{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2026-04-06T14:01:22.000Z","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":"2026-04-06T00:00:00.000Z","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":45498,"title":"Trace the path of a harmful chemical in an ecological network","description":"An ecological network consists of the cycles of nature, such as the water cycle, the carbon cycle, the oxygen cycle, etc. Due to human activities, harmful chemicals (or persistent pollutants) are now entering these cycles and may stay there forever. Your job is to track a specific unknown chemical inside an ecological network.\r\n\r\nFor this problem, a network involves *N* _sites_ in nature, labelled as _Site_ 1, _Site_ 2, ..., _Site_ *N*. Researchers have identified an ecological network for you, which is given as a [1 x *N*] row vector called *P*. The network is read as follows: \"A chemical that enters _Site i_ always end up at _Site *P*(i)_\". Consider the following example:\r\n\r\n If a chemical enters Site: 1 2 3 4 5\r\n it will end up at Site: P = [3 1 5 2 4]\r\n \r\nIf a harmful chemical enters the ecological network from _Site 2_, it will be traced to _Site 1_ (which is *P*(2)), then eventually at _Site 3_, then at _Site 5_, then at _Site 4_, then back to _Site 2_. Hence, the path of this chemical is [2 1 3 5 4].\r\n\r\nWrite a function that takes a vector *P* and a starting site *S*. Output the path of the chemical after it enters _Site *S*_ in the given ecological network. You are ensured that:\r\n\r\n* *P* is always a permutation of integers 1 to *N*.\r\n* 2 \u003c= *N* \u003c= 100\r\n* 1 \u003c= *S* \u003c= *N*\r\n\r\nSee sample test cases:\r\n\r\n \u003e\u003e trace_chemical([3 1 5 2 4],2)\r\n ans = \r\n 2 1 3 5 4\r\n\u003e\u003e trace_chemical([3 1 5 2 4],1)\r\n ans =\r\n 1 3 5 4 2\r\n\u003e\u003e trace_chemical([4 1 6 5 2 3],1)\r\n ans =\r\n 1 4 5 2","description_html":"\u003cp\u003eAn ecological network consists of the cycles of nature, such as the water cycle, the carbon cycle, the oxygen cycle, etc. Due to human activities, harmful chemicals (or persistent pollutants) are now entering these cycles and may stay there forever. Your job is to track a specific unknown chemical inside an ecological network.\u003c/p\u003e\u003cp\u003eFor this problem, a network involves \u003cb\u003eN\u003c/b\u003e \u003ci\u003esites\u003c/i\u003e in nature, labelled as \u003ci\u003eSite\u003c/i\u003e 1, \u003ci\u003eSite\u003c/i\u003e 2, ..., \u003ci\u003eSite\u003c/i\u003e \u003cb\u003eN\u003c/b\u003e. Researchers have identified an ecological network for you, which is given as a [1 x \u003cb\u003eN\u003c/b\u003e] row vector called \u003cb\u003eP\u003c/b\u003e. The network is read as follows: \"A chemical that enters \u003ci\u003eSite i\u003c/i\u003e always end up at \u003ci\u003eSite \u003cb\u003eP\u003c/b\u003e(i)\u003c/i\u003e\". Consider the following example:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eIf a chemical enters Site: 1 2 3 4 5\r\n it will end up at Site: P = [3 1 5 2 4]\r\n\u003c/pre\u003e\u003cp\u003eIf a harmful chemical enters the ecological network from \u003ci\u003eSite 2\u003c/i\u003e, it will be traced to \u003ci\u003eSite 1\u003c/i\u003e (which is \u003cb\u003eP\u003c/b\u003e(2)), then eventually at \u003ci\u003eSite 3\u003c/i\u003e, then at \u003ci\u003eSite 5\u003c/i\u003e, then at \u003ci\u003eSite 4\u003c/i\u003e, then back to \u003ci\u003eSite 2\u003c/i\u003e. Hence, the path of this chemical is [2 1 3 5 4].\u003c/p\u003e\u003cp\u003eWrite a function that takes a vector \u003cb\u003eP\u003c/b\u003e and a starting site \u003cb\u003eS\u003c/b\u003e. Output the path of the chemical after it enters \u003ci\u003eSite \u003cb\u003eS\u003c/b\u003e\u003c/i\u003e in the given ecological network. You are ensured that:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cb\u003eP\u003c/b\u003e is always a permutation of integers 1 to \u003cb\u003eN\u003c/b\u003e.\u003c/li\u003e\u003cli\u003e2 \u0026lt;= \u003cb\u003eN\u003c/b\u003e \u0026lt;= 100\u003c/li\u003e\u003cli\u003e1 \u0026lt;= \u003cb\u003eS\u003c/b\u003e \u0026lt;= \u003cb\u003eN\u003c/b\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eSee sample test cases:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; trace_chemical([3 1 5 2 4],2)\r\n ans = \r\n 2 1 3 5 4\r\n\u0026gt;\u0026gt; trace_chemical([3 1 5 2 4],1)\r\n ans =\r\n 1 3 5 4 2\r\n\u0026gt;\u0026gt; trace_chemical([4 1 6 5 2 3],1)\r\n ans =\r\n 1 4 5 2\r\n\u003c/pre\u003e","function_template":"function y = trace_chemical(P,S)\r\n y = P;\r\nend","test_suite":"%%\r\nfiletext = fileread('trace_chemical.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nP = [3 1 5 2 4];\r\nans = [2 1 3 5 4];\r\nassert(isequal(trace_chemical(P,2),ans))\r\n%%\r\nP = [3 1 5 2 4];\r\nans = [1 3 5 4 2];\r\nassert(isequal(trace_chemical(P,1),ans))\r\n%%\r\nP = [2 5 8 6 10 9 3 4 7 1 ];\r\nans = [8 4 6 9 7 3 ];\r\nassert(isequal(trace_chemical(P,8),ans))\r\n%%\r\nP = [36 15 70 23 1 60 35 13 19 41 48 20 49 44 68 29 9 61 51 38 ...\r\n 32 2 40 8 72 39 26 28 67 69 42 76 66 34 47 46 11 77 71 64 ...\r\n 4 37 80 18 74 52 7 33 58 50 27 3 45 55 65 43 21 54 31 6 ...\r\n 24 63 57 30 12 78 22 75 14 10 16 17 81 53 59 25 56 5 73 62 ...\r\n 79 ];\r\nans = [60 6 ];\r\nassert(isequal(trace_chemical(P,60),ans))\r\n%%\r\nP = [8 45 12 53 33 15 29 39 40 21 9 26 32 58 20 43 54 17 48 55 ...\r\n 5 49 37 57 16 46 36 10 34 6 38 50 11 27 22 42 19 4 13 47 ...\r\n 52 2 23 25 35 24 30 56 44 41 28 14 51 31 7 3 1 18 ];\r\nans = [35 22 49 44 25 16 43 23 37 19 48 56 3 12 26 46 24 57 1 8 ...\r\n 39 13 32 50 41 52 14 58 18 17 54 31 38 4 53 51 28 10 21 5 ...\r\n 33 11 9 40 47 30 6 15 20 55 7 29 34 27 36 42 2 45 ];\r\nassert(isequal(trace_chemical(P,35),ans))\r\n%%\r\nP = [9 28 7 42 18 16 30 17 24 20 41 29 13 15 44 8 27 23 12 19 ...\r\n 21 32 40 49 11 47 14 25 35 36 46 38 33 45 34 4 43 48 31 5 ...\r\n 3 10 26 39 37 1 22 6 2 ];\r\nans = [24 49 2 28 25 11 41 3 7 30 36 4 42 10 20 19 12 29 35 34 ...\r\n 45 37 43 26 47 22 32 38 48 6 16 8 17 27 14 15 44 39 31 46 ...\r\n 1 9 ];\r\nassert(isequal(trace_chemical(P,24),ans))\r\n%%\r\nP = [39 27 32 17 22 3 21 8 4 16 45 37 40 2 19 11 51 36 50 43 ...\r\n 13 44 12 30 48 28 42 35 10 14 5 38 15 9 20 18 6 26 31 24 ...\r\n 23 41 34 1 46 7 47 33 49 29 25 ];\r\nans = [11 45 46 7 21 13 40 24 30 14 2 27 42 41 23 12 37 6 3 32 ...\r\n 38 26 28 35 20 43 34 9 4 17 51 25 48 33 15 19 50 29 10 16 ];\r\nassert(isequal(trace_chemical(P,11),ans))\r\n%%\r\nP = [19 10 17 9 18 7 13 14 20 21 5 3 6 16 8 12 15 11 2 4 1];\r\nans = [4 9 20 ];\r\nassert(isequal(trace_chemical(P,4),ans))\r\n%%\r\nP = [12 1 5 66 26 29 64 68 2 33 38 41 55 8 18 49 27 47 22 50 ...\r\n 35 24 16 13 60 34 46 36 6 56 67 30 42 48 19 37 63 57 11 17 ...\r\n 40 59 15 23 45 32 61 44 53 31 28 10 62 9 21 7 52 14 39 51 ...\r\n 58 65 54 43 3 4 20 25 ];\r\nans = [26 34 48 44 23 16 49 53 62 65 3 5 ];\r\nassert(isequal(trace_chemical(P,26),ans))\r\n%%\r\nP = [65 8 29 66 49 72 61 38 18 33 58 62 67 40 20 27 46 1 5 6 ...\r\n 14 75 82 74 23 37 54 22 78 41 4 53 13 47 57 51 17 69 77 71 ...\r\n 64 35 25 44 21 70 19 76 36 10 81 42 60 79 28 31 9 48 3 56 ...\r\n 24 59 11 50 7 26 30 16 52 39 15 2 68 73 34 80 32 12 63 55 ...\r\n 45 43 ];\r\nans = [17 46 70 39 77 32 53 60 56 31 4 66 26 37 ];\r\nassert(isequal(trace_chemical(P,17),ans))\r\n%%\r\nP = [1 17 15 6 13 33 28 36 4 22 44 23 32 40 26 12 41 30 8 34 ...\r\n 37 14 21 5 9 10 29 3 35 38 11 43 31 16 19 27 24 45 39 7 ...\r\n 2 42 20 18 25 ];\r\nans = [14 40 7 28 3 15 26 10 22 ];\r\nassert(isequal(trace_chemical(P,14),ans))\r\n%%\r\nP = [1 17 21 15 6 24 13 5 4 18 2 9 3 29 10 28 12 23 11 25 ...\r\n 20 19 8 16 27 26 7 22 14 ];\r\nans = [10 18 23 8 5 6 24 16 28 22 19 11 2 17 12 9 4 15 ];\r\nassert(isequal(trace_chemical(P,10),ans))\r\n%%\r\nP = [6 2 3 4 1 7 5 ];\r\nans = [3 ];\r\nassert(isequal(trace_chemical(P,3),ans))\r\n%%\r\nP = [11 19 15 23 14 10 3 4 25 7 24 1 18 26 6 16 17 20 12 2 ...\r\n 13 22 9 21 8 5 ];\r\nans = [16 ];\r\nassert(isequal(trace_chemical(P,16),ans))\r\n%%\r\nP = [20 16 5 9 30 28 8 24 14 15 23 4 29 11 22 19 26 17 25 6 ...\r\n 27 18 3 2 1 13 31 12 10 21 7 ];\r\nans = [11 23 3 5 30 21 27 31 7 8 24 2 16 19 25 1 20 6 28 12 ...\r\n 4 9 14 ];\r\nassert(isequal(trace_chemical(P,11),ans))\r\n%%\r\nP = [1 18 16 8 15 21 27 22 23 17 26 19 3 4 9 11 7 6 29 2 ...\r\n 12 25 24 5 14 28 20 10 13 ];\r\nans = [22 25 14 4 8 ];\r\nassert(isequal(trace_chemical(P,22),ans))\r\n%%\r\nP = [38 48 42 87 57 89 92 12 20 62 59 51 26 29 45 55 10 71 44 69 ...\r\n 34 60 30 77 53 11 54 14 23 15 22 43 49 13 41 5 47 91 68 37 ...\r\n 9 3 76 31 85 33 40 1 63 70 18 8 17 35 90 36 24 83 94 21 ...\r\n 73 27 61 78 39 82 64 93 66 6 67 84 56 80 19 50 95 2 75 46 ...\r\n 74 16 81 72 4 25 86 32 28 52 65 58 88 7 79 ];\r\nans = [54 35 41 9 20 69 66 82 16 55 90 52 8 12 51 18 71 67 64 78 ...\r\n 2 48 1 38 91 65 39 68 93 88 32 43 76 50 70 6 89 28 14 29 ...\r\n 23 30 15 45 85 4 87 86 25 53 17 10 62 27 ];\r\nassert(isequal(trace_chemical(P,54),ans))\r\n%%\r\nP = [69 48 11 21 80 50 75 64 41 54 23 82 61 45 25 10 74 63 72 8 ...\r\n 15 81 42 60 59 65 35 37 70 33 76 24 36 49 56 18 38 6 44 39 ...\r\n 4 17 52 51 32 43 1 46 55 73 34 28 58 31 68 29 67 22 66 12 ...\r\n 53 5 16 77 19 7 13 26 57 79 3 47 71 40 14 30 2 20 62 9 ...\r\n 78 27 ];\r\nans = [27 35 56 29 70 79 62 5 80 9 41 4 21 15 25 59 66 7 75 14 ...\r\n 45 32 24 60 12 82 ];\r\nassert(isequal(trace_chemical(P,27),ans))\r\n%%\r\nP = [78 59 84 70 19 82 34 69 29 92 6 51 52 28 10 32 31 33 4 73 ...\r\n 24 89 99 68 64 47 46 95 94 21 53 44 62 26 93 91 58 55 98 79 ...\r\n 11 35 48 40 22 66 87 80 63 43 12 97 13 17 67 20 1 85 60 81 ...\r\n 25 50 88 49 96 90 76 83 36 15 75 23 41 86 39 9 8 54 7 61 ...\r\n 2 72 45 38 16 71 56 37 3 14 27 74 5 57 65 18 42 30 77 ];\r\nans = [85 16 32 44 40 79 7 34 26 47 87 56 20 73 41 11 6 82 72 23 ...\r\n 99 77 8 69 36 91 27 46 66 90 14 28 95 65 96 18 33 62 50 43 ...\r\n 48 80 61 25 64 49 63 88 37 58 ];\r\nassert(isequal(trace_chemical(P,85),ans))\r\n%%\r\nP = [86 17 25 63 38 72 9 64 56 10 7 26 43 28 36 40 24 71 41 22 ...\r\n 27 80 21 1 54 84 42 11 60 73 6 46 78 50 67 66 20 23 77 74 ...\r\n 57 44 85 75 16 13 47 14 29 48 19 58 2 39 81 83 59 33 49 61 ...\r\n 69 53 3 35 8 55 32 18 31 30 12 51 34 65 87 62 5 52 15 45 ...\r\n 4 68 82 76 70 37 79 ];\r\nans = [36 66 55 81 4 63 3 25 54 39 77 5 38 23 21 27 42 44 75 87 ...\r\n 79 15 ];\r\nassert(isequal(trace_chemical(P,36),ans))\r\n%%\r\nP = [25 7 4 6 16 30 24 28 9 3 31 13 10 23 2 26 29 8 5 20 ...\r\n 18 27 21 11 22 17 12 19 1 15 14 ];\r\nans = [21 18 8 28 19 5 16 26 17 29 1 25 22 27 12 13 10 3 4 6 ...\r\n 30 15 2 7 24 11 31 14 23 ];\r\nassert(isequal(trace_chemical(P,21),ans))\r\n%%\r\nP = [30 31 13 37 59 49 28 25 65 61 22 8 43 80 64 18 2 74 46 14 ...\r\n 85 12 62 5 55 67 48 42 78 83 47 15 79 89 34 68 54 90 3 44 ...\r\n 72 40 21 24 60 82 35 50 66 11 41 77 75 7 16 27 73 10 76 71 ...\r\n 33 56 39 53 38 19 36 84 69 81 23 87 9 51 70 86 88 1 26 57 ...\r\n 63 20 4 52 29 45 58 6 17 32 ];\r\nans = [78 1 30 83 4 37 54 7 28 42 40 44 24 5 59 76 86 45 60 71 ...\r\n 23 62 56 27 48 50 11 22 12 8 25 55 16 18 74 51 41 72 87 58 ...\r\n 10 61 33 79 26 67 36 68 84 52 77 88 6 49 66 19 46 82 20 14 ...\r\n 80 57 73 9 65 38 90 32 15 64 53 75 70 81 63 39 3 13 43 21 ...\r\n 85 29 ];\r\nassert(isequal(trace_chemical(P,78),ans))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":32,"test_suite_updated_at":"2020-05-07T02:09:17.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-05-06T19:35:57.000Z","updated_at":"2025-12-07T16:54:53.000Z","published_at":"2020-05-06T19:53:21.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAn ecological network consists of the cycles of nature, such as the water cycle, the carbon cycle, the oxygen cycle, etc. Due to human activities, harmful chemicals (or persistent pollutants) are now entering these cycles and may stay there forever. Your job is to track a specific unknown chemical inside an ecological network.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, a network involves\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\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\u003esites\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e in nature, labelled as\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eSite\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e 1,\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\u003eSite\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e 2, ...,\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\u003eSite\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Researchers have identified an ecological network for you, which is given as a [1 x\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e] row vector called\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The network is read as follows: \\\"A chemical that enters\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\u003eSite i\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e always end up at\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\u003eSite\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e(i)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e\\\". Consider the following example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[If a chemical enters Site: 1 2 3 4 5\\n it will end up at Site: P = [3 1 5 2 4]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf a harmful chemical enters the ecological network from\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\u003eSite 2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, it will be traced to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eSite 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (which is\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(2)), then eventually at\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\u003eSite 3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then at\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\u003eSite 5\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then at\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\u003eSite 4\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then back to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eSite 2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Hence, the path of this chemical is [2 1 3 5 4].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes a vector\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and a starting site\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Output the path of the chemical after it enters\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\u003eSite\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e in the given ecological network. You are ensured that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is always a permutation of integers 1 to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSee sample test cases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e trace_chemical([3 1 5 2 4],2)\\n ans = \\n 2 1 3 5 4\\n\u003e\u003e trace_chemical([3 1 5 2 4],1)\\n ans =\\n 1 3 5 4 2\\n\u003e\u003e trace_chemical([4 1 6 5 2 3],1)\\n ans =\\n 1 4 5 2]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45413,"title":"Characterize fluid flow in a pipe as to laminar or turbulent","description":"In fluid mechanics, characterizing the flow in a pipe is essential to predicting its behavior. The flow pattern can either be laminar (smooth/sheet-like), turbulent (rough/chaotic), or transitioning from laminar to turbulent. Intuitively, flow velocity is a dominant factor in determining the flow pattern: A slow-moving fluid is laminar, while a fast-moving one is turbulent. However, the flow pattern can also be influenced by pipe geometry, fluid viscosity, and fluid density.\r\n\r\nHence, instead of just flow velocity, engineers are using a number that better indicates the flow pattern called the Reynolds Number, *Re*. For a fluid flowing inside a circular pipe, *Re* is computed as follows:\r\n\r\n Re = D x v x rho / mu\r\n where:\r\n D = inside diameter of the pipe [m]\r\n v = mean flow velocity [m/s]\r\n rho = fluid density [kg/m^3]\r\n mu = fluid viscosity [Pa.s] or [kg/m/s]\r\n \r\nNote: Although it is not customary to use SI units for these quantities, this problem deals with SI units for ease. \r\n\r\nWe can then adopt the following rule: If *Re* \u003c 2300, the flow is laminar; if *Re* \u003e 2900, the flow is turbulent; otherwise, the flow is in transition. \r\n\r\nWrite a function that accepts a MATLAB variable, x, which is always a 4-element row vector containing the values (in SI) of |D|, |v|, |rho|, and |mu| in that order. Output the appropriate string among 'LAMINAR', 'TRANSITION', or 'TURBULENT', according to the rule above.\r\n\r\nSee sample test cases:\r\n\r\n \u003e\u003e flow_pattern([0.02 0.1 1000 8.9e-4])\r\nans =\r\n 'LAMINAR'\r\n\u003e\u003e flow_pattern([0.02 0.5 1000 8.9e-4])\r\nans =\r\n 'TURBULENT'\r\n\u003e\u003e flow_pattern([0.02 0.1 1200 8.9e-4])\r\nans =\r\n 'TRANSITION'\r\n \r\n","description_html":"\u003cp\u003eIn fluid mechanics, characterizing the flow in a pipe is essential to predicting its behavior. The flow pattern can either be laminar (smooth/sheet-like), turbulent (rough/chaotic), or transitioning from laminar to turbulent. Intuitively, flow velocity is a dominant factor in determining the flow pattern: A slow-moving fluid is laminar, while a fast-moving one is turbulent. However, the flow pattern can also be influenced by pipe geometry, fluid viscosity, and fluid density.\u003c/p\u003e\u003cp\u003eHence, instead of just flow velocity, engineers are using a number that better indicates the flow pattern called the Reynolds Number, \u003cb\u003eRe\u003c/b\u003e. For a fluid flowing inside a circular pipe, \u003cb\u003eRe\u003c/b\u003e is computed as follows:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eRe = D x v x rho / mu\r\n where:\r\n D = inside diameter of the pipe [m]\r\n v = mean flow velocity [m/s]\r\n rho = fluid density [kg/m^3]\r\n mu = fluid viscosity [Pa.s] or [kg/m/s]\r\n\u003c/pre\u003e\u003cp\u003eNote: Although it is not customary to use SI units for these quantities, this problem deals with SI units for ease.\u003c/p\u003e\u003cp\u003eWe can then adopt the following rule: If \u003cb\u003eRe\u003c/b\u003e \u0026lt; 2300, the flow is laminar; if \u003cb\u003eRe\u003c/b\u003e \u0026gt; 2900, the flow is turbulent; otherwise, the flow is in transition.\u003c/p\u003e\u003cp\u003eWrite a function that accepts a MATLAB variable, x, which is always a 4-element row vector containing the values (in SI) of \u003ctt\u003eD\u003c/tt\u003e, \u003ctt\u003ev\u003c/tt\u003e, \u003ctt\u003erho\u003c/tt\u003e, and \u003ctt\u003emu\u003c/tt\u003e in that order. Output the appropriate string among 'LAMINAR', 'TRANSITION', or 'TURBULENT', according to the rule above.\u003c/p\u003e\u003cp\u003eSee sample test cases:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; flow_pattern([0.02 0.1 1000 8.9e-4])\r\nans =\r\n 'LAMINAR'\r\n\u0026gt;\u0026gt; flow_pattern([0.02 0.5 1000 8.9e-4])\r\nans =\r\n 'TURBULENT'\r\n\u0026gt;\u0026gt; flow_pattern([0.02 0.1 1200 8.9e-4])\r\nans =\r\n 'TRANSITION'\r\n\u003c/pre\u003e","function_template":"function y = flow_pattern(x)\r\n y = x;\r\nend","test_suite":"%%\r\nassert(isequal(flow_pattern([0.025 0.089 986.29 0.00087]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.095 976.11 0.00089]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.124 1089.38 0.00080]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.095 1069.84 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.148 1004.66 0.00079]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.082 922.17 0.00078]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.084 1063.42 0.00081]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.030 0.127 924.05 0.00083]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.083 1014.92 0.00087]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.117 1080.37 0.00074]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.100 1077.98 0.00080]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.103 1014.85 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.020 0.120 1001.35 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.021 0.086 946.85 0.00074]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.089 910.72 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.067 1082.44 0.00076]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.070 1053.44 0.00071]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.066 957.29 0.00084]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.023 0.101 1044.27 0.00089]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.125 981.46 0.00075]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.030 0.072 1068.48 0.00083]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.129 993.82 0.00076]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.149 1053.99 0.00087]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.110 1050.57 0.00080]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.057 1093.71 0.00072]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.090 921.41 0.00084]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.128 1013.32 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.144 1074.29 0.00080]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.097 1065.76 0.00076]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.040 0.078 914.57 0.00085]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.142 965.40 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.096 1064.15 0.00089]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.022 0.121 946.99 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.025 0.133 1099.07 0.00083]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.143 1037.53 0.00081]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.028 0.113 972.65 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.097 1000.68 0.00088]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.084 1014.83 0.00080]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.025 0.108 1075.67 0.00071]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.029 0.058 1012.65 0.00081]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.073 1017.47 0.00079]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.116 970.78 0.00077]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.025 0.145 959.64 0.00073]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.124 1041.18 0.00084]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.020 0.087 1080.30 0.00076]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.080 925.00 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.148 1072.40 0.00072]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.074 963.56 0.00090]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.125 1068.37 0.00073]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.038 0.061 1049.02 0.00085]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.063 989.16 0.00080]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.136 1035.54 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.146 913.34 0.00081]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.098 1036.97 0.00074]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.083 1076.17 0.00073]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.022 0.146 930.58 0.00073]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.023 0.059 990.88 0.00083]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.129 1042.54 0.00079]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.146 1001.16 0.00076]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.074 946.86 0.00079]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.112 924.52 0.00072]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.124 982.26 0.00087]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.090 910.44 0.00081]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.082 998.59 0.00074]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.098 1008.00 0.00074]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.022 0.056 1063.90 0.00085]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.140 1036.86 0.00083]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.040 0.053 984.85 0.00080]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.058 1032.03 0.00071]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.121 997.58 0.00082]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.115 976.13 0.00072]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.028 0.076 948.26 0.00082]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.030 0.091 943.56 0.00087]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.078 1023.08 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.142 976.96 0.00073]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.061 931.76 0.00077]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.108 1017.24 0.00089]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.051 1061.88 0.00082]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.030 0.077 951.62 0.00080]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.025 0.055 933.85 0.00075]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.111 1064.74 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.121 1071.88 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.149 918.72 0.00083]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.074 967.94 0.00074]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.030 0.145 978.92 0.00082]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.121 980.31 0.00087]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.038 0.125 957.12 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.023 0.100 1022.14 0.00084]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.028 0.123 1077.46 0.00071]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.023 0.136 984.35 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.125 1096.20 0.00075]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.022 0.088 1000.05 0.00081]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.040 0.099 980.18 0.00090]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.025 0.117 1092.85 0.00083]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.103 900.29 0.00088]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.028 0.080 1090.12 0.00079]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.058 1016.44 0.00073]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.021 0.108 957.40 0.00077]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.136 969.58 0.00089]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.071 1053.65 0.00082]),'TURBULENT'))\r\n","published":true,"deleted":false,"likes_count":6,"comments_count":1,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":149,"test_suite_updated_at":"2020-04-01T01:14:34.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-01T00:39:41.000Z","updated_at":"2026-04-06T13:01:23.000Z","published_at":"2020-04-01T01:14:34.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn fluid mechanics, characterizing the flow in a pipe is essential to predicting its behavior. The flow pattern can either be laminar (smooth/sheet-like), turbulent (rough/chaotic), or transitioning from laminar to turbulent. Intuitively, flow velocity is a dominant factor in determining the flow pattern: A slow-moving fluid is laminar, while a fast-moving one is turbulent. However, the flow pattern can also be influenced by pipe geometry, fluid viscosity, and fluid density.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eHence, instead of just flow velocity, engineers are using a number that better indicates the flow pattern called the Reynolds Number,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eRe\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. For a fluid flowing inside a circular pipe,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eRe\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is computed as follows:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[Re = D x v x rho / mu\\n where:\\n D = inside diameter of the pipe [m]\\n v = mean flow velocity [m/s]\\n rho = fluid density [kg/m^3]\\n mu = fluid viscosity [Pa.s] or [kg/m/s]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote: Although it is not customary to use SI units for these quantities, this problem deals with SI units for ease.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWe can then adopt the following rule: If\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eRe\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt; 2300, the flow is laminar; if\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eRe\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026gt; 2900, the flow is turbulent; otherwise, the flow is in transition.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts a MATLAB variable, x, which is always a 4-element row vector containing the values (in SI) of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eD\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003erho\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emu\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e in that order. Output the appropriate string among 'LAMINAR', 'TRANSITION', or 'TURBULENT', according to the rule above.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSee sample test cases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e flow_pattern([0.02 0.1 1000 8.9e-4])\\nans =\\n 'LAMINAR'\\n\u003e\u003e flow_pattern([0.02 0.5 1000 8.9e-4])\\nans =\\n 'TURBULENT'\\n\u003e\u003e flow_pattern([0.02 0.1 1200 8.9e-4])\\nans =\\n 'TRANSITION']]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45392,"title":"Convert a temperature reading from Celsius to an unknown scale","description":"Two of the most famous temperature scales are the Celsius and the Fahrenheit scale. In reality, however, there are so many other temperature scales used in the chemical industry. \r\n \r\nLet's assume that all temperature conversions are of the form Y = AX + B where A and B are conversion constants, and X and Y are the temperature readings. If you are given two sample conversions from one scale to another, then you can convert any other value to and from that scale with this assumption. Take the Rankine scale for example. If we know that 476.85 degrees Celsius converts to 1350 degrees Rankine and 226.85 degrees Celsius converts to 900 degrees Rankine, then we can compute that 40 degrees Celsius is equal to 563.67 degrees Rankine.\r\n \r\nMake a program that accepts 5 decimal numbers X1, Y1, X2, Y2, and T. Let’s name a new temperature scale 'Franklin'. If X1 degrees Celsius convert to Y1 degrees Franklin and X2 degrees Celsius convert to Y2 degrees Franklin, output a decimal number, rounded to 2 decimal places, denoting the degrees Franklin equivalent of T degrees Celsius. You are guaranteed that:\r\n\r\n* All inputs are in the range [-1000, 1000].\r\n* Each test case is valid and has a unique solution.\r\n","description_html":"\u003cp\u003eTwo of the most famous temperature scales are the Celsius and the Fahrenheit scale. In reality, however, there are so many other temperature scales used in the chemical industry.\u003c/p\u003e\u003cp\u003eLet's assume that all temperature conversions are of the form Y = AX + B where A and B are conversion constants, and X and Y are the temperature readings. If you are given two sample conversions from one scale to another, then you can convert any other value to and from that scale with this assumption. Take the Rankine scale for example. If we know that 476.85 degrees Celsius converts to 1350 degrees Rankine and 226.85 degrees Celsius converts to 900 degrees Rankine, then we can compute that 40 degrees Celsius is equal to 563.67 degrees Rankine.\u003c/p\u003e\u003cp\u003eMake a program that accepts 5 decimal numbers X1, Y1, X2, Y2, and T. Let’s name a new temperature scale 'Franklin'. If X1 degrees Celsius convert to Y1 degrees Franklin and X2 degrees Celsius convert to Y2 degrees Franklin, output a decimal number, rounded to 2 decimal places, denoting the degrees Franklin equivalent of T degrees Celsius. You are guaranteed that:\u003c/p\u003e\u003cul\u003e\u003cli\u003eAll inputs are in the range [-1000, 1000].\u003c/li\u003e\u003cli\u003eEach test case is valid and has a unique solution.\u003c/li\u003e\u003c/ul\u003e","function_template":"function y = celsius_to_franklin(X1,Y1,X2,Y2,T)\r\n y = x;\r\nend","test_suite":"%%\r\nassert(isequal(celsius_to_franklin(605.86,942.86,701.08,873.83,981.92),670.23))\r\n%%\r\nassert(isequal(celsius_to_franklin(-283.48,-820.99,34.93,-540.53,578.22),-61.99))\r\n%%\r\nassert(isequal(celsius_to_franklin(-642.38,-545.91,-236.27,259.69,641.57),2001.06))\r\n%%\r\nassert(isequal(celsius_to_franklin(-388.76,740.12,-355.52,996.42,156.00),4940.54))\r\n%%\r\nassert(isequal(celsius_to_franklin(-424.57,-136.40,-544.47,-598.13,-454.91),-253.24))\r\n%%\r\nassert(isequal(celsius_to_franklin(-943.67,428.22,-381.09,-96.63,823.88),-1220.79))\r\n%%\r\nassert(isequal(celsius_to_franklin(205.93,437.77,-539.18,6.82,-447.39),59.91))\r\n%%\r\nassert(isequal(celsius_to_franklin(863.18,284.69,-263.58,368.62,926.41),279.98))\r\n%%\r\nassert(isequal(celsius_to_franklin(-147.74,127.01,-672.12,-960.23,-492.42),-587.64))\r\n%%\r\nassert(isequal(celsius_to_franklin(-470.00,-330.01,245.92,32.44,368.50),94.50))\r\n%%\r\nassert(isequal(celsius_to_franklin(-953.62,-685.32,-111.79,461.55,-660.24),-285.63))\r\n%%\r\nassert(isequal(celsius_to_franklin(657.17,897.22,-335.17,803.76,-866.72),753.70))\r\n%%\r\nassert(isequal(celsius_to_franklin(584.48,-166.12,259.41,-70.18,555.04),-157.43))\r\n%%\r\nassert(isequal(celsius_to_franklin(-409.79,-416.75,-96.33,609.90,-841.00),-1829.06))\r\n%%\r\nassert(isequal(celsius_to_franklin(-307.20,-48.77,366.97,569.72,-590.24),-308.43))\r\n%%\r\nassert(isequal(celsius_to_franklin(-640.68,-365.85,-741.44,-757.17,-230.91),1225.57))\r\n%%\r\nassert(isequal(celsius_to_franklin(-132.47,214.18,-277.77,782.82,-612.67),2093.47))\r\n%%\r\nassert(isequal(celsius_to_franklin(-690.34,-308.03,216.70,-736.01,-355.91),-465.83))\r\n%%\r\nassert(isequal(celsius_to_franklin(927.61,379.39,698.87,962.06,-538.43),4113.84))\r\n%%\r\nassert(isequal(celsius_to_franklin(-886.01,-463.51,756.77,803.12,87.47),287.07))\r\n%%\r\nassert(isequal(celsius_to_franklin(-502.42,-588.56,-206.72,-98.65,321.02),775.70))\r\n%%\r\nassert(isequal(celsius_to_franklin(-153.74,7.78,-682.05,-719.25,120.16),384.71))\r\n%%\r\nassert(isequal(celsius_to_franklin(-144.83,-134.94,-189.12,-37.86,-515.74),678.06))\r\n%%\r\nassert(isequal(celsius_to_franklin(-995.20,151.44,-741.17,-470.43,-406.85),-1288.85))\r\n%%\r\nassert(isequal(celsius_to_franklin(871.26,-14.30,236.99,-926.20,-443.03),-1903.88))\r\n%%\r\nassert(isequal(celsius_to_franklin(715.15,782.47,47.57,-466.79,44.72),-472.12))\r\n%%\r\nassert(isequal(celsius_to_franklin(899.12,-837.45,-191.19,-256.33,-293.28),-201.92))\r\n%%\r\nassert(isequal(celsius_to_franklin(-202.59,-537.15,-192.74,407.01,299.90),47628.43))\r\n%%\r\nassert(isequal(celsius_to_franklin(913.66,334.21,33.59,-112.18,-55.21),-157.22))\r\n%%\r\nassert(isequal(celsius_to_franklin(955.44,756.25,-738.91,-848.13,114.84),-39.71))\r\n%%\r\nassert(isequal(celsius_to_franklin(-666.83,-718.81,55.93,-298.83,-586.09),-671.89))\r\n%%\r\nassert(isequal(celsius_to_franklin(147.36,-107.49,37.96,373.14,543.46),-1847.69))\r\n%%\r\nassert(isequal(celsius_to_franklin(-187.90,-485.31,-936.87,953.10,-349.60),-174.76))\r\n%%\r\nassert(isequal(celsius_to_franklin(-341.01,93.29,-190.04,507.03,-51.48),886.76))\r\n%%\r\nassert(isequal(celsius_to_franklin(584.80,435.13,-16.48,-899.54,29.33),-797.85))\r\n%%\r\nassert(isequal(celsius_to_franklin(-340.40,903.99,-371.65,-204.97,884.36),44366.71))\r\n%%\r\nassert(isequal(celsius_to_franklin(-781.65,-583.60,127.07,910.74,-822.91),-651.45))\r\n%%\r\nassert(isequal(celsius_to_franklin(-386.75,-935.79,531.29,-280.34,-408.39),-951.24))\r\n%%\r\nassert(isequal(celsius_to_franklin(161.90,440.48,-210.43,-49.91,269.72),582.49))\r\n%%\r\nassert(isequal(celsius_to_franklin(-748.00,558.83,611.62,-70.60,-33.59),228.10))\r\n%%\r\nassert(isequal(celsius_to_franklin(657.96,-975.96,777.84,21.10,-407.55),-9837.97))\r\n%%\r\nassert(isequal(celsius_to_franklin(-230.46,-919.89,-284.33,499.32,-234.82),-805.03))\r\n%%\r\nassert(isequal(celsius_to_franklin(-301.12,-825.93,814.58,-552.94,507.82),-628.00))\r\n%%\r\nassert(isequal(celsius_to_franklin(697.75,701.18,10.89,34.27,653.33),658.05))\r\n%%\r\nassert(isequal(celsius_to_franklin(280.00,888.78,-786.06,403.46,708.18),1083.71))\r\n%%\r\nassert(isequal(celsius_to_franklin(-10.67,543.28,264.36,637.92,894.65),854.81))\r\n%%\r\nassert(isequal(celsius_to_franklin(-206.85,153.56,-128.64,-453.56,89.79),-2149.16))\r\n%%\r\nassert(isequal(celsius_to_franklin(-76.51,-747.71,305.05,982.05,-576.62),-3014.90))\r\n%%\r\nassert(isequal(celsius_to_franklin(292.10,-573.74,-958.20,-149.66,113.10),-513.03))\r\n%%\r\nassert(isequal(celsius_to_franklin(792.56,-79.19,-775.41,-838.95,-698.15),-801.51))\r\n%%\r\nassert(isequal(celsius_to_franklin(-396.81,922.69,629.52,-216.29,678.00),-270.09))\r\n%%\r\nassert(isequal(celsius_to_franklin(-517.35,852.83,-16.57,-944.12,849.97),-4053.53))\r\n%%\r\nassert(isequal(celsius_to_franklin(-434.10,504.36,-908.25,-132.70,317.96),1514.82))\r\n%%\r\nassert(isequal(celsius_to_franklin(829.18,913.01,168.51,348.27,731.39),829.42))\r\n%%\r\nassert(isequal(celsius_to_franklin(-333.40,-166.89,-456.37,639.93,-427.43),450.05))\r\n%%\r\nassert(isequal(celsius_to_franklin(-294.90,-60.17,550.47,304.60,671.10),356.65))\r\n%%\r\nassert(isequal(celsius_to_franklin(485.15,789.20,766.49,210.31,465.73),829.16))\r\n%%\r\nassert(isequal(celsius_to_franklin(203.09,-17.32,914.47,-533.31,-199.58),274.75))\r\n%%\r\nassert(isequal(celsius_to_franklin(966.57,445.31,-794.28,-130.59,-831.11),-142.64))\r\n%%\r\nassert(isequal(celsius_to_franklin(-738.77,-731.47,-714.39,984.04,-269.54),32286.12))\r\n%%\r\nassert(isequal(celsius_to_franklin(930.51,64.10,-449.17,775.23,87.89),498.41))\r\n%%\r\nassert(isequal(celsius_to_franklin(-868.15,640.06,347.72,-454.46,17.03),-156.77))\r\n%%\r\nassert(isequal(celsius_to_franklin(-937.82,569.83,-404.13,866.50,-171.47),995.83))\r\n%%\r\nassert(isequal(celsius_to_franklin(-169.08,901.62,-131.93,-661.45,-597.44),18924.68))\r\n%%\r\nassert(isequal(celsius_to_franklin(-189.62,-713.35,-270.02,-220.67,637.73),-5783.24))\r\n%%\r\nassert(isequal(celsius_to_franklin(492.42,-319.45,141.79,288.15,113.21),337.68))\r\n%%\r\nassert(isequal(celsius_to_franklin(283.90,-538.88,-437.08,918.34,-115.93),269.24))\r\n%%\r\nassert(isequal(celsius_to_franklin(-306.06,561.45,469.95,418.77,357.52),439.44))\r\n%%\r\nassert(isequal(celsius_to_franklin(-750.15,755.17,-347.75,-855.09,549.57),-4445.84))\r\n%%\r\nassert(isequal(celsius_to_franklin(-522.01,440.91,261.38,-459.71,195.94),-384.48))\r\n%%\r\nassert(isequal(celsius_to_franklin(741.61,107.09,454.92,-904.42,-603.83),-4639.94))\r\n%%\r\nassert(isequal(celsius_to_franklin(91.21,547.62,235.88,78.98,176.30),271.98))\r\n%%\r\nassert(isequal(celsius_to_franklin(970.32,-331.81,24.95,989.19,396.94),469.39))\r\n%%\r\nassert(isequal(celsius_to_franklin(573.18,-145.55,-501.14,406.38,-809.38),564.74))\r\n%%\r\nassert(isequal(celsius_to_franklin(674.12,182.10,-769.93,-438.99,216.83),-14.58))\r\n%%\r\nassert(isequal(celsius_to_franklin(-501.54,364.36,122.84,736.62,105.33),726.18))\r\n%%\r\nassert(isequal(celsius_to_franklin(423.69,-98.78,-153.62,-130.92,663.06),-85.45))\r\n%%\r\nassert(isequal(celsius_to_franklin(796.67,-66.87,908.68,-989.81,987.42),-1638.61))\r\n%%\r\nassert(isequal(celsius_to_franklin(652.08,797.79,-377.24,-59.91,-383.42),-65.06))\r\n%%\r\nassert(isequal(celsius_to_franklin(-965.37,-955.60,-397.18,361.85,-445.66),249.44))\r\n%%\r\nassert(isequal(celsius_to_franklin(47.99,766.77,932.43,-754.90,521.98),-48.72))\r\n%%\r\nassert(isequal(celsius_to_franklin(511.24,231.31,-85.92,-985.28,-611.87),-2056.79))\r\n%%\r\nassert(isequal(celsius_to_franklin(768.55,-217.35,-262.56,-220.12,515.30),-218.03))\r\n%%\r\nassert(isequal(celsius_to_franklin(-413.15,-952.69,133.75,-922.77,-505.69),-957.75))\r\n%%\r\nassert(isequal(celsius_to_franklin(188.47,610.83,837.90,81.43,134.78),654.60))\r\n%%\r\nassert(isequal(celsius_to_franklin(-574.69,934.83,-668.57,-702.77,408.89),18091.95))\r\n%%\r\nassert(isequal(celsius_to_franklin(-485.25,-858.09,-316.38,869.88,-25.16),3849.80))\r\n%%\r\nassert(isequal(celsius_to_franklin(-723.68,-261.45,-214.48,-33.00,-356.68),-96.80))\r\n%%\r\nassert(isequal(celsius_to_franklin(264.40,131.68,-304.40,-659.34,772.14),837.78))\r\n%%\r\nassert(isequal(celsius_to_franklin(-927.25,687.47,846.53,-842.40,758.80),-766.73))\r\n%%\r\nassert(isequal(celsius_to_franklin(-874.43,-518.50,179.50,46.43,232.70),74.95))\r\n%%\r\nassert(isequal(celsius_to_franklin(-541.26,-857.08,-142.04,-777.46,25.32),-744.08))\r\n%%\r\nassert(isequal(celsius_to_franklin(363.20,879.66,545.24,-99.49,-34.24),3017.40))\r\n%%\r\nassert(isequal(celsius_to_franklin(166.07,415.49,693.31,-912.26,-204.72),1349.25))\r\n%%\r\nassert(isequal(celsius_to_franklin(587.20,644.09,-450.02,764.92,143.15),695.82))\r\n%%\r\nassert(isequal(celsius_to_franklin(-881.13,477.87,733.74,533.48,346.53),520.15))\r\n%%\r\nassert(isequal(celsius_to_franklin(21.10,833.97,33.12,94.93,-522.20),34238.33))\r\n%%\r\nassert(isequal(celsius_to_franklin(129.18,-721.79,-176.17,715.01,589.38),-2887.22))\r\n%%\r\nassert(isequal(celsius_to_franklin(453.99,259.96,-596.74,279.21,-811.28),283.14))\r\n%%\r\nassert(isequal(celsius_to_franklin(369.37,958.33,-425.57,-338.45,769.98),1611.84))\r\n","published":true,"deleted":false,"likes_count":9,"comments_count":2,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":159,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-26T17:54:38.000Z","updated_at":"2026-03-31T14:18:46.000Z","published_at":"2020-03-26T17:54:38.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eTwo of the most famous temperature scales are the Celsius and the Fahrenheit scale. In reality, however, there are so many other temperature scales used in the chemical industry.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eLet's assume that all temperature conversions are of the form Y = AX + B where A and B are conversion constants, and X and Y are the temperature readings. If you are given two sample conversions from one scale to another, then you can convert any other value to and from that scale with this assumption. Take the Rankine scale for example. If we know that 476.85 degrees Celsius converts to 1350 degrees Rankine and 226.85 degrees Celsius converts to 900 degrees Rankine, then we can compute that 40 degrees Celsius is equal to 563.67 degrees Rankine.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eMake a program that accepts 5 decimal numbers X1, Y1, X2, Y2, and T. Let’s name a new temperature scale 'Franklin'. If X1 degrees Celsius convert to Y1 degrees Franklin and X2 degrees Celsius convert to Y2 degrees Franklin, output a decimal number, rounded to 2 decimal places, denoting the degrees Franklin equivalent of T degrees Celsius. You are guaranteed that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAll inputs are in the range [-1000, 1000].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEach test case is valid and has a unique solution.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45394,"title":"Count the number of folds needed to pack a large sheet","description":"In a certain paper factory, large sheets of paper are being made every day. Before sending the sheets for shipment, they have to be packed in a small case of length 1 foot and width 1 foot. This is done automatically by a robot, which is programmed to fold a large sheet of paper as many times as needed to fit it into the case. The following is the robot's algorithm:\r\n\r\n# Lay down a large sheet of paper of size X-by-Y feet.\r\n# _Fold_ the sheet in half so that the _larger_ length between X and Y is halved and the other length remains the same.\r\n# Repeat step 2 until _both_ lengths X and Y are _less_ than 1 foot.\r\n\r\nFor this problem, you can assume that the thickness of the paper is irrelevant. You are then given the following task by the company manager: Write a function that determines the number of folds needed to pack a certain sheet of paper, given its initial dimensions X and Y. You are ensured that X and Y are integers given in feet, and that 1 \u003c= X \u003c= 4000 and 1 \u003c= Y \u003c= 4000. \r\n\r\nAs an example, let the initial dimensions be (X,Y) = (4,5). The algorithm will produce the following sequence of paper sizes: (4,5) -\u003e (4,2.5) -\u003e (2,2.5) -\u003e (2,1.25) -\u003e (1,1.25) -\u003e (1,0.625) -\u003e (0.5,0.625). We stop because _both_ sizes are now less than 1. This takes a total of 6 folds.","description_html":"\u003cp\u003eIn a certain paper factory, large sheets of paper are being made every day. Before sending the sheets for shipment, they have to be packed in a small case of length 1 foot and width 1 foot. This is done automatically by a robot, which is programmed to fold a large sheet of paper as many times as needed to fit it into the case. The following is the robot's algorithm:\u003c/p\u003e\u003col\u003e\u003cli\u003eLay down a large sheet of paper of size X-by-Y feet.\u003c/li\u003e\u003cli\u003e\u003ci\u003eFold\u003c/i\u003e the sheet in half so that the \u003ci\u003elarger\u003c/i\u003e length between X and Y is halved and the other length remains the same.\u003c/li\u003e\u003cli\u003eRepeat step 2 until \u003ci\u003eboth\u003c/i\u003e lengths X and Y are \u003ci\u003eless\u003c/i\u003e than 1 foot.\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eFor this problem, you can assume that the thickness of the paper is irrelevant. You are then given the following task by the company manager: Write a function that determines the number of folds needed to pack a certain sheet of paper, given its initial dimensions X and Y. You are ensured that X and Y are integers given in feet, and that 1 \u0026lt;= X \u0026lt;= 4000 and 1 \u0026lt;= Y \u0026lt;= 4000.\u003c/p\u003e\u003cp\u003eAs an example, let the initial dimensions be (X,Y) = (4,5). The algorithm will produce the following sequence of paper sizes: (4,5) -\u0026gt; (4,2.5) -\u0026gt; (2,2.5) -\u0026gt; (2,1.25) -\u0026gt; (1,1.25) -\u0026gt; (1,0.625) -\u0026gt; (0.5,0.625). We stop because \u003ci\u003eboth\u003c/i\u003e sizes are now less than 1. This takes a total of 6 folds.\u003c/p\u003e","function_template":"function y = number_of_folds(X,Y)\r\n y = X;\r\nend","test_suite":"%%\r\nassert(isequal(number_of_folds(3247,2132),24))\r\n%%\r\nassert(isequal(number_of_folds(1403,3757),23))\r\n%%\r\nassert(isequal(number_of_folds(3504,2201),24))\r\n%%\r\nassert(isequal(number_of_folds(2490,2349),24))\r\n%%\r\nassert(isequal(number_of_folds(831,1205),21))\r\n%%\r\nassert(isequal(number_of_folds(1884,922),21))\r\n%%\r\nassert(isequal(number_of_folds(2,4),5))\r\n%%\r\nassert(isequal(number_of_folds(3378,780),22))\r\n%%\r\nassert(isequal(number_of_folds(904,683),20))\r\n%%\r\nassert(isequal(number_of_folds(911,1743),21))\r\n%%\r\nassert(isequal(number_of_folds(1245,3694),23))\r\n%%\r\nassert(isequal(number_of_folds(1721,740),21))\r\n%%\r\nassert(isequal(number_of_folds(3620,3919),24))\r\n%%\r\nassert(isequal(number_of_folds(1756,445),20))\r\n%%\r\nassert(isequal(number_of_folds(1033,1635),22))\r\n%%\r\nassert(isequal(number_of_folds(2380,1049),23))\r\n%%\r\nassert(isequal(number_of_folds(2412,2845),24))\r\n%%\r\nassert(isequal(number_of_folds(887,470),19))\r\n%%\r\nassert(isequal(number_of_folds(1187,1276),22))\r\n%%\r\nassert(isequal(number_of_folds(1697,2032),22))\r\n%%\r\nassert(isequal(number_of_folds(343,1050),20))\r\n%%\r\nassert(isequal(number_of_folds(3205,117),19))\r\n%%\r\nassert(isequal(number_of_folds(3716,2922),24))\r\n%%\r\nassert(isequal(number_of_folds(1955,2315),23))\r\n%%\r\nassert(isequal(number_of_folds(950,1836),21))\r\n%%\r\nassert(isequal(number_of_folds(3853,2188),24))\r\n%%\r\nassert(isequal(number_of_folds(2085,927),22))\r\n%%\r\nassert(isequal(number_of_folds(1956,2497),23))\r\n%%\r\nassert(isequal(number_of_folds(2717,1583),23))\r\n%%\r\nassert(isequal(number_of_folds(1470,3952),23))\r\n%%\r\nassert(isequal(number_of_folds(151,3541),20))\r\n%%\r\nassert(isequal(number_of_folds(3654,3185),24))\r\n%%\r\nassert(isequal(number_of_folds(395,1048),20))\r\n%%\r\nassert(isequal(number_of_folds(1342,2719),23))\r\n%%\r\nassert(isequal(number_of_folds(547,2885),22))\r\n%%\r\nassert(isequal(number_of_folds(428,2616),21))\r\n%%\r\nassert(isequal(number_of_folds(1977,3117),23))\r\n%%\r\nassert(isequal(number_of_folds(2861,3615),24))\r\n%%\r\nassert(isequal(number_of_folds(3564,1337),23))\r\n%%\r\nassert(isequal(number_of_folds(1,4000),13))\r\n%%\r\nassert(isequal(number_of_folds(2795,792),22))\r\n%%\r\nassert(isequal(number_of_folds(123,2977),19))\r\n%%\r\nassert(isequal(number_of_folds(2001,1920),22))\r\n%%\r\nassert(isequal(number_of_folds(3619,2440),24))\r\n%%\r\nassert(isequal(number_of_folds(2471,3438),24))\r\n%%\r\nassert(isequal(number_of_folds(3222,2307),24))\r\n%%\r\nassert(isequal(number_of_folds(732,960),20))\r\n%%\r\nassert(isequal(number_of_folds(3547,115),19))\r\n%%\r\nassert(isequal(number_of_folds(1960,672),21))\r\n%%\r\nassert(isequal(number_of_folds(3915,2851),24))\r\n%%\r\nassert(isequal(number_of_folds(2002,1885),22))\r\n%%\r\nassert(isequal(number_of_folds(239,2728),20))\r\n%%\r\nassert(isequal(number_of_folds(170,286),17))\r\n%%\r\nassert(isequal(number_of_folds(2087,387),21))\r\n%%\r\nassert(isequal(number_of_folds(3273,3271),24))\r\n%%\r\nassert(isequal(number_of_folds(2890,600),22))\r\n%%\r\nassert(isequal(number_of_folds(2639,2075),24))\r\n%%\r\nassert(isequal(number_of_folds(3892,2596),24))\r\n%%\r\nassert(isequal(number_of_folds(3202,1816),23))\r\n%%\r\nassert(isequal(number_of_folds(1730,3302),23))\r\n%%\r\nassert(isequal(number_of_folds(334,533),19))\r\n%%\r\nassert(isequal(number_of_folds(694,1564),21))\r\n%%\r\nassert(isequal(number_of_folds(3326,3214),24))\r\n%%\r\nassert(isequal(number_of_folds(242,1598),19))\r\n%%\r\nassert(isequal(number_of_folds(2108,1668),23))\r\n%%\r\nassert(isequal(number_of_folds(2628,2512),24))\r\n%%\r\nassert(isequal(number_of_folds(1168,1727),22))\r\n%%\r\nassert(isequal(number_of_folds(62,3937),18))\r\n%%\r\nassert(isequal(number_of_folds(669,425),19))\r\n%%\r\nassert(isequal(number_of_folds(1490,793),21))\r\n%%\r\nassert(isequal(number_of_folds(1959,1358),22))\r\n%%\r\nassert(isequal(number_of_folds(3807,3682),24))\r\n%%\r\nassert(isequal(number_of_folds(211,2952),20))\r\n%%\r\nassert(isequal(number_of_folds(1077,1692),22))\r\n%%\r\nassert(isequal(number_of_folds(2192,3771),24))\r\n%%\r\nassert(isequal(number_of_folds(1,1),2))\r\n%%\r\nassert(isequal(number_of_folds(1671,3933),23))\r\n%%\r\nassert(isequal(number_of_folds(1206,2805),23))\r\n%%\r\nassert(isequal(number_of_folds(2666,2157),24))\r\n%%\r\nassert(isequal(number_of_folds(2793,2667),24))\r\n%%\r\nassert(isequal(number_of_folds(713,513),20))\r\n%%\r\nassert(isequal(number_of_folds(3997,685),22))\r\n%%\r\nassert(isequal(number_of_folds(131,2245),20))\r\n%%\r\nassert(isequal(number_of_folds(3528,2677),24))\r\n%%\r\nassert(isequal(number_of_folds(762,1476),21))\r\n%%\r\nassert(isequal(number_of_folds(1843,3927),23))\r\n%%\r\nassert(isequal(number_of_folds(626,3423),22))\r\n%%\r\nassert(isequal(number_of_folds(2580,1506),23))\r\n%%\r\nassert(isequal(number_of_folds(764,1714),21))\r\n%%\r\nassert(isequal(number_of_folds(1929,483),20))\r\n%%\r\nassert(isequal(number_of_folds(2359,905),22))\r\n%%\r\nassert(isequal(number_of_folds(1539,2332),23))\r\n%%\r\nassert(isequal(number_of_folds(1008,1162),21))\r\n%%\r\nassert(isequal(number_of_folds(2469,1062),23))\r\n%%\r\nassert(isequal(number_of_folds(15,15),8))\r\n%%\r\nassert(isequal(number_of_folds(3298,3931),24))\r\n%%\r\nassert(isequal(number_of_folds(2921,1376),23))\r\n%%\r\nassert(isequal(number_of_folds(2337,432),21))\r\n%%\r\nassert(isequal(number_of_folds(3626,3519),24))\r\n%%\r\nassert(isequal(number_of_folds(3272,1043),23))\r\n%%\r\nassert(isequal(number_of_folds(3,2),4))\r\n%%\r\nassert(isequal(number_of_folds(2378,91),19))\r\n%%\r\nassert(isequal(number_of_folds(1702,1251),22))\r\n%%\r\nassert(isequal(number_of_folds(646,716),20))\r\n%%\r\nassert(isequal(number_of_folds(1692,377),20))\r\n%%\r\nassert(isequal(number_of_folds(16,15),9))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":3,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":115,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-26T22:22:34.000Z","updated_at":"2026-03-31T14:22:20.000Z","published_at":"2020-03-26T22:22:34.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn a certain paper factory, large sheets of paper are being made every day. Before sending the sheets for shipment, they have to be packed in a small case of length 1 foot and width 1 foot. This is done automatically by a robot, which is programmed to fold a large sheet of paper as many times as needed to fit it into the case. The following is the robot's algorithm:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eLay down a large sheet of paper of size X-by-Y feet.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eFold\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e the sheet in half so that the\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003elarger\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e length between X and Y is halved and the other length remains the same.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eRepeat step 2 until\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\u003eboth\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e lengths X and Y are\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\u003eless\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e than 1 foot.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, you can assume that the thickness of the paper is irrelevant. You are then given the following task by the company manager: Write a function that determines the number of folds needed to pack a certain sheet of paper, given its initial dimensions X and Y. You are ensured that X and Y are integers given in feet, and that 1 \u0026lt;= X \u0026lt;= 4000 and 1 \u0026lt;= Y \u0026lt;= 4000.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAs an example, let the initial dimensions be (X,Y) = (4,5). The algorithm will produce the following sequence of paper sizes: (4,5) -\u0026gt; (4,2.5) -\u0026gt; (2,2.5) -\u0026gt; (2,1.25) -\u0026gt; (1,1.25) -\u0026gt; (1,0.625) -\u0026gt; (0.5,0.625). We stop because\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\u003eboth\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e sizes are now less than 1. This takes a total of 6 folds.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45467,"title":"Find the fastest reaction chain to reach a target compound","description":"This problem is related to Problem \u003c45470\u003e.\r\n\r\nLet's denote a list of *N* compounds as 1, 2, ..., *N*. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u003e 2), as well as the time it takes to complete them ( _completion time_ ). With this information, we can generate _reaction chains_. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\r\n\r\n Given N = 4 and the following valid reactions:\r\n Reaction 1: 1 --\u003e 2 takes 1.5 mins\r\n Reaction 2: 1 --\u003e 3 takes 2.5 mins \r\n Reaction 3: 2 --\u003e 3 takes 0.6 mins\r\n Reaction 4: 3 --\u003e 4 takes 4.1 mins \r\n Reaction 5: 4 --\u003e 2 takes 3.2 mins\r\n Sample reaction chains: 1 --\u003e 3 --\u003e 4 takes (2.5 + 4.1) mins\r\n 1 --\u003e 2 --\u003e 3 --\u003e 4 takes (1.5 + 0.6 + 4.1) mins \r\n 4 --\u003e 2 --\u003e 3 takes (3.2 + 0.6) mins\r\n\r\nNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\r\n\r\nYour task is this: Given a starting compound *S* and a target compound *T*, can you find a reaction chain between them with the smallest _total completion time_? \r\n\r\nThe inputs to this problem are *R*, *S*, and *T*. Variable *R* is a 3-column matrix containing the list of valid reaction steps at each row _i_: \r\n\r\n\"Reaction _i_: *R*( _i_, _1_) --\u003e *R*( _i_, _2_) takes *R*( _i_, _3_) mins\" \r\n\r\nOutput the total time of the fastest reaction chain from *S* to *T*, rounded to 2 decimal places. If a solution does not exist, then output |Inf|. You are ensured that:\r\n\r\n* 2 \u003c= *N* \u003c= 20\r\n* *S*, *T*, and all elements in the first 2 columns of *R* are integers within [1, *N*].\r\n* Completion times are decimal numbers within (0,10].\r\n* *S* is not equal to *T*.\r\n* Each compound 1, ..., *N* is mentioned at least once in *R*. Hence, *N* can be inferred from matrix *R*.\r\n\r\nThe following sample test case is the one illustrated above:\r\n\r\n \u003e\u003e R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\n \u003e\u003e reaction_chain(R,1,4)\r\n ans = \r\n 6.20\r\n\r\n","description_html":"\u003cp\u003eThis problem is related to Problem \u003ca href = \"45470\"\u003e45470\u003c/a\u003e.\u003c/p\u003e\u003cp\u003eLet's denote a list of \u003cb\u003eN\u003c/b\u003e compounds as 1, 2, ..., \u003cb\u003eN\u003c/b\u003e. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u0026gt; 2), as well as the time it takes to complete them ( \u003ci\u003ecompletion time\u003c/i\u003e ). With this information, we can generate \u003ci\u003ereaction chains\u003c/i\u003e. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eGiven N = 4 and the following valid reactions:\r\nReaction 1: 1 --\u0026gt; 2 takes 1.5 mins\r\nReaction 2: 1 --\u0026gt; 3 takes 2.5 mins \r\nReaction 3: 2 --\u0026gt; 3 takes 0.6 mins\r\nReaction 4: 3 --\u0026gt; 4 takes 4.1 mins \r\nReaction 5: 4 --\u0026gt; 2 takes 3.2 mins\r\nSample reaction chains: 1 --\u0026gt; 3 --\u0026gt; 4 takes (2.5 + 4.1) mins\r\n 1 --\u0026gt; 2 --\u0026gt; 3 --\u0026gt; 4 takes (1.5 + 0.6 + 4.1) mins \r\n 4 --\u0026gt; 2 --\u0026gt; 3 takes (3.2 + 0.6) mins\r\n\u003c/pre\u003e\u003cp\u003eNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\u003c/p\u003e\u003cp\u003eYour task is this: Given a starting compound \u003cb\u003eS\u003c/b\u003e and a target compound \u003cb\u003eT\u003c/b\u003e, can you find a reaction chain between them with the smallest \u003ci\u003etotal completion time\u003c/i\u003e?\u003c/p\u003e\u003cp\u003eThe inputs to this problem are \u003cb\u003eR\u003c/b\u003e, \u003cb\u003eS\u003c/b\u003e, and \u003cb\u003eT\u003c/b\u003e. Variable \u003cb\u003eR\u003c/b\u003e is a 3-column matrix containing the list of valid reaction steps at each row \u003ci\u003ei\u003c/i\u003e:\u003c/p\u003e\u003cp\u003e\"Reaction \u003ci\u003ei\u003c/i\u003e: \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e1\u003c/i\u003e) --\u0026gt; \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e2\u003c/i\u003e) takes \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e3\u003c/i\u003e) mins\"\u003c/p\u003e\u003cp\u003eOutput the total time of the fastest reaction chain from \u003cb\u003eS\u003c/b\u003e to \u003cb\u003eT\u003c/b\u003e, rounded to 2 decimal places. If a solution does not exist, then output \u003ctt\u003eInf\u003c/tt\u003e. You are ensured that:\u003c/p\u003e\u003cul\u003e\u003cli\u003e2 \u0026lt;= \u003cb\u003eN\u003c/b\u003e \u0026lt;= 20\u003c/li\u003e\u003cli\u003e\u003cb\u003eS\u003c/b\u003e, \u003cb\u003eT\u003c/b\u003e, and all elements in the first 2 columns of \u003cb\u003eR\u003c/b\u003e are integers within [1, \u003cb\u003eN\u003c/b\u003e].\u003c/li\u003e\u003cli\u003eCompletion times are decimal numbers within (0,10].\u003c/li\u003e\u003cli\u003e\u003cb\u003eS\u003c/b\u003e is not equal to \u003cb\u003eT\u003c/b\u003e.\u003c/li\u003e\u003cli\u003eEach compound 1, ..., \u003cb\u003eN\u003c/b\u003e is mentioned at least once in \u003cb\u003eR\u003c/b\u003e. Hence, \u003cb\u003eN\u003c/b\u003e can be inferred from matrix \u003cb\u003eR\u003c/b\u003e.\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eThe following sample test case is the one illustrated above:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\n\u0026gt;\u0026gt; reaction_chain(R,1,4)\r\nans = \r\n 6.20\r\n\u003c/pre\u003e","function_template":"function y = reaction_chain(R,S,T)\r\n y = R;\r\nend","test_suite":"%%\r\nfiletext = fileread('reaction_chain.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nR = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\nassert(isequal(reaction_chain(R,1,4),6.20))\r\n%%\r\nR = [3 4 9.6489;1 4 9.5717;2 4 1.4189;2 4 7.9221;4 3 0.3571; 4 3 3.9223];\r\nassert(isequal(reaction_chain(R,1,3),9.93))\r\n%%\r\nR = [2 3 3.1864;3 2 4.9359;1 2 7.7339;5 1 5.2448;2 5 1.3431; ...\r\n4 1 4.8876;4 1 9.5712;4 1 2.6840;4 3 0.0273;5 4 1.7028; ...\r\n5 4 5.2548;3 2 4.2046;3 4 8.6170;3 4 9.1101;2 1 3.3861];\r\nassert(isequal(reaction_chain(R,3,4),7.25))\r\n%%\r\nR = [1 4 8.1730;4 1 3.9978;2 4 4.3141;4 1 2.6380;4 3 3.5095; ...\r\n3 2 0.7597;1 2 0.4965;2 1 7.8025;2 1 4.0391;4 3 0.5978; ...\r\n1 2 8.2119;2 3 2.9632;3 1 6.8678;1 2 6.2562;4 1 9.2939; ...\r\n4 2 4.3586;3 4 7.9483;3 2 8.1158;3 2 9.3900;4 3 6.2248];\r\nassert(isequal(reaction_chain(R,3,1),4.80))\r\n%%\r\nR = [6 1 4.8990;2 6 7.1269;4 3 0.5962;5 1 0.7145;4 1 8.1815];\r\nassert(isequal(reaction_chain(R,5,5),0.00))\r\nassert(isequal(reaction_chain(R,2,1),12.03))\r\nassert(isequal(reaction_chain(R,2,3),Inf))\r\nassert(isequal(reaction_chain(R,3,4),Inf))\r\n%%\r\nR = [1 3 1.3056;1 3 6.0879;6 7 9.7350;6 5 0.4248;5 7 3.1795; ...\r\n10 11 8.0540;11 9 9.7753;11 9 5.1325;14 15 7.6027;15 14 8.0163; ...\r\n14 15 5.9045;17 1 1.4939;1 17 2.5989;1 17 6.2406;4 5 1.9871; ...\r\n3 4 0.6724;3 5 8.6804;7 9 7.2118;8 7 8.1865;9 7 2.9695; ...\r\n12 11 5.1967;11 12 4.1216;11 12 3.9005;16 17 9.2406;15 16 6.7641; ...\r\n17 16 0.6583;3 2 5.0605;2 3 4.9252;1 3 6.1090;5 7 4.1419; ...\r\n6 7 4.7752;7 5 7.2523;9 10 2.9741;11 9 0.1670;11 9 8.7837; ...\r\n14 13 1.5026;13 15 3.3175;15 14 6.1016;18 1 6.7336;1 17 2.5181; ...\r\n17 1 9.1524;4 3 6.0197;3 5 6.5784;4 3 3.0603;];\r\nassert(isequal(reaction_chain(R,18,3),8.04))\r\nassert(isequal(reaction_chain(R,13,12),50.1))\r\nassert(isequal(reaction_chain(R,14,12),51.6))\r\n%%\r\nR = [9 13 1.5437;8 4 7.5811;18 8 6.8554;6 11 8.3242;12 7 2.9923; ...\r\n10 9 3.5961;12 15 4.2433;9 3 0.2443;6 7 6.5369;20 19 4.5789; ...\r\n5 16 7.5933;14 10 2.1216;2 17 1.7501;4 14 8.9439;11 15 1.5359; ...\r\n20 11 6.7973;1 17 7.4862;3 11 3.2583;11 8 4.1509;4 6 0.2054; ...\r\n19 14 9.3261;4 19 7.9466;12 9 2.5761;16 5 0.6419;16 14 7.1521; ...\r\n13 9 3.9076;17 7 8.1454;16 18 5.0564;13 20 4.4396;2 18 6.3119];\r\nassert(isequal(reaction_chain(R,8,20),28.23))\r\nassert(isequal(reaction_chain(R,2,13),36.95))\r\n%%\r\nR = [9 20 9.8797;18 8 4.5474;5 16 8.8284;19 12 5.9887;3 18 4.5039; ...\r\n5 18 7.6259;18 6 6.7323;14 3 4.0732;6 15 2.8338;18 17 3.9003; ...\r\n10 14 8.3437;13 12 3.2604;10 15 8.8441;15 1 6.7478;17 7 2.4623; ...\r\n7 8 5.4655;12 8 3.9813;11 14 9.5092;15 9 8.3187;3 2 0.8425; ...\r\n4 7 3.0173;1 11 0.9537;3 13 8.5932];\r\nassert(isequal(reaction_chain(R,20,12),Inf))\r\nassert(isequal(reaction_chain(R,15,8),30.34))\r\n%%\r\nR = [11 12 2.1328;12 3 0.5222;14 13 2.1966;9 13 5.5531;3 4 0.0100; ...\r\n9 10 1.5987;14 1 1.1968;10 18 2.4288;1 8 9.0441;14 8 6.3195; ...\r\n5 12 9.8173;17 6 6.8246;8 20 0.8399;6 17 0.8442;11 17 7.3882; ...\r\n3 9 3.5038;10 12 1.4581;19 13 1.6294;12 19 7.8310;14 10 2.6032; ...\r\n12 5 3.1930;19 18 7.9459;19 4 5.1754;13 19 6.6397;8 15 8.1763; ...\r\n13 2 9.2236;2 11 1.1885;8 17 2.4410;18 15 3.7815;5 6 7.6724; ...\r\n1 14 6.2028;15 20 3.8391;6 18 8.0610;10 2 5.6427;4 11 3.5503; ...\r\n7 15 5.1577;16 5 6.7811;2 17 6.7857;19 2 9.0844;11 13 3.1607; ...\r\n2 18 1.4453;8 13 9.9755];\r\nassert(isequal(reaction_chain(R,11,20),17.81))\r\n%%\r\nR = [3 1 7.1176;14 2 0.3902;9 10 5.1643;1 11 9.4602;14 2 3.5457; ...\r\n4 9 6.1273;5 12 7.9564;12 6 0.5430;11 15 1.6248;2 14 4.8166; ...\r\n4 1 6.0896;12 8 0.2775;15 8 3.3200;3 10 5.7513;12 3 3.5679; ...\r\n3 13 3.3787;5 1 8.0191;8 9 8.7091;9 15 5.9602;13 15 8.8592; ...\r\n4 1 4.5112;1 8 9.5120;4 6 4.3143;6 14 7.4084;12 15 5.1010; ...\r\n12 7 8.4920;6 12 9.7644;8 7 2.0716;5 2 3.7521;5 6 8.1712; ...\r\n2 10 3.4665;6 9 8.6394;3 11 9.0183;3 5 4.9652;14 8 2.7700; ...\r\n1 11 5.0675;6 1 3.5858;6 1 3.7505;12 3 9.1222;12 2 9.5003; ...\r\n3 5 6.8713;3 8 7.2133;14 11 7.4985;7 4 5.2085;4 13 6.6293];\r\nassert(isequal(reaction_chain(R,13,12),33.54))\r\n%%\r\nR = [7 13 9.2048;12 5 7.9682;3 8 6.1069;11 6 7.2868;14 1 1.3822; ...\r\n13 7 4.1131;15 12 9.8100;4 2 3.8458;8 9 9.7663;8 7 9.9499; ...\r\n4 10 9.6426;11 5 5.3113;1 14 4.0438;5 15 4.6065;5 2 5.8218; ...\r\n3 2 5.8056;5 6 7.2482;13 6 9.6175;15 4 7.6824;10 14 6.0254; ...\r\n11 12 3.8510;4 1 4.7212;10 5 5.1786;4 5 6.5047;14 13 2.0992; ...\r\n6 14 2.5653;15 10 1.6535;13 10 5.4645;4 1 2.3338;6 10 9.8610; ...\r\n4 12 8.8633;8 3 8.1092;8 2 8.7572;10 2 9.0844;11 6 5.0432; ...\r\n12 1 7.2593;11 7 5.8229;6 3 3.9919;14 4 3.6101;5 2 5.1267; ...\r\n13 14 7.2360;6 5 6.9171;8 2 2.5291;14 3 1.2135;9 5 3.8204; ...\r\n12 13 6.8024;7 10 2.1408;10 11 6.0102;12 8 3.5462;12 4 8.4483];\r\nassert(isequal(reaction_chain(R,1,12),16.52))\r\nassert(isequal(reaction_chain(R,15,9),23.12))\r\nassert(isequal(reaction_chain(R,9,15),8.43))\r\n%%\r\nR = [14 10 9.0000;14 10 10.0000;4 13 10.0000;5 2 8.0000;2 11 5.0000; ...\r\n10 3 6.0000;9 1 5.0000;13 2 5.0000;10 5 10.0000;10 3 6.0000; ...\r\n13 8 8.0000;13 12 2.0000;1 9 7.0000;13 11 4.0000;7 4 8.0000; ...\r\n2 11 9.0000;11 5 6.0000;7 2 9.0000;10 4 10.0000;3 5 5.0000; ...\r\n4 3 8.0000;3 8 3.0000;7 13 3.0000;1 13 7.0000;14 6 7.0000; ...\r\n6 1 6.0000;8 4 1.0000;12 1 4.0000;11 14 6.0000;10 14 6.0000; ...\r\n6 10 5.0000;2 7 6.0000;8 7 1.0000;4 7 7.0000;10 14 10.0000; ...\r\n2 14 2.0000;14 9 3.0000;1 5 9.0000;2 5 2.0000;3 1 8.0000];\r\nassert(isequal(reaction_chain(R,8,9),14))\r\n%%\r\nR = [1 2 5;1 2 9];\r\nassert(isequal(reaction_chain(R,2,1),Inf))\r\n%%\r\nR = [4 16 0.4237;2 9 0.0306;8 11 0.6388;1 13 0.1693;2 16 0.3843; ...\r\n8 6 0.5554;6 7 0.3490;17 7 0.1930;17 6 0.5509;17 2 0.2577; ...\r\n8 11 0.8995;4 18 0.4340;15 10 0.3313;8 13 0.9162;17 3 0.1199; ...\r\n17 12 0.0403;10 17 0.3857;6 5 0.2009;7 11 0.2684;12 15 0.1040; ...\r\n14 12 0.4747;17 2 0.5991;5 1 0.5799;16 11 0.8399;4 12 0.1740; ...\r\n6 1 0.7015;18 14 0.7567;10 6 0.2449;6 18 0.2307;10 4 0.4340; ...\r\n3 7 0.7936;15 17 0.5404;15 13 0.0432;3 5 0.2467;4 5 0.2755; ...\r\n18 7 0.2973;8 6 0.7573;7 3 0.6172;16 9 0.0776;17 6 0.6139; ...\r\n12 4 0.9600;12 10 0.8690;11 1 0.4827;15 14 0.5723;1 13 0.4494; ...\r\n12 14 0.8047;1 15 0.5674;2 5 0.1335;11 10 0.0689;18 5 0.3155; ...\r\n6 1 0.5279;5 8 0.9475;17 3 0.5919];\r\nassert(isequal(reaction_chain(R,7,13),0.91))\r\nassert(isequal(reaction_chain(R,1,18),1.37))\r\nassert(isequal(reaction_chain(R,14,2),1.38))\r\n%%\r\nR = [3 2 8.2070;2 1 1.0576;5 6 4.3201;5 6 1.1111;6 7 5.3338; ...\r\n11 10 9.7877;10 11 5.9987;9 10 4.3743;14 13 2.7591;13 15 8.6333; ...\r\n14 13 5.6640;17 18 1.6193;17 1 2.8767;17 18 6.9178;4 3 5.6304; ...\r\n4 3 4.3412;5 4 0.5619;9 8 9.5380;9 7 0.0224;9 8 7.1412; ...\r\n11 13 2.7473;11 12 0.6646;12 11 1.2049;17 15 8.9250;16 15 3.4592; ...\r\n17 15 0.4951;1 2 4.0666;1 2 0.5611;2 3 6.7063;6 5 2.7088; ...\r\n5 7 7.1288;5 6 0.6856;11 9 4.1500;11 10 5.9775;9 10 8.3965; ...\r\n15 14 7.5966;14 15 4.1755;14 13 8.3002;1 18 5.0146;1 17 9.7139; ...\r\n17 18 0.2792;3 5 5.4500;5 3 2.3200;5 3 8.7088;7 8 4.0699; ...\r\n8 7 1.8611;9 8 7.8793;13 11 7.7952;11 13 5.4524;13 12 1.3119];\r\nassert(isequal(reaction_chain(R,3,9),36.50))\r\n%%\r\nR = [2 1 7.2341;3 1 1.9214;6 7 7.0439;6 7 4.1053;5 6 1.2955; ...\r\n11 10 8.3926;10 11 9.0473;10 11 7.1775;14 15 7.2521;15 14 4.9151; ...\r\n14 15 9.6543;17 19 2.7357;17 18 2.7711;17 18 8.5647;3 2 4.8920; ...\r\n4 2 7.0194;2 3 8.9539;8 6 1.9255;6 8 1.1520;8 6 1.3625; ...\r\n12 10 3.7379;11 12 4.7925;12 10 7.2198;16 14 6.2466;16 15 7.1463; ...\r\n16 15 3.7445;1 18 6.6056;19 1 9.1260;19 1 3.0015;3 5 2.1327; ...\r\n4 3 3.6967;3 5 0.7346;8 9 9.3318;8 7 4.9644;8 9 3.0559; ...\r\n11 13 7.6445;11 12 1.6309;11 13 2.0184;17 15 7.9096;17 15 3.8180; ...\r\n16 15 4.1780;2 19 1.3889;19 2 2.6529;1 19 9.4927;5 4 6.9571; ...\r\n5 6 3.8858;4 5 8.8546];\r\nassert(isequal(reaction_chain(R,4,14),Inf))\r\nassert(isequal(reaction_chain(R,9,12),Inf))\r\n%%\r\nR = [2 1 1.5592;1 2 2.4465;7 6 5.9819;7 6 1.9563;5 7 4.9169; ...\r\n9 10 2.6206;9 10 3.6554;10 9 6.9576;2 1 1.5000;2 13 9.0677; ...\r\n13 2 7.3477;4 5 8.9883;5 4 7.8082;6 5 0.7312;10 8 2.5875; ...\r\n8 9 4.9516;10 9 3.9300;12 1 0.0830;1 12 9.7302;13 12 6.0841; ...\r\n3 5 0.0807;3 5 5.3663;4 5 2.4256;7 9 0.1973;7 9 8.2272; ...\r\n8 9 1.6038;11 12 8.2550;13 11 1.9458;13 11 1.3879;2 4 9.8468; ...\r\n3 2 4.8237;2 3 5.5103;7 6 9.9712;7 8 5.0623;7 6 8.8766; ...\r\n11 12 4.6054;10 12 1.0703;10 12 5.3461;3 2 5.4698;1 2 5.6282; ...\r\n2 1 2.9354;7 6 1.5597;6 5 8.5908;5 7 7.9862;9 11 5.0525; ...\r\n9 11 3.1038;11 10 2.6583];\r\nassert(isequal(reaction_chain(R,10,5),9.19))\r\n\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":17,"test_suite_updated_at":"2020-04-21T14:16:29.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-18T19:42:11.000Z","updated_at":"2025-12-04T16:15:32.000Z","published_at":"2020-04-18T21:51:06.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis problem is related to Problem\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"45470\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e45470\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eLet's denote a list of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e compounds as 1, 2, ...,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u0026gt; 2), as well as the time it takes to complete them (\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\u003ecompletion time\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ). With this information, we can generate\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\u003ereaction chains\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[Given N = 4 and the following valid reactions:\\nReaction 1: 1 --\u003e 2 takes 1.5 mins\\nReaction 2: 1 --\u003e 3 takes 2.5 mins \\nReaction 3: 2 --\u003e 3 takes 0.6 mins\\nReaction 4: 3 --\u003e 4 takes 4.1 mins \\nReaction 5: 4 --\u003e 2 takes 3.2 mins\\nSample reaction chains: 1 --\u003e 3 --\u003e 4 takes (2.5 + 4.1) mins\\n 1 --\u003e 2 --\u003e 3 --\u003e 4 takes (1.5 + 0.6 + 4.1) mins \\n 4 --\u003e 2 --\u003e 3 takes (3.2 + 0.6) mins]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task is this: Given a starting compound\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and a target compound\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, can you find a reaction chain between them with the smallest\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\u003etotal completion time\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe inputs to this problem are\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Variable\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is a 3-column matrix containing the list of valid reaction steps at each row\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\"Reaction\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e:\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) --\u0026gt;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) takes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) mins\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOutput the total time of the fastest reaction chain from\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, rounded to 2 decimal places. If a solution does not exist, then output\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eInf\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. You are ensured that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 20\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and all elements in the first 2 columns of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are integers within [1,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCompletion times are decimal numbers within (0,10].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is not equal to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEach compound 1, ...,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is mentioned at least once in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Hence,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e can be inferred from matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe following sample test case is the one illustrated above:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\\n\u003e\u003e reaction_chain(R,1,4)\\nans = \\n 6.20]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45391,"title":"Calculate the sphericity of a Raschig ring","description":"Sphericity is a measure of the roundness of any particle. It was defined by Wadell in 1935 as the ratio of the 'surface area of a sphere having the same volume as the given particle' to the 'surface area of the given particle'. By definition, the maximum value of sphericity is 1, which is that of a perfect sphere. The more elongated a particle is, the lesser its sphericity.\r\n\r\nA Raschig ring is a common particle found in packed beds that are shaped like small pieces of a tube (see figure). As a hollow cylinder, it has a height H, inner radius R1, and outer radius R2. The sphericity of a Raschig ring is important to calculate as it can influence the performance of a packed bed for adsorption. \r\n\r\n\u003c\u003chttps://upload.wikimedia.org/wikipedia/commons/thumb/4/4e/RaschigRings005.JPG/296px-RaschigRings005.JPG\u003e\u003e \r\n \r\nMake a function that takes three values: H, R1, and R2. Output the sphericity of this hollow cylinder rounded to 4 decimal places. You are ensured that:\r\n\r\n* H, R1, and R2 are all positive integers\r\n* R1 \u003c R2\r\n* All inputs have consistent units; and \r\n* No input value exceeds 100. ","description_html":"\u003cp\u003eSphericity is a measure of the roundness of any particle. It was defined by Wadell in 1935 as the ratio of the 'surface area of a sphere having the same volume as the given particle' to the 'surface area of the given particle'. By definition, the maximum value of sphericity is 1, which is that of a perfect sphere. The more elongated a particle is, the lesser its sphericity.\u003c/p\u003e\u003cp\u003eA Raschig ring is a common particle found in packed beds that are shaped like small pieces of a tube (see figure). As a hollow cylinder, it has a height H, inner radius R1, and outer radius R2. The sphericity of a Raschig ring is important to calculate as it can influence the performance of a packed bed for adsorption.\u003c/p\u003e\u003cimg src = \"https://upload.wikimedia.org/wikipedia/commons/thumb/4/4e/RaschigRings005.JPG/296px-RaschigRings005.JPG\"\u003e\u003cp\u003eMake a function that takes three values: H, R1, and R2. Output the sphericity of this hollow cylinder rounded to 4 decimal places. You are ensured that:\u003c/p\u003e\u003cul\u003e\u003cli\u003eH, R1, and R2 are all positive integers\u003c/li\u003e\u003cli\u003eR1 \u0026lt; R2\u003c/li\u003e\u003cli\u003eAll inputs have consistent units; and\u003c/li\u003e\u003cli\u003eNo input value exceeds 100.\u003c/li\u003e\u003c/ul\u003e","function_template":"function y = raschig_sphericity(H,R1,R2)\r\n y = x;\r\nend","test_suite":"%%\r\nassert(isequal(raschig_sphericity(1,1,2),0.5724))\r\n%%\r\nassert(isequal(raschig_sphericity(8,6,7),0.3121))\r\n%%\r\nassert(isequal(raschig_sphericity(5,1,6),0.7379))\r\n%%\r\nassert(isequal(raschig_sphericity(63,42,80),0.5898))\r\n%%\r\nassert(isequal(raschig_sphericity(49,10,68),0.7246))\r\n%%\r\nassert(isequal(raschig_sphericity(96,48,80),0.5408))\r\n%%\r\nassert(isequal(raschig_sphericity(60,23,75),0.6827))\r\n%%\r\nassert(isequal(raschig_sphericity(16,77,82),0.2694))\r\n%%\r\nassert(isequal(raschig_sphericity(17,72,80),0.3272))\r\n%%\r\nassert(isequal(raschig_sphericity(17,62,72),0.3667))\r\n%%\r\nassert(isequal(raschig_sphericity(27,84,91),0.2859))\r\n%%\r\nassert(isequal(raschig_sphericity(11,20,50),0.4666))\r\n%%\r\nassert(isequal(raschig_sphericity(88,60,71),0.3213))\r\n%%\r\nassert(isequal(raschig_sphericity(36,88,99),0.3313))\r\n%%\r\nassert(isequal(raschig_sphericity(45,27,68),0.6329))\r\n%%\r\nassert(isequal(raschig_sphericity(18,86,90),0.2318))\r\n%%\r\nassert(isequal(raschig_sphericity(17,3,35),0.6679))\r\n%%\r\nassert(isequal(raschig_sphericity(56,82,97),0.3673))\r\n%%\r\nassert(isequal(raschig_sphericity(3,37,68),0.2113))\r\n%%\r\nassert(isequal(raschig_sphericity(47,5,64),0.7495))\r\n%%\r\nassert(isequal(raschig_sphericity(58,30,61),0.6098))\r\n%%\r\nassert(isequal(raschig_sphericity(14,30,84),0.4155))\r\n%%\r\nassert(isequal(raschig_sphericity(4,27,100),0.1877))\r\n%%\r\nassert(isequal(raschig_sphericity(45,16,91),0.6520))\r\n%%\r\nassert(isequal(raschig_sphericity(4,12,35),0.3453))\r\n%%\r\nassert(isequal(raschig_sphericity(76,89,92),0.1379))\r\n%%\r\nassert(isequal(raschig_sphericity(68,82,100),0.3876))\r\n%%\r\nassert(isequal(raschig_sphericity(88,39,97),0.6518))\r\n%%\r\nassert(isequal(raschig_sphericity(44,17,43),0.6590))\r\n%%\r\nassert(isequal(raschig_sphericity(69,93,100),0.2314))\r\n%%\r\nassert(isequal(raschig_sphericity(60,94,97),0.1451))\r\n%%\r\nassert(isequal(raschig_sphericity(5,30,33),0.3154))\r\n%%\r\nassert(isequal(raschig_sphericity(87,43,49),0.2549))\r\n%%\r\nassert(isequal(raschig_sphericity(14,24,41),0.5087))\r\n%%\r\nassert(isequal(raschig_sphericity(87,76,85),0.2686))\r\n%%\r\nassert(isequal(raschig_sphericity(39,59,81),0.4706))\r\n%%\r\nassert(isequal(raschig_sphericity(34,85,89),0.2058))\r\n%%\r\nassert(isequal(raschig_sphericity(94,39,81),0.6148))\r\n%%\r\nassert(isequal(raschig_sphericity(28,3,95),0.5608))\r\n%%\r\nassert(isequal(raschig_sphericity(54,67,88),0.4456))\r\n%%\r\nassert(isequal(raschig_sphericity(76,98,100),0.1034))\r\n%%\r\nassert(isequal(raschig_sphericity(86,99,100),0.0633))\r\n%%\r\nassert(isequal(raschig_sphericity(15,33,35),0.2297))\r\n%%\r\nassert(isequal(raschig_sphericity(70,95,99),0.1649))\r\n%%\r\nassert(isequal(raschig_sphericity(74,18,48),0.6685))\r\n%%\r\nassert(isequal(raschig_sphericity(58,46,92),0.5909))\r\n%%\r\nassert(isequal(raschig_sphericity(82,33,64),0.5923))\r\n%%\r\nassert(isequal(raschig_sphericity(68,59,65),0.2461))\r\n%%\r\nassert(isequal(raschig_sphericity(2,13,33),0.2450))\r\n%%\r\nassert(isequal(raschig_sphericity(45,53,100),0.5528))\r\n%%\r\nassert(isequal(raschig_sphericity(72,98,99),0.0673))\r\n%%\r\nassert(isequal(raschig_sphericity(64,96,98),0.1097))\r\n%%\r\nassert(isequal(raschig_sphericity(95,90,92),0.0993))\r\n%%\r\nassert(isequal(raschig_sphericity(74,18,27),0.4265))\r\n%%\r\nassert(isequal(raschig_sphericity(32,35,61),0.5499))\r\n%%\r\nassert(isequal(raschig_sphericity(29,32,81),0.5534))\r\n%%\r\nassert(isequal(raschig_sphericity(95,9,35),0.7062))\r\n%%\r\nassert(isequal(raschig_sphericity(60,83,97),0.3518))\r\n%%\r\nassert(isequal(raschig_sphericity(56,4,69),0.7725))\r\n%%\r\nassert(isequal(raschig_sphericity(85,7,41),0.7745))\r\n%%\r\nassert(isequal(raschig_sphericity(26,43,61),0.4810))\r\n%%\r\nassert(isequal(raschig_sphericity(97,13,32),0.6015))\r\n%%\r\nassert(isequal(raschig_sphericity(90,62,78),0.3825))\r\n%%\r\nassert(isequal(raschig_sphericity(36,65,91),0.4733))\r\n%%\r\nassert(isequal(raschig_sphericity(74,95,96),0.0674))\r\n%%\r\nassert(isequal(raschig_sphericity(43,1,71),0.7321))\r\n%%\r\nassert(isequal(raschig_sphericity(79,56,58),0.1229))\r\n%%\r\nassert(isequal(raschig_sphericity(1,98,99),0.1419))\r\n%%\r\nassert(isequal(raschig_sphericity(83,36,66),0.5745))\r\n%%\r\nassert(isequal(raschig_sphericity(12,78,88),0.3322))\r\n%%\r\nassert(isequal(raschig_sphericity(30,36,67),0.5501))\r\n%%\r\nassert(isequal(raschig_sphericity(44,70,91),0.4429))\r\n%%\r\nassert(isequal(raschig_sphericity(1,8,51),0.1183))\r\n%%\r\nassert(isequal(raschig_sphericity(78,81,93),0.3144))\r\n%%\r\nassert(isequal(raschig_sphericity(37,88,92),0.1995))\r\n%%\r\nassert(isequal(raschig_sphericity(7,72,94),0.2976))\r\n%%\r\nassert(isequal(raschig_sphericity(90,76,99),0.4243))\r\n%%\r\nassert(isequal(raschig_sphericity(54,96,100),0.1764))\r\n%%\r\nassert(isequal(raschig_sphericity(53,84,99),0.3670))\r\n%%\r\nassert(isequal(raschig_sphericity(94,46,87),0.5889))\r\n%%\r\nassert(isequal(raschig_sphericity(94,81,99),0.3707))\r\n%%\r\nassert(isequal(raschig_sphericity(45,83,100),0.3923))\r\n%%\r\nassert(isequal(raschig_sphericity(37,17,86),0.6207))\r\n%%\r\nassert(isequal(raschig_sphericity(59,96,98),0.1125))\r\n%%\r\nassert(isequal(raschig_sphericity(26,68,98),0.4545))\r\n%%\r\nassert(isequal(raschig_sphericity(62,32,66),0.6133))\r\n%%\r\nassert(isequal(raschig_sphericity(41,9,63),0.7096))\r\n%%\r\nassert(isequal(raschig_sphericity(88,55,69),0.3730))\r\n%%\r\nassert(isequal(raschig_sphericity(90,79,96),0.3663))\r\n%%\r\nassert(isequal(raschig_sphericity(60,56,70),0.3962))\r\n%%\r\nassert(isequal(raschig_sphericity(55,99,100),0.0730))\r\n%%\r\nassert(isequal(raschig_sphericity(69,48,87),0.5765))\r\n%%\r\nassert(isequal(raschig_sphericity(22,25,33),0.4465))\r\n%%\r\nassert(isequal(raschig_sphericity(71,85,97),0.3154))\r\n%%\r\nassert(isequal(raschig_sphericity(75,11,58),0.7642))\r\n%%\r\nassert(isequal(raschig_sphericity(85,84,91),0.2270))\r\n%%\r\nassert(isequal(raschig_sphericity(28,13,74),0.5982))\r\n%%\r\nassert(isequal(raschig_sphericity(56,1,43),0.8440))\r\n%%\r\nassert(isequal(raschig_sphericity(44,78,97),0.4158))\r\n%%\r\nassert(isequal(raschig_sphericity(59,15,66),0.7230))\r\n%%\r\nassert(isequal(raschig_sphericity(73,43,56),0.4007))\r\n%%\r\nassert(isequal(raschig_sphericity(27,99,100),0.0909))\r\n%%\r\nassert(isequal(raschig_sphericity(83,60,93),0.5209))\r\n","published":true,"deleted":false,"likes_count":4,"comments_count":4,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":98,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-26T17:26:21.000Z","updated_at":"2026-03-18T09:57:55.000Z","published_at":"2020-03-26T17:26:21.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/media/image1.JPEG\"}],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSphericity is a measure of the roundness of any particle. It was defined by Wadell in 1935 as the ratio of the 'surface area of a sphere having the same volume as the given particle' to the 'surface area of the given particle'. By definition, the maximum value of sphericity is 1, which is that of a perfect sphere. The more elongated a particle is, the lesser its sphericity.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA Raschig ring is a common particle found in packed beds that are shaped like small pieces of a tube (see figure). As a hollow cylinder, it has a height H, inner radius R1, and outer radius R2. The sphericity of a Raschig ring is important to calculate as it can influence the performance of a packed bed for adsorption.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eMake a function that takes three values: H, R1, and R2. Output the sphericity of this hollow cylinder rounded to 4 decimal places. You are ensured that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eH, R1, and R2 are all positive integers\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eR1 \u0026lt; R2\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAll inputs have consistent units; and\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle 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\"}]}"},{"id":45464,"title":"Design a minimum-cost cable network for a power grid","description":"You are given the 2-D point locations ( _xi_ , _yi_ ) of *N* _components_ of a power grid. These _components_ include power sources (power plants, wind farms, solar farms, etc.), loads (residential, commercial, etc.), storage stations, and substations. However, the cables between them are not yet installed. \r\n\r\nYour task is to design a _complete_ cable network by installing cables between pairs of components. A network is considered _complete_ if and only if a path exists from any component _A_ to any other component _B_. A _completed_ network of cables is enough to deliver power from any source to any load or vice versa (excess power can be sent back to the grid). After all, cables can carry power in both directions. \r\n\r\nHowever, the cost of installing a cable between components _A_ \u0026 _B_ is *D* dollars per unit straight-line distance between their point locations. This means that we don't want to install too many cables; we only need to install enough to make the network _complete_. Knowing the locations of all *N* components, can you design a _complete_ cable network whose total installation cost is minimium?\r\n\r\nWrite a function that accepts variables *P* and *D*. Variable *P* is an *N*-by-2 matrix where each row is a location ( _xi_ , _yi_ ). Output the required minimum total installation cost, rounded to 2 decimal places. You are ensured that:\r\n\r\n* 2 \u003c= *N* \u003c= 100\r\n* 100 \u003c= *D* \u003c= 1000 and 1 \u003c= _xi_, _yi_ \u003c= 100\r\n* *D* and all elements of *P* are integers\r\n* All point locations in a test case are distinct\r\n \r\n\r\nA sample test case is given below. \r\n\r\n \u003e\u003e P = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; ...\r\n 5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];\r\n\u003e\u003e connect_grid(P,400)\r\nans = \r\n 18394.83\r\n\r\nA visualization of this case is given here: \u003chttps://drive.google.com/open?id=1wqnH0j6aihbD_Jm5pxrW7dhTm3VxrEAI\u003e\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 929.6px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 464.8px; transform-origin: 407px 464.8px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYou are given the 2-D point locations (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003exi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eyi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ) 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomponents\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of a power grid. These\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomponents\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e include power sources (power plants, wind farms, solar farms, etc.), loads (residential, commercial, etc.), storage stations, and substations. However, the cables between them are not yet installed.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; 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 41.6px; text-align: left; transform-origin: 384px 41.6px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYour task is to design a\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomplete\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e cable network by installing cables between pairs of components. A network is considered\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomplete\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e if and only if a path exists from any component\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eA\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e to any other component\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eB\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. A\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecompleted\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e network of cables is enough to deliver power from any source to any load or vice versa (excess power can be sent back to the grid). After all, cables can carry power in both directions.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; 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 41.6px; text-align: left; transform-origin: 384px 41.6px; 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=\"\"\u003eHowever, the cost of installing a cable between components\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eA\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026amp;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eB\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eD\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e dollars per unit straight-line distance between their point locations. This means that we don't want to install too many cables; we only need to install enough to make the network\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomplete\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Knowing the locations of all\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e components, can you design a\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomplete\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e cable network whose total installation cost is minimium?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that accepts variables\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eD\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Variable\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is an\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e-by-2 matrix where each row is a location (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003exi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eyi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ). Output the required minimum total installation cost, rounded to 2 decimal places. You are ensured that:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 80px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 40px; transform-origin: 391px 40px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e2 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 100\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e100 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eD\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 1000 and 1 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003exi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eyi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 100\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eD\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and all elements of\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are integers\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAll point locations in a test case are distinct\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA sample test case is given below.