element of y. These are all shown as yellow. The remaining elements of x are shown unmatched. The two green elements score 0, the three yellow elements score 1 (each), and the two black elements score 2 (each), for a total of 7.\" data-image-state=\"image-loaded\"\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: 405px 51.0875px; transform-origin: 405px 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: 0.8px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.8px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.8px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.8px; 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: 405px 10.2125px; text-wrap-mode: nowrap; transform-origin: 405px 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; \"\u003ex = [4 3 2 4 2 3 1];\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: 0.8px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.8px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.8px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.8px; 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: 405px 10.2125px; text-wrap-mode: nowrap; transform-origin: 405px 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; \"\u003ey = [3 1 2 4 1 4 4];\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: 0.8px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.8px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.8px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.8px; 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: 405px 10.2125px; text-wrap-mode: nowrap; transform-origin: 405px 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; \"\u003ed = PWGdist(x,y)\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: 0.8px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.8px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.8px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.8px; 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: 405px 10.2125px; text-wrap-mode: nowrap; transform-origin: 405px 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; \"\u003ed =\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: 0.8px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 0.8px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 0.8px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 0.8px; 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: 405px 10.2125px; text-wrap-mode: nowrap; transform-origin: 405px 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; \"\u003e7\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: 385px 10.5px; text-align: left; transform-origin: 385px 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eAssumptions\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: 385px 10.5px; text-align: left; transform-origin: 385px 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=\"\"\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: 0px 0px; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e will be nonempty numeric row vectors of the same length.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function d = PWGdist(x,y)\r\nd = sum(x-y);\r\nend","test_suite":"%% Test case #1: 1-element vector\r\nx = -3;\r\ny = -2;\r\nd = PWGdist(x,y);\r\nassert(isequal(d,2))\r\n\r\n%% Test case #2: 1-element vector\r\nx = 4;\r\ny = 4;\r\nd = PWGdist(x,y);\r\nassert(isequal(d,0))\r\n\r\n%% Test case #3: 2-element vector\r\nx = [8 4];\r\ny = [3 9];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,4))\r\n\r\n%% Test case #4: 2-element vector\r\nx = [5 4];\r\ny = [2 5];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,3))\r\n\r\n%% Test case #5: 3-element vector\r\nx = [4 5 2];\r\ny = [4 11 10];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,4))\r\n\r\n%% Test case #6: 3-element vector\r\nx = [4 8 6];\r\ny = [5 7 5];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,6))\r\n\r\n%% Test case #7: 4-element vector\r\nx = [6 3 6 1];\r\ny = [4 0 1 2];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,7))\r\n\r\n%% Test case #8: 4-element vector\r\nx = [2 -2 -3 9];\r\ny = [9 -1 5 1];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,7))\r\n\r\n%% Test case #9: 5-element vector\r\nx = [10 11 1 8 2];\r\ny = [10 -1 2 5 3];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,7))\r\n\r\n%% Test case #10: 5-element vector\r\nx = [9 0 7 5 9];\r\ny = [2 6 7 4 0];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,7))\r\n\r\n%% Test case #11: 6-element vector\r\nx = [6 5 3 -1 4 3];\r\ny = [0 4 5 -1 3 3];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,5))\r\n\r\n%% Test case #12: 6-element vector\r\nx = [5 9 3 8 3 7];\r\ny = [9 4 8 10 5 5];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,9))\r\n\r\n%% Test case #13: 7-element vector\r\nx = [1 4 -1 9 5 -3 -2];\r\ny = [10 12 6 1 9 -1 1];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,11))\r\n\r\n%% Test case #14: 7-element vector\r\nx = [6 5 6 7 6 7 5];\r\ny = [5 5 5 6 5 6 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,8))\r\n\r\n%% Test case #15: 8-element vector\r\nx = [13 5 7 7 13 14 6 8];\r\ny = [14 6 13 12 14 9 14 12];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,13))\r\n\r\n%% Test case #16: 8-element vector\r\nx = [4 8 4 6 2 5 6 5];\r\ny = [5 2 4 4 4 8 5 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,9))\r\n\r\n%% Test case #17: 9-element vector\r\nx = [17 15 13 17 8 6 9 11 13];\r\ny = [8 14 18 18 18 19 10 9 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,16))\r\n\r\n%% Test case #18: 9-element vector\r\nx = [-3 -3 -5 -5 -1 1 -2 -2 -2];\r\ny = [-1 -5 -4 -2 -1 -3 -1 -4 -4];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,13))\r\n\r\n%% Test case #19: 10-element vector\r\nx = [9 20 20 18 8 18 5 17 9 13];\r\ny = [12 10 9 13 13 8 5 19 10 16];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,15))\r\n\r\n%% Test