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 100px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 50px; transform-origin: 404px 50px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; P = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(14, 0, 255); border-block-start-color: rgb(14, 0, 255); border-bottom-color: rgb(14, 0, 255); border-inline-end-color: rgb(14, 0, 255); border-inline-start-color: rgb(14, 0, 255); border-left-color: rgb(14, 0, 255); border-right-color: rgb(14, 0, 255); border-top-color: rgb(14, 0, 255); caret-color: rgb(14, 0, 255); color: rgb(14, 0, 255); column-rule-color: rgb(14, 0, 255); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(14, 0, 255); text-decoration: none; text-decoration-color: rgb(14, 0, 255); \"\u003e...\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; connect_grid(P,400)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 18394.83\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA visualization of this case is given below:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 351.6px; 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 175.8px; text-align: left; transform-origin: 384px 175.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"719\" height=\"346\" style=\"vertical-align: baseline;width: 719px;height: 346px\" 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o0a53MxKt1FYWOiGvfnmmy6gHc77HMuCBQts06ZNVlRUtHNaUc1pLV+2adbsQKtXT+Gs4tIBvojl2T75xX6g63tvnLe99T/evQNQMwg8AwDqvO7dz7a9957u9a0uHRDTy/bjH2+x1q1/5r8HAAAAKk8pLq688kp77LHHXK7mylJaDaXIUAC5RYsW7nXkyJHuf6r53Llz5wprPiu9RteuXd204bQdqo2dbVq2OMkOanye5dlDlpfnD/R8H8mz7yL5tnd+sfe/f1qjRovtlFNO8/8LoCYQeAYA1HkXXXSZXXDBPlZQMNF790bpwJ3+5XWT7LjjVlvv3l1s//0PKh0MAAAAVIFSXIwbN84FfCtL6TAUdI7ODz1+/PidAWQFn++8807Xnwyl7QhqPm/ZssW9Zou/vhWxm69rZ8e02c9+sP9TFonM8obuKP2n55uS7RaxjdZwr69t4MAuduSRrf3/AKgJBJ4BAHXeAQccYLfeeptdfPH31qzZNG/Ir71uhtdNsMaNJ9rpp6+w4cPPtm7dLtLoKVMNk5kzZ7p+5czLxkcWAQAAUH1US1m1nZNp/C+R0aNHu9cTTzzRvYaF8z4rOJ0KLVu2efyREruwW7H9akI9e/ypH9vNN59qP/rRHNt999u9/97rdffbnnuOtsOPvt0aNfiRlXwzyurVq+emBVAzCDwDAOo8NTrSsuXhNmrUrXbHHSfbDTdssvPOW27XXfeJTZr0E6+70bp372UFBQX+FMnLy8vz5t3S5dsLqLEWDScADQAAUPco6HzyySdXOegs4TJmLH379vX7UnPIIYe4V6XuqGk7dpgN+0WJTRpbYk8vLLCLe5vVr7+fXXNNf7vnnn52660Ru/jiVda79zs2cWJjmzS5uz313L720MzdrOgZGhcEahKBZwBAnacgsILPrVsf5RVYr7W7777PZs4ca/fdd49de+1NrlGSPfbYwx87NZpvvK5jx47+WAAAAKgLKgo6K++zGgqMpuGxqIKDbNu2zb1GC9JvNGrUyL0m6403StPPDR061L3WlE8/MTuvsNj++W7EFv+lnh19TJ4ru0vDho3s3HMv9rbXOJs16x67//7b7Ze/vN0KC7vbz45raI/MLbBBfYvtnTUEn4GaQuAZAABPUIAN/OAHB3nDUq/hDAAAAMSioLOoNrGefIvuZsyYYR06dLCTTjrJjRdQILpp06bWrl07f8guN998s3u977773Gs0zVeUAzps/vz5NmXKlJiNDq5atcomTZrk0nTUZI1n5XPufPwO+1nbPHuqqMCaNPX/EcO++zawRo3KjtDxlDy7bXy+9Ty32AWwAVQ/As8AAAAAAAAZotrKquGsPMvqlHYtVjdgwADbvHlzucYGJ0yY4F7ffPPNnYHkQP/+/W3gwIGuHZEuXbq4oLHoM9XwYPfu3d3/hw0b5oYHunXrZsOHD3c1phUQVyBa81YwunPnzi5QHT1NdQryOd82vsDGTs63yqZqvrp/vp1RmG99+xS7lB0AqheBZwAAAAAAgAxRQHju3Ln+u8RipeAIGggsLCyMmapt6tSpVlRUZA0bNrQ2bdq4J/lUQ/rpp592/1MXbc6cOda2bVvXr2C4AtHjxo2zrVu3ugB3TQWdo/M59+xT9qnEyphyb2no68bBJe4VQPUh8AwAAAAAAJAhy5cvj9neR6wuVpBYQWD9b8GCBf6Q8lRLWjWcw/PS+3i5pDU8erk0//Hjx9dYeo1Y+ZzTQbWlle/5tVciNvMBgs9AdSLwDAAAAAAAgBqTSj7nytD8nng638bfVmIvv0hjg0B1IfAMAAAAAACAGpGufM4V+fEReTbjkQKX73n9WoLPQHUg8AwAAAAAAIBqlYl8zhXp0i3Prrsh3y45r8S+/MIfCCBjCDwDWWz9+vWuheHGjRu7BiLUKReXWhwGAAAAACAXZSqfczJuGJ5vPzvO7IqexS74XZM+++wzmzJlirVq1arMPf+qVav8MdInyPkdfJYavUwkiEdUNB6QCIFnIEvpQqNWhtXC8Oeff+4PNdcasloc1gUAAAAAAIBckul8zsm4d0aBbd1iLudzTVHQWUHd4cOH27p16/yhpff8nTt3TlvwWRXXFGzu1auXbdmyxcaNG2crV66M21jla6+95gLULVu2dPEIoCoIPANZSBcgXWhU03n69Om2ZMkS1w0cONAfw9wFYMaMGf47AAAAAACyW3Xlc67InnuaPTavwObOLnHLVBMGDx7sgrsKAkciERd8njx5svufKp/16NHD9VfFqFGjXMW1zZs3u5iCgs0KKh9zzDH+GGWplvO2bdvsuuuuc8sGVBWBZyALPfXUU+5isHbtWuvfv7917NjRdVOnTrU5c+b4Y5ndcsstfh8AAAAAANmpJvI5V+SAA81mzyuwMcNLbPnS6m1sULWKVdFM6S+CIHCLFi1s2LBhOyucKRCtQHBl6SnpCRMmuCep33vvPRdTqIiWoWvXrm7cnj17+kOByiPwDGQhPVIzduxY/11ZCkgHF6JwCg4AAAAAALJNTeZzrsjPjsuzKfcW2KU9im3jBn9gNWjWrJmrWBZL7969/T6zBg0a+H2pUU1nPSXdqFEjV8u5SZMm/n+SV9nPBsIIPANZSBegRBeGk08+2e8DAAAAACA7ZUM+54r06Jlnl/fNtz49iu3LL/yBGaaaxRUpLCysVMBYtalV01kqii0AmUbgGchBhxxyiHsl5xIAAAAAIBspd7JqOtd0PudkjLo935p5t9lD+hf7Q2rO888/72oqB/meU6XGA0XxAj0xDdSknA88K9XAp59+at9++60/pDwlad+6davLlwukW15enu21117+u+qxZs0a99qvXz/3CgAAkCvUwJHK7999950/pDyV39XyfriVfyBd9thjD9t77739dwDSLcjnPO627MnnnIyZjxTYP981u2N8zTQ2KMr5rBQZzz77bNwGABNRbeeFCxe6/ptvvtnNT8FnxS3UtWvXzg0DqkvOB57vu+8+u/feexPmulXB9pe//CUNsSGtdEN0zz1TvG6SHXXUD+3444+yG28cZEuX/tkfI3P++Mc/ul9A+/bt6w8BAADIDffcc4898MADLrAcz4YNG2zIkCF22223+UOAylO5XdavX2u/+c0d3r1hf2vV6gA766yTbPLksbZuHRWUgHQJ8jn/fXVpPmflUM4V++yrxgbz7cFpJVb0TPU3NqjGAHv16uUaHdR1sDJUWzpwxx132Ntvv23XXXedFRUVucYC33zzTfcZ+iygOuRs4FmFB32JHnvsMfv66693Fiaiffnll/bMM8/YCy+8YF999ZU/FKiab775yrp3P9fGjPmb/epXX9qmTX+3Zcum2fTpR9qAAb+yO++cYjv0M28GqOFB/YKpY59cTQAAIFeovD5p0iSbM2dOwvL79u3b7emnn7Y//elPbjygKnScqZbfn//8sl100RAbNWqN/e53Heyzz961F18cY5Mnf2cDB95gTz5JDUCgqoJ8zv9zVJ6r6XzAgf4/cshhzfPskbkFNqhvsb2zpnqCz1OmTLFOnTq5ms6ip30qGxxetGiRe1VFtaVLl9r48eOtY8eO1rVrV1fTeeDAge7/+ixqPqM65GTgedmyZXbVVVe5X2wKCgp2PjIQy/Lly+3hhx92jyjEK9wCqfj888+sZ89Lbf78+vbll7+xbdt+6Q1t4R1fJ3k3R1faqlW324MPvmBz5/4/++abb0onSqPhw4e7i4UuHAAAALlAN79XXnml+/G8Xr16ccvu8sYbb9jjjz9O+R1poWPtlVcW2XXXjbcVKzraV1/d55XZe3v/+ZGVlJzhle2vtyVL+tj06Q/Za68tKZ0IQMqCfM6jb8+3Kfdmdz7nihx/Up7LSd3z3GJXgzvThg0b5q53S5Ys2RkYFgWHFZROhWo0S/v27WNWVBs7dqzfZzZ69Gi/D8icnAw8z5o1y+V01hfmlFNOccG9WIXS9957zx599FE74YQT7KSTTrLvv//e/w9QOV9++YU99tiT9uyzX3kF1fu8IWqSNziZ6+tU3zsWj7d//GOA/e53T9n27VtL/5UmM2bMsM8++8y1TAsAAJArfvvb37qnwdTg0Yknnhi3fZa///3vrgaWamcdf/zxlN9RZRs2fGAPPfSsrVhxrPfuZq/bz+v21b88iozt791PdrFly7rZ7NmzSgcDSFp0PufeV+R8Rlfn8r751u3cfOvbp9itY3XQtU/3+itXrnQ1lkVPCqWTgtFKuSG0o4DqkHNnhOLiYve4gQqtehRBjUKUlJRP/K6cz08++aQr4F5//fWuZnQqFMjebz8VShDIz893XV0WiZTYli1K2XKY1yVKc9HBu3H6h3dspq9FXOV8evDBB23BggX+kOzHMRMb2yU+tk1sbJfYVItN2yVRzcm6aLfddov5gzxQU1R+V35JVRpRZZB45Xf9uK7yu8rtAwYMcK+pHMuU38vj+lGaIm/LFm2DFl63m+2eV+LdBEcfV/vZl1+2tnfe+Zv/vm4Krqsoj+9SbJv+W2BX9qyfk/mck6Faz6q5fePg1BobrOrxoid+RowY4foTtWdWWcceqx/iaoa2S6rxudpu9913r9Vl9zxv5XJq7bS44RtMNTqimhC33nqrHXTQQf7Q0pZAVdtZw/Wlvfvuu+3ll192uZ6T0blzZ7fz9913X/eZ+gx9Oc877zw7+OCDM5a/N1vp5KAGYLQdfvCDH8S8Wajt9Fjoxo0fecfUVPu//zvFG3J56T/i+qk999wk+9nP2rhjtipfNdX+UW6m+++/f+cvn9lOx4wa9txrr73cTWBdPGZi0bGgWl6bNm2yQw45hO0SomNGjWjoHFPbL76p0HbZunWrO272339/jpkoH330kR166KH+u7pFAWaVbdTquXLi6vyia5VqyUycONEuvPBCf0ygZkWX3/UYsY5VPeJ7wAEH+EPNHnnkEXvqqadcg4JHHHGE3Xnnne6R4eeee84fI7EOHTq4mlx77rnnzvK7ak2r/K5riwLgdQllMXPr/uKLz9nYsUvtb3+7xPKso9Uv2GHbi+uVCz2b/dO7z+tuL730jNWvv1+dLIdonVUWq6vX1Xj0Xdq4caM1bNjQHVOUUUv9ffXuNujqfa3Tqdvt9knF3naqneeY7dvyrdd5jazX5V9ZnysrbndA1ztdf3T+1f1eZY+XDz74wD0hJB9//LF7TUafPn1c+fDUU0+12bNn+0PLUq1qxRck0byD8RLNKxX6Lqnsrmt/XawooXVWOhWV3fWDgraHykN/+9vfbMyYMXbppZf6Y9YuORd4jhYr8KwC6m9+8xtX+FRtZzUweN9993mFiJeSDjyrNsbll19uhx12mCukqtMNf6tWrWyfffapc18QfSE2b97strVOEnWx4Kpf5T7++EO7+ea77I9/PMkbUlHguZEtX77QWrc+ukrbS63Q6iT0u9/9zrVumyt0zPz73/92tZp0s1PXvjPxqCCi9ED//e9/3fmFIOIu2jYffvihO8co8IxS2i4KPOu4OfDAAzlmQnRe0TGj71I4qFVX6DyrAMH69evtu+++c9tA51w9knn11VfbJZdc4o8JZJdYgWfldX7ggQfcE42q7bxt2za75557XLn+//7v/9w4FVElkV/84hc7K0mo/K77g5YtW9bJYJHOEZ988okLxDdo0KBOlsW03xcs+KONGvWKrVx5ke2Rd5IV5EXsq5JYte02eNvpSNu48dM6W24Nrqs//OEP/SGQ4HqrCkC6ztbV4yNs3twCG31zgQ0fs826nbe91scI1v4zz87vsptN/d0O63RqxeupuInuhfVdqsrxooqQP/rRj1xMIFm333673XHHHa5f3+dYMQRdXxVj0HXz1Vdf9YeWF4x3xhlnuEZ/qyq439M9jYKwdY3OJQr0q+yuSkVB2V0VZXv06OHasquVvC9BTrv++usjXuE0snHjRvf+o48+igwdOjTSq1eviPfljHiFLfc6YsSIyCmnnBL57LPPIp9//rkbN5F27dpF3n//ff8dZMuWLZH//ve//ru6afv2rZHx4+/1rhz9vE5XkHjd3yNHHHFC5NNPS4/Lylq5cmWksLAwsmnTJn9IeZMnT46sW7fOf5dd9P3bvn27/w4B7yLjzlUoT9vlu+++898hsG3btsh//vMf/x3CuFaXd/XVV0ceffRR/x2QfVR2v+6661w5QT744IPIL3/5y8jll18eWb16tVd++jSyatWqyE033RQ566yzXNld5dCKHH300a6sj120LXUNqcvWr383cv75v/TK57+N1C/YEamXVxxVble3I7Lbbv8X6d79NH+quovramwff/xx5Ouvv/bf1V3ffx+JjB5WHDnyh99HVrxZUqdiBC8sKIm0OOD7yLr3Svwh8e3YsSPy4Ycf+u8qZ8mSJd65ySJz5szxh5QXK06g2ICmSzTtwIEDK5y3KNag8RSTSBdtF20f7DJ48ODIzJkz/Xe1T61LUqTk6KoxoarqeiRANSpGjRplr7zyinu0Xfnl/vjHP/pjx6dfHrwLi/8O4h0vrqvL9t13Pzv99A62zz4rvXdvlA6M6Uq79NJzvfEqn2fQu+Fyv3qpVv8777zjcjyHu/nz57t858qF2KKFctZlH46Z2Ngu8ammBNumPG0TajqXF3yXOGbKUi3PulgDHLlLDYL/+c9/tr/+9a+uHRfVeFZt6Ndff9093q4nGPVYakUov5fHOdLsRz/6iZ1wQjOrl7fR2xbf246Yt8BrveNnpF1+eX//fd3E8RIf28bss01mF3Yrtr++uSufc13aLmcU5tnQW/LtkvNK7Msv/IFxaJtUVHbX/f6UKVPcvX00tXlwww03WGFhYcwn2FRjVjWZmzZt6uICYYoNTJ8+3fXrWqp5hWlapaZt27ZtjTwdl8y2qWtqeyrfWhd41qN0esROAWaly9AjAXpkT7l1VIX9zDPPtMMPP9wfG0jd0Ue3tpEjz7MGDSZ77+Z6XdAIiVpd/5PXXWy9ejX3TuIXuGOuMnTxUJ5x/ZDSrVs3dwxHdxo+bdo0u+aaa/ypAAAAco/K5rrB1g/q4fJ7s2bN3GPGeq90d0BlnXdeN/tJiy5eaX2e967I6/7thpspIPOw5eXdaCNGnO7dK55dOhhAGW+viljn43fYj4/Is6cXFtgBB/r/qGMG/iLf2nbIsyt6FltVY4XDhw93na53Xbp0ccFgBaH1qrSxim3Fy6us9hCCRgeVVjZa//79XSVMxRM0bwWbRfPv2bOnm/eCBQvcsHg0zcyZM13/woULYwbIgWTUusCzAswXX3yxqymh4LMKsKolcdxxx7nGAJQzpWPHjv7YQOr23ntf7/jqZ7fc0t4KC//s3QjN8oYOsfz8G+3444ts8OB9bPLkO7yT+eGVqnGmoLOCysm2XqsfUwAAAHKV8rTrRjhcfh88eLC1adPG5Wu+4oor7IQTTvDHBlLXuNH/2JbPjrF+g9Z794KLrGnTSd7QIdagwe121llv2sSJP7URIybafvvVL50AwE5zZ0fsvMJiGzEm36bcq8bQ/H/UUffNyLcvvjAbf1vVau1OnjzZ1WgWBXZ79erlfoRVzuWHH37YBaDVYG4sakBawWPlHdcT0rGoYcCiIv3QVlpBU7EJzf+iiy5yQed48xaNq2kUuA4oQK7hBKCRqpwPPOtxuq+++irh4x36vxoY/EJnByANGjduYtdff4PdddflNmVKO+8GaZP32tjuuKOr3XPPTDv00MP8MVPXtWvXnY8sJdNla5oNAACAWFR+V6dyTDyU35FOjz9SYt0v2M1+dftAr6x+kY0bd6hdd91mr+ze3CvPX23Dh0+0vfba0x8bgKhG75jhJXb7qGJ7qqjAel9R6+otVooC74/MLbB5c0vcuaWyjjnmGBcADt/bL1++3AWMK6osqRjA2rVrbfPmzS5+EI/+p3mG5z9s2LCEQWcJL1N0R0VOpCrnzxx6bEC1Q/UYXjxqyVlfjksvvdQfAlSd0mi0bn2snX/+pV7h9QG76abbvePszDrZOisAAECydCN89tln2z777OMPKW+vvfayU045pUbyT6L2+e20EruqX541btzU2rbtaP37D7XJk2fatdfeaEcddaw/FoBArHzO2EWpRmbPK3CB+eVLyYsOJJLzgWc1vqbUGvvtF78RNxVczzrrLPfYnn6hAdJJx9TWrVv9dwAAAEhEZXeV4evXj5/WQEFpBaf79etH+R1V8qeFEe94yrN2HXYFzlSbfsuWLf47AGHkc07O0cfk2X0zCuzSHsW2cYM/EEA5de5Zicrk3AUAAABQMyi/oyp+/7vS2s4AKkY+59R0OzfPO7/kW58exfYlmaGAmEjSAwAAAACodT79pLTGc88+3PYCiQT5nG8dTj7nVI24Nd9atDIb0r/YHwIgjLMJAAAAAKDWUcNfCjo3aOgPAFBOkM/5L69F7NU3yedcGUq58c93ze4YX/nGBoHaisAzAAAAAKDWeei3JXbZ1QTRgHiCfM6HNc+z518hn3Nl7bOv2dxnCuzBaSVW9AztEgBhBJ4BAAAAALWKUmw0aZJH7U0gDuVzPuf0Yht6S77dN4N8zlXV7BCzx+YVuJQb7/7dHwiAwDMAAAAAoHZ5aCa1nYFYovM5X96XsFC6tOuQZ2Mn51vvCyK26b8F/lCgbuMMAwAAAACoNTZuMHvtFRoVBKJF53NWoBTppYYZz78oz4b/opEL8gN1HVdiAEDafPbZZzZlyhRr1aqV5eXlue6SSy6xVatW+WMAAIB0eu2119y1Nrju6hqsa3G6rF+/3gYNGmRdunTxh6TuiSeecMsYlA+qMq9kPPq7EuvRM9/lXQVQinzO1eeW28z22CNiNw6msUGAwDMAIC0UdNaN5PDhw23dunX+ULO5c+da586dCT4DAJBmCuh26tTJXWsDugbrWqxgcVUEAe2WLVvatGnT/KGpmT9/vgs29+rVy7Zs2WLjxo2zlStX2oIFC/wx0k81DBV4Js0GsAv5nKuXtu+d92+2v7wesZkPEHxG3UbgGQCQFoMHD3Y3p7qhjEQi7sZ38uTJ7n+ff/659ejRw/UDAICq0w+6Ci7PmTPHNm3a5K69RUVF1rZtW/d/BYuffvpp158q1XLetm2bXXfdde7aXhmjRo2ybt262ebNm23JkiUu2KxA9jHHHOOPkRlqVPCAA2hUEBDyOdecvfeJ2BNP59tdE0vs5Rcj/lCg7uGsAwCoMtWKaty4sat5FdxQtmjRwoYNG2YDBw507xWI1o0sAACouokTJ9rixYtdMLdJkyZuWNeuXcvUfv7LX/7i96VG13DNq2PHjtazZ09/aPIUEJ8wYYILgr/33ntuPtXl4Zkldu0ggs4A+ZxrXotWeTbjkQLr26fY1q8l+Iy6icAzAKDKmjVrZlOnTvXfldW7d2+/z6xBgwZ+HwAAqAoFdmPVHlbQuLCw0PWn47qb6jxU01m1rRs1auRqOQdB8eqgRgWXL43YBT25zUXdRj7n7HHq6Xk26vZ8u+S8EvvyC38gUIdwRQYAVJluciuim+DqvPkEAKA2S+bae9ppp/l91UNPQCkgLvpBurqv+w/9trRRwT339AcAdRD5nLPP1f3z7fiT8uyKnsUu/QlQlxB4BoA67tNPP/H7MuP55593tZ6CfM8AACBz1NjvwoULXaqrDh06+EOrhxoPFOWFVgqQ6uQaFZxVYlf1I51ANlD6tXbt2lleXp7r1K/GJtNNP3YotUv4sxLR92PKlCkuRVyu2r59m3377Tf+u13I55zd7n4g377xdtv422hsEHULZyIAqGPU+NCrr75sXbue7hW697QjjuhkP/vZEXbdddfYRx995I+VHrrp0OO2zz77bMYbEwIAoK5TUK1Lly4uL3O8FFiZogCgAt5y8803uzKAgs/hwKOGZUrRMxE77Id5dmRrAs81TYHgXr162ZtvvukPMdevxibTdQyocU0d6506dbJFixbZNddc4xqxVDk3FrUzouU6/PDDbfjw4a7h61zy8ccb7JZbhlrLlgfYQQe1sp/85Cjr3v0Me/rpeVZSEiGfcw5QzfNH5hbYM/Mi9vgjBJ9RdxB4BoA6RIXxP/3pBTv77AH2wgsXeoXudbZly6te4f1Re/DB47wbgkJ7+eWX4hbakxXUPtFNh2qUbNiwwf8PAABINwXVFNBTDWcF+HTtre4GffWEU+COO+6wt99+26677jorKipygXAtl8oFKh9kwu9/R23nbDBjxgxbvny52+8qT27atMnmzJnjnn4THQNVPTZ1rHfu3Nn90DF9+nRbu3at9e/fP2EjlsuWLXPtjpx11ln+kNzxn//82666qr/3vdribbvn7Msv/24ffFDkbePrvfV+zAYNmGSntP+OfM45oElTs9nz8l3NdOWjB+oCAs8AUEd8//339txzRXbBBcPsq68m2Y4dV3lDD/a6g7wbg7b27bdXeDeJD3s3icNs0aLn3fiVoccXVftENZ1l3bp1Gb3RBACgrlNqC11rdc0VXYPbtm1ra9asce+rg2qdigKMS5cutfHjx7tAYNeuXV2gUKk/RMuW7prPH74foVHBLKAa93/84x9do5La76I836r5Hq6BryBwZenY0bEuK1eudAHnZGgZdDxefvnl/pDcsGHDR976XmUvvHCMFReP9oa087qmXvcTKynpZp//90F74qHrrMVPZtuYcZ+RzzkH6KmMB2YVuHzPahAVqO24MgNAHbFly2deYX2BffHFld677l4XbnlHl4O9va69d5N6qi1e/JZ9/fWX7j+pGjZsmKvhoscdg5tM0Y2mgtIAACC9dN1V0Fk1SxWEFqUSuOCCC2zz5s3ufaYFaRXat28fs1HBsWPH+n1mo0crgJY+D/024vLZ0qhgzZs9e3bM/R/O+b3ffvv5falRjugg6FzZNG6V/eya8n//96StWnWU13eF1zU31enfM7/Eds8r8V7zba/8BvZF8dv2n8+X2bvvrtIkyAFduuXZVdfmW58exfblF/5AoJYi8AwAdYQaInn55eVe3/lel+j0381ee+1N+/LLygWeA6pVototqo0SPF45adIk9woAANKrRYsWLrintAPBD79bt261Z555xvXXNAUjlXJDgprZ6aAG1ZQv9bKrSLNR07SPYwWdw1QmrEyjl6pNfemll7p+Hd+J0mrUJq+++qJt2/Yzr6+F7ZFXYvULdnil+IgVeId7Pe91e3E9K44cav/6V2NbvXpF6UTICTePyrcfH2F24+BifwhQOxF4BoA64uuvv7aNG5VT74elA+I6yv7+97UxW8uuDNVGGTFihOvPtYZcAADIRapdHPzoq+Bztjj22GP9vvRRo4KH/yTPfnwEgedsptrKokoJFQWnY5k1a9bOcuTQoUPda13wj3/8w/J2tLH6BXlWLy9iX5YU2Fde901Jvn3hvZZmCT7INm3awz74oHrzuqPq7p1RYP981+yO8TQ2iNqLwDMA1BF77rmn/eAHCjp/Ujogrn/a4Yc3tz322MN/X3UXXnih3wcAADJNgb1waoPqUFhY6PdVr4dmqlFBbmuz2apVq1xtZTUEWJnjUrWdg6fmVGt+48aNru0QNaKZl5dnrVq1cuncNF5t8qeFEfvvB/Ntj/wD7esSc0Hn4kjpDyxlm6X7j7ctvreDDz7Mf49cofRATzxTYA9OK7EFRTQ2iNqJKzQA1BH77FPfTjxROeLmlA6Ia7Y33jG29977+O+rTo//SpB3EgAAZFbz5s3d66GHHupeM+24445zrwsXLqwwAKiGD9Phn+9G7O1VEet2LrWds5ECzgoId+7c2b1X7fvKBIfVWGVQ21mNWD7++ON2zjnnuDzPI0eOdKlbhg8fbl26dKkVwWcd0+ecXmxD+hdb57Pesfx9b7cdkf/4/w0LApVrrFmzf9lRR6X/iQJk3gEHlgaff+Ht73fWEHxG7UPgGQDqiIYNG9mFFxZao0bPeu9eLh1Yzn3WoMES69nzXKtfv4E/rOpee+019zpu3Dj3CgAAMuull15ywecePXr4Q8pKd4Cub9++fp/ZCy+84PeV9f7777vXm266yb1W1e8filjvK2hUMBup7NemTRsXEFbQWF1lg8Ovv/6631faqKDSdXTt2tXleR4/frxrVFPUwOWYMWNcfy5avzZi/a8odkHn08/KsxXv1rMRY1raccd96P339173rRtvF/3gogYFf2OnnPIDO+mk0gA/cs/PjsuzX08usJ7nFttnm/yBQC1B4BkA6og999zLzj77TK9A/nNr3FiPK97odc973Udep7x7Q61Ro6leYX6YtW/f1vLzk79EBDVaggBzmG4ubrjhBvcIbnU/9gsAQG01Y8YM18UK4j3xxBOu5vG9997rDylr1KhR1rRpU2vXrp0/pOr0dJNSKcjo0aPLLdf69evdcqm2czrKA998Q6OC2UxB4Ugk4hqZnjx58s6c4woO9+nTx/Un66233vL7SucbTcdTUIt+2rRp7ljLJVu3mN1yU4l1Pr7YGjfNs7+trWc3DC/9QeV//uco7/vaz045ZaU35lVeN9Pr3vW6v3qdvt+/sCuuaGpDhw6x3XdPX5o8VL+effK8Lt+u6FnsGk0FagsCzwBQhzRp0tSuvvpqu/32M+3mm/f0Cu+L7IADJlinTi94w7fZAw+Mst69L7P8/AJ/iuSoBou6Tp06uZosurFUEFqvarlcKTZmz57tjw0AAKpC19gBAwa47vDDD3eBZA1Tp9y36oqKitw1OJYJEya4VwUBY/1oHFAAb+ZMBbpKU2gkGlf69+9vAwcOdKkPVB4IAoCaTrl5VR5YsGCBG1ZValTw6GNoVDDbqZHpYcOG2XvvvbczOKxjSZUW0umaa67x+8zlgM4F+vHknskl9tNWO2zzpogt/kuBTbwr3xo09EfwnXZaV28b9rSxYw+3Cy/8pzVv/r925JEP2fnnv+N9l0+zW28dY4cd9iMX6EduG3V7vu27r9mNg2lsELUHgWcAqGMaeKXZfv2u9wqqt9mUKd3t7rt/ZnfccZ5NnPhr69XrMn+s1KgmS9CokG4mevXq5Wo5v/rqq/bwww+7AHRlWjAHAADlqdanctsqkKsUBgokd+/e3aW0UqBPQT6lIohH123RtTtWDVJRo22av4LIAf3ArOGJAtBKg6Cgt2h6ja8ywUUXXeSCzukqD9CoYG7Rfr/nnnv8d2bbt2/3+9KjdevWfl9uUG39Y4/YYS8uithzLxbYjEcKrEWr+D+inHXWOTZ69K+87+41dtddx9udd57sleN/aSNGjLYWLVq5oLO+a8h9s2YX2PK/ROx3Mwg+o3bgSg0AddDuu+9u9ertYSec0Nl69+5nHTqcYvvvf6D/39TpJlc3kyr0Bt3y5cvdzWe8G1oAAFB5ym27du3andfdzZs3u2uxah1XFNxVDVRNk6j2cTDfWF1F13YFvVUOCMZXvz4zXUFnNSr43j9oVDDX6LjRjxGpOu200/y+3PfyixHrdFyxTbsvYvfNKHBBZ9Xcr0i9evW8v3nWosURdsEFl3nfsQutVasjLC+vNKRD0Ln22Gdfs7nP5NudE0vc8QLkOgLPAAAAAICcETQq6GJxyCmtWrVyr82aNXOvyTjqqKP8PrP589UuSWJHHnmk35c93l4VsfMKi21Q32IbOCTPFi8tsDMKCRYjtsOa59nMRwpcY5NqdBLIZQSeAQAAAAA5QXlxH51VYlddS9Au16jByWXLlrk84GqMMpZYjWWqBn1QU/q5555zr9E2bNjgXjXvbErv9uH7ERvUt8TOOb3YTjktz1a8W48fTZCUjqfkuZzPl5xXYl9+4Q8EchCBZwAAAABATvjD3BJr1yHP1QhEdlHQeMqUKa5tj1jGjBnjXseOHeteo7Vr186aNm3qGsuMNm/ePPc6bdq0mA0T3nXXXdaoUSMbOnSoP6Rmbd3ire/wEuvUttg1Fvi3tfXshuH5tuee/ghAEi7vm2+nnp5nffsU244d/kAgxxB4BgAAAADkhIdmRuyyq7mNzUazZs2y4cOHu0amlVJjxowZriFKpcfo0qWLy/W9ePHimDWSNd6bb77p+tVYZjS1JzJnzhzX37lz550NXK5fv94uueQS1wim5h2vJrUoMH7//ff778wFydNNNfL/964S+2mrHfafTyK2+C8FNvGufBd8Bipjgnf86LgafxuNDSI3ccUGAAAAAGS9d9ZE7MMPaFQwW/Xt29d69uzpah4rEDxgwAC78sor7dFHH3WvCjwrgByLGh4sLCx0/ZMnT3av0RRgXrlypZ111lnWqVMn16Ce+hs3buyC1vHmLQp8qzb13Llz/SHmguSaR7oC0I8/UmLtj9phC+dHXKOBMx4psBatOFZRNUrL8sjcAntmXsTmzibfM3IPgWcAAAAAQNZTbeer+pEfN1upJrPSbGzevNkikYjr1q5d64YpaFyRBQsWuGmGDRvmDylPwWXNLzz/qVOnJqzpLMG8Y3WJPi8ZL78YsU7HFdu0+yJ29wMFLuh89DEEnJE+qjH/xNP5NvKmYlu+lOAzcguBZwAAAABAVtOj5vPmltjlpNlAlnh7VcTOKyy2QX2LbeCQPFu8tMDOKCTgjMz48RF5rhb9FT2L7dNP/IFADuCqDQAAAADIakGjgs0O8QcANWTjBrNBfUtc0PmU0/Jsxbv1rPcV1MRH5umHjYHX59sl5xbbl1/4A4EsR+AZAAAAAJDVfjs1Ylf24/YVNWfb1jy7fVSJndBmh0t9oIDzDcPzbc89/RGAanD9Tfl25FF5duPgYn8IkN24cgMAgKylxoDU8E/Qej0AoO7561sR+/TTCGkMUCOU5uX3s/a2dq0LbOOGiC3+S4FNvCvfBZ+BmnDfjHxbv9bsjvEl/hAgexF4BgAAWUmtzC9cuNB/BwCoq37/u4jL7UwqA1S3ubMjdmKbYnvlpT3sD88Xuxy7LVrxAwhqls6Fj80rsId+W2ILimhsENmNwDMAAMg6q1atsuHDh/vvAAB1lfKY0qggqttrr0Ss03HFdv/dJXb3A/n24OzPrfXRBPiQPQ440GzuMwX2i/7F9s4ajk1kL67eAAAgq3z22WfWo0cPGzhwoD8EAFBXzZ1dYh1PoVFBVI+3V0Xswm7FNqhvsQ0ckmdL3iqwU0+nhjOy09HH5NmUewus57nF9tkmfyCQZQg8AwCArDJ48GA766yzrHfv3v4QAEBdpTQbV9GoIDJs4wazQX1L7LzCYjvltDxbtrqe9b6C4w7Z79weedb78ny7omex7djhDwSySM6fSTdt2mQff/yxffvtt/6QsrZt22YrVqyw//73v/4QAACQquLiYlu/fp299NKf7IknHre//nWF/5/0mjFjhq1bt87Gjh3rDwFQ26hcvnHjxrjl9y1btnjnmL+6cj7qNjUq+NlnNCqIzNm6xez2USV2Qpsd1qSp2Yp369n1N+Xbnnv6IwA5YMSt+e74vXFw2cYGN2z4yF5//TV7/PHH7LXXlvhDgeqV84Hne+65x+699177/PPP/SGlVq9ebZdffrm1b9/eevXqZaeddppdeeWV9q9//csfAwAAJGP9+rX285+fa0ccUei93mVXXTXfTj75euvY8Vj729/+5o9VdcrrfMstt9iDDz5oTZo08YcCqG3uvPNOu//++12AOWzlypV26aWX2vHHH2+XXHKJK79fe+219sEHH/hjoK5xtZ2vpdYp0k81Q6fdW2LHHrHDPv3EbMmbBTZ2cr41aOiPAOSYqbMK7K9vRux3M0rsu+++88rrV9iPf3yKnXXWrda37yLv9TavLN/CXnzxT1ZSUjZADWRSzl7FVfNq3LhxNmfOHO+iscMikV3J1BV0Hj9+vKvt/NBDD9mf//xn+81vfmOffPKJ/fKXv7SvvvrKHxMAACSycuVyu+CCvvb888fa99+v9q6hT9g330yzL774P1u69E7r3/+itASfldf5mmuusYkTJ9oxxxzjDwVQm6jMfvvtt9uTTz7p+sMUdJ4wYYJ3fvnGHn30UVd+v+OOO+z999+3oUOHuuGoW1QTVfmd053uQNcbVV468cQTLS8vz3X6oUM/flaV5j1o0CBr3Lixm2+7du3siSee8P+b2Pz58934mk7Taz7r16/3/4t0mjc3Yu2PKraF8yP29MICmzor3w5rTq165LZ99i1tbPCOCcXW8YQx9vvfF9jXX//VK7v/wbuGPuD1/9H+8Y9nbcCA6+yll14odx0GMiUnA89vvPGG9enTx/70pz/ZXnvt5YbpAh1Q4Hnt2rV21VVX2QknnOAu3KeeeqoNGzbM3nvvPe9L9pI/JgAAiOdvf/urDR/+G+9m/BTv3e1ep+dOG3hdfa9r7BVYO9mbb061gQOv8t5Xzd13320tW7a0/v37+0MA1Cavvfaay9v+8ssv254xnmFX4PnDDz905Xc9sajy++mnn2433nijvfvuu2461C0KOivFxgEH+gPSQIHhLl262JgxY8rUpJ87d6517ty5SsFnTXv44Yfb8uXLvWvjm65i1E033eQCyOoS0f+7devmfoDVdJp+8+bN1rZt27QExFHqtVci1rlDsf1mSond/UC+CzqrcTagtthz78/sJ8fcbf9YNcwixfd7Q1RuVzV+ld3Vf5StXTvXK7uPtM8/J50VqkdOBp5/97vf2e677+4e0zvllFNcDYigxrNef/zjH9vNN99sJ510khsmBQUF1qJFC/v+++/t3//+tz8UAADE8+GH79nrr2/1+nTDHOvGbDfbsaO9rVhR4PKxVpZqeemm/4EHHvCHAKhtZs2aZXvvvbfdddddrowersGs8nvr1q1dzWal2QjUq1fPmjdv7nJB68lF1C0PzYzYZVen93ZVjdfqR07VqFc7QWpTYPLkye5/St3Yo0cP158qBbQVuNY8dD3TfaeoJvWIESNs2rRpNmrUKDcs2pQpU9z/Bw4cuPPHV00fXBM1X2o+V807ayJ2ybnFNqhvsV07KM+WvFVgp55OwBm1z5dfbrely2fbNyXf2j4Fe8QsvZsdY2vX7mdvvPGWi48BmZZzgWel2Bg+fLh7FFe/ACsAHZ2f5qijjrLu3buXyQ+pAqtqSGv8Nm3a+EPjUwG4fn39KoRAfn6+61CWatuzXWLjmImN7RIf2ya2mtou//rXJ14Bdj+vL1F1s91tx46O9sorlauNqJtp5XSdN29eynmdg/Nv+KknmO222247f5AHsoHK78rfrlQaxx57rCuPRx+jSrFzzjnnuJrOga+//to9qagnHJNJwUP5vbxcva4uXxrxrj/pbVRQte51fCn1hY4nbRcFePVUrIK+okB0ZYK8qkGtoLPmEwSdA3379nWvOv6jay/rs3RvK/rhJUzXRM1P8x05cqQ/NLNq232NcjcP6lti55xebCednGfLVterdOqWXP0uZRrbJbaa2i4ffrjR9Dvtd5Fm9nVJvsUvDZ5ir7/+ln3zTfWnodV2UcVQ7BKrXFSb5Hkrl1Nrp8UN32AOGTLE/Upz66232kEHHeQPLU/pOXQxP/roo2369OkV3qSqMRMlZFfNDH2m+vXYX8+ePe3QQw+tc78M6eSgBmCUB+gHP/iBu4FAaeFMP3yoxsQhhxziD4XoYqLaSbpZ3G+//WjAwKdjRj+EqWbMwQcfzHYJ0Xlmw4YN7hxT2y++qdB2UZsFqh14wAEHVMv5V5+5Y8d3Nm3agzZp0kfekEdK/xHT9974D3vXxxdt8uQ73LSp7DsFnfXYs16j6XHlCy64wPX/4Q9/cLkvA/ou6XN0zOj8G7yvSxRg1o/qCtpv3brVbXude//xj3+4p8IqW3MPSDd9N8NlbwXTVJt59OjR7rwWj9JrKGCtyib/+7//6w+NT7WllcYjuIaovK7a1RdffLH7nLqWz1Lng08//dRtk1wri40a2sAO//EOu7Lfl/6QqlMql8MOO8ydK7/88kt3bW3WrJm7roavN2q3oFGjRq4/GQoM//SnP3X9jzzyiLuPjKZr3CuvvGKXXXaZC0AHVNtZx7amLyoq8ofuEl6u119/3S1/pkRfV3PZ9m359vBv97bHH9nbelzytfW/7kurv1/lj38dMxs3brSGDRu6e5u6Vt6IR9tFMQKda/fff39iBD59l3S90b2wYkfVce7VZ5aUFNuSJUpLO8UbsqL0H3E9ZWec8aTdccdw7/p4ULXtOx0zH330kbsm18WKEiqfLF682LV1oWtHUHZXSuBf//rXLqVwbZRzgedoyQSe9eu2GjJp0KCBa0hCX/6KqJCqR7F+9KMfuZOGThb6hVwX4bp4sdEXQnnGtC10USFYtouOBRVkf/jDH/pDIDpmlNZGP97ou8cxU0qFAgUQ//vf/7qbB7bLLjpmlG9RBZE99tiDQr1P20WFeh03Bx54YLUdM3vttad3Az3TrrxykfduXunAmIqtXr1bvMJSQ/vFL35ZJrhUEf0ofMYZZ/jvkqPxn332Wf+duWNG36VUPre20LGhoJJ+/AwCavvuu6+reaeCa69evdwwINskE3hWTWc1Fq5yp35I0Y+1FVFtah3/QVlVXdOmTV35vS5eV3SOCCoB5FJZbNvWPGvXusD+vKrYGjdJ/z7T9eKLL75wgeegEkBwPYq+xiRDaWSuv/5617906VJX0Sma2jHQ8a7ApQKYAQW+dY2/8MILXaOasagsLQpQB7WnMyXX72t0KXxoRr795o58O/Nss5tG7LBD07Aq+i4pIK8fJIKKaSjdLgqeqZKezuW5co7JNJ1jFKPSvbDKqNV1vCiA+c47q61Dh0vt22/1dMVupf+Iabx33vrKRo4c7B3XTapt32nb6Byj2F1dDDzrO6M4gM4n+t5oe6jsrqDzz3/+c7v66qv9MWsZb0fnNO8iHxkwYEDEu4D7Q3bxbsIi8+bNi5x++ukR7wYs8o9//MP/T8XatWsXWb9+vf8O4hWKIt6XxH+HsPfff9/vQ5h3sxPZvn27/w6Bb7/9NvLRRx/57xDmFUQi3kXYf4eAd3Mc+fTTT/131aeoaF5k3307eSXCN7xOJcMS/zXc/c3r6rvve6qWLFniTeueAky6Kyws9Kcuxfm3PK/QGvn973/vvwOyj8ru1113XczzhnezHnniiScinTt3jlxxxRWRtWvX+v+p2NFHH01ZNYquHbqG5JIZ9xdHru69w3+XGV9++WWZ+8eRI0dGGjVqFFm5cqU/JHk9e/bceY2KZ/LkyTvH0bVP9FnBMP0/nmCc6OtfpuTqdfWpJ0oiP/vJjsi5Z+2I/G1liT80fT7++OPI119/7b9DgBhBbIpFffDBB/676vPRR+9HmjVr7Z0z/uB10WX20i4v77/ea5PIG2/82Z+qeul+T9sHuwwaNCgyc+ZM/13tU2uT8ejxqd/+9rd277332pFHHulqTKjRwWTplwc9Do9dvOPFdSiL7RIf2yY2tkt8bJvYamq7/OxnHWzw4M621173ee9WuGtjWSu9rrf9+te/jFtrMZGOHTvuXLdYnXdz7o9prl/DFixY4A/ZtV3UYRcedUWu2r59u0uJN3XqVNcmy9ixY11DcMmi/F5eLp4j1ajgVf0ye5sa3i7K+azG/VTTOZlc4tFUY7kiJ554ot9nrqab6HhPRmFhoXtdu3ate82kXDxeXnslYp07FNtvppTY3Q/k29MLC+zoY9L/FFQubpvqwHaJraa2S+PGTW3UqOvtBz/4rfduV5l5l0+85TrH+ve/yH7606P8YdVL24Xa8WXV9rJ7rQw8f/XVV641YeVNOfPMM+1Xv/oVaRAAAEjRQQcdbNddd5UNG3aUHXjgFK+geIM3VPmen/C6K6x+/ZF2662FduONpQ0jAUBlqdLI448/bk8//bSdffbZLmVGMunxULsoiKj7746nZD590rJly2zQoEEuLZFSKgYB4VQtXLjQvSoXeTL0mLkovUdAjeNXRA0fYpd/vhuxPj2KbVDfYrt2UJ4teavATj297qXdAsL23nsfu+yyXvbrX3ezI45QmX2A183wuqf9/qusf//WXvl9tO2zz77eeyDzamXgWRfxhx9+2OV30y/EahFbybrV6YK9adMmf0wAAJDIIYc0t+uvv9amTTvfbrppHzv33NV29tnLbeLEH9vvftfLhg79lVdw3ccfGwAq59VXX7XHHnvM5bxVxREFosPldzXKi9rvoZkldtlVmQ8eqt2f888/39V0Fh1jCkArEF1ZTZo08ftSp8YfkZxPPzEb0r/Ezj612I4/Mc+Wra5nva+otQ9yAymrX38/u/zyq+z++y+zMWMOtIsuWmennfaK3XprM3v44e72619P8K61FbebAKRLzp+hVbtZXfAYg5Lbq5XIv/71r+7X5N/85jf2i1/8wrWIPXz4cFd74vnnn3fjAgCAijVpsr+dd15PGzt2hE2ceKlNntzLRowYZRdeeJlXuKW2BIDUBOX34FFbNWCtxgRXrVpl69evdw2xhcvvt912my1apIZOUZt9tsnsTwsj1RJEvOGGG1zDrErjpMYuAwpET5kyxX+HbLJ1i9mkX5dY+6N2WIOGZiverWfX35Rve+7pjwBgJzWCefrpXb3r5yibMOEq77x2od166y12xRUDbf/9U0+PB1RFzgeeL7jgArvooot2/kqsViI7derk0mv06NHDfvrTn1qHDh2sffv27lWPQKllUQAAkJq99trXjjzyGDv66OQeJwaAWFR2Vzm9fv367r3K7507d3YBZpXtY5XfSbtR+z3+SIl16ZZnTZr6A6qB2hpQTvGVK1dao0aN3LBJkya512QFKTYS5WBes2aN37crrUY4vUaiNB9KCSLJpvKobXbsMJv5QGnA+cMPzJa8WWBjJ+e74DOAxAoKdrNWrY604447yfUDNSHnA89du3a1c845x/bdd19X67lBgwbWpUsXu+mmm+zGG290tSSGDRvmOvVr2CmnnOJPDQAAslW48UH1A6gdVHZXGT4ovzds2NC9j1d+/+Uvf8k5oA74/UMRu2ZQzdyeqlHBESNGuH49QZuKoAHMRDmYt27d6veZHXxw6SPuwasEeZ9jCZYnlYY2a4tn5kWs/VHFNv/ZiD1VVGBTZ+XbYc3J4wwAuSTnA89h5VvbBwAAAJCtKL9D1KhgQYFZuw41dzxceOGFfl9qVFs/EC8XeRB4Vq1qBblFr0Et63BgOiw8v/Dn1HY6Hs48qdjunFBidz+Qb08vLLCjj+FcAQC5qFYFngEAAAAAuUWNCl7Vr2YDiy1atHCvqdYsVmOYgaVLl/p9Zb311lvu9ZJLLnGvgeB9vBzm77zzjt9X9nNqq3++G7E+PYptUN9idzwseavATj2dgDMA5DICzwAAAACAGvHpJ2YLiiLWs0/N3pq+9tpr7nXcuHHuNZZYNZoVsA4aKHzuuefca5imWbhwoesfOnSoew0E7998803XsGa0oFF8zT8IjNdGOgaG9C+xs08ttuNPzLNlq+tVSyOTAIDM42wOAAAAAKgRalTw3B6Zbyxu1apVNmXKlJ0B5jAFh2+44QYrLCwsVytZFBRu3LixNW3a1ObPn+8P3WXs2LEubcYTTzxRLjg9a9Ys9zpy5MhywWO9nzx5sut/6qmn3GtA85k2bZqbb3TAurb48guzSb8usRPb7HD7f8W79ez6m/Jtzz39EQAAOY/AMwAAAAAkSQFBBTBbtWrlclSra9eunc2YMcMfo3LSPV8FWA888EC74IIL/CHZ6aHfVk+aDTVUqa5Tp0523nnn2TPPPOO2kYLFHTp0cCk2Zs+e7Y9dloLCQSN/9913n3sNa9KkiS1evNj1q6H7oPay9p0+UzWWx48f74ZFUyOa+r/GC/a1ptd8RPOtbbWdd+ww+92MEjv2iB324QfeOv6lwMZOzvyPDwCA6kfgGQAAAACSoOCwAoIKEq5bt84fWpoqYcCAAS5QHF3jNRnpnq/G7d69u/8ue/1pYcT22SevWhoVVM1i1WiWP/3pTzZo0CBXy/nVV1+1hx9+2AWgFUCORQ0PKjCt2sdDhgzxh5alxgK1vzSeOv1w8OCDD1pRUZFNnTrVHys2/X/69Ol2xx13uOnatm3r9vl77723szHC2qLomYi1P6rYnv1DxJ4qKrCps/LtsObkcQaA2orAMwAAAAAkoU+fPi4wrLQJS5YscZ0CmgpIigKPgwcPdv2pSPd8NW5QQzeb/f53JXbtoOoJOiqAu2DBAotEIvbFF1/Yxx9/bMuXL3dB344dO/pjxaYax2vXrrXNmzdb165d/aHlaTwFsPUZ6jT/ROOH9e/f332GptPnaLniBcJz0V9ej1iXU4pdao27H8i3pxcW2NHHEHAGgNqOwDMAAAAAVEA5glWTWLVQlTZBwUp1SpWgdAhBkHju3Llu3GSle75K16AgtmrNZjM1KPfyizXfqCAya/3aiPXpUWz9rii2y6/OsyVvFdippxNwBoC6gqs8EKI8b0FOvehOj+MBAACgblq4cKFLnRCrFqpq04bTKWzfvt3vq1g656vA9C233BJ3ftlEjQr26Jlv++zrD0Ctoh8WbhxcYmd2LLbjT8yzZavrWe8rCD8AQF3DmR8IGTdunN9XXm1tTRoAAAAVUw3kRPl227dv7/elJl3zVa3pHj16uEB1ovllAzUup0YFL7uamq+1zZdfmEuncWKbHe5HhRXv1rPrb8q3Pff0RwAA1CkEngGfajsvW7bM5dOL7tTYR21rTbq2UB69Sy65ZGcL8EEL4AAAANUpXFZs1qyZ31d1yc53zJgxLr2GykXZTo0KNmmSZz87jsBzbaEfE343o8SOPWKHffiB2eK/FNjYyfnWoKE/AgCgTiLwDPhU23nEiBGu1kl0p8Y+kF3mz5/vgs29evWyLVu2uP23cuVK12gMAABAdQvyLxcWFqa1wkIy89UP8YsWLbIHHnjAH5LdHp5JbefapOiZiJ3Yptie/UPEnioqsKmz8u2w5uxfAACBZ+SooKVodekQ1Hbu27evPwTpkq59FDZq1Cjr1q2ba/Fbrb4r2KzaPdn+WCkAAKi9lKtZRo8e7V7TpaL5rl+/3rVFMm/evKzN6xwuu3/8UcT+/DqNCmaj8H5KxvKlETvn9GKXWmPKvfn29MICO/oYAs4AgF242iOn7Nixw5Yu/YvddtsYu/XW0TZ48EB75pmn/f9WnmrLfv7559ahQwdXcFdtWlTetm3b7LHHHrWrr77SfvGL6+2JJ+bYp59+6v+3arR/JkyY4B4lVevvavUdAACgJim/8syZM23kyJFpLZskM9+ePXvaxIkTs/YH+K+//tqV12+//Ta76aYb7fLeC61T5000Kphl1q1b6+2jX9lll/X27o3G2ssvv+z/p7z1ayN2Rc9i69un2HpfnmdL3iqwU08n4AwAKI/AM3LGf//7Hxs27BY7/vj+XuF6D5s0aS+vIH60V9j+vZ100nEucFwZqu0c1CRZt26dTZs2zdWmVRoH/Q+pGTbsJvvRj462K698wduu/ez3v+9ol176jB1++AnePhubdA2KWFTTWfunUaNGrpZztrfWDgAA6oZZs2a58smNN97oD0mPiuarslHLli2zNi3cO++ssR49etv558+08ePr2f/+7w9t+Z872B+fUyq7y+z773f4Y6KmbNu21buXOsmOPPJsmzChnv35z7+yX/96hxUW/tpatPiRvfvuu/6YZp9+4pX1f1FiZ3Ystrbt82zZ6nrW+wpCCgCA+LhKICd88sm/vcLqOLvnnvXeu1W2Y8cwr7vZiov727ffzrClSy+wrl1PcakXUqXauWpAUHnzVHAPKAjdqVMnlzMPybnppiE2c+YCbz885u2bh62kpLv3eqXXzbHt2++zceMWet1I732JP0Xy9COAajqLWmsn6AwAALKBcjBPmjTJ5s6dm9bySUXzVdlI/8vWvM5///tq++Uvf2HPP6+a2s97ZffhZsWDLRLZz776ZqQ98sjuNmDAJQSfa9CmTf/17qF+bm+8sa+3H9a4fVRScob3Osq++67I/vWvy7z/d7c333zbpdM4ue0O22NPsxXv1rPrb8q3Pb1+AAASIfCMnPDKK0V2771ve33zSgfYHn5Xz+uaWrFXiH3rrd42aFDqtT26du3qGhBUDdq1a9e6Bur0yGJAjdeReqNir7662P7wh7dt69YZ3rtOXlfgddo/u3mdHr07x7788lpvO2+wpUtf9d6nRulQRD8O5EJr7QAAoPZTKowePXrY4sWL09qgYDLzVdlIFSWaNm1qeXl55brgib4XX3xx57DqfJrvvvt+ZYsWneL13VQ6wCu775GXb99FVC48wr79dpj98Y+H2vjxI0v/jWr15Zdf2GOPzbXXX9/be/es1+3udbq/Uhler3t53Rj7+P1h1v30Q23d2u/thdcKbOzkfGvQ0PsXAABJIPCMrPfJJx/ZSy994PWdUTogpga2Y8fptmbNX/33laf8eKrlPGfOHH+I2aWXXupuABDf668vts8/183FT0oHxHSKd4O0v/3976ntp3A6lJtvvtntHwWfg5uodu3aUTMdAABUK5UN+/Tp4xr1S2d+5UzNtzr9/e8r7e239/P6jisd4Ps2osBzcAvawrZuPdLWr1/jv0d12r59my1ZssrrU4UbBZrNds8rsT3zS1yVkd3yIla/IN97PdcOajHaxt/5uR3WnDzOAIDUEHhG1lu//j1bsUJB35NKB8SUZ5HIj+1f/2pmy5Yt84dVjQKbQfBZ+aOXLl3q+hHbq6++5BVg23p9jUoHxNTcPv10T1uzZqX/PjnPP/+832d2xx13eDcyb9t1111nRUVFrnb6m2++6Wqmq+FBAACATAuCw0rXlomgczLz1dN6ajsjXqc0cnL66afvHFZdjTIvXfqabdhwgNfXyr3Pt4gLaKprULDD7/Ksft7V9uzjz1jDejuqtTu4wR72P4ftH/N/daU74pD97cVnpnn74TK3P+p73Y5InhV4+2o/r3+vvGL7uiTfviz5ga1YOce+/vorty8BAEgFgWdkvT322MP22UfpGr4oHRBXge3YsckaNmzgv686BZ+DQvvq1avdK2LbZ599rKDga6+vuHRAOUGjgl4B9ssv/f7kLFq0yL2qcR39ADB+/Hh346Q0KarpPHDgQPd/NTxIzWcAAJBJyQSH9bRWrDKJpo2nKvPNNvvuu6/ttluJ7ZbnlePzi23fgmJXi1aBzK3F9ULdEmt5TKGt/8/ntmVHvWrrPt76rf39w//E/F9d6Vb8c701POQUbx+87/bFdq9TLed8r/s2kueV6PNsr3ztQ5Xht1lJSepttAAAQOAZWe/gg39oRxyhYLJyPEsQwIy2t3377TvWsmVpzYp0Of/88/0+JPLzn19gDRu+7vXFa+BRtxv/tqZNv7Wf/ax96aAkqUaztG/fPmbjOmPHjvX7zEaPHu33AQAApJeCw126dHHlw+3bt7tAcHQ3atQo6969u5155pn+VKU0XPmYlSIsWlXmm23++W7EFi8827Z8PMx2z9vHpdbYVlzggs7FLr+zBOX5HZafv8EaN/6B/x7VpWHDRl75vbPX91TpAI/2lQLQ35QU2Jdep322R95223/fNbZ6FYmdAQCpI/CMrKeCaPPmajL5aa9TigYVWGMFnwfZZZf1soICNYiRPq1bt3avhx12mHtFbGeccbb3V40GvmF5MdK/lQ4r8rbnVjv11NJa5OmiYHTQIKQa2QEAAEi3VatWueCwfhAfMGCAderUKWY3YcIEO+uss8r9WK7houkVSA5Udb7Z4JtvzObNjdg5pxfb2acWW/36Daxtp1vty5Kb7PvIp94Y0eV3vV9v++77oJ1//sWlg1Ct9tuvoXXurMogv/fK6dpH5e+wdkS+ty9KBtjZ3T+ykTc1sAu7Fdvbq+JVAgIAoDwCz8h6u+++hwsqDh58vPdOrWKvcA3K7fKJ1w2y00//yCuQTykdlEZr1qxxKR6yvXZJTTv44EPt4YfHe9vqIYtExntDlHZjl0hkjh1++Gs2ZMjZduSRP/WHps+xxx7r9wEAAKTX+vXrrXPnzjufwqrIeeed5/ftohQaojRuQa7ldMy3Jr2zJmK33FRirZvvsDmPlti1g/LtHxvq2eR79rQJk66wM8743BtLT6OpvB4uvy+zevVG2GWXNbHrr7/ZH4bqVK/ebnbqqR3t17/u55XT+3hD/q/0Hzt973U3W+/eB9q4yT+x5Wt2s1NOy7PzCottUN8S27ihdCwAABIh8Iyc8KMftbRhw35hI0d2smbNfu0Vjrp6Qy/1ujOtfv2B1qvXt3bffZPskEMOceOnix57VGN2I0aMyMraJdklz7p2Pdt+97tr7Oc//8B7f43X9fW6c72ui7VpU2Rjx3az7t2178I3HhUL8mwDAADUhBYtWtjmzZtdA33JdGonJNqwYcPc/9QoYCAd841Hn/PJJ5/YH/7wB39Ieqh28+OPlNiZJxW7IOSee5ot/kuBPVVUYOf2yLN69UrHO/bY9jZhwnC76qr9bK+9rvaGXOB1F3ldoVeeH2833fRjGzNmpFeW30+jowY0btzYbrjhahs/vosdffTj3pArvO4qrzvT8vMv9O6xSuz22we4eyzt5+tvyrcV79azJk3NTmizw24fVWJbt2hOdcOTTz7pUuWoEpQ69c+fP9//b/roiQg1mh7+rER0zzplyhS3PwEg2+R5BRielYmhQ4cO9sgjj9gRRxzhD8GWLVvs+++/tx/8oOZysH3++We2fPlrtnbte/bFFyV2wAF7WcOGTa1162OtVauf+GMlT7VM9Mhiq1atyjXkogv44MGD3QV86tSp/tDy9BX64IMPrHnz5v4Q/POfq+3ll1+3des+8PbRvrb//o29bfw/1qZNW6/Qurc/VvKU0zB4PHXTpk0xfwRQYWv48OHWtm1b7xhZ7g/NTt9++6395z//sUMPPdQfgsCHH35oBx54oO2+++7+EMi2bdvs66+/9r5PB/hDIMH594c//GGFN2V1yZVXXmlnnHGGXXqpfqAF6g6V4xQEOvjgg/0h+PTTT22vvfay/farenD3r29FbM6jEZs3t8TadcizK/vl2xmFuwLN8Xz44b9sxYo/27/+pSqy+da06d5e2fBgr1zY3ruuHeTO5dV9DldD11u3brVmzZr5Q+q27777xv7yF+USX+5tl232k58caPvuu5+1a9fJfvSj2O3nfPh+xCaNjVjRMyU2Yky+XdU/3wWna6srrrjCHn30Uf9dWXPmzEnpR6F4lHZH9zMLFy60li1b2s033+zSPgZPSETTveydd97pGhz9/HM9XVBaNqpO2RAjyEY7duywjz/+2JVRUZbu9w466CDbbbfd/CFQmq3jjjvOrr32Wn9I7ULgOQ4Cz+Vl30VFh27VCqm6uLdp08Z/Zy6lh1I2vP/+++4CPnDgQBs/Xmkj4gsCHwSey/v444+8G4sDvItK1YKIKlSp8CXxCnaqFTBt2rS0FfwyicBzfASeYyPwHFtw/iXwXBaBZ9RVBJ7Lq2rg+csvzObOLrHf/y7izStil1+d77pmaXrIUOfxmjh/E3iOrbj4e1cW09OmyVLO5zHDSuzDD8yG3pJnva+ofQ9Vz5gxw91n/OpXv3LpblRB6YUXXnD3H0HAV+3M6AmGytK9ZzC/6dOnW//+/f3/xKdpVBv9/vvvt7lz57ph1R3eIfAcG4Hn+Ag8l1fbA8+k2kAOq3ohVTcourAHQU1dsPUIlXI6K9deRUFnJLbbbnvYN99867+rPBXitJ9k9OjRrrAXpsC0Cl6q7ZztQWcAAIBst3xpxG4cXGL/03yHvfJSxEb9Ot/+/n49G3Fr+oLOwo+G2aWgYDfXpeLoY/Ls6YUFdvcD+Tbtvoh1Oq7YXn6x9tRt033HH//4R3vsscd2pv/T05e65wg/Fbts2TK/L3W6j+nVq5frX7lyZVJBZ9EyqDb05Zdf7g8BgOxD4Bl1ni7sa9eudb8Oq1OaBgWcq/KLNUqVlJT4fVWn/aQa6KpNoJbfFWwW5UBTTXX9eBDOmQgAAIDkKVfvzAdK7IRjiq3/FSV26GFmy1bXs0fmFriUGqj9dC9U2fL7qafn2ZK3CmzgkDz3o4Xyf6s2dG0we/ZsVzEpWrjCS2WfKtBTGkHQ+dlnny2T+jFZ6UilAwCZQuAZQM5QrYKioiLXr0CzasnccMMNdtFFF7mgMw1AAgAApOYvr0dsUN8S+2mrHbb0jYjdcZ8akCuwG4bn2wEH+iMBSVKqjTdWFlhh1zw75/Rid2wpH3Su0v1FRfcYCkorVWeqVJs6SIulCjbxcjkDQC4j8Awgp3Tt2tXVSg/XUFcr8QSdAQAAkvPZJrP/vavE2h9VbEP6l9iR/2O24t16Nmt2gXU8hdrNqBo1MjjwF/n2t7X13I8XndoW25jhJa5WfW2i2sqiyjGVuReZNWvWzhzRQ4cOda8AUNsQeAYAAACAOuC1VyLWt0+xHXvEDnvn72YPzMq3ZasL7Pqb8q1JU38kIE0aNDS7bXy+/XllPfdjh447/eDxzTf+CDlMjdSrtrLaoalMGzOq7Txp0iTXr7SBGzdudI0LNm7c2D3V2apVK5syZUq5tm0AINcQeAYAAACAWuo/n+bZPZNLU2nccmOJdTgxz9VEnTor39p1oHYzMk8NUup4UyOEaqyy/VE77PFH0tcWTHVSwFkB4c6dO7v3W7durVRweOnSpTtrOy9atMgef/xxO+ecc1ye55EjR7p2bYYPH+7atiH4DCCXEXgGAAAAgFrmTwsjNqTfvnba8XvaRx+aayRQjb/1G5zvaqIC1e3oY/LsqaICmzqrwKbdF7FOxxXbyy/mTv7nN954w9q0aeMCwgoaq6tscPj111/3+0obFVS6DqUUVJ5nNXQ/Z84c978333zTxowZ4/oBIBcReAYAAACAWmDjBrNJvy6x/2m+w8bfWmIndPzelq3+xu5+IN9+dhy1m5EdlEdcP4Jcd2O+3Ti4xM4rLLa3V2V/APrEE090bcysXLnSJk+e7BoVFAWH+/Tp4/qT9dZbb/l93vaI0aig0ne0bdvW9U+bNs3Wr1/v+gEg1xB4BgAAAIActWOH2YKiiF1ybrF1arvDNn9mNq+owBYvLbBel39re++TOzVKUbf07JPncowXds1zwef+VxTb+rXZf7wec8wxrnHz9957b2dweOHChS4NRzpdc801fp+5HNAAkIsIPNchanVXDRUk06X7ogkAAAAgfT58P2K3jyrN3fybKSXW/YI8W/N+PZtyb74d2ZrazcgN9eqZDfxFvq14t54d1jzPOh9fbLfcVGJbt/gjZLEmTZrYPffc478z2759u9+XHq1bt/b7ACB3EXiuQ5577jm/L7GWLVu6X3EBAAAAZA/Vbn5mXsQu7FbsAnR6//SCAlvwSoH1viLf9tzTHxHIMco7Pur2fFu2up4LOh97xA7XKOY33/gjZCmlydD9c6pOO+00vw8AajcCz3WEGjtQbqiePXtaUVGRLVmypFwXNGCgcQAAAABkh3++G7Exw0usdfMd9tupJdbr8nxXu3ns5Hz78RHUbkbtccCBZlNn5dtzLxbY0jciLgD9+CMl7keWbNWqVSv32qxZM/eajKOOOsrvK30yuSJHHnmk3wcAuYXAcx3xwgsv2PTp0+2JJ57Y2VpudLd161Y37sUXX+xeAQAAANQM1fScNzdi55xebD8/o9ilJHjhtQIXkOvRM4/azajVlC7miWcKbOYjBfbbqRHr3KHY/rQw+/I/q4LXsmXLbODAgfb/2bsTOJvKNw7gv3vvYOxrWcs2SiWUnZGQJSNk1NiyRIYhQmYsSbITIsaWSllmYgoZGZKyZWdC/MVYE7Lvy9x7/+d577nMcMfMMMtdft/P53XPee+5d2aOs7znOe953hIlSui18cky95NrcntP6YSeTD5x4oR6le+WtB5ERK7I5QPPMqqslIexWCz6lOc6duwYAgMD9TnHvvzyS6bZICIiIqJUxfb7w+3ba1U5bsv5xGLBtxa8F2Tr3TxkhFHlwCXyJL61DGqgzA+CjQjuZVE3YnZHp10AWoLGY8eOxZIlS/Sa+AYPHqxehw0bpl7vV6lSJeTLlw+DBg3Sa+6JiIhQr/JksqMxlsaPH4/cuXPjww8/1GuIiFyPywee//33Xxw5cgQ3HSR/kgbrmTNnsHXrVly8eDHRBq4zkd9Vfv/Y2FjcuXNHvcr8o/4NMuruw8TExGDbtm3o16+fXkNERERElPJOnjyJo0ePJth+P3XqlGqXytN4rtl+v6Pa72azrf2eFLIqJJ1AvRpm+PuZkTMnsGaTFxZFmtDU36B6OxN5Munlv2WPSQ2iKTnOA9ubEXMw9Y8Ps2fPRkhICLp3767SY8yYMQPr169X6TEaNmyoYg1r1qxx2CNZlpNjmRg5cqR6jUs6fNnTXdauXVstL+TavGXLljh06JD67oR6UgsJjE+ZMkWfgwqSExE5E5cOPEsw9rPPPsOkSZNw4cIFvdZGevj27dsXVatWRdu2bVGrVi11N1I+4wqioqLU3yW5nHLlyoXXX38dw4cPx759+/QlUtaiRYvUa7169dQrEREREVFKk7b46NGjVaBEOobEdfjwYfTq1QvVqlVDmzZtVPv9008/hdls1pdwbj/88AMmTJiAQoUKI3/+/GjW7E0VBDp+/Li+xIN2breqXpySuzlyqRV9Bxrx50Ev9P/YiEJF9IWISJEbMF262wYgLF7SoAbYlKcDZDDC1NKpUyc1BlLOnDlVQLhr167o0KEDvv32W/UqgeeEnhiWdJYNGjRQ02PGjFGv95MA865du1C/fn3UrFkTBoNBTefJk0cFrR/2NLIEvqU3dXh4uF4DFSSX72AAmoichcsGnq9fv46PP/5YBUxNJpNea/Pff/9h5syZ2Llzp7qD+Ndff6lHX3755ReMGjVKX8p5jR07Cu3a9UCfPltx8OBy7W/9F6tX98eQIZI7qhe2bNmkL5lyZH1VrFjxoXdTiYiIiIgelbTf5XFzeWRd2u8SHLE7ffq0etx8//79WLhwoWq/S6eRn3/+WXU0cXYDBoSgQ4e+CA7+W7sW2Y0LF/6HyMhuWv0y9OzZGwcO7NeXBK5dBb6aYVE5a9sHmFGwELBxlxfmRZjQ0I+9m4kSkzMX1M0ZCUDL/iQDEI4bYVFPDqQ06cks4yTt3btXHcPkyYaDBw+qOgkaJ2bFihXqMw97AlmCy/J9spz9+0NDQxO9Nrd/t6OS2BPPRERpxSUDz7/++qu667hp0yaV80gOrHEbrrt371bvvfnmm6hSpQoyZMiAV199Fa1atVKJ+8+fP68v6XxGjx6OceN+0Bqs8sjNfK3ICLk5tL+xrvYahrVrn8OHH4Zg40bbYzgpQfJJyWM8nTt31muIiIiIiFLO6tWr8dZbb6kefNJzUNrvce3YsUOV5s2bq84Q0n6vW7eumpf2u30QbGfUv38wpkxZg6tXf9P+rlCtJr9WntCmG2mvy7B4sRX9+vXH92GH0Ke7BWV9YvH7r1YM+tTWu7l3iBH5C8g3EVFyyH4zeYYRP/9mwq4dVpUXXVLWuMhDzkREHsElA8/fffcdChYsiOnTp6uA8o0bN+I1XiUvnORVkzQbdjly5MBrr72Gy5cvq8dhnNWCBdNw9qw8FlPJVoG4A4hk08pwbNpUDhs2/GyrSgHff/+9emWaDSIiIiJKDXPmzMFTTz2l8qPK4+T353eWcVukPS8DcdlJurk6deqolHr2PKnO6JtvpuDq1bnaVDGtxH8S04BcyGj4BmsiJ2JISG4ULwHVS3NOuAmvNeBAgUQp4ZnSBvXEwOx5Jnw904qaFcxYEek6+eGJiNyZywWeJceb5IUbN24cnnnmGVUXN+gsgeW///4b2bJleyDBf9asWVXPaHl0LzHynVmyZNHn0sZvv63CmTO+2pQ0WhOSA3fuPK81vs/j3LnTet3jkZxQSUmzIesubs9ysuF6SZjRaOS6cYDrJWFcN47JOpF1Q/HJerEXusfLyyte24govUn7XfKNSvHxkaf54rffJdezPFqePXt2h+13WTYp45ykR/t92bIluHpVejZLL+d7TAYrMhstyG6KhZchC25YfkGjFpPRoctl5M2nL5QGeP5wTNYJ18uDXP2c6lvLgFUbTCoNx8C+FjSua1Z51FMC9yXHZJ2wHfYgbi8J47p5kLTd3ZlBa6C51JWJ/LpxD2w9e/ZUvZsl37P0gpY0GuPHj1fpNr744gsULVpUXxI4cuQIGjdujNatW2PgwIF6rWPyaN/Zs2eRKVMmNX/r1i3UqFED77zzDooVK6Z+ZkrKmDEjZs+einHjbuLSpb5azcOet1uCatWWYciQN1CuXGXcvn1br08+acTLoASyrpo0aaLXPkgODHJRIH/3E088keQRuj2BbJP//PMPihThCDBxyTYj+RozZ86snjjgNmMjxy85nsgI1IULF+Z6iUO2mRMnTqhjjBwTXez0lGpkvcgj5rLdPPnkk9xm7iPbjOxLnnjRI6kIJP/t/PnzVY9Qe85cOSdNnjxZpSggcgb3t9+7deumLrI++ugjNQiftLll4C0ZuOvzzz9XPaPtJOezpOho3749PvzwQ73WMXnaUdrF9gs4mZanI6X9LtcJKT3IuByfp0z5XPudM2nH6AFajTydaJPBoP3NsOKO1aj9K2Zo1yG7ERzcHD4+z6X4tYQj8vudOXMG3t7ebIvFIdvitWvXcOXKFbVdcL3c407XNbK7/xCeBdMnZ0elqrfRvfdlPF3s0QYqlX3p5MmT6ikMubZhG9VG1gtjBA+SY4ysE7kWln2J28s9sm6k7S7nfmnHetq6kWvcqKgozJs3T8UD7G13Ob5IO0hile7I5QLP93tY4FlGy3766af1JW2B5zfeeEPlek4s8CyjaX/yySeqV7V8v6wm6XEhOaVTIyAiDeSNG9ciIOBzbaOTAVRsvUEcm6T9Dbsxdepo5MyZ57Ea0bLeZAOXDf3+HiZxyUlFLmplXchBwlVGF09tcpCQE+yxY8fi3eQgqIOobFfS80hyObIhYiPbjAQQ5UJQjk9cL/fIcUb2JQmuyk0/T2uIJMTeqJfH0uU8x+OvjexLso0cPXpUHX/t855E/mYJnMj52b5dSHCpe/fu8Pf3d9vGK7k+R4FneaJR2uoSeI4b9LIHntu1a4d+/frptY699NJLqjOF/VgpxwR5ClLa76lxgSvH59WrV6FFi1BcvTpHq8lje8Oh3ggJyYFBg3prbaPsaXIsl7aYpDCRQBnbYvfI/9vVq1fVTV3Z1nhetXHX6xoZfDB0kgEzpxoQ0NaK3sHWZD91IPvS8ePHkSdPHnVtw33JhjECx2RfknUix1/Zl7i93CPbjLTd5TztiYHnhNruffr0UZ1fO3XqpOrcjdsFnuU/cMKECdi1a5fq7VO8eHF9SVvg2c/PD23btsWAAdIrIWEyKKHchbA/DpgWzp49jbJl62oHqKXanKS9kP+a+D24tO1U2zm7ITDwMqZPn6fXPjr5+yTNhoyim5i4dzPpHtmFGHh2TO7ySuNMHp2le6QHlgSe2Uv+QdKoL1CggGqI0D2SRkoCzxKUp/jsgWe6591331V5caW9Q+SM7g88S8cR6Qgh6fImTpwYb5+WwHOLFi3QsWNH9O0rTwUmrFy5cli5cqX6zrRy7NhRlCpVWzu3Syo/b1vlfWzt97raNUpt9O79kV6bNtgWc+z69esq8CzXjxSfu55XT58CxgyzYEmEBV3fN+L9vkZ4O95lHZKe4NJRS54goHtkP5JrG8YI4pPOgdIJK25HSLKR2EmhQoXuPp1EQFBQkLp5/t577+k17sXtEqtIjwbZuWXAQelVGJcECOWuQmK5jO1S+nG8xOTLlx8dOjRBhgzvanPHteIo6PwdnnvuHPz9W+q1jy46OhqHDh1Cs2bN9Bp6VJ52py6puF4ck/XCdeMY103CuF4eZN9euG7iY88acjXSi1Buxkr7/f4UcrI9yz4etzPJw6R1+/2pp57Gu+9KjufGWol/7SFs7fcJqF49P2rVek2vTVs8Rj6I5w7H3Hm95C8ATJhqxKr1JuzaYUU5n1jMn2NRKTmSitvMg7hOEsZ1kzCum/jcve3ulhm97Y/XxR1EUOalF7Q8JiM9fJ1VcHA/fPBBeWTM2EWb+0Yre7RyVSvbtJ2zC557bglGj34Hdeq8rtU9HhlVXNSrV0+9EhERERGlB+n9JEFn6eFsJ+136Sghae5efvllvda5yGOzQ4cORpcu0kPUXyuLtCLXIDe08rvWfm+N6tV3YOTIrihfvpJWR0TpqYSPAfMiTJgTbsK3X1lRs4IZkUsYBCMiSi1uGXh+9tlnVa8IGWxHHm8Qe/bswVdffYUKFSqgZMmSqs4Z5cqVG/37f4SPP66O2rXX4ZlnxsDbOwBlynyBkJDimDWrF15/vT5Mpsd/LEHSawQEBDw0tzMRERERUWp74YUX1ECh0n4/deqUqtu5cyfmzp2r2u8yuLezevLJ/Bg6dJjWhn8Br7wSpV1rjECGDP6oXHkuhgx5CVOm9EbNmjVgNJr0TxBReqtaw4AVv5vw0adGDA6xoHFdM7ZuZgCaiCiluXzgWUYklsEh4nbVl8BymzZtVD5iyQcnuQ4HDRqk8pslNhq2M8iTJx+Cgrpj0qQgfPllOyxc2B4zZ3bQGrNdUKNGTa0hm0lf8tEtX75c5cNmmg0iIiIiSkvSfpccu3EfLZUBvWVATHlP2u9ShgwZotLo9e7dW1/KeRUoUAh9+vTV2u/v4auv2iMioj2mTu2gXXsE4qWXKjDoTOSk/JoasGWPCW+3NqCtvxntA8yIOcgANBFRSnH5wHPnzp3RtWtX5MqVS6/R/iijEb6+virYLA3YmjVr3h1QsGzZsvpSzi137jx48cUK2u9eD40bv41q1Wprf2PK9UxetmyZasi3bPn4uaKJiIiIiJIqMDBQjdx+f/v91VdfxcCBA1X79JVXXsE777yDkJAQ1RvaFTzxxJMoX76y9rvXxxtvBKBixRrIli2H/i4ROSsZ46xdJyOiD3rhuRcMqOdrRnAvixqQkIiIHo/LB56rVauGGjVqqN7McWXKlAmVK1dG+/btVY8JacCWL19ef5dCQ0PVCOJERERERGlJ2u7Vq1dH5syZ9Robb29vVK1aNV77/cUXX9TfJSJKXdohCP0/NmLjLltay+rlYzH6Uwtu3lSzRET0CNwyxzMRERERERERUXLlLwCMnWTEqvUm7NtrRTmfWESEZUZsrL4AERElGQPPRERERERERERxlPAxYE64CXMjTPjpR2/UqZoBkUuY/5mIKDkYeCYiIiIiIiIicqBSFQO+Cb+AgZ+YMXSQBY3rmrF1MwPQRERJwcAzEREREREREdFDNGxswcZdJrRuZ0BbfzPaB5gRc5ABaCKih2HgmYiIiIiIiIgoEV5eQOv2RkQf9EKZsgbU8zWjT3cLTp/SFyAiongYeCYiIiIiIiIiSiJvb6DfICO27PFCJm26cplYjP7UgmtX9QWIiEhh4JmIiIiIiIiIKJny5gNGjTdizSYT/v6fFS+XjsVXMyyIjdUXICLycAw8ExERERERERE9ohI+BsyeZ0LYEhN++N6KymXMiFzC/M9ERAw8ExERERERERE9ppcqGLBstQkjxxsx/GMLGtYyY9MGBqCJyHMx8ExERCkmLCwMlSpVgsFgUCVPnjwICgpCdHS0vgQRERERkXtr6GfAuu0mtHvXgHfbmNHG34yYgwxAE5HnYeCZiIge27lz51TAWYLMffv2xdmzZ2G1WrFmzRrExMSgfPnyKihNREREROQJvLyA1u2N2LHfCxUrG1DP14w+3S04fUpfgIjIAzDwTEREj23ChAnYtm0bQkND0bJlS+TNm1fVlytXDvPmzUPJkiVVUFoC1EREREREnsLbG+gdYgtAZ9Kmq5ePxehPLbh2VV+AiMiNMfBMROThpGfy45o2bZp6laDz/SQIXb9+fVy4cAGrVq3Sa4mIiIiIPEfOXMCo8UasWm/C4UNWvFw6FjOnWhAbqy9AROSGGHgmIvJAZrMZt27dxLVr17B//37cuHEDt2/ffuQgtASVRUK5nM+fP69ec+TIoV6JiIiIiDxRCR8DZswxYVGkCUt/sKJyGTOWRDy8DS5tdGmr37p1C0eOHMGpU6fUvLTpiYicGQPPREQeRhqsP/30E2rWfBXZsmXD88/7oVSp59CuXQfs3bv3kRqwkkpDhISEqNf7SRqO3Llzo0qVKnoNEREREZHnerGcActWmzB2khGfjbSgXg0z1v/uOAAtHUV69HgfTzzxJIoXfxk+PlVQq9ar+Pbb71RHEiIiZ8XAMxGRB5GeEUuW/IQ33+yLrVs/0GqkcXsI//zzG8LD/VC/fhMsW7YUd+7cUcsnVb9+/dRrVFQUGjZsGC+Xs+R2lh7PS5cuvZv7mYiIiIiIgNcaGLBmswkduxgQ1MmMNv5mHNh/LwB96NDfaNOmG2bNyoArV/ZqNedx7dqf2LRpDLp1W4oPPwzCyZMnbQsTETkZBp6JiDyE9HReuDACAQGDtbm5WrHnYzZopahWWuPff9ciKGgQfvppsbb8bfVuUgQGBmoN325qWoLPpUqVUmk3JOi8cuVKrFmzBr6+vup9IiIiIiK6x8tLa4m3N2LLHi9UrW7A66+a0TPQgk1/xKB58/bYubOhttQwrRRRywM5tVJTa6/PxzffFMEnn/TCP//8Y3uLiMiJMPBMROQhLlw4i4ULf9GmPtJKNVV3jwSfpRTByZNtsHZtNG7cSN5Q26GhoXeDz5LzuXz58ti6dSs2b96McuXKqXoiIiIiInLM2xt4v68RO/Z7qcEIm9V/EscPjdBa6e20d3PbForHGzdv1se2bYWwf/8uvY6IyHkw8ExE5CGuXr2C9et3aFN1bRUJqq0ttx3Xryc/X5wEnxs0aKDP2XI7Dx48OF7qDSIiIiIiSpgEnYeNMaKCbyBu3Xwa2U1PIqPBor97v2dw7Fh27NmzU58nInIeDDwTEXmIW7du4ty549pUAVtFgp7FwYNHVD7o5JDgsuR3LlGiBHbt2nV3wMFp06Y9kPeZiIiIiIge7uSp9bhuPo5rFhMyGKzIbjKr1/iexPnzmXDypLTziYicCwPPREQeIkuWrChWrLQ2ddBWkaDteOmlF+DtnVmfT5w96Cyk17Ok1pAUG/bez9Lz2f4+ERERERElrmzZl5Ax43GYrbdU8PmGxYhMBjOyGs36EuI4ChS4AR+fZ/V5IiLnwcAzEZGHyJo1O6pWfUGbmmerSNC32nIvqkB1Ukk6DQkuf/SR5I+2yZs3L1asWHE377O8HxYWpqaJiIiIiOjhKleuiWzZftOmTqt5s9UAg8GAWO0VsPd83o1ChQ7h+edf0ueJiJwHA89ERB4iV648aN26sdYwXaXNLbJVPqAvChbchXbt3kaOHDJaduJiYmJUOg3h6+urXuOKm/f5m2++Ua9ERERERPRwjRv7o2bNCzAaQ7W5y8hiNKug8y2rhHIk+PwbTKaRWlvbBzVq1JaPEBE5FQaeiYg8RMaMGVG79qv47LPuKFToc63mDa18p5X9WpmjlSYoWHA5vv8+FKVLS0qOpDl58qQ+lbCePXvqU0RERERElBRFixbDsGGD0bjxv8hiXK/VHMINiwwWLr2gP9BKD/Tp44sBA0K0aSIi58PAMxGRB8mWLTuaNGmCKVN6YdasN9Gs2Q4UK/YRmjf/E59+WgUREV/C1/cV9QhfUhUqVEifsuV6diRHjhzqNVeuXOqViIiIiIgS9+KLL+Gp/MPwVOFq6NhtMcqUmYgqVb5Djx7ZEBY2CCEhwVob39bWJiJyNgw8ExF5mKxZs+KNN95Ex47tMHbse5g7NwhjxnRGr17dUa1aDX2ppCtRogQCAgLU9OzZs9Xr/TZu3Khee/TooV6JiIiIiChx4fOsWLW8MFauzYXBH7fFV191w/TpXfDRR0F4++2WyJv3CVit9nzPRETOhYFnIiIP5OXlBZPJC6VKPY8aNerAx+c55Mjx6L2Rp06diooVKyIkJASDBg1SeZ+FvI4dO1bVL1iwwGEOaCIiIiIietCmDVYE9zJjboQJTxcz4MknC6FSJV+UL18F+fMXuvuUYnKeViQiSksMPBMR0WPLmzcvtm7diunTp2PlypUoWbKkagBLMPrIkSNYt24dWrZsqS9NREREREQPc2C/FW38zZg8w4RKVRhYJiLXxMAzERGlmMDAQBWAlsf9pJw/fx6hoaHs6UxERERElETnzgJtW1jQ9X0jmvoz6ExErouBZyIiIiIiIiIiJxAbC9XTuWIVA/oNYsiGiFwbj2JERERERERERE6gZ6AFXl7A5BkM1xCR6+ORjIiIiIiIiIgonY0bYcG2zVbMizCp4DMRkatj4JmIiIiIiIiIKB1FhFvx5TQLwhYbkTOXXklE5OIYeCYiIiIiIiKiNBETE4OgoCDkyZMHBoNBvcr8uXPn9CVShnzfjBkz0LBhw7s/a+zYsfq7jq1fv14tn9hyKW3TBiv6dDdjTrgJJXw4mCARuQ8GnomIiIiIiIgo1UVHR6NixYqYNm0aLly4oOrkVeYl4JtSwWcJHJcqVQpdu3ZFiRIlMHfuXBw6dAjBwcH6EvGFhYWhUqVKqFmzJqKiovTatBFz0Ir2AWZMmGpC1RoMOhORe2HgmYiIiIiIiIhSlQSV/f390b9/fxUEtlqt2LVrFwICAtT727Ztw+DBg9X0o5KfIQHskJAQlCxZUv2c0NBQNGrUSAWgHZFezkWKFMHQoUP1mrRz6SLQspkFnbsZ4R/AoDMRuR8GnomIiIiIiIgoVc2ePRvDhw9XvY7tQeBy5cqp3sYSJBYrV65Ur4/CHnSWHsvdunXD1q1bEww2x+Xr66uKBKelN3ZaiY0F2vibUbGKAf0GMTRDRO6JRzciIiIiIiIiSlUtWrRAy5Yt9bn4unTpol5z586tXh+FBJ2l13SDBg1UL+dHkTdvXn0q9fUMtKjXyTMYliEi98UjHBERERERERGlqqT0Pn7rrbf0qeSRnM4SdBaPGnROS+NGWLBtsxXzIkzw8tIriYjcEAPPRERERERERJRuFi5cqNJcdOrUSa9JOkmxMXr0aDUtKTaSEuBOTxHhVnw5zYKwxUbkzKVXEhG5KY8IPJvNZn2KiIiIiIicHdvvRJ4jKChIvYaHhz9SqgvJHX3hwgU13bp1a8yYMQOVKlWCwWBQRdJ7yACCzmDrZiuCe5kxJ9yEEj4cTJCI3J/bBp5lhNybN2/iyJEjWLduHY4fP45bt27p7xIRERERkTOxWCy4ceMGYmJiVJDoxIkTuH37tv4uEbkT6aW8fPlylZd52rRpKuB88uRJ/d3kkd7Sdr1791avEydOxIIFC1Qvaglo16xZUw1imJ6OHbGirb8ZYyeZULUGg85E5BncNvC8f/9+BAYGom7duupxm9dffx09evS4eyeUiIiIiIicx969e/Hee++hXr166Nq1qwpISRDp0qVL+hJE5C7atGkDPz8/REVFqXl5fZTgsASw7bmdZVDBrVu3qjiAr6+v6um8YsUKFXwWrVq1Uje20sO1q0CLxhZ07maEfwCDzkTkOdwy8Cy9nD///HP8888/WLRoEfbt24cpU6aoxmzfvn31pYiIiIiIyBkcOnRI9VA8e/YsfvzxR9V+nzBhArZv347+/fvrSxGRu5CAsOzvkZGRKmBsJ8Hh5KTFkGOFXZ06dfSpe6Qn9dChQ/U54LPPPtOn0k5sLNDG34yXKgD9BnGYLSLyLG551JNHdP777z91B/Wll15SdXKXU/I9/fnnnzhz5oyqIyIiIiKi9CdpNeTJxDfeeANly5ZVdVWrVsVbb72F6Oho1auRiNyLBIUbNWqkgtCSFsNOOo2lJPkZuXPnVtPp0eO5T3cLbt4Eps426TVERJ7DLQPPMoCADEhy584dvcZGcsYJb29v9UpEREREROnPUftdxmxh+53IM0haDHvP54sXL6rXlFS5cmV9Km1NHGPBpg1WzIswwctLryQi8iBuGXh+9tlnUaFCBSxduhQRERH466+/sGTJEvXYnpzMcuTIoS+ZMGnoZsqUSZ8jYR8VmOLjekkY141jXC8J47pxjOvFMft64bqJz2RijypyPc8//zzKlSuHxYsXqza7tN/lVQYfk/Z71qxZ9SUTxvb7g3iMdIzrxbH0Xi8dOnTQp5JOcjmnhUdZN0sirJgy0YK5i4zIm0+vdDPpvc04K66XhMl6MRqZciYud2+7G7QGmlWfdisHDx7EsGHDsHbtWtVDQjZsucsZGhqKzJkz60sl7LXXXlM5ojNkyKDmb926pQY76NixI4oXL/5Ab2p3J+tP7jzL3/3EE0+oUcfJRnYh2VaKFCmi15CQbeb06dNqf8uePbtaT2Q70crxRB4ZLly4MPelOGTdyL4kx5iMGTNym9HJviQDa8l28+STT3KbuY88ni/7kic27qWNsmzZMnz77bcqRYG90SrpxqZOnYrmzZureSJXIYODS/t948aNd9vv0v6eNGlSkgLK1apVw+XLl+/uC3LclIHGpf1eqFAhxEqiVQ8i609SDMq6lI43PH/YyPni2rVruHLlCgoWLMj1Ekd6X9fIwICSXqdt27YYPny4Xpu4Jk2aqJSakqZHOp850q5dOxUb6N69O/r166fXPsi+nOSWl0FOhexLks4zV65c6tomKW3UP3dlRFDHvPhi1jm8VPG2XuteZL0wRuCYnG/kWlj2JV7T3CPHX2m758+fH14e+AiAXOPKDXVpu0uOe3t7RaYl/7ykB3ZHbhl4lgEGRo0ahatXr6Jnz54oWbKkOonNnDlTNS5mzZqV6EYuOeXGjRuH0qVLq4OGrCZp8GbLlk191tMOHnJSOX/+vDqpFChQQD0KSTayLRw7dgxFixbVa0jIQVQaaFmyZEHOnDnZENHJyfbmzZsqMPT0009zvcQhx5mjR4+qhogcbz3tOJsQe6Neths5h/H4G59sM556/JXjiaQhkPaOHEtkXoJLnTp1Unly27Rpoy9J5Px2796N0aNH4/bt23j//fdVR48//vgDs2fPVtPSeUSOhw9Tvnx5fP311+pmlBwr5TwiQVdpv0u7xNPOK/a2mATKJGDGNoeNbEcSdJabFBIU4nn1nvS+rpHAy4ABA3DgwAG1399POm5IXuj7hYeHq2C1SOiz8lS05HdO6H07GSdq5cqVKp7w4YcfqjrZZo4fP448efKoa5vEjiXHjwINawFDRgJvu2ccSZH1whjBg6Q9JutEjr/FihXjsTcO2WaOHDmibgZLBwpPOy/b2+5y81P2F3vbPSgoSN1o79y5s76km9H+o91KbGysdfr06dZatWpZf/75Z73WatUasdZff/3VWrp0aWtYWJhem7DKlStbtZOSPkfiwoUL1jNnzuhzZKedSKyHDx/W5yiuU6dOWbVGvT5Hdjdv3rRqjXp9juKS9XLr1i19juwuXbpkPX36tD5HcfH4+6AOHTpYv/vuO32OyPlJ+33SpEnWOnXqWFetWqXX2trvy5cvt77wwgvWiIgIvTZhZcuWtf7777/6HAlpi8k5hOK7evWq9eTJk/oc2aX2dU1kZKR1zJgx1kOHDuk19+zatcuaO3du9b4j8lkJX8gyjj4fEBCg3pfX+9k/O3DgQL0mYQ0aNFDL3v97nDhxwnr9+nV9LmFXr1itVcvGWkcNNes17o0xAsfu3LljPXr0qD5Hccl6kfVD93Tt2tU6c+ZMfc79uF1iFXkcWXo/yaP9zz33nF5rexxV5kuVKqUe40sK3rEjejzaMUafIkoabjMJ47p5kH2dcN3Ex/VBrkZSxUgvS3lCSnol2kn7XXI/lyhRgu13SnE8VqY96U0cEhKinkiWHn7yyPn69esxduxY1K5dW6W3CA4O1peOb/LkyepVjheLFi1S03FJiqmKFSuq3s/y3dI7WoSFhane0N26dcOIESNUXULkd4mKilLT8rS09JBODsnm0z7AjLLlgf4fM4etp+MxJmFcN/G5+/pwu6OhPZ/s9evXVff1uCRlhuSsSkqOZyIiIiIiSn3y6Lqkw5D2u5S45HFlab/LMkTk2hYsWKCCw2LatGkqEC25nKXz2LZt2xIMOgtJoZk7d24VtG7RooVee4+k4JD0mmPGjFGpMvLly6ceY//mm29Uqh4pCZGAsywrj7rbHTp0SP0sqU+q4F4WXL0KTJ3NQX6JiOzcMvD80ksvqVyYkhNOTmLi1KlTmDhxogo+N27cWNUREREREVH6kqDyyy+/rHLufvXVVyr/rpCAs/RylMDP66+/ruqIyHW1bNlSBYeld5+9rFixQvVElicbHqZRo0Yqn/DBgwcfuqwEr2WZuN8vP/dhfH194/1O95ek+GK8Bet/t2JehAkeOGYaEVGC3PL5DzlxyAi0MkiJjIorRUazlkf0Pv7443gpOIiIiIiIKH3JY/bvvfceduzYAX9/f9V+l4EyZRCiwYMHx0vBQUTkTCKXWDFlogVzFxmRN59eSUREilsGnuVRvebNm+PTTz9V+Z1at26tXocOHapGeU/O4zJERERERJS6JFWeBJvjtt+7d++OTz75RPV0JCJyRju3WxHUyYw54SY8U5pxBiKi+7ltxvusWbOiatWqaNasGd58800VcJZ8UhkzZtSXICIiIiIiZyGdR6pVqxav/S4pOGSQQSIiZ3PyBNCyqRljJ5lQtQaDzkREjrht4JmIiIiIiIiIKKVduwr4+5nRsYsRAW0YdCYiSggDz0RERERERERESRAbC7QPMKNseaD/xwypEBE9DI+SRERERERERERJENzLgqtXgUkzTHoNERElhIFnIiIiIiIiIqJEzJxqwW+rrWowQW9vvZKIiBLEwDMRERERERER0UOsWmHEmGEWhC02In8BvZKIiB6KgWciIiIiIiIiogTs/8sLPTobVU/nZ0pzMEEioqRi4JmIiIiIiIiIyIHTp4DAdrnw6WgzfGsx6ExElBwMPBNRkoSFhaFhw4YwGAyqVKpUCTNmzNDfJSJ6NOfOncPYsWORJ08evSZx8pmgoCDkzZsXxYsXR+XKldUxioiIiCglXbsKtPAzo0Wrmwhoa9VriYgoqRh4JqJESYBHSocOHWC1WnH27FkVeO7atat6lSAQEVFyxMTEqONKqVKlEBISggsXLujvPFx0dLT6zNatW1U5fPgw+vTpc/c4RURERJQSYmOBTm3MeKY08H7fq3otERElBwPPRPRQgwYNwrRp07B06VK0bNlS1Ukvw9DQUAQEBGDbtm3o3r27qiciSqotW7agdevWqF+/vl6TOLnJVbt2bRWkDg8PR4kSJVS9HJv69++vjlVyzCIiIiJ6XAP7WnDxIjB1tkmvISKi5GLgmYgSJD0SR44ciZIlS8LX11evvUfeExIAWr58uZomIkoKCRbLcaVdu3Z6TeIGDx6sgs7dunW7G3S269Spk3qV45L0iiYiIiJ6VDOnWvBLlFUNJujtrVcSEVGyMfBMRAmaPXu2evXx8VGv95PAT8WKFdX05MmT1SsRUXLkyJFDn3o46e0sPZpF48aN1Wtc8iRGgwYN1DTzzxMREdGjWhFpxZhhFoQtNiJ/Ab2SiIgeCQPPRG5Cci9fu3YV5879hwsXzuHWrZv6O49u+/bt+lTC7I/JR0VFqVcick8Wi0U7rtzC5cuXcOnSBdy8eQOxsXf0d1PfokWL9CmgcOHC+lR8derUUa8caJCIiFyB2RyrnVcv4uzZM9q59WKanlfJsX17rQhsb1Y9nZ8pbdBriVyP1WrBnTu3cfXqZVy8eB43blxX80RpjYFnIjdw/fp17N27F6NGfQ4/vzZo2bILvvlmAY4dO6YatKkpZ86c+hSwfv16fYqI3IkEmzdu3IgFCxahX79P0LVrP3z11VysXPkLbt9OmwbsmjVr9CmgXLly+pRjko6DxyMiInJW0mHk/Plz+PXXtfjgg49Qv34AuncP0c6rv6pzrrxPae/0KcDfz4xR443wrcWgM7muO3fuqEG4Fy+OxEcfjcK7736AadO+0uZ/0o4xl/WliNIGA89ELk7uWnbr1h0vvtgMI0bcwObNg7VGawd07boKxYtXwrx581Qvxcchg4ARkWe6ffsWvv76G9Ss+Qo6dvwJM2eWQFhYTe0C+Te88cYHGD16FMxms7506rkoo/skonr16voUcOLECX2KiIjIueze/Sdef90f9ev3086xZbBz52itzV4Zfn4jUbbsyzhw4ACDz2ns2lWgZVMz2rQ3orVWiFxVbGws1q9fhypVquLtt2dh0qRc+PHH19G3715tvj9CQgbiwoXz+tJEqY9HVCIXJsGezp3fw3ffHdHm9mplhFZqauUNrcyHxfIF3ntvFMLC5qoTUHLZB+9i70EizyTHmNDQz/HBB6Ha3DGtSAqL97XSXivztGNMBD799BuMGDFcm09d9nQ+9rzyiZEnPoiIiJzNn3/uQpcuH2LLlhe1OUlr11UrVbQig+T+iqNH26BBg4Y4dOiQNk9pQS6TurQ3o4QPMGgoQyTkuiQ1ngSd69R5XZvbpZXlWgnRSiutyFgpf2D69N8xcODgJHXqIEoJPKoSuSg5qcyZ8y3mzj0Kq1UCMplsb8TzNm7f/hihob8gOnqbXpd0H374oT4F9O7dWw3udb9ff/1VnwKee+45fYqI3MG2bRswb95BbWqWVoqouvhegNn8E0aMGJpmgV4ZRJCIiMgV/fvvCUyfPh+bNz+jzX1hq4zHpJWPcfx4ewwfPly19yn1DR1kwZlTwNTZsv6JXJfki//ss6+0qflacZSaLp9WftOOQ1+rm2B8soLSAgPPRC7MaJTcY0VtMwlqiujoizh9OvmPnUuP5wULFqjpbdu2oWHDhli+fLnq/Txjxgw1b++FWLJkSQaEiNzMgQN7tX1fely9Yqt4gByDimulJo4dO6pqiIiIKCFWGAxZtdeCtlmHTLBYWmPt2rUMCqWBr2ZYsCTCgrkRJnh765VELkoGK42M/Emb8lfBvsxGC7wM9x9H5Jr9VZw4cVal1CNKbQw8E7ko6QGxdu06rUEqqTUetitnxa1b2XHw4L/assnPw9qyZUusW7cOAQEBKvjs5+enej+Ljz76SL2KLl266FNE5A4uXjyH3bvlKYcKtooEZYTZ3AZz5sxJ1Qtke4qNgwelB7ZjMsiqXZkyZfQpIiIi53DmzL/YtUs6g0hqjYTYbuoeOQIcPnyEwedU9EuUVfV2XrTMhPwF9EoiF3Xr1k1s3LhLO4K8Dm+jBdlMtlSbZqujgTI7ICxsmdbev6DPE6UeBp6JXNjt27e1fzNoJbFRl/9BvnyZYTA82uNjvr6+2okpTDV8pcgIuYGBgZg/Xx7hAXLnzo0WLVqoaSJyD9mz50CePJLC57StIkFmGI1bUaXKwy6iH588VSEelvPy0qVL+hRQuHBhfYqIiMg5mM0W3LkjHUGk/S4X41YVILLLZLCoHoomrc1utR7G008/pbXfE2vn06PYt9eKTm3MmBNuwjOluY7J9ZnNGbBjU3lkN4WqY8tVswk3LDLlyGZUqFAGWbJk0eeJUg8Dz0Quymg0onVrGSRAUmE8bFfejLJlfVCypOSSSzkxMTGYNk0GKAD69+9/dyBCInIPJlMGlCtXEk8+eUeb+9dWmaDf8eqrtVP14rh27dr6FBzmmxf2wLPcDCtXzlFeOyIiovRTvLgP6teXMVGWqG4jWU0WxO3QfNtqhEWryGK8hEK5YvD1TBPOndXfpBRz+hTg72fGsDFGvFqXQWdyfeHzrPB9GdgT/RTyFB6A65aDsDy0c9qv8PWtgKxZs+nzRKmHgWciFyUBnlKlSiFfPhmNdryt8j4Gg/So+Ab16j2rLVvaVplCJPWGkMffg4OD1TQRuZdnny2LWrWkV9Yn2vHEVvegH5Anz6W7PZJTS7169fQpYPPmzfpUfNu3b1evkiKIiIjI2WTPnlM7X8oTOdHIYvwPsVYDblnvXZJLDPqW9RSumN/Ghx+dQPROA14uHat65q7/nSk3UsK1q1o7oakZAW2MaNeJ4RBybXJcqF3FjPGjLOpGyg8/m9GytQwg2Mm2gEO/wmj8RzsWFdNeOaAmpT4eaYlclASeixUrjh9/nIQnn4zUasbZ3ojDav0QLVpkwHvvNUeePE/qtY8vKChI5XuWoPOKFSv0WiJyNyVK+KBPn66oUeMf7XjSVquJm3bjpFZGoGDB4Srgm9qPAstTFd26dVPTy5YtU69xSS9o+2CnH374oXolIiJyJl5eGdC8uR9eqSxPDR7BDYu04eP6RytBGDmyIbp1r4TQ2Ub8edALVaob0K+nBZXLmPHFeIvqsUuPJqiTGU8XA4aMYCiEXJekipEbKHJTqmMXAzbuMsGvqQE5cuTQrtUD0aKFDP5dVyv71fI2V7QyCyZTF2zaFImiRbUdgSgN8GhL5MIyZPBC9eqV8P33w9CkyT6tRk4w1bUiaS+eR5s2d/DJJ4F49tmU6e0sgR3pSSgpNho0aKCCznnzyqi4ROSuqlatjtGjg/H66zdQoMA7Wo2vVmrgiSda4P3372D9+sUoXLiIWja1DRs2TKXRkJzz96fbmD17tnodOHAgU/8QEZHTmjYpO65dKY7xU4+gTJkpWo0Ef2po5WmtXf2Wdq7z1c6v78Hb21sWR85cQJfuRvwRbcKMOUYcjgEql4lF+wCzGhyPkk4GEjx5AgidzV6e5JrkplNQJwsa1jKjfAUDduz3Uj33vbz0BTRPPfUUxowZioCAAvDx6a3V1FQlc+ZX0arVXmzdGo5KlSqleqcRIjuDlcPkOiSDJMkI/aVLp2x6Ald28eJF3LlzB0888YReQ0J2oaNHj6JYsfS7Y2i1WnD8+FGcPn1Sez2j/R/lRJYsmVGo0FMoUKCQdlJ5vHtM69evx88//xwvp3NS0mucOnUKWbNmRfbs2fUaErdu3cKZM2dUo4DiO3bsmLbNFkDGjBn1GhKXL1/GjRs3kD9/fr0mbcXGxuLff//Bf/+dxt9/H9UarplQokQR7fcppB1vHn0YeAked+/eHeHh4Wp+zJgxiR5boqOjVb5nSe0hAWiTyaRugklvaCmhoaH6kp6rQ4cOeO2119C2rfRSJ/Icktt9+fLlHFw0jtOnT2vH7MyqFxzdc+3aNTUuQKFChfSatCF5WD8OMWPVehOeLHBTa/cc1trL/2rnw8vadpsP3t5ZULRoCeTMmVv/hGOSLiJ8ngXffWXVPmvFOx2NaNPeiEKPeR/YGa5rUsu3sy34bJRFW/deyP8ITZd//vkHefLkUfsT3cMYgWPSdpZtpmjRonrN47l0EZgy0YLQSRaVJiZksDHR7fjkyX+0/5+z+OuvQyplXokShbW2e0HtuPe0vkT6kOu9ggULIkMG2yCrBHTt2hUVKlTAe++9p9e4F/Z4JnIDElh++uniqFSpBt58sylq1qyjHbiqaQf0Io8VdB47dqy6E1qzZk31KP2oUaPw999/M6czkYfx8vLCU08VxcsvV8ZbbzVHkyZvoEyZlx8r6NywYUPky5fvbtBZhISEqGOOHHsSIoElSfUjgWcfHx8UL15c9XaOjIxk0JmIiJzWpg1WBPcyY26ECU8XM8DbOzOeeeZ5vPJKXTRr1hSVK9dE2bIVEg06CxkP7N1AI9ZsNiF8iQn/nQFqVoxVj96viLQiNlZfkJTfVlsxOMSCRctMjxR0Jkovsi/PnGpRud7/2mPFum0mTJiaeNBZFCpUGM8/Xw7+/s3QvHkzvPRSlXQPOpNnYuCZyM08bu/muCTALD0fpEiPwsDAQKbWIPJwtkFIHv/RPDmm2I8v95fEbm5JKg3p7WyxWHD48GFs2bIFjRo10t8lIiJyLgf2W9HG34zJM0yoVOXBc+jjtN+fe8GAsZOM2HvEC02aG/D5WAvK+sRixBALjh3hw82y7iUtyZxwE54pzdQC5DqWRFhVXvcfvrdiXoRJlRI+yd+G5fiSkjECouTi1kdERERERESUCs6dBdq2sKDr+0Y09U+9wKekhG7d3ogVv5uweIUJN28Ctaua0cLPrAJYntgLWvLhtmhsxrAxRrxal0Fncg3rf7eiXg2zykku267s01VrcPsl18XAMxEREREREVEKk2Cv9HSuWMWAfoPS7tJbevZKwEp6QbdqZ8SsUAteKBar0k1ID2BPIHmw22rr3j/AqAZfI3J29icjOrUxa/utAVv2mODXlAFncn08AhMRERERERGlsJ6BFnh5AZNnpM9lt/SC9g8wYNlqkxrQUH6XN14zo3FdMyLCrapXtLsK6mRWgy0OGcGQBzk36Znfp7sF9XzNeLGcATv2e6kc7rK/ErkDHoWJiIiIiIiIUtC4ERZs22zLzeoMASQZ0FCCsNIL+r0gIxZ8a0E5n1gE97Jg31736gUtKQpOngBCZ8u4FETOSXrlj/7UgsplbHlwtuzxQv+PjWrwUCJ3wsAzERERERERJdm5c+cwduxY+Pj4wGAwqNKyZUtER0frS6Sc9evXIygoCJUqVbr7sx7G/rvlyZNHr0l70pv4y2kWhC02ImcuvdJJSBBcck0vijRhzSYv5MkL+PuZVU7Z+XMsuHHdtUME8jeEz7NgboQp1QN4MTExatuUbU22S3mVedkGU0JKbMvJ3X8o9UkKnq9mWPBy6VjsjrZq+6EJE6Yakb+AvgCRm2HgmYiIiIiIiJJEgmENGzZESEgIDh06pNcC4eHhqF27dooFn+V75OfUrFkTK1euROfOnbFu3TpYrY5759qDgKVKlVK/24ULF/R30tamDVb06W7GnHATSvg4d5BPUlFID8s/D3qh70Ajlv8E1PctoB7737nd9XpBy6BsA/paEBFpSvUgnmyfFStWxLRp0+5ua/Iq87LdPk7wOSW25eTuP5Q2IpdYUbmMGd/Pt6pjhDwR4ezHCaLHxcAzERERERERJUn37t1RsmRJ7Nq1SwWxJPg8ZswY9Z4EyPz9/dX04wgLC1NB7KioKEyfPh0HDx5EYGAgfH199SUetGXLFrRu3Rr169fXa9JezEEr2geYMWGqCVVruE4wSXpBN/QzYO4iI36MOo2nnob6O2pXMauemZcu6gs6MRmYTX7n2fNMeO6F1F33ElSW7bx///5q+5f9QPaHgIAA9f62bdswePBgNf0oHndbfpT9h1LX1s1WNKxlVgN8SsqbFb+71jGC6HEw8ExERERERESJksf25bF/CWyVK1dO1ZUoUQLBwcHo1q2bmpdAnPTYfFTy3a1atVLTEsyTgFlSSKoPCay1a9dOr0lbEpxt2cyCzt2MakA/V5XvCTN6h9h6QQ/61Ijff7WirE8sgjpZVPDMGcngbLLuBw014rUGqb/uZ8+ejeHDh6vtXrZ/IfuDbLtyU0ZIL+NH9Tjb8qPuP5Q67Dej2vqb0fxtA7bsMalUN0SehIFnIqJkkgad5DSUi6/ksD8298Ybb+g1RERERK6jUKFCCA0N1efikx6adjlz5tSnkmf58uV3g2ZLly69G9xOjhw5cuhTaUdytrbxN6NiFQP6DXKfS2wJ4ko6gB37vfDc80D3ThZUK2fGtEkWnDurL5TObt609c72a2rAu4Fps+5btGihgsOOdOnSRb3mzp1bvT6O5G7LKbH/UMqQmyGjh+ZCzYpm1QNfBg7s0t3oFAONEqU1Bp6JiJLAPriHBJylQRc3p2FiJEAtjVPpASF534iIiIhckb1358M0aNAAefPm1eeSTtpabdu2VdPSe9qV0gL0DLSo18kz3PPyOm8+4P2+RtVbc9xkI3btsKqB0Tq1Mau8yumpeyez+v0kfUFaScp+8NZbb+lTacOV9x93IjdCRn9qwSsVgVu3DOqmjeRRd7ZBRonSEgPPRERJsHnzZlSvXv1uL4akkl7Oly9fRo8ePe4+ekdERETkbn7++WfVy9Oe7zm5JH2BfRC1Dz/8UL26gnEjLNi22aoGCfOE3oy+tQyYMcekUnFUqW5Av54WNVjaxDEW1cszLY0YYkHMQWCm9vs4y7pfuHChGnSwU6dOek3acNX9x13IUw/z51hQzicWu6OtWLYaGDLyQqoPcknkChh4JiJKgkaNGqmeA8ltREqPCPtn7QOOEBEREbkTSUMmT3U96uP90ltz9OjRalraSydPnlTpySSftMFgUE+cyZNnspwziQi34stpFoQt9rwejfL3SuqAP6JNmDrbiMMxQOUysSrtxS9Rqd8LWoJ887QStsSErNn0ynQm26wIDw9/pF7/j8pV9x93sSLSipoVzPh6plUNbik3oUo9q79JRJ4ReI6NjYXFYnv8iYjocTxOI/JR8x0SERF5GrbfXYOkE5MAl6QhkyDXiRMn9HeSR54ss/fWlEHZ5s+fj8aNG6tA9sCBA1WKs5CQEDRs2NBpgmcy0F5wL7PKgVzCx7MHC6tUxaDSjPx1xAu16hgw4mOLGpBQUg6cfLRN4qEkvceAvhZERJrSvUepbI+SW1m2Tbn5ItcKEvhNS664/7iDndutaFzXjIHatijpNFZtMKknAogoPrcNPFutVvV4+759+/DLL79g3bp1OH36tGrEEpHnuHnzBs6ePaNdCB3TylGcOXMK165d1d8lIiIiZyGBZmm///XXX6r9vmHDBu28fYbtdyclPShr1qx5d/wKCW5JANre6zM55P/aToJlMoCh/YmxESNGYMGCBeq9bdu2YfDgwWo6PR07YkVbfzPGTjKhag0Gmuyk57EM8Ldms0kF5M+cBmpWjEXLpmbVKzQpu7IcBy5duohTp/7B8eNHcPLkCVy4cO7uceDAfqvqVS09S2XQtvTWpk0b+Pn5ISoqSs3Lq+wX8hRAWnG1/cfVxRy0qvzmsl03aS4DB5rQ1J/HAaKEuG3g+fjx4yq/2Ntvv40BAwagZ8+eaNeuHTZu3KgvQUTu7r//TmP+/EXo0KEPqldvhkqV3kDr1j0wffo3OHIkRl+KiIiInMHRo0dVkEQeFZf2u4yP0LFjR2zZskVfgpxJcHCw6uwjHXxkMDM7CURLUDo5tm/frk/B4aBoMkiz5M0V8v0yhkZ6kf4LLRpb0LmbEf4BDDYl5KUKBkyYasTeI14qODd+pK0X9NBBFhW4d0SCzrt3R2Po0PF4442OKF++IV57rRV69/4Ev/76K04cv4G2LSwYNNSI1xo4x7pfsWIFzp49i8jISDWwpp3chJEnAtKCK+0/ruzSRaie9jUrmlHqWQk4e6l0M56Q253ocbhl4FkeM/n666+xatUqjBs3Djt37sQPP/ygHnMfNGgQrl27pi9JRO5Kekp88cVkfPDBcq0h2BTHjy/CqVPLsXp1J3z44VZ07dpVm/9XX5qIiIjSkzz+/eWXX2Lt2rWYOHGiar9///33yJQpk+qhd/PmTX1JcjYS6JIelrt27VKDCwp7vtmU1LlzZ30KaZ7KwE463bbxN+OlCkC/QRwuKSm8vYHW7W1pCCQ1huzKtaua0cLPjCURVjVvt2fPHgQG9tGOAZmxbdsnOH9+Lfbtm4I5c8rAz68XmjW8hNcamlWvamci6TWkh7EEoe29i8WUKVP0qfTnDPuPq5JtVAbPfLl0rLrxtGO/l0qt4Wl53YkelVueLaWhKnfepYez5DESJUuWVHflpfHKO3xE7m/WrC/w+ednceXKCG3uLa2U0EoRrbyulYmIinoZ77wTcDcfGhEREaUf6dUseUqlh/Nrr72m6p599ln06dMHGTJkYPvdBciggv3791fTqdG+euGFF/Sp9NOnu0UFoabONuk1lBySGmPUeFsv6FbtjJgVasELxWIxOMSCP3fdwHvvddeOAxIgHaiV6lp5UisyWGUgMlpW438H/kTZij84dfod6V1s7/l88eJF9eoMnGH/cTWymckglhJw3rzRip9/M6lc5umdV5zI1bhl4PnYsWMwmUx3D/hyYpJSoUIFlS/uxRdfVPWJkRFgicj1bNu2AT/88C+uXGmmzUnA+X55tNINe/ZUxeLF93olEJFr4XmayH0cOXIE3t7eqFu3rpq3t99r1KihehE+//zzqp6cW4sWLfSp5KlTp44+5bykx+OmDVbMizDx0frHJL2gJU3JstUmFcwzGi3wq3MHe7fNQAZDa32pe7y1943Ij2uxp7U2/hb8888R/R3n1KFDB30qbbjC/uNqfomyonYVM2aFWjFzjglhS0x4pjTbnUSPwu0Cz3J3/eDBgyqthgxOMmTIELz++uto2rQpZs2ahVu3bulLJk5yltlf7YWIkic99pu9e3dpDdIc2pSjoLNdHly65IMtW5j3nZwfzz+Ocb3Y2NsoXB/kqiTNxuHDh1WahvPnz6vUGvLU4ptvvolvvvkGt2/f1pdMnH0/4H6RPkqUsLW95GnT5ChTpow+BSxfvlyfSthzzz2nT6UNSQkxZaIFcxcZkTefXpkGZIC6SpUqqRutUnx8fFTqSNlnHpV8VnJwy3fZv1d+xowZM/QlkkfyGMt32J80Ti4J5g38JBY1G36A29YzyGiwIIcpFpmNFpgMtv031mrANYsJVlTAjh2HtL/hP1WflpJzLClSRJ6yvLc/pDZn339cye5oKxrXNSO4lwUfBNsGyvStlfyAM889CeO68bw2ikH7Q93qL/3vv//w+eef4+eff8ZLL72kHs2rXbu2yjkmCf9lhNmpU6fqSydMHvGTBrCXfjtbGryvvPKKyo0kJ5A7d+6oek9hNBrVo0LS8yRfvnxq4AeykV3on3/+udvAIBvZZk6fPo3MmTMjR44cabbNyM/q378rvvyynPZ/E6LVPKxLylqt4RWgNZj3qhtVSVW8eHH1unDhwrsDdSSFNOgl56HkQpQGf+HChbkvxSHbzIkTJ/DEE08gY8aMHnMiToysl0uXLqkbp08++SS3mfvINiP7klz0ehpp48jo9TKuhdx4l21FyPlaBg9q3ry5midydtJe+Oyzz/Dbb7+pJxOl7SBtdhkwKyoqSvWClrzPialWrZoa5Mu+L0j7vV69eujUqZM6Tkg71pPIejhz5ozqSZ5WbbFt27bhrbfewuTJk/HGG2/otfHJ8cqeCzquV199VQ0w2bZtWwwbNkyvveenn35SA8Yn9L6d/XcQcj13PzlfyJg/V65cQcGCBRNdL3/uyoju7+bDF7POoXyFpHdielxyA2bu3Ln6XHzSyUpyCSc3gCjrvn379ti9e7deE5/sf6NGjUpyWgb5PrnWlnaKXCvPmTNHfyfp5P/j+vXrqFOnAU6dWqfVFIURVmQ0WpHBYIHEnrV/ccdqKxaUxbffvo/69Zvixo0bti9JZbIvSV7kXLlyqeNTYm1Ue5v/999/x9NPP63X3pPQPnC/xLbluFJq/0kOWS/S5pDYiLTfXbmNevKECdO/yIm1v2bCe0FX0LLdNZhMj3YtItu0rBM5t0mMgNc098i6kbZ7/vz5VTvW09aNXONKXPKrr75SsUvJ1CBkP5I4pgxK6pa0/2i3curUKWv//v2tPj4+Vu2kqeq0A6BVa1hYtROhVTuZWleuXKnqH6Zy5crWXbt2WbUDhlU7EaqiXfRbzWaz+j5PK+LcuXNW7eCpph0t46lFu4ixxsTEOHzPk4vQGmhW7SCqph0tkxpFjBzZ35ojx8faWeysVuRs5qictubKNdo6dGiw+oyj70qoyKFTytq1ax2+n1DRGqDqc9pFsFVrGCb757p7EUeOHLHevHnT4fueWoR2gWL9999/1bSjZTy1yDlZjr+eem6WIu0U7cL7bltFaBeV1u+++05NE7kCaS/06dPHWqpUKev48eNVnWzfly5dss6cOdNavnx566+//qrqH6Zs2bLWgwcPqjY72++284ecO1KyLbZz507VnnHUBtIuoq0VK1a0NmjQ4IH37EXel7bQwIEDH3hPvtvexpLp+9+Xz+bOnVv9H9//Xtwiv5v9exy9L+Ta8MSJE2ra0TL2ciTGbH2m8B3rgu/Sdhuytxm7detmXbZsmfqb5s+fby1ZsuTdv02mZZ07+nxCRf5vZB3K+pfvlCI/S+rs39u4cWOHn3VUAgIC7n7uYf/vDyvi2rWr1ipVamjfs14r0ta+12bPYLBYM2ols9FszW66bM2b+bS1VfP/rIvCtG3ujOPvTOkijh07pv2e19S0/J/IenO0Lcq2K+tT3r//PSnyWVlfKbEtxy0ptf8kp4jz58+rGIxwtIyzlwvnLdaPgs3Wp/PesQ7/2KzmHS2X3CLnnsOHD7vsekmtImS9yPpx9L4nFEdt986dO1tnzZqlpt2R26XasPdwkDuL9hxxclclW7ZsKkec9h+NHTt2qPrESO8A6fEsdzWlyN0J+X75Pk8rwv63i/vf9+TiqdtEYsW+ndj3yfvfT60iatdugOeek0cQd6l5x4xaU1Y+Y5tz9F0JFTtH7yVW7OzT97/vyUVwf3qwxF0v4v73PblwezGodoq0V+xtFWHvPUHkKuzbrDxVKL32hGzf0ku3evXqqqfyzp07VX1i7G12tt/jnzPiTj9OkcEDpUjvVklnGB4ejg0bNqjXqlWrqhQb8+bNc/hZWU56cIqRI0c+8H758uVVL14hOWtleamXnp7SC+zQoUNYs2aN+hn3f9ZeJFVL3Kdbx40b98AywtH0/eX6NQNaNrOiYxcjWrZN221IUkTKE7uhoaHw8/NTTwDIOpABOO1P28n6iIiIcPh5R+XPP/9UaTb+/vtvjBgxQn2nlJCQELVec+s9cJctW6aWdfQdccvMmTPV72D/fYSj5RIrQvbT1q1balPz5VtUnZ30cr6tlRsWI66Yt6DE82NQpux1LP3BggrPmVHf14KRn1ixYS1gNjv+GY9bRNy2WOPGjdV+IOlKunfvrp62lu1VtjfZduU9Wa/3f4+UL774Qn2H9Hp+2P9fUrbluCUl9p/kFiGvsm7s065Sbt0yYMoEq9qGzp0FtuzxwqChRuTK7Xj55BZZJ664XlK7CPu6cfS+JxRHbXeps8q9NjfldoFnaaDmzZtX/cdlz55dr7WRrvxSL489JIU7/8cTubOyZSuhTJkr2tR4rfyl6uKTR20j8Nxzi9Coke3xNXIOPO5ScnB7IXIPkjYgT548qp0unUXikva7BKbZfncOY8aMuTuAu6RBkYBW7969sXbtWpWPW3ISy7WYI5JqzP5Z+R5HWrZsqQKu9evXV0FRuUiXadk+JGhdrlw5fckHSY5hSQkoQXA7e/BPUpwlh2RlaR9gRtnyQP+P0/aSWXIm9+vXz+HfKus27t8nKS6SSv6/vvzyS4f/P/KzJMhtJ2lIHiY6OhoDBgxI8PuSy2TyQp06r2r/z0u0uYTS6hzXjgdD0OLtJ9D9gxyYE27CoVNeGDbWqH0eGDrQgpIFYtGyqRkzp1pwYH/qHQskwGsPuEtqK7k5MHz4cPX/IdtpcHCwes8RSXchQX4JACc0GOejbsuPs/94kvB5VlQuE4sNa61qgMvQ2UbkL6C/mYJ4PkoY10187r4+3C7wnClTJnUQl3ytctCNS04EN2/exDPPPKPXEJE7ypIlK0aOHIOOHaUF0UkrX2nFnsM5WivdULXqfIwfPx4VKiQ9RzMRERGlPGm/S29n6QF4f+5ZyXsouZrZfncOErhasWKFuki2l61bt6qgpQSWE2P/7MMCc/IzJIBt//6DBw+q709soLb7f6+45WE/zxEZWOzqVWDq7LR/gkTWY2BgoD73IFkPcr2bXLIOHhZ4rFy5sj71cNJr2t/fX/2fpFQgUwKkpUuXxk8/yY2LyVpND61sUu8BN7XyHUymNzBkyOvo0KEjcubMpd7x8gKq1jComwOrNpjw50EvtGpnxP6/gBaNzSjrE4s+3S1qcMhLF9VHUoQEeGW7j7uNyfYnPckT204bNWqkejPLdp3Qso+zLT/q/uMJ1v9uRc0KZkyfbEGotm+HLTHhuRfi97AnopTndoFnIQdbGRBB7sDaH8uLiYlRd9YLFCigHgsjIvf25JMF8PHHH2HOnPcRELADmTPX0GoLa43aYAwf/jxmz/4C1aolfoFEREREqU96D5YqVUqlGLAHnw8cOKBuEj/11FOq1x5RWvhivEUFqOZFmFRg0xlJigfhaOC6RxU3MFmoUCF96kEy6KHsrxJ8TUnyxEPVqtXxww9fa211H5QvP0KrLazVvwR//41YuHAIgoK6aW38/LYPOCDx6Kb+BkyYalRB6MUrTChTFljwrUUFoevVMGP0pxZs2mBVvdrJM+yOtqKFnxk9Ay34INiINZtN8K3FgDNRWnHLwLOcNHv06KFeO3furHLFyeitMuqtPJpyfwoOInJPxYqVwNtvN8fnn/fH1q3fYefOH7Fs2SS8/35HPP98WdW7IrniPt42ZcoU1esjKeTml+TCE6tWrVK9JIiIiMhGgs7vv/8+ChcujI4dO6r2e4cOHdS5etSoUciaNau+JFHqiVxixZSJFsxdZETefHqlE9qyZYtK11CvXj295vFJ+gwh+bsT6h0rPWlXrlwZL/dwSpK8r76+r2jHgg6IiBiv2u47d87HF18MROPGftrfnEdfMmlK+BjwbqBR9WyVtBxDRhphNgODgy0omi9WpVP5aoYFx47wsX93dPIEENTJooLOdesbsGWPCf4BDDgTpTW3DDyLF198ER9//DGmT5+O0aNHY/LkySohf6VKlfQliMgTSOL+AgWK4IUXyqN8+cooWbI0cuSwPZ6XHBJwlotfya9mJ3nXJP+a5GF7GPmcPBIpg3rYySOKUi95/IiIiAhqcKxPPvlE5Uy1t98l6PzSSy/pSxClnp3brQjqZIbkDn6mtPMGp6TtKGlpZAC7lMivbCc5oIXcAHJEOlEEBQWpAfFS8ufeT4LP0lYvUeIZ1XYvU+YlFCz4FDJkyKgv8Wik97r0cpUB5CQtx19HvNCkuRG7dgANXzXj5dJmlZZDbj5cu6p/iFySpFUZOsiCauVjUbiIbeDAbr2MTvsEA5G7c9vAswxCUqRIERVolhGW5XEguXP7KD0ciYgkn1rc/Gpxi+Rhe5j7l5dc88eOHVPTScmHSERE5Amk/S5pNeK234sXL872O6U66Rkpg9KNnWRSOYOdmTxxJ/tGcvNWP4w8wSdP5g0cOFB9tyMBAQHqRlBK5XVOb5KWQ3q/Tp5hVEHosMVGlHoG+HqmBc8Xi0XDWmaMG2HB1s3sDe0qJH3KtEkWNXDg6VPAH7u81I0GPSU4EaUTtw08ExERERERET2M9G719zOjYxcjAto4d9BZejtLqgsZyyglzZ49W6Xu6N27t14T36BBg9TTew8b9NDVSS936RW7KNKE/53wwkefGnH9OhDc05aWo9/7OTF/jpFpOZxURLgVlcuYsXqlVf0fhs42olAR/U0iSlcMPBMREREREZHHkR6Skue3bHmg/8fOfWksvZIl7/ncuXNTtNex5HaW1DaSQs5RCg0Jdst7qZXX2Rl5e9vScgwZYRuIbsd+L7xS5za2bDKinq9ZBTgH9LXglyim5UhvMhBo7SpmfD7WonqvS9D5xXJ8SobImTDwTERERERERB4nuJcFV68Ck2aY9Brn1aZNGwwfPhyNGjXSax6fBLNl3JE1a9YkOKCg/EwZp0TGNZG0N/cXe25oebXXudsYJjLQ5Btv3sDn01+fkL4AAGFuSURBVGJVb+g54UYUKgRMn2xLy9G4rhkTx1hUnnBKGwf2W1V6nJ6BFnTtacS67SZ1s4CInA8Dz0RERERERORR5n2TGb+ttqrBBKWHqzOTQf2kt3PLli31mscnQWcJZstgge6StzmtPPeCAe/3vZeW48OBRpw/r/0/vWtByQKxCGxvxvw5FpVnmFKWrFMJNr/+qhm16hiwcZfJ6VPkEHk6Bp6JiIiIiIjIY6xaYUTo51nVgHL5C+iVTkqCzq+88kqqBJ3HjBmTaNBZBtG+f6DsuKVBgwZqOXm113nS4Nly0+LVugYMG2PEH9EmbNzlpQKiv/9qxSsVY1GtnBmDQ2xpOW7e1D9EyXbpIjD6U9vAgdIDXdKfSE7ux71pJPvC2LFj4ePjc7fHvuxrkoImpYWFhanvtv+shg0b6u84FhMTo/b/xJYjcnYMPBMREREREZFH2B1tRc8uXvh8+mU1oJwzSyzoLEEzGfjvflKfkKQEnSVVhgTJKPnkRkbr9kbMmGPrDT3zWyPy5AGmTLDg2SKxaNbAjC/GW7BvL9NyJIXkYZ851YJq5WNx7Cjwxy4vlXs7Zy59gccg+4IEdUNCQlQ6GTvJaV67du0UCz4vX75cBZtbtWqFixcvqvQ1u3btUjd1HJH9T/Z5GdBz2rRpei2R62LgmYiIiIiIiNyePKbfws+MoaNiUanqbb3WOUnQWRQpUkQFou4vM2bMQJUqVVCjRg21nJ0EoiUfc6VKlfSae+yBtjfffBNXrlxx+L2fffYZmjRpgnr16umfoschA931DjFicZQJfx3xQo8+Rpw8KYNa2gLRQZ0sCJ9nZVoOB5ZEWNVAjiuXWxG+xITQ2UYUKqK/mQK6d++ugrsSBJae+hJ8lhsy4sKFCyr/+eOS/dHPzw/nz5/HunXrVLBZgsoJ3fSRXs6XL19Gjx491O9G5A4YeCYiIrclF1jy+Fwe6WqSBPZH2mT5uI/bSU8FIiIicl3XrtqCzu06GfF2G4te63yk7SJtD+npKKVmzZoOS9euXVUw6/7BBkeOHKlet23bpgLJdtJ7U4LOUi+fdfSd0rt66tSpqF+/PvLmzat/klJK1mzAaw0MGDXeiC17TFizyQu+rwArl1tQvXwsalYwY+ggC9b/7tlpOTZtsKJhLTM+G2nB5Bm2XNoSwE9Jsm9Ie1969tuDwDLAZnBwMLp166bmJRAt1waP6qOPPlL7Y8WKFfH3338nKQWN/A6yT8uyAQEBei2Ra2PgmYiI3I49gFyqVCn1+Jz0WkiMXJBJw1Au8uIuL4/bSU8Fe88jIiIici3yuH6nNmY8UxoYNNS5L4ElOCxtj6RwlILD3mNTci7bA13SLpLUARJ0TopmzZrpU5SapPeupOWYPc+EQ6e8MCHUiCxZbLmMpTe03CiZNsmCA/s9Iy1HzEEr2vibVS/wjl2MWLfdBN9aqZMOp1ChQggNDdXn4mvdurU+BeTMmVOfSp7Bgwdj7ty5yJ07t+rl/Cg3ch71ZxM5GwaeiYjI7WzZskU1GqXHTlJI7yK5IJOeD9OnT1ePwkmx93gQEpCWx1qJiIjItQzsa8HFi8DU2Sa9xnlt3br17iB9iRVHgTPpsSnvxc0fK70opXf0/Z+/v1gsFhw+fNhhQDsh9sEHE8pXS0lXqYoB/QYZsWy1LS1H5yAjDscAbVtY8HwxW1qOiHCrGmjPnUiakT7dLajna0bV6gZs3GVCQJvUzb8u+0Ri5ObNowSMpTf16NGj1bTso3x6gDwdA89EROR25IJJevm0a9dOr3m4RYsWqc8cPHgQgYGB6rNSpLG4YMECfSlgwIAB+hQRERG5AhmY7JcoK+aEm+DtrVcSOTlJy9HQz4Cxk2xpOVb8ZkLV6sDSHywo6xOLejXMGDHElpZDevS7IkknIr27Jc2I/L079nvh/b7GdN9Pf/75Z9VT2f70QHLJ4IGiaNGiybqJQ+SuGHgmIiKnYTSm7GkpR44c+tTDSZqNYcOG6XPxSYPR3vM5KSk7iIiIyDmsiLRizDALwhYbkb+AXknkgp4uZlD5yeUGiqTlGDnBCJMJGP6xBSULxKJlUzO+mmFR6SrSkn1MlOSQQPm3sy0o5xOLY0eBNZtMGDbGiJy59AXSkeR8lqccly5dmuAAgA8jvZ2joqLUtHRmke+Tawn7epJBP6WOyJMw8ExERE7jxo3rWiM67U9NiT0GJ4PtEBERkevYt9eKwPZmFah7pnTqPrZPlJa8vGxpOfp/bMSK321pOd5514g9fwLNGppVj2hJXbEkIvXTcty+fQuxsXf0ucRFLrGienkzfvjeqgYNDJ1tVEH19CYBYxnPpVWrVir13okTJ/R3kkd6S9tJir7du3ejR48eiIyMVIMFSp51+RkcO4Y8CQPPRESUrq5du4qTJ49j7dq1WLx4BaKjd+Hff0/g1q1b+hLpr0iRIuq1ZMmS6pWIiIicl+SM9fczY9R4Y6oNTkbkLCRNhV9TAyZMNeLPg15YvMKEMmWB7+ffS8shKS22bk6ZtBx37tzBuXP/4c8/d+Gnn6Lw22/rtbb7MVy8mPCTgfKzG9e1/R6SPmRxlAkvlnOOfXPs2LGoWbOm6uksDh069MjB4ZUrV6pXSdWxePFijBgxQqXva9SokerpbH+KUn4Wez6Tp2DgmYiI0s2tWzcxc+YsNGsWiFq1eiE4eA2qV++szXfFDz8sxoUL5/Ul09fevXvVa5cuXdQrEREROadrV6HSDrRpb0RrrRB5mhI+BrwbaMS8CFtajmFjbfvBwD62tBztA2xpOY4debS0HL///hu6dv1Qa7O/h06dvkarVtNRo8ZbGDlyMmJiDsAa52sl9Yf8vE5tzGjdzoB12014ta5z3QyyD8jpaGBxCUonh/RoFpJSQ4LP94ub2u+jjz7Sp4jcG8/ERESULmJjYzFz5pfo0+drbN3aV6vZqZUfcevWRmzZEoy2badg4sTPcerUv2r59PTjjz+qxmOnTp30GiIiInI20puzS3szSvgAg4byUpdI0nJUrWFLy7Fqg0n1iG7S3IhdO4DGr5nxcmmzSssh+dDlpk1i1q79DcHBn2HRooK4du03reZXrazG4cPfYty46+jYsSt27NiCc2eBAX0tqOdrRsXKBmzZ4+X0N4LsA4vv2rXrbtB49OjR6jWlSGo/SbkhpGc1kSfg2ZiIiNKc9CpYvXo1evacqM3t0kpdVW+TRSuvwGJZi1GjdmLGjC9w/vw521vpQAYelEFC5s6d+9A80ERERJS+hg6y4MwpYOpsk15DRHHJAH7+AQZMnmFLyyEDb5Z+HvhmpgXPF4tV6TDGjbCl5bjf4cMHMWTIWOzcKYFTCchmVfU2z2plDNauDUKbt7ahcpmbKui9Y78X3u9rhLe3bSlXIIMK9u/fX02nxsDiL7/8sj5F5BkYeCYiojQnged58+bCaByizVlslQ8wIDa2LTZvvoFTp47rdWkvJCREPXYnudmIiIjIOUnqgCURFsyNMLlUkIsoPcnAm126GxG2xJaWQ3pGX78OBPe0oGi+WJUi49vZFpw8AaxevQx//11e+1Qt24fvk9FgQQ7TGzj7X0W8H7wIw8YYVaDbFbVo0UKfSp4GDRroU0Rkx8AzERGlOXseNau1mjb3sF5JFbB79yk12GB6kNGoz507px67IyIiIuf0S5RV9XZetMyE/AX0SiJKFumhLINxDhlhxJrNJtVbuVETIzZtBF7zjcXwgS1w7t+m8DIUQ9wszV4GK7IZzcigvV6z3MENyzbEHPlFf9c1lShRQr0md2DxChUqqFcZZDCx3tIVK1bUp4jcGwPPRESUpiTofOTIERw7ZtCmi2o1DxtgxAqDIX0GIFm/fj2+/PJLrFixQq8hIiIiZ7Nvr1X1ypwTblK9N4koZeTNZ0vLETrbiF0HYuFTZozWdgcyabtZdlMsshrN2rRFBZxvWY24ZjHBbLU9yZhe7feUItcBYvjw4erVEemccr+448HYv+N+ch0k+vaVMW6I3B8Dz0RElKakIVqsWDG88kpRbVoaZGbbGw79iyefzIrs2XPo82lD8jpLQ1OCzszrTERE5JxOnwL8/czqkf5X6zLoTJRaMmb0Rt162ZAp+wpcs1zEZbOXCjYLA+Lmg76OzJkvomDBIvq8c5K2/tixYx0GhyWg3Lt3b5U2o2XLlnrtPTExMciTJw/y5cuH5cuX67U20lN6+vTpavqzzz57IDgtnw0LC1O9nR19N5E7YuCZiIjSnNFohK9vTRgM87W5BwcvuWcJXnutBEqVel6fT33SEJW8zvPmzWPQmYiIyElduwq0bGpGQBsj2nXiZS1RaitTpgIKFz6oTf2p5mOtBhV8vqOVDAb7mC3HUaDANjRp8mg5ktOKtPWl1KxZEw0bNlTBYAlCy2uVKlVUig25FnBk0aJFd9NoTJ48Wb3GFRgYqMrRo0fVd0uwWcj3BwQEqO9O7IlK+czMmTPVtAxynlDvaSJXwDM0ERGlOen1/M4776BgwVXa3Chb5QMG44knlqNevYrInTufXpe6khJ0lt4R9gYkERERpY+gTmY8XQwqHy0Rpb46dRqialXpMDJOK3tVnZAAtOR5BnYhQ4aueOWVJ/H88+VsbzqpMWPG3B0IUAK7rVq1Ur2c165di2+++UYFoBO6FpCBByV4nDt3bvTs2VOvjW/KlCn4+uuv1bQsK9c+8v1vvfVWok9UyrLymUOHDuk1UAFyqWcAmlwRz9JERJQufHx8EBm5BE899Z02V18rkkNts1a+0UotrUE2H999NxF169bT5lOfBJ39/f1VA3Lfvn2qYRe3yKN0QUFBWLhw4d0BR4iIiCjtyUCCJ08AobMfNkAxEaWkrFmzYezYiejYsZA2Jz2au2tlKaxYDbN1P7wME9G5cxWEhk6TxZ1auXLlVABYxp6xl61bt6oBxX19ffWlHJPrgIMHD+L8+fNo1KiRXvug2rVrq++M+/3BwcGJPlEZ93e6vyT2uxE5IwaeiYgoXUi6jXLlymPRom+xYEEgeveOxQsvDMRbb21CRERfrXH2C1577TV96eSTnGrS28BOeionRILK0jiUngV+fn6qV8H9ReqnTZumNag7658iIiKitPbtbAsiwi2YG2FC1mx6JRGliXz5nsDHHw/CTz+Nx+jRpVG37nxUrToZjd44jwD/8RgzZrS2FPOtE9E9DDwTEVG6qlixMpo3b4whQ3rhyy8/xcSJA9GkyesoXrw4TCYvfankkXxqMuBHeHi4XmPL5SaPqN0fgJagswSV7bnaElOvXtr0wCYiIqL4flttxeAQCxYtMyF/Ab2SiNJUsWLFtbZ2PfTo0RFTp36MGTM+wahxFbH1j1xpPiA4ETk/Bp6JiChdSc/njBkzIWfO3Hj66eIoUKAwvLwy6O8+mvsfnYtb5BG3uOQROUfLJVSYZoOIiCjtHdhvRfsAM+aEm/BMafaoJEpP0laX1BuFCj2FIkWKomSpLHgyvwGbNjxs0HAi8kQMPBMRkdOIjY2F2WzW54iIiIiA06eAFo3NGDbGiFfrMuhM5Cyk3W5vuzdpbkDUcgaeiSg+Bp6JiIiIiIjIKV27CrT1N8M/wIh2nXj5SuSsGjY2YEkEA89EFB/P3EREREREROSUgjqZUagIMGQEL12JnNmL5WxPI+zby+AzEd3DszcRERERERE5naGDLDh5AgidbdJriMiZNfAzYNliBp6J6B4GnomIiIiIiMipzJ9jQfg8C+ZGmJA1m15JRE6taXMDli9l4JmI7mHgmYiIiIiIiJzG+t+tGNDXgohIE/IX0CuJyOlVrGLAsaNW9aQCEZFg4JmIiIiIiIicwoH9VrQPMGP2PBOee8GWM5aIXIOXF+DX1IhlSyx6DRF5OgaeiYiIiIiIKN2dPgW0bGbBoKFGvNaAQWciV9SgEdNtENE9DDyTR1u/fj0aNmyIsWPH6jUPJ8u3bNkSBoNBFR8fnyR/loiIiIiIHLt5E6qns19TA94N5GUqkauq28CAndutuHRRryAij8YzOnmksLAwVKpUCTVr1kRUVJRe+3DyGVk+PDxcrwEOHTqE/v37Y/DgwXoNERERERElV/dOZuTNBwwZwUtUIlfm7Q341jJgRSR7PRMRA8/kgaTXcpEiRTB06FC9JnHR0dEICgrCggULcPbsWVitVkRGRqJixYrq/blz56rANBERERERJc+IIRbEHARmzjGpHLFE5NqaNDdi+VLmeSYiBp7JA/n6+qrSqFGju4HjxIwaNQpr1qxRaTby5s2r6uTzcXs/r127Vp8iIiIiIqKkmD/HgnlaCVtiQtZseiURuTTJ0f7baqtKoUNEno2BZ/Jo9iByYkaOHIly5crpc/eUKFECDRo0UNO5c+dWr0RERERElLj1v1sxoK8FEZEm5C+gVxKRy5O0OS9VsAWficizeUzgWVIj3L59W58jV3fr1g2cPHkcV65c0mtSlwSYE/P666/rU0RERET0uNh+dy+XL1/EqVMncPPmDTV/YL9VDSY4e54Jz71gUHVE5D4aNTFg+VIGnok8nUcEnqXBumPHDqxevVqvIVd17txZbNmyEQsW/Ij+/Sdh+vR5OHhwn1b+py+Rts6dO6cGJ2zbtq1K30FEREREj+/WrVvYtm0bfvvtN72GXJHcPDhx4ig2blyHadPmYeDAyfj++6XYtvUAWja7jUFDjeqRfCJyP42bGhG5hHmeiTydRwSe//e//6F3794YM2aMXkOu6NixIxgw4GNUqVIXHTuG4bvvSiA4eDdeeqkZ6tZ9C6dP/6svmTYk6NywYUMEBARg2LBhei0RERERPa49e/agV69emDhxol5DrmjXru1o0aITatRohv79/8TXXxdG+/ZLUbvaOdy2RKFNByaAJXJXhYoATxc1YNMG9nom8mRuH3j+999/MW/ePBw9ehTZs2fXa8nV/PvvSXz66TDMmrUTBoMEmJdqJUgr03D16mocO9YSlSrVwsWLF2XxVBUTE4OwsDBUqVJF9cTJkyeP9vOP6e8SERER0eM4ceIEFixYgOPHjyNbNo4256p2745G165B2Lz5Ba39fkarmaGVXshi/BYWa2ns/XspWrQIgNXKHpFE7krSbUQy3QaRR3PrwLM8ovfrr7+qFBt169bFnTt39HfI1Sxe/D1mz96uNVojtcZpLr3WrohWQrSLlHfQpEnq51kuWbIkWrVqhUOHDqn5adOmaT+3CaKjo9U8ERERET2amzdvYtWqVVi3bh1q167N9rsL++STAdiypbLWfh+jtd9Nqs7baFEXoDcsMij3J1i5sgC6d39XvUdE7qdxMwMilzDwTOTJ3DrwvHXrVixatAgdO3ZE2bJlYTab9XeSxmBgvjFncOjQfvz++yltqqvWaM1jq3yAbMpv4dSp/1QuudQk3y9BZ+mJI0FocenSJXVxJOk3iOjR8bhLycHthcj9bNy4EcuWLVPt9zJlyiA2NlZ/J2l4XHAOGzasxpEjxbQp6dHsbavUxFoNuGYxwdZaL4zbt2vj7Flp5xORO7IPHLpvr+cFn3k+ShjXjWdx28DzwYMHVToEHx8f1XC9fv26/k7SSY9pCVZLzwspMkihxWJRgUdPK8LRdGoX8c8/R/G//0kKjRfVvGMGbfmncPRoEaxdu/aB70mo2Dl672GlePHiKrfz33//ja5du6rvuHDhAhYuXOhweU8sQl5ln7FPs6TfvuQKRdiPseL+9z21CK4Xx8VTz8lxiwTlpL1ib6uI5N5oJ3IW+/fvV22p5557Du+8884jtd9lP5Be0my/xz9nxJ1O7SL27o3G6dPSq7mQmreTwLNtCSGBh+L4669MWlt/r6px9H0pXeL+nLjTLCwJlbjbSdxpTy9x10Xc6fuLX1MDfvrRs47Dct6R8rD14onFvj48uQ2fUNvdnYPxBu0Pt/3vuxFppEr6A0mz8e233yJjxoyYPHmyGhVbHt1Litdeew2HDx+Gl5eXmpcNo1atWujcuTNKlCjhcY/9GY1GlT9Z/u4nnnji7kE0tcn/3Z9/bsWoUSuwdm1draaF7Q2HriBTphexZs0CFCxYUK97uPbt26tAdf/+/REYGKjXJs/58+fx6quv4sqVK4/1Pe5GtpnTp08jc+bMKr+6Gx5qHomcUOR4Ir3jCxcunGb7kiuQbUbyesoxRvZ9bjM2sl7kqQrZbp588kluM/eRbUb2JU/sOZEhQwYsXboUX3/9tbr5KduKkPO1tIOaN2+u5olcwbVr1zBp0iT1xOJXX32l9unPP/9cjachPaCTolq1ajh79uzdfUGCzvXq1UOnTp3UcSK5vaddnayHM2fOwNvbGzly5Eiz84f8vMjIRVr7fT8OHZI0Gi/b3tBkNFhg1A7XtyxGPQD9C8qVG4SwsK+RJUu2NPkdZduS7U3a7nLNwPPqPdL2+ueff1CkiKQyJDvZl06ePIlcuXKpaxu2UW1kvSQlRrBreyaM+iQXwn86rde4PznfyLWw7EvcXu6R46+03fPnz6/asZ62buQaV9o00nb/77//YDLZ0lDJfiRtHknp6o7cMvC8ePFifPnll+jevTtef/119Z84derUZAWeZeC4b775RvW4sB9AZSfxxAtbO7molQOonFTS0oULZzF8eCgmTJBeL6NtlQ5d0hq6eXDjRtJ7ejVs2BBRUVEYM2YMgoOD9drkke1DAthz5859rO9xR6dOndIuIrKoix26RwKIciH41FNP6TVkJwN1FihQQJ2U6R4JPMsdcWmk0T3ShJHBg4sWLeqx52dZB3GbcnIR2KFDB3UDvW3btnotkfMLDw/H/Pnz0aNHDxUslhu0X3zxRbICz+XKlUNkZOQDF/qe3H63dwJI67bYsWOH0LHjUPz6azNt7t5NMAk3ZzJakcFgwW2rEbcsK+BbMxhr1+7Rl0gbEniWc2uhQvF7ZHs6+3m1WDFJk0JxSbAsb968an+ie+IGnh+mZIFYrNvmhUIeck9D1oncrJA2KsUnxxg59krg2RM5arvLU/QVKlTAe++9p9e6F7dLtfHnn3+qR/Ty5cuneoZt2rQJW7ZsUQGwGzduqAHgjhw5oi/9cLIB2F+leHKjVaTX358zZy7t/zOLNrVdK8dV3YOuw2Tqidat39Hn046sF3uvgKefflq90j2evt8QpQTuR45xvdjWgb2dYm+3ELmanTt34scff1Rt9zx58mDz5s2q57METeVJxt27d6sbk0lhPy7Iq71Q2itQoDAyZ5ZHiDdq5ZKqExYYcMNixFWzSbsQvYAcXjXwRM7x0J82JnJaPJY8Hr+mRiyJ8JynC7i9JMzT1438/Z7Wdne7v1LuuB0/flyl2WjTpo3qifr+++9j5cqVqodhu3bt1KBwSRH3LgSlH6PRC336dMeoUY21ube1skXV33ND23kD8eqrJzFr1my9Lm3JQDgy0GDLli31GiIiSm08TxO5B0lbJr0J5Sk0ab9Le71Xr16qPS/tepmXjiXkOjJm9NauuWbhjTfOaHM9tBL/xoEFu2HJ2AZNW4bCO+NrKOcTi2mTLPCwbChEHqNREwOilrPdRuSJ3C7wXLVqVZVqQx7Lk9y9GzZsUI/ntWjRQvVKlQChBKLJtWTKlFn7f+uMr77qhgIFOmk1VbQSpJVXtJIHr712HsuXL4PRaMuRk9JmzJihijz2eT8ZxFK2NUnNQkRERETJU7NmTSxZsuRu+13a6zLftGlTdWNf5jmGhuvJnj2n1nafgP79iyFLlnpazeta6ayVF7Q2ew10714Oc74bgHkRJswJNyFyqRWVy5gxfw4D0ETu5tW6BuzcbsW5s3oFEXkMtws8S15QeURPHtWTYk+5kTVrVpW4W16zZcumL02uRP7v2rZtiS1bIhEZ+SnGjHkOS5f2x6lThxAW9p32f59JXzJp1q9fr3rWiJkzZyImJkZN30+Wk5w7UkqVKoVBgwapOilBQUEql7gMguPr66t/goiIiIiSStrvkjvV3n63T8s4EZIDUnKqsv3umuRa7OOPByA6ehnmzn0XEydWxO+/z9Da73/jk08+0pcCqtYwYNlqEybPMOLrmbYAdOQS9o4kchfe3rbg8y9R3K+JPI1HJBQxm81qUKarV6/qNeSqMmTIiKeeehr169dF9+4d8frr9ZA/fyF1syGpJGAseXWkd43doUOHVI8aR/mGJKA8cOBA9b4MsDhy5Eg0adIEw4cPV4PYHDhwALVr19aXJiIiIqLHxfa7+8icOQt8fErhrbeaoEuXd7S2dXU88UQBZMuWXV/iHt9aBqzaYMKwMUaM/tSCmhUYgCZyF42aGLH0B8/J80xENh4ReM6ZM6dKr5HU3M7k/Ly8vJA1azbtNfkjoUog2T6SqKPiyIgRI3Dw4MG7y0guwhUrVqjHPqVXDhERERGlHOlU0KdPH6YycyPydGKWLFmTNJiSX1MD1m03oUcfIwaHWNC4rhnrf2cAmsiVNfQzqP2Yg4kSeRaPCDxLio0nnngCxYoV02uIiIiIiMhZSftd0m0ULVpUryFPFNDGgC17TGjdzoCgTmYVgN4dzQA0kSvKmQt4qYIBq5lug8ijeETgmYiIiIiIiFyPlxfQur0RW/Z4wa+JAS38zGjjzwA0kStqpO3DUcu57xJ5EgaeiYiIiIiIyKnJ4GTdehkRfdALFSsb0KyBGUGdLIg5yCAWkato3NSIyCUWxMbqFUTk9hh4JiIiIiIiIpcgAejeIUbs2O+Fp4sC9XzN6BlowelT+gJE5LQKFQFKlDRg22beMCLyFAw8ExERERERkUuRfLH9PzZi4y4vZM0GVC4TiwF9GYAmcnb1Gxmw5AcGnok8BQPPRERERERE5JLyFwBGjbflgL510xaAHv2pBZcu6gsQkVNp6m9AVCQDz0SegoFnIiIiIiIicmkSgJ4w1Yg1m0w4dhR4uXQsxo2w4OZNfQEicgrPlDaoVw4QSuQZGHgmIiIiIiIit1DCx4DQ2UYsW23Crh1WlPOJxbRJDEATORPp9bxiGQPPRJ6AgWciIiIiIiJyK8+9YMC8CBMWRZqweqVVpeCYP8eC2Fh9ASJKNw0aGbCUeZ6JPAIDz0REREREROSWXixnUMHn0NkmzP9WAtBmLIkw6e8SUXqoWsOAM6etOHlCryAit8XAMxEREREREbk131oGlX5D8kBPnWhC84Z5ELmEPS6J0ksDPyOWRFj0uZR37tw55MmTBwaDLaf04woLC4OPjw/Wr1+v1yRMfvb06dPV8vLzpVSqVAkzZszQlyDyHAw8ExERERERkUd4ta4BK9ffRvfe1zD8Ywvq1TBj/e8MQBOltSbNDYhcmnr7Xps2bXDhwgV97tFIAHns2LEqgNyqVSscOnRIfydh8hk/Pz+MHj063vLbtm1D165dVQBaliHyFAw8ExERERERkUep2+AW1m03oWMXA3oGWtC4rhlbNzMATZRW5CmE3dFWnDurV6Qg6VkcFRWlzz26zZs3o3r16ujSpYtekzgJeMfExKB79+5Yt26dKmPGjEHu3LnV+xKAlveIPAUDz0RERERERORxvLyA1u2N2LLHhLdbG9DW34w2WpFgGBGlLm9v4LUGBkRFpmy6jejoaAwYMAABAQF6zaNr1KgRfH190alTJ73m4eRnS2/mffv2oV+/fuqzUoKDg7FmzZq7wefw8HC1LJEnYOCZiIiIiIiIPJYEoNt1MiL6oBd8XzGghZ8Zge3NiDnIADRRaqrfyJii6TYk6Ovv74/Q0FC8/PLLeu3jy5s3rz71cNLL+ssvv3S4fLly5dTvZXflyhV9isi9MfBMREREREREHk96YHbrJT2gvVC8pAH1fM0I6mTByRP6AkSUoho3NeC31VbcvKlXPCZJYVG/fn20bNlSr0lb0rNZAswJqVy5sj5F5DkYeCYiIiIiIiLS5cwF9P/YiB37vVC4CFCtfCwG9LXg9Cl9ASJKEVmzAZWqGLA66vF7PYeFhan8ycOGDdNrnE+JEiX0KaBQoUL6FJF7Y+CZiIiIiIiI6D4SgB401NYDWlQuE4sRQyy4dFHNElEKaNLc8NjpNiRfclBQECIiIpKcFiM92PM6N2jQIF4QmsidMfBMRERERERElID8BYBR4434Y5cX/jkBvFw6FqM/teDaVX0BInpkDf2MaoDB2Fi94hF07twZo0aNemiaC2cgOaDFRx99pF6JPAEDz0RERERERESJKFQECJ1txKr1Jhw+ZFUB6GmTLCmWn5bIE8l+VaKkAZs2PFqv50GDBqFkyZIIDAzUa5yTDHw4c+ZMDBw4EL6+vnotkftj4JmIiIiIiIgoiUr4GDBjjgmLIk1Yv9aKcj6xmD/n8XpsEnmy+o0eLd3G8uXLER4ejqlTp+o1zmv27NnInTs3+vTpo9cQeQYGnomIiIiIiIiS6cVyBsyLMCFsiQnzv7WichmzCkATUfL4BxgQuSR5+470IG7btq3T53UWktt59OjRKkju7L8rUUpj4JmIiIiIiIjoEb1UwYBlq02YPMOIb7+yomYFMyKXPN5gaUSeRJ4i8PIyYHd00vcb6UF84cIFlC9fHgaD4YESEhKiL4m7dWPHjtVr0o4EyP39/bFmzRoOKEgeiYFnIiIiIiIiosfkW8uAFb+b0P9joxp8UALQ639nAJooKWy9nt1rf5Ggc5s2bVSvbGcf+JAotTDwTERERERERJRC/JoasG67CR8ONKJnoAWN6zIATZSYuvWTF3gODg6G1WpNsIwZM0ZfEnfr5DNpRXpjS9BZfg8GncmTMfBMRERERERElMKa+huwZY8JrdsZVAC6jb85WakEiDxJ1RoGnDtnxbEjabuPSK/klCbf2atXr4cGndevX4+wsDB9jsh9MfBMRERERERE6SImJgZBQUHIkyePysEqrzKf0sEg+b4ZM2agYcOGKFKkCAoXLpxovlcJDMnyj5MX1ssLaN3eiI27TPB9xYAWfma0DzAj5iAD0ET3e62BMc3SbcixR443+fLlw/Lly/XaxyfHGj8/P3XsuHLlijqO3F8GDRqEJk2aoF69evqniNwXA89ERERERESU5qKjo1GxYkVMmzZNPZYu5FXmJWiTUsFnCRyXKlUKXbt2VYN7yaBkGzduTPCxe+mFWKlSJdSsWRNRUVF67ePx9ga69TIi+qAXKlY2oJ6vGUGdLAxAE8XR/G0DIpemzT6xaNGiu8edyZMnq9eExL35NGXKlASPTXJMk2PX9u3bMXDgQHUMcVRGjhyJ+vXrI2/evPonidwXA89ERERERESUpiRw4+/vj/79++PQoUMq/+quXbsQEBCg3t+2bRsGDx6sph+V/AwJAoWEhKBkyZLq54SGhqJBgwYoWrSovlR80htRekQPHTpUr0lZEoB+v68RO/Z74WntV3j9VTMG9LXg9Cl9ASIPJuk2JB3NubN6RSpq0aKFOi7kzp0bPXv21Gvjk4CzPIkhxxC78PBw1Utaji1xSQ/q2rVrq2NXUjRr1kyfInJvDDwTERERERFRmpJex8OHD1e9jqUXspBcqNLbWIJBYuXKler1UdiDztJjuVu3bti6devdn/Mwvr6+qjRq1Ej1xk4tOXMB/T82YsseLzVfuUwsBodYcOmimiXySHJjpqGfAVGRFr3m0cUdfNAROR4cPHgQ58+fV/u7Iw8bwHDFihX6UjbyffJd8t6dO3dw5MiRBz4Tt7Rs2VL/JJF7Y+CZiIiIiIiI0pT0Nkwo8NKlSxf1Kj0RH5UEnaXnofRull7OjyItHoOXAPSo8bYA9K2bwMulYzH6UwagyXPVqW9Ms3QbRJT6GHgmIiIiIiKiNJWU3sdvvfWWPpU88ni8/XH3Rw06p7X8BbTfe5IRq9abcOyorQf0tEkW3LypL0DkIRo3NWD971Zcu6pXEJFLY+CZiIiIiIiInMbChQtVmotOnTrpNUknKTZGjx6tpiXFRlIC3M6khI8BobON+Pk3E9avtaKcTyy+mmFBbKy+AJGby5oNeKmCAb+tZq9nInfAwDMROT0ZqCEoKOiBARySQwaKkYEhHuc7iIiIiCh1SZtPyABej5LqQnJHX7hwQU23bt0aM2bMQKVKlVQ7UIqk9/jjjz/U+85MAtDzIkxYFGnCyuVWVC5jxvw5DECTZ2j+tgFLf3j8PM9ElP4YeCYipyXBYrk4kAFmpk2bptcmn/R8adKkiT5HRERERM5E2mrLly9XHQSkzScB55MnT+rvJo/0lrbr3bu3ep04cSIWLFigelFLQLtevXpYsmSJes/ZvVjOgLAlJkyeYcT8b62oWcGMyCXsCUru7bUGRvwSZeWNFiI3wMAzETkl6eV8+fJl9OjR4+7I5o+qe/fud3u+EBEREZFzadOmDfz8/BAVFaXm5bVmzZoICwtT80klAWx7bmcZVHDr1q0IDAyEr6+v6sywYsUKFXwW0rNa2puuwreWActWmzBuslENPigBaAnMEbmjQkWAUs/acj0TkWtj4JmInJLk42vUqJG6UAgICNBrk08erzx06NDdiwwiIiIici4SED579iwiIyNVwNiuVatW6gm4pNq3b58+BdSpU0efukd6Ug8dOlSfAz777DN9ynVIAHrddhP6f2zE0IEWNK5rZnCO3FLd+gZELee2TeTqGHgmIqeXM2dOfSp5oqOjMWDAAHz55ZePlCOQiIiIiNKGtNWk04EEoSUtht2UKVP0qZQhPyNXrlxq2pV6PN/Pr6ktAN26nQE9Ay1o4WfG7mgG6ch9+AcYsCSCeZ6JXB0Dz0TkluRRS39/f4SGhqJcuXJ6LRERERE5O0mLYe/5fPHiRfWaktzpSbjW7Y3YssekBmOT4HMbfzMO7GcAmlyfDLDp7W3gDRUiF8fAMxG5pcGDB6uLCrlwISIiIiLX0qFDB30q6SRFmyfy8rIFoKMPesH3FQOaNTQjqJMFMQcZsCPXJr2el/7A7ZjIlXlE4PnatWuwWnmwIkpr3t7eqqQ1GYhm5cqVmDp1ql5DRERErkTa7+TZihQpol5l3I/ksPdmXrhwoXp9mAoVKuhT7kGa3d16GbFjvxeeLgrU8zUjuJcFp0/pCyTCYJAepmnfdidKSP1GBqxYxlgOkStz28Dz9evXsWvXLkRERGDWrFn4/vvv8eeff+L27dv6EkSUWk6fPok9e3Zg3bpVWLVqKXbv3o7Ll1P+MUlHJFefjFIu+z7zOhMREbkOCTbv3LlTBQzt7fc9e/aw/e6hNm7cqF4//PBD9Xo/SavmSN++fdXrtm3bEszhLANPi06dOqlXdyOxYxl8UALQebTmcOUysRjQ14JzZ/UF7iP72OHDB7B163qsXbtSlcOH/0ZsbKy+BFH6qFTFoO3rVvbeJ3Jhbhl4vnHjhhoROTg4GF988QXWrFmDGTNmoE+fPvj555/1pYgoNezYsQljx36Ndu3GoW3baWjc+DO0bz8eoaFfY9++P/WlUk9AQABGjRrFvM5EREQuRDqNLF26VLXf5Yklab/LOA0SRFy1apW+FLmT5cuXa23GsQ6DwzJA9OjRozFmzBiHPZ7ls/ny5UOePHke+LykWZP2oBg4cKB6jUs+e/jwYfTs2TPZvaldTc5ctgD0lj1ear56+ViM/tSCS3H6g8i+Fxm5VNvXQvH222O1NvwsNGgwXNsXp+GHH8JTJcc2UXI09DMiKpKBZyJX5ZaB561bt6qAs4+PDxYvXowlS5bg22+/RcmSJTF06FAcO3ZMX5KIUtLevdEYPPhzTJhwCzt3vo/LlxfCal2nTffAgAFbtTIOO3Zs1pdOeYMGDVL7eWBgoF5DRERErkB6t0qg+fnnn1cBaGm/f/PNNyhcuDCGDRuGf/75R1+S3IWfnx9CQkJU202eVpOA8Pr161Uwunbt2ujfv7+6EeHI5MmT1euFCxewaNEiNR2X3LyQlBvh4eHqu+29oyUdW9u2bdG5c2f1sx9GfpeoqCg1PXPmzAR7T7uC/AWAUeONWLvNC8eOAi+XjsUX4y24cuWOWu+9en2JH398CUeOjMWtWytw8+Zybb2+iHfeCcVXX81OsHc5UVpo0tyAJczzTOSy3DLwfObMGXX3+7333kOuXLlUneQIkx4TV69exe+//67qiCglWfHRR0Px88/VtGnpXVJdK5LqQnpYyPR87SKyNEaN+gwHDvxPm09ZcnEgFxfM60xEROR6Tp06hfz586vUBzly5FB1xYoVQ69evVSPy3Xr1qk6ch8LFiy4m4952rRpKhA9fPhwXLp0SaXJSCjoLKS3cu7cuVXQukWLFnrtPZJuTTojSY9pGfdDekdL/mK5mSE3OD7//HN9yQdJm1KWrVmzpl5jS80hP0vqXZkEoENnG7FqvQn7/rIFoLu/9w+OH/9Ie7e9VkprJatWsmmlI27fXoNBg+YjIuIH9VQxUXrwrWXAvr3WBFPFEJFzc7vAs9lsVg2YTz/9FKVLy4nznps3b6rXpDYYTCaTPkVEiVm0aL7WUM8Lq9Vfm0toUJLW+OOPYlr5RZ9POXKhIhcF9guL+4u9x4q82uvkwoKci/y/kGNcNw+yrxOum/i4PsjVSPu9Ro0aGDJkCJ555hm91ubWrVvqNanbtdHolv1q3JKkxJDgsAwCby8rVqzAiBEjEk2B0ahRI5w/fx4HDx586LISvJZl4n6//FyR0Dbl6+sb73e6v7iDEj4GjBx/EbUafIerl+sgu6kaMhos+rtxZdSuoUciLOxnXLt2Ra8jSlteXpJuw4DIJY62UefF9ljCuG7ic/f1YdBOnh7xzMJ///2HCRMmqN7Ocne9aNGi+juOVa1aFZ999pkKXsugCrKaMmXKhKxZs2oHPi+3aXQklTTipXEn60J6o8gFAtkOEBaLRaVvSWybcmeyTwQH98C0aT64elV6S+S2veHQR+jf/wJGjZqqtqOk7EuyLw4YMAD169dX+dsdkV4y0qMlOX777Td1oZuWZJuRi2h5MuPpp59W2w/ZyHHm6NGj6hgjx1tPO84mRNaL9PaTm6cFCxbk8fc+ss146vFXjifSA00GZJNjicxLT9F3330Xb7zxBtq0aaMvSeSa/v33X4wfP14FJ+fNm6eeYHyY8uXL4+uvv1bL2dsY3t7eqv0uHUo87bwif7Osw8yZMyNnzpxsc+jkvCpPwUrPavu24mmk7X7s2GF07DgQv/7aFiZDI3gbtPOI9t5Vy/2dry5p+1BFREcvR8mSpTxywEHZl+R6T3rSZ8mShfuSTvYlSXcjg1MWKFAgVfelH74HFi8CvtVenZ20x+7cuYOTJ0+qJ3e4vdwj28yRI0dQqFAhZMiQwePOy7JtyDWdtN1lf7G33bt166aespE0UO7IIwLP0rD48ccfMW7cOLRv3/7uSMcP89prr+HEiRNqZxByMJUNoWPHjihevLg6kHgSe+BD/u4nnniCB884ZBeSvIOJXQy5M7mg6d69PX76KQC3br2t1WSxveHQRDRtuh4TJozR9q9MSdqWpk+frgaYeeWVV1S+9kfRrl07rF279rG+IyXIyUUCz2fPnlXbDPele2TdyL4kx5iMGTMy8KyT9XL58mW13Tz55JPcZuKwH38lB6ysJ08jbZRly5apY5pc+Mm5WtaD3GyXtEPNmzfXlyRyPVeuXMH333+vxm2R9Bvvv/++/k7CqlWrpoKJ9qcWpf1et25d1X6Xi1xPC5jJMUFudEvwPXv27Dyv6uQ4KRf9so3JDV1PPK9K4PnIkUPavjUE//vfeK3mZVUvzws4XhsvaPvjUFSqVEFbf573VIHsSxJElDSect3DfckmLWME168ZUN+3AFauP4UsWZ1//cv55vTp0+p6j9vLPXL8lTibdDSS45CnkWtcyas/Z84cFQ+Q9oqsE5mWznatW7fWl3Qvbh94lov1hQsXYuLEiWjSpAlGjhypv/NwlStXVoNPuPtIx8khDXk5qUgqA4rPk3vc2Q0bNhDjx+fQthO5S/ewbWQQevY8hkmTvtPnEyeDzMgAMA0aNFCPSD6Khg0bqjQbj/MdKUUuhOVC0JNvViTk+PHjqseE/aYf2cjFsfRslcAzxcfj74Okx3OdOnXUAFpErkjanPPnz1e5eCV/r6TgSIqyZcti9erVKgBCNtLekECZBJ7pnuvXr6vtTALPnurUqX8QGPgxli6tp83Z0o8kLId2vo3G008X1+c9jwSeZRwpuZFD96RljKCFnxkduxjh19T5OxtIb1bpHCFPuFJ8cr0nx15PDDwnpHv37uqpLRmnzh259e1KaWhNmjRJBZ3l4iupQWchdx0kOET3yD0K3q17ENeLzVtvtdYaY2u0qYeNOr8LpUrdQM2a0sD1XNxmEsZ14xjXi2P29cJ1Ex97xZMrk0EGJb2GDDbXoUOHJAedBdvvD+Ix0jGuFyB37rxa+72BNpVYZ5Dv0Ly5P7Jl8+ybF9xmHEvL9dKkuQFLf3CNNg63l4Rx3TzI3VM+uW3gWfLGSEP1hx9+QL9+/dC/f3/9HSJKDQULPoWSJa/BaJTH9Y7ZKuM5rZVPUL78Pvj61rdVJUFMTAxmzpyppqXHMgcEJCIick8ySPDgwYPVY6gytkNS0uMR0aPJkCEjihcviLx592pzE22VD9iklU5o2bIhsmXLYasiSicN/IxYEWmFB6YZJ3Jpbhl4lsdgJk+ejN27d2PMmDEqrzMRpS4ZtGbhwp9Qr570eO6ilXFaOaUVyYe+VCu1tUarUds3v1KpFJJCei6VLFlSXYjaSa51qWcAmoiIyH3Io7eff/45Dhw4oFJstWrVSn+HiFKD5OetWrU6fvppPvLkkY4jXbWyQL0HnNDKaK1U09r389G06ZsqNylResqvXUI+94J2Hfg7e8sSuRK3DDz/8ssvqqdEuXLlVLJuyecq5eeff8bKlSuxf/9+fUkiSkm5cuXG7Nlz8P3376FXrzPIl6+y1qjNjcaN5+CHH0Zi2rTZKFAg6bn07I/hOCq+vr76UkkjxwD5XHrndyYiIqIHyfl51apVqv1uP1/b2+9SLwFpIkpZcq1cqVIl/PprJCZNKgt//2VarZfWXn8FH354Cbt27UKzZs0YdCan0aCRAcuXMvBM5ErcLvAsvZ2jo6PVqJDSWA0KCkLPnj3vFkm78dNPP+lLE1FKK1SoMN58synGjh2BP/5YjaNH9+H77+fijTcaq8A0ERERUVwywr08qSjt98jIyAfa78HBwSoATUQpz8srA8qWfRHdunXGnDkztWvp7fjf/3Zi+PAhasBODgBGzqSpvwHLlnAsCyJX4naB5/z58+OTTz7Bvn37sHnzZvU4/oYNG1TZuHGjGulaGrNElDokDYY0UKVnRI4cOVWwWUZTZ6OViIiIHJHR7UeMGJFg+116PHfu3FlfmohSmsFgVDmfs2bNqtru0obPlMlbteuJnEkJHwOyZTNg53b2eiZyFW4XeJbHhbJnz44nnngC+fLlU69xi9TJCZWIUp/FYlGPyxIRERElhO13Iucg7XZpvxM5M+n1zHQbRK7DLXM8ExERERERERGRe6nfyIBlixl4JnIVDDwTEREREREREZHTq1TFgEuXrIg5yOAzkStg4JmIiIiIiIiIiFxC46ZGRC5h4JnIFTDwTERERERERERELqFREwMimeeZyCUw8ExERERERERERC7Bt5YB+/Zace6sXkFETouBZyIiIiIiIiIicgleXkBDPwMil1j0GiJyVgw8ExERpbKYmBgEBQWhYcOGek3SyPIGgwE5c+ZEgQIF1LS9yHcSEREREXmiRk2MWM50G0ROj4FnIiKiVLJ+/Xq0bNkSJUuWxLRp0/TapJHPRkVF6XPxdevWDSVKlNDniIiIiIg8y2sNDPhjgxXXruoVROSUGHgmIiJKBdIj+fLly+jRo4cKPCfX8OHDERAQgDFjxmDo0KEYPHiwmpYSGBioL0VERERE5HmyZgOq1TDglyj2eiZyZgw8ExERpQLpkdyoUSP4+vqqAHJySG/nLVu2YOrUqQgODsYHH3yA7t27q2kp5cqV05ckIiIiIvJMjZoYsHwp8zwTOTMGnomIiFKZ5GhODunt3L9/f+TNm1evISIiIiKiuPyaGrEi0orYWL2CiJwOA89EREROxJ7bOSQkRA0uOGPGDBw5ckR/l4iIiIiIRN58wHMvGLD+d6bbIHJWDDwTERE5cPXqZe3ftG/ESm9nOwlAd+3aVaXWGDVqFM6dO6e/Q0REREREfk0MWPqDFbdv38SNG9f0WiJyFgw8ExER6S5duoQ//9yGBQvmYsKEmZgz51ts3vwbzpw5pS+RuiSwXKdOHXTr1g0NGjTQa20mTZqkekAz+ExEREREBNy5cwcvvnQEiyOuYfLkGZgy5WusW7cSf/+9T1+CiNIbA89ERESaW7du4uuvv0TnzuPQunU4hgzZjw4dluLtt0djzJipOHBgr75k6pGczjJ4YGhoKFasWIGzZ89iwYIFyJUrl3p/27ZtKvhMREREROTJrFYr1q5dg88mDMG5c/+hf/B/Wjt6J5o0GYN+/SZi9eqf9SWJKD0x8ExERB7PYrFg9uxZGDLkF2zd+pZW85NWvtRKBI4dG44JE/7G4MHjcOTIQVk8zUggumXLlti5c6dKtyEk+Dx27Fg1TURERETkidav/x0ffTQbkZGFcNtSCBkMn2q1s3Hx4ndYsqQY3ntvKNat+822MBGlGwaeiYjI4/3xxzoMHfodLl+eqM21sFXeVVErU/D993cwefLntqo0lidPHoSFhaFiRfldgIULF6pXIiIiIiJPc/z4YUyZMhebNj0Lg2EM7lgzIYPBPjZLIa0MwOHD76Fz50BbFRGlGwaeiYjI44WHz8G1a520KWmoOpJPK29i9+5YHDiwx1aVxnLnzo2JEyUwbuv1TERERETkibZt24BNmzJoU+1gtQJmq0GbtsJ4d2BwmW+GM2eex6pVTLlBlJ4YeCYiIo+3fHkkrl2T3sQ5bBUOlcWBAzm0Ru5afT7t+fr6qgA0EREREZGn2r17F44du65N+dgqNLFWY5xez8IbN282wOLFEfo8EaUHBp6JiMijXb58CRkzFtWmLLaKBN1ChgxWeHtn1ufTR+XKlVGyZEl9joiIiIjIc1gssbh+PaM2JU8k3nPHaoBXvMCzBQbDdWTLlk2fJ6L0wMAzERF5tBw5cqJ27WeRJct2be6KrdKhAyha9DpeeKG8Pp8+tmzZgi5duuhzRERERESew2j0QuXKpVG4sLTb7w38HavSbcR1HZkybcErr9TW54koPTDwTEREHq9q1drImfNXbeqorcKh/6FYsdt47rkX9fm0N2PGDPXaqZPkoyYiIiIi8jzFiz+L5583a1MrbRW6axaTPiXOI2vWP1GjRk19nojSAwPPRETk8Zo1exsVKpyDl9dIbc7ec0Ie1bOn35iG0qUj0bhxfdXLIrWMHTsWefLkUa/3W716NcaNG4c1a9Ygb968ei0RERERkWcpW7Yi/PyeRebMX2pzi22Vqt1uT7XxN7Jnb4/27ZsgV648eh0RpQcGnomIyONlz54NCxYsQaNGF2E0vqnVBGllqVbma6UuSpeehbFjg/Hmm29p88kTExODmTNnqumoqCisX79eTTuyY8cOXLhwASEhIfDx8cGgQYNUEPrVV19V0xEREShXrpy+NBERERGR5zGZTOjRoy/GjeuATJm6azXSRp+llSitdNXa9g3Qq1c9jBgxWpsnovTEwDMREZFGBh6ZPv1LbNgwC1988QL8/L5Cy5YrsHRpb2ze/BveeKOpvmTSGQwGNRDgoUOH9BqgZs2aqt5RAHrkyJEICAhQ0/KZadOmqWD0+++/j02bNjHoTERERESkkeBzu3YdtXb6cixY0AKdOu1A3bqfY/LkF/G//23Ap58O15ckovTEwDMREZGuQIGCqFy5Mrp2DURERDi++WY2GjV6HTly5NCXSB6r1Zpg8fX11Ze6p0SJEggLC7u7zPnz59W8v7+/vgQREREREYns2bOjbNmyeOutFggN/QLLli1Gt26BKFiwoOroQUTpj4FnIiIinTRQjUYjvLy8kCmTt1Yyqd4URERERETkfKT9Lu31jBkzwtvbW7Xjich5MPBMRERERERERERERCmKgWciIiIiIiIiIiIiSlEMPBMRERERERERERFRimLgmYiIiIiIiIiIiIhSFAPPRERERERERERERJSiGHgmIiIiIiIiIiIiohTFwDMRERERERERERERpSgGnomIiIiIiIiIiIgoRTHwTEREREREREREREQpioFnIiIiIiIiIiIiIkpRDDwTERERERERERERUYpi4JmIiIiIiIiIiIiIUhQDz5RkRqMRJpNJn6O4MmTIoE9RXF5eXmq7ofgMBgO3mQTIepH1Q/HJfiT7E8XHfYmI6OGk7c622IN4Xk0Yz6uOyfbCNuqD5BjDGIFj3Jcc477keTyiFXLt2jV9ih7H+fPncerUKX2O7CwWCw4ePKjPUVz//PMPLl68qM+R3c2bN3H48GF9juKS9XLr1i19juwuXLiAkydP6nNkZ7Va1fFXXonIvbD9njLk3MG22IOuXLmC48eP63NkZz+v0oOOHj2K69ev63Nkd+7cOcYIHLhz5w5iYmL0OYpL1ousH/Icbht4vn37NqKjo/H1119j0qRJCA8Px19//aW/S49i+/bt+PXXX/U5souNjcWXX36pz1FckZGR3O8cOHPmDObNm6fPUVzfffedasBSfLt370ZUVJQ+R3Zy40+Ov/JKRK5Pbjzu2rULs2fPxuTJk7Fw4UL873//09+lR7FixQrs2bNHnyM7CXz8+OOP+hzZmc1mdV7lDd0Hff/99zhx4oQ+R3Y7duzA6tWr9Tmyu3z5Mr755ht9juKaM2eOWj/kOdwy8Cwnyk2bNmH48OEquCONra+++krNs/H66OQu7/79+/U5spOAx7p16/Q5ikuCZf/++68+R3bSy2bz5s36HMUlx+6rV6/qc2QnTw/s3btXnyM7Od/L8ZcXyESuT/bjDRs2YNiwYQgLC1NtiFmzZmHkyJHsgfkY5DqIT8w86L///sPOnTv1ObLjdU3Ctm3bpp5Ao/iOHTvGGIED8oTrxo0b9TmKS9bLjRs39DnyBG4ZeJY72HIXRe7YSuB5/vz5GD16tHrMbOzYsfpSlFySu4m50BzLlCmTPkVxSV4r5vx6kOQV5DbjWMaMGZmL0gEefx2T/HDcl4jcw4EDB1T7XY51CxYsUO136TRy+vRpjB8/Xl+KkottMcdknUibgx7E86pjbKM6xjaqY9JG5THGMTnGMMezZ3HLI+e+fftU4/Xtt99G/vz5VV3ZsmXx7rvvql6GScmtKnd7mQw+Pjmp8GT7IJ5QEibbCy92HsTGWcKkEcL18yAefx2zH194vo5P9iP2AidXIz2cjxw5otrv+fLlU3Uvv/wy2rZtq56GkV51iWH7/UFyPGBb7EGyThj4eJD9uobr5kFsozrGNqpjci7ifpQwnqvjk23FndvuBu2Pc7u/bubMmeoRPcnt/OKLL+q1tkGrXn/9dQwdOhQBAQF6rWOvvvoqPvzwQ5QsWVLl8PV0WbNmVY87yuPen376qUoVQLYDhDxGI9vT4sWL9VoS2bNnR69evVC9enX4+/vzcRqdnGTlsddRo0apXHEcpOSezJkzo0WLFuoY/cwzz/DYq8uSJYvq+ffnn39i3LhxPP7GIU82NW/eHBEREbwY1GXLlg0hISHquJtYW4fImXzxxRdYtmwZJk6ciOeff16vhRorQs4NkoJDtuuHqVKlijq/SscT5n63tcX69u2LChUqqIA+22I20tvul19+wQ8//KCub5ji6x4ZJ0m2Fcl/zaDZPXJufeedd/Dee++hatWqaj2RrY0qOflloE45RrONaiPBeMkH/sEHH6gYAQdOv8fb2xvNmjVT5/oiRYqotrynk+PL4MGDUa9ePbRv316vdS9uF3iWQakmTJigLtBlUJLixYvr70D1ovDz81Mnjf79++u1jsmO8NNPP6kGGk+6trx7cpCQu5kSKOM6uUfWhTTsmSA/Ptlm5CAqI9aycRafNEakoSbbDPel+GRfkmMMGyHxyUWybDfXrl3jNhOH/fgrFzpueB/9kcgNGx8fHwQHB6N8+fJ6LZFzO3v2rEqLJ+nypA1etGhR/R2o3KESeO7YsaMKoj6MfIcMpicX+TxW2tpi0nlEjgtsi8UnHQGkd68Enbmt3GM/r/K6Jj7Zl2S9SIcjdoy4xx4jYBv1QRI3kWth7ksPkn1JthfeILaRY0qJEiVUx9eKFSvqte7F7QLP58+fV3ng5HG9KVOm4Omnn9bfsQWe33jjDbRq1QoDBw7Ua4mIiIjcjzTxeBFIrkACz2PGjFFPJ37++eeqF5SdBJ7feusttGvXDv369dNriYiIiNyLu7bd3ToZj6OYupvF2YmIiIgcYtCZXIV9W5V2ekJtdW7PRERE5M7cta3jdoFneWxKHveQx7QdPQYj3fnlfSIiIiIiSn8Pa79LIFra75JyiIiIiIhci9sFniVfjAwIKLmZ78+nI3XSeC1TpoxeQ0RERERE6SlHjhxqXBbJ8X//4FT28VZeeOEFvYaIiIiIXIVbptooUKCA6jnxxx9/6DVQA0esXr1aJXiXkZ2JiIiIiMg5FCpUSAWYt2zZotdAdSJZs2YNcubMiZdfflmvJSIiIiJX4ZaBZ+nRLI3TBQsWYP369arut99+w9y5c9GwYUPkzZtX1RERERERUforX748XnzxRcybNw+bNm1STylKp5GFCxeq9nuuXLn0JYmIiIjIVRi0Rp1bjrYXExOD8ePHY/ny5Xfzxvn5+eGTTz5hjjgiIiIiIifz999/47PPPsPKlSvh5eWFrFmzomnTphg0aBAyZsyoL0VERERErsJtA8/yZ92+fRt37txR8/LongSg2WglIiIiInI+bL8TERERuRe3DTwTERERERERERERUfpwyxzPRERERERERERERJR+GHgmIiIiIiIiIiIiohTFwLMDR44cwc2bN/U5srt69apaN7GxsXoNxWU2m3H06FGVn5Bsrl+/jpMnT8Jiseg1JNvH4cOHuZ3ozp07hytXriS4Pk6dOoVLly7pc57j2rVruHDhwt08p/eTferQoUNqH/Mksp2cPXtWrZ+HkeVOnDiBW7du6TXu7+LFi2pfkXORI1L/77//etw2Q55DBhZP6Jjpyf777z91PCTH5Jj4zz//6HMkZJs5ffq0Pkfi+PHjHtkedURiAg9ro0p749ixY/qc55AYibRRb9y4odc8SNrusu48jawX2W4Su/6Vdqos5ynkmCLt94Tia3K9J+skseseV8Acz3GsXr0a06dPV40zGcikUqVK+PDDD1GwYEF9Cc+0fft2fP3114iOjlYDvuTOnRsNGjRAp06dkCNHDn0pGjduHH777TdERETA29tbr/VMsg/NnDkT69evVw36PHnyoFWrVvD390eWLFn0pTzL+fPnMWvWLPz888+qQSLrpE6dOujXr5++hOeRG3wdOnRAly5d8Morr8DLy0t/B9ixY4c6Hu/evVsNLlWmTBl0794d5cqV05dwb1988YVqjLz33nvInz+/XgvVkJf1snHjRrUdZcuWTZ2revfuHW85dyV/f3BwsCovv/yyXvugr776CgsXLsTkyZNRqlQpvda9yTYg+4ccZ7Nnz67X2o498+fPx08//aS2KXmvfv366Ny5szqfE7m6qKgodVyUi7NMmTKhWrVq6hgh51lPJutF9v2DBw+qQNATTzyB1q1b48033/T4dqqd3NweNWqUWj9TpkzRaz2XtC2k/SFBVlGyZMn/t3dnP/dfYx/H96NH4oCEiJjnqUjNQqVtSoISYigxVHCgQpGSmKlSVExFiISkVWJuDTVEhdCgaFQaYx3iRBz5Cx6v1fvL7n7uX1vNfg7u73q/k53e9753D/b3t9a1rvW5PutaI089/vjjRy42I+bRhRdeOMxXt7jFLTb3ve99N6973etGXjorH/zgB4dQ9tKXvnTElQX5xkUXXbT5+te/PnJ8GsoznvGMkevPwC9+8YvNpz71qbH+3P/+9z94dzP0k0984hNjLBGdXZZ773vfe8ytBzzgAQefWi+0gJe85CVjH/e4xz1uc9xxxx385foYN/L3s88+e3PyyScfvLtu3vjGN444e/rpp29ufetbH7x7nZnkC1/4wngmcnf7vSc+8YljX3hUc5sczwdcc801m3PPPXf8w7/vfe/bvPa1rx1C64c+9KHN3//+94NPzcevfvWrzQc+8IGxkAgCH/7wh4dYZhL4Oa5Dova5z31uc+21107vZBUczSXzR0IiOZGwEl0vueSSg0/NBVcvIf473/nO5rnPfe7mIx/5yOYpT3nK5tJLLx3xZkYsqGedddaIMRzP20juzzvvvPHz29/+9vEyrsSc3/3ud+P9NfOZz3xmzBcb4m33Kqe8eKwYqPBnHL3gBS/Y/PKXv9y89a1vHYntmiGeWJv/8Ic/3KCbxN/F46uvvnr1zwTcEO985zuHsCzWbJ8w8Zxsgr7xjW+MmGMOPelJTxqfJS5EHGXkW+Lhu971rpFnMADY2F555ZUjf7fOzMr3vve9Md8ZRN72treNZ3O/+91vCPRf+tKXDj41N+LjZZddNgwjTufNjHXjN7/5zeZNb3rT5ja3uc3m3e9+9+bNb37zcCl6jwN6Ruzv5OkK++KMuUQ49PMf//jHg0/NhZyCIY0jfjtHlctffPHFm29/+9sjN7X/e/SjHz0+S0BbO9adt7zlLePkzXbuKc7It8TdJz/5yeO5EJzNKQL12k+jyEtf9apXDUPR7n5vG8YShVJzbg3u3htD/vKe97xnaCPi7HburmhjH2htYva0lp922mljbl1wwQUHnzp6JDwfYKN/y1vecnPmmWduTjrppM0zn/nMzRlnnLG54oorNr/97W8PPjUfhDIOEgsIh8RjH/vY8YxsXDnEJSmzI6BK0O5yl7sMp/zsfPnLXx4C/Itf/OLNC1/4wlHZfM1rXrO54x3vuPnpT3865UbQYmpz/KhHPWrMH24sDvBTTz11881vfnOIqrMgGbNwcltK2jlodl00Eg/j5EUvetFI0sQbRQwbQ6cK1srvf//7zRve8Ibx/bkDOMC3n41ijlMEz372s8ezMY64117xileM973WiPlhM0N0dhyaU+JYzisOHImckxXcAWvHRseJAfPCd991kfzoRz/a/OQnPxkOZ4KcMWMucZJ4f3axJY42Nm7yd+Kq8f34xz9+uIbkHpxlcpFZETPFQU5Da6hnQ+Tgsvv+978/Cpmzw534+c9/fpiOOFlnhtDDaWgvTFy1RihWykkU/J0+2xYZZ0Ec4U5V7H/CE54w5pL8VV5/1VVXHXxqDughnN4EVGLqbo7KxPeDH/xg5BnykhNPPHHEYqfTmAHWagRgEiEsv+Md7xiawO5z+ec//znmlj2fcWRf/LSnPW18/s9//vPmhz/84SrbwvlO9rjmi7XYMzlW7g5mGsL0bW972xv83BpgGKIHXH755aNdze6+Rn4urzdmmLSW3N3v/nZUW0MlPB9AYLag3PnOdz54ZzOciY6iqdAIGjPi+IejEQb8ggTfIkIM4EycGdUplSfPRDKy9kB5UxBEH/7whw9n/IJ5xR3w8pe/fMrjnSqXkjTi+zJGOEoUK8yjGVyZC05PnH/++eP4HWf8dnuNBdXuE0444XrHz1R873GPe4zEVjFsjUhMifGEZK1Hdu8acJxxEeMXzCdJrMRFArtGPBMuvYc+9KHDeXVD80Xy71k4jqalxJpPoBCaOeAl95xpd7/73f9PjzjJraN7jrouc017jVe/+tVj/tUuK44yhDAFbevDdls8BTlrrfx9BufULnJTRhH5+/Y6evvb3360HiKUeM2MEzSMEtomLGvozOipai/MdCVXXZCLcKw+8IEPnHKPI2eVS1hfF/zsWTAIbLsU1w4HJjcv9ypdYFcsdc8R4ZA4tmCf8/SnP338jXlijViDvvrVr44Cv32u/d42xshznvOcYTi61a1udfDuZvOIRzxi5PBy9zXGH45uJ23uete7jnzzhuKH9izWpFNOOWVzhzvcYdVFLvsSDmZzRWHPmrybuzOrKRwzfS6mRrm8ucfsuN2S4ygxvfDsH9+m1oLLBbCNPnE2aP4+o0tToBREDXoi2YKASvyxEN/tbnc7eHc+jB2uERUpgYMoNGNSto22NERBApEkQ5KiTQJHkjFETJxReL7Tne40FhZjxdxREddigpPCs7rd7W538Mn1w02jest5JXHdnTMSD89HbBGDtzHHHElb47E08Za7yDE9jmbfdTvxEm/07+Ve2xZYfIa4qFq+u4atBZtgxxKdnHjIQx5yzITUnNIGSuJPTOBgW7Pw7LspRBCdCe2S1O1NsKRWHFaw8b6jrhw2+l7bTBOmZnCFxzpZ8nfij/V1e+ybCzZmHHozXVK04Nksp6qsuQv2Mi62IkDb3M8KM5FWZ4oSnPLGy5rXihvDmmouKeoyjjgpo72EFk5atjgJLO+Y0RXuu8s5taviMpSjuj9i6dE7yzMRX7l05ahOhXOlbotljBJOURBW7Xm2MXb8/2sVnhVl9Oldcs/t5yKu6MdLMPS3bewHrV/G0RpPTMsvmRzk7495zGOOqZFoj6cISG/SmsV+Zs3xWLxVHDeXmBY9p+38Rc7C2GkfLL44YSB3Z3Qk5iuUHtXcPcfzv7CImAwSj10EAgnKTI7EBYOdWMgRtb2w/vjHPx5H5QURQuKsCAr6NGlDQjw8lhgyE4sT1ZE87k2LqiApSdOD1vszotr7vOc9b/ysXcBSsRRXiEYzFSzEE5V/LojD4qrihblks7zbNoBjU3IrUVsjTglox4Jd94MxItFQDN1+LjaL+ocTpQmJa0Pyaaxw7CrQKHweNl+IrBwV3ODLRZXbidwaMQ44iRZH4+73VcDhSHIk2HFyYoLelNpkKQg6EhtxVBEb5O/y08Pyd8KQE0W7TqIZEBuIHZ7Ldry0gdXSSdsNBalZUfTnUtQSjugz4x5vG3PEXLKGMNRwOFs/FCk4FvVLX/t6eiyIrNqOMNAQ0eTvxHgtJOyDZ8LJcC5dyFG3YwuxTGGLYWTXNOJz4rSC99qwDsnB5J5y9N0c1c+eh/x1W1y2NjmxxlihuLH7zNaA4q/9nlPP9m6Hiclij/Z4TCXMjtastesp5oIijnspsPt9zRPPS8FL60W5urklhydAi9FHlYTnf7EECP/dDhbY/X129CH65Cc/OaqXbtWc9flYYB39VtXVcweLGHRY64BZsID4/hL6e97znqPHF2crcd5RIo67GdvWWEQcm7ERVs3l9FUhN2a4NGdiO2bcUEX7sNiyvHdD/99RZbu4d1PRd9GmkLio7962s20t7I6DY605H//4x0fiLh6bVz7nteZ4fGNjRjLrWXB9ehb67Bkn1m5/+/SnPz315clx9FniwWFx4bD3ZsWaKf/64he/OPIPzrJZcTfNd7/73VGoVexdBLSZx4vxIX8nwMvfn/WsZ42WX69//euHu+7CCy/c/PznP1+9IHQY7lFwiR63qjFDeCWkKfrPdEfCTclRl3l02GfXOr9uzveyJyS2KgIyIzEnrZGb8mwYZ5w8UcjZbh+xaCpr5Kbk7j5jfPhZ7n722WcPTQVOk4tJR5H/fqe7QpYBoJq7K2isUeC4OUjMHGHW+N0xGmKi27FnRBWK49tFXvrnEaEFANVL40UiQlydcexYZARJ/c9UOR/84AcPV43j4JwBxFdi2Wy4CMCmj5vV0UWuCb1qbXoIhxL6uI7teLyLOeW11gT2v8Hm0FFYpwyMJQWNGTEetLCxPklcwdXrZQwRViW1M26Y4Xu7jf+pT33qiD+O7vmZi0sxcK0XUsYc3Nh6EdddGsetabPqZAzH5na7ppmwHjjSrVirtZWTMtZQp6jsc7gVZ+wJvqBQS1h1koZ5hAtRsVLOxSW+29N37djvydH917zxLLRUIMi7mNKFeWt08d4cjBEvcbd4fGz0yD7vvPPGvlD7OHPtxoTItUITcApHTuo0J+3kH//4x8hbF9fv7unPGVi0FC0XrVP2d3J3PysKOolyVHP36YVn/7gqTQLiYQuq6q/jajP2pV2QmF188cX/djq77VhriVkhMLtEQHDU80uPnnPOOWeI0QKFFgpcJQLmbJgr5pLNzfYFCtBTUHI/W79084fjkNuZy8h/4Vlpv2GxdfQ9roOTxOZHPN5NXiUgjrLpLz8rnsFll102jujZIGuZ4PjjrIg34q147DiaWKytj2TW+m3d4qjQ8mc2tLUxlxT/dnsu6u/q2c34XGIdLPm7deKw/N17u8ebZ8P8dhqEQMat6T6S7UvSZkO7N4KP3vfaSXge1lICCAF61hZE3IVyUgLYbhGbC9FaohXHbAVcF1ByNhPGnFJccGrAfGKk+ctf/nLw7twYJ/o+i7u7YqFcQ5y2D5yZq6++eojO4o3iBVOWdWxWvva1rw2zHiPNe9/73mGi+exnPzsEaAVCZkdtTWfDHlfeQmzedcPT4cyno3pacXrhGf5h9TK+9tprr1d1sqlXcbHYbF+uNxOq/8vxPBdOcGtu35A9I46zu8iJo1eyRmAlhgkSFhC/K1TMuJiYS4RUC8luzzxjybObTTS0QHiJLbtjwnvGyow9KI+FWCs5tTHcFhM8IycL9Pv1mhHPQG8vYqoEXwLrGOzMmFMnnnjiSOD1hlvisbYb/ibmeM3oKOGW4HbWq1PBdBuFUc+E2BBxFDG/FVWIYn/605+uN8eNd0Vup65mLVTavFsrLr/88tEj330SszqdF/RTddrDmmG8WCusGwp08nm/L+aAmbB/ude97jWeidxrF+uFIs5s6yixVJzxksdvs/TkPczdOyPmkD2gsbIrxrtnwvx62MMedvDOXBg72ia8//3vH8VAfXo5V2fnkY985OaMM84Y+xl7YWv1krv7XWxec8uNY+F5WKuX05vb0FKOcu6e8HwAx5ieX27WXFB1IZ5xb0pGZsQFCtzOHBKCg029qjcBSPBc6yVfN4RNjj47nM2OYC0vN4gLkCp0ntWMLnmLhUtrfv3rXw9XyYIj3frqucRlthYtxovvrJDFSbM4RiRnfpeQWXzjP5xyyiljDG33v/7Wt741bsx29JOgNiPcEnrLw+3ZKuFLPFb95q6fDTFHiw1OZ0m9WHz++eePPsYSWO7nM888c1qnjfYaElcnchYXkvHikmBCQrEnjjLmv5ZVToHIM2CTryetfEz+vsbe9zcFF4pqQSQnI7baz1gvvJwQOcwlvmaMC8YZvTK1qbJWWDOsF4Rop60IQi4JmxGiPGHQaSF56YK9sdzCpb2L2DoLxHjjwqVe8s8FTmgt8vzN6aG4Du1ZmEfE4yW+aC3hlLC/bbvGZ4KJ8YILLhgFUrk7I588bHkpks5YwHAK2Cn6JXcXl7UfYWCTw2tLadzMiJZH4q65tBj57PPk7kTn5SL6o8Zx/9qsnXPw89Q4hsoV4NiMYHnFFVdsvvKVr4yE1s2Tqi6zYbP60Y9+dIg/FlcVTELZz372s9FbxpE14qoK5+xIaB2d8XyI0jMf7TQeVHb1P7PYck8o4nAguUGcA2k2iM9c4HrRch9aPDhXJWMcq8YMt8BsiLUf+9jHxgkC4vzipiGoGj/mFMH+mmuuGZshY0uBRzV47RDaVbZPPfXU4QJQ5HPyxHPwfCQkxpB47JiaOK2osfbCjiRdPJGw7h5B20YMIrbqn8f1OwMuC1QklpAuhU+uCUViOY0YRHByvFER4/TTTx85TsRRhmCm/6w5b4NGJLK2nnbaaUNEnE0sg7l+7rnnjrmv6GZv47lYL8QCIr3C00wFOUWKw5CbMkoQW52cmRWFGmul1m/LXpi4qje4AuXLXvay6Qw13O/ih72dI/9OEWid55nIt1z6dfzxxx98ei4uvfTSIZYyiizmPIKhXJWe8re//W3sd7SkFJsJrjMIz1qzyM2dMlGUcFLRPBKPrVX0AXNMLF70FDFI7r5m7cB+Rtsna/J97nOfY56eUKiQu2v5M8sJ+4suumjk6u7CWgrlYjENxdq0zKVLLrlkc9VVV40T9/aGR5GE5wMkYDZsFhTikMqmCvgrX/nK8bcZIY7Z5BPNBAgTwEV6XkQPC45qsFdcJ9RL1DR/n/FoyILxQlxexA6CmN5fko5ZRQ7fn/PK3FmSDfOJg4T7Zrcf9iyIIS5J8BwU/5ZEhNDqBnFFC5tlmyAJCOfqLI55wgFRgANJIiIxVfyzCZLkExCXeEyc56DXgmTthR3fk2PPZueGnO/WKK+TTz55mlZZEvYHPehB19vAGDves/lRoBB7zDv95TnFjyXGRBwFjF9xUhHKqSr5uzhp3svf5SMzQkTlolOkJcb7eVkviGcENWvq7K03IDbK3+UdJ5100sG78yH/Uty3FzaXOOvkZ0RnF+rN2nKSsMxhSDz1TOgERKGzzjprCEWzrqF//etfR/w44YQT/i2Wbbdssf+78sorx8/Pf/7zh1lgBsRX4rt9jTnjpJl5pFAhZ93O3b3kqd53d9aahWdxlrYmxhLgjzVvlrugGCiYHmfAc5G3W5OXVk/mlNjD2Kg4IXf3DBlGnKo/qnHnf/71hbpmdAdBYVax+eZgCLV5jcOw4bHoziqsHgui/KztIm4K2zFFEsdlM2PfxYVibOwLm5xZe97G+mGYmLWtzs2hteX69Dz+g2K3075rFsP+WxhG7GdmPEVxc+DSnOGEYvz/UDz+D2vJ3ROeIyIiIiIiIiIiImKvdLlgREREREREREREROyVhOeIiIiIiIiIiIiI2CsJzxERERERERERERGxVxKeIyIiIiIiIiIiImKvJDxHRERERERERERExF5JeI6IiIiIiIiIiIiIvZLwHBERERERERERERF7JeE5IiIiIiIiIiIiIvZKwnNERERERERERERE7JWE54iIiIiIiIiIiIjYKwnPEREREREREREREbFXEp4jIiIiIiIiIiIiYq8kPEdERERERERERETEXkl4joiIiIiIiIiIiIi9kvAcEREREREREREREXsl4TkiIiIiIiIiIiIi9krCc0RERERERERERETslYTniIiIiIiIiIiIiNgrCc8RERERERERERERsVcSniMiIiIiIiIiIiJiryQ8R0RERERERERERMReSXiOiIiIiIiIiIiIiL2S8BwREREREREREREReyXhOSIiIiIiIiIiIiL2SsJzREREREREREREROyVhOeIiIiIiIiIiIiI2CsJzxERERERERERERGxVxKeIyIiIiIiIiIiImKvJDxHRERERERERERExF5JeI6IiIiIiIiIiIiIvZLwHBERERERERERERF7JeE5IiIiIiIiIiIiIvZKwnNERERERERERERE7JHN5n8B2ITnXsANf14AAAAASUVORK5CYII=\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = connect_grid(P,D)\r\n y = D;\r\nend","test_suite":"%%\r\nfiletext = fileread('connect_grid.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nP = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; ...\r\n 5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];\r\nassert(isequal(connect_grid(P,400),18394.83))\r\n%%\r\nP = [18 4;4 18;57 73;89 48;67 16;20 35;37 61;47 20;99 74;16 25;...\r\n86 92;65 27;38 77;20 19;43 29;49 10;13 58;59 69;23 55;39 43;...\r\n59 65;26 65;30 68;62 64;27 95;83 21;99 71;74 24;35 12;59 61;...\r\n11 46;91 46;88 67;82 78;27 36;60 67;3 42;43 85;32 84;17 26;...\r\n18 62;43 59;10 55;60 87;48 27;70 32;70 12;64 94;4 65;7 48;...\r\n32 64;54 55;66 65;41 55;82 73;72 53;97 100;54 22;33 11;11 11;...\r\n62 7;78 41;43 45;10 37;27 77;16 63;29 78;45 94;53 98;46 20;...\r\n88 14;52 70;95 10;64 53;96 54;25 87;68 49;29 40;68 68;70 75;...\r\n7 53;26 35;23 15;67 59;85 27;35 5;79 76;68 25;1 45;61 69;...\r\n39 36;92 74;1 40;47 69;43 71;47 45;78 2;33 34;79 43;48 28];\r\nassert(isequal(connect_grid(P,278),181163.75))\r\n%%\r\nP = [43 99;89 52;40 89;77 59;40 16;81 20;76 41;38 75;22 83;80 79;...\r\n95 32;33 54;68 9;44 12;84 14;77 68;17 50;87 19];\r\nassert(isequal(connect_grid(P,546),144787.59))\r\n%%\r\nP = [50 52;49 100;55 50;49 54;28 33;52 61;42 49;45 50;62 41;50 29;...\r\n44 34;54 56;31 68;42 60;73 40;37 61;50 40;48 40;53 61;48 45;...\r\n48 57;66 73;59 45;46 50;41 67;37 47;27 49;30 41;60 57;53 53;...\r\n43 31;49 65;44 76;49 62;65 48;33 56;46 28;37 52;77 53;26 46;...\r\n53 76;43 52;41 52;47 57;67 51;51 67;63 57;54 78;58 43;49 21;...\r\n36 46];\r\nassert(isequal(connect_grid(P,736),193054.63))\r\n%%\r\nP = [67 33;48 32;54 22;58 58;70 56;25 45;52 36;50 46;48 78;47 41];\r\nassert(isequal(connect_grid(P,330),38552.89))\r\n%%\r\nP = [45 47;59 25];\r\nassert(isequal(connect_grid(P,921),24016.74))\r\n%%\r\nP = [44 55;38 58;47 41];\r\nassert(isequal(connect_grid(P,627),13183.32))\r\n%%\r\nP = [45 48;23 52;51 54;39 57;39 66;56 35;52 47;42 54;51 44;51 20;...\r\n54 29;25 50;65 62;54 71;77 55];\r\nassert(isequal(connect_grid(P,705),88660.58))\r\n%%\r\nP = [31 54;51 61;51 20;38 18;46 70;34 78;40 40;51 65;11 42;59 47;...\r\n78 57;74 20;49 61;52 62;74 66;36 41;13 38;36 60;27 29;73 50;...\r\n24 66;29 76;50 58;43 80;72 52;53 32;64 49;53 63;54 77;67 41;...\r\n74 51;53 80;60 21;45 60;21 44;21 64;58 48;45 32;30 68;75 70;...\r\n39 68;40 21;36 74;19 45;33 21;67 60;80 68;21 52;42 37;54 39;...\r\n36 53;56 49;45 12;75 44;29 72;15 39;24 53;55 87;28 70;76 49;...\r\n74 55;78 43;39 44;48 43;47 45;45 53;46 74;60 54;62 29;25 47;...\r\n83 49;37 55;52 73;35 49;33 49;32 55;59 17;58 55;80 45;48 75;...\r\n42 49;64 62;50 38;34 31;49 15;61 50;52 39;33 23;80 57;47 29;...\r\n38 33;51 62;57 36;69 37;57 63;76 43;69 75;48 62;65 29;39 37];\r\nassert(isequal(connect_grid(P,466),206237.38))\r\n%%\r\nP = [39 80;52 47;39 43;77 62;69 44;50 74;53 48;70 49;61 70;50 35;...\r\n71 60;49 81;28 50;45 42;13 42;64 16;50 67;68 53;50 82;35 60;...\r\n48 12;18 48;59 26;70 47;53 54;40 59;58 30;50 25;42 68;55 29;...\r\n56 43;14 50;46 72;49 64;34 49;44 56;56 48;28 54;60 43;58 52;...\r\n56 46;47 31;43 21;49 40;41 45;33 22;37 55;80 47;44 16;85 51;...\r\n34 48;46 19;20 40;82 43;54 17;32 59;76 64;61 34;32 42;52 41;...\r\n51 60;69 27;39 23;36 39;39 61;30 57;53 72;39 51;51 37;69 60;...\r\n51 26;16 56;41 58;61 48;30 71;49 35;60 36;48 64;66 18;61 54;...\r\n33 69;49 43;53 32;46 44;17 59;57 14;69 54;22 50;39 27;52 78;...\r\n53 55;65 64;65 25;22 56;37 48;50 68;31 46;58 70;21 69;48 63];\r\nassert(isequal(connect_grid(P,652),270213.53))\r\n%%\r\nP = [19 21;26 23;19 19;17 15;20 15;15 17;21 18;19 15;32 56;35 64;...\r\n30 61;26 54;26 61;23 59;26 51;30 51;30 60;29 65;68 32;74 31;...\r\n66 29;70 36;76 31;71 29;71 35;75 29;77 29];\r\nassert(isequal(connect_grid(P,516),76114.60))\r\n%%\r\nP = [79 11;84 19;84 16;80 21;75 18;80 12;87 19;88 18;89 20;75 23;...\r\n78 58;72 59;68 64;62 60;72 57;74 55;75 60;72 61;66 58;67 59;...\r\n71 60;69 59;19 53;18 52;18 49;24 47;24 50;20 53;14 57;20 45;...\r\n16 55;20 57;29 52];\r\nassert(isequal(connect_grid(P,833),133508.95))\r\n%%\r\nP = [80 14;82 18;76 13;81 12;70 19;81 13;74 20;74 25;84 13;74 13;...\r\n80 28;73 24;79 25;73 18;82 23;82 24;86 19;79 17;83 18;77 24;...\r\n71 16;83 20;79 13;78 28;72 21;83 19;83 15;87 19;85 20;80 27;...\r\n83 27;71 57;66 52;76 57;69 60;69 58;69 64;69 61;70 66;70 60;...\r\n69 51;72 60;68 54;73 60;73 64;68 56;69 52;71 65;75 55;79 60;...\r\n62 63;70 68;68 63;70 53;64 57;76 64;63 56;62 57;63 57;64 58;...\r\n70 55;71 59;72 58;20 49;10 48;14 44;21 50;20 46;18 45;20 55;...\r\n26 49;23 49;21 58;15 49;21 55;17 51;18 51;14 47;14 51;19 41;...\r\n15 52;25 46;16 52;19 53;17 47;23 51;28 50;11 49;13 50;12 49;...\r\n19 58;21 51;15 57;20 50;20 54];\r\nassert(isequal(connect_grid(P,669),165201.64))\r\n%%\r\nP = [48 42;52 25;58 41;39 40;45 39;48 45;63 34;62 34;51 43;50 22;...\r\n64 32;59 32;50 27;50 33;57 31;55 27;49 24;38 38;44 32;64 27;...\r\n47 33;56 52;54 44;40 35;39 28;63 36;31 31;56 32;54 47;59 46;...\r\n58 23;50 44;52 40;65 57;60 59;70 51;60 58;69 57;69 67;71 58;...\r\n65 54;72 65;72 58;76 61;67 62;69 69;62 61;76 56;69 59;67 64;...\r\n72 53;61 59;71 63;73 60;68 61;65 59;70 59;62 59;73 59;68 53;...\r\n76 58;72 63;72 60;70 65;65 55;67 56;26 43;15 57;17 47;17 44;...\r\n11 52;17 40;20 42;17 51;22 47;18 52;23 53;23 50;18 55;22 52;...\r\n18 45;20 52;14 44;19 52;19 45;29 49;20 43;18 44;14 49;22 57;...\r\n15 44;18 50;14 47;23 59;16 54;16 50;23 51;13 50;24 42;19 54];\r\nassert(isequal(connect_grid(P,421),113257.41))\r\n%%\r\nP = [13 39;15 100;14 2;12 49;15 83;11 100;12 87;15 42;13 37;14 10;...\r\n12 74;14 34;14 99;13 9;13 64;12 15;12 94;14 21;13 36;15 91;...\r\n14 40;12 30;11 30;14 92;13 24;12 80;14 22;14 78;14 62;12 52;...\r\n13 1;11 18;13 16;13 2;13 5;13 17;11 82;12 24;13 12;13 68;...\r\n14 36;11 68;15 44;13 58;12 77;12 70;14 58;12 40;13 94;14 54;...\r\n13 67;14 18;12 93;15 64;14 49;11 47;11 12;15 45;12 7;11 95;...\r\n14 17;14 84;15 52;14 75;15 75;15 97;12 92;15 6;13 78;13 34;...\r\n14 86;13 43;12 19;12 21;14 95;12 83;12 88;15 18;11 96;13 93;...\r\n11 23;13 27;13 3;15 34;13 31;12 67;11 14;15 31;12 63;13 99;...\r\n13 84;11 3;13 79;15 29;12 66;12 65;12 18;15 54;11 75;11 1];\r\nassert(isequal(connect_grid(P,529),89880.18))\r\n%%\r\nP = [79 53;35 50;62 53;50 51;62 35;53 42;46 60;15 56;45 75;78 41;...\r\n21 66;63 32;55 43;48 52;45 74;41 58;47 53;29 28;37 50;58 54;...\r\n29 37;46 36;63 55;49 19;50 50;55 56;59 47;55 26;34 57;44 58;...\r\n37 49;44 79;51 22;42 13;54 46;57 37;35 78;61 46;40 38;38 45;...\r\n49 55;39 55;50 61;48 23;52 73;51 54;57 50;61 54;18 60;68 74;...\r\n66 56;35 69;49 49;51 86;41 53;43 19;51 38;39 50;58 19;57 43;...\r\n42 50;47 57;37 54;56 65;48 17;76 43;49 25;51 51;87 53;50 20;...\r\n35 67;74 67;28 61;71 54;30 56;73 53;49 81;22 65;43 46;43 82;...\r\n49 61;47 75;52 68;47 49;15 41;49 44;51 49;37 46;72 41;43 55;...\r\n77 29;51 58;69 76;50 40;37 74;66 65;48 66;45 77;25 53;48 53];\r\nassert(isequal(connect_grid(P,705),287274.75))\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":16,"test_suite_updated_at":"2020-04-16T22:13:36.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-16T15:53:39.000Z","updated_at":"2025-12-04T16:06:04.000Z","published_at":"2020-04-16T18:39:40.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are given the 2-D point locations (\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\u003exi\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eyi\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:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\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\u003ecomponents\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of a power grid. These\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\u003ecomponents\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e include power sources (power plants, wind farms, solar farms, etc.), loads (residential, commercial, etc.), storage stations, and substations. However, the cables between them are not yet installed.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task is to design a\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\u003ecomplete\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e cable network by installing cables between pairs of components. A network is considered\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\u003ecomplete\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e if and only if a path exists from any component\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to any other component\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eB\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. A\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\u003ecompleted\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e network of cables is enough to deliver power from any source to any load or vice versa (excess power can be sent back to the grid). After all, cables can carry power in both directions.\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\u003eHowever, the cost of installing a cable between components\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026amp;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eB\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eD\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e dollars per unit straight-line distance between their point locations. This means that we don't want to install too many cables; we only need to install enough to make the network\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\u003ecomplete\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Knowing the locations of all\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e components, can you design a\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\u003ecomplete\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e cable network whose total installation cost is minimium?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts variables\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eD\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Variable\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is an\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-by-2 matrix where each row is a location (\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\u003exi\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eyi\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ). Output the required minimum total installation cost, rounded to 2 decimal places. You are ensured that:\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\u003e2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e100 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eD\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 1000 and 1 \u0026lt;=\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\u003exi\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eyi\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eD\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and all elements of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are integers\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\u003eAll point locations in a test case are distinct\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA sample test case is given below.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e P = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; ...\\n 5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];\\n\u003e\u003e connect_grid(P,400)\\nans = \\n 18394.83]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA visualization of this case is given below:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"346\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"719\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" 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ev6A6rd3rRpU1cb+q233rIRI0a4faYGAfVdS0b4O7llyxZr06bNzqcp7rvvPhs3bpz7fzLzq2yaDT01oM9Tze6A8qprvTS8opreQG2Sp+iz3w8AAAAAQEbpUXeloFAgRkHC/v37+/8pKzyeAokKagEAgNxBjWcAAAAAQLV54YUXXDBZEjU6pxqJ0Tl8AQBA7iDwHKLE8SrYBI9h6DGPiqjRAo2b7QUiNcYQPO6RzLJq3YPtkKjLVJJ9NSgS6/PUafm1LtENRuSK6G0b7/GzMI0T7L+gC7ZB0BBIIlWdHgAAAEiXrVu3+n1m7777rt9Xnu5h9Ji9nH/++e4VAADkDlJthCjPjnLuhC1ZsmRnbrZYFEQcPny468/GTamg4qxZs3YuY6CiZVVQUjnXKpKpR94UGE2WcnDdeOONSed8qkmxjjHlyIqX8037T/siOndZmHJjzZ07N2arwVWdHgAAAEg3VR4J8ukqf6ryt7Zv335neVT/V63oW265xdWM1jjvvfdeTpT3AQDALgSeQ2IFBRWUU+L5eLI58Kz1ufLKK3fWEghLNvCs9b/nnnv8oeWpEYZMBCyDwHOsz1+zZo1rSETB0oDGUwA82wujrVq1cvtDBe1gvyQKPKvmdxA0VgMal19+ue233362YcMGe/jhh3f+OBDvOK3q9AAAAEAm6Im8Xr16+e/iU7l53rx5FTZYBgAAsg+pNuIIWs5V0C6ZVAjZRikUFEQPgpxBK8upUiBXNb7jdZmuJRvr89X4iPaJWr9WwFS0n/r06eP6s5V+pND+UI0NtaZbEa1jEDRWC8x6r9Z0tQ2U4kSB9kTHaVWnBwAAADJF5VGVjfX0YlCmD6i8rHKqGh5cunQpQWcAAHIUgec4hgwZ4go8Mnr06JzLg6u8aVp+1aZVYS1TuZhrkgqgCp4Gj+mp9m62Bk/1uGBQM16PEqrWcUV03In2o6aJJTz86aef9vtKVXV6AAAAIJNUiWX8+PHuyTs9kRl0mzdvduV8VTghvQYAALmLwHMcCgyOGDHC9euXeOVJziV9+/Z1edCUwqE2F9a0bkoZEbjrrrv8vuwyaNAg96qaG8n8CKBAdZCKQ7WV41FhPaghEk49UtXpAQAAAAAAgKog8JyAgrdBbdpJkya5YF66qIVm5WBOttP4qVBAtq7UDlDqiGA/KWVEsvtJtdhjbetEXWVqvqsWdpBLOV7N42jh1r1POukkvy825XEOBMdJVacHAAAAAAAAqoLAcwIK3I4bN871qzXlO++80/WnQ5s2bVwO5mS7zp07+1MiFjWcF9i4caPfl5hqscfa1om6p556yp86OQpUB7WdlfYk2ZzYq1ev9vtKa98n0rx5c7/PbPv27e61qtMDAAAAAAAAVUHguQJKixA0wDZt2rS01QgN8kcnq3Hjxn5f9VJN3by8vDJdly5dXOOF6awBXlUNGjTw+8zeeOMNvy+x8DTJSnWaMWPGuB8tVCNbaU8AAAAAAACAuoDAcxKCRtokaCCuqtRgRrgBjYq6tWvX+lNWj0Q1cxWMHjBggMsNnC2N+Z144ol+X/LUWEmsbZ2oS6WRRqXm0I8VEs5DDQAAAAAAANR2BJ6ToBzCQSoHBV3nz5/v+muzsWPH2pIlS2zTpk1lAq8aFjRWp5q8vXr1cgHWmrZt2za/L3tceeWV7lXbS8cQAAAAAAAAUFcQeE7ShAkT/D6zIUOG+H21l/JbK1ga3UChhqmBvOnTp/tDzO6//36/r+aEcxpXJoVGuk2ZMsXWrVvnUqooiA8AAAAAAADUJQSek6TUE2ocThRQVI7jukxpKpS3WObOnetea9LWrVv9PrPWrVv7fTVDDQoGKVlU2/mdd95xtcLD3Zo1a9z/5f333985HAAAAAAAAKgNCDynoG/fvjsbBbzllltcgLGy1FhgdKN9ibpWrVr5U2aPbFqmcPD7yCOP9PsS048HsbZ1oi6ZnNYKNAdUU75Tp07lOuXIDigPdDA8CD6Ha21v2LDB74tNgetAsO5VnR4AAAAAAACoCgLPKVDaiYkTJ7p+5TeeNWuW668MTZ8KNUaYbaoSeE8nBWtVC12Uizs6PUg84VrSyUpmmvr16/t9qQumDdfafvvtt/2+2BYtWuReVQM9WPeqTg8AAIDsoQauVQkilYauUTW611H6PFW2CSqhdOnSxdavX++PgbBVq1bt3E7qjxZUvKrrTw5nEx3PPHULINMIPKconGJi0qRJlQpeysqVK11Dfcl2ixcv9qfMDipwvfnmm66/bdu27rUmqEB4ww03+O/MrrvuOr+vYqrBHmtbJ+ouvPBCf+r4jjnmmDINMsbqNK+AUrgEwzWthBsjTJTKJBx0P+uss9yrVHV6AAAAZI8tW7aUeUXm9enTx6XPC8rKoobmN27c6L+Lb9CgQS7IqqB1XQlUb9++3e8r2x8IKl5V9v65qvTkqvaJAuDz58/3h9Y9uv/TD1jaDjqe9dStjlMNS+d2Cf9wk0pwW/tJAfHgRwx1ep/Mk8cV0XdR383w0+da72SXT9OPGjWq3I9RVVk2zTNYnqoK79tg+dq1a+f2Q0WVBmP90KZp07HdAQW74FuyZElEm0Sd+uMJj9eoUaOd/dmusLAwLcu6adOmSNu2bXfOa/r06f5/dvEKaDu3zciRI/2hyQvmrWWOR58RXo6ePXv6/8l+4WNo8uTJ/tCyBg4cuHOcWNs4ej9oe4RVdXoAAIBcoDJgUJ5JtUtU5s8mQTk+UdkY6bNy5cqdx4jK1Co3S1FRUVJl5mBadblyjFVV+P4m1joH/4t375Np4XvhmlqGmhbcH2r9dRxrm2hfqQv+p3v4OXPm+FOkTvPV/MNxkmS+A/qOBfsoWL5guN5ruP4ffBdTpXUKL1N0V9E6ax00vZZB5wfRMgbXn8ouW/h+vCoUc9E8tDzB8kmw3i1btiwzPEzD9f9gOaI7HRtAVRB4DtHJJPhyVXRyDE6K4S6b6KSndQh34ZNa9P/CdGLRuDp56UQVHk/DwicljReLxg3G0bZKVXj+4c9XpyBq9A2GxqvsRagmhLdPvIKPLmThi6P2iwq7mlb7JbwfYgX3qzo9AABALohVLk+2U7moqlQ21bxU7sqUYB0rU67OFdWxHZMVBLrUVeYeIwjiqbwdBNBqWnBfEKtCSjqE729ifa+C/8W796ms8I8E8QJrovsfjaPtoHuiuiYITIa3v84n4X0VbKPK7iPNS5+j6cP3ocmcZ4P7+3jHZ/CdrEwQNLgv1jyC76Neg20SdPG+qzquNH282EdwftY6pCJYp6CrrODcGe/zg++mzkexaL3CAWud8zTP8D7UsQFUFoHnkOALqa6ik2P4Ahd02SQ4+STbhdc3KChV1OnkFK8gFt6WqZ6AJfw5ibrgApJrwtsn0fLrBB8+4cfqEl18qzo9AABAtlOwQGWr6C5cplXZONY46ai4EA4eZEpdCDxXx3ZMlu5fsmVZ0iVYn0zdO+n7FHyG+qNl6vMr+lyUBhJjbaPowLMoCJmOfRT+Ple0X3QOD8aNJ7wOqZ63tZ7xfpQIB5/jBb21TfT/eD9YhJc/2QBtcNwG53Z1lRVUKEu0neOtg/ZTvPXWuMGyVSamAwTI8RwSbhSuogbilIvXO6lYo0aN3HvvhOFes0WDBg38vuSE13fs2LFu3byTS7n8zXrvFeJdjmLl+4nXGN2GDRv8PrPzzjvP70te9OeGeSdWt2zeCdLee+89GzZsmP+f3BHe3ocddpjfV55yNCmXtra51jug407bQPth6tSp/tDyqjo9AABAtmvRooVr3yK6a968uT9GacPLscahYWXEQi5t1CbvvPOO31exiy66yO+rPsnkTQ+fq1NZHxkyZMjOtpSiqd2nQKz848p7HbRtdcQRR7jXaLoGBfGL0aNHu9dElE+5e/furq2n0047zR9aeetCeejjCbbf6tWr3WvgqKOOcu2YxdK1a9edMQTOiagKAs8h4Ubh4p2YwhTU27x5sxt/wYIF/tDsoGUL1iWZLry+OilpegWWly9fXmY8vVegUgX1RO666y73qoC85pWq6M8Nd2vXrnXLphNkrt4shI+1iraPLmTa5lrvYBodd9oGFe0Hqer0AAAAAIDc9/jjj/t9sZ144ol+X82YMWOG31fWqlWr3KsqUKV6D6sAajy6Vw7EqhD2+uuv+31lx40WNNSvIHBFjRWq4dL27dunvQLd/fff7/eVt2zZMvcaXWEy0bYRNTYoidYdqAiBZ6SdTrT6VVAXBWrTAgAAINup/Dpo0KAyLfo3btx4Z2WMWPR/jTd8+HB/iO2cNuiCYIloPvqMLl26lBlHn6nPqShYURWqYTdlyhRr165dmc/VMP0vnspsl8D69ett1KhRZabV52tY+DNT3Y7J0vJpOYP5q9OyaH1ibWstbzDewoUL/aFllyVeUCyaxtP4+uxo+uzw/4J9E95OOkZU0zKRYP2CaYL9Ep4uWA51AW3nYJg6TRPQNtCy6PPDy6NOwyo6XipL20THhT4jvL/Ur2GxjrVg3Tt16uQPMdcfTKsuvL90DAXDEx1PlT3m07Fftf2D8bU90uXII4/0+8ymTZuWcD0U1K3uJ4q1fMGT5LfcckvM/TNx4sQyr+kSfJZq9oa/C4G33nrL70ssHLR+4403/L7ydEyoQtjs2bP9IVUXBJPnzp0bc9/qe/D555+7J56TqWAZFgSshw4d6l6BSokAaRbkKYqXKwgAAADItGRzjIZzQcfrVL6NzivaqIJ2NNQFeUX1+bH+H93Fyw8alK/1mqqgYazozwq6lnEawKvsdpGKPrNnKF9oKtsxGVqeIJ9poi66ce1wntZ4XbL3N+FjL1r4WNB6afsH76O7eMdDRfsm2F5a3lj/D3fhfREcZ4k6bdtY+zy8XrG+b8H/tG2iBf9L1Gmdw7TcscYLd+H9VdHySVWO+XTs1/A81KVTdEN62g9al3jboqqSPf8GwseqzgnhbaR+DY8+BtJB89TnxTvHhL8TidYjvO9iHeMSjBP+r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corrosion on a metal plate: Find the largest pit","description":"You are given an N x M matrix of _ones_ and _zeros_, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The _ones_ denote areas where the plate has corroded visibly, whereas _zeros_ are areas where the metal is still in good condition. The *corroded areas* (the matrix elements with _ones_) can be found at multiple points on the metal plate. \r\n\r\nA collection of *corroded areas* that are next to each other is called a _pit_. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\r\n\r\nFor this problem, a _pit_ is defined more clearly as follows: Two *corroded areas* at [row _R1_, column _C1_] and [row _R2_, column _C2_] belong _to the same pit_ if and only if |max(abs(R1-R2),abs(C1-C2)) \u003c= 1|. In other words, if two *corroded areas* are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\r\n\r\nThe size of a pit is equal to the number of *corroded areas* (or _ones_) that belong to it.\r\n\r\nWrite a function that accepts a matrix X denoting the image in question. Output the size of the largest pit in this image. You are ensured that the size of the matrix is constrained at 1 \u003c= N \u003c= 20 and 1 \u003c= M \u003c= 20.\r\n\r\nAs an example, consider the following 10 x 10 image (left). The *corroded areas* that belong to the same pit are then labeled, showing that the largest pit is Pit 1, with a size of 6 (right). In contrast, Pits 2, 3, 4 and 5 have size 2, 2, 4, and 4, respectively.\r\n\r\n Sample test case:\r\n X = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\r\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\r\n The largest pit in this image is Pit 1, with size 6.","description_html":"\u003cp\u003eYou are given an N x M matrix of \u003ci\u003eones\u003c/i\u003e and \u003ci\u003ezeros\u003c/i\u003e, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The \u003ci\u003eones\u003c/i\u003e denote areas where the plate has corroded visibly, whereas \u003ci\u003ezeros\u003c/i\u003e are areas where the metal is still in good condition. The \u003cb\u003ecorroded areas\u003c/b\u003e (the matrix elements with \u003ci\u003eones\u003c/i\u003e) can be found at multiple points on the metal plate.\u003c/p\u003e\u003cp\u003eA collection of \u003cb\u003ecorroded areas\u003c/b\u003e that are next to each other is called a \u003ci\u003epit\u003c/i\u003e. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\u003c/p\u003e\u003cp\u003eFor this problem, a \u003ci\u003epit\u003c/i\u003e is defined more clearly as follows: Two \u003cb\u003ecorroded areas\u003c/b\u003e at [row \u003ci\u003eR1\u003c/i\u003e, column \u003ci\u003eC1\u003c/i\u003e] and [row \u003ci\u003eR2\u003c/i\u003e, column \u003ci\u003eC2\u003c/i\u003e] belong \u003ci\u003eto the same pit\u003c/i\u003e if and only if \u003ctt\u003emax(abs(R1-R2),abs(C1-C2)) \u0026lt;= 1\u003c/tt\u003e. In other words, if two \u003cb\u003ecorroded areas\u003c/b\u003e are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\u003c/p\u003e\u003cp\u003eThe size of a pit is equal to the number of \u003cb\u003ecorroded areas\u003c/b\u003e (or \u003ci\u003eones\u003c/i\u003e) that belong to it.\u003c/p\u003e\u003cp\u003eWrite a function that accepts a matrix X denoting the image in question. Output the size of the largest pit in this image. You are ensured that the size of the matrix is constrained at 1 \u0026lt;= N \u0026lt;= 20 and 1 \u0026lt;= M \u0026lt;= 20.\u003c/p\u003e\u003cp\u003eAs an example, consider the following 10 x 10 image (left). The \u003cb\u003ecorroded areas\u003c/b\u003e that belong to the same pit are then labeled, showing that the largest pit is Pit 1, with a size of 6 (right). In contrast, Pits 2, 3, 4 and 5 have size 2, 2, 4, and 4, respectively.\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eSample test case:\r\nX = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\r\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\r\nThe largest pit in this image is Pit 1, with size 6.\r\n\u003c/pre\u003e","function_template":"function y = largest_pit(X)\r\n y = X;\r\nend","test_suite":"%%\r\nfiletext = fileread('largest_pit.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\n%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(largest_pit(x),y_correct))\r\n%%\r\nx = 0;\r\ny_correct = 0;\r\nassert(isequal(largest_pit(x),y_correct))\r\n%%\r\nx = [1 0 1 0 1];\r\ny_correct = 1;\r\nassert(isequal(largest_pit(x),y_correct))\r\n%%\r\nx = [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0\r\n 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 1 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0];\r\n assert(isequal(largest_pit(x),7))\r\n %%\r\n x = [ 0 1 1 1 0 1 1 1 0 0\r\n 0 0 0 0 1 0 1 1 1 0\r\n 0 1 1 0 0 0 0 0 0 0\r\n 1 1 0 1 1 1 1 0 1 0\r\n 1 1 0 0 0 1 0 0 1 1\r\n 1 0 0 0 0 1 0 0 0 0\r\n 1 1 0 1 1 1 0 1 0 1\r\n 0 0 0 1 1 1 1 1 0 0\r\n 0 0 1 1 0 1 0 1 1 1\r\n 0 1 0 1 0 1 0 1 0 0];\r\nassert(isequal(largest_pit(x),34))\r\n%%\r\nx = [ 0 0 0 1 0 1 1 0 0 1 1\r\n 1 0 0 0 0 0 0 0 0 0 0\r\n 1 0 1 0 0 0 0 0 1 1 0\r\n 1 1 0 1 0 0 0 0 0 0 0\r\n 0 0 0 1 1 0 1 1 0 0 0\r\n 0 1 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 1 0 0 0 1 0\r\n 0 0 0 1 0 0 0 0 0 1 0\r\n 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 1 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1\r\n 0 1 0 0 0 0 0 0 0 1 1\r\n 0 1 0 0 0 0 1 0 0 0 0];\r\nassert(isequal(largest_pit(x),8))\r\n%%\r\nx = [ 1 0 1 0 0 0 0 0 1 0 1 1 0 0 0 0 1 0 1 1\r\n 0 1 1 0 0 1 1 0 0 0 1 0 0 0 0 1 0 0 1 0\r\n 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 0 0 1 0\r\n 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 1 1 0 1 0\r\n 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 1 0 1 1 0 1 0 0 0 0 0 1 0 0 0 0 1 0\r\n 1 0 1 1 0 0 0 0 0 0 1 1 0 1 1 1 0 0 0 0\r\n 0 0 1 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 1 0 1 1 1 0 1 0 0 0 0 0 0\r\n 0 0 0 1 0 1 1 1 0 0 1 1 0 0 0 0 1 0 0 0];\r\nassert(isequal(largest_pit(x),15))\r\n%%\r\nx = [ 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1\r\n 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1\r\n 1 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0\r\n 1 0 0 1 0 0 0 0 1 1 0 0 0 1 0 1 0 0 0 0\r\n 1 1 0 1 0 0 1 0 0 0 1 1 0 0 0 1 1 1 0 1\r\n 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1\r\n 0 0 0 0 1 1 1 0 0 0 0 1 0 0 0 0 1 0 1 1\r\n 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1 1 0 0 0 1\r\n 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0 1 0 0 1 0\r\n 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 1 1\r\n 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 1 0\r\n 1 0 0 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 0 1\r\n 1 1 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0\r\n 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 0 1 0 0 1\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 1\r\n 0 1 0 1 0 1 1 0 0 0 1 1 0 0 0 0 1 0 0 0\r\n 1 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1 1 0 1 0\r\n 0 0 1 0 1 0 0 0 0 1 0 0 0 1 1 1 0 0 0 0\r\n 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0\r\n 1 0 0 1 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0];\r\nassert(isequal(largest_pit(x),27))\r\n%%\r\nx = zeros(14);\r\nassert(isequal(largest_pit(x),0))\r\n%%\r\nx = [ 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 1 0\r\n 0 0 1 1 1 0 0 0 1 1 0 1 1 1 0 1 1\r\n 1 0 1 1 1 0 0 0 1 1 0 0 1 1 1 1 1\r\n 1 0 0 1 1 1 1 1 0 1 1 1 0 1 0 1 0\r\n 1 1 0 1 0 0 1 1 1 1 1 1 1 0 1 0 1\r\n 0 1 0 0 0 1 1 1 0 0 0 1 1 1 1 0 1\r\n 0 1 1 0 0 1 1 1 0 1 1 0 1 0 0 1 1\r\n 1 1 0 0 0 1 0 1 1 0 1 0 1 0 0 1 1\r\n 1 0 0 1 0 0 1 1 0 1 1 0 0 0 1 0 0\r\n 0 0 1 0 0 1 1 1 0 1 0 1 0 1 1 1 1\r\n 1 0 1 0 1 1 1 0 1 0 0 0 1 0 1 1 0\r\n 0 1 0 1 1 1 1 1 0 1 0 0 0 0 0 0 0\r\n 1 1 1 1 0 0 0 0 1 1 0 1 1 0 1 0 1\r\n 1 1 0 1 1 0 0 0 1 1 0 0 1 1 1 0 1\r\n 0 0 1 0 0 1 1 1 0 1 1 0 1 1 1 0 1\r\n 0 1 1 1 1 1 0 0 1 1 0 1 0 1 1 0 1\r\n 1 1 1 0 1 0 1 1 1 1 0 0 1 1 0 1 0];\r\nassert(isequal(largest_pit(x),150))\r\n%%\r\nx = repmat([1 1 1 0;1 0 1 0;1 1 1 0; 0 0 0 0],4,5);\r\nassert(isequal(largest_pit(x),8))\r\n%%\r\nx = [0 1 0 1 0 0 0 1\r\n 1 0 0 1 1 0 0 0];\r\nassert(isequal(largest_pit(x),3))\r\n%%\r\nx = [ 0 1 0 0 0 1 0 0 0 1 1 1 1 0 1 1 1 1 0 0\r\n 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0\r\n 1 0 0 0 0 0 1 0 0 0 0 1 1 1 1 0 1 1 0 1\r\n 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 1 1 0\r\n 0 0 1 0 0 1 1 1 1 1 1 1 0 0 1 0 1 0 0 0\r\n 0 0 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0\r\n 1 0 1 0 0 1 0 0 1 1 0 0 1 0 0 0 1 0 0 0\r\n 0 1 1 1 0 0 1 1 0 0 1 0 0 1 1 0 1 1 1 0\r\n 0 1 1 0 0 0 0 0 1 0 0 1 0 0 1 1 0 1 1 1\r\n 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 1\r\n 1 0 0 1 1 0 1 0 1 0 1 1 0 1 0 1 0 0 1 0\r\n 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0\r\n 0 1 1 0 0 0 0 0 1 0 0 0 1 0 1 1 0 1 1 0\r\n 0 1 1 0 0 0 1 0 0 0 0 1 1 0 0 1 0 1 1 1\r\n 0 0 0 0 0 0 1 0 0 1 0 0 1 0 1 1 0 1 0 0\r\n 1 0 1 0 0 0 1 1 1 1 1 1 1 1 0 0 1 0 1 1\r\n 1 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0\r\n 1 1 0 0 1 0 0 1 0 1 1 1 1 0 1 1 0 0 0 1\r\n 0 0 0 1 0 0 1 0 0 1 1 1 0 0 1 0 0 0 0 1\r\n 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0];\r\nassert(isequal(largest_pit(x),91))\r\n%%\r\nx = [ 0 1 0 0 1 1 0 1 0 0 0 0 1 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 1 1 0 0 1 0 0 0 0 0 0 1 0 0\r\n 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0\r\n 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1\r\n 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0\r\n 0 1 0 0 0 1 1 1 0 1 1 1 0 1 1\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0\r\n 1 0 0 1 1 0 1 0 0 0 0 0 1 0 0\r\n 1 1 0 0 0 0 0 0 0 0 1 0 1 1 0\r\n 1 1 0 0 1 0 1 1 0 0 0 0 1 1 0\r\n 1 0 0 1 0 0 1 1 0 1 0 0 0 0 0\r\n 1 0 1 1 1 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0];\r\nassert(isequal(largest_pit(x),9))\r\n%%\r\nx = [ 0 0 0 0 0 0 1 1 0 0 1 0 1 0 0\r\n 0 0 0 0 1 0 1 0 1 1 0 0 0 0 0\r\n 0 1 1 0 0 1 0 1 0 0 0 0 0 0 0\r\n 1 0 0 1 0 1 0 1 0 0 1 1 0 0 0\r\n 0 1 0 1 0 1 0 0 0 1 0 0 0 0 1\r\n 0 1 0 0 0 1 0 1 0 0 1 0 0 1 0\r\n 1 1 0 0 0 0 1 0 0 1 0 1 0 0 1\r\n 0 1 1 0 0 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0\r\n 1 1 0 0 1 0 0 1 0 1 0 0 0 0 1\r\n 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0\r\n 1 0 1 0 1 1 1 0 1 0 0 0 0 0 0\r\n 1 0 0 0 1 0 0 1 0 0 1 0 1 0 1\r\n 1 0 0 1 0 0 0 0 0 0 1 0 1 1 1\r\n 0 1 0 1 0 0 1 1 0 0 0 1 1 0 0];\r\nassert(isequal(largest_pit(x),16))\r\n%%\r\nx = [ 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 1\r\n 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0\r\n 0 0 0 0 1 0 1 0 0 0 0 1 0 0 1 0 1 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 1 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0\r\n 0 0 1 0 0 0 0 0 1 1 1 0 0 0 1 0 0 0 1 0\r\n 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1 0];\r\nassert(isequal(largest_pit(x),7))\r\n%%\r\nx = [ 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 1\r\n 0 0 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 0 1];\r\nassert(isequal(largest_pit(x),6))\r\n%%\r\nx = [ 1 1 1 1 0 0 0 0 1 0 1 1 1 1 0 1 0 1 1 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0\r\n 0 0 1 1 1 1 1 0 1 1 1 0 0 0 1 1 1 1 1 1\r\n 1 1 0 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 0 1\r\n 1 0 0 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 0 0\r\n 0 0 1 0 1 1 0 0 0 1 0 0 1 1 1 1 0 1 0 0\r\n 1 1 1 1 1 1 1 1 1 0 1 0 0 1 0 0 0 0 0 0\r\n 1 0 0 0 0 1 0 1 1 1 0 0 0 0 1 1 1 1 1 0\r\n 1 1 1 1 1 0 1 1 0 1 0 1 1 0 0 1 0 1 0 1\r\n 1 1 0 1 0 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1];\r\nassert(isequal(largest_pit(x),104))\r\n%%\r\nx = [ 0 0 1 1 1 0 0 1 0 1 0 0 1 0 1 1 1\r\n 1 1 0 0 1 0 0 0 1 1 1 1 1 1 1 0 1\r\n 1 0 0 0 1 1 1 1 0 1 1 1 1 0 1 0 0\r\n 0 1 1 0 1 0 1 1 0 1 0 0 1 1 1 1 0\r\n 1 1 1 1 0 1 0 1 1 1 1 0 1 1 0 1 0\r\n 1 1 1 0 0 0 0 0 0 0 0 0 1 0 1 1 1\r\n 1 0 1 0 0 0 0 1 1 0 1 1 1 1 0 1 0\r\n 1 0 0 0 1 0 1 0 1 0 0 0 0 1 1 1 0\r\n 0 1 0 1 0 0 1 1 1 0 1 1 0 0 0 1 0\r\n 1 0 0 0 0 1 0 0 0 0 1 0 0 1 1 0 1\r\n 0 1 1 0 1 0 1 0 0 0 0 1 0 0 0 1 1\r\n 0 0 1 0 0 1 1 0 0 1 1 1 1 1 1 0 1\r\n 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 1 1 0 1 1 0 0 1 1 1 0 0 0 0 1 0\r\n 0 0 1 1 0 0 0 0 1 1 1 1 0 1 0 0 0\r\n 1 1 0 1 1 1 0 1 1 0 0 0 0 0 0 0 1\r\n 1 1 0 1 1 0 1 1 1 1 1 1 1 0 1 1 1\r\n 0 1 1 1 0 1 0 1 1 0 0 1 0 0 0 0 1\r\n 1 0 0 1 0 1 0 0 1 1 0 1 0 0 1 0 1\r\n 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 0 1];\r\nassert(isequal(largest_pit(x),158))\r\n\r\n\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":22,"test_suite_updated_at":"2020-04-09T23:45:40.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-09T20:15:45.000Z","updated_at":"2025-12-04T14:34:41.000Z","published_at":"2020-04-09T20:58:41.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are given an N x M matrix of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ezeros\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e denote areas where the plate has corroded visibly, whereas\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\u003ezeros\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are areas where the metal is still in good condition. The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (the matrix elements with\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\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) can be found at multiple points on the metal plate.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA collection of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that are next to each other is called a\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\u003epit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, a\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\u003epit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is defined more clearly as follows: Two\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e at [row\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\u003eR1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, column\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\u003eC1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e] and [row\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\u003eR2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, column\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\u003eC2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e] belong\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\u003eto the same pit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e if and only if\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emax(abs(R1-R2),abs(C1-C2)) \u0026lt;= 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. In other words, if two\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe size of a pit is equal to the number of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (or\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw: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\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) that belong to it.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts a matrix X denoting the image in question. Output the size of the largest pit in this image. You are ensured that the size of the matrix is constrained at 1 \u0026lt;= N \u0026lt;= 20 and 1 \u0026lt;= M \u0026lt;= 20.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAs an example, consider the following 10 x 10 image (left). The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that belong to the same pit are then labeled, showing that the largest pit is Pit 1, with a size of 6 (right). In contrast, Pits 2, 3, 4 and 5 have size 2, 2, 4, and 4, respectively.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[Sample test case:\\nX = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\\nThe largest pit in this image is Pit 1, with size 6.]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45411,"title":"Compute the missing quantity among P, V, T for an ideal gas","description":"Consider 100 mol of helium gas at a certain pressure (P), volume (V), and temperature (T). Assuming that the ideal gas law applies, can you compute one of the 3 quantities given the other two?\r\n\r\nRecall that, with SI units, the ideal gas law is given by:\r\n\r\n P x V = n x R x T\r\n where:\r\n P = pressure [Pa] or [kg/m/s^2]\r\n V = volume [m^3]\r\n n = number of moles [mol]\r\n R = gas constant, 8.314 [J/mol/K] or [kg.m^2/K/mol/s^2]\r\n T = temperature [K]\r\n\r\nWrite a function that takes a MATLAB variable, x, which is always a 3-element row vector containing the values of P, V, T in that order. However, exactly one of these values will be NaN, which you must solve using the ideal gas law equation above, given the other two values. All inputs are given in SI units, hence, you can use the given value of |R| above. Note that |n| = 100 mol. You are ensured that P, V, and/or T are floating-point numbers with 2 decimal places that satisfy the following constraints:\r\n\r\n* 1 x 10^5 \u003c= P \u003c= 3 x 10^5\r\n* 1 \u003c= V \u003c= 10\r\n* 300 \u003c= T \u003c= 500\r\n\r\nOutput the value of the missing quantity rounded to 2 decimal places, followed by a space, and then the correct units, either |Pa|, |m^3|, or |K|. For this, you can use |sprintf|. See sample test cases:\r\n\r\n \u003e\u003e idealgas([233424.06 NaN 435.02])\r\nans =\r\n '1.55 m^3'\r\n\u003e\u003e idealgas([109238.31 2.76 NaN])\r\nans =\r\n '362.64 K'\r\n\u003e\u003e idealgas([NaN 1.19 411.97])\r\nans =\r\n '287825.09 Pa'\r\n","description_html":"\u003cp\u003eConsider 100 mol of helium gas at a certain pressure (P), volume (V), and temperature (T). Assuming that the ideal gas law applies, can you compute one of the 3 quantities given the other two?\u003c/p\u003e\u003cp\u003eRecall that, with SI units, the ideal gas law is given by:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eP x V = n x R x T\r\n where:\r\n P = pressure [Pa] or [kg/m/s^2]\r\n V = volume [m^3]\r\n n = number of moles [mol]\r\n R = gas constant, 8.314 [J/mol/K] or [kg.m^2/K/mol/s^2]\r\n T = temperature [K]\r\n\u003c/pre\u003e\u003cp\u003eWrite a function that takes a MATLAB variable, x, which is always a 3-element row vector containing the values of P, V, T in that order. However, exactly one of these values will be NaN, which you must solve using the ideal gas law equation above, given the other two values. All inputs are given in SI units, hence, you can use the given value of \u003ctt\u003eR\u003c/tt\u003e above. Note that \u003ctt\u003en\u003c/tt\u003e = 100 mol. You are ensured that P, V, and/or T are floating-point numbers with 2 decimal places that satisfy the following constraints:\u003c/p\u003e\u003cul\u003e\u003cli\u003e1 x 10^5 \u0026lt;= P \u0026lt;= 3 x 10^5\u003c/li\u003e\u003cli\u003e1 \u0026lt;= V \u0026lt;= 10\u003c/li\u003e\u003cli\u003e300 \u0026lt;= T \u0026lt;= 500\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eOutput the value of the missing quantity rounded to 2 decimal places, followed by a space, and then the correct units, either \u003ctt\u003ePa\u003c/tt\u003e, \u003ctt\u003em^3\u003c/tt\u003e, or \u003ctt\u003eK\u003c/tt\u003e. For this, you can use \u003ctt\u003esprintf\u003c/tt\u003e. See sample test cases:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; idealgas([233424.06 NaN 435.02])\r\nans =\r\n '1.55 m^3'\r\n\u0026gt;\u0026gt; idealgas([109238.31 2.76 NaN])\r\nans =\r\n '362.64 K'\r\n\u0026gt;\u0026gt; idealgas([NaN 1.19 411.97])\r\nans =\r\n '287825.09 Pa'\r\n\u003c/pre\u003e","function_template":"function y = idealgas(x)\r\n y = x;\r\nend","test_suite":"%%\r\nassert(isequal(idealgas([233424.06 NaN 435.02]),'1.55 m^3'))\r\n%%\r\nassert(isequal(idealgas([294119.71 NaN 317.25]),'0.90 m^3'))\r\n%%\r\nassert(isequal(idealgas([173530.58 2.85 NaN]),'594.85 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.49 410.36]),'75985.15 Pa'))\r\n%%\r\nassert(isequal(idealgas([228388.12 5.36 NaN]),'1472.41 K'))\r\n%%\r\nassert(isequal(idealgas([120121.26 NaN 347.47]),'2.40 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.65 320.97]),'57388.06 Pa'))\r\n%%\r\nassert(isequal(idealgas([256885.58 3.62 NaN]),'1118.51 K'))\r\n%%\r\nassert(isequal(idealgas([186497.00 NaN 451.62]),'2.01 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 1.99 486.75]),'203358.77 Pa'))\r\n%%\r\nassert(isequal(idealgas([153235.77 8.18 NaN]),'1507.66 K'))\r\n%%\r\nassert(isequal(idealgas([179201.35 3.46 NaN]),'745.77 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 5.07 421.97]),'69196.42 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 7.95 439.29]),'45940.34 Pa'))\r\n%%\r\nassert(isequal(idealgas([126030.29 NaN 301.56]),'1.99 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 7.51 406.24]),'44973.09 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.14 326.86]),'126986.64 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.51 339.25]),'112371.49 Pa'))\r\n%%\r\nassert(isequal(idealgas([163285.80 2.96 NaN]),'581.34 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 6.00 336.89]),'46681.72 Pa'))\r\n%%\r\nassert(isequal(idealgas([115469.36 NaN 441.34]),'3.18 m^3'))\r\n%%\r\nassert(isequal(idealgas([162685.80 2.50 NaN]),'489.19 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 3.32 379.36]),'94999.97 Pa'))\r\n%%\r\nassert(isequal(idealgas([236819.21 NaN 496.57]),'1.74 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.39 376.27]),'130891.58 Pa'))\r\n%%\r\nassert(isequal(idealgas([251622.49 8.84 NaN]),'2675.42 K'))\r\n%%\r\nassert(isequal(idealgas([158829.73 NaN 466.48]),'2.44 m^3'))\r\n%%\r\nassert(isequal(idealgas([167062.27 NaN 390.52]),'1.94 m^3'))\r\n%%\r\nassert(isequal(idealgas([171921.26 NaN 448.51]),'2.17 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.12 304.89]),'119568.65 Pa'))\r\n%%\r\nassert(isequal(idealgas([163504.12 6.88 NaN]),'1353.03 K'))\r\n%%\r\nassert(isequal(idealgas([191577.27 3.16 NaN]),'728.15 K'))\r\n%%\r\nassert(isequal(idealgas([248129.61 7.69 NaN]),'2295.06 K'))\r\n%%\r\nassert(isequal(idealgas([192652.12 2.91 NaN]),'674.31 K'))\r\n%%\r\nassert(isequal(idealgas([135001.95 2.47 NaN]),'401.08 K'))\r\n%%\r\nassert(isequal(idealgas([203311.64 7.32 NaN]),'1790.04 K'))\r\n%%\r\nassert(isequal(idealgas([208176.82 7.12 NaN]),'1782.80 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.08 405.01]),'161887.17 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.59 383.02]),'69377.52 Pa'))\r\n%%\r\nassert(isequal(idealgas([151077.35 NaN 484.74]),'2.67 m^3'))\r\n%%\r\nassert(isequal(idealgas([286522.71 2.47 NaN]),'851.23 K'))\r\n%%\r\nassert(isequal(idealgas([215478.84 4.96 NaN]),'1285.51 K'))\r\n%%\r\nassert(isequal(idealgas([145733.90 1.58 NaN]),'276.95 K'))\r\n%%\r\nassert(isequal(idealgas([243042.50 NaN 383.81]),'1.31 m^3'))\r\n%%\r\nassert(isequal(idealgas([263228.02 3.86 NaN]),'1222.11 K'))\r\n%%\r\nassert(isequal(idealgas([270452.78 5.55 NaN]),'1805.40 K'))\r\n%%\r\nassert(isequal(idealgas([188792.83 NaN 473.35]),'2.08 m^3'))\r\n%%\r\nassert(isequal(idealgas([171014.73 NaN 344.83]),'1.68 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.49 328.44]),'60816.26 Pa'))\r\n%%\r\nassert(isequal(idealgas([184222.45 NaN 445.16]),'2.01 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 7.61 414.21]),'45252.85 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 3.39 484.92]),'118926.99 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 1.79 428.02]),'198802.14 Pa'))\r\n%%\r\nassert(isequal(idealgas([109010.22 NaN 369.49]),'2.82 m^3'))\r\n%%\r\nassert(isequal(idealgas([176773.72 6.65 NaN]),'1413.93 K'))\r\n%%\r\nassert(isequal(idealgas([260111.73 NaN 462.62]),'1.48 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 6.18 406.01]),'54620.83 Pa'))\r\n%%\r\nassert(isequal(idealgas([149725.79 5.06 NaN]),'911.25 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 1.27 407.13]),'266525.89 Pa'))\r\n%%\r\nassert(isequal(idealgas([260418.29 9.90 NaN]),'3100.96 K'))\r\n%%\r\nassert(isequal(idealgas([103635.51 NaN 456.75]),'3.66 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 9.09 425.19]),'38889.22 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.64 308.36]),'97110.04 Pa'))\r\n%%\r\nassert(isequal(idealgas([223288.70 NaN 370.89]),'1.38 m^3'))\r\n%%\r\nassert(isequal(idealgas([296869.88 9.51 NaN]),'3395.76 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.03 432.48]),'89221.80 Pa'))\r\n%%\r\nassert(isequal(idealgas([159101.45 NaN 405.57]),'2.12 m^3'))\r\n%%\r\nassert(isequal(idealgas([220527.64 NaN 416.71]),'1.57 m^3'))\r\n%%\r\nassert(isequal(idealgas([216714.12 5.61 NaN]),'1462.31 K'))\r\n%%\r\nassert(isequal(idealgas([299231.22 NaN 494.25]),'1.37 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 5.09 382.69]),'62508.54 Pa'))\r\n%%\r\nassert(isequal(idealgas([125130.92 3.78 NaN]),'568.91 K'))\r\n%%\r\nassert(isequal(idealgas([238757.52 1.09 NaN]),'313.02 K'))\r\n%%\r\nassert(isequal(idealgas([254190.84 1.38 NaN]),'421.92 K'))\r\n%%\r\nassert(isequal(idealgas([245902.61 3.02 NaN]),'893.22 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 6.61 347.29]),'43681.83 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 7.90 486.90]),'51241.60 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 1.89 397.95]),'175055.89 Pa'))\r\n%%\r\nassert(isequal(idealgas([279178.31 NaN 308.83]),'0.92 m^3'))\r\n%%\r\nassert(isequal(idealgas([254499.01 NaN 335.80]),'1.10 m^3'))\r\n%%\r\nassert(isequal(idealgas([142029.13 NaN 481.27]),'2.82 m^3'))\r\n%%\r\nassert(isequal(idealgas([120306.78 NaN 310.92]),'2.15 m^3'))\r\n%%\r\nassert(isequal(idealgas([186344.23 NaN 462.32]),'2.06 m^3'))\r\n%%\r\nassert(isequal(idealgas([278889.55 2.24 NaN]),'751.40 K'))\r\n%%\r\nassert(isequal(idealgas([283498.77 NaN 423.67]),'1.24 m^3'))\r\n%%\r\nassert(isequal(idealgas([287205.47 NaN 446.12]),'1.29 m^3'))\r\n%%\r\nassert(isequal(idealgas([266630.40 4.58 NaN]),'1468.81 K'))\r\n%%\r\nassert(isequal(idealgas([164492.08 NaN 495.83]),'2.51 m^3'))\r\n%%\r\nassert(isequal(idealgas([166084.72 6.58 NaN]),'1314.45 K'))\r\n%%\r\nassert(isequal(idealgas([182780.15 5.43 NaN]),'1193.76 K'))\r\n%%\r\nassert(isequal(idealgas([165550.99 8.54 NaN]),'1700.51 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.21 432.53]),'85416.97 Pa'))\r\n%%\r\nassert(isequal(idealgas([146076.61 NaN 424.91]),'2.42 m^3'))\r\n%%\r\nassert(isequal(idealgas([232087.59 NaN 369.76]),'1.32 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 7.44 471.24]),'52659.80 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.24 467.34]),'173458.25 Pa'))\r\n%%\r\nassert(isequal(idealgas([217641.88 NaN 461.35]),'1.76 m^3'))\r\n%%\r\nassert(isequal(idealgas([197918.87 NaN 370.63]),'1.56 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 1.38 494.59]),'297972.56 Pa'))\r\n","published":true,"deleted":false,"likes_count":9,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":190,"test_suite_updated_at":"2020-03-31T14:35:13.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-31T13:58:54.000Z","updated_at":"2026-04-09T21:32:56.000Z","published_at":"2020-03-31T14:35:13.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eConsider 100 mol of helium gas at a certain pressure (P), volume (V), and temperature (T). Assuming that the ideal gas law applies, can you compute one of the 3 quantities given the other two?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eRecall that, with SI units, the ideal gas law is given by:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[P x V = n x R x T\\n where:\\n P = pressure [Pa] or [kg/m/s^2]\\n V = volume [m^3]\\n n = number of moles [mol]\\n R = gas constant, 8.314 [J/mol/K] or [kg.m^2/K/mol/s^2]\\n T = temperature [K]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes a MATLAB variable, x, which is always a 3-element row vector containing the values of P, V, T in that order. However, exactly one of these values will be NaN, which you must solve using the ideal gas law equation above, given the other two values. All inputs are given in SI units, hence, you can use the given value of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e above. Note that\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = 100 mol. You are ensured that P, V, and/or T are floating-point numbers with 2 decimal places that satisfy the following constraints:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1 x 10^5 \u0026lt;= P \u0026lt;= 3 x 10^5\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1 \u0026lt;= V \u0026lt;= 10\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e300 \u0026lt;= T \u0026lt;= 500\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOutput the value of the missing quantity rounded to 2 decimal places, followed by a space, and then the correct units, either\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ePa\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em^3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, or\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eK\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. For this, you can use\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003esprintf\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. See sample test cases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e idealgas([233424.06 NaN 435.02])\\nans =\\n '1.55 m^3'\\n\u003e\u003e idealgas([109238.31 2.76 NaN])\\nans =\\n '362.64 K'\\n\u003e\u003e idealgas([NaN 1.19 411.97])\\nans =\\n '287825.09 Pa']]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45397,"title":"Assess the scatter of wind turbines in a field","description":"The renewable energy industry is on the rise in many countries--- and one of the key players is wind energy. \r\n\r\nIt is believed that the layout of a wind farm can influence its ability to harness energy. One assumption is that the more scattered the turbines are in the field, the higher the energy yield. Hence, we need to determine how many turbines in a wind farm are in a good position.\r\n\r\nYou are given the positions of 8 wind turbines in a field rendered as an 8-by-8 grid of cells. For this problem, a wind turbine is defined to be in a _good position_ if there are no other turbines in its immediate vicinity of adjacent cells in the grid. Otherwise, it is in a _bad position_. An illustration of these two cases is further explained in the figure below.\r\n\r\nAccess the figure here: \u003chttps://drive.google.com/open?id=19M-3AZ0aqmJs2vKL-EKoJ0z59RvURukg\u003e\r\n\r\nWrite a function that accepts a MATLAB variable, POS. You are ensured that POS is always a row vector of 8 elements, and each element satisfies 1 \u003c= POS(i) \u003c= 8. This vector represents the wind farm layout: POS(i) is the row position of the sole wind turbine in column _i_. Given the layout, output the number of wind turbines in _good position_.\r\n\r\nAs seen in the examples from the figure above, we have 4 turbines in _good position_ for POS = [8 1 6 3 6 7 3 4]; 6 turbines for POS = [3 1 5 2 8 7 4 6]; and, 2 turbines for POS = [4 5 7 7 3 2 6 8].","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: 835.2px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 417.6px; transform-origin: 407px 417.6px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eThe renewable energy industry is on the rise in many countries--- and one of the key players is wind energy.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIt is believed that the layout of a wind farm can influence its ability to harness energy. One assumption is that the more scattered the turbines are in the field, the higher the energy yield. Hence, we need to determine how many turbines in a wind farm are in a good position.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYou are given the positions of 8 wind turbines in a field rendered as an 8-by-8 grid of cells. For this problem, a wind turbine is defined to be in a\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003egood position\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e if there are no other turbines in its immediate vicinity of adjacent cells in the grid. Otherwise, it is in a\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ebad position\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. An illustration of these two cases is further explained in the figure below.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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: 481px; 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 240.5px; text-align: left; transform-origin: 384px 240.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"593\" height=\"481\" style=\"vertical-align: middle;width: 593px;height: 481px\" 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W0e/KgseM5W9az8Fya1ufwN7RMe4RzWHuHLy2KNcT4++k8qh8/KZNdF7xX1gzHSaG16OhkzLB+Kgm+Nh0frjnPOpqCq2mJZBnHM+tU5Ty23CutMSznqkp0svt9pmTSZd60LgMm5wXF5q12eXBuuwmdPaqnUb6EadmzxlJ+xTw7PlN5339w/ILut8e1L21LlGQAf9UgjSj+J80z5aU/tjWf80umY+PpeRI9bRoPWpN2W2eH5bDTtbHLaoeJnJwmjF4z/1o1+tJ8gmj4l15Z9xf7vUT79dbrm/vMwOjapQZ2h9St4s1X1esrNvinUmP3VErAs5TKcl1HIMWDam5QNxEId4WKS22fKjpD1ii6NuGcS51sW5FpYbat2py2z9reDM68LoUPl3WtO/1dYjvJ2zKybL2HRcXpxhrf2F4qD5WeuR+tWPrq9bh82c1pCxB4ilQhWPThHxuUlU36hY3QTeOBownG5cw9o3Rdrd/W/SNB+fF3cZNU3KdetoxnXTZ0VTvDHX0UB/Nf008AhffXNobTlVN7saTYvJcqxe9l7LprafhsqvWU5O96ploIcPrB4gEtXrrfO9Zl1XTc267RYwnG4Ctzkv5uOrZceWpPsG91Ljji0NlEGcc3gMZ3G61wtqXrEvVLlenH49x6ka33oyK8OoLi1Od4/Y79WUt4WA6XeXYTQuHz7Dlic1YBp0U11ngf0oLZjveqsa0C30+uyngy/b029az0nafZGtJNXvYkZy9d7Q/mGm4tpcNZCkMznJWKeBHkvxopH+yUul/vSlJK5jLy7m4/PSP7kmOdVjefCkitnp2mu8R+ZlLVd5TbEuJ5OrOs3fQH8V1yjrftZ+J3ucr3XtvSRrrulOptKqjPmKI8Nm07K95Wi0bEzrAuh68YiHlj2/q4wtyerY0kAZxLnWaXq5TVh3Apitvz7UvKrsq2ra9G91TtZKM2u4jI3G5UMNW7u/kJP50gppWofNnNbtrdtAnCV0BuV8tujTs1Wd0HRZmUiMyqO0QTCNnD1tCyowFsoRGwBihDgHAPAXlA91/AMjuprzSNHEhPt65bxkJ+xr8us+khQAAABAxyB5aqXSTbdTMqCTKKsZcG64TcvvOOAJAAAAdA2Sp5biWmEAAAAgLrjnCQAAAAAc3PMEAAAAACGRPAEAAACAAZInAAAAADBA8gQAAAAABkieAAAAAMAAyRMAAAAAGCB5AgAAAAADJE8AAAAAYIDkCQAAAAAMkDwBAAAAgAGSJwAAAAAwQPIEAAAAAAZIngAAAADAAMkTAAAAABggeQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8AQAAAIABkicAAAAAMEDyBAAAAAAGSJ4AAAAAwADJEwAAAAAYSBQU57MlkUhIVSd0KL2sEB7rO9qNbbk5otqWWV7NwfLqLiyv7sK+TTh6PfSrQ5KnLmYtq/89cL61VuIHB+JbFus72kxvy//v/3zifGut514+GulOEGWFE3VZrIfhUFZ4lBVelGXFVVAdctkeAAAAABggeQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8AUDX2JJ7S+/Jq+NHrRvurWb8opxZ2pCnTh9A67EeAuhdJE8A0A02N+TM+Fk5fHNV7j90umkPn8itm1fkpfH35N6m0w1oFdZDAD2O5AkAOt6WzE1fkVtqZ/Xg2ElZ/vQT65HSVvPpJbk+tlvtvK7K4ekVjvyjhVgPAYDkCQA63NOlP8l5vcN6bk7+fuGQvNbn/EHr2ydnL1yVb87pHdcP5NTSlvMHoLlYDwGA5AkAOtyWZFefqPawXDi+w+7kYefxX8kp1b6/+i+O+qMFWA8BQCN5AoCO9l/5t763ZOzn8prdwcc++eWYaj3clLzdAWgi1kMA0EieAAAAAMAAyRMAAAAAGCB5AoCO9kP5yaBq3flK7tkdfGzI3+6o1mCf9NsdgCZiPQQAjeQJADraDhkZ3q3aq3It4AlmT5f+KrdU++DwT2Wn3QloItZDANBIngCgw+08/lu5Pihy/+ZZefXaSuVLSDc3ZO7aRXnp5hORwZNyK+BJaEAYrIcAIJIoKM5nSyKRkKpO6FDWsvrfA+dbayV+cCC+ZbG+o830tqxfNBpsQ86M2y8o9TQ4LMszb1W+e8fDcy8fjWydj/L3hLLCYz0Mj7LCo6zwoiwrroLqkDNPANAV9smfF+dk+dywHNT3nhQN7pZT5y7JN4v1d1iB8FgPAfQ2zjx1MWtZceYpFM48oRPobbn+Ef/m4Ih/eHEui/UwHMoKj7LCi7KsuAqqQ848AQAAAIABkicAAAAAMEDyBAAAAAAGuOepi+llhfBY39FubMvNEdW2zPJqDpZXd2F5dRf2bcLR66FfHZI8dTFrWUX4YIX1/7vifGut5I8P8cAI9JQo464ui4cChMPyCo/lFR7LKzyWF/wE1SGX7QEAAACAAZInAAAAADBA8gQAAAAABkieAAAAAMAAyROabEu+XJyT1Ngh68EPVjN2Xt5dfCCbTh8AusGW3Ft6T14dP2rd6Gw14xflzNKGPHX6QCdheXUXlld3YXmhjKftdTFrWXXS0/aePZB3374sd792vlfb/7rc+ONZeeUF57sPnraHXhNl3NVl1X261OaGnJm+IrceOt+rDQ7L8sxb8lqf892H3sGIcr7iWhbLKxyWV3gsL5ZXrwmqQ848oUm25GMncdp74rTc+GLFSras5ovLMnniRZGvP5d33l7mDBTQ0bZkztlRODh2UpY//cTaubCaTy/J9bHdIg9X5fD0CkdcOwLLq7uwvLoLywu1SJ7QFJuLN2RWJ07T78vC1cOVZ5deOCC/vnpdbk/rBOp9mVnccv4AoNM8XfqTnNc7Cufm5O8XDlUeTe3bJ2cvXJVvzukdhg/k1BLbcruxvLoLy6u7sLzgheQJTbAlayvfqvbrcnJ8h93JQ9/4b+SIaj9a+Sdnn4COtCXZ1SeqPSwXjvtvyzuP/0pOqfb91X9xtLWtWF7dheXVXVhe8EbyhCb4jzzT9zmdOCiv2B18HJBfnFCtr7+X7+0OADrKf+XfD1Vr7Ofymt3Bxz755ZhqPdyUvN0BbcHy6i4sr+7C8oI3kicAAAAAMEDyBAAAAAAGSJ7QBD+SF/ar1kf35Uu7g48H8o+PVGv/8/K83QFAR/mh/GRQte58JffsDj425G93VGuwT/rtDmgLlld3YXl1F5YXvJE8oQl2yNChF1X7c/kg4El6m4t/kbuqvffQz6TO6xAAtMUOGRnerdqrci3gyVFPl/4qt1T74PBPZafdCW3B8uouLK/uwvKCN5InNEXf+DsyuV/k0cxpSV1cli+fOX/Qnj2Qjy+el2Mz34rsPy3TAU/kA9BeO4//Vq4Pity/eVZevbYi99yPxtzckLlrF+Wlm09EBk/KrYAnUCEaLK/uwvLqLiwveEkUql6fy1uJu4e1rP73wPnWWokfHLBeeBvsgbw7Zr8o19P+1+XGH89WvgPKQ/LHhyKdL9Z3tFuUcVeXpV/wGGxDzozzRn0/LK/wWF4sLz8sr/CirMO4CqpDzjyhiQ7I7++8LzemX5e9+h6oov0vypHpy3L7Tv3ECUAn2Cd/XpyT5XPDclBf8180uFtOnbsk3yzW31FAlFhe3YXl1V1YXqjEmacuZi2rjjrz1ByceUKviTLu6rLqH2ltDo6Mh8fyCo/lFR7LKzzOPHWXoDrkzBMAAAAAGCB5AgAAAAADJE8AAAAAYIB7nrqYXlYIj/Ud7ca23BxRbcssr+ZgeXUXlld3Yd8mHL0e+tUhyVMXs5ZVlA9WiGtZrO9osyjjLmWFR1nhUVZ4uqy4PuyAhziEE2VZcRVUh1y2BwAAAAAGSJ4AAAAAwADJEwAAAAAYIHkCAAAAAAMkTwAAALG1JfeW3pNXx49aD0iwmvGLcmZpQ546fXSnuM4XOh3JEwAAQBxtbsiZ8bNy+Oaq3H/odNMePpFbN6/IS+Pvyb1Np1s3iet8oSuQPAEAAMTOlsxNX5FbKrk4OHZSlj/9xHoEuNV8ekmuj+1WycaqHJ5e6bIzNXGdL3QLkicAAICYebr0JzmvE4xzc/L3C4fktT7nD1rfPjl74ap8c04nGh/IqaUt5w+dL67zhe5B8gQAABArW5JdfaLaw3Lh+A67k4edx38lp1T7/uq/uuQsTVznC92E5AkAACBW/iv/1vcCjf1cXrM7+NgnvxxTrYebkrc7dLi4zhe6CckTAAAAABggeQIAAAAAAyRPAAAAsfJD+cmgat35Su7ZHXxsyN/uqNZgn/TbHTpcXOcL3YTkCQAAIFZ2yMjwbtVelWsBT5x7uvRXuaXaB4d/KjvtTh0urvOFbkLyBAAAEDM7j/9Wrg+K3L95Vl69tlL50tjNDZm7dlFeuvlEZPCk3Ap4cl2niet8oXskCorz2ZJIJKSqEzqUtaz+98D51lqJHxyIb1ms72izKOMuZYVHWeFRVni6LP1i2GAbcmbcfqGsp8FhWZ55q/JdSR6ee/ko8xVSXNfDuAqqQ848AQAAxNI++fPinCyfG5aD+l6hosHdcurcJflmsX6C0ZniOl/oBpx56mLWsuLMUyiceUIniOsRScoKj7LCi3NZ9c/QNEfnnXlqDs48wU9QHXLmCQAAAAAMkDwBAAAAgAGSJwAAAAAwwD1PXUwvK4TH+o52Y1tujqi2ZZZXc7C8ugvLq7uwbxOOXg/96pDkCQAAAAAcQfkQl+0BAAAAgAGSJwAAAAAwQPIEAAAAAAZIngAAAADAAMkTAAAAABggeQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8AQAAAIABkicAAAAAMEDyBAAAAAAGSJ4AAAAAwADJEwAAAAAYIHkCAAAAAAMkTwAAAABggOQJAAAAAAyQPAEAAACAAZInAAAAADBA8gQAAAAABkieAAAAAMAAyRMAAAAAGEgUFOezJZFISFUnAEAL6biL8KL67WJ5NQfLq7uwvLoL+/LhBOVDJE8A0GZRxl1d1v/7P58431rruZePRjpflBUOZYVHWeFRVnhRlhVXQXXIZXsAAAAAYIDkCQAAAAAMkDwBAAAAgAGSJwAAAAAwQPIEAPCwJfeW3pNXx49aD36wmvGLcmZpQ546fQAA0Gt42h4AtFnUT2Gq+7S9zQ05M31Fbj10vlcbHJblmbfktT7nuw+ethceZYVHWeFRVnhxLSuuguqQM08AAJctmXMSp4NjJ2X500+sZMtqPr0k18d2izxclcPTK5yBAgD0HJInAEDJ06U/yXmdOJ2bk79fOFR5dqlvn5y9cFW+OacTqA/k1NKW8wcAAHoDyRMAwLEl2dUnqj0sF47vsDt52Hn8V3JKte+v/ouzTwCAnkLyBABw/Ff+re9zGvu5vGZ38LFPfjmmWg83JW93AACgJ5A8AQAAAIABkicAAAAAMEDyBABw/FB+Mqhad76Se3YHHxvytzuqNdgn/XYHAAB6AskTAMCxQ0aGd6v2qlwLeJLe06W/yi3VPjj8U9lpdwIAoCeQPAEASnYe/61cHxS5f/OsvHptRe5tOn/QNjdk7tpFeenmE5HBk3Ir4Il8AADEUaJQ9fpc3koMANGK+s3z+oW3wTbkzLj9olxPg8OyPPNW5TugPDz38tFYvlGfssKjrPAoKzzKgp+gOuTMEwCgyj758+KcLJ8bloP6Hqiiwd1y6twl+WaxfuIEAEAcceYJANos6iOS9c88NQdnnsKjrPAoKzzKCi+uZcVVUB1y5gkAAAAADJA8AQAAAIABkicAAAAAMMA9TwDQZjruIryofrtYXs3B8uouLK/uwr58OEH5EMkTALRZlHFXl8UDI8KJ8/Ji3QiH7Ss81vnwolxecRVUh1y2BwAAAAAGSJ4AAAAAwADJEwAAAAAYIHkCAAAAAAMkTwAAD1tyb+k9eXX8qHWjs9WMX5QzSxvy1OkDnSTK5cW6ER51GB7rPNqDp+0BQJt13JOsNjfkzPQVufXQ+V5tcFiWZ96S1/qc7z70DkaU8xXXsqJcXqwb4bB9hcc6H16UyyuuguqQM08AAJctmXN2FA6OnZTlTz+xdi6s5tNLcn1st8jDVTk8vcIR144Q5fJi3QiPOgyPdR7tRfIEACh5uvQnOa93FM7Nyd8vHKo8mtq3T85euCrfnNM7DB/IqaUt5w9olyiXF+tGeNRheKzzaDeSJwCAY0uyq09Ue1guHN9hd/Kw8/iv5JRq31/9F0db2yrK5cW6ER51GB7rPNqP5AkA4Piv/Puhao39XF6zO/jYJ78cU62Hm5K3O6AtolxerBvhUYfhsc6j/UieAAAAAMAAyRMAAAAAGCB5AgA4fig/GVStO1/JPbuDjw352x3VGuyTfrsD2iLK5cW6ER51GB7rPNqP5AkA4NghI8O7VXtVrgU8Oerp0l/llmofHP6p7LQ7oS2iXF6sG+FRh+GxzqP9SJ4AACU7j/9Wrg+K3L95Vl69tiL3Np0/aJsbMnftorx084nI4Em5FfAEKkQjyuXFuhEedRge6zzaLVGoen0ubyUGgGh13Nv7ZUPOjNsvhvTU42/Uj/PyYt0Ih+0rPNb58KJcXnEVVIeceQIAVNknf16ck+Vzw3Jw0OmkDe6WU+cuyTeL9XcUEKUolxfrRnjUYXis82gfzjwBQJt13lHd5ojzkfG4Li/WjXDYvsJjnQ8vyuUVV0F1yJknAAAAADBA8gQAAAAABkieAAAAAMAA9zwBQJvpuIvwovrtYnk1B8uru7C8ugv78uEE5UMkTwDQZlHGXcoKj7LCi3NZPIAgHMoKL8qy4iqoDrlsDwAAAAAMkDwBAAAAgAGSJwAAAAAwQPIEAAAAAAZIngAAACK1JfeW3pNXx49aD36wmvGLcmZpQ546fQDoTDxtDwDajCc+hUdZ4VFWeLqsuk/b29yQM9NX5NZD53u1wWFZnnlLXutzvvvgaXvhURb8BNUhZ54AAAAisSVzTuJ0cOykLH/6iZVsWc2nl+T62G6Rh6tyeHqFM1BAhyJ5AgAAiMDTpT/JeZ04nZuTv184VHl2qW+fnL1wVb45pxOoD+TU0pbzBwCdhOQJAACg5bYku/pEtYflwvEddicPO4//Sk6p9v3Vf3H2CehAJE8AAAAt91/5t77Paezn8prdwcc++eWYaj3clLzdAUAHIXkCAAAAAAMkTwAAAABggOQJAACg5X4oPxlUrTtfyT27g48N+dsd1Rrsk367A4AOQvIEAADQcjtkZHi3aq/KtYAn6T1d+qvcUu2Dwz+VnXYnAB2E5AkAACACO4//Vq4Pity/eVZevbYi9zadP2ibGzJ37aK8dPOJyOBJuRXwRD4A7ZMoVL0+l7cSA0C0eMt9eJQVHmWFp8vSL7wNtiFnxu0X5XoaHJblmbcq3wHl4bmXj7K8QqIs+AmqQ848AQAARGaf/HlxTpbPDctBfQ9U0eBuOXXuknyzWD9xAtA+nHkCgDbj6Gd4lBUeZYWny6p/5qk5OPMUHmXBT1AdcuYJAAAAAAyQPAEAAACAAZInAAAAADDAPU8A0GY67iK8qH67WF7NwfLqLiyv7sK+fDhB+RDJEwAAAAA4gvIhLtsDAAAAAAMkTwAAAABggOQJAAAAAAyQPAEAAACAAZInAAAAADBA8gQAAAAABkieAAAAAMAAyRMAAAAAGCB5AgAAAAADJE8AAAAAYIDkCQAAAAAMkDwBAAAAgAGSJwAAAAAwQPIEAAAAAAZIngAAAADAAMkTAAAAABggeQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8AQAAAIABkicAAAAAMJAoKM5nSyKRcD4BAAAAQO+pSpFKapInAAAAAEAtLtsDAAAAAAMkTwAAAABggOQJAAAAAAyQPAEAAACAAZInAAAAADBA8gQAAAAABkieAAAAAMAAyRMAAAAAGCB5AgAAAAADJE8AAAAAYIDkCQAAAAAMkDwBAAAAgAGSJwAAAAAwQPIEAAAAAAZIngAAAADAAMkTAAAAABggeQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8AQAAAIABkicAAAAAMEDyBAAAAAAGSJ4AAAAAwADJEwAAAAAYIHkCAAAAAAMkTwAAAABggOQJAAAAAAx0YPKUl+zshAwNJSSRcJqhIZmYzaq/dKK8zOppHZptwvRlZaI4z4HNhOqzBfKzMjHUyLh9llW2M5cUAAAAEEaHJU86ERmQ0akFWV93Omnqy8LUqAw0JUGBn/xnt2XBXe9BVKI1lPBZVqMDMjTRkvQOAAAAaJvOSp6yf5ApvSOeTEsmV5BCwWlyGUknVff1KflDrPfJR2S+OM9Wk7PnW9VHrqL7vOqznbIyMTAl1qJKZSTnWla5XFpSaprXF0aF/AkAAABx0lHJU/67R+r/pKQ/nJSRfrubpX9EJtcyklIfF+5W7pHns1WXjSX0JX6u81PWGZKEDKluVr/V/ZS6qX4m3Ge27Evo9HDufhJDE+Ieva+8Gt41XUP6cjiT4bbDqKy8zE4Mlfqx6qDUk33p4YCVuS7IqB5HwEzmZ6+ovnROl5O1+RHpdy2r/v5Jmf8wrZaiGtOVyjOFdZeVJWg6XULPs0NNk/4biR4AAADqKnSSTKqgJ0ntlDsdguXSSat/ryaVKfVUUDvyhWQqZbXL/SQL6Yz9N/dwUhowU1DJmsdwulHDliYxV0gnVbdkWn1yOGVWDqMb93AmPMZdzagsZzwe/dmzW/t3/2VQ7DelashfLlc5vNGyqjudjqbMs8NZ5yq6AQAAAB4667K9kXnJpJKyPjVgnSUYmpiQ2WxW8h4nHvRZhc9u6zMlqapL/JyzHlVnqNYXFmRvJmdfWpbR57DWZWp0SiRtdysOJ4++qzhboodb15emWePPSUbtkVvD+l4/mJfZN/UlbUmVhznjtsrU4w8abjsMy8p/JrqqrEvsnH4q66lfJtfUcNa8qfpUf1+bdJ/6c8vJY6vajwReOtjvPh1luqzqTqfWrHl2qHVO/22+vddBAgAAoBuoHceOk8tlCulUsursQrKgdpadPirpsxyZTFoN4zpLVDyVUDxLUXm6wTqrVHlGxzlTUerm1Y9N5V6qjOKZl6rhime6PM7c2Gdfgs/YVKqepiqmZRXrIKnqMJ0uZKrOChWZTZ9TL9s8VWO0rIKms8nzDAAAAJjqwEeV67MWIzI5vyZr1hmDnHVWQT+EwHqKm/seGed+poGBARkdnZIpfZbI+VO15J4B55PL3l1SPj/SL7v2Oh/dKvqxDexREyOP5DuvM2K5x9Y02GfPyvfk6Ma+p8hnuO0wLat/Ui5ZJ9v0UwunZFTVl+5H3+PldTtRS5gsK5Pp7KZ5BgAAQKx0ZPJUqV/6RyZlfu1D68lz67c/cy6rcz/xLSXpdEYyGZVoFewHS6DSyLx9aZtOQovWF3RS0eg7owbEyh0X7gYOl9fvfyolKubLqnnT2dxxAQAAAB2UPKkdbH0GwfddTs6ZofXHktNf89+JfjZfKlOQtfl5mZwckZERlWg53Zum6h4oVbBz/85e2eV1W9DAHuu+Gj1dheK9NhXNmvjeTtSoBsuyk1D7bzn9+Hcrc1mQqtvD6uiXN45Z2ZNc8X0iX1b+oN//tPBY997wsgqczrbMMwAAANBRydOIHNE7tutT8mbNpVX2Y8avWM/H3iPuC/D0zf+lXvXjq62HCSg1Sc826emZLZaRl+zsm/a7qPwemND/hujcYmF0SGbdM6GmTT8OPJFo4lkP07Kcx3EPleZDDdo/ILusU0hJqbyisf5lhf2Tl6wzRvrSOf0yXPcDPfL5WZkYGnUeZf67ijqqu6xMprMl8wwAAAAYKHQU52EEvo3Zo6itJvABDt4PPbAeBFHzwIjqB1foxv1QBY+HOjiPv/Zq/B8B7qXOAyM0o7IC6so1bvuBC3b3utNZfCCDX1NRt4bLynA6mznPxXFVrQoAAABAjQ6752lE5q3HgadUzuJ0siQlmUpLJue+JKtfJj/MVNzPonqSdEYNb50WcS7vC2vvJVlTIywWY0/HfOBjuq3HX+cq77XRM6Qfre3/CPBtMipLP4o8J+nKntS8ZCS3NmldWadZZ5ScXtYf58pnibz0T8qadRmcGo/TyeKUXah49rfpsjKbzmbOMwAAAGAqoTMo5zMq6HuwRmVB7WxXJgIAAAAAelEXPG0PAAAAANqP5AkAAAAADJA8AQAAAIAB7nkCAAAAAAOceQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8AQAAAIABkicAAAAAMEDyBAAAAAAGSJ4AAAAAwADJEwAAAAAYIHkCAAAAAAMkTwAAAABggOQJAAAAAAyQPAEAAACAAZInAAAAADBA8gQAAAAABkieAAAAAMAAyRMAAAAAGCB5AgAAAAADJE8AAAAAYIDkCQAAAAAMkDwBAAAAgAGSJwAAAAAwQPIEAAAAAAZIngAAAADAAMkTAAAAABggeQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8AQAAAICBzkye8lmZnRiSoURCEsVmaEgmsnmnhy6Rn3XmYUhmu2zSAQTo8hiVz07I0FB3TjvQtbp930bt00y44sbQxKwQNtCLEgXF+dwZ9I/66IKsO19rpDJSmB9xvnQwFSQn3hyVBWtGkpLOrclkv/UXAN2sy2NUfnZIBqa8pz6ZzskagQpovm7ft9EHgwemPKY/JZnCvHTBXhnQNJ115klvnEHBRVsYlaGOPo2Tt4/qDhQTJwCx0fUxKit/KCZOamctVyhIoZCTdMrutD71B9UHgKaKwb5N9g/FxEklSzkVN3JpSVrfF+QKl9agx3RU8lTeOEWSpR92+8c9k7Y3U2399mcqRSnLz6pkxX0aPDEkEzUbc97jdPmE9+V0zqn1yvFlK8r0k599UwbqBUkAXanrY1T+O3mUtKczdWRE7HNM/TJ5xMme5JF8ZxLoABjr/n0b3UdSdOhIpn8nIzpw9L8hx5xJX3+csz8AvUJfttcZMgX1860vISxIKuN0q5RJSSGZShcyKvIU5dJJexiPJpku9pgrqPjk2Y8KBYVSb1ouXVDxwKM/1STTakzBitOjAmQhl0k5w1aVAaALxSNGeSlPI7EKaK54xo3y/o0UfGYLiK3OSZ5cG7b5hlgOSqlSlFDdisGkOCL3uIv95bwCmisQqWBSCmSu4ctBy1sunVLT7/RD8gTER0xiVC1XOdtMvgD4iGHc0MmeNS61b1OePqB3dHny5JLLFTLpdDm46Ka4I+AatyRThbT78I5bwDSUjgI1snNB8gTERxxjlHuHzGOcAEKKXdyoOtulyiVsoNd0/XuerIcz6Gt3BwZkdGrK+yEN/ZNySUUey/qCTI0OWNf6Dk1kJe9zse/CaPGaYLspPZ1q/bFwdS8AUx0bo/QTQRPlB9sk0znphgeZAr2gc/dt+mVyzb5fSyVRVrmjQ7MG900B8dE5yVP/LtnrfFy46/28p6y+KdL9XoH8rLxZfDhDMimpdEZyOWeDrjIyvyaFXEbSxUCjhlpfGJWBgUT5CTe5xzzoAYC3OMUonTjpJ4I6X3XixCPKgRaI7b6NSqIupeyP67fls+K0A73AOQPVEcrX0eqbJzOuU8j6tLX75knnNHHpsjj3aWPXKeWgc+Q51V+pPGf4sKfXq3HZHhAr8YhRrnsiVNP4PVIAGtH1cUMNn0omrXFUDM8+DnpUR122N/K74nsD9JngURkonVrWp63Lx02sR2U6n20Lctc5ZJPP/kFcvdqyE6VT1KU3efeL7CqV5nA9enPhyoTrKJC+vMWZlgneggL0qjjEqOwEZ5yAKHV93OjfpSZ83Tp7tXDFuURPDTt7xYkkyWPyBmEEvcRJojpHJlU6QuLZVNzUWHkEtaYp9es6YuPVuA+luI7Q1Dbuo0AGOCoDxE83x6jAYXVDrAJaotv3bUr7M9VNsjlX6gBdpPOSJy2XKaRT9ini0gaa1Buox6+6dTrZtRHrX37PpEWfHq8KXnqcafcpdIdTfqk/1VS/g8EIyRMQT10ao4LeHWM3xCqgZbp83yaXqX7qn0q6DIcF4iSh/1MbAQAAAAAgQNc/qhwAAAAAokDyBAAAAAAGSJ4AAAAAwADJEwAAAAAYIHkCAAAAAAMkTwAAAABggOQJAAAAAAyQPAEAAACAAZInAAAAADBA8tSA/OyQJBIJ72ZoQmazeafPannJzk7I0JC7/yGZmM2qv/jZzjDNkpdZV7lDs64S87MyUTFNE+I72wGyE2rYiazzzUA+K7MTrvrXdWFYcD5bWY9DE7PmdbidclUdDRX792yGxF2lXkJNc4WsTOhxuOq6Yj0e2u54YYq4of7SpPW50bhh9e+U6W4qYpqPfFZtxxX12ECs206cbELcqFS77QeqE+uIG9EiblRrbH3e1rYfZhts8+9+uHi1/f0rPd9BsS62caMAY7l0sqCrLKhJZZyei3KZQirp3a/VJFOFTM7ptyRXSAcOk1Z9tFJl+cm0U1ouXUi6p6PUJAvFXkyU6rGmsvyoOqwp027qjcJ/mal6d/rxt81yfeup2ATXV7hprpRJOcO6Jrhi/C1fl9DrcaNZ63NpPMZxw78+SjHNTyblOZxRrNtunAwZN6p5bfv+6sc64ka0ej1uVGtsfd7mth9mG2zn736YeLXd/RzNINbFNW6QPDXAXgm8V+RcceWtWDnKG3Ayla4MWirIpVPOSlW9QrnGVTOMMz6j+LFtznRXTVcxeKVKE5UrZJwNo+7OiEX1X5xn3RjORLHcpOq/VIraaK0NPnBjdIJCRT2Wp6Fe8dsv14ezXIPrKtw0u1UErZoBvZcxmq+340Yz1uftxQ29reof9sbnuVj/agegNNFqGorbU50Rho+TVYziRqXgbb+WeawjbkSl1/c33Bpdn7e/7fvYxjZYYjRsmDjZnHi1nf0c81gXv7hB8tSAoGCm2StS+e/FDT5oo/Hqx+7md8TA2cgCNwinn8DGfz78VnRr/mpWfpPp0YrTlFQbmrNh1h1GKwcV/1pskBNYTYNZc8oNOT6jaXYp/Xj4LZ/4BbNO1etxw5Px+lycpkbjhmLttPjVRwDfaTObv3BxspozXCPbad1tv1ojZRA3okLccDS8Pivb3fY9NbJ9VAszrGISJ0PFq3DTZx7r4hc3uOepZfLy2e111U7Jpcl+u5OH/slLqg+R9dufla4F7d+1V/2/Lrc/87o6dETmddI7P+J8j87AHrWJrk/JHyqug78iC6qd3DNgdwiwJ5WRXGFN5kd2OV0MZO9a409dmhT/WmxEXrJ/mFK1m5RjbwSMscnlZidG1fiSkv5wO+MznOaSrEwMqP5VfbdhNUEo8YsbtRpbn7cVN5T8d4/U/6pOchPlexH0vSJe1ePWPylrqq7W/Op/767AbThsnHRrPG5sY9tveoxF9OIaN7b3W7btbd9DmN/uSH73w8SrkNt+M2Nd13GSKBgIOhJUOo1eyrbNj5JUH0HSypepJAvJVKqQzmQKuchSdr+jBOXTyO5Gn+5tjHndlI8g6dPBKesIi1VuUh+JbqRCnHmyhlfjq1d008pVnCNDRvNbocFpdlQeDfKr6/gdCepUxI2i7a3PZQ3EDcWuH++m4U1RKR61rz9sk+LkNuKG2bZfpaFYR9yICnHDmdZG12eladv+tn+7lYh/96sZxavQ+zmmsS5+cYPkqQHFldG/0Suh03PIYKblnOuUSyu0U0bDO+8N81nR1fR43oza8AZhXjd2nas68CpXNYGnsyvoMt3jcS+rWs0rt7h8g8vz1tg0W0rB0PnuW9fsBEWl5+NGyTbW5wrmdVOaFl2Ga7697xWpr3ZnNUCT4mTDccN426/UWKwjbkSl5+PGNtfn0vj0sCG3/e3/docZVs9nmDjpmtembvsejGNd/OIGyVMDgoJZsuYpNuGDWaWcWk/TakW1pyF4pXbKDmyCyvNa0f0DUuNHV8zrplTnVfVbKrduvXnQG7w1Tv8NuXnlms9rIINpVhNtTVvluuFXfvyCWafq7bjhw2R9rmFeN0Ea26lxHVk1mtZmxckG57Whbb9SY7GOuBGVno4bIdbnII1t+2HKCz+tlobjZGPxKtx+TiOxLn5xg+SpAfaKVi/oFBVXrHr9N75x1F8JnXEGNs0IZjazYOzWQGBRG6JfsLOXh2kgrFR32GaVa41ne5cJVatXrv334vL1atzDxi+YdSp7ufRo3AjQ0HZkaSBuBDAvt7gs6u08ujQrTjYYNxrb9qs0FOuIG1Hp5bgRan0OYL7tK2F+uyP83S/bRrxqaNuv0lCsi1/c4IERLdMvbxxTq5YsyJWAuxRLN9cde8O5Yc95EZzvy8T6xb6/87Hk7A4enJs8A5t51VdzWDcNyiP5bhs3Y9Y1sEeSsi6P/WfWX/GldY28jLcoTLku2bvW7ZhyxLSyw0wzYiBmcaNd67NTrtcLMXOP9Y31e2VX4B3Suj4HZGo9qXK1nP/N2A1oJE42HDfCaFKsQzv1zv5GXaG3fVuYbTD63/1txqsWbfst3SfsFGrFhqHGjgRpriMBDbx3wc7aPYZRfZVOibY0g/c6SlA8upT0PkXb0PQ0cgS5WIfbKbdc/+7rtvWwXvVeKUy5RV71WE+YafbiV9fbmTZsR2/HjWauz9uLG+Vy9U3RTt3VGYddlwFHXX01I042a9s0ra9yXdWf5mZNG+rp7bjhpfH1eTvbvi3Mer6dYcvLbjtxcvvxqlxXjcerRmJdmPrsTCRPDWg8mGlqBXM2Cs+m5tplrbhS+jXb2Uga4bOiFzdkj8YoHpWYBkGHc3p4W+UWN+SaxqAOw5RraXA+i8JMcw2/aYhfMOtUxI1mrc8Nbk++8apOuQHbvd3UWZah4+Q240aNBsZjHOuIG1Hp+bhRo4H1ebvbfkmYbXCbw243ToaNVyH3r7yG003c4waX7bXciMyv5SSTTklSraEl6ksqnZHc2ryM1Jxh1afBPYaRpIp9acnk1qQJV5E0bmRecpm0qOBclkyJ2rBb+z4h/R6DXEaV6yrYtFw1zWu5ymlOqmGN6jBMuVr+O9Fvm2j4fQdhphkxEa+40Zb1WZWrdgyqyq1fD/nPbou+uGfbwsbJ7caNMMLGOnSIGMWNMLa57ZeE2QYj/t0PHa9C7l+1ZZ+wAyR0BuV8Bhx5mR0akClJq2DLixPjiWWMZmOdij+WMZqNdSr+4reMOfMEAAAAAAZInuBvfUoGfJ5ag+6Vnx2ShPVkHqcD0EzEjVgibqCliBuxFNe4QfIEAAAAAAa45wkAAAAADHDmCQAAAAAMkDwBAAAAgAGSJwAAAAAwQPIEAAAAAAZIngAAAADAAMkTAAAAABggeQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8AQAAAIABkicAAAAAMEDyBAAAAAAGSJ4AAAAAwADJEwAAAAAYIHkCAAAAAAMkTwAAAABggOQJAAAAAAyQPAEAAACAAZInAAAAADBA8gQAAAAABkieAAAAAMAAyRMAAAAAGEgUFOdzbCUSCecTgFaIYxghbgCtRdwA0KhOiBs9kzwV/vfA+dZaiR8ckPX/u+J8a63kjw9FOl9RrSrW8qKsUOJaVpSs+SJuhGLFjbiWxbYcSqzjBssrFMoKj7Jai8v2AAAAAMAAyRMAAAAAGCB5AgAAAAADJE8AAAAAYIDkqW225MvFOUmNHbJu4LaasfPy7uID2XT6AIBKxA0AANqJ5Kkdnj2Qd8dOyzszn8ujr51u2tffyt2Zy3JsbE6+fOZ0AwCNuAEAQNuRPEVuSz5++7LcVTs/e0+clhtfrFiPKLaaLy7L5IkX1c7Q5/LO28scSQbgIG4AANAJSJ4itrl4Q2b1DtD0+7Jw9bC88oLzB+2FA/Lrq9fl9rTeEXpfZha3nD8A6GXEDQAAOgPJU6S2ZG3lW9V+XU6O77A7eegb/40cUe1HK//kKDLQ84gbAAB0CpKnSP1Hnul7FU4clFfsDj4OyC9OqNbX38v3dgcAPYu4AQBApyB5AgAAAAADJE8AAAAAYIDkKVI/khf2q9ZH9+VLu4OPB/KPj1Rr//PyvN0BQM8ibgAA0ClIniK1Q4YOvajan8sHAU/E2lz8i9xV7b2HfiZ9dicAPYu4AQBApyB5iljf+DsyuV/k0cxpSV1crnyp5bMH8vHF83Js5luR/adlOuDJWgB6B3EDAIDOkCgozufYSiQSUvjfA+dbayV+cMB6cWWwB/LumP3CS0/7X5cbfzxb+S4XD8kfH4p0vqJaVazlRVmhxLWsKFnzRdwIxYobcS2LbTmUWMcNllcolBUeZbUWZ57a4oD8/s77cmP6ddmr72Uo2v+iHJm+LLfv1N8BAtBriBsAALQbZ56azOwIcnNw5ik8ygovyrKiZM0XcSOUyM8GEQ9DIW6Ex/IKj7LCo6zW4swTAAAAABggeQIAAAAAAyRPAAAAAGCgZ+55AtA6cQwjxA2gtYgbABrVCXGDB0Y0WaxvkObG71CivNExrmVFibgRni6LB+iEQ9zoLiyv8OJc1v/7P58431rruZePsrxaiMv2AAAAAMAAyRMAAAAAGCB5AgAAAAADJE8AAAAAYIDkCQDQZlvy5eKcpMYOWQ9+sJqx8/Lu4gPZdPoAgN6wJfeW3pNXx49aD36wmvGLcmZpQ546faC9SJ4AAO3z7IG8O3Za3pn5XB597XTTvv5W7s5clmNjc/LlM6cbAMTZ5oacGT8rh2+uyv2HTjft4RO5dfOKvDT+ntzjiFLbkTwBANpkSz5++7LcVUnT3hOn5cYXK9ajza3mi8syeeJFlUR9Lu+8vcwZKAAxtyVz01fklkqaDo6dlOVPP7EebW41n16S62O7VRK1KoenVzgD1WYkTwCAtthcvCGzOnGafl8Wrh6WV15w/qC9cEB+ffW63J7WCdT7MrO45fwBAOLn6dKf5LxOnM7Nyd8vHJLX+pw/aH375OyFq/LNOZ1AfSCnloiH7UTyBABogy1ZW/lWtV+Xk+M77E4e+sZ/I0dU+9HKPzn7BCCmtiS7+kS1h+XCcf94uPP4r+SUat9f/Rdnn9qI5AkA0Ab/kWf6HqcTB+UVu4OPA/KLE6r19ffyvd0BAGLmv/JvfY/T2M/lNbuDj33yyzHVergpebsD2oDkCQAAAAAMkDwBAAAAgAGSJwBAG/xIXtivWh/dly/tDj4eyD8+Uq39z8vzdgcAiJkfyk8GVevOV3LP7uBjQ/52R7UG+6Tf7oA2IHkCALTBDhk69KJqfy4fBDxJb3PxL3JXtfce+pm4Hz4FAPGxQ0aGd6v2qlwLeJLe06W/yi3VPjj8U9lpd0IbkDwBANqib/wdmdwv8mjmtKQuLle+DPfZA/n44nk5NvOtyP7TMh3wRD4A6HY7j/9Wrg+K3L95Vl69tlL5MtzNDZm7dlFeuvlEZPCk3Ap4Ih9aL1FQnM+xlUgkpPC/B8631kr84ABlhRR5WRFtAtZ6SFldg7gRni5Lv/A22AN5d8x+Ua6n/a/LjT+erXwHlIfkjw8RN0IiboTH8govzmXpF94G25Az4/aLcj0NDsvyzFuV74Dy8NzLR1leLcSZJwBAGx2Q3995X25Mvy579T1QRftflCPTl+X2nfqJEwDEwz758+KcLJ8bloP6Hqiiwd1y6twl+WaxfuKE1uPMU5PF+QhybMvi6EwonXIkqNmIG+HpsuqfeWoOzjyFR9wIj+UVXpzLqn/mqTk489RanHkCAAAAAAMkTwAAAABggOQJAAAAAAz0zD1PAFonjmGEuAG0FnEDQKM6IW70zgMjIprNyMvixu9Qor7xm5tFu4eer9iu85QVCmWFZ5UV07gRx9gb57L4XQ4nrmUF4bI9AAAAADBA8gQAAAAABkieAAAAAMAAyRMAAAAAGCB5QpNtyZeLc5IaO2TdBG81Y+fl3cUHsun0gXq25N7Se/Lq+FHrBlOrGb8oZ5Y25KnTBzoJ6zwAxBu/yygjeULzPHsg746dlndmPpdHXzvdtK+/lbszl+XY2Jx8+czpBm+bG3Jm/Kwcvrkq9x863bSHT+TWzSvy0vh7co898s7BOg8A8cbvMqqQPKFJtuTjty/LXbUDuffEabnxxYr1mGer+eKyTJ54Ue1Qfi7vvL3M0XhfWzI3fUVuqeB8cOykLH/6ifUIVav59JJcH9utgvWqHJ5e4UhXR2CdB4B443cZtUie0BSbizdkVu9ETr8vC1cPyysvOH/QXjggv756XW5P653J92Vmccv5A9yeLv1JzusAfW5O/n7hkLzW5/xB69snZy9clW/O6UD9gZxaog7bjXUeAOKN32V4IXlCE2zJ2sq3qv26nBzfYXfy0Df+Gzmi2o9W/smR+Bpbkl19otrDcuG4fx3uPP4rOaXa91f/xVGutmKdB4B443cZ3kie0AT/kWf6fo8TB+UVu4OPA/KLE6r19ffyvd0BJf+Vf+trqcd+Lq/ZHXzsk1+OqdbDTcnbHdAWrPMAEG/8LsMbyRMAAAAAGCB5AgAAAAADJE9ogh/JC/tV66P78qXdwccD+cdHqrX/eXne7oCSH8pPBlXrzldyz+7gY0P+dke1Bvuk3+6AtmCdB4B443cZ3kie0AQ7ZOjQi6r9uXwQ8FSxzcW/yF3V3nvoZ+J+YA20HTIyvFu1V+VawBN7ni79VW6p9sHhn8pOuxPagnUeAOKN32V4I3lCU/SNvyOT+0UezZyW1MXlyheDPnsgH188L8dmvhXZf1qmA55O1st2Hv+tXB8UuX/zrLx6baXypXubGzJ37aK8dPOJyOBJuRXw5B9Eg3UeAOKN32V4SRQU53NsJRIJiWo2Iy/rfw+cb62V+MEB6+WfwR7Iu2P2S0M97X9dbvzxbOX7cDwkf3wo0vmKcnnpF+sF028yt1/I52lwWJZn3qp814SH514+Gst1Pkp6vmK7zlNWKJQVnlVWTONGHGNvnMvidzmcuJYVhDNPaKID8vs778uN6ddlr74fpGj/i3Jk+rLcvlN/JxL75M+Lc7J8blgO6mutiwZ3y6lzl+SbxfoBGlFinQeAeON3GZU489RkkZcV4VHC+kfhm6O3zzw1B2eewtPzFdt1nrJCoazwrLJiGjfiGHvjXBa/y+HEtawgnHkCAAAAAAMkTwAAAABggOQJAAAAAAz0zD1PAFonjmGEuAG0FnEDQKM6IW7wwIgmi7wsbloOJcqblqNeN+J4E2yU2L7Ci/W2HOF88bCe7hHX2Bv17xdlhUNZrcVlewAAAABggOQJAAAAAAyQPAEAAACAAZInAAAAADBA8gT0tC25t/SevDp+1Lr52GrGL8qZpQ156vQBoBtsyZeLc5IaO2Q9+MFqxs7Lu4sPZNPpA52E2At0K5InoFdtbsiZ8bNy+Oaq3H/odNMePpFbN6/IS+PvyT32uoDO9+yBvDt2Wt6Z+Vwefe10077+Vu7OXJZjY3Py5TOnG9qP2At0NZInoCdtydz0FbmlfrgPjp2U5U8/sR6vazWfXpLrY7vVD/mqHJ5e4Sgo0NG25OO3L8tdlTTtPXFabnyxYj3a3Gq+uCyTJ15USdTn8s7by5yB6gjEXqDbkTwBPejp0p/kvP7xPjcnf79wSF7rc/6g9e2Tsxeuyjfn9I/4B3Jqacv5A4BOs7l4Q2Z14jT9vixcPSyvvOD8QXvhgPz66nW5Pa0TqPdlZpFtud2IvUD3I3kCes6WZFefqPawXDi+w+7kYefxX8kp1b6/+i+OgAIdaUvWVr5V7dfl5Lj/ttw3/hs5otqPVv7J2ae2IvYCcUDyBPSc/8q/9XX2Yz+X1+wOPvbJL8dU6+Gm5O0OADrKf+SZvsfpxEF5xe7g44D84oRqff29fG93QFsQe4E4IHkCAAAAAAMkTwAAAABggOQJ6Dk/lJ8Mqtadr+Se3cHHhvztjmoN9km/3QFAR/mRvLBftT66L1/aHXw8kH98pFr7n5fn7Q5oC2IvEAckT0DP2SEjw7tVe1WuBTzN6enSX+WWah8c/qnstDsB6Cg7ZOjQi6r9uXwQ8CS9zcW/yF3V3nvoZ+J+uBuiRuwF4oDkCehBO4//Vq4Pity/eVZevbZS+ULGzQ2Zu3ZRXrr5RGTwpNwKeCoUgPbqG39HJveLPJo5LamLy5Uvw332QD6+eF6OzXwrsv+0TAc8kQ/RIPYC3S9RUJzPsZVIJCSq2Yy8rP89cL61VuIHB+JbVkzXDf3SxWD6Lff2yxo9DQ7L8sxble8h8fDcy0cjm68osX2FF+ttOcL50i+8DfZA3h2zX5Traf/rcuOPZyvfAeUh+eNDsVxeUYpr7I3694uywqGs1uLME9Cz9smfF+dk+dywHNTX4RcN7pZT5y7JN4v1f7wBdIID8vs778uN6ddlr74Hqmj/i3Jk+rLcvlM/cUKUiL1AN+PMU5NFXhZHq0OJ/Gh1hGXVP/rZHJx5Ci/W21dct+UI56v+mafm4MxTeHGNvVH/flFWOJTVWpx5AgAAAAADJE8AAAAAYIDkCQAAAAAM9Mw9TwBaJ45hhLgBtBZxA0CjOiFu8MCIJrPK4sbvUCK/8ZuyQomyrChFXoc8gCCUyOMGcT6UKJdXlKKOGzycIpzIyyJuhNIpcYPL9gAAAADAAMkTAAAAABggeQIAAAAAAyRPAAAAAGCA5AkA4GFLvlyck9TYIevBD1Yzdl7eXXwgm04fALrBltxbek9eHT9qPfjBasYvypmlDXnq9AHAHMkTAKDSswfy7thpeWfmc3n0tdNN+/pbuTtzWY6NzcmXz5xuADrX5oacGT8rh2+uyv2HTjft4RO5dfOKvDT+ntzjaAjQEJInAIDLlnz89mW5q5KmvSdOy40vVqxHm1vNF5dl8sSLKon6XN55e5kzUEBH25K56StySyVNB8dOyvKnn1iPNreaTy/J9bHdKolalcPTK5yBAhpA8gQAKNlcvCGzOnGafl8Wrh6WV15w/qC9cEB+ffW63J7WCdT7MrO45fwBQKd5uvQnOa8Tp3Nz8vcLh+S1PucPWt8+OXvhqnxzTidQH8ipJbZlwBTJEwDAsSVrK9+q9utycnyH3clD3/hv5IhqP1r5J2efgI60JdnVJ6o9LBeO+2/LO4//Sk6p9v3Vf3H2CTBE8gQAcPxHnul7nE4clFfsDj4OyC9OqNbX38v3dgcAHeW/8m99j9PYz+U1u4OPffLLMdV6uCl5uwOAOkieAAAAAMAAyRMAAAAAGCB5AgA4fiQv7Fetj+7Ll3YHHw/kHx+p1v7n5Xm7A4CO8kP5yaBq3flK7tkdfGzI3+6o1mCf9NsdANRB8gQAcOyQoUMvqvbn8kHAk/Q2F/8id1V776GfifsBXgA6xQ4ZGd6t2qtyLeBJek+X/iq3VPvg8E9lp90JQB0kTwCAkr7xd2Ryv8ijmdOSurhc+TLcZw/k44vn5djMtyL7T8t0wBP5ALTXzuO/leuDIvdvnpVXr61Uvgx3c0Pmrl2Ul24+ERk8KbcCnsgHoFKioDifYyuRSEhUs2mV9b8HzrfWSvzgQHzLinJ5UVYoUZYVpcjrMMLtS7/wNtgDeXfMflGup/2vy40/nq18B5SH5I8PxTduEOdDiXJ5RSnquKFfeBtsQ86M2y/K9TQ4LMszb1W+A8rDcy8fjXb7imtZxI1QOiVucOYJAFDlgPz+zvtyY/p12avvgSra/6Icmb4st+/UT5wAdIJ98ufFOVk+NywH9T1QRYO75dS5S/LNYv3ECUAlzjw1GUcWwovyyEKsj3DFsKwoRV6HEW5f9c88NQdnnsIjzneXqONG/TNPzcGZp/CIG+F1StzgzBMAAAAAGCB5AgAAAAADJE8AAAAAYKBn7nkC0DpxDCPEDaC1iBsAGtUJcYMHRjRZ1DcExvXGb26CDSeuZUUpznGDG4nDifO6EelvCnEjFMoKL/Ky4rotxzDOB+GyPQAAAAAwQPIEAAAAAAZIngAAAADAAMkTAAAAABggeeoJW/Ll4pykxg5ZN/ZZzdh5eXfxgWw6fXSnLbm39J68On7UevCD1YxflDNLG/LU6QMA0Gxx/U0Beg3b8naQPMXdswfy7thpeWfmc3n0tdNN+/pbuTtzWY6NzcmXz5xu3WRzQ86Mn5XDN1fl/kOnm/bwidy6eUVeGn9P7rHlA0BzxfU3Beg1bMvbRvIUa1vy8duX5a7aKPaeOC03vlixHl1pNV9clskTL6qN5HN55+3lLjvCsCVz01fklkqaDo6dlOVPP7EebW41n16S62O7VRK1KoenVzgDBQBNE9ffFKDXsC2HQfIUY5uLN2RWbxjT78vC1cPyygvOH7QXDsivr16X29N6A3lfZha3nD90vqdLf5LzOnE6Nyd/v3BIXutz/qD17ZOzF67KN+d0AvWBnFrqnvkCgE4W198UoNewLYdD8hRbW7K28q1qvy4nx3fYnTz0jf9Gjqj2o5V/dsnRhS3Jrj5R7WG5cNx/vnYe/5WcUu37q//i7BMAhBbX3xSg17Ath0XyFFv/kWdfq9aJg/KK3cHHAfnFCdX6+nv53u7Q4f4r/9b3OI39XF6zO/jYJ78cU62Hm5K3OwAAti2uvylAr2FbDovkCQAAAAAMkDwBAAAAgAGSp9j6kbywX7U+ui9f2h18PJB/fKRa+5+X5+0OHe6H8pNB1brzldyzO/jYkL/dUa3BPum3OwAAti2uvylAr2FbDovkKbZ2yNChF1X7c/kg4Ekpm4t/kbuqvffQz8T90LrOtUNGhner9qpcC3iS3tOlv8ot1T44/FPZaXcCAGxbXH9TgF7DthwWyVOM9Y2/I5P7RR7NnJbUxeXKl509eyAfXzwvx2a+Fdl/WqYDnrjSaXYe/61cHxS5f/OsvHptpfJluJsbMnftorx084nI4Em5FfBEPgCAubj+pgC9hm05nERBcT7HViKRkKhm0yrrfw+cb62V+MEB64VmwfQbpO0XoXna/7rc+OPZymf8e0j++FCk86VfeBtsQ86M2y/K9TQ4LMszb1W+A8rDcy8fjXbdoKyuEee4Eduy4rp9xfU3hbgRCmWFF3lZcd2WYxjng3DmKfYOyO/vvC83pl+Xvfoa16L9L8qR6cty+079DaMz7ZM/L87J8rlhOajvgSoa3C2nzl2SbxbrJ04AgEbF9TcF6DVsy9vFmacm67wjC83ReWeemoMzT+FFWVaU4hw3YltWXLevuP6mEDdCoazwIi8rrttyDON8EM48AQAAAIABkicAAAAAMEDyBAAAAAAGeuaeJwCtE8cwQtwAWou4AaBRnRA3eueBEXG9QTquZUW0Wup1g4dThBNlWVGKax1SVni6rEjjBnG+a7DOh6fX+dj+LrN/GEqnxA0u2wMAAAAAAyRPAAAAAGCA5AkAAAAADJA8AQAAAIABkifAyJbcW3pPXh0/at1gajXjF+XM0oY8dfoAgErEDfSaKNd5ti+0B8kTUM/mhpwZPyuHb67K/YdON+3hE7l184q8NP6e3Nt0ugGARtxAr4lynWf7QhuRPAGBtmRu+orcUsH54NhJWf70E+sRqlbz6SW5PrZbBetVOTy9wpEuAA7iBnpNlOs82xfai+QJCPB06U9yXgfoc3Py9wuH5LU+5w9a3z45e+GqfHNOB+oP5NTSlvMHAL2MuIFeE+U6z/aFdiN5AnxtSXb1iWoPy4XjO+xOHnYe/5WcUu37q//iKBfQ84gb6DVRrvNsX2g/kifA13/l3w9Va+zn8prdwcc++eWYaj3clLzdAUDPIm6g10S5zrN9of1IngAAAADAAMkTAAAAABggeQJ8/VB+Mqhad76Se3YHHxvytzuqNdgn/XYHAD2LuIFeE+U6z/aF9iN5AnztkJHh3aq9KtcCntjzdOmvcku1Dw7/VHbanQD0LOIGek2U6zzbF9qP5AkIsPP4b+X6oMj9m2fl1WsrlS/d29yQuWsX5aWbT0QGT8qtgCf/AOgdxA30mijXebYvtFuioDifYyuRSEjhfw+cb62V+MEBygrJKiui1VKvG/rFesH0m8ztF/J5GhyW5Zm3Kt814eG5l49GOl9xLCtKca1DygpPlxVp3CDOdw3W+eas87H9XWb/MJROiRuceQLq2id/XpyT5XPDclBfa100uFtOnbsk3yzWD9AAeg1xA70mynWe7Qvtw5mnJot1th/DIwtmR9OagzNP3SWudUhZ4emyIo0bxPmuwTofntmZp+bgzFN4vRg3OPMEAAAAAAZIngAAAADAAMkTAAAAABjomXueALROHMMIcQNoLeIGgEZ1QtzomeRp/f+uON9aK/njQ7G8cc660ZGyQqGs7sLyCi/qsnj4SzhxLStKLK/wKCs8q6wI90Uj3ceOqA6DcNkeAAAAABggeQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8VdiSLxfnJDV2yLopzWrGzsu7iw9k0+kDANDNtuTe0nvy6vhR68EPVjN+Uc4sbchTpw8AQLPFZx+b5Kno2QN5d+y0vDPzuTz62ummff2t3J25LMfG5uTLZ043AED32dyQM+Nn5fDNVbn/0OmmPXwit25ekZfG35N7HCkDgOaK2T42yZNlSz5++7LcVQt074nTcuOLFeuxi1bzxWWZPPGiWsCfyztvL3MGCgC60pbMTV+RWyppOjh2UpY//cR6tLnVfHpJro/tVknUqhyeXuEMFAA0Tfz2sUmelM3FGzKrF+r0+7Jw9bC88oLzB+2FA/Lrq9fl9rReuO/LzOKW8wcAQLd4uvQnOa8Tp3Nz8vcLh+S1PucPWt8+OXvhqnxzTidQH8ipJeI8ADRDHPexSZ5URry28q1qvy4nx3fYnTz0jf9Gjqj2o5V/cvYJALrKlmRXn6j2sFw47h/ndx7/lZxS7fur/+LsEwCEFs99bJIn+Y8809dfnjgor9gdfByQX5xQra+/l+/tDgCArvBf+be+x2ns5/Ka3cHHPvnlmGo93JS83QEAsG3x3McmeQIAAAAAAyRPAAAAAGCA5El+JC/sV62P7suXdgcfD+QfH6nW/uflebsDAKAr/FB+Mqhad76Se3YHHxvytzuqNdgn/XYHAMC2xXMfm+RJdsjQoRdV+3P5IOApH5uLf5G7qr330M/E/ZAmAECn2yEjw7tVe1WuBTxJ7+nSX+WWah8c/qnstDsBALYtnvvYJE9K3/g7Mqky40czpyV1cbnyRV3PHsjHF8/LsZlvVUZ8WqYDnhYCAOhMO4//Vq4Pity/eVZevbZS+TLczQ2Zu3ZRXrr5RGTwpNwKeCIfAMBcHPexEwXF+RxbiUTCehlXMP32Y/slXp72vy43/ni28vn0HpI/PiSF/z1wvrVW4gcHJKrFp+uQssKhrO7C8gov6rL0C2+DbciZcftFuZ4Gh2V55q3Kd0B5eO7loyyvkKIsK0osr/AoKzyrrAj3RSPdx46oDoNw5qnkgPz+zvtyY/p12auvzyza/6Icmb4st+/UX6gAgE62T/68OCfL54bloL4Hqmhwt5w6d0m+WayfOAEAGhWvfWzOPDUZZ57Co6zw4lpWlFhe4UVdVv0zT83BmafwoiwrSiyv8CgrPKusjjrz1ByceQIAAACALkLyBAAAAAAGSJ4AAAAAwEDP3PMEoHXiGEaIG0BrETcANKoT4kZPJE8AAAAAEBaX7QEAAACAAZInAAAAADBA8gQAAAAABkieAAAAAMAAyRMAAAAAGCB5AgAAAAADJE8AAAAAYIDkCQAAAAAMkDwBAAAAgAGSJwAAAAAwQPIEAAAAAAZIngAAAADAAMkTAAAAABggeQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8AQAAAIABkicAAAAAMEDyBAAAAAAGSJ4AAAAAwADJEwAAAAAYIHkCAAAAAAMkTwAAAABggOQJAAAAAAyQPAEAAACAAZInAAAAADBA8gQAAAAABno0ecrL7FBCEkOz6lPcOPM2kXW+dwqPOs/PysTQhJSnNM7LpdmyMpHoxOUcZ8SN6BE3QstnZXZiSBI6XuhmaEgmstRUdIgb0SNuhJXPzsqQrp9S3FB1R0WVcOYJbZP/7LYsrDtf0JDsxKgsOJ+BXkLcaERWJgZGZcpdYevrsjA6oBIo5zvQA4gbDchOyMDolA4VZesLMjowJLMkUBaSJ0SkXybXClJYm1Sf/Jj0g/zskIySOaEnEDfCKB5kSaYykiuoOtJNLi0p1W3hCkfcEVfEje3Ly+wVK2pIOpOzY0YhJ5l0UnVbl6k/cNRFI3mylE/fZitOVQ7JhGGanVeZ+lDx9KY1XNb7dHY+KxMmp0IN+6so1/i0qn3J15Cet6rhPWfXaFpUHbovDdF1UNGT+xS5/XlgSh/WWJBR1b81LRX9uNQtv4Hlp+ZX/61rj7rmZ+VNVW+pTMbaAUI7NbDe+SBuqDokbrRIVu5a+0Bp+XB+pLyD2D8p83qHiJ3GNmlgvfNB3FB1SNxojfxncltVVTL9oUyOFCNEv4xMfihW/vTou8r66lUqq+xBuYJaCQpq7VCfXN9VdXg1qYzVk69cOuk5nNW4B86kCmrd8+gvWUjbE2Iz7M+z3GSqkNLzEjjRmYLa8S4kU17lbGda/OuvPBnuOq/tP2mNrHq5KCHL101FVajx1XTrGvZys5et+zOiUb1+NrDeeSBu+NdfeTLcdV7bP3EjQDdOcyxVr58NrHceiBv+9VeeDHed1/ZP3NgOZ77jMTOhkTy5v+uVX60YxW2kFCwCVxZnJ1ZvXBlnyFymYnxOx1K3VLE/pVSGx7QE92darpfisHZ/xXIzNfNrOC25tBVwkqVxKU63mnG5ApU9npSamqLqfhqvs/L8uPorTUN3y6Tc8+wsw5jMW3fwXz8bX++IG6oDcaOVrB03vdOnl5FrpzCZrKgXtJr/+tn4ekfcUB2IG21QnL+Yzl7DSJ7c3ys2LM3Z6IPWFufIgn0kw6V6Y67ZuMusnWLrR059abC/uuV6cubLFViK7DKcemh0mvWPcjpdyKgf61rVda4HqxPMTMsvDred5dctSjtCzvc4zVvXIG4QN7qHXU/JQtKax9qmZh1AixA3iBvdLeesd3Gct+3inie35B4ZcD7aBmSP2pqC5L97pP5PyrE3qq4e739DjnkMmzoy4nwqGzmiNrkqdfvLPRZ9Be/eXWbletq7q+aa9wFrhh/Jd66LWutOS/+kXNJf9VOcpqZkdGDAus53aGLW8JroYKZ1tp3l1xXyszI0uqBi/IcyyU0KnYe4QdzoWOvqX0oyOetAqdWoHSG15qm/TP1BuvXWz1ggbhA3Ol5eshNDMqCfUJVMS26+tm56FckTmmJkXv8opyXlCh7rCzqwTfADHZJ+xKr+4Vqfsn8k7MZ5VPnCqPrM40PRnYgbrdO/a6/6PynpD+eldN+30j8yLx+ma3dagW5B3IiCfjDGgIwurKu8KccDZqqQPIVk/0Cty+3Pqn6FnCeWVFu4W7tpZ61HIlWq29/AHuvo4aOaX7+cPPYo11PNU1Py8pk10XvFfYDJdJr7RyZlXj/6Ux/dzGUkbR2sWRCPwRtiWj7QLYgbZcSNFrGW9bo8zjnf0fWIG2XEjVbST0gckKn1pKQyOVnjkpcaJE9hjRyxHhm9PvWmzBbPGeezMvvmlHW2oKR4enthtOKRmqV39iSPiXUm3ri/XSrk2OWW+9NHChp4eer6lLw5m3UCWl6ys2+qjUV9TB0R6+Ss6bQ4j+McKo1LDdo/ILusc9hJ2VN5brtKwNFP0/Jjrn9yrXTJTblxHlWeyqjPa1zO122IG8SNVnPqYWF0qLyOKfpx0/p1Bz1TD3FC3CBuRMB+P1xS0rk1mXeftkaZ2hHrQT43cNbc0Oh0r3OTXPEpJJ6Ne9iM2SNBG+mvpp8GHh2qb7isLafqJkijaSneQOnRBNSxu97sG1E9lkMj5ZssP6fOuv++x/jenNq5qtezBtY7D8QNp568+guoY+JGA4o3wXs0XTcvXat6PWtgvfNA3HDqyau/gDombhgKiBl2U/2gjN7Emacm0GcGijfh2vSpTvst7hVG5mVNv9293KPqVd/MW3XmoIH+Kq771f2s/U72OF/r2ntJ1lzTnUylVRnz9lGgIqNp0W/qzkm6sifVW0ZyAdfJ9k9eKo13/XGudBSpgmldAF2GuEHcaLn+SVUPGVUPropQ9aB2BIV7v7sTcYO40UrFe6wRLKEzKOczmkpfMzoqj9KdeL2oPW0L+pIvfkGBDkLcANAo4gYQJc48haUfI62ffjYx6zqSoR/vaF8LXPNoTwAgbgBoFHED6AgkT2GVbjKckgEd1KxGP95RdUum5XccaAFQjbgBoFHEDaAjkDyFtr3rbwH0MuIGgEYRN4BOwD1PAAAAAGCAM08AAAAAYIDkCQAAAAAMkDwBAAAAgAGSJwAAAAAwQPIEAAAAAAZ6NHnKy+xQQhJD7hfNbZd+e7Ya10TW+d4qzjS3vJxGedRlflYmhiZUzRQ1s75hi2q9Qxlxo3mIG1HJZ2dlSNdj8b1Auo6p0AgRN5qHuBGZfFZmJ4ZccWNIJggcJZx5QtPlP7stC+vOF7RE8Y3yQFwQN1ogOyEDo1Oy7q7X9QUZHRiSWfaDEAPEjVZQSfrAqEy5K1YFkYXRAZVAOd97HMkTQtIv7StIIfAFfSb9wFR+dsh+ozzQtYgbrZeX2Ss6UCQlncmJfqVjoZCTTFq/YHVdpv7AXhC6DXEjCsWDs9bLl624oZpcWlKq28IVzuhpJE+W8mnebMUlDkMy0cjhueyEDJVOcXpfGpHX/ZTG71+G1V+dcdWyT+kP6fFVDe85G3nVv3taPMtRdeM+daunt6In9yly+/PAlD5asSCjqn9rWir6calbfgPLRc2v/lvsj4rkZ+VNVb+pTMYKZGinBtbPIMQN4kYr5D+T26pKk+kPZXKkuBvZLyOTH4qVPz36rrJeEZEG1s8gxA3iRktk5a6VOaXlw/mRcgLaPynzOokiKbWpjLIH5Qrqx6OgVg71yfVdVYdXk8pYPfnIFNROrBpXsqB+j6qGTRbSdgGWXDpZ9fdy4y7Ds79kqpDS0xg4Mfa0JFOputNSyHj1U92ff72UJ8Ndl7X9J62RVde3ErJ83VRUhRpfTbfYcdY1aybdnxGN6vW4gfWzBnGjXJe1/RM3Wsmpn96a6TaqXo8bWD9rEDfKdVnbP3GjCXoyJjaO5Mn9XW8kao0pbkuloBK4FjnBTDXJdHHYXCFTM2yxjFQhU9pYlVza3qhL/RXHpzbqYo+5TMX0+StPS3k+gqZFbyDliSnNb7FenGlLlsal1ExvdV0Wx6Pm0/le249h+a7+yvPj6q80Db0hk3LXjbOse6wO2st/PW58/SRuVNZlcTzEjVYr1kOPV0OE/NfjxtdP4kZlXRbHQ9xoGit50kmlXpaupFMl7O7663UkT+7vFRug5gSHwI3G6ce1Mdv8xqn+olfKTLqQdh+xKZZRDCAVh22UmiDixW9a9PbgmpaAcdn9OUdjiv3pjSadVkG4eqxadV3qweoEM9Pyi8Nta7nETCmgOd97sQ7arnpdD7N+Ejcq61IPRtxotZxzVLmX6yB61et6mPWTuFFZl3ow4kYz2fWZLCStuqhtataVHsU9T27JPTLgfLQNyB611ZlIHnuj6jrQfnnjmB74kXxXvFw2P2tdFzwwMCCjo1MytbAgrmeZ2HKPrW57d1VdVdr/hlijM7F3V801qQPWjLimRUkdGXE+lY0cUWGiqH9SLumv+ikrU1MyqqZbX+c7NDFreE10sLrlF4VYLrGg15vRBfVb8KFMcrFx5yFuEDc6Xl6yE0MyoJ80k0xLbr62DhEx4gZxo2Otq38pyeSch0WoJqcyTV0N61N/EB41wwMjIpSViYEpK1AlUylJpzOSyeQkV+jsG/9H5vVGk5aUK3isL+jANsEGFBH9KFa93qxP2T8mduM8qnxhVH3mscPxRdxAWPpGeLUDvbCu8qYcN3z3BOIGtqd/1171f1LSH85L6TkzSv/IvHyY1gumMinuVSRPTbL+OOd8KsrLZ/pRR7JXrIM6+e/UKif6zK+szc/L5OSIjKg1s9/pXjKwx8ruH9WsnTl5rEdnouYpSlXT4li4WxuOstZjVir1j0zKvH70pz76kMtI2oq+C+IxeENMywfiirjROOJGI9ROdGJAptaTah3KyRqnrmOBuNE44oYha51Yl5pVDBVInpplYdR5TKaWl+zsm+oHS31MHRH3yWK9AZcCjX505pv20aFSAOrfpUKOCo5Tb7oe0amPHDbwUtT1KXlztliOx7QUT8mraXY/BrT0/qDkMXlDBz3ncZxDpXGpQfsHZJd1DjspeyrPbVcJODphWj4s/ZNrpVPn5cY5gpjKqM9rXM7XrYgbVYgbzWS/ryUp6dyazLsPI6O7ETeqEDeaxqmvhdEhmXXXl1o++jUp1JdD7Yj1oOqbDmtvQrQ53QNvFLRvJkx6Pq7T4ybGmn6cxl128abeir+bPzrU+zGmVTdBqjJq+9GN+6EEAdMcUHelp9Ooxr650KN+GynfZLk4dRZYPbHSWzexdobq9bGB9bMGcaO67ogbTVa8Ud63qb4xHq1RvT42sH7WIG5U1x1xowUCYkds57lBnHlqlj2/kzXnhjotmUxLJjfvOgrUL5MfZiqu5VUBynrzuxpMZP2xlM6SjsxXXver+sus/U72OF/r2nupclpS1dOiqDLW9Bujq6Ynk3OfxdBv6s5JurIn1VtGcgHXzfdPXiqNV19e4HlAyKh8IOaIGyXEjeYq3iuJGCJulBA3WqB/UtWXXn9cFabXn1xBeNaMLaEzKOczup6+vn1UFvSlXKzhAIwQNwA0iriB3sWZJwAAAAAwQPIEAAAAAAZIngAAAADAAPc8AQAAAIABzjwBAAAAgAGSJwAAAAAwQPIEAAAAAAZIngAAAADAAMkTAAAAABggeQIAAAAAAyRPAAAAAGCA5AkAAAAADJA8AQAAAIABkicAAAAAMEDyBAAAAAB1ifz/J5YZ4IAcgEcAAAAASUVORK5CYII=\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that accepts a MATLAB variable, POS. You are ensured that POS is always a row vector of 8 elements, and each element satisfies 1 \u0026lt;= POS(i) \u0026lt;= 8. This vector represents the wind farm layout: POS(i) is the row position of the sole wind turbine in column \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Given the layout, output the number of wind turbines in\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003egood position\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; 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=\"\"\u003eAs seen in the examples from the figure above, we have 4 turbines in \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003egood position\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e for POS = [8 1 6 3 6 7 3 4]; 6 turbines for POS = [3 1 5 2 8 7 4 6]; and, 2 turbines for POS = [4 5 7 7 3 2 6 8].\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = assess_windfarm(POS)\r\n y = POS;\r\nend","test_suite":"%%\r\nassert(isequal(assess_windfarm([5 6 6 6 6 3 5 1]),3))\r\n%%\r\nassert(isequal(assess_windfarm([1 8 3 5 8 2 2 3]),5))\r\n%%\r\nassert(isequal(assess_windfarm([8 4 3 2 4 3 2 4]),2))\r\n%%\r\nassert(isequal(assess_windfarm([1 5 1 5 7 2 4 5]),6))\r\n%%\r\nassert(isequal(assess_windfarm([1 4 6 2 7 8 7 5]),5))\r\n%%\r\nassert(isequal(assess_windfarm([3 6 2 8 5 5 2 1]),4))\r\n%%\r\nassert(isequal(assess_windfarm([3 7 8 6 6 2 5 7]),4))\r\n%%\r\nassert(isequal(assess_windfarm([4 8 1 3 5 1 6 5]),6))\r\n%%\r\nassert(isequal(assess_windfarm([5 7 7 7 3 4 7 1]),3))\r\n%%\r\nassert(isequal(assess_windfarm([1 3 5 8 6 3 3 7]),6))\r\n%%\r\nassert(isequal(assess_windfarm([8 6 3 1 7 5 8 1]),8))\r\n%%\r\nassert(isequal(assess_windfarm([5 3 7 2 4 4 7 6]),4))\r\n%%\r\nassert(isequal(assess_windfarm([2 3 2 6 5 2 2 4]),1))\r\n%%\r\nassert(isequal(assess_windfarm([8 5 1 1 7 4 4 7]),4))\r\n%%\r\nassert(isequal(assess_windfarm([3 5 6 7 3 6 8 1]),5))\r\n%%\r\nassert(isequal(assess_windfarm([5 4 3 3 7 8 2 7]),2))\r\n%%\r\nassert(isequal(assess_windfarm([2 8 7 4 6 4 7 3]),6))\r\n%%\r\nassert(isequal(assess_windfarm([1 5 8 2 4 6 1 8]),8))\r\n%%\r\nassert(isequal(assess_windfarm([7 5 2 4 5 8 7 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([6 4 8 4 2 4 6 5]),6))\r\n%%\r\nassert(isequal(assess_windfarm([7 8 8 5 8 1 1 3]),3))\r\n%%\r\nassert(isequal(assess_windfarm([5 5 8 5 4 5 6 1]),2))\r\n%%\r\nassert(isequal(assess_windfarm([7 2 4 3 3 6 2 3]),3))\r\n%%\r\nassert(isequal(assess_windfarm([2 2 3 8 4 4 2 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([4 7 5 4 8 7 4 7]),4))\r\n%%\r\nassert(isequal(assess_windfarm([8 4 3 5 8 6 4 6]),6))\r\n%%\r\nassert(isequal(assess_windfarm([8 5 5 3 1 2 1 4]),3))\r\n%%\r\nassert(isequal(assess_windfarm([1 8 6 1 1 2 4 2]),5))\r\n%%\r\nassert(isequal(assess_windfarm([1 6 3 7 4 4 1 1]),4))\r\n%%\r\nassert(isequal(assess_windfarm([1 5 2 7 7 8 4 2]),5))\r\n%%\r\nassert(isequal(assess_windfarm([2 5 7 3 4 6 8 2]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 5 4 8 4 2 6 5]),3))\r\n%%\r\nassert(isequal(assess_windfarm([3 7 8 8 2 2 1 5]),2))\r\n%%\r\nassert(isequal(assess_windfarm([1 4 8 5 3 2 4 8]),6))\r\n%%\r\nassert(isequal(assess_windfarm([1 4 7 1 6 8 3 2]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 8 5 8 2 7 3 4]),6))\r\n%%\r\nassert(isequal(assess_windfarm([2 7 5 6 7 1 8 4]),5))\r\n%%\r\nassert(isequal(assess_windfarm([7 6 7 2 4 5 8 7]),1))\r\n%%\r\nassert(isequal(assess_windfarm([8 5 5 7 1 8 4 1]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 2 2 5 3 3 4 4]),2))\r\n%%\r\nassert(isequal(assess_windfarm([4 5 2 2 1 3 7 2]),3))\r\n%%\r\nassert(isequal(assess_windfarm([6 6 7 7 3 3 5 3]),2))\r\n%%\r\nassert(isequal(assess_windfarm([7 7 5 3 6 2 4 4]),4))\r\n%%\r\nassert(isequal(assess_windfarm([5 8 7 8 2 5 1 7]),5))\r\n%%\r\nassert(isequal(assess_windfarm([5 7 8 8 4 1 5 2]),5))\r\n%%\r\nassert(isequal(assess_windfarm([2 3 1 6 6 5 3 7]),3))\r\n%%\r\nassert(isequal(assess_windfarm([5 8 8 3 5 3 5 7]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 2 7 1 4 6 7 3]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 8 2 2 2 3 3 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([1 5 2 7 2 5 8 3]),8))\r\n%%\r\nassert(isequal(assess_windfarm([1 2 4 3 2 8 6 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([4 8 1 5 7 2 8 7]),6))\r\n%%\r\nassert(isequal(assess_windfarm([7 5 7 3 2 3 5 7]),5))\r\n%%\r\nassert(isequal(assess_windfarm([3 4 7 5 8 2 7 6]),4))\r\n%%\r\nassert(isequal(assess_windfarm([2 4 4 5 7 1 7 7]),3))\r\n%%\r\nassert(isequal(assess_windfarm([3 4 5 6 6 7 4 4]),0))\r\n%%\r\nassert(isequal(assess_windfarm([8 5 7 3 5 5 8 1]),6))\r\n%%\r\nassert(isequal(assess_windfarm([5 5 1 8 8 4 7 2]),4))\r\n%%\r\nassert(isequal(assess_windfarm([5 3 4 7 2 3 4 3]),2))\r\n%%\r\nassert(isequal(assess_windfarm([7 8 2 2 6 4 8 8]),2))\r\n%%\r\nassert(isequal(assess_windfarm([6 7 4 6 8 5 8 6]),6))\r\n%%\r\nassert(isequal(assess_windfarm([4 6 8 2 4 8 4 6]),8))\r\n%%\r\nassert(isequal(assess_windfarm([8 8 6 1 1 5 5 8]),2))\r\n%%\r\nassert(isequal(assess_windfarm([6 6 5 3 8 5 1 6]),5))\r\n%%\r\nassert(isequal(assess_windfarm([5 1 8 3 2 1 3 2]),3))\r\n%%\r\nassert(isequal(assess_windfarm([6 1 3 3 8 4 7 5]),6))\r\n%%\r\nassert(isequal(assess_windfarm([7 1 8 7 1 4 3 6]),4))\r\n%%\r\nassert(isequal(assess_windfarm([2 5 5 5 4 1 5 4]),2))\r\n%%\r\nassert(isequal(assess_windfarm([1 4 4 5 7 6 7 1]),2))\r\n%%\r\nassert(isequal(assess_windfarm([2 4 8 7 4 3 1 6]),4))\r\n%%\r\nassert(isequal(assess_windfarm([5 2 4 2 7 3 8 1]),8))\r\n%%\r\nassert(isequal(assess_windfarm([7 6 5 6 6 1 8 1]),3))\r\n%%\r\nassert(isequal(assess_windfarm([3 2 8 1 5 6 6 7]),2))\r\n%%\r\nassert(isequal(assess_windfarm([1 7 5 6 2 5 6 8]),4))\r\n%%\r\nassert(isequal(assess_windfarm([4 1 1 6 7 6 3 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([5 8 1 2 7 8 7 3]),3))\r\n%%\r\nassert(isequal(assess_windfarm([2 7 7 3 2 3 7 7]),1))\r\n%%\r\nassert(isequal(assess_windfarm([5 5 3 6 7 4 4 4]),1))\r\n%%\r\nassert(isequal(assess_windfarm([3 6 8 8 6 3 6 2]),6))\r\n%%\r\nassert(isequal(assess_windfarm([1 2 2 5 1 7 6 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([4 6 8 5 3 8 1 3]),8))\r\n%%\r\nassert(isequal(assess_windfarm([8 3 3 1 8 2 3 8]),4))\r\n%%\r\nassert(isequal(assess_windfarm([4 5 5 6 1 5 1 7]),4))\r\n%%\r\nassert(isequal(assess_windfarm([3 7 2 5 8 1 1 1]),5))\r\n%%\r\nassert(isequal(assess_windfarm([6 5 1 7 5 1 1 2]),3))\r\n%%\r\nassert(isequal(assess_windfarm([7 1 2 2 1 7 6 6]),1))\r\n%%\r\nassert(isequal(assess_windfarm([6 5 3 6 1 2 1 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([8 1 4 6 3 7 5 4]),6))\r\n%%\r\nassert(isequal(assess_windfarm([3 7 8 6 4 8 3 5]),6))\r\n%%\r\nassert(isequal(assess_windfarm([8 3 3 8 1 3 5 2]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 7 5 6 7 2 5 1]),3))\r\n%%\r\nassert(isequal(assess_windfarm([5 7 8 4 3 6 8 5]),4))\r\n%%\r\nassert(isequal(assess_windfarm([8 2 1 3 4 4 3 6]),2))\r\n%%\r\nassert(isequal(assess_windfarm([1 4 3 3 1 5 3 2]),3))\r\n%%\r\nassert(isequal(assess_windfarm([1 3 5 7 1 8 2 7]),8))\r\n%%\r\nassert(isequal(assess_windfarm([7 8 2 5 4 2 5 5]),2))\r\n%%\r\nassert(isequal(assess_windfarm([2 5 8 4 6 4 1 3]),8))\r\n%%\r\nassert(isequal(assess_windfarm([7 3 1 5 3 6 5 7]),6))\r\n%%\r\nassert(isequal(assess_windfarm([7 2 1 7 6 1 8 5]),4))\r\n%%\r\nassert(isequal(assess_windfarm([5 5 7 7 4 1 6 3]),4))\r\n%%\r\nassert(isequal(assess_windfarm([1 1 1 1 1 1 1 1]),0))\r\n%%\r\nassert(isequal(assess_windfarm([1 8 1 3 1 5 1 8]),8))\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":1,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":65,"test_suite_updated_at":"2020-03-29T00:40:23.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-28T23:55:35.000Z","updated_at":"2026-03-31T14:31:20.000Z","published_at":"2020-03-29T00:40:23.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe renewable energy industry is on the rise in many countries--- and one of the key players is wind energy.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIt is believed that the layout of a wind farm can influence its ability to harness energy. One assumption is that the more scattered the turbines are in the field, the higher the energy yield. Hence, we need to determine how many turbines in a wind farm are in a good position.