case #20: 10-element vector\r\nx = [1 6 8 2 6 4 9 8 6 9];\r\ny = [6 2 5 6 10 6 6 8 11 6];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,14))\r\n\r\n%% Test case #21: 11-element vector\r\nx = [3 7 6 7 7 7 8 8 4 6 7];\r\ny = [5 5 4 7 6 3 3 6 6 3 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,14))\r\n\r\n%% Test case #22: 11-element vector\r\nx = [6 10 8 10 9 10 6 11 10 6 8];\r\ny = [9 8 11 9 7 10 11 5 7 8 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,16))\r\n\r\n%% Test case #23: 12-element vector\r\nx = [11 11 10 9 6 5 10 9 6 11 8 7];\r\ny = [12 8 9 8 6 9 5 7 6 11 8 7];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,11))\r\n\r\n%% Test case #24: 12-element vector\r\nx = [-5 -5 -2 -2 0 0 -4 -5 -3 0 -2 -3];\r\ny = [-5 0 0 -5 -5 -2 -2 -2 -2 -2 -3 0];\r\nd = PWGdist(x,y);\r\nassert(isequal(d,13))\r\n\r\n%% Test random vectors against themselves and against a single change\r\nfor k = 1:10\r\n    n = randi([1 12]);\r\n    m = randi(5);\r\n    x = randi(m,1,n);\r\n    y = x;\r\n    idx = randi(n);\r\n    y(idx) = -2;\r\n    d = PWGdist(x,y);\r\n    assert(d==2)\r\n    assert(PWGdist(x,x)==0)\r\nend","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2025-11-10T02:23:39.000Z","deleted_by":null,"deleted_at":null,"solvers_count":91,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2025-11-04T20:27:10.000Z","updated_at":"2026-04-13T22:20:41.000Z","published_at":"2025-11-10T02:23:39.000Z","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\u003eProfessor Ned, who holds the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eNedowed\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e Chair of Crackpot Mathematics at the University of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eNedsburg\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, has recently discovered the daily word puzzle Popular Word Game™ published by the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eNedsburg\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e Times. He has become so obsessed with it, he is trying to pioneer a whole new field of math based around the idea of a Popular Word Game distance metric: the distance between two points \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 is calculated using the rules of Popular Word Game to score \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 as a guess for the solution \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.\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 Popular Word Game, the elements, \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\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e), of \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 (which would be letters in the game) are scored using these rules:\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(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ej\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(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e), then \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\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) is shown as green (correct)\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(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ej\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(\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) for some \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 ≠ \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then \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\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) is shown as yellow (correct value/letter, but wrong location)\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\u003e    Elements of y can be used only once as a match\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\u003e    Precedence goes first to green matches, then to yellow\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\u003e    Evaluation goes in index order (left to right)\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, \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\u003ej\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) is shown as black (incorrect)\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 Professor Ned's metric, the elements of \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 are assigned numeric values according to these same rules, with green = 0, yellow = 1, black = 2. The distance between \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 is then the sum of these individual distance values.\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=\\\"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=\\\"397\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"Diagram showing how the distance is calculated for an example with x = [4 3 2 4 2 3 1] and y = [3 1 2 4 1 4 4]. First, the third and fourth elements of x and y are matched and shown as green. Then the first element of x (4) is matched to the sixth element of y. The second element of x is matched to the first element of y. The seventh element of x is matched to the second element of y. These are all shown as yellow. The remaining elements of x are shown unmatched. The two green elements score 0, the three yellow elements score 1 (each), and the two black elements score 2 (each), for a total of 7.\\\"/\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[x = [4 3 2 4 2 3 1];\\ny = [3 1 2 4 1 4 4];\\nd = PWGdist(x,y)\\nd =\\n7]]\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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eAssumptions\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 vectors \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 will be nonempty numeric row vectors of the same 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