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are given the positions of 8 wind turbines in a field rendered as an 8-by-8 grid of cells. For this problem, a wind turbine is defined to be in a\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\u003egood position\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e if there are no other turbines in its immediate vicinity of adjacent cells in the grid. Otherwise, it is in a\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\u003ebad position\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. An illustration of these two cases is further explained in the figure below.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"481\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"593\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"middle\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts a MATLAB variable, POS. You are ensured that POS is always a row vector of 8 elements, and each element satisfies 1 \u0026lt;= POS(i) \u0026lt;= 8. This vector represents the wind farm layout: POS(i) is the row position of the sole wind turbine in column \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Given the layout, output the number of wind turbines in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003egood position\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\u003eAs seen in the examples from the figure above, we have 4 turbines in \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003egood position\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e for POS = [8 1 6 3 6 7 3 4]; 6 turbines for POS = [3 1 5 2 8 7 4 6]; and, 2 turbines for POS = [4 5 7 7 3 2 6 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a tubesheet for shell-and-tube heat exchangers","description":"\u003c\u003chttps://3.bp.blogspot.com/-kLSbhcCoT2I/WJIh-QVGLGI/AAAAAAAADEs/svvMzBqn4fUfI1rTCCH7Uw-QuDvxx0PxACLcB/s1600/Screenshot_669.jpg\u003e\u003e\r\n\r\nA tubesheet is a metal plate used to hold multiple tubes in place in a shell-and-tube heat exchanger. In any industrial plant, heat exchangers are used to transfer heat from one stream to another, such as for cooling or heating.\r\n\r\nIn this problem, you are given the diameter D of a metal plate which is a perfect circle. We need to punch holes in this plate where the tubes can fit in. This is done by placing the plate on a 2-D coordinate system where the center of the circle lies in the origin. As seen in the figure below, the coordinate system can be imagined as being made of square cells. _A hole can be punched in a square cell if and only if it lies completely inside the circular metal plate_. Can you help count the number of holes we can punch, given the plate's diameter?\r\n\r\nAccess the figure here: \u003chttps://drive.google.com/open?id=16fQsnGyJz-PQLF9Hw7koIKKscPu6whFM\u003e\r\n\r\nWrite a function that accepts a floating-point value, D. Output the maximum number of holes that can be punched on a plate of diameter D. You are ensured that 1 \u003c= D \u003c= 50.\r\n\r\nIn the examples above, we can see that we can punch 16 holes when D = 6, and 60 holes when D = 10.","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: 1096.51px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 548.25px; transform-origin: 407px 548.256px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 516.713px; 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 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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA tubesheet is a metal plate used to hold multiple tubes in place in a shell-and-tube heat exchanger. In any industrial plant, heat exchangers are used to transfer heat from one stream to another, such as for cooling or heating.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 104px; 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 52px; text-align: left; transform-origin: 384px 52px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIn this problem, you are given the diameter D of a metal plate which is a perfect circle. We need to punch holes in this plate where the tubes can fit in. This is done by placing the plate on a 2-D coordinate system where the center of the circle lies in the origin. As seen in the figure below, the coordinate system can be imagined as being made of square cells.\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eA hole can be punched in a square cell if and only if it lies completely inside the circular metal plate\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Can you help count the number of holes we can punch, given the plate's diameter?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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: 297px; 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 148.5px; text-align: left; transform-origin: 384px 148.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"557\" height=\"297\" style=\"vertical-align: middle;width: 557px;height: 297px\" 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data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that accepts a floating-point value, D. Output the maximum number of holes that can be punched on a plate of diameter D. You are ensured that 1 \u0026lt;= D \u0026lt;= 50.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIn the examples above, we can see that we can punch 16 holes when D = 6, and 60 holes when D = 10.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = tubesheet(D)\r\n y = D;\r\nend","test_suite":"%%\r\nassert(isequal(tubesheet(17.89),216))\r\n%%\r\nassert(isequal(tubesheet(17.88),208))\r\n%%\r\nassert(isequal(tubesheet(7.82),32))\r\n%%\r\nassert(isequal(tubesheet(12.32),96))\r\n%%\r\nassert(isequal(tubesheet(19.79),264))\r\n%%\r\nassert(isequal(tubesheet(19.99),268))\r\n%%\r\nassert(isequal(tubesheet(20.00),276))\r\n%%\r\nassert(isequal(tubesheet(6.33),24))\r\n%%\r\nassert(isequal(tubesheet(29.77),640))\r\n%%\r\nassert(isequal(tubesheet(11.18),76))\r\n%%\r\nassert(isequal(tubesheet(15.76),164))\r\n%%\r\nassert(isequal(tubesheet(24.08),392))\r\n%%\r\nassert(isequal(tubesheet(12.29),96))\r\n%%\r\nassert(isequal(tubesheet(42.37),1320))\r\n%%\r\nassert(isequal(tubesheet(10.54),68))\r\n%%\r\nassert(isequal(tubesheet(12.07),88))\r\n%%\r\nassert(isequal(tubesheet(9.36),52))\r\n%%\r\nassert(isequal(tubesheet(12.16),88))\r\n%%\r\nassert(isequal(tubesheet(22.35),340))\r\n%%\r\nassert(isequal(tubesheet(16.24),180))\r\n%%\r\nassert(isequal(tubesheet(46.25),1592))\r\n%%\r\nassert(isequal(tubesheet(22.08),332))\r\n%%\r\nassert(isequal(tubesheet(10.06),60))\r\n%%\r\nassert(isequal(tubesheet(45.34),1520))\r\n%%\r\nassert(isequal(tubesheet(49.01),1788))\r\n%%\r\nassert(isequal(tubesheet(22.50),356))\r\n%%\r\nassert(isequal(tubesheet(6.44),24))\r\n%%\r\nassert(isequal(tubesheet(13.65),120))\r\n%%\r\nassert(isequal(tubesheet(21.03),308))\r\n%%\r\nassert(isequal(tubesheet(30.15),656))\r\n%%\r\nassert(isequal(tubesheet(13.85),120))\r\n%%\r\nassert(isequal(tubesheet(30.54),680))\r\n%%\r\nassert(isequal(tubesheet(35.85),936))\r\n%%\r\nassert(isequal(tubesheet(11.87),88))\r\n%%\r\nassert(isequal(tubesheet(6.75),24))\r\n%%\r\nassert(isequal(tubesheet(15.54),156))\r\n%%\r\nassert(isequal(tubesheet(16.62),188))\r\n%%\r\nassert(isequal(tubesheet(21.78),332))\r\n%%\r\nassert(isequal(tubesheet(25.89),468))\r\n%%\r\nassert(isequal(tubesheet(5.19),12))\r\n%%\r\nassert(isequal(tubesheet(13.86),120))\r\n%%\r\nassert(isequal(tubesheet(40.25),1200))\r\n%%\r\nassert(isequal(tubesheet(2.43),0))\r\n%%\r\nassert(isequal(tubesheet(46.51),1600))\r\n%%\r\nassert(isequal(tubesheet(36.79),996))\r\n%%\r\nassert(isequal(tubesheet(24.94),440))\r\n%%\r\nassert(isequal(tubesheet(29.35),616))\r\n%%\r\nassert(isequal(tubesheet(12.63),96))\r\n%%\r\nassert(isequal(tubesheet(23.48),392))\r\n%%\r\nassert(isequal(tubesheet(48.19),1732))\r\n%%\r\nassert(isequal(tubesheet(27.79),548))\r\n%%\r\nassert(isequal(tubesheet(26.54),500))\r\n%%\r\nassert(isequal(tubesheet(12.35),96))\r\n%%\r\nassert(isequal(tubesheet(24.96),440))\r\n%%\r\nassert(isequal(tubesheet(31.58),716))\r\n%%\r\nassert(isequal(tubesheet(34.28),864))\r\n%%\r\nassert(isequal(tubesheet(20.38),284))\r\n%%\r\nassert(isequal(tubesheet(19.00),256))\r\n%%\r\nassert(isequal(tubesheet(49.41),1820))\r\n%%\r\nassert(isequal(tubesheet(2.85),4))\r\n%%\r\nassert(isequal(tubesheet(44.37),1460))\r\n%%\r\nassert(isequal(tubesheet(45.75),1560))\r\n%%\r\nassert(isequal(tubesheet(40.01),1176))\r\n%%\r\nassert(isequal(tubesheet(5.84),16))\r\n%%\r\nassert(isequal(tubesheet(13.83),120))\r\n%%\r\nassert(isequal(tubesheet(17.43),208))\r\n%%\r\nassert(isequal(tubesheet(34.31),864))\r\n%%\r\nassert(isequal(tubesheet(7.69),32))\r\n%%\r\nassert(isequal(tubesheet(36.34),968))\r\n%%\r\nassert(isequal(tubesheet(6.23),16))\r\n%%\r\nassert(isequal(tubesheet(33.03),796))\r\n%%\r\nassert(isequal(tubesheet(25.21),448))\r\n%%\r\nassert(isequal(tubesheet(39.17),1124))\r\n%%\r\nassert(isequal(tubesheet(36.04),936))\r\n%%\r\nassert(isequal(tubesheet(45.28),1520))\r\n%%\r\nassert(isequal(tubesheet(44.66),1476))\r\n%%\r\nassert(isequal(tubesheet(17.37),208))\r\n%%\r\nassert(isequal(tubesheet(35.24),904))\r\n%%\r\nassert(isequal(tubesheet(10.69),68))\r\n%%\r\nassert(isequal(tubesheet(2.50),0))\r\n%%\r\nassert(isequal(tubesheet(37.46),1028))\r\n%%\r\nassert(isequal(tubesheet(25.50),460))\r\n%%\r\nassert(isequal(tubesheet(24.52),432))\r\n%%\r\nassert(isequal(tubesheet(45.33),1520))\r\n%%\r\nassert(isequal(tubesheet(30.88),688))\r\n%%\r\nassert(isequal(tubesheet(31.27),708))\r\n%%\r\nassert(isequal(tubesheet(43.11),1380))\r\n%%\r\nassert(isequal(tubesheet(40.47),1208))\r\n%%\r\nassert(isequal(tubesheet(29.26),616))\r\n%%\r\nassert(isequal(tubesheet(9.96),52))\r\n%%\r\nassert(isequal(tubesheet(12.76),104))\r\n%%\r\nassert(isequal(tubesheet(44.44),1476))\r\n%%\r\nassert(isequal(tubesheet(2.41),0))\r\n%%\r\nassert(isequal(tubesheet(25.01),440))\r\n%%\r\nassert(isequal(tubesheet(9.23),52))\r\n%%\r\nassert(isequal(tubesheet(48.96),1788))\r\n%%\r\nassert(isequal(tubesheet(35.92),936))\r\n%%\r\nassert(isequal(tubesheet(25.52),460))\r\n%%\r\nassert(isequal(tubesheet(24.08),392))\r\n%%\r\nassert(isequal(tubesheet(3.92),4))\r\n%%\r\nassert(isequal(tubesheet(34.42),872))\r\n%%\r\nassert(isequal(tubesheet(3.08),4))\r\n%%\r\nassert(isequal(tubesheet(4.50),12))\r\n%%\r\nassert(isequal(tubesheet(26.56),500))\r\n%%\r\nassert(isequal(tubesheet(5.74),16))\r\n%%\r\nassert(isequal(tubesheet(41.09),1240))\r\n%%\r\nassert(isequal(tubesheet(41.06),1240))\r\n%%\r\nassert(isequal(tubesheet(36.40),968))\r\n","published":true,"deleted":false,"likes_count":4,"comments_count":3,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":63,"test_suite_updated_at":"2020-03-27T21:10:13.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-27T18:48:08.000Z","updated_at":"2026-03-31T14:25:24.000Z","published_at":"2020-03-27T20:39:34.000Z","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=\\\"center\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA tubesheet is a metal plate used to hold multiple tubes in place in a shell-and-tube heat exchanger. In any industrial plant, heat exchangers are used to transfer heat from one stream to another, such as for cooling or heating.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn this problem, you are given the diameter D of a metal plate which is a perfect circle. We need to punch holes in this plate where the tubes can fit in. This is done by placing the plate on a 2-D coordinate system where the center of the circle lies in the origin. As seen in the figure below, the coordinate system can be imagined as being made of square cells.\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA hole can be punched in a square cell if and only if it lies completely inside the circular metal plate\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Can you help count the number of holes we can punch, given the plate's diameter?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"297\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"557\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"middle\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts a floating-point value, D. Output the maximum number of holes that can be punched on a plate of diameter D. You are ensured that 1 \u0026lt;= D \u0026lt;= 50.\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 the examples above, we can see that we can punch 16 holes when D = 6, and 60 holes when D = 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\",\"relationship\":null},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAACLQAAASjCAIAAAGV91aGAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAALiMAAC4jAXilP3YAAP+lSURBVHhe7J0FeBNZF4ZTpQa0pYUWaCktRYq7uywOu/iPLO4Oi7sVdxaHxV0XWxwWdytl8WIFahSo23+SezOdSSbJpEmaSXre59nsOdOP6TS55373TmbuSNIQBNENrCIE0RWsIgTRFawiBNEVrCIE0RWsIgTRFawiBNEVrCIE0RWsIgTRFawiBNEVrCIE0RWsIgTRFawiBNEVrCIE0RWsIgTRFawiBNEVrCIE0RW9VdHY/v0mLjkRfeMizYUxsP+gSRPG9evXb+Xu/XSTRlKjBvXvT2NEHfGjBw1asP3ax38v0Q3CGDxs5NSJ4wYNGrTx73/oJrV8+/hi15mnNElLg39IoyyDHqoo5r+dQ/e8IXGVHG4kEExijmJ1SOQg0Xwwq9oWuxOSTBNENW9Oz156I4LE/i4lSSCU1I+F2k0joUTAh5KWFltpwhESSRzLwGtJe0uSZhH0UEWcNzolFl42dqzp51s6VbbBv3CxR6dWQ3BhwxjfggUgCDmz6MyXBNkPgYTsRWvT8P1Wt5ZrSDigeXF/OSVajyAbk3887LX1XWxsHEkRNbA/lJTEn/A6t0HZQr61ZBviCgdUPfnP3xDtmd3dP6AUBFfW930p/egIoQXbTiXRxzNjG067TOJa5Qsz1PxjB9ko4yupouSoV+VbbYTg1Ojan9L3Zv7opYqsaURI+RG4+21YyKm2Sy5t6+AZGpXy9MyaxMfrrz988ODBQ4ldfSqjsKoo7Yaj22ASvX724L6ch/+9JRsX1LJNSZHWpkTiRLYgKkiWSNxpSIh9sf/G99DHf006Hzq+hCQqPu3v44cjjg159OTJkzsX81b5g8oo6VUU+Xpz2ebrSPws6DHDs/fU6GTQKooNPVdnwhkIzk6q+yIyCw0Z9FBFuTmmn5yWnGhVrAO851BFkI9rVUfi2uzm8u4fyM+jg8j/5aRX0d1pjQccf09iXo4PciVBwzx6OGzzJjvbi9LiU2PC8tSfkBZ3FqoItvRoWCFnmXHbO5YnQ4K4by9l/2dIr6Jt7XxWP0kksWpoFaUlhJdqsgL+v7J5qR8p0g1ZBP00R4kkj+z/EQefJsR9vthrXtDdQ1N+3/Dwn3F5k9LSqtnkTEv7AWOMiRPHTjj9+tO9A8HfZXIp3x0KS4cZF45M8qzXjWxSSWqapIp05lpuwHayAVFJTLQke2n4f2LMm1Mf0j5eXLL47/DzG4YF3oxe00H6oXvZwU8/SSQ206ZN3HA36uGJjWFMscTdz996Mvx/79b+ZbtPItvUEh3Q4y8SdSgmnRj71xxP0iwCduoIoitYRQiiK1hFCKIrWEUIoitYRQiiK1hFCKIrWEUIoisGr6ILFy7QCDEkgYGBNEIyHcNWkZ2dHVYRYvYYtookMrp37w5x//79IVCgZ8+eNOIyYMAAGrFQJR44cCCNWPTo0YNGXLQSnz9/nvwhYgbeWHiF95mkw4YNG6TEqFGjaMTF7MWRkZHkbTEomTeiW7VqFQnYvHlDb6lQYP78+TRi8fHjRxpxmTFjBo1YhIeH04jLhAkTaMTi+/f0S5LYwAdGIxETHBwMr0wVPX78mARs/vqLXqGjgFbihw8f0oiF4cRbt26lERfdxXrH4FXEgFWUOWAVscEqUgSrSAhYRWywihTBKhICVhEbrCJFsIqEgFXEBqtIEawiIWAVsTG3KlqwYEGkEg8ePKARl+nTp9OIRVBQEAm+ffv2g8WkSZNo9ONHdHQ00bx8+ZIECowcOZJGLEJCQmjEZfjw4fToTYe7d+/GK7FhwwYacdFKfPv2bRqxAHGynEOHDs2dO7dnz57Vq1f39PRs0KABvIELFy68cuUKEWzatCkhIYH+Sxa8e964cSONuGglNrcq+vPPP2nEApovjbhAydGIBRTPf//9V6VKlezZs5cqVQr86v79+2FhYePHj3/06NGePXuaNWuWN29eCwuLo0ePQjnRf8Zl4sSJNGLx86d0fQ9lTNGLnj5NX9SKQVVXrZX4yZMnNJLx5cuXdu3aWVlZFShQYNy4ca9evUpNJSvWSGGLU1JSrl271qNHD1dXV/h04COAj5L+TIbCngnbt/Pf0ayV2NyqSMcRXYkSJYoVK/b582eas+Ad0cFnJpFIrl+/TnM5OKJjk4ER3cmTJ+GNhQ4LygbSjI3o/vnnn3LlykFvCIMRSHnFOKLjIcNVBB0YsaYMzIvgQ4KP/M6dO2QjgFXERrgYRmJ2dnZQPDExMXSTjIxVEQMMKb28vFq1akVzFlhFPGSgijp27NilSxeyBcjw2QUYSefMmZPEWEVshIjB/21tbWFK8+LFC7qJhY5VRHj+/Hnnzp1huEFzGVhFFPABgMRaVdHixYstLS3j4jgLOOp4ji537tzQ82EVsdEohkHX2bNnSaxVYWRM3K9fv0qVKpEYq4gH4VUEc303N56VinU/0718+fKhQ4fShIWpV1FoqHSVOYK+qqhp06bNmzcnWwiZUEUE6O927dq1bds2mnPJilXEnCzmfQcVztUAMP5u2LAhb8kpWBPDwoULacSCfb6ITePGjUeOHEkTTQwZMoRGIgbGvTSSwXvac9++fTTiwis+cuSItTV3vVsZvF2eqj3rKI6IiGBGMQrw7vnAgQM04kLOXhgag4/opk6lq2xu2bKFBGyUz0fnzZsXXnWvIlXMmjXrzJkzqrouBUyiihTgdWxVjUxZDCZQsGBBmnB59+4djVio2rPu4pMnTzo7Oyt/CcErPnToEI24mEMVsREyomO6H0NfuzBgwAD2KA7nRYRGjRrdv3/fEIM0glZi0tPBJ7V3716yhZAVR3QMGquoSJEiNJJXUULk9TaTdoR/+s/WvQWkTBWVtrP9EBYe2LP6B9mK6qSKkqLvtB7/V3joS1vXxpAyVVTe3vbd1/CFfWu/TZKmzNkFS8v0p4NgFQHu7u5kaMCI81hLXrx40by0M0lJiwy7v7XnwmMvbh13qTcXUl3ELRTED7axxUxhHD16tG/fviQGsIoUYaroy5cv7E+aVFFXZ/rgg3f7uySkV9G35bdpo89Xeg68kirq5UbFHw/3iU+vou/zr9Opl2eAdGzJPkdXpUoVEmAVsSchcnHwsyi6ZH2DMafhlbTI4taFZdvSzo7xhVc9iktY+8u2UTG7MN6+fdumTRsSYxUpwlSRwlSSVNHmNvRMXWB9D3hlvKjsH/SZU5Um/QuvpIp2dPSUbUtb1DQfvDJeVGIIndGW+UN61y27iuAfxsdDxWX1KrKysiIpQS6OH335qyz4PvywdCpCWmQPT/pJdXTLBq+6iX+wxb3yccQKhQGagQMHkoBsYYNVlHbz5s2gIM4TWZh5UfMKOaHArr+XTjGZKgp9eRg2+jfqQVJmXtSqsits//ettCSYKvry5m/YWLB+V5IqfF/k4SGtzyxbRU+ePPH1lXb8bBjxtcMT4K2r2JaeZWVaZGF32Cx5ESWNdRK3oW8vr1i5MC5evAgNI0tXEe/VqODU8ApvHEkZeK9G/fTpE424zJw5k0YsIlUsW6FwNSo5EW9OV6NqVUVNmzZVvjRRlZi3RRpOzFsYo0eP5r2EIqtUUWBgIJSBAuBC79+/HzduHM3lTJ48mUYs7t+/TyMuf/zxB41YgLnRiMvQoUNpJAPa0KBBg+CDoTmXESPowzBNiAMHDkDTUQA6GhqxOH36NHwoNGHBKwb27dtHIxaGE8+ePZtGXKDPhZ6CJnJUiXn7FL1j/BHdkiVLaMKCGdGx0eOZbjYWFhZZ04ucnZ21Mi5olDRikcleBED/qDx4ySpepKqKlN8RQF5FMXYFq/Xr2bnU/6SPFmWqaEx1l559+xV1of9QXkVxtgWq9OvVtVi7lZAwVTSxtnuPPv2K56Ji5Sr67bffYmP5n+VrxlXk5+cHr0ScEhuSq3C1Fg2r9137CFJG3LqQpEWLFnYW9K0jLZIR91mtq9he/tETcSpXzBSGshiG68uWLSMpIUtXERRGQEAATViQKhqQj16I/XDpr0npVRQ78zS9bCx/7aXwSqpomA/98iHoz44glldR3MTj9ImynlWl+1SuIhi5kVtllDHXKnr+/Dn5sp+Iq1rmlm1O+6u5l/SVij9cDCfPfU1tGSg9F0paJCPe0sIbXvUorsYVywuDX1y2bFnZRkqWrqLQ0FCY1dCEBamiiaVykPTUsNqp6VWUPGArvdvRr730qiJSRdPL0yo6O7YBiOVVlNxzPX0fvVuth1flKgLmzZtHIy7mWkX29vYkIOJ61vStW1ZdevmVXPz1CH3cflLbZTfhf6RFMuLlNaTfKOhTbMMRywuDXwzkypWLBEBWr6KrV6/ShAUzL3JwsLdzsBu84RbEzIhu/8KmdvZ29g7ZScrMi4i432rpDpkR3eHlLWViR5LyVlHJkiVpxMUkqqi7bAFnZmCssYoOHDiQkEB6d7k4OcLB1dPH23Ou7BnvjHhwoxw+Pj62dvIRAWmRcnHg3zqLs9FeklfMFAa/GPrN6dOZWwbNuYrYcx5VVcS7QEJmnl0AmHv4FDBLL8qenfY+gBDjYuBtkYYTCykMOzs7Eph/FZHLusuVK9deiZYtW3bo0IEmLEqXLk0jFiCmEZcSJUrQiEXr1q1pxKVYsWI0YgHHSSMukydLH1gvfjZv3kyjtLQKFSrUUqJIkSIkcHd3b9iwIYkB9WIFypcvTyMWhhMXLVqURlzYYmhU1apVg0CV+L///qPviyExvhfx3uKSyV7k6upKIy4m4UXQSRFIqt5eFG4cMnUvAqpWrQqv5uxFAFNIqqro3LlzNGHBVFHuHLADybzjzyFmqujiun6w0c7Nh6RMFeXJaQnbZx2Rrg7FVNGVTYNhY7Zc0rNPAG8VQZdMIy7mN6JTuIFULk51s5O+z1ffJULCiPfOawMbvSvQO17lLZKKr4RIL5LXRexVvhlJecVMYagQU3Lnlp7ZM/MqYlBVRd26daMJC1JFs6vQCeXeHhVY5+hS/7fqtixIK9JDeucJqaIFtVxk29IODajKOkeX2mbxNVmQ5vu/HfDKW0U7d+6kERczq6JffvmFpAxE3N6ZXo06yEv6hsvb+s/5D8hVVLF9d0rHRaRFMuLB3noWd3TliOWFwS9m+Pnz58uXL7N0FX348MHbW/rlgAKkinrnoYXxbH076CTlVfRz3qUwWZCWr6r0LldSRQPz0VHZyy1dQSyvopjpZ7/IgjTP8tLbKJSr6M6dO7y3TwJmVkUWFhYkZSDiUlb0gtTjA6X2Lm/rzx9Hye7fSktrNEG6gAlpkYz4xGDpLbF6FJfmiuWFwS9m4+npmaWr6M2bN46O9Bw0G/mILty9csfli2bmqzsLEmZE172UzcJly+v42pCbVOQjum+5KrRdvniOR40pkDAjuj7l7BYsXd7A31Y6SuCrokqVKjFnfhUwsypavXo1SRmI+OebM3X7LTqyZXHRrlK7lrf1tELZJEeOHCnpThsJaZGMuEgX6XKkuohL5eaK33LETGHwitlYWlpqtdSJ3jF+FZ06dYomLDLz7AKMuX/8+EETLuZURYDywhVqSk4Z3hZpOLFwezl69KiqdRfMrYrAdosrUbhw4RIlSri7u9NcTp48eWjEokiRIjTiAvNLGrEoWrQojbgo/K6SJUvCPy9WrBjNuUybNo0evemg6uR19uzZacLC1M90E6pXr+7q6koTLuZwppuNKi+C1xw56FkEhkzzInij4dXs79LbsmULWC5NWJiHFwG8fx1gbl6kpoqgxW/cuJFsITBVNLC1P7xBL79Jz8AyVfT9023YWLP3dJIyVTT0t2Kw/XmkdJLDVNGPz3dhY9Xu9PtTdhWlpqaSu/nNvor27t0LHTZNWDDi3q0KSDzyxMvW8GPa+vev1+CtG7/pDEmZFknFslmpLuJxG6WLLgC8YqaKVInZgIBGXLJQFQEK1+CQKtr3u/SqRGBcVelPmSry7Ucfs1F77j14JVV0uA/9+mhKHemZPaaKvLpvIkHV6dJrGdlVxFwXbPZVBLPzpUul178rQMQTK9FmUN5JGsjbekqT9bKrfhPezL8inTeSFsmIK+guTnzLFk+uQk8hErG8ivjFCmTLJl2qQZmsVUVAtWrVaCSvoi456bI+Hw52A3+RV1HUyrv0ZEC+ktJzd6SKeuai4tC/+8IkWl5F0Qtv0uv0PItKz90xVRQZGTl3rnTFJiArVBHvVb9EXMya3pxyaZL0XLO8rQe9/EZX6qk/UnoGiLRIRnx5ivQOJT2KA6yLybZRsbyK+MUKKH8VRjCTKho3bhwJNFbR2LFjw8LoF0GkimLe/T1izYW0lG/ZHKVXeTBeVMAmZ1Ja2rapHZ/8kA5BSBXFfTo1dNXptNQfdg4VIWW8yNcmB1Tgrpld7v+QfhhMFbHHAFmhil6+fEkTFkT8YEe/XbcjoGOR5G8Jqbytp9l5lIfXlSOahMqunCYtMl2cT7pIoC7iVaOassUPd/Zni5kRHa9YgUGDBtGIi5lUEYPGKgKcnJxIwMyLUpMTfsqvfmefXYiJ+ZkkG8QDzLyILWaqCABxIu3OaBUpXDhn6lV08uRJGqmuIt71mRlxdMT7F+/oBY1MWwdevHgRQ7/zTG+RmSNmn13gFbNRuPWVwUyqKDAwkAR9+/Y9qMSaNWtoJOPQoUNgEcePH+/WrRvdxGLDhg004tKpUycasdiyZQuNuLRp06ZevXrwcdJcxo4dO2jEZcyYMeTgxQy5DpWxVjhsqA0Fli9fTiMuvOJZs2bRiMuBAwdoxMJw4jlz5tCIC68Y+mgaKUHeFoMiLi8iQIPgFbO9iA3jRWzYXsTGzs4OOjaayDFpLyL1w1QRb7sBL+J9iAavmO0YbHj7dcOJ2V7EhlcM3TGNuJiJFzEIryKAaRNsdK8iX19f3iWHzGBepLGKPnyg60+wYcRX/1k7bZV01ReA3danTZv2+Kv0awaAaZH6Ej/6Qi+84hWzq4hXzIaZfiuQpasI2jqMu9avl66UwKBjFUE7S0lJYZ/pZsgKZxdu3pSe6FeAiA+OLftKthypRQ72GiNpbr9MgtcnxxdflhUgaZGM2DI7e6mTDIlPLGGLD48vxxYzVcQrVoBZxVuBLF1F5OxCSEgIe7G4DFdR5cqVyRLPQJatIt67P4g4wIaeYr4wgXOm+7l8Tfr6o/+BV9IiGfHFSZyT17qLi9sUlW2jYnkV8YsVKFSoEI24YBVRYPYMNhIaGvrlC73HQQE1VfS///2vTJkyZAsha1YRzMjbt29PExZEvKF7vmjZQMw5O/suoDS/PtIlliIeHT4guxiNtEhG7OKks/jxEbZ4U4/8bDHjRbxiBXinAABWEQdoB/BODRky5OtX8riBdJSraMOGDSDmfYRr1qyi7du38z5kkhHvXDW4Wd8+JGbaelpaTLNmzU4FU1dnWqS+xCef0q8HecWseRG/mE1WqSL2ChsMqtakX7FiBY1YkKHdkydPWrduDe+aj49P9erVmzRpUqRIkbp164LnwMbChQsfP36c6HnhNS5V8NahyOEd90If5ODgQBMWqsQ04pLJT6RUdbMDr9jLi64IoIC5PZES/IFGLFQN0ngv+oqKks09lWAu5GGjatFgZpUPNikp8i9luZhiFal6OvI0vrs8tHqUMu/AwXBiVSWnLIZWpOouvaz4XFcG5REdoPuZbiBrjuhgKJWUlKS8UAxLnJqSSrsS1riL07+wRkeZIWaf6VYhpvj6+u7YIb1LVxlzG9FhFWUOqqoIXvPkyUNSBiJ+fWb27INPk8ODJSUHQ8q09ewObsnJycNaBcTI7rYnLZIRWxSXnvbURTy8NUf89uwctpipIl4xG2dnZ3bJscEqUgSrSAhqqqhAgQIkZSBi5mJqhTPdL5hTzKN4rrxWOHmtu7i4Nf+Zbl4xmzVr1mAV8YBVlGHUVBHMHxSufiLiIYVpM2iYQ3qHj7ytJ3U7Il0vG97Liael58dIi2TEjfQgjmCLhxXhiOWFwS9mqFOnDryaeRUxs3msIsNx//790FD6NBo1VQQonBFmxPVKSRfEDJc+Kjpd/PrhVtjYbjxdOYhpkfoStx1HH1LKK2YKQ5WYYGtrC6/mXEVLliy5cEH6ZG9A4XIeAvPZK8B7tVtERASNuDCXjbNhniagAO85Oph504iLCZ2jY96Ep0+lS8MqwDSyLl26kICgXqzAkyf0gTdsDCfevp3e0awAW3znzh3ShFSJTbuKoPNgII8GQfQOODm8vRCwvwO4e/duvBIbNmwgQUJCQkBAAIkB9WIFbt++TSMWhhNv3LiRRlzYYvjzSaBKbA5eBDBehBgOmBuQcgLUj+iARo0a0UiAmA1vizScWOMg7datW4yXahQbFINXEZv+/fvTSBNSC1NxTYeOME+8EYKBjsGgCCmMKlWqkICIEyMe+NfvMWVEr4YTz0PKiCvnlEyZMsXdmr4JpEWmiydIv33Sozgp4iFbzBQGrxhgfzpZqIoMAXkrtWruvFMjZWCfWu1WJAipIphEkWuviLi8Jb18Zn8X6alwufjN7Ug6XWwyTTqgIC2SER/oxl7UWw/iCpb5ZduoWF4Y/OI1a9awTyCZfxXBeIOcjhQCKO/fv08TAZCGbqDmbq5VBJA/jYib2dNL7KYWlz7FRC6O2vyKnLpM6LJeeh0NaZGMeFoJPYubO9CnzRKxvDD4xRUrSteoYUAv4kHVGXC94ONDV67TiBlXEcy8YZgkF8c5yB4ctOeedNUxRrxgQCnYmD0vXQ1L3iKpePddncWe9DtZXjFTGMpiSEnMgFWE6BOBVQRAFfGe6eYVA7wt0nBiVYXRokUL5VsBsIoQfdKhQ4cBStSrV49GXKBTHz58OE3kqBK3b9+eRiwMJ65fvz6NWPzyyy+9evWiCQteMRAcHEzfF0OCVWRuCPci4NmzZ8qjIzF7Ud68eR89ekQTFuhFiD7RqoqI2MqKPgqSwIgX9ikNNZYjXwmSyltkvEM22Kw4icqIWHESxRErFwa5XVd4yQFYRUhGyEAVATY2NiQA5OKozS/JybH4ruwzafacM2l6FLfgP0dHsbS0JAFWEWJwMlZFAJgACeTiN+lf1EyVfhtLWiTzFdDB31V8BZRRMfN9EREzhZGSksIucqwixOBkuIoAUkiMuLKrZNq0abltaCMhLTIx/EHhBr2mjepdf5z0WcX6FEdwxKQwQkJCihal9x0RsIoQg9C6dWsa6VZFgK2trarVyXlbpKo96y7esmXLzJkz+/ShSwIxYBUh+kdhUZcCBQoUVsLDw4NGXJTFRYoUgRmIt7c3OADdJEfHPQPCxfDbc+TI4eLiQnMWWu3Z3J7rimQOOnoRQMQWFhYKt0VmmhcdOXLE3d1dq1uG0IsQfaKvKgI2b96scVqv3yr68OEDzM0+ffoEsVaFgVWE6BM9VhGhQ4cOpUuXhsCgVfT69WuoH/ZqnlhFiNHQexURZs+enSdPnufPn9Ncju5VtHfvXqifs2el5+XYYBUhRsNAVQQ8e/bs7du3dnZ2MGtnlrXIcBU9efLEzc2tfPny4eHhvIeBVYQYDcNVEbtFhoaGVq1a1dra2t/fPygo6Nu3b/QHcpSbb1hY2PTp0319fR0dHbt06ZKcLH9Qqz4KA6sI0Sdz5syBJqVAnz59aMRFKzEM6mjEYsCAATAka9myJYzK1ACV07t37+HDh+/atYv+Sxa8e+7Xrx+NuGglhgqn74shwSoyNzLHixgMJ4YaoBEX9CLE4GAVscEqQjICVhEbrCIkI2AVscEqQoTCfuwcVhEbrCIkI2AVscEqQjQQFRU1depUsjCYRH6P3du3b0nAZu/evTTiopX49evXNGJhOPH+/ftpxEUrsbk9kRIxKEwVIZkPvvUIoitYRVkd4Ys/AwLFYIxaLRMNCD8MrVxX1XPp9QtWkblhZ2cnfAllQKsq6tixI430jcA9QwkJryKtxLqAVWQ+aNViQAzFJmtmmv8V0ah68KHuCN+zwAMmEGUmPIROi/cdMQmg6Wg1jBHoRXFxcbIGLKjBgEz4c6K02jMgXJk5ywsDWEUIoitYRQiiK1hFCKIrWEUIoitYRQiiK1hFCKIrWEUIoitYRQiiK1hFCKIrWEUIoitYRQiiK1hFCKIrWEUIoitYRQiiK1hFCKIrWEUIoitYRQiiK1hFCKIrWEUIoitYRQiiK1hFCKIrWEUIoitYRQiiK1hFCKIrWEUIohNYQgiiE1hCCKITWEIIohNYQgiiE1hCCKITWEIIohNYQgiiE1hCCKITWEIIohNYQgiiE1hCCKITWEIIohNYQgiiE1hCCKITWEIIohNYQgiiE/opoQtbVvfrNzAxLe0N/CeYL/cOjp0waUj/fgMHDnn9PoZu1cTRP1f885bGiBqOrVo8aNBICMJTyAZBPDu6dOq0aUMHDRrzx/jwWLpRPafWrqFRWtqNXRs37rpMk6yBHkoov4V8Jyn3z0bRUCATmhQJS5IGb0+s8O4QKNumDtsC7WiEqCW7hH4osZGHnieQUCiN8jqQ4NKiDo1mnyaxGrrIf9eXM4M/QB+aFDLmfCjZkhXQtYQiLgdWGbOfJmlpP2NT0pK/FfX37zbzEqRXN3QeuumazGASGvr7T93zECLffDWkUhmzmhX/LDeunPJPIi3puz+L2GS6uZS1JDEhNjE5leaICl5ubddh4wuapKXFJaSmJYcULlx4yq5nkO6aUm/Z0XvSdzE5ukph/43/foaN/mW6y7RS2uZzolFamjXzoYTdhz0w0I0y2ss1Zd0l5LOyKFhb9v8sga4ldHZa+/EHn9JExsIWJeE1QGIBr4V/mwuvH2LTXPN0vn//fqcykndSSTrsEiolkUSTKDUZxAwp8pKxKDsIXh+vbbn9nTZDk6zH2uZl/3oTSRMZ/SoEwNtKOqnG0/6GV2jr+StPevz4cSl3icJ4jV1C7hJaFWlJMSBmINsITAn5yQOJc1kSZAV0LaG0T+cK/y99KPzlY9TOwfXfp6VVkFhCmhpy3lUiefwz0dGlKhFEyoZtDOwSkkhsaKQCq9qTpf+Lj66zlPMRIgokPlldY+oNmqSlff8WO7tlMagT+Cwgjfx3s61EAiNuz5pDiSCe6+vsEpJIHGmkGqaEmhfNJvt4k/JU6inbkCXQuYTS0tYNaBa4+yIEW/7cAK8esjc0h8Tiy+uggP4b01L+++dj3Lrf/Gv1GN6zaWX40cSJi+GV0Dwg5/t4+H9SMWtJEPUglWzpXyMsLW1xu3I0R1QzrknZHReeQLBt+Tp4tZB9KBYSiw/vP7ZZcS7t67FXaWlDy+boOHpKxzoV4Ecz5+2BV0Le7NIRRFpaeA6JJFI+ilZDY3kJpaV97Hf48ZmZLYWdhjAT9FBCCJKVwRJCEJ3AEkIQncASQhCdwBJCEJ3AEkIQncASQhCdMHgJTZ06lUYIYo5gCZk8kvRvNhEjYMB3Hz5aAsTR0dHd+RgwYACNWPTs2ZNGXHjFPXr0oBGXgQMH0oiFKvGgQYNoxIX8ISKnTp06cXFxJH7+/Dn8LcoMGzaMRixGjRpFIy7mJCZvi0HJJBd68SL9wmE2y5YtoxGLd+8ULkalzJkzh0Ysvnz5QiMuU6ZMoRGLqCj+mzH++OMPGrH4+fMnjcSNh4cHjdLS/vrrLxpxUbgwlKBK/PCh9IJ6BQwn3rp1K424GE6sXzJpDIAllDlgCbHBElIES0gjWEJssIQUwRLSCJYQGywhRbCENIIlxAZLSBEsIY1gCbExqxJ6+fJlJB+BgYE0YgGfN424TJ48mQTfv3//Ief169c0kgFFQjRQFSRg8+bNGxpxGTJkCI1YvH//nh696QBtN56Pu3fv0ojFhg0baMTl9u3bNGKhSnzv3r1kGW/fvl25cuWoUaPatGlTsGDBKlWqtG/ffuLEiTt27IDOiGh4D2Pjxo004sJ7GNqK6ftiSIzsQsuXL6cRiw8fPtCICxgLuJZEIilQoMD//ve/Q4cOwW4jIiLAiK5duzZp0qSAgAArK6sOHTqAj82YMYP+MxbR0fx3xo4ZM4ZGLGJjTe/mS1Xd/9OnnPUtCKo66SdPpLe7KqAgTkxMPHr0qI2NTa5cuRo0aLBnzx6oEPozrjg1NTUuLm7p0qXFixd3cnLy8fF59OgR/ZmM7du304gL72HoRaxfTGMgB58QVA7UBs1Z8A7kbt26BXroDmkuBwdybDIwNvv27duvv/7q5ubG9H0ZG8gNHDgQPiAyMt+2bRvZqAAO5DhkuIRg/ABdHWn6GZgLde/evVatWmQLgCXERqsSgrEuNPrNmzfTXE7GSohh/PjxsNvLl3lWb8QS4pCxEoI3lz2oy/DpBBj4bdq0CQIsITYCG3q3bt0cHBwWLVpEcy46lhAADR0mVPBZr127lm6SgSUkZerUqTCthEDbElq4cCFMRmkuR5czcq9evcqePXtMDP+yw6ZeQtD+SKDfEoI2DbOXpCTpylZaVYW2JUQCmNayO00sIQr5dLUqoZo1a/LODnU/qc00NQWwhNhAcwwLC7OwsPjx4wfdlCklRDhx4gT5c7CEODx//pxGXGCqQyM5fn5+qoZbS5cupREL0kcqM3eudCFVZVxdXWnEgrfeTAimhJTnKoSQkBAasdi3bx+NuDRv3lz5fKYq8Zs3b2jEQivxgQMHaMQCBi+HDx+mCQteMSB8z3rHsCUEAzlyy4CqElI4c9+uXTsYa6nq/nkti30ulY2qEgKUvcjsS+jjx480YsHbwmxtbXmHDKqao/LpU0Ar8aFDh2jEZdasWY0aNaKJHFVirfasXzLJhYQM5KDrOnfuHAS8bweg+0CO8becOXOSgICnEwDojKytrSHQfWymy0COgYgV+rusO5DTWEIpKSkwfiAxU0Il7Ww/hoXP6VH1k8xpSAklRt36beLW8NAXtrmaQcqUUFk72/dh4fN713wnG9mREkr+fr/l2E3hn1/ZOjeElCmhyMhI6ORIDGAJwXterhxdaZk0x7D7W3suPPbi1nGXelI/Z8R5rCXwaTYv7UzSjIgfbGOLmYZOxC24YoBdRVhCijAlxH6b5CUUteY+nc56VZgPr6SEuru6y7alfTjUIyG9hKIX36RXHuQtMRNeSQn1dafi0GMD47kntWvWrEmjLF9CT58+7du3L4kB0hyLW9MnoJwd4wuvcnHwsyj6WI0GY6SPHsqAuIS1v2wbFcsbOr+Y4OhIV8fHElKElNCzZ8/YV6AwLlRhwgkSVJt+HV5JCW1tl1u2LW3+L57wyrhQyREHSVBuvPTRRqSEdnfJJ9uWtry1N7wqnKhwcqKPMMjKJQTTpBYtWpAtBNIce3jSttHRLRu8yvccP/ryV1nwffhh6ceUAXGvfByxvKEz4h9sMQNM0uAVS0gRUkIK412mhD7+dwB+VLgxfdIGMxdqWdEFtl99J/UopoQ+vzoCG/0a/k5SZi70a2U32H7pjdSjFEqIWRoly5YQvCFVq9Ln1jAwzbGwO7xzkhey94zZ87XDE2BjxbbDSaq7mGnoVNxmGEmVqwJ+un9/+vPg2GTdElq+fDm0VIWfqrpEOjCQ50mSYWFhNOLClAcb5ctMixUrBq9mf5kpbwnt27fPxobnmU68zVHVnnUXa2UsUEU04mL+JfTy5ctPfMycOTN37tw0kXPnzh0acRk/fjyNWDx69IhGXEaOHEkjFjBipJEcT09PeB04cCBJ2cAx06M3HbZt2waNSZkDBw7QiAU0x6CgIJqwgNKiEQv4pGjERXfx7NmzacSFV7x27dratWvThIWqPdP3xZAY2YVWrVrl7EzPwDAwAzkF9HhSm+Ht27fPnz/PggO5bt26kesGlYHGRyMWInEhEMNhK1+8otWe9YuRS2jFihXgOTSRw5TQiCo5evbtV8SZHqS8hOKy+VTt16tLiY6rIWFKaFzNXD369gtwpWJ5CSXYeFfq17tb4d+kky7lEgIaNWqUBUvo999/Z8Qt/SQtWrSwkz+5nTTHlNiQXIWrtWhYvc9q6e09jLh1IV3FqVwx09CJ2F4+VFMjtre3lypYZN0SglFcSoris4flJRQz9wItD+8GK+GVlNBgb/qt6JMVbZPSSyhuyin6BXzeGtJrikkJjfSlFvdsfVcQ85YQjGeyWgmRGYVc/OFyOHmsfmrLwH/hf6Q5VrWkZz63tJCezGTEF3UWV+OK5Q1dK3FavXr1SEDIuiXEOzuUl1Dy0N3Sh7wDhTvvgFdSQlPK0hI6PapuanoJJffZRO+F9GkjHZ+QEppVyUW2Le3i5CYg5i2hfPnyTZo0iSYszLWEQEPOwcjFX//+RE6cJLVddhP+R5pjPWva+yyvIf1igBEf0V1swxHLG7pW4jSFlUqxhDgwA7ndcxvZ2dvZO2YnKTMXcnCwt3OwG7hO+mURM5A7uKSZVOxAv+ph5kJE3Gul9KYu3hKCD4N33mlCJXT9uvStAISUEPOeM+KBDbP7+PjY2tG+iTbH5AgHV08fb8/Av6UnSBnx4EY59CtmGjoVZ8tBUvViwM3NjUbmXULkA8tYCSlgiNMJwKJFi3ivSTWhEiI3ZQEaSwgEzNcAqsS8zdFwYlUNXaMY2gMzCzDnEoJ+BV5DQkLa8wElRCMWzZs3pxGXkiVL0ohFq1ataMSlePHiNGLx66+/0ohF1apVS5cuTRMWyksviJ8DBw7U4qNChQokcHR0JAFQpEgRGnEpX748jVgYTly0aFEacdEorl27NrQfEqsS0/fFkKALpc2fP9+kXWiqDBKrd6Hg4OD79++TLYCpuxDQqVMnEpitCzEVkrESOre6Nwjs3aU+BjAllCeHBWyf87f0ZANTQpc3DICNdm4FSMqUkEdOS9g+7ZD0mwTeEhowYAD7qm0G8zudwFysSWDEu+e1gbfIuwK9Ul7eHFPd7GCz5EoI58bvvfoWMw2diL3KSy/AB9SLCQkJCQsWLIDAbEuIIUMllNptPe0yA/pKLyElJTS3Op2bHuhTiXVGLrW97DQOUKjbLnglJbS4Dr1H9e9hNVWdkbO1tZ0wYQJNWJhfCSlcTioX/1zwkLwtsX13/gf/I82xvbOVbGPaYG/p/J4Rz38QKQsyLu7oyhHLG7pW4nRIE8q6JQSTEOVL0eQl9GPJtQhZkOZdS3rLNymhfp70PPWLTZ0S00vo5+wL5DrftLyV5sErKaEhXrSEXu/oCWLeErK0tMwK3wvdvXuXJnLk4udBUfTO30YTzsIraY6lrKR3IgAnBheEV0b8WGdxaa5Y3tC1EqezePHi1NTUrFtCW7Zs2bNnD03kMAO5LsUtFy1bXrugFRgIIB/IRblXbL988WzP2tMhYQZyPcvYLli2vJ6fLfkc5AO5aNdybZYvmeNedSIkyiUE736fPn2yQgkpX0jFiP1sJUeOHCnpThsDaY4/35yp22/RkS2Li3SRrgnKiAtl01n8liNmGjoRl8otSMzm8OHDWbeEli9frjyWy8zTCWSVZ7MvoadPnyqvu6JKzNscDSdW1dCFix0cHMy/hKAqivPh6elpZWVVokQJmssoXLgwjbjkyZOHRiyKFi1KIy7u7u40YlGsWDEayYEChlc3NzeSsgkICKBHbzqoOamdP39+msgx9ZPaDNbW1sxZezZmclKboMqFyC13K1asICkhM12oY8eO8Gr2LnT+/HnlaxHNxoUGDx7M28DMyoXUlxBZOIaBKaHojzfBJWr3oWuaMSU0uHUR2P4iSnpVIlNC30PvwMYaPek3JEwJDWsTANufRcRDrFBCpUqVIoHZl5DCuTgCI47+eg3eovGbzpCUabu9WxWQeOSJl5UeI/6ubzHT0Il43EbpwgmAejGb+/fvZ/USgtkI+yo1poT8h+wlQf1F0neTlNCBnl6ybWkTa0rnx0wJFei1hQQ1Zt+GV1JCx/rT8zkzG+aCV4USathQuqwPYPYlBE2TRizk4pRmG2QLVyS8mX9Fei89absTK9F/UsFJGjDiJutl9+roIJ5cxUK6US6WN3S5OPGtALEip06dohGLLFRCALMCEyAvoch1D2kj9ionvXqAlNDvLnRRnk9HeoINyUvo29Lb32VBWt4A6Zk6UkJ93Kj4y8lBcdwSgjkojbJ6CQW9/kbHePVHShsiabvFrOlU8PIUP3hlxC91FgdYS2+2B4hY3tC1EisyZMgQGrEwhxJi5nMaSwhg7qNiXCi/jUtSWtqWye2f/pSe1iYlFPvhxPDVZ9NSv2dzqAwp40I+1jkT09J2TP/fox9SMSmhhNAzQ1b8A+VgbyctUaaE1q5dy77UJWuXUJq9RwV4XTmiSahs1X7Sdh/s6LfrdgR0ZJJ80kEgI7bzKA+vuogf7uzPFjMNnYhXjWoqRKwA70jVHEoIIB+ekBL69u0bWc2MfTohJuZnEvlWiDUXSk1O+Cl/RgP7dIJUTDuy9LkQW0xKCGqjW7duZAvBpEvozZs3TIVkrIQA+IBi6BebtO0C0RHvX7yji3EbTsxu6FqJ2RQqVIhGLMykhAivX78+yEevXr1oJKNjx46LFy9et24dzbl06dKFRiw2b95MIy7t27enEYtt27adPn0a2hPN5bRu3ZpGLHbtkl4oJH7IquUE+AMf8wF/Mo1YzJo1i0ZcDhw4QCMWhhNDz0gjLlqJef9Aps81KIYtIWa9fSEuRFi6dOm0adNowoX3HWG7EBvGhdgkJCSQFf0UMGkXunDhAo10cCE2TPfPxnBiVV6hlThPnjw0YmFWLiS8hIAjR478/jtdUZGNjiX0/v37vHnz0oSLSZcQuzwyXELQbT3+CnNJKUzbvfrP2mmrpKtWAIYTsxs6iB99ISsoaBazqVu3Lo1YZN0SgrkQTFqyZZOuFstGlxLq0KHDwoULYbpFcy5Z/HSCe2Ppe/Xk+OLLsgfMkbZ7cGzZV7KTL5bZpd8iMGK3X6TrTOgiPjy+HFvMNHQqPrFEiFiB/v3704hFli4hEpQtW3bs2LEkBjJWQrA3GLyRxxApfC/EkLVLKOilfD34+qP/gVfSdgNs6Nnki5M456mf6ywubkPP0xKxvKFrJVZE4TmtBCwhCoy+yLNytSqhmTNnwoQSms6ZM/SrcSDLlhBzHQYbRlyoj7SpRTw6fEB6nw5tuxu654uWjb9cnNi3AKX59ZF+ha2LeFOP/Gwx09Cp+PERIWI2X79+5W1gWEIc2rRp4+rqCtMkmstRLqGgoKAWLVrA/FJ5kccsW0IbN25MTZV/OSCHJY5p1qzZqeBwkpC2C+xcNbhZ3z4kNpyY1dCl4pNP6eoomsTpBAYGmn8JqXpQ5Pr162nEQnnxeMLKlStTUlK2bNni5uZmZ2dXpUqVRo0atWzZskmTJjVq1ICaAc/p168fWdWe17JUMXnyZBqZOKoeFAnvifItdwcM9uxHrcS6P/uxcuXKvE8nyBIPily9WrqorwLh4bTTUmDhwoU0YsF+KjUb3uUQEhLo2R4FeG/8NkVUldCHDx+KFy9OEzn7DPYEYq3EqupNuBi6zrdv39KEhao96xeTGcgBOp7UBrLsQI5MC2kihy1m3wrBjKDS0lJTUul2w4nZwy2txAwzZsxgidMxq4EcllDmoKaElM9ZMeLsju7JycnDWgXESBfJoW339ZnZsw8+TQ4Ptig+ENJ0sYObjuK3Z+ewxUxDJ+LhrQWJGWC0Bh8rlhAHLKEMo6aE4uLiFJ5xJhcHvWLOJo/iuURa4Tz1C53Fxa35T2prI07H01P6vFAsIQ5YQhlGTQnBq8JYTi5O6n5U9l1mWvjE09JJOWmOQwpTcaMc0jt2GHG3I9KzNbqIhxXhiOUNnRFHCBCn06FDB3g15xIiC21iCRmO1q1bM7WhvoQOHz7M/qMY8asHW2EP7cbTUztMc6xXSrqKZbj0ft908euHehYzDZ2I2477k6TqxYSNGzeSL82zbgn9+Sd9v9h8/UpXhFOArFupwPfv9E47BWbOlD46X4H4eNnnoMT48eNpxII9tTUVVJUQ80D1mjVrkgBQ1cKUnyEHGE68fbt0dStlhIihtEig1Z71i6FKCP42BroJ0Tfw3jKraROghKCbUIas9QW0b98eJkUk3rBhAwkUuH37No1YGE4MTkIjLhrFjx49gsohsSoxfV8MSSa5EGI46sggsSoXIgM5AvOUfFVi3kGR4cSqLEujmN07m/NAjo1wR7Kzs6ORJqQ2J3i3WolNESEl1KxZM3KxDyOulFMCU0d3a/rOkOaYGPHAv36PKSN6NZxwDlJGXFlncVLEQ7aYaehaiWFqQC5DIWSJEqpSpYpWzRftKwMIKSGA9FBy8Zu7UbIvYtLSmkyT3r1HmmN5S7pS0oFu0idrMOLbkbqKK1jml22jYnlD10qs2B2beQnBMAPG3xBoLKGTJ08yYxLjEhwcTCOTQmAJwSzizp07cnHUltfklExCl/UP4H+kOTazpyscTSshfWAwI978Sldxcwe6zgwRyxu6FuJffvlFti0dMy8hBq1ciDweTyOtW7f28PCgiSZ4L7syJwSWEABGtHv3bhLP618SPprseelCVvLmGOcge7DP7rvSq36ZPS8YUEq/YqahU7En/ZZWlTg2Nlb5kWpZpYQQQyO8hABolzTiwtscVe1Zd7Gqhs4rPnjwYPbs9PHVbLCEEP2wd+/eAXx06NCBRix+/fVXqCKasGjfvj2NWNSrV49GXHQX169fn0ZclMUDBw6EAx46dCjNWajaM31fDAmWkFmhlQuBePPmzadP0zWsGUTrQlCZqr7qQRdC9IO2JQSvgwYNCgoKIlsI8uYY75BNOgnZc48zvVnYpzRszJGvBEl1FzMNnYoVJ04UMNK3b99qNerDEkK0JgMlBLRp0yYkhC4XCpDm2Fy+PrPiSbaX5LxZfFf2eTNtxC1UnZHjExNGjhz56NEjCLCEEMOSsRICYC5x8eJFEpPmyHzVc/B3FV/1TD0PrxkQM1/1ELG8ofOLgXbt2v37778kxhJCDELjxo1JkOESAtauXUvWkCDNMTH8QeEGvaaN6l1/nPThwYy4sqtk2rRpuW1oy8mIOIIjZho6r9jPzy80NJRsAbCEEIMAUwgS6FJCAEyKihYtqjA1IqjaM2/b1UqsqqG/ePGC+bsYsIQQg8A0tYMHDxbmo0CBAjRi4eHhQSMWRYpInyDo7+9Pczm8YkD4ngGBYjiGQoUKwWGUKFGCbpKj7Z7J22JQsITMAX25EAHEgwcPZh4BSMg0F0pJSbGxsbl165ZWxoIuhOgHvZQQ0xyhFwdbI3HmlFDPnj2ZeR2WEGIE9FtCwMuXL8Hitm3btnPnTrqJi75KaPjw4e7u9KmeBCwhxAjovYQI7969s7KyglZOcxa6l1DFihXLl5c+IlIBLCHECBiohIDNmzcnJydPnz49W7ZsK1fSp/0AGSuh1NTUdu3agb+dOnVqx44dZKMCWEKIETBcCbHFUADLli3LlSsX1MCiRYs+ffpEltFh2LJF+owGNrGxsSEhIT169IB/kjdvXvYz7vVSFVhCiH6AGQu0G2XmzJlDIxZ9+vShEZfZs2fTiAWvePv27UuWLJk8ebKfnx/UhhqqVq26YsUKqDf6L1n069ePRlx4D0NbMX1fDAmWkFmROS7ERncxtHUacUEXQowAlhAbLCFEa7CE2GAJIVqDJcQGSwgRCvNkLiwhNlhCiCAkrMuZsYTYYAkhGpg6deqFCxfYa1aqelAk73MU9+7dSyMur1+/phELw4n3799PIy6GE+sXLCGTh+1CSOaD7z6C6ASWkLmhlSkJFx86dEirPat6GpoyWu2ZrCwtkMxZXBpLyKyAqZHRFyUn9aBVvRkIKONMWBsdS8hM6N69O7Ragc2XKAka1y4XomEDeuZVv0gPVwbNBdC/f38aGQz9/52IWaJt2xWO4fZ88uRJA+2ZDZYQgugElhCC6ASWEILoBJYQgugElhCC6ASWEILoBJYQgugElhCC6ASWEILoBJYQgugElhCC6ASWEILoBJYQgugElhCC6ASWEILoBJYQgugElhCC6ASWEILoBJYQgugElhCC6ASWEILoBJYQgugElhCC6ASWEILoBJYQgiAIYkzQhxAEQRBjgj6EIAiCGBP0IQRBEMSYoA8hCIIgxgR9CEEQBDEm6EMIgiCIMUEfQhAEQYwJ+hCCIAhiTNCHEARBEGOCPoQgCIIYE/QhBEEQxJigDyEIgiDGBH0IQRAEMSboQwiCIIgxQR9CEARBjAn6EIIgCGJMxOJD0c/OVfB0ajJoV+yPRCDqxaZqXjkkktIP6c/1T2pKckL0g+p5bS3zlbsUKf2lifHBgROq5rS2atBzW2QClelGwo0lw1yy+3WYsDEo9kdKKt2KIBklNezqDj9Xt57TL8XHxMfHx76+PKuIu132fG1DqUD/pCQlRj3Z52ItyVGj/yv4nUD4hV6/+2WzyD5w/tVEnVv1jSUj+g1u5SCRVBt3mG6iJB7qXdqz11b4hVt61W866SjdjJgdIvCh5MjWeSW2JUYk0zyd6NNDNt1NpIlBSJjVrHj2orU/c35J6p52ZSQSybhLUXRDhjgzt74kR50PcTRFEF2Je1XNXpK96Wqasni6t/+/71JoYhBC2+ZzKth2Ks0ocRMLOUokTrs+0VwHvraXSCpNOEIzIOV7r/K5ijQKjKd5wuz6/oXqTpeniFlhfB+6vrS7RGI5eNt9miuT+L138WxebddBmBK8GRxi/tn3EIcc6Ny4r3QAlfDxULHCZT4nQRi1onXAxL1BEP0I2ZZHImmx44106/NLc2f9+fyHstPx+hBwq7RE4ug6KJqmWnM3sCwc54iN+zesGNm3cwWJTcGlJ6/RnyFIRkjZ06MKdPrLHoTRDcp8f1nFStJo3hUIww8PkUjczofGQHw2sO7otdIzC+9uzizRaKB0ApP6/o/qpdffCYfw6Zkx1hLJzHs/IH51bdeMedvDeMZ+vD6UFvV2i7tEUrbpGuXS0hJFH4r5dMZPIqk75TzNYWA3oY7EuezzCJ1/FSI+jO9Dd1b3kkgs+my4RXMVJAX/06D8/6aNmeUnsWy35BJs+fZqhbNEYutRrvvYRdJ6Sku7uvR/TjmabNxOOXD42Kkzt9VOSFT4UPTxvOBDFWdJrY0hJfHisZ1011x2nbiSxD07MbeGrUPzWTSBKV/crQCJpPbSxzRHEK1JPdgffMh+/q2vdIMK3p35q1alPotGj8ohsZh8Xnq6LvhEfxgVuRWtOXrZAZkkZUv7Ul7lem36i7DlwKEjZ68Gq+3g+X0o/M5Ce4mkSv+DnOYf+3XvTrprBfZefkY1iij6UGLY45KOkrqTz9E8LWVH50oSr+rvvuPZbTNEFN8PnRxZHgzlr2eKLezKwvkXI+J/vt+dQyJZ+oRse1ZRYtlW5kM3Fy98Ldv07c2h3BLJmDMffv47D+pt0moqTUuL39h19Ad1pysSiQ99YRlOwrur/nYSr3oDpCPJjPI95C9Hy6IPaJaWGvuwsMRi53ssIUQXUhb9mldi4XRZcUaUenT2vP9ik54fm2wpkfxDfhpzzhVqQeZD55cs/ibdlPL53wVQIFtC016tbyGx9tx5hTnzHPnniHkx6ponjw+FX1loC+YxaIc+Tgh+7QC7msj+Bij17rImFj6NvpAzcYlhDQtYNlvxSJYg5oZYrlMAfob+27NrhyJA8YDOgZsjWF/r3zg4p7B/4dath0emxP7ZvliR6h1ex6be+/voi/u724K+ds3twbJCk5JyaO4E/0KF/Pyarjz3kWx6emCsn1+D819IRnl7emHxIkUKF5b+QkrxYrUHz/jnkYbxpnD+3d0rAH5H+TJTzv1HNyGIznx8tLd58+b+/v6Fy5QcvvbYz+T0Stkzv4+vb6Ge/efGJkWOqOxbqOXIb6mp147sv7d/dt3Chf1btboUysz9o+f16VaggHcB/85Hn9HyOTD5V79S/V7GkoxydXEXf/9CvoCfH/xOKeVKNR297OG771ShGyk3FsOhSffv6+dfrMH1r+xf/3len7LwC7vN2PHdoN9/IUZFRD6EIAiCZEHQhxAEQRBjgj6EIAiCGBP0IQRBEMSYoA8hCIIgxgR9CEEQBDEmJu9DderUmTpV8fY6BEEQxFQwbR9q3br1hQsX0IcQM0AiwZMTSBbFVJt+VBS9FRx9CDEDwISgSS9ZsoTmCJKVMPkhmIIPvXjxYuXKlTTRxOvXr5cuXUoTTYSEhMydO5cmmvjw4cOsWenry6nn8+fP06ZNo4kmwsLCJk2aRBNNREZGjhs3jiaaiI6OHjVqFE008ePHjyFDhtAE0Q0fH5/NmzeTWGFWBNvv3LlDHragkXXr1hlOfOvWLZpowhTFGzZsMEXxw4eGezBOpmJupwLAh1atWkUTTbx582bZsmU00cS7d+/mz59PE018/Phxzpw5NNHEly9fZsyYQRNNhIeHT5kyhSaagCH2hAkTaKKJ79+///HHHzTRxM+fP4cNG0YTRGcY+ylTpgwJCH/99dfjx0KXxzWoWHiXZ4rirVu3mrdY5KAPoQ9R0IdECHSm6EMMhhOjDxkX9CH0IQr6kAiBzhR9iMFwYvQh44I+hD5EQR8SIdCZog8xGE6MPmRc0IfQhyjoQyIEOlP0IQbDidGHjAv6EPoQBX1IhEBnij7EsHfvXqhZmmhCqz2jDxkXc/Oht2/fNm7ceJIwBg8e3KhRI5poYujQofXr16eJJqCPrlu3LgRgMOBes2bNgn/r4eEh0RI/P78OHTosXLgwMDBw6tSpsMORI0fWrFlT9ks0M3r06OrVq9NEE2BCVatWpYkmxowZI9zhkAwDPS80gAHCqFevnuHE7du3p4kmhIihmqAJjR07tmzZsvb29rS5s3BycoLGX6JEiVq1ajVr1gx22L9//wYNGsDroEGDunfv3rZt2zp16lSqVCkgIMDd3Z3+My6+vr6dO3eeOHHiqFGj4F/R380HlKfwP1A84uDgYNpQTBycD+l/PvTp06d+/fqR6vL09ATnuHTp0vv37xMSEqiCC8yHZs6cSRMuP378gKa2Z8+e3377jZQWVGbXrl3pjzWB8yFTR9tZi5jnQxs2bGjZsqWPjw9pyRBv2bJl8uTJN27coApNaHUY27ZtO3ny5Llz58CHoGrgN2bLlq1ChQpgSPfv36ciOTgfMi7oQ3rwITAYqDFXV1dra2vonT9//hwSEjJv3jz6Y01odV4O3AJGkUFBQTDRsbW1heHkvXv3UlPTnwzNBn3I1DGotRjIh0j/eOvWrebNm7u4uIABNGrU6MqVK9HR0VTBQqs960WckpLy8ePHBQsW5MqVCwrWy8tr1qxZK1asePLkCVVoAn1I76APZdyHYFRVuHBhJycn5aUTMvP7ITCbZs2aQbX36NEDdkW3ykAfMnW0dQsj+lBYWNjUqVMtLCxgeARtIykpif5ALUL2zGA48aZNm/Lly2dlZQUVfe3aNfUHjz6kd9CHtPAhMsW5c+cONFlvb28Y4pEfKWOs6xTAKcGQ2rVrB6YCKfqQqaOtW2SyD339+nXkyJHQ5EqXLg1dOdmolQGIRMzu0+GP6t27t6OjI0zmTp06RTayQR/SO+bgQ1AGNDKkD0E3nTdvXvhd27Zto5tUY9zr5VJSUgYMGACHCn/d9OnT6VZNoA8ZlwsXLrBbMgE6UxH60NmzZ0uWLAlHO3v2bLqJhVYGIBKxqj793r179evXh790xIgRMTExZCP6kN4xeR+Ki4ujkQxD+FBiYqKvr6+dnd3atWvpJk2I5Lrto0ePQgn16tWL5mpBHzIi0LrgVcw+9OzZM2hOzs7ORYoUuX37Nv0BH1oZgEjEGvv0+Pj4BQsWwAfUpEmTdevWPXr0iP5AE+hDQjBtH/Lx8aGRnPfv37u5ufkJw9vbW724QIEC2bNnz5Ytm5eXF/yuXLly0R9oAv6hq6srTTQBe9ZK7OLiQhNNgBj+QDhsqB93d3d/f3/6Az4KFiwIvQxNNAFi4TMtRD3w6bChW2UcPHgQ2lJhYXh4eOhdXKxYMWg25MJoMMsSJUrQH6jGEIdBMLoY3g3oNCwtLS0sLKAKwJKB9OPjw6DH/N9//9GGYuKY/HxIAT3Oh2C8DyZEvmgBTP0+1l27dkFXcu7cOZIqg/Mho6NgQgAM6o01H0pNTe3bt6+VldXmzZu3bdsmfOhtuFmL4cTaTkSePHkSExNTtWpV+MjUzw5xPiQE9CEeH3r58iU0L4Vz38o+FPrkSOsqrqAEijXre+sjPX0MKPvQl6fHfqsqnZcARZv2ufnhJ/0Bnw99CT7Wphq9Na9w417X3/+gP+DzobD/TrarnoeIC/3S42oINU5A+TqFMmXKlCpVivdOJvQhEaLRLdjoS/z58+eAgACYTEObJ1uU+/TX97fWK2VJWl278avD4+l2wCTEbcf9yRYr9+nCxeR8napBKvqQENCHFH1o+fLl0Kq+fv1KczkKPvRXW/fy44/TRMbsenmqz6B35Cn40Lb2eUqPOkwTGfMaeVSaTC+3U/ChnZ08Sww7QBMZC5vkLT/xMokVfGhP13wBg/fSRMayVl5lx14kMe/1cvv27YM/8Pnz5zSXgz4kQqAzzUwfevDgAbSNli1b0lwOt09PGlpY0u0wtSgZ4Q1zWEw6HUYScYqHFVUn5vbpWokp169ft7CwaNq0Kc3loA8JAX2I40PQjGDGwHtbKNeHIrs6u6+5nz5NAd7t7+pVYR6ZaHB9KKq7q/vy2+nTFODDoR75Ss8mYq4Pfevl5r74JueOv49H+uQtMYMMyLg+9L2vu/v8699oJiP0+EDPgKlErOq6bXBZ6G727NlDcxnoQyIEOtPM8aGXL1/a29t36tSJ5ly4fXpQgHWxF1EpNJNxcZJf/VH0EmdxiotbF1Uj5vbpWok5vHr1CiqrQ4cONEcfEgb6ULoPVahQQXkkyKAwH0qIuFrcPlv7qbtCIyIjv7yc26uGrVuzj/K73xTmQ4mRN0rZZ2s3eccnEH99Pb9PLVvXJu/lYoX5UNK3W2XsbdtM2kbEi/rVsXX5JUQuVpgPJUffLedg++uELR/DIyPD3iweUNc2Z4M3crGa+4fgl0K/s2HDBpqjD4kS6EwN7UNhYWF58uRp1KhRcnIy+ZEy3D497fXpWdkd3eccDk4BIp6NaF1cEjDgp7zViVP85sxstnjkrxyxQp+ulViZO3fugBtNkj2/H31ICOhD1IegDhs0aEBiXpS/H1KDCK9TUAb6HQcHh82bN5MUfUiEQGdqOB8KCgpq3LhxoUKFEhMT6VYVKPTplNQUaELJKZx5A2CKYv4+XSuxEn///Te4Ubdu3Z4+fUo3aQJ9yEwAa4E5DXiAEKDbbd68OQQwj4YWM2vWLLKdl7FjxzZp0oQmmhg3btwvv/xCE01MnDgRLJAmmoBBVr169WiiCXCsOnXq0ISP33//3draevLkyRBPnTq1Vq1aZLtGpk2bNn78ePqmIwZj586d0CyhSxVC7969BYq3bNkCrQ7afOfOnekmtcCeZ86cSRNNmKK4T58+hhDDx2dlZQVOv2/fPrpJLdoeBowkaEMxcXA+tAyGkBYWFu/fv6dbVWB+8yECzIecnJwgwPmQCIHuRu/zIRjik/uyQ0JC6CZNwJ6FD71NUWy4iciOHTu2b98Oli/kLnicD5kJ2vrQxo0by5QpI6T/5fOhpGPrR1atXrFi/boLDt+i22Tw+VDSiQ2jq4G4Xp15B2/SbTL4fCjp5KY/qtWoWLFu7cD9nFXx+Xwo+Z9NY6vLxLP3XaPbZAjxobi4uIIFCy5atCg+Ph59SGxAZ6pfH/r333+hT7x9+zZMiZTEsbtXD2kB9O/7z7MIuk0GX59u2uJTweF0mwy+Pl3P4kaNGhUvXpxsVAX6kJmglQ+BtTRt2jRnzpxhYfSKTDUo+NDNebXt6k+MTaRX1iX9/NysoPXgw3S5awUfur2gnm3tMSzx15Z+1v32fyKpgg/dW9zQpsYoRpwcE/arv3XvvR9IquBDD5c1tqk2LIYRx0a0L2rdYxe95FSIDwE7d+7MlSvXp0+f0IfEBnSmevSh8ePHu7i4kG+DFMQbu+cv1GdLtPy+svCHh5yz5zwov1tfoU8HsV/vzWyxi1MOkYs39/TiiB8dZosV+nQDiZctW2Ztba2mt0EfMhO08iHoeWFsWK9ePZqrhetD0uu21z7gXLf9/mBXr/Iqr9tecYdz3fbHIz3ylVJx3XYu9yW3ONdtfzraJ29x3uu2o/u6uS/gXuT9+cQgz2IarttWBt6Ha9eujR07luaaQB/KHKAz1ZcPVaxYsWHDhjRRFAcF2BR7yb1S+cIE3/qj/yExt0+Xip8rX9YsbnFxm6JqxNw+3XDitKdPn0Kt7d+/n+Zc0IfMBK18KDQ0FNrErl27aK4WhfnQ+1N/WHrUvfCUzsFfXNnt7eC8JYjeda0wH/pwepyle83zQXQc9PLqPh/HnBsfx5JUYT4UenaiZa7q557QG2lfXd/v65hj3UO6WIPCfOjLhSlWrlXOPabzsNc3DhV2clr9gC7WINyH2rZt26xZM+FfU6EP6RdohwSay4HOVHcfSk5OLlCggMJ1JQrig2PLujee8iqKpk+OL7bI4X2ZTsIV+nSp2O2XSWyxZXYvkYsPjy/HEZ9YwhYr9OmGExOcnJx4uyn0IZNkyZIl0NWyn/KbAR8SeFUl3/dDaR+eXti0ecOG7dvuhnBuJuW9TuHj0wubpeKtd7hi3usUPgVf3PzXhg3btt5+K2/gMnivUwh9domIb76JpJtkCPch2Cd0VcrHrAr0IQNRtGhRGsmAzlRHH0pJSXF2dlZ+OjCv+MrJ1dASpqxY/uiL/DSTDIU+nWDS4odcMW+fbjgxFCb0PHCENJeDPmR6MINHCOBzJTH40Jo1a0iskbCwMOURqCo+ffq0cOFCmmgCrGXu3Lk00URERITyE11V8e3bt2nTptFEEz9+/CA302kE2rSVlZXwPzA+Ph59SO8wzZhh8+bNb968oYkm9uzZoyz29PTkHV7wilUB4levXtFEE6Yo3r9/f+aLPTw8FNZz0XbPDx48oImJYw4+BB8nc24NfEj4U4JgbgE74V30UxmYPC1atIgmmvj69avyCFQVkZGRvM8T4+X79+/CH7gQExMzefJkmqhlxYoVOXLkWLBgAc01kZiYOHToUJogOjN16lQSBAYGkoAAPgRNmiaa2Llzp4K4ZMmSqj4mZbEaQCz8EQOmKAbTynwxTFWh/2GfztF2zzgfMj6MD7HnNFBa2p6XE3jeg/e8XPTn59euX7166+a7KPrNEIH3vBwV37yhIOY9L/f9ywsiDonkPOiP97wciK/LxG8jOGLh5+VGjx5dokQJ4XaI5+Uyh790OC8H3gZDNJoowbvn6MgPMB5/9f5dDHeJH95zXOYk5j3HZTgxw7Vr16ALgo6IpFqdatNKLHJM2Id4yYAPLV68mOZqUfChsFuL7bMX33rpNUmv753rYut18j1tgwo+FH5nmYNj0S0XXpL05r4Frrb5j4XQxVQUfCjy3koHh8J/nadj1dsHFrnZ5j3ylooVfOjbg9WO9oU2naOLZ985tCS3rcehN3SGJ9yHqlatOnDgQGZUrhH0ocwBOtOM+dCJEyfs7OyUT/QxKOz5wY5+9p4Vdt0mt+BErhzRRJK/Zaj8SSYKfTqI7TzKc8T5Wohc/HBnf7Z41aimbLFCn244sTITJ04sVKgQidGHzAStfAjcwsbGpnz58jRXi8J1211yuq97mP4MIeDDoW5e5eYSB+D6UNTvLu4r73Iu8v50tGe+krOImOtD33rmcl/KXZw79FjfvAHTyUyH60PRfdzcF3Kv2/5ycpBn0SlELNCHkpKSwI+DgoLGjBlDN2kCfShzgM40Az4UGRlpb29/5swZsp0X7p6DilkHvP7Gufj40iTf+iP5164G8Uuu+PIUP5GLA6yLqRFz+3TDifmpU6dOt27dIEAfMhO08qGQkJAhQ4ZYWloK+cJWYT50bmwpl7ZLaSIloVtx2/9teUsShfnQxfFlcrZmn9NL6lHStt1G+oWkwnzo38nlnZqzvyRI7l0m22/r6PRIYT50bVolp6bsaxxSBlSwa7WanmIW6EMwDSpevHhERATexyo2oDPNgA8NHjy4Ro0aZKMquHtOmVhJ0mwD68LRhDflnSTzr9DBE7dPl4qbrH9CMyDhTQXRiydXseCIE9+yxdw+3XBifu7cuQPjhpcvX6IPmQla+RDYz7p162AkIuRWVuXvh1KSw9ZO+c0tt7NzgfyDVx6JYQ2JlL8fSk2OWD+1jTuIvfMPWn6YLVb+fig1JWLD9HbueZydvfINWHbwJ0us/P1QakrkpukdcntIxX2X7GeLhfgQ2E+OHDkOHz4cGxuLPiQ2oDPVyoeePHkCrdra2lrjlVTKe/729Wqvll4wM5bkzj124z/xrIbE7dOlRIeZtnjMhlNssXKfbjgxLy1atOjUqZNWlx6gD4mX58+fb9q0iSaagD597dq1MTEx0BEfP855uKoy0KcvX76cJpr4/v27wK+dgLi4OOUrIFSRmJgo/GqClJQUjRfXQetv1KgRiQVe5E3A6+UyAW2vl3v16lXnzp2VnwqqDIi12rPw67hMUbx7927jiqHHsLKyggKET5Bu0gTsGX1IpIAPbdmyhSaaiI6O3rhxIwRXr16FeTHZqAqYAQifacXHxyvcGaCG5ORk4VeEA8LvTALU35l09OhRZ2dnmsjuZqWRAIYMGUIjxGBoe//Q69evYVAO03G6STUgxvuHGIxy/5ACMBx0cHBgrp3TCN4/JF60PS/HuAVMMqBHhrkRSZXhvW5bFcrn5dTAe922KpTPy6lB/Xm5R48eQZ8FfxdJ8bkPIuQvbc7LwQwApr/sgYUatNqz8jkuNZiiWKtzXAYSw5gY6lH4JBXPy4mXDPsQMG3aNPIkHl4UfCg5NrhmDkm1nvNv3n/w4Pb5wb/4Ovj2YC5cU/ChlPjndXJaVO0+Vya+OKSJn4NPN2ZtHwUfSk14US+nZeXf59yQii8Nb+Zv792ZWa5H0YcSXzd0sazYddb1ew8e3Lk8snkRu/wdmXXn1fgQTAGh0bPvoUMfEiHQmQp3i4MHD7q6uvbv35/malHY8883Z/ysJXX7LToCbFlc0l1StOsO+jOlPh3EhWw44iJdttOfiVb8liMulZsjVujTDSdWA7ls9eVLeneHRtCHxIsuPgSsXLnSxsaG95l4XB/69rur2593ORdMv93V2avyAr7rtqN7urktvcFZU+7d3t/zlQvku277e5/cbguvcW77eL+/V97Ss/jW2/7RP4/b3CucNeU+Hu7vWWK6+vW24c+0sLD4+pUupUpAHxIh0JkK9yHoBqEjO3bsGM3Vwt3z89JWvk+iOHdgHh/o02jCWRJz+3Sp+BFXfGJwQZGLy1gVVCPm9umGE2ugevXqws+joA+JFx19CIDxCBTz9u3pIxqCwnxoVWOXBnMu0kTGyha+5ceeJ7HCfGhNM9c60zk3c6z+1a/0yNMkVpgPrW/pXmMyvfmAsK5d4RLDTpJYYT60+dfc1cZzrrDY9L9iAYPoFl4fatasWYECBWjCAn1IhEBnqq0P3b17l+Zq4e75Z3tnq4WP2KOf2MFeOfvuoF+wc/t0qXj+Q/boJ3aIt9jFHVzUibl9uuHEGujRo8fvv/9OE02gD4mCOnXqwKuzszPUHtkC6O5DhKpVq/r5+cXFpS+To/z90H83VlQsaA2/Hchd9pejQeSGainK3w+9uP1nJV8bInYv88vhJ+nPwlL+fujl3dWV/WyJ2K10wwOP0icuyt8Pvb6/rkqhbETsWrL+vgf0GRCAgg89e/YMNDAZojkX9CERAp2ptj4UEZHeDtWgtOfU3YvauNnJmpFE4l2h+dV3dAkPgNunA6l7F3PEV0KS6E9MROxVvhlbrNSnG06sjsmTJwu8rR5AHxIX8NnTSH8+BMBnDHtmlitV9iE1iPA6hUqVKnl7e8fG0oceKYM+ZESYNsxuzAB0ptr6EE00odWelfp0dZiiWKs+3XDidevW5cqViyaaQB8yGlBmBJor8erVq9GjR18TxoEDB0aMGEETPu7cubNmzRr4dYMGDTp27Bi80h9o4ujRo/3796eJJo4fP96nTx+aaOLkyZM9e/akiSZOnz49cODAwoULW1hYQJO9fv06/QEfZ8+e7dy5M000ce7cOXif6ZuO6AY0sM2bNzMxCQg7d+6cNWsWdKlCgJEB/HOaaKJ3797C9wzimTNn0kQTpiiGAhSDuFevXk5OTjTRBOw5KCiINhQTx8R8iA2UHAPdpNf5EJu1a9fCbxHe84phPgRTn7Jly+bMmRP+TLpJLTgfMhbjZJCY3ZgB6G60nQ99+8a5IkYVWu0ZxMKH3qYoFsl8aPr06aVLl6aJJnA+JF4M5EPAp0+fOnXqlCdPHj8/P43XVhrXh/bt2wf9UaNGjSIjIxWeBq0G9CEjAk1xyZIlCiYEQGeqrQ89f04XX1eP4p6TIwfVzeHg6uEN5PewtXeed0L+aGvlPj05cki9nGzx3OPpl5iahtguJ1us2KcbTqwWmMP9+uuvNNEE+pB4MZwPsb8fWrFiBRR8s2bNXqowJKP40NGjR3Pnzg21cPv2bbJFzf1DyqAPiRDoTLX1ofPn6UWb6uHu+Ws9G+e/P7G/O0xaWi1vu2U3ScLt06XiIx854mU1xC6ub5NTjZjbpxtOrIFffvll7NixNNEE+pB4yRwfYoCuP0eOHJ6enkuXstfezjwfCgsL69WrF5n9KJ8sRh8ydaAzFe5Dhw8ftrCwEPgEXu6eP1S1zHM5nD62SkbqX829Wgb+SxJuny4VX+SKt7T0Frm4mmVuNWJun244sQagkNm3lqsHfUi8ZLIPMUAnvmvXLgcHB7Clxo0b79u3b+HChfRnmtDKhyIiIqpWrVqiRAlLS8sKFSqob7XoQ6YOdKbCfWj37t19+vQpUqQIzdWisOeU2JCWRSW5CldrATSsbmch6bv2Ef2ZYp8uFbfmivusFrs4lSu2l3DECn264cRqOHXqFPgQ9GA01wT6kHgxlg8p8OHDh3r16hUtWhRsydra2t3dffjw4dDOYCcwoYmJiUlJSV8aPjo6mr2EdlJSElgCmNPTp0+hqbVq1Qr2YGdn5+rq2qRJk3/++UfjEtoM6EOmDnSmwn0IxPfu3YO+7McP+vAbNWi7Z+FdnimKterTDSTu0KED+pCZAB19wYIFYcYghHLlyvn4+NBEEyAuUKAATTRRvnx5b29vElerVq169ep169Zt0KBBIz7q1KlTqFAhmnCpX79+7dq1YQ8A2VvFihXz589PYo2AOF++fDTRRKVKlfLmzUsTTVSuXFn4Q8SRDHPw4EFodYWF4eHhAWJHR0cnJye6STVETBNNoJiNIcR+fn5gQjlz5tRqzwKvSRE/OB8yyHxIhPexagTnQyIEBvVazVqCgoLOnj2bPXv2T58+0a0q0HbPwofepig2+nxo1qxZYC379+830GGIHPQh9CEK+pAIgc5UK7cgYpiOa/x0lPd89eDEIrlhUC6lUrsRL1m3ISn36dcPTmKLX5icuO1wtli5TzecWJlv377BP7xx44ZW1oI+JF7Qh9igD5k60JlmwIegrUK/Bk2FbOeFu+f4Hp6SMf+mr3kIzaFDrmzDD9NnU3H7dKl49GX2Yu3fO7qJXdwrn4L4B1vM7dMNJ+Zn6NChZcuWhQB9yExAH2KDPmTqQGeaAR8CRo8eXbx48cTE9LVKFeDuObi4dZHnUenXzgBnRxdsMIYuCc/t06XiZ1zxuTG+IheXsC6sRszt0w0n5uHKlSswaCCfFPqQqRIaGsr+whx9iA36kAnBe90HdKYZ8yGgevXqPXr0oIkSCuKv97bktpH0WnTiFXDnZIsyLs716Aq/ALdP5xPXDaQ/E6s47P5WtrhlWY5YoU83nFiBDx8+ODg4nDxJn+qCPmSSwDjiwoUL6EOqQB8yCYoWLUojWZOmkQzoTDPsQ5GRkTly5NiyZQvNuWi7Z+FdnimKDWcA6sW+vr7Tpk2jCfqQ6aLgQ2AtBQoUqCuMypUre3t700QTVapUyZ8/P000UbVq1bx589JEE9WqVfP09KSJJmCQ6+HhQRNN1KhRI0+ePDTRRM2aNd3d3WmiiVq1agk3LUQgCiYE7N27t1OnToOEUb9+fQVxy5YtYZ9jx46lOQtlsRpA3LFjR5powhTFDRo0yGTx0KFDS5QoYWdnR3MZ2u45ODiYNhQTx9x8CEHMCRjUZ3g+RIAtYEU3btyguRxt9yx86G2K4syfD8G4FkYJNJGD8yEEQUQHdKY6+hDw5s0bsKIrV67QXAaf+H3g6AY+QK2a6y88o9tk8PXppi1ed54zk+Dr0w0nlj6bv169ejRhgT5khiif5dAFZ2dnEhw6dIiJdQcm5jSSP+lcXxjogAndu3fX79uL8AKdqe4+BLx7987S0vLYsWM0VxSnLmjqWGnGBZpB/uV2QSfr9ffp5XbcPl0qrjg9fVVvEPuKXryouRNH/JUj5vbphhOnpaSk+Pv7d+rUieZc0IfMBw8PDxIYqKPU727ZezOJAw4NDSWBgY4WYQOdqV58CIiLi/P29v79999JyhUHFbMp9op78fHFib71R50iMbdPl4pfcMWXJvuJXBxgU1SNmNunG0r89etXqBrYQlJltLIWrcQix9y6kjdv3lyQAx85vNIf6ImoqCga6Ql2b26Inl3vB0zeW8AQby+iAHSm+vIhQr9+/Tw9PWNjYxXEFxc3dSzZ6WpIkixLOrFqsMS1fFCELFPs04m4A0fsUk7k4ktLm7HFJ/8cwhYr9OmGEB8/fhxK5tWrV2Q7L+hDZoh+e0lZ30u5fv063aon9HtGjkCPVYbeDxiA3dIIMRjQmerXhwD44KBDbNOmzbNnnC9UgNdBl44A5899iqFbCAp9OsGcxLx9ur7E8D7Xrl27aNGi8fHxdKsK0IcQBBEd0Jneu3cvQRgbNmwQLq5fv76Pj09ycjLN1QJ7vnPnDk00YYriTZs2GUKcmJgIbgGuf/To0aSkJLpVNdoeBvoQgiAGB3zo6dOnNNEEdHnCxTt27Dh48KCtre3atWvpJtXAnp88eUITTZiiePv27XoXg8cXK1bM0dFR/bk4NtoeBvoQgiAGB3xI7+flCIx40qRJMGBXuKpbARDznIl6evlv4OKFUCEnxEQmFnSqTRuxAs2bN8+RI8enT5+EiBkMJxY56EMIIl6gMzW0DxH69u0LbqRqOqXQp19c0syhRPsrb8mlyUnHVwySuJR/qupqAnGILy9tzhafWMkRK/TpWokVGDRoELyTjx7RR4OjDwkBfQhBxAt0ppnjQ4SmTZs6OTkFBQXRXA63T8frtvkNYMiQIeBAly9fprkM9CEhoA8hiHiBzjQzfYgwduxYCwuLbdu20VyxT09d0IRz02va19t+Ttbr7pHZg0jFi5o5ccV32GJun66VOC02NrZChQoODg683wOhDwkBfQhBxAKMpmkkBzrTzPchwtmzZ7Nly9ahQ4f4+HjwJMUuL/XdnJH1vYGa1RVWsuEagAzxidee45yB5OnTBYjhFd6iOnXqJCQkkB8pgz4kBPQhBDE+ZHknZR/avHlzSEgITTSxb98+Q4i7du0KByb8CSmw5zdv3tBEEyIRHzhwQLh4z549Pj4+Hh4eR48epZtUo9WetRU/ePCAJiYO+hCCGAHobqBzB6ZOnUoCBqqQAT708eNHmmgCOiYDiaHD3blzZ5kyZWB6cPPmTbpVBbDnd+/oU7E1IhLxoUOHhIjHjh0LH1CtWrU+f/5MN2lC4J4J2orRhxAE0TMKJgRoPHvGxqBi5hTQnTt3SpYsaWFhMWrUKLJFAZ4TYqoRiVjNOa579+6VL18ePpoZM2Z8//4dtojkVBuel0MQJDOAzlRsPsQQHR1N5gfFihVjP99IKwMQiVihT4+Pj4d5qqOjo5ubm/Kjm9CH9A76EIKIF+hMRetDbMLCwjp27AgdN9CqVavbt2/TH2hCK7cwnHjPnj1Hjx5t3bo12Gr+/Pl3796dmppKf6YE+pDeQR9CEPGirVsYy4fYQIfevXv3kiVLQp/u5eW1fPly5QVVGbTasx7FsbGxFy9eJI/RcnBwKFq0qJCLDgjoQ3oHfQhBxIu2biEGH1IWX7t2bfjw4W5ubtDpFyhQoEePHuvWrQsOll5mDRMR5dtmVaHVYWzZsuW///6DACzn/PnzM2fOrFevHhwAUKdOnVWrVsEcjigBU7QW9CEEQTIDg1pLpvmQMuAN9+7d27RpU82aNS0tLYk9uLq6lipVqnHjxoMHD4YfHT58+Ny5czdu3Hj9+vW7d+8SEhJgz2/evElMTPz58ydshOMHhzt27NjBgwcDAwP/97//Va9evWDBgjY2NmSHEI8YMeLUqVMaL4ZGHzIu6EMIIl62bdt24MAB6G6EAEN+w4n37dtHE01kTPzkyZOnT58+e/bshWrmz58PrkMTPp4/fw7TLJhgPXr0SKvDmD17timKhY8kRA76EIKIF4NOcYw4H2IQiRjnQ8YFfQhBxAt0puhDDIYTow8ZF/QhBBEv0JmiDzEYTow+ZFzQhxBEvEBnij7EYDgx+pBxQR9CEOMzVQZNWEBnij7EYDgx+pBxQR9CECOzZMkSiWxlOXI/P9lIgM4UfYjBcGL0IeOCPoQgRiYwMLBx48YkVvChmzdv1qlTp6Yw6tevj2IGrcT16tUzRfGnT59IOzF10IcQRBSAA8F8iCYIkpVAH0IQE+DQoUMKUyV9AQNwGukPONTNmzfTRH/AboU/Jk5bDHTMAHnIoYGoUqVKaGgoTUwW9CEEETUGsh+ATL/060MnT56kkV6PHA71/v37JNb7G2KgYyasXr3aEJ/g9evXmXO5ZoChmjiCILoDXVhcXBwE8Krf7oyxH0PMhwD9TgLYf7shunWCfo+ZsTdDHDCzT8O9G5mJOfwNCGKudO/eHQbUJDZQj2MgH9IvwcHBzHXtJtfzGtSHAgMDo6KiSGy6oA8hCIIgxgR9CEEQBDEm6EMIgiCIMUEfQhAEQYwJ+hCCIAhiTNCHEARBEGOCPoQgCIIYE/QhBEEQxJigDyEIgiDGBH0IQRAEMSboQwiCIIgxQR9CEARBjAn6EIIgCGJM0IcQBEEQY4I+hCAIghgT9CEEQRDEmKAPIQiCIMYEfQhBEAQxJuhDCIIgiDFBH0IQBEGMCfoQgiAIYkzQhxAEQRBjgj6EIAiCGBP0IQRBEMSYoA8hCIIgxgR9CEEQBDEm6EMIgiCIMUEfQhAEQYwJ+hCCIAhiTNCHEARBEGOCPoQgCIIYE/QhBEEQxJigDyEIgiDGBH0IQRAEMSboQwiCIIgxQR9CEARBjAn6EIIgCGJM0IcQBEEQY4I+hCAIghgT9CEEQRDEmKAPIQiCIMYEfQhBEAQxJuhDCIIgiDFBH0IQBEGMCfoQgiAIYkzQhxAEQRBjgj6EIAiCGBP0IQRBEMSYoA8hCIIgxgR9CEEQBDEm6EMIgiCIMUEfQhAEQYwJ+hCCIAhiTNCHEARBEGOCPoQgCIIYE/QhBEEQxJigDyEIgiDGBH0IQRAEMSYi8qH4kLurRw3vJ2XOieDPaWk/bj8JoT/TP0nbJ/YbPOKPSZMmjR0+SPZL+80OXHT4wh36c/3x9uqlCcOHTVi6I5FuQBCdCHt0YfmIoYMGDRoyYtXtLz/TYj/cef+d/kzvpIYtHTV41PhJ06ZNGztiMPzSQYMGL/lzw6WbL6hAD3x/eunqtpmznv+keTo/Q6aNGjFi1NS3P+gGxCwRhw+lfNsyppFboXJHL0YnSnm3cXgjO0tJx2VXqMAAJCcl3prbUSKRNF4VlCD9pfEf7ywsW9JFYl398K0IKtKNn++Cevrn9S7Za9eth2FJyXQrgmSY+C+zOxf3KNv89oOYeCD20dRWZa0lFpPPh1KB/klNjP/5V9fyUClDTkVKf2l89K3Dg3087J19fr//IZ6qMkpSROjwPwZ0qeIM+//nC91IiH25P8DFf33w9+/BBwu7lrsSjQM5s0UMPvRjQRN/25KtwmhKubisVZ2he2liIN7+ZSuRjDwZS1MgMWxMbYnEOvf6+7o2+siH+wpZSv5YeiWFbkAQHfk8MCBnniaT4mhKWfV7qZ5/vaSJYfj8zxjwiU3/0VTK1/9aFJRInAOu6MMBQ07PyCaRnOb6UP/ittXmPCDxw8AaTmWGkhgxP4zvQ8+PTrSWSCb9/YnmDPFfp687SGMD8XGXnUQy7DjndEBK7M1iTpIc/m0idJnAxLypmVNSY81DmiKIzpyZ+5vEynlvkNIpuM9XRmwNorFhCD0/BXxofTBNCV+ur7a3khTrtIjmOhB8ZIKCD8XeniWROOxjBqfhe7NJcu5SGKsi5oLxfWhGA7Ahi1PcoZCM1O8/6Mjv07/rW/n5+/sX8i81+Hp4AtmY8u1K55qF/JsNefHvnkXX6Mbkt9fGNqvsX8ivcuv+j7/KpiLJUcOa+jSazGdpfD4Ec6JZLYpJrPIff8M5J/31+Hg4Al6mno6kIjl/Dy0rKfbbt8TE2NjYuHg8n4DoTnLHACvrXL7Byl+ipCVFRtPzY8E7J9fxL1y4sH/punOYL1dT3+5uWMq/bO8FEf/+ueEx3Rj98MiAqiX9/f2aD1kUSurs+8uWpbwH7r4vSzjw+lBa6qdW+ZwkLnVDuFP+G8vawBHwcog9o2Kh7EOXJheWSIpcSN/zi8oWkrYbDfeFMWJMjO5DH5s7gQ01fUtTHsJvT5dIclyUtchVLdwk+YZJKzHua4Nidd5Ke/jUWR3zjzgm9YxPN5Y3qD3ujVSYMOU3L4lb/a9QnqmxRzcGbvhHXn9s+H0odW/32vAbl9xTmqIJIyXyia+LZYGqbXetXTl2wsBieSWVfxv0Gr8eQnQh+XZZa4lLgUFRNOfh0e7OEknAe1ncvaiVQ701SeBRX68WK/g/mU197VTKZs1TafRo58AGbdbJ2v37Vr4Sl5rjpWFc2Lq5U/beJTvgwO9DabFT/HNLJIVO69y2lX1o/a95JfZ13jI+lPq6trUk/x+naYqYF0b3oac1oYFb/O8rTXlIvbGoWqXe0ig+6uD0FlBpD1LTksKv5rew3fgwLBW2h55efE1aaIuaFxux69yD+8CDW+v7wo6HH5W5kipU+NBumQ8tu8c5850YFSLdMR/vv0G9pxP5dA9U59BD8nqOfl4pj0WxXwNxWoRknOQzMEFw853I+jJTkU87+9dsMReC5B9h8/9XJrvHb9CCP19f4WhV5MyHaKni6fr10vFYQif/YusePHks5cnJKdISXPeSO6nhosqHJhVyl0j8z3J96OeXl7I98xCl8NWWHGUf2vhbPoldrVfpPvSmjrXEe+xZmiLmhdF9KKyNC7Twus9pqpKFAwfWbD5jZrs6EkkJ8KG05Lgp1fNLJNkr1Gu89SYZI76rY2vVfcHq7YTd+48fPxH8VU3ZqvKhpJXtK0gkeXY841w1F/v2Ot2zEjffca4aigja5SaRLL+dXti7OhSXeDWI5KgQRBtSHla0lTh79wynuSriRrb5vUXnuQNqBGTP2wZ8KOXnuzZOUGKeDdp2OkNGZclXClrmGPcXZevOfUeOHA+JkY7oVKHChyJ6F3CR2FR4yLWw0Pt/010r8VLFbE7Zh/4e7CWxqfOG2XPKzeIWkjpL8QtX88T43w8dmlQVmvjWIJ6RUuhHacP89mJ7yez2U7ZLi+Dupm5kPkS4OHNgzZLgRpJmM2CYF1rfSjLw74/0Z0BydMg3BY/hwutDye9r5Le09W76RcXYTSPJn257OUjmXE3/9/cXV5Z4NEQfQnRhRusCltk9boRzJt+E92+kc/cPVwKd7dw2XJKOn7YNrpbdUzofkhG3e1CHkl45JRKbMfthmn7dVyL58xX9mZSET29/aO1DCa9OuNpL8recRnMdUPahr0f7SSTuJ5gaij/tLrFe8IhmiJlhfB9K+XjFy0lSpMNMhfMC8Z8/Ltt5Ef4/vaize7NxZOO9Tb9LfQjmLOFhx2/ekm5K/LG2X1VbxyZhaWlTa0uyufT4JD9L8P7SoZ2PNJ+XG34ihqYyDo7IJ5FYzLnA2agdKTFTynrWGnqEpuC1/Yv5tJiH5+UQXUi4swHMoMG04zSXE3Hv1orzr9PSwjtbS0qNPkw2bh9cnfhQxL275z5LrzNL/PFxcNX8XtXHJ6Sl/FZQ4l1qHtPE76xYfPInj70xfL4g9aENz2hKmNkE5llWh1/TS4R0gfjQGfbZ+ZQfjXJLOm1/R7IPOzpLcjdRe3IDMWGM70NA5M3jNR0kPs373f9Kpya3r/29fcOxz9KeO2n9Lzmy+bWUNtFvN8e2qiiRlH30PezZi//KFi687510vHRuYjW/X7dDGUU+3gUDPYl7hfETJ4wb0792qx6RP2GUF7Zm0qRVx9nDP8r3/SNA3v2gvHlHXfqja1mJJNeoffSuhQyT8va0j3W2pdekXxF9ubYjj1PpE29wNoToyouDywtJJDWHBL5LoMO2c/8c2L77oswKfo70kXjUmAQtPvbNiY7lfXJ6d37/5fnTq7s8Sja6LptYrGvp3nDyDQieHpxsL5HkKNdq2rRpk8Z1azhgdhr8s4RXC6ZN23+fZ+mCW9MbQ6Uskp8V+/nqUK9anhKrYiuu6eeO77eHR1lLJIe4V8MFHxgjyddUakTfHzVwzbHkCutUB2JeiMKHZMQfXzuhVNnyRYDWrY88+sg6TfDx98YVChcpufHYlagnByoUKTJw7aW4HzGP397Z/nv9gCJFGsxZkz6XCr3brGLlQn6FqrZZI7+Y+nVb/8KtZl+nGSVhcoMihQsXht8m/Y/QvNmIP88nK8zLMkpq5P3OHYvBXssN/uNTRk/xIYgiKRHrZ/QvXDQAWm/JLj0vf4hiKiXu29065QqXCKh64uHTFwen+fkVWXTyRfirV8Ff7s5vVB707TccY8RRd4+WL1zE27tws0GH6BDp579lvb0H7+VeM5TyrnNZfz9fKX6F/AvLLgov0r7T9B239VMpyd/6/yq90YLsv+aQfXS7jIg7CysG+JesUvfwI7Un2BETRzw+hCAIgmRF0IcQBEEQY4I+hCAIghgT9CEEQRDEmKAPIQiCIMYEfQhBEAQxJuhDCIIgiDFBH0IQBEGMCfoQgiAIYkzQhxAEQRBjgj6EIAiCGBP0IQRBEMSYoA8hCIIgxsTkfUgiQStFEAQxYUy7EwcTQh9CzIY3b95s3ryZJgiSZTDhTpxULPoQYgbExcUVLVqUJgiSxTDhThxKF17RhxAzAJsxkpUx1dbv4eFBAixgxNQhbTgwMJCkCJLVMNVOHEqXDd2alrZw4cLughkxYgSNBCAS8fDhw2kkAIOK6TuO6AzTgCEIDQ0lMWHq1KmDBDN58mQaCQDFbExRvGzZMtpKTB+Tn0ywTQgoUqQIjQRQrFgxGgkgICCARgIoUaIEjQRQqlQpGgmgTJkyNBJA+fLlaSSASpUq0UgAVapUoRGiM0wbjouLU2jPvr6+8YJBMRuzF/v5+dFWYvqYmw9pZS3FixenkQBEYi3lypWjkQAqVqxIIwFoZS3VqlWjEaIz7Das0BgKFy5MIwGgmA2KTQiT9yEF0IfYoA+ZBKGhoeTLIeZbTwaz7x9RzMZwYpGDPiQU9CE26EOZg9n3jyhmYzixyEEfEgr6EBv0oczB7PtHFLMxnFjkoA8JBX2IDfpQ5mD2/SOK2RhOLHLQh4SCPsQGfShzMPv+EcVsDCcWOehDQkEfYoM+lDmYff+IYjaGE4sc9CGhoA+xQR/KHMy+f0QxG8OJRQ76kFDQh9igD2UOZt8/opiN4cQiB31IKOhDbNCHMgez7x9RzMZwYpGDPiQU9CE26EOZg9n3jyhmYzixyEEfEgr6EBv0oczB7PtHrcRaVbfZvxtaiUWOGfpQpGCKFi1KIwFotWdwOBrJiIqKio6O/v79+w8+wLRoxAX03759o7uQU7p0aRoJoGzZsjQSQIUKFWgkAK0WRUUyjL+/P13VUgAmJ05ISABxUlJSMoufP39euXJlx44dCxcunDhx4vDhw9u3b9+gQYPKlSvb2NjAcLB69ept2rTp2bPnqFGj5s6du3LlykOHDr19+5b+ezmw58TERPqbNCGGdwPQSow+JF4CAgImCcbd3Z1GAtBKnDt3bnidMmXKnDlzFi1a1LdvX7Axa2triTY4OzvDtGPcuHELFiyYOXMm2bOHhwcJhJA3b14aCSBfvnw0EkD+/PnpO44YEhcXlwGCgQZDIwEYUTxw4MCRI0eCx/Tp08fKysrS0pK2eBZQblAyMNypU6dO27Ztu3fvPnbs2Fy5ck2ePLlfv37gTM2aNatVqxbYUqFChXLkyEH/GQsot9q1a48ePRr+4dChQ+nvVoGpvHVs4A+nrcT0wfNyQtHqvBxMRMLDw8+ePQujNmhbUBV58uQpUqQIFBVU4JYtWy5evPjgwYNPnz6BuHz58jB8e/PmDWz5+++/V61a1bt374oVK/r6+pJ/C/O2WbNmPXz4EAZBMGshv0IIWp2Xq1q1Ko0EAGNSGiGGRKvnmJiEODo6Ojg4eMaMGSADEwJgTAPDxy5duixbtuzy5cuxsbEpKSmpqan0H7BQtWcQQwWFhITs3bsXxm2//PIL1A7s2dHREUyuRYsWsD00NBSmX/QfKGGsd0MBrcQ4HxIvYvCh3bt3u7q6Ojk5gYU0atRo06ZNjx49+vbtG/2xEqq+H4JqhOK5fv06zKtgwg578/b2htIKCgqiCk3g90Omjki+XdBd/OTJk+HDh1euXNnBwQFaMozlx48ff+nSJa0eoqPVYcCeoVJgzNeuXTv4jYCXl1eTJk3Wr18PlUVFcsT81qlCK7HIQR8SikYfevr06bBhw6C5u7m5QbGdOnWK/kATAq9TSEpKWrFihbu7O/wKeIVp0/fv3+nPVIA+ZOqYev8II7AFCxbAsAwabdmyZQcOHKhQF5l2zG/fvl2+fHmzZs1IBbVs2fLYsWMRERHkp5l2GOoxnFjkoA8JRY0PffjwoWHDhtmyZYNZy7lz52JiYgx3vVyFChWioqIWL15sb28PU66JEyfGxcXRnymBPmTqmGj/CBOOOXPmFChQwMbGBlrp/PnzoUaUZyFA5h8zjN6uX78OhgRu5Ozs3LhxYxhBZv5h8GI4schBHxIKrw9BdbVt2xYaNMz3wYHo1sy6bnvTpk1eXl7w22fMmEE3cUEfMnVMrsuDLt7W1hbapIeHx9ixY2/dukV/oAIjHnNsbOz27dubN28OR+vg4ABju/j4ePoztRjxmNloJRY56ENCUfChHz9+zJw5E1pw+fLlX716RbfKycz7h7Zu3Zo7d25HR8fTp0/TTXLQh0wdU+nykpOTb968CS0ZJkDZs2e/e/cu74UGyojhD4SJmr29fd68eaGcx40b9+XLF/oDFYjhmAGtxCIHfUgobB+6dOlS/vz5oeSOHz9ON3HJ5PtYo6OjJ0+eDFVUs2ZNMEi6FX3I9DGJLg9GQtCGofm1bdv28ePHRYsWpT8QgEj+QOg3EhMT4Q9xcXGxtLTs3Lnzx48f6c+UEMkxayUWOehDQmF8aOLEiVBygwYNIikvmexDhJCQkEqVKsGxHTlyhGxBHzJ1RN7lnT9/Pk+ePLa2tl27dg0NDSUbRX7MvLDFO3bsKFu2LNTRwIEDmT+KjSn+gSLHVH0I2kedOnWg64TmQjfJMJwPlSxZMj4+3s/Pz9raGuZDdKsKjOJDQHJy8pQpUywsLPr27ZuSkqLVqgfoQ0ZHoTEDou3ywsLCqlevDgcMDgQx3SpDtMesBgUx1BHUOMyNnJycli5dSrfKMcU/UOSYqg8tWbKEBD4+Prt27SIxYDgfqlChgqura/369cPDw+km1RjLhwiXL1/OkSNH06ZNtWqp6EPGRXlQBYiwy0tISBg7diwcao0aNa5fv063shDhMWtElXjBggXwlxYtWvTEiRN0k2n+gSLHVH2IoX///jSSYSAfOnToEEyDYJ5Oc00Y14eAyMjIggULQgl9/vyZbtIE+pARcXZ2hlfx+xApBDc3twMHDpAtyojtmIWgRhwbG9umTRtLS8u6deuSSxhM8Q8UOSbvQwqlawgfWrVqFfwWCwsLmgvA6D4EQP3AHwgToxcvXtBNakEfMhbMHWCi9SGy3kyrVq3gCGfNmsW+FkYZkRyzfsX37t0rXbq0k5PT6dOnDbf6juHEIse0fWjcuHE0kqOVDwlxi/Xr10PtXb16VavvWoS7BaDVknFaHQaM4MaOHZstW7aQkBC6STU1atSgkQBq1apFI0RnYJJBAmUf0uraM60av1Zid3d3mF5DQ1VzFRmD4Q7D6OL58+fb2tp6eHiouXlcAcMdM/qQKOC9lAVmAH6CgSZFIz7gY86dOzd0Dc7OzjACUi9WQCsx+ASNBJABsaOjIxxP/vz5CxUqRLbzYmdnRyMBgJi+44huXLhwAdoYG/oDGfA+QzsUCHzKNBKAEDE0ewA+bnJg0ISgo6Q/U43eD4PB6OISJUqQ9fHAmKGajPtuwOdCW4npY6o+9ObNm6lyoFnQrVoOKNTPhx48eGBtbb1w4UKSGujsGWC4+RCzhHb16tVLly5NYlVoNR+qXbs2jRD9wW7JBMONpoWIU1JSWrZsCcN/rR4xYNxjZjCc2Nvbe8iQIfBhbd68Wfar1GG4wwAropHpY8LzIV60+iDVfD/07t07GIpOmDCB5mrXl1NGDN8PAcz9Q6mpqQULFqxbty5JecHvh4yOsg9p1dfoVxwcHAzHA+0NGo8RD4ONqMS7d++2sbHp0qVLUlIS2c6LSI5Z5KAP8ePr61uzZk322iQm7UMAcdbx48fTXAn0IRFirF7s5MmTlpaWPXr0IKmxDkMBsYkfP37s4OBQq1YtNQvTieSYRQ76EA8wxnFxcVF4qoKSD8Vum9sjG3mSpHPeP7aeoZtlKPlQ3I75veysZOKceUduPsVee0vJh+J3LeztQJ7dmsNjxKaTbLGSDyXsXtTX0UYmdso9fONx9prGCusp/P3336BS9UAK9CERYpRe7M8//4R2Mn36dJori+PDV4+nD/WxKFV36z3O+opZSvz58+dChQoVLFjww4cPdBMXxT2rxXBikYM+pMiJEyeg8d29e5fmcjg+lJq6p19pO59K+259CQ8Pf3Vqeb6cNp2Xpd/Tx/Wh1H0Dy2Xzrrjn5mcQv/5npZeLdcfFV+kPFX0o9cCQitm8yu++ESoVn/6zgKtN24X/0h8q+lDq4eFVbPOX3XntE4jfnl1TMJfNr/PS13pQXtdn8uTJVlZWkZGRNGeBPiRCMr8XI8/Q2r17N81lKIjn13dxLt38+K0XwPGFvSRWubfeT19SQcziYwYQx8TEQO04OzsHBwfTTSwUxOoxnFjkoA9xiIqKsre3HzNmDM1ZsH0o5s1xF4n3Lfalm5+3ZLMt/TaeTl3YPhT79lQuSf4bsTSV8nWnnU3JV3F06sL2obj359wl+a7F0FRK2B4H64AXMckkY/tQ/KeLuSWe//6kqZTw/Y5WRYN/ULGyD8XHx+fNm7dr1640Z4E+JEIyuRfr1KkTmJDyslVscfiZyRY5GrDXFHl/5HdJ4aHMlyRZSszQsWNHjW+dRgwnFjnoQxwGDhzo5uYGAxyas2D70Nuzk23rzaWJnE757fdF0NPEbB96f3GaTe3ZNJHTpYDd7q/Ux9g+9PHqbOua6edDCL8XzLbjM/Uxtg+F3pxrXXUKTeT09LPd8p5ak7IPAffv34eCuXHjBs3loA+JkMzsxTp06ODg4PD27Vuas2CLz45rWHA05yx0StTzwtbFmbmACYmf0izjYjb9+vWDynry5AnNZagS82I4schBH0rn6dOn0IyuXLlCcy5cH5pkU28eTeR08uL3oXcXp9rUnkMTOap86MPVWdY1FR9qp9qHAq2rTaWJHI0+BHTv3t3Ly0vBbtGHREim9WL9+/eHxg8lQHMubPHpPxr4TrhAExkpUa+KWQcE0cyUxIxjZFisALyNNjY27BN0asTKGE4sctCH0qlatWrTpk1pogTnvNzrYy6SAnfY18h82WZnU/pNPD3Vxj0vdzKXxItzEi9sl711iZf85+XOukvyX2efxAvf52AV8JzvvFzcxwu5JXmvst0k4qCTVdGnqs/LESIjI6HTYa8PC6APiZDM6cVGjx4N7QEmyjRXgi1+f2Rktlwd2NfwhP07RuLZg6mGLCVWpn379tbW1syzMdWLFTCcWOSgD1Hu3bsHpXj79m2aK8G9TiFlV7+S9r5VD94Nhz79zelVXi62HZekX3rAuU4hNWXPwDJ2PpX33w4D8dszq31y2bRnXXqgcJ3CviHl7QpU3HvrK4hDzq3xdbP5bX76SWeF6xQODq+UzbvC7ptfQPz+wno/d5tWgelDOVU+BEydOtXBwYF9YTr6kAjJhF5s0qRJak4DEDh7Tvo5qKSkeOsRzyJSgGeHA3M7Zp91+jX9qbjFwXoX8/HLL7/kypXr69evEGsUszGcWOSgD1FgMtSsWTOa8MHxISmxm2d0JddLS3J4DOdeXc3xISmxW2Z1s7WQiZ3yDF1/XO1123Fb53S3I2JH9yHr/mZfis31ISB++9we9uSKcIdcg9YcUXPdNpsfP364uLisWbOG5uhDosTQvdjatWuh4Rw9epRsVIXSnl8M/62irM1JJO7+4/dzPCzriXmoXbu2u7s7VFkRcSyKKnLQh6TcvHnT0tKSmUrzouRD6lDyIXUo+ZA6lHxIHWp8CJg4cWLBggUTEhJIij4kQgzXMQUEBDx79gy6WWaVVTXw7jklJRlIYQ+pZGRNsQLwD6F7+fXXX9GHhIA+JOX333/X2Aubnw+BA0E3xNwphT4kQgzXMcFoPV++fAIfqWW4wzBjcWRkpJOTEwz1aC4Awx2zyDE3H4JR3hzB5MmTB14DAwNdXFzq1atHNqqCiAXi4eFBIwF4enrSSAB58+alkQDy589PIxW4urpWr1597ty5EHt5eZGNQihQoAB9xxFDAm3jL8FAq6ORJvbu3Ss75SS9VoVuUovwPQMoZujRowe8yQsWLNi6dSvdpBatDkOrxWdFjhnOhz4JBqbM8Lp+/XoLC4uvX7+SjaooWrQojQQAdkgjAcC0jEYCKFmyJI0EADMtGqlg3759UCcPHz6EuHz58mSjELRaIxzJMD4+PvDpCAQGBzRSy+PHj5s0aeLs7ExzAQjcMwHFDEFBQVZW0i9vDx48SDepRavD8Pf3p63E9MHzcmmlS5fu27cv2aIG8zsvB8TExGTPnp0sX4/n5USIIU7U7NixA3pGrUbThjtflBXEvXv3zp8/P/NFrBoMdxgiJ6v7UEpKCgxYjh07Rjepxix9CGjYsGH79u0hQB8SIXrvmJ4/fw4NfteuXVo96dVw/WMWEefJk+fXX38lW9RguMMQOVnah8BaYHrr6Ogo5GnHyj4U8+lq315VoK+vP3LC8zjOVTXKPhQTer1fb6m43vAJwbEcsbIPxX65OaBPVRDXHTYuOIZ9JTaPD8V9vTWwbzUQ1xn6R9BPegcrQYgP7d6928HBAQL0IRGi946pUqVK1atXh0BZHPHsn779WwCD/9zFvpEaQDGbDIihn4E5qKql7hmU96wGrcQiJ0v7UMmSJVetWuXl5UVztSj4UOiJuVYSSe3Wffr169e1YWmJZd5DQT/oz5R86POp+dYSSa1WvUHcrVEZiSTP/sfp92sr+NCX04tsJZKaRPxLOYnEfc/DaPozJR/6em5pNomkRsteIP69cXmJxG3X/W/0Z8J8KDY2FiokKipKK2tBH8oc9NsxbdiwIVu2bLz3Vz5a21diYVe9obQzrV7YTeLXMiQ2fQCEYt3FgwYNgq6Gfee4Mgp7Vo9WYpGTpX0I3KJp06ZqHg3Hhu1DqRFPSrhaLPyX6fGTX27/3apoe2Y2wvah1MinpXNZzLsURfO0lNe7e1kVbvNdvn4v24dSvz0v52Y55wLzXIaUt3v6WhZq/S2R5mwfSo1+VcHdcua5CHnTTgnZN9DSt0WE/ES0EB9KSUnx9/cHP1b/tFYF0IcyBz12TDDUcHJymj2bLrnLET8/lDO786GH8jWmE6K39CmUv/tGmqJYH2IotHz58vXv35+kvHD2rAmtxCInq/uQu7v7uXPnaK4Wtg99uBJo7z9cbg2E6Po5XE58ow7A9qFP1xfY+w3hir83ypnzb/miqGwf+nxnqb3vQO4Xmj+buOQ4EkbXp2P70NcHK+x9+iqIm7tm3/+JLjknxIeADh06/O9//2vYsCHNBYA+lDnosWP67bff2NXBFl+Z18qr+V/sgXpC+OXcllWZJ7uhWC/i06dPSySSx48f01wJtlgjWolFTpb2odKlS0Oz+PYt/USWGtg+JF1vu8F8msj5n7fd3nBqLWwfkq63XTeQJnK6+WTb9UXFetu1Z9JETg/fbNtD6Wlntg99uhloXX0aTeT0LmT71zsN620rMHXqVHgr6tWrR3MBoA9lDvrqmMjTHR88eEBzrvjMGOUVpl8Ws+Ffu9qcxLxLaBtODLRq1SogIEDV2TkFsXq0EoucrD4fypEjh5DrKQG2D329tzqH02/yqTghuLh1/ms/6Lk2tg+FPVyf06lV+tMcpfxX0jrfv9F0jsT2oYigv3I6Npeev0/nZWkbz4tR9CDZPhT5bFtOhyZfaEZ4Vc7G42wYtUOBPrRr1y5fX19mdQkhoA9lDvrqmJTPCLHFt5a3z1t9GfOcNyD209/O1vWYdmiuYqZ2MkcMwKgX+pxly5bRnIuCWD1aiUVOVvchmAckJ3OuMVMF5zqF2K8di0paTDtAZ1Jx75b9XiJ38xnJ8lEO24fS4sI6F5c0nbyffkEU935lr1LuTacmyb/L5FynEB/RtaRl44l76RdE8R/+7FMm1y+TE+ViznUK8VHdS1s1Gr87gqQJH9f0K+/ScEK8/A8S6EMPHz7MlSuXm5sbzQWAPqRHyKM8CXSTHL10TNu3b3d0dKSJHI74w2VvJ4vFx+WD+KjXUxq7lx17kKYo1pdYxvjx42FYwDv8VRarQSuxyMnSPlSyZMkGDRrQRBMcH4LZd9yVSvnt7RztAHtHO4dybV6zns/N8SEQx1+r4pUuti/T+lX6tXVcH5KKb1TzZolLt3zxPX0Wz/EhqfhWDR+WuGTz59HpYoE+FBYWBv0U7IHmAkAfMgSG8KHExERPT8+pUxWfl6ggfn9/bk4bW09vH8DT1SF7nYERrOEZivUlBsi6jn/99RfNWSiL1aCVWOSYsA+RolUoXW19qFWrVjTRhIIPyYg8dWLThg0btl/4V2Fso+BDMqL+OSkTn/+XeaAWQcGHZFDxtnOX2c/PAxR8SMa306c2g3jr2YsK9y4I9KEfP36ACVlZWdFcAOhDhsAQPrRnzx7YbWQkcwUmhad//Ppo+YopwOqTnMccAChmo6MYWLBgAVRcfLxCT8AvVoVWYpFjqj506NAhshoNwO7HtfIhsJbu3bvTRBN8PqQSPh9SCZ8PqYTPh1Qi0IcAGxvpo5RoIgD0IUOg3BJ07JhSU1Nz5co1Z47iY+kBw3V5KGbDKw4LC8uePfvKlStpLsdwhyFyTNWH2J0mO9Z2PiRw3XsAxDQSQOnSpWkkgLJly9JIAOXLl6eRACpVqkQjTVhYSJ+7RxMBkHvyET3Ce15Uq9V3lMVbtmzJnTs3TbjouGc1oJiNKvG8efNcXV1pIkerPaMPGR9VPhQQENBeMDlz5vT396eJJkBMIwE4OzvTSABaiV1cXGgkAGjoNNIEvIcATQSg1UUNiEaUv78hODk51RKMvb09jWTAnBU+Uxjl1K5dm25ioSBWD4rZ6EXcsGFD+HCh9mkuQ6s9+/n50VZi+pibD2k7H+rduzdNNGHe8yFtz8vhfEiPsE1o+PDhNJKh1dM8FUbTz58/h89U1eWgmT8D4CUri8eNG6cwp9FqzzgfMj768qF27drRRBNm/P0QdFX4/ZARAR9ioJvk6PKFQdOmTZs1a0YTJXTZs3pQzEaN+NmzZ5aWlo8ePaK5IQ9D5JiqDwF16tSB15MnT8bFpV9Tpq0PtWjRgiaa4POhuKCga1evXr31/JXC7dF8PhT3VCa++d/L9EUQZfD5UHywCjGfD8UHP5WKbzx7oTD0FehD4eHheN22OMlwxxQdHQ0DizNnztBcCZ49J8e8e/8K+BCRvq4uAcVsdBWz8Pf3HzlyJE00iRXQSixyTNiHrl+/DpUGrzSXoa0P1axZU/0KuAyKPvTtWduq+eEAZFj5tR4RzjIBRR+Kft6+mhfVgrjFkDDWHdiKPhT9omP1dLFv80FfWWJFH/rxqlMNb6qVWPo2HfCFtZKdQB969+5d9uzZlW91VAP6UOaQ4Y7pzz//dHFxUb4ymEFhz4nvrjavIG9IdrnazNvNrgoU60uswNGjR7Nly0YTTWIFtBKLHBP2IV608iFwiwIFCiQlsVflUAnHhxKih1axrdBzwXvyTyMeDmmQz7/basbROD6U+H1ENbtyv897Rxwi8tHwX7z8Oq9MkYs5PpT4Y3RNh7LdAt+SO5KiHo9s4u3TaRmzUgPHh5JixtZxKtVl9hvS23wLGt3Mx7v9EmalBoE+dO7cuXz58vn4+NBcAOhDmUOGOyZoVIMHD6YJH5w9x4S2zC9pMmIlucko8vbuCp72/XbwL0Zn0mKy8ojRxErAtBXGfzt27CCperECWolFTlb3IRjBsE/rqYHtQxGPN+e0rs8sqSsl9aaPpe/dGDonYvtQZNA2Z+s672kmI/WOr6XPLflidGwf+vbfbhfrWiE0k5F6v5Cl9w35YnRsH4p+uc/FuvpbmslIfVjY0uvfSHpbrUAfWrlyZdGiRYVf1ACgD2UOGeuYPnz4AA07LIy7qCEX9p6f7+qfw2sQ+yboqIcLrJzbMyuEoFgvYl7at29fu3ZtEmsUs9FKLHKyug/Z2Nj8999/NFcL24fenplo03ABTeR09rbbw7ve9oUpNvXm0kRON59sO3nX274y07rOLJrI6elru41/ve051jWm00ROH3+bzVqutz1kyJCaNWs2atSI5gJAH8ocMtYxDRs2TON1lew9nx7dwHfSJZrISPn2OsC6GO/a1eYklq8Kl0liXm7cuGFra8v7cEL1aCUWOVndh0qXLr1161aaq4XtQ+8vzbQrM4F7BUF881zZj8onImwf+nh1jl3JsVxxQkt3p0Ny02L7UOjNBdlKjFIQ/5rbcf9XalpsH/pyd3G2gOHcaxMS23o47P6o3fOH6tWrN378+Pr169NcAOhDmUMGOqbU1FRvb+8ZM2aQjapg7/n8pF98Bh6niYzkqCBfq1LPaWa2YmYEmjliVVhZWV28eBECIWIGrcQiJ0v7UMmSJYcOHdqkSROaq4XtQ8lfbvvYZ9v6jKZA9Lk/JPl+iZJ/08T2oeSvd/0csv0VTFPgx8XxEs8GEYn0Ox+2D6WEP/R3tN3IDOrS0mIuT7LIUzcsgYrZPpQS+aSIk+061lO1Yq5Ms8hdOzSOioX4UFJSUrZs2S5cuFCrVi26SQDoQ5lDBjqmd+/eOTo6Xr58mWxUBXvPP64ukDiVf8NaJPHphmaSShOZ8RCK9SJWRfPmzbt06QKBEDGDVmKRk9V96O+//3ZychLyCCLOdQppaf/tGyyRSLqNWbp8+fI5fZtIJE6r/2UefcLxIeD5gWEg7jJ6CYgD+zWTSOxXXvpMf8b1IeDF4ZEg7jxKJh7QXCKxW3Y+lP5M4TqFtLRXR/8AcaeRi0E8b2AriSTb4rOf6M+E+RC52xGCKlWqkC1CQB/KHDLQMZFH3mm8+kZhzzsGFJW4lVy85QiwuF89ibXfmTfMdxwo1puYl+3bt9vY2EAgRMyglVjkZGkfAmsJCwuztbW9c+cO3aQaBR8C3j/Y37BuLmdn5wK/dr78kXPfgIIPAR8eHWhUTyr2bvW/C+85T4BV8CHg45NDjeu7gdirZcfz7+hziwgKPgR8CjrSpKE7iPO1aHcuhFw9RBHiQxMnTgQ/hgB9SIRkoGPq06cP8723GpT2HP/PhrG5c4OFSbxa9Lz6hdNEUUw3y9BNzENwcDD0Ql++fNFq+QwhezYVsrQPkSeQZsuWbfXq1WSLGpR9SA3KPqQGZR9Sg7IPqUGID3l7e4MVQYA+JEK06muIGEYkML4mW9SQgT0LBMVshIgTEhLc3d337NmjVfel1WGInCztQ8QtJk2aJMRjRLJknMBLDwgarSUkJMTOzo6sLKLVknE1a9akEWJItBogBwQEJCYmWlpaKj9tSBmt9oxiNoYQd+3atW/fvuhDZgJMcYQDMyF4LViwIEyowZPIRlUQsUCgc6eRALQS29vb00gAGsU+Pj7wt0P/BbGDgwPZKAQQ03ccMSRarbcNHwpMly0sLGC2SjepRi+LRvOCYjYCxVCJOXPm1GrPuN62eMnAfAgoU6bM2LFjSawKw509q1ChAo0EoNXdplWrVqWRCnx9fZcuXUpiraY4Qr6BQHRHqwWYYRY+Z84c6KForhZ9LRqtDIrZCBR///7dysrK39+f5gLA+ZB4ycD3QwD0xZ6enj9+/CApL+b3/dDVq1dh7BweHk5S/H5IhGjV10ATbd++vcBHDGu1ZxSzMZDY2toaxoU0EYBWhyFy0Iek/Pz5UyKRqL+h1cx8KCUlBbykefPmEJAt6EMiRKu+xsfHBz7EFStW0FwtYuh5ARQzwMxJqzUetToMkYM+RJk3b56trW1iImu1ai5KPpR0bvtkTzfwL4mkUKnl5x7SzTKUfCj5ws6ped1lYt+SS8/cp5tlKPlQ8sXd0/LLLgOVFCyx5PQ9ulmGkg8lX9o7w8tDJi5QbNEpzgXoanzowYMH8C+ePGHWH0EfEiNa9TW5c+f28vL6999/aa4WxT2nxp/ZND6PrCF5t+p17SvnPgQU0+0ydBKrplWrVuhDZkKGfSgiIsLZ2VnNWFLBh85ObCDJ6b3s0D3o0C9tGGdjbT18e/oqCAo+dG7yL5Ls+ZccuAviyxsnZLOxGrIl3QAUfOjC9KaS7HkX7b8D4n83T7KztRy4Kf1JWQo+dHlWC4mT54K9t0F8dcsUB1vLfuvT1/pV40PwSxWevYQ+JEK06mscHBysrKwErtursOcdXYtK3AXfuYliFlqJ1fDHH38UKFCAJgIQvmfxgz6UzoQJEzw8PFQ9R5ntQ/HvzrpJ3M6zbzB9udzSsdIn+eo7bB+K/3AhtyTXWfaVtK9XWzmUfx/Ps65PQugVT4nrP2QRecKbddb2ZUNi6dkztg8lfrme18L5JP1+R0bIJhu7Uq9iqFiVD5Fb7p89Yy1MhD4kSrTqaywsLGBOTxNNsPds9gvqiESsng0bNnh6ejLnyTUifM/iB30ondTU1Ny5c/fo0YPmXNg+FHJuim3N2TSR0y6vw4EInvW231+abltNcVXsjvnt98qXLmX70Mdrc2yqTKaJnM7edrs+86y3HXprnk3FCTSR080n27b3dDjG60NJSUleXl7Kfyb6kAjRqq+BsYXwyynZez4/qbHSYp1PfK1Kq1gzFMUZFKvn8uXLLi4uQu79Igjfs/hBH+Jw+vRpKObbt2/TnAXbh7R+7kNdwc99uDrTurbicx96aPPch96FNDz3Yfjw4WC3yuuPoQ+JEK36Gmi6zZo1o4km2HvO/AcuiESs+6MctBKr5+bNm9mzZ3//nvOoMjUI37P4QR9SBCqZ9xZotg99f77fWVI8iH0C78eRnJYB/8XROTXbh368POwqKfaE3e3/PO5iWeSp/KF5bB/6+fZ4LkmRhxzxKVcL/yfyh+axfSjm3Sk3if999qUVMWfcLPzuR1Oxsg+RyxMOHz5McxboQyJEq74GPtn27dvTRBPsPf+3s19Or8Gch7k9WqjqYW4ozrBYPS9fvnRwcHj16hXNNSF8z+LHhH1o9erVzs7ONJGjuw99+/YNZsf9+vWjuRzOdQopiSva5M9dud1V2djl58MDVXwcG0xOn55zrlNISVzVvoBbxTb/yh6zGvPoUDU/x3oT/pb9TArbh9JSklZ3KuhW4ddLb6XfHsU8PlyjkGOtsUfoV0kK1ymkJK3rUsi1XKsLr6X+Fxf0d63CTtVHH2IeT67sQ+7u7qqed4c+JEK06mvAhwYMGEATTXD2HBPaMq+kyUjBz9g2WbHQR30bSKwWmAnZ2dkFBTEzOg0I37P4MVUfat26NQmg9khA0N2HgEuXLsFuDxw4QHMZHB+SEjmzT32QSbF0/G36Jva0hONDUqJm92tAxRYOraesZ4s5PiTlW2D/hlQssW89eS3rS1CuD0mJnjewEdVKsrWcuIaeGZSh4EMtW7b09PRU9ZAL9CERolVfAy1g6tSpNNGEwp4TE682L+dNmpHELlebebuZoQ+AYn2J1RAZGWllZXXz5k2aa0L4nsWPqfoQc3EqGNLmzZtJDOjFh4DFixdDo4KZMs15fEhKfPxPICZB8a4jJR+SEh8fIxMr2oCSD0lRJVbyISmqxGwf+vPPP6GVBweznsfHBX3IiEBjO3ToUGBgIM3laNXXwE4WLFD82lIVPHtOjgl59wJ4H8G5AwZAMRtdxSpISUmxsLC4cuUKzTUhfM/ix+S/H1LoPfXlQ6mpqQ0bNoTZA2N4vD6kCl4fUgWvD6mC14dUwfgQuVB7586dJOUFfchY2NnZKQQMWvU18BGvW7eOJprQas8oZmM4MXyC586do4kmtNqzyDF5H/Lw8KCRjICAgIOC8fLyohEfR44cgWaRP3/+s2fPQurt7U22C6FAgQI0EkDBggVpJABfX18aCaBQoULwV8BAG/6QChUqQEx/wAc0axoJQKulHhH1wKdDApitKgxKfHx8HgsG9rNixQqaaAKaKI0EgGI2hhPDJ7h8+XKaaEKrRVFFjin5EHxIBJqzCpgB5kPXBAMGQCMVPHz4EJqRjY3NzZs3/fz86FYBgAHQSADQnmgkgCJFitBIAODKO3bsgHdp1KhR9+7do1tVALNDGgmAPMIV0QtqmjTMyP8SDPzb7t2700QTMICjkQBQzMZwYvgEx4wZQxNNQCdDW4npY0o+pADv6Sx9nZdjiI+PhylRtWrVwJDoJgGI5LxcvXr17O3t+/TpQ3O14Hk5Y6HGh7Q9q/Pnn3/SRBOGO7mEYjZaieETvHDhAk00odWeRY6p+pCP7AFuDHSrAXwIiIuLgykL/JYvX77QTZoQgw/t3r3b0tJy2LBhNNcE+pCxYBrwrl27FJ7aoG0vNmPGDJpoQiQ9L4oZoqOjraysbty4QXNNaHUYIsdUfUgVhvAhIDExEZzP0dGRd6kFZYzuQ7NmzYJeycbGhuYCQB8yFszlCewRFUGrvgb++ahRo2iiCeU9J359vHLVNGDNqat0kxwUs9FRrIqwsDBbW9sHD9LvPVKP8D2LH/QhoZQuXXrKlClQ6nPnKi7So4wRfQhac6NGjaBBnzx5UqtHrKIPGRFoV1OnTn3z5g3N5WjV18BO+vbtSxNNKOz5w4l5zva2Hvm9AQ9Xhxx1B0WylgtBsb7Eanj9+jWMSJ4+fUpzTQjfs/hBHxIKuW772LFjUO1Vq1aNimKvtq2IsXzo4sWLrq6uvr6+b9++hVR5PQU1oA+JEK36GmiZzP3dGuHs+cNl7xwWi4/LF0WLej2lsXvZsQdpimJ9idXy8OFDJycnUrlCEL5n8YM+JBTm/qH3799Xr14dan79+vVkizKZ70Pgi/369YOjGj16NN2EPmT6aNXXwKdfr149mmiCvedby9vnrbaUvahh7Ke/nW3qfaUZivUjVs/Nmzdz5swZGhpKc00I37P4QR8SCvs+1tTU1IULFzo4OHh5efGez81MH0pMTFy7dq2FhUW+fPnu3BH6PFZl0IdEiFZ9DbQB4dfysvd8ZkwD3wmcy7RSol4WswngXbvanMTyWUwmidVz9OhRNze3mJgYmmtC+J7FD/qQUJTXU/j06VPv3r3JyZDHjx/TrTIyzYd27doVEBCganKGPmTqaNXXWFtbQ0ugiSbYe74yr5VX87/Yq6IlhF/OY1n1A83MVsw8YiFzxOqZP38+jGtpIgDhexY/6ENCUbWuz5MnT2rXrg31D6/MGoWlS5cmgRAy4EM/fvzYvn07zOKdnJwGDRqk6hmy6EOmjlZ9DbSHHDlyhITI1nXXBGfPzw/mcHQ+/Ej+GODE6K19C+XrvoGmKNaXWC19+vTR6iZF4XsWP+hDQlHlQ4SXL1/++uuv4EYFCxZcvny5Vk1EKx+qVKlSv379cufODb8rMDDw61fmRDQP6EOmjlYNKW/evDA53rt3L83VorDnR4f7SiR21Ru2AKoXdpP4tWQeRQ+gWF9iNdSsWdPHx4cmAhC+Z/GDPiQU9T5EgKHopEmTwIrAJKBVrVq16u7du/RnqtHoQ9+/f//nn3/Gjx/v6ekJe65fv77A5SzRh0wdrfoaEDdo0GDyZMXnyvOivOfw4FN9+jYDBq3aqfAdBYrZ6ChWBQwuoeugiQCE71n8oA8JRYgPEVJSUsqWLTto0KBcuXLZ29tbWlrWqVNnzZo1Dx8+/Pz587dv3xSeAMT+yic1NTU2NjYiIuLjx48XL14EV4OpOuwhe/bsEPz5559aHTP6kKmjVV9TunTpPn36QG9Ic7VotWcUszGEGDoNGGL6+vrSXABaHYbIydI+pNXVBFp95QM+RAIwnkuXLsFUBn4XtDPAzc0NLK1GjRq1a9du3Lhx27ZtXVxcfvvtt19++aV69epVq1b18/NzdHQEJbzWq1dv2bJlMKmKj6fPt6tUqRIJhAB7o5EA4JBoJIBatWrRCDEkWrVnaHVbt25VdWW/AlrtGcVsDCF+/vw5DFuLFClCcwGgD4kXmC5A5ysQBwcHGgkgw2KYOkCvXb9+/UYqgLkOjViALTVs2LBu3bo1a9aEPdB9Va0K5kQjATg5OdFIAHAYNBIAiOk7jhgSOzs76G4EYmtrC4MYGMHAK92kGhDTSAAoZmMIcc6cOaGmtNozfMq0lZg+WXo+pNXDCzL/1lReKlSoQCMBVK5cmUYC0OpUm1YrBiEZRqvnPJHGDz4k5JI5o88ACCgmVKpUad68eVqddQcropHpg98PCUX490OASEwLvx8ydbTqa4gYRipjx44lW9SQgT0LBMVshIjDw8NhPnTjxg2thh1aHYbIQR8SCvoQG/ShzCEDXd6yZcvc3d3JFjXw7jklNQVg35VJQDEb3cUKXL16FWax8M+FiBm0Eosc9CGhoA+xQR/KHDLQMd2+fdvS0lLjMmWKe/72ckS7StAbSnEvPPEg5/kFKKbbZegk5mPKlClkQSYhYgatxCIHfUgo6ENs0Icyhwx0TD9+/HBxcdmxYwfZqArOnpNiBpeUBLQaFhyeDDw9OMfdMfvsM6/pT81I/NS4YhX4+fnNnz8fAiFiBq3EIgd9SCjoQ2zQhzKHjHVMNWrU6NmzJ4lVwd7z+yMjs+Xq8J1mUsL+HSPx7EHvFUCxnsS8fP/+HeZRL168gFijmI1WYpGDPiQU9CE26EOZQ8Y6pu3bt8OUiMSqYO/59B/Ki0a/KmbNv3a1OYl5V8U2nJiX5cuXe3p6kmW2NYrZaCUWOehDQkEfYoM+lDlkrGNKTk6GIfaJEydIygt7z2fHNSw4+ixNZKREPS9iXTyYZmYrZh59mjliZVJSUqCi+/XrR1L1YgW0Eosc9CGhoA+xQR/KHDLcMfXo0UP9rWZscdiZyRY5GobTTMqHo90lhYcwj3dDsV7EyoSEhMCIgbnfS71YAa3EIsfkfQg+RRrJQB9igz5kKrx58+b+/fs0YZHhjunSpUt2dnawW5orobDneY2dXUq3OHnnFXBiUW+Jde4t99KXcjcb8QljixUYMmQI+2569WIFtBKLHNP2IejB0YfUgD5kEkAbjoqK8vDwUGjMQIY7ptTU1Jw5cy5ZsoTmSijtOXz1uHZwAIBFqbpb772im2WgmG6WoZs4neTkZGtr6127dtFcrVgZrcQiB+dDQkEfYoM+ZAgUGjOgS8e0dOlST09PmihhuC4PxWzUiA8cOODo6Mh+hJjhDkPkmLAP9e/fH1518SFcX46NVtai1eLciECUfUirBZgVxBERERYWFleuXKE5F132rB4Us1Ejbty4catWrWgiQ6s9ow8ZH6ZiFUrXy8urrmDg39JIAGYvhj6LRgKwtLSk7ziiP06ePEkjOa6uroME4+zsTCM59vb20LUNHTqU5iyUxWpAMRu9iMeNGwflCT5Ecxla7ZkswWAemJIPwcdGYMcEIkAQU4E2XFbTtbOzoxELf3//eMEoi4OCguBX3L59m+YsdNyzGlDMhlccFxdXsWLFtm3bJiQk0E0ytNozzodEBLuSEcREUdWMdf/CAEbcvF9t6r5nVaCYDa/4wYMH8Ik/evSI5nIMdxgiB30IQYwMtOE6Mnx8fBSu3ta9Y3r69Cns//z58zSXY7guD8VseMX169dv0KABTVgY7jBEDnbiCCJe9NIx1atXr27dujSRoyx+dmF9zVpghT4NRs15T7dRUMxGR/G9e/dgZPD6dfpaqAzKYjVoJRY5ZutDep8n2dnZwYgVdst7Hj/DdO/enQSBgYEk0BcGOmAC7FbNPZKIvtBLx/T+/Xv4vNTPtM5PbCixdu81YgrQs35hSc5KDyIS6c/MSNzT2GIAxgRNmjShCRdlsRq0Eosc8/QhqDqAJvpGv3tm9mYqBwysXr0a7BN9KBPQV8fUq1evAgUKJCcn05wrTry/wdqp4O0v6U9xuzCjkmPTBUyOYr2IgXPnzkE9Pn/+nOZcFMTq0UoscgzV9xmR69evw6tJdOtRUVHM3kzigAlxcXHoQ5mDvjqmb9++QTNYsGABzbnii9ObFeiynyYykqLuelmWZz5gcxUzp8YyRxwTE5M9e/aJEyfSXAm2WCNaiUWOofo+IwKdO7warltXs1aKtsCu2D5koJ5djwcMeHh4wCv6UOagx47p0KFD0MY+ffpEUrZY+vCCiRdpIkP68AKbYiqfoWAuYpWPcjCMeNCgQZ6enj9+/KC5EmyxRrQSixxz8KGTJ0/Krjaqc//+fea7EL34ENktQHN92xt05WwfIoF+0e9umbV/0IcyB/12THXr1q1VqxaJ2eKHG7rlLj41gWZSvr/e4mDfTDqgk4Fi3cXBwcEWFhbXrl0jKS/sPWtEK7HIMUjfZ0QuyIH+F17pVj3h7OxMI/1hUB/S+wGT9xZo3Ljxrl27yNQTMRz67Zg+fPgAzWzv3r0Qc8QRQeVzSgavOkGeVpAUcrVTKcemi9OH+SjWUZyQkFCwYMEuXbqQjarg7FkTWolFjrn5EIPeu3UfHx8SQC/Mu0R/xjCcDxnogAk4H8oc9N4xrVixAlqa8t340Z/3BOTJDj+Sks2hZK95cfQnUlCso3jBggU2NjbR0dFkoyoU9qwercQix2x9CDpfGukDGPhLZwFy6FY9AX365s2baaInDHrAQHBwcFwcu9wQg6D3jikxMbFUqVLNmjXjEcd8Onf+CHAxiPPkAgDFbLQSFy9e/NatW+BQx44do5tUw7Nn1WglFjlm60MIYgYYomOKiYlxcXEpUKAAzQVguP7R7MXu7u758uUbNmwYxBox3GGIHPQhBBEv/v7+CYIRKIYp0enTpy0tLffu3ZuUlES3qsUQh0Ewb3FycjLMhKpVqxYfH083qUWrw0AfQhAkM4CJywDBODs700gTQ4YMsbKygi6yVq1aAwcOpFtVI3zPAIoJw4cPt7W1zZEjx7hx4+gmTWh1GPjcBwRBMgODPp+tf//+fn5+MFSnm1Rj0MOgkQBMS7xjxw57e3t4h2kuAK0OA+dDCIJkBob7wgC6vNTUVBhTC3nCr+EOw1zFV69ehenm/v37ixYtSjcJwHDHLHLQhxBEvBi6M/3w4UPu3LmbNm0KnkS288Kz55jQCxf/Bi4/VVw3OiuKudy9exdMaOzYsRBrFLMxnFjkoA8hiHjJhF4sNDTUxsbmt99+IykvCnuOvr+3RL4c0NVKyeZQqvd89qm9rCZWICgoyNbWtm/fviRVL1bAcGKRgz6EIOIlc3qx//77D/rbrl270lwJzp4jn1ZwlQxacZyuIPD2SoeSjs2WqFhuQGRi8jwGfYq5PH/+PFu2bO3bt6e5WrEyhhOLHPQhBBEvmdaLPXnyBGZFAwYMoDkXtvjhhm7uxaew5wffX22xt2+uavk18xazCQ8Pd3BwaNasGc1lqBLzYjixyEEfQhDxkpm92M2bN2FWxJxQYsMWZ/6q2GJeb5vh5cuX7u7ujRs3prkcXrEqDCcWOehDCCJeMrkXu379OozoW7RokZRETndR2OKL05sW6HqAJjLUPvhH1GLmCoQMiwnwvoGF8z5lVVmsBsOJRQ76EIKIl8zvxd6+fevm5layZMnv37/TTVxx4v311k6+t7/SFLg4s7JjE1WPKzVzMbB3715LS8uBAwfSnIuCWD2GE4sc9CEEEQswpqaRHKP0YuHh4eXKlcufP/+LFy/IFgXxuYUNJFa5e4+aBvRuUESSo+KDcPKlvpQsJZ4zZw58amoeNamwZ/UYTixy0IcQRBRAdyYSHwKSkpKaNm1qY2Nz8+ZNSJXFwefXVa/pDdQbOfsdM1OQkUXEiYmJ3bt3h7dI/ULayntWg+HEIgd9CEGMz65du+BVPD5EGDRoEBzS0qVLDbfejCmKAwICvn79Wrx4cXhzND7ZSyTHLHLQhxDE+JCHOSn7kFarwhQrVoxGAhAo/ueff/Lnz+/u7h4SEkI3acIQh0EQidjR0dHBwaFdu3Y0V4vhDgN9CEEQveEsf3y7sg/Z2dlBdyMQW1tbGglAoBhG/bly5YIDg563UKFC4IswN6I/U4EhDoNgXDH87f7+/gUKFIB3w8LCArZofCsAwx2zViuoihz0IQQxAtCXES5cuEAjOVQhQyQzAHCgtWvXwrEJeZ6bSI5Z7+IHDx74+vpWrFhRq7OUhjtmsCIamT7oQwgiFhRMCNCqrzG0+OHDh3nz5rW0tNy5c2dycjL5kTKiOmaBqBd//vy5ZcuW8Ol069YNUlP8A0UO+hCCiAWR+xAQGxs7d+5cOM4yZcrcuHGDbFRAbMcsBDXicePG2djYFC1alPl7TfEPFDnoQwgiXsTZ5UVGRpL5wf/+9z/l6xfEeczq4RUfPXrUwcHBzc1t1apVdJMMU/wDRQ76EIKIFzF3ebdv3/by8oKeeuTIkeyHuor5mFWhIL5161bZsmXBaIcNG/bt2ze6VY4p/oEiB30IQcSL+Lu81atX58uXD7rsIUOG/Pfff7BF/MesDCPevXt3pUqV4M9p165dUBCzaCoHU/wDRQ76EIKIF5Po8lJTUw8ePAhzI3KmTqvriUXyBxYqVOjkyZPkxqA2bdp8/cpaXU4JkRyzVmKRgz6EIOLFtLq8CxcuVK5c2cLColatWjt37qRb1WL0Y3737t2wYcPAQYHp06cLuV3X6MdM0EosctCHEES8mGKXlzt37q5du2bPnh169k6dOp0/f/7Hjx/0Z0oY65ifP3++Zs0aHx8fOMgKFSrky5eP/kAAxjpmBbQSixz0IQQRL6bY5ZHbPCMjI0+dOlW9enXo6HPlytW2bdu7d++mpnJXDM30Y46Pj1+/fj38yM7OztbWdty4ca9fS58rZPYL6Ikc9CEEES+m2OUpiCMiItatW9egQQPpmS+JpG7dulOnTj19+nRMTAz81HAGwOz5xYsXmzdv7t27N1mSJ0eOHEOGDLlw4QL5KUGcb516tBKLHPQhBBEv5tQ/pqSkQO8PfuDl5eXk5ASWULx48Tx58ty4cSMkJCQsLCw2NpZKVaDxMJKTk6Ojoz99+vTq1St3d/fff/8dfouVlZWrq2u5cuXmz5//7t075TkZIPK3jhetxCIHfQhBxIu59o/gB2fOnJk8eTKYhHSWJJHY2Nj4+PhUr169Q4cOgYGBBw8ePHr06LVr1x4/fvz69WvyDRNZfTw+Pv79+/ewEQzs4sWLhw8f3rRp07Bhwxo3blyqVCmyKisAe4YtMBW7ffu2mi+oCOb6PpsK6EMIIl48PT23CsbDw4NGAhCDeOfOnXnz5j106NCff/7Zp0+fqlWrknlShvHz82vVqtWECROOHDkCe967d+/27dvpL1OLyb11gL+/P20lpg/6EIKIF5giPBRMgQIFaCQAUYkfPXoUFBQUHBz8/PnzF6opWLAgjVTw7Nmzp0+fPnnyhNmzQExRjD6EIEhmYPbni1DMxnBikYM+hCDixez7RxSzMZxY5KAPIYh4Mfv+EcVsDCcWOehDCCJezL5/RDEbw4lFDvoQgogXs+8fUczGcGKRgz6EIOLF7PtHFLMxnFjkoA8hiHgx+/4RxWwMJxY56EMIIl7Mvn9EMRvDiUUO+hCCiAKJhKcYzb5/RDEbw4lFDvoQghgfXhMCzL5/RDEbw4lFDvoQghgZOzu7+/fv04SL2fePKGZjOLHIQR9CECMDk6GTJ0+SgGxhMPv+EcVsDCcWOehDCGIEpsqBmLGfXbt2KVgRedKBQFDMxuzF6EMIgugNtvfY2dnRSEbz5s1rCqZp06Y0EgCK2ZiiuHfv3rSVmD7oQwhiZOrUqUOCJUuWkABBshToQwhifMaNG6f85RCCZBGw6SMIgiDGBH0IQUyAKlWqhIaG0kR/KHwdpRf69+8PR0sT/bFkyRKtvsbXCgMdM4E576p3Dh06ZB7TaPQhBBE10ItFRUXRRK/ExcXpvRcjOwwODtbvnsuUKUMCQ3S7BjpmAuzTQD5kiKM1FubzlyCI+XH9+vXGjRvTRN+sXr3acH2ZfvfM7M2gna/ed966dWt4NYQPGfR9yHzM6o9BEDMDuhuYDMErjNbpJj1BOjLDdWf63TOzt44ySKx3DPRu6N2HLly4YGdnB7v18fGhm0wcQ7VCBEF0h+kZ9dtFkuUbAAP1vADzK/QCc5zdu3c33Bc5+j1mxn707kPwbsTFxUFgiDOrRsEc/gYEMSegZyGQmGzs378/dMEkzhjwz9m7ZUMEGYbuhbUfZ2dnGukJZudgQoGBgSTWL/o9ZpipkPeEoN+JC+yQRtzYdDGHvwFBzBWml4HO1xBXKxiiFzPoPg3U7RpotwS9z4dgSLF69WoSG/TIMw1z+BsQxFwJDg5WtQSqXtD7bmGHDJs3b6ZbdSZUBgTMhXN6hB6uDD0eM4PefQiAQ4VXA11ImfmgDyEIgiDGBH0IQRAEMSboQwiCIIgxQR9CEARBjAn6EIIgCGJM0IcQBEEQY4I+hCAIghgT9CEEQRDEmKAPIQiCIMYEfQhBEAQxJuhDCIIgiDFBH0IQBEGMCfoQgiAIYkzQhxAEQRBjgj6EIAiCGBP0IQRBEMSYoA8hCIIgxgR9CEEQBDEm6EMIgiCIMUEfQhAEQYwJ+hCCIAhiTNCHEARBEGOCPoQgCIIYE/QhBEEQxJigDyEIgiDGBH0IQRAEMSboQwiCIIgxQR9CEARBjAn6EIIgCGJM0IcQBEEQY4I+hCAIghgT9CEEQRDEmKAPIQiCIMYEfQhBEAQxJuhDCIIgiDFBH0IQBEGMCfoQgiAIYkzQhxAEQRBjgj6EIAiCGBP0IQRBEMSYoA8hCIIgxgR9CEEQBDEm6EMIgiCIMUEfQhAEQYwJ+hCCIAhiTNCHEARBEGOCPoQgCIIYE/QhBEEQxJigDyEIgiAIgiAIkkXB6RCCIAiCIAiCIFkUnA4hCIIgCIIgCJJFwekQgiAIgiAIgiBZFJwOIQiCIAiCIAiSRcHpEIIgCIIgCIIgWRScDiEIgiAIgiAIkkXB6RCCIAiCIAiCIFkUnA4hCIIgCIIgCJJFwekQgiAIgiAIgiBZFJwOIQiCIAiCIAiSRcHpEIIgCIIgCIIgWRScDiEIgiAIgiAIkkXB6RCCIAiCIAiCIFkUnA4hCIIgCIIgCJJFwekQgiAIgiAIgiBZFJwOIQiCIAiCIAiSRcHpEIIgCIIgCIIgWRScDiEIgiAIgiAIkkXB6RCCIAiCIAiCIFkUnA4hCIIgCIIgCJJFwekQgiAIgiAIgiBZFJwOIQiCIAiCIAiSRcHpEIIgCIIgCIIgWRScDiEIgiAIgiAIkkXB6RCCIAiCIAiCIFkUnA4hCIIgCIIgCJJFwekQgiAIgiAIgiBZFJwOIQiCIAiCIAiSRcHpEIIgCIIgCIIgWRScDiEIgiAIgiAIkkXB6RCCIAiCIAiCIFkUnA4hCIIgCIIgCJJFwekQgiAIgiAIgiBZFJwOKRL38cHlfSum92repGKz30o2/LVGHRn169Tp9Fv3wYMnTlq8btX29XNmtPrfuPWX/o2n/8p0SHx/ae3CTnXq1SgV4G5nIaFY5S9T7P/s3QdYE1kXBuDQiwhIE0SKoILYBXtX7HXtuq5rF7uu/va69t57wd77WnbtvRdUEFCKFAVBeu//CXPFgCQESCQx3/s8uw93JhwnIblzvmRm0rhFc+6+tmjeupVjvy4167at4tCy49Dxy7aeffz8Q3ImqyBLYoL8bh/dt3La4Fb9mtdqaVezds1mTbpOWXPUKyuF3QIAoAQlhXvfvbjj74m9OrSt1alPzRYdmzbL1ral85/9R0+eumDRriO7D6z438yeLstuf/LJYL8mNzI+Pd85cUL7po1r2ZTXYDsUnrKern2jOtwd5Wvc2bl2zy41HFrXbNjhz2nLXE/c8vYLZwVKVkZSfMjLO2cv7ty6avLUTq3qlNErz+M1nXj8n1B2AyHi03yu/LNkfMvG3SvVbUX3sFXdGl0b9Ry/5PK9kKQ0dhsAkBuIQ99kxmQ8XLm6k72Jrmb5OoMXXPX2DktMzrtnio0NeXH92DBnG5rv7bqtuvuaLZdHSVn3/h7QoCzdE137FuOvJIex5d9kxkR/fed2asHkhuZ0GxUtE9MO8xZcDZGRUBTtfX5Hn0o1DHRL67dsMOr46SefgyPi5S+cAsCvKsnny/HxLlXN9LUMavRevMst4HNkeu5dSmZWaniY35U9i5pVVOWpG3edeS0khK2SQ6leH3b0tTFQpf2Fbc8FOz6wxd9kZCSHhX66dWVx/zbmFJs0tE1qVhh37KpPEltfQjLTUuNDA4OCgwKDX97ZNaIdj0d3oN6s81e/sBvkI+He2emtbLVNjJov2vPmawJbmhLx9siSFqbl9Jr3W3Uv770HANmGOMSXFPbg2vS6tvz3tOxbzz37qoC2OiPz4yXXQTUGzT98IpAtkkMpWaEnlnWupsXjlbZvPvFSfGgqW5FXRpjPmb5djLTpljx9u4bjzjyOyCjBz15SfS4eHl27kjKPV6n31N1uYd/2RQAAMiLG88CWHpW0ac4s09DlmGdBbyPFf/lv0d+/OY7Y9/55DFskh0JD7yzsV7403ekKvebv8mRL8xF2/ez0ehV5PCXa5VbqNc7VI0gm3mYL8zw/qw8FNVFxKD0r/u2J0bVsNXila/0x43ZstOAnQemxcXdm/lFLi6dWo+6E63LcHQAoHsShrIxPl8/8ry532JjloG0HPNhyUTLjsj6ddT1z79zj3M14ZkJ88Aff16/cXvG9fuvl6RMeEpWe31SflhYX4O9JN3R75fUxICIlKz05KzUmIjEzNe9HUumpMZ8/eb99l13yzdt3vkFhUXkDW3pq/NeQgA8f3vsHhMXGp4mzb0nJ+nR0caeqmgXGIZIeG35udJ/apfiPkknN5iueeUUJP6QjMz01KsDPi3sMxPXa+2NQdFpGQU1D8s05fzbQ46mYV2m761oiWwoAIDvSXm+c070Cf49S2qzBwntPRHzOkCPN74vHsXXH3F/45p6Ik6Oi/L0/vOW4e3h99A2Kicr/A5WE+HDfDx50K0+Pj2Ff4zOyMuJTkxNoZ/HDtJqUEB4Q6On+jl/ynae376evcYl5ZvSM1MTo0GB/Xz//kNDY5FSx4kpIyM15vcx16H4XEIdI+PN7i5va6CnTjbXrD59yMULE/icrLSH+i48X3bXC8AqKEPJACSNGHEoI+bCrSzP+4SHWdbrsvJ5B8UhQRlbm/X29nOhvr1Ozy/+upUTgsDkAOYE4lPLhxKRRlfh7Lh7Ppseqm89EzcoieN1ePq6fo3Xdau3HLN+/9xDZs3hIizpKOlrlm9Zd9N/DwJwPVFKzou4dmDh8VIcBf6/efujQkUMXzxw9Om9yT9uGbbuN+Sfx0/eoE55yb8OKTr37DJu7av/x81TSdd70QTbm5XUM7Zt2H7f3eui3M2TSw71PTOzIP6hN2+T3HSeCxNkJFCYO0Syffu/AH00q8x+lMlrWU7e/+SI0jNB+9OOj2xeP8B8DsR29fP9JYLKoHJceEX9/aY8aulo8bYcBy3a9fPt4y+QF45q37dikSdOWrdr16DFn12VvnDEEACUqM/TeohZtDGmqVNY2az314udA4e8dCZeWGHHnyIju7ewsm7YeMnPbvmxLxzW1Kc8zK1t3WP+jHuHxOdNlVNTbE6t79R4z0GXFpr379h87dOnQno0jBrWybDxk0To3gTiU8s5nz4yJrfoNnrN29/6Dx/a5bl8zpF/r0upG5W3q9p2y455nTncf+eafeY3K8yd8pxbr7ryJZ4tFKkwcyoqL8toxxdZIj/9PONTpu/9BOu1mhEgMC3n1z4kj3IMgrhN3vXyiWAHxFByHkr88OjKonJ0aj6dev8n4828p/rA132R+vDG3ZXMVHs+obvWFD/yii/K3B4CfD3Ho3bUFfZryZ2RVntKAmWffFeX0zuSw0H092hlTkTqtZ90J/T5Bernt6m7MPxS5+UjXZ37ZizIi3M65WFhaOnZe8yIiewnn8z/TNo/uMPGfuI9czkh8dHlOawfDJhMvR+XZE309MWawtQpPw1Sr0/qLXrFF/YykUHGI7tKjo382q85/oPRKmUzY+Coklq36SRJ8r+3to2FBeyodq8rthy05/OjFV7YqK/HBf7sGtbZVp40zbNJ70SWfLz/upQAApC49K/3ajk61s99hMzaymb3PP7IoU/SXhw9m2JlRDd2B0476fJ+b4y5vH11NnaehZ+qy/k14dPayqOe7lrZWL1N1+II7gruUr29Xt5s+ZdqyF98+wfh0aFFbO7uaLrvyXiQg6PGMOo6leTyDBo1m/eufkJn7Ew/xFSoOJUT67p1d0diI/0BVrtN11w165NiqklJwHEoMubm3l3lF2mTNZi1mXfP9Mexk+l2b1aI57fPL1LGeceNDZEnfJwAQD+KQ142/+zbnz8gUh/pNP+0hznENP8jMSo6JCQn+/PlrbHxqRnJKkp+/+8U9KwY5Ny6rxz/lhlejz9rbr7I79MwYv1tzHOqW4SmrW5hUHffHotsPQxNS06l/T81MS4hJzkzjz7BJPmemj7RVU1U1KlvBplIulStbmRrra6ipqeuZdP7fpY9B/KpFUNg49DgnDmmLjkNpsWGXZo7uXJVtr3iqdZ88/2pkovB9R4TH0eVN1ClyarZftPbZj2EnLeXzwQWOloY8nlKtfmMvfI3HUQoA8LNRU39jV9fadvyp0sjIZuZe38iinN6YmZoRFxYeGPApNDoxKT09ISn+3Zt7B5ZMda5VRV9bhaeia95jzo2Qz9m3jfM4vb2nEk196npOlVstm3fEMyA9nX/gcWYi7YtiuMMNMgLuLnBuoaepplPOyr5yLpUq2pqXKa2loqKsU6n5jJ0+GUV9i61wcSjKzzUnDtUWHYfCXz3e0LOZI9teMTX93+Gz3qyAeMSMQ+VYHJotJA7NRBwCkD+IQ+kRN5bMbkKhgBh3WXnjaREPlstK8b55ZqXL4A7OdRsO7z5q7bxtT9w+uLvtHd2Qp8LjVem17o7b9x4+6v2F3WsHtXQ24PE/0SBa5aq0HTV25c2bIdwu4d2NJb/V4anpG4/e4CWlA8AKE4cyUlJfLhnXwpS/tToVKo3953HIzz4sLc7nyvZuKmYqPM2Oizc+y+cIhIzEgFtz6jQtxeMZtqix+OHXou7SAQCKLjPKa3uf7FOHlDRNG06++KWo1wmI//rg1O7Zf3Rr3r5e07F9/9qx5qhnkO/tkxNbG/NPSuox5+b3y9BlpHy4v3HmX23samTvT4iKpVPz/ouWnfrwjn/odEZWxpUtbR0MeboOXXfd4n5H8goTh5J93h8ZWN9EnX8+qnW3Ptu9oor4KElQwXEoMzbo5cq6dcvxeMp1Go8440ZL2BoO7b1v7epUx5rHU3VoNexkVBgO3waQE4hDJMr/+rJR+kqUWngmXf7c9jTvJafzkZEU8vzI8atXH/jQfJgR7XVlok2t0jxl657ddnunfJ8g3z3fPciJp8zjOeTEocy09MTw6KQ07sOLjPQU7+fnV89qV8u+tBrt40qbjdv4Ojw5Kyvg5NQ/TXmqOoYt595/nN8GZYa++HRixv7Xvm+LeJ3SlKzPx5Z2riZGHEqM9to4zcGM/zaeeuU6PfbdTEgvgY9eYj683d7RyUiZZzVwxBH/fHadyeFPlzk11eWpVB0w7mJEPN6VA4CS4fNg5UBn/ptsmryaE9bc/VzwbJQa9/n9/d2Hbr/zCaeuOubNyS2dlQ3UeGqN5/5948v36S7+2oGxjQxyx6H0pJTEqDg2J2ckxITcu7B23CD7soaqlDWsa3XZfiOV+vTPd2c1baDC06rSdsyxqC/5zeBpr4+8PLPyYGBaRBEnz9CQW/P7iBOH0j+6HRrTTYX/TqGKTodBq+/RflQGiHEphaykzMATiztU0FLimTeZstkrLUFwV5SZmO69dUpTUx7PonpP/tlQ2AsByAvEoWzpCbHv/l3fx8mcIomubZ1BOw96xQo9BfKrj+exjQs23jjvERnJHydE+++cYmZYisez7LdgX0D2bRjftweG1PsWh9iXFH31vTGt/shlmw77c2NOktfhkR1LKZXWG7jocWgUzavRd/79u4UV7Vh4uuUqdBmw6OxVgVCU9u74gQnD+w/c98Q/pqifZiVnvd0wupUVbZxelRZ/XUkMz/cO+18/M7VbDdr98niqdQZMPO79uQQPQssIfrOkQ0NDnlalQYPPB+fe3tSsj66zGxgpl27caf3zrzh3CABKUHKo7+UNLnVNKJGoWzh3X3LlrojT+j/cub5j0/zdL5+FpWafKRry9tSUzjwe7Y6aLr1+X/Dk0fS7xyc1MfwWh7iOPfrxsX2jnFyOPXud6whm738m17flqVdovuJULL8vT3q/ddlvFbMPhChftd7EGSfc3gvErIjrq+f2Hjt+9vWwjEyh+z7RUv2DT42qU5bSBK9y74V737PFuSVG33Vd1qMq/yxQnoZptwV7X0TJzKXFv3r9M6dfdhxqMO/SjZxzU3+Q4rd9Bf/KRRUqj7z0KkZgV5P45rJLZQueUZU+O059LuL7lABQIhCHcvN7fH3RuKFtajtYlLFs0K3j2JlLNq3fQXbt3HHq1OGr5ze6bl6y/cx/7rmugZOZFPX+9NDBTctp8DTUSnUeNX/3yVPXn9zZ9e+eGZO7t7TifyudbtXfV6/7587rN89feAVdWth1eEenRr17D5u7dOuOHTt37Ni48s8+nWo07/7XilthUd8/Xo/OfLFj2x+t65jzr1IkwNiwdr9h+68JXBLc/fGmThb8VZpl/7h0XNTpROnRfk/uHt2xc8P0ia0qZR+3zeMp65frPHvcrB07NvPv644d23fsmL30744tOlqVsavm0Khjr4FL190KEONDs58h/tW1nSObONUxqfjHn6PX0+NHm71k7NAujjWdWw3be+bdT77EAwCAUAn3j7uO7tWxno2lpYVdh2GD5y3esmcX/8Jnhw4e/PfSsf9Ordi6duX+B89yT9qpn5/fWN2wvpUOj2dkW2vssj3Hrl67+fTGqqNLx/dxqqhPk7Zq9baLz5y8ds3jg9+T+7f3j6rSqU3Npn+OnLZmywEq7rpl2fyuHZrWbuuy+fA7gY8okr2CTkyf1Ki6eSl2mDajZG3TafKSe+7fJ/mYC1v7WWeva9JqQ7CoK8tlxn5+8e+VQ3u2/z2sXxX+pvGZ168/fNuyFfv27eXf1337du7bNXnG/xpXb1SuTOU69Vr0GjR133Ef2fjOuMyUzJCXN/45um/fghm9q2df6Y72sS26jF+3ef/pE7fef07M7y3AFG+3Ay4dW1Ss2WfA6PU76R5unPd77+pWNRuMXnotsEhnIANASUIcyldmWmJ0eOhnXx8fb69v/P0Dw6IShH82kp4SGx4S6O/v897b29//U2QcdwZrckJYQFCAv59/0OdI7rczUxKzj6fLTIz/5B/AFffzD4hOEPZuUmpcdGhwcAAT+iksMSHvZ/BpKfFfQ/lrP4VEJom4IAH/X48NC/X18vZ6/97Hz/9jdsmPtNXe77/fVS8vGtFWh8VEJmTI5sf9GcnhXz59+MBt84cPvl++RsnmhgIAZKUkRofRjsDT49u353i4u9Ne4SvbT+QrKTYs6OMHb2+Pd+6e/h9DYpKz34VLiYoIoF3Tey+/oLBY/ncTZKalJSdmv4uW+PXrh3fe2eXd/QKC4lOFTIqpsWFfPvr5+fL5+fp9+fw1Ne+eLSMxNjz4I633D/0Smy7ye4dS4kL9/Pjfd/TunfcHHx9+UdoLer176+6evSmcd57vPn4KDI+PlrVPTTLTs+JDP/q843+tk6f3B/7m0/Z7eXrQ1nt7BUTGZ1/dSIjY6M/e77P/pB7evsFRyThXCEBOIQ4BAAAAAICCQhwCAAAAAAAFhTgEAAAAAAAKCnEIAAAAAAAUFOIQAAAAAAAoKMQhAAAAAABQUIhDAAAAAACgoBCHAAAAAABAQSEOAQAAAACAgkIcAgAAAAAABYU4BAAAAAAACgpxCAAAAAAAFBTiUMnj8Xjz589nAwAAAAAA+FkQh0qSp6enpqYm4hAAAAAAQIlAHCox1tbWFIdu3bqFOAQAIDsGDx5M0/LZs2fZGAAAfmmIQyWD9rXcD4hDAAAygmZjTU1NNgAAAMWAOPSzTZo0ad26dWyAOAQAIANoZqapmP7PxgAAoDAQh34q2t2KMHjwYHY7AAD4Wfz9/dksnP3mlIuLC/fzjBkz2C0AAODXhThUwkR/OkQ7aXNzcxsbm3aS1qRJE/p3K1SowMaS07RpU6psaWnJxpLTrFkzqmxhYcHGktO8eXOqTA81G0tOy5YtqXK5cuXYWHJatWqlpKRkZmbGxpLTunVrZWXlsmXLsrHkcJWnTp3Knt8AsqFWrVr0Os0Tfrp3704L7e3t2fgHR48epRvUrl2bpibJoplZTivTI8nGkoPKgqRXmToNVM4h1comJibv3r1j8wjIBsShEiY6Dn348KFKlSo7d+5kY8n5/PlztWrVtm7dysaS8+XLl+rVq69du5aNJefr1681a9ZcuXIlG0tOTExMnTp1li5dysaSEx8f7+Tk9Pfff7Ox5CQlJdWvX3/evHlsLDmpqamNGjWaOXMmG0tOeno65fAJEyawMYBsaN++Pc3DLi4ubPwNLSRs8ANXV1c7OzuapdlYco4cOSKnlb29vdlYclBZkPQqHzt2DJVzSLVy5cqVX79+zcYgGxCHZBoXh7Zs2cLGkuPv71+1atUNGzawseQEBgZS0JJGaPn06VONGjWkEVoowtWqVUsaoYUiHAUtaYSWqKiounXrzpo1i40lJzY2tkGDBv/73//YWHIoHFLQmjhxIhsDyIwfk09SUhItof+z8Q/27dtHbc3bt2/ZWHLkt7I0mjxUFiS9ygcOHEDlHPJYGYoDcUimIQ4JQhwShDgEIFmenp6Uf2bMmHHr1i2aENq3b89WCME1pohDHHkMAKgsCNFCEOKQokEckmmIQ4IQhwQhDgGULK4xRRziyGMAQGVBiBaCEIcUDeKQTEMcEoQ4JAhxCKBkcY0p4hBHHgMAKgtCtBCEOKRoEIdkGuKQIMQhQYhDACWLa0wRhzjyGABQWRCihSDEIUWDOCTTEIcEIQ4JQhwCKFlcY4o4xJHHAIDKghAtBCEOKRrEIZmGOCQIcUgQ4hBAyeIaU8QhjjwGAFQWhGghCHFI0SAOyTTEIUGIQ4IQhwBKFteYIg5x5DEAoLIgRAtBiEOKBnFIpiEOCUIcEoQ4BFCyuMYUcYgjjwEAlQUhWghCHFI0iEMyDXFIEOKQIMQhgJLFNaaIQxx5DACoLAjRQhDikKJBHJJpiEOCEIcEIQ4BlCyuMUUc4shjAEBlQYgWghCHFA3ikEzj4tDu3bvZWHLCwsKqV6++fft2NpaciIgICi3SCFrR0dEUWlavXs3GkkNtOoWW5cuXs7HkJCUlOTk5LV68mI0lJy0tjULLggUL2FhyMjMzGzduPHv2bDaWqKZNm06YMIENAOSZq6urnZ0dzdJsLDlHjhyR08re3t5sLDkyUpkmxtTU1OTkZNpfxMXFxcbGRkVFRUZG0i6P9qehoaEhISHBwcGB2dasWVOhQoVLly75+/tzS2gV3YBuRjemX6FfpF+nIlSKClJZKk7/BPvHhJPeo3Hs2DFUziHVyohDMghxSKbRHFq1alUrKytqqSWLEouWlpalpSUbSw5XuXz58mwsOTVr1qTK5ubmbOzkVFdAvXr1KB40atSoSZMm1HM3a9aseUHoNpyGDRvq6OhYW1uzcUG/Szegf4L+IYoN9Lv169enf51tR926bOOyUX7T1tYuV64cG0tO7dq1S5UqZWZmxsaSQ8mQKpuamrKx5FBlepylEeEAfr7Tp0/T85me2NykIUHUh9FcJ4+VHR0d2VhyJFiZzeDNm7do0aJly5a0e6W5jibzzp07d+nSpWt+aHnHjh3p9jR90ZbY2NjQfG5iYmJkZFS6dGnaME1NTSUlJZ7Y6Mb0K/SL9OtUhEpRQSpLxemfoH+I/jn6R/PdHlpI+xTaZtr1tGnTpnXr1nR7dpcE9mhFY29vL6W/ICoLosq2trbSCFpQHIhDMu39+/dVqlTZt28fG0tOVFQU5ZZdu3axseTExsZSbtm8eTMbS05CQgJlgDyHDkZERHh5ed2/f//o0aN///133759KZzQXEM7DG7fo6KioqenR/GM5iDakVB6ob1gq1at2rVrR7uW7t27//7777169TIwMKCHun///t26devQoQPdgG5GgYf2T9WrV6d9lbGxMe3DuJq0P6McQtVoJzp58uTt27f/999/bm5uISEhP769R0lp2bJlbCBRdF8WLVrEBhJFd3zu3LlsIFG0Mxg/fjwbAMgzV1dXmlX8/f3ZWHKOHz8up5V9fX3ZWHIkWDkpKSk4OPj169dXr17dvXs3zfYaGhply5bV19fn5nZCSwwNDa2srGiPQLmR8gbtKQYPHjxjxoxVq1bRDujw4cOUhM+fP3/t2jXa9Tx69Ojt27d+fn4fP34MDw+n/RT9Q3v27Ml5nFNSUuLj42kV3YBuRjemX6FfpF+nImfOnKGd19atW9euXTtnzpwhQ4bQP0c7INpx0AZYWlpSZKK+nG1cNtoTURwaOXLkunXrLl68+PLly4CAAPonsu9i0Z06dUpKf0FUFkSVK1euTA0DG4NsQBySaTh3KEd6ejrN+JRAnJ2dp06dSrmIdmA6Ojra2tq091JTUytTpgwFIRcXF9pDnDx58sGDB3Qfw8LCIiMjY2JiaBfFHY2QkZHBKgqIjo6m2PPjIW2UbdLS0ui3aCcaFxdHGfLr16+hoaG0N718+fKOHTumTJnStm1bikaqqqrq6uq006JNovRFu9Lffvtt//79t27dojQljc9DcO4QQMnizuLAuUMcrrI0DgEqQmWa52nap5xAkZVm6Xbt2tna2pqYmOjq6tL+ggsVNEuXL1/e2Nh4/vz5ly5devr0KWWVoKAgmuFpr0ETPu0y8t1fiIMm/2I+GrT3oQ2gzaCN+fLlC6U42jxvb+/p06dTWuvduzdlOQpy3H2hPWDp0qXpvlhbW1N+Gzt27Pbt2x8+fEg7LPHvAs7DEYRzhxQN4pBMU/A4RPuA8+fP076qT58+dnZ23LxPYcPJyWnUqFGbNm06c+bMkydPaD8hziHXIkjkUgrh4eFubm60W929ezellPbt29Oul9tmc3NzGk6aNGnv3r2SmgQRhwBKFuKQoBKMQxQbXr16dfDgwTlz5lBIsLS05CZeQsmB9he9evWiUET7u7Nnz7548YLmau4XT5w4QXuWd+/ecUMJkt6jQc00bfP79+/ZOPuCPfQPXbx4kVqFGTNm9O3bt169ekZGRuwh4PEsLCw6deo0bdo0Cod094V9joRoIUgeK0NxIA7JNEWLQzRN+/j4UMgZMGBA6dKlaR7X0dGxsbFp06YNFaQdDP28du1admvJkd6V5SIjI+vXr1+nTp3BgwfXqFHD2NiY7pSSklKzZs3owacJMWfHXFiIQwAlS9rRAnGIQ5UpAHh6enLDmJiYz58/P3nyZN26dR06dKDAQ5Oqmpqavr4+9f2tW7devHjxnTt3aIbMyMgQ/U6ZVLe5ZCvTHae7Tw/C3bt3ly9f3rFjR2tra3qI6IGih4t+oL3qihUr7t27FxwcTA8p/Qp3kQZpPDcQWgQhDskmxCGZpiBxyNfXd9myZS1btixfvjzN1MTJyYmWPHr06NOnT+xG2VfDq1mzpjxeaDvnMDzaOdHOhmbDHj16cGci0W6JbkAJgXZa3G3EhDgEULK4xhRxiCO9AHD+/HlTU9Nx48aNHDmyXr163JtKRE9Pr3PnzrSnuHjxIv27ERER7BfEJr1tls3KkZGR9Kf/77//KCB1797dxMSEeyQpUjZu3JhaAsqTN27cYLeWHIQWQYhDsglxSKb9wnGIss3ly5fHjBnD7dtoOu7SpQvN0U+fPmW3+MGv971DAQEBrq6ugwcPpsmR2y1169aN9nbiXHMGcQigZHGNKeIQpzht+o9CQ0MfPXq0fv36tm3b6ujo0NxoYGBQv379oUOHbt26VVL/imS3WZAcVaZSu3fvpn1x7dq1ud0QadGixerVq+/duyf4jmSRIbQIQhySTYhDMu0Xi0OZmZk0t27btq1evXqampqqqqpmZmYTJkx4/vw5dzUe0X7hr2FNSUn5+PHj5s2bHR0dVVRU1NXVLS0tp06d6ubmlpaWxm6UG+IQQMmSdrRQtDhE88O1a9dGjBhRqVIl7mBp2kd06tSpTZs2tra2It4pKzKJR4sc8lj5+PHj9DifyNayZUt68OlPQFmUFg4aNOjixYvcMXVFgNAiCHFINiEOybRfJg6FhYXt2LGjadOm2W888dq2bbt169bCnsD6C8chQfRYnT17dtiwYdyVGKgzmDFjxsuXL9nqbxCHAEqWtKOFIsQhmtWpOxw6dChNdNzeoUKFCkOGDNm+ffurV6+42xw9elRK7aP0ooU8Vuba9Ddv3rBxVpa7u7urqysFVHt7e+6vY2lp+eeff9JCaiHYjcSA0CJIepWhOBCHSsCjR4+4mYUzePBgtuIH8huH1q1bRz9Ty37x4sUOHTrQ3VRTU3N0dNy4cSMt5G5ZWAoSh3JkZmZeuXKlZ8+eZcqUoQeQ2gV69IKDg7m10dHRiEMAUkIz5Pz589lACGlHi181DiUkJNAGLFq0iG5PM5uGhoaNjc3IkSP/+++/uLg4diMB0gsAqCxIdJtOs/fNmzcnTZpkZ2fHnfhqZWVFuzaKT/n+1QQhtAhCHJJNiEM/G00iSUlJbJC906UlhI1zk8c4RKGFosWgQYMoXZiamtJdK1++/OLFi318fIp5OWxFi0M5wsLCjh071rx5c3owtbS0KF7SboniUNOmTWfOnMluJDmIQ6Dgct4LZ2MhuMYUcYhTYJtOO77jx4/379/f2tqae3g7duy4f//+Ak+VlF4AQGVB4rfpfn5+tEvq1auXkpIS/R3Nzc179OhBv057JXaL3BBaBEmvMhQH4lDJmzFjBk0ot27dYmMBcheH0tLSLl68WKFCBbpH1LgPGDDg9u3bbF2xKWwcysG9Y801E1ZWVhoaGhs3bmTrJAdxCBQZvbi4/3M/iMA1pohDnHzbdNojvHnzhqaphg0bcg8p7dFcXFyuX7/ObiEG6QUAVBZUtDb9/v37NKXTrpn7+9auXXvVqlUvX75MTk5mt0BoyQ1xSDYhDpU8mkGoF2eD3OQoDtHct3fv3mrVqnFz4vjx4wMDA9k6CUEc4iQkJBw+fNjBwUFZWVlPT2/y5Mk5R9BJBOIQKKZly5ZNmjSJ+5mbx7ifheEaU8QhDlc558wTb29vmkMsLS25M/Lphb9r166PHz+mpKRwNxCf9AIAKgsqTptOuTcoKOjQoUMtW7akPzftm8zNzakN4J5ptMOSwW0WDXFI0SAOlTBNTc1Hjx6xwQ/kIg4lJiZu3brVxsaG2+fNmTOHdoG0hK2WHMQhQZQ/acejpKSkoqKipqY2bNgwajXYuuJBHAIFlCf80DDPkh9xjSniEIda4YoVK549e/bIkSP16tWjR4964t9+++3EiRPCjqESkzxGC3msLKk2PSEh4fz58/369dPQ0KCnQePGjVu3bm1nZyfZt+04iEMgKYhDJYZSUIsWLdhACF9fXwcHB2ofb0oa7bGsra3HjRvHxoV3//79p0+f7tmzx9bWNrtz4FFHfu/evdOnT1M0GjVqFLud5Jw8eZIqDx8+nI0l58yZM7QjHzJkCBtLzrlz5ypVqjRo0CA2lpwLFy5QVKZHg5JnuXLl6PFXVVWdMmUK/VHoqXX79m12u8K7ePEiPev69u3LxpJz+fJlCuFTp05lz28AGRASEkIvH5qNBWVPaWwhu90PDh48SLMozR6ULiRr8eLFVlZWclHZ09Pzw4cPtKtavXo15R/ucdPX1580aRJNRO7u7h4eHvR/dusi4baZ9ixsLDmoLGjp0qWSqkx/dPLkyZPp06eXLVuWnhJKSkr169ffv38/PVV8fHy8vLyK+azgSHCb85BqZeoK6Ac2j4BsQBwqAVFRUbS3YINvaCHtV9jgGz8/P2pMR48eTR2qZO3du9fS0pJCCxsXxqVLl65evUqNOHcUhJmZ2YYNG+7evXvt2jVau2/fPppEhg4dyt1Ygg4cOFChQoU///yTjSXn8OHDFLQGDhzIxpJz9OhRiov9+/dnY8k5fvw4Tal9+vS5cuUKhZ9Tp07lXMe8cePGdI9oOf2l2K0Lg2Knvb19z5492VhyaCMpwknjcycAyeJeSmwgxJEjR2j2o/aUJj3JotnV1NRUxivTJEP/7927t7q6OvdwGRoaUuXz58+fPXuWpj7uZsXHbfOiRYvYWHJQWdCIESMkXpmeBpS9Z82apaWlRU8P7nlCunTpsnv3bnoFsdsVlTS2mSPVyhUrVqS4yOYRkA2IQz/Vq1ev2GTwg/bt27MbCZDNg+XevXvXuXNn2mZqBZYuXZrnwtkivoa1mHCwnCB62H+80PaFCxdq1qxJfxrKjZSXEhMT2YrCwMFyANmzMg6WE8rX13fGjBn6+vr0KFFvt2LFCnpd29nZFfbb5MTBbbM0Di5CZUFSPTzMwcHBx8cnODiY9lnclRspII0bN66YqUAeD2mTXmUoDsQhmSZrcSghIYE2pnT294UPGTLEy8uLrRCAOCToJ8chEhMTs2nTpjJlyigrKw8bNoyeQmyF2BCHAMQhqWjxI5mtnJmZ+eTJk549e1IvS3uBjh073r9/n3vb5dChQ1Jq8uQxWshj5Z8WAJKTkx89etSrVy8VFRUNDY1OnTrduHEjLS2NW1soiEMgKYhDMk2m4tCDBw+4Q+otLS2PHj1K0YityE3cOJTk9/rG7o3rx0+YOJZv2tRpuw+cfREo4itaxY1DyR/f3Nizaf34iVzl/035384DZ54HRLDV+RA3DqUGvL21d/OGCRMn5VTed/rZx69sdT7EjUOpge639m3ZOHHiZFZ5yva9J5/4h7PV+RAWhzjU7rRv357+WObm5tu2bUtNTWUrxIA4BCCOYkYLEWSwclxcHAWeJk2a0KxibGw8efJkd3d3ti6bmG16atjbB//t2LxlAbNl8/Z/H7wNEzVBobKg4lR+80XUZf3EbNMlWNnb25t2Ydy5r46Ojjt37qQ9JlsnHsQhkBTEIZkmI3EoOjp65syZBgYGWlpaw4cPDwsLYyvyU1AcSktwO752gH05TZ6KfnlLu9o1a2erVa16BRMDDR7PpG6XuZeehuSzPygoDmUkvD618Y+q5lo8FT1zC7ta3yvblDXU5PGManecfeHx53wqFxSHMhLentnyZ3ULLZ4yVa6cU7k6VTbSosq12s84+yA4n8oFxaHMRI/z24fWstLmKeuWKy9QuYatKb+yQQ3n/526H5TPnkZ0HOJs3bqVGhfuTdycC+AWCHEIQBxcY/rLxyGaHhcvXmxubk4zSaVKlWh/FBGRz5tLBbTp6ZHBl1eMb6Wnr6WubWBqWt6SKW9qaqCtrqWv23Ls8ktBkens5oJQWVCxKmvqiahcQJsutcoxMTF79+51cHBQUlIyMjKaMWNGQEAAW1cQxCGQFMQhmSYLccjHx6dbt240T9GOcP/+/RkZGWyFEKLiUOxHzwMDWlrylKv9MXb/a5+wpFxtfkZMhN/Tfxe0rmOkWarRuGX3YlNy/1Oi4lBcgPehP5yteEpV+rm4vvL5kvj9G+AIv/Lza4vb1jXW0G4wetHt6KTcU7aoOBQf7HNkcLsKPF7l3iP3vPzwJSGJrciWGRv58cWNpR0amKhr1R254FZkYu4P/EXFoYQQv+PDOtjylCr1GLbrxYfQPJXjogLcbi7v3MRUTdNp2NwbEfG5K4sTh8iLFy86dOhAfYy1tfWFCxfYUpEQhwDEwTWmv3Acoo7tzz//1NXVpQmkdevWV65cSUrKNUsJEtWmB989M722pa6SUbs5ay+5++Y5BiDKz/3S2nntjZVLW9SefubuD1djRmVBoiufm1lHVOXL60RUFtWmS6/yN2lpaTdu3OBOS9bW1u7bt+/jx4/ZOuEQh0BSEIdkWonHoevXrzs5OdH0RP2xOHMTER6HUkKerJtcUVen7JA5FwPi2cIffXqwoH19TZMK3XbfjEkVDETC41BK6PNNU+10dUwGTT/rJ7xyyONFnRppGVt13H4tKlfUEh6HUsNfb59eRV/H+Pcpp3zj2MIffXmyrFsTbUOLdlv+jUgWjFrC41DqV/dds6rq6xj1m3jsQyxb+KOwF6t7NS9lYO688eKXXCFOzDhEaBvGjRunpaVVtmzZVatWFRhoEYcAxME1pr9kHHrz5k2/fv1o5tfR0fn9999fvXrFVggnvE0Pe7qxTytV/XKNN5z/nOf9ohxpiZ//2djEXF+1Va8NT/IcfoDKggqorFaIyl/YQkZ4my69yvnw8PAYPnw4PfHo6de+fXvRjQfiEEgK4pBMK8E4lJmZuW3bNjMzM1VV1T///JNCDltREOFxKPLj9Tl/6BurtV65w014ssjKCjr9xwALLQvHFScikgU/PhIeh6ICb88fbGCs1mLZpufCkwVVODfkD2tN8xpLjub+YEp4HIoOfrB4mJGxarO/1z2NYcvy8/nCiME2GuWq/n0oNNcHU8LjUMznJ8tGGhurNp6/6rGo7ygMvTxmWEX1clXm7wuMF6wsfhwiqamp69ato78m7WCGDh1KW8VW5AdxCEAcXGP6i8Uh2jUMHDiQu3b24MGDxf9yZ+Ftuse1ac4OalVsZt16HyX0vZiMKJ/bc2yrqDm0nvpfnmuNobIg0ZWrqtmLXznXuV+i2nTpVRYqICDAxcVFTU2Nnoq9e/fOc6JaDsQhkBTEIZlWUnGIuufFixeXKVPGyMho/vz5KSmizpLMQ3gcSg55snaSrW4ps2FzLwfmfx0GvpBHCzs00DSp0HXXDfE/HXq2cUolXZ2yg2ec8xdeOfTJks6NtYwsO2y7Ku6nQylhbtum2evrlP1j6mk/4Rku7Nny7s20Dcu33XylEJ8O7ZzpoK9jPGDyCR/hlcNfru3dopSBeasN/3xJLNqnQzkuXrxYu3ZtJSWlzp07+/j4sKU/QBwCEAfXmP4ycYjmhDFjxnCXjKMG9OXLl2yFeIS36cH3V3RrqFzWovO+219TMtnCPDJTvt7d39WyrHLDrsvu5TnYCpUFia7cSNlE/MpBbCEjvE2XXuUCeHp6/vHHH/SEJKNGjfL29mYrvkEcAklBHJJpJRKHqBtetWqVgYFBqVKl6Ae2VGwizx3yf+fat7k5T7n64AmHPfy/5vrwJyuDfx7O9ewzfLQajF58JyY59/tQos4div3otX9ASwueksPv4w6+9Q/PfVZS9nk4t5Z3bGCioVVv1IKbUYU5dyjoffZZSTy7/qP3v/EPz31WUmZcdODrOys7NzJV13QcPvdGRELuIwmEx6GsrITPvkcHt7PmKVXuPdL1tV9Y7spZ8dHBb++u7tasnJpGnSGzrn6Ny125CHGI3Lp1y87OjnYtffr0EfaFD4hDAOLgGtNfIA6Fh4fPnTvX0NBQRUWldevWDx8+ZCsKQ3ibnpX1/szuwea6pfRtR+w/9yYiJs9FZ1JjIt6cOzCyYhkdXfPBu0/n7XhRORfRlfcOKS+q8tvzIiqLatOlV1kM7u7u3FW51dTUxo4dGxoaylYgDoHkIA7JtJ8fh6gVpoXq6uoaGho7d+5MTs7dootBVBziS4sLOLJqWKWyqjyVMlYVqtarW68+X93adSqZGfGv/1anw8wLjz7lmW75RMUhvvT4gGPrRtmbUmV9S+uq9ZwEKhtTZYMa7aaffRCczyddouIQX0Z84MmNYxzKqfGU9S2sHep+q1ynTuVyJlo8XplqzlNP3QvMp7KoOMSXkRB0esu4auXVeUp6FlYClR0rm5to83j6Di0nH78TkM9foWhxKCMj49mzZ9WrV6dE9Pvvv9MTjK0QgDgEIA6uMZXrOBQREbFmzRruSsdNmza9ceMGt7wIRLXpNPMkBrw5N7I7/+s3NQ0rN2rcpgvTpnHjykaaSjyebdcR294EJOZzLBYqCxJdOVNkZf4Hf8Iri27TpVdZTPfv3+/YsSP9O2XLlp0zZ87nz59pIeIQSArikEz7yXGIutUVK1bQdGNgYHD48GHuy/UKq6A49E2iz8v/tq1ZNcpl9Ai+SRMmbdt76ulHEd8OVFAc+ibJ99XVHWtXjxqdU3nrnhMiv8OnoDj0TYr/62s71692GT0mu/LE8RO37D7+2E/EdccLikPfpHx8c33X+rWjR49llSds3nn0oW+eE1IFFS0OkczMTA8PD+77Q3r27Ek7FVrC1mVDHAIQB9eYyl0csrOz8/T0pJ+PHTvGvTNCc9SFCxcKvMiKaKLb9G8SI7z+O7Zt/EgX1kt3cRk5buvR/7wiROxsUFlQcSr/6/lVRGXx2nTpVRbLtWvXaMdHT1obG5t//vnH1dXV3t5e/K+REB/ikKJBHJJpPzkO0VBfX9/MzGzbtm3UubKlhSRuHCo8ceNQ4YkbhwpP3DhUeEWOQ5wHDx40a9aMdioDBgygjWRLsyEOAYiDa0zlKw5RK0b7lEuXLtHLUF1dnWb7FStWxMSIuk6MmMRr04sClQVJr7K8BADaj2zdutXKykpDQ0NHR6dixYoiToUtMsQhRYM4JNPev39Pu679+/ezseRER0dTtNi9ezcbZ2U9fvzYyclJU1Nz2rRpbFGR0FRVs2ZNaUS4pKQkihbr169nY8lJS0uj+7569Wo2lpzMzMx69eotX76cjSWqYcOGixcvZoPCO3/+vLW1NQXgTZs2sUXfNGnSRBoRjjRv3nz8+PFsACDPXF1daX7+9OkTG0vO6dOnpVT51q1bampqKioq2traw4YN4444kghumwPFvgap+FBZkPQqnz17Vo4qh4WFUaSnOKSnp0f7bhHfiFU0Un00KA65ubmxMcgGxCGZRi/FqlWrmpubU8CQLHqdU/LhKteqVcvW1lZZWZnH45mamjo6OnK3KRoHBweqbGZmxsaSI73K9CBraWnRfWdjyeEqly1blo0lp1q1atTQmJiYsHHhUbasWLEi/dG5v3v16tW55fRDMSsLQ5VLlSq1YMEC9vwGkGdnzpyhGcnKyoqaG8mi16O6urpkK9vZ2RkZGdE8TwwMDCpUqMAt5NYWnzS2mYPKglCZwz11uW+P4NCzulKlSpJ6Skv10aCO6/3792weAdmAOCTTuE+H9uzZw8aSEx4eTr3pjh076OeEhITZs2fr6elRh33x4kXuBkUWGRlZo0aNHy/SUHwxMTGU3NasWcPGkpOYmEghcMWKFWwsOSkpKXXr1l2yZAkbS056enqDBg0WLlzIxkXi7+/ft29faunatWsn+Nl948aN6SnBBhLVtGnTCRMmsAGAPOPOWwgICGBjyTl58iTN/JKtvG3bNhsbG+oaLS0thX2LS3Fw20xTChtLDioLkl5l7nMn+ar833//GRoatmrVytzcnKKLBA/xkOqjQaEInw7JGsQhmSbtc4c2btxIP//777/a2tq0m9y6dSu3tjgCce6QAJk9dyjHixcvaC9Cf33KP9zxBnFxcTh3CKBA3FkcMn7uUGpq6oMHD+rXr0+vcWdn586dO1NlLy8vtlpycB6OIHmsLI9ny+zfv586GW9v73v37nFPchpevXq1UF+WmC+cO6RoEIdkmlTjEIWWHTt2REREDBkyRENDg/aU1Bmz1cUgdhzKTE+Jj4uLiIykTYiIiIqMik/I83VAeYgdh/KrnCbku+OyiR2HqHJCXFyk+JXFj0MZuStHxickiqwsqThEWzht2rTSpUvTI8B9NpiYmIg4BFAgrjGV5TiUmZm5e/du7t2umTNn0kv76NGjYlfOzMjMYOhHtlCowrTpqCxIVioXpk2XrcrcleWio6MXLlxIT3XqZzZs2JCQIPwr2cWAOKRoEIdkmlTjUPXq1elleenSJdpZ6ujoHDlypPhvqJCC41BauPuVlbMHNa5hoUQzlwBNg6rNO8zYetItLN9vOyo4DqV99by6Zu7gJjUtVFhJRqOMQ/N2/9t0/GVovpULjkPpEV7X1s0b0rS2pSoryajrV2nabuqGI89D8j2Rs+A4lBH5/saGBcOa1bFSYyUZVV37xm3/Wnfw6ad8L2AqqThEDdP79++pFP2TI0eOpCX0NEAcAigQ15jKbBwKCQkZP348va5NTEz2799Prz5aWHDlaJ8HZ2ZP7l3PziR7HsphXLle78mzzzzwiWY3zKPgNj3a59GZOSIqf0BlItXKvSaJqFxwmy7zlSnwnzx50tzcnH512LBhxbkQgvRCi/QqQ3EgDsk06cWhjx8/UhyaMGEC9abKysrt2rWT1DGyouJQenKc78lVXUxM1Y3Nmw+evf/h8+9frJOY6nXpxLLBrexKa2o5Np129nVM3jeGRMWhjJR4/7Nru5uVUzMq13TQrH33n37/3urkNO8rJ1cMa+NQWlOzduOpp19G5/16DVFxKCMlMfD8+p7m5qqGZk0Gztx790kIW0PBIe3Dv2dWDm9XVVdLs0b9ySefRWfk/gofkXEoIzUp6OKmPpYWagZlGw2Yvvv2o+/XkUrN8Ll2dvWoDtX1SmlUqzvh2JOo9DyVJRWHSFpa2pw5czQ0NKpWrXrnzp3IyMhmzZohDgGIxjWmshmHPD0927ZtS01hgwYN7t27l/PdYqIqpyX4XVsyrjqvdCljh24Tl5x55/k1nfnq+e7M0ondHIxLleZVH7fkml9CGvulHKLa9JzK2kYiKitVHYPKxaz88fpSwcrvclee1F1UZVFtulxVdnNza9GiBT35mzRp8vLlS7a0kBCHFA3ikEyTXhwKDg6maMGxtLSkGbaYnyznEBGHYrxPbGyjr8+r1WHVPW9h3/iXcHnHb5UNlO1rT73mmfv7rUXEodgPp7e0NyjDq9FmyU1PYZUTr+7ubWekVLnGxCvuCbkOyxMRh+L8LmzvZGTIq9Zq4XUPYcfyJd3Y29/BRMnWYdzFN3G5JmwRcSg+4NKursaGvCrN5/73Vmjl2wcHVTdVsrF3ufAiOpUtzCbBOEQeP35M+w8KxtOnT6e/YOvWrRGHAETjGlNZi0NpaWn//vsvd9HIvn375rkeg/DKyUHn/xpixtMw7DvtXngsW5hHbPi9aX0NNXhmQyadC8zzSbvwNv175al3w0RU7meEypyiVx5mLrpynIjKwtt0+ascGho6bNgweglYWFicOnWqCJfhRhxSNIhDMk16cYiLFmpqaqqqqk5OThK85qPwOBT58drsgXrGam1W7Xwt6jteg88O+t1S06LO8uNfkwXnPuFxKCrw1rw/yxirtVq++UUcW5afzxeGDrLWMK+++MiXJMHKwuNQdPD9RUMNjVVbLF7/TMhcnS3k4sihNurlHBYeDEkUnHeFx6GYz4+XjjAyVm2ycPUTUd+B+OXK2BGV1Mzs57kGxgtWlmwcSk1NHTt2LO08mjdvzr2vjDgEIBrXmMpUHIqNjV29ejXN6urq6kuWLAkPD2crvhFe2ePq/5wdVKvYzLrlGyXsLaWsjCjfW7Nsqqg6tJ7yrwdbxghv079X/iCy8u05tqjMKXLlqqr24lfOc3lB4W26PFbmvxY2btyopaVF+7VFixbRHpOtEA/ikKJBHJJp0otDISEhFC1omlBSUurfv39iYr7npxSF8DgUHXBz/mBDQ/XGi7Y8F3IgMF+m/+EBvcxKWTRYfToiWfBkJuFxKCbo7t/DjA3VGyxY90jElJcZcGxQX3Ntc8flJ8KSBCsLj0Oxnx4tG1nWSK3enFUPItmyfGQGnhw6wEKrXK0lR0MTBYOW8DgUF/Js5WhTIzXHmcvuRbBl+cgMPjvqDytNs+p/HwyKF6ws2ThENm3apKKiQs+3Y8eO1a9fX4KVcyAOwa+Ea0xlJw6FhoaOHj2aXsVmZmanTp1KS/vh0CJRlT2vz2hTVdWuwtTr70U1pu+vT61gp1rVedpVT7aMEd6mf6/sJbLyjWk2qMwpcuVqqpXFr/yOLWOEt+nyWJkvPT39ypUr1tbW1OcMGjTI19eXrRAD4pCiQRySaT8hDllaWq5duzY1NdeBWMUh4mC5lOBbZ4ZZGPMMKow+cvUrW5iX55qp9UsrlW7Ybr17SGqu02VEHCyX8unuuRHWpkr6lsP2/Zv3/dBv3m+c3qi0sk69VqvcPiXnqiziYLnU0IcXR9uUU9YzH7znUhhbmNeHLbOa6qmUcmy+4mVQUq45XcTBcqlfnl4ZV8lcWbfcwJ0Xvp9DlZvPjvmt9FW1azdZ8tw/IVdliceh69evN2jQoFy5ctRRWVlZzZ8/n62QHMQhkGXUOdGUyHFxcWFLheMaUxmJQ+Hh4b1796Ytr1ev3tOnT3NOFspDeOW08Gtzx1fmKem2GXwhWMj0/DX4wuA2ukq8yuNnXw3PE7aEt+nfKw86HySicltUZopeeaKd6MoRIioLb9PlsTJDLwQ3N7eGDRvSS6Njx45BQUFsRUEQhxQN4pBMk2ocql69Ok0QTZo0uXbtmrB9ZxGIiEMkI/nDneUdWxnzeFpl6wxYuPzw/dsPHvLdufTvpknDWpjzlNR07EZNP+794+F0IuIQyUz1u7eySxsTJZ6mce1+85ceuneLVb783+bJI1paKCmrlKo4YupRrx8PpxN1KQWS9vH+mu7tyyrxNIxq9Z27+ODdm6zylf+2TnFpbamsrFzKduikQ+9+POhN1KUUSHrgo/U9O5op8zQMavSevWj/nRv3syvf/ffa9mmj21irqihrWQ+asN/jx0/TJB6HaD8xZswYXV1daqd0dHQWL17MVkgO4hDIJno1aWpqskH2kB+JeLzBgwezRfnhGlNZiEPBwcHdunWjDW7evPm9e/fY0vyIrhz2cv+K9vomarwyNbsMW3P5ynNf5vmVy2uGd6lVhqdqot9qxf6X+bwzJLxN5xOrcstlqFzMyuGvDghWvpy7ctfaoiqLbtPlsXIOelG0atWKXiD0fz8/P7ZUJMQhRYM4VGImTZpEL84GDRrQrpct+sFPiENdunSR7O5cdBzKlh4X6fbg1JIp/apZ8a+H+U3Vuu0mrNr9wCsgNs8bQIzoOJQtIz7qzcMzy6b2q1GhPKvKV6Vum3Erd9x7FxCb/4dgBcQhvoyE6DePzq2YNqCWrQWrymfv2HrM8u133f1j8q9cQBzio8ruTy6smvF77Yr8b0P9xq5WC5elW2+/9YvJ/+rnEo9DtKlTp04tVaoU/fmoNVyyZAlbITmIQyBHuBciG+SHa0xLPA75+Pj07t1bSUmpfv36N2/eZEuFEKPyV1+3A9tm9G5VQ5l7BDhKNVr2nrntwEvfr3lOZv9GdJue7avfa1TOUQKVe83YKqKyGG26PFZmbt26xX1G5Ozs/O5dnmPu8oE4pGgQh0oAvSAF34lctmwZLWGD3H5CHOrTpw8FGLZUEsSIQ0UkRhwqIjHiUBGJEYeKSOJxKD09nf5qampqZcqUoSfG8uXL2QrJQRwCeZGUlESvApon2Tg/XGNasnHI19d34MCBtKlVq1Z9/PgxWyqctLdZGk0eKguSXmV5DACFqvzkyRNqTujF0q1bN+6bW0VAHFI0iEM/GwUhejWywTe05MeFhItDO3bsYGPJiYiI4OLQ8OHDJXjiEAkNDaXKa9euZWPJCQ8Pr1mzpjSCFkWL2rVrSyNoxcbGOjo6Lly4kI0lJzExsV69enPnzmVjSdi8eTPFIV1dXXpirF69mi2VnLS0tCZNmkyYMIGNAWQSl4XYQDhqTO3s7MR5p7mwqGESp3JwcPDgwYNpU2vVquXhkecKZPkTs3IRcJXd3fNc+ksCUFmQ9CofOnTol69ML5M6derQS6Z3795eXl5saX6kus2IQzIIcehno9chYYNvTE1NaaGrqysbfxMQEODg4FCjRo1ukta+fXuu67WxsenevTtbKglt27alylWrVmVjyWnXrh1VpgeEjSWHHg09PT17e3s2lpwOHTro6+vTrMrGktOxY0eqTLMqG0tC3bp1s5+efNL4C3bu3NnAwECyEQ5Asmg2uHLlChuIdOLECXo+9+/ff6yktW7dml7dIiqPHz9++vTp9evXp5eqqqpqq1atRo8ezdaJVGDlIuMq9+vXj40lB5UFSa+ys7PzL1+ZXib0ANJLhl44tWrVmjFjBr2U2LrcpLrNFStW9PTMc8lAKGGIQz9Vzhm6bPyNtbU1LfzxWl7cp0M7d+5kY8mJjIzkPh2iFydbJCFfvnyR0qdDX79+ldKnQ9HR0VL6dCguLs7JyUkah+ElJiZSMyTZw/AOHTqkpKSkoqJCTwxp/AXx6RDIMpqBf5yEX716xX76wb59+ypVqvTixYtkSdu9e7eIyikpKUFBQQMGDKBXa6NGjW7evElL2LqCiK5cHFzlZ8+esbHkoLIg6VXes2ePIlSmF8vt27dbtGhBu7kuXbr4+/vn+/KR6jbj0yEZhDj0s9ErkLDBN9zCH/e7Uj13iDuIdvDgwTExor4GtLBw7pAgOTp3iKxZs0ZNTU1PT4+eGDh3CBQHd8hZvtgt8sOdxfHzzx2iGXvr1q26urrGxsY/HlMgmrS3WRpNHioLkl7lA7/6uUOCjh07ZmFhUapUqWXLlkVE5PPVf/L4aEBxIA79bNu2baNd7K1bt9g4Gy0RvLhCjp9wKYVu3bpJ9jhyxCFBchSHYmNj586dS89Da2trFRUVaTzOiEPwK+Ea058fh/755x/ueierVq2Ki/vxiwNEkfY2S6PJQ2VB0qusUHEoJSVlx44dtKdTV1c/efJkRkbeL4FFHFI0iEMlgLIQ7cmSkpK4If384xEanJ8Qh5ydnR88eMCWSoI4cSg9+bPvk0MbpnVo0kC7VGkNPhMjkw49hq8+ftX/q5DrbIsVh9KTQ/2fHdk0vVOzhto6XGVjQ+N2vw1deexf3/CYtPy/XkmcOESVP744tnlGlxaNSunoZlc2MjBq233wiqNXfMKihVQWJw6lp3wJeHl868xuLZrolNZjlQ2duwxadvjShy/CKks8DoWHh0+ZMgUX2gYQE9eY/uQ4RNN1ixYtqIcbMGAA7SDYUrGJt81BXrd2LZvq3LSZNdOsqfOUpbtueYn4Dkvx2nRUFvSzK++86SmisnhtujxWzh/1KqNHj9bS0qJ99NWrV9nSbxCHFA3ikEyTahyiaEFxqHbt2idOnPjxrZEiKyAOZX5x3zGij6USj6di3mzIqAW7t+/Zy7dj7YZJv7WtrMHjaZdtPG/9zZAfN6igOPTVY5fLAGsVHk+pXJNBI+bv2sYqr984uWd7ey0eT8Okwey11z79mLYKikMRnnvH/mHDP/nStPEfw+ft/FZ5w8a/enWsos3jqRvVm7Hyv+Afr9BXUByK8to/4c+K6lS5bMPfh87ZsXV3duWdGzZP7dupaikeT83AceqyK0E/fveQxOMQdUi9e/c2NDTs1KmTkZGRND4rQxyCXwnXmP7MOETziYuLC00XNWvWLNqn+qK3OTXC7ebsNvX0eDxV40qthwybTFNXtsnDhraubExToF69NrNvukXkczFS0W06V7m+6MqzbqByMSunRbwWrDy0MJVFt+nyWLlA/v7+jRs3phfUgAEDgoOD2dJsiEOKBnFIpv2EOKSrqztt2rSUlPy/67MIRMShtNDHV6c4WGhoGfXfesyXLcwtI+HerGHVNXimzr33+EXk/mBERBxK//Ls+v+qWWtqGvRaf9iHLcwtM+nhvJG1NHgmLbvveB+ekquyiDiUHv7q1oyaNlqaer+tOfCeLcwj5fHfox01lYyaddnq9SU5V2URcSg94s3d2XUqamnodl2xz5stzCP16ZIJ9bWUDBt33PTuU1KuyhKPQ0ePHjU3N7exsVmxYkXVqlXnzJnDVkgO4hD8SrjG9KfFoYyMDHq9q6io2NvbX7hwoWiTtvBtzkx9tXtVx1KqOhXq/X3r2Zd8PpTO/PLs1t/1Kuioluq4ater1Dy3EN6mf69cd+FNEZVtUDlbcSqv6awjqnKYqMrC23R5rCyWtLS0mzdvcr3Q+PHjachWIA4pHsQhmSa9OPT58+eaNWvSFEBat24dHR3NVhSb8DgUG3j772EmBhqOc9Y/isxn2mNS3u/p09W4tEWTdecjUwTfDhIeh+KC7y8ZaWqgUWvmyntfhVdO9dk/4DcTHfP6q86EJwtWFh6H4j8/WTm6nIFGjf8tvR0u/BO0NN+Dg3qaapdzWn7yS6JgkyI8DiWEvlgzrryBRrW//r4ZJqLyx2PD+pTTNquz5OinBMHKEo9DCxYsoCcDPSvu3r3bsmXL6dOnsxWSgzgEvxKuMf05cSgpKenEiRM2Nja6urrF+eRW+Db7317YyVHZwmrgqRdRQo5Xpvko6sWpgVYWyo4dFtzyZ8sY4W3698rPIkVVPj3IGpU5Ra7spFxe/Mp+bBkjvE2Xx8qFsHbtWhMTE3Nz87179yYkJHALEYcUDeKQTJNeHOKiRdmyZY2NjR0cHG7cuCGp4+WEx6HIj9dmD9QzVmuzaufreLYsP8FnBw201LSos/z41+RktoxPeByKCrw1788yxmqtlm9+IerE4s8Xhv5prWFeffGRL0mClYXHoejg+4uGGhqrtli8/lksW5afkIsjh9qql3NYeDAkkZ0Tlk14HIr5/HjpCCNj1aYLVz8VdWW/L/+OHVFJzfXJC6cAAP/0SURBVMx+nmtgvGBlycYhegT69etHcWjAgAF+fn5t2rT53//+x9ZJDuIQ/Eq4xvTnxKHg4GDu0sB//vlnaGgoW1p4wrfZ4+r/nKuoVbGZfds3Sui+ICPK9/ZsG7pZ6yn/5vnaV+Ft+vfKH0RWvjPXFpU5Ra7soGYvfmV3towR3qbLY+VCiI6OHjt2LL24aGft68sOXEEcUjSIQzJNenGIQgtFi07Z9PX1Z8+eTY07W1c8wuNQZqT7/uWN9fRUmg/Y9jyQLfxB+oMjg2pbKNtWG33+VUI6W5hNeBzKjHp3eGVTfX3lJn02Pv7IFv4g4/HxIY5WyhXsh59+HpfrjSjhcSgz5v2JtS0MDJQb9Vj7MM/7Ut9lPDs1ol4FZavKQ048jcl1fLPwOJQZ63t6Q2tDA+X63Vbez//IQZLx4tzYRrbKlrZ/HHsQmevYGAnGoczMzJMnT9rb2xsaGm7duvXz588tW7ZEHAIQjWtMf0IcSkhI2Lt3r4GBgZGREfVS3MKiEb7NUa93D+qkpW1Sdf5+v1ghx+GlxPrtn1/VRFur08BdblFsISO8Tf9e2dVXVOUF1VCZU/TKnbW1ilxZeJsuj5UL5/Tp09bW1tQLrV27ljtYRnqhRXqVoTgQh2Sa9OLQx48fq1evvmHDho0bN/J4PAsLixcvXrB1xSPi3KGs1LiIl5unNtIqpVWpxoCFO66+98/1Gc2zOwfnD2taVle9gsOw3Tc+p2fmPu5NxLlDWanxkW7bpzctVVrTtlq/+dv/8/IV/CQl7Pm9Q3+PbGGmp25tP2Tn1U9peSqLOHcoKy0h+u3OWS1Kl1avULXPvG1X3vkksjV84S8fHFk8ulW5MuqWlQZtuxKcmpG7sohzh7LSEmM99s5traenblWl15ytlz3eC35mFuH28NjSMc7lDdXK2/6++VJQanruyhKMQ4mJib169aKnQZs2bags9V4UWhCHAETjGtOfEIdevnzZsGFDFRWVsWPH5jnhu7BEbXOEx+21HR31eKWq9x+35fKDAIETKbLS0gIeXN4yrn+NUjwDx45rb3v88E0twtt0wcp9RVUuUweVi1n5zvpOIipf2TpeRGVRbbo8Vi4M2vHNnj2bdoL29vZPnjyhJYhDigZxSKZJLw75+/tTaNm7d++bN28oCZQqVYraX8obbHUxiIpDjO+9k+MGNrMx16fJR5CKtpld1f4zN1zzi8rvBCBRcYjxe3h20qDmtuX538khSEXLtLJDn2lrr/rk+4G8qDjEfHx0fvLglhXLl1FiJRllTdNKDr2mrrryPiLXR1mMqDjEBDy5OHVo60oWBsqsJKOkUda2So+/ll/y+ppfZUnFoeTk5BMnTlSoUEFTU5P7q9GSBg0aIA4BiMY1ptKOQ+np6Zs2baIZQVdX98fLARdWQducFBN6fIVLdYeypbU1uYnoGw3t0uUcqg9bcfxljOB7TTlEtel8/MqrRtcQUfnYC1SWcmWzKiIqF9Smy2PlQrh792758uXp31y+fHlGRsbhw4clVTkPxCHZhDgk06Qah6pWrUqV6WW/bt06FRUVY2PjS5cusdXFIEYc4qTEff3o6/PKze0V39s3bz8GhcbmvW6MIDHiECclPiLA18dNsHKIyMpixCEOv7Kfr5vb6+zKFCU/BobE5L5KXW5ixCFOakJEYK7K/gGfY1KEHkwtuTgUEBDQrl07JSWlPn36vH/Pv3YehRbEIYACcY2p9OKQhwf/tJFbt27Vr1+/dOnSf/31VzE/GiLibnPCZz+POzdunmdu3rjt4fuZnWSev4La9G9QWZAsVRa3TZfHymIICwujPbWenp6Dg8OzZ89OnTplb28vkcp5IA7JJsQhmSbtOLRhwwb6mXpv+pnH440aNar4HxCJHYcKTew4VGhix6FCEzsOFZpE4lBCQoKrq6tOtt27d3MLY2NjEYcACsQ1ptKLQ9w3C82fP58m5woVKrx8+ZJbWxzS3mZpNHmoLEh6laXXpstLZW9vb64XWr58+f79+6n7ou6IrZMcxCHZhDgk03x8fOgFuXjxYsoYkvXgwQN6QS5YsIB+9vPz27p1q7GxsZKS0vTp0yl1cLcpmsePH9vZ2VGbzsaS8+zZM3o0aAvZWHKoz3BwcJgyZQobSw5NeRQOJ02axMaS4+7uXrNmzXHjxrFx4QUHBx87dqxcuXI0+48cOfL58+fccmrCKMK5uLhwQwny8vJydHScPHkye34DyDNqTCtVqkSzR4qk7d69m+Y6qkyTXoMGDbS1tSdMmPDlyxe2uhiosvS2mSrTNMLGkoPKgqRXee/evQpeOTw8fN68efr6+i1atOjWrRtVpj04Wyc5tM2IQzIIcUim+fv7U5veo0ePNZI2e/ZsU1PT7t27s/GaNX379tXT06NE1K5du5UrV7KlhTd37lyq3LlzZzaWHJqnzMzMOnbsyMaSQ7GQUkH79u3ZWHL+/vvv8uXLt2nTho0lh0KyhYVF69at2bjwhg8fbmJioqKi0rBhw4ULF65du5ZbvmTJEisrK9ofcEMJWrp0qbW19YwZM9jzG0CenThxokyZMjRzjpa0Vq1aGRoa9unTx8nJicfj0bw3YMCAsWPHstXFQJWp25PSNlNl2mY2lhxUFiS9yrQ3UfDKY8aMGTRokLm5Ob3oqBfS1dWl1x1bJzm0zRUrVvT09GTzCMgGxCGZxh0st3XrVjaWnI8fP1atWnXjxo1snH2I1O+//06zQP369X18fNjSwgsKCqpWrdqqVavYWHI+f/5co0aNZcuWsbHkhIWF1apVa9GiRWwsOREREXXq1Jk/fz4bS050dHTdunUp1rJxIaWkpEyePJn+3Pb29s+fP2dLs8XFxTVo0GDatGlsLDncNetwsBz8Gvbt22dnZ8cd0iZZBw4cqFmz5ps3b6h5ohdpp06dcr4dspiosvS2mSq7u+f5YhgJQGVB0qt86NAhVCZ9+/alFx2xtbX18xP6/RpFRtuMT4dkEOKQTPs55w7lePz4cZs2bZSVlVu1alXkRBSIc4cEyOa5Q+np6TNnztTS0rK0tNy+fXtyrm+7xblDAGLhzuKQxnk4XMO0d+/etm3b0oRML/PMPF8OUFTS22bpndOCyoKkV5mCFiqTxYsXGxkZURyqUKEC9WBsqeRI79GA4kAckmk/OQ6R27dv16xZkyaC9u3bF+0dF3HjUEbYR7fLZ09v3LR5Pd+O7TsuX3/oG5HvxTQ54sahzK8Br/89dyan8rYdl6498IkQ/LqgPMSOQxGBb/47f2YTq7x92/ZLV+9/+CribVux41Bk0Jur589u2ryFVd528b+778MFv4gojyLHobi4ONqeMmXKGBsbr127li0VgDgEIA6uMZVGtDh27Ji5ubmLiwvN0nZ2didPnmQrik3cbVaMa6mhsiBx23R5rFwYV65cadKkCXVB1tbWiEOKA3FIpv38OESePHlCeYbmgt69exdhT19QHMpM87t54K9mNc3UNEqVLk1duQH9R//XL6NfqpSWlmrVziO2PPCOyeet0ALjUNrH20emtaotrLJ9+6Gb7npF51O5wDiUHnD32Axnx3L8yjp5K2uq2rf9c/3td/l9pVGBcSg96MHJWe2czNU0tHV09PNU1lCt7DxwzQ2PyHwqFy0ORUZGrlixQktLS01NjZ5X+b7ljDgEIA6uMZVGHDp16hRNA46Ojvr6+t27d5dgT1bQNifHvDqxcniNaua62hq0ExCgoa1rXq3G8JUnXsXk+jT5m4LadH7l1SNqiqh8/CUqS7lyOQcRlQtq0+WxclGEhIQMHTqU/nErKyvEIcWBOCTTSiQOZWRk0AuVmniaDnr06FHYo+ZExaGE0I8XJvSw4ylbtOu1/PLDD1GxbEW2lM8fn53fNaq2rY6uYfu5u14npefu1UXFocQvgRcn967CUyrX+rcllx6+j4xhK7KlhHx8/s/esU6VSpc2aDNr28uE1Nz5QlQcSgoPvjK1X1UlJdOW3Rb988A7IpqtyJYaGvji0r7x9ex0S+m3nr75RXxK7q9MFRWHkiNCrs74vbqysmmzzgvP3/f+GsVWZEv7EvTqyoGJDavqaeu2nLrhWWxS7spFiEPR0dHLli1TUlJSV1d3dXVNTMz/AzPEIQBxcI2pNOLQuXPnVFVVs/tBnmQPtRW1zZHvbq/r5GTAK1W979hNl+5/TE1jK0ha2sf7lzaN7Vu9FM/AqdO62+8i2Iocotr0b5W1q/URVbmMIyoXs/Ld9Z0FK6eyFYRf+fJmUZVFtenyWLkYli9fTi89S0tLaZzvhDgkmxCHZFqJxCGSmZn58uXLNm3a0IxAOeHx48eUkdi6ggiPQ2lfXmyZUVW3tF6fySffR7KFP/pwbUrLGmrmFfsduB+XJvivCo9DaWFuO2bX0NPV7Tn+sKfwyr43pzvXUjOz6bn3TnSuQCQ8DqVFuO+dV1tfr3T30Qc8vrKFP/K/Pbudo3pZq+67bkbm+u5U4XEoPdJz/0LHMrqlu4zY+zacLfxRwL0Fneuql7XsvONqeJJg5cLGofDw8GHDhtEftHz58keOHKFkwlb8AHEIQBxcYyqNOHT+/HklJSWuIaPmiS2VBOHbHPV696DOWlrGVeft943N9534rKzkWN/986oaa2l1/mOXW663b0S16d8ru/qIqrygmgkqZyt65S7aRa8svE2Xx8rFcu7cORsbGyMjox07dkjqKiY5EIdkE+KQTCupOMShkODi4kK7ZGNj48OHD+c54V4Y4XEo8uP1OX/oG6s5r9zhFseW5Sfo9B8DLDUtHFeciEhOYcv4hMehqMDb8wcbGKu1XLbpea4PnPL4dG7IH9aa5jWWHP2SJFhZeByKDn6weJiRsWqzReue5vrAKY/PF0YMttEoV/XvQyGJgg+T8DgU8/nJspFUufGCVY9zfeCUR+jlMcMqqptVmb8vMF6wcqHi0Js3b1q2bEl/Sso59+/fZ0uFQBwCEAfXmEopDtGrlbRu3frmzZtsqSQI32aPq/9zrqJWxWb2bd/8jvvlZET53p5tQzdrPeVfD7aMEd6mf6/8QWTlO3NtUZlT5MoOavbiV87zwYfwNl0eKxfL06dP27Vrp6enN2PGjJCQELZUQhCHZBPikEwr2ThEIiMj169fr66uTjvmmTNnhoWFsRXCCY9DiZ8erBhjoadtM37pjRDBNJJb1Ks13VrqGFi13fJvdK5Dz4THoaTPj1ePt9LTth6z4N9PwitHv1nfw1lXv3zLDZcikgUrC49DSV9ebJhko69tNWrOpWDhcTD27aY+bfX0zJutvRCeJHDkg4g4lBz2evOUivpaFsNnXAgUUfnd9t876OuaNV59JiRRsLKYcYhC7NmzZy0sLOgv+Pvvv79//56tEA5xCEAcXGMq1TjUvXv3J0+esKWSIHyb/W8v7OSobGE18NSLKMGZJpe0qBenBlpZKDt2WHDLny1jhLfp3ys/ixRV+fQga1TmFLmyk3J58SvnuYa08DZdHisXi5ub22+//aajo+Pi4vLx40e2VEIQh2QT4pBMK/E4RNLT0y9dulSpUiVu31zgF1aIOHcoM9Lz+VrnWoY89ab/W3I9LCYpI/fJQanJ0YEeu/u3tVRTrTrgr4vhCbnPlhFx7lBmlPfL9e0cjXlqjSb9ffVLTFJ67jeaUlOig732/dHBWlW1St/x50Ljck+8os4divF5valjPRMllfrj5/8b+kPltJSYT+8PDO5ko6pi12vMmc8xAgc+E1HnDsX6u2/t0qCskkrd0XMuh8Qk/lA5NuTDoeHdK6qqVP5t1KlPUblznjhxKDo6ev78+UpKSioqKnTvaGPYCpEQhwDEwTWmUo1DI0eO9Pb2ZkslQfg2Z6a+2rWqQylVHZv6i24/y/eNr7BntxfVt9FRLdVh1c6XqXkuwyK8Tf9eud7ft0RUtkVlTjEqr+mkI7LycxGVhbfp8li5WPz8/IYPH66pqUmhSOJf0oU4JJsQh0oAt58TROGErctNFuIQx9fXt0+fPrSpRkZGK1asoI6ZrfiBqEsp8CWFvVg3o6OhBo+nXt6xfrv+fQf8ztf3tx5Nq9iU5vHUrJyG7Lvknc/RuqIupcCXHP5y45yuJppUw7xOvbbfKvfr0bOpg60uj6davs6fe/7xzOecGVFxiC/lq9vmeb+ZalONcrXrtunXJ6dys6oV9Xg8lXI1B+4855HPEYCi4hBfasTrbQt7litFNcxqOTn369Ofq9yzV/PqlfR5PGXTav23nXmbT+UC49CVK1e4r7R3cHC4ePGimMc6EsQhAHFwjalU49CUKVOCg4PZUkkQvc2pX91urHauW4bmI5PKzsOGT1nATBk+3NnORI3H063rPOuG29fc7/pkE96m83GV6xuIqtx6xnVULm7liKJXFt2my2PlIgsPD58xY4a6unrLli3d3NzYUglBHJJNiEM/m6mpKfvpG263l28ikp04xDl+/LilpSVtrbOz8927d9nS3AqKQ5zM5LBn1w7Onji+tXPbFnxdO3WdvWjTFTd/oR+YFxiHmJSvL64fmjt5fOs2XOUuHbvM/HvDpVe+wo+iKygOcTJTI17dPDzvrwnOrHLnjp1nLlz/z0sf4ZULikNMaqTbrSMLpkxq07Ydq9xx+rw1F55/EB5hRMShz58/T5o0SVtbW1dXl1KNiOyaL8QhUGS3bt1ydXVlA5G4xlSqcYgmpehoUecWFpZY25wZ6Hlz59K/WjduSvN9tqaNW/21ZOdNz8A8b84LEN2mM6gs6KdX3nHjnYjKYrXp8li58GJiYhYuXKiiolKzZs3Hjx+zpRKCOCSbEIdK3vz582m3l+/perIWhwj94qhRo9TV1UuXLj179uwfd9XixaGiEDMOFYF4cagoxIxDRSAsDp09e7ZChQr0jKJUde3atSJ8mT3iECggekHRq4ZePmyc/UbVlStX2CA/XGMq1Ti0detW8a/qKQ7pbbNYbXqRoLIg6VWWXpsuj5W3b99OL8CyZctK9lomBHFINiEOlTx6yd26dYsNcnv//j3Fof3797Ox5MTExNSsWXPPnj1sXEhPnjzp2rUrbbmlpeXmzZupzWUrsrISEhIoWkgjwiUnJ1O0KEKEK1B6erqTk9OaNWvYWKLq1au3fPlyNpCohg0bLl68mA2ysij8cN+lXb16dZpw2dIiadq0KaV0NpCo5s2bjx8/ng0AZAa9cPT19dkg26RJk0RMzsTV1dXe3j4gIICNJefGjRv0TxPBeCYRJ0+epH2KNLaZq5zvYQ7FhMqCpFf59OnTqJzjwoUL9ALU0dF58OABWyQhtM0UhyR+DB4UE+JQCaPXG/spP0FBQVWrVjU2NraVNCsrK3V1dSMjIzYujIoVK9KLuUKFCubm5np6enQXVFVVadYoX748NQfW1tZU2dDQkN1acqRaWUNDw8DAgI0lhx4lqlymTBk2lhyusomJCf05aMs1NTXpD0H/L1euHP1xK1WqRMvZTQvJxsaG6lBryMaSw1VeuHAhe34DyAaaAejlk+ctgJCQEFpI2PgHZ86coeczvdxoPpQsehVz/zTNsWyRhJiamtIsKo1tRmVBqCxIHivTS497DdKLkS2SENpm2htK9hIpUHyIQ9JCe9Y82IpvqN2MisrzlWJ5cZ8O7du3j40lh/7pGjVq7N69m42LKiEhgYpQm6usrNyqVas7d+7Ex8fXr19/8+bN7BaSk5iYWLt27fXr17Ox5KSmpjo5Oa1evZqNJScjI6NevXrLli1jY4lq0aJF165dKV1QKFJTUxszZoykLgnapEkTaRzgR5o1a4ZPh0DWcH3Pjx8EccvZ4Aeurq40P3/69ImNJef27dvcP33s2DG2SEK4d9Olsc1c5cDAQDaWHFQWJL3KZ8+eReUcx48fpxegoaHh8+fP2SIJoW2mUIRPh2QN4lAJqFWr1qtXr9jgm/bt27OfBMjguUP5io2NpSxhZWVF04eWlpaSklLxg9aPcO5QjqSkpIsXL9JfkB7w0qVLjxgxws8vz/cxFB3OHQJFQy9/einluYICTZK0kLDxD7izOKR67hDNq/RiZ0slQXrbLI9ny6CyIJw7lCMjI4O6I+pkKlasWOAXlxcWzh2STYhDP5W9vT23k/tRvtcykpc4xKFm99SpU9T9090xMjKaMGGCj48PWycJiEOEssr27du5r4EiY8aMoY1n6yQEcQgUEL2aNDU12SBb9+7daaGI76TnGlOpxqH58+dHRESwpZIgvW1GtBAkj5URh3JERkbOnTtXRUXF0dFRst+DTBCHZBPikEyTrzjEoZa3bt26ZcuW5U4r6ty587Fjxwo8LFAcCh6HHjx4MG7cOAMDA3pUnZ2d16xZQ6FIGtuMOASKiV5ZOZ/bcx8NichChGtMpRqHRo8eLdk3lQre5uSvvi8PbJvZu1UNZW4bOEo1Wvaeue3AS9+vQq7+X3CbnvzV7xUqf1MSlXvN2CqicsFtujxWLpKgoKCxY8dqamp26dLFw8ODLZUQxCHZhDgk0+QxDgUGBlavXn3dunUJCQnLli2ztrZWVlZWU1MbOHDgkydPinPghwLGofT09ICAgCVLlnCndero6AwaNOjRo0eZmZkULerVqyfia1iLDHEIQBxcYyrVONSnT58XL16wpZIgepvDXx1Y2bqMiQpPv2bnoasvXnpKu6BsTy9dWj2sc019nopJmdYrD7wKZ78gQHSbzlUuqyqycqvlqFzcym4HBStfzF25i8jKott0eaxcZD4+PkOGDNHW1v7zzz99fX3ZUglBHJJNiEMyjSYEeYxD1apVW7FiBRtnZT179uyvv/4yMjKivbutre348eOfPn3K1hWGQsWhkJAQ+utwF84mv/3227lz5wQ/ZKOfhX0NazEhDgGIg2tMpRqHOnXqJNnr/Arf5rSv1+ZOqMxT0nX+83zQV7Ywj69B5/901lXiVZ4w52p4nm/MFt6mf6886FygiMptUJkpeuWJ9kWvLLxNl8fKxUItSocOHUqXLk3tSlBQEFsqIYhDsglxSKbJbxz68WtYMzMzr1692qtXL1NTU9rN6+jojBo16sqVK6IPRxH0y8ehuLi4V69eLVmyhOZKeoi0tbXr169Pf/18Tx5AHAIoWVxjKtU4RDPApUuX2FJJEL7NntdntKmqWrnC1Gvvo4R+8WtG1PtrUytUVq3qPO2qJ1vGCG/Tv1f2Eln5+jQbVOYUuXI11UriV37HljHC23R5rFwsd+/ebdy4cZkyZajfiIyMZEslBHFINiEOybRfKQ7liI6OfvHiBfXx5cuXp/29rq4u7fLXrl1LaYfdQohfNQ5RSDh9+vRvv/1mYmJCD4i6unrfvn0vXrwYGhrKbpEfxCGAksU1plKKQ0pKSjQbaGpqbty4kS2VBOHb7HH1f84OqlVsZt3yFdWY+t6aZVNF1aH1lH/znFEhvE3/XvmDyMq359iiMqfIlauq2otf2Z0tY4S36fJYuVhcXV3ppWdqavrPP/9kZAjdsKJBHJJNiEMy7ZeMQ4J8fHy2bdvWtWtXbW1t2vfr6+v36NFj/fr19+/fT0hIYDf65leKQx4eHjQnjh492s7Oju44oQQyd+5c8a/piTgEULK4xlQacejMmTNaWlp6enrKyspjxoxJSUlhK4pN+DYnB56bPMSMp2HUb/r98Di2MI+48PvT+xlp8MyGTDwbmOfkduFt+vfK/7sXJqJyf1Rmil55aLmiVxbepstj5aJLT0+fNm0a7ZStrKwkfuIQQRySTYhDMu2Xj0M5UlNT/fz8Nm7c2KRJkzJlymhoaKioqFAdavcfPnxIcYXSUVBQEMUhwbOSJEV6cSguLs7JyWn69OmRkZFeXl47d+50dnam7Keqqqqjo0N/gsmTJz969CgpKSkzM5P9jngQhwBKFteYSiMOnThxwtjYuHPnzhYWFk2bNpXgN5+I2ua0eL+ri8dW55UuZVK1++Sl5zy9IjKYCC+vc8smd69qUqo0r9rYxVf94vOcwyGqTResbCyqssNoVC5mZf9rSwQre+au/NdvoiqLatPlsXJR0aujR48eFIesra2pB2NLJQdxSDYhDsk0xYlDgtLT02k+OnLkyOjRoytWrJj92QnPzMyMslCpUqX69+9/586dmJgYdmtJkHgcorvg5ua2a9euESNGGBkZUfjh7gVFoC5dumzevPnBgwdfvwo5cVQ8iEMAJYtrTKURh2j2s7Kymj9/fr169QwNDSW4CxBjmz/cPzdzUo+6lY25Sesb40p1e02aeer+h2h2uzxEtenMh4fnZomqLOTrGFBZULEq95woorIYbbo8Vi40V1dX6rvoH0ccUiiIQzJNMePQj/z8/Pbv3z98+HADAwNNTU0NDQ1uqrSxsenatevs2bMPHjx49+7dN2/eBAcHx8UJ+chdOC4OLVq0iI3Fk5SURL/o5eX18OHD06dPL1u2bMCAAZTZlJXZNyeUK1eOHgqKcP369Xv+/Hlqair7TUlAHAIoWVxjKo04RA0TTR3ctWdoJhk2bFiGhE5gKMQ2Z9K/mc7QjwV9ei1Gm/4NKguSmcqFaNPlsbLYaA+lrq5OrztqMBCHFAfikEzj4tC2bdvYWHIotFAc2rRpExtLzqdPn6pXr7569Wo2lpyYmJjatWvPmzfv69ev3t7ely5dWr58OZdAKHLQ5KWmpqavr29mZmZtbU3TjaOjY/v27YcMGUKZYePGjadOnbp//z7FkmfPnlFwCggI+Pz5M3e5grCwsDp16sycOTMtLY2WUKZ69+4d3Yxu/OjRo4sXL+7cuXPhwoUuLi7dunWjqEB/FJoozc3NuXjGjz7ZxxlTNpszZ86JEyfc3NyoSGJiIoUWJyenwgYtcVBoqVevHkVBNpachISEhg0bTps2jY0lhwJk48aNEYfg18A1ptKIQ1S5Zs2aVJle4DS3NG3aVFLnMEh1m6XU5KGyIOlVll6bLkeVqRlwdnamFx21E7a2tohDigNxSKZ9/PjRwcGhdevWUyRtxIgRhoaGrVq1YmPJGTlypJGRUbNmzdhYciiNGBsbU2dAP0+dOnX69OnUK8yfP5/CxuLFi2lJnz59KCGUL19eS0srO6FIkbKysomJSbVq1Shx0YYtWLBgyZIl9H+KQzNmzKCN4bZ57NixZcuWpXTBDSVo3Lhxpqam9evXZ2PJGT9+PEXKunXrsrHkTJgwoVy5ctL4RAvg5zty5Ai9UpYuXUr9jWTR/EzzGE0pw4YN09DQoFcNTSnUB7PVxUCVad6Q0jZTZdpmNpYcVBYkvcqjRo1S8Mr79++nPbiVlZWenh7t32nfvWLFCrZOcmibK1Wq5OGR55KBUMIQh2Qa9+nQ2rVr4yTN3d2dKq9cuZKNJcfT05MiHEUUNpac9+/fU/ygyMHGucVnS0hISExMTMqWLLbAwMCaNWvOmzePjQvC1ad/iNC/SP8u24gfBAQE1KpViwISG0tOcHBwnTp1pk6dysaSExISQllo4sSJbCw5oaGhlN8mTZrEnt8A8uzgwYPW1tanT59+LWk0f1aoUOHs2bMvXrzo2rUrj8erXbv21atX2epioMrU7Ulpm6nyyZMn2VhyUFmQ9CpTqFDwytevX2/WrBm93Hr37u3i4iKlVzdtM8UhaXxCC8WBOCTTcO6QoF/+a1gLBecOAZQs7rAl6R149u4d/zsn9+7dq6ura2hoePz48eTkPNcZLjRpbzN1e2wsOagsSHqVDyj2wXJpaWmXL18uW7ashobGsWPHzp07R92XfD0aUByIQzINcUgQ4pAgxCGAksU1ptKLFu7u/O+c9PX1HTp0qKqqqrOz85s3b7gbFJm0t1kaTR4qC5JeZQWPQ15eXt27d1dXV+/du3dISMjx48ft7Ozk69GA4kAckmmIQ4IQhwQhDgGULK4xlV60yKl88eJF7moxu3btyijeJebE2+bECK//jm0bP9KlC+MyctzWo/95RSSyG+RDvDYdlQX97Mr/en4VUVm8Nl0eK4vl6NGjampqKioqp06douHBgwclVTkPxCHZhDgk0xCHBCEOCUIcAihZXGP6E+LQx48fXVxcKBG1aNHiwYMH3MKiEb3NmYkBb3eO6laRx1PSNKzUsFHrTkzrRg0rGWoq8XgVu43a+TYgMZ/rH4tu07nKv1USVXnk9jeoXOzKgYKVG+auzL/EkPDKott0eawsvlevXnXv3l1LS6t///7Ud9ES6YUWxCHZhDgk0xCHBCEOCUIcAihZXGP6E+JQZmbmkydPzM3NlZSUFi9ezC0sGlHb/P7snsHl9UrrVxyx/+zrrzEpbDGTEvP19dn9Iyrql9YrP3jPGW+2OIeoNv1bZdvhriIql9HRReViVnYdaiGq8ptzIiqLatPlsXJhrF+/XkVFxdTU9L///uM+gEUcUjSIQzINcUgQ4pAgxCGAksU1pj8hDpGIiIgxY8ZoaGjQa/P27dtsaeEJ3+bg+yu6NVQ2sei87+7XlHzeh+fLTPl6d19nCxPlhl2X3QtmCxnhbfr3yrdFVt7fxRKVsxW9cqNiVBbepstj5UJ4/vx569at1dTU/vjjj7CwMG4h4pCiQRySaYhDghCHBCEOAZQsrjH9OXGIBAQEcF8Q2aNHD3r5s6WFJHybPa5Nc3ZQq2Iz65ZPlNDTkzKifG7Nsqmi5tB66n95vjZFeJv+vfJ7kZVvz7FFZU6RK1dVsxe/Mv9KHQKEt+nyWFlcCQkJAwcOpJdV48aNBb8LCHFI0SAOyTTEIUGIQ4IQhwBKFteY/rQ4RM6dO+fg4KClpfXXX39FR0ezpYUhfJvDnm7s00pVv1zjDf98TkxjC/NIS/z8z4bG5fRVW/Xa8IS9i/6N8Db9e+XzIitvbGKOytmKUVmtEJW/sIWM8DZdHiuLhXZ2tN/X1dW1sbHZv38/W5oNcUjRIA7JNMQhQYhDghCHAEoW15j+zDhEaNLW1tYuU6bMyZMnU1LynGlRMFHbHHz3zLRaFjrKxh3mr7/s4ZcnbUX7eVxeP7+DsbKuRa1pZ+4EscU5hLfp3ysbtZ8norJKaVQubuVzM2qLqnxlg4jKotp0eaxckNTUVO6LhtTV1ZcvX86WfoM4pGgQh0oYL9v8+fPZODfEIUGIQ4IQhwAkiF5Q3Gyc48qVK2ydEFxj+pPjEE0pM2fOpM0rX758EU4iKmCb0yOCXi0f06a0npq6toGZmaU1Y2lmZqCtrqlXusWY5ZeCItLZzQWJatNJduVxbXVFVF72DypLubKGrojKBbTp8lhZpMePHzs4ONBLady4cUFBeZMW4pCiQRwqMbdu3aKmk/5Pr0bEIXEgDglCHAKQlKNHj+YJP/b29jQzm5qasnF+uMb0J8ch4uHh0bp1axUVlW7duhW2qRJzm1PC3ty/sm3jJpq6sm3auO3K/TdfRH0YVUCb/g0qC/rJlV+LrCxmmy6PlX/k5+c3ZMgQJSUl2o2+fPmSLRWAOKRoEIdKhr6+fkhICP2AOCQ+xCFBiEMAUkUzM2GD/HCN6c+PQ+TFixcVK1akzZs0aVKhDpmT9jZLo8lDZUHSqyyPAaBoldPS0minTC8fCwuLO3fusKW5IQ4pGsShny0pKUlTU5MNxIhD9LKh0EKvXsmiyvb29mvWrGFjyfHz86MIR6GFjSUnICCAIhyFFjaWHApa1atXp/mRjSUnNDS0Zs2aFFrYWHLCw8MpaE2bNo2NJScyMpKC1l9//cXGkhMdHV2/fv3x48ez5zeArLpy5YroLERcXV1pFvX392djyTl+/HiBlU+dOmVra6ujo1Oo90TEqVw0XGVfX182lhxUFiS9yvSMUpDKS5Ys0dPTq1ChwtGjR9miH0h1m6mvc3NzY2OQDYhD0kK70jxo4eDBgydNmkQRKMe6detoFS2nnz09PbnfzREbG0tZaMKECSMkzcXFZfr06dKrPHHiRDaWnFGjRkm1Mv1p2FhyqDIlFvmqPHLkSKo8efJkNpYcrrKwd+MAZARNyy1atGAD4U6fPl2qVKk6deo0lTTqlrS0tERXbtmyZcOGDQ0NDWkPoqKi0qBBg+bNm7N1wolTuWhQWZA8Vrazs/u1Kzdr1qxRo0YaGhr0kjEwMKCXD72I2LofSHWbbW1tvb1/+E5ZKFGIQyWMUhC9MoV9OgQAAJLi7+9P862gH+deWsh+Koirqyt1Nh8+fGBjyTly5Ii9vb04lbds2UJNG4Wi9evXJyYmsqXCiV+5sLjK0mjyUFmQ9Cpznzv9wpXT0tL27t1ramqqqam5adMmtlQIqW4zZVocLCdrEIdKGOIQAIAsyDcIibiaAncWR4mcO5QjJSWFUhklItr4lStXRhX09azS3mZpNHmoLEh6lX/tc4fi4+O3bdumoqJCWYheMsnJyWyFEDh3SNEgDgEAgEKjLCEMu0V+uMa0ZOMQSUhI2L9/v5GREW3tggULRF9ZQdzK6QkxkcGBQb5MUGBwRExCflc6ziFum47KgmSpsrhtuhxWTktLW7VqFb1A6GVCWYheMmyFcIhDigZxSP5oamqK3knLghYtWvBbiWzt27dnS2UVdwYXt80izq2UKfL1COd49OgRbbA0zuQG+Mm4xrTE4xChCLRly5by5cvr6OjMnDmTLc1PQZUzUwMfHFvRs7OTpRF/PyNA09DSqXPPFcceBKZmshvnUlCbzq98QmTl+wFpqCzVyhaOnURULqhNl8fKzOLFi/X09MqVK0cvEzGvxIg4pGgQh+RJSEiIvr4+N0uwRbLH1dVVsDtPSkriNlg2DwjkNk8wAs2YMYOWsIFMkq9HWJCpqSltOW0q4hD8ArjGVBbiEGfz5s1GRka6urqTJk2KjIxkS3MTVTkx5PURl24WPC1Tx/aTNh55GhHBVpCIiKdHNk5q72iqxbPo5nLkdcgPb6+LatO/V64jqrJ5V1QuZuU3R0eLqLxpsqjKotp0eaycLS4ujvaMhoaGBgYG69atY0vFgDikaBCH5EaDBg0ePXpEP3C9L7dQXtAGi/5Cw5KS74OZ70IZRxssm48wh8ts9MPgwYPpB8Qh+AVwjansxCFy9uzZatWq0UusS5cu7u7ubKkA4ZXj3x916aOvomsxdtXrKCHXZEiMer1qrIWuin6fkUe849lCRnib/r3ySrdIEZXHWaIyp+iV+xkUvbLwNl0eK/O9f/9+wIABKioq1tbWhw4dysjIYCvEgDikaBCH5INgd04/Cw5lH+2hZXODuetY/Lht3MICT0qWHTL7CHMoArm6uub8TJuKOAS/AK4xlak4RDw8PNq2bUuvsurVq1++fJkt/UZ4ZY+rU52rqDrYzLnjFy20a8yI9rszx8ZBtUrrv/71YMsY4W3698o+IivfnWeLypwiV6ZfEb9ynrgsvE2Xx8pZd+7cqVu3Lr0QGjVq9OLFC7ZUbIhDikaeumrFtG3btkmTJrFBNnp5EzaQeVeuXNHX12cDGUM9er4PJrdQXuKQLD/CJM/DizgEvwyuMZW1OEQiIiImTJigoaFhYmKyevXq9PTvZ6MLr/z+5px2NVRsrMdc8ogSevZ6epTHpTHWNio12s66/p4tY4S36d8rvxVZ+fK4CqjMKXLlmoWpnOca0sLbdDmrnJmZuX379goVKigrK9Me58uXL2xFYSAOKRrEIVmR05rnuHXr1vz589lACPbLJSHfDWbrvqGFSUlJbCCTuC1ng2/yXSibaDtl+RHmHklhfnzCAMgRrjGVwTjE2bp1q5WVlaam5siRIykgcQuFV86Ie7Bqdj0eT8ex0+53/vmebZ7i/253J0cdHq/e7JX34/K8mS+8Tf9eucMudxGVnVCZU4zKcxsoiaqc+lFEZeFtujxVjo2NnTp1aqlSpUxNTZcvXy74XkChIA4pGsQh+cO1kmwgq6ytrX/8BGDbtm3sJ5nBXThB8IMg7tJnZ8+eZWNZJS+PcB74dAh+GVxjKrNxiFy/fr1mzZr0inN2dn716hUt2b9/v4jKcf5XD7nY2arzeMY1Wo9et/7gP8zB9etGt65hwuOp2toNPHTVP479ggDhbTofV7mihqjKlQccROViVo73vyZYeV3uyjXLiqosuk2Xi8peXl5du3alJ3ylSpUuXLjALSwaxCFFgzgkf+ilTthA9uRc++5H7BYyhrIQbRvXoC9btkxmtzOH3D3CghCH4JfBNaayHIfIu3fv+vbtq6SkZGJicu7cuUOHDtnb24usnBwd9uC/3dOHdbUwob6cY2Ji0WXo9D3/PfgSnZzn/flvRLfp2ZJjwlE5RwlUnrb7XxGVxWjTZbSyhwf/BKsjR45YWVnR73Xo0IEL/8WBOKRoEIcAAAAKjWtMZTwOkZSUlF27dllYWKioqOjo6FSsWDEgIICtkxwx2vQiQmVB0qssjwHg8OHDdnZ2p0+fHj9+fHaAMtmwYYNEDiBHHFI0iEMAAACF5urqSq3Yhw8f2Fhyjhw5IvHKX758mTRpkq6ubpkyZdavXx8bG8tWSAi3zd7eec51lwBUFiS9yseOHZO7yleuXFFVVaUgRDl/+PDhfn5+bEWxSfXRQBySQYhDAAAAhXb69GlqwpycnJpJGvVhWlpakq3csmXLevXqGRkZ8Q9D4vEcHBw6d+7cpk2b5s2bs1sUD7fNjo6ObCw5qCxIepXt7e3lqLKzs3OnTp1q1arFPZ/plVi3bt1WrVqx1cUm1UfD1tZWGkELigNxCAAAoNBcXV2ps5HGiXDHjx+XUuXLly8bGhpST2ZiYmJgYLBgwYIiX3orD26bfX192VhyUFmQ9CqfPHlSjiqvXbvWwsKCgpC1tbU0PqGV6qNRuXJlNzc3NgbZgDgEAABQaNxZHLJ/7pAgquzg4ODu7v7q1asWLVpQN0k93z///FP8UCSPZ8ugsiB5OVvmzp07jo6O9NTt1KlTv3797Ozs3r17x9ZJDs4dUjSIQwAAAIXGNaZyF4eoMsUh+vnLly8rVqwwNjamzrJ58+a3b9/mblM08hgAUFmQ7AeA+/fvt2vXjp6u9KRdtGhRVFTUqVOnKA4p5qMBkoU4BAAAUGhcYyqPcUiwclhY2KxZswwNDanLpF7z8ePHbEUhFdymZybHhj28tnfm8G5WZU3pX8tmWtay27CZe689DIsp+qWlUVmQ8Moz9lwVUbngNl16lQvi4eHRt29f+te0tbVHjRr18eNHbrk8hhbEIdmEOAQAAFBoXGMq73GI4+vrO2bMGFVVVXV19T59+hThxAbRbXq8/7XDf9hXVOPxjKu3HLVm7f7zzP61a0e1qm7M/6pNu4GHrvnHs18QgMqCCqj8UVTlnC/Szbey6DZdepVF8/HxGTJkCD0tKQvRD3lO5kEcAklBHAIAACg0rjH9NeIQx9PTs2/fvmpq1PPyRo0aVajLFgtv0zPiH6yeU1+Jp1On/U53v2S2NJdkP49dHR11eEr156y8H5/nMwZUFiS68ryGIiun+IuoLLxNl15lUQICAsaPH08RXVlZuWfPnvlGdMQhkBTEIQAAgELjGtNfKQ5xaC11n5SISpUq5eLiIuZ3tgpv09/fnNO+poqN9ZhLb6KEXrAhPcr98rgKNio12866/p4tY1BZkOjKtVQqFLmy8DZdepXzFxYWNnfuXO6stjZt2jx8+JCt+AHiEEgK4hAAAEChcY3prxeHOHfu3OnQoQP1o6qqqgMGDCjwnCLhbbrH1anOVVQdbObc8YnO87HBdxnRfnfn2TqoVmn9178ebBmDyoJEV6ZfEb8y/3oaAoS36dKrnNfLly+HDh3KHRpHQYiehGyFEIhDICmIQwAAAIXGNaa/ahzieHp6jhgxQl9fn9rTJk2a/PPPP4mJiWxdbsLb9HjvI6P66KvoWYxb+Toy/1/OSox6s3q8pZ6Kfp+Rh73znH2CyoJEV+5bpuiVhbfp0qvMJCcnX7t2rVWrVvQ009LS6t+/v5hPUcQhkBTEIQAAgELjGtNfOw5xgoODV61aVaFCBepWK1WqRD9/+fKFrftGeJuelZUQ4nZ4VNdyPE1Txw5/bT76LCKSrSCRkc+ObZ7cwclMi2feZdRht5AEtiIHKgsSXfn1ERfByhFsBeFX3jKlo4jKotp0qVWOjIzcunVrlSpV6Kllamq6YMGCQn37MOIQSAriEAAAwHeenp7UnBE2FoJrTBUhDnGSkpJOnDjRtGlTemR0dHTGjx/PfX8RR1SbzpeZmnL/+OoenWpbGGpyj+43moYWjp1+W3b0XkBqJrtxLqgsqDiVy9fpIKJyQW26hCt/+PBh+vTpBgYGVMDJyWnPnj3x8Xk+VSoY4hBICuIQAAAAY21t7e/vz7V5bJEQXGOqOHGIk5aW9uzZs4EDB9Ljo6amRumIMhItP3jwoFhNXnpCTERQQCA1w9kCA4IiYhKEnp/PV1AA+AaVBRW+srhtelErc8+6lJSU8+fPt27dWkNDg55C3bt3v3//fmpqKnfLwkIcAklBHAIAAODLiUD8MIQ4JJKvr++SJUtq1KhBD1TZsmXt7OwqVapUqGtzi0ncAFB4qCxIem36qVOnrKysVq1aNX36dO48NHq2zJs37/37PJegKzTEIZAUxCEAAFB0M2bMWLduHRuIF4cOHjxobW195swZSheStXjxYmofZbyyu7u7h4cH/XD8+HFnZ2fuEStduvT48eMfPXpEYYmaXe4GxcRt8+nTp9lYclBZ0NKlSyVYmf709ASgp8GLFy8mTpzIPT1Iw4YNKdFxN6CnEHfjIpPsNguSauVKlSrRD2weAdmAOAQAAAohKipqfm63bt2i5dSlcTfIwbVubCDEkSNHzMzMqD2l9k6yhg8fbmpqKi+VKRaePHnyf//7n4GBQcuWLbm3/4mlpeXs2bOPHj1KN2A3LRJumxctWsTGkoPKgkaMGCGRyvTnpoS8cOFCW1tb7plAypYtu3Xr1vPnz586daqYzwdBktrmH0m1csWKFSkNsnkEZAPiEAAAKC5/f3+WjQRwPRz3M7vdD6izqVy5suDlBCRFTivb29t7e3vTzxSBnJ2ddXR06DF0cnJav37969evU1JSuFsWFrfN0ji4CJUFFf8groyMDOryt2zZ0qhRI/rTq6urN2vW7MyZM5s3b7azs5PG5yE4WA4kBXEIAAAgl+w0VMD+kWtMpdHkyW9lwSYvJCRk//79TZo0oUdSRUXFzMxswIAB165dK2wukl4AQGVBRW7TU1NT7927N3z4cAsLCzU1Nfpz161bd9u2bYGBgZmZ/EvNHRTzMhuFhzgEkoI4BAAAkIvoz4U4XGOKOMQR0abHxcVduHBh3LhxFStWzI6ZvPbt269du1bMzZBeAEBlQYVt0728vLZu3dqlSxdVVVX6m5YvX37YsGFnzpyJiopit/gGoUUQ4pBsQhwCAAAoNK4xRRziiNmmf/z4ceXKlY6OjtyhdIaGhhSTHj58GBERwX2S8CPpBQBUFiROmx4dHf306dMpU6aYmZnRn09bW7tGjRp///33hw8fhP35CEKLIMQh2YQ4BAAAUGhcY4o4xClsm/7p06dLly6NGjVKT0+PGutSpUrVrVuXhqdOnaKem90om/QCACoLEtamx8bG0l9q0qRJ9erV4741VVNTc9CgQWfPng0MDGQ3EgmhRRDikGxCHAIAACg0rjFFHOIUp0339fXdsmXLb7/9Zm9vT902MTExGTp06IkTJ96/f79x48acizRIlvSihTxWpja9SpUqPj4+9LOHh8fp06fHjBljYWHB/UUqVarUvXv3devWFeHLghBaBCEOySbEIQAAgEKTdrRQnDiUIyUlJSQk5Pbt2xMnTqxQoQJ14ZrZ9PX1Z8+e7eXlJeKIrCKQXrSQu8r0wB48eLBUqVK2trbW1tbcFRHKlSs3bty4a9euff78OTk5md208BBaBCEOySbEIQAAgEKTdrRQwDiUR2xsLPXiI0eO5E7W59jZ2fXq1WvhwoUnTpxwd3dPS0tjty48KUULIvuVvb29T506tWTJkt9//71q1arcY0vJs02bNosXL75y5UqeQxaLA6FFEOKQbEIcAgAAKDRpRwvEIQ61jxSB3NzcKPlQOpo+fXrz5s3Nzc11dXVVVFSoiS9Xrlzv3r23bdv2/PnzkJCQ+Ph49psFkd42y1TlhIQEeljoV/bu3du/f3966OhBU1JSKl26tJmZWYMGDSZPnvz06dN169bh24FyIA4pGsQhAACAQpN2tEAc4girHBYW9uLFi9OnT8+ZM6dNmzaamprZn3Dw01H9+vV79eo1bdo0CgAPHjygW7Lfye3nb3PxFVj569evDx8+pDtOd59SYqNGjSwtLblHhiJQkyZNZs2aRQ/akydPPn/+zH4nG74dSBDikKJBHAIAACg0rjFFHOKUYADIkZyc/OjRo/Xr1w8ZMqR169Y1a9Y0NTVVVlbmwoC6urqjo+OgQYOWL19+5swZuuXChQsrVar06tUr9vuSI71H4+jRo7a2ttevX/fx8bl37x4Fm5UrVw4fPpxiT+nSpbl7SoyNjatVq9aiRYuBAwfSDeiWiYmJrIQQiBaCEIcUDeIQAABAoclvaPlV41AeGRkZcXFxYWFhAQEBFH727t07ceJESghGRkYUGJSUlCgpqaioGBoaWlhYVKhQwcnJqXv37qNHj/7777/pxlevXqUH6uvXr2lpaZnZWF0xUMtrZ2fn7u7OxuLh/hX65+gfpd+lDXB1dV28eDFtEm1Y/fr1K1asaGBgQJtdqlQpLS0tLvlQCmrQoMGoUaO2bt16584df3//0NDQ2NjYwp5VhWghSB4rQ3EgDgEAABQatapVqlT59OkTG0vO6dOn5bSymF9EUyjSq0z5wdzcfO3atYcOHVq/fv28efNcXFx69uxJkal69epmZmbcBdYIZScTExN7e3uKTPXq1aP4Qbdp3759hw4devToMSDbH3/8MXbsWEpcc+fOpVWUssaMGbNgwYJJkyZNmDCBVg0aNIi7Jf0K/SLdplWrVg0bNqSCVJaK0z/BnQ1F6J+mDaDNoH+Ibj9ixIjZs2fTBtO/Qtt88OBBPz+/4lxG4kdnz56V0uOMyoKoMsUhNzc3NgbZgDgEAABQaGfOnNHU1LSysqLmRrJMTU3V1dVRmSPtyhUqVKDGl1AgIXZ2drSqUqVKFStWtM1mk41uRqzzQ9uWB2UhLs9YWlqyRQLYr+XG1ef+Le7fpQ2gzaCNoU0itG20keXKleO2mVuYfT8kA88NQVKtTH/cInx9E0gV4hAAAEChubq6UocqjfePT548SY2vPFb29/dnY8lBZUHSq8x9CofKHKlWplCET4dkDeIQAABAoeHcIUEyeO5QgVBZEM7DEYRzhxQN4hAAAEChcY0p4hBHHgMAKgtCtBCEOKRoEIcAAAAKjWtMEYc48hgAUFkQooUgxCFFgzgEAABQaFxjijjEkccAgMqCEC0EIQ4pGsQhAACAQuMaU8QhjjwGAFQWhGghCHFI0SAOAQAAFBrXmCIOceQxAKCyIEQLQYhDigZxCAAAoNC4xhRxiCOPAQCVBSFaCEIcUjSIQwAAALnMnz+fx+O1aNHC1dWVLfoB15giDnHkMQCgsiBEC0GIQ4oGcQgAAICve/fulILE/O5FrjFFHOLIYwBAZUGIFoIQhxQN4hAAACi6pKQkCkKamppsLAauMUUc4shjAEBlQYgWghCHFA3iEAAAKDrKQiQkJIT7gejr67N1QnCNKeIQRx4DACoLQrQQhDikaBCHAABAoXHHyA0ePJiNs2lqatLCSZMmsfEPqDG1s7N79+4dG0sONUxyWtnd3Z2NJQeVBUmv8qFDh1A5h1QrIw7JIMQhAABQCP7+/tkf/Hw3f/58Wt6gQQP6ed26ddzNcnC3YYMfUGNKa3v37j1W0ho3biynlXv16sXGkoPKgqRXuUmTJqicQ6qVDQwMpPEJLRQH4hAAACg6an0IG3xDS0R8OpSZmZmWlpaSkpIsaVQTlXOgsiBUFiSnldPT09kkAjIDcQgAAIB/dFzOpRS4KyuEhIRwQwAA+IUhDgEAAAAAgIJCHAIAAAAAAAWFOAQAAFAsR48e5eV3MQZZNn/+fNrmFi1asLFMioqKoo3Mg62TSZqamv369eN+pk2Vl6eE3D3OOeTiaZyHPE4XvzzEIQAAgCKi3pc6m0ePHrGxnKBt5s6PkuU+knr0V69esUG2nGsDsrEs4R7PPJdrl9mtFSRfj7Mg2kLZfxoLktPpQhEgDgEAABQFv2GUkzfRc1Cna2pqyv1MGy9fb6sTmX3M890wenhp4dGjR9lYfuR7d2SHPD6NZfwhVXD4wwAAABQadWNcf+Pq6krDV69ecUPuu4xkk729vaenJxvITx+Zg3uQ2UDGZP/x827b4MGDaWGtWrXYWE7I8uNM5PFpLI/ThUJBHAIAACg0rpthg2+4hWfPnmVjWZLv1spRHKLGsXv37mwge7L/8nkfYe7gqDxH0Mk42X+c2U/f0BLZfxrznxxyNV0omrx/GwAAAMhBzQo1iIK45VwrExUVxQ05rq6utLBkT5LOd4Otra25Dc4XreV+t6SwDf0mzwOYlJSU85VQMot7+582lY2zcQ8vG8g82X+cZfxpLAK3hTI4XQAHcQgAAKAoqJXJ0z7WqlVL9hv3HLT9cvG2OvtJQL4LSxxtleCGcWf537p1i41lm+CW58h3oayhjZSLDzlpO+V6uvi1ycETHQAAQDZxVyi2/oYtlRMy3kfS5gnDbiF7QkJCaPPomUD/584SkX3Zj2j+2C1kG22nvBzzKdfTxa8NcQgAAAAAABQU4hAAAAAAACgoxCEAAAAAAFBQiEMAAAAAAKCgEIcAAAAAAEBBIQ4BAAAAAICCQhwCAAAAAAAFhTgEAAAAAAAKCnEIAAAAAAAUFOIQAAAAAAAoKMQhAAAAAABQUIhDAAAAAACgoBCHAAAAAABAQSEOAQAAAACAgkIcAgAAAAAABYU4BAAAAAAACgpxCAAAAAAAFBTiEAAAAAAAKCjEIQAAAAAAUFCIQwAAAAAAoKAQhwAAAAAAQEEhDgEAAAAAgIJCHAIAAAAAAAWFOAQAAAAAAAoKcQgAAAAAABQU4hAAAAAAACgoxCEAAAAAAFBQiEMAAAAAAKCgEIcAAAAAAEBBIQ4BAAAAAICCQhwCAAAAAAAFhTgEAAAAAAAKCnEIAAAAAAAUFOIQAAAAAAAoKMQhAAAAAABQUIhDAAAAAACgoBCHAAAAAABAQSEOAQAAAACAgkIcAgAAAAAABYU4BAAAAAAACgpxCAAAAAAAFBTiEAAAAAAAKCjEIQAAAAAAUFCIQwAAAAAAoKAQhwAAAAAAQEEhDgEAAAAAgIJCHAIAAAAAAAWFOAQAAAAAAAoKcQgAAAAAABQU4hAAAAAAACgoxCEAAAAAAFBQiEMAAAAAAKCgEIcAAAAAAEBBIQ4BAAAAAICCQhwCAAAAAAAFhTgEAAAAAAAKCnEIAAAAAAAUFOIQAAAAAAAoKMQhAAAAAABQUIhDAAAAAACgoBCHAAAAAABAQSEOAQAAAACAgkIcAgAAAAAABYU4BAAAAAAACgpxCAAAAAAAFBTiEAAAAAAAKCjEIQAAAAAAUFCIQwAAAAAAoKAQhwAAAAAAQEEhDgEAAAAAgIJCHAIAAAAAAAWFOAQAAAAAAAoKcQgAAAAAABQU4hAAAAAAACgoxCEAAAAAAFBQiEMAAAAAAKCgEIcAAAAAAEBBIQ4BAAAAAICCQhwCAAAAAAAFhTgEAAAAAAAKCnEIAAAAAAAUFOIQAAAAAAAoKMQhAAAAAABQUIhDAAAAAACgoBCHAAAAAABAQSEOAQAAAACAgkIcAgAAAAAABYU4BAAAAAAACgpxCAAAAAAAFBTiEAAAAAAAKCjEIQAAAAAAUFCIQwAAAAAAoKAQhwAAAAAAQEEhDgEAAAAAgIJCHAIAAAAAAAWFOAQAAAAAAAoKcQgAAAAAABQU4hAAAAAAACgoxCEAAAAAAFBQiEMAAAAAAKCgEIcAAAAAAEBBIQ4BAAAAAICCQhwCAAAAAAAFhTgEAAAAAAAKCnEIAAAAAAAUFOIQAAAAAAAoKMQhAAAAAABQUIhDAAAAAACgoBCHAAAAAABAQSEOAQAAAACAgkIcAgAAAAAABYU4BAAAAAAACgpxCAAAAAAAFBTiEAAAAAAAKCjEIQAAAAAAUFCIQwAAAAAAoKAQh/KTHu5799zRJQuWjxk1dhRn6ripe7ZceOWdmMq/wScP77sPXnxNT8i+uRxJS/B7tm/ewrEuo8dNmjx95pxss6ZN/mvsqNHsnhKXadNmr92xd+/F649efIzJZL8rqzLjA72fnzqxecG88aNHjxk/efM1P/9Etg4AoORF+b66cHjfvFl/jx/7zcJpS04df+Ifkb0+zf3x62fu7xKzZH26/UGM/92LK8dNHTth4tTpM+fOX0Dmz5tD+5TxY8exe0o/TFi8eOWWwydO3Xjs7RuVxn5VhqTEB35yd3909sLxJQv3bTt8wy8jIYOtEi4twu2W65KFE/h3ccLCJbtuuYWlsFUAIGcQh3JLj/B7cfHg0vGD2rZrV71TP8cWbVpwOrftPPzPyVNmLV7qemTnzikjpgyZu9UrhduTyZHU2Hc3lg0c7Ny4oUN5EyUeo2lmUqN5A3ZPSaPf2tfu0rla5Za1W3Z1mb/x2Pl7AZ9jWQVZkp7o9fD+sVVzh43sUrdznRr17evXc2zbedrxd+/i2S0AAEpSjP/rmwc2Te3/W5MOnau2692g2Tc9OvZ2GTlj1tJ16w4f37zujwFT5+0/E5lVcBMuYyI8zu0d2aJjszo1y+tqsj0Kj2dkb1OvWRN2T5s1b+bYt2OtZh0c7Fq26jd07rojt+65xyTJxl1NCPJ+cev4nkPL14zt16NGdVsez7Zii8n/pYWnsxvkL9HX79LaGf36VazVoQ7/Ljp2qFW3b9+Fm6/5fmG3AAB5gjiUIy0zxvfdqRUjmxqaGpSr0NJl7nYvP//Ub+JT4x68PD15TGObcnrKPJ6GVeNpOz6kyWHXnZmRnpaWGvP1wfYVHStye65yPZcvfZ78hd1TEpkcevn6wT979zA3L6OuzDMyrTZp9k639xEy9KZeRvyXz7eP7+zbsLq6cRnTlo7dFyw4/N+Dz5/8UlMTMzLl7h1WAPjlJKaEvr6x2aVzFQ0jM6s6vVZsP/X565fkb74khJy9uLJfFxuj7BhRrunoA9fkdI+SQnfH993ucb3tdfl7FG1TpznXTgUmx3N3lM/3q/uO7UudG9Q3NNCgHWj1uj22HrgZEiYDH+N/uXl85/Q/Bk0bN6m/fR1jNdq4MrU6Tb+eHik0DmVmJQV9OT5ujJ1Babvffzvo7cu/g/7eB6f3r1TR2tFl5b3ISHZLAJAbiEPfRNx/sbpHh7L6pdQqtpt5+IJ/aETePVNaRsLnT+8PLB5ZUZ/HM3Gass1LHuPQN9H3byxw5t7Mc5xw6HwYW/xNampCyKf3F05M7lCLH/+0S1do7rTg2tsw0e+Y/SyZX55vHzWksomRtlmp2tP+t+e1W2BEZFIaUhAAyIoPR0+PbexgWErfuMWIvXcfBUXF5j2UKjHpq7fbrfl/NtVU5unUGbrvWhxbIZc8dsz7rRLtUFQMK/TZ6+eVd18RHxfp9+76hsUd7ErTjdQNTRqPHnH0Q4m/x5YaGxEe7P/xU+CnjweWtbYvy+OVrtN1xg0RcSg8/P7S0TXKamu17L7y9vucRJcYeHtlz1ba+rYNlu33i8bx2gDyBXGI43l/6/AO5VVUeco1Rhy7ECBiik6JeL9lajOzijZd5t5OipC7IxtyZHi67R1clZIOj+c06dClELY4j/Rg9/MzmzQ14d+MV77ZgJ0v3aPYqpIT8nzr0H6WGqo8M6feG08+DAlJYisAAGRAelb0vWMTnWvo8pQM7DovefFGVHf86cM/Y7tYlK7Rbv7Bj/J37tB3URd3ujTU4/HUDCsMcPX9nhNyiQl7eHJFdx0zVdqj6Oo5T1x9LzpeNt5ky8p6drBHXWvaLJFxKC3kwb//syivwuM1Wrzxaa5WIe35+r8bKPFUqtjP+/fJ5+zTjAFATiAOkaTPN+ZOrGnM42mrV/t9zYuEgi6QEO6x48/JvTtN+S9Znmc8nzeHxzSlOZ3Hqz3hwIVPbOmP0v0PbvujqgX/hjyNGmMWX/qY95Oknyk5IuDCqMFVaFsqVxy0/cYbubuYBQD84jJSAr129WlnpMnjmdr2WnquwBkzyf3K5EaDR85Y/5aClNxKuHl4fMuyFIcMrPvu+eApdG5OjXgwcVgVQ/5xdZomFfvsuuyXKAOfpaRnZdza1bWOZQFxKDLg36XDbXhqygaOs/65kefs4Yib/8yqZaCszrOavulBaDJbCgByAHEoLSv63vbBNfif8WtXsx9z+VWUGBHnw8Fr+6b+deqr7F92Tbj3rw+OaihGHMrKivE7NXekhQb/pjyjhlOPX4tmK362zLioF3unNeVp80qbdV61yQ3HIwCAjMlMiHU/8FeDUoY8nlLZrj3WvxHnijupj+Zt27l+8U15PuQ37tqBsc2NC45DxOf6xHaN9Pl7FFX9xsNP+viX/BuL4sWhuPtXFrUox1Pi8Zq6HHjly5bm8Hm5f1gjykq8ukP2PfuAz4cA5IfCx6G0yMR/J3WtVYY/L9s27e0aINaRV0kv3j46te7Ux0+RuY6Wy4wJCfV66/Eqm9ubt+8CfIPj4/I/8i4qIsjDw+3Vq9fvPAIjYxIzstJj4pOSon+8Tmd6TFTwB9/Xbm9eubm9dn/n7fc5MjHv205pibHhgf7v33/wDw2LT00Xa4cqfhzKygq4dHJiNd3sK9EZdFiw+mGiqH8hOToy6N1rumvie/3GMzg6pqBrlGaE3bkxp3EpZSWeTq+/jnh9ZYsBAGRFZuzbd9u6WevzD0TWbTFu7k2RsyWTmRX57z+XL+38NyItVxeelhIeFOzp7vGWz93Dy8vny6evqfntUjKzUr589nN3p9t5+fmFJaampWWlxUQnpif92NYnfQ339/6QXZJq+gSERCRk5D7uOzMjOTYixN/f1z8gJDo2VbyDwgsRh7IS7i6c3NqQ/xhpmVb73+W7waI+FcuIC/3kxz0GYvP2C4hMSSvE0exixaGMN3s3DTCgZoHH6zPrvOcPF5GLeH9p3u/qPE0er870M/8KOQQdAGSQosehjBj/R39Xq1uW3+mXqdXxf1dThJ9AKSglNTkhKjZVYNeVmRr54tGqEVPqOjhV4qtYsWIFq/b1u23bfCM4Is/+MDM8+uX6daNq17evVKlmm+ZTXY//9zji1qr9/z05leftpsTPwXf3bPurx6Ca9rWppG2FyrUb9Jmz7+SLGIHvbsjMCnl2elGnRlbmlZpNnX/DL1zEqU/fFSYOZXi/3j+0Aff5kHmfwdtfizqB6OO1f+Y7V6+S/SiIqVrt9kuu3glmBYRIDfhv8SR7VZ5yKashh857J6enJyUlJSQkJiYmJafQn0J+31UFgF9F4odLR4aUKsM/N4Zn23PejndseQEyk+LjE6Li0r5fFjMzLeb9xQsTuv1ZtXL1ynyVKla1tR/UdeKFSx9i837wkOr94eJfk7pUcqhUuXKzgQPWXn16/2rw9bUbbn95mft9o8yv716fWb7k95bdK1euQiUr2tRu02fyrrsPAjMF9huJ0a+OLR9cq6pljQbDdx71Ee9rFgoTh7KiL+11aWhGj5FSadXGi3c9FXFAYWbCg7ULf6+d/RiIq4rzwPEnAwtz5Tqx4lDEjb9nN6eNVuUp/T7ngtcPG53x6cHmGVV4Ojye0e/bD3iwpQAg+xQ9DiWHPTky2LwKv9HXsGw4esObjCJd2ich9PWRNW0aNi5Xsf3vs5YdPERct0z/w66MIc/auv2c6f8FZ35/m+qT9+UNM9t2mzh+xuY9hw4dO3/80u7Nf3fr2si85fRjJz6yG/FF3bm3YNSfrf4cvXrXiSOHjx/avXXpb+0baPEMK9o3cFl6/l0gu11mVsDN7cMs+JeJ0+k+6JSHeGc0FSYOZYX73/j7j1Iq/MdJuVGnaZc92fL8xAb5Pz1/9Aj/QRDX0eMXngd+En2dvogHJ2e3NFXiqejUHXz84d3rJ0/O6vz7H02aNG3WrIVz2/6T5p14+QkHJwBAifr6bM/S5jy97HfY6g/beqGIn2J/8Ti5clLz6vUt6g2YsnbDPr410/q0LK2qqVe95pgDR98K7KnS3a+tmz7e+bcZ85btdN2378SZo6dXLxzl2LqZU989Pq++H9uckuV9dP+gAX17TJiz48CFffv271u+cFztKrYaOjZOzfusPukV9y33xH+9s26kE3/vwGswd+0b8S4cXag4lPX237k96vL/AXWezuD5l9+LOAQ79fOLx1cOZT8G4tp/+t9b72MTxXpnkCNOHEryPjZxeAXaZi2ezV9rbgf+eHZQ6OPtC5x4pXk8lZYLl98uqcPKAaDQFDwOpcYGnlrZyKw8f1IuV7XN6rORGUX5VunQB/8saMB/o0uz44SLQd+Otgv7uLlT07KUHxyqjbjgnZ7BveuX5Hdo6whHG4e/dtzK+aTd59npUW2seY1HbrvwmVuSkRXvfmt5l0F1mnYbf+Zy4LdJPdPz7r5BjfmnoKpZ9N++z5fb2ExKIG+v792ydPHKbRevfoiIF+sIgULFoeiAeytH6aiW4t/csd24s8/Z8p8n9v7CmW2zv9SCZ9522potB0+c2DJn6bKJkyb07t5Ul6eqpF614/C/t14Nii3EHhAAQJIS/K4tHW3GP1yKx6vZadq550WZjzKTPxxY+ZuZJk9Judq0PQFsaVbknSsuNvyDlvV/G7rj2ylJmVmRj2aOaO5Uu83mBzm7lJi7+2bUrV7OqN92D3cWSxIT/C+ecnHq7Pj7sNV3Xn7bS2V8vbJtQh0b/tZWrrvm6Wt2NmxqYtCLa4dWLJ23fM2RBy/Cxbt2Z+HikPfNv/u14P+7/APPZpx9V9JHlokTh2Lf7Bv9O91Dyjt1F2x/EsoWCwh5tHVebf6nQ7x6M+bgaDkA+aHgcSghynfvLBtj/vzGs6vdaeeN9EyxjpXLw/vI/j7a/BrV5ro+EXgzMGDHBOdySjzdyk2XnohMz/7oIi3o3KSh1TSMWy49Gvj96K6MmNePZjUYt9jV1Sd7nJmQ8nLZn3bWtbuvu5on20Q9PD/ItJw6j2fRZcCmZyFF/zykUHEo8uOdZcN1VLPvZN0OE8+/Yst/mmTPPb8PsObxVEopWdXvN23LsWeR305Qjgp9vXXBoKpWlNW0yzSfdvBucCKuvA0AJeHLu3Mz+mX3+Dxe894Lrnuz5YWSkXhj+oSaVKGsVd8jz8Nz3qP7GnttYr2yNA1Xbv+/syxoZUY+XdqonmW5GmP/ETw4K/rFrmMu9Uft93zITZSpPl4H/2xYxr7n6qd5jshOfbhmXh0tnrImr/6MzXc+i3dgXH4KF4c8ry/o05T/KKnxlPvndx7OTyZOHIpzPzD2D1PaZh1e7blbH+WTdr7HoYaz5l8t6fsEAGJDHKI4ZJIdhyoXPQ5FPnq58rdeNep1G33seQAXX1KTInwDbi4d08hCiadk0fCvrd7p2XuHJO9j4wYY8DQNWwzZ9fTxp/g49u/FZr3YsP/fx2f8+IPMpE/e27s3NKxdo9e6k69fv3b7dl0Ct9dut47tc7Ez5O9stWv223Q+Mquop8wUKg5FBdxdPpLFIaf248+9ZMvzI5VLKXx5tKpnJy0er3RF4wkXngYl57nXaa+2Lu9tSiFRSavxiENvvfEJEQCUABaH1PhTJcWha15seSF9OHpseN2mDh1Gr34SwR2SlZ4QE/r86b5RzsaleDzDRqP3f/vO1o/XZ9Z3VOYZ1xu3/E6oX86FFmJeh99as+5mCHfuUHrw9fPjHc1Kt++78uxdDw/+FRc47h7uZxbNaJs9tfOq9t344E32bxdF4eKQ142FfZvx/1F6qPrNPPcun49avpGZSynEvt0/ZmBZ2mahcSj08bb5jtlxqMHMef+JuE8AIFsUPA4lRvntm1PJOPtbRivV6rj9WmqR4lBGcmr0l7Dgz+GRCSnJaSmRMeHP755bM2lYrQoW2tSia1o3mrLNKzV775D55ebSOY15yjwVLYNWtbtv23QtIDw1LSMzMyszMTElNT77056UiMfHB1e2V9fWKlO+gh273ABja21tpqutqaamYtboz63/RP2cOBQZIPDpUHvRnw5J5VIKoQ9X9mxL+02T6o1Wv/b98QSvTJ8HG//gn+PK06n815kr306rAgD4icI8z8/qr8LFoaa95l8VdZqlCGlx8V8CgwM+R0Qnp6elpYaEBd49u2dqvy4WRnqqyjyeWZPR+66yz3GS3mzt/JsVT0nFUN96UOeJFy69j07mXyguPSs9PiYpPTl7lxb2dOeiRpp6ymUMzCtUYpcbYOxszMsZaqgQJceBWx7+tDgk8OlQP5GfDsnOpRQEPh2qM0/op0O18OkQgPxR8DiUHhd8cYOzqRX/tFcju1aLjn7OKN5Xp316tG/VoFZ9GzQcP2Dk6o2TRvZ2MFflqVpSHPJO5a4UkBbpdmdLz0b83QCPp2RtWat5x/7D5u27/Tg8ezVfStynE0tqlzXgla/RZdqKw+xyA8zho8dOnb9w8dKlS9cfvA748pMOlgt6f+5/nbWV+DfXadtz6Z0gtjw/UrmUQuiDlT3bUIthWsN5/ev8zrpN9jk3dyTlWiUVtW6b9rwQfVkGAABpSAm4uXJiBZ4Wf2a1b/vXyYdFORtVQOTLo4tmdm/Yr5HzrMmTlq/6s6uTnjaPZ9J4TM6nQ1kJQad2Da6T/U3Z6jy96jWat+8/fu6Wa/4fv39IHv3+0uyBOiravHodJy/fxC438M3BI0dPnj1PLtx96R/5kw6WS318emoHe/42a/GsJ6y8GSBizyszl1JIC7wwfWJ12maKQ/O3P/7xw59on38XDdfjnzmm0331lqfF6yYA4CdS8DiUlRblcXumU00DmuBUzRsOXvs6q4h9dErwh3Obl7t0bl6/W5OO00fOO3Hwqn+Ex4kVHR1UeTwLgTjEf68r5MWVBS4jG5hV5O8M+EpXadFu0PpNN78E8qfgxLigPTOsymryrFpN+7eIx1oUrDBxKO7xnVVtrLIPh1etPWbquZBi7uILL/7NjgE9jHi8shSH3uR7EaIvd9b93YCnpKrKa7l80wNxvvkQAEDC4j1P7+ltUJo/W5ZyHLbpXJG/Hy38zQPX+dMGtG9Yt3/rXvPGL/nv6nOfoGvL+pfT5/HKNBSIQ7TL+Pzw7M5RXbtYqmR/tSnRsWr2++DZ5y/4ZGXf6rP76YldeOqavE6TLwVJ672iQsUh/70r+1fiX5tHrXSZ3rtPe5b4G1jixKGsxIdrl3ZQ41HeMZ2w6ubHHz58CvM8P7svP5XybMYcPJV96DsAyAVFj0NZqTERd2cMrKnHfzunQtN+u4KDUsU6+iwxJS7A53NyEv/dp/RIL/djf410KssrVaHu4F0Xvbl5ND3r04EFbSsq541DnLCg8+t2DfutX6tadobZVyHiGZRrs3njvfCErNTEL6eXO5Uz5KnZ/7HxXAz7hbwSfaOjPgYkZBXi6OhcxI9DGXGPdyxvbcT/yjxemWqj954VvBr4zxJ2fvyoqvQgVa2x9Kl3fmEn9vnu9R15ahpKqp037X1RwIEaAABSEe35am/POqX4n6WbNR2/4KaY17rMjIyK/BTADhJI+nzr1srfO5jr8Mwa/bH45kv2BlDYl9tzepiVpnkwdxzKFu32cuP/FvVq7exka5Y9sfNU6tQdffNaYEJGVrTv5XmDSvG0eJZdNz1+zX4ht8yUrDivkOjIL0V+r6sQcSjBf+ew3lUoNSjztGv12P3Ks+QvSS1WHMoKOndoXCUNHj2+naaccv/h+O4Qj9NTu/CU1XhG7Vdefyxs3w0Askfh4xD/1JunJwc3qsZ/M8/cuP2Kc6I+tGcy4j67Pbq2++jjsMikrKyUT5fnT63Nf5dLq/++/7N31gFRbG0cXrqlO0XgAgYlmIiI3d1dYKJiF6Iodl3r2l3Yiq2YiAHYCgKKoggIgoBIfy/MkW+IDWAWBnifP+7lzIy/PTu7c855dmbOnH1f+IPRn7zPB0rqUMavtLSfv/62tMnxEVcOzx/aUy//AggQk84eF1/n5mUkPzs+RNdYhKPiOHHF7bRSu6c/dzbcurjbNy5PMH0ryYeXh91aCKJD6cHXl/Zumb8hR1Jl1PzTb6vkguis5zt8uteRENNTGHgsoLQnK/18vM2nFUdWSt7U/dw1XhfzIQiCCI/fyZ+OejdSV4MWU8ahpce5NwL4UPbP0GuXr5+4RN258ztkc9eeuhwRJVvzRXfD/z8w/x5zu4QO5eb9+ZmSnp6R3w/k5uRmR727t8tnQKvGSlIiMGoX6zfr9LufeXmJgdsXFdzT0nD84XPhpZ74+JpyYeGJhw/vlftqudSbhya31uCvQ7k5Sac2dqyf//weEXW9xquPfUwuwz0+wkIwHcoLC9ozunn+A/j+6bnxfkixTzbr+f1N3f7hSHAkBy649KHc5wURBKl8UIeArMSL89yaQx8DvYz5iANh73mfWsjN/nTp3CGfTbufJydkQx8UeX/14PxbQmW1O2599/b/MpWR9+XQ0g7/1yEq9fPlS5e3b3uQWfiAo6z0pND3Z2b2MoAKKNiN3HUzKy877VuAp4WDKviHhUOnfbdCM4sbUe7nG3MXbVmx9yFsTBaVlbCXh1ybFuiQ7dSDF8nzjkqS8+nMxAmNpfI3lNfqtPR+QHx5X7CCZITeXd+nmYi0jOrEdU9jSnTZ2Z+vLHYz5MjJNx1x8PWHKqojgiBI3u/Pr9d3b2kIraaYqsPAZQ+yknj/aJX55+Xubdu2HDsVVeAFOQ8P9LEy5HCkG3R1v5FNu6wgNvbOoj7FdCgn+9Wu//zOn39dUMonJy35+52L3j0s81v3RoO2BYZDNxN6bs8AjrIIR7xOlxHz7oYVO7OUl/Mr8tHxUdN3+wW8K3fjmfr/s0MD93z4/w+DRclN+hSwxr6FesFzaht0mnoyMaYMd/gIjyI6NO92zs/S90NW8ovjGztzlCTENIfuPh5GlhLCT+weqiEmrszptPXUm5Ry/lCJIEhVgDpUQMrHpztn9a4nCQ10HbMR4/c/ecP9goGMx76HNu7yOR0amZ5XcJLi7TXPvjZgLor6Q45+LvK7W+zR5Z1MiQ6FZVEPw4k+tXi1q/O069+LzIKQfHN7N31VjlZT1+OPckC40n89WuhqR80M8I9dR0+fm5FxZFPgc8TRua7dZi/dHlT+215/BwVu6lXQJXEcph32K31G0O9RZ9ZOaqmpCu9BVqe+656rHzOr7pE+2anPdq9pI8vh6BlNPnktqlhnFRm4vkcDCQVJl7W+b3/hHawIglQZuTlZccEnPLrbKnHAPwza+qx58DWRrCtB1q8f1/asW3ty553PMfkj6Jy8bL9/2zaC1l+pSR/vZ/TbWZN+Bizpr0N06Cb52S4zZGU3j9mT1v3fh/JJCFztZighzWk1an9w/nNc09692tfLQQ4MTUZZ06nHtH0nImi+Enf/9oqJA3usP/0guvwtfPTxdSOsoROVUK07ZF9EWKmtcOLzB2vc2tcteC5TXee+Gx984P3jY+WRk5d3d08PO7BQxcY9F9zNS+Z2GXr6h7d7uzrIi3D03eZfKnKpRPzVueN14APvOebi++g0tCEEqU6gDv0l7tPTnQvHNjFShWbasFXPRdvPPvtY7GT3j5jn504dP7Bx7+HLLx/+v3NLeLPXta86/DNZ0067TgdRlpMcF3LwtPdwR30V6A/rtVly8GNW3OeQyK+JL88vnNeao2Q/eOqpkMI5WH8Fb1xkLaGi3ct1fyR50YyIwG1jBtcrmL6Ao6jtNHDUzPkLFsybP8/DY0KPDs2bdfc6dDmM6s+y8pKf+x9Yv3jBAq+Nl/zCslMFuZ0o5spJN/uC24E4FhP2Hy5+0+fnmOf7/lvft5dl/s2uHNVmbeZs9X2bWf557Bgh7fOHMwv6NazDkbV29Dz1oPDK7OTIO5vHdTTWk7UY4+4XKeAj1BEEQYRH+ruAswuHdtOT5XCklFv0n/HfhfsffxQ9EZIR/u7eyYMHj2w5ciQg5g3xnpy8nHC/ybZWUhyOmnWHqQ9fU31NVvgH/43/TuxkJAkrNNvMOnc3KT3hY8iHb4mBGx27NVLT77Ny96u4nwXb5t/AdGB4f1Uxddtl2578KDCO9Iyv/qfdmjUuuCybI/WP7eCpsz2XLFmy2HPRTPfBLm1duow79Dg0jqpgSsrH2yfW+SxZsmrTyedB/5/1lBc5D1a7t9aFbFEVoy7bw58X+63uz/Pn/uuXz2jTQhk2kZC17j582/UH7Howz82tXRupgS+atp1w5Af3N52eEX3D17WZmoSOwdB1F//+Thl/d8uC1rp16zTutfDui/Ty3tKLIEgVgTpEI+tX7MUd64d3crbW0TW2bNRn0oSlS7f+t+M/4OD+fZcvHDh/ePmWzdvPR0T+7XMo0t6fPTyrcV0VMRCpJp3mb9p34vaNSwFXvP9b6NbBRFmaw5HU7jho69Vrt2+8/hj36ML+jYMbuXRp1tFtmteGLfsgfJvXLHcn55ZOA70v3aZftJYc+Hz7xGGNzVULLmn7P3KNGo1beeDDt7+/Gqbnffpvhk3BfAzyg4ee/lPanTWEnD+x4f7HT+7etM69p4s25Vr5jzh3cduxemX+Gy1gw/bN48a7WhvZ6qpbtmjTafSkVZduxbPjt660pJd7Fo1y0tVpZddmgffq/NruWL1sUtfWzS1buU3f+1ywjhtBEET4/Ah/vmXB9I4O1kZ1dBq1dho313PzRjIV9OlTJ2757Tq+0+vf3Ufvp/0sei4l5vaSRb3rKYlCE91ioPvWY75Xn9w/7n9y3pJRvernP9SGo+fssfDMg8eP7oZ8TPTfOnlml0bNunUcMGfp5t37D+3fv2+bh+tgm5at+7sffRv2fy3JzPtw4qR7d6d6On+bfgo5acO2nXyO3P1NPaMIiI6+PIm6X1S81db1PB9F9DvufcjF/Uf2+3j1b2Kef1MNIKLkMm3M/P27t5P3un//yi3rBvTub6JmUc/I2qljl5kLTz4Pq+Jf1/6S/u1z0OUD+//b5zPYWYd6A0p1W02d/e+e/SfvPQr/WVo1s/I+HF/h6mDlaNdxjvfqgjc4v7d143pNus08ce9XuR8GiCBIlYE6VJLoD/d2rZkzrk3b9mb//KWZQ7MJs1b4Brz+9SerlKYuO+HTja2z+zVuYGZm9o+9XceZi/c8+RadmRP9dMvYEY3++cfCofHYVSeCfmbk5kUHBz++7ReREBSwbdqC5o2aQXjD+vVHjply/lloyUvfcn5E3To8t3/fRv+Ym5jUq1fPxtzWfaT3vcAfBTfOEjLyvl/YMqatZb16Vh2Wet/N/MH94u/M5OeX5nbo2gBeNf9ZdQXv7R/43//fKUUz+0bDXQcsPrDp4tuohHLPNCQccjPin/+3ztOxaUtS2X86dey55eTlT3hWCEEQlpGblZH8/MGxZdPGDbZ1aG5i+vchqC5tOs5Ztdv/3aes7PxbUIuTFPpg1/T+LeoaGdczMXV2Grp696WPmT9Tvz88ObG5s3G9eg3b9fA6Efg1JzM79821q09D/D9EXj0/vdeo+mYNzcxMG1vbeyxa9TAqseRtOUnv7+9a2b+Fo5GhoaEB0KK+07IFh958zKFXIi4uYK1rY0sDg0Yt3E4dCydLSyU+5MimPv/Ympnmd1DGFPWg0iYmZoXvFWpk2ra1/diZY1efP/YgKvl3FovOniQE3Fw/2BxqSHsH9aD+UHvHWUvOhnK7mi836e7d/wb0dzQpeJemrQdOW376zTuu10QiCMJqUIdKI+d3ys+4L5+jwkJD31N8+PAhOib+V+GPZyXJTvsZG/05MiI89ENY5LfvP9MLOpfctB/xn6M+ffwY+TUuueD3v+yMzMzM/D4qJzk2HjaG8NCwsG+x8dykI/tPUlzsl6jPUfl8+Rz980dKsa4kNy87NSnuK2zx5VtiYnpuaZ0rITc7PflbZCS8rbDw8I+fCjKjPkWGh4e9L3yv+YRHhn+L+/7zTxorbnItye/Un58/RZIqh36Kik75w9KaIghS68n9k/zj+9cPYWGvX/0l9H1Y9PfE31y7lNzstISYqPDw92/fwLaRMT9SCjbN/hMf9SUiPCwsIjLmJ/WvM9Kg9YNOITM9JjLq9av8l3j3Piw2MYmLc+SkJcd8/hxB+PzxS/LP4j8lZWf/Tvj+KTIi4mPU91+/eJ7GyUpLiA1/9ebV69fv3od+CM+PDA//8P4NVJvG61cfIj58+xGbnPmHe/dUNWSlJH+PKKjj2/dhBW8g/EPY+zf51X//5etPHte95eSkfP3y4XXBZ/r6w5e4Uk8kIQhSLUAdQhAEQRAEQRCkloI6hCAIgiAIgiBILQV1CEEQBEEQBEGQWgrqEIIgCIIgCIIgtRTUIQRBEARBEARBaimoQwiCIAiCIAiC1FJQhxAEQRAEQRAEqaWgDiEIgiAIgiAIUktBHUIQBEEQBEEQpJaCOoQgCIIgCIIgSC0FdQhBEARBEARBkFoK6hCCIAiCIAiCILUU1CEEQRAEQRAEQWopqEMIgiAIgiAIgtRSUIcQBEEQBEEQBKmloA4hCIIgCIIgCFJLQR1CEARBEARBEKSWgjqEIAiCIAiCIEgtBXUIQRAEQRAEQZBaCuoQgiAIgiAIgiC1FNQhBEEQBEEQBEFqKahDCIIgCIIgCILUUlCHEARBEARBEASppaAOIQiCIAiCIAhSS0EdQhAEQRAEQRCkloI6VMUcO3aMw8FPAUEQBEEQBEGqAByIVzHgQqhDCIIgCIIgCFIl4EC8KpGWlkYdQhAEQRAEQZCqAgfiVcbcAlCHEARBWIi/v7+npycpIAiCIDUXHIhXDT9//pSWloY/UIcQBEHYw8ePH6FN7tixIykjCIIgNR0ciFcNhQpUYEP4KSAIglQ9bm5u0CCDEZEygiAIUgvAgXgV0Lp1a39/f+pv1CEEQRA2MHDgQGiNHz16RMoIgiBI7QAH4pVNSEiIubk5KaAOIQiCsIDt27dDU9yzZ09SRhAEQWoNOBCvbIrJT4EN4aeAIAhSlWBTjCAIUmvB1r9S0dLSiomJIYUCsA9GEASpWjw9PaEdbtq0KfxNTShXeD0zgiAIUuPBgXjlQU1YxAOyHYIgCFKJUC1wx44dwYj27dtnZGRELSGrEQRBkBoNNveVRzl06O7du9OmTRs1atRIppk4cWJ1TJ4+fbowkidMmADJo0ePJmXmqI7Jbm5uwktevXr1z58/yfcbQdhByRYY1AiWKCkpkXIJcnNzT5w4MXfu3ElMM3ny5AULFmAyBSbTwWQ61TcZhnakHUFYA+pQFVOyG6Yzf/58UVFRFxeXDkyjra0Nr9umTRtSZg4dHR1IdnZ2JmXm0NXVhWQnJydSZg59fX1IbtWqFSkzh6GhISQ7OjqSMnPUrVsXklu2bEnKzGFsbAzJLVq0IGXmqFevnpaWVnh4OPl+Iwg7gC88QAp/KXVhIVlZWdBigC/Bf5kFDmoxMTFMpsBkOphMp5omi4uLT5s2jbQjCGtAHapiePe4M2fOdHBwSE5OJmXmmDt3rq2tbWJiIikzx8KFC62trePj40mZOZYsWdKoUaNiN18xgre3d4MGDaKjo0mZOdasWWNpaRkVFUXKzLFx40YLC4vIyEhSZo4tW7aYmZmFhYWRMnPs2LHD1NT0/fv3pIwg7KDUdphaGBISQspF+fPnD4xsxo4dC38wCzT4zZo1w2SKX79+YXIhmEynmia3aNHC1dWVtCMIa0AdqmKoHpcUSgA61Lx588zMTFJmjsWLF4NopaenkzJzLF26tHHjxqmpqaTMHCtWrACFS0pKImXmWL16tZWV1Y8fP0iZOTZv3tywYcPY2FhSZo5t27aBwn379o2UmWPnzp0gWp8/fyZl5ti7d+8///yDOoSwjVLbYWtra1j47t07Ui4KjGwcHR2nTJlCyozSunVrTC4Ek+lgMp3qmOzi4uLm5kYKCGtAHapiSu2GC5k1a1bTpk1//fpFyswxf/58kBZh3MUBogXSIgy1ANGCAcr3799JmTlAtBo1avT161dSZo5169aBtAhDLTZt2lS/fn1hPD5/69at5ubmHz58IGXm+O+//1CHEBZSajsMbS+Pxhl0qFWrVhMmTCBl5sBkOhkZGZhcCCbTqabJIFrCSEYqCOoQq0EdooM6RAd1CEGY4uzZs2A+GzZsIOUCYImWlhYplAClhQ7qEB1MpoPJdCAZdYidoA6xGtQhOqhDdFCHEIRBqMm1SSEvLz09HYo8LidGaaGDOkQHk+lgMh1IRh1iJ6hDrAZ1iA7qEB3UIQRhFurqOH9//+3bt8MfvGdtQWmhgzpEB5PpYDIdSEYdYieoQ6wGdYgO6hAd1CEEqUJQWuigDtHBZDqYTAeSUYfYCeoQq0EdooM6RAd1CEGqEJQWOqhDdDCZDibTgWTUIXaCOsRqUIfooA7RQR1CkCoEpYUO6hAdTKaDyXQgGXWInaAOsRrUITqoQ3RQhxCkCkFpoYM6RAeT6WAyHUhGHWInqEOsBnWIDuoQHdQhBKlCUFrooA7RwWQ6mEwHklGH2AnqEKtBHaKDOkQHdQhBqhCUFjqoQ3QwmQ4m04Fk1CF2gjrEalCH6KAO0UEdQpAqBKWFDuoQHUymg8l0IBl1iJ2gDrEa1CE6qEN0UIcQpApBaaGDOkQHk+lgMh1IRh1iJ6hDrAZ1iA7qEB3UIQSpQlBa6KAO0cFkOphMB5JRh9gJ6hCrQR2igzpEB3UIQaoQlBY6qEN0MJkOJtOBZNQhdoI6xGpQh+igDtFBHUKQKgSlhQ7qEB1MpoPJdCAZdYidoA6xGtQhOqhDdFCHEKQKQWmhgzpEB5PpYDIdSEYdYieoQ6wGdYgO6hAd1CEEqUJQWuigDtHBZDqYTAeSUYfYCeoQq0EdooM6RAd1CEGqEJQWOqhDdDCZDibTgWTUIXaCOsRqUIfooA7RQR1CkCoEpYUO6hAdTKaDyXQgGXWInaAOsRrUITqoQ3RQhxCkCkFpoYM6RAeT6WAyHUhGHWInqEOsBnWIDuoQHdQhBKlCUFrooA7RwWQ6mEwHklGH2AnqEKtBHaKDOkQHdQhBqhCUFjqoQ3QwmQ4m04Fk1CF2gjrEalCH6KAO0UEdQpAqBKWFDupQMdq0aTNt2jRSYI5qKgCYXAgkow6xE9QhVjNz5swWLVrk5uaSMnMsWbKkSZMmWVlZpMwc3t7eIFrp6emkzBwrV64E0UpJSSFl5li7di2IVlJSEikzx5YtW0C0EhISSJk5duzY0bBhw7i4OFJmjt27d1taWn779o2UmWP//v2oQ0jNAATA0dFxypQppMwoMGDC5EJYkgzdJXzov3//hj4ISE5OTkxMhLb9x48f3wuANvPLly+fP38ODw+H7nXIkCGRkZFRUVGwBJbDWmoz2B7+FfxbSKCiIBOSBeyO8ROkUx2TXVxc3NzcSAFhDahDrGb27NmgFtCeQtPJLDNmzAAB+PjxIykzx6xZs6ysrKA/IGXmmDdvHggADKZJuQTgM9DBAL9+/aK6GQEBOWzQoEFYWBgp8wPyAXgheMWfP3+Sly+NZcuWWVhYvHr1ipSZw8fHx9zc/Pnz56TMHGvWrDE1NX327BkpM8eGDRtAh0JDQ8n3G0GqLdT5kPHjx8MfzAINS8uWLTGZAlpaISVDSw5C6+rqCh4CZHMhMzMzPj7+5cuXV65cOXHixJ49e9avX7927dqlS5dCBw096aRJkwYNGtS/f/+uXbs6OTk1b97czs5OQUFBXl7exMQE/oYlsBzWwjawJWwP/wr+LSRADqRBJiRDPrwKvBa8InntEoA4UXWGbTIyMsg7YQLh7WdMpgPJ0G5MnDiRtCMIa0AdYjUrVqyQk5OztbUFKWIWbW1tSLaxsSFl5tDR0ZGVlQXXImXm0NXVhWRwLVJu3Nj+Lw4ODk2aNGnWrFmLFi2gFYMOA7of3kCTVEjdunVhbzRt2pQqki24A9vAS8BrQT8H/wpendTD3p7U7C/6+voyMjKNGjUiZeYwMDAQUrKhoaG0tDSYJykzBySDDgnjAj8EqWRgAN25c2do7qhGg0GgbVFUVMRkCmaTSQvu5NS6des2bdooKSlBo9SlS5du3bp1Lw1YDrRv3x46lwYNGpiamkLDq6mpqaGhoaysDL0GNJUSEhKcsgDbw7+CfwsJkANAJiTXr18fXgVei3pRUoOiQFVVVVWhW+nQoUPbtm2dnZ3J+ymAvMlygd8NOkJNhm/d/PnzSTuCsAbUIVazZMkScIBZs2YtZBoYyoMRzZw5k5SZA452LS2tGTNmkDJzQHMP/dC0adOooqenp7e398qVK9cWMHfu3D59+sCY28jICBoy0vMIB0lJSdh7IAzQJ02YMGH58uXr1q1btWoV/OHl5bVo0SKqhgD0WOrq6lOnTiVl5oBeE5InT55MyszRsWNH6HEnTpxIyswBw0fQoYiICPL9RpBqS2ZmJhz+MISFFoBZxo8fD+MwTKZwdXVlJBmaSug7oMubN2/eggUL3N3de/TooaamJioqKisrS1p2noDGgMBAj2xubm5paWljY0Od9oFGvlevXv369Rs8ePDYsWMhGV4LNnNwcFi8ePH06dPh1WE5rIVtYEvYHv4V/FtIgBwLCws9PT0VFRVwJPJK/IBq2Nradu3a1c3NDQbW8I5gkAAvBK8L7Tb1fssKU/u5JJhMh0qePXs2aUcQ1oA6xGo8PDxatmxJCoyybNmypk2bkgKj+Pj4QDeQk5NDysyxZs0ae3t7Uijgz58/nz9/Dg4OvnLlyvbt2ydNmgSSAJYCPkb6DQ5HRkZGQ0OjXr16sNzOzq5Vq1bOzs7QIXXp0gW6w969ew8bNgyWg0F16tQJuivoY9q1awfbtG7dGt6IlZUVdH7Qt9WpUwc6TipTQUHBxMQExA/+7YoVK06ePBkQEPDhw4dfJSa92LFjBySUXF5xdu3a1ahRI2FMhrF//37oBuLj40mZOQ4fPgw69O7dO1JGkGoLND7QAsDYl5QZpU2bNphcCIPJiYmJYWFhjx498vX19fT0NDQ0hA4CmncRERGqbYdGHpp3bW1t6DKggQVpgT6lf//+0LksXbp006ZNe/bsgX975swZPz+/u3fvQsv/7NkzaPw/fvz49evXpKSk3Nxc6pK2GTNmUC8KRVgOa2Eb2BK2h38F/xYSIOf06dN79+7dvHkzdCVTp06F1wLNhn4fOg7oZaAm0DeJi4tT1aMwMDDo27cvWNDBgwfv378PLSojzTV+6+gILxmGH3jvEAtBHWI1s2bNatasWWpqKikzx4IFCxo3bpycnEzKzAF9jK2tLfQ6pMwcoEOgNKGhoV++fHn69Onx48ehP+jWrRv0GVQnISkpqaKioqenBz0ZDOjBnWDt+PHjFy9evG3bthMnTly+fPnJkyfPnz9/8+YNeFRsbCw1fcLatWsbNGjw9u1b6Leio6Pfv38P2wQFBd24cQO6K9CDlStXQss4cOBAsCnoI83MzKAfVVdXL/xZUU1NzcnJacqUKbt374b+CXpcqn+C7hO2hxcqeAdMAt0nvMeoqChSZg7YV2CAwjiHs3PnTpxKAakZgA5BawCjZFJmjuzsbGhMMJkiJyenIsnQpCckJEBrDwYC7c/kyZNBVFRVVaHRBscAC4I2HJQDeo26des6ODj07Nlz4sSJ3t7e0JKDroSEhEBLDu8OqgGeI+C0RuXYG1Q4vAr8W6jw69evr169CuoFNYE6g/w0bdrU2NgY6iklJQU9XZ06daiL9OAP6OnGjRv377//+vv7g3FBhWHMIGBVC6ngfuYBJtOBZGdn5wk4sxz7QB1iNTjRdiGZmZkrVqzQ0dHx8PDo06cPdbpGTk5ORkYG+gboIaAzg55s0aJFe/fuhY7k1atXMTExUA0QnpSUlPT0dEjIysoqtZMA0bKysiopLdAzwb+CcU9aWhqoIzheXFxcZGTkvXv3QMbAkYYNGwaGBtWgLgeHnlVBQQH6WuifoJ6BgYHU9A/QGZNE5sCJthGkCqF0SBjDGkymU44pj6GRh3YbWt0rV66sWrVqyJAhdnZ20HeoqKhAEy0mJgYWAX9YWlrCf11cXI4dO3bz5s23b99GRUV9+/YNdAJae/Ao6C9IYhmBV6/43oBXhzpATaAXg74M6hYREXHjxg1ra2uo+dixY+EP6PvgvYDUQT+orKyspaUF3Q2409KlS8+dOwdtOHwuAnpRNZ20ujomt8aJtlkJ6hCrQR0CoGt5/Pjx6tWrYVeIi4sX3hcEvRr0B0OHDvXx8Tl//vzTp0+h9QddAXUp6w9j1HOHyjS1NDRqCQkJYCMhISHQRW3ZssXNza1FixYgaVT1wIsaNGigp6dnYGBw9OhRxk+XoQ4hSBWC0kKHJToEbfLVq1e9vb2HDx/u7OwMLbC6ujrVIAPQdzRv3hxEYsOGDbDZ3bt3bWxsxo8fD10M+fcMIbzBNHRtMJiGXi8yMvLRo0fQ8cF7ga4HFtLfKYifhYUF1GHgwIFLliy5fPkyCBWJ4IJQBQCTC4Fk1CF2gjrEamq5DgUFBcHQfOLEidB8KCsrQysPOgR20a1bN09PzwMHDlA/6VX8kj9KhyryGFYYDUD/dP/+/ePHj69du3b06NHQE1M9k5SUFGjbkCFDQNuuXLnCyEXeAOoQglQhKC10qlaHoOmGphWaRHCbJk2aFM5JICIiYmJi0q5du3Hjxi1dunTfvn23b98ODw8vPO3j4uIijAuihDeYzs7OhuSpU6eScsHPhdALQNdz+PBh6GJAjTp06ADvuvBOVwkJCXt7+5EjR65Zs8bPz4/bpQrVVC2qYzLqEDtBHWI1tVOHEhIS7ty5s27duu7du8v+vTkHBuja2tqGhobbtm0LCQkp6/kf3lRch4oRHR199uxZ2MnNmjUrvEkXgH0+c+bMixcvQpdMNi0vqEMIUoWgtNCpfB3Kycn59OlTQEAAaMD06dOtrKyoNhY0oF69evBPBg0aBJ3RkSNHnj59St0jWowaOUxPSUkJCgqCdw3vffDgwbAxqBF1lxHQoEGDyZMn792798GDB5GRkfTTYqCINW9vlBuhJqMOsRPUIVZT23To+/fv0HWtXLnS2toa2m4QCS0tLejnxowZ4+vrO3ToUKgzyBLZmjkY16FCQC3U1NSGDRvWoUMHIyMjGRkZeF86Ojqurq5+fn7Qnaenp5NNywjqEIJUISgtdIStQzCIp4rwQvHx8eHh4WfPnp00aRKM76nTILKysurq6lAcPXo0yAA0XzDW5/2rWc0epsN7hz0A++Ho0aNubm52dnYaGhpycnJUx2phYTF+/PgTJ05Qs9JBLOglDNOF8XjQmr2fywokow6xE9QhVlNLdAga4t+/fz969Mjd3d3U1JSamUBBQaF9+/YwgH779m1SUhK07EuWLLGxsaleOkTN/wZvAXbI5cuXoavW09MTFxeXlpYG0+vdu/exY8fi4uLKcc8u6hCCVCEoLXSEl0zN0gbDdOgmYmJiYAQPg3voYgoH94CJiQlsAKugbYHmVMDfmGrJML1QIE+ePAlWCb1G4WQSIJBWVlZjx449deoUeFGLFi2mTJlC/hlz1JL9LCCQjDrETlCHWE1t0CFoHS5dujRq1KgGDRpQ3ZuysvKwYcN8fX2hgU5JSSHb5eUtX77c2tr6+/fvpMwcwtOhdevWQTK1N6A7j4qKun379qJFiywsLAr6cY6RkVG3bt22bdtW1veFOoQgVQhKCx3hJQOdOnWC3mphwROizczMqOnUAGhawYL27dt3//79T58+0S/9EoTaNkzPysqCDoi6vBC8CHYptRvFxcWhWXZ0dFRRUQE1YvzBHrVtP/MGklGH2AnqEKup2TqUm5vr7+8/e/ZsOzs7ql2Grm7SpEnHjh17+/Yt2YjG0qVLq6MOgeYVu3s1Njb2ypUrXl5eTk5O1Bs3MDAYPnw4vPFSr3EvFdQhBKlCUFroCCkZhu++vr4NGzYULYBqLW1sbEaPHr127VrqemOyadmpzcN02LHXrl3buHEj7EkYCRQaJvQp06dPP378eGRkJNm0wtTm/VwSSEYdYieoQ6ymBuvQy5cvt2zZAu0C1QqD50ycOJG6coxsUYIao0MUWVlZd+7c8fT0dHZ2pmaMMDY2XrBgwe3btwX5xFGHEKQKQWmhw2xyZmbm27dvz549O3nyZGgVQYSkpaVNTEy6du0KPdeFCxcYuWQah+kAdRU39K29evUqnKpbV1fX1dX11KlTr169gk+WbFpecD/TgWTUIXaCOsRqaqQORUdHnzlzpm/fvuLi4lTLO2DAgEuXLvG94LuG6VAhISEh8EHDZtT8sPAeQXXAGXjvENQhBKlCUFroMJWckpISFRV1/Pjxfv36qaioQHsIrSLoUJMmTY4cORIXF5eTk0M2rTA4TC8kNzcXOlYXFxcFBQXq9l3Y8/Bf8M9Dhw5FRkZWZBCC+5kOJKMOsRPUIVZTw3QIGoKHDx+OHTtWQ0NDQkICdMjJyenAgQOxsbGCzCVQU3UIgEHA3bt3R40apaSkJCYmJisr27ZtW94Pb0UdQpAqBHWITsWTwXNg2L1x48Y2bdqoq6tTl2/VrVt35MiRenp6kydPLvcknNzAYXoxQIeGDBny9OnTGTNmwD6H/Q99tJqamqOj48qVK0NDQ8vnorif6UAy6hA7QR1iNTVJh+Li4tauXWtnZ0dNNg2SsGbNmlevXqWlpZEt+FGDdYgC3Ob48ePdunWD/QMYGxtDo/nixQuyuiioQwhShaAO0alIcm5ubmBg4KJFi2A4rqurS7V+0GwuXLjw7t27MAqHTnD69Olka+bAYTqdzMxMSJ42bRr8/eXLl1u3bkGHC4ME6uPQ1NR0dnaeM2cOfCK8py8vCe5nOpCMOsROUIdYTY3RoYcPH8Lxr6WlBQ2rjo6Ou7v71atXy/q+arwOUQQFBYE3wucO+0pUVLRLly6HDx9OTk4mq/+COoQgVQjqEJ3yJcPA+sGDB15eXh06dKAeFSomJtamTRtQowsXLhR2IjAQd3Nzo/5mEBym0ymZnJSUBN30smXL2rdvX/g8dBjKe3p63r59W/CHQ+B+pgPJqEPsBHWI1VRfHSq81TU2NvbYsWOdOnWCllRERAQ6th07dsTHx1Nry0Qt0SEARgmXL18eNmwYdW8rKIS3t/ebN2/I6gJQhxCkCkEdolPW5OzsbGjQdu3a1bZt24Jhdv5NpPD3woULQZDo5x9wME2nSpIfP34MHVDHjh0NDQ2pD6tly5b//vvvy5cvBZEi3M90IBl1iJ2gDlUBMNak2hQKHk5STXUIklNSUqBLgyG1p6cndf2DhobG8OHDAwICyHZlp/boEAX8q2XLllFPKAKTHDJkCAwUCh8KgTqEIMIDGq6QkBBSKA3UITqCJ0O/EB8ff/78+d69e0tJSUHjpqSkBAPEDRs2hIeHl7w7BQfTdKoqGT416GugAQcpUlZWhk9NVFS0c+fOZ86ciY2N5X1PEe5nOpCMOsROUIcqG+qCMehrp02bBn9QcLtJtJrqkIODQ0xMzNOnT/v06SMtLQ1DeRMTk40bN3758oX+s19ZqW06BMBH7+fn17ZtW+h7xMXFbW1t9+zZQ82vsGXLFtQhBBEGPj4+0Czv27ePlEsDdYiOgMlZWVmBgYGurq4GBgbU1XHQ8IIIhYaG0p+4TQcH03SqNjktLS0yMnL79u3QxcNnJyYmpqenN2LEiDt37sAXgGxUAtzPdCAZdYidoA5VKjB47dixIykUoKSkBM0K/JeUi1IddWj58uWmpqYgP/BOobmEd9etW7erV69W/LVqoQ4BMIB49erVzJkzqWlnYRixZMmS5OTk3bt3QzLqEIIwS3p6OhxoAOqQ4AiS/ObNm8WLFzdp0oQ6KQRN2bx58x48eMC7a8DBNB02JMOABJwWuiEzMzP4HKGXt7W1nTNnTnBwMNmiKLif6UAy6hA7QR2qVAYOHEj+olHQ85b+QVRHHdq2bZucnJyJiQm8KW1tbXgLT58+JesqRu3UIQpIgB3brFkz2Kvq6upQ4VGjRjVs2PDLly9kC+ZAHUJqM3CIbd++Hf6LOiQ4vJMjIiJ2797du3dv6tFqmpqaI0aMOHbsWGxsLNmCOziYpsOe5ISEhNOnT48fPx60Fj5TcXHxrl27Qt/x7t07ssVfcD/TgWTUIXaCOlT1QFMCkEJRqp0Offr0CY5z6h1ZWFiADAjS4QlIbdYhIDs7+9KlS9SkFEpKSiBFNjY2whBa1CGk1jJw4ECwIACOMtQhweGWHBMTc/nyZVdX1zp16sAuVVZWbt++/caNG6Ojo8kW/MDBNB22JcfFxUGr3qVLF2rWH1lZWRDd8+fP0z9f3M90IBl1iJ2gDlU90IjA4UEKRaleOvTx40cPDw9NTU0pKSk7O7vDhw9zuxy8fNRyHaJ4/Phx3759qWlP69Wrd+PGDWheyTqGQB1CaifQgmlpacEfqENlpWQyLHn16tXixYup6chkZGQsLCwWLFjw7t27Mj3NEwfTdFiYnJubGxkZuWzZMuhD5eTk4LOGMcDs2bNDQkKom6Kzs7NxPxcCyahD7AR1qIqJiYmB5oMUSlCNdOjNmzejRo2Sl5eHtwOD6UuXLkF3SNYxBOoQAH0P6MT48eMlJSXFxMQcHBzOnTsn+CMgBAF1CKmdFDbFqENlhUqeOHEiVYQxn6+vr4uLi4KCAuxJVVVVWMX3NqFSqaZD3tqWnJSU9OTJk5kzZ1KTRYEXQdqhQ4dAfaHPEpIAVNP9jDrETlCHqhhoO3r27EkKJaguOvTixYt+/frJyMjAGB2awubNmwvjIi7UoUKioqKmTp0KuxqA/MOHD2dnZ5N1FQZ1CKmFwHe+cGZt1KGyQiW7u7vD39HR0UuWLIF2iWqgBgwYcOrUqXJP+lJNh7y1M/nLly9nz54dMWKEuLg4fPSmpqbQa799+xYEYNKkSWQj5qim+xl1iJ2gDlUl0ENIS0uTQmlUCx0KDg4GF4K2T0JCAirctWtXqDOzl8lRoA7ROXLkiJiYGCgo7Pn69esfO3aMrKgwqENIbcPf3x/GKKSAOlR2MjMznZ2dhw0b9vDhQ1dXV+qkEDQj4EXPnz8nG5WLajrkrc3J4D8+Pj5WVlbwHZCXl+/bt6++vv7ixYvJauaopvsZdYidoA5VJdBYkL+44OHh0bJlS1JglGXLloG0kEIFgIZv0KBB8EZ0dHQ8PT1///69adOmJk2akNWMsnbtWlA46HdJmTk2btxoa2vL7elPFWHHjh3QKwhDDsF/oI9ZuHAh9Vh32DMXL14k6yrG/v37wa9+/PhByswBCgc6VHLqIQSpWoo1xQLqkKOj47Rp00iZUdq0aVPtkrt06WJpadm5c2fYddra2n369PHz8yPrKkZ13BuYfPPmzSFDhlDzzgGjRo0SxmMhquN+hi7b1dWVFBDWgDpUZUhLS/Mdf8+fPx86mEuXLt1mGminYGB64cIFUi4jd+7cCQwMDAgIGDFiBNXYQRqMHu7evTty5EhTU9Nz586RTZkD2lMTE5PTp0+TMnOMHTvW2NjY19eXlJljwoQJdevWPXHiBCkzx5QpU8zMzHbv3j1w4EDqIwAjgrfw5MmT+/fvk43Khbu7O/Rhhw4dImXmmDFjBnxPwsLCyPcbQViAkpJS06ZNW9MwNzeHAwr+C39zk6KMjAxnZ+cBAwa8YpqgoCA7O7tqkfzmzRs4nCMiIp49ewZySDVEQLNmzQ4ePEht8Pr1a2rj8hEcHCykvYHJdBhMhk8cPnf44/jx4y4uLtRXQk1NDXpD6J7g2wLfGWqDClJN97O9vT1036QdQVgD6lDVYGRkJMgvJT4+PmBNMJ6uxzTKyspSUlJQDVIuC+AkgI6ODjRw1INWFRQU1NXVqeUVSeaNiooKJBsaGpIyc0CypKSkMJJVVVWFlwx7A74burq6ioqK1LXa8IempiYsBCMl25Ud+FglJCTAiEiZOeBLAjr06dMn8v1GEBZQMFrjiqenJ9muKFlZWV27dgWVMmMaOHhlZGTYnwy6CMAfcGhDE0dduAtApwC9ACxv0KABHO8F25af6rI36GAyfO7169eH/0I/BX2TiIgIfDEgH7oVGCTAa1Ffngp+ParpfpaVlV24cCFpRxDWgDpUBVhbWxfes1sINA3kLxoLFiyA5b6+vpeYpn///nBYnjhxgpQFxs/P78qVKzt37mzYsCHV+fXt2/fGjRv+/v6wHDYYNGgQ9I7Hjh2jtmeQoUOHGhsbHz58mJSZY8SIEaAQBw8eJGXmGDt2LAwU9u/fT8rMQT3/bt++fTdv3rx37978+fOp2bfl5eVnzZp17do1+KTIpmVkwoQJenp6u3btImXmmDx5MvR/wrgrCUEYRJCL5TIyMtq2bdumTRs4upkFDj04TFiefODAAeg+vLy8LCwsCvqBfLp06XLy5Mnz58+fOnXq0KFDZNOKsXv3biHtDUymI4xk+A7A6OXs2bONGzeWkJBQVFSkvidGRkbQYcFXBfpcsmm5qKb7GQZ106dPJ+0IwhpQhyobcKGePXt6FgUaCB8fH7IFDeHdO+Tt7V3ue4f+/PmzefNmcB6odufOnR8/fkxWFLBy5UoHBwdSYBTq3iFmJ5Wm2LRpk/DuHYJPPDU1lZSZY8+ePY0aNUpOTqaK3759A3kGF5KTkxszZkx4eDi1vBzAQKd+/foJCQmkzBx47xBSLRBEh6h7h2bMmEHKjOLi4sL+5NevX8+bN8/MzAz2FbQYderUgTEuWcco1WJvFAOT6YAnt23bdtu2bdCDw7fF0NBw2rRpQUFBZHUFqI57o127dnjvEAtBHapUqCn5S4VsURQWziyXkpKyZcsW6o3AUf3gwQOy4i+LFy8GtRDGjfg4sxwdUDgYgtAvuYyJiZk0aRL16KdRo0ZFRUWRFWUEZ5ZDajkC6lCtnT0sPT394sWLrVu3hr0kLS3du3fvvXv3NmzYUBi/eWdmZgppb2AyHeElU9+62bNnw9+nT5/u2rUr1Uk5ODgcO3asIsObarqf4cARRjJSQVCHWA3bdCg3N/fs2bPQikFbZmNjc+/ePbKCBuoQncrUIeDTp08gQjIyMmpqaosWLUpMTCQrygLqEFLLqVodYnky9EeHDx+GJgJ2kaKi4vjx48PCwkCQ2rRpI4w6s18OS4LJdKjkwucOQfs/depUVVVV+P6YmJjs2LEjPj6eWlVWquneQB1iJ6hDrIZtOvTy5ctu3bqJiooaGxsfPHiw1KvLUIfoVLIOAcHBwT169BAREYHP6OjRo+W4AhB1CEH4Ujt1KDExcfPmzfr6+jCW1dbW9vHxiYuLg+U5OTlCGuRV0yEvJhdSMhn8Z8OGDdBDUd8i6H+/fftG1pWFaro3UIfYCeoQq2GVDkGDNWbMGGlpaRUVlQULFnD7t6hDdCpfh3Jzc319fWFHQU9jZ2d39+5dskJgUIcQhC+1UIegHfP09KRcCBqfnTt3FrbzwqtzNR3yYnIhpSaDVx88eJC6lQiMyMPDoxz9QjXdG6hD7AR1iNWwR4dgS29vb2pmmOHDh0dERJAVJRBMh/4kht0+d3jx/IWTCD4+68/ffxHPa5oEwXQo4+cH//NHlixYRIInrVix7tzd5/G8Ht4qmA5lJEXcvXh0ycLFJHjScu+1Z++ExGWQ9aUhmA5lJkfeu3Rs6aLCZG/v1Wf8g77zSuamQwB8WBs3bgRrhQ+rd+/er169IisEA3UIQfhS23QImpFp06ZRrYqjo+OxY8d+//5N1pUhOeFzyKWTR1es8FmSj8+KFUdPXgz5zGPaFoEHpphMJ5H9ybD8zJkz7du3h2+UvLz8uHHjnj59StYJhsB1LjNCTUYdYieoQ6yGJTqUkpJy6NAh6kdBZ2fnhw8fkhWlwVeHcn5+eHLJe/7QFpY6kPd/RC1b95q1eW9geAIXc+GrQ7lJEU8vr1g4vGUDXZJJIWLRqufMjbsfffjBJZmvDuUmRwZdWbloZKtG+fuAhrlj9xkbdgaExnMxF/469Otj8PXVnqOdrMjDu/9i1qLbtHXbH76P+0M2LAYPHQKio6Pd3d0lJCQgCQYxUCQrBAB1CEH4Unt0KCcnJzAwcPjw4aKiopKSkt26dbty5QpZ9xcBknNSvj29dXThpB4Wuvm3jfxFRce8x6SFR289+ZqSQ7YsggADU0ymk598+9ii6pJ8586dvn37yhQ8tKp37963b9+G7ck6fghQ53Ii1GTUIXaCOsRqWKJDt27datmyJbRWxsbGZ8+eJUu5wFuHclIig3dM6GrKEROXU9a3sGhkQ7CsZ6wuIyKuoOwyY9212OTSmlXeOpST+vH5zkk9zCFZVknPwrwwuX69ehqyomJydZzd11z9nlRaMm8dyvkd9XLPlF4WHPH8ZHNaskk9TVl4I3KOk3z8vv3MJtvT4a1Dub+/vN43rV8DSJZR1DU3b0iCIdlEUw7eiGyLCcsvRieWlsxbh4B37951795dTExMV1d348aNgk9QjjqEIHypJToE/wTa/86dO0P7LysrO3jw4GJPVqDgm5wVHXBmfkdbLY6YrJKylr6eAYWevpaykqwYR8u2w7xTAdGltFF8B6aYTIdKttPmmfyFXckvXrwYPXo0Nd2ck5PThQsX6CceecA3udwINRl1iJ2gDrEaNuhQTEzMlClTREVFFRUVYQjOtzK8dCgnNez8ognm0nLSMmZdpngeDwmJgg2BuB9vblzb6NrNWkVSUlet8/oT7xKzc8k/KoSXDuWkhV9aMskSkqVNO01afDQ4uDD57a0bm9162EKytkqHtcdeJ5RM5qVDOb8jriyb2kBaXkrSpIPbwsNBzz5RyfE/3vvf+ndir8ZqkpKaim1XHX75o2QyLx3KSf943Wd6I+k6UpLG7cbPP/Ts6ce/yaF3bm+d3MdeXVJSQ6HNigMhcSWT+eoQcO/ePTs7O+hjoGV/9OgRWcoP1CEE4Ust0aHTp083a9ZMrADoCN68eZOTU8pPSnyScz8/WNW7o4qEiIK2w3Dv9edehryHBubDh/chr85vWD6iibaCiIRKh96rHkSVyOYzMMVkOv9P1iqa/Jye3GvlfRYlFxARETF37lwpKSkYacD44eDBg/CvyDruCJJcPoSajDrETlCHWA0bdGjHjh3q6uoSEhJDhgzhcctQITx0KPvNkQ0D1JUUNC3H7zsX/DW+yGVguTlJX8Iur57vUoejbNp86Y0nJayHhw7lvD22ebCWkoL6P+P2nHkWHVdkNrXc3OQvH66sW9ReiaNUr4nn1cAYsqIQHjqU+/7ktmE6ygoqZqN3+j79Elt0nrbc5Ojwaxu8OqlwlOo2Xnj5QYkAXjoUdmbHSD0VeaV6I7afePI5ttjPYb+iw29s9u6iJqJoaDvvwr0SF7sJokOZmZlr1qzR09ODbmbcuHECzruNOoQgfKnxOgStx65du6Bh5BRMqA0NO4/WhldyZnK8/+KRtpLiGi06L/V7HP4jqciPO0k/wp/4Le3cUlNc0nbkwlvxyUWHwbwGpphMh5bcyYtnss0ItiTTgP4XOmINDQ34vkE3AR1c4UPGuSFgcjkQajLqEDtBHWI1Va5DL1++bNeuHTRPDRs2vHfvXnZ2aZdtFYW7DqWEHxjaQ4kjYzzG68WfUs6p5/Pl9f7ezcQkxOwWbwwsPnbnrkOpkYdG9FbmSBuOXBzym8v9QdHvDvdrISEuar1g3cOEIo05Lx36/fHomP6qHEn9YQuepnK5i+db2IlBraTEOQ3nrrwXX+ynMe469Puzr9sgdY6kzuDZj5K5TIb9PfL0MGdpcU79md53iicLokNAdHT08OHD4RMEKTp+/HhaWhpZwR3UIQThS83Wod+/f8PRamJiAk1H3bp1V69eTU2ozQ0eyVk/X97yaGAsKq/bd8sZbhlxZ7b115MXNbacceN5YpHOgcfAFJPp0JNP80xWEK3LkuRiJCYm/vvvv9BHwLfO0NDQx8en1N9VCxE8uawINRl1iJ2gDrGaqtUheF0PDw9FRUVVVdUlS5YI4kIAdx16f3lGi/ocw/qDfUMy84oJyV+ykt4c9G6koqDQa+LRN8V+GuKuQx+uzmrVkKNvPuBEUEYul+TM5PdHVtio1pHr7nroVRJZSOCuQxHX5zlbc3TN+h578juHW51/hZ9c1VitjmyX0XufF3M47jr08fbidrYcbZOehwNSsrglp3w6vdZBXVG644idIcWm7hFQh4BLly5ZWFhAB+Pk5PTixQuylDuoQwjClxqsQ8nJyXCowngUGg1oOnbs2AH/kKzjAvfk7JTPp9a10lSSbzt4c3AsWViS2JAtQ9vKK2k4rvH99Ive03AfmGIynTIkt5dXZkdyKWRlZe3bt8/Kygq+eyoqKmvWrOFxjqhMyWVCqMmoQ+wEdYjVVKEOQavk5+dXr149aJX69esXGhpKVvCDiw7BgD/g2AAbHdlmTdaHJHOf9Toz+q7vGFU9Ccch/z6NIssI3HXo8YkhdnoyDo3XBP0sepqeTua3gDPj1Q0lmg/cEPiJLCNw16Gnp0Y4GEg3tln59Af3x5lmxTw9N0HTSLxJn1UPI8kyAncdCjo3tpmRlG2jFY+/cz9hkxUbfHGylrG4fc/l94tdpyi4DqWkpKxevVpaWho+StiHfL9OqEMIwpeaqkO/f//etWuXnp4eNBcNGzY8evRoLrefmGhwT05LDN0+u66GRP0ps69zO7OQT/zNeVPqS2gYzdz2LpHeInIfmGIynTIkuzdgSTJXjh8/ThmRlpYW2HhqaipZUZRyJAuIUJNRh9gJ6hCrqUIdgjFrjx49oD0yMTE5cuSIID0iBXcdeni0v422XPMmG0KKXVtMJzP63qlxqvoSjoM3C65DgceH2OnKNGm8lo8OnXXL16EB6wXXoSegQ/rS9jar+OjQ+Un5OtR7peA69Ax0yFDKrpEP6BDXfQs6dGlqvg718C6/DgHBwcFdunSBT9PY2Pj06dO8P03UIQThS03VoUOHDlG/gkFbAS6Uns694aPBPTk18f3WWYaa4o2mzbvF68KnH/4LpjUS1zTw2PI2kT745T4wxWQ6ZUieYcWSZK7At87X1xdsHL6HBgYGYESlzoxajmQBEWoy6hA7QR1iNVWlQ6mpqdu3b5eTk4PGaMGCBUlJxS4u4wXvs0Pass35nR265zs2X4fKenZIV5CzQ64FZ4fKoEP5Z4f0+Z4d+v703MSCs0Nl0KH8s0OGgpwdmlJwdqhiOgRN8NmzZ7W1teEDHTlyJG/VQR1CEL7USB0q/FXe0NBw9+7dgtxqSMFDhxKowbTV9Hm3eQ2mE+4smF7GYTom0yhDsoc1S5J5AUZ08uRJS0tLysx37dpFVtAoX7IgCDUZdYidoA6xmqrSoSdPnrRo0QKaIXh1wSdopuB+79A7v+nNLTlGDYaeflHKDz0UWUlvD62wVqkj33PCkTfFJIzHvUNXZjo24BhYDPIN4XrvUFZy6LGVdqqKct3GH3xV7G3zundoTmsrjp5Z/xPP0rneO5QS4bvGQV1RpvOoPYLfOxR5a1FbG46OSe+jgaklp9GmyE79dHZ9U3Ul6Q7D/wsu971DFAkJCZMmTZKXl6cuPyBLSwN1CEH4UsN0KDc3F0af0HRTo89t27YJ7kIA9+TM5I9HvO3U5dV6j9sfmkIWliQl7KBrbzV5ddulhyKK/FzGfWCKyXSKJHMfMeQn92VLMh+o+4io+TwsLCzg+1nsBuZyJ/NFqMmoQ+wEdYjVVIkOpaenr127VkREBIbOMG7mO9llMbjr0K8P+4d0V+TIGI9d9pLbzHLRbw70bS4mKWa7aMOj4vO/cdeh1IhDI3orcaSNRi95nk5viGl8fX9kQEsJCZFG89eWYWa5tI9HRvdT4UjpD18UxG1muZgPJ4c4SYlzGszxuVuGmeWiTroOVONI6gydG8htZrnYyDMj2kiLcyw9lvnHlW9muUJycnKePn1KPYaoT58+MTElphv/C+oQgvClJukQjDuvXr0KrSs0Djo6Ohs3boRBG1knGDzqnPEj8NzYenocrfpjDt/hZlhpd46Oa6jF0TMecyag6BMYeAxMMZkOPdmfZ7I2a5L5Av92+/bt4OfwzYQ+GoyI/oTWiiTzRqjJqEPsBHWI1VSJDj1+/Lhdu3agQ82aNSvHyJW7DuVlvzq4rq9qHXntBhMPX3oRk1Ckw83N/fU18tr6xe0VOcr1mnheK/l0IO46lJfz5sjGgRqK8pqWbgcvPI/5UaQ1zsv99S3yxkavTsoiBU8HCvhGlhfCXYfyn2j072BNRTk18/H7zgZ/K5acl/Lt461/l3dVFVU0sJ13qeTTgbjrUF5u6Kltw3SU5FRMR+86HfQ1vpgSpcR8vL11ZQ91MUV9qznn7nwhiwspqw4BmZmZ06ZNk5aWpq49gCJZURTUIQThS43RIRifXb9+HYZoMOJUVFRcvnx5WX8CA3jVOT0u6sSYzsaiYmZ9XQ+HxiT9KdruZP5J/h562LX/P2Kixp1HHf9U7AlsvAammEyHljz+EO/kTmxJFgDop3bs2KGrqwvfz4YNG547d66w56pgMg+Emow6xE5Qh1hN5etQbm6ul5eXmJiYtrb2xo0by/HSPHQoLycl9NwCVwspORk5i27uS0++fPElsYCExPe3b/47oaetqpSUjkrHtcfeJJS8gIyHDuXlpH64uHhCfUiW/afL1CUnXjwvTA71v7VlUq/GalJSWsrtVh959aPktNY8dCgvJy3cz2tyQ0iWMes0yfNYSMjnv8lhd/23TenroC4tqVGnjc/BF/Elk3noUF5OeuRVb3crKQVpaZOObouOBgdH/U3+cP/uDvf+TTWlJdXlW3vvC44rmVwOHQL8/f0dHR2hX+nUqVN0dAl7KwB1CEH4UmN0CFzI2dlZVFS0Tp06Pj4+CQnFLssVCF51zs3JSQnydXewkpaRM201dNnxC69SkzNz8slMTnt98YT3sFamcjJSjRzcfZ/9yil2UTKvgSkm0ymS7Fg0+Rc92X7KSbYkCwaMQ6Anhe8n9FxOTk5Xr16lllc8mRtCTUYdYieoQ6ymknUIXOjly5dt27alhssw1BZ8QrlCeOlQvraEPzs1rpMJR0RUXsWwYUO7JgU4NLEyM9OUFRGVrePkvupyTFKxK8MK4KVD+doSGXzWrcs/kCxXNPkfMy1ZUVEZOcfJPpe+/Sxy7TGBlw7lJ38MOT+hmwVHVFRW2aBBA5LcpIm1+T/acmJi0tLN3ZZd+JpQWjIvHYId/jvq5aXJvRpwREVklCDZlgQXJMuLiUpLNR3vde5zQmlXFpZPh37//r1o0SL4fHV0dI4ePVrq7QGoQwjCl5qhQw8fPqRmEJWWloamOzaW+3NleMKvzrkpEb5bJtTXFOVwlOtZNO3UsWu3fLp27NTUwkSZwxHTtBi42fdFSsn+ht/AFJPpkGQtnsknn7MqWSBgRLFy5Uo1NTX4rrq4uFy+fJlaXvHkUmGkzqUCyahD7AR1iNVUsg5lZmZ6eXkpKyvr6elt2bKFLC0jvHUIyMkODTjvOWtAk3+0oGWj8U/LbtPX73wY+oPLVeu8dQjIzfkQeNFrzqBmFvkzqNEwa9HVfc32B+/juSTz1iEgNzf8sd+yeUOaW+qQSIJps85TV2+99zau2EV0f+GtQwVEPL26fP7Qlg3yrwWgUa9pp8mr/r37JpZLcvl0CHjw4AF8qURFRTt37hweHk6W0kAdQhC+VF8dcnNzo4ovXrwYNGgQNAWKiooeHh48GkC+CFDn9O8Rp3Yu6tfBWlmStHEUkspW7fst3un7PKbUWygFGJhiMp385F2Lq1eyQCQkJMAYAMYn8JKdOnUKCgrKyclp37594feZQZiqc0kgGXWInaAOsZrK1CFoWV6/ft2kSRNoa/r16/fpU7HJqAWFrw4VkP7j/Y1T++fNmjOOsHTpqjP+wXFFr0kuCl8dKiA9IfTmmQMLZs8lweO8vFaeuh0Uy+vOYL46VMCfnx9unT24YE5h8hJPn1O3nn3n4isFCKBDQMbPcP9zhxbNnUeCx3l6Lj9548m39JK/tBVSbh1KTU2FWomJicnJyZX6XBHUIQThS/XVocmTJ8Pf3759Gz16tKSkJIwvZ8yYwe3SWQERtM5/woMubfL27Ne3f8G5hf59+y5etvFSUDj3RlTQgSkm0/kTUf2SBSA+Pn7OnDnUOaJRo0a9evXKxcVl0qRJZDVzMFjnYkAy6hA7QR1iNZWpQ0lJSWvXrlVRUVFQUCj3qSFAMB0qD4LpUHkQTIfKg2A6VB7KrUPAo0eP4DMSEREZPHjwu3fvyNK/oA4hCF+qqQ45OTl5eHjAmGz9+vXy8vISEhJubm5RUcWe8VZmylLn3Nzc7P/D74LssgxMMZlOdUzmD3i7u7u7tLS0qqrq7NmzoUOB7zNZxxzM1pkOJKMOsRPUIVZTmToEw+J27dpxOJxevXo9f/6cLC07qEN02KlDCQkJy5cvl5OT09TUPHnyJFn6F9QhBOFLNdUhZ2dnSL58+bKBgQG09l26dHnw4AFZXQGEV2ehDkwxuZBqlBwUFDRgwAAREZE6deqAz8OQg6xgDqHuDdQhdoI6xGooHUpNpT/imRkWLFgAOkSfUNXPz09JSQk6yA0bNnCbglkQPD09QYcSE4s9j5QBli1bBjoUFxdHyszh4+MDOvTtW4kZuCvM+vXrQYe+fCkxT3aF2bx5M+hQua9pDAgIoMZDCxcuLPZxb9u2DXSo1NuKKsjOnTtRh5CaQXUUgKysrI4dO5qamlK/fEEDcv78eXg5sroCCK/O0DphciGYDGRnZ1+/ft3e3h6+wwAMOcgK5hDq3kAdYieoQ6zGw8OjZcuWpMAo3t7eIFqkkJf/6NXFixeLiYlZWlo+ffqULC0XK1eudHBw4Hf+vDysXbsWFA5aE1Jmjo0bN4LClbyLpuLs2LHDyspKGEK7e/duULikpCRSLiMwmBs2bJikpGSHDh2KXS934MABGCcJ4/zekSNHQIdKXp6HINUOOIIcHR1nzJhByozi4uIipOS+ffvCCBKa+gYNGvj6+pKlTCC8OmMyHUym8PPzg74Vvszg9sHBwWQpcwhvb0CFXV1dSQFhDahDrMbT01NfXx/+u4JpWrduraurCwoEf4PAzJ4928bGRkREREdHZ8KECdQ25aNNmzYQsnDhQlJmjrZt22pra8+fP5+UmQOUQEtLa+7cuaTMHJ07d9bU1JwzZw4pM0fXrl0hedasWaRcRuADoqbN0NDQGDly5Jo1a8iKFSu6d++urq4OKk7KzNGzZ0/QIWGcd0KQSiYjIwNaJGju9jPNrl274DBhPPnIkSOnT592cHDI/0Wdw6lXr96GDRsOHTpEVlcMIdUZ2L17NyYXgskUBw8e3Lx5s4WFBXyTJSUl+/fvf/bs2aNHj5LVFUaoe8Pc3Hz69OmkHUFYA+oQq4ERpKysbMOGDa2YBgbBkNygQQP4G/JVVVWhWREXF69fvz54EbVN+YAxuoyMDOSQMnOAsQgpGSxLWlra0tKSlJkDzFBIyWCzkAz9ASmXEWtra1tbW2rSUsgxMzMjKwqSpaSkoMkmZebQ09ODPqZ89zshCKvIysrq2rWroqIiHDvMYmJiAg0ds8lwONetWxeOdBEREQiHYxxeBQ5GsrrCCKPOFKampphcCCYXAt9e+NbJycnly31BL2ZgYADfc7K6Ygh7byxcuJC0IwhrQB1iNXPmzLGzs/vw4cM3ppk6dSoMT8PCwuDvoKCg/v37Q4MCo/YHDx58//6d2qZ8zJgxA/zqzZs3pMwcs2bNAhd6+fIlKTPHvHnz4L2HhISQMnN4enpCA/3s2TNSZo5ly5ZBf/D48WNSLiMxMTFfv34dPnw49bmfOHEiOjqaWuXj4wPdTEBAAFVkkNWrV0OdQ0NDyfcbQaotGRkZzs7O0HK+YJqnT59Cs89gMrSZ0LjB0ScrKwvHe4cOHa5cufL+/XtYTraoMIzXuRBoPDG5EEwuBL69b9++dXFxyZchDge+24sWLXry5Akj32qh7o3GjRtPmTKFtCMIa0AdYjUzZ85s0aIFKTCKl5dXkyZNqL/v3r3r4OAgLy8/ceJE+uQK5WP58uX29vaM3J5bjFWrVkELlZaWRsrMsW7dOmtr64q/95Js3bq1UaNGwphY4r///gPtjI+PJ+VysX///rp166qpqa1fv54sysvbs2cPCBL4Eikzx4EDB0CH8N4hpAZA3Ts0bdo0UmaUNm3aMJv84cOH3r17S0rmPz9zzpw5ZCmjMF7nQjCZDibT6d69u4mJiZOTk7i4eLt27V6/fk1WVBjh1blt27Z47xALQR1iNcKeaPv379/w99KlS6WlpY2Njc+dO1dxjcGJtumwc6LtQiIiIqA7gRFS+/btC80KJ9pGEL4Ib2Y5xpPhWKbOAysoKIiIiHh5eZEVzCG8vSG8OeswmU51TM7MzARpge/28ePHtbS04BsOzs+IEQl1b+DMcuwEdYjVCFWH7O3t09LSoEEZOnQotCMtW7ZkZD5o1CE6LNchYPbs2fDpm5qahoSEUEtQhxCEL9VFhxISEqBNlpSUVFJSGjt2rIGBAXQrZB1zoA7RwWQ6wk6eM2dOcnLyggULqGtBp02bVvFBglDrjDrETlCHWI1QdQiSk5KSIiMjnZycREREhg0bBl0aWV0BUIfosF+Htm3bJi0traWltX//fmqqcdQhBOFLddGhAwcOWFhYiIqK9u3bNyQkpF27dpMmTSLrmAN1iA4m0xF2MvV9joqK6tOnj5iYmKGh4ZYtW3JycqhtyodQ64w6xE5Qh1iNUHWoRYsWsbGx58+fNzExUVVVXb16dVZWFlldAQTVoZyM9N9JP5MSCMnJv9Izs8m60hFUh3Lzk5PKkiyoDuVm/iljsqA6VEpyBu9kpnTo2rVrdnZ28vLy06dP/1bwIFrUIQThS7XQIWgfunbtKiIiAsd4QEAAJIMOCZicmwtDyr/we45cmepcpuQyDUwxmU5tS3748GGzZs04HI6Li8urV6+oheWjTHUuE5CMOsROUIdYjVB1CI52GKZ7eXlJSkqCwFy5cgXaH7K6AgimQ99C7+xZu6h7py72+Tg42A8cNGrdIb+38Slkg1IQTIdiPtzbt25Rj85dC5LtIXnAyDUHLr6J47ETBdOh7xH392/w7NmlG5Vsb9+/3/A1+y68juWRLJgOxUY+PLhpSe+u3Umwfb++w1btPffyO49nrDKlQ+Hh4aNGjRIVFXV2dqauukYdQhC+sF+HUlNTFy5cKC8vr6ysDI0n9WhsJycn/sl/woMubVq2uG/f/t3y6d+37+Jlmy4FhXO/ekDQOhcke3v2oydv5Jks6MAUk+n8iaiFyTCAgQ5XR0dHVlZ26tSp5X5GOSBoncsOJKMOsRPUIVYjVB1q06ZNREREnz59OBwO/JepS8X46VBu+qd7J9YM6NXUUFUKXpmGaj2rbhNmHr0fzmWCN7469Cfqge+6QX2aG6lJk0iCinGjLuOnH777gUvzyFeHMr4EnN4wpG+LuhoyJJKgXLdh53HuB/xDf5Iti8FXhzKjA89uHtbf0Vgz/7JnGkqGDTqNnbz/1nsuk9IxpUMwjoFKwguqqqrevXsXloAOWVhYoA4hCA9YrkMw6rpx44aJiQkc2n379qVmt8/KyuKX/Cf25ZndS/p3tFHJn4Tu/0iq2HTsv2T3qRcxpY5OBajz/5OLNvySyta8kgUYmGIynfzkPV4DamcydIjUrCEGBgbnz5+HryVZUUYEqHM5gWTUIXaCOsRqhKdDCxYscHR0fPDggb29PbQdHh4e1G+HFYe3DmXEPLkyu72VPDR0WiYt+vUb4VrAeNcBnTo0VBOHqpj0c9v17mtGKZXhrUOZ359dm9vRtg4ka9Zr3rdvYfLAzh0bqUtAcr3e4/57E51eSjJvHcqMC76xsLOdIocjoV63WZ8+w/8mD+rSyUojv/k26j5626vPpSXz1qHMH89vL+7aVJnDEVczKpLctbO1Zr7TGXQdseXFp7RSztoxpUPA2bNnqYfZ7du3D4o7duxAHUIQ3rBch8B/+vXrl9+EGBj4+vpSC/kl56a88N0yqL6mGIejXM+iaaeOXQt+p+/asVNTi3rQTIlpWgzc7PsipWRLV5FkE57J/AammEyHJGtBV8o9+eTzmpzs5+dnbm4O3/xOnTqVe5Y5fnUuP5CMOsROUIdYjfB0yNPTs2HDhlu3bjUzM5OVld2+fTtZUWF46VDal8D/hnXR4MhqN+w07d/DjxMSClu4lA+hF9fN6tPQQL6OiO3UNfe//MokawrhpUO/vz7ZPbKrFkdGq36HqZsOBib8KExODf/gt2FOv0aGCgocq8kr/aNKJvPSod/fnu0b3UObI6Np0X7yhgMB8XGFbpIWGX5l47wB1nXryHMaTlh+61NyiVnKeelQ+vfgg+N76XBk1c1dJq7d9zAutvBuod+fIq9uXjDI1lhRnlN//NLrkUklkhnUoUePHjVu3FhCQsLd3R2GNbt370YdQhDesFmHIGHLli1SUlLi4uJLliwpnEOfV3Jubk5K0KlpTaylZORMWg72Onb+VWpSRnY+GUmpr84f8xrc0kRORsqqybRTQSnFb+vgk5waTE8+9zKFnnx86RB6ck7RZF4DU0ymQ0uWNWlRNDmZnuww1bcGJ6ekpEC3Sz1ia9WqVdTTRMoKrzpXDEhGHWInqEOsRng65O3tra+v7+bmpqurC0PhGzdukBUVhrsO5f4OWDu/tYSESn3nVQ9ffM8obiXZf9LenNo9Uk9OXs14womrH4ufEuGuQ7l/AjcscpGSULZo5XM/JOZPZtFGMz/57Zn9YwwU5FQMxx/1iyyezF2Hcv882ezVTlpCyayl951n30ok5/z5/f78Ide6inJK+mMOX/hQPJm7DuVmBm337igrqWjSZMmtJ19LSw69eGyiiZKcou7I/WfDiiczqEPh4eGjR48GK27btm1ERMS+ffssLS1RhxCEB2zWoZs3bzZp0gSGgzDwevLkCVnKOzk9LurE6C71RMXM+ow/9O5b0p+i7XPmn6Rv7w6N7/ePmGi9LqNPRMXlT0L5f3gnfz45lmdyTJHkosNXXgNTTKZDSx53kGeyceeanfzq1atu3brB99/c3Pz8+fNkaVngVeeKAcmoQ+wEdYjVCE+HfHx8lJWV27Vrp6KiMmDAgLdv35IVFYa7Dv14vqVXWylR1YZz//ucVXx0T/gRcWFidxlZMdPpy/2/FduGuw4lvtzet4OUqIrl7G0fuU319uPT5ak95WTEjKd43fxabBvuOpT0eueALjIiSv/M+Df8D5d59xI/35jRR0FG1Gjiwqtfim3DXYeS3+0d1k1WRNHEfcP7tKJ9QCE/v/rP7q8oI2LgOvfy52LbMKhDiYmJK1eurFOnjpmZGQyeDh48CMmoQwjCA9bqUExMzJQpU0RFRdXV1Y8ePUrNnk/BIznjR+CZMcZ6HK36Yw7fSSMLi5N25+i4hlocPeMxZwJ/FDlhzTv53Nh6gicHxBe534PHwBST6dCT/Xkma9f0ZFgOFmRgYABGNHLkyMjISLJCYHjUuYJAMuoQO0EdYjXC06HVq1dLSkrC2FRWVnb69OncZz4oM1x0KDcv78VZV4d6IubWk69HcJEh2Cwt/Oy/rVVUpDuN3feiWAR3HXp9flJTM45ZwwlXP3CdKjw37ePFbS5qqlLtR+0KiSMLCdx16N0l9xbmHBPL8X7vS1yu9pfc9M9XdrTXUJN0GbLtaSxZSOCuQ++vznSy5Bibj7n4+nexE0OF5KZ/vbGrk4a6ROuBm58Ue9sM6lB2dvaJEydAj+HLcPXq1SNHjqAOIQhvWKtDO3fuNDIykpaWHjNmTOFlchTckzOTPx5Zaqsur9Zr3P733Kf3TAk76NpLTV7ddumRj8n0H2h4J3vblSH5UESRZO4DU0ymUySZ+4ghP7lPzU/OS0pKgoGNgoKCjo7O2rVryVKB4ZFcQSAZdYidoA6xGuHpEDQQHA4HGgsRERGmnjhEwV2HHh7tZ60l16Lp5hcp9CatKFlfH5x2VTUQbzl405NPZBmBuw4FHh9kqyPb1H5DSMm7dwrJ+hZ4fqK6kUSzAeseFXMI7jr0xHeYvZ6Mg+3aoMSiF4fQyf4edGGqZl1xh94+DyLIMgJ3HXp2dnRTA6nGjVY/jeP2qxjUOe6533SteuKNeyy7F06WERjUIeDhw4dqamrwlTh69CjqEILwhZ069PLlSxhswYHcokWLx48fF3t2Avfk1IT3Wz0MNMWtps+7zeunsYQ7C6ZbiWsaeGx9n5BKluXDO3mWYRmSt7xNpCdzH5hiMp0yJHtY1/jkvNzc3FevXrm4uMCxYG9v//TpU7JCMHgkVxBIRh1iJ6hDrEZ4OrR+/XpoJgAxMbEDBw6QpUzAS4f622jLtWiy8XnJyQwKyYy+f2q8qr6E4+DNT8ugQ4PtdGWbNl4XXHLKgUIyvz06O0HdUKL5gPWBZdCh4Q760vY2q58lcNehrO/Pzk8GHWrSe+XDMujQmKaGUnaNVj6J5aVDIZfcQYfse3jfF6oOgaLUq1cPvg+bN28GaYHk8PBiL8gAqENIjYGFOhQfH0/9Iq6kpFTqL+I8pCWR0qFG0+be4jUw/eE/f1qj/IHp1vdFBqa8k/OHvAInCz6YxmQaZUieUUbRqobJhG3btmlra0tKSo4bN456yLiA8E0uN5CMOsROUIdYTSXokKam5rlz58hSJuCuQ4EnhtjqSdvbr3jyg/u5qIzPt44MUdWRaD1s67NosozAXYee+Y5obCBla7ssMI67aGVE3z0+XF0PRGvTky9kGYG7DgWfGdPESNLaaklA6Q8+KCAzJuDkKE198eb91j6KIssI3HXo+QW35sYSjRosfvCF68VyeZmxj0+P1TIUb9pr5cNicsisDkEO9aPyggULvLy8IDkiopjZMQDqEFJjYJsOZWdn+/n5GRoawlE8fPjw6OhizWc+3JPTEkO3zzTSkKg/Zc71YpcSFyH+5rwp9SU0jGZuD02k/4zDO3l23TIkb3tXJJn7wBST6ZQh2b1BjU8mJCQkwFo4InR1dY8dOwbfUrKCH3yTyw0kow6xE9QhVlMJOtS4cWN/f3+ylAm4T6Xw8daiNnYcddNOu/3Til7D8X9+xz3d7GGoLKs2ZMaZsKKzyPDQoc/+S9rac9SM2++8lZLNLTk+ZOssY2VZ5YHuvqH0JhXgrkPR95Z1aMpRNXLZfj2J2/QP6Qmv/ptroiKr2G/isbfFLgfnrkNfH67s2pyjbNh6y+WEDC7TP/z5+W7Pgn9UZev0Hn/odbEvAbM6BO992LBh4uLio0ePdnV1ZTCZDuoQUmNgmw5FREQMHDgQmvSGDRty+4WLe3J2yudTaxw1lOTbDt4cXOwGSBqxIVuGtpVX0nBcc+pzCr3V4p28rpWm4Mm+n37Rk7kPTDGZThmS28sr1/Tk/3P9+nUHBwc4Ljp06PDu3TuylB+CJJcPSEYdYieoQ6ymEnSoW7duQUFBZCkTcNehP99OTxiixxHT7TnpdhL9lPf/+fPu0bpW5mIS0m3W7g4pvgl3Hcr4fnbycAOOqHb3CTcSS78/NSP06SZnSwlxSadV/wUXT+auQxmx591HG3FENDuPvxqfTBYWJfNDyLZ2DSXFxFsu3/Kk+CfFXYcy4y/PGmfMEVHrOOpSzE+ysCiZES93drKWEhVr7rUx8FexU0jM6hB8XgsWLFBUVOzUqVP37t0h+dOnYqejGAB1CGEzWlpaVKsI/PxZ+kFZCKt0KCcn58SJE0pKSlBzaCdLa37z4ZGc9fPFjemWdUUV9PptOVtk/gUa8We399dXEK1rOf3Gi59FTvHzTr45o4Hgyc8TiyTzGJhiMh168hlu51oKkuvUguRC4EBetWoVHBfS0tL79++HLypZwRNBkssHJKMOsRPUIVYjbB0SExNzc3Nj9qZ57jqUl/f55qEpFgbS0tod564/H/QukSwu4E961JObWycMqi/F0Wre578noSVGI9x1KC/vy+2j0xoYykhqtp+99uyzdwlkcQEZfz4/vbV90pCG0hyNpj23Bb4vkcxdh/Lyou+c8GhUV0Zco63HqjNP3xZ5W5kZX57d/m/qcGsZjrp9t38fvinyuvlw16G8vK8PTs22MZYRU3Oe7nPq8ZsiyVmZ0UH+u6aNspXlqNl13njvdYlkZnUoNTV1586d+vr68NnZ29ujDiG1jXwHKsrZs2fJutJglQ5FREQMHToU6gxHbmBgIFlaAl7JmcnxtxaOtJYUV2/Reanf4/AfSWQFRdKP8Md+Szu31BSXtB258FZ8kRm++Cb7Ly6SXOSnHUh+UiS56P2fvAammEyHltzJi2eyzYian0zj8ePH0AvD0dGjR4+XL1+SpTwRMLkcQDLqEDtBHWI1wtYhSUnJRYsWlekWQ77w0qG8vO+Pdi5vr6EswlFo0GW4t+/JGwEFPAw4t33rlHYNNDgc6fr1x5y4963Y5Wz58NKhvLzYx7t9OmqqiHLkLTsPXXryRGHy+f+2u3dopAnJ5hYjj/t/KSWZlw7l5cU93be6i5aqKEfOvMPgJcePX6eSAwIu7PpvWicbbRGOpJnZsCO3PpdyxouXDuXlxQcfXNdNW0OUI/tP24FLjh27RoIDLu7eOaOzrY4oR9LEZMjB659KOePFrA5lZmZeuHABXMXIyKhevXqWlpZRUcVug2IA1CGEnUhLS1+5coUU8vJ69uyZ70McXv0je3QoNzd3//79qqqqCgoK0JQVm1ybDp/knKj7a3p1UJcQUdBpMmLFpgtvnoeBZ0VEhD1/c2HTihFNdOqISCi377XyflSJ64b5JOcWSd54/jU92WdkUx7JfAammEynMLmOdtHkF/Tknj73akXyX+CIgOMCjg44zLds2VJsusVSETC5HEAy6hA7QR1iNcLWIWgdVq1alZBQ4tRDBeCtQ3k5Pz4GrZrYQVlDXkZGTkZaFqpQgJw0FGXUzRqNWX/qRVqp57N561BeTkLU87VTOqlqKpSWrGZSf9TakyGppSbz1qG8nJ+fX65376KuxSXZfNjKY8Eppc48x1uH8nKTot9snNFDU7vUZNV6ZkNXHHmWXGoyszoEPcStW7egqtra2np6eqBDXOtcAVCHEHYybdo08tdfKB2KiYkh5RKwR4e+fPkycuRIqG3Dhg1fvHgBdkRWlIBvclbSw9NrOtioc0RllVS0DQ2MKAwMtVWUZEU5mjbt5vo+LP6s6XwqkqwsK8Yjme/AFJPpUMm2GjyTiz/TO58amUwBRwQcF1ZWVnCM9OvXT5AOSMDkcgDJqEPsBHWoaoBeFkb2cHBu376dLCoNYeuQrKwsVCA1tfQbecoHHx3K58fnN757lwzu2ERSRBRqUYCSsk7HkTN3Xr77JSGdS2/OR4fySfzy9tT+pUM7N5USFSPBHEUl7Q7DZ/x3yf8z12Q+OpRP4tf3Zw4uG96lmbSYOAnmKNTRbD9s2vaLt6N+/ObyexMfHcrn59ewc4eWj+jWXFZcggRz5BXU2w6ZuvX8jah4bsmM69Dt27ehqlpaWqhDCEKdIHr06BEpl4A9OrR3715tbW1lZeW5c+empHB/tqdAyTkpCU9vHVk4qYeFjgrVGBWgomPRY9LCo7eefE0ptUEqU7KuKknNR0XHnGeyAANTTKaTn3z76CJMpgPHxfz581UK2LBhA1nKHcGTywokow6xE9ShKsDT0xOOdOrvjh07KikpUX+XRNg6JCcnt3Pnzt+/i03hViEE0KF8/sS/C3p48tiJ3fns2bP73Dm/4LBonhURQIfyyfjxPvih73EqeTckn70UFPqFZ7IAOpRP5o/QkADfEyep5N27z565GPT+cykX3/0fAXQon8yEsOcBp/6ffObMhWfvonhaKrM6lJubGxgYaGNjo6ioCOMq0KEvX4rNRs4AqENIdcHNza2wlS4VluhQfHx8//79oarNmjV7/vw57wuBBE5O+Bx88fhhb+8V0JwvXrzC2/vw8YvBn3lcRVCm5BNHiiRfCI7ikSzwwBST6RRNXl7Lk/N/73vx4kXz5s3hSOncuTPf3k3w5LICyahD7AR1qLIJCQmBA5J+DQYUe/bsSQpFEbYOKSgoHD16NDOT+8N6yg60Y4LoUDkQUIfKgYA6VA4E1KFywKwOAW/fvm3SpIm4uLikpCTqEFLLkZaW5vFDFcAGHcrOzj58+LChoaGcnNzcuXPJUu6woc5lRagDU0wupMYn5+bmwjEiLy+vq6u7detW+LdkRWkItc6oQ+wEdaiyAQkBSKEA6qo5UiiKsHVIUVHx8uXLZBFDoA7RqUY6FBoa2qxZM1FRUTAi1CGklgPNY3p6qXftEdigFtHR0T169ICqOjk53b9/nyzlDuoQHUymUxuS4Rhp06YNHC/w38jISLK0NIRaZ9QhdoI6VKlA/wqHopaWFikXcOzYMVjo5uZGyjRmzpzZvHlzOH5ImTk2b94ML6qkpHTr1i2yiCG8vLzs7OyEoXAgLTY2NomJRebnZoTVq1dbWVnxmJGp3IC0NGzYUBgKt3XrVhAtBhUO/Kdly5aUDoFoxcZyfyxeedmzZw/qEMJ+rK2tS06uUAxKACZNmkTKzJGdnQ16wzc5Kyvr9OnT2tra0JIvW7ZMkPmyBEwuB8JLhveFyYVgMp2yJsP2y5cvh+NFTU1t//79PH7vEGqdnZ2dUYdYCOpQpQJdLByKrVu3JuW/wEKAFGjMmjWrWbNmzN7bQ7Fx40Z4RRUVlYCAALKIIZYsWQI6lJRU9KkVTODt7Q06JIzzTitXrgQdEoYAbNiwAXSI2anMKf7991/QIQbP4YDBUr+ciYiIgA4JQ+F2796NOoSwnEePHhkZGZECd0CHHB0d3d3dSZlR4EjkmwzHfr9+/URFRWFjwR+lLUhy+cBkOphMhz3JwcHBLi4u0Me1bds2IiKCLC0N4dUZXrrUn7+RqgV1qFKBXhaGm9wmdSUFGsuWLVNWVu7SpUsPpoGRNLyipKSkk5MTWcQQMN5VUlLq1KkTKTOHubm5oqJix44dSZk5LC0t69Sp06FDB1JmDtjPkNy+fXtSZg6wLAUFhXbt2pFyhenevbuGhgb1VYRkYewNa2tr+HrwvkoBQaqQ9PR0aWlpUuBJZmYmHCNwgE9iGhgq6ejo8E6eMWPG8OHDoaWFo7Vu3bpDhgwhK3giSHL5EF7yhAkTMLkQTKZTjmQ4UoyNjeGogcN86NChHh4eZEVRhFpnXV3d2bNnk3YEYQ2oQ5VKwVCzlMm1qeWkQAN0SFVVtXfv3v2ZhrphCXSobdu2ZBFD1K9fHxSuZ8+epMwc0DZB9w+jalJmDlALSAYfIGXmgP0MCte1a1dSZg5qFjhQZVKuMH379tXU1KS+iqBw3bp1IyuYo3HjxqhDCJuBLz/5ix9ZWVmdO3eGMVMrpnF0dIRDm3eypaWlqGj+YwoMDAycnJycnZ3JCp4Iklw+MJkOJtNhVTIcKa1btzY0NCzo6DjQH8HhQ9bREGqdYbAxf/580o4grAF1qFKhjkB/f39S/gu1nBRoCPveIRUVlcDAQLKIIZYuXQqjXt6Pvygf1L1DP3/+JGXmoO4dEsZleNS9Q8K4DI+6d4jBy/DS0tJcXFzgW0FdLCeMO6n27t2LF8shrKXURpjbDQbUvUPjx4+HP5glOTm5ZcuWPJLBxI4ePaqvry8vL+/p6RkdHQ19BFnHE77J5UZ4yb9+/cLkQjCZTjmS4UiBTnP58uUKCgqqqqq7du3KzMwk62gItc7QbkycOJG0IwhrQB2qVMzNzaHH3bdvHyn/BRaW2hODDjVr1gwOIVJmDhimwysqKSndvHmTLGII4U2lAE0Y6FBCAo/nEJSTVatWgQ7FxcWRMnNs3LgRdIjHs+3LzZYtW0CHYCREyhUmKiqqRYsWhVMpCOPeIZxKAWEtJVtgOGx5XDgHzbKjo+OUKVNImVFat27NO9nHx0dSUlJPT+/hw4dkkWDwTS43mEwHk+mwLTkoKMjU1BR6Oh5naYRXZxcXF7x3iIWgDlUqI0eOhE632AMiqOnmSnbGAE60TQcn2qaDE20jCFNQLXBJzM3NyRYlAB1qJZypePkmv379ukuXLlC97t27l+n8cBXWudxk4NTSNDCZTrmT4+PjBw8eDJ0d/PNHjx6RpTSEWmcQLWEkIxUEdahSeffuHfRhcDCQcgFnz56FhWBKpEyjEh7DeuTIETg+yVImQB2iU4106M2bN02aNJGQkMDHsCK1Ck/u8DivW4VqsWXLFk1NTQ0NDWgEyjTvKOoQHUymU6uS4eu6f/9+PT09ZWXl5cuXl3wtodYZdYidoA5VNiAhACkU0LNnT1hS6i0xwtYhOTm5nTt3MjuRN+oQneqiQ7m5uYGBgdTEDyoqKqhDCMKbqlKLtLS0YcOGQevdvHnzly9fwpFLVggA6hAdTKZT25IjIyPbtm0LxxEMwEo+F0SodUYdYieoQ5WNm5tbMR2CYrEHsxYibB2SlZXdvn17amoqWcoEAupQTlrsl4igZ88eEl68eP0lPjmbrC0VAXUoPzky+FkQCX744vmrL3FJPJMF1KHc33HR9OTnz199jk3KImtLRUAdyk/+GBL0/+SQl59jf/JMZlaHcnJybt++DVWFr6Kenh7okDAUDnUIqTFUiVqA/Dx69MjOzk5UVHTcuHGZmZlkhWAIXOeczNQfsd8jIz9G5PMxMvJ77I/UTB7PeRVessADU0ymk4vJfPHw8KCuDL927Vp2dpEhQgWTeQDJqEPsBHWoCpCWli68Xg5spJgd0RG2DkFNVq5cyezkBPx1KPdP6o/HN/bOHdfXWN9QKh9paamGjRzGL9585cWHtAxuzR9/HcrNSP3x5Nb++a79TEiylLRUgwb24xZuvBwSxj2Zvw7lZqQlPPU/uGDCABNDIypZSsrSsvHYBev9gt+nck3mr0O5mWk/g+4cXjRxoJlRXRIsZWFhO3reuotBb1P/cEtmXIdu3bqFOoQgAlIlOgR9AfUwOmNj4/3795OlAiNYnf/8+nr/4rYpwweYm1sa5WNpbj5g+JRtF+9//cVtVp8yJY8YaEFPnrz1Ao9kwQammEznT8q3B0WSLWpzMldOnz4NXZ6srOzMmTMTExPJ0gIqmMwDSEYdYieoQ1UDHA9gI0ChF5WKsHVIUlKS9/Xx5YCfDv3+8eTwijGNGukryohT++AvMsqa9dt09Tr24HNOqQ7AT4fSE54dWzXe2spAUbZ4spKGZetOnkfuRWWXmsxPh/4kBp9Y42prY6gkK0EiCdJKGhZO7RceuPOx9GR+OvQn6bnv+omNbY2U5IonK6qbt2o7f//tyNJ/HmNWhzIzMy9cuACuYmBgULduXdChqKgoso45UIeQGkOV6NCXL1+cnJygeejdu3c5nt/Fv87ZCaFX184ZZGuhI0m1Q4VI6ljYDpqz+sq7hNLOtAsvmf/AFJPpFCTPHWzHK7m06w5qZjJP4uPjqdmtGjduHB4eTpYWUMFkHkAy6hA7QR1iNcLWITExsUmTJhVrCCoIbx1Kfnt+dz9zXXhtDRvnMSuWb9lbwJ69q2bN6N5AA5RAqWXbBf6vk0q5CIS3Dv16f3HvAEt9UQ5H3ar1qOX/T149e2bPhprQzCo2azPv9svEUpJ569CvD34HBtc3gGS1hq1GLlv279/ktXNn9bLSluZwFOxbzb4RklDKjBS8dSg1/OrhYQ2MxTgc1fqOI5Yu3VyYPG9OH2tdGQ5H3q6lx9Wg+FKSmdWh1NTUXbt26evr29jY2NvbQ/KnT5/IOuZAHUJqDJWvQ1lZWdevX9fW1hYREfH29s4p/VcjXvCrc+b3m+sXtFSHxlKibqsOw+fNXgjN+eLFC2fPG96hVV1onSXVWsxbf/N7yTa0TMnth82lJzsZ80rmNzDFZDoCJa+7HlM7kvkD3aiMjIyamtrJkyfpN1FXPJkbkIw6xE5Qh1iNsHUI6NGjR1BQEFnKBNCOcdWhHyGXljhZK3AUrfu5b/W7H5VL689/Joac2zOnq6OOFKduz8mn3n5LIysK4aVDP15c8W5jo8BRsOoz+d+Ldz/RRwpJP1+c3zuvu5OeFMewm9uJ19ElknnpUMKraz5tG9fhKDTsOXHT+TuR9EuMfyW9vLh/QS9nfSmOfpdxR19+KfHsWV46lPjm5uqO9oocecvubhvO+kdm037/Svn16tLBRX1cDKU5eh3HHH7+uUQyszqUkJCwcOFCRUXFzp07w1cCdQhBeFP5OhQTE+Ph4SEnJwcHkZ+fH1laFnjVOScrI/ri5oFGuuKqOq3Heh1+EER/DnN80IPDXmNb66hJ6BgN3HwxOiOrqIvxSf7qVySZ/oC3+KCHR5bSk4udDec1MMVkOkWSx/BINuy/qeYnC8adO3ccHBykpKRGjhxJ7/IqnswNSEYdYieoQ6ymEnSocePG0CKQpUzAXYeyEq/McavPEdFsPehEVGzJn3qAH4+uLGikIymj3HvH8bfFT4lw16Hsn9fnT2rIEVF37H/0Yyk/IgEJj28sttGXkqrTfeuRN8UvReauQ9nJNxe5W3E4as37HAqPLnVC8sRn/ssaG0pLynfdvP9l8WTuOpT9y3/pDFsOR6Vp932hn0u9OPpn8P0VTetKS8h1Wr/nefEtmNUheO/Dhg0TFxcfPXq0m5sbg8l0UIeQGkPl61BAQICVFTRGnEmTJpXvWlYedc5N+/JmS+dm6qJSDpOX3k0p7UKt7JS7S6c2lRJVb9Z5y5svaUVmtOOd/HZrV57JOfTkqNQiyTwGpphMh57sdecXz+SmNT5ZQGA4MWfOHDimjI2N7969S5YykcwNSEYdYieoQ6ymEnRIV1f34sWLZCkTcNehrw99OjYXVTBoufZMYul32uTl/Yq+6zVGtY6U7tj5lz8Wsw/uOvT90eoujqLyus1Wn/qRVVqTCvz69tB7nEYdKa1Rcy5GFnML7joU93hd99ZictoOPidiM7gkp3x/vNJNS1FSY/iMMx/SyUICdx2Kf7a5TxtxWS1b7yNf07nMIZcaF7R2ko6ipNqQqb5hxWZDZ1aHIKdNmzbwfZg3b56npyckR0REkHXMgTqE1BgqX4f27t0rLi4uJiZ25MiRYhNhCQiPOqfH+h/sr6/NMWs542IIt+zsEL+Zrcw42vr9D/rHFmnqeCcfGmAgePKt70WaOh4DU0ymQ08O5pn8D0erxicLSE5Ozrlz52RkZERFRbdu3ZqVRbriiidzA5JRh9gJ6hCrqQQdgv71wIEDZCkTcNGh3Ly8Z74j7AwkrO0WPojh1vBBt/rp6r5eqpqSLiP+Cy42wwN3HQo5Pca+rnhD63n3vnIRC+DPl5sH+6ppS7YeuvVpsQe5c9ehF+dcm9YTa9Bo9p3PpZ4aKiDj693DAzS0JRwHbAiMJssI3HXo1aXJLU3FLOvPvB35u8gvXnQyvj84NlhTV7xF3zUBxR4DxKwOgaKAqMD3YcOGDdu3b4dkZu8oo0AdQmoMlaxDkZGRY8eOhSPUwcHh2bNnZGkZ4V7nP0nh+xZaqsvoD5vi+4lHU/f5tPswfRl1y4X7wpPoPyrxTl5cvwzJez78pCdzH5hiMp0yJI+o+cll4PXr123bthUTExs4cODbt2+phYwklwokow6xE9QhViM8HVq7di30rAoKCiIiIqtWrSr8UaTicNehh0f7WWvJtWi6+UVKqdezFZD19cFpV1UD8ZaDNz0tdvMKdx0KPD7IVke2qf2GkGTubWrWt8DzE9WNJJoNWPeomENw16EnvsPs9WQcbNcGJRY770Mj+3vQhamadcUdevs8KHZKhbsOPTs7uqmBVONGq5/GlbiXqZCsuOd+07XqiTfusexeMTthVocCAwM1NTXhK3Ho0KHDhw9D8ocPH8g65kAdQmoMlaxDV65csbS0hBZ73rx5sbGxZGkZ4V7n1IT3W2boa4pZz5jvz+u5C4l3F86wFtPUn7HlfQL9cXW8k2calCH537dFkrkPTDGZThmSZ9rU+OQy8PPnTxgCKSoq6ujo+Pr6UgsZSS4VSEYdYieoQ6xGeDq0evVqKSkpc3NzWVnZ6dOnM/joIe469EBAHTrjlq9DgzY9EViHHgmqQ5Pydah/GXTosYA6dLFAh3oJQYcuC1+HsrOzT506paKiIicnB6OuI0eOoA4hCG8qWYe2b98uLS2toaFx4cKFcv96xVNats4w0BS3mj7Pv+R1zv8n4e6C6VbimgYztpZBh7bONCxD8pYyDKYxuZAyJHtY1/jksuHv76+rmz/fLYyLqCVMJZcEklGH2AnqEKsRng75+PjA8Ld9+/bw34EDBzI4QuWuQ0GnRjU2FLeym3fvK/eL5dI/XdnTTVVDqu3InSHFvIe7Dj0/M87BWKyB9ew7X7iPE9I/X9/XS01T0nnYtmfFLsPjrkMvz7s1MxG1bOhxm9e5/K/+B/tqaEm0GrjxcbEI7jr02m9qSzNRc8tpN8N5XCwXc/9If00d8ZZ91z0qdhkegzqUnJy8du1aRUVFcJUnT54cOHAAdQhBeFOZOgT+M3v2bBiuWVhYhIaGkqVlh3udf/8M2znHRF3SdLzHpW9cbuwEcmIuzxpvKqluMmdn2E/6bRy8k+eZagie/N/7IsncB6aYTKcMyW5mNT65bERFRTVu3BiOr4kTJ6an5//wmZmZyUhySaDOqEPsBHWI1QhPh7y9vQ0MDODg19XVtbe3v3HjBllRYbhPpRATuLpzSzFZ3aYrT8Zzm0oh6cvthcOVFST1XRdejSp2Dom7DsU+WdfNSUxW23758VhuUykkf73rOVJVQVJn7Dy/4mrDXYfin23s6SIuo2m79PA3blMp/IoJWDZGvY6E1qiZ5yPoVzYD3HXoR8jWfu0kpDUaee7/zG0qhZTYJz7jNetIaAyfdia82NkpBnUIQlxdXeXk5Nq1axcZGblv3z5LS0vUIQThQWXqEChQr169YLjWp0+fcl8pB3Cvc27aV7+tnbTVJRy6LbvL/fGukfeX93CQUNfutNXva5Gp5Xgnb++sI3jyxegi04dxH/JiMp0iydynwclPblLzk8tGfHz8qFGjxMTEoAeknjuSk5PDSHJJoM6oQ+wEdYjVCE+HlixZ0rBhwy1btpiZmcnKyu7YsYOsqDDcdSg76fqCSVYcUY2WfQ+GR5d67dn3exdmWWhKyan13+37vvgVddx1KDv51uKpNhwRtWa99od9pv98VEjsg8tzG2pLyyj3+e/4u+LJ3HUoJ8Xfa4YdR0TVofued59KTY57dH2Rta60tGLPbYdfFz+FxF2HclLvrZjlwBFRbtzpv9eRpV4vF//49hI7AxmpOt03H3hZPJlBHQoMDHRwcJCUlHR3d4dhze7duy0sLFCHEIQHlalDZ8+ehYNdSUkJ2sDk5GSytOzwqHPOr7BAryb1ZSUU2y/dye38U+hO7w5KErL1m3gFhv0q8osW7+QnS5sJnhyaXOR3Jx5DXkymQ0/+j2eypKxljU8uE6mpqZs3b9bQ0DA0NCycWYqR5JJAnVGH2AnqEKsRng4tWLCgZcuWd+/etbOz43A4M2fOJCsqDHcdystLfH1tRTsHeY6CZdfx607fjKBfAh8f9+TEFvd29prSHJP+HudDY0u4B3cdysv7+fbGqo5NFDjyFp3Hrjl140MWzXgS4p+e3Da9QxMtKY5xX/cz74rO1ZkPdx2C5He31nZpVocj/0+H0atOXgvLoHlJYsIz3x0enZppS3GMek0+9abko2O561BeXlLYnQ3dWyhy5EzbjfA5fjU0g3ZmKSkx+PR/s7q00JXmGPaYcOLV1xLJDOoQDLbk5OTga7Bnzx4oghujDiEIbypTh5YvXy4vL29ubn7hwoXMTO53XvKDV52z01Ne7pjrrCgvbWo9av2x+x+KzKWZ8fnD/WPrR1qbycopuszd8TIlvci4lF/yq/+KJBeZHexz+P3j9OTfRc+V8xryYjIdWrLVSJ7JznNqfnJZyM7OvnfvnpWVlaSk5Jw5c6iFjCSXBOqMOsROUIdYjfB0aP78+W3atIEhb58+fWAc3Ldv35iYYjfUlBNeOpSXl/Lh8sFJjQzFOBzl+s0HL1iwcnMBmzZ7TprQ3lRZlMNRc+669OH7X0WbvQJ46VBeXmrEtcNTrI0kOBwli2YD58//f/LkiR3/UYFXVHHstOT+2+RSknnpECR/vHFsmo0xJNf5p8mAefN8qOTNm72mTu5kriYOr9i83aK7r5NKSealQ3l5aVG3T3rYmklxOAqmDv3nzv1/svuULpYa8IqKTV3m336ZWMoAiCkdgnEMNeu6qqqqv78/LNm6dSvqEILwptJ0CIrDhg2DI9TZ2Zn+4PxywK/OSe9PuI+qLwOvpe04atKqk0fPnM/nzNGTqyaNctSG5dL1Rrgfep9Etv8//JKT6ckTV56gJ49upcMjmd+QF5PpcEs+Rk+eeuBd7UguA/Hx8Z06dYLX6t27N/WLg5OTEyPJxYA6ow6xE9QhViNUHYJ2BIbpXl5ekpKSIDBXrlzJzaVfl1tOeOsQ9Js/Y3zXT21iX1dZFhSFjqyanm3nvqtOP/mWP/FCSXjrELQzSbFnNk1v1sRYRQ4UhY6sqq5Nx94rfQO/lv4GeetQXl5mcvy5zR4tmtZTlS+WLKOiY92hh/fxgC85pUbz1iFI/pVwYdtsx2b11ORBfujIqGhbte+27OjDz9mlJjOlQ5GRkWPGjBEVFYXvw6tXr2AJ6JC5uTnqEILwoNJ0CI5ER0dHaBJGjBiRk8P9hnMBEKDOHx6cmtDbTk1ZQVKM3j6LiUkqKKvZ93b9796H0roj4SULMOTFZDr5yX0a80wu7XLLGposKDD4mTRpEvSDTZo0CQsLAyNydnZmJLkYUGfUIXaCOsRqhKpDLVq0ALU4c+ZM3bp1VVRUmHr6ED8dAjL/JD+/f3TJlGH1Tc2V8lFWVnJwcHJfsdP/XRS3CQv46xCQ9efXiwfHl7oPb2BGJSspK9nbt5riveP2m0/ck/npEJCdkfIy4KT39BENzS2oZCUlO7uWk5dtu/nmY0YWN4/kp0NAdkba60e+yz1GWllYkmAlW9sWE722Xn8d8YdrMlM6dPPmTegA5OXlp06dSu0B1CEE4Uvl6BA1Cb6pqWmdOnWgiaY2KDeC1DnrT3RY4IEN0zs2teZwRAtGpfBf66Ydp284EBgWnVr6pXplSm5mI0JP7jBtPY9kQYa8mEwHkj88PlgkWaT2JgvOtm3btLS0DAwMTpw4kZSU1K5dO6aS6UCdUYfYCeoQqxGqDkEyHPORkZFOTk4iIiIjR46kppisIALoUD656Qnfv7x9/SaEEBr64XtiKs+fPgXQoXzyk6Pfvvl/8ntITuGZLIAOFfAnMTb63Zu3JDjkfUEyV8nKRwAdKqBEclhMwi+eyUzp0I4dO6SlpaEbOHDgAPUFQB1CEL5Ujg6lpqYuXLhQQUEBGqhLly5RG5QbgeucnhT98tnjS5cuF1y2dPnSpcfPXkYn8egeypjsJ3iywENeTKbzp0iyXy1PFojbt283a9ZMUlJy7ty5375969y5M1PJdKDOqEPsBHWI1QhVh+zt7X///p2VlTVo0CAOhwPNypcvX8jqCiCgDpUDAXWoHAiqQ2VHUB0qO4zoUG5uLvU8k3r16oGFUQtRhxCEL5WjQwkJCV26dBEREenTp08FbxwCKqfOzMLskJcOJtPB5NjY2OHDh0Nv2KFDh/Dw8O7duwupzqhD7AR1iNUIVYcaN24MOgR/g8BISUkZGxufP38ejlVqg3KDOkSH5TpENfrQAbRt27Zwx6IOIQhfhK0WEydOhL/hYDE1NYUjdM6cOdnZPM8XCwDqEB1MpoPJgLe3t4iICHRSDx486Nix46RJk8gK5oA6ow6xE9QhVjNz5swWLVqQAqN4eXk1adKE+vvu3bsODg7y8vLQAaemplILy83y5cvt7e0rMhssN1avXm1nZ0cpHLOsX7/exsZGGNoJamFlZfXz509SZg5QC1C4CmrngQMH6tatq6qqCnuALMrL27t3r6WlpTC08+DBg9DTvHv3jpQRpNoCAuDo6DhlyhRSZhRnZ2cPDw/44/z58+rq6jIyMoWPQ6kgMBQTUp0xmQ4m06kuyWfOnNHW1jYwMIDuFQZFDD6AhI6Li4ubmxspIKwBdYjVzJkzx9bW9u3bt5+ZZvLkyTCYfvPmDfz96NGj3r17czgcGATfv3//y5cv1DblY9q0aQ0aNHjx4gUpMweMD6CGQUFBpMwcsJ8tLCyePn1KysyxaNEiEIDAwEBSZo4lS5aYmZk9fPiQlMvOp0+fqGsDoIaHDx/++PEjtdzb27tevXr37t2jigzi4+MDrxUayu15ewhSbaDOh7i6umYwza9fv0C0oCFNSkpavHixgoJC/fr1L168SFZXACpZeHUWRnJKSgomF4LJdBhPvnXrVvPmzdXV1ceOHWtkZDR9+nSygjmgzk5OTtS5X4RVoA6xmhUrVsjKysJIHbpDZqF+caSSwTFUVFRgWCwuLg6j1YYNG1LblA8q2dzcnJSZQ0NDQ1paGmpIysyhqakppGQtLS0pKSnwFlJmDm1t7Yokg7LCB62oqAifO7x38B+y4m+yqakpKTOHjo4O7OSKT/+AIFVOVlZW586d4SsNUsQsMMKDA1NPTw/+MDQ0FBMTk5eXh6OVrK4AVLLw6ozJFJhMpxolW1tbQ6CEhAQMCaAThGOQrGAOqLOSktL8+fNJO4KwBtQhVrN48WLoDpcvX76OaVxcXPT19b29veHvDRs2zJ0718rKSkRExMDAwN3dndqmfLRr1w4akaVLl5Iyc3Ts2BEaviVLlpAyc8CwBhwA9jYpM0f37t3BiBYtWkTKzNGzZ09IXrBgASmXEfiAoF2GT1xNTW3UqFGbNm0iK9at6927N5jnvHnzSJk5+vbtCzoUHh5Ovt8IUm3JzMzs0KEDSP4Ephk/fjw0dHZ2dv3794fBGYfDadGixcSJE8nqCkAlC6/Owkh2dXXF5EIwmQ7jyVOmTGndurWYmBgYERx3cAySFcxB1Xn27NmkHUFYA+oQq/Hw8IAxKykwCohQ06ZNSSEv7/fv3zCwhuMfWpagoCCytFysXLnSwcGBFBgFxtONGzdm5OFIxQAZsLW1/fPnDykzx44dO6ytrSt+R1ZJ9uzZ06hRo+Tk0p5OJwDwZkeMGCElJdW2bds3b96QpQUcOHAAvgYJCQmkzBxHjhwBHcJ7h5AaAHXvkLu7OykziouLy7JlyyIjI01MTKBZ3r59O1lRYdq0aSOkOmMyHUymU42SoZOSlpZWUlKC4w6OQbKUUaDPxXuHWAjqEKuhZpZLSUkhZeYA+QG1SEpKIuW8vIsXLyooKEATsGHDhowKzC/n6ekJaiGMwTS0TaAWsbGxpMwcPj4+oBbfvn0jZeZYv359gwYNGJnBvBibN28GaSn33LuPHj0yNDSEjxu+CcU8cNu2bebm5sI4h7Nz507QIZxZDqkBUPcOCWPuqezs7NatWy9evBgOUhiZiYiI+Pr6knUVA5KdnJyEVGchJefk5GByIZhMRxjJ165dg4EQHHTQOXp5eZGlzAF1dnZ2noAzy7EP1CFWI+yJtukznr19+7Zdu3bQBHTv3j04OJgsLTs40TaddaycaBtkdfny5XJychoaGidOnCBL/4ITbSMIXygdEsawBpJBhzw8PM6ePQvDMkVFxevXr5N1FUOodRZScgZOAE0Dk+kII/n+/fvUKVnA09OTLGUOqDMc3cLYG0gFQR1iNZWpQ/D32rVrVVRU5OXlN2/eTJaWHdQhOuzUoYcPH8KehJFWnz59Xr58SZb+BXUIQfgiVAFo06bN8OHD4RiXkJCABiQwMJCsqxioQ3QwmQ4mUwQFBYGuoA7VQlCHWE1l6lBOTg6MjMFkoBWAUXJERARZUUZQh+iwUIfg67RmzRpRUVFJScl9+/alpaWRFX9BHUIQvghPADIzM9u2bdu5c+fZs2fLycl16dLl1atXZF3FQB2ig8l0MJkiNDR02LBh4uLiqEO1DdQhVlOZOgSkp6fDKyoqKurq6pb7BJFgOpT7O+ZFwK39e/ZuzGfTpo3Hjp169OYTzxkHBNSh9O8vH90+sGdfQfLGTRuPHvENeP2RZ7KAOvQn9lWg/4G9JHnjxiOHTwa8iuR5Y5eAOpQR9/qJ/8F9+0nwxsOHTzx8GcHzYy+3Dj148KBZs2YiIiLQKL99+5YspYE6hCB8EaoOtW/fHg5SGJZBa+zm5sbU3PQC1zk9Kfrls8eXLl0+n8/lS5ceP3sZnZRO1pZCGZP9BE8WeMiLyXT+FEn2q+XJZQCGATA6kpOTQx2qbaAOsZpK1qGcnJynT59C+wINQceOHaOjo3Nzc8k6geGvQ79jI4IObpvbu7UVvM5fZORUnQdO2nTmWkRcWg7ZsBj8dSg9LjL40I75fdtYi5BYQFpGxan/xI2+V8JjuSXz16E/8R+fH9m5oH9bW1ESC0hJKbXq57b+pN+H76lckvnr0J8fn14e27VoQDs7MRILSEoptuwzfu2Ji2ExKdlkw2KUT4egLfby8oJX0NDQ2LNnT6lfLdQhBOGLUHUIml84Utq2baumprZs2TKmTrYLUuestK8fHh/c5NGpma2ISP5P5ByOuIiIbbNOHpsOPv4QnVb6xJ5lSm5uJ0pP7jhjI49kQYa8mEwHksOfHCqSLFZ7k8sK9InQAyorK0MVUIdqFahDrKaSdQgA/5k3b56YmJi+vv6uXbtKXknFFz46lBn74YzXmJayyrIysnWUFFWg2VFWzv9vnTry0pJKRmZDVh55mlLqD0J8dCgzLuKc9zgneRU5WnI+kCwjpWhQb9DyQ09+/SZbF4GPDmX9+HhxhauzgqqctGwdxf8nq9SpowDJ+kb9vPYHJpW6p/joUFZClN+qSS6KqvKQTKuzSh3F/GQ9w76eewMS00pz0vLpUGBgYJs2baChd3Z25jYrHeoQgvBFeDpEPeBVQ0MDmg4tLa39+/fDa5F1FYN/nX+FP9w1sY+DuoqCpBjtlx+OqJikgoq6Qx+3nffDS+uOypZM++WHbzL/IS8m0ylI7tsEk8tJTk7O+fPn4eiD10cdqlWgDrGaytch4M6dO05OTqKioi4uLuWYbZmnDmV/vfvv4qYqiiIcVbs+49dduvTweQEhz6/t3zurW2M9cY7UP6bDDt38XMrFbTx1KOfbg21LmqsqiXKUbXqNXXPxYmHy9YP75/Sw14dkk3qDD1z/VMrFbTx1KDcmYMcyR1VlSLbuMXrVhfMP/ibfPHxwXs+mhhIcSWOjAXuvRJbyMfHWodjHu1c4qamJchQbdR258vy5+3+Tbx09vKB3cyNJjoSRQb9dfuGlPFyoHDqUnZ0NrisjIwOuC/+c2xgLdQhB+CJUHeratauEhIScnJyenh40yOU4S18q/Oqc9P6Q+6h6MjAQ1HYcNWnVyaNnCi5bOnP05KpJoxy1Ybl0vRHuh97///kMf+GXnExPnrjyBD15dCsdHsn8hryYTIdb8jF68tQD72pHcjkJCgrS1dWF112yZAlZxBxQZ9QhdoI6xGqqRIdSU1OXLVsGbYGSktKBAwfKeoKIlw59vLzX1URHTk6/x9LtV19FFBnkZ2Z8fX5/z/RRNtIcjcbd/g14m0hWFMJLhz5dPTDpH105GZ3uS7ZcfhlepOHMyvz24sE+j7F2Mhx1204bH7wu8UgkXjoUdePwFAt9OSntLos2+734UGSHZWfFvAw4MNvVQY6jat1h3b0X8WRFIbx06MvtY9MbGMhLanacv+Hi87Ci1y1mf38VcGjuhKbyHNVGbdf4h5RILqsO5eTkBAcHw9cJPtkuXbpAlbiNsVCHEIQvQtWh7t27w3EKMHu88KpzdnrKy//muSjJy5hYjVh39O6Hz/SHz2V8/nD36LoRVqay8kou8/57mZJe9CJe3smpr3fSk6Pov8NA8r1j9OTfRS+M4jXkxWQ6RZLX8khWbDO35idXAOhVGzZsCEffvHnzyCLmgDqjDrET1CFWUyU6BNy7d8/GxgaaA0dHx2fPnpGlgsFdh35Hnxw3UJsjrtdv+v1fpd8fmRn2dHObBmISkq1W/hdc/F1z16E/X09NGKLLEdPpPfVOcun2lhUevK19I3Ex8RbLtz0rnsxdhzJizk4eoccR1eox6VZi6ZMmZEe+3NXZRkJMtOnSTYHJxQyDuw5lxF6cPtqQI6Ledfy1uNI/4OxPb/d1aywpKuKweF1AUrHksupQQkKCu7u7goKClpYW73kyUIcQhC/C06Hs7OxCHWrRogWDD3HmUeecX2GBXk3qy0ootl+6M5QsLE7oTu8OShKy9Zt4BYb9KnK7JO/kJ0ubCZ4cmlzEtHgMeTGZDj35P57JkrKWNT65Inz79q1Tp05w9I0dO5bx0RfUGXWInaAOsZqq0qHExMQNGzZIS0tDiwB6k5RU8jQ1V7jrUMSN+a1tOFpm3fbf/53D5eKP9PjgbXOMleVUBk47FVpMbLjr0Kdbi1zsOBomnffeTcvhMqlBesKL/+abqcgp9Zty4l2xS/G469DnO17tHTjqxh123f6VxSX5T+LbPQvNVeXq9HY7/LrYR8Vdh6Lvr+jclKNq1HbH9cSMIm38//mTFHrA01JVTr7H2AOvil0wVyYdgib43Llz+vr68IEOGzYsNJRbz5MP6hCC8KUSdEhCQqJ///4xMTFkRYXhXufctK9+Wztpq0vYd116l/szFiLue3e3l1DX7rTV72uRWxp5J2/vrCN48qXoVHoy9yEvJtMpksz9Gvf85CY1P7lCxMfHjx8/XlRUtGvXrqVOvloRoM6oQ+wEdYjVVJUOAdAKQFsAXTKMX48dO0aWCgAXHYJGLPD4YFtdaQeHlU8Ti57yppPxxf/YcFVdCaehW58V+1GUuw49PTm8sb6Und3yxz8yyaKSZHy9f3KUur5Ey0GbHhezE+46FHR6dBNDSRvrpY9i6Sfxi5IZE3hqrKaBeLO+awKKzU7AXYdCzrs2ryth1XDJw6LjiiJkxj4966plJN6kl8+DYt5TJh168eJFz5494dOsW7eur68vWcoF1CEE4Usl6JCSktK0adO43IdZHrjX+ffPsJ1zTdUlTcfPuPSNy+8+QE7M5VnjTSXVTefuDPtJn5aGd/J8Mw3Bk/97XySZ+5AXk+mUIdnNrMYnV4ikpCQvL686depAeEBAAFnKEFBn1CF2gjrEaqpQh6BLvnTpkrGxsYiIyKBBgyIjI8kKfnDXoYdH+9toyzVvsvH5L+7Skhl9/9R4VX0Jx8Gbn0aRZQTuOgSiZacr26TxuuAk+vXuRcn89ujsBHVDieYD1gcWkxbuOvTEd7iDvrS9zepnCdwff5D1/dn5yZogLb1XPiz2gx93HXp2dkxTQym7RiufxHK/OSsrNuSSu1Y9cfse3veL/XgmuA6lpaWtX79eRib/XtUlS5bw+NApUIcQhC+VoEOampqenp58D1jB4V7n1IT3W2cYaIpbTZ/nz8u+Eu4umG4lrmkwY+v7BPo5dt7JMw3LkLzlbZFk7kNeTKZThmQP6xqfXCFSUlKg41ZTU4Mx0vXr18lShoA6ow6xE9QhVlOFOgQkJydPnz69Tp061LMvoJMmK3jCS4f6WWvLtWi66UUKdx3Kir5/2lVVX7zl4E1Pi0kLTx2y1ZFtar8+JJm7DmV9Czw3Ud1IotmAdY+KOQRPHbLXk3awWROUyEuHgi5M0awr7tDb50GZdMhAqnGjVU/jeOhQ3HO/aaBDjXssu1duHbpy5Qp1Y6iTk1NISAhZyh3UIQThSyXokK6u7qpVqxhs/3lKy5YZ+ppi1jPm+5eYaoZG4t2FM6zFNPVnbCmDDm2ZaVCG5H/LMJjG5ELKkDzTpsYnVwhKh9TV1aHfPHfuHFnKEFBn1CF2gjrEaqpWh4AXL164uLhAxwy28ODBA0GMiLsOvTo/oYkpx8xqwpUPXM+L56R+OL2xpYqyTOdx+18WayC569Dbi1Oa/cMxaTDeL5TrZXg5aZHn/m2tpiLdYfTu58Uqx12H3vtNb2nBMbYYffEtV9HK+R3lt7WNuopk22Hbn8WRhQTuOhR2bXbr+hyjf0ace/mb2+7ITY++uqOdhppEm0FbnsaShQQBdSg6OnrUqFHU0OrIkSOCzBOIOoQgfKkEHdLX19+wYQMMzsiKCsO9zn+SwvcttFSX0R82xfcT99+UMj6fdh+mL6NuuXBfeBL98mHeyYvrlyF5z4efRWYX4zrkxWQ6ZUgeUfOTKwT0ktu2bdPR0YF+kO+15WUF6ow6xE5Qh1hNlesQsH37dnV1dQkJiWHDhkVFFbt+rRS4T6WQ+Gp73w4yHCVLj38juU1LEPfh9NiOUtJi5jN97n4vtg13HUp6s3NAZ1mO4j/TNoZncBGi+Mjzbl1kpEVNp3vfjilmddx16Ne7PYO7yXEUTKasC03nkvwj6srk7nLSIvWmet74WiyZuw79Cj0woqc8R77uxFWvU7n0BInRN6b1kpfm1J244Gp0sVcXRIeysrLWr18PgyopKamxY8cKeBMC6hCC8KUSdMjIyAgOxtRU+g/iFYJHndO/+x/or6/FMXP0uPic269e2c/9ZrUy42jp9z/g/73I6XLeyYcGGAiefCuGfnsIryEvJtOhJ4fwTDYXqfnJFQG+zMePHzc2Nq5bt+7hw4fJUoaAOqMOsRPUIVbDBh369u3b5MmTRUVFFRUVYTj7+3eR9qgk3HUo78/jTZ7tpKWU/mm59PaTL2l/iulOZmpSyJGtg7WkFTT/mXr6ZlTxCQa461BextMtSzvKSimaNFtyM/BzWnqJ5OTnx/8bpisrr24y6eS1T8WTuetQXmbQ9uWd5aTq1G2y6FpAVGopyS9P7hmpLyevaux27HJE8WTuOpSXFbJ7ZTcFaQVDu3l+Dz6VSM5KS351av8YIwV5FaPxhy+GF08WRIcePnzo4OAA46qWLVvC3wI+zBF1CEH4Ugk6BIfh0aNH09O5X6dbRnjUOTft85t/OzVVE5VqMmXZvZRirVEBOSn3lrk3lRJVb9rp3zefi04Awzv57ZYugidHFZk8jNeQF5Pp0JOX3uWVLKbWpMYnVwT4Mvv6+pqYmGhqau7YsYOphyBTQJ1Rh9gJ6lDVQE3zBUfFo0ePyKLSYIMOATdu3GjevDlUGBqI8+fPk6Vc4KFDeX++B+0b11tHREatXmvXVbvuxXwrPPOd8Pql77JJnU21ZJUlmsz+N/BbWolzMTx0KO9PXMhBt766HBk141bjVv5359vXwuTEN69PL5/S9R8tOUVx+5kbH0aXTOahQ3l/4p8fmThAnyOjYuQ4ZvmO21+jCwcnP9+9OePj3t1cW66OiO30dfe/pJZI5qFDeRkJr45PHWTIkVU2bD5q2bbb0V8KTTMp9N25ldN7WurI1+FYT119JyqlRDJfHQKf6dGjh5iYGLTpa9euzczkfsNWUVCHEIQvlaBDFhYWJ0+ehBciKyoMrzrnZGVEX9w8wEhXTFWn9Vivww+C6I9+jg96cNhrbGsdNQkdo4GbL0ZnFDu/zyf5q1+RZPolxfFBD48spSdnFk3mNeTFZDpFksfwSDbsv6nmJ1cA6CsvXLgAnaCamhr0hqhDtQTUocrmypUr0M/R0dLSIutKwBIdggocOHBAQ0MDatu+fXveCsdLh6Ch+RF8c3M3e1UOR0zNsHGXLn2HFDB4SLfWrf5RFoMXsBwy7eCH75mlNEC8dCgvLyvh+e2tPZqoQ7KqgV3nzoXJ3Z2dzFXEIdl84JT9YTEZpSTz0iFITnx5Z0evZvDuRVX0bTt16vM3uUeb1haqEpBs2nfinvdf/5SSzEuHIPnnm/u7+jhqczgiSno29GQXZ0s1SUg26e266010einJvHUoOjoavjxSUlKQMXny5DI9yRF1CEH4Ugk6BI3S5cuXBf8hgy/86pwZ82Dd/A7q0KZJGLfuOHL+3MVL8lk8d/7Ijq2N8xerNp+77kZMyQqVKbnDiKLJ9aCp45rMb8iLyXRIcn4E9+S112pJcjnJycnx9/eHo09OTm716tWoQ7UE1KHKBjq5wtm9zp49C0XA09OTWlIMlugQkJiYuHDhQnl5eajtuHHjPn0qNuvb/+GtQ0DG78Bz20YNamWiKUu9+79omjv0m77o9ONPXO4c5q1DQOafJxd2jB7S2lRLjkQSNP6x7+s+/9Sjj1ySeesQkJnx7NLOscOczXTydwANdbPGvafOPfkwgstHxFuHgKysoMt7XYe3MddVIJEENVPbXpNnH38QXuzxq3/hoUMpKSnbt2/X1NSEGBhXvXz5kqwQDNQhBOFLJeiQvb39/fv3GRyNCVDnhNDAtXMG2FrowDC0CJI6FraD5qy+8i6htHs8hJcswJAXk+nkJ88daMcrucS1BkANTS4PcMQ9ePDAxsYGKgDjGdShWgLqUKWyb9++YheCw7CVOuxJuSjs0SEAbGH48OHS0tIwzvby8uJWK746VED8x0eHtywf2Kc/tAytWzs7tx49euLWkzfCf/K4TJ6vDhXw41Pg0a0rBvelkls7tx41asKW49c/JPK454mvDhXw4/OT49tXDu4/gEpu3XrkCLd/j10NTeCRzFeHCkj88vTEjpVD+w8kwa1HDB+/6ciV9z943EPNTYeg7T5//jx1yxC8qTt37pAVAoM6hNRa4IDy9PQUZD76StAhOIofPXpUuToEpCdH3zu/dfLQ/mZmFgb5WJiZ9R86eev5e9HJ3NrnMiUPG/APPXnSlnM8kgUb8mIynfRfX+8XSTavzcllBo64wMBAOzs7OAYXLFiAOlRLQB2qVDZs2ED+opEvQ9VBh4CnT5926tRJVFTU1NSU20XtgukQkJ2V+fv371RCevqfrBzerY5gOgSUOVkwHQKKJ6dnZfNOFkyHgJyyJnPToRcvXvTs2VNERMTQ0PDgwYN8p74oCeoQUjsxMjKCbz4cfCNHjuTWJhciVB3q1q0bVKB58+ZwOJOlTCBwnXMyU+O/x0REREAz8OED/D/me3xqsRs3iiC8ZIGHvJhMB5MrRFhYWIsWLeAYnD59ek4OjyqUGagz6hA7QR2qevJlqJroELQLx48ft7Kyggo7ODjcvXuXrKAhsA6VGYF1qMwIrENlRmAdKjOl6lBsbOzYsWOlpaVVVVUXLlyYkMDr2XbcQB1CaiHgQvR2GJoabs0yRSXokJOTE4wJyVImEF6dhZcsvCEvJtPBZDpRUVEgLXAMurq6og7VElCHqh445LZv304KRWGbDgFJSUlr165VVlaGardr1+7JkydkxV9Qh+hUpg7FxMTAF0ZRURE+muHDhwvykKhSQR1Cahtw7MBRs2/fPlLOy0tPT4clpZ7Pp6gEHWrTpk25j+JSQR2ig8l0MJnOly9fnJ2d4RgcM2YM6lAtAXWoioHuFg45UiiBh4eHo6MjKTCKt7c3iBYplBEYKKxevdrQ0BBq3qtXr+DgYLKigJUrVzo4OJACo4BagMJlZZV2T2XFALUAhYMenZSZAwQAFC4tLY2UmWPPnj1WVlbJyWSmhbi4uAULFigpKUlLS48aNSo8PJxaXg4OHDgAolW+M0u8OXr0KOjQu3fvSBlB2AEcOCXbYVhScmEh0FxA4zxt2jRSZpTevXvDS3fp0oXZoRgAiiWkOmMyHUymUx2Tu3btCsfgiBEjSJk52rZt6+rqSgoIa0AdqmLgeIuJiSGFEixcuNDMzOzIkSNnmKZPnz4mJiaHDh0i5bJw4cKF9evXGxsb5w8WOJx+/fpdvnz52rVr58+fh7X9+/eHVTCkpjZmkEGDBtWtW3fv3r2kzBxDhw4Fu9u9ezcpM8fIkSMNDAx27txJyswxZswYfX190C0/P79bt255enoqKORPTichITF16tRLly6dPXuWbFpGxo8fr6uru23bNlJmDjc3N9AhYZx3QpCKQDVlpPCXUhcWkpGR4ezsPGDAgFdM8/z5c+pCHfjvixcvyFImCAoKsrOzE0adhZccHByMyYVgMh3hJb98+ZI6Bh0dHeF4JEuZAOpsb28/ZcoU0o4grAF1qCqB443bZXIUPj4+0tLSYBf1mEZZWVlKSgrsgpTLgqmpKagUjMU1NTXFxfOf6CMjI6OqqgoLYVVFknmjoqICyUZGRqTMHFB5SUlJYSSrqalBMrgWKTMHJMN3A/4AdZGXlxcVFYUPAt4IFGEhWHTBVuVBXV0d6gwWR8rMAcmgQzxmaUeQKgGOHYAU/kIt5PaYtaysrK5duyopKcGxxjhycvnPCoDjmpQZAtpnaKuFUWdMpoPJdKpjMvRT1GNFZGVlySKGgDpD5sKFC0k7grAG1CFhUdCT/p+RI0eSFX85e/Zsx44dSYEL8+fPr1+//s2bNwOYZsSIEebm5teuXSPlMhIYGBgSEvLw4cPBgwdTb9DKyurIkSOwfOzYsdCUXLlyhWzKHOPGjYOm5NKlS6TMHG5ubuByFy5cIGXmmDJlCtgsfNakzBzTpk2DT/DYsWNQeREREfgIbG1tz5079+LFiydPnpCNysXMmTPB306ePEnKzDFnzhz4boSFhZHvN4KwgJ8/f1KNGCn/hVpIv6GITkZGRtu2bdu0abOfafbu3UtN5GBhYbFu3TqylAl27doFB6Aw6iy85N27d2NyIZhMR3jJGzduhKMPjsFWrVrB8UiWMgHUGTru6dOnk3YEYQ2oQ8LCsygwICYrCvj48SN0eKTAHQ8Pj5YtW5ICoyxbtqzc9w7RefPmzaBBg6DV0NPTA3n78+fPtm3bmjRpwvgl78DatWsbN24MoxBSZg5o+2xsbMoxJzVftm/fDqKYksLl+a8VAOQTpGX58uVdunSB/Q9fp1OnTpF1FQOabJDw+Ph4UmaOw4cPQ++F9w4hrMLf3x+OIICU/0It5KZD1L1DM2bMIGVG6dOnD7x0x44dGW+UXFxchFRnTKaDyXSqXTIc3R06dIBjcOLEiWQRc7Rr1w7vHWIhqENVwM+fP5WUlEiBJyycWa4kwcHB1E2HEhISc+bM6dGjB9S58BZ/BsGZ5egcPXoUdjg1xR9UHorZ2aU9xrzs4MxySK2CmkQOIOW/UAtBlki5KDBgEtKsVjk5OdTMcq1bt2Z2om3hzcQlvOTMzExMLgST6QgvWXgTbUOdIVkYdUYqCOpQZVOqC8FCGICSAo1qoUPAo0ePoP+WlJSEATq0IC1atBDG+RDUoUKgsZ46dWr+YI3Dadiw4bFjxxh8cjbqEFLboA4lUvgLtbDkk44phKdDLHgMa5kRXnJ1VDhMplMdk8PCwlq2bAnHID6GtfaAOlSpQM9a0MOWQqmdbnXRIeD169eDBw+WkpKC90Ld75SZmUnWMQTqEAW01JMmTZKTkxMXF4cP8dSpU8zuatQhpLZBNcKk8JdSFxYiVB3q3r07vLSDg8OjR48Y/KUDdYgOJtPB5ELgiAsMDIS+FY5BGCkxeAACUGfUIXaCOlSpFHSvpUO2KEo10iHuR3fBAAD/9ElEQVTg06dPMEyvU6cOSJGdnZ2vr296ejpZxwSoQ0BwcPCgQYOoiaeMjY0vX74MAxGyjiFQh5DaBjSzcEAVa68KGuaq1CF7e/v79++jDmFyIZhMR0jJcMQ9ePDAxsYGjsHFixejDtUSUIdYTfXSISAyMnL8+PEFo4j8c0Tbt29PSkoi6ypMLdehnJycq1evdu3aVUxMTEFBQUlJycrKShgTHqAOIbUN6vYhT09PUs7LCwkJgSXwX1IuQSXoEDRKly9fZvDcr8B1Tvgccunk0RUrfJbk47NixdGTl0I+83gwc0WSL/JMFnjIi8l0EjG53EBX6+/vD0efnJzc6tWrUYdqCahDrKba6RCwY8cOGRkZIyMj6M7r1q27aNGi4OBgsq5i1GYd+vbtG7iEo6Mj7FUQIegshg8fDnX+8uUL2YI5UIeQWgiMUeDgIoW8PDjKoBEjhdKoBB2ysLA4efIkvBBZUWEEqHNOyrent44unNTDQkcFqvAXFR2LHpMWHr315GtKqTdSlClZV5Wk5qOiY84zWYAhLybTyU++fWwRJpebzMzMCxcuQCeopqYGvSHqUC0BdYjVVEcdArUwNjZevXp1+/btqTatb9++165dq/i7qJ06lJOT8/r163nz5mlqasLO1NfXh7/j4+P37NkDydzu864IqENI7QT8R0tLy9/fH1wIhixkKRcqQYfgMDx27BiDlxzzrXNWdMCZ+R1ttThiskrKWvp6BhR6+lrKSrJiHC3bDvNOBURnka1pCC+Z75AXk+lQyXbaPJO/1Jbk8gFfZl9fXxMTE+hzd+zYgTpUS0AdYjXVUYcWL17s4OAQExMTEBDQo0cPWVlZql/fvn07LKxIy1ILdSglJeX69etdunQRFRWVkJBo2LAhuEpCQv7lA//++2/9+vVRhxCkSqgEHQI927ZtW2pqKllRYfjUOSfqwareHVUkRBS0HYZ7bzj/KuQ9NAMfPrwPeXV+g/dwB20FEQmVDr1XPYgq8Vs9n+Tcz/Tk9ede0pOXj2jCI5nPkBeT6fw/Wato8nN6cq+V92tFcnmBL/Px48eNjY3r1q17+PBhspQhoM6oQ+wEdYjVVEcdWrRoESTDOD4nJwfatIULF6qq5p//1tDQcHV1ffbsGdmu7NQ2HYJ3unbtWgsLCzExMRERkf79+9++fbvwy7Bp0ybUIQSpKipBh/T19Tds2MDgQwt41TkzOf7WwpG2kuIaLTov9Xsc/qPoTZ9JP8If+y3t3FJTXNJ25MJb8clFb2jik+y/uEhykd/EIPlJkeSiz9nmNeTFZDq05E5ePJNtRtT85AqQlpa2Y8cOXV1d6Ad9fX3JUoaAOqMOsRPUIVZTTc8O2draUmcwgJiYmAMHDjg7O0PvLikp2a5du927d5dvfoVapUNgPmPHjtXR0YH9ZmxsDO/9zZs3ZF0BqEMIUoVUgg7BgGzVqlUMtv886pz18+WNGZbGovK6fbeciSMLixN3Zlt/PXlRY8sZN17+LHLxEu/kWx4NBE9+nlgkmceQF5Pp0JNP80xWEK1b45MrQkpKyvr16zU0NKDvPnfuHFnKEFBn1CF2gjrEaqqvDv348YOUC4DBvaurq5qaGvTxRkZGHh4et27dKus18bVEh168eLFx40ZoMWFfASCQ+/fvT0xMJKv/gjqEIFVIJeiQpqamp6cng6009zpnp3w+vcZRQ1nOZfCmoFiysCSxIVuGusgpaziuOf05JZsszId38rpWmoIn+0b9oidzH/JiMp0iydz7yPzkdvI1PrlCgA5Bxw3DFRgjXb9+nSxlCKgz6hA74ZD/I6ykxugQALJBWYe4uDj09PC+Nm/e/Pr1a+hHyRb8qPE69OnTp9OnT/fv319ERAR2kaGh4ejRowMDA8nqoqAOIUgVUgk6pKysPGPGjMIz7RWHe53TEkO3zzTSkKg/ZfZ1br/S5xN/c96U+hIaRjO3hyamkWX58E6eXbcMydveFUnmPuTFZDplSHZvUOOTK0RSUpKXl1edOnUgPCAggCxlCKgz6hA7QR1iNTVJhwBoCG7evDl48GB1dXWQIqBdu3bHjx+Pj4+HEQDZiDs1WIfgI37w4MH48eNVVFTAheTl5Vu2bLlnz56SJ4UKQR1CkCqkEnRISkpq6NChsbHczyKUEe51Tk18v9XDQFO80bR5t0ppugv54b9gWiNxTQOPre8T6TM88E6eZViG5C1viyRzH/JiMp0yJM+wqvHJFQJGL5ApJibWtWvXYteoVxyoM+oQO0EdYjU1TIcA6OnBDU6cONGhQwfo70VFRfX19YcPH3779m2+TxusqToEerBo0SKoADULHwjDypUrX79+zXtGKdQhBKlCKkGHRERE4CUYfLYYD2lJoHTIavq827wGpgl3FkwvGJhufZ9Ab554J+cPeQVOFnwwjck0ypDsYV3jkytETExMt27d4AAcNWoUg+dmKaDOqEPsBHWI1dQ8HaKA/j44OHjDhg3w7qDRAezs7Nzd3c+fP8+jSjVPh54+fbps2bK2bdsqKirCTtDR0fHw8Lh586YgTTDqEIJUIcLToaysLEqHADMzMwaPF+51zkz+eGSprbq8Wu9x+0O5z2SXEnbQtbeavLrt0iMfi8wtxzvZ264MyYciiiRzH/JiMp0iydxHDPnJfWt+coWAXtXKygqOvtmzZ+fklJjeu2JAnVGH2AnqEKupqTpEAe3CtWvXpk+fDsJA9f02NjZQPHXqVHh4ONmIRo3RocTERHCelStXdu7cWUJCAt64pqbmoEGDDh48GBMTQzbiB+oQglQhQtWhrl27iomJSUtL6+vr379/n6yoMDzqnPEj8MwYYz2OVoOxR+7+JguL8/vusfENtTh6xmPOBP4oMucx7+SzY+sJnhwQX+RuUh5DXkymQ0++Q7/Dhk5Bsk4tSK4IwcHBurq60C8vWbKELGIOqDPqEDtBHWI1NVuHKNLS0k6ePDls2DDQBklJSWiDdHR0xo8ff/bs2Xfv3tFnn/P29q52OrR27VpILtwbX758uXPnjpeXl52dXb7/FcyXAFK0YcMGvvcXFQN1CEGqEKHqELQJKioqpqam2traR48ehSEUWVcxeNU5Pe7T8VGdjUXFzPq6Hg6NSfpD/xk+Ly/zT1JM6GHX/v+IiRp3HnX8U1zRaUF5J0edGMMrOfk7PTm2qCTwGvJiMh1a8vhDvJM71fzk8pKbm3vp0iVNTU3onT09PclS5oA6ow6xE9QhVlMbdAjIyclJSUmhnrRTt25deXl5MTExJSWlnj17Hjp0KCIiIjExEYYIYBE2NjaMX8sLCE+H/v33X5CWt2/fxsbG+vv7u7u7wxsUFRWVkpLS0NDo1KnT3r17o6OjBZlJohioQwhShQhPhzIzMzt27GhmZubi4qKmprZ8+fIyNac84FXn3JycX8983R2spGXkTFsNXXb84uu05Exom3NyMpPTXl88vmxoK1M5GalGDu6+z37l5BR5XCa/5JQgevKFV6n05BPew3gk8xryYjKdIsmORZN/0ZPtp5ys+cnlBYYi0E+pqKigDtU2UIdYTS3RIQpoAGNiYgICAqANguE4NEYSEhJaWlqQ5urq6ufnN27cODs7u/+xdxdwUaxtG8CHFBEUkzJQQLEQbFFUMEBFj911bBEVBRs7sLE7sePYio3diCLSKd1dC8u8zzIj76CyAu7q4l7/7/2dj5lZbh6fDe6LZ2dWVJ0Bl/jiEIkWJPaQ8ZPkU7duXZL0yL+LtDijRo26fPlyaGhoRkZxbxH4CcQhgD9IrHHIwsKCvPKPHj26SpUq5NVDVE/zn405Py3wwq7pTdVlKaqqbuP2vSyt+gpYWfZq31i3KkXJqTcevuPCx7SiTanAr1TWE1r5Zy0vKnOxlTWEVj7/QUoql0VkZOSSJUsqVaqEOCRtEIckmlTFoULR0dGPHj3asGFDz549mVNrZGRkmjdvXrt27Xr16h04cMDPz4+9qYiIPA6RXOfi4rJixQoTExPmHADyryBIgLG1tb169aq3tzd707JCHAL4g8Qah3r06NGrVy97e3vSlpHO0NPTkz32a0ow5qzowIsHlg6xMKoqeOPy/ylWNbIYsuzAhQ9RP/zw7F+q3KKnkMolaHlRmUtQ+eAyVC4j0l2MGzeOaTwQh6QK4pBEk844xCCvGi9fvty1a9fkyZM7depUsWJF8vJEXqR0dXWHDh26evVqZ2dnkpoCAgLIb2L2e8pKJHEoPDycDPj8+fNbtmyZOHFimzZtCl7QKUVFxSZNmowYMYKM+dq1ayW/WIJwiEMAf5D44hB56TM3Nx8zZsy2bdvIK56xsfHr16/ZY7+mpGPO8ne77rTKYeDAIX0Ehgwc6LDK6bqb/w970gKlq7x0UNHK74RULmnLi8pc2QFFKg+W7sql4e7u3r17d+aT0BGHpArikEST5jhUKCMj4/HjxyRLtGvXTl5eXlVVlYkZKioqHTp0mDRpkpOT040bN968eUOiEfm5P/38ou8xcSgyMpLdLgE+n5+cnBwaGvr+/fv79+8fOHBgzpw5PXr0YE7BJCpUqNCsWbM6BY4cOVKq4iWBOATwB4kvDpHKZmZmtra2Fy9elJWVrV69+r1799hjv6Y0Y87Pz8/7P7LF7v8x8VUuTcuLylyoXBZPnz4lv6SYX+KIQ1IFcUiiIQ4Vys3N3bBhg6am5qxZsywtLckXVatWrVSpkqKiIukYlJSUGjduPGLECBJszp079+LFC9LNkwQSGxubmJhIJjArK4tUKO7VddOmTS1atCA3Zrc5SOwhv+nT09PJXMXFxUVFRZEE8u7du6tXr27btm3q1Klt27atXLkyeelUUFBQVlauUqVKzZo1jY2Np02b5urqSu7B5s2bl/aqcSWBOATwB4k1DnXp0sXBweHJkycVKlSQkZE5f/48e+zXiHXMYqosjpaXgcpcqMy4fft24Z9cEYekCuKQRCPNdIcOHcp8tr0QS5YsadOmjTiCFnkFadWqlTiCFgktJFr4+fmFhYW9evXq2LFjc+bM6d69e+3atZkXL5KOSBSpU6eOrq4uiQqdOnUaMmQIiU8kI5Eb37lz582bN2/fvnVzcyNFSFgiSFgilUnQatasmZeXV1paGtkZFBT04cMHckvi0aNHZ86c2bx5s729/ejRo83NzUlw0tfXr1evnrq6OglCJIyRH62iokJy0eTJk3ft2vXw4cOAgACSnUhlEpkMDQ1jYmIK/gWixFyzThxBa+/evSQOkUlgt0Xn4MGDiEPwdxBrAGDiEHkVIq9m5OWFvKrklf7ik98rjy0vj8dD5UKozCWOyqRVqFChgrKyMnneLV26lN0rOmTMiEOSCXFIopEWnPT07IZIrVq1ql27duyGSJHsQYKWSH55f2Pjxo2kMrtRgKQX0rW/e/fu+vXrW7dunThxInlxrF+/fuGlC0hWIYlFS0urYcOGLVu27FiATClJNZYFrKysSGQiiYXcrEePHv/88w/ZSSKWqakpc2MScpo0aUKakqpVqzIfi8TQ1NQkqW/w4MGkazl58uSzZ8+8vb2/vwj4vn37SHxKSUlht0WHRAsybCbOidbRo0dJ0PrhWtkvOnHiBIlDv34ZCYA/jsQh8ioxd+5cdlukyEsQeYkmryfdunWTk5MT4cdBkoJiGjMqc6EyVzmqvHnzZlVVVfJLn3QRa9asYfeKFOk0pk6dym6AxEAckmjktyBpu2fOnGknaiQLaWho2NjYsNui06FDB3V19RkzZrDbokPCSa1ataZPn06+njdv3qJFi5YuXbpy5cq1a9cuX758ypQp5FWmcePGzCcGiJuKioqOjg75xw4fPnz+/PkkBK5evXrZsmWLFy8mmyTHMmPu2rVrjRo1yNiYTREiia569eqTJ09mt0WH/IIhc0iyJbstOuQOInEoMDCQfXwDlFs5OTkktJAni7OoHT582MDAwMrKauvWrc2aNSNxyNLScseOHezhX0AqkyegmMYspspHjhxB5UKozCXyynv37u3Xrx8JQnXr1lVUVCTPQfaA6JAxky5lzpw57OsISAzEIYlGGn1VVdW2bduStlu0tLW1SUPfpk0bdlt0ateuXalSJXFUrlOnDqncunVrdruASQGSlExNTbt06UJCAnlxJG13z549LSwsyH9LQl9fn8wz+XZ2u3iFNUknRH4WSTudO3cmP50ZBjsmDhKZlJWVW7ZsyW6Ljvgq169fv2LFisbGxuy26DRo0ID89hLH+U4Av1lubi7plqpUqdJQ1PT09MgTUE1Njbwuqaury8rKysjIaGhosId/AVNZfGMWR2UyCahcCJW5RF5ZS0tLXl5eTk6uevXqFSpUqFq1KntAdJgxOzg4sK8jIDEQhyTa/PnzSa6IiopKEzV7e3vSSYeHh7PborNw4UIjI6PQ0FB2W3TIK4ihoWFgYCC7XVR6enpGRkZmgawC2SW2atWq5s2bBwUFsds/w9QnP4j8RPJz2RH8yLp165o0aeLt7c1ui87GjRsbN27s6enJbovO1q1byav2x48f2W3R2bFjB4lDOHcI/gI5OTlmZmZDhw4lzxTRevv2batWrUaOHOnh4bFr1y5muZu8rpJN9hZlxVQW35jFUfndu3eoXAiVuURbmTy/Vq5cqaSkpKGhsXz5ctISjBo1ij0mOmTMrVu3njlzJvs6AhIDcUiikdBiYmLC5/PZbdEhz/a2bduS3+jstuisWbOGPNtJVGC3RWf9+vUkwonj8g+bN28mEU4cl3/YuXMniXAiv84esXfvXvJ6LY6LNBw6dIhEOBF+KG2hY8eOIQ7B3yG74NwhW1tbdlukzM3NmTMigoKC9PT0SBxydHRkDv0iUll8Y0blQqjMVV4qk9/XioqK5JfUy5cve/XqZWdnxx4Qqe7du+PcIQmEOCTRcKFtrlWrVpHQEh0dzW6LzjpRfAzrD23ZsqVZs2a40DYDF9qGvwaJQ2K6Xha3MnkhtbCwIHFo2LBhYWFhzA3K7PeMWbTK49XwUJmrvFROSEiYOHEiea716NEjMDCwX79+YhozriwnmRCHJBriEBfiEBfiEMAf9HuiRVpa2qJFiypVqmRsbOzi4sLcoMwQh7hQmQuVnzx5YmpqqqioSPquyMjI3r17i2nMiEOSCXFIoiEOcSEOcSEOAfxBvyda5OXlnTt3TldXV01NjbyYMDcoM8QhLlTmQuW9e/dqamrWrl371KlTycnJFhYWYhoz4pBkQhySaIhDXIhDXIhDAH/Qb4sWfn5+nTp1oihq8uTJv3geaanGnJ9PftpX+fns3mKIr3KpWl5U5kLlUpkzZ46srGyrVq0+ffpEKpubm4uqMhepjDgkmRCHJBriEBfiEBfiEMAf9NviENkcMWIEiUPdu3f/xVeSko45O8DtxvbVywYPHtpXYOjgwctWb7/hFpDNHv9eqSqvWT6EW3mb0MolbXlRmSs7EJVLJTEx0crKijzL+vXrl5WVlZ+f36VLF5FU/gYZM+KQZEIckmiIQ1yIQ1yIQwB/0G+LQ8SKFSuUlZWbNGly69at3Nxcdm/plWDM2TEelw6tGGppXE2R9Ib/p1jN2HLoikMXP0b9sDstVeUKbE2GYlUjYZVL0PKiMpeg8uGVw1C55PLy8l68eEG6CwUFBXt7e2anSCp/j4wZcUgyIQ5JNMQhLsQhLsQhgD/od8ahCxcukKdktWrVyCvVr/w6+NmY89M8Lu4e2UxDnqLUdA3aWfbs3Uegd0/Ldga6ahQlr9FkxM6LHmnfv4fpp7NRpHJbiyKVqwqr/NOWF5W5mMqaQitf+CgtlUsoIyOD/NZjThw6cuQIs1Mklb9Hxow4JJkQhyQa4hAX4hAX4hDAH/Q745CXl1ffvn0piho6dOivfNSYsDHn5/PT3C7atjOqULGSXqeRK89c/ZSenJMnkJOc/unqmZUjO+lVqlihRTvbi25p357W8ZPK6e+5la94pHErn101iluZX7SysJYXlbk4lZX1OhatnMKt3HbWhb+/cmmQdmXy5MkKCgpmZmavX78me/h8vkgqf4+MGXFIMiEOSTTEIS7EIS7EIYA/6HfGIR6PN2fOHBKHmjRp4ufnx+4tPWFjzooNPTehj66sXMNBU054RyZn89gDDF52cqT3iSlDGsnJ6vaZcC40Nos9wBBe+cv5SUIrRxWpXPQTvIW1vKjMxak82Vlo5Qa9//7KpUF+QZNGizy/SChKSUkhe8gzTiSVv0fGjDgkmRCHJBriEBfiEBfiEMAf9DvjELFr1y5FRcVatWq5uLjwy3p9OSFjzol/dWlig9qURtOJJx9lsDu/lfHo9OTmGlTtBhMvvYrPYXcWEF75yiTdkld+EVfkPBEhLS8qc3EruwqtrCkFlUvlyZMnderUIXFow4YNzB5RVf4eqYw4JJkQhyQa4hAX4hAX4hDAH/Sb49D169f19fUrV668YsWKuLg4dm8pFT9mXkrwqVUta6rUGDD5mE8au/N7aX7OUwfUUKnZctWp4BTuH/KFV17TqhSVTwQWqVx8Y4rKXEUqF98xCCoP+vsrl0JKSgr5Na2mpqapqXn+/Hlmp0gq/xCpjDgkmRCHJBriEBfiEBfiEMAf9JvjEHk+jh07VlZWtmPHju7u7uzeUip+zOkJPrvt6qrLt5iz6KGwl+6ER0vmtJBXr2u32ychnd0nILzyvHqlqLzLK5FbufjGFJW5SlHZzuivr1wK3t7evXr1kpeXHzRokIeHB7NTJJV/iFRGHJJMiEMSDXGIC3GIC3EI4A/6zXGIOHDggJycnKKi4vnz58v2fjkhoSWRiUOGtgsfCHvpjnddbGsoaEx3+xRpTIVXFrS8Ja5c8mYalTlKUXluKYNWOaxcUvn5+Tdu3FBTU5ORkdm6dWtWFntK3K9XLg6pjDgkmRCHJBriEBfiEBfiEMAf9Pvj0NOnTxs3bkxR1OzZs8PCwti9pVH8mDMSfffa69RSaDpzwd1Ydt+PxN1fNLOpQi0d+72+idxzPYRXnl+/FJX3eBepXHxjispcpag8u9lfX7mkSKNCOhbynNLW1n7w4AG7VxSVi0MqIw5JJsQhiYY4xIU4xIU4BPAH/f44FB4ebmNjU7FixebNm9+5c4fdWxrFjzkv7cvFTaa11FS6j9zxvvgrece47xrdXUWtlummi1/S8tidAsIrb+msXvLKF0JSuZWLb0xRmasUlXuqVP3bK5fUs2fPTE1NFRUVR40aFRQUxO4VReXikMqIQ5IJcUiiIQ5xIQ5xIQ4B/EG/Pw6RRur69eu1atVSUFAovARWqQgZc27Sx3tzmtSXVa09ZNfl4q7UEHd579A6qrL1m8y59zEpl91ZQHjl+3Oblbzyh8QilYU0pqjMxa18qbi1loLKlaWgcgmRX3aqqqrVq1c/ffp0Zub/L+P965WLQyojDkkmxCGJhjjEhTjEhTgE8Af9/jhEhISEmJiYUBQ1fPjwMrxeCRszLyX2wZJxRoryNTv1We3yNjBe8PEr/5cSH/jWZXUfU3V5ReNxSx7EFrnC188qxz1cyq2czB5gpCQEvuNWTi5yBW+hjSkqc3Eq9xZe2Wjs31+5BBITEydOnEieTa1atfrmt9IvVhaCVEYckkyIQ3+YmpoaeTayG99BHOJCHOJCHAIQOVdX1zNnzrAbQv2ROJSSkkJeYKtUqdKwYcMSjpPrJ2Pmhz7dNMCipoKMqla7ceu2X/v8wS9QwO/D52vb141rp1VZRqFqzwHrn4Z+dx2Hn1TOL1J521VPbmXH8e2FVP5JY4rKXIWVK2sWrfyRW7m/4xOpqPwzV65cIb/3lZSUbG1tExIS2L0FfrGyEKQy4pBkQhz6k5ycnEgWQhwqIcQhLsQhABEaP34882rM0NDQYA8U44/Eofz8/EePHrVo0UJOTm7GjBlkkz1QMj8dc27y8/82WRjXpGSV1app1qurw6hbT7OamrIspW7cY+GF52FF3rDE+JXKVZXlhFT+aWOKylxM5Za1hFb+UnRpr8BfWVm4+fPny8vLk19J165dy80tMtu/WFkIUhlxSDIhDv0xWVlZ7C9exKGSQRziQhwCEJWjR4+S12EXF5fCrwnhieiPxCGC/DoYMWIEGZ6pqamXlxe7t2RKMGZ+WsLbB6ccZvzTWKsaMw0Fqmk1/meGw+kHbyLSvvsbvUCpKmtXZ6sKVNMyEFq5BI0pKnMJKj88vRSVhQsLC+vZsyf5If369fv+c41/pbJwpDLikGRCHPpjyPOwMBGxu76DOMSFOMSFOAQgKkpKSuxXBX76ykz8qThEbN26tUaNGiSt7dmzp/CTUkqixGNO+PL++tmTa9asIy/ny5atW7Pm5Nnr778UeTtRUaWqfO5UkcrX3ocKqVzixhSVuYpWXivllb9FvvHs2bM6OjpVqlRZuXIlu5ejzJV/ilRGHJJMiEN/xvjx4/fu3Uu+EP5LF3GIC3GIC3EIQFSioqLYr74iTwHyyuzq6spuf+cPxqH3798zf9geOHDg9yMX4g+OuczE2piiciGpqpyQkPDvv/8qKiqamJg8fvyY3csh1jEjDkkmxKE/gPwCK3wbRkEaQhwqEcQhLsQhAPFZuHAheWUWEjb+YLTg8/mLFi2SkZGpV6/eixcvSn4GEeIQFypzSU9l8nzx8PBgPtF45syZGRncT3ZliXXMiEOSCXHoD+DmH0EYKj4O2dvbm5iYfHOSn0gsX768bdu25HcYuy06q1evJkHrhy8xv8jR0ZEErZSUoheAFYVNmzaRoPXNtWVEYseOHSRoxcYK+8jtstmzZ0/z5s1L9bfhEjp48CD5VVG2j70X7ujRo4hDUC70799fyCszwQSAGTNmsNuik5eX16VLF+GVL1y4ULduXVVV1TVr1pT8b08lqVw24qtMsh8qF0JlrrJVJi2Ek5OTmppatWrVjh07xu4tSqxjNjMzQxySQIhDvxtpu93d3dmNn8UhOzu7Nm3aJCYmkkQkWvPnzzc2No6Li2O3RWfx4sUtWrSIjo5mt0Vn2bJlJACEh4ez26KzatWqpk2bhoaGstuis2HDBhItgoKC2G3R2bJlC7OGw26Lzvbt2/X19b29vdlt0dm9e7eenh7iEEg+8rJMeiZ240dIHDI1NZ09eza7LVLm5ubCK0dGRk6YMEFWVrZZs2Zubm7s3hL4aeUyQ2UuVOaSqMpeXl7t2rUjz50xY8YIeeOG+MbcvXv3adOmsRsgMRCHfitXV9euXbuyGwWExyEHBwcZGRnyS9dM1NTV1cnP7dSpE7stOhoaGqRyx44d2W3R0dTUJJVNTEzYbdHR0tIilTt06MBui06dOnVI5fbt27PbolO3bl1Smbyss9uiU69ePVK5bdu27Lbo6OjokDsxICCAfXwDSCR3d3fyFGA3isHj8SwsLEgamSFqpFUir0jCK0+cOLF58+ZkkMTQoUPnzZvHHhCqJJXLRnyVp0+fjsqFUJmrDJXt7e1HjRolJydHnjjkGTRp0iT2QFFiHbO2tvb8+fPZ1xGQGIhD4sL8oio0fvx4ZidJRFzMUeZr5hu5nj17Rp42U6ZMmSxqtra2pPLUqVPZbdERa+UFCxaIo/Ls2bPFWpn0Cuy26MyaNas8VnZyckpOLvrJ4wAShrwm//SKbbm5ub179ybx3lTUOnbsWKVKFeGVu3TpYmZmxlzvgahXr565uTl7rHglqVw2qMyFylySU5k8ZRo0aMA8ZRo1akQ2yfOIPVaUuMe8ePFi9nUEJAbikLgwT7lCJA4FBwezG8VgvxMAAMSAfanlYA9wkIzx8uVLdqN4zLlDU6ZMIV+IVkpKSqdOnX5aOTk5+dixYzVq1CD/CtJdpaamsgeKV8LKZSC+yuTfhcqFUJmrtJXT09PXrl1Lni/kWXPkyBHyDGIPfEesYyavG9bW1uzrCEgMtOB/WMFvZNwLAABix7zecrEHvpo2bdrRo0fZDaFIZ2Nqajpz5kx2W6S6du1aksohISHm5ubkX9G7d+/379+ze4UqYeUyQGUuVOaSkMo+Pj6DBw8mzxfyrPnpRVnFN+Zu3bqR1xl2AyQGGvE/rOA3Mu4FAIA/bHkBduNnSBwS06V4S145Jydn9+7dtWvXVlFRWbhw4U+vuC0JYy4tSbtMc0mgMpfkVF6zZk2VKlW0tLTIs4Z8L7v3R8Q6ZhK0xFEZfhEa8T8McQgA4I8jQYg5w5PLxcWF/eo7EhItwsLCrKysyC8RExOTjx8/8vl89sCPIA5xoTLX312ZPC/8/f27detGnim9evX66cdIiHXMiEOSCY34H1aQhnAvAAD8MSQLkddh0qZwCX9xlpxosW3btuoFFi9enJaWxu79EcQhLlTm+rsrZ2Zmrl+/Xl1dvVq1alu3bmX3Fk+sYyavLeKoDL8IjTgAAEiv8ePHM8nne46OjuyNviM50cLHx2fo0KFktIaGhh4eHkLeMlfiynxeenxMdFBQcKBAcFBQdEx8Ok/IwpP4Kpe4MUVlrnxULkSeEb6+vh06dCDPkcGDB3t7e7MHilfiMZcaqYw4JJkQhwAAAEpHcuIQn8/fvXu3kpKSqqrqunXr4uLi2APfKVnl7NSIp9f3zBw7zMCgiY5AEwODYWNn7rn+NCI1m73Nt0pVedzwxtzKNruvCalcssYUlbmy0yKfFancWJor08nJybt27apWrVqFChV27tyZl5fHHiheCSuXAamMOCSZEIfKmZcvX1IU9dOLovxZ3t7egr+sfhUVFcUekFQaGhpqampkqOS/7C7JVu5muBBp2siA2Q2Ackty4hDx6dOnf/75hzyzmjVr9urVK3bvd35eOS/B9/bmBSNaNtZSLHhp+T9FrcYtRyzY6OKd8KNmUnyVf96YojJXQeWFI1sJq5zL3pbr76xc4MOHD+3btyfV+vXr5+Hhwe4VqoSVy4BURhySTOhLyhnmNUKS4xDTqZOut/DN90RJPsfjTyHDc3JyYr5euHAh2WS+lljlboYLTZs2jRktuw1QbklUHCI91tGjR5m/NTg6OiYmJrIHivpZZV70/a1LOtUkPalC/c4WYxfNd1gm4DB/0ViLzvUVSHdao+Oirfejeezt/69UlXuOWcit3KWBsMo/a0xRmatElbfcjZKOygLp6em7d++Wk5OrUKECeY6QByp7QKiSVC4bUhlxSDKhLylPNDQ0LC0tyS88SY5DZHjcD3QfPny4oP+V1A6YTOk3YyObRkZG7IZEIiMsRzNcKCoqilmCk/yhAvyURMUhwtvbu3fv3uTJ1apVq+IuiCesMj83J+LGzuH1a8tX1+oycbnzU7dY9ohArNtT5+UTu2jVUNCuP3znjYic3KKndPykcuQtbuV3MewRgVi3ZydWCqksrDFFZS5OZc0uE4RU1hm24++v/NWTJ0+Yvxv26NHDy8uL3fszJalcNqQy4pBkQl9Sbuzdu3d8AfLEluQ45O7uzn71laD/lcgOmIQKMrBvwg/TsrMbEqkczTAXM8JyMVSAn5K0OETarEuXLmlra5Pn15QpU2JjuWmGJaRyfkbY5129O9SUrdDWZtXjtB+9USsv7fGqWe0ryNbs0HvX57CMIhdsEF7Za7eV0Mp8buXQ9CKVhTSmqMzFrbzyUarQyu3/+sqMlJQUW1tb8ozQ0NA4ceJEZmYme+Bnflq5zEhlxCHJhL6kfGAad/KF5Meh732/AiMhmLfGfXPxKObVs/Dtc+WCxM5wofbt2zNv5yPjlPChApSEpMUhIjo6eurUqUpKSrVq1dq5cye7l0NI5awYV+ehdTSphp3mXnf/UVsqkOd+075zQ0qzzlBn15j/L1ATwiufGFa35JUfRBfpWYU0pqjMxa38XmjlRpTGX1+ZcfTo0fr165PfOKNGjQoPD2f3lsBPK5cZqYw4JJnQl5QP5PnMvD+qPMYhHR0dyeyAyaiIy5cvs9sFyAso2WlgYMBulwcSO8MMEoRIHGK+LphyvOxAuSeBcSg/P9/d3b1jx47kKUZarvfv33/zqazFV85ODjjq0KRmxTpjZl4IKf7j+nO+/Dd7TJ2KNZs4HA1I5p6EIbzysqalqHzYP4lbufjGFJW5SlF53N9fWcDHx6dXr17kudCyZcvHjx8LuQD994RX/hWkMuKQZEJfUg6QCER69MKvydO7fMUhMmAybHZDkpCBEd5FP4XA1dWV2c9ulwdktJI5wwzuZBZMLV52oNyTwDjE2L59u7a2dqVKlWbMmJGcnMzuLVB85fQEn11z66jLGc1d7JrA7vuRxMcOc43k1OvM3eWTkM7uExBe2b5uKSrv9CpSufjGFJW5SlHZ3vivryy4gsKSJUuqVKlSo0aNtWvXluTi2lxCKv8iUhlxSDKhL5F0UVFRGhoa7EY5jEPu7u4S2/4WdObfjq3cxSFJnmGCPHqTkpLYDcQh+FtIbBwKCQmZPHkyeZZpaWlduXKFVGMP/CS07J5bV12+xZxFD+PZfT+S8GjJnBby6nXn7i5FHNptX68UlXeVoplG5UKlqGxn9JdX5vF4d+7c0dPTI8+C4cOHf/MXz5Iofsy/ilRGHJJM6Esk3Te9Y7mLQ5I8WjI2gt34qtzFITJUiZ3hvXv32trashsFytfcAhRHYuMQcfPmzebNm5MnmqWlJffKK8VXzkzyO7BAr6ai/hS7G5FFL9/FxY+6NW+KvmJNvQUH/JK4p3EIr7xIv1bJK+/3KVK5+MYUlblKUXlaw7+8Msk/Q4YMkZGR0dHRuXDhAru3NIof868ilRGHJBP6EklBniHfIDvbt2//zR82JCcOsaPkYA9wDB8+/JsLFUiUgs7828lkzh0iL6PstmST5BnOyspSUlJiN75i5pzdACi3JDkOkafeli1b5OTkFBQUNmzYkJqayuwvvnJ+RsTN3b00ayq07bv6cRC783tBT9f+01ahpmav3TcjilxaTnjlvb21Sl75eniRy4cV35iiMleRyoHszu8JKrf7qyuTh+KePXuYz+BasWJFSkoKe6A0ih/zryKVSbMkjsrwi9CXSAqmTeT64U4uV1dX5nv/CHYQHOyBr1xcXCwtLdkNicRckO2baVy+fDnZOW3aNHZbgkn4DDMzKQR7O4BySJLjEOHl5dWvXz/yLNPV1b169SqzU0hlfqrfq5XtmiorVOm56oAvu/NbvgfWWKgpKDdtt/KVX2qRv+YLr/xmVYeSV/ZNKXKah5DGFJW5uJX3C62sqNzkL658//79Fi1akEe+ubn5+/fv2b2lJGTMv4hURhySTOhIJBrp1L/BfAzrmTNnyNfcUzIkTXBwsIR/mClB4gSZzG/ezUWGTXZK8twyJH+GyQiZBy0XmVuC+Zq9HUA5JOFxiBS5ceNG4VWGmTXw3NzcYivnZaV57FtoVkVFSd/o361nnvp/4V7qK+eL/9MzW8cbNVSuVKXbwn0eaVlF+lKhYyaVP+0vUrnI1cG+BDw9y62cmcseYQhrTFGZi1O5xXihlc0W/K2VIyIipk6dSh7z2tra586dy8jIYA+UkrAx/xpSGXFIMiEOlTPl4twhMrzv32wmmQFD0JsXXab4fo8EKkcz/I1yMb0APyXhcYhISUmxt7evVKmSurr6xo0bmZ1dunQpvnKy95lZ45tUJM9Qrc4TZm66cPbKdYErZy9smjmhsxbZr9Rg7Cxn7yKXqyvwszEXqWyzsUjliV0EHx1bXOWfNaaozFWiyjOPef2tlffs2UN+MyopKU2bNi0hQdjV6oT72ZjLjlRGHJJM6EvKGcmPQ9936lFRUY6OjmTY7LYkYd7QxW4UvOeebHJPPpZA5WuGv0EGWS7GCSCc5Mch4vPnzxYWFjIyMm3atHn37h2Px+vRo4fQyv7PLk4f2KpGVVVFOTnmyVpATk5RtWqNNgOn7n/iz56IVEQJxlzGyiVoTFGZS1B5UGuhlX90Ns1fUPnjx49kk3yfqakpebQzO8umBGMuI1IZcUgyoS8pZyQ8DjEXff4hiT3j38jIqDBdkHGSgMR8LZnK4wxzMUNlNwDKrXIRh/Lz8w8cOKCrqysrKztmzBhvb29LS0tra2v28I/kZof7vTruNMeyvRFFyRY8Xcl/jdpbznE6/sovPJ3H3q6okoy5sHIHYxluZQvbrUIql6QxRWUuUtn/tXORyjJ/c+UZM2aQryMjI8eOHSsvL6+lpbVly5bSftDQN0oy5rIhlRGHJBP6knKG/D5zdXXNyspityUMc07ID7G3kEhkeOQVikRNdluCMZP5Q+wtJFs5GiqAEOUiDhFxcXHz5s0j7WWNGjVsbGzq169vZ2fHHitWVnK4x7vXN27cuipw68aN1+88wpOF/NYp8ZiZyjdLXrnEjSkqc2UXqXzzb648f/789PT0tWvXVqlShTzOSdon0Yi9RVmVeMylRiojDkkmxCEAAIDSKS9xiPj8+fOQIUNIp1i1alVZWdkVK1awB0RHfLMh1sYUlQuVx8o8Hs/MzGzixInXr1+vV68eeYT37t1bJO91F+tsIA5JJsQhAACA0ilHcYh49uyZiYkJ6ReJRYsW5edzP75FBBCHuFCZS3yV+Xx+r169mjZtamFhQR7YjRs3vnPnDnvs14h1NhCHJBPiEAAAQOmQAGBqajpz5kx2W6RIwyTyyrdu3WrWrJmCgoKVldUvnmj+Q+IYMwOVuVCZ659//iFBSF5e3sDA4OzZsyLM+eIbc7du3crFBxtKG8QhAACA0mHWQ6ZOnZojaqmpqSRoibZybm5udHT00qVLNTQ0KlWqNGHChLCwMLKTx+Oxt/g14hgzIy0tDZULoTKDPG7JozcmJqZnz54kDlWuXNne3j48PJzsZG/xa8Q6G126dBF+ORP4IxCHAAAASoc0Xr1799bS0iKhSLRIH1alShXRViYdWNeuXRs2bFihQgWmfTQ3N+/Vq5eZmRl7i18jjjEzUJkLlRnkcWtpadmjR48aNWqQxzPRoEED8ggnj3P2Fr9GrLOhpqa2ePFi9nUEJAbiEAAAQOnweDwLC4umTZtOF7UpU6aQPkzkla2trW1tbfX09Jj2kdDW1h47dqyNjQ17i18gpjETU6dOReVCqEyQR+y///5Lsj3zMG7fvr2Dg4OdnR15hLO3+GXino358+ezryMgMRCHAAAASoc5d2j27NnstkiZm5uLqXLfvn3r1KnToUMH0kd27tz5xYsX7IFfJr4xozIXKhMfP360srJi4tCyZcvYvSIlvtno3r07zh2SQIhDAAAApcOcO8R8BKRo5eXldenSRRyV+Xw+afImT5586dIlTU1N0kqOGjWKdJbs4V8g1jGjciFUJvz8/MhjWE5OTlVVVV5eXhxxSKyzYWZmNh1XlpM8iEMAAAClI75LS4u1Mmny7OzsyBerVq1SVlZWUlKaOXNmREQEe4uyEt+Yc3BpaQ5UTkpKcnBwIA9dNTW1WbNm6evr29vbs8dER6yz0RUX2pZIiEMAAAClU07jEKlsY2NDvg4JCRkxYoSsrGy1atUWLFgQFxfH3KZsEIe4UJlLhJVTUlLWrFmjoaFBUdTw4cPd3d27desmjjUcsc4G4pBkQhwCAAAonfIbhwrPW3j58mWvXr1IZ0kS0apVqxITE5n9ZYA4xIXKXKKqTB6fjo6OzJs8e/To8eLFi7y8PAsLC3GchyPW2UAckkyIQwAAAKVTfuMQt/LNmzfNzc1Jf1mjRo0NGzaUeY2oxGPOTon45PbW5ZbLdQGXW7feuH0KT85mj/5AiRtTVOYqj5WFSU1N3b59O3NZ7Y4dO5LHLbP/1yv/kEjG/EOkMuKQZEIcAgAAKJ2/Iw4Rt2/fJjtJl1m5cuWNGzempKSwB0qjJGPOzYjwf+283a6XSStZGXnyAylKXkamZQfLuducX/uHZ+SytyuqJI0pKnORygFvThSpLCfplYVLT08/ePBg7dq1yQ80NDQ8c+YMs5/H4/1i5eL8+piLQyojDkkmxCEAAIDS+WviEOkpL1++3Lx5c9Jramtr7927Nzf3x32tED8fc2rA84PWg9rWrKaqKCcnaNFZsnKKqtVqth007cDTgFT2tlw/b0xRmaug8uB25aqyUOTRuH///nr16pEf1bRp03PnzmVmZjKHfrGyEGKtjDgkmRCHAAAASueviUME6S8vXLhgaGhIOs769euTRESaNvZYyfxszCk+J2b/q1uR1Nc0/dd6/bnTl64KXDp9fsOMCZ21yH4l3XGzT/gks7f/v581pqjMVVzlM9zKs457S1Llnzh58mTjxo1JffLIPHPmTGEWIn6xshBirYw4JJkQhwAAAErnb4pDRF5e3tmzZ5s0aUL6Tj09vaNHj5I97LESEDbmvKx0zwOLuqmpVNRrMW7L6cf+odwTTXK++D85s2VcC31lFbVui/Z7pGUWXZoS1piiMleRypuFVK5ivlBSKgtFHoEkpRsbG5PHpK6u7vcpvcyVf0qslRGHJBPiEAAAQOn8ZXGIcfDgwQYNGpDuk+Siixcvcv8SL5yQyvxUvzerTZoqK1TpuXK/D7vzWz77V1tUUVBu2n7Va9+UIjFMSGOKylzcyvuEVlZUbiIhlYUg33X58mUjIyPyaKxbt+7u3bvJHvbYV2WrXBJirYw4JJkQhwAAAErnr4xDPB5v3759derUIT2ooaHh+fPns7Ky2GNCFV85PyPi5t7eWjUV2litehzI7vxe4NM1/doo1NTstftGeHo+u1Og+MYUlbmKVA5gd35PULmdpFQuVm5urouLS+vWrcnjsEaNGtu3byePTPYYRxkql5BYKyMOSSbEIQAAgNL5K+MQkZ6evnfvXuaTLlu0aHH27Fn2gFDFV85M8juwuGEtRf0pc29E8tmd3+NH3Zo3RV+xpv7C/T5J3DWp4htTVOYqReVpDSWkcrHu3LljZmZGHoGqqqrr169PSkpiDxRVhsolJNbKiEOSCXEIAACgdP7WOESkpKRs3ry5WrVqpB81MjJydnb+6bXmiq+cnuCz276eunyLOYtc49l9P5LweMmcFvLqdefu8kpIZ/cJFN+YojJXKSrbGUlI5R87ffq0iYkJeeyRR6Cjo6OQz8IqbeWSE2tlxCHJhDgEAABQOn9xHCLi4+PXrl3LXN24cePGu3fvLu4v9AyhcWiXfV11OaO5i10T2H0/kvjYYa6RnHqduTtL0aajcqFSVLY3lpDK30pLSzt8+DBzhcNatWqRR2BCgrCfWPLKpSXWyohDkglxCAAAoHT+7jhEJCcnb9++vVGjRqQ31dDQ2LBhQ2RkJHvsO8VXzk4OOLKsac2KdcbMvBha/NW7c75cmj2mTsWaTRwO+yUVuW5ZsY0pKnOVovK4uhJSuYiYmBjyeKtbty55vOno6Dg6OgpP4EQJK5eBWCsjDkkmxCEAAIDS+evjEEFat+PHjxsZGcnKylaqVGnRokWBgT8+/19I5axo1xPD6mpQDU3trn8ocskxjrwPN+d1bkhp1Bl6/EEU98QTYY0pKnNxK7sLrWwgIymVC4WFha1cubJKlSokC+np6e3bt498F3useCWpXDZirYw4JJkQhwAAAEpHGuIQkZmZefXqVfJdpE9VVVWdOnXq58+f2WMcQirnZ3zx2tWnfQ3ZCu1mrn6S9qNz8flpT1bPbl9Btmb7Xjs/hxa5LJmwxhSVubiVVz0WVlmuRjsJqczw9fWdNWtW5cqVyWPM2Nj4/Pnz6encd9sV66eVy0yslRGHJBPiEAAAQOlISRwiSAPn6uo6cOBA0q0qKysPGTLk8ePH7LGvhFXm5+ZE3NwxTEdbrrpW10krTz5zi2WPCMS5PT+1alJXrRoKWjrDd1wPz+EVbbeFNaaozFWk8kQhlesN3S4plWn69evXY8aMYbJQz549b926RR5L7LGfEV75V4i1MuKQZEIcAgAAKII0Z0ePHmU3fkR64hDjzZs3kydPVlFRITNjaWl57do10tixx35emRf1bMtii5oKFKXQoKvFuMULl60QWLZw8XjLrrqKZHd1k4Vb7kV9/+EyP2tMUZmLrSwoUXzlzXckojKfz79z586AAQPII0peXn7kyJFPnjxhj5XMz8ZcdmKtjDgkmRCHAAAA/k9JSQlx6Hs+Pj52dnbMRxK1a9fu5MmTycnJzKESVI73eblx3lBjA03SOhehoGlgPGzehlte8T86L6UEjSkqcwkqzx8mtPKPrpr+myunpaVdunSJBAPy7dWrV586daq7uzt7rMRKMOYyEmtlxCHJhDgEAADAWrhwoYGBAenSEIe+FxkZuXbtWk1NTTI/+vr6O3bsYC6FzOfzS9DkZaWEP7m622bMsEYNG9cVaNyw4dDRM3ZdeRKeksXe5lsla0xRmSsrNeJpkcoGklU5MTHx0KFDTZs2JY8iNTW1xYsXBwcHs8dKo2RjLguxVkYckkyIQwAAAAJJSUlKSkokCCEOFScuLm7v3r26urpkimrVqjV37tzQ0FDS5Jmbm5egMp+XHhcdFRgY6C9A/n9UdFz6NyebFFHixhSVuSSusrW1NbMZEhKyYMECbW1t8vjR0NDYsmVLVFQUc6i0SjzmUhNrZcQhyYQ4BAAAIEBaNPJfxCHhUlNTT58+3bp1azJLqqqqI0aMIJtGRka2trbsLUSnnLa8qFyIqTxv3jzy9a1bt4YMGaKmpkYeOc2aNSNPscTEROZmZVBOZwNxSDIhDgEAANCkTXF1dSVfIA79VG5u7s2bN4cNG1axYkUyV4aGhqTHdXBwYA+LTjlteVGZq2fPnr169SJPqA4dOpBHi7y8/D///HPlyhUe7/srL5RCOZ1nxCHJhDgEAADSztvb28DAgPm6hHHI1NRUHOshhLm5ebmoHBUVtWHDhnbt2ikqCk6vJz3uq1evsrKKO4ukjMrLbHChciHyTLGwsFBRUalXr56srGzLli1XrFjx5csX9vCvKY/z3L1792nTprEbIDEQhwAAQNqRbp79qmRxKCcnx8zMbNiwYZ9Ezc3NrVWrVpJf+fPnz56ens+fP1+yZEmNGjXIjBEkGjk7O/v6+gYEBPj4+JAbsLcuq/fv34tpNlCZS+SVvb29yWPA39///PnzzZs3Zx4eqqqqJGM8efKEPDDI44e9aVmV03lu06bNzJkz2dcRkBiIQwAAINV0dHS453OXJA7l5uZaWVmpqak1FDV9ff2KFSuWi8qNGzdu2rRp3bp1SVkZGRmm5a1Zs2aDBg309PQaNWpEbmBgYMDeukzK0WwUkvLKzP1O/kseA7q6uurq6sziIVGhQoXatWuTxwy5AXvrX1BO51lZWVkcbyuFX4Q4BAAAUmH5d8hOEnvGjx/P3IBRwtWh7t27m5ubHxO1gwcPklayvFQ+fvz46dOnL1y4YGxsTNpfExMTpvEl+vbtS34iOUpuw9669A4dOiSm2UBlLlFVZh4P5ItBgwaxj4MCw4YNu3r16uXLl8+cOfMrjweucjrPBgYGc+bMYV9HQGIgDgEAgFRgWzOOH+7kYiLT95hzh+bOnctui1S3bt3KXWVLS8vhw4ffu3dvxIgRqqqqZOp69uxJ+r9fuXQYozzOhjRXTk1NJZnHyspKVlaWPBLIF9ra2itWrGAPi1R5nOcePXpMnTqV3QCJgTgEAADSi1km4urfvz/p5sl/ydfMtea+J77rv5XH62Uxs8Gceu7r62tvb6+np0fmsGLFihMnTrx161ZkZCRzy9Li8XhiGjMqc4mkclxc3J07d6ytrStXrkzu/Xr16s2fP//t27empqY2NjbsjUSnnM4zriwnmRCHAAAA/q8kb5YTXxwqv5ULP2ozIyPj+PHjnTp1UlZWJjOpra29YMECNze31NRU5gYlVx7DoRRWTk9P//Tp0+rVqxs0aEDucSUlpVatWu3atYuUzc/PF1MAKKfzjDgkmRCHAAAA/g9xqLS+r5yZmfnmzZtZs2ZVr16dTKaKigrpjzdt2lTaKyyX05ZXqipHRkbu3LnTxMSEWRRSU1ObPHny06dP09LSyFE+n495LkQqIw5JJsQhAACA/0McKq3iKoeGhv7333+jR4+uUKECmVINDY2+ffsePnw4Pj6evcXPlNOWV0oqk8Bz4sSJQYMG1alTh9y/MjIyQ4cOPXv2bGBgIHsLzHNRpDLikGRCHAIAAPg/d3f35cuXk/+y2z+COMQlvLKnp+e2bdssLS1lZWVJ06yrq2ttbX3t2rWSvHcOzTSX5FTOyMi4devWnDlzDAwMyH1KmJmZbdiw4cOHD+wtvsI8c5HKiEOSCXEIAACgdBCHuEpS+c2bN3Z2di1atGBCUbNmzdavX//u3TvSWLO3+BE001ySUDkrK8vd3X3Lli2tWrViglDTpk1nzJjx6NEj9hZFYZ65SGXEIcmEOAQAAFA6iENcJaycmZl57969UaNGaWpqysnJkU7axMTk8OHDwcHB5BB7o6LQTHP92crkXv7y5cuJEyfMzMxkZGRIrK1Vq9agQYOuXbuWnp7O3ug7mGcuUhlxSDIhDgEAAJQO4hBXySvn5eVFRkaePn26Z8+epKUmatSo0atXr6NHj0ZHR7M34kAzzfUHK0dFRZ09e3bIkCEkAjHre6ampsePHw8LC+PxeOyNfgTzzEUqIw5JJsQhAACA0kEc4iptZXL7Dx8+bNu2rUOHDgXvt6IaNGhgZWW1fv36jx8/sjcqgGaa649U9vLy2rlz54ABAxo2bMjcWUZGRhs2bHBzcytuTY8L88xFKiMOSSbEIQAAgNJBHOIqW2XyXXfv3p0/f37Hjh2ZPrty5cr9+vUjoejBgweF778yMzObNm0a87UIoU3n+r4yuXeePn26efPmgQMHamhoMHdQ27Zt7ezsbty4IeTdcd/APHORyohDkglxCAAAoHSkJ7SUxK9UZk4omjNnTocOHZgPKSJMTEw2bNjw8uXLkJAQ8rWtrS17a9FBm87F4/FI5blz55KvY2Jinj9/7uTkZG5uztwdampq7du3t7GxuXXrVklWhLgwz1ykMuKQZEIcAgAAKB3EIa5fr5ybm/vx48dVq1a1bdu2WrVqzIUWmjdvPmvWLB0dHdKICz9BpQzQpn+jW7duY8eO/fz584oVKxo1akTmn9wL5L5o1aqVg4ODu7t72e4CzDMXqYw4JJkQhwAAAEoHcYhLVJWTk5P9/f0PHjzYvXt35pNbK1WqRJpyUryEn1NUcmjTuZKSknr06FG5cmVDQ0PyXzLzsrKyXbp02bdvHwlI5Ch7u9LDPHORyohDkglxCAAAoHQQh7hEWzkjI+PDhw+nTp0aO3ZszZo1mVDUpEmTYcOGbdq06dGjRyLJRWjTCVLw5cuXmzdvHjp0aK1atchUE2pqaqNGjXJ2dn7//n3JzxEqDuaZi1RGHJJMiEMAAAClg9DCJabK3t7ex44dI0GIadOJypUrkx80Y8aMvXv3urq6/vDa3CUkzW16QkLC06dP9+3bN2fOnO7du1epUoWZXn19/cmTJx89etTT05O96S+T5nn+HqmMOCSZEIcAAABKB6GFS3yVid69ezdr1szW1tbU1LROnTpM4y4nJ9exY8f58+efP3/+7du3kZGR7K1LTArbdJIeyVxdvnx56dKlZmZm8vLyzGTWq1evffv2VatWHTNmTFxcHHtrEZHCeRaCVEYckkyIQwAAAKWD0MIlvsp5eXldunSZMWMGn8/39fU9cODAiBEjGjduXL169YoVK5JWvkKFCm3atFmwYMH169eDg4MTEhJKeMa/lLTpZAITExNDQkLu3LlDUlC7du2Yk7LIf8kcNmzYcMCAAYcPH3Z3dzcxMbGxsWG/TXSkZJ5LiFRGHJJMiEMAAAClg9DCJb7KTGM6c+ZMZjMjIyMqKor07keOHBk7dmzdunVJZy8jI6OqqqqpqdmxY8e5c+eSXBQREUHiE/Mtxfnr23QyA7Gxsffu3SNZkcyMlpZW5cqVZWVlyYxpaGgMHjz44MGDZCYjIyPJrObm5pI2ncRO9ptF56+f51IhlRGHJBPiEAAAQOkgtHCJOw59XzkzM9Pf3//Ro0d79uyZMGGCvr4+6fIJZWXlJk2a9OjRY9KkSRs3brx69aq3t/cP14v+yjY9Ly/Pz8/v2rVr5N9OZsDCwsLQ0FBFRYWZnNq1a48ePZrM2MOHD8m0kBTEflvBN/59s1FmYq2MOCSZEIcAAABKB6GF6/fHIS4SAC5fvrxu3bqRI0c2a9aMaf0JEgNatGgxYMAAW1vbLVu2nD9//tWrV9yzjMzNza2trdkN0RFfM52bm0sqF66VMWJiYt6/f09mYMeOHfb29oMHDzY2NlZVVWVngaIaNWo0bNiw1atXnz171svLi/22ospptCiPlRGHJBPiEAAAQOkgtHD92ThUKDQ09OLFi/Pnz//nn386dOigp6fHfIQOo3bt2paWlnZ2docOHXrw4MHr169btmz5x8dcWmZmZuPGjYuIiCAR6N69e+TfsmDBAvLvJf9Y9t9ZsESmo6PTtm1bKyur2bNnnz59OigoiP3+YpTTaFEeKyMOSSbEIQAAgNJBaOGSkDjE4PP5GRkZnp6e586dc3Bw6Nu3b+PGjdXV1dXU1JSUlJjAUL169Xbt2pGw1KdPn7t377q5uQUGBoaFhcXExCQmJqalpZGfm5+fz1YsJR6P9+uzQX46GQMZCRkPGVV4eHhwcPDLly9bt25tbGxMQp2pqWlh2KtQoQL5ulatWrq6uj169LC3tz9+/Dj5R5Fv/+k5VAyxBgBULkQqIw5JJsQhAACA0kFo4ZKoOFSIjCopKSkiIsLb2/v69euOjo7Dhw83MDBgLjAtKysrIyOjrKyspaVVp04dEpnMzMzGjBkzb948JyenixcvkuwRGhpKkhVJFKWKRoVXw2O3S4z8FCbLkZ/74sWL//77b8eOHfPnzyej6tatW7Nmzcg4SfJRUFBQVVWVk5NjspCOjs6AAQOWL19OxkxCIAl1CQkJmZmZbNGSQWjhEmtlxCHJhDgEAABQOggtXJIZh74RHx/v6+v77Nmzy5cvb9269d9//9XQ0GASBVelSpXI/kaNGrVp08bc3Lxfv34TJkxYtGjRzp07z549e6WAi4vL06dPSV569+6dn59fUIG4uDgyD+QHMWO2s7Njfi7ZSZCjzM3I7cl3kbRDRnL37t2rV6+SgqQyqb948eJJkyb179+f/NzWrVuTMZCoVnghhEJVq1YlR0ePHr1u3boLFy48fvzYy8srJiamhAtBP1ROo0V5rIw4JJkQhwAAAEqHNLimpqZz585lt0WqW7duqFxITJVJOurYsWOPHj1Iojh48KCjoyMJMGPGjOnVq1fbtm11dXXV1NTY/FGQkerVq9eiRQtyiGC+0dLS0srKatiwYSMLkCQza9Yse3v7OXPm1K5du127ditWrJg/fz7ZSZCjzM3I7cl3ke/t2bMn6bmZgqQyqc9NPuSnkzGQQ2Q8JPmQmps2bSKRSV9ff+DAgR8+fCDjZ/8lIoLHBpf4KpNHztSpU9kNkBiIQwAAAKWTk5PTvXt30jM5i9rhw4cbNWqEyowjR46IvPKJEydOnTp18uTJxo0bk1hy+fLlK1eukP0bN24kqWPEiBHknjU0NNTQ0JCRkWHTyW9HfjoZAxkJGQ9JUyStnT59miS35s2bW1hYkC/Onj1L/hXk38L8o36ROOaZgcpcpDJ51JGHGfs6AhIDcQgAAKB0cnNzraysqlSp0lDU9PT0KlasiMoMfX19MVUmSOWqVauS9pRhYGBAmmCyn/xQgvyjdHV1GxSo/5XOd+p9p27duhUqVFBRUSFfsLuKYr+Tg61evz7z48jPJT+dGQYZDxkVGRszQmVlZTLmwqGKCvlB5e4eLL+VHRwc2NcRkBiIQwAAAKWTk5NjZmY2dOjQj6L29u3bVq1aoTLj3bt3v6eyh4fHp0+fPD09vby8vL29fXx8fH19/fz8/EuPVGjTps3IkSPZ7dIjP5f8dDIGMhJSjYyKjO37MYsQKnOJtXLr1q2/+eQokASIQwAAAKXDnDtka2vLbouUubk5KhdCZS5U5iqPlbt3745zhyQQ4hAAAEDpkDgkpmtPoTJXOb16GCoXQmUuUhlXlpNMiEMAAAClg9DChTjEhcpcqMxFKiMOSSbEIQAAgNJBaOFCHOJCZS5U5iKVEYckE+IQAABA6SC0cCEOcaEyFypzkcqIQ5IJcQgAAKB0EFq4EIe4UJkLlblIZcQhyYQ4BAAAUDoILVyI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the effects of a blockage in a chemical plant","description":"From the perspective of flow, a chemical plant can be described by a collection of _nodes_ and _edges_. _Nodes_ are points where multiple flows meet, such as mixing points, splitting points, or plant equipment that process the flows, whereas _edges_ are the pipe connections between the _nodes_.\r\n\r\nFor a chemical plant with _N_ nodes, we can use an _adjacency matrix_ of size _N_ x _N_ to represent the topology. For any adjacency matrix *M*,\r\n\r\n M(i,j) = 1, if a pipe connection exists between Node i and Node j;\r\n = 0, otherwise.\r\n\r\n*M* is always a symmetric matrix because if a pipe exists from Node _i_ to Node _j_, then the same pipe exists from Node _j_ to Node _i_. Also, elements in the diagonal are always zero since a node cannot connect to itself. Not shown in matrix *M* are the edges that connect the plant to the outside world. Here, we will simply assume that these edges exist to provide continuous flow to all the nodes.\r\n\r\nHowever, the plant does not need to be fully connected; some nodes may be unreachable from other nodes by piping. Hence, if the flow was suddenly blocked inside the equipment at Node *P*, then it may affect only the nodes reachable from *P*. _The effect of blockage can propagate from one node to another node if and only if there exists a series of piping that connects them (i.e., blockage effects have no regard for the direction of flow in a pipe)_. \r\n\r\nGiven an adjacency matrix *M* and the value of *P*, can you tell how much of the plant may be affected when a blockage occurs at Node *P*? Write a function that accepts variables *M* and *P*. You are ensured that 2 \u003c= _N_ \u003c= 30, and 1 \u003c= *P* \u003c= _N_. Output a string (with no newline characters) with the format:\r\n\r\n Node P blocked! It may affect X% of the plant.\r\n\r\nwhere |P| is the given value of *P* and |X| is a floating-point number rounded to 2 decimal places, which is computed as the \"number of affected nodes\" divided by the \"total number of nodes\", and given as a percentage. Note that if Node *P* happens to be isolated from all other nodes, then there is exactly 1 affected node.\r\n\r\nSee sample test cases:\r\n\r\n \u003e\u003e M = [0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0\r\n 1 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 1 1 0 0 0 0\r\n 0 0 1 1 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 0 1\r\n 0 1 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 1 0 0 0 0];\r\n\u003e\u003e propagate_blockage(M,2)\r\nans = \r\n 'Node 2 blocked! It may affect 40.00% of the plant.'\r\n\u003e\u003e M = [0 1 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 1 0 1 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 1 0 1 0\r\n 0 0 1 0 0 0 0 1 0 1\r\n 0 0 0 0 0 0 0 0 1 0];\r\n\u003e\u003e propagate_blockage(M,4)\r\nans = \r\n 'Node 4 blocked! It may affect 30.00% of the plant.'\r\n\r\nFor a visualization of the above cases, see figure here: \u003chttps://drive.google.com/open?id=1g63o4tvoF_89fNKuoCOs2YzfezktjD3Z\u003e\r\n\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1465.4px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 732.7px; transform-origin: 407px 732.7px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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=\"\"\u003eFrom the perspective of flow, a chemical plant can be described by a collection 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003enodes\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eedges\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eNodes\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are points where multiple flows meet, such as mixing points, splitting points, or plant equipment that process the flows, whereas\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eedges\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are the pipe connections between the\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003enodes\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; 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 a chemical plant with\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e nodes, we can use an\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eadjacency matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of size\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e x\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e to represent the topology. For any adjacency matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eM\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e,\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 40px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 20px; transform-origin: 404px 20px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eM(i,j) = 1, \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(14, 0, 255); border-block-start-color: rgb(14, 0, 255); border-bottom-color: rgb(14, 0, 255); border-inline-end-color: rgb(14, 0, 255); border-inline-start-color: rgb(14, 0, 255); border-left-color: rgb(14, 0, 255); border-right-color: rgb(14, 0, 255); border-top-color: rgb(14, 0, 255); caret-color: rgb(14, 0, 255); color: rgb(14, 0, 255); column-rule-color: rgb(14, 0, 255); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(14, 0, 255); text-decoration: none; text-decoration-color: rgb(14, 0, 255); \"\u003eif \u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ea pipe \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); \"\u003econnection exists between Node i and Node j\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e = 0, \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(14, 0, 255); border-block-start-color: rgb(14, 0, 255); border-bottom-color: rgb(14, 0, 255); border-inline-end-color: rgb(14, 0, 255); border-inline-start-color: rgb(14, 0, 255); border-left-color: rgb(14, 0, 255); border-right-color: rgb(14, 0, 255); border-top-color: rgb(14, 0, 255); caret-color: rgb(14, 0, 255); color: rgb(14, 0, 255); column-rule-color: rgb(14, 0, 255); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(14, 0, 255); text-decoration: none; text-decoration-color: rgb(14, 0, 255); \"\u003eotherwise\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 41.6px; text-align: left; transform-origin: 384px 41.6px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eM\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is always a symmetric matrix because if a pipe exists from Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e to Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-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; \"\u003e\u003cspan style=\"\"\u003e, then the same pipe exists from Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-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; \"\u003e\u003cspan style=\"\"\u003e to Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Also, elements in the diagonal are always zero since a node cannot connect to itself. Not shown in matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eM\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are the edges that connect the plant to the outside world. Here, we will simply assume that these edges exist to provide continuous flow to all the nodes.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; 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 41.6px; text-align: left; transform-origin: 384px 41.6px; 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=\"\"\u003eHowever, the plant does not need to be fully connected; some nodes may be unreachable from other nodes by piping. Hence, if the flow was suddenly blocked inside the equipment at Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, then it may affect only the nodes reachable from\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eThe effect of blockage can propagate from one node to another node if and only if there exists a series of piping that connects them (i.e., blockage effects have no regard for the direction of flow in a pipe)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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=\"\"\u003eGiven an adjacency matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eM\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and the value 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, can you tell how much of the plant may be affected when a blockage occurs at Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e? Write a function that accepts variables\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eM\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. You are ensured that 2 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 30, and 1 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Output a string (with no newline characters) with the format:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10px; transform-origin: 404px 10px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eNode \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); \"\u003eP blocked! It may affect X\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(2, 128, 9); border-block-start-color: rgb(2, 128, 9); border-bottom-color: rgb(2, 128, 9); border-inline-end-color: rgb(2, 128, 9); border-inline-start-color: rgb(2, 128, 9); border-left-color: rgb(2, 128, 9); border-right-color: rgb(2, 128, 9); border-top-color: rgb(2, 128, 9); caret-color: rgb(2, 128, 9); color: rgb(2, 128, 9); column-rule-color: rgb(2, 128, 9); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(2, 128, 9); text-decoration: none; text-decoration-color: rgb(2, 128, 9); \"\u003e% of the plant.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003ewhere\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is the given value 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is a floating-point number rounded to 2 decimal places, which is computed as the \"number of affected nodes\" divided by the \"total number of nodes\", and given as a percentage. Note that if Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e happens to be isolated from all other nodes, then there is exactly 1 affected node.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eSee sample test cases:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 520px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 260px; transform-origin: 404px 260px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; M = [0 0 1 0 0 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 1 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 1 0 0 0 1 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 1 1 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 1 1 0 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 1 0 0 0 0 0 1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 1 0 0 0 0 0 1 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 1 0 1 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 0 1 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 1 0 0 0 0];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; propagate_blockage(M,2)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); \"\u003e'Node 2 blocked! It may affect 40.00% of the plant.'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; M = [0 1 0 0 0 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 1 0 0 0 0 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 0 0 1 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 1 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 1 0 1 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 1 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 0 1 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 1 0 1 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 1 0 0 0 0 1 0 1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 0 0 1 0];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; propagate_blockage(M,4)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); \"\u003e'Node 4 blocked! It may affect 30.00% of the plant.'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor a visualization of the above cases, see the following figure:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 343.6px; 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 171.8px; text-align: left; transform-origin: 384px 171.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"600\" height=\"338\" style=\"vertical-align: baseline;width: 600px;height: 338px\" 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diRqDewDFCNY4PiNK9hQiYkt7hYxiVlJC3alSalbOpBEN8aR5KxBkyZNbN5g/v7773LgqsSxowETfdwtIhgnaNF/+OEHmP7KlStJVmDp0qXQBE4Wkr2RLDfGl+SsgavTuGvXro72kyZNGjx4MAlMPEltcr/99tvdzV0CGo4dO5YEDyTIjbEmOWvgKpSPPfZYFXvPpwcTEdytIBgnYsW/+eYbn6ELzefNm0eCW5LixriTnDVwFc1grGLvqk8mgrhbQTBOxIoHErfeO0mKG+NOctbAMRYffPBBsEEmTJhAWlvAkkpMPHG3gonISjDlQO51umLFCo/xnwg3JoDkrIFKIEK8vvbaa4WFhWCsYq9iw0QZdysIxjFf8ZUrVwYYtNDV5s2bSVAn/m5MBslZA7cxDfbHHHMMCRYEeJ4wecHdCsY/K9nP96GHHgIDHVRngaOBCfF3YzJIzhq4jUItsO2afP3118cffzwJ+UD3Y0KZWbNmkRFjC/iKSirEPyvZz/fUU08Fg0MlHJ9k4M6BSPzdmAySswYQha7uBAn29oFbpkyZHj16/PrrryTnEBzb/PnzSTawzz77gEH37t1JZiwAL1FJhZhnpTfffLNXr14kmIHJnQQ1WrVqtWzZMhIUibkbE0Ny1mDz5s2lSpUiwQDEdGFh4datW6G8Y8cOEB2jHG0EDRs23LJlC9WFBryiwLFIcOLEE09UN04n7vwDxnH2Z9WqVTdu3EiCGR6S+7Zt26BbEhSJuRsTQ6LWwD5woVaGtBZMnDjx8MMPx/K0adOoTTHXXHMNVgUL9HzrrbeSoAy0+uCDD0hgSgLOoZIKMc9KjpP1kNwB101i7sbEkKg1eOedd2w2766wCuibbroJqmQmT55Mdf6Arv7++28SXAJt+RmBpoBnqKRCzLOS42RPPvlksJGhClsUzf4h5m5MDElbAwjEnTt3kuCVOnXqXHrppSRYsHnz5qZNm2onCLHXXntRnXuguat7gBiBHqjESLhzS8yzkspkd+/ejYURI0aAvUoTFZsSxNyNiSGBa+A6Fkvy8ssvu+0BdtxVqlTJnijFdO3aNZPJULUTxx9/fJs2bUjwARyXSkwx7nwCxnH2odsAWL58OTRxfOvp+t1wzN2YGBK4BhCvbqNc8NFHH3lui4wZMwYHIHj22WepzgKwoZI/+vfvn99rNyOIO9+CcUBrkRcaN268dOlSEtQA/xx99NEkmLFo0aJmzZqRoEjM3ZgYkrYG2WxaUIBPJ9i2bRtp1ejQoQO0IiEIzjrrLG04RMWKFX/++WeqKwZOyC+//JIEAxs3bry3JFRhARyFSoyGO4fEPCvNnDnzkEMOIUEN8M+LL75IghmNGjVas2YNCYrE3I2JITlrMGXKlGwGlaIKyuXLlyfBCTCGOCYhaPBH4TIHHHAAVkEZC6agsQxMk+rMgF0YnOEkME7u1RP/rGQ/3xUrVlBJQwsoh/k6GpgQfzcmg4SsQf369SEKK1SoQHIx8KZSC+CC3377jVQlGTduHBqQHD7vv/9+qVKl8KAIVZjhaGDErX2ycecNMI6z93bt2gXztXnURjaYSmL/u79169aBDQnqxNyNiSEJa4Bhav/I03/9619opmPYsGFkkQ8aN248fvx4EszAQZKghlv7ZOPOG3HOSlqkEKQyY/r06ZdofPfdd6SyBrpSvy7gH+LsxiQR+zXAaF6/fj3JsQJGTiULcHYkqOHWPtm48wYYx9B7ZcuW1cKk4KWXXgIRCgsXLsQqP7zzzjvQFQmuiKcbk0eM1wDfM3qMv2jgOHicIFK7dm2VbRRYUolx6w0wjpX34J2fFhoFffv2JZWGu1lb4L2TuLkxqcR1DXr27KlFdbxjyHH8RxxxRPv27YcMGdKsWTOc7x133EF1Fjj2mSrceQOMY+K9Pn36aOFQULduXVJJ4NViJHgCmnv5QAbJrRu3bt1avnx5zRnZCyiqaeA9mgDXN8YJjebNm+OQSpUqhYMUw4bRhvHZQywTAXoEsh7JsQVmQSU1cOIkWOC2z2TjzhtgHHnv4aclgP2VYH6e2gENN2zYQIIHcuXGZcuWaZ6wO9ZPP/3kaBM2OAD7H4vVqFEDbKZPn05yEEQ9lI2gp+bMmUNynKlVq5arJ6LdcMMNMHcSLHA0SBXuvAHGEfbe4sWLs6GvQSonwPLuu+8mQQG8JwEJnsmJGzU3uDgKGDdt2pSEXDFw4EA4rvoNUbQ5Bea60NcgQMBHwU4+73zxxRdnnnkmCQoMGDDAcfpJ8o9/3HkDjKPqvWzca5CsDGwgoNXbb79NsgV414399tuPZD+E70YY6rhx40hQ5rDDDvPgQM/AsYwXZzsye/bsoAYZ0VA2cv/998Ocg5p2dHA1I0cPvPvuu23btiWBcelesM7+RQxcdOCbb74hlXvw6S5Ar169Fi1ahMrffvtN/Ig6yF1tyG6E0W7atIkEl0yYMAGakxAmcJTTTz+dBPcEMsjIhbIplStXhtnWqFGD5ARhs4rinUqbNm2wAFCdBY4GacOdQ8DYgwPr1KGGhr/MGWeQjSdq1qyprXmB/Y8hXPHpp5+Kb/ZatWplc+sL7+D0wwGG/ddff5HgiSFDhkAnJIQDvFLuv//+JHjF/yDDnWQgZMOwoOChhx4iOVls3rzZZhVXrlwpznD7e4AA+GJAAqPhziFgrG6/YwfZ29x6ZdSorEFhIYnKHHjggdqaF3Tq1IlUgYKdkxA46JYQaNy4cefOnUnwAcz9s88+IyFodu/eHYhvn3766dKlS5PgidAWOCC0IPRxVVYcCCQUgKD6SRLufALGivbqlsDPP2eN33iDRFtuvvnmbMRrP2sgVQjgIUgIHFfOcUOAYw5v+sEO0s/TKUJbYN989dVXMLcAPRVl/E+zRYsWhx12GAlMMe4cC8Yq9mAzdCiV1YFWtnem+/LLL7V4z0Kq0Aj3KNBzCJ1XqlTJ8VHdH3zwQa9evT7//HOSrTnmmGOGDBlCQnDMnTu3XLlyJNgydepUKtniZ5lCDyNvHHrooeHGX8T45Zdf/Ez2oYceSo+vXOHOLWDsaA/vI4u/kHRLpn79ourVSZD4+++/s7GuQaqQCfdYKm50j/2A69Wrh5MSUIU1KjZuUenzzDPP1AaodHRFM1OCn55/cOaurhGMOzhlgGQ3DB061FvDNODOM2Bsbw+1Pi5ZyVK6dNF111FZQ1v2LGvXriVV+OARSQgcRze6Z/Xq1fafU8F05J+MqEzQ0cADKgcFJk+e7GiJXHXVVY5PcbAi+OnJrFy5cvjw4W3btj388MNvu+02WCGqsAYn/+eff5KcAnDKUMAdnM0tW42AfeXKlUlgDKBjVQFja/tM585FDRuS4IfiQ2RXXePjjz9GTc7A45IQOLZu9EaDBg1cPT5eZYKXXnqph4vlbVi2bBm8gSDBDHj9vu+++6Dw5ptvqvtf3VJHKAuMP6QEjjjiiNdff33FihWQrJ9++ukWLVqgfuzYsWQqAakfa0lOARs2bDBOGTWOV/LiLeyXL19OMmMGuIhKKoCxjX1QkblzJ3T18MMPw9j++9//kjK3ZCMsqOkYsXejJ9yOVmWCf/zxR/PmzUkIgltuueXRRx8lwZZYJvc77rgDhnLTTTeRbMF5550HZo8//jjJRUWDBg0CDUByChg9erTNlLEKuPzyy7du3YrKF154oXXr1qh/9913UcnYAI6ikgpgbGVfv36R04OkXZDvOMcQIiFwbNzoFbejBfsyZcqQYA2YwRvfoChdurTKhxNA/JI7DMLV74zwzm1QwBtSN2nSBPVpoFGjRorumjp16rHHHluuXLny5csPGzZs1apVVMEo4O7EAGMre7V+Mh072nUi4/7i9wABt7jzjCsUPeAGV6Pt3bu3or3mhiChfp2IWXKHEaxcuZIEZWbMmJF1icK9L5IETvmaa64hmQkN8DOVVABjU/vdu831RsDs5ZeVjBU7DAeMQBICB3oOunNXowVjeL9Lgi0qu3t12rZtq/iYlDgldzj8bjgBPLF9+3bPo48jMFmAN+C5wV1ogbGpfatWmV9/pbINpUplm0+ebN6JDlcDCxoMQhICB3oOunP10YKl4pXmixYtateuHQlB8MQTT9x4440k2BKb5A7H9nNLI+Dll18O9iU0soCvPC8V4wF33gZjU3uVTrSvSbMFteSe6dDB71WVPgg3DqHnoDs/6KCDlixZQoI1rubVvHnzTz75hIQg2LFjh+LR45HcP/vss4oVK5LgA5jAryqbo9gya9YsmKPndWK84c7hYGxqr9IJ2ODTYxR37p9/njn3XCrnnHBDEXoOoXPHG624nVQYHlDsUz25H3fccZ5v7uZ3egE6KAxfR4RTTz0VZpfgCUYWdz4HY1N7p04yI0f+Y6OY3FesKMrf7SLCjUboOYTO7QeMM7q1JLt27aJqM+w79Ab0Cft3Esx4XwPGBpbwvgHK69atozoz/AzS1/SmTZvWokULEqyB8akMsXbt2on8JBqn37FjR5KZHKISeP8Axqb2jp0UFGS++ILKisl95sxM795UzjkYkyQEjpUb/XHggQf+3//9HwkGcEY6/vOf/1C1gcLCQpXPeTwAx6WSga1bt+LAdFC1gfnz5/u5MaSvNbAZFvLRRx/h6AFS2aJoFiNw7p9++inJTG5xF1FgbGpv34mu1RtvONgjJ55YlPMfpgowLEkIHJ1DgiPAMYc3feh5y5YtJPjD5yD9NbY99tSpU8Fg/fr17du3Vxylz8lEDZhOwmYUO9z5H4xN7Zs1K7L5JTC2Mv2zoVQpKuSDcCPTce5euf/++xWvhLEnxLlrBNJ/69atDz/8cBI84WsQinNIYXJftWoVzCUx04kv7pYAjE3tN28215vy3ntKxq4GFjThBif0HFrnMOzBgweT4IkKFSp06dKFhHB47rnnfLr3ww8/9L9A3tvPmzdP8caN6sl9r732olKcueuuu2C+/teG8Y+7VQBjK3v1fhQ/cw9iB+qZcOPTxo1BACNXvJzcSO3atUOcuATetJwEl3z77beBDNJ7F2+++eaoUaNIsEU9uat8PRtx6tSpA5OtzHdqLCoaPnw4nEulNfbcc0+bb7fCw91JAsZW9tWrFyl+//bqq86pDQy8/ugvEMAt7jzjChs3BgQMvkqVKiQoA60aNGhAQvj06dPHg5Px7ook+MN7L9OmTfv3v/9Ngi3qyf3AAw+kUs7BV0tTvvrqKzJyAu0d75uWbEqVKgVOqFix4jPPPEMqjf/973/wjhiq4F9ShQ8cjkoqgLGNfUCnXJYAu/JENkzDG4O9GwMCbyAzf/58km2BbSgY//DDDyTnim3btsFxu3XrRrIta9asAeP99tuPZN94X4NVq1Y1bdqUBFvUk7ur+44FxVFHHQXDg0GSbOD4448HgzZt2pBsAdgA9letJptq1aqBBxYsWECyBfPmzQOzAIPYBjgQlVSwz0oHHJA56igq+wEOke9nAmcj1ZVnXGHvxkCpXr06TOSUU04huSSQWyGlgEHr1q1JlQ969uyp+bvgr7/+IlVJYJeMBiQHhK/uFEejntwDn549eNnpmDFjSLZlwoQJYGx1S0+oAkhIJTD9xx57jAQFRo4cmQOPuTsEGNvbFxRkfP4Uo0GDTPfuVM4f2WANz/mObgyae++9F2dkZObMmWSUbyB14O7HiOJHIG7xtQYwLCrZEs3kPmzYMA+Hgya9evUiQYPvKwB4nn7YfnPXPxg72oOB9Dg3V2QOP9y5/5yQjdfwRqLiRiZ8fK1BuXLlNm/eTII1isl98eLFHr4k8cb555/vObjLly8vPsPp0qWLdpqkOpR9Tj9U77nrHIxV7MHmjTeorE7lykqd54RsyIY3GEU3MiHjdw1sQmTOnDkYQzL9+/enagNQS6WQgVcRn8eC5tOnT8/Op6CgU6dOpE0l4AEq+SCQTkxx1zMYK9qrWyIFBZlLL6VyBMgGrqvxu8Ktc5hw8LsGQYUIvAMIMdpKEsiBsidHQcG0adNITiXHH398nz59SPBBixYtBgwYQEKguFtrMFa3X7w4a1yxYvZmv1Z89527PnMFRi8JgRPJKaeQANYgkCgJMdRKUrp06UDuLbx8+XLoioS0EuCqhRQA7roFY7fDyGSolfaXKVNGFotyckWQB8AtITk8C86dyTcBrEGPHj18/rIU4szzT87cEmBMh3h6xIF+/fqZXtFfWFho6hn5lwRgQ9piLr744ttuu42E4IBjUUkFME7HmuIqkBA4qXFjxAlmDSBQTjzxRBJc0qpVq5w9humUU0555513SLAGPyMCrK5LRWbOnHnwwQeTkD7AP1QqZsWKFeg3gFTFvPHGG6DEXyCPHTvW1Mao8Y+7PsE4hDFEEM39oc00NW6MOIGtAcRKtWrVSFAG0nr58uVJCB/FgAaz66+/Hv61T+5AiGdI5DHOHTRff/31l19+aVq15557klBU9MADD5jaUCk43PUJxiGMIYKAW8LwNpEaN0acINfg2muvhYjZtGkTybasW7cOjMeNG0dyTlAJaPxZMxTgX07uNljdpsMquVOpGNDAKygJGqVCuAuuuwUC43QsKLjFnWdckRo3Rpzg1wDj5t133yXZwPPPP482JOeKTCZTtmxZEqyBgeHrExQck3utWrW2bdtGQpq4//77dbeOERiT+5NPPmlcbtBUqlSJBI1bbrlF5UMzVxiPawcY5zwsc0bNmjXBGwicCAAJBQW1a9cmo0BItBtjRFhrcPrpp1PgGBg4cCAZ5Zbly5c73scZRyjKjsm9Z8+eS5cuJSFNnHbaaYsXLyahJMbkftJJJ+k0AGh0r7WTJ0+G1wwSAsJ4XDvA2JV9HNi+fTs4AbC6cwbw+++/ow1sgEjlhyS6MY6kaA0WLFjQ2/aplXgakKDlBcfkPnz48BkzZpCQJgYMGDB9+nQSSmJM7q1bt9ZpANDokvsTTzzx7LPPkhAQxuPaAcau7CNPxYoVXXkAjOWvRjySODfGlBStwcqVK4888kgSzIDIPkq67R+Ijsm9R48ef/zxBwlp4qOPPrr44otJKIn6zl13798TTjjh+++/JyEgjMe1I1lZCeZ+6qmnkqBMhw4d3DnNSLLcGF/StQY2Ufvxxx9D7ZZiduzYAeKyZcugTBZm+D0N4ozVA0mMyR1vREFCMaC54IILSNAIw5nu+gTjEMaQF2DiVm+tHHnxxRd9rUWC3Bhr0rUGNiHbpk0bqDWFLMywr002VnM3JncANA8++CAJRUVr164Fze6STyMKw5nu+gTjEMaQe2DWkKBJ8ATeRJcEt8TcjV999VXnzp3r1atXvnz5Ro0anXLKKRCuVBcrkhDK6riKVzDmSyFtsJo73gOZhGJAIyt1IoBvlUgIDnd9gnEIY8gx//nPf8oF8YBWcN2ECRNIcEU83fjZZ59lg7KgoFmzZj/99NO2bdtg8/H3339/++23VatWxSrHhBApYh/KrnjyyScvv/xyEpxwXMtRo0bdeeedJKSP1atX6z6ZwRNAplatWlRnqCVtMUZNILjrNp5ZSUeAnvTYVdzcuHHjRpipym8w8dYasBEhOdrEPpTdoh6vYLl+/XoSzPAY+gnCgwesHgAQkjPddQvGMV/TLl263HrrrSTYMleDBAt69erVr18/EtSJlRvr1avnNvbA3sM31bkn3qHsgW7dugVyB3b8IWvbtm1JTh/4tGuAZB8E0okp7noG49BGkhtU5ptdMwnSWuBoYEJ83Aiz83Z7qIoVKwby2VeoxDuUveElXg1AJ82bN4d/gZh+3+KZDRs24MTvv//+fffdt3PnzlThiZYtW+INxcIABkklFeKTlaxwnK+2bi7mCMauf9kUEzfC1Hr27EmCe/bee+9GjRqREEniHcqecRXfRuTmUEZITjo025IeUHzIuJELL7xQ7ipw3HUOxnFexz59+rzwwgskmDF+/Hi33h45cuSVV15JgiJxcOPgwYN1P7PwADjzk08+ISF6xDiU/eDnwU/QcFXJR+DPnDkTlMC5555LqiTyyy+/4DSff/55UhUDytatW5OgTJ06daAhCeHgrv84ZCUbHCcLBu4coqH7IbEzcXCjBz+YElQ/YRD1NQiPnTt3wsJs2LCBZAV27doFTay+Etxjjz2gFiA5WZQqVcp+doqPQReA8RlnnEFCaLgaUjYlxXn5HCcLBscccwwUnn766VNPPdXxC1XEnQ+ByLsRgnnNmjUk+OPRRx/N2WP93RLjUA4ECFzF2FW0RLMw7l6bLxYtWoSTUnlgLFr++eefJBtYvnw52pAcMu4OBMa5GlgYOE5Wc7weqrNGxaYEkXej44zE12mnnHIKqaxx7C1fRHoNcgYu5NChQ0mWuO6667CWZAVeeOEFbHLDDTeQKrbgRACS1WjatCk1M3DQQQeRUU6AI1JJBTCO6omqguNkwUB3F37QOD4HzZ0PgWi7EfL1Y489RoKBlStXwnyBzp07O75bRSCkP/zwQxKiRIxDOXAmTZqEayljdddyR0qXLo09kBw3Pv/8cxx/NANXEXf+j3ZWcsRxsmCguw44u8BOrRL2mbv9fHX3ktp///0d/QNE81n50V2DZKCdO/qnUkQfHDZAcmxxNwUwjvOUzz777DfffJMEM8AbukytLbLdlMeOHTtkyBASFIm2G+3nq+Pvv/9WsXfVZ86I7hokhjvvvDN7AhUUBH6z8jCYMWMGjnb+/PmkijMwESqpAMaRPEsVyWQy9vPVFraEAYj23w+BQcKuc9d5wB7FC7pc9ZkzorsGCQOWHyE5ktAQoz1IV7ibCxjHfO72812zZg0Y1KxZE0X8TBnLVngJhmi7UX1GeL+wzz77jGRrvHgpfKK7BskDr6QEAn5kZRD873//w7EF/riM/AIzopIK0c5KKhxzzDH33XcfCWY88MADuNCI7q7LOs4555yzzjqLBHWi7UaYNZUswEf+IuXKldu5cydVWAOWVIoS8Q7lONK/f3+Mm+j8tg3HA5CcINxNCozj74QA19FjV9F2o6tJ4eb9iy++INmCAH0eINFdg2QD0YCQrMbmzZvF5Vk6jj32WDJyg9ik2FyZHmtgalRSAYwjeZa64rLLLissLCTBB2XLln300UdJcEW03eguJIpPVRIscNtnboh9KMeXLVu2YNwccMABpLLm+eefR2OSDbzxxhv2BkbQHiA5ibibHRgnwhswa4gHEjzx0EMPeQ+MaLvR7bzA3rGJ2z5zQ3TXICV0794do+fnn38mlQGoLV++PAlOgLHjHZFuu+027ZjZh8SSKqHAHKmkAhhH8iz1AExc8e4CRt577z13ftMRbTfWq1dv6dKlJBh4+eWXqVQMuML+gqLRo0dH8/bunNwjAQQQQnIxW7duBaXKVzoy11xzjbErgXYc/fXOScXGDyZ4zUo9e/ZErwqqV6/+1ltvUXWegGH07duXBGVOOOEEaEiCN7y6MWfYTDC7eAUFlStX7t27N/6CCaA6CxwN8kWk1yBVwG4CI+moo45CzbZt2zzHjemPL0aOHKkdIUWL7m6yYOzG/tlnn0V/Pvfcc6QqBl6VO3bsiLVuX5sDpFy5cjAAEhQA4wBug+XSjbnH3ieTJ08W32w53ufV8bcFeSTSa5BCDj74YIyqdevW+QwafLUgQQtoIJCv2mKE7AFnwFjNHh9X0rhxY5Jt0RyfzxMNB7B8+XKSDYiNBck+UXZjXvjll1/uuuuuoCYbmNNCILojSzPaiRbA0sCbgJYtW1566aXYodXNihOMOzeCsYJ9r1693HVbVDRv3jxo4vqnnoEibkltpH79+mQUCGpuzAs0YQ3/T7dv27ZtlB/GFNE1SDlPP/20+BmhTzCOI3vL6bCBuVNJBYWsBLt1d31KQMOgbiMeaRTcmHuOOOKI7JlQUDBjxgzUQNn+Cfj2fPHFF9ADCZEk0oNLLYpBM2XKlNtuu+23334j2YxVq1bBlo2E9OHu9HPKSmeffbbP8zni6SAYnNyYY/BtE9C0aVNSFQNKb7/wePPNN6EtCVElBaEWN2A34bjR1mL1H3r06EEVZoABldKHu7ljVuK/QP6igXZ+ZCHZAFR1796dBDX23Xdfmw6jQ3pP+8jiGDcVKlRwFVuNGzf+448/SEgZ7k5CMOa/oP7yTcuWLWH1ge+++45UFtStWxfMdHdyN+XLL78Ey86dO5McbTi5Rw6IHipZAAbTp08nQYFly5ap/Ag2kTg6U5G33367atWqJPgmqFElgN27d0PyHTp06NFHH33dddf99NNP/r92hoAHDwOQtUmlAO6ZWrdubczyf//9d+3ataG2evXqpIoDHGSRA2KISmZ88MEH9gameGiSDIKauE0/S5YsgVojZ555JlkYuOGGG0477TQSUsmmTZvITdoPO95999158+ZNnjxZ/DgA2LFjB1m7gRp7XfdPP/20SpUq1EUxe+65Zxx/y53Scz7KQDBRyYy99toLDU4++WQowFbC/q6tiH2fCSaoidv3c1xJ8Eee119/PVWbkdoVAWDuKtNXNBN07twZm0ydOpVU6Sa9ERZZ7AO6fPnyGMFA27ZtsXDllVdStQVgQ6WUEcjEhwwZcscdd5CgwCGHHOJ43HSuyFlnneV24mB/9dVXk2DBokWLwAxo2LAhqRhwHf3vClge/gvtD9Bp5L+yBgNE1hj/HA1i/GdLduK+KV26tMrbIwEc1PFnCim5t49MuXLlypQpQ4IbwJ+1atUiwUA2uDVIZorh5B65v2yYWv/VNBjgDR5ljfHP0SDGf7ZkJ+4bV5088sgjKvbPP/+84/utJFFYWHjYYYeR4J4999zTmN87dOiQjeyCgo8//phUjITX5M6Ehn1quOSSS3QGAwYMsG/y5JNP3nrrrSQkCZi1Uyjae0YRV52AsYr977//DrmJhKRzww03eNuzy4BXH3vsMSzjvX2AatWqoYYx4in0gzhhGCvOO++8Bx98kAQzIKblSyExykkww742xsC8nKYWyNzVO8EHsGzdupVkaxYvXuzt4VlxJKgIxH7gXwSVjBWeHJREt/7111/3339/q1atWrZsecEFF8yfP58q8oF94GJkH3fccfgJAEAVFjgaxBWYV07mrt5JdjHUjEePHn377beTkGjAIZs2bSLBH7/++it6eNKkSaRirPEU+kGcMBEBLxsHmjVrNmHChLVr165Zswb2xeLxC34+KPQMHHfbtm0kmHH++efj8Pbff39SWVCrVq1XX32VhIQBcegUiuAiKvmgSpUqKj9fBOBw9ldACsqVK0elpOO4BPA+NRvKas8BduyNEXjyVCL8u3r1agiUihUrkmzBV199BWb77LMPybkiqCBO8skAU3OaXSDTHz9+fP/+/UmwxtWTMZK8LhINGjSw/7YT/AAceeSR8E4Uy1RhAazF2WefTQJji6cIi39cur09y3333efK3j/HHHOM/7ts53jMuQZm5zTBoDyg0g/YqD8LJeFLU4z9NLt27aozALFjx44kWJAS1/nHk5ti7lwIjssuu4wEN0DDVatWkRA+cDhxeYAHoPk111xDQiKBOHQKxaASgWM/+IMyEpzo0KGD/6tHYoG9T6BWZ2DUGHE0YBBPboqzcyEy/Hwbk+PAgsMNHz6cBDdAw3bt2pGQVGAtcpUIdu7caZ+Of/jhB5vn2OmAUSFBfdMYWeydhk4gQQM/nCHBAkcDBvHkptg6t3nz5v6vP8txbGXD3+URwf7RRx8lIcGAW5w849Z1NgTVVZ06de69914oZNe1oODQQw9FffLIZDL2v9RFD5CgMXjwYJ3GiKMBg3hyU2ydG0hYvPXWWzkOL7wCbN999yXZGjDL8djsWbBgAezdcFSC6tWr+3m82T/ATJ0mC4ejUhD47w1293In8O4q65FABxkddu/eXbt2bRLMmD17Nk5/3rx58+fPb9KkCYpUbYGjAYN4clM8nRtgTOQlvGC7lw38goKzzjrrhx9+IG1R0YcffgjpEqtIFQFwPCeeeCLJEpDZ8WHNPXv2JJU3YL5OU4ajUCkI8FkNJHjC2Hzbtm2gBKZNm0aqBOH4TLHvv/8epw+A8V133QUFqrPA0YBBPLkpns61iYlsZJlB1Qa2b9+ufl1E4EydOhUvMwAgS1511VW5/JrXkRYtWsDA1q1bR7I1o0ePBkt4cSLZLbBATqEI/VMpIG699VZvfe7atcumIVQBeQyqkLCZsinijtY2uO0ztXhyUwydW69evQ0bNpBgIHtimUHVZtjXphZwi9vHUECTPffckwRXwBI4rUIYywRvm6BbV9+FdurUyXEk//d//wc2jmbxwu10wL5GjRokWJAwF4WHJzfF0Lkegqx3794kmMERZgR8orJhN9K8eXMv/oQmTq3CWyboGYD9OMkWvPTSS2B28MEHk+wEdgvvxkiOOTAXKinQvXt3R/vffvstwOcdJhtPoR/aCRMeroKsffv2jvaffvqpyq8W0wN47M8//yTBPY0aNdpvv/1IUATWyGmZXK27B6B/oFSpUnPmzBEP/4T3iE888QRWuZ5UUVHNmnhf5/idZUZ+/PHHypUrk2AAn510yy234J1Ngddff53qLAAbKjFOePJUDP3rKibA2CYiEdiyOdqkB9hM9enThwSvgNtXrlxJggqwpk7LmptcsHXrVth1FhYWwuEAyM6DBw+mOk9ATsSu/Lxe5h2cAkCyGRUrVkQbxTt82PfGyHjyVAz9qx4TzzzzjKIxx5kgKFe46weMnexjvUYweOCAAw4gOT6ceuqpOHjYiS9YsAAKVOEP6Mf+hnqMjCenx/CEUQ+vbEiqGav3mWwC9EPLli3lW9U7AMd1OnTc16hbt27ZcIzPLNatW4cDlh+cBKL/m/SOHDkS+pk8eTLJjBOegiaGJwyEBZVsWb9+PViqvBeGd+L16tUjId3Y+/b2228HA8HixYupwgKwoZIjYOlk7KK3qLJjxw7NcwVvvPEGqaIKjhMgWQKU27dvJ8E9a9euxZ4R0jK2eHJTDJ2rGBDqofPyyy/feOONJKSY//73v/fddx8JBmbNmgX+vOOOO1DET6WxbIWi/7OAZYC9RRuYCBDZx2qLG/ba/GoBatesWUOCG+bPnw9tsYwRBbzyyiuoYazwFPoxPGFEcNgDZjfccAMJtih2mHjs/QC1OgMQ7a8LPOOMM1TfekPPTqugO3qsEQ/eEpflRIG//voLR2V8gLURMDviiCNIUKN+/frQioRitANmIZkxw5N3YuXTt99+G4KgdevWH3zwAakscBUuYPnVV1+RkGLsPQa1pUuXJkEj62InJzds2JBK9kA/Tl05Hit2oAPPPfdckvMKDgYgWYHDDz8c7D/99FOSrXnttdfA8uSTTya5JJ999pl25ILEPmjMN55CPyYnjLgtEQAi/msDGNjf50gwffp0rdcspEor9h4wuqhUqVL2TQCwoZI90I9TV47HiiMNGjTQ/Oplau+///4JJ5yw55571qlTp3v37iBShUv69OmDY3j22WdJ5Qa8lr+wsPC7774jVTH47DOgadOmpLIGLQGSGQlPTom8K/E+HgiptDiwfxKm+jXF2K34kqdx48aoTyHoCivQPyRoGDVGHA0IMAuqq7jxyy+/aI4sWLZsGalswd/lAaeffvqXX365UQMKIKK+c+fOZOoENMQm/h8Du2rVqv333x97E7Rp0wYOQRYKfPHFF9jw4YcfJhWj4Sn0I3zC7Ny5E1cagDJpiwEllXwwcODAFi1akFBUdMEFF+Dh7J8VmVQcXYrOEZQuXRr+pToLHA0IMAuqq3iSdWhBgf2nWHgf3SlTppBsAX56KQe2KdoBs5AcGWhYiV5ut3jyRVQ9SMtbUGB1j7A777wTaknwhNW9/bTDZiE5NbidsoqX6tSpQyV7oB+nrtwOL3b07NnTxqWg//e//02CAhdeeKFVVyeeeKJ2nIIXXniBVBFj3rx5OEI/D6dMEp5CP3onDC4q8Mknn5DKgmrVqvl5/hwcgkoGMpkMjkHlsoHEYOMQU8D+nHPOIcGMO+644+677ybBHji009HdDi+OiMB76qmnSFX8YyISXAINt27dSoJ2qxyte+d7ckQB/FIHIDnFeHJBlBwnnlOh/sVOmTJloBUJyuBvSUiw5sYbb8TxvPjii6RKNH369FG/IfuYMWMcfeho8A9gGWBvMQc/7xLz9TlxaI4XXGpdZkF9LMB7MgPevuxFfv75Z+xEx8SJE8ki8nhaM88rvWlT0auvFnXvXgR75yFDipYsIb0nxDUD559/PqmUgSbQ0PF+rQLY74M9CQqUK1dOG1qcTgnP2EwT3suvWLECy23btgXLvn37omiFC6eBpZNxSpYAef7552G+CKl8QB0VFOATX2MHjd69K+ANCrRq2bIlySU577zzsNtI/drAFE9B4NZfcHpDE3BHzZqZ//yn6I8/sn/vvZfN8qh3+YzgM888E/3boUMHUnkCO7H/1Rze3AO2nCS7AfsHSE4czz33nP0Er7vuOjRAZs2aRRUW9O7d+9prryXBES14qGwBHJRKqQGmPGPGDBJ8gItLQjwRz/AbPXo0qWzp1asXGCteOI89kxBJPA3O1ZTA2NF+5kywySj8dGXEiBHoU8dnM6qDHQIHHHDAueeeO3DgQLzNNPL222+TnSfE43XGjh1LqkQwZ84cnBcAIv7rH3f9KIRWUAOLEQFOORneg1kgJFsABoo/cxHgD6lIiB6eRqY4H9yYK5N5/HEb+3feeUdboOyDEUgVNOvXr1+0aNEPP/zg7q7iCiTpSx7xQGeAVNqJ4XixnSPgJXedwACcXCoPMg3AfHfs2EGCBeIzQ8erkrZu3QpmJMQZ8QH6XXfdRaqSQNVrr71GgkugLZUihqdhqUwGduLeLhqBzv/+m8oa4vcaAKniCc0htrMQtycESCVhqlRn5MiRZcqUIUEROKLTQX2OKnbYzxefAQJ+njt37n333Qdle3vA0SBG6L5zFoDG8y91EWOfUcDTmBxnUqtWpnlzKnuguH/cOCCoiTvijPL2IX4ewWEDNl9RQC2VXPLwww97aQtNnFp5HlIc+e6779q0aUOCGdn1K+kQEN966y0SzNhrr73+LrnZijWLFy9GJzz44IOoad68+eGHH45lzyheSpdjPA3Ifhrvvut4yjmDK6AhX3KbDGhiMck7NFa1G6WB2ZdffkmCGvvuuy+0IsEV0Mqpocee40mTJk2WLl1KghnZVSzpEBA/+ugjEsyA981xfBSUPfIWHv/1T+PGjR2vBMsxniZm744gnJWZNGl7+fLe7v4cFzC8/N+gA392ixRqlC1bFsXy5cv7eUJCpUqVsJ9nnnmGVApgExJs2bx5M1gef/zxJLsFjuJ0IMWRJAPHyeIdZpYUX4KMcYJlGxLpw99//x3mBUAQkso3UXOUp9FYzyFTo0bG6fnlqiQxpHQ89dRTGGG33norqdxQtWpVaHvxxReTbEaVKlXAZuHChSSrsccee2jjKrjoootI5Qbxpevs2bNJVRJ8PJPubsCugQhxChI4CpVSgMpks6uiPfQDC6S1RdEsjphO7dtvv9V8Y1KFegFpiznjjDMidVGcp2WzWWzHOAAD/LP9DXqWtWuLatSgcqLBH00YY8UG/MW5+q9L1PsX9ypRv02gDeKGJDrEs5l8gYFkCxyLSilAcbIiszdo0IBUtih2GzvOO+8846YKPYOQqhhULliwAMqffPIJilglMGryiKehWE3gvfcyxxxDZQOZyZOzDeHv3HOpYNWPwNEgQWCsACRbM378eBUzHVOmTLFvNXjwYO34BdWqVSNVxIHpOPnBfsoJw3GyS5YsARu8T/qKFSuyi63gHxWbOGKcF2jKly+PBdPan3/+mYSioh49epjaUCkCeBqK1QTs32Xv3k0FjeyFko6OiJKncsD777+fjamCgoEDB5LKwIsvvug5gPB+yCRIvPvuu9phCypUqECqWABzcXKF6XyTStWqVe2fWADeaNKkCQka2rLbuWj79u2xuF+YB2wmbnTLMcccY7QHje7raKNNHvE0FKsJuJrY5s3O9q+8UqT2RNMk0ahRo2xkFRQYH1mAn8aQ4IlVq1bJPegeVhUzYMxOw47lvLzy8ssvn3XWWSQYMP1Fkrbydi5q2bLlokWLSEgWNhM3usWoAUDTvXt3EjTOO+88lScI5ga7dbXEyim2UaLniSec7bdty9SsSeWUgcEEkKyhE72x3377XXbZZbAjw/4BqogdMHKnwcd4dp6wny/U6h6+Chr7n3wn2IE2U4MqXa1RA4BGd3/vkSNH/u9//yMh33haOSunuIoDMFaxd9Vnspg1axaGVM+ePUHs379/r169sMon2C2wadMmUsURhRCCOVIpHdjPV1vzLLDBP+qoo7BMdRY4GsQXm6lpjilRa9QAoKlYsSIJGiNGjJg8eTIJ+cbTylk5RT0OLr9c1Vi9z4RSr149DCyAVBZMmjSpdOnSsBFzfDT+U0895eeJJVEBHOLkE0enJYw1a9bYT3nJkiUVKlTQosn5miWwSdLPU3XA7KhkQHNPiVqjBgCN7lca7du3nzt3Lgn5xlPoWznFNqr+4a+/spYvvUSiDevXZxo1onK6gTDae++9STBDi72CQw899JBDDsEyVVjgaBADYAppmKZLYMrbtm0jwQf4ACYSkojN7KBKV2vUAKCZNm0aCRpGmzziaShWE1CZ2O7dYJbp1o1Ee558siieDwoInMLCQiqZccstt+iiCsQuXbqQYEakotAjMAWnWSRhmu4JZNaJd53NBKFKV4v37iZB4+mnn9ZpAKMmj3gaitUEtEtEHYC2Bx5IZUei5Kn8Yh80HTt21BmAaH8PqTvvvPPRRx8lIabAlJ0iJFInW8749NNPfU4cms+cOZOEhDJjxgyrcwSmb3SgTqkTAaun5+cLT0OxmsDvvzskbmjo6uqXKHkqvzgGDRhcddVVWH777bcd7desWdOsWTMSYgrMUcEtVEoZl156qee5Q8ORI0eSkGh0LgLRCNUVn1YyVFEMaP78808SIoCn5bcJGpuqihWztcY/K+bOLbL9lDlVGCNJx+WXX67FW/YZVfCvyvNGwIxKMcU+fjRiP0cfTJ06Fabv6s5xa9euhSaJ37MLmjZtqvgEPgHs95966ikSShK1YPM0Gus5ZFq3zgRy2xAgxaelEZW46du3L5ghpLJF0Sy6wPidphD7OfpGCwfVeFC0TBJBTRn6WbduHQnRwNPE7N0RiLMuvTSz775UZhRCMHteajb4K1bA/unssKGrEff7ssF8FdxCpRSD10cCbdq0MUbFwQcfjLXGX0SngXnz5sHcSfDKwIEDI3iTBk+zsvfFypWOp5wzfE6WxD7+tHOzhIFRo+P111//73//S0JMgQk6xYm9E9LG4sWLy5cvj7GBQEpatmwZVaeV9u3b4/3CvDFjxgzwJAlRwtOYHGdy1lnONjbwCWnA8TfidevWJUHjtNNOsw+4aIajO2AKTrNIwjSZ8GnYsKG3ULnrrrsiG2OehqUwmczhh6uYmcBnoxkvv/zySSedRIIBCC9dhBk1Ouxr4wFMwWkWSZgmkxPwkoTdJW9ea0/2HItwgHkameJ83ngja7lhA4lOZJo0Ue05ldiE0Z9//olxVkkDyzZhumXLlurVq5MQX8AhTgEDfqASwyiA5w4J1rRo0QLMpk6dSnIk8RT6rk4YPAMXLybRlP79wSZjfRNzBigsLJw+fToJZvznP/9p1qxZmzZtJkyYQCoLVMI3BmBo2ZKQmTI5RNwwtXLlyuPHjydt9llE73Xq1AmrHnjgAdJGmPCTOwL7RDwVW7UquuqqzMiRRWefTRpI63H/qWSugKiikg9eeeWVQPrJPxg/tiRkpkw+WL169S233CLu3NezZ88vv/yS6uKAp9D3c8KsWlU0a1bRlClFv/xCGkaZSZMm+c9W/nuICjARp7kkZ7IM4xJPoc8nTP6oXbu27klprkhUsuPkzjDWcHKPH2XLltU9/0URyHRbt24lIQFwcmcYazi5x5LevXu7SlvDhg1LYJqDGTlNipM7k1o8hT6fMNEAMlfp0qVJsOCNN94As7322ovkJMHJnWGs4eQeeyB/IQMHDpw7d+7PP/88adKk2rVro7JDhw5klzw4uTOMNZzck8N777136aWXnn/++WPHjt28eTNpEwwnd4axhpM7E1s4uTOMNZzcmdjCyZ1hrOHkzsQWTu4MY43X5M5//BeRP1s4uTOphUOfSTKc3JnUwqHPJBlO7kxq4dBnkgwndya1cOgzSYaTO5NaOPSZJMPJnUktHPpMkuHkzqQWDn0myXByZ1ILhz6TZDi5M6mFQ59JMpzcmdTCoc8kGU7uTGrh0GeSDCd3JrVw6DNJhpM7k1o49Jkkw8mdSS0c+kyS4eTOpBYOfYZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnEkuBBgkMkzI49JnEwsmdSTMc+kxi4eTOpBkOfSaxcHJn0gyHPpNYOLkzaYZDn0ksnNyZNOMl9DtpkBAy0Tw5b7755mnTppEQJrk5SlLxkNwhsAcNGkRCyEQztkeMGJGDqGvXrh2cRCQw4eAuvLp164YnDHLvvfdSRWjAUaikAI7KCFUrsHjxYnt77FCGKoJm69atofafBlw5EI0FpA0TV0fBURmhagWaN29ub48dCurVq0cVgUK9F0NaJgTcOTf3i+HtiNBqn332IcEN/fr1szkiVOlqbYz9IA4UUv8pQbhRhdy72tsRPY8z6wvrtsZaG+OgMB6UCRB3nrVZCVwngGQNFM855xy5CssTJkxAEdBVYRnRifBuzmhjBAx0yR1bASQXg0oYoSgL0EDGVIlMmTIFWwGk0oC3+Ual2JU7fgKga8i4Ap1MghM2ltgPQLIGiqgXn1KiiGUExXXr1llVCdAAINkCowG2AkguBpUQmaIsQAPBiBEjjEoB7ngA2PuTSgOVAMka48aNQ+WKFStIZQ1aksAEjTvPWi0GKCF8oVCjRg3ZQDPPIpchrWMEoA0AZXgPiJqsRckqKpWsgsL8+fOxbARq5eSutcs2xHMMlYAoY+Hmm29u06YNlKFg/EAQ9GhmRK6yKYuCadkU+1rGHkf3ylgZC6XOAEWIWwwq3HYsXrwYQ4iMis0AUUY9oCujqAtRI7paEOHQUNAlaFHGAsQzFIBcxnZhYSGWrZDtmcBx7VlcD4BkA3IVlHFTDMArua5KiHIZkEWdnkqG3nRAlUjueNZhGYAyirjXRqXA5mMZrZ3lEWWEGRTwNU9G14l9n4pHZEwB77lyINoDJBuQq3RlK1EuA7IoClYhaoqNpRBFQcZUidhUycB2SpiZ2uuUjn2qHJTxjEfnwqoAptfMyAsmlwFdlRChAFkVy4C8/ZcLwDQJUWUEqkRy19qZN8QqLCPBJnf8Cuu0005DEQENjUPDvk/FIzKmgPc8OBBbbd26lWQJuTe5rPsePtu+WJT1gGkVKikgNESVEbkKyhMnTqQ2WitRK5cRo0ZgU6VDmGGTmTNnoggMGzYMNDQUDRCpzgyoDek7WwZRWlFTsmtbcqUFqATkMqCrEiIU5OQuv8GUCwC+qRRglRGw1CV3aqAhX+SDtQCKnpM71gpIq4Gabt26CZHGUQzqTQFjKjHu0RzvxYFyQywLUAnI5UCSO0WDhs11aKIVAGVIqdRGA0ZCdcXdArKIZR02VZijZahCAzX49hTOOCjTOIpBMyPYkAQmHHz5F5dHlxCtyoCuSohQkJO7rgoLhYWFouwIWOqSO5atAAMIYijYJHfAqgr08IJEgoWZUNr0b8SVMaMDvOfNgYMGDcKGuh6syoEkdyw7IltC2XHzK+yzx7A4Cmz/rap0eqOZ+HgTLxNApT1gpmjJ+MGdi+WrO8QK4cXvqASsyoCuSohyGYCy+Kpdp6eSE2Apkjtg2nDUqFFU0gzwbbjjR/m6WhThX/xSC8uo1CGUUBC7eEdMu2IUya6EmgMnT54sX90hGooCYPVtPGCf3EUZUCnbI1tCDJs21MW2KJgaI7paMVlZqZmY9CCUUDD9OEtG68OkEyZw3HkZF0ZAWls9lTR0VUKEAm6ZBagH5DKcgVgroAoDUCUnd/wQX4CbHRKKQUuAZIvOqa4YVIpLGwH5pQ41iO7STxnSSlCFhPx2m1EEXUeCE2gsIK2tnkoKO3fUIKgH5LJpiJoCtVTSQHuBjRIguWQPAqorBpXy7xbllzfUIKhBSFUMaSWoQoIqmKCJhGdhgeWPZRgmEKKQO/I+ACa1cHJnEouW2zm5MymFkzuTWLTczsmdSSkceUxiiUJyZ5h8waHPJBZO7kya4dBnEgsndybNcOgziYWTO5NmOPSZxBJScp84cSKVYkjgDpF//MVECtcrbQwOncYxesI434JCvhWazTjxDvVYtp+OTS3ei8O+OeMHb+51vNGF/Hu02CFPzf7XpMLS/gd0jj+vg37w3h5Mjgkg9O1FI44GecT0PpdGwEzcq9p+Oo6TnTx5MpWYoAHnO/rfCDQx/YEo6HHRRXLHW/WK2wplD1bycCjq9CgCoox6ASrFzaJR1JXFPblQhH91Px+Ff/GpCeLGjVBGUATktyCgN30WBxRE+oauQCMiH7wEoqhFEcsC1HByzwv6xbBHPLEIRQRE1Oj+nTJlinyHCijjPVV0ZvCvLlHK/9aoUSNbUQwq4ezCJkZ7+V9ZlJ+1BG0h2sQTauR/jTt3+BeQ72QNoBlq8F/oEG8vgyLeqw/35kIJeRwPKqP4csJ4ANyOnncFZitdQxRxsTC5i48jYK3hX+OLtGkP+C/e+0UX9ojpuYDIZWNyF9twYTZ79mwhCqUoAOJVSmeDoAjeEOkbZwpgzyiimenNoAB8aeHknhdKrIQjupVDhBIL8r9GEYCyLCLyW12sFTaysU5pWgVYmVkVhGia3GURQTO8Ubupmb0oY9QwQQG+detesIdMBNg0xFiVDUCjs4eEKKdOBMvyv4KsnYZcBqyqjMkdRQEYgBIBEf+VC4B80gFyFSAaYnKXf2YISrHrx1rQCFAPiDIn97xQYjkdwcVDSCUtIRbkf40iAGXYxWN0Cj3G2b333qtrqENXK9uYlnVmxgIiRFfJHQAl6kWtvajDSs8EArjXrYeFve7xtvimE9+cYayKZIcbWN0jWQDsStygEUV5PKZjE0p7e9w7A0Yzge4+l7oCoJLcAXFzefG+Ez8ywpSNbzXEi40pnNzzgklMWCGvva4MyJ/A4L/w2g4hKESIDHE7RuO/GGdQAOSPXAD5aS+oPOecc/DcAxEiGJW6srhTo2glF+CElD9FEf+6Te7iiHBuyx3CTOGUEI+Ugn/l98gIlOGUAPDkkauYQACXuvWq/B2jrq3oTeRE1IgPK1DEMoIi6gGhgRcG/LwR9QCUBajBBCpEqzKAZVTKiDtNoohlAEVAMbnLBUQWsQygCJAsgcndtIoJjwi5W9ykVxdzDOMNq1yTR8R4TL+zZZgAiVzoIyQzjA84lpg0w6HPJBZO7kya4dBnEgsndybNcOgziYWTO5NmXIQ+XtqB6H7UkwPEierzuPL1MIp4aKJCgN3iTyVJ0ND9styn02JKNmLcTBwvbxeAJvClx25NEVU2Ngj+Is8Kx+ZGPDSxBzpESFZAd+2pEcg5VNKQ++9X/ARmFBnEexyouNLKxvMy+F+/iCR3mIirudgb62pBlK840l1amh5gyh5mLTcxLr3xkm3xA05ArpX1xp+PIrK9qBJrJ/cACGO5E+N4jFPW2ag0QXQDAHRthYGxT8TYs7jEU4fpGKy61V1YbCwwgGtfyH4UyBosI0IDm31RlvVYAFAvQxWSmbEAZE0NerzdB5bxvMIyIJ+upCrZCaATsQkJWi2+ccEyIh4Sj6Iow0hEWYdOiWaAELEAoB4guaTG9BAiQehuGJIqjG5RQW6CZaGRb1khwAQH6QbTlqhFvfgFkPElFn/fJH79JKpw7YSINzZAUf5XJ+qUCHRlY2Mv6t78CYQxFuR712BBoNMIEQtWIqKrNcVoY2OcQlz7wsqhpv51NEaMv+4T6CxNG+qUiFBiQYi65C4X7JuY/t7PiGlXcgHQ2SAiC5jWWommxoBI7nKVUKYEmLvRM47ITUy3AgCpNDCJC6XYzIqCvLMRZgj0LzSiIJK7QMQGAhr4F5I+1gJCKRcAXRjobIyiAEUxBYFcK2sQ1Ajg5UFWijIWrEREV2uK0cbGOIW49oWVQ03d6mgMBXjnZfp0bJ0lgiKcLSgiOhtEpxS/GbFJ7vgTcyGaNhHgfpkE7WXG+PtbuSDAX+0KSCuBSl2VTtQN1diPOKvFT8NSCLjF6BlH5Cby0uvuYSfAz4JFK7FT0emxIHculwEhiuSOIiBvLABdQ0Qo5Vq3yR1FGfn34fLLmK6tFXKtromViOhqTTHa2BinENe+sHKoqVsdjXWijPg4BUVEiPKZZtrctCH8a5PchYgJUddE1ApkjSiLVrJoiq4KRfwwUYhW/QhRHqqMOKsBXVfpAabsYdZyE93rOnYIkKwhNFgAZL34rg9AJdYCqASEiAVcO7ylKCByPSLKOqVRBHTJHQuAOH1QBKAMuZsEqXPNikANgGVUAqgESDbTAFOmTEElfrqFt+5AQMQbFGuGBFaZvqbizYcREKlU3FwUUk6QXoDEZPwCROyydVVCL6chV8j7d3l/IR9I7ly33zdF3OYJ0TWRRWNvVv3DeETKtkfXg24w8hwBXa09VmNLNvIJzzBpg0OfSSyc3Jk0w6HPJBZO7kya4dBnEgsndybNcOgziYWTO5NmOPSZxMLJnUkzHPpMYuHkzqQZDn0msXByZ9IMhz6TWDi5M2mGQ59JLJzcmTTDoc8kFk7uTJrh0GcSCyd3Js2kIvQzmUyPHj3wVBcUFha+9tprZMEkEVxoEhgmZSQ89F966SU8w/FGdDr69u2Ltdu2bSMVkyBwcUlgmJSR5NCHE7tNmzYk2MJZIJHwsjJpJpmhP2TIELdn9S+//MKJIGFouZ3XlEkpCQz9du3aeT6loeHu3btJYGKOltvdRAIY819Qf0y+SdoajB8/3t35bMBncyY6aLndfXJnfMJujAZJWwP/qXnnzp3+O2GigJbb3SwlZ6VAYDdGg0StQVBJuVWrVjfeeCMJTGzh5K7jpptuQp8I/vvf/1JdgCTdjXEhOWuQyWRKlSpFgm8g7qnExBbMXySokNCs1Lt3b3TFnXfeSapiRo4ciVUXXHABqfyTUDfGjuSsAQQolcyYM2cOBrGAKixo3br1999/TwITT1QWugSJy0q33HILeGDYsGEkW3PFFVeA5QMPPECyHxLnxpiSnDWwP42hVmxb9ttvPxAfeeQRFK2w75CJPrCC7hYxWVnJ9fQ9NTEhWW6MLwlZgy1btrj6TAYiuHz58iRYEECUM3lFy1RuFjFBWQkm7u3uGvfff787pxlJkBtjTULWYODAgZ9//jkJCkD4NmjQgAQL/IY4k29gBd0tYlKyEsz622+/JcE9r776qju/6UiKG+NOQtagUaNGsHknwYl9991XJXYrVKhAJSaeZFO7qyyTiKwEb2EHDBhAglc6depUrVo1EtySCDcmgISsgco5jKc6UKtWLVLZAq8BO3bsIIGJIbjcJKgQ/6y0fft2d1O2xns/8XdjMkjIGjRs2BDCmgQLVqxYMW/evIEDB2qnfMGCBQuowgLeuccdXGgSVIh/VnI3X1symYzH3uLvxmSQkDXo3bv3/PnzSVCgTJkyjoEb4HnC5AVYQXeLGPOstHPnTvvLCtAhMlRhgaOBOTF3Y2JIyBpAZle8uy+ya9eusCI7IF555ZXsyWdGhw4dyIixBd1Fggoxz0ply5aF/E6CGeCNSpUqHSpBFRb8+uuv9erVI0GdmLsxMSRnDVydxpdccomjPRiceOKJJOSQgw8+GA7dqVMnkg18/fXXYACQzFjg2ktgHGevOk4WDNq2bUuCGu4ciMTcjYkhOWtgH4VQe99992H58ccfBxG2OSiaAtn/uuuuAzNBDp7Jt23bNjiQ+m1twLhq1aokMAa0dXMT4THPSo6TBQNO7ukhOWswd+7cmjVrkmDgsMMOy57oxYBIFRaADZW0y8KwlcDxy1gP3H777dAzCcqcfPLJHlqlBG2t3DgHjOPsTMdLAMAbnNzTQ6LWwEsgmnHbbbfVr1+fBImlS5dWqVIlmzCK6dq1K9X5Y8SIEdAbCS756quvPLdNNtoSufEMGMfZk45v49AhAvFe1gYwo5I6MXdjYkjUGmzYsMFLLBpQ6eTDDz/Mnh8S119/PdW5ZMWKFdCcBE+89tprPntIJNqyuHELGMfZjbDzoJIFmzZtwsKvv/6KzrnoootQY4U7ByIxd2NiSNoaHHDAAc2bNyfBEx6i+cwzz9TOFKJ06dKuPreBJlTyQcWKFR977DESGA1cDhJUiHlWsv8ayYiKf9w5EIm5GxND0tbgoYcegnDs3r07yS6BtpMnTybBEy1atMieMcXss88+YrtkCpyQL774Ign+gMNRidHAJSBBhZhnJbcBoOIft31mibkbE0Oi1qBmzZoQi5UqVdKC1vXUoMn06dNJ8M3HH3+MwxCYPg8B9FQy4/77779XAkSqMOOGG27o0qULCYzmW3v36ol5VnI3WTX/uO0zS8zdmBiSswYYqf/3f/+H4mOPPQbinDlzULSnWbNmYExCCNx9993a6P7hrbfeAv3gwYP/85//oI0pZC1BFRY4GqQKFY+VAIzj7EDY3CxevJgEA7q3pHPnzgXnHHPMMSSbARuU9u3bk6BOzN2YGBKyBlancZ06dUB/8sknk1yStWvXYsPbbruNVOGj+9yGtBaAwe7du0lQwLHDVKE52I1DwDjODuzYsaPNfPfYYw90iAzVWeBoYE7M3ZgYYr8GeCGgfRQ++uijaKOjYcOGZJEPlixZAmMgwQIwcJXcR48ePXbsWBJSj7bIbiI8tlnp+uuvx8kCpLIA9jFHHnnkTTfdRLI1+JM6ElwRWzcmjHivQbt27VQCOrI4jhwMXCX39evXN23alITUo4WGm9iIYVb65JNPcJoAiN5v5WjAez8xdGMiifEaaPGcn9u/BIXj+QMGZcuW1SZacMMNN5DWFrCkUupBv5GgQqyyErzq4wQBUml06dKlbt26JHilevXqPXv2JMEtsXJjgonrGmBML1++nOR44vjc12bNmg0ePLh9+/Y4X4AqrFGxSQmKHvuH+GQlnBpg+gAy0P/73/8mwT1du3aFHkjwQG7dePPNN2ueyFK5cuVq1apVqFCB5IKCmTNnkl1e+eOPP2hABQUwPBhk1apVSS4oOOuss8guUOKXCNatW4ceITnOuJoFvuO2/0kh2BQWFpKQerQwcRMnuc1K3sBJAfZpCwyOPvpoEtzQsmVLaEuCN3LlRs0NBeeeey7JZhx00EFgE9RtQjwwZswYGMDee+9NshkjR47UphKw06IeyjqGDh0ahhfyhduJOM597ty5Z599Ngmpx9FdesA4wqElfsAxbNgwUtnSsGFDd9PXPAZvFknwTPhuxIsRVO6Ng3To0MGtKwIBDrrXXnuR4MSsWbPA3uePKGWiG8pG8NPnBg0akBx/3AYc2Jve0UxQunRp2LyTkHrAXe48HH5W8sYZZ5yBc+nYsSOp1Ni0aRM2JNkaNAsmeEJ2Y9++fVVmZARaKf7wxT+eH2YLrfbbbz8S/BHFUDYF5gy8+uqrJCcCxzs9yYwaNQo8sHHjRpLNAAMqMcUxQ4IKYBwxB9511104C4BU7vniiy+wh3322Wf8+PGkLSqCcqNGjbAK3vOR1j9hurFnz54wWhLcA22/++47EsLEzyD32GMPm7uXqxOtULYiG32hhUt+KVOmDJUM4KwbN2586KGHYrlOnTpUZ4HbW0clG3QaCSqAscswy4wdS62Mf+XKkZEn8JMHhFS+gT6HDx+OfRYWFt54443Lli2jugDB6YfA7Nmz/XvDfw+O+D9EqVKlrrvuOhK8Evo8fYI3s83BeuQL+6ndc889OP0DDjiAVNbYd5VC0HUkqADGyvaZevXAePexx5JsZOtWeLEFm8zHH5NGjZ07d+LIAftnonpj5cqV0DMJYeDGja4IatihTh86t79XoCL+BxnmGvumXr16MMPy5cuTnETwU1ESfLBo0aJQQzaOgEPc+QSMVezh1IWUfdVVJDoCW3jlYeCYgfXr15MqaGKa3GHMH7t8mbSiVatWgwYNIiFQ5s6da/Ne3BU7duzwuUxhrrE/sgFeUHD11VeTnFyqV68+ePBgErziMw4SCYYQCSooZKXMmDGONib8/LNjKxwt8Oyzz5IqHOKb3Klkwfbt2++8887Ro0eTbEtIHlDs9quvvlJ55IPPQYYyQ//ArAD7Lw+TBEzWz3NZoXl4G734ogWRmwgHY1v7zMiR9gYOWLTFm5ICffv2JVWYxDG5d+nS5amnniLBDHSgDFVYUL9+/Xnz5pEQHKVLl6aSNTi8cgpfyaxZs8bVNRc6wlxjTyxfvhwnT3IKeOedd3DKkyZNIpUboGHOLvCKF+hVElSwz0rr1tnVKlKyh0suuQQHue+++5IqfOKY3O0HDHv21q1bk1BUVFhYCPa7du0i2YLAnVCvXr3NmzeTYEbbtm3hoG3atIF/VZI74GeQIa5xJpOZPXt2//79YUqXXXbZ/PnzqcIafJa/n/nEDghKmG/FihWh7Hbu+DwQEhgDbv0JDbJ/VgTh6syzz2a/ZS0qevHFF3F4AFbljOQldyNg/+STT5JgQeBOcOxQGEAhrskdBoQMGjTom2++WbFixYcffnjBBReQ1mK4WHXUUUeRnAJwyr179ya5+Lnbjk5YvHgxmCX7q2b/aN51E+FgbGVfqVJRUPdS1g7hemzBEbvkDttElY87ZGCCv/32GwkWBO4E9Q7BUjG5H3LIIT/88AMJLgl+eo4zNP3VHGqC/CVF5MEpf//99yRLPP3001jbvn37KVOmoBJeI/v164d6xchIOegrElQAYyt7V/04EtRvQT0Ru+S+aNEiVz/NvfLKK1UmCDaVA0Xdq2CpeAo/8cQTt99+OwkuCWwNIAfBiNW/AsWnIC1YsACiHAoAVaQDxSmvWrVqwIABsEMHIL5nzJhBFYwCik7+BzA2tb/22iLFq7awB8eDOhqESeySO7z7P/XUU0lQQHHd0SxYqGsnwFIxuU+bNs3+XoE2BLMG3bt3V5+YjOaQLCSngKVLl6ZtyvnCtZ/B2NResZOKFakHR/vbbisaNYrKOSd2yf2333477LDDSHBCfdEDd4J6h2CpmNwffvhh9fuj6Qhgeng/ZRLcA23tL3JKEoMHD4b5+nEXo45rV4Oxqb1iJ2hm1YkOxT5DIMFfqOLPHklwInAnuDq0YnKvUaPGunXrSHBJANPz76PAvRxNatWqBTPN5UVvKQe87S60wNjUXqUTsKlRgwqK9nkiqcn9gAMOALMdO3aQ7ETgTlDvECwVk7ufQfqdXlAOCtzRUQMmCDzxxBMkM+GDPidBBTA22q9cWdSiBZWtmDPnn4amnRhRsQmHRCZ3vKR4w4YNJDvh+Za8NnTs2FFc/mAPHDrqyX3SpEnenvZipFq1arNmzSIhccAK+Vkkxhuu3Q7GRvsFC4qOOYbKVkCrm276p6xyUBWbcIhjcr/33nv79+9PgoFbb70VZnTVVVdBQYaqzShVqpT9D468Ye/YuXPnvq8BZmXLlsUy1ZkBKVH+cZZbfK2BSoj88ssvYHbhhReSbI1Kb3EE5pXUqUUc154HY6M97NxbtaKyGZlmzUq0Mu3EiIpNOMQxuQM2Y9577721pdZD1WbY13rG8aBGqM4M+1pHvDfetWuX47G1wWcZMGAAqawBMyolhVdffRWnTzKTW1w7H4xN7e070dVadaJDxSYcYprcDz300D59+pDgD5j+9OnTSQiULVu2BOVb2NS7/emWDu/jOP744z///HMSzIBJ4l1voKCS3CdMmGD/Tipe4IOG+UekeQT8D5CgglVWsulk4UJqZfxbvJhsTAGDPBHT5A4EMuyFCxeGOn3o/JZbbiHBB/4H6b29+rHBUiW5A6E6PZfARICgNhqMN3AVSFABjE3tA+lEYvf99xepPeQ6DOKb3AH/Iw937hpwCJ8f6EMPf//9Nwle8T5PdR+BZaqSO8wC+PHHH0lm8gQuBAkqgLGpfe/emXvuobIjVp3IuBpV0MQ6uePTB0lwT7gTl4ADbd++nQSXQNv74eXfN7lwE1imJ7nDFBIwC//MmzfvoIMOqlGjRunSpWvVqtWyZctffvmF6nKF67UAYyt79X5sOhGo9xYCsU7uwOrVq2H8bm/OM3Xq1HBnbQAO5+FZQ9Bq8uTJJPjD+2zVPQWW0U/uBx54IBzdyF577UUWTuBneQDJqWTOnDnohLZt28o7l507d7Zq1Qqrfv75Z9KGDB6OBBXA2Mq+TJnMG29Q2SdwiG3bqJwP4p7cEZiC+gPttEDIw4lZqVIlOO42teXGHzmSEATe+1IfB1hGNrlv3boVDgqY3p0RECl77dq1pDLjsssuQzOS08fGjRth+iqvhfgbccdnKfhHWxA3KwLGNvaBLO6sWcH044NkJHcA748NWH0EOm3aNDTYvXs3qfIBjsHqJiv4QRNw2223kSogvK+Bq5dNleQOedbPM6U8gD4lwQkb44oVK0JV06ZNSU4f+IgZEtQA+y5dupAQDtkFczUqMLaxh5d/l3M0wX8PvklMchcccsghuNY6Tj75ZLKIAPIDLWSaNGlCFkHjfQ2eeOKJK664ggRbYAIqyb1r164hXXxqCozqkUceIUGN1157DVqRUEx2fQoKnn/+eZLTR9myZeEdJQluqFChAj6CKiRwaUhQwSkrZSBZ+ElbftoGR/KSO2OKrzVQDBEwU0nu4QZcSeBYnp+WII8TysDOnTtJTh/lypVrZfsDTnvq16/fqFEjEoIGV4cEFcDY0b5rV2cbU7y1CgFO7inB1xrYh4h2ZumhOjPsawMEDuTnKlRI5dDD7t27s/NJdxB/8MEH/j0APfz0008kBIq2Pm6GB8YK9pl588AsM3UqyY7Uq6fSbc7g5J4SfK0BfhtJgj/CjTYJ2Cf26tWLBK9cfvnlVatWzdmYI0vEVx+6ddczGKvbV6iQNba//r1mTbDJ/Oc/JEYDTu4pwe8aQJQsWrSIBK+88cYbPu+ioE5QYR3u6REHDjnkkOeee44Ef1x55ZXnnXceCcEBa+Rumdxnpd1dulAr7S/TqJEsFs2eTXZRgpN7SghgDfwHSrihJgEvIb///jsJtqjc8l/9eqFEYrpqGzZsAD28rSFZAvQCeM9H2mJASaXgwGORoAIY+xyG8v3E8wgn95QQzBr4iZVw46wkiscCM4RkCxwNEsycOXPq169PQjHoNKB69eqkKgb10Epc1UsVxdSsWVP9SQuKmB7IDjBOwZpyck8Jga2Bh3DJZDLhBllJ1q9fb8xHRqZMmZJNCRqksuDggw8O6ZvA6FOuXLktW7aQoCE8Bv/qkvudd96JVQLNtoQG9vKm+30/GI/iABi7so8nnNxTQpBrABGj/iuk8uXLhxthBho1aqRyKx8YFd6GwnF4O3bs8HZ9dwKwcQ5U6ZK75ssS9mXKlNFpAKPGJ9ph3fQJxkGPIYKsXbs2cFeXIB1ujD4Br8GYMWMgbuxTvHbGFUyaNInkXAEHpZI1tWvXRjNtjM72KjaJxGbiUGVM7rovzO+44w5jD4E7Ezp01ycYBz2GiPD222+jNwB4ZS1btiysCMkFBR999BHZBUJy3RgvQlmDn3/+maJGA051Kmn8+eefZJdb4NBUskbYaCN1YZ82bCYOVcbkfuyxx5KgsXTpUmMPgTsTOnTXJxgHPYa807x5c3BCy5YtSTZjv/32A5sOHTqQ7JMkujGO5GINIvIDTsfzHAzEI8mh7GgPqNgkEpuJQ5UxuZ9yyikkaJjelTtwZ0KH7voE46DHkEfwO61TTz2VZCcgubtzlxXJcmN8SdEa2AfuokWLZAMo29sjKjaJxGbiUGVM7rA3JEHD9ObagTsTOnTXJxgHPYZ88eabb3rzJ7SaOXMmCd5IkBtjTYrWwD7WoXbkyJFbigERgAJVWwA2VEoZNhOHKmNy19nj5wAkFGPU+EQ7rJs+wTjoMeQF0zvcqQNtfd3CLylujDspWoO2bduuWLGCBANaHjBh0KBBZGFg8+bNfu6ZFWtOP/30L7/8koSSgNMck7tR8+CDDw4fPpyEgDAexYFEZCW89xEJXvHVQ8zdePPNNzdq1Kh8+fLlypVr1qzZ+PHjqSJuxD6UXVFYWEglJ7S04OCcSpUqeb61ZAKw8g/odcl9x44doBQ3177hhhtA1P0G2NHbHoA+3XULxiEMI8cE5Unv/cTTjXXq1NHipeDee+9dt27dbo0///zzmmuuQf2+++5LpjEh9qHsClghKjmBy0mCBeq9JRLd9DWH6aG6oqLjjjuOVBrGJwGAkkrBgcciQQUwDmEYueSAAw44//zzSfBH+/btjzrqKBJcETc3wp4P4sTmbT3y8ccfg5nu26MoE+9QdkvXrl1h20iCLVpasHPO6NGj999/fxJSCT6AkAR/QD+Op5YHtDV0M8K4ZSUjivP9/fffv/nmG8eLkt15TxArN8Ic77zzThIUOOusszy6JefEO5Q9ENTCQD9xWeMw2LRpU1AeWL9+fUiedD1CMI7zmv7vf/9z3GsPHDgQ3SKgCjP23XffNzw8FjwmblyzZo399G3w3DCXxDiUveH5EjGZMmXKTJgwIXtmFBSE+qC4aFKhQgWcO5TxXz/478EKbYxuOgfj0AaTAxwn++yzz4LNvffeS7IC7hyIxMSNXqYm4bN5DojBGgQO5Cbdb2pcMXTo0FKlSmH5xhtvhDUGXn31VdQkG3g7j/MVj5/Fy0ax7AE/bR3RRuqmfzCO/Blrg+NkwaB8+fIkqOHOgUgc3OhlXgYC6SQ8or4GIQGrctppp5HghgEDBhhXFDQIyQmFJmmY5qpVq4xKFby1UkcbrJtDgHHIQwoVx8mCgdvru9w5EIm8GwsLC+GdNwk+OP7444855hgSokeMQ9kn2fPeZQja3MlSfAbdsGFDUiWIP/74A2dn8wYFao8++mgSnDjooIPAnoTQ0Ibs5ihgHP6owsP+E8LRo0ejN7Zv337TTTeNGjVKJdG7cyASeTd6mZQFAXYVOJFeg7DBz9/HjBlDsjUPPfQQWI4bN45kC84++2wwA7777jtSxR+cEUCyNWeccQaYNW/enGQzGjduDDaXXnopyWGijdpNhINxhM9VR3Q/L9Bx8skno0NkatSoQdUWeHncWLTdCLO2fxzbN998g84BHB8g8+CDD0Z2857q5I507twZF3LOnDmkKmbu3LlY5eqGedgEIDm2zJo1Cyfy1ltvkUqBDz/8EFshTZo0oZLG119/TXbhg0ckQYVoZyVHKlWqRCUzDjnkEJ036tWr5+gfdw5Eou1G+xlBLbD//vvjm0tgttODcMGGShEjumuQezp27IjLKTjyyCOpziX4MTRwxBFHkCpu4PgBkr2yceNGKuUc1+MH46ieqCrYT/aUU04xGoBm3rx5JJjhzoFIhN24fv16+6dN9O7dm0oaMH1HD3hxUU6I6LCSAbw2YHDk6xb23vjss89w2FZ3j4kLOAsSVIhwVlLBfrIvv/yy0QA08+fPJ8EMdw5EIuxGeIWbMmUKCQrA9B09cMkll0yePJmEKBHRNUgSGB8AydGGxhqT0drjeiJgHOeJO04WDCDFk2Bx6ZcOdw5EIuxGt9MB+7333psEC3788cdDDjmEhCgR0TVIGOKze3HzrAiCXy8DEKykijk4HRJUiHBWUuGRRx457rjjSDBDdoj4yQKKprRq1erFF18kQZ0Iu9F+vjJff/21o38E6t3mkoiuQSLZf//9MVy2bt1KqsiAAwNITgSuZwTGMfeA43zRJ0j9+vVJawHYUMkVEXajyow03xCKV8KAJZWiRETXIMFg0AAk55vnn38exxOvLwZUwHmRoAIYR/IsVWfvvfe+6KKLSPDHCSec0K5dOxJcEWE3uoqHzZs3q4TQunXrGjRoQEKUiHcox5T33nsPg+byyy8nlRp33HEHNjSycOFCMnIDti1btizJyQJnR4IKEc5K6ribsjXe+4mwG5s0abJ06VISFMCf79nve+66666HHnqIhCgR+1COL9WrV8/mHrXTAC2vvvpqkg3gZblnnnkmyU48/vjj2Ofq1atJlThwgiSoEOGspI7Pu/0gvnqIsBshs7t9ehq4YsmSJSSY4d/bIRH7UI47EBmAuBOZkYsvvhgMFi1aRLItw4YNA2MSrNGOmYXkhOJ6jmCcCJ88/fTTfhYX2r799tskeCDabnTlGfztCwkW+HF1qER3DdLDo48+CvEBjB07llTFgLJy5cokKAOtrO6pMHLkSO1QBevXrydVcsGZkqACGLs/UWFbJ57QJsj7tXFPPvkkDIMEN0CrN998kwRveHJjzrB3S3bxCgratGlzxBFHYLl9+/ZUZwa88QUbEiJGdNcgbZQrVw6DiWQtzmAnToJLoO1ll11GQjFa9863E0kMOF8SVABjN/Zly5aF/uvWrWv8Fe53332HtSeddBKpcs727dthAPDOj2QnTjvtNLDftWsXyZ5x6cYcs2rVKps3ygCcIOAHoEKFCps3byatBWBGpegR3ZGlE4yqwsLCqlWr+rwoHvpZvHgxlq+44grsWfdY6mSDUyZBBeWsVLFiReh5y5YtJFtz3nnngeUHH3xAcs7Ze++9YQDHHnssyWa0a9cObNx+GG2JshvzAswUCOREmDt3bunSpUmIHpzcI8e///1vjD+SfYCdYG/wgoHK9IATJ0EFtawEfQ4aNIgENVyPJGjuueceHAOiu5ubePRKMKi5MfeMGTMG54sfhJLWB4F0Eh6RHlxqCSpopk6dmo3lggJ4h06qNIFzJ0EFMHayd9ehxFFHHeW5beD89ddfVAoDBTfmHi0WsqDoP79Dc/HOOJpEbg2Y1157rXHjxiRYs2zZsnHjxjneBclnBMea7KnsavpgbGvv05mdO3e2/7Q3ITi5MceULl3aNBLat2/veUGh4d13301CVInQGjCIY8Bt3bo1G6oSVGHGk08+efzxx5OQMhydoweM+S+ovwggfvR3/fXXk6okV155pbsI0YAmH374IQkRJhJrwMg4RhsY7LHHHiQo4CF8kwFM3N3cwZj/gvrLN7j6AMkW7Ny5E2wcb7ODVK5c2bHD6JDS0z6yfPvtt+o39lMkRuEYLB58ZUWAPpwwYcLBBx9MQupZu3btDTfccLTGyJEjQaQKH5QpUwaXXv2yzhdffBGbfPTRR6SSeO6557DW/sEmUYOTe7To3bu3/fNXIcJOOOEEEtRI6q1jHMETkgQfLFy4sFq1aiQYwKMYoWoz7GvTwJAhQ9BLe++999ixYyFpAvfeey8+Yhe44447yNQN4veAF154Ialc0qlTJ+xB5txzz6XqWMHJPVrUqVPH/gpcCLXZs2e///77FStWLCwsHDBgAFVYU6tWLSqlDDwzSfCBfSddu3aFN1sypUqVsm8CGS2Xz5KNFPhTKUjuJFswcOBAMBs8eDDJCoA9QnLqYUdEC8fQxPAFGjVqpHjrMdgN7d69m4Q0oeIcFdx2Avb16tUjwQz8SpyENAGzhhc/EhRo0aKFiqPw1RRQ+VlZenAfYeBr/gvtD2J5nUEp/wHzDZrhJTW6v2oGTXL+bNF8E0AOddXJRRddpGIfyMDiBUzZwyZjw4YNNr4aO3Ys1AJuf1aWBtxHGDia/0L7u7+g4BmDUv4DPjFo9iqp0f0BOk1y/mzRpu43h/7999/77LMPCQooHtT/wOKFz/maNs86WoNkpiTu/QKuZG+GiX2wQu1hhx1GggZo7O8KkszoV4hDmLj/uS9evLhDhw4kODFt2jQ4osrvgf0PLEYEMlm5E7y3D+B4Y680497p4OI0xWXukYPYCMY0CUVFy5cvB9H+ki/ZPjkoxKHmKr9zX7p0qe7V1Ab1I/ofWFyoVKnSpEmTSPDBiBEjatWq9dJLL6GTe/bsSRWMBe4jTOGkiiNz5sy54IILWrZseeSRRz777LPwZpwqck6VKlW2bdtGghkY3BMmTGjatCmWqcKMBg0abNiwgYQkoRCHjs5RYePGjXXq1CHBFnwEkuMNIRD/A4sLAc40u5waJDO2uHcTeDZBzm3UqBGGS9++fWfMmLFmzZqVK1f+3//9X/369VH//fffk2kOgeNSyQIcG/D666+TygKwoVLCUIhDdBEJPlDsxNXh1C1jDUzT8bEw4lz76aefSGUBvItKxc15AsJ9hEFQJiIu4d0ixNPcuXNJtgDDjoRcAUf89ttvSfBB6dKl4RWLhIShEIdBrZ1iJ2DWvXt3EmyBJLXnnnuSkGjsXffMM89kV6igYPjw4Vi47rrrqM4CsKES44R7T4FzY+5fvJvE9OnTSVYA7Pfdd18ScoL/IJ4zZ06SzwSFOITpB+IB6MTxAmq89SAJTpQtWzbcm+5Ggx9//HH//fcnwQzwmPwUSfyalAQLatWqxRezK+I+9BVOqigze/Zsbyd827ZtvTX0Bj4jjQRP5HK0eQBm5zRB8EAgTti0aZPjA3fgQOqfGICx/U0mkkGzZs1s7ni+fv164+qAZvny5SSYMXPmzKOOOooExhb3oa9wUkWWHTt2+DnbL7nkEj/N3QLnv7fDQTLK5TjzA0zQaY7ghKD84NjPZ599RiUnTj75ZBxYlJ/QFgj2Tvvzzz+NBqBxvPC0TJkyVGJscR/6sB4BnTC5xz7aVIB3kf379ychfPACjDlz5pCsQPPmzf1PMwYoxCH4IShXbNy4MaiusJ8bbrhBG12SV8p+dvjp6Pjx40nWAE3Tpk1JsCDZTgsQ924Cz8bTuRATW7duJcEHuY8tfI6+4xWNDz/8MJidf/75JOeb3bt3d+vWDYYkU6pUqWeffZYs/KAQh3hEEnxTtWpVeOtGgldgPPJVtjhCSPQkJwuYGpUswOnfdddd8No5YcIEFJs0aULVFoANlRhb3LtJ4aSKIJlMJqiYWLt2bV7Cq7CwMBv7BQWTJk0SF8IvX778xhtvRL2rWzKFyquvvopDev/990klccUVV2CtryfQK8QhHoWEIIDe/NzRG5obP3MQNx8nOUGoTEpMH8CwcfxYBmyoxNji3k3g2Rg6FwIC3gaSYCAbWQZsfkQOtVTKB7DTqVu3Lg7y4IMPfvnll6kiGuCoSLAFp0CCWxTi0Ff/FkCHzz33HAlugIZWlz/il/xAwp5jDu841R+XgYAT7L9QhbO4SpUqJDC2uA99hZMqgkDQUMkM7czSs3LlSqo28Nhjj8X0/v2h8tRTT4HfSFDj119/dduEUIhDbRmDj1Xos1KlSiSoAU0uv/xyEizQBluw3377kRx/HnjggaFDh5KgwIwZM8ADJFjQqlWr+fPnk8DY4j70FU6qqPHjjz8eeeSRJCgAJ5hjkDkapI1LL73Us0+gYSaTIUERhTiEbj0PyZ6HHnoIeu7Xrx/J1uD3JYq3uv3Xv/6lDTk5oeVqLmDs+KqZJOeEjXtPgXPj5t8mTZqsWbOGBAUggOrWrUuCBRxkMj/99JNPh7hurhCH0KfPUdkjLmq89dZbV69eTVrNG+K2P64CD8GG6tdWRhmYCJXMgNrjjjvukUceEXcgoAprVGwYxL2nwLlx86+rgLj99ts5yNzi3xubN2921wkYO9lDh/4HpsJtt92299574+FKly7dvn37b775huo8gV0BJMcQcfULQCoD55xzDlkUFNx///2ktQbMVq1aRQLjhPvoUTipogbEBJUU0CLN2d5Vn8kGXPH777+T4IPKlStPnDiRBEcU4lBbybgu0z333BPf8ePIASy7/szNjF27dmGHjCLunQX+jZuL1WNi6dKlisYcZ4IAXeGiK7B0MobeAhxbXsApXHzxxSRHHvFcX/lmkCBSyQfYLQmMAu6dpXBSRQ31mFAPIPU+kw34wf7e95pH/4G0FpQqVWrdunUk2ANdOfWmcsToU6FChVhMRHwOY/ye+e677/Y5fmiOn5cC3i5FTSHuPa5wUkWNo48+WvHyKQidN998kwRbwJJK6cbeD9lzsdhg9+7dULa/MYiLt95g5mSpHTwJy/Tbb7/hXDZu3EiqiIHDA0g20KpVK5tae6DhmWeeKcoIiowN7n0Ebo2bZ//44w/7W48isG1UDxoOL8TeD7raLl26OPpN1bFgptCVam9xAKdTq1YtkqMB3usYcPwFFv6UmgQ18P4zjz/+OMkaX331lXbAgsmTJ5OKMcN96CucVJECgqBv377wL8nWgI3iTyuHDRum0mHigR0l5GsSDDz55JM6L23bts3Rb6qOBTOFrlR7iwniXj0k55XXXnsNB3PKKaeQSgFsQoIt9pZYC5DMGHDvGvBmTByKvx8BHnvsMfjX/nFfe+65J9iQ4ITWaxbHnx0mm/79+9s88+STTz4BF5FQDGjgJYEEM4xNzFGIw+wKKa9pjMB5vfTSSyQr8/fff48aNapjx4516tQ57rjjxowZ4/gMPCtwDADJbvjiiy+wrelzl4YOHYq1v/zyC6ks+PDDD9EykAdwJw/3a6NwUuWdAw44AFd9+PDhpNLCkUpmrFq1SjHQ4V1htWrVoAD/4lFQn0LAz5s2bSLBDHCO/CF7nz59QGP/aENVfyrEYXZtEro6ODWAZFsWLlyIxrAW999//5IlSzZu3Pjrr78++OCDqAfUL2atXbs2NrG5P4ciDzzwAHYlA2/4qFoNapbQhfaDe48onFR5pHPnzrjShx56KKmKqVy58tSpU0nwgS6M8HAAyWnioosusn/W68SJE8k7Gvithv2docCASvYoxKF2zMSui/AtyRao2AAqZvBeAc1OO+00UkUDfKwNAC9XpGJgTel/dSACInnCjBw5Ehd47733JpUBqKWSV6AH4yOn8fMHoG/fvqRKB5DZ3d5ADbxEJQscDQiFONTWJIqxGiA4x5NPPplkif3339/t9MHeuCtCtONkITl60PiSvuLquHcE+C5i7vvf//5Hq6owMBUbK6pXr37ggQeSYABvNwZs3ryZVEln9+7d5cuXJ0GBO+64w9H/jgYEmCl0pdpbnKlVq5ZxpiB6e6R7w4YNdV1VrVpV6975cTF558cff8ShPvXUU6RKMe5DX+GkyhmLFi3CtQRI5YTnp3aUKlWqQYMGJFiDgwFITjquZgrGgd2RDcycLLPLkI6FWLduHU52yZIlIEKhd+/eWOWBI488EnqAwvvvv6/1WhCvZ1LjmAGSPTFkyBDqRaJ+/foxurmN+/krnFSWLF1adPnlRe3aZY45puiJJ4q8flMP4OOQEFK5AVodcMABJDiBj2l/+OGHSXZiwYIF2rgi9Gik8IBp2tw55NJLL8XCypUr0ScoWgHvfr744gsS7FGIQ5UjJgmcL+D/Wnhx9TpAqlghroUfN24cqdQQDe+55x5SSfz000/46KjzzjuPVBHG/copnFR6TjqJWkGymzq16I8/4C8zcmQRbIRR7/IWeuh9gGRPXHTRRdCD/dOu8U623g502GGHYVv7K/9iDU4QINkAVWuoPOACzKjkCFg6GeNxSUgH/fr1C2rK0M+vv/5KQjzR1j8LyU6oG+P1moFcoBEe7uMAJq8ePe3bg3HmjTdItCBTunS2T4UHGqD3AXz76Z9nnnmGeiwo6NGjx7XXXnvuuec2btwYNVWrViU7r2A/AMlJATI1zuuFF16Af90+Tc2UNm3auPh6ViEOcYQkpAOYr+KDQRzZuHEj7N9JiC1z587FMBg1ahSpzJg1axbYkKAMNKlduzYJ0cN96CucVASk9QsuoLIKYL/PPlQ2IB6kO3v2bFIFzapVqz777LNFixYFewcPvNMkYHUdQrxo0KABTufKK68klRblVPKBu04U4lAbZgADixGO8+3atSu6BXjnnXdIawHYUCnm4HwBkkvy+OOPW1U5gvfxJyFiuB8WzMRxMpmMs40ZmcMPNzbEi6OBe++9l1QxBDI7zmLhwoWkihvHHnssTqFdu3akKmb48OFly5YlwRPQLZUUUYhDHC0JKaBmzZrff/89CWagQ26//XbYwZQrVw7KptdQCt57772OHTuSEHN+//13nP6YMWNIpYHf3pHgiQMPPLBChQokRAn3s1I4qZwNbLjsMtH84IMPxvW48MILURN3cDoAyTHhuuuuw2E3atSIVAZq1arl+bH00LPrbyYU4hDHTEIKsJ8s3pVz69atJKv5x9EgXuBLmjypQCYInaheCJBD3E8MfGHvDt/OypQtu+7887UlSMhHGTLi8s1YTA1vy4OQyprmzZurmOmAJsuWLSNBHcc41Hr2MJ74Yj9ZvGCJBA3NPc4+pFJS+PPPP3Hit956a6lSpYL69i6CjnI/IJiD9TQyLVoUKTwS3hm1iyviy9FHH40RtnjxYlJ5YufOneK7zbJlyxZqoAgMGjSI7NwjvioASKXADz/8APaKN3KqW7euq85LYBuHiDZ2r/3HEPt75QM6h0D53//+NwkWyPZJQvNEFpJ9c/LJJ7u6O2YOcD83cIeNR4Jy1sqVgXUVYSi+PM0Ur763/6T7hhtu8ND/ihUrsBVAKpe0aNEC2rZs2ZLkksA+HTsfP348qTwAY3MaHh6FhBSg8rEY+gSvA+7WrRtprQEzKiWOqlWrrl27lgQJzUMms964cSNWIcbf64KSStHA/WhgAlZzOPLIok8+obIpAwZQcxUvqNjEH/HbQqtUaAo2IcGJN998E4wV335izwDJPpg6dSr1VZKmTZuShR8UoggPR0IKwJuV2jN58mR0CyB//m4FmFEpcRin9s4772iOyUKqYnbs2AFK8fJpalOxYsWgrkMNBPcrB1OyWm8rPaI1zLRrV9SrF3WybRtVmZG5444i6WK7ZHPOOedguKhc6Almd4BzXAKt7L+X1o6fxcsn4LkHQ8gWnA4JKcDxPj/okC1btkAZf4Pq+IQysKFS4jBODTR//PHH9u3bTat0ShB1F8lA27322ouECOB+5WCGVuttpUd0zxaw6UfgaJAsMIAAks2AWs/JF9qafgovLjb97rvvSBV9FOIHJ0VCCrCf7CGHHKIzwOc6kWBBUh0I2yOr+wNbJffOnTuToAEaUzMqRQD3Q4HRm05g+vSigQOprIJVPzJR8lRuwPuaAaa3BwH9xx9/TIInoId169aRoInIfffdR6q4oBA/ODUSUoD9ZE29AZpgnp0SNw488MDVq1eTUBKr5D5v3jwSNKpXr25qRqUI4H4oMHrTCfTsmfnxRyqrUFAAaYzKVkTJU7nk0ksvhSgB3n77bVIVFb3wwguBXEGE8YdPowfi+qRAqziUwAmSkALsv103euORRx6x98/ixYuj/PN6P9jcWcGY3E1vJXviiScalfb+zDHuhwKjN5tABoJA+cuEzIIF0EnG0T5Knso9ECiIELHgk/vvvx9vPd+6dWtSxRGLOJTRnJeiENq5c6dKfj/ssMN69eqFZfvvYMGASomjSpUqkMRJKIlicu/evbtRGSmPuR8KjN50Ao0aFak/pAJ6cLomN0uUPJUXxKc0pUqVGjJkCGktwMvGYUvieMtpMKNSfLGKQwnNc+kKIcf59u/fH92y9957W2U3gWNv8eWoo46aP38+CSWx+lhG9xAe2BuZmlEpArgfCozedAK9e2e+/prK9lj1YCRKnsojV1xxhX3QjBkzBgyAs846Cws1a9akOjN69Ojh87P7/KMQRegKEtKB/zulCKAfmzv1x51XX331AovbGlol95EjR5KgUb58eVMzKkUA90OB0ZtO4Ntvi04/nco2WDU3JUqeyi/2QQO1DRs2JKGoqGXLlo5BFqko9AKMX2GOsZ+me+Ct2/Dhw0nwytlnn+35TkFxwSo2rJI7vHsmQQM0hYWFJGiMHTv24osvJiECuA99m5PK8UQqU8bZRsaVcXL59ttv7X/ZDHE2bNgwEoqKbrrpJqvAFTgaRB0Yv8IcYz9NT8Cs/dzW4uuvv06D36zmaJrc8TPPTZs2oXjqqacabaLmNPejgQlYzcF+bjYNzchccknRhAkkpJs+ffrMnDmTBDMgquTA0ommOBpEHYVwUvFDUoGJT5s2jQQ3vPLKKylx2nHHHae7i7gWL3qozlB79dVXU0UxoKRSNHA/GpiAxRwyvXpln4xqBTbU/dlgX5sm9tprL8dfimPAPfDAA1ggrTUqNpHGMX6KfUJC+oC5V69enQQ18GerJKQAD5N95plnZsyYQYJE5cqVFy1aREI0cL+Q9idVUJExc2bGZVwmmBo1aqh8tZXNZBpTpkwhlTVgRqWYYh+HGugNElLJf/7zH/DAVVddRbI1gwYNAkvTp0InmG7durVo0YIEf0Qw0twPyPakylx8cVEgzkr3OanjhBNOsN8U9OnTB2LrhRdegPLZZ58NZcdQczSIOrZxiKj4IQ20a9cOXfH444+Tqphx48ZhVdRuV5szYO47d+4kwSvQCZWihPsxOZ5UBQWZv/+msjegh/ffpzJTVPT+++/bXP+AT9iZNWsWycVPFLO/2j2a4egCxzjU5hj7aQbHrl27zjzzTPzgBYFy3759E3y9oyLgCip5AprbfyWWL9zPSuGkcjawoVGjTL16VGaKsYm/IUOGGGtBc9RRR5Fghs+Azj8wfqcpwBxjP00mJ0CciCthXAENH374YRIihvvQVzipsoCNxX157KhYMZP0q2u9YZOk8JFJK1euJFkDNNus76h89913D3R1l7cIohCH4ASABIaxBULF1Q05vvvuO2hi+riPiBBacgfArGpVKjuycyfYZ667jkSmJBB2upvSyWhJLPsuu1q1amXKlEGR6sywr40HCnHo6AeGkcEfeN9yyy0kWyAeVUZyVHE/PoWTSpAZPz5r3KMHyWZkYIPvps/U4hhM//rXv/baa69OnTqRbMGqVauiH5fOKMSMdgJyXDHuOP300zFyzj333B+L73S7Zs2a6667DvUAKiOO+1EqnFR6XniBWsHfmWdmbrih6Kqrig4//B8lo0CTJk0c7x2mQlxC0wGFyInRechEkI8++ujQQw/FKNp3332N1xpFHPehr3BS2ZD55Zeizz8vmjUL3tuQilHGf6oqLCwcPHgwCbFGIQ7xtCSBYVJGrpM74xM/2Qqf1EpC3FGIQy23c6wyKcV96CucVEyoeEtYbdu2TVSmU4hDLbdzrDIpxX3oK5xUTNhAzjr55JNJUADs4/3cJSOc3BnGFk7ucQWf8uX4A4rCwkIwc3zmTvzg5M4wtnByjzewf8cUVrly5eeee27+/Plz58698sorUQls2bKFTBMGJ3eGsYWTe3J44IEH+vfvf+mll77++uukSjCc3BnGFk7uTDzh5M4wtnByZ+IJJ3eGsYWTOxNPOLkzjC1ekzv/8V8U/mzh5M6kGQ59JrFwcmfSDIc+k1g4uTNphkOfSSyc3Jk0w6HPJBZO7kya4dBnEgsndybNcOgziYWTO5NmOPSZxMLJnUkzHPpMYuHkzqQZDn0msXByZ9IMhz6TWDi5M2mGQ59JLJzcmTTDoc8kFk7uTJrh0GcSCyd3Js1w6DOJhZM7k2Y49BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYRiGYRiGiQG8cWcYhmEYhmGYGMAbd4ZhGIZhGIaJAbxxZxiGYRiGYZgYwBt3hmEYhmEYhokBvHFnGIZhGIZhmBjAG3eGYRiGYRiGiQG8cWcYhmEYhmGYGMAbd4ZhGIZhGIaJAbxxZxiGYRiGYZgYwBt3hmEYhmEYhokBvHFnGIZhGIZhmBjAG3eGYZj4UVAMyQzDMEwK4KTPMAwTP2jbzht3hmGYNMFJn2EYJn7Qtp037gzDMGmCkz7DMEz8oG07b9wZhmHSBCd9hmGY+EHbdt64MwzDpAlO+gzDMPGDtu28cWcYhkkTnPR9UVhYyK+dDMPkHsw8AMmMMuQ4dh3DMDEk9Mw1YcIEypEGyCLO0ExCmAv1qww1iyQ0RAP9+vUjixhSr149mga//DP5gIIvnPCrUaMG9V6SNm3akEWcoclw3rZm2rRpNEQDixcvJqOYsGLFChq6AbJgmFgRbuDSyWE4PWbPng3Ke++9l+TYgrMDSA4ZPNY+++xDcvjA3hoPSrIbYJzYFhg3bhxpi6GKuKVOGnRJqI5hcggFX9DhN3nyZOrX0PNpp51mVMYRnB1AcpiIHTDJOQGPCJDsBmqpQSoJqohPGNBwDQMmrQapGCYmhBiydE4k+qygGeZqjnisWGzcsRWwdetWUsUfnBEJ6YhwJrJQ8AUdftRpoqOaZpiTOcZr407NEr36AppqOibLJIkQQ3bcuHF0WqidGN26dSNrM8hIgiq0KiqVBM3atGlDskRhYSHWymAVFPCDJSNoJkMVZlWwYaU6A54vEcHmVhv3c845Bw2MGHfP69atozoDaECCGfBShDZWCAfOnDmTVArYeAww7YrqDFC1BFWYQRbuofY+emAYz1DwBR1+1GlBQadOnUhlC1lbQEYSqL/55putUpBspsOYeRYvXoxVUMaCEbSUoQqzKldZVAXHjTvWmkIWEs2bN6e6koivNEk2Aw1sIDsFSxm3L9yOLz0yVGEGWfiAOgqiK4bJJeGGrPHaMqowo0aNGlQqCbU0tCWtxogRI0irQdpiSFsMaW07JFUx4oLmdu3akUoDlQDJxZDWoAeowqzKEWxounHHKoBkCaqQqsS6kGyNt0/csQlAshpTpkyBnE6ChPiZhK4WlcaLcHSIyRpf9efPn49Vrt5gCLAtQDLD5BAKvhDCT77IDbDfwUNupFJJqLFheKTVIFUxpC2GtBpidwhZglQaYuOOkLYY0vrW21fZY7Nxd5uaUAOQbA3ZuRwttXHZytULt/pLj82NHwK5J4S4JMzofIaJOL5CX52bb74ZTxKB435LBpuQUAwqAZJLglVwXJIlsAoguRhUWn0cjrUAyRqkKqkUn/GTbABrJ06cSLIy2NC4cUc9QHJJIPUba1EDkGxBLjfuNmBvuomjEiDZArQ57bTTSC4J1gIku4FaBjdNhlGHgi/M8BM7JAFVKADbfdMmqARIlhAvEySXBKsAkjXkT9xNwVqAZA1SKSgFpllUBZuNO+rVU5P4JlP3QZURNANIVoPauJ+jFaa9oRIg2QJ7G6wFSHYJNU7WlZxMegjsFFVHvl8BqSSowgyyKIa0FqcuVgW4cTfdwqIGIFmDVE6cc8451EAZbGizcbeHrIshbTGmn5zlfuNuemkTYpx4u3btqK4YqpCgCifI2g3U0lNbhvEJBV+uwo8OpkEqCaowgyyKIa1ZJ/a7cKwCSNYIY+NuD1kr47hxd4SsiyFtMa5e4+yhNu7nCFBLM8hCgiqKMb706L7zsYEaKCNfqEMqhokbeYtdOnWkk4dk6/OchGJQCZBcEqwKcOMu3m+QrIEagGQNUlkMzA/YrdtP3FWwejflbeMuPhlydfM4bAKQLIF648Rlhg0bhmaA/DkKasL4PhR7BkhmmBxCwZfD8BMfosN2GTV4fzAENQIPn7hHZONOckA4btz9pCbsASGVBqlczoXaBNfKSi9j+tLj7XXHEewTIJlh4kl+Ilh8JSouWEQRQFGHaRUqAZJLglUeNu4AySWhupK1pCqpFK8l8KpGqoDAbsPYuCPYiew0sVIkK4OtAKsrIBHZRWhPQkmwyn7jjqAlQLKZJiio3xB6ZhhHKPhyGH50PLWTK8cbd4BUEuJ9BbyrJ5UGKgGSNUhlcXTPqHziTrInxG/6SdZADUCyMtTM6cVLvEaQtcWBbKp0oKX80oMagGR/UF8B9cYw+SXEOKYTRQM36CKFIaNGjUJLhLTSbxDBgFQaqBSQ1jZleNu4I3jpoe4n8GgpIK1BL7+c6D7Cd7wC3gZsaLp/lT+3kK+eN/1mkGRJIz8ni1TFkLagYP78+SCq7J4R+dM4BF7LxYfxArKWDiReZXU/bpYPbdwWyDelIVUxpNWQf+EKYYlKxQ+9oC0cV4BtAZI1yJRhQoaCzxDtfoDUQZ1qt97C8+Lee+8llQZaInIVqUo+mwwgbTGkNRu2z407gq818kSM3/tRheFArrKoIjYbdwCrEMfUhBr5GktIiagESKUhrsgHUCMKjuiWD8DMRkIxZC1NQYzf5oWbVJJS5aVHdxe4ESNGoJ5kW9DSEbJmmDgQerwaN2q4IbaCjDSaN28uK7EsENc3k1wSrDLdkIk7apFcDCpxny1nasDqWVH2YwCM+Q6gOvdgc/tfJqGNDIyB6kpC1cV069aNKgzIV6EApFVG3lIjukQsQxbFoBJ/JKf72AxAGxmqMEO3poju3aM9uhckU8iUYUKGAi6ckKOuJcS3o0bkXTIgsiWKWBag0ioDYC0JJcEqXUPdXl98Q4jAO3/U68Ba9SwEWGVRR0w/Edehnpp0rgbkNxg6MG0iNpO1Qn4UF2LzGkEWGvYv3ADqBTbdArr3jYj6t9myE2wga4aJAxyv/4AnsNU17gzDMNEB8xVAciqx/5CeYRgmeXC++wd8AeCNO8Mw0QfzFUByKuGNO8MwaYPz3T906tRJ/QJuhmGYPIIbVoDktNKuXTvP17EwDMPEDt64MwzDxA/atvOHzQzDMGmCkz7DMEz8oG07b9wZhmHSBCd9hmGY+EHbdt64MwzDpAlO+gzDMPGDtu28cWcYhkkTUUn68PJjczsX/y9O9v0zpoDTov+rL964MOkEIh8hOWRUjmVjgM/ZIcEr/ntIIVZOw6dNkeAGaAWY3lCfBJf4aYtoI1J9jh7DxJ3Q86B4YMSgQYNIZQYY8MY9aoDTrDbupo+kdQR6gz4B4xPIqeQeb22h1cyZM6EgHn2CeoaJCxi3AMlhAkexfwIoYlPLG/d8EbjToEMBqfK6cce28C9v3JmUEPApbQRPKnx6HGpMgVrYWJs+QBvQieeccw7aIKQtRn5iM6mK+8cyPk0aH+APaIYEbuYEpJWgipJVpLKAjDSMT42lCg1SaZBKg1Sakkoaci0+MlCnxIJ4jjcqYeIoAuArVCIrVqygiuKurDbuaIBgWX6qKOqN4MYdCvCvfOdNXRN5GABpi+nWrRtVFHeFekSuHTduHGmdAGMqMUxMwCAHSA4N+ShQgGSOZSNoCUBZJASs0m3csQp3WpCZoSx/gou1cCB84QCEHguY7mDDhyKURXrPWhsOJMqQgcX2TlclykbkWiyLlw8ANVDA9zbG/mW9SNQCEEUyzDbQGDZsmFEJr4/t2rUDDVSBuG7dOiiPGDECyuKgeCxM7Nk2Glilw3RFACi3adMGCsYnVSPCTBQA3eYbH0+OPcCrqmaoPxY+YRfLAFYBsiiXjWDPWIaCcALDJBvLUyIQ4FzSZR8sGzHWyqKuPHnyZBI0QCMebQ1l04chgx4zuyiYArXi5IcyFhAh4oOgsYyAaPpAaaMlbiuxjAkXyzJWekCnB1Fo8PVA90G4bICACEmZhKIi8JUw0Gz1xoobd1nEpE9CScTGHdAa/VPGAiDrEVkjlwHYmsuiXAY02xIaU8BG9waGYaIPhjdAcjjgxxwklMxgRoxVQiNvE6EgygLQYBo3rUVAj1t5sWU3RW4ul+XUCoUaNWpgGQGN6bP3QQ+QoCEndmMtYqVX2bhjWaDTGD+f1vlWt381dogYN+5U0gBRpxHIVaIsj0reTws0w6wSVxCViNxWsypRa9Qg+AkdCZoZb9yZlGByPgQF7GXhXII8Jcief2ZnIAB63X4aNHI6w4K88xOABpWmtQjo8XMdowEqBZDOZL1V2QjWypjqQYOvOqa1gJUe0OllS3QvlgWgMXrViKjSbdONGoFoBUBZPorxdUWgWyAoo6hTUqkYzYqUprVYEOurA2tN8XyVJ8PkHQxvgORwoGMYoOqSGPVCo7Jxx4+QTWsR1Ot2bACI+PEtItdCWSBeUADUkGCL0TK/G3f8TJ0EA1Cl++jKyjiQjTsgRKHU9YxoVqTU1dpv3E3BJqaQBcMklxCj3PQUAqX8JaNAO+P+sde9KdeVjRe0UEkrY/bXAXrcXEKK1NlTSQNEeeOOBR02n4jrwEt6SNCQj96uXTvTfqz0AOjlpAyisFTfuMuvXjLZvkr2AGKoG3cARIRki2GIT8J0taeddposymV7bL4WYJhYkD0TNEgOAav+QalLLAja4/dXYmuFVcZtohBxJ2q1q9aVsQDo9FOmTBFloQdQFIj0DoAof9Vm87UbtsUyXgQCr1Ao4o9kxDeuUMZDWOmxDEBBuMjVxh3QmclfnOK7GvzsGdOjqNJhXBEqaWjtzBsaq/BDOlmJIkxQFrEMyCKWARQBnQgvuBMnTiTBGmgif+Ku64RhkkRYkQ3nDF6NpwOzHgkSqMQ9K4J6RCdibkKMO0uq0CCVppRfaUQtplcEy3J6FU10l1oCKApIawZZaBgv46EKDVJpkEqDVBqk0kYr74MVN+4A5msBNKSK4k+SEBDh37A37gBodEr5pw4AaYsRl+wDIOK/AnxrJAAvUYWEfB28DNbKZYaJLBioAMmMAaN/jBqGYZh4wSnMHOPH3pzxGYaJDpiRAJIZM8hHxZj+GIlhGCZGcNJnGIaJH7QV5Y07wzBMmuCkzzAMEz9o284bd4ZhmDTBSZ9hGCZ+0LadN+4MwzBpgpN+KOhuKDtz5kzTX0kyjBFd8DCMKbRtD3PjDqFoCtbCoa1+vB4RdDdOUUfzaxacoMrT5UIlN8fN1+zccvPNNxcWFqo/Xy/HaGFCkMrA/Pnz5dtCyPTr169du3biLGMYI2GdqBS2Bpo3by5q0dIP++yzj1X0m+LK3tsIoZW4UxigTdTvTP30AG1z8OKam6MEgrhzDsmBMmLECPmudm6BUdnckw7AkQMkFyPuKyegCia50ErnZK1NDwSaQM566EfcN1AFdXtvG3fYOelagQh7dxI8gXe7IsE9ftqqk5uj+MG4LmH82hi61R3IFTZt8bHlumeZC0AjhxmI/FtqxpTQT1QtPk0CVCitdtIzZ86EKvFIVFPkfmSmTJkCbY03jDe1h302GAMkF2PaswDe7hubALpW2gH1/dhMDQejqzL2gICl6fty7ATL0NbxxfXee++1+vQC+hFd6XA8CtSaDk/r0rxPATS0ag7Mnj1b14PVcugQT1yycqlMdpQKfcpAt356hraOOxLjXgRvY0qChu5pl0wigSVGSA4T0wOBBs56rELEzdQBvLm4DFVIDBo0iOqKQT3eNVgG9ab2urvHAmgM2Gzc0VIgdkgkFyN/1g7gY6ftp0aqYkw1CMnFkFaDVBrGNxICnCAaCKhOg1QSVKFBKg3TtysypC1512aAtCWhOgmqsOhWvskvAINBvT1gKT94Swd2JQBfUYVWJR9CvoWxZvsPqNRBdRKmelSaYjQwajD2SGAYidDDwhiOACrFVs/4GB35sfyarfk4jVUgylsinYFO1KGrtbIcMWIElTR0ZkZR1kDZampyGZDTiqwHdJayqHvkE7wagWi1cdfamfcDPpSrALnW/iiaoXm3ULAajGDy5MlU0oAm4kNoHBWAImIUdT0IoEp+ecaCEaiSa3FbLPrU1QKyaKyVsfcqAGUPG3etD/1BQcNftiYbXHeA5DAxPRBo5NNZfgyQ8dlz2fYWQwW9HPZGSziKrIGyzWmitSZjm427DtlMdzgARLHts5+arkpg/MRdJ8r7ZijILxOAVbf22QAK8NqKZURXa3MUuQzohuf2+wdoIl6XoQxgGTHVyK/jMmiM2OzvoZZKxYBGeEPXVt64A1CWRR1QZeNVQC5boWsCGDWAUcMwQOhhYRWOOqUQxeZMB9bq0FXpRAQ04gNsUwNMSQLSSkMysrX4eUyI7q08lTTQAMv2UxMFI7oqrZEeUaW71gI0Vntl0QrJ9iL1Ix5WisAuUK61OQqUjWAVgKKucyPwioKWCCqtNr5GqFoClDbLJGOsyvZYrJTLiCwaa2WgysarAJQD3Lg7dsXEGlx3gOQwMT0QaHS5Rdho5qoDA0vdxl13vRkkcLk3nT2eRACcGqKMVcaTRYBmkFKgCbaiCqeNe7aZRZ82D9XWbdxtBgYYq6yM7bOBrgpwrMWC/fCQbEcaJJcEq2DWwr1iI45VWEZA1L2FUGTixIm6rhDjKwWQPWqxEgp+Nu5UKkZnbzQwomsCGDX4VRIJDCMRelgYwxEwKoWIe2IsO6J184+xTgR0vekMdKL8oQIgl2V0ehBFTgeMtUJjPzWoggRHQkl0rUA0XgWEQJXR2NvGXZQRfFotlo21IMobd6vhyYBZjRo1SJAAvfyyDSKAZWM6xg/7SbBF68YEqpYApe7rV9lSLiOyaKyVMdbKXgWg7GHjLn/SiQwbNkynYZIHLDFCcpiYHgg0Vht3AMqKbx3BUn5Di2/aSdAAUdZAWbY31grRagOq00Nvsmi/cQdAtJoaVImv9QBR1h0C0FnKQJVsrBNljBOUjeUyAiKkC1GWa42i1fBkwMz0mk/Qw+sdlvGFz2bjrvvK3Qbj97FWDXVVuu9JdLX2og5jLYjCq4Cu1hStD70ZaOCtCAmaCJkcy3hxPJYZJvRQyIanWYDqlLKIb391UF1J8GxEUIMfbMigHjHak6CBP1tEPSCXZTTbEuhyOpU00IAEp6mRXAxpJb34kIBkCdQDJEt42LgDKMpQhQapJOSjkErCVI9KHbovQORPqkw/R9F9Ng9Yvf+RATMqmYH9CHQfk5NWw+qFEyC5JFQnQRUaINrsddBeBn/qDeBnWjKoB/BCSavLh5j4ggsNkBwmsC8xRqbxRDNq4JyFzCA2bVZAQ2OaAo1RiRjt4SQVuxx5F2UckgBOXtGJzsxeRGymBi80piMfMWKEzh7HYNoJTEdkHptZGIequ4PZzJkz4RC6KzwF9kexGh60Ar39BzR4XNyJQhmVAASSLMqAPWAzWQTdq/LxEK6R1YU9UCXcojsodA61ciDpsPGq4/jtgbcx0DMJEvI2g0k5uUj6DMMwTLDQtj0nG3eGYRgmInDSZxiGiR+0beeNO8MwTJrgpM8wDBM/aNvOG3eGYZg0wUmfYRgmftC2nTfuDMMwaYKTPsMwTPygbTtv3BmGYdIEJ32GYZj4Qdt23rgzDMOkCU76DMMw8YO27bxxZxiGSROc9BmGYeIHbdt5484wDJMmOOkzDMPED9q288adYRgmTXDSZxiGiR+0beeNO8MwTJrgpM8wDBM/aNvOG3eGYZg0wUk/ySxcuHD27NnTNT799FMQN23aRHUMw8QZ2rbzxp1hGCZNcNJPArA7/9e//kUv4xKdOnUaMGDAEI2hQ4ced9xxe+21F9UVU1hYOHr0aOqIYZiYQCcwb9wZhmHSBCf9uPL+++/T63ZBQe3atX/88UeqcMmaNWsuvvhi6qig4NRTT6UKhmEiDJ2xvHFnGIZJE5z0Y8asWbPw1bpKlSp//fUXaYNDfHJ/zjnnkIphmOiB5ylAMsMwDJMCOOnHhh49euDr9Pfff0+qMKlfvz4ebvfu3aRiGCYy4OkJkBws0C3/8V8E/xgm9fBpEAPOOecceHkuVaoUyTnk1FNPhUOXLl2aZIZhooG2ac9CcrDIWyX+47/o/DFM6uHTINKsX78eX5s3btxIqnxQWFgIYxgwYADJDMPkG8wMAMnBwlslJjpwNDKMBJ8G0aVfv37wqnzkkUeSnFd++uknGEzZsmVJZhgmr2ib9iwkBwtvlZjowNHIMBJ8GkSUli1bwkvyY489RnI0CHGjwDCMG/BkBEgOFrFP4vM9VkyZMqVBgwYUGW5o3Ljxp59+Sr1EDY5GhpHg0yCKHHnkkZBJb7rpJpLds2rVqp49ezZs2LBcuXLQVfny5f/1r399+OGHVO2VnTt3akmew4Zh8gyeiQDJwSL2SXyyRxvIyc2aNaNQKCiA8ooVK6jODQsXLoS9O/WifdMbodsScDQyjASfBpFj+vTpkDePO+44kt2QyWQw7SKVK1euWbMmXqEu8PlL0yVLlkAndevWJZlhmHyApzNAcrDwVinawH69fPnyGACnnHIKaYOjY8eO2Hn16tVJlUc4GhlGgk+DyIHpkgT3dO/enUoGsGegdu3apPJEp06doJNvv/2WZIZhcg6eywDJwSL2SSH1z3jlhRdewHU/44wzSBUmHTp0wMP5/8LWOxyNDCPBp0G0wKR89dVXkxwod911F6bgSpUqkcoTW7ZsgU6qVatGMsMwOQfPZYDkYOGtUvR49tlnccVnzZpFqlzx5ptv4qGnTJlCqlzC0cgwEnwaRIt27dpBcvR2kaIjmHmBZ555hlReKVOmDPRDAsMwOQfPZYDkYBH7JD7NI8DmzZtxrd966y1S5YOHHnoIh0FyzuBoZBgJPg2iReXKlSEt7tq1i2SvQKLfsmUL/Ltq1apRo0aVKlUKE2758uXJwh943TwJDMPkHDyjAZKDReyT+DTPN5deeimscoUKFUjONxh1999/P8k5gKORYST4NIgWZcuWhZyYyWRI9sQtt9yCudXISSedREb+gFcR6I0EhmFyDp7RAMnBIvZJfJrnlTp16sASX3bZZSRHgx49esCo2rRpQ3LYcDQyjASfBtGiVatWkBDXrVtHcnBAn9kX+WK2bdtGFZ7Au0ySwDBMzsETGSA5WMQ+iU/z/NG+fXtY3yeeeIJkl6xevfoPW9avX0+m7rn22mthbF26dCE5VDgaGUaCT4No8eCDD0I2DO9byLFjx2Zf6jVI5Qn/PSSATCbz2GOPde3atVGjRjVq1ChdTPny5UFs0qTJueeeO3HiRLJmmEDBcxAgOVhwk4R/TD4YPXo0LG6PHj1Idskpp5yC4WEPWXsCf5E1YcIEksODo5FhJPg0iBz+86kNmzZtwv4BUrlnyJAh0DyfdwfLBxs3buzcuTO6Dtlrr71uvfXWn3/+mSwMTJ8+fejQoXXr1qUGGhdffHGEnmzCxBaKp5ByBW6S8I/JOZAifC7uqaeeij20bduWVCFQunRpOEToCY2jkWEk+DSIHHfccQekwmuuuYZkN7Ro0WLmzJkkGMDbOCKPPvooad0DzWvUqFGxYkXsCqhcufKoUaN+++03skgQ+I0wcsMNN5DWB/hTM+R///sfaRnGJRRDIW1leKuUV/Dzcj/3XszNxh1eR+AQF154IckhwdHIMBJ8GkSRevXqQTZctWoVycqIZ+nZ4+euNfjzWSjMnTv3qquuwg6tOPHEEz/99FNsGC9eeeUVnML+++9PqqD566+/8BBAIt/zMKFCoRPSVkbsk0Lqn7HF/8rmZuMOwCHgRYGEkOBoZBgJPg0iCubcpUuXkuyG7du3//zzzxdccEH79u3LlStXvXr1o48++vPPPwc9WXgFR2XTz/r161966aWaNWuipSn169d/4IEH/N/yMiT69u2L4/zzzz9JFTIvv/wyHvGee+4hFcM4gTEDkBwsvFXKK7CslStXJsETYuO+9957n3/++U01zjvvvJEjRwZ7ZQsehYSQ4GhkGAk+DaJLpUqVICHm9Ha5tmCC3rRpE8luWLBgwXHHHSdfXWOkf//+NteL54CJEyfiSPy/w/EAvLPCo//444+kYhhrMFoAkoOFt0p5BZa1evXqJHjimmuuwfCwYZ999iFrH4jvYEOEo5FhJPg0iDS33347ZliS88SwYcNgDD5fSIxs3rz5lltuadSoEc7RlHbt2j333HPUIEzwcHm/CcxZZ50Fw6hRowbJDGMBRixAcrCIfVK+k086gWWtWLEiCSGAu22EVF4JpBMHRCiGfSCGiQN8GsQAvHK9e/fuJOeQOXPmYF7+4YcfSBU+H3/8cadOnfC4ptSrV++SSy7ZuHEjNfDHmjVrsFuS8w3MK1LjYaIJBglAcrDgJgn/mJwT4soWg4cAzjzzTFJ5AnooV64cCSHB0cgwEnwaRJrjjz8ec6ugWbNmVBcy48ePxyM+88wzpMora9euHTp0qM3FNmXLlm3Tps23337r6ur577//HtqWKlWK5MiAkyKBYQxghAAkB4vYJ3EQ5oPLL78cVvbxxx8nOQQweID+/fuTyj2DBw+GHm699VaSQ4KjkWEk+DSIIn/++SemVKRjx45UUVR00EEHofKOO+4gVaD89NNP2D+wYcMG0kYYeF/RunVrGrEZhYWFDz/8sNUvTdGABJdg//a89dZbZO0e7IEEhikJhgdAcrCIfRJHYJ4IcXGLiu655x7sHyCVJ/z3oATGIf4xTOrh0yBaDBgwAFMhMn/+fKowcMABB5BRQcGbb75JWk9s2rTpyCOPpL4KCqZNm0YVsWXWrFmXXHIJzceCCy64ALbsUKA27sF+gOeee26iGc8//zyZemLevHnQ+Z577kkyw0hg7AEkB4vYJ4XUP+PE119/DYu79957k+yGKlWqQNu99tpr/PjxpNJYuXIlPu5UsGPHDqpzD+bPuXPnkhweHI0MI8GnQVQoU6YMZlKgUaNGpFVg0aJFhxxyCLXUgHx91FFH3XPPPT/99BMZaWzcuPHll18+99xzmzdvTqbFgJ6Mksvq1aufeeaZypUr05w14B0LVbuHugjzwYF4Z6E1a9aQzDDFYOwBJAcLb5XyRCaTwacvCTxcQb5q1Srcu1vRr18/MvUKvMRAP34e5OcCjkaGkeDTIM/ceeedmEmRjz/+mCp8sH379iVLlowZM+a0006rV69e3bp199hjDyj06NHjyiuv/OKLL7Zu3UqmKQYf1g0vkyS7B5cMCG/jDu/KoP8zzjiDZIYpBmMPIDlYeKuUW1588UVazmIqV648Z84cvM1U69atyS4a4Mcfw4cPJzlsOBoZRoJPg7yhJWeiYcOGpGVyBXqeBE9gDwDJ4QD9V6hQgQSGKQZjDyA5WHCThH9MOMyfP79cuXK0isVcc801VF3Mu+++i1V+PmUIEBzM999/T3IO4GhkGAk+DXLNo48+iokPefbZZ6mCyS3gfJ83k8EVtOGRRx4hUx9gVyQwTDEYGADJwSL2SRx7QdO9e3dauWI6d+5MddbgtZTdunUjOR8ceuihMIbatWuTnDNSE42vvvrqmWeeWa9ePS0uzGnevPmwYcO+++47asOYsWTJkjvvvLNt27bkNTOqVq3apUuXxx9/PHbXIHBSzh3y2Qhbxoh8fJJacCFICJRvvvkGO0dI65VAOmGSBwYGQHKwQLfij/HNyJEjabWKKV++vNufda5evRrbXnzxxaTKFV27dsVD79y5k1S5JKHRuHjxYnGbOOSMM8545513/vrrL7IwA1rBXvPggw+mNhq9e/em6rQinlaJwNvLO+64Y968eVRtxubNm7/44gu8pakATkx4+0QWUYWTcujMmDGDIkLj+uuvpwomr+BykBAChx9+OB6iUqVKpHIPPhwKcjTJDFMMRhdAcrCIfVKY50iymTNnju6n8MBE389m/vvvv7GrwsLCsLfR69atw2MB27dvJ23uSVY0yo8XfOWVV0jrjyFDhlCPBQUTJkwgbdL59ddfxcVmBx544PLly6nCB7DXx9slAfvuuy9pIwYn5RBp0aIFLj9CWiYa9OvXDxbl3XffJTloRo8ejesOkMo9I0aMgOaPPfYYyQxTDIYWQHKw4CYJ/xhldu/evf/++9PCFHPKKae4eiqcItdccw32D/uMYO/J+OWXX5YtWxY7v//++0mbRxIRjaNGjUKXtmrVKrz7Gfz+++94lFKlSsF7PNImjurVq+M0P/zwQ1KFwBVXXIFHOfbYY0kVDTgpB8+CBQtwsZHLLruMKpgoAS+luEAkB4145Rs6dCip3IM9kMAwEhgbAMnBgpsk/GOcuPLKK2kxiqlTp86mTZuoOmQ+//zzqlWr0oELCk488USr581Z8ccff+DtHRHYFdk8QiQPxDwaO3bsiI5dv349qcJn+PDheNC3336bVPFn48aNOKmcPUIewc/14R0yyfmGk3KQdOjQAaMKWb16NVUwkeS+++6DZerVqxfJyuCmv1WrVps3byaVxAknnKCtfxY/PybDZ2zZX6XHpBYMMIDkYMn9VunbbzP9+2fq1y9xaPmvbNnMKacUvfdeUQ53PzZ8+OGHtAASfp6UHBSjR49u2rQpDUiN5s2bR/prPTkMYsVNN92EHs7XT9rwNQ5Yu3YtqWILTuT4448nOefgY1Vy/J7BFN64B8DKlSsxpJCjjz6aKpjIg78693DBTJ06dXC5rbj22mvJ1BMnnXQSdHLDDTeQzDAlwTADSA6WsLdKK1dm2rYtcZSOHYueeKJo2TIyMLJjR9EbbxSdeWZR+fJyw8zUqWQQPitWrKhbty75vZhBgwZRdYSRX6RIFSOk5SZN5Nm9ezd6O7yrMdVp0qQJjKRFixYkx41bb70Vxu/hSWSBs337dm1VC37++WdS5QPeuPuib9++uIpIfteS8Ubt2rVh7f773/+SHAHw7QRfZMXYoKWcLCQHSzhbpQzscUW3DzxAWj/MmpWpWRM7zDRuXBTCpeRA7969ydfFtGnTJp8/1nQPb9xzyaxZs6Lm6p9++ilqQ1IEb8cXqRfoPfbYA4Y0ZMgQknNODM/hCJDJZLRTgGjZsiVVMPEEbwi15557kpxX8HK66dOnk8wwZmi5JwvJwYKbJPzzz+uvY1eZ2rWLwtvvjhhBR1G4Lboj48ePJ/9KfPnll1QdN3jjnjPwgVnVqlUjOTJs27YtdgGADzj/4osvSI4M/fv3h4HBvyTnlhiew3kF3vZpkU98/vnnVMHEHPHN5htvvEGqnHP11VfDAHw+FopJCRiuAMnBIvZJPvsfOJA6ydnzYnbtKipTJnvEypVJo8y6devg3Tu5tZgxY8ZQdZzhjXtu+Pnnn8HDNWvWJNk977zzTq1atXCldJxwwglk5BX8dVYZOEHiQOvWrWG0H330Eck+WLNmjbjJY1CvsH369IHe8vJVAG/cldi5cycuOdKwYUOqYBLEsmXLaIELCr799lvS5oRx48bhce0fvcEwAgwYgORg8b9VevNNar5yJWlyTKVK2aM3bUqiBTt27DA+XvHggw8GPVkkAt645wY/HhbXTwM1atR45JFHYLu5evXqQYMGkVajS5cu1MATkyZNgk6OOOIIkqPKgw8+CONUeaiwDfA6rvmsBAFeK493pYSTi+RcEcNzOLc8/PDDuNiI/8dnMBEEP+oWPP/881jw/wmHI/Xr18djrVixglQMowCGDUBysIh9krf+seHtt5OYL3buxJFkFi0iTTFjx44l9xVTu3btBJ+DvHHPAXj5xKOPPkqye9atW0clA7/++isuH/Cdv++vsJP8PARXmVKlSsEgSXAPPrsQKCwsXLhwIWjefPNN1AS4cccnlFWsWJHkXBGzc3jTpk19+vQxfptpRYMGDQYMGECNXSIfpUKFCqRlkkWNGjVojQsK9tprL9IW07hxY6w67LDDSBUEmUwGjoU9n3vuuaRlGDdg/AAkB4vYJ7ntf80aL61CZd99s+O54gookssk7rvvPrRKNrxxzwE+95qO4PIBPp+3+uWXX0Inp556KsnR47333oMRnnfeeSQHQRgbdwD7JCFXRP0chjeFeF88BLZZ4H31n/Nv27ZtwoQJ8sMpLr/8cqqz4JNPPiFTjbvvvpsqmAQxd+5cWmCNJ598kioswNtRIfAubvz48Vu2bKE6BTZs2HDttdeKRzJB4njppZeojmE8gbEEkBwsuEnCP3VWrszaR+9HGhlI+zCwM8+EMnisT58+qE8PvHEPmxUrVoBvQ73lIi4fsHXrVlJ5Ai/9zf3nxOocf/zxMMIffviB5CAIaeP+n//8B/qEfSbJOSGip8HmzZvRxUC/fv1IGwQ9evTAbkuXLk2qYvbbbz+sAmCPRVomWfTq1YvWWMPblawXXnih433cZZo0aXLddddRY4YJAoqtkLYyHrZKf//tzl6FChXEMDJOV6vbkznuuGwnN95IcsrgjXvYfP/99+Dbk046ieRAyWQy+HE+MH78eNL6ALuKOMFezBPSxv3tt9+GPq+88kqSc0LkToN///vf6NyRI0eSKhwuvfRSPNCNN96IBWTw4MFkwSQLWmCNY489lrQME08olEPaynjYKqFxUL/p/OOPfwYg/vyRwbcBv/9OcprgjXvY4I3Sj4P3h0Ezf/58XDhg8eLFpPUH9vZZVMELldcH+ozkkDbur7/+OvSZ4w/mInQanH322ejWjRs3kip8/vzzTzwoYPO7ECa+iNMV+fjjj6mCYeIMBXRIWxm3W6XRo8Eyc8klJPrkpZfo0L16iXvAZ/98snx5tpPCQhLTBG/cw+bvv/8G39arV4/kgKhYsSKuWlN/3zjJwBYLOqxduzbJ0QPvtDg10Icih7Rxv+iii6BP2L6TnBMicRrgd0xAvn7mvGTJEhwAnHukYuLPQQcdhMsKFKby1ZpJMBTZIW1l3G6V4PwCy0AerjRgAB33xRez4uTJJMKff8qWDaafuMEb9xyAm+ygHqkrbmAQ7EYTePbZZ6HbK7Sfa0cT/PlssF9fhLRxxz5JyBX5Pw3wxh3nn38+yfnjyCOPhJG0bduWZCaebNiwQTuViCiEFsMEDsV3SK8ZYp+k0v+GDWCWCeSzxqZN6aDLlpEm2I37Aw9AP5kbbiAxNfDGPQfgzaP93ygMHzyEZDIZ0gYH9kxCVMHnJQU4/TA27nj3m9zfFD/Pi4e/t4CcQnK+mTp1arDryuSS0aNHZ8/LYr7//nuqYJjEQVEe0guw2Ccp9J/57besmf9Xr1Kl6IjyhfLBbtzh/QDsBo4+msTUwBv33IAe9nxxdufOnbEHIKTv//HXfbfddhvJUWXp0qUwzlq1apHsmzA27thh7h/Wls/TINg5wzuzQN6c4U2d9thjD5KZOFC7dm0MJ6BatWqkZZjkQuEe0lbGzVYps2RJ1qxdO5K9YXW4YDfuv/+e7efII0lMDbxxzw2wn/Hs5Lp162JbFYYOHUrN3PDpp59C2yhf3S5z2WWXwWiHDBlCshu2bdum+UkJauMS/Nw52HtWKpK306Bly5Yw5+XLl5PsFfkdKuD5cUsyEyZMgK5OOeUUkpmosmzZMlx35KabbqIKhkk6FPQhbWVwk4R/juCNIBs3JtEtixbhgTJ77kkamWA37k8+mT3QtdeSmBp4454z8C7pxvtNq/CbMh4+psRn1HgbWL444YQTYMwXX3wxyW74/fffyVm2rF69mhq4AT8rfO2110jOLfk5DfD2Rl27diXZPU2bNoUekC5duhx99NFYDmTjDuDdiLytKJMDBg8ejCuOROdqK4bJDRT6IW1l3G6VypXLWnq7u4B2lEzZskWNGpn81a5Nw4A/ofRM+fLZftIHb9xzCe7dgXzdb8MI3vykYcOGJMeHK664AkZetWpVkiOAtrYFCxcuJDnn5Oc0qFChAkybBPdMmzYNmsvPnmzfvr3mycA27njBzH777UcyExkqV66Maw00a9aMtAyTMugcCGkrI/ZJav1nf+4Jlt4unC1dusThVP68XRW5dWu2baw+cQwK3rjnHnh5Am+3atWK5PyB6/7000+THDdE9C5dupRUeeKee+7BkZCcJ/JweLwILNgLkQPfuAM+310wwfL111/jEiNPPvkkVTBMKqEzIaQchZsk/FPElbE6wV0qk6lbFzrJzJtHcprgjXteWLt2Lfr84YcfJlVuwXuzxOWidnvOO+88dCbJueWXX37Bo7/yyiukyh95cMGMGTNg8t5+WmFFGBv3Aw44ADokgckfnTp1wsUF4nV9HsOEB50SIeUo3CThnyLa7z4zNWqQGBRBbdyvvDI7vLPPJjFl8MY9j4hPnc4880xShcz27dvxiFWqVCFVUjj00ENxaj/99BOpQubJJ5/EI95+++2kyjd5OA3g/Qq4YPTo0SQHQRgb944dO0KHa9asITll7Nq168MPP7zttts6d+7ctm3bGjVq1KxZE/49/PDDQQP69957b/fu3WQdDrimCGzfScukkquuuopCQRl4m3fzzTdT+8RBkwxpK+NtqzRvHthngn3Y2d9/Fx19NLxcF119NWk8cMcd2YH9618kpg/euEeBqlWr4hLcc889pAoasRfq378/qZLIpEmTcJrVq1dfu3YtaQPlgw8+wEMAS5YsIW00yMNpMHv2bHBEsI/FCWPjvu+++0KHJKSArl27og8Fl1xyCezOFy5cuGrVqh3FwAsAaEAPtXg7JMGxxx5Lffnj6aefph41PvroI6pg0sQbb7yBl6shY8eOdftIwvXr18PGndoXFFSuXPmbb76huvhDswopR4l9ktv+v//eS6tQgf067Nq7dCExlfDGPTqsWLGiXLlyuBaFhYWwQaQKrwwfPhx7A/w//ile3H///TTzgoITTjiBtF7566+/mjdvTt0VFHz22WdUETHycxqgU0gIgjA27tghCQll6NChOE1g3LhxpPXKM888U6ZMGezN23eC+GsepHz58mF/os9EkAcffBADAF7Sgv0oBd5wli1bFjt/++23SRtbcCIAycGCmyT88wA2fOcdEvMIjuTDD0lMK7xxjybff/99gwYNaGE06tWrd8QRR9x+++1z5swho2I+//zzYcOGtW7dulKlSmStcfbZZ3t+5FOSuOuuu8gjxcAu/IILLpg8ebLOPwsWLHjooYe6dOmyzz77kGkx+brDoyvycxrgzRY3bdpEsm8C37hPnz4deuvduzfJyUJ8zXTQQQeRKmgg9eAhVN4PrF69Go2RPn36UAWTJkqXLg2rD/+G/YYN7xkFwGskqWIITgEgOVj8b5XwPjPw5/J7kqDI7Ldf9uhRuotcHuGNe1z4+++/f/zxx1tvvbVTp06VNSpUqAD/tmzZskePHvDaDUu5detWsmas2bVr119//fX222/37dsXnVlYWAjveaDQuXPnq666asaMGSFdZhM2+TkNIOwgfQT4S+fAN+7YGwkJ4sQTT8Spwd6FVGGyYcMGPNyhhx5KqpKMHDkSDZB5qbzhA4PXXP0r55cg77///nDcmD4mWTtjspAcLGKf5K//zAEHUCfhPL/dnAYN/I88YfDGnWESQ95Og//+97+QQa6//nqSXdK2JFWqVMGUtOeee5JKA95vUQM3dOvWDbr64osvSE4Et99+O7ooL4+EwEMPHDiQ5KKievXqoRKoXr06aZmUcfrpp0MAFAb7c0aX4PWm18btaZraqZOF5GAJdqs0ZAh2lTn+eNKEQOb112nAMXzKTNjwxp1hEkM+T4Pjjz8ekoiH28ts3LixlALQuYfLlY455hhoOHjwYJLjz+7du7PZuqDgk08+IVU+WLZsGQ5DxvM7NybuZDIZjIHff/+dVPlj5syZOBiS4wAOGCA5WMQ+Kdj+jzgC+8yUKlU0fTop/bBuXVGHDv8M9YcfSM+UhDfuDJMY8nwadO7cGfLIkUceSXK+wTvJROdunf754YcftFwdlXyHg7nooov4xzRpZsuWLRgJJEcDHJLbe9fkCxwtQHKw4CYJ/0Ig89FHRWXKiENk6tQpuvzyop9/pmor1q4tuvfe7K0hxdjgb9QoqmWs4Y07wySG/J8G77//fhSySaQ+/wsK/ByxQYMGJEeDVq1awaief/55kpmU4WHXvmbNGre/yoAz+oMPPrhP4+OPPyatE24HlkdwqADJwQLdir/wySxbVvTkk/RzUuu/TKVK2ecoff89NWOU4Y07wySGqJwGtWrVgoRyyCGHkJxb9thjDzh648aNSU4Ev/76K0wqwMvHzzrrrGzW1yhVqtSGDRuowj177703dPLVV1+RzKQJDCESbNE9dEklmPv370/WFixYsIBMzcA3Ffm95l4RnA5AcrCIfVJI/TO5hTfuDJMYonUaYFpp06YNyeGDv2otV64cyQkCnUmCb2rUqAG94S8HEG8//BVgVyQwqeGyyy6DdX/vvfdINuPcc8/VQixLgwYN4A0elh037mgG3HjjjaSSoLqCgr59+5LKjOuvvx5sHnjgAZKjCs4FIDlYcJOEf0z84Y07wySGKJ4GjRo1wvwyefJkUgXNI488godo27YtqZLFgAEDYHZPPPEEyf5AXwFy2efG/dNPP4VOTj31VJKZdACL7vg+GWyGDx9OQlHRl19+mQ04p427eMzqSy+9RCoDaAD8bXt3QrQhIargIAGSgwU3SfjHxB/euDNMYojuabB48WJKMwUFHTp0IK0PVq9efeCBB2KHFStW9LnvjDhBfZ4tLv2vVKkSalAE/DsQ+yGBSQFff/01rPjpp59OshoqG/e1a9eiDUAqM8RzDFq2bEkqM9q1awc2CxcuJDmS4EQAkoMFuhV/TAyBs+bKK69s2rQpRYkZUHvVVVd999131CaycDQyjEQ8ToOnnnoKn6qI1KxZc9iwYcuWLbO6Jfn27dt/+OGH888/v1q1atSmoKBs2bLTpk0ji0Szbt06mK//Hwx88cUX6LpTTjmFVNJ2wf/G/dhjj4V+/vzzT5KZpHPFFVfAin/22Wckq6GycReXtls96gv54IMP0KxChQqkMuOhhx4Cm+eee47kSIITAUgOFt4qxY2zzz6bAkID3nyOGzfu119/pWozoHbs2LGHHXYYtdE499xzqTo6cDQyjERcT4OHH3746KOP3mefffDhKTLly5dv0qTJ8ccfP3HiRLJOGQsXLgQ/nHXWWSR7Yvjw4ejP//3vf6TSQCXgf+N+4YUXQj+//PILyUzSOemkk2DFf/vtN5LVUNm4t27dGm1g+0IqM5YsWYJmpUuXJpUZb775JtjcfffdJEcSnAhAcrDwVikOyE+eHjFiBGn9MWzYMOqxoOC+++4jbX7haGQYCT4NEghsjCDnduvWjWT3HHTQQZi4V65cSapiUA/437j36dMH+lm8eDHJTNK58847YcUnTZpEshoqG3d8IgTQqVMnUpkhfudatmxZUpkxatQosHnrrbdIjiQ4EYDkYOGtUoRZsGABLj28/1y9ejVpg0Z+ZF6eryzlaGQYCT4NEgje0q5evXoku6RixYqYrEkuCVYB/lN58+bNoR/7nwkyCQNWvKHLJ9KrbNzHjBmDNgCpzBD3l6xZsyapzChTpox9P1EAJwKQHCzQrfhjIgNexAW88MILpAqfW2+9FQ/6+OOPkyrHcDQyjASfBskE7964e/dukpU5/PDDMUerI98AxBXQFnZIJDDpAGMmk8mQrIDKxh1AG4BkM8iioMD+2l8wiP6t3HEiAMnBIvZJIfXPuASfywHMnDmTVLnl5ZdfxgG4fRRaAHA0MowEnwbJ5PXXX4cM6+Ey9w0bNoywBm9xjQwdOhQ011577bp166ixG6655hroZOzYsSQz6eDtt9+GdT/66KNJVkBx496lSxc0q1KlCqlKIu6w8a9//YtUZjRr1gxs1q5dS3JUwbkAJAcLb5WiROXKlWGhzznnHJLzR9u2bWEkderUITk3cDTmHHhZv/HGG7UE44Jy5cpNmDCBumBCg0+DxFKpUiU4kQK/AhLPT8DPpTIeHnrPJAb8VgfeW5JsoGvXrm0kDjjgAIyWMmXKHHbYYaRt0+aWW26hBsUMGTIELZGrrrrqqaeeuummm/ALKGTMmDFkbca4cePApl+/fiRHGJwOQHKwiH0Sn6R5Zfv27bjK27ZtI1W+wd9QASTnAI7GnDBp0iRcWeTKK6+kCmX+/PNP+e5GVapU4eejhwGfBolF3IKd5IDAPgE/G3fsYceOHSQzKaNu3boQAMuWLSO5JBgejlj9DvXrr7/GJyLLHHHEEUuXLiULCyZOnAiW9jeUjA44L4DkYBH7pJD6ZxSAzXqIS+wD8eKydetWUoUKR2OYiDvIAfPmzSNtEOD3q8hrr71GWsY3fBokGciqeM6QHBCuLlA2gkNatGgRyUz6EB+NR+V+c0VF559/PoynWbNmJEcedCBAcrCIfVJI/TNO7Nq1C9cXCqTyyubNmw855BDsTYf9ZWP2YA8khApHYzjgCgJh3yJi9uzZeKAGDRqQivEBnwbJB0+YP/74g+T8IT/eUpC3OxUwOefqq6+mVdfAz8WrVatG1fkDxxOvUMQxAyQHC2+V8g3e3Qv23CR74sgjj8QgAUqXLv3cc88tX7585cqVv/3227hx4/DSeTJ1z3fffQfNmzZtSnJ4cDQGivgm58QTTyRVrqhduzYct3z58iQznuDTIBV06NABzpZ99tmH5Hxw1FFHwRhElv/hhx+ymUOia9euWMUkjH79+tEaa0DupgoNVA4dOpTk3AIvXXD0UqVKkRwf0G8AycHCW6W88t5778HKHnfccSS7R1zNAtxzzz2kDZr99tsP+g/9UyGOxuBo2LAhLFku3m5ZU6FCBRhD9+7dSWZcwqdBWhBfvF5xxRWkyhX4OBvA9ILI7du3N27cGA2QmjVr+v92mMk7vXv3phXVqFatGqw11ZXkr7/+Qptc/iq0U6dOeFCfH2rmCxw8QHKw8FYpr+y5556wsn5ubYSxAcydO5dUIbBq1So4RN26dUkOCY7GIFi0aBGGBMl5Zdq0adEZTOxgr6WL3bt349mSm0/f8VN2QPESukGDBqG94MMPP6Q6Jib06tWLFk8D3pVRhRMQnGXLlsVW4d0r+pdffsFDROESHT/gLACSgwU3SfjH5BxY1nLlypHgHhHke+yxB6lCAw9EQkhwNPrmvvvug2WK1DUqYjeShycDxBw+DVIKXjwDnH766aQKjoEDB2LnBx10EKlcMnXqVOxBcPnll1MdE0lOPfVUWiqNli1bUoV7XnvtNeoluC+IzjnnHOqxoGDGjBmkjTM0mZC2MrxVyiuwrFWrViXBPRdeeCHGxkX/z959gElNrX0A311Yll6ldxEFFKSLiIoFRCxg79eCCortWhD8FHsDvdjhYseCBRFRrl2sgKKgoqKgIqhU6QhLW7538/43ZpOZ2ckkmcnM/H/PPpD3nJOTzOTk5MxMynnn3XTTTTrtdP7552MGD7QqBAFha/TmxRdflG0U/3coyaTtx/uD2LMKd4Nsd9RRR+meI8444wykuidHCNRi3HoPqZ6tXbu2YsWKqNfQpk0b5FEIHHbYYdgwBt+3zlVXXYWqDT179izzAR87d+4cO3bsfvvth3kMt9xyC7IzBV5YQEMZDpVSSjarl4H7/vvvr21D9e/f/6uvvkLerl3fffed9exE2cWQkRCtBEFA2Bo9kGOol2307rvv6uzRPPTQQyiaKK3H493qsgp3A4IdO3Y89thj5cqV071I5ebm1q5dW3p5cdZZZ+mEpEg6ShhkrnvvvTfo+7L37dsXyzPk5+f/8ssvyKPk6ty5MzaDwcv36678+eefF1xwgXyWy8vLw7JLk6ZYt25dGYssX74c82QovOCAhjLmOCmg+ikm2axezmo46KCDtG3EuLx19uzZWkasXr0aqe5pDQgCwtbogXaV0a4vis085+qJJ55AUok77rhDs0T58uWRmhB9pBfvFBk/7gYUr/A8Am3cuHHaX5jCczvwzGb7Ji9p43VywjYIaCjDoVJK6cWpCY+n5cOtto0999wTSZFoGSGDeCS5tGnTJpmdF6eG1uuvvy4bqF+/foh99emnnxrNp5jHJ/vqg955snucuBtQGpNP6rbv/qM9TZO86NatG95fw2GHHYYMSh1sjICGMhwqpdRbb70lW3bAgAGIXdq4caO2DRFtRGW9X2TCt69p27atzB74r1tsjYnS4yMCv82cOdNoPsWQlKhnnnlGKrn22msRU0zcDSgTyEGoffv22oOoGjVqpOlt/sKjXbt2eDcNhxxyCDIoBLBVAjoq6yBJ/ygV9A5LCXdi1ps7IcnCOmpP+Lr/H374QWZv2bIl4uCwNSZKNzECX1mfpuf9m3K9XXXt2rURU0zcDSjTDBs2THsT07Rp05BHZZEjevPmzfHGGfj9ejhh8wQ0lDHHSQHVT2Uxn7yB2D1nT6gPvrFauXIlSrunNSAIlNkUk7O4DOLLNrLe5suqf//+GzZsQCHPtE4EFBPfJspYs2bN0r7AdPbZZyOPStu5c6c+jNo0cOBA5FEoYTsFdKjTQZL+UYqsX7/el018//33d+3atXbt2rVq1ercufNNN930559/Ii8h5hf2iV3y6BpbY6J0MyFIlGzuJwzjxo278sorDzzwQK3WNGnSJBT1QOrJy8tDQDFxN6DMJ0cX26i0cePG0hkhO3i//vrrc889d+GFF3bp0qVFixY1DFWrVpWDqIyP77zzzhTeWbxly5Z4UwxnnnkmMijcsMECGsqY46SA6qf4bNu2TbdyeE78++OPP3SVECcBW2OiAj3HXZgHVo+Pdnr//felEn5bFCfuBpRdTj75ZO1oTL7fLeeTTz6RDwao3dCmTZvbbrtNFrR8+fItW7ZsN+zYsWPFihULFix45ZVXZLiMoiVOOeUUVBeMhg0bYkmGiy66CBmUJrDlAjoqm+OkII/6FCcdfg0aNAhx6hxyyCGyJjVr1kScHGyNibr66qtlewV617XiPsjw9ddfI8m9Pn36SA2ffvopYoqJuwFlqUmTJml3Yxo5ciTy3Fu7dm1+fr7WU6dOnXXr1iEjIUVFRVdeeaXWJsaMGYMMbzZv3mw7yfWcc85BHqUbbMKAhjIcKoWMedv1OXPmICm59EY3wsv4LEFsjYkyT2pC7DezfuHxaQCVK1dGQGXhbkDZTrobvYmsqUOHDsiLQ40aNXSu5557Dkl+a9q0qS7i448/RpIbmzZtqlChgtagLrvsMuRR2sK2DOiQbI6TAjvkx7B06dKFCxfOM3z33XfLli2Tz5zIy27mg4RlGI2k4D3yyCO60HHjxiEpyVLaGtPdf//7X9l2id1jQLf7lVdeGfEi5hNOOEELCC+Hv+rVq0sNSbpeIiNwNyD6xwEHHKDdkCpXrtzvv/+OvNJkMKFljjjiCCQFbP78+brEM844A0kxbdu2rUqVKjqL4l1yMwk2akBDmaQMlWbMmGF7pJdq27Zt3xKyf+25554VK1ZEXon8/PzgPiqHnLxv+iZUrlx5y5YtSPXbqlWrdCkiBd+yWyWlNWaw1q1by0Z88MEHEcft0Ucf1QYQw4UXXojSCdGHcN99992IKQ7cDYgiuOuuu7RXMj3++OPIKxkzXX755YiT6O+//9aljx07FkmlFRUV6RcYpjvvvBN5lEGwdQMaygQ2VHrppZew3sZDzidPnowMl3766adjjjkGFeXknHDCCcjIJsOHD8fr9+9j+SWXXIIac3JGjRqF1NQKrDVmD73s6qabbkIcDvvss08I1yr8uBsQxfLdd9/l5eUZR7Fi+h121apVkZ0ib775pq4PYuOEH00x3XvvvcijTITNHNBQxhwn+VT/tGnTsLo5Od9//z1S/bPvvvtq5UceeSSSssmaNWsOPvhgfQfUAQcc8PzzzyM7uqefftr2o4d8HArdiUl+t8bs0alTJ2zXnJwrrrhC/t19992Rl2q6Vq+//jpiiht3A6J4aUfz7rvvIk41XR8bfr+eJbC9AxrK+DdUMp+/+8033yApMDt27NCTanJzc3fu3InU7LNt27Z58+b1799f3/loypUrd+KJJ/7000/yvmHOcPKvNWaDxYsX225C0LJlSz2lau3atZry66+/auGUePnll3U1knlT5kzC3YAoLtrRrF+/HnE4mJfVPvnkk0ii7KDbXSD2lx9Dpa5du8rq5efnJ//wfM455+ibk83D98zhR2vMeM7TO4cNG4a80gYPHqwFgrtAIhrzSq1XXnkFSeQedwOistWpU0f6Gu/PQLn44ou123KaPn06Crmkd2TfuHEjYsoO2mwEYn9Zh0r84194/shix44denGnqVy5cnH+tGVeIpLwoceVW265RRcX7eosih93A6IyDBkyRLobL5e9m48/VFdeeSUyDK+//nqrVq2kX0PsnlaLgLKDbnSB2F/mOIl//AvVH1m+tza1adMGeS59/vnnqCInJ4gHeD/99NNaeW5u7vbt25FK3nA3ICqD9jsI3HvllVe0hoKCAiT5Te/U+5///AcxZQFtVAJxOOgqyWgAcTjoWi1duhQxURqSHl5bssnHJ3K89957qDQnp3nz5l4eFGDe+F/k5eVFu6UyJYwDd6JYHnjgAel9vPy6p/2XQByMJCyCQkW3uEAcApUqVZL1WbJkCeK4rVq16o+4YR6XcnNzZd34nR+J+fPnn3XWWTVr1jR2oLI1btx48ODB0koxf3L16tUL61Hio48+Ql4wPv3007333hsLK1GvXr2DDz74DMPo0aPl39NOO6179+62C2HFwIEDf/75Z9RFAeCRniiW9u3bS0+0du1axC6deOKJ2pc9++yzSApGtWrVZCkIKAtouxKIU23AgAGyMgl8xJ03b56+kDj169cPc7ok8+bl5SGgLGO9MaJ8ips8eXL8A/Fly5ZJw8bMhgMPPBB5wVi9erXtcRzyMWPDhg3IToV169b9+OOPn3/++YwZM8aMGSP/zpkzZ8GCBXyqcfLxSE8Ui3aaCNyrVauW1nD55ZfrREQXXHABZkiUPl8j7Ld1I/9oyxGIU0oO6rIm+fn5iP22cuVKfbEi4Ub+2GOPyexDhgxBTJnOevqHj0/5KSoqGjZsmFYrHwUXL16MDM/GjRun1Zo8PpeUMlJSOn05tPCPf+n5V9foPbc50uP8s/o/R6787Y7MYrYsV3/Fd71xJPIv7H8eGBu8GOKUatWqlaxJwuexxLZz5059pWLFihVITYieMIOAMpf51Lx58+YhKRgTJ07UBe2xxx5Ickk+BvTs2VMrUdJKk3OnF0pTHLjzj3+x/k4wetJvHelx/hU/Z9Uwy5Fl/h2FIjkdHVnx/+UbNdgS+Rf2Pw+MDV4McerIyENWI6CzULRy5f18s2OPPVbqee+99xBTZjFbS+vWrZGULHrGfPx3IFi0aJGuqqlJkybII4opuQN3onQza5YMuXP69++P2CU5fminfO+99yLJ4cknn9QyjRs3RpJLK1askNmbNWuGmMLM7A+9dYnaZgTi1Fm2bJmsxr777ovYV/oaxfDhw5HkwYwZM6Sqk08+GTFlkAYNGsjGrV+/PuJU0OuzDzjgAMQO5u0RTWeffTbyiOLDgTtRGbR7ReDSV199pbMLJDnUravn4yR+FqaeqJDA3TwoBcz+MNFGpbTNCMSps3DhQlmNgw8+GLF/zOvzOnXqhCRv9DNGly5dEFNGWLx4sbaThO8i4KOIK9OvXz9NNL322mvII3IpKZ2+H0cpolRZs2aN9LM1atRA7NIJJ+jpNsWQVML6YKaOHTsi1aUpU6bI7N27d0dMIWf2h966RG02AnHq6A8+7dq1Q+yTtm3b6gv08ZrXTz75RCocNGgQYkp/o0ePlm3aoEEDxOFgtNyc2rVr64QqKChYvnw5ShAligN3KiZ9X8uWLdG7xGGvvfZ6+umnMXMW0GND165dEbv0008/6fsWkZeTg1evXi01VKlSBTGFn9kfeusStfEIxCnl+5pccMEFWme5cuWQ5Idu3bpJnfPnz0dMae7aa6+VDRrQaVoeNWnSxGjCOQMGDEASkR84cM9S06ZN0xssiPLly1944YWubrJWWFh4+OGH6+xChp4yNkVehrr11lvllbZv3x6xBzt37sSUN99++62+/4gpLZj9obcNp5teIE4p+Uwra7Jw4ULE3tx888360kRRURFS/aB1IqA09/PPP8vWbNGiBWL33n//fW0SER1//PEolyg9yG7atAkxkR+S0oX5cZQiX+hDUkTjxo1Xr16NVM8WLFhgfgyQAS5SM475xTnilDrvvPNkTZo2bYqY0oXZH3prSNoUBeJU82tl9PpR5e+zKkeMGCF1jh49GjGlOW0kCFzasmWLzi6cpykOHDgQeTk5Xm7Tbp4MiZjID0lpT9Jq9Y9SRE+oEPXq1UNSMAoLC3VBAkkZR1/dpZdeijjpNm3apOswd+5cJFEaMftDb/uItgGBONVuv/12WRmP+4X1QUv+ntCyfft2qbNatWqIKc1ddtllskHHjRuH2CWjiRWLdpHokiVLUMLbLqZflj311FOIiTxLSqfvx1GKEmPeLPbhhx9GUlKYj/rfunUrkjKIXq4qJkyYgKSkKCoq0l82jjrqKCRR2jH7Q29dorZAgTgEWrRoIeszefJkxC5ZvwS95557kOqHzZs3o14Db8CXAXRTInDJ+vkQSZGYz72+4447kJQQqaFy5coIiDxLSqevh6gwHWCyhHY6N9xwA+KkO/TQQ2UFqlevjjizrFq1St/hJNzQ4LnnntNlySciJFGaMvtDb12itgeBOByaNWsmq5TCPsfJHLXLdP369XVaPfnkk1qG0o5svoR/PzF/ghZIiuT888/XMp07d0ZSQrQSBESeJaUxSZPVP0qW559/Pjydha5JQI9DD4O+ffvqa9xrr722bduGVD+MGjVKaxbr1q1DKkXy9ddff/rpp68b3njjje+++87Hqzj8ZPaH3nZPNItw7ONWekOY2rVrI06pO++8U1amYsWKiA3WsyDUihUrkEfpYOfOnbLV6tati9i9pk2b6qbPzc2NdgG0+YQNj8801Z9JERB5lpTG5MdRiuKn48jjjjsOcQhUq1ZNVinG00Mzwz333FPczRvq1av3yCOPICNuv/7660EHHYQqcnL23ntv3pHA5ttvv+3QoQPeoBLlypUbOHDgddddd6PhpptuOvrooxs1aoTsEpUqVbr55ptRUaqY/aG3LhEvKZT9qp5QLhI+bcY7GdvpgGn8+PFIcpDPeLqeqmbNmn7d8YmCJturVq1aCBKiFyvHw+Pzv7QSBESeceCeafTXvWHDhiEODX265wsvvIA4061du1Y+O+Xn5xuddrzkUDR79mxUQSXmzZuXl5enb5EMxxO+z8PGjRsvueQSrUek5lIBsz/01iXiNYS4X33qqad0DT/99FMkJYV+HSuaN2+OpLKceuqpOos69thjkUFhpVsKgR+++OKLmTNnIjCcddZZupSRI0ciKSFSQ4UKFRAQecaBe0aZPn269BEJnJBnfkMWpw8++ABzulGpUiWZd+nSpYiJYvr111+1vZUrV27BggVI9U+PHj20/qRerWj2h966RF1zgTisJkyYoOuZhMszPvzwQ11Wwk/ksT2HjjcDCa1evXrJBgrua46ioiJtAwJJCdHTVk8++WTERJ5x4J5RvPcyMfz+++9av0CSex5npyxx5ZVXalN58803kRQkPZXLx0frx6Kdof55oO+PQBx65j06fB/EvPDCC1qz8OXbfevFiyrjHzCXdjZu3CjbJbh9tly5crrp58yZg6SElC9fXipx9XxDotiS0un7cZSiMl1zzTXSQTzxxBOI/WZ0YsW89EEnnXSS1DBlyhTERKWNGzdOm9mGDRuQlCx9+vSR5VatWhVxQMz+0FuXqO+SQJw+zMfAiU6dOn300UfIiNuWLVusJ7fI56558+Yhz1evvfYalmEIyRW3pE477TTZKImdF7p8+fJo16TqY4CVFENqQuQzqlQyatQoxER+4MA9c2hHg8BX1h8NPT7VfMWKFVJJ9+7dERNZaBv79ttvEaeCnkw/ZswYxL4z+0Nve6u+VwJxepo5c2bDhg3xStwYP3789u3bUUvwLr74YizYcOihhyKDUsR6Ef8333yD1LjZrmpw+vrrr1E0UXpPsLZt2yIm8gkH7plDuxsEvtKaxcSJE5HkgVaFgMjw4osvSqtI0skqZdHTsj3esyIqsz/0thcYu1ExxJQUeqN60wMPPIAMCt7atWv1rDZT7dq1deKVV15BIZeKioo2Gv7++28k+UHvQ9qqVSvERP5JSqfvx1GKyqT9FwL/VK5cWWseOnQokrzR2hAQ7do1fPhwaRKh+h1GhgiySoF8kDD7Q297gbEbFUNMSbR169YKFSpgAxh4EnxwXnrpJbzLJU455RTkGTp27CiJBx54IOJU22uvvWR9hgwZgpjIV0np9P04SlGZjA7N5zfZ/D6jWbNmSPJMaitfvjwCynr6UNg+ffogTsjIkSMbNmyo15PJvzJ9zTXXIC9Rf/75Z3HT973jMvtDbzXrugnElAr/+9//sBkMBQUFmzdvRh55c8QRR+BtLTFt2jTkOcyfP1/L/PXXX0hKhblz5+pqmFq1asWHA5C/ktLp+3GUojJpN4HAD3qtnvDxnAEdDHkcpVHGMO9Ditgls4kK+TTYsmXLk046yfbcpa1bt6K0e3q7knPPPRexL8z+0Nveqq9OIKaUsp0Ef9BBByGD3Pj9999tz75o0qRJ/LdDOOGEE3Su5N/FZdWqVbroa6+9VlN69uypKSr+pwoQxZaUTt+PoxSV6fHHH5fe4a677kLszZAhQ7S7EUjyQ6dOnaTC7777DjFlN71tdmJfklWsWNFonlEHSZor1q1bhyT39CaGCHxh9ofeqtWXJhBTOOy7777YMIZbb70VGRSdebN/0znnnIM898zbFr344otICtLtt9+ui4t2f5sDDjhAC6jWrVsjgyghSen0/ThKUWx6eNB+QVO8ePnll7Uq4eNXF3///bfWiZiym7aHxK7fmjVrlrYlgSSHzz77TAtUqVIFSe59/fXXUsMRRxyB2DvtDPXPA31pAjGFyZo1a7B5SqT2XknhdNRRR+HdKTF16lTkefbDDz+g0pyc5557Dqn+0ctPVZx3jdx///0xg4EjeEpMUjp9P45S5PTll1/qs0hNerRo1KgRSiTk888/19rExo0bkeoHVGpo3LgxUilbjRkzRlrCww8/jNiN8ePHa0MSSIoEJbyd+SqzFxQUIPDO7A+9dYn6ugRiCiXz06OqVq0aMrJVYWFhnTp18HYY8vPzV61ahewA/Pzzz1hSTk7lypVvvPFGZLh3+eWXmw9mkj5hxYoVyHBJr6Y1NW3aFBlEceDAPc388ccftlMAxXXXXYfsXbseeOABSenUqRNi97RO8eGHHyLJD1WrVpU6N2zYYJ6GaJo1axYKUTbp27evbP1ff/0VsUvaeMTixYuR5GDe+sPLTT+0BgTemf2htzp1rQRiCjfzYcCqQ4cOyPBVUVHRK6+80rhxY30cQTxkJNqiRYv3338fVQRj2rRpWF6JI488EnlJtGnTpuOOO8725khYpUqV2gZZK52QlNzcXJQwyJF36NCh/t410nZiVaNGjfiMVSoTB+7pwfqwCSXDX+Q5PPHEE1Kgfv36iENA1/n7779HbHjjjTc03TR48GDkURbo1auXbPSVK1cidmnBggXabJQccR8xjBo1ynZ9qvDy4DCtAYF3Zn/orU5dK4GY0sQ+++yDLWe46aabkJGoefPmmV8Diy5duixbtgx58ZGe2TqCLF++/C+//II8b/RR2VZBnLXiozlz5mAquWznwdeoUWPLli3IIyqNA/fwOvPMM7ETl9hjjz3Wr1+P7JhWr16ts2zatAlJKbJo0SJdkxhfJPz9998NGjTQYqpp06bRnkdNGUOGLLKtJ0+ejDgh27Ztcw4OmjVrpneOkyGIpqxdu1bLJ0Bm9/MGpmZ/6K1L1NclEFNakf7NvLpazZgxA3nxsZ5j/frrryPVD1Ib6s3Jefrpp5EatxUrVtheWu3atf39ojqD9e7dG++aoVatWtLFIY/IwIF7uIwbNw77a4kKFSq4/frE1Lx5c6khhXeh0mGTq/sDXHbZZcbr/scbb7yBPMosGzdulO27zz77IPabeSN2L1d96HUjXbp0Qeyd2R966xL1pQnElJ5mzpyJDVki9p3gd+7ciXI5OXF+j5OwhQsX6oLieRLZK6+8ooVNRx99NPLIPdtt7D1eukaZhAP31LNeDGp67bXXkO2ZVrj33nsjTgpdaJ06dRC7N2fOHK3EdOyxxyKPMkX16tVlywb0zBptNgJxQpo2beqxBjuzP/RWrb40gZjS3K233ootanBep2Teleuoo45CUrJ07dpVF+38IfS0007TLNNTTz2FPPKDbQTv48MQvfvuu+/efffde0tMmDDh7bff5q8rQUtKp+/HUSrD/PHHH7Yr64WXq93LVK9ePV3KF198gaQA/Pe//9Wl9OrVC0l+aN++vVarKleunPCJ0RQqixcvlg0qw3fEPpk6dao2FfHbb78h1T19DmKPHj0Q+8LsD711ifrqBGLKFJ07d8amNQwdOlQSq1SpItNe7jrgXatWrWQddtttN5nWD7RWixYt0mIUENtZNMm8F82OHTsOP/xwLNiiW7duZ5111n333fcfw2233SYf5GrUqIHsErVq1eIDDXyUcQP3d9/d1bPnP0ss869z513uz+FLmPm9hem4445DXlLMnj0bC/b2hAsb6wMsE75DVjxGjRqFxZR4/PHHkUdpSE9zF9L1Iylu5h1jlC0UcghB0URpPQj8Yu1/PNB1E4gps/z999+2Jr19+3bkpc62bduwNobu3bvzef7JZ/sOvmbNmkFshc2bN5tD8Nzc3AkTJiR8tv3q1auPPPJIrUqceuqpyKCEpP/AffXqXXXqmIso6thx17Jlu+K/rnHNmqJ+/czZd1WqtGvePGT5ZNCgQWitJRo1ahTQuQHxk2PA8ccfjxUybkl7ySWXrFmzBtnRySfvJUuWDBw40LzsTwT6W0FEv/32m+22mPvvvz+vZ00LX375pbXxmO655x6UiNvWrVsnT57cv3//OgY5Ntx7771+XZCta4XAR2Zv461yXT2BmDLRxRdfLJt4r732QhwO+vyQ2267DTGliG0EL5/0vJ+mIoMT8z6YCXyfUiY5TO++++5a/9lnn41UciNtB+5vv/1PtW++iUTvlizZVbUqqh05EonuPfPMM9ouTfLJ9YcffkB2KD322GNdu3a13lYsIhkuH3jggaG6YLRLly5YuRJ+3cuM/LJgwQLnjaWtP56ed955ktKtWzfEKWXeCgmxv7R70T8PdA0FYso4Omrv168fYg+2bdu2dOnSZcuW+XWSoT4E9IknnkBMKSWNxOgMoHLlygl8fzFp0iSdXRoekgKm1zgJ3jnHlfQbuBfVrYvaEn1uS1x27HC72u+99542QasXX3wR2RS8+++/H+97iTFjxiCPUqFnz57YEiVinKD122+/aRnEKaLns/l5Gxkbs2Px9kr1vRKIKbN88803snF33313xO5NmDBBW0g0deVg6oF+785T20NlwIABunFVlSpVCgsLkRfd9OnTtXygl8BFY97DHjGVJSnvlB9HqWIFBcWVJPlHwzPPxMpHOg1DPtQ2adJE25zp+uuvRzaliF7yaCWjMeRRwJxPxo3/+QOiW7duMkvNmjURJ5F8zNYVDvYue9qf6J8HuqoCMWUWjxtXZxcRb0JifdwPktwrKiryWAMF58QTT9Sto+pEv8ObFnjwwQcRp4ie+3rSSSchpuiSssvJjq1/icJp6NWqIU66okMOkRUoqlJFpjdv3mx79J048MADeYJ1ONlOpMnLy/v999+RRz555JFH8P6WkJG3lx/la9WqJZWUK1cuORfkDRs2TFc7Geezmf2hhy5R6AoLxJRBLrroItmy48ePR+zSvHnztG0IJDno9+XCy8+SejLP7bffjpjC59xzz9UNraRnNscqH330kaRIN6thyn322We6kogpiqS8QXqISnhj6LwpH2xJWzfWpEndutq22rRpw4cSpxHn4HL06NHIC4d33333xBNPNE/7c6pQocJRRx01derUMNzJ4YMPPsBqWUyZMgXZfrjgggu02mOOOQZJvpI3XOsvKChAUhJoh6Z/HuiaC8SUQbxvWa1BSHeBJIu//voL2Z7bj9QQz+OZKOX+9a9/6RZXej1bam8w6rRjxw5dva1btyKJHJLS6eshKoEOYuHCBGcMjl66OnEiQkpDv//+u+2ONJ07d0ZeEq1bt65Dhw5YA4N0rB999NHGjRtRwkH6slmzZl1++eWYwVC/fv3vvvsOJQK2dOlSWRwWXOLuu+9GdmBOOukkLCwn57///S9SE7Js2TK9HbVKwSXj2qd57tnwArxVQuEkm7VSpUoIEmJ9wKowb9m0adMm8zJx6X800QutCgGlg1NOOaVt27ay1Ro2bIikOIwaNapPnz76VIE4rVy5sn///rKUypUrV69eXaaXL1+OvJjYqGJLylujhyi3m0E2cAJzJUG9esVr9dZbCCmdWW8uK8qXL//9998jLxhnnXUWFpaT8+mnnyLVg4ULF5pH4u7duyPVV7YHYIkBAwak5Nww+bTTt29frIShdu3asnq33377l19+iUKGJUuWPPvss3KoaNy4MYoaZDyUkguw/qHdmufODa/HWyUUTrJZa9SogcAb5zUn0l386t+tHfTWrggoHcjoWTZZnI+9cz58BhnRLViwAEVLOO9WF/tESum9pUzFihURU2lJ2d/0EOV2387JKUq4Ozj++H8WGvFv4UKUTEyFCsWVrF2LkNLfq6++qh2KacSIEcjzg4zRtVpXX3K4dfDBB+tSxo4di6REnX322VqVqUWLFsgLmS1btjz22GPnnHNOO0PLli3l35NOOunaa6+dPXs2CoWHtSPyAFvFWyUUTrJZqxiXVHmxcePGgoICbSTi/PPPl/0CgWHw4MEo6oFWhYDSQTybTHp7LSYOPfRQSUFQ1ozmFyu5ublIspBPjJorbr75ZqRGcuqpp0qZhC/zyGxJ2d9kS+tf3IpkiCDlV69G7EbRk08Wz5ufv+v995FUoujUU/9ZGY8XL2sllHEKCwttZ4M0b97cyznld9xxh9bz2WefISlgq1at0iX26dMHSfF56KGHdEZT1apVFyxYgGzyhdkFeetAsIXYC2Uij1t269atWoO44oorkGoxdOhQZOfkXHfddUhNiNRQvnx5BBR6n3zyiWyyHj16II5CylgHzdYWhaRIzDvBx/iyfOHChVpGxHgSpd6zKDwXzoZKUjp9PUTF3w2tWyeFiwK6h4wMntyuT0TyGVRq+PBDhJSJ9KlAVu87Pg3GYD7HJyW3OjYfTv78888jKZL33nvPfE6eKVQP2Mo0Zv/jrQvCpvJWCYXTMcccI1v27bffRuyGeZdGIYMkpDoUFhaiUE7Ob7/9hlSXHnvsMZn9rLPOQkyhp03L7U+RcQ7czUNJ7G/KZVivxe666y4kRaIXI/3555+IqURSOn23R6n//Ke48HPPIfTX+vWu1yeiX34pruGIIxBSRps1a5Z2NKbTTjsNeVHoDQ1PPvlkxCmiD2HJy8tDbFizZo2untVID48KJhfM/sdbF4TN5q0SCifz3hqI3TA/sQskRYFCOTlLly5Fkkt6dQ1vhZxG6tSpI5vM7Q3x4hy4o0ROzuqYp0uYF03Ffr7YJZdcImWmTZuGmEokpdOXLa1/8Snq1Km48F9/IfZXlSq6MkXen6np5kVRxmjatKl2OqpSpUoyDkaewbyfQ3juFqrrY3ssttCTFymptN/w3HtgE7ILylA333yzbNwTTzwRsRv6raqK+EDAl19+Gdk5Oeeddx5SXZLeQ2YfN24cYkoHutERxC2egbv1px4kRWHeEyL2hRz33nuvlHnkkUcQU4mkdPqyFfUvPkV5efEXdqdcOV2TnX5clOPqRVHm0e8DrPQu5jqtZcJDvxurW7du27ZtY5xZSIHTfsNz76HNTCCmjKP37Hv99dcRu9SsWTNtIdH07t0bRd0bMWKE1HDYYYchpjTRvHlz2XC2L5vK5O/A3byAtVWrVkiK5MILL5Qy06dPR0wlktLp6yEq7gNMUffuxYXju99nvL799p/VWLcOiR7l5BRVqIBpymJffPGFdkOmbdu2Ic8l51OirPbdd1+US4hWgoBSxeyIvG0L3ZoCMWWiKlWqyCa+4YYbEIeDPoyzffv2iCl96PdNbp+U5/ZUmU8++QRJkVSrVk2Lxb6xjN5pdMeOHYipRFI6fbdHqSeeKC7s122AZKubK3DBBUj0rOiHH4or9HhrGsosei7K5MmTEbth/brC+ev23XffjbycnI8++gipLv3+++8yu/fbzJEnZnckfx5oYxCIKUPpffHq1auHONX0JOlbbrkFMaWVzZs3y+Zze7eWOAfu5v1G99lnHyQ5mNdviA0bNiDVQQ+ItWrVQkwWoRy4b9vmrnw0RUX/LLprVyT6pKhdu+Jqeac8KuHlejJh3oI92t3ZzLF7gwYNkORejRo1pIY//vgDMSWf2Skl2lSUNgaBmDLXxo0bdVt//PHHSEqFF198UVcDMaWnRo0ayUa0PbEutjgH7uvWrUOhnJwPPvgAqaUhu6ybEelNmWNf5Jq1krIH6iHKzd5e1LlzcfkZMxC7V5Sbi4UG8bybTZvcviLKeE899ZR0NA8//DBil66++mqjN4v6jbj5RIxHH30USe7NnTtXajj77LMRU/Jp1+G5A9HGIBBTprvnnnt0iyf/g7f2G+Kll15CEqUt89fdGGehyFFmuMWwYcN0FvF///d/SB0+/KqrrsIMJTZs2IByhn/9618//fTT+vXrn3vuuQYNGiC1rCs3/vvf/0qZMm/dlrVCOnAvprMkcJ+p/fb7Z4m9e+/af/+ofwnfzFEr374dIdGuXV26dJG+ZrmHazMuuugio08rZj1/9Mknn0RqWU+KLpN22XyUdCqZvZP8eaDtQSCm7KC32hCDBg1CUpD69++vi3vxxReRROlv+/btulkRO2huPDBDaTJSN2/WblW+fPnFixejUBR6y6NKlSohJoekdPp6iErgAJPYXLvv/s8Sy/xLgN5QsqzGR9mmXLly0t0g8ODbb7/VO8BY7S+fM32iFSKg5NOeR/880O0oEFM2kYGXOTC68MILkeqf4447TiuvWbOml+dGU2gtXbpUN3FRmG7Dr0/v3m233RBTJEnp9BM+SpkPSwoPY32KvvsOIVEJvS5nvTRaD6z3Vy5fvrz1yeTClyt1tCoElHzap+mfB7odBWLKVnvuuSeaQk7O4Ycf/uuvvyLDjZ9++qlXr16oJSenq99XhVE46eaeNGkS4pRq3LixrMypp56KmKJISqfv8Sil88Z8bHsyLFqENeFT4iiSW2+9VTqdV199FbFL5gmswnmf9UWLFiEvJ6dOnTpIde/nn3+WGvr27YuYkk+7Ef3zQBuDQEy0a9eDDz6oV/VF1KRJE0w5NG/e/Omnn0YtlE2GDx+ubSCFX73rE74FYoopHQbuu3YVPfZY8ey5uYiTT0+PGTAAIZHDihUrpN9J7K5t7777rnZbse/SpWVE7OvxYzj66KNldlkcYko+sz+UPw+0JQjERGVZ59czTCjj6Oe9goICxMny6quvaj/2wgsvIInKkh4Dd1W0776oZ+tWJAWvqHJlWWJR0lszpaPddttNOqDCwkLEcdNv60V+fj6SIjEfhThs2DAkuaSzI6CU0E5M/zzQTSkQExF50717d+1VknAtcqdOnXRZ77//PpIoPuk0cIeTT0Ztd9+NlCC8+64upWjPPZFCVJadO3dqT4TYDb22VTnv1vz1118jz8OpMvq8OrcPuyafafelfx5oYxCIiYj8sGDBAnQukZ4G6FGrVq205iZNmiCJXErDgbvatElGOqi2f38kelY0aNA/a/vDD0glipueMJOb0GldMq/zfjJWnTt3RlH39KEbzz77LGJKFbOHkT8PtEkIxEREvtqwYYP5M6+Qg8jPP//s6i5DhYWF9957b+XKlVEFn7nrh7QduFvdcYe5iKKCgqIzz9wV572uCwuLLr98V/Xq/8x+4omSiFyihHz77bfSPckQHHEIVK1aVVZp3LhxiCmFSnqb4j8PjINgMcREREH67LPPWrdunZubi64nDjVr1jz22GMxP/kkIwbuNi+8sKt9+13ly/+z3Eh/xY9W3XPPorFjMReRr7TbSv4zDm3Mh+TxDJmwsHZEHuhmFYiJiCgLZOLAnSgcjjzySBlX1a9fH3HS6Y2ZGzZsiJjCwOwPvXWJxqC9GGIiIsoCHLgTBUtHV3vssQfipNDbPgrEFB5mf+ht6+j2FYiJiCgLcOBOlAx6p0jx008/ISkAGzdu1LvT5OXlhepB1vQPsz/01iVqcxKIiYgoC3DgTpQ8M2bMwGjL16dMf/DBB6g0J+e+++5DKoWT2R966xKxvdmvEhFlEw7ciVJgzZo1++23H0ZeOTlt27Z19dy4119//eCDD8bMOTl169adN28e8ijkzP7QW5eIbc9+lYgom3DgTpR68+fPHzx4MAZicTjttNO++uorzEzpxewPvXWJaArsV4mIsgkH7kRESWT2h966RAzb2a8SEWUTDtyJiJLI7A+9dYkYtrNfJSLKJhy4ExElkdkfeusSMWxnv0pElE2SO3DnH//4xz/+mX8eYNjurRIiIkovHLjzj3/841+K/jzAsN1bJURElF7Y6RMRpR8M2zlwJyLKJuz0iYjSD4btHLgTEWUTdvpEROkHw3YO3ImIsgk7fSKi9INhOwfuRETZhJ0+EVH6wbCdA3ciomzCTp+IKP1g2M6BOxFRNmGnT0SUfjBs58CdiCibsNMnIko/GLZz4E5ElE3Y6RMRpR8M2zlwJyLKJuz0iYjSD4btHLgTEWUTdvpEROkHw3YO3ImIsgk7fSKi9INhOwfuRETZhJ0+EVH6wbCdA3ciomzCTp+IKP1g2M6BOxFRNmGnT0RERESUBjhwJyIiIiJKAxy4ExERERGlAQ7ciYiIiIjSAAfuRERERERpgAN3IiIiIqI0wIE7EREREVEa4MCdiIiIiCgNcOBORERERJQGOHAnIiIiIkoDHLgTEREREaUBDtyJiIiIiNIAB+5ERERERGmAA3ciIiIiojTAgTsRERERURrgwJ2IiIiIKA1w4E5ERERElAY4cCciIiIiSgMcuBMRERERpQEO3ImIiIiI0gAH7kREREREaYADdyIiIiKiNMCBOxERERFRGuDAnYiIiIgoDXDgTkRERESUBjhwJyIiIiJKAxy4ExERERGlAQ7ciYiIiIjSAAfuRERERERpgAN3IiIiIqI0wIE7EREREVEa4MCdiIiIiCgNcOBORERERJQGOHAnIiIiIkoDHLgTEREREaUBDtyJiIiIiNIAB+5ERERERGmAA3ciIiIiojTAgTsRERERURrgwJ2IiIiIKA1w4E5ERERElAY4cCciIiIiSgMcuBMRERERpQEO3ImIiIiI0gAH7kREREREaYADdyIiIiKiNMCBOxERERFRGuDAnYiIiIgoDXDgTkRERESUBjhwJyJKPzkGBERElB3Y7xMRpR8O3ImIshD7fSKi9MOBOxFRFmK/T0SUfjhwJyLKQuz3iYjSDwfuRERZiP0+EVH64cCdiCgLsd8nIko/HLgTEWUh9vtEROmHA3cioizEfp+IKP1w4E5ElIXY7xMRpR8O3ImIshD7fSKi9MOBOxFRFmK/T0SUfjhwJyLKQuz3PdFj55133omYiCgptPNBQHHbsmUL3zoiSl9J6rxeffXV3r17N2jQ4MYbb0RSRtADwDnnnIOYops+fbq0AWkAa9euRVKamzlzprwoBETJpZ0PgmAMHz5cOm3ZbaUDR1L6W7RoURLeuowxZswYaQATJ05EnM4GDhwo211eTsYcgyg7Bd55aRfpJIMelEhn+lqCGLhrzXGSngizhU/Hjh2xlg4okZ7wGvixjVJEmx8Cv2nlTshOZ4EO3LXmOGGeUMIqOlSsWBEl0gdW3WHIkCEoQZRWgu07sH9EgULpTF9IygfuwXVAWn/C5wLp7DEsW7YMRdOHHLqw9gYO3CkltPkh8I95Jkk0KJe2smHg7qX+tWvX6uwxoGg6wBpH0aNHD5QjSh+B9x3i1FNPRVIJTUeQzvSFJGfopssSiJMCi0xooZjTgKQSb775pqa3aNECSelAPmboaouaNWvqBAfulBLa/BD4R6sVztMJNB1B2kryqTK6LIE4KXSJ8koRx836sU26OKSW0FNNBOJ0oCs8ZswYxAbzhQgkEaWPAFstdouM3jH0BXLg7oTZIvX+pgYNGtj605DDSyp5N3SaA3dKCW1+CPyj1abXJ2pXOHCPQWcUc+fORZKD5GIqHUT7Tl1fpsiw6+4oGwS4B2K3SKud3C19gRy4O2G2zNr68nLmz5+PILlbn8hGmx8Cn8ycOVOrzeCr9zhwj8a8HqlBgwZIymj6YgViojQRYJPFPuFyr8A8Flu2bEFeaZqLoPSMtnt9yGduZBiQWpqe+WBeeTN27FgtrCTUdBvNjTZ0c54t6uVkdFQR8/20rbaIcRL5q6++ikIlkGE5fkeEQtGhXBwlnVq0aIGZSzz55JPIiwSFSrz55pvIcLA1A4GMRGklHLhTSmjzQ+ATc1B7xRVXICkO5plvVshzsObaZtREE1IN0X4B0FxzhNqmTRtNURGPHWUO3F31omVCFTG3lKuuqXfv3ihUAhml3zEb5wmrTigac+nRYE6LaAduEePQ44QSJXz8Lcj3ComSI5FdNE66VwjEZUHpSCJeya5ZMhHxviXmLIhL0ywrZBhZmHLQklaaHnHoplkRoYRLmDn67MiOBCUskOGguc7Rs5WWiQHlXL5SzBMFClnYDtIm56cs5ycok5dht/caiBKmzQ+Bf7RagTimGHuWcN46zDpo1gkb/eBtFrMx6ihF06dPnx5tTQYOHIiiJWIP3DUrIpRwCTNHmd1t14Q8h9i5SsvEgHIuXynmiSTGgdsJ2RbyYQN5DjE+FcRPq3L1GZUoDNztoq5Yx9Nl7hvmV7zWftZ6LSCSLDTdHGLq97LWL0vMMsKYo1SXoSkmpFpouvW7AXlFmmjSdGcPq+nCeoLd8OHDkRrp5ZQJc0aZF3mlD5bm/U9sHah5aY51u8i0pCDYtetGgxYTGop4buiLeVy+TMxTei4kRbrlpaZbX9r8+fMlRVYScQktKRAbkFT67BdXdHYO3CkltPkh8I9Wq8o8YQblSv8sJjsgUh2r5xyRS4qkWw8Wc+fO1Qk9YcN6k5NoPfCYMWN0Qmi69WtpTTHFGLhruoinF42TzisQl4a80rlIcnRNSC29XeRdkhSdlvJGJ433X7p0DYUWiEH6MZ3L1bMp3B644zn0KFlnLSmQVLoxIClR5pogJkofwbZa3TFMsZ/iEa1zwcyOHQypBiSVQKpBhstINSA15izRboMjEJfQRNvQzey2nD2gjiyF87uoMumMArGFeWhBbBExS1ME4uhQLo6SJrMrj+doYRXtxEqtTSA2IMnbS0CGm1dnpfNy4E4poc0Pga+0ZhNSI3nzzTcjDu5lHK/z2nJtA3ekGmw/nCK1BFKjpwvbt7DRBnnRBu5ue9E46YwCsQUy4s7SlGjnbVppSf1QFCedRSCOm6sDN5LiWArKxf3muIUqvFVClBKBt1rzrnmm2KcsO2E2xw6G1Jg7tnNQZfbatiOKJgrrNwcm8/ubiHPZlqKJAnFpyHPfX2C26K839sDX+g2HpgjE0aGcm7U1vynx66miWptAbEBS3C8h4k+r5kcsxC7pvBy4U0po80PgN63cChlx07n69euH2GAduCPJAhluspAaZfWQVzo32sBdE+PvReOkMwrEFpoef9ekKRE/KdloyeQM3KNBdZFegkAchXnSP+LSNEsgdk+/4xcJfINGlHK+7aWx6U5ihYw4YAbHLJoYcdikWQJxaZple6iQJgrEDppr69Y1MeLAPeIHAKG5AnHcMFukGaOlK80ViN2sA8q5WVvzQ46rw0YMZoWIDeYPnbZfVGzMr/EQO2huYg/01nk5cKeU0OaHIADWb6yVq3NFdBbblX/RBs1KswRiC3OkhbiEJgrEpZlfIiA2xB64I3DQXIE4bpjNMWMCXZOmCMTRabH0HbijUJRi5o+6iN3T2QViorSS1IaLfaUEUsuC0o7ympjwwN32A58mCsQOyC5dQFMiDtylw50eieYKlI4bZnPMaB7SsAAHzRWYwXFFFFIjQQk3a2seLN3+tBJNxIG70ESFJAdkl/XmJDb49jIvkUfa/BAESRdkQmpZtLBfA3dzV0VcQhMFYgfNtT4vIuI6JNCLxgmzRV9zLMBBc63di/Vy/GhfDCktE8KBe5yHHmSX9eagtEs6r0BMlG5S0Hax0xiQVMJ5lygrFCqhiaEduJcJpeOG2Rwzxr4DjBVmMFivH1KSgjwL5LlZW7NXlQE3ktzQeSNCCQtklLBtU4GMssRzrzQnnZcDd0oJbX4IAmbtmZ2XKtlOT7cKycDdupNGXIfEetF4YLboax6brWuK88aRmpW0gburA3c8hx5klAWl3cCcCc1LFBKpab7YdUrvPEiKDuVKaGJoB+5XWK7od3LVpSqtViAuYR5yUHUUKF2a835byCiB1OhvS0SYx+VczsshbFCuNPMeFMwIrGIAAP/0SURBVCZkGJCU0JtTJq2ZA3dKCW1+CIJnXm8qkGRAUhQhGbhb9/HYA3ftEKJBaTe0WoG4BFITWiLmLGG7kEBouqujjPmbg0wgKT46VwwoV1rsQw+SYr45CTx1G5XGfNwHUfhF7e8Chb3Hsq8idpx6LpARpeML7cBdjjSIfaLVCsQlZOkR0+Nn/QrEdsM1pLqsHPO4mcs6/kZSiWinythoGYWkRNc/TlozB+6UEtr8ECSFLlEgjrl/aXpIBu7W3jjiOnjvRaPRagXiEkj1sERzqC1sV7hqoquBu9C5BOI4YAY3B26raIceJPm6OVCj49BPlHb83DHihx3IslsijrSjIsORpYlJHrjbvo3QxIgD92h3J0iYVisQlzDPGkScKK1EIDYgyWXlmMfNlzeYIdKC4hy4Cy0mEHu7j1uZtGYO3CkltPkhSApdokBckhLxAnHNSu3APWLXEXEd/OpFnbRagbiEX12TViIQGzQlmQN3xBbIiKM2lLOUROxmTWJDdZF+nSBKO77tGK5gH3LsqDVr1kRsoVkCcQlN9H3gHvGiH+TFtw6aKBD7BJVGqhYZ3paIKkpXgiT3NWO2smY0z25E6Ujl4x+4O4++5kF67ty5SPKP1syBO6WENj8ESaFLFIhjroNmpXbgjrzSudHWQRMFYp+gUke1fnVNWolAbNCUeO74bmXeqksgqSxa2NWB2wnlLCURx70asZmfkWy/JxOlKX92DCfdTxCUZu5F1j5dUwTiEtbLnpBUQhN9H7gLjw9guvPOOzXd3w/3WqdAbIGMuB8E7bwYSKCK0vUjKco7GQNmM0S88bC8/5qroU4LDU3We9IhyeD8ZVaYrQWxQVMEYv9otRy4U0po80Pgkxh1apawdjKaYn0+tNJ0kbSBu7D1fkOGDEFG6bnKHLjH2YvGCZVGelHIiJQVP63BNnTWRIE4bpjNgKTS9PBt3v5cSwoNTdEO3Ek49NiYl075/hs4Uap43Sui0V1F9e7dW/Zz6Q2tH+gFihqQZEBS6USB1BKaGMTAXenjpq1X8WtJK013roOmK+uw9c0339RE6zmXcdIZBeLSkOe41/Lw4cM1HbFBU6x3h9AUEe329kJCPRNds8qkc1nJJyLz63NlHm+cDy0X0tUiyYBUg6ZYP2LJEEETBZIM5nFa2LZUxIF+DLLyVjqvrCTi3r0TuF6KKDHa/BD4ROtU2kNKT1XmbijMk+KsZy2LZA7clTNdU0wx1kHTRTy9aJx0RoHYwlXXJN2LLUUOqZoikFQCqSVnMcm/Eb8UjwhzlpAZpSWYS1coGuV9RlwCqQZNiefQYw64hfVm9tG+yonI+g7H4O9HNaKgld30E4Z9IgoUskCGg3k3A5QroYm+D9yt01YRv+LVrNjrEBEKuYE5o8+L7ChQyICkSFDCAhkWyIiD+etKRLaDOlIdzCwtpjQlIpSwiH23MoFyZUHpmFCUKGBBtDfz18KIbMNZYR07WvXr108nkjZwN78TsUE5izjXISIUcgNzRpk3/q7Jefssk/OJGRGrRV4cMEMUtluyINUh4oFbUyJCCQvr2N0pnm/Q5dCM0jHZWilRyLnYmRNg+/ZFIS8S201q9Wc18xO2ljFpYsT7OsXzwGTbd96aKDS0fn0rNNFJc6PdW8r63YAp4geAeJhP30AcifV7a1PEcyht36AIZESCEoYE1t/6m7WK9s30xIkTUcJgFtNQp022wsL6xYyT8yUL5MUH80TnHNkQBUSbHAJfjR07Viu3Ql4kKFFCE/VDu/PydGsZG82KuBOZnxAQl9BEYQtFx+gnNGsBBA7x96LxwPzRFyfi75qQZ4EMB9vBF6lu2A6CQj7zIK80VwduV4cegUIWUgPy4oB5YtIVJkoXiezPGQl7cEIdHBFRkrG/EvomCMRERJmO/R2g++cBgIjSAfsroW+CQExElOnY3wG6fx4AiCgdsL8S+iYIxEREmY79HaD75wGAiNIB+yuhb4JATESU6djfAbp/HgCIKB2wvxL6JgjERESZjv0d6D3CnI9eIiIKIQ5YxRVXXCFvgvN+iEREmYoDdyKi9MOBOxFRFmK/T0SUfjhwJyLKQuz3iYjSDwfuRERZiP0+EVH64cCdiCgLsd8nIko/HLgTEWUh9vtEROmHA3cioizEfp+IKP1w4E5ElIXY7xMRpR8O3ImIshD7fSKi9BO2gXvs9ZGs3r17I0hI7PoporR402QNW7RogYCIyhKKXfrGG2+M0bkYPY+n9YxdP0U0ceLE8L9pRtPglqVslMzGr8uaOXMm4ki0DAIHyeLAPflivGkxsmKLOGPExDjJjF4G7h07dvSydKK0E3hbb9CgQZk7FQfuIfTkk09Ge9OMDZLI+6kzvvrqq4gNmojApYTn1RlVmzZtkEqUPrT1IgiYLksgjiR2AcniwD35YrxpsjkWLVqEwA2tUyA2OFPiJzN6GbjrogViokwXeFuX3alixYqxdyoO3EMoxsB9ugGBG8aWLIbY4EyJX2LzyizSJs1pMWbMGA2J0oU2XQRB0v7zzTffjL04Y3WiFpAsDtyTL4g3TSpctmyZrVpjOQkuSGZMeOCuy1VIIsp0gbd13Z3k37Vr12qKEwfuIRRj4J4wqfDOO++Uf/v164ckb9vXy7wmXyohSrKktVtZio6rZGL48OGa6GSsTvH66ITQdCWhbeCuZRSSSui4UJk/0Gmo08Ia9ujRQ0MxcOBATVTa4Vht2bJFs8aOHYukss4CklyUs3zmNw0ZMgR5pV9IxHSZPueccxDs2rVo0SJbrv4r9JdAnZajp04YpYppqJBUAqnGi9IJZJQm6eYWMYvphND0iDTXVswWCk1RzqM/Mkqqsg3cNUvIlkVSJLIppYxMaGFNJMp4wbZ1c3cyJyIyB9ZaTFi7Nk1BYNAUNX/+fKQadE9WNWvW1ETbwF1zdVpGkBoqTVRz585FaokGDRpoliwUSZbEiKxHIIHUEmPGjEFGTo6sJFKjpGuo08oa6rS8ZKNU8bTtXS0uZNBQIakEUo23Ls5TZZzbbuLEiZrlJLlS3vYLjDFTqQVpirIdhgUycnJ0DQUyDJqikFQWV4WJQiJp7dZcSuwlaq7QLkunNUvItDlMNHtpDa3TQoebOmzVnlDTjVIRpvVsTJ2WA4dMm2N9rUpHjVrM/KlQRopmlnwasWbZyJpI7hVXXCHTzqGw9mbSF8m0dU2ipctE7IG7kheuY1bExgqYo1tNcU4LDeUdtn7YQF5pkm4buAtZrnng0ywnzdKNKP+aiZqurKFOW4/UmiITur2E+dL0I8qpp56qoebqtJNk6XaJXYwowwTb1mVf0t5Qv3vQRCcd/Ant0bSjjOeLFh2nSkejoZDQehaEnsNnDi410ZwWtmlbqN2uDtM1UcgrkvDNN9/UsHgeS66VljS/M7CV1KPFnXfeKdPaV8ZOlwlzWllDmZZeWP6Vjwr6DpjvqnSCEd9Mffd0WmiWzG5OC82ysWaZS5FNbMtykizzoG7dTEKnhTXUoblZUlhzdVpoKGTa/LRmy4pBill/ASBKC/G3cC+0N9Zp2yjTxlidUrkSWndz5/e7JmuKddrKTDcnIrLmWqeFTFv7bduBQyAoTdJ1dGiSFHNemZYhsk5bxUgvc+COwKAp5vhYyFvqLKOfQFydwSLpsbcIphzMLGOmCNMR19BMsU4rCa2fSawdvvUIaCMbxcySiWjFiDJPgG3d1onItI6DnXTwZ/01rXgvjLRPWqeVNcU6bWUO3KMVUNbvRSIOas3pjh076rSI0bMYM5XKsqZYp63iT7eGxXWVztVXrQNlJcN3WxkJrUdW86gmJBQISrNmRdx2Ooh3kixdH70PgJloTjvXUH8S0Wkdx+u0Kp4zUj1KQusBL6KBAwfa5iJKC0Z7D7zpyiLM4Z2Q0HZWg8lYnVi7p3WYqF+pmIyC/5S09icmLaOQFIm1gHVayLQeg5yfQJx9i9LvrRGUkBRNdPZXKlq6kPTYA3dMlZAUW6KE5tcTSlL0q4fYI2YbSfc4cBcyrUeN4vlL0q3TyvqGOHMltA7cdcLkTFGSHu37fqLMFmBbt+1LttDKHFibrMM1Y75/pq0fx4WewqjTzlyl9dvG4k76s51OW0eWQqbN0JqunCkqYkkz0ZmrYqTbsqyhTFuPB8L5rhbPHyVFfxzQRBXtSCaMmZAVcSkxDu06cNdpYZ2wTZti5FpTZMJ2QqSk2N4TJykjBxUEROmjuOk7dhbfySKkczDFWKgzy5oiE9Zhok6YbCeT6ISNpJuQVAKpFpqu40X9GGDt/7XXctJcK+tBwWQWjvZLcoxfmCXd+8DdSc8t0WktppwpJkn3ZeCuoTmh087fMK25tgOENUWmnTTLypZuC4kyW4BtXXYk6b+ki1TWsbiN5NqyrKNGmbBOS2GdVtaOTyYiDtS0fuuxwSQpNsgwsnQgaFtzo5Qd8kpzplsLO3NVjHRbljWU6TgH7k6SpefnaDEV9MDd/MQl/+qEbdokKfr9nDPXmqLTNrEH5VLA9t0VUbrQFo4gGLoIJ2SX5syypsiEdZho+07dKPhPST1hz8YsY06oGKFM6JfQShOFfgJBEFPEbtCorDhRL2/VRKto6ULSzRO4RcIDdwSlObOcKSZJ9z5wFxKaF2WZKea0cvWNe5k/kwqjjgiiHXqIMkmp/cdH1ssrrZwfxIVz8CcjZjPFmO+faRl/67SyzisTekmTjVlG/tUJZT19U1i/XJEezSgLmqhsYQzOkkZlSHTmqhjptixrKNNxDtwRlGY7j18EPXAXxbWUsKbotClGrjVFJlyNwq3zEqWdJDRgqT/iV6cRl+tMl9DsrmU69jDRes5exB9OjZmK55JBv0yYPYlMmzULoxQqNyecJCvixwMnKWk9h1BIivnBwzptFSNdIHCc3GKdVkbxUonOFJP192cVo7Ck+zVwN1lTdFpZU6zTSkLrwD3i1o/NqLJUnUQZLKi2HnFHipgodPBn7easJaNNK2uKddrKOri0lrFOC+vAXSasBwMryYrzY31x7aXXR0LzQCjTtg8hKka6QOD4NVamyxy4O79Wt5Ks+K/WMrOcS5EwzoG7Xh6gNOXUU081p5VUZaZYr0ZSxXOWpFiny+SqMFEIBd2GnVc6qmjL1XSh35jqtGYJmTZ7VJmQ0OyvjIL/lNSfRvXqfOs6GKUwbf3OxZqu85qhTltpurCFZV6qpD/6maFOCw31JTsvl4yWbv0JUWiWsE4rWwElKdZjhHXaWl6nhYY2ku7LwF0YcxdDXLpC3Vjm9+gyIaF+yWIeAsxDhh6Fx44dq6GQEFPRGXX8U0y/h3oyyjV1ROmu7F0iMbLbWG//pKL9QKmDP6H3/rOdjK5ZCEqH1mmhPYKmaI8gS5Rp6+BSy1gXpB2KDhmFUQoP/Lcyv57RXtg8nTri1UtKL3yMdlcZHZLqz6bWr7ejpWtnpH20rrmZJWS6zIG7MGYqtQ7mrQ80S98NnRaaZWPN8jJwF8UVGRCXrlw3ivVSVzNXj+hlNhVMlabFZE2skOeohCicgm6oMeqXdO0orLT8m8ZzmpS1jITWr0J0fGZCaglz/C2ije+toU4LmVE/FVjTddp5gr7Zi6oYp9WhRAmklkCqwfn1k4qYLiugoaYL67QyCtoT9ShmhQwDkow780rPJhPIKE3S/Rq461Ks6do/m2w/PuhXSEpC+dd6yDBrU9GOJlZaEkHJbzLW76GIMknUndML7ZQRlCbp2ltZmZ2L/KusN9LSFAQGTVFIKqHDaGWOmG2dl/U8HGvfLaH+K2xn0di+M9DxtEnq13Qn2ylDSC2hxxhlPWxES9c1VxLqv0qm4xm4i+KZLZBqQFJJVTKh6TZaRqedS5Ew/oG7KK4rymoIZ+eLDONg4GxpmqVirIYT8oxc6zdYROFka7fk5Hx/+I4RUbpjLxaZ9O+2r5QkxfkwICKilJAeSSCgSOT9MU9xEbZ7hRERpSP2YpFJ/279ZUDPnEFARJRq0iOxU4rNdjKMcJ7hQ0SUXtjvR6Z36bJynrJPRJQq2i8hICKi7MB+n4go/XDgTkSUhdjvExGlHw7ciYiyEPt9IqL0w4E7EVEWYr9PRJR+OHAnIspC7PeJiNIPB+5ERFmI/T4RUfrhwJ2IKAux3/ffzJkzbU94nj59OqaIysLWQvEIeuAu7TAaydWnR2vJ0JI1NJ/qH78777zTeGuLaQqChGrzTheNIDDJWYp3ixYtkq2Qkg0RJ30nBeJIoj1tXQYP8tJsD0EnsglkR5WOT9plRFogdpsOgzJ3vGh0RmELhaYkU3IOrmlxCLeSnlGaKIIwMZpJsRgdt6z8mDFjEFjMnz9f57U+KpIymG5uBAHQ+iOSXL/2ehmpnHrqqQji4Kq8rGECIzzjJf7z0nTPQpAoLwNN2/oEJDlL8UhX0mR9SKKPAt1Yb775ppZxdtSabho+fDgyiEoLZEdFu4vELKATHrmtJ/7yxevqfiWdc0no8Vl9LVq0MD/wuMWBu1PxFjIg9pWXaseOHRt79mXLlhkrXgxJJZBqgQzKXMnc0M4F+bXXS//mqh5X5aVkYgN36wd7+RTt/ZVKDQl/opZ5va9AmZKzFI+kD8RUkCvspdrYa6W5MiSQf23tQbMQlDz0FwFRaYG3DGl80sUjKOFXi3RbT/zlpaTbyoVzrgQqsXHWGT8O3G0GDhxovJ3FkOQrL9XGHpEYq1z8+F6dQKrhiiuusKbI8UBC6xGOMpLREAJpxk7OBVn3ej15JiLJsp03aBOj2UecN1r54jN4HKshJWMP3GUW5xcrMpf1mCU1RFtitJcWcU0iDtyLVzrKu2emy7wRV8AmWj0inqyIS5HciPPKmxYx3Sba7MqZFaOwU5nfdAhj+S7qVGVWqyLWbLyLUWeXvlonpIxz4G77il1SnGMnIhFXA/UiYuMzW/aNN94ou59O2xhn1pTxTbNZj020eSOWlxVwFpaS0SoX0m1FXIRzroiVRJxX6VlGCAzOOlXE1VZSiX5jFOeQOlo90rNI1ptvvom4tNhLibZ6cqiT9Llz5yKOQspEnF1Jlm1gKinxdNC6nsVvaFlvi7xqqVMGyojjU2a1Itq7GnvgPmTIEJ0w1r1UsXhSKPMkcys7F6R7vX5oNCHPgKQSSC0NeSWQ6kg3jyCIS0RMrFixoqYLCSMO3MeMGaOFTZouHRpiQ8eOHTFVQoshKKGJCkklJEX2XAQltKR+pWqynh1n/X7BhLzSJF0/qJusHYstSyDDEHspMVYPSYZoJ/Uhu4S1I5VQv3JWZqKVJsYWu2SbNm20gAkZxsHCGgoJpfvVCauIjSfGu4q4BFIjkVypB4HBWd6oI1YllLUCbxbS8iIO3G2tHxkGJJXo168fMiyQV8L8qIrYImK6lkdgoYWFLbTSLJM5XkQcRcQy1pdmO0hIryqJCEpoSVl5xCU0XciAGEkGPT4hrzQtYIM8A5JKWL8MiL2UGKuHuARSS0NeCdthWP9VZqKV8/szkxawTkSk3boVMgzOUFNOPfVUnTZpARvklYjWbjUxImcBCW1nvTvLUOZJ5lZ2LkgH7tZ0mTZHjc4sa2jl/LxqK2wr4CyvXx8oHYwiMKqKNnDHlEGK2foZ6zHL9o27TEcLbT3hsmXLzMGZpFsHajNnzrSW1B4VgVFYx5HCHPdraKNZtg82Oi1kWg4rCCLlRltKjNWL9vuDjfW3iOJ6Sy/XGgpbii2MSMtE6+11haOtQ4yBu7Ll2khu7HfVGkYjZaztQT/JIChh1FR2VZSFAm8W0vIiDtytLdIa2vo+W49mY8sqrsWSIvuthK+++ipiR3nrYFRYc4srir5ck62YLRTWMPZLk2lJQWB8YaATkm4tJpyh+RqNsqXqtIZWmmUe1ZwHPGuoHyoQlLUU67SQ0Lp6OhGDtTuLuFZyUEEcadHW0MbMKrOY9OwIIi0CU4bYuTa2wrZ31Tkiicioo1QxCa3viXCWocyTzK3sXJAO3BEYjNVBikxMnDhRp5WZZeNs9s6SkqJfZIgydxNrrkxHHLjbSDHbXLEH7tFemkyY0zaSbu3ZnCUl1G7HeUq9UTZqtdYXWOYI20yJvRTrtJJQV69fv362rDLpVzkILFWZbBU61800ffp0yTIh1cGZa303vAzcY7+rQqadBZykjLU96OtCUMKoqeyqKAsF3iyk5UUcuGPKYLRPpFinlYS2L0hMZZYsrstSxjrtJLnRvrqIJvZ4V5SZqytcsWJFW5bJmOmfrAYNGthKWgvYspwHV5Mxk70eTDnqEZJiPT9PJ5R1KTFWL+KXCmWyziLT1i/GhKTYzpmJtghJN3/fkOloxZyXBNlW25ZbXFH0XBtnrqSY76qXgTumSjjLUOZJ5lZ2LsjZtxirgxSdttEsG1uz15NVEJQw5kZitN1ER1QKScaM1nGtjQ7gTEg15rIes2xjNaOsnZkVbXGS5Ry42+i8Oq3FlDPFJOm2JZoljZnsc0mK/kTszLWm6LSNuSANpavXMJo3S26fopBqzI4pw6uvvqoFbJAdXeyDpm315M03C3sZuEuWM1dSbD+863QMUsbaHqyrZzJqKrsqykKBNwtpedZOUNmao9E+kaLTNjFOpMOUwRYKY+5/Ep0FdFhmMldVQ5120q8ETEiNNJcz10Zfmk5rMRtbloZOkuW8WMd5cDUZM5XKMsOIX3gYxYsTYy/FKBWBLVfDaGxdOVKN2W0tQQvYIM/Cts7RiomIWZJifjyw5RrFS9WMKYfY76rwMnC3HgOEswxlnmRuZeeCnH2LsTpIsWXFYGv2zkGVKK63JNG5m2iuzCiDJ2HNlemII2ktJuRVmNPIM+YyDwRCarDlYspBsqzjPyvJsg3cradbWEmWQGBwppgkPaCBe7TVUxMnTtTytt/6TJqrG8XW9VmnRYyDVJmKlxFpXkm0bQjpwM2SIRy4C+dckhLQ/S4p3ZXdwjySxmftBJWtjUpopshExJPaIzLnUrZQFNdrSbQV0FzrecbmqmqWTttolu6ozi7JGgpbbrSXZswXa3EIYpZ09oAx+kSjmlJZZhh7iBl7KUYp+7w2Wsb23blJc639oE4ImXYO3DEVU3GNkdh+8haajqCENcWWaxSPmmsV6MBdDkUIDM4ylHmSuZWdC3L2A8bqIEUmzF04Nluz1/MbEZSQFHPHt5W3nY0trKFMRxy4S7qtmC2UV4cg0sA92ksrrqX0ypgk3XaBZrSSPXr0sGXFKCzpbgfuOhF7KdbpGKIVs6XbBsrWaeVMiVPxYuJYAWH9bTxi0/U4cMdUlAJOUsY5cLderSEkxXqaPpGp7BbmkTQ+ayeobC1bQjPFOl0mW0kJXZ0q4wzNVS2eLdJq2NLdDtxtuab4s2L8PihsWc4eylRcaeksM4z2s531zdEJZV1K7NUzOQ+3ynYZgLCGMu0cuMdz4xcpFpHz6yJNR2Dw61SZMt9VLwN3Z4p5jQRlKud2D45zQc6+xVgdpFinY3OeM22bVy/7RuAob1sNW65MBzFwt4ZWzhMFrVfrWr+1sZ1jaSNZ5grIhwQJoxWW9GgDdyHT1u8mimspnRttKbFXzxTtXuNGTaUWZAsxVUJSon2PY2X72kt75rGR7kpnu3xISGhNkWnzR1R9FXEO3IXkxn5XrWE0UsY5cLfOaAvl/XHeiIyyVtktzCNpfNZOUFlbpDCaKFLi7DKUraRRzT8pzgtbnaHs/DqtJ+SZqyrTQqetbOmxQ2ENY7w07YOse6ZZUibMaSVh7B8oddo8C0hDG2eWNbTl2jpoa65zKTIdcfWsidGuObZ9N2P7GCDTzoG7tUCcYs8lWdaPf7bCMm0eY8x74WkoZNq2hla2wrZ3NeGBu+0oZfswKWvL31szktEQym4wvnAuSLpKW6KxOv+kaGiFDAdklxSwnRstbEMWpJaUR2Ch6UKmIw7cdR8x2b5+lmnrMcs2cBfF85SGDEeW9RQ7kzNFabpAXMJ5aodJ0mMM3LWHsUKGAUklnN+L20RMt40+Tcg2OD9NYaqEfqlhgzwL7SFtkOeAbAtkGJBkYRu4q4hff8TzriJw0Fwb5DlyzcGJ0BQElPUCbwrS2lwN3IWGVshwQLZltIS4hO0zOlJLyiOwKHPgLjRL6dnYyIg0lzO0QYYjy1xz630GNUUHalbmT7fa+ZokRf91MguYrKEOrK2snUjspURbPf06ymTtKK2QbShz4C6MgqUgI7rYxZyHB2QYbLkRv41TSLKI/a5qzQgctLwN8hy51m+hNAUBZZBkbtmIJ4fYEiW0/bIvAzLZQaQrs7bziIYPHy69CgKDhDKv7eQBk6289Nvm+NW6VhFX2yQrZl4aLvumTgjnXM6UGC9Nqoq45lKJuZImSRHO+mXEL+nmN7vRXkg8qyp9plRlfYGmMpdSvHKO1dMXaNteTroFddpag3MpSjdimdXKGyvF5LCIOCYpKRCUpovTzSevyLYdZSkDS25kFFG0d3XmzJnRPszEQ7puqdb5JjjP6qRsFt4jurTdMvdhIb2AebdBk8wYrXdwlo9nKTYyi/PTSPyKX1iUhUp6xDV3lpdikhixO45WiVvSB0lV0c5Fib2UaKsXz7rpvAjiI+W9bBGn2OsgWdHOPpReO/bKx35XvZBqy3xvKWMkc+BOREQhwX6fiCj9cOBORJSF2O8TEaUfDtyJiLIQ+30iovTDgTsRURZiv09ElH44cCciykLs94mI0g8H7kREWYj9PhFR+uHAnYgoC7HfJyJKPxy4ExFlIfb7RETphwN3IqIsxH6fiCj9cOBORJSF2O8TEaUfDtyJiLIQ+30iovTDgTsRURZiv09ElH44cCciykLs94mI0g8H7kREWYj9PhFR+uHAnYgoC7HfJyJKPxy4ExFlIfb7RETphwN3IqIsxH6fiCj9cOBORJSF2O8TEaUfDtyJiLIQ+30iovTDgTsRURZiv09ElH44cCciykLs94mI0g8H7kREWYj9PhFR+uHAnYgoC7Hfz1irVq1atGjRJ5988qlhwYIFEiKPiNIcB+5ERFmI/X7mKCwsfOSRR+rXr5+fn68H9Yhyc3OrVat24YUXrl69GnMSUbrR3RkBERFlB/b7meDaa6/Vo7jVHnvs0bdv38suu+xSw+mnn96rVy/kWUiZP/74AxURUZrQ/RcBERFlB/b7aWzlypVdu3bV47do1KjR1VdfvX37dmTHNHHixI4dO2JOwyeffII8Igo93W0REBFRdmC/n67at2+vR25x0003bdy4ERkuff755xUrVtR6ZGLp0qXIIKIQ030WARERZQf2++nngQce0GO2eOihh5DqzaJFi5o3b6517rfffkglorDSvRUBERFlB/b7aWb33XfXA/a//vUvJPnniy++yM3N1fpXrFiBVCIKH91PERARUXZgv59O9FAt1q5di6QAHHroobqUl19+GUlEFDK6kyIgIqLswH4/PaxYsUKP07169UJSkF544QVd3C233IIkIgoT3UMR+E5q5h//wvZHRBy4p4Xly5frQfqCCy5AUvD+/PNPXeill16KJCIKDd09EfjOOlriH/9C8kdEHLinBT1Cjx49GnGyrFu3Thc9duxYJBFROOi+icB31tES//gXkj8i4sA9/PTwnMzv2q1WrVqlKzB37lwkEVEI6I6JwHccKlF4sDUSWXBPCDW9h8xBBx2EOBW+//57HSIUFRUhiYhSTfdKBL7jUInCg62RyIJ7QniNGzcu2GNz3M4//3xZjcqVKyMmolQLtnPgUInCg62RyIJ7QnjpgTnQOz/Gr1KlSrIyjz/+OGIiSintHxD4jkMlCg+2RiIL7gkh1alTJzkqn3322YhTzbwfJWIiSqlg90cOldLZhg0bpk6detxxx+Xn52s7capdu/bpp5/+1ltvbdmyBbOFFlsjkQX3hDBav3699q2Iw+GQQw6RVRo8eDBiIkqdYLsIDpXSUFFR0bHHHluhQgVtG/GrWLFiEI/i9g1bI5EF94Qw6tGjh3SmDz74IOLQ0F6eV6kSpZzujAh8x6FSWnn99de1Pahy5cqdeeaZ77333vbt21HCYdOmTf/73/9OPvlkzGPIy8t76623UCI82BqJLLgnhJH2oQgSMnbs2L322qtWrVpST0FBQdOmTc844wzkeXDcccdJhePGjUNMRClidBIcuGe7Dz74QIbp2hgqV658xx13bNu2DXlxKywsHDFiRMWKFbWe/Pz8L774AnlhwNZIZME9IXRGjhwpXedtt92G2KXTTz9dO9+IxowZg3IJ2bJli9aDmIhSJNg9kUOl0Nu6dWvDhg21GVStWnXGjBnI8EDG63ofAtG6dWukphxbI5EF94TQyc3NlU5zw4YNiN1o1aqV9rmifPny1atXr1atWl5eHpIML774IkonRGvbtGkTYiJKBd2dEfiOQ6Vwe/LJJ7UBVKxY8ZdffkGqT+bMmWMeNaZOnYrUFGJrJLLgnhA60lfWq1cPgUva1TZt2vTHH39EkuGll17SLIXUhLz66qtSw4UXXoiYiFLB+74cC4dKIda+fXvd+qNHj0ZSAP7973/rUg455BAkpQpbI5EF94Rwuf/++6WjvOKKKxC7dPjhh3/77bcISrv++uu1FxYLFy5EqnsbN26UGmrWrImYiFJB92UEvuNQKayqVKmim3758uVICsy8efN0WU2aNEFSSrA1EllwTwiXpk2bSi9ZWFiI2FfaBYuJEyciKSFayc6dOxETUdLpbojAdxwqhVL58uVlo1esWBFx8KSf1/tLVqpUCUnJx9ZIZME9IVy0i0Tgt+LjvOHNN99EUkI6duwolWzcuBExESWd7ssIfMehUvjo0WHPPfdEnESNGzeWRVevXh1xkrE1EllwTwgX41gc+MA9sStfTUOGDJFKpk+fjpiIkk73ZQS+41ApZPRmL02bNkWcdHqKTmpWgK2RyIJ7Qoj89ddf0jMGdBOuyy67rPg4b0BSoqZNmyaV8PpUohTyZV+OikOlMDn++ONlWyfzDJmI9I5nl1xyCeKkYWsksuCeECILFy6UbvHoo49G7J+ZM2cWH+QNkydPRmqiVq9eLfUcdNBBiIko6XR3RuA7DpVC4/3339dtvWPHDiSlSFFRka7JV199haTkYGsksuCeECLffPON9InnnHMO4kRt27Zts0FG2HPnzm3SpIn2tmLUqFEo5I1U1bBhQwRElHS6RyPwHYdKoaEbWo4OiFNKf27Ny8tDnBxsjUQW3BNC5NNPP5U+8d///jfiRBn9vN1pp532+++/o4RnUmGNGjUQEFHS6X6NwHccKoXDoYceKlu5X79+iEOgTZs2skpnnnkm4iRgaySy4J4QIl9++aV0iEOHDkWcqOLjeRTy2QCFvJGqeCt3ohTSPRqB7zhUCoHCwkLdykVFRUgKAfOEmS1btiApaGyNRBbcE0JkwYIF0huedNJJiBO1cuXKZYZJkyZNmDChXbt22s+qHj16oFyiNm3aJPV07NgRMRElne7OCHzHoVIINGvWTDbxuHHjEIfGrbfeKisWxOVYkbE1EllwTwiRpUuXSm/Yq1cvxL666667io/zBo+fDb7++mupZMCAAYiJKOl0X0bgOw6VUm3t2rVeNvHOnTvlgBLDn3/+iaIJ0XVL0k8BbI1EFtwTwkW6wtzcXAR+GzNmjPa2AkkJ0a9bnnjiCcRElHTed+RYOFRKtZNPPlm27+jRoxG7pM0jtnPPPRel3dP7CyfppsBsjUQW3BPCRW+UiyAARnddzMvPrwcddJDUsHr1asTZau7cuXL0atOmTe3atWvUqJFXolatWnXr1t17771Hjhy5aNEilCbyle7ICHzHoVKqedy+Ontsxx57LEonRGqoUKECgkCxNRJZcE8Ilzp16khviCAARnddzMtDNOrVqyc1FBYWIs4mW7duHTp0qL6H8ZPD26233ooqiPygTQuB7zhUSqkPP/xQNq6XW+5q8xBdunTpHEmnTp08fq1Qv359qf/bb79FHBy2RiIL7gnhct5550lX+MorryD2m9GTF3vwwQeR5JLeUiC483lCa/r06frWqSpVqvTs2fP555+P9lSUbdu2TZgwYe+995ZRO+bJycnPz//pp59QgsgDbVEIfMehUkodcsghsnHnzp2L2D1tHgJxAB599FGp/4orrkAcHLZGIgvuCeGyZs0a6Qpbt26N2G9GT15s1apVSHLpl19+kdmPPPLINm3a3HvvvUjNaHp8Mj311FNuH2G4du3akSNHYn5j0D9z5kzkESVE2xIC33GolFIFBQWycb3cb1Gbh0AcAFk9qT8vCQ9jYmsksuCeEDoJ97bffPPNRRddhCCSww47TCsXSHKvbdu2MrtemWTq37//m2++iRIZ5I8//tCrDoR8UPF+Wv+CBQsaNWqkFTZv3nznzp3IIHJJWxEC3+k4Kbj6Kbq///5btmylSpUQJ0Sbh0AcjKAvygK2RiIL7gmhc+SRR0pX+NFHHyGO24033mh01MV3WJch5vbt25FhfJFvjhfFc889hwz3tIbDDz9cJ2wKCgrOPvvsFStWoHQ6u/baa/VFVa1aVQ6lSPXDokWL8vPztfLXX38dqURuaPtB4DsOlVLnt99+ky3bpUsXxAnR5iEQB0PPA0QQHLZGIgvuCaGzePFi6QqrVKmCOG5TpkwxOuoynHXWWZjBvbFjx0oNRx999LZt21555ZXOnTtrnRG1atVq5MiRoXrmX/z00Sdi8uTJSPLbbbfdpos45JBDkEQUN208CHzHoVLqaE8+ZMgQxAnR5iEQB6Nfv36yiPfffx9xQNgaiSy4J4SRdrgygkcct9GjR+u80bzzzjsomhCtxHZ+/M6dO6+66ipzpBuRDPFl0TLcxzwhtn37dl3natWqISkwy5cv12XVq1cPSUTx0ZaDwHccKqXO+eefL1t26tSpiBOizUMgDsZjjz0mixgxYgTigLA1EllwTwijL774QnrDPfbYA7FLf/3117hx4w466KAqVark5+fvt99+I0eOXLp0KbIT9eqrr8paNWnSBHEkS5YsOfXUU/Py8oqPGJFUqlSpT58+v//+O2YIma1bt+p6tmvXDknBq169uiyxoKAAMVEctKEi8B2HSqmjZ0t+9913iBOizUNcddVVPXv2bN269bHHHnvKKad89tlnKOGHmTNnyiJOO+00xAFhaySy4J4QUnpXARnBIw4BvQ4p/rO9J0+ebL0c1qlOnTrXXnvt8uXLMUMI6IrJZw/EybL33nvLcqtWrYqYqCzaVhH4jkOl1Nlrr71ky3q8FF6bRzSdOnXy5STGJUuWSG0HHngg4oCwNRJZcE8IKT3TPRl32orPiSeeKOvTr18/xC6NHj26ZcuWxUeMKOrVq/faa6+tW7cOM6SCrslRRx2FOLn0sVaNGjVCTBSTNlcEvuNQKXX0MXybN29GnBBtHrF5f67z0qVLpZ6uXbsiDghbI5EF94Tw6tGjh/SJhx9+OOLU+frrr41+3ofW8ssvv1x11VVaW0TlypWTw8Ds2bMxQ7J06NBBlp7MM2Sc9GeW2Pf0JFLG7sKBewbSi/4TuMbJxvbraGFh4VtvvaWPOzVZbz6WgF9//VUq6dOnD+KAsDUSWXBPCDXtW1988UXEKaKr4ft5O+++++7xxx+vlUcjo/zvv/8eMwTm/vvvl2VVqFABceroq/byxETKEtpUEPiOQ6XUGThwoGxZf09Gtxo1apQ2HnHSSSchNSEff/yxVHLeeechDghbI5EF94RQW7t2rXavf/zxB5KSrmLFirICJ554IuIA7Ny5c8KECU2aNNEXG1GlSpXGjx8vbwjm8Y95G5kw3PTm888/15VBTBRFsO2EQ6XUGTFihGzZxx57DHEAatSooe3H49mY+hngrrvuQhwQtkYiC+4JYTdp0iTtYTdt2oSkJGrQoIEsumXLloiDt3jx4rvvvltfcjT777//lClTMINnLVq0kDrvuOMOxKnWrl07WZ8zzzwTMVEkxq7AgXsGmjFjhmzZAQMGIA7A888/r+1HICkhHTt2lBp++OEHxAFhaySy4J4QduXLl9fuVST5iaQ6ak/hbQq//vrrk046yfoOOF144YVffvklZnBPL64Kz0XASl/ali1bEBM5aCNB4DsOlVJHO6U2bdogDsDcuXO1/QgkJUQ7ZwTBYWsksuCeEF7m03ms5s+fj+wgFRUV6RkyYTjtW2zduvXDDz/cc889Y9whvnr16jfeeKPb3yXq1q0r84btnPJbb71V1uqEE05ATORgtPrAOnAOlVJnx44dwW7cXbtmz56tixBISoj3GuKiTTEJCyJKB9wTQurpp5/WPlE98cQTDz/8sE4HfdeRefPm6YJiP2spVdasWXP//ffb7o1g061bt0cffRQzRKffbFWqVAmxSy+88MKYmBYuXIii7ukLQUDkEGwL4VAppfSOkH/99Rdiv11yySXafrz82LhgwQKpIRlPfWZrJLLgnhBGp5xyivaqynzO6Jdffqkp+fn5AT236PTTT9dFeLzbQHKsWrXq1FNPrVmzpq5zRAMGDIh2c8n99ttPCrzxxhuI3Xj88ce1/thQ2r3/+7//k9lvvvlmxESleWxgZeBQKaXOPvts2bhPPfUUYr9p4xGHHnookty75pprpIZHHnkEcXDYGoksuCeEzm677aZdqihfvvyOHTuQYdi2bZuM2jW3b9++SPXD5MmTtVoxY8YMpKYJeVu+/vrrgw46CC8gktq1a19wwQXWextrOgKXhg8frrPHhtLubdy4UWaXBoCYqDSPDawMOk4Krn6Kac2aNQlvXzlkvPDCCwgi2WeffbRy4eVCGq1BVhVxcNgaiSy4J4TIhg0btCtUXbp0QYaD9ete7zdqfOyxx1CX3x8GUmXs2LH6QKVo9tprr0GDBsnEYYcdhnlc0lu2icaNG0+MwuPNFvR0INsnNyKlzQ+B7zhUSjXdvubPrfH76quvdN4jjjjCNqoeN26c+b2P+Pe//40M9/RoVaNGDcSBYmsksuCeEBazZs3SzlTdcMMNyIjujDPOQGnDtGnTXF2auWDBgk6dOmHmnJwWLVp4fMh2CO3cufPiiy/WK1Ajevvtt1HUJXPg3rZtWyT57ZZbbpH6//Of/yAmstDmh8B3HCql1Msvv6zbN4Fb8X777bc6b2xy+MAMCWnWrJlUkqSHA7I1EllwTwiFSy+9VDtT5eomJw8++CBmM+Tl5e27775XXHHF9OnTUaLEDz/8MHr06F69etWrVw+lDX369Fm1ahUKZS55V0888US85hIJP9EpCQN3fTKUfOpATGShzQ+B7zhUSpHvv/9e7+hlWrlyJfLiNnjw4Bg34KpcuXICX+RbrVu3TqtCHDS2RiIL7gmp16VLF+0EVWKnRqxfv/7888+vWrUqaonD4YcfPm3aNMyfZZ566il9ExC7l4SBu5D6w3aPeQoJbX4IfMehUtItX768YcOGulmtEj4ZcsWKFePGjRs0aFCfPn369u0rB4jnnntu69atyPage/fusmLDhw9HHDS2RiIL7gmptH37duv3Is2aNUOGB0VFRZs3b37rrbfOPPPMXr16NWjQoFatWvKvOOaYYx5++OE1a9aE4dn+qVVYWChvePv27RG7l7SBu5BtipiohLYNBL7jUCmJ1q9fv8cee+gGNcloW7J0OhkXgMbNfMAI4iRgaySy4J6QMj/99JN2f+r8889HBgXv1Vdflff8iiuuQOxecgbuBxxwgCxi0aJFiIlKaPND4DsOlZKlX79+uilNnTp1Mm/2cvfdd0tKkq4BjU+FChVklSZPnow4CdgaiSy4J6TGuHHjjC4aJk2ahAxKCr2Z4zvvvIPYPXPg3q5dOyQF4Morr5RFpN3dOSkJtPkh8B2HSsEz+xBTy5YtrferVbm5uZJ1+eWXI04pvcF8rVq1ECcHWyORBfeEFNh///2NXhrWr1+PDEqWk08+Wd75efPmIXbPPOjm5eXpkVXIRMWKFTt06LB06VKU80a/b3vrrbcQE5XQJofAdxwqBek///mPbj6raA9a3rRpkxb47rvvkJQi06dP1zVJ9smWbI1EFtwTkq1WrVra94nKlSsjlZJLL65K+JYy4rbbbtONGE2dOnVQ1AO9Yf/TTz+NmKiENjMEvuNQKRhTpkzRDWf10ksvITuK1157TUum8FueP//8U9fhyy+/RFLSZEdrlE9ut9xyS8eOHfV9jqhmzZr9+vWTI8L27dsxG0XyxhtvnHbaaY0aNcIbF8kee+wxdOjQaA9WDzP2y8mzatUqtBdD7969kUFJ16tXL9kEXm6CuWHDhj333LNt27aHHHLIpZdeOmTIEPkwYLvPpkDpRI0dO1YqefnllxETlfClgUWVHUOlZPrtt99s93kU8T+l4cILL9RZUnKpul7NL6655hokJVNGt8ZFixa1bNlS315Tbm5uQUFB9RJVq1bVSwusypUrN2jQIDkSoaKst3Xr1nvuuUfeN7xBJfLz8ytXroy3snp12Q3Lly+PvBJVqlR59913UVHosV9OkkmTJqGBGB5++GFkUCromZpeTpWJZtu2bQcffLBuZdG1a1dkJESfweTlXHzKVNrAEPguo4dKSSZDq9133123lymBp5bq1w3CvHQ1OdavX6/LPeWUU5CUZBnaGq+77jp9Y1Xjxo1Hjx49f/58ZEcibemTTz4xP8UpGYy+9957KJGVVq5cabut9tFHH/3aa68tX74cJSJZvHjxU0891a1bN8xjGDhwILJDjP1yMth2syDGi+TKyJEjZUNMnToVsd+sj6T18g3Z0KFDpYZZs2YhJiqhrQuB7zJ0qJRkf//9d4cOHXRLmQ488EBku2d2LEm709RXX32lSzzmmGOQlHwZ1xqtQ/ZWrVolPOy+9tprq1Wrhopycr755htkZA0Zsufn5+P1exh2//7779aTlHr06BHmuzCzXw5c/fr10RZycgoKCpBKKfXBBx/I5jj33HMR++2vv/7SLS5cPQfXpn379lLDsmXLEBOV0NaFwHcZN1RKPhnp6jYy7bHHHl6uq1HnnHOO1nb11VcjKTBnnnmmLksGiEhKiQxqjeYHIbHffvv58sxya51t2rRBahaw7mJ+XQn2f//3f6gxJ+eee+5BasiwXw6Web8RseeeeyKVUm379u2yRQK9k6NudCEfEpDkntaAgMgi2LaRQUOl5HNeud6oUSMfH6L0/PPPa7VVq1b1ZeTn9Ntvv+kiROrvapUprfGkk07St7R169ZI8s8777yjlYvp06cjNUOtWLECLzUn5+abb0aqf8ynK9StWxdJYcJ+OShz5szRDa+8POuHfFdUVCQbpVKlSogDoNtdfPzxx0hyT2YvV64cAiILbV0IfJcpQ6Uke+qpp3S7mHJzc4O4jePGjRvNb4X8PYlF+sYePXpozdL5FBYWIiOFMqI1VqlSRd/VQG9jctppp+lS5EMCkjLOE088oa+xadOmwd2ZdOXKlboU8eeffyI1HNgvB+L666/HBjfwHOUQ0sPe1q1bEftNN7346aefkOTS6tWrZfZGjRohJrLQ1oXAdxkxVEom6/edpmeffRbZwbjzzjuxJJ+uHLWee/DQQw8hNeXSvDWaV/cm58FV5u32O3fujKQMctVVV+mru+OOO5AUpEMPPVQX9+GHHyIpBNgv+892dbOPv5CSj0499VTZOnPmzEHsK9nJdesLJLmn1zTzqboUkcfWVYY0Hyol0/Lly513l7vxxhuRHbCioqIjjjgCSzXufDd58mTn41dj2Lhx4xNPPGG9wu+EE05AXkikc2tctmyZvqs9evRAUvCkVeTl5clCa9asiaSMMHDgQH0zlyxZgqTg6WMQhewmSEo19ss+0w2sGjdujFQKn1mzZsk2atasGWJfaQMQbdu2RZJ7+tPqjh07EBNZaAND4Lt0Hiolzc6dO9u1a6cbwnTRRRchO7msF9Wpgw8++Oqrr37vvfdsp7usW7du6tSpl156qe0Z3uLWW29FoVBJ29a4bds2fWMHDx6MpCTSO5o3adIEcZq7+OKL9c1cuXIlkpLFfALaRx99hKSUYr/sm99//103rcrgM8wyhm4pBG506tRJ+sSnnnoKscXixYv1qw6FVPf0BLvddtsNMVFpHhtYGXScFFz9NsuX73r66V39+/+zXMdf0T77yOB0V8y7XCeNfJzu3bu3bgJTz549kZ060m/06dPHPJ06HjVr1jzyyCM3b96MKkLIbAbpRt/h0047DXHS6Q8pYWiZHo0bN07fzI0bNyIpuSZOnKgr8NtvvyEpddJvTwinxx57TDeq4jPq08IZZ5whG+v+++9HHLfWrVvrhladO3fu2LHjHnvsgbjE999/jxnck65WapB2hZioNG1jCHyXnKHS2rW7unb9Z1nx/7VoUTRtGipJOj3Lzqp+/frJ/xYwtq1bt/7www9PPfXUcccdt++++2JFDe3btz/llFOeffZZKZAeT843t3ta2W233eTd3m+//RCngt4/TSRwmAuPX3/9VV/FH3/8gaRUuOOOO3Q1EKcOB+4+OPbYY3VzqrD14BSNebd1xHGbMmWKzhiNdNlejoh60xuBmMgh2BYiNetfQB5//J9FyF/dursGD9716afIjeiXX4ruvHPXvvuWmvGMM5CbFPfee6++7aaaNWuG4Ru4MmF1c3Jcnf4eFubmTh9DhgyRd7ty5cqIU2fNmjW66dN3ZKLr/+STTyJOnc6dO8uaNGzYEHGKcGTgVb169bRViby8PBlyIYPSwV577SUb7vXXX0fsxieffHLCCSfopjdddNFF3h9qqD8F8BaiFIO2NwS+C26oNGaMfCpF5QUFu158cdfOnciK3++/F+2++z8r2aWLfNhFVjDeeOMN6ylwoly5coHe189fWGkO3JNiy5Yt+m4Hd7NCV/TBAml6Z2G928c+++yDONX0fnQvSseVOhy4J27dunXFu2aJ7t27I4PSx4YNG2Tbya6IOBy0Re1MYEBDWUMbCQLfBTFUWry4qHx5VNup0y5fbrd1zTX/rOqYMUj0lXw+17fa6tFHH0V2msB6c+CeFHqNwfjx4xGHgN746M4770ScJhYtWmQ02xBtevNqRsSpkDZ7QthY7/cn7r33XmRQujnyyCNlC5544omIU61u3bqyPmnXw1KSGR1PYB24jpN8rH/YMFRYs+Yuvy8vK+rXTysvql7dx6/ely9f7rzK86qrrkJ2WsHac+AevLffflve54KCAsThoE8FEen1fZCu83PPPYc4HPTC9KOOOgpx0nHgnohLLrlE25P65ptvkEHpSbfjt99+izh1nn76aVkTPi2VyqSNFoHv/B0qNW+O2iZMQIrvli79Z52XL0eiB3oyq5UvTzhKFbwGDtyDp+/zwoULEYeG3u9/5MiRiEPvq6++0jcTcWjs2LFDVyxVN2vmwN01281DkErp7PPPPw/D1jS/FOH1zVQmbSoIfCc1659HcmDTeipU2BX8DUyKDjgAi0v0MYdFRUXWp4eqDHgCJV4JB+4B05/iK1WqhDhR8+bNmzx58tChQ4cMGfLAAw8sXrwYGd5oG0AQenoB4dy5cxF7s3z58nfeeWf69Om+XIh42mmnybql6of6tNmEYSCfrqxPyGvZsiUyKP2dcsopsk1TeBMA6U30qpcXXngBSUTRGZ1QuAfu5qi9USOkBK/o3nux0McfR1LcLrjgAn1XTVWqVFm2bBmy0xleDwfuAWvWrJm8yfM9PG2gV69euqVsqlWrtmDBAhRK1OGHHy5VPe5+10g+GWfLqvp1RLbeRuLll19GqjdSVaqujuPAPV4//PCDbnWVkgehUaBatGghWzZVn8e0XfXr1w8xUUzaYBD4zpehklFDUa9eCJPm9dex8tOnI6UsY8eO1ffTVKlSpS+//BLZ6Q+vigP3IOnNZMqXL4/YpenTp+s2iuGVV15B6YTI0F8qSYvn+p155pmyqjfffDPiRM2ZM8d45/4xefJk5HnTpk0bqe29995DnEQcuMdlzJgxusnV//73P2RQBunfv79uXxnBIylZdLnt2rVDTFQWbTMIfOd5qIQbyHTtijjJ5GhqrH9RWfdm/eyzz6y/o4py5cqF5MHmPsJr48A9SNdff728w2effTZil3QDidzc3KOOOurTTz9dvXr1pEmT6tSpgwzDpk2bMENCCgoKpJLCwkLEYaUvFkGi9ttvP63Hyq+Bu/QSUlvr1q0RJxEH7mXr3r27bm/1119/IYMyiD7lzlS9enVkBGzHjh16hkzz5s2RRBQHbagIfOdxqNStW/G8NWsiTIn774/9EubNm1e5cmV9G00PPPAAsjMLXh4H7kHST4AJn0Kdn58vs7/00kuILe666y5j6xVL+IOBOvnkk6WSiRMnIg6ljRs3ykpWqFABsXvmdWvqtddeq1Gjhk77NXAXWiGCJAr7npBy1tuByYZHKmUQ8wpxdfTRRzdu3Finv//+exQKhvTRuqBDDz0USUTx0ZaDwHcehkpFEybIjMVPWUq5Hj2K16ROHYQlli9fLp/M9Q00nXPOOcjORHiRHLgHSd9hBO5t3boVU5FYv3dHUkIWL14sNTRt2hRxKN18882ykl7OkzEP4kceeaSmmGM5Hwfu2o3E3nBBCPueEM369et//fXXZ599dujQob169epm6Nu375AhQ5555pnffvtNPrGhaKL+/PNP3cyqT58+yKAMYj7fQd16662aftRRR2nKGcE8U10+LbRt21YXcfvttyOVKG7aeBD4TsdJidWvM/7+O8LU0pV59lmEjl9QhXxWR17mwkvlwD0w33//vby9wZ04cccdd+gWFEhKlNQQ8jsO77PPPrKSMsZD7N7uu+9euXLlVatWIQ5m4H7TTTdJhcm/w2aaDdxlUL7vvvvqux+P/fbbb9q0aZjZjRdeeAFVGMaNG4cMyiDPP/88NrBhzpw5yDB8+umnyMjJmTRpElL9IPs56s3J+eOPP5BK5Ia2HwS+S3SoVNSmjcxVdNZZiFPul1/MF/Liiy/qm2aSo4mWynh4wRy4B2b8+PHy9o4YMQKx3+bOnatbUCApUb5UEqi8vDxZQ3/vkh7EwF2fopr8biTUG880a9YsvYDX1Lhx4/79+99+++3vvPPO8uXLlxmWLl36wQcf3HjjjUcccUTt2rVR1HDggQf++OOPqK4sZ599NmYz/Pbbb8igDHLOOedgAxvWr1+PjNIOPvhglPDjvMBRo0ahrpyc8847D6lE7mkrQuA7HSe5rV/62ATmCljR/vvLKhUdcohM65smCgoK/vzzTy2QDfCyOXAPzKBBg+TtffvttxH77YEHHtAtKJCUqJYtW0olS5YsQRw+vrxMmyAG7ps3b5YK69evjzhZQr0nCPmUWaFCBX27c3NzjzzyyA0bNiCvLEVFRTKUtz4Ar1KlSovKusmA9SJFWXR6PR+Y4tS6dWts45ycihUrIjWKVatW1apVC6Vzcjp16uTqAUnShORDo3nKnWjXrl3yz4qjDKNtCYHvdJzktv6qVWWW4nPcQ6WoCK9ly5bnnntO3rTMu2lMmbS1CA7cAyLHBXl7gxsNd+zYUbdgV893avrXv/4l9bzzzjuIQ0aaqKxeI78f/hDEwF1IhQnfADRhod4TzLFOQUGB7TQGtz744AOtSkS76Z7tIkXemy9Tyec3bGM3P3ItW7bssMMOw2yGhg0bDhgw4KGHHvr5559RqISM1EePHt2/f3/bNXDnnnvutm3bUIjIA21RCHyXwFBp8WLXsyTNqacWr9igQQizj7YWwYF7QJo2bSpvr/eL66LRzSc+/fRTJCXqhhtukHpkWCVj2RDSez3tueeeWF2fSM3G++f/wF0gSJaQ7gl6P1Qh77WPJwFbzxJ7+umnkWqYMWMGMgzXXXcdMiiDrFy5EhvYMGTIEGS4MXXq1B49eqCKOOTl5R1yyCEeP3kS2WjrQuC7BIZKPXsWl58yBaF3t9zyz2rIn+PjsTtaSbbS1iI4cA+InhoQ0E/05pWp+fn5SPLA9lyacPL9xHEO3INlftE+fvx4JPnK/FTQsWNHTbn66qs1RX3++eeaTpnk448/xgY2eH/usd7aaNSoUT179qxUqZJ03OXLl5d/W7Zs2bdv3wkTJshnzs2bN6M0ka+0GSPwnduhknk6il8KC/9ZB/3zeH5LixbFlSR0r4IMoK1FcOAeEH17EfhNKxe+nEP/5JNPoroQ69SpE1bXJxy4B6WoqEjfhdzcXH8vKLZZtWqVLqigoKBLly46rdKyX6Oy3HjjjdjABi/3mSIKA23JCHyn46T463/jjeLC/n1JViRVmeugfx4H7nPnFlfSti3CLKOtRXDgHhB9vk8QFy/pSTiiVatWSPLmnnvukdqGDx/+SShNmzZNVq+t37sqB+6BWLNmjb4FBx10EJICtscee+gSVcgfSUAJ6927N7axTz81EqWctmcEvnM5VCqSzlMK+3Xv9p9/xtI7dMCE/Hm/olTrSfTBlmlNW4vgwD0gOpxYsWIFYp9cdtlluuEEkjy79tprpbZXX30VccisX79eVs/3R4kHN3DPzc1FkCxh2RMKCwv1PR08eDCSkqJv37663ICes0MpZ71NUB3HMxSJ0pQ2aQS+cztUkkOXfytTlJeHpe/ciQn58z5wb9WquJ7lyxFmE20tggP3gBx66KHy9s6dOxexHyZMmKBbTSz3r932799fKpw5cybikNm6dausXvXq1RH7JIiB+/bt26XCypUrI06WsOwJ+oZeeumliJOoX79+sugKFSogpkyxbds2bVdKNjQyiNKftmoEvnM1VFqzprhkWbdVjdfdd+uii668sjg018T7wP2GG4qrHTYMYTbR1iI4cA/IddddJ2+v7aYXXnz++ee6ycQbb7yBVD9UrFhR6tyyZQvi8NFXjcAnQQzcN27cKBW2aNECcbKEYk/Qk8MOP/xwxEnXoUMHWYGWLVsipvT366+/Fu+jJe677z5kEGUEbdgIfOdqqPS//xWXPPNMhB4Zyy0yF62rIX/eB+5LlxbX3LAhwmyirUVw4B6Q1157Td7e0047DbE333zzjW4vMXbsWKT6RKtFEEr64JS1a9ci9kMQA/f33ntPKhw4cCDiZEn9xpOGLq9c3lPEKWJs0JxHHnkEMaWz//73v7pB1VdffYUMokyhbRuB71wNlW68sbikL8OLLl2wXHOYrqE1xQupJ+lPSwkDbS2CA/eAbNmyRd7evLw8xB4sXLhQN5a4+uqrkeofqbbMxw6mlp7D7P2O9VZBDNz1weqTJk1CnCwp3hN+++03fSsRp455aSwflZruzjzzTN2UKv5H7RKlEW3eCHznaqh0xBFSsujLLxEmqujXX7HQBg2QJMw18WvgLn/ZR1uL4MA9OLm5ufIOI0jU0qVLdUuJf/3rX0j1z7PPPis1H3PMMYhD6ZVXXpGV9PcsjCAG7gUFBVIhgiRK8Z6gDd3f87cSNmrUKFmZ5J+uRD7afffdi3dNQ/IvGSFKGm3kCHyn46T46i9q27a45NKliBNWqRIWan36gabIHwfuHmhrERy4B6d169byDn/p4ROs9RGBRx55JFJ9teeee0rlS5YsQRxW+iYg8IPvA3fz9uWIkyiVe8Jdd90lr7latWqIQ0Av2vj6668RU1opX768sR8V69q1K1KJMpG2cwS+03FSfPXvrFWruGRhIeLEPPmkLrHorLOQosw14cDdA20tggP34MyePVve4YRvQL569WrdRqJXr15I9ZU51pQJJIVVuXLlZD1XrVqF2DPfB+76VW+Sb4SoUrkn6JsYqjMZ5s+fr2uFmNLEsmXLdMOpCy64ABlEGUqbOgLfuRoqxV8yhmhLNNN9GbiXLx9hEVlAW4vgwD1Q+iYnNizWeYWMWe+8885bo0v4sd8yZpX60+IGa7qqRxxxBGKXdu7c+c4777xb4qOPPtKvZcVNN92EVANmcE9PGJGPW4iTKGV7gt6g1MevRf36BKnf2s6ZMwcxhd6HH35YvDuWmDJlCjKIMpe2dgS+czVUqlGjuKSHb9yLBgzA4qZNQ5JJ0+WP37h7oK1FcOAeKL1Fugy7EcdN7wgePy+fDX7360FpQdqxY4eurbwzSHJj4MCBOnuZRo8ejXnc0C955SMW4uRK2Z7g40n9p5xyivH+F0OSBz/88IPU07hxY8QUbtdff71uerVo0SJkEGU0bfAIfKfjpPjqxznuK1cidkuGkrqsWrWQYqVZ8seBuwfaWgQH7kHT9xmBGzpjnDCPGzNmzJAZy6fPXZUOO+wwWeFrrrkGsRsDBgww3qey/ec//8E8btSrV0/m9XI9gxep2RP0umkZuyNOlA6yrZDhjZ5chYBCrEePHrrdRX5+PlKJsoA2ewS+k5r1Lx6HHCIli77/HqFLRfXq6bKKIp7Paq4JB+4eaGsRHLgHrUuXLvI+33zzzYjjtmTJksXxWbZsGeZxQ0/ynj17NuJ0YLTZRLb7jh078GaVBTO48eOPPya8Yr5IzYIHDRokr/mJJ55AnBDdPWyQ580ZZ5whVY0aNQoxhdJuu+2mG13UivhdHVHm0paPwHdSs/7FY8SI4pKJPTPym290QUWHHYYUG3NNfLmps9STol+3U0tbi+DAPWjmnWEQh8PTTz8tq1SpUiXEaUIfbH/IIYcgDgdj8+a89NJLiJMuNW1LXzYC9/RpVaZPPvkEU/7tKlJVs2bNEFDIbN68WTe3GjBgADKIsoY2fgS+k5r1Lx5TphSXPO88hK7UrYsFNW68q2nTCH+aK39SUsImTYoSfiRNYaHUU1S7NsJsoq1FcOCeBMcff7y81c2bN0ccArr1//rrL8RpYufOnbrma9asQVKq3XDDDbI+VatWRZwKqdkT5GV7Oanf2I7Fhg4dakvR0Dt/ayMf2c6Puu+++5BBlE20/SPwnY6T4qz/jz+k5E4ZWCegWrV/lhX/X2LGj5d5i7LyllPaWgQH7smh7/ajjz6KOKXkI4SsTP/+/RGnlZdeeknfTMQpZT6pc9OmTUhKhRS8F9OnT5eX7aUNyeytWrWyPuLUeCeLIfasQ4cOUltaXHydVcaPH68bWn3++efIIMoyugsg8J2Ok+Kv31Vhq549/1lWfH9FBxyAed1q3764BvmYkX20tQgO3JNj4cKF+oan/IbXw4YNk9VI62vAevbsKS+hadOmiFPH2KQ5d911F+IUScGe8O9//1teub/37NN3UyD2TFfys88+Q0wh8K9//Uu3stq6dSsyiLKP7gUIfOd2qKR3hAzi52xzTbzfwEHr2bEDYTbR1iI4cE+ae+65R9/zHalrcs8//7yuw7Zt25CUnvRVnHjiiYhToVatWrIOYXi2Ywr2hAMPPFBevL93rTe2aTHEnk2aNElquzrhkynJb82aNdNNLAoKCsL/4DeiQOm+gMB3bodKjzwihYsOPxyhj8w18XhXmZ9/Lq6kSROEWUZbi+DAPZmOOOIIfdsRJ9esWbN06Z/6cmF3ShUWFuprufHGG5GUXPXr15elV6lSBXFKpaA9NWnSRF6/v1+XGhu0GGLP9EmcHTt2REwplZ+fr9tXdO7cGalEWUx3BwS+03FS/PXv2FFcOC8PoY/MNfE2cC866CCppCgc5xwnn7YWwYF7krVs2VLe9uQ/qeftt9/WLf7iiy8iKc2tWLFCX9HgwYORlCxNmzbVRSNOtRSsR/Xq1eX1+/uNqb6nArEfpDbeZDDlli9frltWXXTRRcggym66RyDwnY6T3NSvj2Eq+uorxH4x18TjN+4uX06G0dYiOHBPvj322EPf/KRdNWeepfPYY48hKSMsWrRIX9ehhx6KpOBVrFhRlhiqB1elYE/Izc2VdwGBT4xNWQyxH3yvkNwyvzNQ05yPQ6fs89RTTw0YMKB58+Y1a9YsV65cniE/P1/C3Xff/fTTT3/uuedQNKPpToHAd1Kz/sXvk0+Ky1eogNAv5pp8+CFSEnDttcU1hOxu0MmkrUVw4J4Sffv21ff/7rvvRlJgzK+HM+AMGaeNGzfqq5PxdNAn7s+ePVuXJQcXJIVDCvYEfSMQ+ETrFIj94HuF6eXbb7+VD+vnn3/+fvvt16hRo1qGhg0bSnjGGWeMHz9+zpw5KBqMq6++WjeBko/ayKDs89Zbb3Xq1AlNIW7777//rFmzUEXG0deIwHdSs/65YsxS9NNPCH0xePCuzp13HXbYroTvv1ZUhBVbvx4p2Udbi+DAPVUefvhh3QRyGN2yZQtSfTVlyhRdhEi7W7a70qBBA32ZwZ3yrs9+EgMHDkRSaKRgT9DfHRD4RN9fgdgPUltBQQGC7LBhw4YRI0boTyJxksKXX3752rVrUYVPunXrhgUYP1HxUtTstHXrVn2MsUmOeSNHjvw+ytP1pZ3MnDnzqquu0guJTBdddJH17rGZQV8aAt/pOMlt/QF96e5N0aBBxWvVoQPirKStRXDgnkJyhK1QoYJuiFNOOWX79u3I8GzVqlWVK1fWmrPkMjAZeOjrzcvL+9L7LacsrHed/kT6tPBJwZ5Qr149eTt8bLJC32KB2DPp3aS2vfbaC3Gme+ONN2xjnf3333/UqFGff/75n3/+uc1i6dKls2fPvu+++/TuQKa6des+ndgzzx1q166NSo2BGlIpyxxwwAFoBDk57du3nzdvHjLiJg21devWqCIn5+ijj0ZGRtAXhcB3CQ+V6tWTuYr+8x+EKbd+fYIvJLNoaxEcuKfczTffjI2Rk3PcccchNVGLFy/W5yupr3y/yCTE1q1bV6NGDX3hubm5kydPRkaiRo4cqbWJo446Cqnhk4I9QY7B8qbIO47YD/pGC8SezZgxQ2o7/fTTEWcu8z6vQpp+Aj883Xbbbda7vowdOxYZ7m3atAm1GI455hhkUDYZM2YMWkBOzsUXX4xUDy688EJUl5Pj18fLlNOXg8B3CQ+Vtm/HjBs3IiW1atUqXpnrr0eYrbS1CA7cQ8I861299NJLrn64/uWXX6RvxMzGt84PPvgg8rLMF198sdtuu+GNyMk57LDDXH3Ls23bNhnvNWzYEPPn5LRp02bz5s3IDqUU7AmnnXaavDXffPMNYj/o2y0Qe3b77bdLbRMnTkScieSzU0FBgb5vjRo18viANzketGrVSmuTcfySJUuQEbcffvhBZ1f33HMPMihr7Nixw/zBd9CgQUj1SZ8+fbTm2rVrIymd6WtB4DsPQ6Wia64pnrFiRcSpU3TuucVrkmVnPEakrUVw4B4eO3fuvP7667FhDLm5ue3atbvgggumTZtmGzvOnz//gQceOOSQQ6yPNBEyZH/nnXdQKIv9+OOP5ghE1atXr2vXrrfccsvcuXNRqMTs2bOHDRvWqVOnqlWrorShf//+/j5iKCAp2BOeeuopeYOuvfZaxH7QN10g9uyoo46S2n7y9yqrMDn//PP1HZOGu3z5cqR6tmnTJvOSdldnJjzyyCM6l8qq3/tIffnll7r1ZWBdWFiIVF+ZdwIWy5YtQ2p60leBwHfehkpFu+1WPO9++yFOiU8/9fISMoy2FsGBewgtWbLk9NNPN7+ziMdee+0lg37MTxbjxo3r3r073qb49OvXb/r06Zg/HaRgT9ixY4e8UxV8vYBJ332B2DOtbVuaPyU4mlrGk3tFQI9m+PTTT7X+OLfyCSecoOWVvw/norTwwgsv6NaXj5RICswxxxyjywrnhUdx0peAwHfeh0o6+3nnIUyyP/7QFSiaOhUp2U1bi+DAPcy2b9++atWqKVOmnHLKKT179qxSpUrFihVlQC8Thx566LBhw2bPnr1mzRqUppjWr1+/cOHCO+6446CDDpI3UBQUFMi/rVu3lpH6008/vXz58rTcHWSHwP/JpT0IAj9ohQKxZ1JV2O7c6QvpF/SNku7A3+uDneQN1GVtinkfN/O+TiI/P583kMlCemaaCPoeo6aJEyfqEtP3xFBdfwS+03GSh/qL772oNVx2GZKSZvFiLPree5GS9bS1CA7cidJdavaEtm3bSg/i40FauySB2JupU6dKVWG+pjgxf/31l75Lffv2RVLATj/9dF2ifPBFUml5eXlaQGTJTazIRs+dEz///DOSkuKzzz7T5b733ntISiu68gh858tQacUKVJLMGyF/9pkutPgukFRCW4vgwJ0o3aVmT/joo4+kBznwwAMRe6ZdkkDsTZ06daSqoL+QTjLzu/YLL7wQSUlxyy236HLXl376ydKlSzVdXXHFFcigbCKf3rUBpOSM888//1yXnrRHkftI1xyB7/waKslm1XpatEBKkIquu04XVxT88ynTi7YWwYE7UbpL2Z6gnQgClx566KFupWltArGhT58+mMGNzZs3a1WIM4W+qCSP2tW9996rSzc/C1kf8CZee+01TaesUlhYqA3g66+/RlLSSdvTdUCcPoJdbalZ/7zbunVXfj5q++47JPquqKioaVMs5YUXkEgltLUIDtyJ0l3K9oTevXtLJ3LTTTchdqNu3braB5UJM7jRv39/mTGxFQstPY/8gAMOQJx0Z511lqxAbm6uTF9zzTXF26ZEOn7ZSb4oX768NIAbbrgBcYocd9xxshppd49IY+9Jh4G7oahrV1S4995I8tFtt/2zwn4/xTkzaGsRHLgTpbuU7Qk7d+7UfgSxG0cccYQMActU4P72vUVFRQmvVWjpk4Hz8/MRp4g+4axixYrGG1xMxm28FDVrXXrppdIG6tevjziltFk+9dRTiNOBsQ8F1lPpOMnf+l95xay26KKLkOhN0bPPmnXuOvVUpJKDthbBgTtRukvlntCrVy/pR0aOHIk4BI488khZpfNSdQuzAGzZssXornPCMETWNdEfTBo3boxUyj5bt27VxoA41TZs2BCq9YlHsCus46QA6i/q18+svKhdu11//YUMVzZv3jVkyK68PNRTtequ0pfQkI22FsGBO1G6S/GeoF1JQA9bccu86QrijKDPRg3JY971ouSKFSueccYZSKKs1KRJE2kJofrQfvLJJ8sqJXZhTErI2goEvgt6qDR48D+LkL9DDimaMGFXmfcDmDFj17/+VWSeMS9/LVrs+vFH5FJ02loEB+5E6S7Fe4Lev7lp06aIUyo/P19WZtKkSYjT38svvyyvqFy5cohDoH79+rJKIfkgQSmxadMmaQMCcWjoWu3YsQNxuOnaIvBdcoZKr766q0GDf5Zl++ve3Z5i/hUUFP3736iE4qCtRXDgTpTuUr8n6Nml1157LeIUOeKII2Q1dt99d8QZweioc3799VfEIbB+/XpdK8SUfQ4++GBpAP/9738Rx2HZsmVLly5FEJ+FCxc+//zz991337Rp01auXInUmM455xxZsXT5OcjYjdJ84G6aNavo5JP/WWiUv6L99iuaPHnXunWYi+KmrUVw4E6U7kKxJ2iHMnfuXMRJ9/rrr+s6IM4In376qbyiGjVqIPaJ99vb623yn3vuOcSUZWTr5+XlISjLuHHjivdMw8cff4zUmI499ljMUFo8D0mVYrnGvY/CT18UAt+FYaiU3AdyZTZtLYIDd6J0F4o94ZNPPtE+ZV0qvkr55ZdfdOnLly9HUkZo2rSpvKhVq1Yh9mbTpk0yoNE3SvTr1w8Z7q1evVpqqFmzJmLKJv/9739l6x9zzDGIo9uxY4c0EqO5gXwWRV501mfxOrVu3RrloujevbsU++ijjxCHmL4iBL7jUCmzaGsRHLgTpbuw7An33XefdisbNmxAUlL8+OOPutx3330XSRlBH23j4y0g9WOAqWvXrshISLVq1aSStDyEkDd6T6Eyf7e5+OKLjYZWSpkD9woVKqBoTs79998vH8VlQbNnz+7QoQNSc3IGDx6M0pF89dVXUmaPPfZAHGL6chD4jkOlzKKtRXDgTpTuQrQnmIfqn5P1C6ne5EQ88sgjSMoUo0aNktd16aWXIvZGRzOiXLlyOuFx4K4XJQ8ZMgQxZYd4nt6wdu1aLaNk38RUWQP3yy67DOUi1b/ffvshLydHVgOpkWgZBCEW7HpKzfpHGUFbi+DAnSjdhWtPuOOOO7Rzue2225AUmHPPPVeXNW3aNCRlEP3q0a/7Y+j9dsSDDz6oEx4H7kIqKV++PALKDgsXLpTtfvjhhyOORJ+pLA4++GBN0VDEHribp3J9+eWXSCpNc4X0M0iKpGrVqlJm69atiMNKXwsC33GolFm0tQgO3InSXej2BL2DoWjWrBmS/CaHZD02izlz5iA1s+irQ+DNzTffrLVNmDDB/GTly8BdIKDsoE9LjX1d8tFHH12zZk3rtRnaVESMgbt+JBAxTg878cQTtUz16tWRFMndd98tZUaNGoU4rPS1IPCdjpO4h2YKbS2CA3eidBfGPWHbtm362CBxzz33INUnOnQQ1apVi/2Lefr6+eef5QWWeR1ePMxzGypXriyhjwP3Pn36SD2zZs1CTFlAn7u0adMmxPExWlyxGAN3fXyS6Nu3L5Ic/vzzTy0jkBTJ0qVLpcAhhxyCOKzKfCGecKiUWbS1iHR5TEEpbI1EFuHdE4YNG4aexqfn9dxyyy2oLoDPA6Hy/PPPy2v05SvD/fffX9+xFStWSOjjwP2JJ56Qeu6//37ElAW08SCIm84lYgzcUaKsM99QKOY6bNmyRQqE/5EOZb4QT3ScFFz9FKTVq1c/88wz+nCSaKpWrTpgwIAXXnjB7QfpFGBrJLII+57Qpk0bdDM5OYMGDXL7EBaxYMGCgQMHogo/Rpzhd9FFF8krnTlzJuJErVy50vam+ThwnzNnjtRz4oknIqYsoI0HQdx0LhHPwL2wsBBJkaBQyQfRaKSAj3dkCoi+EAS+41ApDUnjP/zww8uXL69tw5SbmyvtWdKV9ca+SnKPO+64bdu2oaKwYWskskiDPWHdunWtW7dGB2N0MXvuuefUqVOlkyoqKkIhi507d27ZsmXixInNmjWz9lD77bffxo0bUSij9ezZU16v99vSV69eXd8689dVHwfu+r1m/fr1EVMW0MaDIG46l4hn4B77RpMolJPz2WefISkSLYMgrIJdSR0nhf5NIPXqq69qe1AVKlQYOnTojBkzIh4ilRxAP/roo/PPPx/zGAoKCt58802UCA+2RiKLdNoTxo8fb71Pc5xq16798ssvo4rs0Lx5c3nhmzdvRpyQV155Rd/Am266CUm+DtyFVoWAskBiW1znEvEM3GOfwotCOTmTJ09GUiRaBkFYBbuSUrP+Ubi9/fbb2hJEtWrV7rzzzhiD9WhklptvvrlKlSpaT25u7hdffIG8MGBrJLJIyz1h8eLFgwYN2meffWrWrGl7UGL58uV32223Tp06XXXVVWvWrMEMWUYv7UWQKPP9RGzgwJ28SGyL61winoF7PPdoFw8//DCSItEyCMIq2JWUmvWPwmr79u2NGjXSZiB9/uzZs5HhwVdffWXeGWKvvfZCasqxNRJZcE/IQNrtIkjIWWedpZXYnv3OgTt5kdgW17mEj9+4x74lpZZBEFbBrqTUrH8USnpxv5Bx9sKFC5Hqky+++EIrF//73/+QmkJsjUQW3BMyUJ06daTDTfhKIxn6aJfdsGFDJJXwfeCem5uLgLKANh4EcdO5hI8D91dffRVJkUgB229NIaQvBIHvOFQKsW7duunWv/3225EUAPNRxDFusZokbI1EFtwTMlDbtm2lt127di1il5o2bar99fr165FUwseBe1FRkdRTq1YtxJQFtPEgiJvOJeIZuMf+vIpCOTkxTuHdunWrFGjUqBHisNIXgsB3HCqFVbVq1XTTL1myBEmB+frrr3VZKb47KlsjkQX3hAx0zDHHSFf7448/Inbj888/1576+OOPR5KFjwP3xYsXSz1dunRBTFlAr36L/aW4k9HiisUzcI99ZQsKxRwBrFu3TgoccMABiMOqzBfiCYdKoZSfny8bPZn3KpW9tVy5crJQfQZfarA1EllwT8hAd911l/Szse+bEU3xWMBQWFi42eHmm2/W3M6dO2/ZskVSMJt777zzjtRz7bXXIqYsoNdOvPfee4jjY7S4YvEM3J955hkkRYJCMUcAUoMUuO666xCHVZkvxBMOlcKnUqVKssWbN2+OOIl22203WXSDBg0QJxlbI5EF94QM9PHHH0sne8YZZyB2o3gs4BLmdGnEiBEy75QpUxBTFvjyyy9lo7ttmUYrKxZj4L7HHntomXbt2iHJ4bnnntMysa+s0LupLlu2DHFY6WtB4DsOlUKmZs2asrlT+OAL/blszz33RJxMbI1EFtwTMpB5dSliN3RGV2LfgC+aqlWryrwbNmxATFmgsLBQNnpBQQHi+BitrFiMgfvUqVO1TLly5ZDkIGMOLXPxxRcjKRK9wyyCENPXgsB3Ok5Kh/chGwwaNCjYzR0fXYebb74ZcdKwNabUyy+/fNZZZ3Xp0qVZs2bSe1cwVK9evUmTJt26dRs6dCi/gEsy7gmZSXtYBG7ccsstw6Pr3bu31tywYcMRI0ZIyujRozGnS1IJbymThSpWrCibHkF8jBZXLMbAXT4BolBOzjvvvINUi2XLliE75nXbf/75pxRI5em8cdPXgsB3Ok4Krn6K2+zZs3Vbb9myBUkp8vfff+uaLF68GEnJwdaYdNLZduzYUTd3/I4++uj58+ejCgoM94TMJB+OZS/64IMPEPvEr4tTFyxYIJXUrVsXMWWNSy65RDa9qzPIjRZX7LPPPkNSJJ07d0Y5x2ODi4qK9AI7EfuxMnoW/sSJExGHmL4cBL7jUCk0dEN/8skniFPqhRdekJWJ8btWINgak+jwww/XJmc655xz3njjDfm0tnbt2p0lduzYsX79+l9//fXZZ5896qijUNRQUFBw+eWXozoKAPeEzLRo0SLZfzp06IDYJ34N3A844ACpZO7cuYgpm8imj3FbjKVLl+67774dS1iH461bt0aqkS4HD8xTAuUMvXr1+s9//jN+/Pjjjz8eSQYUjSKeMiER7KrqOClN3ooMdtxxx8lW3m+//RCHgF4E8u9//xtxErA1Bq+oqKhv375Gp1JMOuGIP13GNm7cOL0YQ1166aXIIF9xT8hYQZyq69fAXStBQFmmfv36svWjnfdy5ZVXavMok/Ne7HqiSzSVKlVCuShGjx4txfbYYw/E4aYvCoHvdJzEnTSl5KOpbmUZVCEpBMy1cn5yDgpbY8Cuv/563abiqquucnvHXpvCwsL9998f1eXkTJ06FRnkE+4JGevYY4+Vfebuu+9G7AdfBu6PPvqo1HD44YcjpiyjT3WpUKEC4tJmzJhhNLGyRTvl96KLLkIJi3HjxiE7Oj2dRo46iMNNXxcC33GoFALt2rWTTXzjjTciDg09oyyxG5clgq0xMNu2bTM6kmKXXHIJUn1y8MEHa83NmjVDEvmBe0Imkx3G3wtA7733Xt0P99lnHyS5pzXEfsIlZbbKlStLG3j77bcRh8D48eNllVq1aoU49IzdiAP3jKW3YPJxE2/evPmXX375yrBo0SKPH1D9XbcysDUGw7wZV3B36P/jjz/0qWEi/PfYTRfcEzLZYYcdJnvLiBEjEPuhyIDAvTFjxsgqVatWDTFln3Xr1pUvX97oycPS/4TznITYdIUR+I5DpVQbOnSobF/5F7EHo0aNKigo0AZjVbNmzZ9++gmFXNLnc48cORJxoNgaAzB8+HBtBkl4DKJ55sy7776LJPKAe0Im27Jli+4tiENA10e98cYbSKWsocMR07HHHouMlOpo3Phs8ODBiNOBvoEIfMehUqr5sn2XL1+u9USz9957o6h7MnvFihURBIqt0W/mJfvz5s1DUsD0Ozvx8MMPI4kSxT0hw40cOVJ2lZYtWyJOqQ4dOuiua9ptt93+/vtvZFNGizaGeP/991EiRZ588kldE8RpIth15lAppb755hvZuDFuvhSPtWvXaiNRBx100K+//rpixYqVK1f+8MMPJ510kiQeeOCBKO1ehQoVpAapE3Fw2Bp9dc455xgtImf16tVISop3331Xl/vUU08hiRLCPSHz5ebmyq5y7733Ik6RiRMnymrIyuhz7618+TmYwmzIkCHY2IaqVasWFhbOnz9fQ483MfBiyZIlug7pck2qSVcbge84VEopvbWAxwdxaAsRNWrUQJKv7rrrLqn8lltuQRwctkb/6FYTmzZtQlISzZs3T5f+9ddfI4nc456Q+czH3SXjq5EopI/QdVi5cqWmmB/6TbEfr0NpyvrIUvXEE08gz3hSryam5ORys1k+/vjjSEofuuYIfMehUkpVqVJFNu769esRu3fzzTdrC8nLy0OS3/Q3NI8/C8SFrdEn+kuO+Ouvv5CUdM8884yuA29QkTDuCVnhrbfe0l0lJeelyJhMl/7ggw8iybBjx4569epplmrUqBF35kxy/vnnY9MamjRpggyLU045RXOTd1togzlqv+yyy5CUVnTlEfiOQ6XU2bp1q2xZjwNubR4i0EfQ6yIQBIet0Se6vaZMmYI4RQYNGiSrwXtUJIx7QrYYNmyY7rTJPy1Bb489cOBAxKW98cYbumImf2+DQymxfv16PQXW9MwzzyDPoU2bNlLA31uXxmaecH/UUUchKd3o+iPwHYdKqfP777/Llu3YsSNi9xYsWKDNQ/peJAVD+3YEwWFr9EOLFi1kY/Xu3RtxSsmoXVbmggsuQExucE/IIjJGKe7Lc3LWrFmDpICZt7Xp0KEDkqLQczqtvvnmG+RRujn55JOxFQ3x3Bxd7y4noj1R1UcvvfSSLmvIkCFISkP6EhD4jkOl1Hn77bdly5566qmI3RswYIA2j+uuuw5JwdAn7DifYewztkbPZs2aJVsquPOm3DLvwLtx40YkUdy4J2QXORjo3hJ4V2v51uewww5DUkx///23fgo3tWvXLoWXLVIC9MtCq5dffhl5Zbnmmmt0lkCfyNi9e3ddyn333Yek9KSvAoHvOFRKnSuvvFK27MSJExG717BhQ20eM2bMQFIwHnnkEVlK0B8P2Bq90/aQhON+/EaMGCGrxIeqJoB7QtbRG0SK4447DkkBuPTSS3Upbu+Nbd6bz3THHXcgj8LN/NZcNWjQwO0lp99++y1mDuCr9ylTpqDqnJw//vgDqWlLXwgC33GolDr68+Ps2bMRu6d3EhO6A8q/K1eulI5U+vzLLrtMPrL6dQ+lzz77TJZy+umnIw4IW6M348aNk81Ut25dxKGRl5cnK7Zu3TrEFB/uCdnIvCWT+PLLL5Hqkx9//BFV5+R88sknSHXpwAMPRBUlfvnlF+RR+MydOxfbqcSzzz6LPPf2228/rUS69YSbkJWee6COPPJIpKY5fTkIfMehUuro8y68PB9e24ZYv359165dEZRWUFCwcOFCzJAo/YUt8NOm2Rq90S2+ZMkSxKExadIkWbHWrVsjpvhwT8hSRUVFeqmKqF27ti8feeUgYf5EW69ePY9nuchxy/aY7u7duyOPwuSQQw7BFjK0bNnS7RftTnKMqVy5slZYoUKF8ePHJ3C7ocLCwltuuSU/P1/rqVatWkpuXRwQfVEIfMehUurUqVNHtuzmzZsRu6Q3pYmTfOTGbAlZunSpVCKfDRAHhK3Rgy+++EK2UePGjRG7J0f2ESNGmD/jqLy8vPfeew8lPNDa+KW7K9wTstrs2bN1txHyqfeNN95AhksffPCBzI6KcnLeeecdZHhmPifZNG7cOORRqplPUDJNmzYNeX6Q9mn98Fa/fv3zzjvvxx9/RHYUMhY588wza9SogdlycmrWrBnoTfFSQl8aAt9xqJQ6+o37n3/+idilVatWadswvfDCC5KoufJp9rHHHkOGQdMTo88v8/L41biwNXpQt25d2UY//fQTYpf2339/o5lEtttuu6Fcoi677DKp54YbbkBMceCeQLumTp1asWJF3Q9F+/btX3755TI/AW/YsOH111/v1KkTZjNYn63jIz2SmeSj/9KlS5FHKWLepEi1a9cOGQE444wzsBiHqlWr2r4KMkn6RRddhCoyjr5GBL7jUCl19J4wc+bMQeySfguuXnvtNaSW9ttvv6GEt6eP6Tnu8jkZcUDYGhO1fft23cqIXbIe3ytVqtS1a9eDDjqofv36SDLUqVMHpRNi3l4GMcWBbxbB8uXL99lnH92FTJUrV65Xr16zZs06duwoA3qZkFCf6mfVtm3boEfSP/74o2181qdPH+RRcn333XfYBiW8XEgXv40bN77xxhv7779/fn5+xMG6JEpWjx49Pvzww5Q8ayyZ9CUj8J2Ok3g0TQX9DnLSpEmIXVq7dq22DYGkSPSLWHHAAQcgyb3x48dLDf/3f/+HOCBsjYmaPHmybKCEby3apEkTmb1Vq1a28+P/+usv62M6FixYgIyEaCUIKA58s8ju+++/HzFihJ5nGYMUuPLKK7/99lvMlhTXXXcdFl/ipZdeQh4lhd652dSzZ09kUHLp+4/Adxwqpc4777wjW/ass85C7NK2bdu0bQgkRWI+bEFGYEhy7/DDD5caZs6ciTggbI2Jkk9lsoHeffddxC6NHDly3rx5CEqTsbvRfIp169YNqQnRT6q33347YioL9wSKy/bt27ds2YIg1czLalVBQUHSHimVzb788ku84yVmzZqFPEo63QQIfMehUuroieP77rsvYve0bYjffvsNSQ7Wy4eQ5J5e+Y0gOGyNifK4fWPTyoXHs2X0kS/t27dHTGXhnkBpyXpZrTrppJOQRwGwnUbVo0cPZFCK6IZA4DsOlVKnsLBQtmxBQQFi98xrlmLcb+Dyyy/XMpUqVUKSe3rGGoLgsDUmSraOfLhC4Dfzxl9NmjRBUkKKioqkkvA81TX8uCdQGjv33HO14zD5eEMbUtaboKtQPX4va+m2QOA7DpVSSgbTsnETvk6jZcuW2jxOO+00JDmY93dP+J4wGzdulNmDGxf+g60xITt27JANVK1aNcR+M5pPsQsuuABJidJPgN7vI5wluCdQepO+yXY6voSZdLvu1GrTpg3eVgNvpR8eukUQ+I5DpZTq06ePbNz3338fsUvXX3+9Ng+BpNLMm42IhG8FNnr0aJn92muvRRwctsaEvPrqq7KBzj77bMS+0mdvKe93YW/WrJnUw1Ne48Q9gTKB81vhIUOGII8SMmXKFLyVJb7++mvkUQjoRkHgOw6VUkqvJ/HyXak2DzFhwgQkWZx66qnI9rCJq1evLrN7f/xq2dgaE3LrrbfKBho7dixi//z9999G2ynmy3NPu3XrJlXxLs9x4p5AmePYY4/VrsTEkzoSY32clujfvz8yKDR00yDwHYdKqeZx+1rvwD1+/HikGqxPYHj66aeR6pLeftvLifgusDUmZMiQIbKNpk6ditgPRUVFxx9/vNF2ilWpUgUZ3ujjtxctWoSYYuKeQBll48aN1odJiRYtWmzfvh3ZVBa9FZ0pNzd38eLFyKMw0Q2EwHccKqXaeeedJ9v3pptuQuyetpAYZASPou7pU6KuvPJKxIFia0zIkUceKdvoq6++Qpwoo7HYNW/e/IEHHkAJz0455RSpM/D7imYK7gmUgZ5++mntXEx8onI8bLeOOfbYY5FB4aPbCIHvOFRKtfXr13vcxDt37mzUqJFW4mT7Gt4V82mXSbqakK0xIXqr/s8//xxxonRb2+Tl5VWsWPH1119HIW/0gQA///wzYoqJewJlrJ49e2oXY/rpp5+QR6VNmjQJ75EhNzfX48PwKGi6pRD4jkOlENAz1p588knECfn+++//9a9/NWzYUKqqX79+v379/ve//yEvUfogvOOPPx5x0NgaEzJixAjZTC+++CLiRL399ttPGK688sqhQ4c2btxYqjW1adMG5TzYf//9pSrb81kpGu4JlMmWL1+unYtpn332QR6VsHXEJ554IjIoxHRjIfAdh0ohoPe3Fjt27EBSCKRgrdgaEzJu3DjZTKNGjULsq4svvlibgfB+qUP79u2lHjleI6aYuCdQ5rM+I1D5eHJePN59993rr7/+iCOO6NatW/Xq1WsY9t57765duw4dOvTZZ5+N8YDDQD3zzDN4R0rwx8p0odsLge84VAqHo48+WrbyYYcdhjgE9Bax5557LuIkYGtMyPz582VLBXcPXzmuFfdBhtdeew2pCZEDolSyefNmxBQT9wTKFvqZ3irQm08tWLCgR48eWFJ88vPzx44du3XrVlQRpC1btlSpUgULNiTvh2/yg241BL7jUCk0dEOH5Gas06ZNk5VJ9kMu2RoTJRurYsWKCAKgp2AJjw9P1UoQUFn4TlEW0W8grBJ+amAM1rutqXPOOWfq1Kk///zzypUrt5fYtGnTsmXLPv/885EjR0qvh6KG3XffPdDj9P33348lleANdNOObjgEvuNQKTQ+/vhj3dbSaSApRcyTZKQjRVJysDUmSjZWbm4uggAMGzZMm4RAknsbNmyQ2WvWrImYysI9gbLO8OHDtaMxPfvss8jzpnfv3qgxJ6dr164fffQRMuKzbdu2oUOHYn6D98vIbOTQW6tWLdRuGDx4MPIorejmQ+A7DpXC5KSTTpJtHehXp/HIz8+X1bjkkksQJw1bY6IqVaokm0xGxoj9dttttxV3QwYkuScHSpmdNzGLH/cEykY7duzQZyybKlSosH79emS7d+WVV6KinJwrrrgCqYlatWqVObyuUqXKxo0bkeHNPffco3Uqeclr165FHqUb3YgIfMehUsjoY0qbN2+OOOkKCgpkBVq2bIk4mdgaE3XVVVfJVrvvvvsQ+22PPfYo7oZyctq3b48k9/bee2+p4eOPP0ZMZeGeQNlrxowZ2umYBg4ciLy4yWcAzJyTc/vttyPVDz///DPqzcm55ZZbkJqoOnXqoC7D8OHDkUHpSbcjAt9xqBQ++mi5tm3bIk6iBg0ayKIrV66MOMnYGhM1Z84c2XDS+SN26bvvvsNUJHqKi5o0aRJS3dMaEFAc+GZRtrvgggu04zC99dZbyCvLs88+q7N06NABSX4zb4nTokULJLl03333aQ2qUqVKhYWFyKO0pVsTge9SN1Rat27d0qVLv/3223mGxYsXL1u2DHlZr3z58rLRa9eujTgpypUrJwuVRSNOvtS1xgyQl5eXWEfxn//8R7d7xHM+Fy5cKLkmpLr36aefyuwJf7TITtwTiHb9/fffejsqU82aNbdt24bsKC666CItPG7cOCQFQ1ZPj50VKlRw9ahCeQnVqlXTlVRXX3018ijN6QZF4DsdJwVXf2mPPfZY27ZtbW3VRgYQTZs2veSSS3bu3InZspKeaC6jseBOXDbJRyZ983fbbTckpURyW2OGOe2002QL3nHHHYjjZnsqX/Pmzbt27Tp48ODOnTvbdtWVK1diHve6d+8uNfA8GVe4JxDBG2+8od2QadCgQchzOPTQQ7WMlz7LlQ4dOugSt2zZgqSY9LF5VmvWrEEepT/dpgh8l5Sh0qhRo/RVWNWvX79du3ZHHHFEX0PPnj31xuE2J5988uLFi1FRlpEPOfomBPqVwciRI3UpsgmQlCpJaY2ZSj7oykZM7AcT2wmWEa1atQql3du2bZvUUK5cOcQUH+4JRKWccMIJ2h+ZvvjiC+SVOPHEEyU92Tcz3rVr4MCBukqxfw2QAboWM8kgHnmUKXTLIvBdkEMl+eTZqlUrXX9RUFBw2mmn/fnnn7FbdVFR0bp160aPHl21alXMaVy6PWfOHJTIJnfffbe+A5UqVVqxYgVSfbJkyZIKFSpo/U888QRSUyjI1pgNunXrJpvymWeeQezG2rVr5XinlyabcnNza9eu/fnnn6NQovQz+ZVXXomY4sM9gcjur7/+0nNJTdabOVx77bWamJLbKvfv318WnZ+fj9jBdrNLeSEy3EEeZRDdvgh8F9hQqWvXrrrm4uKLL074V6Dx48fL6AEVheb5RMm0dOlSczi1xx57/Prrr8jw4Jtvvqlfv77WWadOHb/uZ+VVYK0xS/z999+6TRGHg3zgDOFapQW+ZUSRTZgwQbsVkwzZ582bp9NlngEfHL15lvNJdc4v2m+66SbkUcbRTYzAdzpO8rX+Bx54QNdZ3HXXXUj15rffftttt920znbt2rm6AiQzPPvss+YHGJmYMmVKAm+C9GbPPPOMViLy8/PffPNN5IVBAK0xe5x88smyTfWoEap7petPZ8HdqjKDcU8gisX6TCXzACnDd2SniP6Qbb1HpPVG8iLJ952g5NMNjcB3fg+VWrZsqSt8xhlnIMk/b731llYuFi1ahNRsMnnyZLx+Q9OmTc8///xffvkF2VFIP3buueeaT61X4RqyK79bY5Z46aWXsFFzcvSnWpG0i7JiGz9+vKwMz25PDPcEojIsWbJEuzwdLl900UXISJ1NmzbpKm3fvn3Lli36eDzT2LFjUY4yl25rBL7zb6i0bt06XdXy5cv//fffSA3A/vvvrwuSMQGSsszatWsPOeQQfROcqlatajsD0EoGdik59y8u/rXGLLFixQrbQaFu3brjxo3TaRRKnfXr1+uaLF++HEnkBvcEoricddZZ2tcgTjX9xsJ2JJbeGdmU6XSLI/CdjpM81//jjz/qenbr1g1JQTLP94hxP6hsIOMhGaWZN5+JZu+993788ce93BUkSXxqjVnimGOOwQYu8dprr2lWp06dJGzdurWGqaKHreuuuw4xucQ9gSguRgeY8+effyIOAdt3Kvfffz8yKAvoRkfgOz+GSrNnz9aVvOKKK5AUPPN5w3369EESpTs/WmM2eP3117Xxm4477jjkldD0I444AnHS1a1bV1agUaNGiMk97glEZXvhhRekr9lnn30Qh4N5VT6/aM9CuukR+M7zUGnp0qW6hg899BCSkmXjxo266EsuuQRJlNY8t8aMt2nTpipVqmizV1WrVo14PzG9rbtIyTmfLVq0kEXLqiKmhHBPICqbXpZaWFiI2JtZs2b973//u/XWW5988snZs2d7eRJkrVq1ZMWcd5qnjFd87A1uKON5qKSrl6r7Gm3YsEFXQHYxJFH68twaM5s+G9Uq9i3bV65cqcWOPPJIJCVFvXr1dLmIKVF8B4nKoL/4t2rVCnGiVqxYYfZcNgl/Za63p2zatCliyhrachD4zhwq8Y9/4fmj0j766CPtB0y9e/dGXkzmnd0bN26MpCBt2rRJv/yqWLEiksgD7glEZejcubP0OB6/1T7nnHOMfjKqrVu3oqhLeXl5MjsCyhrabBD4zhwq8Y9/4fkji6ZNm2onoGRk/PvvvyMvDlu2bMGcAd/dZerUqboUntLpF+4JRGWQHkcGxwgScsopp2jPJfbcc88//vgDGcZXEWeddVbNmjUTfnbM4MGDpdrbbrsNMWUHbU4IfGcdLfGPfyH5I8MFF1ygu78p4Vugmk8y7t+/P5L8s3nz5saNG2v9F154IVLJM+4JRLH88ssv0ul06tQJsXtffvml9lxi5syZSPWP3tN9r732QkzZQVsUAt9ZR0v8419I/rLe+++/rzu+6cADD0Reop5//nnUlZNzww03INWboqKiPn36oNIQPLIww3BPIIrl2GOPlX7nww8/ROxexYoVtfMK7jo5rR8BZYcQbnT9TbxWrVqIw+HGG2+UteJ1IJTWtm3bZn57reTI4uPtiQ877DDUm5Nz6aWXJnwnhl9//VUPmuryyy9HBvmHB3uiWPSmswmfx6Jf2ItKlSohKQDt2rWTRaxZswYxZQFtVwjCQVfphx9+QBwaeh0IH9NINn///ffSpUufffbZq6+++uCDDz7I0KdPHwlff/31FStWbNmyBUVTynmJVBCPB5bPBnvvvTcWkJOTn58/bNgw2WvKPPzt2LHjt99+O+mkk3RHUyeffLKXG6ZRDBy4E8WifRAC98x+MPb9uTw688wzZRHff/89YsoC2q4QhMB7770n65PYXSN+//33P+KDGVzSL9333HNPxJTdHn744W7duhk7UFxkTP/UU09h5uT63//+h5Uo0bdvX+QFQ0bht912GxZm0a5du2OOOeaMM84YPnz42WefLROHHnpo69atkW3xwgsvoC4KBgfuRFFt375duiEvX5ZrRya2bduGpADok96vv/56xJQFtF0hCAF9tEoCJ7Putdde+lrilNiupPMioKz08ccf16hRQ1uC2m233Tp27HjllVdOmDBh/vz53xu+/fZbGaYPGjRo7733rlmzJooaGjduPHfuXFQXsLVr19qWXr16dUlEdlLcdNNNu+++OxYfXfny5du3b89nJiQNOzKiqPTRpF6u/tF+TSAOxpIlS2QR3q9SojSShHYVPxlMy8rI8RuxG3o2Wvw2btyIOd045phjZN777rsPMWWThx56SBqnth9x8sknf/fdd8grS1FR0Zw5c3r37o2Zja9ypkyZguxgOM+NefTRR5GXCjt27JCjjHyqmTFjxosvvigfgWTixx9/5OlnKcGBO1FUv/32m/SYxx57LGKXFi5cqH2uebneiBEjWrVqVbVqVUmsXLlyz549J06cqFle6FOsmzVrhpiygNGywtKB33333bIyAwYMQOzGM888c2hZOnbsqK9XYDaXfv/9d5m3Tp06iCk7zJw5U5uNaNSo0ddff42MhLz33nsNGjRAdTk5P/30EzL8o6ecWfEbGbLhwJ0oqh9++EH6zXPPPRexS5999pn2vLvvvnu1atV0OiLvP4BKJRUqVEBAWUBbDoJUq169uqxMcOeDmQP3/fffH0nuaQ3bt29HTJnOPM2jZs2aK1euRKpny5cvl85Wa+7evTtSPZPdp2HDhlqtKl++PL/SJicO3Imi0oH7Oeecg9ilSZMmaf9r06NHjy5duiAokfCNa5TUwIF7VtFmgyDVgl4ZrV8k/IBhsc8++0gNCxYsQEyZa/HixdpgxNtvv41UX02YMEHrz83N9dIs1dChQ7U205gxY5BHVFrw/b705vzjX3r+FZ8ok5Mz0JEe59+jxuyqfk7ObEeBj5BZbF9Hbvx/O4wamjjS+RfqP2+MbR6Kgbve87Rhw4aI/WbeYdrjPVUfe+wxqeSss85CTBnqjTfe0AbTrl07JAXGPHPmm2++QZJLX331ldZg6tChA/KIIuHAnX/8i/pXfGlqTs6BjvQ4/140ZhfStduyzD/rJUi2rPj/lhmz93Kk8y/Uf94Y2zwUA3f9ZWno0KGI/aavVHz88cdISsiWLVukkipVqiCmTDRy5EhtLUm7ycmwYcN0ic899xyS4ua8neKPP/6IPKIoOHDnH/+i/hUaPWlVR3qcf28Zs4tKjizzbyuKFFvryI3zTz8hXOdI51+o/7wxtnkoBu7//ve/ZU2ef/55xL6688479ZWWK1cOSR74VQ+F0/XXX6+tZfbs2UhKiqefflqXG//Y/ar/Z+8+wKUm0zYAD+XQRXqRjoAoICCiKBZEVHBRsaDYcW3YEUGxga4FRRHXAgoq+1tAbOgq4IoKVgRERBBUqiC9937O/zLvk5gzmZKZSWYmM8995eLiK+mZL2++k3LXXTqK6dFHH0UZUVQM3DlwiDaokEyHw7cYO1DMVmQdTL/aihwOVwVH/9GWzyGjh+QE93lGBO76pjyPegp1NcUTTzyBrCTopJCg7PLuu+/q/v3zzz+RlUJffYU7H6dOnYqsCGbOnFmkSBGtrFq2bLl//34UE8WS2sCdyG8qVaokDWtin27esGGDtssCWeGgRhKfPj366KNl9PXr1yNNmcyl9lCPGSTSqlGjRh4dfmYoJpCVHBcnRRnljz/+0J07bdo0ZKXcmDFjdBl27tyJrML27dt3+OGHax2TF++UpOzmfROmpygdiPzmtNNOk7Y14ZOBNs1i9+7dyCps/359svSgdevWITdOOjoSlOFcag8zZ6eXLVtWliTJ1yKFZX7n8sILL0RWcnRqSFAW0T07btw4pNOkb9++shhFihRB2uK2227ThTQ9+eSTKCOKh/dNmHmWYnNJPjRnzhxpYY8//nik46QNtIh0B7B+F0aEbeud2L59u4zeqFEjpCnDudQe6mGDRFp5tCSLFy/WKYutW7ciNznFihWTqSFB2UIv8E488USk06pWrVqyMNavJpl30ZgSPqEQCe+bMD1F6UDkQ9LOFi1aFIk43X///dpSR3rJesmSJbXCkUceiaw4aR/PfffdhzRlOJfaQz1skEirKlWqyJJs27YNaZfoZEWFChWQlTSdIBKUFT766CPZpwk30V7QW9hXrFixc+dO65dWhTT4abkFn7IJA3eiGPSuxDlz5iAdjz17/n5tzA033IBcw/XXX4+yJL46KWcsGR0JynwutYd62CCRVkcddZQsiYQpSLth3759uoJi8eLFyE2aThAJygq6TxN+jboXxo41XwVcyODBg1GDKAneN2HmWYrNZcY7cOCAnCMnTZp00003XXHFFc2aNWvevLn8e9111/Xt2/e7775btmwZquaSyZMnS5vbqlUrpON04YUXaqutnn322f/973+PPvoo0kEJvzFj7ty5MjpfTe0nLrWHeuQgkVZdunSRJXH3ocCuXbvqCpYqVQpZbtBpIkH+d88998gObdKkCdIZQ45bPdjUMcccgwKipDFwp4Nfhz7zzDPLlSuHNiaWKlWqdO/efd++fRg/B+iKIxE/+5sErF555RXUi1/16tVlClOmTEGaMp9L7aEePEik1eOPPy5L8sILLyCdNOsT288//zxy3SATLF68OBLkf3qQJPznSu9ol4riN5XIXQzcc1rv3r3RtBhOPvnkfv36ffrpp/Pmzdtg+PHHH//73//27du3ffv2qGd45JFHMK2sNnLkSFnZM844A+n4TZw40bxn15Tk19c3bdokE8momzspNpfaQz2EkEirL774QpbkggsuQDpp1nYJWW5YuXKlTJCPcWcN/exRu3btkE7I77//HvJH0XLlyg0aNAjFSdBHZhctWoQ0kUsYuOeibdu2HXfccdpIicMOOyyuP3Pn5+ePHj3aGoZ27949sTed+4iu6ebNm5FOlGw9t16cp489TZgwAWnyBZfaQz0gkUgraU9kSRJ+LZKdrpq48cYbkeWGe++9V6bJ71NmDX0GdPny5UjHT859wQMtDJl4kq29vpGsbt26SBO5hIF7zrn66qu1YRL/+te/kJuQPXv23HrrrZhWIDBkyBAUZKNXXnlF1rFMmTJIp9v48eNleQ455BCkyS9cag+Dv7lMaVRdfM3im2++qasmdu3ahVw31K9fX6a5YcMGpMnn9CBBIn55eXk6BXX++edfeeWV+sU9E6omSifCr6KSu7xv9+XQNwdKK+t7kQcOHIhcN1gvBiSaR27WkShZVvDpp59GOq10a69cuRJp8guX2kM9AJBIt3r16snC/PTTT0gnQddLHHHEEchyiU4WCfK5G2+8UfZmwu9pOfbYY/V4ECHHrVzaoSDpG6t69OghE/nwww+RJnIDA/dcMXToUG2JmjVr5sVtLTt37qxYsaLOIlufldRPHYmEP3HqFt3U119/PdLkIy61h3ooIpFuU6dOlYVp2rQp0olasmSJrpfYuHEjct2gS8iXe2SN2rVrJ3yQyNkqeIgdNHHiRORazJs3D8WRP3rtxPfffy9T4OeWyF0M3HNChw4dtA0aP348srwxcOBAnZG7PfqZQ1p5XUG37lNPwDnnnCMLUK5cOaTJX1xqD/U4RCLd5Oegy5Pk76Jq1ao6nUgfLEuYvn/J3XdWUrocOHBAjxOk4/Tcc8/p6CVLlkSWTZkyZbTOVVddhayE6ESQIHKD98eTnqJ0oHRo1KhRKtsOs8+se/fuyMouV1xxha4g0ql15513pnHu5AJtDJPeg5l2GHTq1EmW57333kM6fmvXrtWVEu+++y5yXaKTbdOmDdLkZytWrJC9mfBfeI444gg9Hpo3b44sm0GDBmmdJJ9r0okgQeQG748n8yzFYzcdGjZsKK1GXl4e0imhb5kQV199NbKyS4sWLWTtUv+g6v33368bdufOncgi33GpPdQjAYkMsG7duiQX6ZRTTtEpCGS55Oyzz8Z0g5J5DwllgmnTpsl+PP/885GOkz5LLR5++GFk2ZgvYk/ydUn64hq5KEWaKGnet/t6itKBUqtjx47SZKQ4alfmF8uTfHFNxqpVq5auINLeu+iii3SOa9asQRb5kUvtoR4MSGQGvbsg4Q+KSaPx1VdfTZ482d2HcPbu3avbymrAgAEoJh/SN3sm/M0vPQbEzTffjCybLVu2oFJyv7J+/frJFF599VWkiZLmfbtvnqUy7ByT9Z5//vnkG51kmA8AzZ07F1nZ5eSTT9YVlGgDWd7Yv3+/ecNlGu+tJ3e41B7q8YBEZvjrr790qTLqKNW/Ol522WXvvPOOLp7iC7b9S5/z+fHHH5GOk74fTER/c5HWEdu3b0dW/PS9vXfeeSfSRElj4J6d1q9fry1Oeu+pmDVrli4G0lnn4Ycf1hXs2LEjstxmPg5brFgxvg84G7jUHupRgUTG0I8rJ/ONYXeFNEHyCypXrpzmqB9++EGLyEdatmwp+y7hW57++c9/6t6P/udorSOWLFmCrPjpEXjxxRcjTZQ079t98yyVeeeYLKbNzdtvv410+vTs2VOWpHbt2khnnQULFujWFm+++SZy3bBly5bKlSvrlK+77jrkUjhr166dM2fORx999HHQ9OnTM/fvPC61h3pgIJFJdMG+++47pNNKF+aTTz5BOujSSy/VfHXuueeigHxCG8a9e/ciHSfr2x779u2L3MLMFyiLX375BbnxW7RokUzh1FNPRZooaQzcs5De/9ewYUOk061UqVKyPN988w3S2ahLly4HG/jgk0xjx45FbqI2btxYrVo1nWCZMmXWr1+PAjJs2rTp3//+txxa+tnzKPLy8i655JIVK1ZgzLRzqT3UtUMik0yZMiVDlk1vkmnVqhXSFjNmzNCFNG3btg1llPH0Je7J/D350EMP1f0u6tevP378+MWLF//+++8//PDDLbfcggLDggULMFr8ZJoyhTPPPBNpoqQxcM9C2tZkzhdM16xZI8tTtGhRpLPUqlWr9HSiTj/9dAkuUebYY489VqFCBUwiEHj99ddRQIY77rhDjiVsIEPTpk3PPffchx56aGCQnHoliTKL9u3b//nnn5hQurjUHuoaIZFhOnfuLMuW+tcuWd19992yDFFeCXLgwIGQ79vz5+YXekfW0qVLkY5ffn6+vRmJZOvWrRgtfpMnT5Yp9OzZE2mipDFwzzYSL0ozcfvttyOdGZo3by5L9c477yCdvSQaOOmkkw429oZq1ao9+eST3377rf17q7t3754zZ45slm7duqF2ULly5TLhNqeMsnnz5uOOOw4bKBCoU6fO/fff7/D1I//9739PO+00jBn02WefoSz1XGoPdUWQyDz6Frx0PQA6YsQI3T4xX8H0+OOPa03FT6v6Qo8ePWRnJf9X3Jtuukn3ewiNs5FI7lcmV4MyhXvvvRdpoqQxcM82yTc0XjDf7I50Dpg0aZL1r7FOlChR4sYbb0ymdydbnXDCCbqJihQp8sADD+zatQsFcfrll1/M9/PI1k7P+7xdag91LZDISHl5ebKE1atXRzpVzBdqLV68GFlRrV+/PqTzNZmHESkFXnjhBdlN0hQgnbQ///xz+vTpGzduRNryMWCBrIToa3zT2VNAWcf7dt88S2X2OSY7DB48WNqIBP4qJy1gsIFypG3bthgtHvXr15dxv/76a6RzxooVK0aPHn3zzTcffvjhZtSoqlatevbZZz/77LOTJ09GbSrszTffxMYKBF566SXkJkfi9Tp16ug027Vrh9yUcak91OVHIlPpQlaqVAlp75k3KH/77bfIcibkD2W9e/dGAWUefbq0U6dOSHvgjz/+0CMhyTu+ihcvLhPhC8HIRQzcs4o2NEjEw3yvrUMYLR5Lly6VEY866iikiWIxP3jZtWtXZLln6tSpOnFhv4vJQy61h7rkSGSwihUr6qI67P9Ohj6NKhYuXIiseLz33ns6upJWkfFWZtqwYYPsoMqVKyPtgccee0wPg27duiErIToRJIjc4P3xZJ6leOx6bNmyZQm3Eddcc42O6xBGi5OO6+5nESlbmX+dWL16NbI80KZNG53LpEmTkOU1l9pDXWwkMtsxxxyjS3vrrbciy23z5s0z3y+UwEPhph07duhETNn9Oiz/0r3j3dlEpy/kIgFZCdGJIEHkBu+PJ/MsxWPXY3feeac0ECFvLHaR+YLCRx99FFlx0ncm/vTTT0gThWN+oz41rzR95ZVXdHZDhw5Flqdcag91mZHIeC+++KIusIj3Jpbo9u3b16JFC53ycccdh9zkXHvttTpBlWSfK3lBX3iwbNkypF319ttv665P8i6v//znPzKRG2+8EWkiNzBwzx76J+lkepuiMD9mLpAVv9mzZ8voYV+rTKQkDtPD7IQTTkCW93755Red6cMPP4ws77jUHuoCI+EHe/bsqVq1qi526dKlk38yePv27dKY6ASLFCnibte4vn7bVLx4cT41nlH0ert9+/ZIu2fz5s2608XEiRORm5AmTZrIRGbMmIE0kRsYuGcPaSC8e1f64YcfHmzHAs2aNUNWQmQKpUqVQoLIRp/l6tGjB9Kpsnbt2uAB7uHfrMCl9lCXFgn/GD9+vC65SuwZ0FdffdX6zQTv3n7boEEDzCPohRdeQAFlAN0pSMTpxx9/xP8Kk5+/TlYk+TLTAwcOyESy/gMmlHoM3LPE/v37pY2Q8BpptwXbsYMSfhOf0okgQVRY6dKl5fBo3bo10qk1d+5cPT5jvvw7KS61h7qoSPjNTz/9VL16dV0FdfLJJ48bN27hwoX2z2FK47ZixYrp06ffeuutqB0kIVGk79W76IknnsD8guSCAQWUbpUrV5Y98uGHHyLtmJzFdG+Kf/7zny+//PKIESOuvvpqZAUdcsghqJ2oAQMGyHQ6d+6MNJFLGLhniV9//VXaiLPPPhtpV1111VXBpuzg6wuRlahatWrJdDy6n4d8TcOyEiVKIJ0O5ntFkPaCS+2h58vpPWkH+vXrpytiJ0cC/mdz/PHHz58/H1Pxnn772Yovek+vH374AXsi0T/hYuQI5DIS9ZKgT0vv27cPaSKXMHDPEs8++6y0Ef/5z3+QdlWwKTso+a9I/POf/5TpSLOLNFHQ4sWL9RhL+3lOv8/avHlzpF3nUnuomwsJ//v444979uwpG798+fK6aiaJzI466qgLLrhg+PDhqJ0OHTt2xAIF3XbbbSigFNq1a5d+lNcqgbd/fvXVV/p4awjZy/a/+SRAv93bpEkTpIncw8A9S+hnR9x9XYP697//HWzQDkJWEvSvh/yMHIUoWbKkHBgzZ85EOq30Pvs//vgDaXe51B4e/EFmdaOage+N/fTTT3WzK7nGyM/PRxl5L+RtP+L++++Xf5P5M92OHTu2Bbm7K3Xx0vNtZsp2DNyzROfOnT1qJooVK6Zt0JAhQ5CVBH0r3Pvvv480UUHBU089JUdF5vROTZ8+PXjIe9NkudQeeriEFFWFChV04yvPn2amgoLJkydjcxtOOeUULdKHJRJ+SbEXzjrrLFmkI488EmkiVzFwzxJt27aVlmL9+vVIu+Trr78+2EYGuXIPwxtvvCGTGjZsGNJERgy6e/dupDNA/fr1ZZFGjRqFtItcag91oyFBqXXdddfp9lcnnXQSCshtO3furFmzJjZ0UOnSpa2fOt6+fbvm79mzB1lpZd71hzSR2xi4Z4mLLrpIWopffvkFaZdoAyRceVhH6I03CbwHgLLVgw8+KIdEu3btkM4Mq1evDh74HrRaLrWHXi0eOWO++9+0ZcsWlJFLQt4jJF588UWUWfTp00eK8vLykE4rXU7RsmVLZBG5ioF7ltDPprp777j5Zmvh1v2mekviV199hTTlPH33QjKvGZ03b17btm0rVqxYtGhRmVSpUqXklLlq1SoUJ0pfNhfpfc+Jc6k9lGUTSFCaNG7cWHeEeu6551BAyZkxYwa2qSH6l/vq1KkjddL1JllTyIv/xRdffIEyIpcwcM8S+hm5wYMHI+2Go48+WpueatWqIStpXbt2lQnOmTMHacpty5cvl+PhiCOOQDpO+fn5eXl5wYM0jGOPPRb1EqIXrg0bNkTaLS61h7qOSFD6jBw5UveFSvKrPST0g6NWCxYsQFlkWvPKK69EOuWOPPJIWYCyZcu2a9dOF0bVr18fNYjcwMA9S2zYsEEaiCQjFas9e/ZooyOmT5+O3KSVKVNGJshX25Jq1KiRHA+JvR7UeogKubw844wzGjRoUKpUKWQFAl26dEHthOhEXH69iUvtoS4bEpRWu3bt0r/2mGbPno0yiscDDzyALWhw/tTpzp07dZT77rsPWSmk74cQmvzyyy81aXrnnXe0iChJDNyzhH45tWbNmkgn7dxzz9XmpkiRIshyg04TCcp5ep8MEnEqV66cHk5i+/btyA3SzxqoZB78uPLKK2UKU6dORdoVLrWHunZIUAY4/fTTdaeoK664AgXkwK+//hry17OGDRvu3bsXxc5oB5bo2rUrslKiadOmOt+QBW7ZsqXmq9q1a2fgS07Jd7xv982zFM8xHtOmAYmk6dTEG2+8gSw3yAST/5Q0ZYdFixbJ8XD44YcjHY8lS5YED8+Dwp7dzQ6wZN7xrO+FPOaYY5B2hUvtoa4dEpQZJkyYoPtFJfZRzxxk3pZp+vnnn1EWp3Xr1ukUJEpGlsf0z8gi7Jvg7V3v7p5SKQcxcM8eLVq0kEZh5cqVSCdhyJAh2sQIZLnh3XfflQmm8R5Eyij6+vbEnuc76aSTgodnoFmzZsgqbN++fVpBJPNpFZ0CEq5wqT10f8HIJfpYs2nixIkoIJtHHnkEm8nwr3/9C2WJkt+7eb/cb7/9hlwPyJ7VuVSoUAFZEYRcmdSoUYP3i1LCvG/3zbMUzzGe2b9//5NB0iIMHDgQuUnQxkVccMEFyHKDNl5r165FmnJbq1at5HhYsmQJ0vEoXbp08AgNvPXWW8iy0Q+gik8//RRZ8dMpIOEKl9pD9xeM3HP33XfrDlLHH388Cshgf59mixYtXPx86RlnnKGT9eK1jAcOHKhXr55Ov1evXsiN6ttvv9X6Jna9U2IYuPvb9u3bzbvoJGn+JxlmL4JAlhukpdNpduzYEVmU2/R4QCJOZlC+dOlSZNl06tRJ69x+++3Iip++323Tpk1IJ09WWYfk6KohQZlH35hk9ddff6Est+3du1efSjfl5eX9/vvvKHbPpEmTMINAoEePHq58oUmaghNPPFGnWaRIkblz56LAmTZt2ui4qlatWrzrneLlfbtvnqV4jnFbhw4d8OsPuvbaa/XhHjlhoEZCzA96u/sivEGDBulk1SuvvIICylVyGCT86HOxYsX0QIry+o7evXtrnWTetnTXXXfJFN5//32kk+dSe6irhgRlqmbNmumeUg888AAKctV9992HbWFw9y3GdldffTXmFAgcffTRy5YtQ0Gcfv75Z+t7Kh955BEUxGnatGmYhGHMmDEoI3KAgbsv3XTTTfjFG1q1arV79259DiaZMGXlypU6QTFv3jzkugETtZDYK8lrDPI1OQYS/tiheQ/rv//9b2TZPP/881qnVq1ayIqfhOwyhaFDhyKdPJfaQ101JCiDjRgxQneWOuyww1DgsTlz5vzf//3f9ddff+qpp1avXr1akMxdknfcccfYsWM9vf/b7scff8QmMLRp0wZl3rv22msx16DTTjvtrbfe2rFjB4ojWL9+vWzDtm3bYrSgvn37ojgJ7du3x+SCGjRogAKiWBi4+8zjjz+OH7pBghLrWzX0dcJIxK9GjRo62ZIlSyLLDZ9//rlMs0yZMqtWrTKfwVfSdrt4XyP5iOz9hF/5csQRR+jxI5BlM2bMGK1QunRpZMVv5syZMoV+/fohnTyX2kNdNSQos+3atSvkXYcJvzUluq1bt15++eUhbWx0ZcuWlaA25IWq7tq3b59+2dRUvHjxP/74A8Up9OWXXx566KFYCIOc7CSzUqVKxxxzTOPGjeU/hxxySMj+ElWqVHH39fz60iqrDz74AGVEkXnf7ptnKZ5jkqOv4LAqVqyYve3TN1hHetWGE6tXr07+c/Eh9ERivlH7pZdeCq7B35555hktotwh+z3h9+UtXbpUjxwR9m/WchjL2Rc1kmh85s6dK6Nfc801SCfPpfYwyfWi1Lvgggt0r6kePXqgwA333nsvpms44YQTJHP8+PFz5szZsWPHtiCJ7KUdfv/99/v06RNyv3WRIkUSvv0jCvu9MQ8++CDK0ueLL76QH7X1WxBhlS9f/qabbpo2bRpG88BZZ52FmQXxM6sUEwN3H3j77bfxm7aYMmUKim20wvz585FOt1deeUWWR1pApA0nn3yyLqopxX+6pfSSPZ7MH3ZCXrr36KOPDgs655xzkGVI5tMBP/30k0yhd+/eSCfPpfZQVw0J8omQTtZixYpJJI2yRFnv4a5YseJTTz2FAsceeOABaZ8xiUBAYnoUJGfBggWYoqFJkyYoy0hr1qzx9C8Pkfz666/YQIbXX38dZUQ2DNwz2syZM823ZyhJfv755yiOYPLkyVoZ6XTThQn7lZwNGzaY7/VTLVu23L9/P4opq8nuTvged1W2bFk9bMIyY5HEvvGkPv74Y5nCoEGDkE6eS+2hrhoS5CvWKFmMGDECBXGyfiH4pJNOkuYUBQlZtWpVx44dMbmkX1Zo/6bSjBkzUEbhWDe+qFu3LgqICmPgnqF+//13+614b775JopjqVmzptQ/++yzkU6fqlWrypJcddVVSIejXfJWjz/+OMooe8mOLlasGBKJev/99ytWrKiHjenmm29eu3bt66+/rsn27dujdvyefvppmcKoUaOQTp5L7aGuGhLkN/369dM9qOL9Ou/evXsxZiDQqVMn5LrkhBNO0Ckndifb4MGDdXTTbbfdhjKKyv787n/+8x+UERkYuGecxYsX22+8u/fee1HsWJEiRWTE9D7scv3118syOLwd4pRTTgmu699+/fVXlFE20r2MhAf0TY7iySefRFb8NIhZsGAB0slzqT3UVUOCfGjNmjW6E1XRokUlB2VRffHFFzpK8eLFV69ejVxXWV9C77wdXrp0qfm6J1WrVq2Yb26hECE3kVatWhUFREEM3DPInj17tKfcqmfPniiO06ZNm3QKHr2+ICazH935ByY2btwY8ix/kyZN+H2KbKUvmpCdjrTbjjrqKD2Kkgm7dQpIuMKl9tD9BaN0OO6443RXqv79+6MggoEDB2rNf/7zn8jyzLnnnqvzGjZsGLIia9eunVY2ffXVVyijONnf9f7SSy+hjHIeA/dMYX9S8/LLL0dZosxvoHrUKxPFf//7X511Al+7eO2113Rck5yrUEZZ5JZbbpGd+/HHHyPtqvz8fD14BLISkvwUQrnUHrq/YJQm7733nu5NVaFChX379qGsMDOSjveDnQn77LPPdI7XX389smzs98b06tULZZSEkHe9y4Hhysdfye+8b/fNsxTPMeEcOHCgc+fO+F0ajjvuOBQn7cknn9Rpmq9iTAHzbY8//PADsuJ32mmn6URMmfOeHHKF3tDZtWtXpF31ySef6GFTsWJFZMVv48aNMoVDDz0UaVe41B7q2iFBPrdz507doSb7SwjMt0mmuCPmt99+0/nedNNNyDLMmzdP78k01atXj8Gli+xd7y+++CLK0m3v3r2TJk0aO3bskKCnnnpKDtpZs2ahmDzDwD2drrjiCvwWDdLquX7nwAsvvKATHzlyJLK8ZK7UzJkzkZWoNWvW6PekTI0aNUIZZQXdrUi4Sqcsli5diqz4PfjggzIFl384LrWHunZIUFYIedG79ZpWD0WRlrDYvB3f/FDxgQMHmjdvrplKIvjp06drKbnL3vW+e/dulKXQpk2bPvzww6ZNm2I5Yrn22mvnzJmDkck9DNzTw7xP0VStWrUVK1ag2G3/+9//dC7HH388srwhDYrOaMmSJchKmv3OmUz4fge5Qp/Ddv3dyeZxWL16dWQlRD8cJqcrpF3hUnuoK4gEZQv9boCpdOnSEiJ/+umnmnT49KoXfv/9d12GP/7445FHHtH/m9z80AGFM3v2bGxrw/Dhw1HmvVGjRplfVTcVL178kksuGTBgwDNBzz77bM+ePU899VQUW5xwwgnr16/HtChp2Ru4b9xY8McfBY88UnDLLfnHHVfQrl2+xKw33FBw770Fc+cWrF2LailnD0MrVqzoXchu2rNnT7FixXSOXjwzZPbrS8yELFedeeaZOn2TnEhQRr6lz0J06dIFacf27t17yCGHTJ06NeSdFeY1qkJuQvQuefePZ5faw+RXkDJW3bp1df9apf0mhA8++ACLYtG4cWMUk/dCvi5XuXLlnTt3oswbffv2xcyCLr74Yud/V3n11VdDvs772WefoYySkG2Be/7ttxfUqVNoplGGKlUKLr64IFUvqxo9ejQOXovvv/8exSlhvnJRrp6TuYXAasKECSVKlNDJ3i7b3zMrV660v3MGZeRD+/bta9SokezHokWLIsuxrVu36jGgQg4MleR76P7xj3/IRBL4DmUMZvuTHF1HJCjrPPHEE7qL1WWXXYaCtDr99NOxQEG8oTn1li1bhq1vePrpp1Hmqj59+mAGgUCLFi1WrVqFgjjl5+dPmjTJbKLLlCmzNn09p9khSwL3/P/8p9CMZGjevODKK/Nff71g8mSJ+DBIlPz++wXXXltwzDGh9ZN403NM5qdMrZx/TcldK1asKFmyJBYiEBg3bhwK4mf9cFK9evWQ6zHZbpil4b777kMZ+cSePXvatm2L/Rf02muvocyZ/fv3Y8xwkv/0mPmBG6RdZLY5yfFq8ShjSFutfSKlS5dGVgbQ04dc1iJN6XDhhRcGGwCoVKmSi+9NnjNnDqYbCHTr1g25SZs+fbr5WclTTjkFuRQ//wfuAwf+Pf3SpfOHDStw/pejPXsKxo8vKF/+7yl07y4RAUrdIC1vyAcpRCa8kPXXX3+1fi6+QYMG48eP37VrF4oj2759++uvvy7NBMYMvnNj3bp1KE4VaU0w+6CiRYum63X1FBcJiENeXG1CjXisWbPmwQcfPOqooyoHXXDBBfPmzcvPz0dxEq6++mpZpJtvvhlpF5mtTXIS3mjkI7qXXXxkKHly7tClQprSRI6KkJc3vPDCCyhLwkMPPaRTq1q1qhcfUbG+/JQ3vifG+9+eeZZy+3eeP3Hi31OWi8JkjoB9+wpuv/3vqQ0ahPwkbNy4Ub8vY/Xoo4+iODMsXLgwJAIWFStWPOmkky4PevLJJ+XfSy+99MQTT7R/z/W2227z7us5Mclv3nrtIXi3ZYbr3r07dpWhZcuWu3fvbt26tfzf/rK5dJHTlS4e0u4y25nkeLiElBkuu+wy2cXS9iKdMY4++mhZMI/u0KC4hLyJKMnH8eUcqtN59913keUN8+t46f24u0/5NXDPr1pVp5nfvj2yXHHNNX8vrYPu57AkoKxdu7YelKYrrrgCxRlp+fLlcpKoXLkyFjeyunXr3nnnnV4/EOOc+aUnU58+fVBGGWPAgAHYPYZGjRrt3btXS837Xrzo4ElA/fr1ZWGee+45pN1ltjDJ0S2GBGUj3cXy60A6CevWrVu1atXKlSsjfdopLhs2bNBlQ5rSasmSJbo7TIm1XXpfVrFixVLzytGnnnpKl/ZJL29Uzko+DNzXrsXUihQ5eNu667Ztyy9XDrP45htkOpOfn699h1YdOnRwpa1Mmd27d69evVragsWLF7/zzjvyr4T1a9eudeX84ZErr7wSmzuoSJEiyXz7iVw0ZMgQ7BVDXl6e/TknbcTLli2LdPoMHz5clqRUqVJIu07bFhmSE9yWjJyylr6nK8mnNSZMmFC9enU9VKxOP/101EjUkUceKdP58MMPkaZ0M7+qq6pWrYoCZ/TRhRQ/TaHf4BOevtYi+/gtcJ80SSeV783XFv82YACW2fErw+23AZx00kmu3G5LTuzatatatWrY9EF16tRBGaXDqFGjsCcsorxGSV+B5+KzUAlYv369Lqfrr5b/mzYsMiRHlxMJyjq6f5P5hsAhhxyiE4lk6tSpqBq/devWyRRc/qgwJWfevHm6Z00Ou971Ptj69esjnUJ//fVXXItKwleB+wsvYDqpucpfulRnl3/++ciJ4NZbb9Ujz9SgQQOUUWpNmTIF+8Bw7bXXooxS5bvvvsPWNxQvXnzy5Mkojkwrp+YTv2HpArz66qtIe0EbMRmSo4uKBGWXPXv2JLl/S5curVMQJ5100kcffbRmzRr5t2vXrsgNcvJCgkh0Ctu2bUOaMkPIN0/k+s28KTGsJk2aSLUyZcognXKLFy/WReWXdx3yT+D+1luYyOzZyEmBLVt0pvk9eiCnsH79+ukBZypZsuSyZctQTGlyyy23YH8YPv/8c5SRl+bNm2fv53P+nNPKlSt1lGT6AhOmbxo+7bTTkPaItmMyJEc3FBKUXXr27Ck7N953pJokANLDQ/z111/INUiojbLkjnb9NE8qv99JDv3yyy+6f01PPPEEygozP4KLdJp89dVXmbAYfuH9ZtJTlA4JmzkTU3Dpm0Hx0Vk//jiSQcOGDdPjzFSiRIkZM2agmNItPz+/QYMG2DdBFStWzJxnarPPwoULy5cvj21tkLMCih2bNm2ajvv+++8jKyV0po0aNULaO9qeyJAcXWAkKLvo5+UTflmevvVFnHvuucgqbPDgwVqhWLFiyIrf77//LlPgn5cz1llnnaV7WeXl5W3ZsgVlQea3nDZv3oys9LnqqqtkSTLhMafM54fAfd8+HT3/u++Qk2Jbt2L5FyyQ1JdfflmkSBE93FXJkiX5KGRm+vHHH0N21gUXXIAycsmmTZuqVKmC7Wvo1asXiuM3fvx4nUhq3jcnl3M6u7p16yLLU9qYyJAcXWYkKIuYL1lCOn7mA6mvvPIKsgoz38UuzSOyEqITQYIyz6JFi3Qfmfr164eyggJ9DfzLL7+MdLqVKVNGlmfo0KFIUwTe/+T0FKVDYvLyDo47YACSafHjj7oKp556avDg/1uK+wUpAf3798feMrz33nsoo+Qce+yx2KaGq666CmVJmD17tk6tZcuWyPLGhAkTdEape1t2ku2hQRcbCcoiq1atkj3btGlTpOOnz3mLvn37Iquwr7/+WitI6IashBQrVkwmggRlKv0ggEl2+saNG//1r3/J/w855BBUygBmH4q/XsSXehkfuF92mYyYX6sWkulzoHt3WZKNTZvqgSUGufGdJkqZI444AnsuqFSpUqn/4GsUS5cufeaZZ9q3b4/lC6dNmzaPPvrob7/9hnHSqnPnzlgsg7t3h+/evRvTDQQ8uglNgnWdfgK39CQumfbQQpccCcoicrTLnj3vvPOQjp95j0ReXh6yCqtZs6ZWuPLKK5GVkGbNmslE5s2bhzRlquXLl+seD7F69WrUyAwXXnihLNXFF1+MNIWT2YH77t0JjuiR4sVlYY5t2pSf+PGp+fPnh3wjulOnTihLk1WrVjVq1AhLYyhSpEjx4sXl0kLJ2TdksUW1atV+/fVXTCW1Qr7VJ+rWrevR+xObGpfK9erVk1AeuUkz7/GVTW1/es9bCbeHhenyI0FZ5O6775Y9O2zYMKTjl5+fr4eH6NKlC3INr732GsqS/rrTE088IRORXxPSlNkuv/xy3e/6CoHWrVujIJPoEiJB4Xi/dcyzVAJ7olo1GSv///4PybTTF0SWLIkk+ZP9K56vv/46ylJI/1JpatCgwUsvvbRo0SIUh7Ns2TJZ1JC7U2655RYUe08uWTFXQ/Xq1Vd68R00C+srMk4++eRkXmAn7r33XkwrELjhhhuQm0oJt4eF6SogQVmkW7dusmeTfLHSnXfeqUeIKFmypPlc/v3334/cQGDt2rWamTB98et1112HNGW8devWlS1btnjx4rLjnF+2LV26tGvXrp07d3b+9959+/aNGjWqQ4cO5cuXl+uEE0888YUXXoj+Ykp1/vnny7L17NkTabLJ4MBdX8VYvDiSmSG/RYuDS/XRR0iTb4XcOSPsn/P0yIsvvohZBu9kTezltRLEt23bFlPxPnx/+eWXMSdD1apVU/nmU7OPXMlFTlxhx7Rp02rXro2RA4HjjjsOBamXWHtooyuCBGURvTKXUAnpRD344IN6kKjLLrvM+oc7V663Fy5cKJM644wzkCY/0CccGjdujHQs1m+ynnnmmciNqlevXhjB5qabbkKlCPTh7CSfvshuGRy416hxcJQJE5DMEDt3JrIulJHs35k79dRTUeaNjRs3li1bVueVfOexOHDgwI033qgTFDNnzkSBe8aOHYupW8xO5ecULMaPHx9y11CdOnW6desmC7ljxw5UCvrhhx/uuuuuJk2ahLyk8oorrgipmWragCTdhujqIEFZRN8J48q7a1evXm1/Sav95pmE6YcX2rRpgzT5gd6c+c033yAdmT5uYXXWWWehLLLKlSujdlDIi91EixYtUDUC7Vb7+eefkabCMjVw37Yt7lEKy3/33fzmzf+etQ4lS+Z/9hlqJCq/UqWDk+InvrLFwIEDtTUxJfzdk+geeughnX61atWSvLXUznyq1cX3Xf7vf//TaVo5/5qSp2Rjmg/YOXHJJZdMmzYNI6eX2RwlR9cLCcoiRx55pOxZuchHOjlhn3fv378/ipPz559/ytROPvlkpMkPZJc56c9u2bJl8GApJGbgfvXVV6NqIPC45es3O3bssP6J+Pnnn0dBOB999JHUOeqoo5CmwjI1cL///oP1E3vkZc2aQjO1DQcD+iTk//TTwemk8U/t5AHzIUiTu4/b6xdVxATP/oikJ1FRpEiRAwcOIDch+mmVECNHjkRxhvn+++/79evXtWtXaejr1Kkj/x599NHXXHNNhlxjhDLbouToTkGCsoi+Eyb5R88fffRRPUhE2bJlrUmV/N0y8tOT6Vx66aVIU8b76aefZJc1adIE6XCWLFkSPEBg8uTJ5ouwYwbuWk3873//Q5ZFtWrVUByr7XJSJ2d5v130FKWDc1o/sXd5yqWkOUcZrrii4PLL88uVK5R57bWonBidCGWX3377TRsLk1t3zugj/CIFN2mYLSPScdq2bdthhx2mUzDxzadu0tYj6QZEdw0SlEX05rckr/BbtGihR4j49NNPkVtQ8MADDyA3SK72UZCQN998UybC16z5yCmnnCK77OOPP0Y6nBtuuCF4dATuuusuzdGxRPTAXa85RfXq1ZFVmPUlv2PHjkVuOFrH9T9NZwfv233zLBXXOUYqJ/wp5uBLGwtsjyTnr1yZL9NMYGHs2rQ5OIWkHx6iDGS/cybS1wcd0omk6KucQeedd57OVKJwZDmwcePGww8/XEc08X0R7nOlCTKOKyQoi7z//vuyZyV8Rzp+1qcJkWWxY8cOlAUhNyHa1Hz++edIU8arUKGC7LLor9YdMWJEyOP7DgP3kiVLarUonzhs0KCB1on+nOutt94qdWRJkCYL79t9PUXp4Ez+v/99sHKET77FlP/IIwWRXjn0559/L4ylEyJukyfLFPL5KH2WOnDgQMg7Z/Ly8tasWYPieOiTlO3atUM6VcyXwTnpsdi5c2eTJk20vumMM85I8n4bCs9sgpKjuwkJyiJLly6VPXv88ccjHafVq1frsSEivbxvy5YtqFH4RuR4lShRQqaABPmB7nQkHHMSuG/cuFHrCGSFc9ttt6FS1GqTJ0+WCpdccgnSZOH9T072jTk4dOyxByt79EEvY2Hy77wTOYmRiRx6KP5P2Wju3LnauJjivXNG3w5Rv359pFOrR48eMvfisV6oav8AqqwmQ3YPGU0QkonSnYUEZZHt27fLni1VqhTScTIfgi9btiyywmndurVWq1OnDrLipy8MQYIy3p49e2R/lS5dGmnHnATuv/zyi9aRowJZ4XzzzTdaTSArHL18Pfroo5EmC+9/cnqK0sGhkiUPVvbo3iZ9y6QE7knelhfXGpFvhXwmSbz88ssoi0pfZJtAE+miVq1ayTI0a9YM6cJuueWW4Ar97cgjj2TI7jltOpJuPXSXIUHZRb+Pk9ingo877jg9NqJ3NJj3BBZL9K5UjQJjdg1Q5kj4jzlOAvfhw4drneiHhPWzvnIIIddG3+ae3hNoxsrIwD2uyvEyF2bUKOQkBC+FTO8LoSklpAWR635taFSZMmWiv3PGfCuLNFLIShNdjJBPw/bv31/zTbJG69evRzF5ymyCkqM7DgnKLvoSj8TeY33GGWfosVG7dm1khXPZZZdptYRfujdy5EgZ/Y477kCaMp52iv/jH/9A2jEngXvPnj21Tl5eHrIi0Goi+tsatA4SZOH9RjHPUg53gFyBSbgTtcVJirkwSX4ms1u3gxNx/Plf8jv9RqBVlA4trfDtt98inT7r1q3ThdHkU089pUlTsWLFZs2apaWUCmYTlBzdfUhQdpk0aZLs3Fq1aiEdD+uHmaN0HOjt6eLZZ59FVpz0FbdsPXzku+++k112xRVXIO2Yk8D9zDPP1DolS5ZEVgRaTUR/fYLWQYIsvN8o5lnK4Q7Yvv1gzVgf1krQ0qXxLUwUt9wiE8n/8UckKTf8+9//1tbEZP+QRO/evSU/mTtH3XXxxRfL8jRv3jy4vH8rXbr0jzyAU8+lJkh3IhKUdRLev9Y37kkItdf2qob9+/dXqVIFNQKBxO6O0xseeJ+Mv3z99dey16666iqkHXMSuJunmCOPPBJZEWg1sXXrVmSFo3WQIAvvN4qeonRwYvPmgzVPPBFJVx2QWEqX5PrrkZWwhx6S6eQ7+GgwZZ+TTjpJ2xQlEfCyZcu0yLyBL6NuFtdFkuXU/wjvvgNFMWgTJENydD8iQVmna9eusn+feeYZpOMxZMgQPTzUIYcccv7553fv3r1Hjx516tRBbtAnn3yCceKk90VcdtllSJMfzJw5U/baOeecg7RjTgJ389MBDRs2RFYEWk0wcE9M5gXuGzYcrOnSh28KmTYtviWJCu+sfOcdpCnHLF++3Pxbs9IX315zzTXyfzmrabUMoX89r1WrlvybWChArnGpFTp4zLnRlFFmWrZsWTK7+NVXX9XRIylWrNgvv/yC2vHTifBZdn/Rh69OPvlkpB1zErh37NhR65QrVw5ZEWg1EfMedznJIkEW3rf75lnKYQMkV2BSs00bJN0i7Yu5GFG/GebUgw8enNR33yFJOemVV17RBigEihOyatWqSy+9tGjRovqqNfm3du3ao0ePRnGidMF4ok0/syFKju5QJCgb6ZX2+PHjkY7fhx9+2K5dOz1UTF27dk3y8Zsnn3xSppP6z1NQkjZs2CA7LoFnJ5wE7meffbbWcf5wapS3yujTWdEfsM5ZmRe4yxWY1Ez0OfeIKlfGMkR4NV7cbrpJppY/ezaSlMOkLdNmSF144YUoiJ8+7xXJlClTUC9+w4YNkyn069cPaUoXbYhkSI4eEkhQNlq5cmVm7mVdqs2bNyNN/qH7DgnHnATuejknor9gdO3atVpNRHl4+ueff5YKcjGANFl43yLoKUoHJ/buPVizalUk3ZB//PFYAPeepMnv2FEmmL94MdKU2zZu3Fi+fHltjJYsWYLcOOnoqlGjRh07djz99NMbNmyIrKBFixahdpx27dqlU0Ca0kXboqR3BPdmLjj++ONlL/fo0QPpDHDsscfKIp3BD4f7kz7p5OSL2lZOAvdp06ZpHYGscN59911UilrtueeekwoPP/ww0mThfbuvpygdHIqrciz53bv/vQAuvlS7VKmDE/ToK1HkT9LQRP9oXBSnnXZasCk7KOTOP0nqbTPikEMOQW78qlWrJlNI+6vlc53ZHCVHjwckKHvpjk74it1dZnDGZsSnDj/8cNl9a9asQdoZJ4H7ihUrtI6I8u0w80zXoUMHZIVTt25dqfMb37gdTiYG7vi2UUIfjQt1661/z92VCZp0mkSGb7/9VhqahDuizND8zz//RJaF3puotm/fjtw46Z8yH3/8caQpLcwWKTl6MCBB2ev999/PkH194MABXZIvvvgCWeQ3es/kddddh7QzTgJ3oXXE4MGDkWVjnunefvttZIWjdZCgwrzfLnqK0sEhCX2kcqL3G/zt3nv/nvWKFch0i0yzWjX8n6igoFOnTtLQzJkzB+l47Nu3T9spgSwbs71bvnw5suIno/NxnzQzG6Xk6MGABGU17aSsWLEi0mmidwPyFZB+JzuxVKlSSDjjMHA/8sgjtVqkbzA5vE9m06ZNMevkMu+3i56idHDoww+lcn78H/cq5NFH/57v/PnIdMv//d/ByfbqhSSRcSPKrl27kI6H9ZspyLJBcSCwfv16ZMVPRk/4Zh5yh9kuJUcPBiQo25UtW1Z291Guv7bBsTJlysgC1KhRA2nyraJFi8qulOAYaQccBu579+7VaqKXLUDatm0bygKB22+/HbnhdO/eXeq89NJLSFNhGRm4C6mcRHiR/+KLf8902jTkuie/Xr2DU4767QDKNdoeIRE/HV389NNPyLJYvny5lkqbi6yEaLc9XwqZTmbTlBw9HpCgHKA/Xv1eRIo1aNBAZh39bSHkF4888ojszdtuuw3pcPr169ffwvxuV8OGDZEVtNj2fg79y7OqW7fuxx9/vGPHjnnz5ukXu1TMJ7W0mv2jv6QyNXAvXvxg/cTeNjVihDnH/IkTkemi/HxMn8igPQ2HHnoo0vHT10coe7c9CgKBQYMGISsh+lLnFa7fOUbOGa0TkonS4wEJyg260yWKQjoltK89yS4DyhzmswpI28T8epepevXqGMeiZs2aKA4n5l06n3zyiVSL+fnVXOZ9u2+epeI6x7z5ptTPv+UWJJ3buNGcXX6FCgUnnBBlyE/sXuEJEw5OP5Pez0Vpp38EbN68OdIJCTZrMM3ylyJp6TTzlFNOQVai/vnPf8p05s2bhzSlntFAIZkoPSSQoNwgIVfx4sVlv+fl5SX8kLpza9eu1W7+eG+JpgxXr1492a2RXlTw9ddfH2xcHOjUqRPGKezhhx9GjcKuvfZa1IhMa65btw5pssnUwH3//rhHUd999/fsYg35Ue/WikhHX70aSSLjYZrkPyWobZZq0KDBkCFDkHDpxcl33XWXTOrHH39EmlLPbIKSo0cFEpRLmjRponv/hRdeQJYHHnjgAZ3LscceiyzKFvpZD6/vfVq1atXkyZNHjhw5ZcoUuQhEblT//e9/ZcHKlCmDNIWTqYF7QUH+iSfKKPmRXyoU3sKFheYYfbjnHozl3FdfHRzRvQ85UXbQ7zNH6n6Iy3HHHXfwbGlRpEiRsDe+J2Dw4MEywQ8++ABpSj2z/UmOHhtIUI556KGH9ADIy8tzvW9ywYIF2q8vRowYgVzKLq1bt5b9e/XVVyOdGfSoY9dSdJkbuB8ko2TafXVlyx5cqgULkCQK0vesR/+ihEMLFy485JBDtP0ynXbaaShOTv/+/WVqU6dORZpSL+H2sDA9MJCg3LNixYqSJUvqYdC4ceOlS5eiIAm//vqreYNyuXLlNm7ciALKOvn5+bqjM+cZ0AsvvFCWp1GjRkhTBJkduHfsKGPlZ87d5KNGHVyeypWRJDJs3bpVWpw2bdognSj9rJ2SVqxGjRpIBI0dOxb1EnX99dfLdH755RekKfUSbg8L00MCCcpVr7zyih4JavTo0Qm8M2r37t3W6RQrVuzjjz9GGWWvJ554QnZ3hjzAMGvWLD38kKbIMjtwFzqi90/hOKILw1cUkY3eMihhN9Lxs77KvWbNmjt37tT8RYsWyXkUBYHAzTffrPmJOe+882Qiv//+O9KUetqMyJAcPR6QoNz20Ucf6fGgqlevfskll8yP9QGTGTNmXHTRRZUrV8ZoQf/73/9QTDngsMMOk51+/PHHI50+evjxNk4nMj5wHz364IiZcE/5YYfJkiT7WSjKXtruIBE/HV2Efe7e+nJcCeWRGz/9SlQK3kdBESXTHlrowYAEUfCGva5du+qBYWfeVxPWhRdemNjH48jv9AB48MEHkU4HPThdeQFDLsj4wF00by7j5h99NJLpkH/ffQeXoUQJpIls9HGu/Px8pONx++23BxvPQOXIN2JVrVpV6whkxS/J0ckFSbaHBu5KimTTpk2vv/76McccYz5jaidFxx577Ntvv71lyxaMRjlp9erVeki8++67yEqt8uXLy9xr166NNMXifbtvnqWSOcfo6L17I5la+Z99hgXgTTIUWYsWLaT12bBhA9LxCDabB3399dfIslmzZg0qJfFTknFjfrWOvKWNSRI7USV5JBARqdmzZ2t7Mnz4cGSlSpUqVWS+/ChvXHwSuO/ciSl4+dra8H7+GbOePRs5ROEMGjRIGqDHHnsM6XgE28yDkA5n//79qBS1WhTTpk2Tcbt06YI0pYW2J4nuRFMyRwIRkdXnn3+uTcptt92GLI/t3btXH9/i573i5X27b56lkjvH5K9ejYkk8PL1ROV/8glmKv8hikXaoJIlSyIRj2CDedD69euRZbNnzx5USvSndOKJJ8q4MR9ZI29pk5LoTjQlcyQQEYX47bfftFWpX78+sjzzzTff6Lxq1qyJLHLMN4G7yF+2TKeT4BdP4/Xoo1js8eORQxSVtkRIxEO/Ky5atmyJLJvjjz9e6xx66KHIilPRokVldCQoXbRVSXpH6MGABBFR0g4cOGA+xPzZZ58h121nn322zqJbt27Ionh43+6bZylXzjHbt2NSRYrk79+PTC8ccQRmxC94kWO33XabNEYvvfQS0o698cYb2pCJrl27Itfi8ssvR3EgsHDhQuTG4+eff5ZxW7dujTSlizYsMiRHDwYkiIhcon+bFTVr1tyxYwdy3fDyyy/rlMWUKVOQS3HyW+AelF+tmk4wf+BAZLno00+xtHl5BXv2IJPIgbVr10p7VDShz/0eccQR2pypkiVLHnLIIeXLly9VqhSygq6//nqMECd9X++3336LNKWLNi8yJEePBySIiNwzZ84cbWFE5cqVk7/B8qWXXsLkXPrEeC7zZeB+0IAB5mTzJ0xAZpLmzcuvUgWTPfdcZBLFo2LFitIwzU7oUeYHH3xQ27VIJk6ciKpx2rBhg04BaUojo+FCMlHcoUTkqVdeeUVvsBQlS5a8++67433Z/6pVq5o2bapTEHJ+XLNmDcooUb4N3FWjRn9PfPRoZCbgyy//nk65cgWbNyOfKE5Lly6V5inh29DF//73vwsvvPDYY4+tVatWvXr15D8333xzYrfHmLTp5GfMM4LZ1CQneB5k4E5E3ho7dmyZMmW0wVHt2rXr3bv3Rx99tG7dOlQyLF68+NVXX73mmmuqV6+O2kGnn346Q3a3+DxwFytXFpQv//csGjQ4GME7uf39wIGCKVPyg193wlC8eMEvv6CUKFGVKlWSdmrcuHFIp9uSJUu06Uzs41DkMrPBSY7uUySIiDx2+eWX69nNufr160vcj/HJJf4P3NXmzQXXXFNoXjKULVvQqVPBXXcdHP7v//Cff/wjv0KF0JpnnZW/YAEmRZQcvdNdIJ1uujAzZsxAmtLLbHaSo7sVCSKiVJk5c+Ybb7xx6aWXSlyuDZGqWLFiixYtBgwYMGnSpOXLl6M2uS1bAnfTzp35115bULVqofmGHSpUyO/atWDpUoxI5J6LLrpIWrHmzZsjnT76Opq6desiTWlnNkHJCZ4oGbgTEeWWrAvcrXbvzl+yJP+XXwpmzCgYOvTgv7NmFSxcWODq642IwtK34T7++ONIp8OXX36p4d2BAweQRWnnUnuoexYJIiLKDVkduBOlj8TKGlpNmzYNWam1bds2XYCl/LNSRnGpPdSdiwQREeUGBu5EXvn66681ulq9ejWyUmXfvn066/R2+VMYLrWHun+RICKi3MDAnchDb731lgZYv6TwhUV79+7VmSb8tSbykEvtoe5iJIiIKDcwcCfy1r///W+Nsd577z1keWnWrFk6u8svvxxZlFFcag91LyNBRES5gYE7kec+/fRTDbOOP/54ZHnjhhtu0Bk98sgjyKJM41J7qDsaCSIiyg0M3IlS4a+//tJIS/z444/Idc+WLVvKlSun0//uu++QSxnIpfZQ9zUSRESUGxi4E6XOUUcdpfFWw4YNN2zYgNzk7N69u0uXLjrZatWqIZcylkvtoe5xJIiIKDcwcCdKqTlz5mjIJSSO37NnDwoScswxx2BagcDHH3+MXMpkLrWHutORICKi3MDAnSgNhg0bpoGX6tOnz4IFC1AWy/r16x9++GGMGfTAAw+gjDKfS+2h7nokiIgoNzBwJ0qbL774ombNmhqBmVq3bv3UU0/NDVq+fLn+54UXXmjXrh1qGCpVqvTqq69iWuQXLrWHegwgQUREuYGBO1Ga7dmz57///e/hhx+uoVhMVatWHTVq1JYtWzA++YtL7aEeDEgQEVFuYOBOlFkWL178yiuv3HfffTfddFOnTp3k3z59+rz44ovz5s1DDfI1l9pDBu5ERDmIgTsRUQq51B4ycCciykEM3ImIUsil9pCBOxFRDmLgTkSUQi61hwzciYhyEAN3IqIUcqk9ZOBORJSDGLgTEaWQS+0hA3ciohzEwJ2IKIVcag8ZuBMR5aDUBu4cOHDgwEGH5DBwJyLKQQzcOXDgwCEdQ3IYuBMR5SAG7hw4cOCQjiE5DNyJiHIQ230iIv9h4E5ElIPY7hMR+Q8DdyKiHMR2n4jIfxi4ExHlILb7RET+w8CdiCgHsd0nIvIfBu5ERDmI7T4Rkf8wcCciykFs94mI/IeBOxFRDmK7T0TkPwzciYhyENt9IiL/YeBORJSD2O4TEfkPA3ciohzEdp+IyH8YuBMR5SC2+0RE/sPAnYgoB7HdJyLyHwbuREQ5iO0+EZH/MHAnIspBbPeJiPyHgTsRUQ5iu09E5D8M3ImIchDbfSIi/2HgTkSUg9juExH5DwN3IqIcxHafiMh/GLgTEeUgtvtERP7DwJ2IKAex3Sci8h8G7kREOYjtPhGR/zBwJyLKQWz3iYj8h4E7EVEOYrtPROQ/DNyJiHIQ230iIv9h4E5ElIPY7hMR+Q8DdyKiHMR2n4jIfxi4ExHlILb7RET+w8CdiCgHsd0nIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERERERERERC5ghzsRERERERERERERkQvY4U5ERERERERERERE5AJ2uBMRERERERERERERuYAd7kRERERERERERERELmCHOxERERERERERERGRC9jhTkRERERERERERETkAna4ExERERERERERERG5gB3uREREREREREREREQuYIc7EREREREREREREZEL2OFOREREREREREREROQCdrgTEREREREREREREbmAHe5ERERERERERERERC5ghzsRERERERERERERkQvY4U5ERERERERERERE5AJ2uBMRERERERERERERuYAd7kRERERERERERERELmCHOxERERERERERERGRC9jhTkRERERERERERETkAna4ExERERERERERERG5gB3uREREREREREREREQuYIc7EREREREREREREZEL2OFOREREREREREREROQCdrgTEREREREREREREbmAHe5ERERERJ4LFIZcIiIiIiLKLoz1iYiIiIg8h452A3KJiIiIiCi7MNYnIiIiIvIcOtoNyCUiIiIiouzCWJ+IiIiIyHPoaDcgl4iIiIiIsgtjfSIiIiIiz6Gj3YBcIiIiIiLKLoz1iYiIiIg8h452A3KJiIiIiCi7MNYnIiIiIvIcOtoNyCUiIiIiouzCWJ+IiIiIyHPoaDcgl4iIiIiIsgtjfSIiIiIiz6Gj3YBcIiIiIiLKLoz1iYiIiIg8h452A3KJiIiIiCi7MNYnIiIiIvIcOtoNyCUiIiIiouzCWJ+IiIiIyHPoaDcgl4iIiIiIsgtjfUqzyZMnL1myBAkiIiKiLIWOdgNyiTy2a9cuibeRICIiIiLvMdantMHlpqFnz54oICIiIso6iHgMyCXyzJIlS3C0GVBARERERF7Kkqirf//+iCIjK1Wq1NSpUzECZQDsGIMvOtwHDhyIxfUAbz5KhpNGoEKFCsOHD8cIlCYTJ07E/jD06tULZUREWQ2tngG5PrFkyZIaNWpg0SPj/RMZxacd7lhWb2AeFL9Zs2Y1bdoU2zGybt267dq1C+OQ92Rr9+jRA1s/sg4dOmAEIiJKCX/HHK1atcIJJE6bNm3CJCh9sDMMvrhCw7J6g2FQvJL8+4dcNmBC5L1BgwZhu9uwd4aIcgRaPQNyM5vEzFjcOJUqVQqToPRhh7sd5kHO7Nq1S37L2Hbxa9q0KSZEbpMrR2zlOFWoUAGTICIiL/k15rCHj2rMmDGoYdGzZ08UGwYOHIgySh/sDIMvOt0k6JTgJiaskkHiVBREhXn4h/2XhQLv1a9fH7O0kaJBgwaZjwvIf4YPHx7pprxu3bppNfKIkycP2OFORDkCrZ4BuRksbEdbu3bt7HeuTJw40V4ZZZQ+Pu1w7927N4LjyOz3XaEgqlGjRmEe/oHVM8g+RYHHIl1uK9lHEmNrU6AfCYhyk7VOkFyELVuYXO8MHTp01apVWkd2ilzpoMyGNx4REXnNl+c/+702cnZBWSwSZkl9PuaWCXTfmbKp0w2rZKhfvz4KsktaOtztLyQRzlsAMXXqVIwW7DVALrkq0kWXBvdIGNjhTkQ5Aq2eAbmZyt6B7vwJUYl8WrVqhQSlj0873J2YPHkyVsmAgqyD1TOkpsMdMyts3LhxKHbA+vIZZJF7zHuPhg4diqyoevfurfWtUEZERN7wZTuLU4QFCshXsPMM7HD3ndR3uNtvVC/FJ9YzEnZPkP3PISgwsMOdiHIEWj0DcjMVltIQV18bZQh2uGcBrJ7B6w73Xbt2YU4WEydORDH5lvWWI8UX/hARecqXoQlOERYo8JI+Kzdw4MBu3brJv0KSKPPArFmzBg0a1KFDB5lRXJ95nD9/vjmip0s4atQomUWPHj0SnhF2niHhTjdz1+jCyObydMWdwCoZku9wlzUaM2aMrJ0efpI0nxZMksReMkHrlFHgQIo73O0PRXbu3BllKSEbRw97ma/8O3ToUBevecaNG2dOWX7CruzfNP40oj+1jf1nYIc7EeUItHoG5GYkiTqwlIbUvH/A01OtnfUsKRERch3QEfv37y9LGNeIcdEgTTeFzDGB2MDFDndZAI9i0cTIAmCVDChIlKdRUzJhHlbP4HWHO2ZjgYKU8PSKO5mrnihkOhn104gCe9QCBURE5AFfNrL2R1zj6pJ2Qk6TYV9bGYXzd1NgBANyI7wrI0TYj5zoe3Kic/51FIxgQG5wmyArKud3HGMEQ1ydbh3i+UpM6m/KwIwNCXS4y2UtRnYgrtsTJJDFaA6E9Jkm/Jni5K8NJHjFtAxef/CnV69emJNjcYXXYR/tjATjOJDhPw2F2RvY4U5EOQKtngG5mQpLaYEC93h3qg3paB5o+XqT/Wk5u7B96BJ4oDiysF+TsgtZPGvHX+fOnZEbVZS/alsl0+HuXSzqCntkiIJ4eBc1JRPmITd+GD8JmJCFXDigzAOeXnGLZK56osjwn0YUWCaDHP8oICIiD7gfOqcGzhKFOX+zZHSYXEKcnLdQ1SA58fZjdjO+9Ogk9LcyR4wCVQ2Sk1g3q04tCtQzOOl0s7++3ySXT7Lxra8LDCEXMJiK9zBLQ1wd7lG2tqygQCIcTCIy1LOJMmWMGZTAhbFKPljHhCxQ4IF4Q/8QmEpkka7BZL6RdoS1pyAsv/w0FGZsYIc7EeUItHoG5Gaqdu3aYUEtnESSTnh9qrV3uNu7nmPSScXVuaZ0xCjsHe4O72sJEfOWo8Q63D2NRd2STIe7p1FT9DAv7LYNCfOQG6fk70SZP38+pmXo0aMHyjyAeSREtiSmEhmq2hw8gh1c9YTli59GJPamzPqnPiIicl36m/6E4UQRTjKPdlrjXSc3ztvPrBJmoSwC1AsnUgyH4sicjxizbwv1wokSyYW9KkNZBKhkiLlg9thX4gaUhRM2mEaZxzAzg8MOd/tdGDFDZ/vhF+XLOahhiHmfTv/+/aPflCG7DNMyoMBt9l0p8S7KPIB5OPsWa9h7Z1AWjlxToZIBBRHIusthEP0vFj76aSjM0sAOdyLKEWj1DMjNYPYTvSnJr45jKt6cakX07vWwt8mPGzcOxZE5HxFlEURfvEgRWtjTd/SIKN4Od69jURcl3OHuadTkRZiHCRlkn6LAbZiBBQo84PUVNyoZkr/q8dFPIxIshAUKiIjIG/5uZ8MGQCFScGKz38iAgghQqbCYy9k5whOmCYyIgghQqTCHPWKobYGCcFDDEH0Wcj2GekHO7xkPGbFUSr6xiZkZnCytPYyLHnyb7CPK7wJlFiGXJa5sh5R1uNtfmuT8qc/UwGIZBg0ahAIb1DA43MtR+OunoTBLAzvciShHoNUzIDfj2buNQsgJJfnTWUyYmSHKqVZE6tFGcWSoZ4PiyFDPEP0PEgkvnrBHX1GuBeLqcPc6FnVXYh3uXkdNKDa48rvAtAzZ0eGeAOdX3K5f9fjrpxEWZm+BAiIi8kyWNLUSaOLUEZV3ZzjMwIDcCFDJEP3P6VYYweD8Jl+MYIjeWYlKBueRqLBHFVHuPkANQ5RON3t/KwqcwTgG5HoJczI42Yaoaoh+r02IkAA0bFgZ1xWXQynrcLfPyLuLjcTILsaSBUX5UaOGIclb9X3301CYn4Ed7kSUI9DqGZDrExLjhfQ5hhXzhRsJc36qFfawx+FVQDfbF9od9qzZ/yyBgnDsixdXYCORHkYzoMAmrvAPNQyux6LuSqDDPQVRE8oMrjyRiWkZvIuBMQMLFGQMLJYBuTZxHfZOYCqGDP9phLBfnqd+GYiIclPGnUeTZ3+UL4TzDm7nMGkDciNAJYPzziaMYAh5318UGMEQfURUMsTbF4bRLFBgg2JDlBmhhsHhB6lMGM3gfLslDHMyxOxwT/ipWOUwrKwQ7o3/cYWMIez94Chwm31GssVQlhlCLrOj7HG54EclCxkdxXHC+IbM/2kozM8QbyNDRORTaPUMyPUhOZeFDSqsXO8WdH6qFQn3uE2cOBEjGFAQS1yduUl2CNpHj/Q6TeczSk0s6qIEFhj1DF5ETe6GeQpTMcimRoHbMAMLFGQMLJYBueG4eNXju5+Glf1J9+g33hERkYsy7jzqruHDh+PcYhPXGVfOTPb7VqLAaBGgksF5ZxNGMGRmh7t9Q6HABsWGKDNCDZckGfU6gTkZYna4R3pfUMIwXRv7ZaRVvF9GsveDo8Bt9ovY6A+Su27VqlW9e/d2cmefirnHUS+CmC+aNGEEl6Tgp6EwPwM73IkoR6DVMyDX/6J0vqOGA+6eahPu5Ep4xLh65ZLvg8NohkixvfMZpSwWdUvyHe5JihI1oUYEzsM8hdEMsk9R4DbMwAIFqeLuFbdbVz2++2ko+29foIyIiFIiV5pdCcpxnrGI8mxp2NsTnMNUIkAlQ5Z1uMvEMaYBBTYoNqSswz2Ze7odwpwMSXa/xsvJc4KtIn9kXzl5BjZlHe72ZyEFyjyTTHgdc48r+7Wi3fz581E7HFRySQp+GgrzM7DDnYhyBFo9A3KzRdj+HYHicLw71Sbco53wiOntcI90JnU+IxS7JDNfKYN6LokZNSUf5ilUNcg+RYHbZK9hHgYni5cMT6+4TUle9aCSS1Lw0wh73eTdYUNERJHEHd7515gxY3DCMYT9tnjYU5SI/v10VDIgNwJUMjjvbMIIhszscO/RowfGNKDABsWGKDNCDUPmRwxYUEPM7lfnjwV4wf7TsEKlcGSXoZIBBR7ADCxWrVqFMre1a9cO87CQzCgHXsgedNjhHiJKv0OvXr1QqTAUG/wSTGNxDfE2MkREPoVWz4Dc7IJ1s0BBYV6famU6qGdAQSwJj5jeDvdIr4lwPqP0xqIJSL7DPcrB5oUEwjyFSgbvFtt+tHjXO5yCK+6wErjq8ddPA4towXfIEBGlS6bHUu7CaccCBQb7ub935G9+WqG2AbkRoJIhyzrcMZoh7F81FGoYnHe4O9wpaYQFNcTsfrV/9RcFKRf2+8Mos0llh/v8+fMxDwuUucr+MDsKonKlw90KE7KQ6zSUWaDMkPk/DYXFNbDDnYhyBFo9A3Kzi/1JR/tNsik41Sbco53wiKnscHf+onnnM8qcWNSh5Dvc0xg1YQkswoZ5CjUMsk9R4AHMw8KLrZSaK+6YHF71+OWngYWzYIBNRJRemR5LuQsnH4ME7igw2J84Q0EsqG1AbgSoZHB+LsQIhtR0uMf1jdlx48ZhNEOURxFRwxBlO0gQhkoGFGQqLKXBSfcrqhpS/I7yEFgIQ6SF6dWrF2oYUOAN+zW8QJl7MF2DXBKgICrXO9yFk8tp3/00FJbVwOsBIsoRaPUMyM0ucgbE6hlQYIECgxenWt91uEd50aUdxrFAgU1cq4MahvTGojEl0OGeUVGT87+aoNggK44Cb2A2FvZL5iSl5orbIUzLEPawR5kh034aWCyLdu3aoYyIiNInnXFGYiRUSqwzC+cfCxRYOLlIsIs3aEAlQ4Z3uCsn85o1axZqG6J31qOSIfp2QCULFGQkLKLByRFr/1uF5KAs5bAEhkgfd7J/yxQFnrF38YsoT1FEYX7hDWmDZpqc7AX7CygTa6NCTJ06FZMzoKAwlFmgIINhQQ3scCeiHIFWz4DcjCSLF/3dDmHZOzTDtvAoM3hxqvVdh7tCcVT2F22jIJy4ViejYtGYEuhwF6hqgYKUcxjmCRQbor9/xhWYU2EJfOnHvFII+aNaaq64HcK0DGGvejL2p2FvDVy5BiEiIlekLchIGE4mhphfGI8rorW/tiL6q+vMPrsQKI4AlQy+6HBXUU7hqGERsxsU9QwxtwPqWUT/xI2VBLUakSDtMV08k8PQR/YLRrBwHt3KBpT6NWrUQLownVqkUiutaYWCcFDD4N2rHk32p1BNnTt3jn6DmG6iECgzINciyi6wx98q0h43F2Do0KHIimD48OFa0zRmzBiU2aCGRcb+NJQupMl5G0hE5Gto9QzIzTz2P6jHvKk27Pupu3XrhuLCUGzh4qlW+bTDXUXqywsbxkT/pE28q+NpLOquxDrcBWpbuBU1eRTm2T94EOlWGBc1bdoUM7OJ/k5wWTbdRFYhDYjXV9xa6u5VT6b9NOw7KLE7kIiIyDtOQ5PMYf/jdryi3xcQKayPLuQcjGlFgEoG551NGMEQvd/cCiMYoo+ISoawwX1MTj7PgqoGJ9sh7A3OcYl5xegKzMwQ170GGCcJmFBhKIsfxo8gbPRp5zwedch+p1tiwj7GjrJ4yC7G/4JidrjHK+Zxm2k/DUw0aZgcEVFWQNNmQG5GwiImAROKAJXi4fBUq3zX4W7vgXUCk4sssdVB1SRgQl6Ka4OH8Chq8i7MQ71YUNs9yV93i7CvN/H0ihvF8cP4kaFeEjCh5CR8pIXl/A9OREQUF/dPzKlhv/Umprj+6mt/JDYs8/wUsjyaGQkqGZx0NCuMYEhZh7vmOzy1R3lpewiMYHC+HTZt2hTpTofoXO/2jQTzM8TV4a4cdmSHiHQrmbLfbxJFXO/+wziRoZ4HZJ9iHo7JwRP9djAR5T76EFOnTtVRkA6KsscHDRqESs44/0GJzPlpYLpJw+SIiLICmjYDcjNYSB+3E87fbuzdqVb4rsNd8x3eT+A8SEt4dYQXsaiLkulwV15ETd6FeTH/SODpgwVhH2GJrn///hg5Mu+uuL276hFp/2nEe5hFxw53IiKPxB2aZLIxY8bI+U8MHz5cgjAJMVGQNJmaTFOmHPMGhCyAc68hbD+4RKiyKXSDhL1HOPVkSSQI00USyM0icrUp6yUrKDGW/Cdml3FM8gPRCepGM69mk6TL6eIEE6PLIJLfUMLcVtLIxNUD7oRMeeLEiTJxbbiQ6x6ZZnb/NIiI/AKhlQG5viLnkYNxQ5C7pxVPT7WZxmE/uGwQifo8Cg8S4HosmoFkvdyNmmQiXoR5waU7COl00OtBhazkyHQ8uuL26KrHlAs/DSIiildWdbiTKxD4G5zfeE5EREREkSC0MiCXco/DDnciIiIi8imGdxQKgb+BHe5EREREyUNoZUAu5R52uBMRERFlN4Z3FAqBv4Ed7kRERETJQ2hlQC7lHna4ExEREWU3hncUCoG/gR3uRERERMlDaGVALuUedrgTERERZTeGdxQKgb+BHe5EREREyUNoZUAu5R52uBMRERFlN4Z3RERERESeQ9+qAblERERERJRdGOsTEREREXkOHe0G5BIRERERUXZhrE9ERERE5Dl0tBuQS0RERERE2YWxPhERERGR59DRbkAuERERERFlF8b6RERERESeQ0e7AblERERERJRdGOsTEREREXkOHe0G5BIRERERUXZhrE9ERERE5Dl0tBuQS0RERERE2YWxPhERERGR59DRbkAuERERERFlF8b6RERERESeQ0e7AblERERERJRdGOsTEREREXkOHe0G5GaFVatWDQyaPHkyshKCTRP/xhk1apSO2KFDB2Slgy6DQJrIGzjO4jnSJk6cqKN07twZWd6TBkFI+4B0ZFpz06ZNSKfEkiVLdJvUr18fWSkna+1K40lERJkmG8LBXbt2devWTcJriR6cnM4jkfOcnnF79uyJLMd0RIF0OiSz/ETOJXZNq6MIpL0nyxkMXwfGjN3HjRunNZFOFWyR1LYbsllkx2HGgUCvXr2kCUUZERF5CS2vAbn+N2bMGKxSUI0aNVAQP0wi/o3DDnfKKTjO4jnS6tevj3FSdXxiZoZBgwahwMbs+BbISon0drjLFYrO3cQ+dyKibJIN4SBOUAbkxm8gO9yJHEiywz2Zv4o5Z+1TVigIBzVS/vvFXFMyX8wpslKlSqEqERF5Aw2uAbn+p6tToUIFOZXo/yVUQFmcdHSBtGPscKecguMss480LGIwyNT/9OjRA2WF5WCH+7hx43TWQ4cO1f8IdrgTEWUT34eD5vl71apV+h+Bsjixw53IiQy5po3O7HAfNGiQ/kegzAbFKf/9Yq4pma/MRS4qkChMl0Ehi4iIPICm1oBcn8PKGKuDRKJrh5ELjy7nr8mTJ0+dOhXpcOIKTmRqCmnH5s+fH31EXQaBdJx04iKuh890FFk2pJ3RsQTSbsAUE3oxiI6IhAPx1k+GzitSHGVyUk3rCKSdsY+C48zLZkSP9lmzZiEdPyxicCHNa/ZWrVppqZXZ8S2QFZluDRHvYSbroiMiHU+Hu7ZCwpWX3nTr1k3nq0eL/l9Yl42IiPzOw5N0CphdzGPGjJGkeepKrB8wbIe1+a6J6Oc/HVEgHYGcU3VqYuLEich1RhYg+ohSpMuQQIe7hPXDhw/X6QvkOoAR4nzrnDkvF6MK2Sw6TRHXJYes+6BBg3REJzdfx1s/SRIaOpmXk2oJbHZzZa0Pgaagw9082hOO8s0Od5lIzL/GocxBiJ/wYWaukbW/AHONNV8ZRccVHh1yWA4HW4CIiBKGptaAXD/r0aOHrot5dpP/aI7QnLhgzOC4+F849v7o6MGJtTsvElS1sf7l3k6uPlAvCLm2qZkXKUK72JT15tawIj1/1q5dO9SIKiRsqFChAgrCSeyWnaZNm2L8CGTXoKoNakSAShYoiACVgiRk0sxIK2UeEvaeVs0Xcpjhfxao5LiaSGyzW4+ZEDIK/hduK0US5Tei+cL6/xCRDsUoMKaxkDVq1NCk/a1T1l8osgrz6DCLchgIuQzR0khQL07m3x6Qtiyhi5fGRESUdgmeJzKBGdxIEIMsy+kq+l0wYVkjsygndSnCCBYoi3DeRVlk/fv3R9XCYl4eoF5QpMhy/vz5mi9CipAbWdizvvVSKoqQWErWEQUR2K+dYjJXOQpUtWnVqhVqhBNy+STiqo/cyHNHsa2CuUbyfzMaM2kd4bCaSGyzR48vzYvDuDrcdRSBtMG6LhLs6v/txo0bp/Udsna4S9La525fZRTYlk0lc5hFucTq3Lkz/hdhdJRF4OIHr6y7G1lEROQBNLUG5PqWGaaG3LJqhkwJnKp0RGXv4LOesEICAyediWFvrbW+RtneZ4eCCLG6nsqRCNLKAmnLiyOEbDHkGiSmst7TYGX2t9q3g+YL5yFN9D+EJBYJWMcKe9uvNa5DlsH6lwZkWWjYZt1c8dY3g7dI3dnm0Rulw10h1wbFBuQWlvBmR264xevVqxfKgpDrgJPfiLAfbzFD1kgwjmUss3EImYu5OwSyDMkcZuYqC/uvDwVBUQ6DsPe6oSz+KxSMVnhRkcUOdyKi7BLfWTOj4LxkO7Mi15YfU0i3mv1O0iinc+Ta8q3TRFZh1m5cZBmixNlC/96ARFDYyFJzRNhwM1JHv8BokdfI3iVtxpT26xnNF0gXhrI4QxaMY/SohrBePtkni4JAQGI4ZFnItgr5swpqx18faRsUR968KtLfjRxWQ3Gcm928W00gy0KORpS53eGu7JE0CuL8K1pIh7vQn4wK+XUjN9z6oiC5w6x3797IMgwfPhxlQcg1mFeVYbsGolyeJQbTSuiPXkRE5BxaWwNyfQurEfXsGe97TjBa5I0TqWMuUmeiGQ/YA1crrSOQDjKj9LAxQFhaX8j/rX/st3f2OYGRbVtDM9u1a4e0xeTJk7U0ZJk1UyBtI9GsVkhsZSOJtP01UyAdC2o7ri9rofXDXgEJJx3u0TcFKkWthhpxbnYzM2wcqLSCQNoBJx3uSNugOJ7ZCYxTeCzzClcgK2qHO3KjzjrhwyzSYWBeDelj9GFpBYG0A1o/yp/Q2OFORJRN4jhDZBTzDnR7B6j1wU9kORMzMhNaQYScDpGbUIhgPl5n7ZWzdg4iK5aQ5df/iyirE4UZDIXc7KOZAunCUFa41FxB+98wTFpBIB2LeePw0KFDkWUTaRuaXcYO+/fjrS+0vkDaBsW2CuZODPtXFpOTaglvdmRFXvgo8XoUOopA2hDzdyeRrlawXxFFYUbeMn1kBWmmsDYdyLItWzKHmfn3uV69eiHLRisIpA3IjbwLzJ9nlAVzwtoXgCwiIvIMGlwDcv3JjI7ChhkJxLEK40QdCzUK14kUnGimQDoCVCoc4SMrnlXACBZhu8XDkojFjF5CoIYBueEWDAWFiySCRa4DDqM784LL/noQq7AdqeaNBQ7nFW99ETO8dNLhjnQEqBS5WsKbHVkRbuhWqBFrIa0ypMNdyDUvCoyiSB3uyRxm0R8vUJEOA810CONEZc4o5E8CSosEO9yJiLKJozNEppk4caKekyKFsOY1QJQ7uO1iRmbCfEFHyEOymimQDpLpaGb0J2rNW1EEsixPCyYQWZqrL5zcsip1zEW1C+lwN+div+fCvBcg0sZxAuPEgtqx6qNS4atBZLk9LyuMEHkUFNsqODkIhZNqWsEhjGO58zpKXJviDvcoV0RRyLLpWDJ9ZBk0X5h/QUHatmzIjbwfFSrFf5ihRuE65gZxIvpxEp3ZUMS1H4mIKGHa6pqQ60PRX2seIsrNAXYYJ/6zZ6Z1uMv/ra/1i9Rzar0KEBIDyIpIpkKubQGsD9iFhXoGc+NEuWM6Xma4Ej08C/unfXPLOAzt4q0vkgkvNV8gHQEqRa6W8GbXsQTS4aBGrIW0ihLAa75A2gbF8cxOYJxwY5l/RBGSDNtjLpI5zKL8gkwxO9yRThom51ikb7YREZGPuHYWSSWciJxx0uOsYkZmwvyDvJNoXqajmdE73M2/HwhkWcZ13qEWsvz6fxElQEGNIIllJS5BgWUBJDhDlkHzI7HHByhwL2QRmGKsaaJS4WrIcrw8qB3P8mOEyKOg2FbByUEonFTTCgJpZ8xYPIs73IUWCb1DHAnbsiE31jZEpcLVkBV1XNQoXMfcINHbjWTIltRZxNUJQkRESdK214RcH8IKOD4/RnpNuR1GiDxla18zsoIiBSeaKaIvAyoVniayor5WIgRGsEwH6XBhTMw7cFFWuNS8cDCvcebPny8xvMRLmgxLRxFIJy3SjghhPpNnDfPCdo9GEW99YR4PkTq7U9DhLlDD8WIr84u47sb5UQJ4zRdI26A4zhXBOBHGsj4BIEn8r3DlZA4zoZkCaZtIh4H5kKv16jgZOjXn5MIcYxIRkW9FO3VlJpyFYr3Q2QwpBLJiiasTM+RVNsgtPC/zFC6QFY756g9ZZmQl9Jpm+/Jb7x2wR+EoiDB9mYiWWpdKaGZcPa3mjbTxvsczCp2g0A7TsCI9zowsxyEUascTcmGEyPsOxbYKTg5C4aRawptdxxJI20SJ16PQUQTShpjrEuWKKIroHe5CS0XILTZWyE3oMDMjdfsL3E1aQSAdFGmCrpDLTkzag4kTEVF0aH8NyPUbLH3U912YUNXxyqJ2UNh3sqHMFoo76UyM1G+OYts0rWfkkCKlIQQSQVpZIB0UKSCPfrXSOcKXKq2PFzi/DdbskXTxb+0xg4oonwUyL38iLY/kW9cu3vpC6wvrA4jK+k17TzvcE97sOpYIuRATcj2CsiDkOuDkN4K0DYrjmZ3AOJHHsl7wmlBmSOYwM19CK5Bl4fAwsF9Euw5zinyxqevo3b04RETkhYjnv8xkvmgl5BuVYZkn0Sj36lqZHX/KHpxJqKRF9glqvkDaEDNEMBfSfpo3i8KGaNoLae1LjdRxqZkiZDrIDfcQgHnvjAiJ85AbNHz4cAkLIkUGVhghzu9eRocpRugMjfIXC+vlU9gLFb2vBIn46wvZm1rfvu+sby0UyDU46UkXDqtpHRHXZjcvaQSyDNZNIXzd4S7MX7QJBRYoSO4ws49rNmUKuQbz8kwaAWQlLdJ1e0zmDnJ+fx8REYWlzakJub5iRrZyqkJWVNbeYWRFharBP1fjf+HYY9conYnC2rMWVpQTLmpEEDIicsOtLAoKB4cS/CA3HPNOZ9S20PzoUNVgBlTRobYz1kuGSMIGz8IMMCIJuRaLt771vng7M07ztMNdJLzZURCOHOTm1kBtBzKww12EXFwIFFgkc5iFhNwhzDvow15lmBd0Udj/IpIATCtCh7v5OSsR5bqGiIgyTXxnzfRy+EyZFWo76yqyBi76n7DCTgpl4RYs7J/uQ9gvG5QZGEWCekHm8ts7Lq3TsZ7IkRWO+ZSfPYyw/hUhEnsPo5OxnPTdW8UMg6LcCIAaEdhHREEE9vpRlk02qdkdjNqGKDvRymE1kdhmN6cfllTQ/4S9po1ERxFIG2Kui3cd7iJkNyG3MI8OMzkMzMts1LZw96o45ipYYRwDcoOQRURECUFjakCur0hYK2GD/Iu0AzqKPdgISytbe041ahK9evWKfk+9k7lMnTpVTr46wf79+8e1IoMGDdIRe/fuHWlEOX3LMkS60UEC/kgLKasp4YROHFlBUjlkXuaNEVHmohUEsmzMrSokUgq7SPGS6WCKHTo4f4mQkBXs0aOH8xHjrW+urOxx6zWXTEdW3H4VFn0nmhxWs0pgs8tvQQ4JqS+HR8hFqIzuZApWkUaJuS5RDt0o9GVHDp+1dTj9hA+z4cOH61ghlway1jLfkL/WhJDtY85XdoT8337YJENatuirrwvg4sPiRESUAuxAiUHOfHJ6kzO0k8dmY5IzukQGMsGhQ4fGe8qcOHGijCije3GulSkLiQKRjkACUw3fI32uVpg344RcMFjpVtU5hlxFJMycZpRgJSzZKXGNGG99c8e5cgglI4HNHu/KZj1zG8a7QfQwkC2fwGEgO0tnKtKyI9J+6BIRZQcNkEzIJYoHjp6oxw9q8BgjIiIiShPGYRQHBO+Rb8kX5i3VMbvviYiIiHKHBkgm5BLFw/rUWqlSpfSP8SrkPTwYgYiIiIhSjqEYxWFX4bfs1ahRQ++6FZ0tb4gWkd6jR0RERJSbECQZkEsUP4nJzRfTWXXo0CH6yzGIiIiIKAUY61MilixZYn7X0SRxv+SjBhERERFZIGAyIJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyc8aYMWN0xTt06IAsil/qN+PAgQN1jiZZBpQFxayQxbDCWfFzxprwb4GUMSpUqICD0oACIiI/yKE2C400m+nkYCOmajMuWbIE87NAWVDMClksmy5ceRFOmaZVq1Z6TJpyp/uAiDyC1sSAXP+YOHEiFj0eq1at0tFHjRqlOTzXJyPFm1HnJTp37qw5/fv3Hzp0qP5foDhyheyGlc+Kqw+sSc5cSXmnZ8+e2JQ2El6iEkUlzQg2WSAwefJkyZk1a1bTpk211DkZBVMJBJYsWYLcyMaNG4faNlKESkREzvjphIqmLh7169fHyIwhXIKNmJLN2K5dO51XqVKlkBWMYPA/BxWyWzZduPIi3Du6YU3IpaiwsQIBOTI1Z+LEiRLo6/8d6t27N6YShNzINm3ahKrhoBIR+Rl+zwbk+h/WJ9YaZdq5Xi4TdHmc9MIkwKPpp3Izmn1ekaLrmBVSw+tdGYXOVyDtZ1gThhzJ0W1YoUIF69EYEuP5pesWi5uOQwIzTnTW9lvjRfT2YerUqagXCEgMj9wgs4UR5p+QiYhi8v0JFS2fpVskEtTLmBgCS+PZ8mDqbk8fE03JZsScIs8Lxenep1iIlC9GNnVSZ9O6ZBTdqlYoyHhY3HQssByEOuuYp5WwOnfurKOHQHEEqGS79Wn+/PkoCEIuEfkTfskG5Pof1ifWGmXauZ4d7jHFPCEmecZ0CzvcXYE1YbDhmW7dumET+2QjY1nTsbSYcfyzNt9wpffFC02KKO2DNd5Glg2K+QMhIsd8316g2WOHuw2m7vb0MdGUbEbMKfK8UJzufYqFSPliZNqFazKyaV0yxK5du3ST1qhRQ5L6f6GlmQ+Lm44FTua6XUeUWF+T5oEtNCcs1AgEZK8hq7BSpUppBT6JTORr+kM2Idf/sD6x1ijkXB/yB0U1depUrRyJnNRQ1aJdu3YodiDk8SM71LOw3vloJY3zpk2bUMkQ1/Sl2Tef1wzRrVs3VCossZAprhlZT152Mt+YFTAhQ2J7rVevXqhqYT0PJrArhw8fjrLCoh94YV+mpKMgEc/P2XyPooYZif0QIu3N/v37o0YEyaxLAlvPXFmrChUqoNixKIdcpDuOURxcnZAbzO1vJknswIiX/DQw3XgOGJMsDEYuLGxDpMze50jPoMhBqBUk+kWW7VQVIlLTFElcxyrKIkClOGHkqIE9akQOxYW5IozGicihBJutzKGtnpDTMLIiQD2jpTb7L0zaLRVFpPsW5QyNGg5gnAgkskQ9g8QQKLMJe7ZDWQQh04+0RiJSeIHiOE94cc0IBRE4qWCV2F4bOnQo6hVm9qMJZEVg35Vh42kR/cALewBonJrYFZeOIjSZwA+hR48eqGoj64hK4SSzLglsPTOCDGHfNdFFeZdfpDcJmtGtJkOeatRMU2IHRnSzZs3SiZhPRGpSaDJe8TZECjUizxTFlgpR2gqFes7EdayGvbA3xXt1oazXh8iyMecb/fpT6wikiciH8DM2INf/sD6x1sjeZSZnOu0BCSnS+lbW/jJp25EbhNwgZMUyOUjmrmONGTNGc0RIXGp9/6/1JQMhPV8h5xSdVMzpmxVC+sIkqfnC/uqJBMK/BGakS9vK+JxJ//79NUc4rCAS3mvW6FTWVzNlyuaKmHMJztDRrjT/mi6svZPmW3GEjIVcg+SgLHi4amdcyN5XWt8J6x7U/8iUHf4QZAFQFmRdYOvelA2IXItk1iWBrWedsnUUjatDDsXodCKyUtZZWI8ugVwLFFjIT1gu8WRdrH/sSezASIC13xlZjiXWEInEOtzlOkJWWWiR0KRCpVgSO1ZlFXQuKE5o1iEwIWcd7kiHY15eCWQREUXl+8YCbV48He4m8+/h3SyPd4X9yA/KbB0i1p64iRMnItcZjBa5vZaTCmrY7gGxRmNhIyqB4sjT11L72dca4yLLAgXxnGa0frwzEiiLtQoC6cJQFudes0ZXgwYNQm7UUyxyIy+ndVeGzNHaFYssCxQEmYdrSCwuEutwNyXwQxDWFZHw1LoiYV91jbKguNYlsa2HXFtopTdDIeGATkSO1ZALUTk2tEiEFAkzujUvpeQ6U9Zaalp/sAkfGNGZx7A1MNUcgbRjyTREKIs8UxSHq4CC+BdYYeSgeI9V89IrSlzukHUTIcsGxbFe6IlKEZaZiHwBP2MDcv0P6xNrjaxNYshZT5kdUp2Nz28qOYFqfthzjUisHyRma29GqtYerhBaQdgb5yTPJjquQNpgbsa4wr8odGoCaQszjJGZIquwKBUS3mvIiufmYue7MtI5VEuFtcvVXAWBrMKsVw3IciD5H4JAlo0GugpZQcmsS2JbD1nxbJkEmH/ysR+Bmq8i3bac2KrFFOlmGuudW84l0xAl1uFu0iKBtGPJHKsKBW4cP5hQ5PbB3AgCWRGgkhtLRUS5wPeNBdq8eDrcIz0EhGJbA4rcyA0riqM+gmSHcSJM1topjCwb662gyLJAQeTRo7DfP2LSfIF0cqLMSGiRQNoGxQmtPooL77XE4maMEGEUc1dGOvDM642QCxLNFGFjcYHiRDvcE/4hROkWRA3b053IjX9dEtt65u0eIRcqrtO5CKQNZnQrIsXWCR8Y0Zm3wIQ0R5opkHYmyYYIuZHHRXG4CiiIc4EVxkzoWBXp6nC3L4kVKgVv30MWEfkNfsYG5Pof1ifWGplNYpS4RSsIpIOQFXX6qBHPVo3e2ltvHUVWOFFOlDne4a75AulwUMNSx0ngYRd9U5u9aRUiP0lmblVr6Gh2dIa9TlFaQSDtQPI/hOhHFCoVjisSXpeEt571F+TWsWpnhtz2eFvzBdI2Ca+aE7KdhVz4yIKZPxOT8+77JBsic/ukuMMdoyV0rCoUxD9rO0wo8sKY11wCWRGgkhtLRUS5wPeNBdq8eDrckbZBceEK5ovnQm7ttDLvdY10JgtLRxFIF4ayJBp9FMSaQliyIjqufatqvkA6OVFmJLRIIG2DYluFhPea5gikncE4EcZCWdRpooaljoRoyIo8ohkCxhXF6igCaRsUF65gvmMneuevuVWt1ZJZF80USIeDGoXrmNcVIuzd+q7ADGyLFzO6FVpBIB0OakStY4Xa4eqjwPGkFMaJNRYq2aohN/LoKHZvgUUyx6rK8A53+UEhi4j8Bj9jA3L9D+sTa42cxC1aQSAdhCxnMI4D0Vt7M0aN2dGm1QTSBidnE2tHTySoakgs/EtgRsLsKJSZIquwKBU03yGMY3nNWlxrF31Tm1GZE9ZX3yAr6kGFGlHrhEj+h4B0BOb9TNadojkC6XBQo3CdhLeeMi/KrOK6W1yZR1okspyoakBB5FVOctUSg8k5+IaBSrIhinlJIj8ZreBRhzvSEYQ9VpXmC6STgAlFboqtb79BVjjWBxeQRUQUle8bC7R5kQNBE+pFbh9RXLiCeZJzIsrdlHYYJ8LyoCxWa45K4c4fKIg6BdSIzK2TH8aJLOzuQ1nkeaHYViHhvYasRNcO6cJQ5gzGsdxrHyUWl40Ws46djiKQtkFx4QpmmGsPZ63MoE0gK7l10UyHMI5FK+M5U5PD6NbK+txDJKhqiBndCq3gEMaJClUjVEaZs0mZME6ssVDJ1hAhN/LoKA5XAQVxLrBI5lhV6epwj34GQaX4NwgRZQ78jA3I9T+sT6w1chK3aAWBdBCy4nyWNKborb2TBlxEuSM75tlES0X09/ghbUgg/NP6Iq4ZCfOUKjNFVmFRKmi+iGuvWb9diSwHom9qJ3d+hIVxIr9vRKBGPFNO/ocQvcMalSK84CXedUl469mtsrxmRCA3lugvHjFDbnvUp/kCaRsXVy0umKWzmSbZEJnbJ9IfDMx42KMO9wSOVYUCN3YNJhQ1sEeNqO2V2dxFub4jIrJyoQlLL231RKRA0IR6kVttFBeuYJ7kojxrlhidrEC6MJTFOsegUrhqKIgwBfO9E2HXy+ywjhI9Ix1LwjMSWiSQtkGxrULCe03HEkg7g3EijIWyOKfp5E/o5mo6v+ISOopA2gbFhSuY4VqNqF/yNKtZX5OSzLpopkA6CdZLuP7hPosfFkaIEKKhzLZ45nZw0uGOdHKs1wwOOTlsUDXWQqKSrRpyI4+O4nAVUBD/9knmWFUp7nCXSyCtEGWBHd56Q0QZDj9jA3L9D+sTa42cxC1aQSAdZLbY0R9dipfZ2kd6VZeWikgvxBOoEa7DKPr0zQetIm0NLRVIG+IN/xKekZBRtEhmiqzColRIeK/pWCJ6V52V810Z/WGyEOamE8gqTA4MFMc6+K0S/iGY100CWTZm93TIZk9mXZAb59aLxAx7Iu2sEFpZIF2YeZjJf5Bl0HyBdDio4dKqOZHA+0tRO6GGKObLUuQ40VJ3O9yTOVaVFgmkk4AJRQ3sYy6w9c9FyCIiisX37QWaPc863AVy3W5bMdEIkzVjEYEsGzO4DPuImRYJpAtDWYTSKP3gmi+QjgW145+R0CKBtA2Kw1VAgePlVOZHiqJ31YXQUQTShZlxVdg4JgodS0S6FQXFjq+4FMaJf6siN+o3rFAj8rjxrkvCWy8SnZpAOirz+Iz0kSItFUgbzOhfpoAsG9dXLTqdl0DamSQbIs0XYfe7+di4QJaFeQEwf/58ZDmmI4oEjlVhrlFqOtwFakReWRRHvTGNiDIffskG5Pof1ifWGiXczyisvSHDhw9HroWeVR124SlrD6PZSxXysBGKg0JOCuY9JSLsTZExp48yWz+a+ZoFhVyDk80YQuuLuGYkZBZaFDZQF9ErJLbXZFvpKEKCAeu2NXvoQmYX164MG+TL6VW3BtIG6yayvtKtW7duyDWgwIFkfgjmBhchQab13ouwsWUy64KCeLaeVg7pyE7gCQYzKhPICgq51ySxDneBSnEeGJHopIREucgyWONegVxnME5QvA0RyoLMceU/yDKEPWZQZruVCv+LKpljVaA4zg0VFiYUK7C3PhhtfRjI2iIJ5FqgIAhZRERBvm8U0LZFDgRNqBe5HURxrGbU3t9hdpwh7YyOIszTjJx7hP5fWKOfkPdgWHvB7KdzheII069QoQKKC5+brVMW9q2KAscrm/CMBMoS2mUCZUHO95o1qpOFNMOTc6n+AAD/9ElEQVREMzgWmmNCbuRdaX0W0v5Kk6lTp+pMQzoHZXPpKMJ6vWF25pqixOt2GCehrYqCIOvVkWxe5AYh1yKZdUlg62nlkNjOeqN9yAVnJNbFHjRoEHLDBakoMDjpcBeJHRiJ0bkIpB1LpiGybnO5XNH9LmGr2SyY/9H6VtZLMjM+jtTc2WHMoLiOVWE2AtHj8rCkxdCfvzLbGYGsINQ2WI80YV7JyLbSyzxlXx5ru+TKcUJEnsLP1YBc/8P6xFojs8lKoJ9R2cMGKzMMc856njKhzGC9sdHO7N4NK+b07X2dQjv+zO4qrWlyshntEpiRMIvCBuoiZgWR2F6znuBChN3mTnalnG2tFyZ2IX30JhQXptGFuXZa04nkfwjWv2SEiHSPiAn1CnOyLvFuvSgLaQ+Eoov0G9TF1v/Lwmtlk+YLpCNL+MAIK6RjPURcP1urZBqikOhXySprqSYj/RLt7+eU+B9lDiR8rKJSPL8sJUcXxowFIxQmFzsoLizsbfjKvElIIIuIKMj3jQLaNo873JXZC2MnRdHPc2HZz0D2VyuaHwC0s3cih4g+fVngsLGFroj+375VNV8g7UBiMxJaJJC2QXHUhUlsr5nXDyEixVtOdmWUKwdhDxOVzBE1LGR2WqrJuEI3HUUgbYPiyBWsPYBWMRcjmXWJd+tFiptjNhR25uWHlS62eXRpTZM5irl2USR2YMQLk4v6Y4kimYYobOSqPz3zh6Y1Q0gdLbVCmTOJHavmbk2gw11HjMn+9xURdn2V+Ze/ENYrKP17BhFlMvxcDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJ/KBmTNnvvnmm4MHD7700ku7dOnSunXrww8/vHHjxlWqVClVWIkSJerVq6el7du3P++882699dann356woQJ8+bNw+SIiIgo5dDRbkAuERERERFlF8b6RBlkw4YNkydPvvnmmxs1aoTLcc+0bdv2sccemz59+u7duzF7IiIi8gxOwAbkEhERERFRdmGsT5ROBw4c+PTTT9u0aXPooYfi+ruwIkWK5OXlnXLKKXffffeoUaN++umn5cuXb9iwYfv27Tt27Ni/f39+YTLNvXv3Sum2bdvWrVu3bNmyb7755rnnnrvtttuaNm1avHhxmSAmXViVKlW6dev2888/60SIiIjIXTjjGpBLRERERETZhbE+Uart2bNnyJAhbdq0wQV3YWeeeeaLL77466+/orY39u/f//XXXz/00EPHHnssZlxY165dx40bh9pERESUNJxiDcglIiIiIqLswlifKEWWLFnSs2dPXGRbNG7c+JFHHtm7dy/qpcnGjRv79OlTu3ZtLJahRIkSQ4cOXb9+PeoRERFRQnBmNSCXiIiIiIiyC2N9Im9t2bLl3HPPxbW1oUKFCq+++uratWtRKcMsX768d+/eWFZDmTJlHnnkEdQgIiKiOOGEakAuERERERFlF8b6RF554YUXypYti6vqoJNPPnnSpEko9glZizp16mAFgo488shvvvkGxUREROQMzqMG5BIRERERUXZhrE/ksu3bt/fo0QMX00FVq1YdM2YMiv3pwIEDffv2LVmyJFYp+DXXYcOG8QurREREDuEMakCuL8jScuDAgQMHJwMRERE73IlctGLFirZt2+IyOuiyyy7bsmULirPCvHnz6tevj9ULuuaaaw4cOIBiIiIiigAnTgNyfcHal8SBAwcOHKIMRERE7HAncsWuXbvOPPNMXEAHAkWLFr3nnntQlo3Wrl3buXNnrG3QgAEDeLc7ERFRFDhlGpDrC9a+JA4cOHDgEGUgIiJihztRkvLz82+66SZcOgfdf//9OdL1vG3btrPOOgurHQjk5eV9+OGHKCMiIqLCcL40INcXrH1JHDhw4MAhykBERMQOd6JkzJgxo1KlSrhuDgQuuuii/fv3oyxnLFq06PDDD8cmCASOPvro1atXo4yIiIgMOFMakOsL1r4kcyAiynEhraIORERE7HAnSszu3bsvuOACXDEHApUrV547dy7KctLo0aPz8vKwOQKBV199FQVEREQUhHOkAbm+YO1LMgciohwX0irqQERExA53ogQsX768WrVquFwOBPr164eC3LZ9+/YWLVpgowQCJ510EgqIiIiIHe5ERFkmpFXUgYiIiB3uRPH64osvcKEc/DjqlClTUEBBDz/8MLZOINCkSZN169ahgIiIKLfh7GhAri9Y+5LMgYhSbu/evTt27NiyZcuiRYs++uijJ554YuDAgQ888MA//vGPzp07d7E499xzH3nkESl9+umn5fpl+fLlW7dulXH37duHaVHyQlpFHYiIiNjhThSX4cOH4yo5+BqZNWvWoIAsxowZU7RoUWymQGDx4sUoICIiymE4LxqQ6wvWviRzICIvLVu27M0337z99ts7duxYvXp1NBzuqV+//tlnn92vX7933nln48aNmCvFJaRV1IGIiIgd7kTOffDBB4hPA4HWrVtv2rQJBWTz3XffYUsFAlWqVPnjjz9QQERElKtwXjQg1xesfUnmQETu2b17988///zggw/WqFEDbUQ45cuXr169eqNGjVq0aHHDDTcMGjTopZdeev/992fNmjWzsBkzZowZM2bYsGFS59JLL23VqlXDhg1l3HLlymFa4dSvX3/IkCG//fbb3r17sWQURUirqAMRERE73Ikc+uSTTxCHBgK1a9dOb2/7ihUrfv3116lTp44fP/71119/4403Pv300wkTJkhwfODAAVRKtx9++MH8jGrdunWXLVuGAiIiopyk50QTcn3B2pdkDkSUNInkTznllFKlSqFdKKxLly6jRo2SoPqvv/7CCC7Jz8+X4Pzrr79+5pln2rdvj/kVVrZs2TPPPPPjjz/GOGQX0irqQERExA53IiemT59eqVIlDT0rVKiwY8cOFKTE3r17f/rppzPOOENi8SJFiuhiRFe8ePFWrVpNmzYNk0iTCRMmlC5dWhfp2GOP3b9/PwqIiIhyj54QTcj1BWtfkjkQUULmzJlz9dVXoyGwqFy58hVXXPHtt9+iXjpI9H7llVdWq1YNy2TRp0+fRYsWoR6pkFZRByIiIna4E8W0adOmtm3baqBZpkyZn3/+GQXe+/LLL2vWrKmzTtjDDz+MyaXDgAEDsByBwHXXXYdcIiKi3IPToQG5vmDtSzIHIorHjBkzWrZsid+/oVSpUnfeeefSpUvz8/NRLzPI8shSybIVK1YMyxpUtGjR9u3bL1++HPVyXEirqAMRERE73Iliuu222zS+LFKkyFNPPYVc761atUrna1W3bt2rr7567NixS5Ys0bfHbNiwYdq0aSNGjOjevTsq2dSvX3/Pnj062dTr2LGjLkZeXt7rr7+OXCIiohyjZ0MTcn3B2pdkDkTkwNq1a2+44Qb87A1t27Z95513UMMPRo4ceeSRR2LpDffff//u3btRIzeFtIo6EBERscOdKLolS5Ygogx+KBW5KSHRuc43Ly/vgQce2LBhAwqimjlzpvn2G6uWLVuiRsr99ddfZcqU0cU44YQTNm/ejAIiIqJcoqdCE3J9wdqXZA5EFNU333xTtmxZ/OCD6tat+91336HYh/Lz8996662qVatifYKaNGkyd+5c1Mg1Ia2iDkREROxwJ4quc+fOiCUDgQkTJiA3VRJ7tnTnzp32PvfSpUun65NHshb33HMPliMQePvtt1FARESUS3AiNCDXF6x9SeZARBE888wz5neM1JAhQ/bu3Yti/9u6dWufPn2wbkGVK1fOxSA/pFXUgYiIiB3uRFHMmDGjQoUKGkSeeOKJyPWDu+66SxfbVLRo0ZEjR6I45ebMmXPYYYfpkhx//PG7du1CARERUc7Q86AJub5g7UsyByKyGTJkCH7hQbVq1friiy9Qlo1GjRpVvnx5rG3wlfSjR49GWS4IaRV1ICIiYoc7URRPP/00gsdAwF8vH7/99tux3IYqVarMnz8fxelw6qmnYlECgRUrViCXiIgoZ+AsaECuL1j7ksyBiCw+++wza9dz06ZN582bh7JsN3nyZLnWwJoH73afNm0ayrJbSKuoAxERETvciSLZt29ft27dNGosXbr0ggULUJDxNm/eXLx4cV1y09FHH43iNHnqqaewKIHAsGHDkEtERJQzcBY0INcXrH1J5kBEQcuXL2/YsCF+2IHAoYceOmnSJJTlkrfeesv6Ip0TTzxxx44dKMtWIa2iDkREROxwJ4pEQudmzZppvNixY8etW7eiILNNmTLlkEMO0cU2HXXUUShOn4ULF+bl5enynH322cglIiLKGXoSNCHXF6x9SeZARMF3yBQtWhS/6kDgtddeQ0FOys/P79u3L7ZF8J2Wr776KsqyUkirqAMRERE73Iki+fXXX81HIy+77LJ9+/ahIFMNGzasWrVqusBWd9555549e1ApfbZt21ayZEldpBYtWiCXiIgoZ+hJ0IRcX7D2JZkDUW5bs2ZNjRo18HsOPk66evVqlOW2P//80/x6k2jfvv2mTZtQlmVCWkUdiIiI2OFOFMn06dPN21XuuOMO5KbJqlWrLr/88tNPP/1MQ8eOHWvWrGm/md10xBFHvPXWWxg/M5QrV06XrWLFisgiIiLKGXoSNCHXF6x9SeZAlMO+/PLLChUq4MccCLz88ssoIMN9991XpEgR3T6VKlVatmwZCrJJSKuoAxERETvciSL5/vvvNUAUffr0QW6a3HTTTViUWGrUqHHhhRc+//zzq1atyoQb261q166tCynXJwcOHEAuERFRbtCToAm5vmDtSzIHolw1YsQI/IyDXcly1YACKmzs2LHYTEHjx49HQdYIaRV1ICIiYoc7USSzZ88278i+8sor9+/fj4J0mDp1qi5JvMqWLfvggw9iKmklG9B8pUyjRo2QS0RElDP0JGhCri9Y+5LMgSgnPfbYY/gNBwK1a9feuHEjCiicP//889BDD9XNVapUqTFjxqAgO4S0ijoQERGxw50okkWLFtWvX1+jw7PPPjvzP7L/119/Pfroo61bt9ZlDlGnTp2VK1eiajqsWbOmRIkSujCdOnVCLhERUc7Qk6AJub5g7UsyB6Lc8/jjj5uvSWncuPH27dtRQJEtXLiwYcOGutHy8vImT56MgiwQ0irqQERExA53oki2bNly6qmnamhYp06d5cuXo8APxo4da/Zum4oXL/7xxx+jRsqNGTPGvD65++67kUtERJQz9CRoQq4vWPuSzIEox3zwwQf49QYCLVq0WLduHQq8Jxcmt9xyS/PmzWvUqFE9UVWrVj3ttNPmzZuHiabQsmXLqlWrhm0XCMyePRsFfhfSKupARETEDneiKPr06YOoMBDw3b0YO3fubNWqFZbeIl0fLOrRoweWIBCYNWsWcomC1q5d++OPP3777bdff/31qFGjXn311dcM8v+xY8f+8MMPUvrrr7/u3r0b4xAR+Q3Oggbk+oK1L8kciHLJqlWrihUrpj/eGjVqLFiwAAUpceWVV+qsk3fuuedioqk1b948LEEgULNmzSx5OCCkVdSBiIiIHe5EUYwfP75MmTIaF954443I9Y+VK1fqwlsNHDgQxSm0fv36Zs2a6QLUqVOHj9/moDVr1vzyyy8vv/zy+eefX758eT0YXFGvXr1bb731o48++v333zdt2oT5ERFlHjRbBuT6grUvyRyIcknjxo3x0w0EPvnkE+SmynnnnYd5J+2WW27BRFNu1KhRWIhAQALC9H4iyx0hraIORERE7HAnikKiwCZNmmhQWLRoUT9+E0kX3uree+9FWQr93//9n/k+mYcffjg/Px8FlL1+++23O+64o1mzZva3G9m1aNFCriSvueaau+++e9iwYS9YvPjii88888xNN9109dVXn3XWWdbnkSOpUqXKCSec8Oyzz2b+pxeIKKegkTIg1xesfUnmQJQz+vbti99tIPDggw8iN4XsHe5t27ZFmX/s27fvqquuwgoEAm+//TYK/CukVdSBiIiIHe5E0Y0dOxYhYSAgASJyfWLKlClYdIsPPvgAxamyadOmo48+WufeoEGDjz/+eO3atSijLLJjx44333zz9NNP130domrVqueff/7AgQMnTJjg7n3oixcvlgu22267rX379kWLFsX8Crv++usnTZqEEYiI0gRNkgG5vmDtSzIHotwgkYb5zc/atWuvXr0aBSmUHR3uYtq0aVWqVDFXYevWrSjwqZBWUQciIiJ2uBPFZHYWly9f/ptvvkGu9zZt2nTgwAEk4jd//vzq1avrkps6duyYzDQT89xzz+ncixQpcvbZZ7ds2VKTIi8vr06dOrfeeuukSZPWrFmzc+dOjEP+MXfu3JNOOsl8gsEkh99dd931559/pv554b1793733XdXXHFFxYoVsTQGOeR69+6dyq+cERGZ0BIZkOsL1r4kcyDKAfn5+ffffz9+tIHA4MGDUZBaWdPhLi666CKsQyDwyiuvINenQlpFHYiIiNjhThTTnDlzzDe5H3PMManpqnviiSd0jhUrVrzssst++eUXFDiwZs2af/zjHzq6VfPmzVPfzzhz5kzMPhBo3Ljxk08+iURkxYsXb9Kkydlnny2XNDI6JkQZZvTo0UceeST2maFOnTrDhw//888/USkzzJs375FHHilZsiSW0nDGGWcsXrwYlYiIvIfWx4BcX7D2JZkDUQ5Yu3ZtixYt9DfboEGD33//HQWplU0d7jNmzDA/P3vcccch16dCWkUdiIiI2OFO5MTzzz9vvqri2muvRa6Xnn76aZ1diCJFinTs2PHKK6+8//77X3rppXcML7zwQvfu3StXrox6NnfccQcmnUKbN2+WKxNdgLy8vPnz53fu3Pmwww7TnHjJup900kmPPfbYxIkTFy1ahHlQav32229nnXUWdonh3HPPnTdvHmpktrfeeqt169ZYbsPAgQP5IV8iSgE0Ogbk+oK1L8kciHLAnDlz8IsN/qkeuSmXTR3uom7duroWJUqUWLVqFXL9KKRV1IGIiIgd7kQOXXLJJRoXittuuw25ntm9e3eHDh0wvyQUL178nnvu2bt3L6abQhs2bDjmmGOwHIHA+++/j4Kg/Pz8bdu2SYT98ssvn3322eXLl8/Ly0PVeJQpU6Z69epyEfKf//xn3bp1e/bswQzIbSNHjgz5/KnsuPXr16PYb6ZMmVK7dm2sSVD9+vXnzp2LYiIiD6C5MSDXF6x9SeZAlAMeeeQR/cEWKVIkXe+TEVnW4X7ffffpWshWHT58OHL9KKRV1IGIiIgd7kTOnXnmmWZo+OCDDyLXY9u2bXvvvfcuueSS+vXr69xjKlWq1KWXXvrBBx+k96bdZs2a6fIUL178xRdfRK4Dv/32m6zyAw88cPzxx+sUElC3bt0uXbrcf//9EyZM2LVrFyZN8duzZ8/NN9+MzRok2/bLL79Esc/l5+c/8cQT1j8kVKhQYfTo0SgmInIVGhoDcn3B2pdkDkQ5wHzheOnSpb///nvkppy9w13iZJT50Oeff47VCARuuukm5PpRSKuoAxERETvciZzbtWuX9SM/aXlJiy9s3br1iCOOwGYKBB555BEUJGfatGkPP/zwKaec0rBhw+LFi2PqcZJx77rrrgkTJvz22287duzApCmcvXv3/vOf/8SGC+rYseOWLVtQnF0+/fRT60eGS5Qo8eabb6KMiMglaGIMyPUFa1+SORDlgLZt2+oPtly5cmn89Iu9w92JYsWKderU6d13312zZg0mlBnmzZuHRQwEzjnnHOT6UUirqAMRERE73Inisnfv3gsvvBDhYfAbqiggw6JFiypUqIANFAh42mu5devWpUuXfvzxxzfccEPNmjUxyziVKlWqVq1a7du3f+yxx/zyIvIUePbZZ83vFogePXrkwt8n5s6d27BhQ6xzIHDooYdOnToVZURESUPjYkCuL1j7ksyBKAfUqFFDf7ASFaTxocmrrrpKFyMZXbp0WbFiBaaYVrIY5ndTfX2rfmirqAMRERE73IkSMGTIEA0QRe3atZcuXYqCnPf2229juwQfvE1XZ+WaNWs+/vjjgQMHynVFlSpVsEBxkuU/9dRT+/XrN3r06DTe0JR606ZNk3XHVgheBWXaXVFe+/LLL61/NDrhhBN2796NMiKiJKBZMSDXF6x9SeZAlAPMlzqWL19+27ZtyE25RYsWnXnmmSeeeGL79u07duzYvXv3q6+++rHHHns06OGHH5acCy+88JRTTmncuHH0J0FbtWqV9u+ULlu2DEsTCJx00knI9aOQVlEHIiIidrgTJeZ///tfqVKlECcGAvfffz8KctWOHTtOPfVUbI7gm1u2bt2KsoyxfPnyESNGdOnSpW7duuXKlcOyxkkuty699NLRo0cvWLBg06ZNmHS2uOaaa7CewTVduHAhCnKP9e9qYuTIkSggIkoUGhQDcn3B2pdkDkQ54LTTTtMfrISO/oqLVqxYccMNN+jChyhevHh6PxQ/bdo0LEogcPHFFyPXj0JaRR2IiIjY4U6UsH379p1//vkIFQOBqlWr/vzzzyjLMSNHjixSpAg2RCDw9NNPoyDjyU5ctGjR5MmTH3rooeOOOw4rEL9atWqdcMIJffr0+eyzzw4cOICp+8rs2bOt3w698cYb9+/fj7JctXHjxiOPPBJbJBA4/fTT03hrGxFlAbQmBuT6grUvyRyIcoD5LpdSpUpJxIhcX+nZs6euglXJkiXTeOPIu+++i+UIBHr37o1cPwppFXUgIiJihztRkqZOnWq9V7pNmzZpf0gzlaZMmVK5cmWsfCDQqFGjzZs3o8znvv7660cffbRbt27WD8DGq3nz5rfeeuubb745e/bsTO6/fv311/Py8nSZy5Qpk96bnjLNE088Yf49qUKFCmvXrkUBEVGctCUxIdcXrH1J5kCUA0aOHIlfbCDQr18/5PqN9RFG0x133IHilDP/jFGsWLGPPvoIuX4U0irqQERExA53ouR9/fXXIe8n6d69ewa+UMVdP//8s/kVKVG5cmXZDijLUnv37t22bduHH34oFwl169YtW7as9b5+h4oXL16mTJmTTz558ODB8+bN27JlS9o74u+8804sXCDQunXrXHtjuxNfffWVua9l902YMAEFRETx0GbEhFxfsPYlmQNRDli8eLH5COBJJ53k0+f/rK9wMXXq1AnFKSdRtC5DXl6eBNjI9aOQVlEHIiIidrgTJSw/P//mm2/WYDGsE088ccmSJaidRd5///2QL5GOHj0aZTnpr7/+mjx58r///e9zzz3XvH6IV+XKleWAuf766994441UPiRhvePpzDPPRC7Z/Pnnn/Xq1dMNJRfeP/zwAwqIiBzTNsSEXF+w9iWZA1EO2Lx5c4cOHfQ3W6lSpe+//x4FvjJr1ixdBatzzjkHxan10UcfmfcxdO3aFbk+FdIq6kBERMQOd6IETJ069aijjtIwMYSEjxKUFy9eHOng/bDvvPMOxvSzLVu29O7dG2sVVLly5Q8++ADFZLNgwYJhw4ZdcMEFLVu2TKYj/qqrrho1atT06dPXr1+PSbukb9++mE3wsQzkUgTLly+vU6cOtlcgINeuKCAicgbNhwG5vmDtSzIHotzwyiuv4EcbCPTq1cuPN7l//PHHWAGLhx56CMWpZf1s0o8//ohcnwppFXUgIiJihzuRcxJeS2Bqvuo6RN26db/77jtUDd4GXqxYMZQFtWzZcuHChSj2j/z8/NGjR1etWhWrEXTEEUfMnj0bNcixPXv2rFu37ocffrjvvvuaNWsmx1ICL6WR46pixYqNGzfu06fPN998s3fvXtlHmEE8Ro0ahSkGe9tT9q3XrVu3NmzYsESJErLuyZCJLF68GBNNlZ07d1aoUEE3mvyHL7snorho62FCri9Y+5LMgSg3bNu27dhjj9WfbfHixRcsWIACn9i1a9dhhx2my28qU6ZMWl6A+e6775YsWVKX4YorrvD3+2RESKuoAxERETvciZz45ZdfzDjb7sYbb9y5cyeqFrZ69Wr7R4pat2799ttvo0am2rdv37/+9a/q1atjoYNKlCgxZMgQ1CD37Nix45tvvhk2bJhceDRs2BCbO05FihRp1apVz549n3/++Z9//hmTjmD+/PkYLRBo0qSJLAAKvPfAAw9gxklLy7MjP/30k/m3tPbt22/ZsgUFRESxaNNhQq4vWPuSzIEoZ4waNco8+7dr1w65fjBnzpyQ+2ZUWoIouTJq2bKlLkDp0qW/+uorFPhXSKuoAxERETvciaLYt2/fiy++qEGhXc2aNcePH4+qscyePfuUU04pYruduUePHtOnT8+Qmzs2btw4bty4Vq1aYeEM5cuXv/7667dt24Z6lCq7du2Sy6FrrrmmefPmlStXxv6IU9GiRc8444yhQ4fOmDFj5cqVMtn8/PxatWqZpSn+0sC9996rs7aSi9h4NWnS5M8//8REU+vpp582f8t33XVXYk8YEFEO0nbDhFxfsPYlmQNRLrn88svx0w0EevfujVyPLVy4UG9/adOmzZNPPrlo0SIUODBq1KjDDz9cF9iqZMmSn376KSql1rXXXqvLIHHUAw88gFxfC2kVdSAiImKHO1FYa9asad++vUaEdhdddNG6detQNU4rV6687777MCGLMmXKtGzZ8tFHH3X9Pd3RzZ0796abbmrcuDGWw6JSpUpvvPEG+9kzjRycc+bMef75588++2zsqiQ899xzmG6q2DvcmzVrhjKfyM/PN7+fJubPn48CIqKo0GoYkOsL1r4kcyDKJatWrbJ+ykXieRR4aebMmeXKlcMsLYoUKXL44YdfeOGFvXv3vi1I/nPllVc2bNjQfn+P1eWXX45Jp9yQIUOwEIHASSedhFy/C2kVdSAiImKHO1GIESNGlClTBsFgYZUqVRozZgzquWH+/Pl9+/a1xu5WMrvOnTs/+OCD77zzzm+//ZbkK7Y3b978008/jRo16o477jjhhBMwD5tjjz1WouG0vNKRkjR37lw5eq+77rq2bdsWLVoUezSqEiVK/P777xg/Vewd7kceeWTK3iDvlh9++AFLHwh06tQJuUREUaHVMCDXF6x9SeZAlAMmTpxo/Su71WOPPYZKntmxY4eEGZhfEipWrPjaa6+lMdx66aWXzOi0Xr16kd7G6T8hraIORERE7HAnUmvXru3SpYtGgXann366VEBVb0gEPHPmzMsvv7xGjRrFCn9t1a5IkSISsxY3lC9f/vjjjz/66KORLl5cpuCky7V06dKNGzfu37//6tWr+VqMrLR///6pU6fed999LVu2rFKlihwb2PdBDz74IOqlUHZ0uIt//OMfuvylSpWaMGECcomIItNGw4RcX7D2JZkDUZaaN2/enXfeGf1WcfWf//wH43hs69atL7zwwplnntmsWTMnrxmsVatW27Zt77nnnlWrVmES6TN27FgsViBQt27d5cuXoyALhLSKOhAREbHDneiNN96oVq0aYsDCihUrNmLECNRLufXr18+cOVMi1Jtuuqlp06alSpXCYiVE1lHC7nvvvfezzz777bffUvmRTMoo5reqqlevPmfOHOSmUNZ0uH/++edYgUDg1ltvRS4RUWRoMgzI9QVrX5I5EGWRffv2DR48uF69evh9RlC0aNELLrgAieDFwvvvv49JpNz+/fslgtqyZcuGDRu2bt0q/8/AgGr48OHYWIHAYYcdtmDBAhRkh5BWUQciIiJ2uFPOWrNmzdVXX43oz+bEE0/8448/UNUPZHX4snWKacmSJTjEA4HOnTsjN7WypsN95cqV5i1mJ5xwglzuooCIKAJtMUzI9QVrX5I5EPnfRx991LFjR/wmI5Ooafz48RinoGDRokXW+3UefvhhPipqJ9uke/fu2EaBQJ06dbLwaiWkVdSBiIiIHe6Ug7788stIt7Tn5eX961//2r9/P6oSZZennnoKx3og8PLLLyM3tbKmw33Pnj2XXXaZrkKFChV++uknFBARRaAthgm5vmDtSzIHIh/Kz89fsmRJ9+7dYz48Wrt27VdeeSXSU6Hbt29v06YNqgYCp5xyyr59+1BGwW/Mtm7dGlsnELj44oslcEJZNglpFXUgIiJihzvlDgnybr75ZgR9Ni1atJg9ezaqEmWpW265BUd8IPDtt98iN7XsHe716tUbNWrU0KFD+/Tpc43h8ccff+aZZwYPHjx+/PiNGzdi5Azz0EMPYR0CgS+++AK5REQRoL0wINcXrH1J5kDkHxs2bBgwYEDt2rXx84ugdOnSd999t/NPyt95550YMxAoXrz422+/jYLc9vzzz2OjBA0ZMgQF2SekVdSBiIiIHe6UC6ZPn96wYUNEfIVJZNy3b1/UI8p255xzDg79QGDJkiXITa3+/ftjCRJy0003Zc7fxl544QUsViDw4YcfIpeIKAK0Fwbk+oK1L8kciDLbtm3b5OzctGlT/OQiKFWqVKdOnRJ+Uu23336rU6cOphUItGnTZv369SjLPb///nuzZs2wLQKBRo0abdq0CWVZKaRV1IH8b9euXWvXrl22bNmcOXMmTpw4ePBguQYR3bt3b9269TEWrVq16ty5880333zjjTcOGDDgvffemzVrllxnrVq1auvWrZgckRt2794t5xc5LH/99ddJkyYNHTr0lltukQPviiuuCDksJXnaaadJ6Q033HDvvfeOHTv2xx9/XLx48cqVK3lYphLPB5TN7rnnnry8PER8hdWsWXPmzJmoR5Qb5Oyrx3+RIkU2bNiA3NR6+eWXdRmSUaxYsX79+mGK6fPWW29hgQKBYcOGIZeIKAK0Fwbk+oK1L8kciDLSjBkzunbtGvONMU2aNHnnnXfc+gTLE088gekGXXnllXv37kVZbti5c+fxxx+P9Q/e1fTSSy+hLIuFtIo6kN989tlnd9999ymnnNKgQQM5dHEQu6dWrVry6+jZs+frr7++e/duzJUoqm+//XbAgAGdOnVq3LhxzDNaAqpXr37sscdedtllI0aMyPK/jKYPzweUhX755ZfjjjsODYnNHXfcIREhqhLlkvPPPx8/g0Dgt99+Q246bNy4cfPmzZHeiyrkAvinn3569dVXe/ToEenPZmLSpEkYIR2ee+45LEcg8N///he5REQRoL0wINcXrH1J5kCUMf7444+BAwfG7CmrU6dOv379PLq/T64vLrjgAswpaMCAAbnwaSjZnhKtYZ2DbrjhBpRlvZBWUQfKbEuXLpVLjDPPPBPHazglSpSoX79+q1atpNpll1321FNPvfPOOx999JFcnvz5559LLGRq8+fPHz9+/AcffDBs2LCbb7753HPPbdu27RFHHFGhQgVMLpwmTZoMHjx4+vTpWCzKbatWrRo9enTISSRE0aJF69ate/TRR3fq1Kl79+5PPPGEjPLhhx9OmzbNfljKafHTTz+Vw3LkyJF33HHH+eef365du6ZNm1apUgWTC6dWrVoPPfTQt99+68dPrGUgng8oe0hEO2TIEDQVNrVr154wYQKqEuWk3r174/cQCHz22WfI9YmLL74Yi25RsmTJ999/HzVS7oEHHtDFkOhnypQpyCUiikBbDBNyfcHal2QOROn2yiuvNGjQAL+oCIoUKdK9e/d58+ZhHI+tX7/e+k4Vcd5552Xs12iStHz5cutd7eL000+PcjtFFgppFXWgzPPXX3/dcMMN1atXx5FaWK1atSSqnzVr1qpVq1y/M2///v3SLCxYsOC5556T34u0SJirxSGHHNKhQ4d0fWGL0kVODX379o30cZFKlSrJxfsPP/ywYsWK7du3YxyXHDhwQOa+aNGiV199tWPHjsWKFcNcLUqXLn3cccd98sknGIfix/MBZYOlS5eecMIJaBhsrrzyynS9PYMoo1hf5+LHD1h9+umnWHqLNm3arF27FjVSaNeuXeYTA9WqVZszZw4KiIgi0BbDhFxfsPYlmQNROkyYMOG8887DryiyDh06jB49GuOk3Pr167t27YpFCapTp864ceNQ7H8vvfRSyN271113Xa69ReegkFZRB8oYr732WuPGjXGMWpx44onDhg1L71/CJk6ceO2115YrVw7LZChZsuS99967evVq1KOs8+6778oFLPa3xdFHHy1X6CtWrEC9dJg8efIdd9xRtWpVLJPFzTffvHDhQtQjZ3g+IH8bMWJEpKdHq1ev/tZbb6EeERUUrF27Fj+PYKCJXP/Iz8+XyzmsgMV3332HGikkwVDZsmV1AU4//XS+kJGIYtIWw4RcX7D2JZkDUaosX778xhtvLFmyJH48EVStWnXw4MG7du3CaOl24MCB++67r0SJEli+oBNOOGHRokWo4SsShk2dOjWk+7J06dJPP/20FKFSrglpFXWgtJKY/F//+ldIc1G0aNGWLVt+9NFHGfhnIfn5rFy5smfPnvJrwuIGyTL/4x//yNbnY3LNvn37hg8ffsghh2DvGqRFff311/fs2YN6mWTDhg19+vQJ+ZtQkSJF2rVrJydlVKKoeD4gX1q3bl2nTp3wo7c5/fTTeWYispMzfdu2bfVnUqtWrT/++AMF/iEXdbr8Vp9//jmKU+jdd9/F7AOBBx54ALlERJGhyTAg1xesfUnmQOSlnTt3Pvnkk02bNsUPJgK5+L/tttt+/vlnjJaRZs+e3bFjRyyxQUKyd955BzUy20svvXTkkUdiuQ0XX3zxkiVLUCNnhbSKOlCaTJgwwX6g3n777T76E9f27dtHjBhRo0YNLH1QhQoVpDFEDfKb77//3v59wZ49e/ro8ej9+/ePGTPmiCOOwNIHlShR4u6770YNioDnA/KZ0aNHV6tWDb/ywvLy8l599VXUI6Jwhg0bhh9MIDBo0CDk+seAAQOw9IaSJUvOnDkTxSnUokULXYBDDjlkxowZyCUiikwbDRNyfcHal2QORG7btWvXpEmTjj32WPxIIpCYv3379l988QVG84+JEyceffTRWA2LK664QmKJzLnJcceOHZMnTz7rrLOwfBYnn3zy999/j3oU0irqQKkl7Ubfvn1xgAYVK1ZMflN+f/x08ODBFStWxCoFdezY8c8//0QxZbb9+/fbbxTr0qWL328MHTVqVM2aNbE+QXJS+/XXX1FMhfF8QP6wfv36kM/fW0nM7dNnM4lS7K+//jJvFqtfv356XxIXr3Xr1rVq1UoX3nTCCSekPnCx3t5+6aWXIpeIKCq0Ggbk+oK1L8kciFwyb968iy++uHz58vhtRNCgQYNXX301O77MJKt8+eWXY8UsypYt265du8cff3zlypWomioLFy4cMGDAMcccE/IOHNWnT5+lS5eiKplCWkUdKFVWrVp15pln4hgNksucDH/eJV6rV6+++uqrsXpB9erV++qrr1BMmWfbtm1yeYi9FVSjRo2vv/4axVlh8+bNd911F1YvqHLlyu+99x6KycDzAWW6iRMnhjxUZSpWrNhzzz23f/9+VCUiB6x/bH/kkUeQ6wennnoqltuQl5f37rvvojhV9uzZ07JlSyxBIMBvMhORQ2g1DMj1BWtfkjkQJeHPP/8cPHhwpUqV8HuIoFq1arfcckt2vy7222+/veyyy0JuZTWVKVOmc+fOErB99NFH8+fP37lzJ0ZL1ObNm+fOnfvhhx8OGDDAHlmZ6tSpc+21186ePRujUVghraIO5L1NmzaddtppOFiDLrjgguR/HZns0UcflQsfrG0gUKVKlalTp6KMMoMcgd27d8ceCurQoUN2f/92xIgR1hfTly1bVk5VKCN2uFPG2rVr180334wfrk2bNm1++eUXVCWieBw4cMB6n3jKvjj61ltvSQiS2OtKn3jiiSJFimCJLeRyETVSJT8/3/rU6osvvogCIqJY0HAYkOsL1r4kc8hK+flymizYu7dg9+6CmTML3nijYNCggiefzL/55vzzzy+46CJzyO/eveC++wqeeurg8MknBYsWHRxl376Do1ME+/fvf/vtt4866qiw53RT0aJFu3Tp8vPPP+fgXTUbNmz49NNPu3btGvL5RLvixYuXLVu2UqVK1atXr2No3779RRdd1Lp1a03Wrl27WrVqlStXlqlJfYwZjuwRmdqVV1757bff8lNYcQhpFXUgL0mzcOONN+LADerVq1dmfnPSC2+88Ya1/WzevDkf9M8Q//rXv6y75sILL8zuvwBZyWnL+m3VWrVqzZo1C2W5jecDyjg//PBD/fr18WMtLC8v75577kE9IkrUli1bzG/3H3bYYatWrUKBZ/bt2xfyoRX5OV9wwQWjR4+W8/GSJUvWrl27Jkj+s3z58p9++umtt94699xzUdtGppaWlxhKPIElCATOP//8vXv3ooCIKBa0HQbk+oK1L8kcssD06fkvvFBw7bUFbdqErl3SQ36lSvmdOhVI4Dp6dMGyZZhjTpoyZUrI8/VhHXfcca+99lp+fj5Go6DVq1ePHz/+8ccfv+SSS+QSKWZHfExlypSRIOryyy9/5plnJk+ezAf1kmL74R8cyDNydYDjOOjMM8/ctGkTynJJSN9uz549UUDp8Pnnn1sfPmjdunV2P5UVyciRI63boXPnzijIYTwfUKaQ8Pree++NdPNFo0aNpk+fjqpElLQvvvgCv67gJa7Xl1sHDhw444wzML/kHHPMMb///jumm1oSTmEhgi/j27JlCwqIiBxA82FAri9Y+5LMwXc2by74/vv8iy7KL1MmdF3MIS+voHz5gmrVCurXL+jQoeCOO/Kfeabg3/8u+Prrgu++K/j2278HSb7/fsHgwQVDhuRfeGF+q1YFtWoVVKlSEGXiRYoUHHZYwaOPFixYUJDt92OuWrXq7rvvjtk7XLVqVYn/eT5NjFw9SXwlVqxYgQ1qIVt13759WgEjkOtCfuM6kAe2bt3avn17HNzBl02l/jsHmebss8/G5ggEypcv78fvSPvd3r17L7zwQuyD4AtV5syZg7Jcde2112JzBJ/Eevvtt1GQk3g+oPT7+eefW7RogR+lzS233CLBIqoSkXuGDx9u/omrbdu2yPXS7Nmz+/bta//waUy1atW64447fvzxR0woHb755psyZcro8hxyyCHsHSCieGkDYkKuL1j7kszBF3buPPhOmFatQhc+OORXrVpw220F772XP3Nmgeut+ooV+VOmFLz4YsF554XMF0PJkvlnnVWQ8nejeWro0KHWz5xEct11102bNg3jUNLWrFmDLWuxY8cOFJN3Qn7UOpDbPvzwQxzWQffffz8fhVFffPGF9Q3at9xyC//AljI//PBDsWLFsOkDgauvvpqPPqu5c+dWq1YN2yX4UHjuvF0nBM8HlDZ79ux5+OGH8Su0qV69epZ9ypkoA7300kv4yQUCTZo0Scu5UGYqV91i1KhRzz777BtvvKHJjHqF6DfffGM+Ile+fPnffvsNBUREjmkbYkKuL1j7kswhg+VLDHniiaELLEOzZvkPPFCwdCnqpVz+pEkFl11WUL166IIFAvk33VSwcCHq+ceBAwemTJnSuXNnHNaRHX/88Tl+p5t32OGeNrYf8sGBXHX77bfjmA4EKlWqtGDBAhSQwfoYcfPmzXO2czOVBg8eXLRoUd3mJUuWTO9tYZnpmmuu0e0jDjvssK1bt6Igl/B8QGmwZMmSY489Fj8+m2uvvXbdunWoSkQee+ONN/DbCwQqVqw4f/58FJDh6aefxgYKBKpUqbJ48WIUEBHFA+2IAbm+YO1LMocM9PrrBfXqhS5n/fr5o0YVrFmDOhkjf+HCgvvuy8/LC13gE07Iz/hz8cqVKy+77LJKlSrhaI5AKrz88surV6/GaOQNdrinTciPVwdyyZYtW7p06YIDOhDo0KHDrl27UEaFWW9krFWr1ty5c1FAbtu7d6/1rSlHH3302rVrUUaFjRw5Epsp+ID4V199hYKcwfMBpdRzzz1n/ZCCVfXq1ceOHYt6RJRC06ZNs75l9f3330dBztu3b9/ll1+O7RIItGnThs9pElHC0JQYkOsL1r4kc8gcv/5a0KVLyOLln332wdes+0T+a68dfAt84VUouPfegkzqXdqwYcMzzzzToEEDHMERlCtX7sYbb2R3Tyqxwz1tQn6zOpBLrC9tv+GGG5BLEYwbN868oKtcuTLvEPLIBRdcoBtZdOnShW83im769OmHHnqobi4JD77//nsU5AaeDygV/vrrr9NPP11/ZnbnnHMO/ypIlF5bt26tV68efpOBgAS4mzdvRlmu+vXXX0uUKIEtEgjcfvvtKCAiSghaEwNyfcHal2QOGSD/zTcLSpa0LlX+iScWLFmCYt+R6/Zx4wqqVi20Rs2aFaTvI2x79+6dNGnS0UcfbX70JaxixYq1a9du6tSpe7L9Y7CZiR3uaWP5qf49kBusD8RnVG/7gQMH9HPESGeSiRMnlixZUjdaqVKl+NoA15133nm6ecU555yDXIpqxowZlStX1o0m0UJOvZqV5wPy1v/93/9VqFBBf10hypYtO3LkSNQjogzw/PPPm2+jEyNGjEBBjtm/f/9VV12FrRAMWHmnHhElD22KAbm+YO1LMoc02revoG9f68Ic/Pzp6NEozQJbthTcemuhFaxSJT+Fz5/9+OOPV199tfWvzmEdddRRw4YNY8du2rHDPW0sP9K/B0raJZdcguM4ELjrrruQm3Lffvvto48+2q1bN7O7MKwjjzzyiiuu+H/27gMsaqQNAHDoHWmKNBUbFhQUsTds2Hvvvftj773reeqpZ++eYj09e+9dRMUuNhCkSAfp7P5zm29j2AWOsrtJdr/3meeec2aSnQw7yWQ2mbl06RJsxqlHjx5BsSRzy+BzjQo0c+ZMqFmK6tOnD69+dDly5Iinpyf7p3FnZ2fyZYBkrn369Ikpm4GBQVBQECSoO7weIKUICwvr2bMn3aLk1atXD0/9CPFTcnJyjRo1oK1SVPHixTXtzS+ZxZynTZuGrwoihBQCTitSECsI7LEkJnAiI0N2JLpKFfGHD5CqfvbuFZua/jpYAwORry8kKVpERMSaNWvYU8zlyNraetSoUbGxsbAZ4gEccOcM61z0K6CiYc/73LNnTxXP2/758+f27dvDxxeclZXVhQsXYF8c2bt3L5SGorp165aZmQkJqAiuXLkCdUpRDRs2jI+PhwTukNv2ffv22djYQLGy09PT+/vvvyErD1y7dg1KJllEPT09HRLUGl4PkIKRM5GlpSW0pOy0tLQ2btyYQe6UEEL8RnqKpqam0HQpqkKFCmFhYZCmvg4ePMh+LsDDwyMxMRHSEEKoyODkIgWxgsAeS2KC6m3fLmYtMSpq3lysIatxPnggtrVlDlxcsqT4+XNIKrLdu3eT6x18KXPXq1cvTfsBXkBwwJ0zTKtkB1QEHz58YJZ8K1u2rCqXXM7MzKxYsSL90UVkbW19584d2K/KZWRk9O/fH4pCUZs2bYIEVFhxcXHMr9HFihUj31JI4MjSpUvt7Ozo8uSGbwPuWVlZ8+bNg8JJnmnThKXR8HqAFCMlJWXw4MHQeuS4u7u/efMGsiKEeOzhw4fVq1eHppudvb395cuXIZ96Ib0WOEgJR0fHwMBASEMIIQWBU4wUxAoCeyyJCar0/r3YxIT5aJGzs+j1a0jSHAcPigwNmUoQN29e6CVVHzx4kMerqAzSgd+5cydsg3gMB9w5w7RHdkBF4OrqSn+BtbW1b9++DbEqkZaWRn80jRSgTp06K1euzOOpo2/fvnXo0EFHRwe2ye7MmTOQT+Xi4uLKli0L5aAoVf5uoZZatGgBVUlRx48fh1jVIuf5JUuWQCGy09PTc3FxYX6povFtwJ1ISUlp2LAhlI+i/P39IUF94fUAFdXdu3dLlSoFjSY7fX19clKAfAghHhOJRJs3b4amK0dmqbQ5c+aox6PfX79+9fLygqOSqFGjRnBwMCQjhJBCwYlGCmIFgT2WxARVEY0bl+1z1fSn33zJyhKza0NPT/zPP5D0X+Lj48eNG1e8eHH4/uXC0NBw+fLl379/h82QEOCAO2eYxsgOqLCOHDmipaVFf4G7du0KsaqSlZVFj6uuXr26QMuNktsoUlq62GzW1tYc3jHt3LkTykFRgwYNglhUcNevXzcxMaFrsmHDhqqfa5R8ixo3bkwXgM3IyGjp0qX0d/XcuXNMIWk8HHAnzpw5wywP06ZNG4hVX3g9QIU3adIk5oooo3Llyk+fPoV8CCEeS0hI6NixIzRdOSNGjEhKSiLZnj9/LvOWpb29va/SZpJVKtJPGjVqFLOIP61Xr15xcXGQAyGElABON1IQKwjssSQmqEBgoMjSkvlEUevWYsklSdORarGyYqpF3LJlbtVCruA7duyoUqUKfOdyoaur27dvXz8/P9gMCQ0OuHOGaYbsgAolOTmZfbLifNaOgurduzcUneWEChe7lle6dGm6GEZGRvxZP1NY0tPTvb296Wokrl+/DgkqFB0d7eDgACWgqLp16x49ehTSpM6cOSOIAXfC09MTikhRZ8+ehVg1hdcDVUhJSXn8+PHWrVtHjRrVpEmTcuXK5TZOnTdyoiQXoRYtWsyePfvgwYMvX76ED1AtcizMq17yfHx8cIFBhATh1q1bub2eYm1tfeTIEciX3fLlyw0NDSGfhKWl5Zo1a0gvGXLw1du3b4cMGQKFliIn1YsXL0IOhBBSJjjvSEGsILDHkpigZKIDB0RaWvBZ5H/OnYMERJDO9pgxzN9CVKGCODKSTiH3HU+fPm3QoIHM22kytLW1q1atev78eQ1ZuEy94YA7Z6RtMFtAhUI65GZmZvS3t2fPnqmpqZAgEGfPnqULz7Zr1y5I5sK2bdugHBQ1adIkiEUF4e/vX6JECboOmzZtGhMTAwkqJBKJfH19582bFxoaClFyBDTgfvr0aSgiRXXv3h1i1RReDxSPNMI7d+4MHDiQeVciD4aGhqRhFCtWrHhOSJKpqanMZEzytLS0rK2tJ0+e/Pr1a+W9tZSWlrZ06dLcfipwdHS8ceMGZEUI8Rhpy+SCnVtb9vDwiJTetOchISFhxIgRMtd1ss+aNWteuXKFpEI+rpFjWbduHTmdQhGl7OzsNm/ejL8OIoRUCU5AUhArCOyxJCYok2jhwl8fZGcn/vIFEhDbli2/aomEx49JXFRUlPxVj+Hg4LB+/fr8XOiRgOCAO2fYDZAJqFAWLFgA312ux6kL5/jx41B6Fm6fK//48SPzy2v9+vVTCrvshyY7cOAAXYHErFmzIJZ/BDTgnpiYyBTV2dmZP+MGyoDXA8UgZ9IePXpYWlrS3xt5jRo1Wrx48ZUrV969excdHZ2ZmQlbFkR6enpoaGhAQMDJkyenTJni5uYGe5dTqlSp8ePHf/v2DbYsGnKm9vDwgF3LGTx4MCc/9CGECio8PDzHCeBo8+fPT0tLg6z5Fh8fv337dmtra9gLCzlvTJ06VfXv4pw9e7Zv377lypWDcrA0adJExesvIYQQA85EUhArCOyxJCYoz7Rpvz6lbl0xzveVBz8/sXQlVZGJiej0aRKXlJRUu3Zt+J5JXkTr169fUFAQvQVSPzjgzhnmTMUOqODi4uKYdSnJbcWTJ08gQTimTJlCl5+ho6NDbpQgmQsJCQnMdCjFixd/LPlRFuUfuTXu378/XYHGxsYcroL7nwQ04J6ZmTlw4EC6kKampuo9qwxeDwrv1atXAwYMoL8obORc1qpVq3Xr1hVoqY0ievfu3bx583J7e3T27NkhISGQtSA2btyY22OwDg4OXC3QjBAqqJMnT1pZWUHrza5kyZKKmlMlMTFxyZIl1atXh13LIeeomTNnnjhxIiAgoOiv45DbywcPHuzbt2/06NE5Dq8T2traXl5ehw8fhm0QQog7cGKSglhBYI8lMUE5ROPHMx8hcnUV44Qn/0X05Im4eHGoNCMj8fPnJJJcZOfMmXP58uWsrCw6G1JjOODOGenJKltABRccHFyhQgX6q1urVi3ylYYEgfj8+bPMcCcxf/58zt+mJXdedGHIPRHOollQ5AJat25dugJLly5N/sqQwD8CGnAntmzZAqWkqA0bNkCsOsLrQYHdu3dPfukhY2PjyZMnh4eHQyZOZWRkfPjwoXv37jLzLOvo6LRq1er9+/eQL3fkQBo0aACbyWnXrh23P9UihPKJnA0mTJiQ289mbdq0Ud5L5SkpKYGBgbNmzXJ0dMx7XizS/zMwMDAzM7O0tLSRql27dvv27cuVKwf/trExNzfPzxRb5LxXo0aNPXv2REVFFe5dIoQQUhI4T0lBrCCwx5KYoASiFSvE2tqwf09PcrMLCXwiunVLvH+/eO5c8Zw5EDZuFJ86Jfr4EXKo3uXLYn39X38anIFHw+CAO2eYRscOqODevXtnYWFBf3WbNWsmrAncY2JiKleuTBee0apVK+VN9pt/q1evhgKhoqlUqVIcj9+3E9aA+4kTJ6CUFDWHdKLUF14P8uvLly8tW7aEL4VUo0aNbt68CTn46siRI+TsACWWGjp0aI4XgNymhiAMDQ0PHjwI+RBC/Pbq1atatWpB65Wzdu1ayKdCaWlp/v7+vr6+U6dO9fDwsLGxgdIUlq2tbZs2bVasWHH27NlPnz7BxyCEEF/ByUsKYgWBPZbEBEUT3bkj1tWFnXt4iFX4qmh+vXwp1tH5VQPygcP7gtu3mWL8u4Yq0iQ44M4Zpu2zAyq4Z8+ewReXojp16gSxQvDlyxf5mxp3d/dCTNSpDHv27IEyoaKpUaMG1CkvCWvA/caNG1BKycgkxKojvB78B5FItGrVKvguSLVq1SqPBYJ5y8/Pr2bNmnAMEmZmZnQjDA8P79GjB8TKadGiReFmpEEIqd7Bgwd1dHSg9WZXtmxZbpfuyb+EhITAwED4B0IIqQU4F0tBrCCwx5KYoFg/f4odHWHPZmbiW7cgnj927vyP0XYSuC32smVMSUQjRkAk0gA44M4Zpu2zAyq4gIAAfX19+qvbvn17iOU9X19fusxsXbp0gWQe2LBhAxQLFY2bmxufX54W1oD7+fPnoZQU5ePjA7HqCK8HuUpNTWVWSKCVLFnyxo0bkCxY5DSxf/9+Y2NjOKrc6ejobN68GWd+REgQUlJSmOVH5PXq1Uu9VwBHCCH+gzOyFMQKAnssiQkKJRo0iNmzaMkSiOWPRYuY4kEh69eXifk3cDvgnpgo9vaGkmhriy9cgHik7nDAnTNM22cHVHCfPn1ycHCgv7pNmjTh/7c3KSmpdevWdIEZOjo6fFs4at68eVA4ijpy5AjEovxJTExkJgtycXGJjo6GBP4R1oD7rl27oJQUtWzZMohVR3g9yAFpSDKzx3Tu3Dk2NhaS1cWHDx/q1asHR5hdo0aN3r59C/kQQvzm5+dXvnx5aL3ZGRoabtu2DfIhhBDiFJyapSBWENhjSUxQIH9/sYEBvVtRmTIQyR/t2v06arqQly6Jz56Vifw3cP5g/vnzYmNjKEyLFv++N4A0AA64c4Zp++yACi4sLMzd3Z3+6larVo3nr9dv3ryZLipbs2bN+LbQXVZW1siRI+niGRgYnCcXCFQQSUlJzZs3pyvQwcHhzZs3kMA/whpwX7JkCV1IbW1t9R6swOtBNpmZmWPHjqX/9gT580+ZMgXS1BTpinXu3BkOWPKr7O+//w5pCCEey8jI2LRpEzRdOS4uLh85XL0NIYSQHDhBS0GsILDHkpigQJ06/drt8eMQyQeJiaLq1X+VjQQbG7Gf379JJ09mi6cDH2bCadLkV3muXIFIpNZwwJ0zTFtjB1Rw5L6mX79+9FdXR0fnCl/PXefPn7eysqLLybCwsHjy5Ank4JPw8HD2A9pfv36FBJQ/IpFo5syZdAVqaWnt3LkTEvhHQAPuKSkp9evXpwtZokSJFy9eQII6wuvBL/v27dPW1qb/8ETXrl3JVwHS1F1UVFTDhg3hyCnK1NT06dOnkIYQ4hlyB9WqVStornL+97//4ewxCCHEQ3CaloJYQWCPJTFBUZ49E9vZ0fsU1axJeqUQz7kvX0RWVr+OlxTPyUnMXGF5O+B+8yYz17yoRQuIRGoNB9w5w27+TECFsnXrVvjuUtTixYshljf8/Pzs7OygfCx79+6FHPzz5MkTKCVFtW7dGmJRQVy4cEFLS4uuw+HDh0Ms/whowP379+9QRIqqXLkyxKopvB78Ky4urnr16vA3lyxAHBMTA2ma5O3btxYWFlALkp8cUlNTIQ0hxAPXrl1zdHSEJpodabwnTpyAfAghhPgHztdSECsI7LEkJijK7t2/9jlnDkRy7s6dX6WSBJG3t5j9LA5vB9zF4l+/E+jpiZOSIBapLxxw5wzT9tkBFcrz58+ZEe1q1arx5/mhd+/eubq60gVjW8LD5UaymzhxIl1ULS2ttWvXQiwqiKCgIOYtAScnJ96+JSCgAfeVK1dCESlq6tSpEKum8HogOwPXli1bIEFTzZgxA+pC8j4XPuqOEOfS09PnzJnD/Louo169ejyf6BAhhBABZ20piBUE9lgSExQiPV3MLJdqaPjvFOQ8IPrjj1+HSYdhw8RZWZBM4/GAu3jkSCiPtrYYV8nTADjgzhmm7bMDKqyuXbvC15ei9u/fD7HcCQwMzHGhrNGjR2dkZEAmvgoLC2NuHq2srDIzMyEBFdDkyZPpaiRWrlwJsTwjlAH35ORk9jO+av9evqZfD0aMGAF/aory8PDg2zIXXHn16pW+vj7UC0Vt3LgREhBCqvX169emTZtCU5Qzb9487DwhhJBQwLlbCmIFgT2WxASFiIoSe3jADitWFAcFQTx3sqZO/XWMkiDKsSfM5wF31oKuIh8fiETqCwfcOcO0fXZAhRUSEsKMEdva2kIsF8LCwjw9PemSsPXu3Vso0w4PHDgQCs3veW/4LzY21tramq5JY2PjtLQ0SOAToQy4z549m2njK1asgFj1pbnXg8TExKpVq9J/aaJv376QgCSysrJq1qwJtUNRI0aMIDGQhhBSvlOnThUrVgxaYHaOjo64yjxCCAkOnMSlIFYQ2GNJTFCIkBCxgwPs0MPj1wzpnMjMFLFXHCVBX198/TqkyuDzgPuTJ0yRRN26QSRSXzjgzhmm7bMDKgIfHx/4BlPUmDFjIFaFEhISchxqb9OmDT9HWnP0zz//GBsb0yWvUqWK5qxNqCQrVqygK5Po2LEjxPKJIAbcHz58aGNjQxfPwcEhNDQUEtSXhl4PwsLC2PNw7dmzBxIQS1ZWFvt30U6dOkECQkhpSH9o7Nix7AWc2Vq3bq2ZK0wghJAagFO5FMQKAnssiQkK8emTSLrCp7hJE4jkREiIqFKlX0dHgpWVODAQUuXxecA9JORXkerWhUikvnDAnTNMQ2MHVARJSUm1atWiv8P6+vqqXKEqPT29Xbt29EezNWnSJDY2FjIJQXBwsIuLC114c3PzJ0+eQAIqAnIbTlepjo7OunXrIJY3zp8/Lz/g/s8//0AyD8TFxdWrV48um6Gh4alTpyBBrWni9SArK4s5ARkYGBzBmQ3zNHz4cLquiDZt2kAsQkjRXr586e7uDo0tO21t7dWrV0M+hBBCwgTndCmIFQT2WBITFOLjR7GWFuywaVOIVL3Xr/8dXmcOjaJEpUuL836Ykc8D7qGhv4pUpw5EIvWFA+6cYRoaO6CiefbsWfHixemvsYODw6dPnyBBmUQiUdmyZekPVThVzuiSlZXVokUL+nPJLSSulaoowcHBzs7OdMVaWlo+ePAAEpSPfDl37NhBf7SikEN48+YNfIBK9O3bl/5oLS2t//3vfxCr7jTuepCZmcle+EKVP5nmLS0t7ezZs02bNjU1NSUFs7a29vT0vHLlCiRzatq0aXR1ERMnTsS5ZRBSrIMHD+a2IGqpUqVIpxPyIYQQEjI4s0tBrCCwx5KYoAii4GBR8eKwQw8PcWIiJKjShQsi5qAk4d9pWNLTITU3fB5wDwhgiiTq0gUikfrCAXfOMG2fHVCR7dq1S1dXl/4m29rapv/nCbnIMjIySpYsSX+iwo0bN05lQyht27aFT6WowYMHQyxShAsXLtCDdYSRkVFYWBgkKFlycjLzfL0CLVmyBD5A+dhP8Xp7e0OsBtC468HYsWPh70xRmzZtglhOrVmzxs7ODsqU3ciRIyETp8jloVevXlAmitKQtz8QUraUlBT2WvwySKMT1tuLCCGE8gbndymIFQT2WBITFOLHD5G7O+zQxUUcHAzxKrNsmVhb+9dBUZRo/HhIyhufB9wvXmSKlN/DQUKGA+6cYdo+OyBFOHbsGHyVJU8gqeC2aP/+/a6urlWqVKmqOGRvNWvWvH37NnyGMmVlZXXr1g2qTLK+KyQgxblz5w7UL0WZmJiobMz9+PHj1apVU9SXk+zHy8vr/fv3sHdlEolEkyZNgiqjqGbNmmVkZECaBtCs68Hp06eZx0i7d++empoKCSqXlpa2ePFiQ0NDujC54cmAOxETE8P85KujoxMZGQkJCKGCe/DgQcWKFekGJYOcFnbv3g35EEIIqRE40UtBrCCwx5KYoBCkN96nD+zQ1FSsypc7RSLxqFG/DocO+V/YiccD7iIfHyiPlpZoxw6IReoLB9w5w7R9dkAKwp5Gw97ePiAgABKQHNLe2RPQ9+3bVwWvBWimCxcuQC1Lpsi/du0aJCA5IpFo6NChUFkU5eXllcjJi4zc0aDrQVJSEjlN03/p0qVLf/78GRJU6MePH7NmzaLLIIO0Vfnxd/4MuBMPHjyAYlFUgwYNIBYhlG+ZmZkrVqzQ0dGBhpRdtWrVAvNYnA0hhJDAweleCmIFgT2WxARF+fPPX/tU4QvOImagnw7m5uJTp8RRUeLIyP8OJNvevdk2pwN7DxER//4/JxwcoDx6euLoaIhE6gsH3DnDtH12QIrz999/swdJzpw5AwmIhZwBrK2toY4oatSoUZCAlOPBgweWlpZQ3RS1fft2SEAsiYmJFSpUgDqiqHbt2kGCJtGg68G6devgT01RixcvhlhVef/+va2tLXw8i729va+vb3JyMsnDLNrL4NWAO9G/f3+6YMbGxufPn4dYhNB/iY6O9vb2ppuPvIkTJ+JNEUIIqT046UtBrCCwx5KYoCCiR49+TePu5SWOi4MEpQoJEZuZ/ToWpQbVHBHjyROxri58ND4ioxlwwJ0zTDNnB6RQQUFBZmZm8LWmqOHDh2vUlBT/6ciRI0ZGRlA7FPXXX39BAlKmmJiYUqVKQaVLRpM5nD+Dh27evMn+Eei3336DBA2jKdeD+Ph4Y2Nj+o9drFgx1Z+jL168SH86rX379o8fP4Y0Kf4PuL948UJfX58uW+vWrenfCRBCebh06VKJEiXoViODxB8+fBjyIYQQUndw9peCWEFgjyUxQVGyssQtW/7a7f37EK9UcXH/PtLOfKjygpaWWLUd5qwePX59+tGjEIvUGg64c4Zpa+yAFC0lJYU9X4qlpeWLFy8gTYNlZGQ0a9YMKkUy0/3r168hDSmfSCRirwVqbGx8+fJlSNNsffr0gUqRtNabN29CgubRlOvBtm3bmGkcli1bBrEqFBsbO27cuI0bNyYlJUGUHP4PuKelpXXu3Jkum4GBAZ7QEcoN6QDNnj1bW1ubbi8ySGP/9u0bZEUIIaQZ4BogBbGCwB5LYoICXb0q1tend5tVpw5EKltYmPj338Xz54sWLixoEC9aJOrd+1dVSINo8OB/k+hsZM9Ll4q/foWPU407d8SWllCYWrXE8fEQj9QaDrhzJvsZAAJSjkuXLjEP/xGdO3fOY2hF7W3btg0qQsLHxwcSkGo9efLEysoK/gySuZejNXgmt5MnT5qYmEBdUFTPnj0hQVNpyvWgS5cu8DenKN7Oksz/AXfi999/h8JR1M6dOyEWIST18eNHcqGFRiJn9uzZIpEIsiKEENIkcCWQglhBYI8lMUGhRF5ev/a8dy/E8hkPF01NS/u1Ai0Jvr4Qj9QdDrhzhmlu7ICUhtxGjRw5Er7iFKWtrc3Jw5Tcun79OntMs0KFCpwsT4jY5s2bB38PiXHjxmnaxEevXr2ysLCA46eokiVLyk/poYE04noQEhJSqVIl+g/v6uoaz9dnPQQx4P78+XNmMibNXPcAodycOHFCfuljmqOjI+kbQT6EEEIaCS4JUhArCOyxJCYo1o8fv+Z4KV5c9P49xPMWDwfc9+1jSiLq3FmcmQnxSN3hgDtnmLbPDkjJvn37VqNGDfiiS2zZsgXS1Nr9+/dLliwJx0xRJiYmFy9ehDTEtZiYmFatWsHfRkL1K0dy4s2bN8xwK6Gjo7OP9EaQhEZcD54+fVq8eHH6zz9w4EDe/tYkiAH3rKys8uXL08UrU6YMxCKkwUQi0dChQ3ObPYZcd2NjYyErQgghDQYXBimIFQT2WBITFE10+vS/M57TO2/TRsVTnxcY3wbcg4N/FcPWVox9D02CA+6cYRodOyCVePnyJXv0mRg7dqy6Llx58OBBXV1dOE6K0tPT27p1K6QhPgkNDa1YsSL8nSR69OjB20d+i+jSpUvm5uZwnJI3TubPnw9pSEIjrgfXr183MDCgvwTTpk2DWP4RxIA7UaVKFbp45EQPUQhppFevXlWvXp1uDjJ0dHTWrl0L+RBCSCI6Otrf3/+uxN69e3ft2rVbivz/oUOHHj58SJLIPSQuS66W4AohBbGCwB5LYoLCiURi0vWV7l/k4/NvDG/xasA9KEhUosSvYjx8CPFIM+CAO2eYRscOSIXev3/v6ekJX3oJV1fXa9euQbLAhYSEdOrUCQ5MwsTE5OzZs5CM+Co0NNTb2xv+ZhLOzs7Hjh2DZIGLj48fMmQIHJiEtrY2uZeBZMSiEdeDkydPwheBolavXg2x/COUAffWrVtD+SgqODgYYpGmSkhIiI6OjoqKIl+Gz9kFBQWReJJK8qjZLGZbt25lP2XARq6mfn5+kA8hpGEiIyNfv35NOp09e/Zkr6FUdPb29qRXcPz48Xfv3sXExMDnIUGBv6UUxAoCeyyJCUrSqRPzEaJBgyCShy5cYMr5Kzx4AKmq9PGjuGxZugAiLS3R0aMQjzQGDrhzht38mYBUjnzbhwwZoqWlBd9+ic6dO3/69AlyCAq5g54/f77M4Xh4eLx8+RJyICHIzMycPn06e6VfonHjxuROAXIISkJCwsaNG5lHmWkVKlS4efMm5EByNOJ6cOnSJR0dHfoLsWjRIojlH6EMuLu6ukL5sD+hMcLCwvbt29ezZ8+qVava2tqamZnBN6DgTExMihcvTr5FpA+0efPm0NBQ+AwhSE5O7tatGxyJHNLPw1EwhDRNdHT0woULa9SowV7AKjeVK1du164dOVdMnjyZnAA3ZffHH3+MGzdu0KBBbdu2tbe3h21yZ2VlRXoOv//+O46qCAX85aQgVhCYgSR2UJos1gKqol69IJafoqPF4eGknySOi4MYFQsLE1lYQHXp6op37oR4pElwwJ0z0jNVtoC48+jRI/ZgBa127dpXr16FHDwWFBTUvXt3mSXBzM3N9+zZk5WVBZmQAL19+7Zx48bwF5WqWrXqUSH8QB4VFTV8+PBixYpBuSX09PTWrFmTkpICmVAuNOJ68PDhQ2bB3DFjxvD2bCWUAfcKFSrQxStevDhEIfXi7++/fv16+atCjkqXLl2tWrVatWp1zImHh0f16tXLlCmT2xTnbJ6enitWrHjy5AmUg09u377NrF4gg/SK8BUqhDTK2bNne/XqBaeA7Eh/tH379nPnzj1z5kxkZCRsoAjBwcHHjx+fNGlSkyZNmMcI2MhplnQbBHFLqbHgTyUFsYLAHktigvKkpPw7zs58kKenCIcOc3T9+q9aoijRoUMQjzQMDrhzhtUAfwXEAwcPHnR3d4fGwDJq1KgbN25AJh548+bNsmXLSpQoAeWTIjGkM4mtWM2cO3dOftCP6NOnz8WLFzN5s9T5ly9f1q9f7+zsDOWTMjU1HT9+vGJvcNSbRlwPPnz4UKZMGfor0rZtW97+DiOIAffv3787ODjQxXNzc4NYJHCJiYlXrlxxdXXNcVi8WLFi5cqVI9/G06dPJyQkkCuBqAhzqpJtyR7oT5w4caKLi4ulpSV8EouWlhZJOnr0KLdrjJCi/vbbbzIv9DFIE3j37h1kRQipteDg4G7dusmfJMkZrG/fvgEBAaqfOIt84oMHD7p06cI8VcDQ09ObNm1aVFQUZEX8AH8eKYgVBPZYEhOUbfZs5rNEZmbiz58hHkmI1q//tcasnp5YmK+oI4XAAXfOSM9R2QLik7dv37Zu3Vr+SQUTExNy80tu9EJDQ1X2RCa5EU5JSSF3uK1atbK2toaisFSoUOH8+fNpaWmwAVJTX79+7dOnj/wUtYaGhuQ7MG/evE+fPqly/D09PZ188bp27Vq8eHEoCou9vf3BgwdxfalC0IjrAfmmNm3alP6ukO80b3+QEcSA+6FDh5jzwoIFCyAWCdO9e/dyfIzdzs5u5syZt2/fjlPh+9GkY0HKs3DhwhwfJHd3dz958iRkVQnS92rZsiV8vBwfHx+85CCkCW7evCmzGBdRrFixJUuW8O33ttevX5PrssybyAS5qQsMDIRMiFPwJ5GCWEFgjyUxQQUuX872iTNn8noZVZWJjxdVq8ZUi6hSJXFEBCQhjYQD7pxhzk7sgPjq6tWrgwcPlplTm2FhYdG0adOJEyfu3r37+fPnqampsFlhffr06dSpU+T2tmvXrk5OTvAxckg/bc+ePXhrqbEePHgwfvx4c3Nz+EJkZ2xsXL9+/bFjx27ZsuXx48dJSUmwWWEFBQWdP39+2bJlvXr1KleuHHyMnIYNG27atCk6Oho2Q4WiKdeDefPmwReHog4fPgyxPCOIAfdRo0ZB4Sjq0aNHEIsE5dChQ/KX/OrVq69evZpXP6fv2LFDvlGQS9GGDRuUWs5Lly7JTFLGsLOzE8RUawihIoqMjBw6dCi0fClyG3br1i3IwW8HDx50c3ODckstXrwYx1+4BX8JKYgVBPZYEhNUIzZW3KzZrw+1thZr9or9oh07/n2eXVohouXLIQFpMBxw5wxzamIHJATp6ennzp1r165d8eLFc3ubmUEyaGtr60rp6emRe+e6deuamJhAlK4uySD/HqQ8cptZs2bNzZs3x5KrG0LZZWZmknuNHj16lCxZMscJJNnoryXJBl9BXd0qVarUr1/fwsIC/p3vr6WZmRnZdtWqVeHh4UWZzADJ0JTrgb+/P/PMl6enJ8TyDP8H3L9+/cpMzkMa5Pfv3yEBCcH79+9r165N//lo5OzcsWNH8meFHHwVFRU1atQo0rOBckuUK1fu7t27kEMRyOVt1qxZuV3Y6tSpg7OVIaQJrl69KjNDS61atYT7hDg5T5YqVQqORMLZ2RkfeOcK/A2kIFYQ2GNJTFCl48fZHy3q1EnM6Yxz3HjzRuzk9KseKlTAaXYQDQfcOcO0R3ZAwhQWFkZ6Tbt27Ro6dGj58uXlXxksKHt7+/bt269Zs+by5cuf8XSNCuXHjx8PHz48cODA2LFjK1eubGZmBl+vwipZsmSLFi2WLl164cKFDx8+qH5KTI2iQdeDDh060N8wbW3tU6dOQSyf8H/AnVwtoGQUtWrVKohFvLdgwQL4s0kNGzYsPDwckoUjJSVl5syZcAxSEydOTE9PhxyFEhgYWKtWLdidHFJ7uC48Qppg/fr1uqy5FI2Njf/66y9IEzhykly+fDn7Aa7ixYufOHECkpGqQO1LQawgsMeSmKBiaWmiESPYBRDNmCHWkAt0eLioTp1fx66nJ9q1C5IQwgF3DjGtkh2QBiCNDsfQEd/ExMTgUzW8okHXg/DwcOZlinr16vHwlxyeD7inpaUZGxvTBStfvnzRZ49CyhYXF9evXz/6T0arVKnSw4cPIVnI3r9/LzOrcrNmzcLCwiA53w4ePMh8q2U4ODjwagl7hJDysH9OJipUqPD27VtIUy/nzp1jr4ZkZGR05MgRSEPKB/UuBbGCwB5LYgInYmLEtWtnK0b//mI1Hlh89Urk4pLteGfMgCSEpHDAnTPstskEhBBCSKMG3EUi0Zw5c6ADQlHk7hoSeIPnA+5eXl5QLIpSm4f+1FVcXFy7du3gryXRuXPnhIQESFYXKSkpEydOhCOUqFKlSn6G3TMyMvr37w/byOnUqRMuD4KQhrhw4YKRkRE0foqqX79+TEwMpKmvFy9esJentrS0JDGQhpQJalwKYgWBPZbEBA4FBYnq12cXRtSo0b8zrqiTU6fEJUtmO8bJkyEJoexwwJ0zrBb6KyCEEEIaNeBOJCQkkHtp6INQ1Bue9csbN24MJZPy8fGBNK79/vvvzPsBo0ePhljES+RrQ/+laFOnToUE9bVt2zY4WolOnTrldo/x9OlTV1dXyJedrq7u2rVrIR9CSN19//7d2dkZ2r9kSWS+9QqU7ebNm6ampnD8kh8bcHRG2aCupSBWENhjSUzgXHKyqE+fbEUyMBDPmSMu2kRzHAsJEbVqle2gDA1Ff/4JqQjlBAfcOcNuqkxACCGENG3AnQgICDAxMaF7IVZWVikpKZCgZN++fatcuTL9uYqyYsUK2LuS3bp1ixltr1mzpiY8/SdQJ0+epP9MtM6dO0OCZpg6dSocucS6desgQfKCy59//pnbgqgVK1b08/ODrAghDbBy5Upo/xRlYGBw+fJlSNA8v//+O1SExD///AMJSAmglqUgVhDYY0lM4I9Dh8TW1tnKVry4aMkScWIiZOA90evX4oEDsx0CCU2aiPHtE5QPOODOGZk2SweEEEJIAwfcCT8/P+iGUJSzs3NISAgkKFNAQAB71lSFGD58OOxdmR48eACfJ3kA8P3795CA+EQkErGnJCpbtizpeUOaJklISKhTpw7UAkW5uLj4+/v36NED/i1n4MCB6jfTDkIoD9HR0aVKlYJTAEV5eXnhkASpk9KlS0ONUJS3t3eicIYphQWqWApiBYE9lsQEvvn5UzRsmNjISKacop49xe/e8XF51dhY8alTIldXmQKLixcX790LeRDKBxxw54xM46UDQgghpJkD7sTp06eZZ13Lli0bGRkJCcoUGBi4YcOG9Yqwdu3aY8eOwX6V6cqVK3p6enRFmZqafv/+HRIQn5w6dUpXV5f+MxE4Lwpp4EyFkC+whYUF/f8MKyurHTt2QG6EkMZ49OiRpaUlnAgo6vz585CAJE/9a2lp0TVjZ2cXFRUFCUhx6OplQKwgsMeSmMBbERHiNWvkR97FVlai3r3FDx5ANk5kZYlJP61GDdmykeDqKv7nH3FmJuREKN9wwJ0zMq2YDgghhJDGDrgThw4dYsbctbW1X716BQlIat++fcy9t4GBQWBgICQgPpkxYwb9NyJcXFxU88YG/yUmJnp6ekK9SOYmNjc3J/9TrVq1L1++QCaEkCbZv38/fUIgSpYs+fLlS0hAUqdOnYIKoihjY+MbN25AAlIQqFwpiBUE9lgSE4RAdPmyuGNHkbm5bOEl4d/x95MnxeRsEB8PGyjW9+//ju//+afIzU3moyGUKSP63//Enz5BfoQKBQfcOSPToumAEEIIafKAO/HhwwcDAwO6R6Kjo7N7925IQGLxyJEj6ZohqlativO281B6enqHDh3gj0RRzZs3hwQkNXz4cKgdivLw8EhKSoIEhJCGWbduHZwLJG+24VxSufn06RPzVpCxsfH9+/chASkCXbEMiBUE9lgSE4QlK0v8+rV49myRjY3sgTBBX19saysuW1ZUp46of3/RH3+Iz58XP38uFolgJ/JCQsSPH4sPHRLNmSPq1ElcpYq4VCmxpaXsnllBVKOG6MCBf8fiEVIQHHDnjFwD/zcghBBCGj7gTkRHR7u5uUGvhKJatWqVnp4OaZrq27dvzs7OUCMU1aNHD0hAfJKZmdm6dWv4I1HUvHnzIAFlt2nTJuZdlsqVK+OYO0Ia6MiRI8z0aFWqVMnIyIAElJOXL19aW1vT1UW8fv0aElCRQZ1KQawgsMeSmCB079+L1637d6lSNzeRjo7s0SkiiKysxE2biseNE/v6ilNS4HMRUjQccOeMXKv/NyCEEEI44E5bvHgxdEwkMz6rZnp0fmJXhb6+/tmzZyEB8UyjRo3g70RRkyZNgliUky1btkBNUZSrqyvEIoQ0w5MnT5jp0VxcXIKDgyFBQT59+uTt7V2iRAkbqQYNGoSHh0OyImRlZZFiT506tUyZMlZWVsbGxqSvQg6KZmRkZGJiUrx4cfK5R48eVcjPil++fCF9ALrSzMzMcCYuRaGrlAGxgsAeS2KC+snIECcnixMSxG/eiE+cEM+fL+rTR9S+/b8TwtjYQDAzE1tYwP/b2Ym9vMQdOoiHDBFv2iQm3ebISHFiojg1Na+H4hFSNBxw54zMWZEOCCGEEA64MyIjI6tWrQrdE8mTsKGhoZCmGR48eEBu4+H4KapFixaZuGoTX/Xs2RP+ThQ1bdo0iOUN0r/fvHmzj48PKWfHjh27dOkyevToSZMmkcigoCDIpFq///471BdFNW3aNAWfMkNIM8THx5uYmNBt38zMLCIiAhKK7P79+15eXvSeZRQrVuzu3buQr2g2bdrEftg8/8i59927d7CXQgkICIB9SZbBSExMhARUBFChUhArCOyxJCYghPgBB9w5I3NWpANCCCGEA+4y9u/fz7x1TrRo0UITeirh4eGlSpWCY6YoS0vLhw8fQhrinx07dsCfiqLGjx+flZUFCfxw8OBBKFxOPDw8oqKiIKtqLV++HApBUStWrBDho2cIqbuMjIyGDRtCs6eoc+fOQUIR3Lx5s0qVKrDHXChkwH3RokWwOzm2trbOzs6urq6kJE5OTjY2NpAgp3nz5kXpxqxevRp2RFGzZs3C02bRQW1KQawgsMeSmIAQ4gcccOeMzFmRDgghhBAOuOdo/vz50E+RqF+/vro+7f7s2TN7e3s4Tonjx49DGuKlL1++MCv9Vq9eXYFPayrE//73P7psualVqxZXA+7p6ekNGjSgi6GlpfX06VNIQAipqb1792pra9Otfvbs2RBbKPv37y9Tpgy9KxnkMqqrqwv/kCjigHtkZCTZA+yLZe7cuXnMVEMuB3369IGsLKRs165dg0wFlJGR0axZM9gRRX3+/BkSUGFBVUpBrCCwx5KYgBDiBxxw54zMWZEOCCGEEA6452HKlCnQW5GoXLny1atXIU34du3axbxlT+jo6JAYSEM8Vr9+ffpPZmRkdPv2bYjlgZSUlE6dOtFloxUvXrxz587wDykOB9yJb9++kXqjS+Lg4ACxCCF1RE417u7udHsvWbJkoedXGT16NL0TNn19/XHjxtE/xj969AhipYoy4P7ly5cSJUrAjqTatGkDyf/l69ev7FfWaFZWVoX+ifHKlSvMZO5eXl4QiwqLrkkGxAoCeyyJCQghfsABd87InBXpgBBCCOGA+3/avn07M0JH69ixY0hICCQLTUBAgKurKxyJBLmxv3fvHiQjfjt27Bj82Siqe/fuEMsDycnJ1apVg5JJ2NnZZWRkrFy5Ev4txe2AOzFz5kwoCkWtWbMGYhFCaufQoUPQ1Clq4sSJEFtwTZo0gb1Ifqgju5WZWUWBA+6xsbF16tSBvUgNGzYMkvMnODjY2dkZNpby9vZOTU2FHAXUuHFjeie6urrXr1+HWFQodE0yIFYQ2GNJTEAI8QMOuHNG5qxIB4QQQggH3PPp/fv3TZs2hc6LhI6OTvfu3b98+QI5+O3JkyfseWxpI0eO5NuEJCgPWVlZHh4e8MejqG/fvkEC1wIDA9nL7RJeXl7p6ekkiT1tOo3zAXf2CopVq1aNjo6GBISQemHmQrG0tHzx4gXEFtyjR4/Wr1+fxx4UOOC+f/9+2IWUvb19IUZM9uzZo6WlBbuQKvRD99evX4ddUNSQIUMgFhUK1KMUxAoCeyyJCQghfsABd87InBXpgBBCCOGAe0GdPHmyYsWK0IuR8vT0PHHiBN/6NN++fduwYUPp0qWhlFIeHh64JqoQ3bhxw8zMjP4jDhw4kCdrpd66dYs9NxHRv39/SOPlgDsxd+5cujDa2tqk5UIsQkiNJCcn082cIFdtiFUOBQ64m5ubwy6kFi1aBGkFJD8vTefOnSGtgBITE5l1WWvUqEHqFhJQwdHVyIBYQWCPJTEBIaRapP9PbjljYmK+f//+4sWLgwcPzps3b+rUqWPHjoXTCkuzZs1mzpxJUsml5PTp02/fvo2IiCDbktM4LoKtMDJnRToghBBCOOBeOKSP8uTJE09PT5knyHR1datVq0a6PuTuVPXjoenp6dHR0aTXZW1tDQWSIgVr27ZtcHAwZEUCxB685snatlu2bIECSW3YsAHSJPg54H716lUoDUVNmzYNYhFCauTw4cPQyCVrjUKscihqwP3BgwewPUtsbCwkF9D48eNhF1KkVJBWQJmZmYMGDaJ3Ym5uzqvlQwSHrkYGxAoCeyyJCQghZQoMDNy6devAgQNr164t8zqpQtjZ2TVq1GjEiBG7d+/G954LSeasSAeEEEIIB9yLLiQkZMuWLZUrV4aeS3bVq1cfM2bM/v37lTH5TEBAwIYNG/r27VumTBn4vOzq169/9OjR+Ph42AAJVlJSUtu2bek/K+kcF3r1PwWSeZTG0NDw77//hjQpfg64BwcHV6lShS5PjRo1Cj2ehRDirYULF9JtnJA/NSmWogbcZ8+eDdtLOTk5paWlQXIB7du3D/YiRc7ST548geQCWr9+Pb0TbW1tnvziK1B0NTIgVhDYY0lMQAgpTnp6up+f34IFC+RfUWKzsbEpXbo06cE2aNBgypQp5GbwwIEDFy5cIHcHb7J79erVP//8Qy4HJM+oUaOaNGlSrVo1sq2lpSXsKyelSpVauXLlixcvMjMzoWQoDzJnRToghBBCOOCucKdOnerSpQvpqUCfJRdGRkZubm79+/dfsmTJtm3brko9ePDg5cuXN27coP956dKltWvXTp8+vVevXrmNqjO0tLRcXFyGDRuGi6Cqn/DwcPLHpf/QpHvN7RhxVlYWM/pPMzAwIN16SGbh54A70b59e7o8FhYW379/h1iEkLoYOnQo3caJx48fQ6xyKGrAvUOHDrC9VJMmTQo93vHixQvYi5Surm6hJ9E6fvw47IWiSKcFYlHBQSVKQawgsMeSmIAQKrJDhw7Vq1eP3BvCeYGF3Nx169aNnLpfvXr148cP2EBxIiIinj9/vnPnzhYtWsBHZmdmZta4ceNz587BBkiezFmRDgghhBAOuCtVSkpKUFDQ2bNnR40a9Z9D8AVFemDVqlWbO3cuuasPDQ3lyYzeSEnIF4mZKahNmzb0kqScyMjIcHR0pEtCq1SpUm4/APB2wH3AgAFQIIoSytLHCKH8Y48dfP36FWKVQ1ED7uxlsWk9evQo9MWdHDXsRUpXV/fo0aOQXEAXL16EvVDU4sWLIRYVHFSiFMQKAnssiQkIoUJ59uwZuy/KsLS0HDp06PXr1yEfF86fPz9o0CBm6Q62yZMnf/78GfIhmsxZkQ4IIYQQDrhzJT09PSgo6Pbt28eOHTt06NCaNWuWSkydOrVv374LFiyg/7lx40Zye3zixInHjx/jc7ia7P3799DVpag+ffpArMq9fftW5i3UZs2a5bGAHm8H3CdNmgQFoqj79+9DLEJIXfTv3x9aOEUFBARArHIoasDdzc0Ntpfq3bu3AgfctbW1N23aBMkFxH7CffPmzRCLCg4qUQpiBYE9lsQEhFBBPH36VP5Ub2Ji8r///S80NJRvC5mSC1BwcPD48eMNDAygrBLkatKgQYNv375BPg0nc1akA0IIIYQD7ggJwqdPn5jObs+ePTnpkV9lrTVKGzNmDKTlgrcD7swCgASpW4hFCKmLBQsWQAunqPPnz0OscihqwL1GjRqwvVRRppT5/Pkz7EVKV1e30NPZb9q0CfZCUYcPH4ZYVHBQiVIQKwjssSQmIITyISEhYdy4cdDsperWrSusJTG2b99eoUIFKL2Evr4+udpmZGRADs0kc1akA0IIIYQD7ggJwvfv38uWLUv3bps3b57HQ+VKsnLlSvrTGVu2bIG03PF2wL1Lly5QIIoKDg6GWISQuti1axe0cIpav349xCqHogbcZdbGIBo0aFDogQxSANiLlIGBwe3btyG5IEQikY+PD70TIyOjq1evQgIqOLoaGRArCOyxJCYghPJELhAyK6CWLl361q1bkCxMvr6+MgdVpUqVjx8/QrKmkTkr0gEhhBDCAXeEBCE2NrZevXp0p7ZGjRrh4eGQoHyZmZnyT+Xkc/Ukfg64//z5s3HjxnR57OzsIiIiIAEhpC5Iu6bbOEFOOxCrHIoacB89ejRsL6Wvr5+WlgbJBbRlyxbYi5SxsXFcXBwkF0RSUlK5cuXonVSpUkUZC/dpDroaGRArCOyxJCYghHKxe/duMzMzaOoSq1evVv0TM8oTHR09fvx4ODYJe3v7M2fOQLLmkDkr0gEhhBDCAXeEhGLChAnQn1XhtOMikahJkybwqRKGhob5n7RxxYoVsJlUrVq1YmJiIJkjz549s7KyosvTtWvX1NRUSEAIqRFytqGbuY2NjVJnjlLUgPuJEydge5ZCT0Dfpk0b2IVU3bp1Ia2A3rx5A7uQrOMKsahQoB6lIFYQ2GNJTEAIydm5cye0cAlra2v1HobeunWrsbExHC1FmZubnz59GtI0gcxZkQ4IIYQQDrgjJBSHDh3S1tam+7JLly6FWCUbMGAA/YkMd3f3+vXr18uHhg0blipVCjaTMjU19fT0hBwSnTt3fv36NXyeShw4cABKQ1GFXkIQIcRza9asoZs5OXOuXbsWYpVAUQPuP3/+hO1ZRo8eDckFER8fr6+vD7uQ+vPPPyG5gMaMGUPvgdSkr68vxKJCoWuSAbGCwB5LYgJCiOXBgwfk/A/Nm6LKlCmj4i4uhy5cuMA8zkLY29u/ffsW0tSbzFmRDgghhBAOuCMkFJ8+fXJycqJ7sa6urqpZoYh5RFSpVPmYeXp6evv27enPtba2fvjwISQghNRLaGgoc86sUaOG8iaPUtSAOzF27FjYhZSVlVV0dDQk51ufPn1ge6mqVav+/PkTkguCXHqMjIzonVSqVAliUWHRNcmAWEFgjyUxASEkQU7Ubm5u0LAla2bkc/ZFNbN3715dXV2oBYpq0aKFOs2ikzOZsyIdENJI8fHxr169ev369dOnT8k58CzLmTNnbty48fLly4CAgKCgoKSkJNgGIbWG1wOEBIM9VeKhQ4cgVplGjRoFn6dMhX7ushAePnwInyoZ6IdYhJA6Yi8jsXnzZohVNAUOuAcGBhoYGMBepNq0aZOZmQk58mHv3r3M61CMY8eOQXIB9ezZE3ZBUVeuXIFYVFhQlVIQKwjssSQmIITE4u3bt2tpadGNmvyPslfq5jmRSMRe/ElHR+fy5cuQppZkzop0QEhNJScnh4WF7du3r2/fvpaWlkZGRnp6etDaC4WcIvT19c3NzatWrTpr1qx79+7Fx8cXegUjhPgGrwcICUZCQgK5JtEXpxIlSqjmIfeiWLt2LV1aRp06ddLT0yGZC5UrV6ZLoqurqznv+SKkmWJjY8uXL083eSIwMBASFEqBA+6Er6+v/Jh7pUqV8vka0MSJE2EbKXLV2LFjByQX0PHjx5mx++7du3N79lYPdGUyIFYQ2GNJTEBIsyUmJlapUgXaM0WVK1cu/wsdqbf379+zZ9dp27YtqStIUzMyZ0U6IKQu3r59u3Tp0saNG7NfXsmNlZVVgwYNGjZs2KtXrzFjxoxmIf8cNWqUlwTp1srPfCjP0dGxX79+hw4dUv8XZZD6wusBQkKyatUquARR1Pjx4yGWr9iPl9Jq1aoVFRUFySq3ZMkS5hEk/tceQqjoAgICmFZfqlSpwj0yk5SUFB4eHpGLixcv0vtnmJubnzlzJjIyEnJkBzvN3fbt22FH2bm7u9+7dy82NhbySaWnp798+bJ58+aQj8XIyOjSpUuQr4DIIZuZmdH7qVChQnBwMCSgIqDrkwGxgsAeS2ICQhrs6dOnJUuWhMZMUevWrYMEJDVhwgSoHYpydnYOCwuDBHUic1akA0KClZCQcOvWrfr160PTzY70DCtWrNi9e/cdO3Z8//4dtimyrKysR48eLVq0qF69eqS7Lv+mJkH6tNOnT//48SNsg5AQ4PUAISFJSUlhpiDX1dXl+Qv+vBpwv3//vqmpKV0Md3f3wk1njBASnH379tENnyjERFKrV6+GjRXE1tb23bt3sPdckFN9u3btYINc6OjoML8l5GjgwIGFfhEqMzPTwcGB3o+enl6hR+2RDLpKGRArCOyxJCYgpKn+/vtvZkjIzMzs4sWLkICy27BhA11LhL6+/uPHjyFBbcicFemAkNA8f/7c29tbvmNJmi3pT5JTXEhICGRVFVKkLVu2NGjQAIrCUqJEicmTJ6tsETiECg2vBwgJzMePHx0dHemLja2tbVxcHCTwD38G3JOSksqWLUuXgdwX4VqpCGkOkUg0e/ZsuvkT5LYhKysL0vJh+vTpsKWCWFtbP336FPaeJ1Ly+fPn5+cdXjZnZ+cTJ07ALgolOjqamX2LOHr0KCSgIoM6lYJYQWCPJTEBIY3Efg/JxsYGn7jM27Nnz5jpI8zNzdVtSneZsyIdEBKIkydPuri40M2TUbp06fHjx/Ntgixy6mjdurX8vIv9+vV7+/YtZEKIZ/B6gJDw3Lp1ixmCsbKy4u0y38uWLaMLyfDw8FD9gHtqaqqdnR1dAC0tLRw8QkgDDR06lD4JEIMGDYLY/Hn9+vUDBXn48GFMTAzstyAyMjL27t1LjqJVq1YVKlRwdnZ2dHQk/9O8efMBAwYsXbpUUYtSkAtKkyZNoKYoateuXZCAFAGqVQpiBYE9lsQEhDQP6UYyw8c2NjZ8fvCFP+7cucPMUUZq78mTJ5CgBmTOinRAiN++fv3q5eVFN0lGjRo17t27V6CnUjgRHx+/ceNGY2NjKLcE+eecOXMgB0K8gdcDhATJ398fLi8UVb58eX7OrhseHr506dJeUmPGjLl+/bpIJIJklYiIiGCvZ4Wj7QhprG7dusGJgKJq164dHR0NCUjqx48fFhYWUEcUtXz5ckhACgI1KwWxgsAeS2ICQhrm6tWrenp6dPu1sbF58+YNJHAtJSXl5MmTpNfdtWtXZ2dna2trupAMW1vb6tWr9+7de8mSJTdu3IDNVOj+/fvMo6lGRkaqn55CWWTOinRAiK9+++03uhkymjdvHhAQAMlCs3///hIlSsCRSJATnb+/PyQjxDW8HiAkVP/88w/ziI2hoSF/Ov38ERwcbG9vT1cRzdzcfNOmTYmJiZADIaTuzp8/X61aNTgFsNja2oaGhkImJBlIMjExgdqhqJs3b0ICUhyoXCmIFQT2WBITENIksbGxxYoVoxuvlZWVn58fJHAkIyPj2LFjNjY2dJEKqkePHrAjVSGXFfhsiipbtmxmZiYkCJrMWZEOCPHMz58/R4wYAc1PwtLS8ujRoyp+Ek5JEhIShgwZoqOjA8cmueXHx+wQH+D1ACEBe/nyJXt8ZOfOnZCAxOJLly7lsaKgnp7e0KFDw8LCIDdCSI2Q+4c7d+4wKzfkAR/ipo0cORJqhKIcHR0DAwMhASkUVLEUxAoCeyyJCQhpkjp16kDTpagtW7ZALBfCw8PZc3/lyNjY2N7e3s7Ojln5SYazszPsToXYyzsVdHo3npI5K9IBId6Ii4vr3LkztDqJunXrfvnyBZLVy6FDh8zNzeE4KUpbW3vdunWQhhAX8HqAkLAlJydXrVoVrioU1bVr14yMDEjTVJmZmePGjYMaoSj2bxI5atq06bVr12BjhJCQnTt3zs3NDdp2Ttq2bXv79u0WLVrAvyVrQ4WHh8P2msfPz4+ZWpdQkxEQvoJaloJYQWCPJTEBIY2xevVq5jGOIUOGQKzKiUQi9vRoDFK2Tp06vXv3DvLljtwm+Pr6jhkz5tatWxClQomJieQqDIWmKHLJhgThkjkr0gEhfpBZ+b9Xr14pKSmQpr78/f3LlCkDxyx5IenSpUuQhpBq4fUAIXUwc+ZMuKRI3LlzBxI0z9evX9m/bA8dOpR5ZXXp0qUyM8zIsLW1PXjwYGpqKp0fISQU//zzT24P8dHatWsns9YF2YT98mm/fv2Sk5MhTTPExsY2atQIjp+iLCwsXr58CWlIOaCupSBWENhjSUxASDOEhoa6uLjQzbZYsWJcrZz04cMH+Te3jIyMhDVzwqVLl5hfeRs3bpyUlAQJAiVzVqQDQlwjt7Ta2tp0QyPq1aunaWsXkVONpaUlHL/knZ6YmBhIQ0hV8HqAkJoICQmxsrKCSwpFeXl5xcbGQppmSEtLGzhwIBy/xJMnTyCNJSMj4+bNm+XKlYNMOSF3AhMmTPj58ydsgxDipX/++adUqVLQbnPSqVOnPEZGMjMzx48fD1klb56uXbsW0tRaamqqzNlyyZIlWVlZkIyUBqpbCmIFgT2WxASENMOaNWug0VLUrFmzIFa1yLVM/nfldu3aQbKgNG/eHA6Aos6fPw+xAiVzVqQDQtwhfbzGjRtDA6MoOzs7TZ4ncP369VARkjeBli5dCgkIqQReDxBSKzIrjw8fPlw91kL5T+TyCccsMWrUqPT0dEjL3dOnT3v27Anb5KJbt245DtwjhLji6+vLPGyYox49euTnzXpadHR0/fr1YUuJuXPnQprakZ/Ks1+/fmlpaZCMlAwqXQpiBYE9lsQEhDQAuUbUrl2bbrN2dnb+/v6QoFoeHh50GRg+Pj6QJjR3795l3jBr1qwZxAqUzFmRDghxZMeOHewH26dNmwYJGiwyMpK9AoeTk5OmPeyPOITXA4TU0KBBg+CSIkH+KfgXNnORnp4+b948OE6Jxo0b52eoXcbPnz+nTJnCfkVAXrly5c6fP89MUIMQUiXSro8cOVKyZElokHL09PRat24dEhICGxRQaGhow4YNYV8SXbp0IX10SBa+Dx8+yMxu36FDBw35RZY/oOqlIFYQ2GNJTEBIA7x9+5aZvb1p06YQq1orV66kC8CoVauWoN9kLVGiBH0g5NqdkJAAsUIkc1akA0IqR25Rx44dSzcromzZskFBQZCGsr+opKOjc+/ePUhASJnweoCQeiK9cG9vb7iqSJCbBHUaPEpOTu7Vqxccm4SHh0doaCgkF1ZKSsqJEydsbGxgpzmxtbVduHAhbIAQUrJdu3Y5ODhA88vJoEGDvn37BrmLhtz2DxkyBPYrYWlpuW7dOkgWIJFI5OPjY2BgAMcjMXfu3EL8MImKDv4AUhArCOyxJCYgpAHIJQBaLEUtW7YMYlUoKyurUqVKUAIJLS0tYc3bLm/MmDH0sWhrax86dAhihUjmrEgHhFQrMzOTeRGHaNWqVUZGBqQhqdevXxsaGkIdUdSmTZsgASGlwesBQmqOPUMxYWBg8Mcff0CaMB07dox5LobWtWtXZax2eP369RYtWsBn5GLYsGFv376FDRBCirNnzx47OztoaTkZNGiQ8lau27dvn8x5plSpUlu2bBHKROexsbHLly83MTGB0ktUqlTpxo0bkANxAf4SUhArCOyxJCYgpAGYxzuMjIzu3LkDsSp05swZmZO5q6trREQEJAvTuXPn4GAoatKkSRArRDJnRTogpEIxMTHOzs7QnChq8uTJkIDkhIWFlS9fHmqKo99QkUbB6wFCGuHvv/+2sLCAa4uEnZ3dyZMnU1NTIQe/ZWVl3b17t2rVqlB6CVNT040bN0IOZYqNjR0wYICxsTF8cE5q1qx5//59XHUQoaJISUnx9fWVOVmx6enp9ezZk9xawAZKlp6ePmLECPbjMISOjs7w4cM/ffrEt/lY0tLSXr161bZtW/b0nYSZmdmKFSvw7MQH8CeRglhBYI8lMQEhDVCvXj26wZJuJznzQ6wKkSsOXQBGq1at6KTw8PArV67873//Yw8h5cjJyWns2LEPHjygN+Tc06dPoWSS1ZIgVohkzop0QEhVyF2qp6cntCWKWr16NSSg3FWsWBHqi6KWLFkCsQgpAV4PENIg0dHREydOhMuLVIkSJaZOnfrz50/IxCfp6ekrVqwoXbo0lFWqb9++ippBokASEhK2bNlibm4O5chJ2bJlBT0BBUKc+P333/OYn52YPHlyoednLzpy8ly7dq3MxCxEsWLFunbtyu0QxsWLF729vfX19aFMUqQ+9+3bhwui8gr8baQgVhDYY0lMQEgDMHOakRO+Mt6nzFtGRka3bt3oAjDKlCkj8wxKgVSqVMnPzw8+gCOkGw+loaj69etDrBDJnBXpgJBKZGZmNm3aFBoSRc2ZMwcSOBIYGHj48OHNmzdPmjRp4MCB9erVGzp06OjRoxcvXnzt2jX+LISWmJjIvBOgra1NeviQgJCi4fUAIU2UkJBALoSWlpb0lYZhZ2e3cePGL1++QD4ukE9ft26d/CC7gYHBgAEDlDeDREGdPn26Vq1aULhczJw5kz8FRohv0tPTt27dmse7I7q6uqSbHh8fDxvww927d3v27JnjY/g6Ojr9+vU7duxYQECAMn7FJFXx+PHjvXv3duzYET4yO0dHxxEjRrx//x42QDwDfycpiBUE9lgSExDSAOwBd9W/GBoXF+fl5UUXIA9WVlZ16tQh1yZyCWC0atUqjxVQ3NzcyM7hY1QOB9wRKrqhQ4dCK+Jiaqbk5GRfX1/2iH8+NWvWjPSlYS8cCQ0NZdbGIHcijx49ggSEFAqvBwhpNHLncPbsWQ8PD11dXfqSwzAwMHBycpo3bx7pE5NsSpo8gew5IiJixYoVFStWNDIygs+W0tbWdnFx2b17Nz8fwKeR+uncubOOjg4UWg5JatKkCQ6BIUTLyMjYtGlTHm+KkNPRqFGjEhISYAO+ImfF79+/L126tGzZsnp6elD67MixmJmZWVtbk279gAEDlixZ8s8//zx//jw+Pp4cIEFObikpKUlJSfQ/Y2Nj79y5c+bMmVmzZvXq1atcuXJkWxMTE5lZYhjkRF25cuVt27ap05rYagz+bFIQKwjssSQmIKQBmKUITU1NP378CLGqEhISUr16dboAbOTi0rVr1zdv3pArCGTNHelpsyedYFSoUCEsLAwyqZa/vz8UgqK6d+8OsUIkc1akA0LKt3//fqbz2aBBA4hVCV9fX9K5pT+60EgPdu/evbBHLly7do2c1enCkJ58fs6lCBUUXg8QQr9cunRp+PDheTxwam1tTa7oPXr0mDx58h9//HHlypXAwMDY2FjYPifR0dHk/uTmzZvr16+fOnVqz549GzdubGtrC3uUQ24h+vXrd/LkyfT0dNiFQERGRi5atEh+Ygc2Nzc30j2CDRDSJFlZWYsXL867gz5r1iyubv4V4uvXr0ePHiVHUb9+fTgkhTIxMfH29ibVePr06e/fv8OnIuGAP6QUxAoCeyyJCQhpgL59+9INlpNFU2NiYho1akQXgFG4Sc9nz54N27MMGTKEk3ke2Ium+vj4QKwQyZwV6YCQkr179455HdzS0vLz58+QoHyvXr2Sf8vTwcFh5syZpF2TnjAzmWFERMSTJ098fX3r1q0L+eQMGDCAzswJ0qOGclBUnz59IBYhxcHrAUIoV/7+/v/73//q1Kljb28P1yJFs7Oz8/DwIN19NXuTa+/evS4uLnCQOTEwMFi2bFlUVBRsgJCaio+PX716dW4PaBNmZmZTpkzJyMiADdQUueu4du3arl27fHx8pk+f3rJly6YS5ATr6upav359+p/du3cntTFjxgxyDiF3KSpbHhapBnzppSBWENhjSUxASAOsW7eObrBaWlqk5waxqpKent6pUye6AAxysYDkAmrQoAHsQor0w1U5VMcYO3YsXQBSq/v27YNYIZI5K9IBIWUSiUSzZs2iWxCh4sXDvnz5UqpUKfK5JUqUWLBgQf4n2vrf//5HF1jGqlWrIAcXKleuTBcDJ5ZByoDXA4RQAcTHx3/79u39+/cXL178448/hg4d2rhx41q1allZWdHXKhnm5uaenp5169YdNGjQmjVrzpw58+7dO7IHDmeNVLEXL16Q+yKojpwYGBi0bdsWH1ZF6mf+/Pk5TnROI/fYc+fO1ZxTAUIEfPulIFYQ2GNJTEBIA7x58wZabBFGugtNJBL169cPPl6qdu3ahZtrccqUKbALFtJThWQVKl68OP3p+vr6fFuppWBkzop0QEiZQkJCDA0N6RZUqVKl8PBwSOC933//nS42W4kSJSCZC2fOnIFyUFTnzp0hFiEFwesBQgipAukbjR07VktLCy7pOWnYsOHZs2dhA4QEiNw2z507V349Boa2tjbJkJSUBBsgpEmgGUhBrCCwx5KYgJAGiIqKYiZAd3R0fPnyJSSoypIlS+hPZ9ja2j5+/BiSC2Lz5s3yHdHnz59Dsqrcv3+fWfpI9b9hKJjMWZEOCCkT83g7ac6LFy+GWCGIjIyUX/bM2tqaw4lk2dN2WVpaPnjwABIQUgS8HiCEkKqtXbvWzs6OvrTnyNTUdMeOHQm8XzQSIRrprc6cORO+vjkhXdglS5ZkZWXBBghpJGgPUhArCOyxJCYgpBl+++03aLQUtXTpUohVFX9/f+Z5cMb69eshuSDatm0L20vZ29urfkqZjh07wsdTlOAfNJE5K9IBIWVipi01NDQMDg6GWCGIjo6Wn2SyWbNmkMyRRYsWQVEoatOmTRCLkCLg9QAhhDhz8+ZNd3d3uMLnxNTUdPDgwXkvS4sQVzIyMnx8fJgl/uXp6uquXbs2MTERNkBIs0HDkIJYQWCPJTEBIc3w7du3ihUr0s22ePHioaGhkKAqtWvXpj+dUapUqYKuA/To0SP5GSBVv2DptWvXzM3N6U9v0KCB4HsIMmdFOiCkNG/fvmXeU/Hw8IBYgRg/fjxdcrY9e/ZAMkcuX75sZmZGF6Znz575n5Ueof+E1wOEEOLex48f+/TpQ1/pc9OiRYu7d+/CBghxJyIiYs6cOfC9zImFhcWSJUsgN0JIClqIFMQKAnssiQkIaQz2VW/06NEQqyrfv3+Xfyy0fv36kJwPL1++lJ/trWzZst++fYMcKpGcnNy5c2f607W0tE6cOAEJwiVzVqQDQkqzfft2ugURK1asgFjey8zM7Nu3L5SbZfPmzZCDO/Hx8dWrV6fLY29vL6A58RH/4fUAIYR4JCkpacGCBcWKFaOv+jmytbU9evQo/vyOVIz0R0ePHq2rqwtfRDlWVlZr167FbyZCuYGmIgWxgsAeS2ICQprEzc0Nmi5F/fXXXxCrKtevX4fPZiHdxfxM5j5jxgzYgMXU1DQsLAxyqMrGjRvh4ymqd+/e6jDRnMxZkQ4IKQ17CscjR45ALI9duXKlRYsWUGIWQ0ND/swoVa9ePbpU2trawpqlB/EcXg8QQoiPRCLR8ePHy5YtS1/+c2RjYzNlyhRcfxIpVUJCwrBhw/T09OBrJ8fMzGzbtm0ZGRmwAUIoF9BmpCBWENhjSUxASJNER0czD4kXL15c9aunnjp1Sn69QVqNGjXWr1//5MkTUqp37949ffr0zJkzHTp0yC3/kCFDVL9K4ePHj+HjKap06dJpaWmQIGgyZ0U6IKQ0vXv3hlZEUZyv8JmcnLxly5ahQ4eSOwXaiBEjSAlr164t/0oNo3Llyg8fPoRd8EPLli2hcBQVGBgIsQgVGV4PEEKI7549e9a6dWvoBeSiT58+AQEBsAFCRRYaGurj4wNfr5zY2dn9/vvvkBshlA/QeKQgVhDYY0lMQEjDXLhwAVovRZUvX17F87EQaWlpEydOhBIUyvDhw+Pi4mB3KvTgwQP2ANzHjx8hQehkzop0QEhp2rVrB62Iovz8/CCWI1u3boWi/Bd9ff1mzZpt3rw5ISEBNuYT9syuOIMrUiC8HiCEkGD8+PFj/PjxeczpQbi4uFy+fFkkEsE2CBVEdHR09+7d836effv27SkpKbABQijfoBVJQawgsMeSmICQ5tmwYQPz2Hjp0qW5uhrGxMTMmDGDFIAuSR5IaatVqzZlyhRyfYeNVc7f39/a2pouj7Gx8aNHjyBBDcicFemAkNKMGjWKbkrEqVOnIJYjpC3n8SR73kaMGPHlyxfYEdeaNm1Kl0pLS4s/pUJqAK8HCCEkPFlZWVu2bHFycqI7Bzmys7NbtWqV6l8ZRkIUGhqa97K9jo6Oe/bsgdwIoUKB5iQFsYLAHktiAkIaiXTAoA1LltWJiIiABI6kpaXFxsaSYoSFhX358oX8Nzw8nMTwZMrBt2/fGhoa0tWlr69/+PBhSFAPMmdFOiCkNEuXLqVbE0HORRDLJyKJzMzM+Ph4cl56/vz5xIkTLSwsoNDZGRkZ7d69G7bkCClt7dq16fJYWlqSeyJIQKjI8HqAEELCdvv27Vq1atG9hNyMHDlSo36uJzeZPySCg4PfZ/fu3TtyLxoZGUlScXnPoKCgwYMHw7ckJzjOjpACQbuSglhBYI8lMQEhTfXXX39BM5a8+HX9+nVIQNn5+vpCNUncuHEDEtSGzFmRDggpzd9//w3NiaKGDRsGsQJx5swZcmcBpWdp3Lgxhz8QkttD5m0hd3f3mJgYSECoyPB6gBBCauLLly+DBg2iuwu58fT05NsyNYWWkJBAOp2jRo1yc3NzcHAgd7x5T7aTB7KhpaUl6QLWrFlzxowZ5IZQvZcA/fbtm7e3dx7VZWVldezYMXw9AiHFggYmBbGCwB5LYgJCGuz27dvFihWDxkxR+OO0PNKhgtqhqJIlS6p+yntVkDkr0gEhpUlLS2NmtTI1NRUJcBLRhQsXamlp0YfA4GQlZ9qBAwegEBRFzloQi5Ai4PUAIYTUTXJy8rJly5jpMnPk7Oy8c+dO2EAI3r17t2nTJvZKQXmwtbV1c3Pz8PBo37599+x69OjRqlUrd3f3atWq5V1FNGNj4549e+7evfv79+9QFMF6/fp1ly5d4MByUqVKlf3790NuhJCiQUuTglhBYI8lMQEhzRYdHc2eRZ10LTifXoYnQkND7e3toV4oqlGjRomJiZCmZmTOinRASJk6depEtyw9Pb2LFy9CrKC0bNmSPgQ2Tt7GzszMHD16NF0AbW1tzqfFR2oGrwcIIaTOzpw5U6ZMGbobkSPSV5sxY8aPHz9gA94g92Y3b9708vKSfwiCMDMzI3e5vXr12rt3b2RkZFZWFmxWBGQnX79+3bx5c9u2bR0dHXNcBYgUpkOHDgEBAQKajubTp095/1Dh4OBw/vx5yI0QUhpoclIQKwjssSQmIITE4t9//5154JTYuHEjJGgk0pWaPHky1IWk13To0CFIU0syZ0U6IKRMp0+fhgZGUd26dYNYQVm7di0cAIufnx8kqxC59StevDhdAFdX17CwMEhASBHweoAQQhrhxYsXeT/dTLRp0+bNmzewAUeePHnSokULKBCLoaHhlClTbt68GRkZCVlV4tu3b5cuXRo8eDCz5BfDwMCge/fuwcHBkJVnAgMDyR8UypqTMmXKnD17FnIjhJQP2p4UxAoCeyyJCQghiaioqHLlykHDpigbG5urV69CmiY5duyYsbEx1IJkXuaEhARIU1cyZ0U6IKRMcXFx9erVo1uZtbX1/fv3IUE4hg8fTpefQU4dISEhkKxCM2fOpAugpaW1dOlSiEVIQfB6gBBCmiU2NnbChAmmpqZ09yJHVapUOXHiBGygEocOHZJ/Er98+fJz5szh1QvapC84ffr0smXLQhGlateuzZO76ydPnuT4niaD/HGPHj0KuRFCKgSNUApiBYE9lsQEhBDL5cuXLSwsoHlTVI0aNQIDAyFN3d28eZN5SpQg///gwQNIU28yZ0U6IKRk5L4JGhtF9evXT1irLp0/f97MzAxKL+Xj45OZmQk5VOX79+/w8ZIfSlNSUiABIQXB6wFCCGmotLS0HTt2sG+Q5JH+0PLly5W3cPzbt2/JHSl8mISurm7btm0/f/4MOfhKJBI9efLEw8NDZsabjh07RkdHQyYVIjXJPO2So/Lly9+7dw9yI4S4AK1RCmIFgT2WxASEUHakb7Bs2TJo4RLOzs6PHj2CZHUk81S7vr7+X3/9BWmaQOasSAeElCwzM7N169bQ6ihKZY3uzp07BgYGxYoVGzlyZGhoKMTmG7n3HDt2rPxkoeRmkJPZTatXrw4loKjTp09DLEKKg9cDhBBC/z6a5OXlBT2OnJC+Ud++fRU4Dj5r1izYtdTQoUMFutrYmzdvZGrPxMRk7969kKxM/v7+zZs3h0/NCenCauaL7QjxEDRLKYgVBPZYEhPUTkZGhp+f38WLFzdu3DhnzpwBAwY0a9bM3d2dnEidnJzMzMzMWSwsLFxcXDw8PGrWrNmhQ4dRo0YtWbJk37595JTL/9+MkbL99ttv7IndyZdn8+bNkKYWRCIR6cixB86MjIz27NkDyZpD5qxIB4SU78ePH8WKFaNbH2mJhRj+LoR169bRn8hWt27dadOmnTlz5tu3b5CPJSYm5tKlS5MmTXJ0dIQNsuvYsSM5n0BuFSJlhhJQFPl/TsqA1B5eDxBCCP0SHh7ep08fAwMD6IDkpGbNmrdu3YINCig6OrpHjx6wI4nKlSurzcNff//9t0xvkvQvlbG86oMHD2rVqgWfkRNXV1ccZ0eIb6B9SkGsILDHkpggZLGxseREOnny5PLly8s/badA2trajRo12rRp0+fPn/F1dU1z5swZZkSMVr169RcvXkCyMF2+fNnOzg6OR6JUqVK3b9+GZE0jc1akA0Iqcf36dWiEFFWhQgVl3HHICA0NzfsmsUDIvczXr19h16p17NgxKARF1atXLyoqChIQUii8HiCEEMpBfHz8xo0b9fX1oTOSE1tb261bt8IG/yU6OlrmWew+ffoob7IaDkVGRjZo0AAOUqJv376QVjR+fn5ubm6w05zUrFnT398fciOEeAYaqhTECgJ7LIkJQrNnz542bdpYWVnBHyAn7u7u5No0Z84cX1/fK1euvHjx4suXL0FBQSkpKalyyHXt06dPJMPdu3fPnj1LLppTp0719vYuWbIk7C4nlSpVGjRokKbMcI3EYvIN6datG/z5perXry+s38WPHj3q4eEBpZcaO3ZsTEwM5NBMMmdFOiCkKn/99Re0Rsn4NbkHgQRlevr0KblKOjk5wQcXUOPGjU+ePAn74sLff/8NRaEoOzu779+/QwJCiobXA4QQQv/h+PHj8ndZbPr6+uPHjw8LC4MN5MgsRk96aZCgvlJTU3v16gUHLLF48WJIK6AbN240bNgQ9pKTRo0aae7DZQgJB7RYKYgVBPZYEhN4Lzw8fO/evS4uLlDjLHp6etWqVZswYcKTJ08gt3IkJyeTa2jnzp3lFwande/e/erVqxkZGbABUl9XrlypXLky/OGlrK2t165dy89piN68ebNo0SLSWKCsUjVr1nz+/Dlk0nAyZ0U6IKRCK1as0NbWptsmua7FxcVBggo9ffp01apV06ZN8/HxaZkdiVm3bt3jx48hK9d27drFzPdlamrKydzxSHPg9QAhhFB+ffjwoU2bNuxpSeU1b948ICAANpB0ayBBonfv3pCgGaKioho1agQHL3H37l1I+y83b97McZyIQe54lT1UhBBSIGi6UhArCOyxJCbwVXBwcJcuXQwNDaGipWxtbTdv3hwUFAT5uJCUlEQukUOGDJGfx6ZEiRLz5s1LT0+HrEh9PXv2rEWLFvCHZ3FwcBg/fjz5AkM+Lrx79458P8m3EcrEQrpwgYGBkA/RZM6KdEBIVU6ePDlo0KBx48ZBK6Uoc3Pz169fQzLKbuHChczF187OLsdJ5xFSILweIIQQKrCwsLBFixbR/ZXceHp6litXDv5BUW5ubvHx8bC9hvn69auFhQVUBEV16NAhj7l0Ll26VLVqVciak1q1avn5+UFuhJBwQBuWglhBYI8lMYFn3r9/36pVK6hcKXJHTa5WvJ314sWLFwMGDJD/GXvmzJmpyp+NF3EuOTn5jz/+yO0lNnt7+/Hjxx8+fPjly5dZWVmwjeKkpaU9ffp03759gwcPtrS0hE/NztvbWzWLwAuVzFmRDggpE7miLV++3NzcHFqpZFnm3bt3M7OrGxoaHjt2DHIjKXL/RdcPQW6moqOjIQEhpcHrAUIIoSLZsmWL/IPYOjo6zOuNBLmdg9yaSiQSzZo1C6pDQmap2IsXL1avXh3SctK6detnz55BboSQAEFjloJYQWCPJTGBH9LT0xcsWCCzjFu5cuXISVVA87T8/Pnzt99+MzY2hgOQcHJyunHjBuRA6i4lJeXOnTv9+vUzMzNj96DY9PT0TE1NLS0t3d3d+/fvv2LFilOnTj1//jxGKiEhISkpKT4+nv5ndHT0/fv3z549O2fOHJK/UqVKZFvyNdPV1YU9Zkc6b1ZWVoMHD/b3909LS4OSoTzInBXpgJASfP36tUOHDvJTPNHIRXDq1KmkjcO/KapLly7K+KFOiB4+fGhjYwP1ori1tRD6T3g9QAghpBjPnj3z9PQkHUH2i/w1atTA2fEYISEh7AdSVq5cSe5pS5cuDf/OScOGDT98+ADbI4SEDFq1FMQKAnssiQlcCwsLa9KkCdSmRIkSJYT++25cXJyPjw8cj9Ts2bNFIhHkQBrj3r17f/7556BBgypWrAhfBUVzd3cfOXLk9u3bccX1QpI5K9IBIcXx9fWtXbs2tNhc9OzZk5kkfeDAgRArGYW/fv06Ha+xJk+eDNUheRXg8uXLkICQ8uH1ACGEkMLExMQ0bdoUOjX4BEFOUlNT814BldaqVasXL17ANgghtQDNWwpiBYE9lsQE7jx+/FhmDdJBgwYlJydDslrw9/dnP6tIdOzYMTY2FpKRBsvMzHz//v3Ro0dXrlw5cODAESNGuLu7V5NwcXEpXbp05cqV6X82atRomMTatWvPnTv36dMn2AVSFJmzIh0QKpqoqKgNGzbIvPMkw8rKysfHJ8dlP/z8/ExNTSEfRTVu3JjsENI0yaVLl9gvBJBbVHzkH6kYXg8QQggpxs+fP8ktH92n0dLS2rJlCyQgOYMGDaIrSkbXrl1xRTKE1BW0cymIFQT2WBITuPDu3Tv2W0HkWrNkyRI1fvo7PDy8ffv2cLQS3bt3x7k+EOILmbMiHRAqlK9fv5IzvMwMaTKcnZ1Pnjz5n4t8ZGVlyUxlSW49BDTNWhF9/PjRyckJjpyiihUrdvv2bUhDSIXweoAQQkgxSBcQ+jUUtW7dOohFuZgzZw5UFkVVr14dnztDSO1Bg5eCWEFgjyUxQbUSExNbtGgBdUdR+vr627dvhzR1l5WV1bdvXzhyiYULF0IaQohDMmdFOiBUEGfPnvXw8ICTey7atm1biHmfUlNTO3fuDLuQ6NGjRwxfVxFXiIcPH5YoUQKOlqK0tbU1p6uAeAivBwghhIpKJBJ5eXlB14aidu7cCQmcCgsLW7JkSffu3V1dXXNbH8zIyMjFxaVTp06rV6/+/PkzbKkSpNIWLlwI5aCoWbNm4XuOCKk3aO1SECsI7LEkJqjQqlWroNYkRo0aleN79OotPDy8Vq1aUAUUZWpq+vTpU0hDCHFC5qxIB4T+S2pq6tKlS9lDw/K0tLRmzJgRGRkJ2xRWVFSUzGyWdevWDQ4OhmR1cfz4cfZEOgTpOeDyJ4hbeD1ACCFUVMuWLYOuDUUtWrQIYrmQmZm5f//+YsWKQWkKaPDgwWQPsC+VaN26NXw2RV28eBFiEULqCJq6FMQKAnssCQMGDBgw5BEQysXr16+HDx8OnYBcVKlSZffu3bCB4iQnJw8ZMgQ+Q0JHR2f58uUqvvFRuE+fPnXo0AEOScLU1PTw4cOQjBCn8HqAEEKoSB4/fqylpUV3cZo1a/afswoqCelHduvWjS5GjsqXL9+wYcMRI0aMGTOG/NfLy6ty5cqQJtWpUycVPzWZkpLC/DxgbGz85csXSEAIqR26pTMgVhDYY0kYMGDAgCGPgBBLRkbGzZs3XV1d4dqfE11d3caNG7958wa2URqRSLR//36ZJ8FtbGz++usvcksCmYQgPDyc3NDJvMFct27d9+/fQw6EeACvBwghhIrEwcGB7uVYWlp++/YNYlWL/Yg9Q09Pb968efn8ASA+Pv727duJiYnwbxV68eIFlJiivL29IRYhpHagnUtBrCCwx5IwYMCAAUMeASHJOPuKFSvYq3znaObMmZw8bRMWFjZy5EgohBS5lZs0aVJERARk4p+LFy+yXw6mWVhY7N27F3IgxCd4PUAIIVR4W7Zsgc4ORc2YMQNiVSg9Pb1BgwZQAilTU9NHjx5BDt4jPfL+/fvTJTc2Nr5+/TokIITUC93MGRCL5CQlJbHXR23fvv3Pnz8hDbG8efOG/aDikiVLIAEhhBAXPn/+PGLECDgp56JcuXL8Wcnzx48fw4YNk5+N09LScv369V+/foV8HCFX/5s3b7Zp0waKxeLs7Pznn39CPoR4Cfv6CCGECikmJob0dehOj4GBQXJyMiSoCumEtW3bli4Aw8vLKyMjA3IIxN27d42Njenyd+jQQVgvdSKE8olu4wyIRXLq168PdURRQ4cOxUXP8hAbG1u9enW6rrS1tZctWwYJCCGEVOXGjRvsRa1z1LJlSz4/DxQXF3fgwIEcp74xMzMjF5opU6Z8/vwZcivT6dOnu3XrVqZMGfj47Hr06PH48WPIihC/YV8fIYRQIZ06dcrAwIDu/ZBOGMSq0G+//UZ/OqNJkyaQJijp6elNmzalD0FfXz8sLAwSEEJqhG7jDIhFLORkWLduXaggiho2bBgkoNxFRkbWqFEDqoyicLE4hJC8qKioBw8e7N+/38fHp1WrVuXLl4dTRgGZm5u7uLh07tx52rRpR48eDQgIUP0DNzyRmJi4ZcuW4sWLQ9XkxMTEZPTo0eHh4bCNcPj6+pLviZmZGRyJHGNj4/bt25Ovwb59+86dO/f06dOgoKD//DKkpaVFR0d//Pjx+vXrJ06cWLNmzZgxY5ifjXNUoUKFkSNHPn/+HHaBkHBgXx8hhFAhzZw5E7pCFHXz5k2IVZWEhARmsVaarq5uZGQkJAvNnDlz4DAo6sCBAxCLEFIj0MKlIBaxDBw4EGqHoiZNmgSxyjR//vwSJUrYKEG5cuUuXrwIH6NkERERtra2UHEUdebMGUhACGmklJSUo0ePNm3a1MrKSkdHB04NuSM9am1tbdKRlkfiZfrbOdLX1yfn0l69el27dk1wb5oWyI8fP/r378+8mZojUu379u1LSkqCbQQuJibmzp079FHn5+vElp8vD4NkJl+5smXLrlmz5uPHjxr7Ww5SG9jXRwghVBixsbHM5OnlypVT/YI/q1atoj+dMXXqVOHOPPD48WOm796tWzeIRQipEbqBMyAWSR08eBCqhqK6dOmSzyWvi+L58+cWFhbwkUrg7e2dkJAAH6ZkUVFRzDiIlZVVaGgoJCCENEBaWtpff/0lP9Eiw8DAoG7duuPGjduyZcu9e/c+fvwIWxZQcnJyYGDgjRs31q5dO2TIEHd3d/gAOdra2r169Tp16hRsKXCXL19u1qwZHFsuWrduTbLBBuouODj43Llzf/7558KFC/v3708qp0KFCpaWlnn/FEEy2NjY1KhRo1OnThMmTFi+fPmhQ4cePnyYnp4O+0VIjWBfHyGEUGF8//69XLlydOeJ9LFUNqZAy8jIcHNzoz+dRrr1d+/ehWQpkUj06dOnx48fP3ny5Pr16+fPn3/06BH5p7+/f2xsLGTiB9LRJH1Q+lhcXV0hFiGkRugGzoBYJEFu3aFeKMre3l41P+KGhYXJXEoUq0ePHir42YBx/Phx+GCKatWqlXo/ZIoQSk5OPnnypJ2dHTR7FgsLC09Pz02bNpH+uWoeRsnKyiKn8QULFlSsWJG9mDNNS0urdu3a9+7dI9lgAyFITEzcs2dPHtOqECYmJoMGDRLuK7YIIeXBvj5CCKHC+Pz5M/NgYLdu3VTcgfbz85OZM9HJyenDhw+kZ7xixQrS18/78QqGvr6+q6vr6dOnYb+csra2pktlaGgIUQghNUI3cAbEIolGjRpBvah8RpSMjIyUosnMzJwzZ47Mi/Pm5uZXrlyBz1AJUowRI0bAx1PUwYMHIQEhpEYSEhJ8fHysrKygqUvZ2NgsWrQoICAA8nHt+fPnM2bMkO+QlytX7vfff4dMvBQWFjZ48OC8byVsbW23bNmi4ueNEELCgn19hBBChfH69WvoclIU6ZVCrKpcuXIl7+dNCsHb25vb51Nq1apFl0RPTy8uLg5iEULqgm7gDIhFkkezdXV16Wpp2rQpxArHoUOH6MKz7dy5E5JVyM/Pr0SJEnQBKlSogJcShNRGcnLy2rVr6dbNIJ3hgQMH8n9NzufPnzdv3lxbWxvKLWFubv73339DDh64d+9ew4YNoXC5qFOnzrVr12ADhBDKE/b1EUIIFcbHjx+ZIe8ePXqoePJ0X1/fPBbtsbGx8fb2XrNmTY6P+ZD+9KBBg3Kbt1fFDySykWLTZcAn3BFSS3QDZ0CsxsvKymI/3v7w4UNIEAhy1YCis6xevRqSVa5Pnz5QCIrasWMHxCKEBOvu3bvOzs7QqiX09fV37twpxF/Uvn//PnXqVDgMKXIJCAoKghwq9+effzo5OUFRcjFixIhCz3qPENJYatHXJ3csGDBgwIBBtSGUospCL5TyoqgEuQxKDZvhk7MZRlFf5HLmET6ROxbY9Bc9inokl1MFIY2iYAZ3iqokl4oBAwaFBe5AC5eCWI13584dZgULVa4yqhB37941MjKiC8+YOHFiZmYm5FC5169f6+mRS9m/3N3dIRYhJEDbtm2Teb5k6NCh8fHxkCxkr1698vIiNxC/ODg4qGzF0U+fPk2ePBk+OBdlypRZtWoVbIAQQgWHA+4YMGDAgKEwIY6imLcuK1NUiFwGpYajFAWzD0hZUJS/XLb/DG8pygR28Iu3XDYVhOeskrSVS8WAAYPCAneghUtBrMZjT5KwcuVKiBWCN2/eODo6QtGlWrZsyflqpZUqVaILo6ur++3bN4hFCAlEVlbWtGnT2BOwWFhY3Lp1C5LViEgk2rBhg4GBARwnRZH//+OPPyBZochn+fv7e3p6ysxsI6Nq1ar37t3j8EdThJDawAF3DBgwYMBQyDAJuqb/uiWXqtRwhaJkZnA3LtST6VkUNQ528Es5ivosl1PZYQl8+L/2yqViwIBBYYE70MKlIFazJScnd+nSha6QYsWK3bx5ExJ4LzExUX60vXz58iQecnBn9uzZdHm0tLQ2bdoEsQghIdi4cSN7BeYaNWq8efMG0tTX+fPn2WdUc3NzEgNpRbZhw4aKFSvCrnMxdOhQ/qw3ixBSD+o74I4QQkjJjh07xixzN2PGDIhVCdInLlmyJP3RDFIeSC6InTt3wvZS1tbWT548gWSVyMzMbNGiBf3ppEpDQ0MhASFUFDKdQzpwh27jDIjVbBEREVWrVqUrpFKlSkJ5HDsjI8PV1ZUuNsPIyCgpKQlycOrq1atQJooaN24cxCKE+O3GjRvsh69dXFw+fPgAaZrhn3/+MTH59eqpo6NjoX9sCAsLmzp1ah4LPhG2trZLly6FDRBCSNFwwB0hhFAhxcTElC0LE7mbmZmlpaVBgko0aNCA/mjG+PHjs7KyIDnfli9fDttLlS9f/uvXr5CsEg8ePDA1NaU/vXXr1snJyZCAECoKmc4hHbhDt3EGxGq24ODgEiVK0BXi4eHBh8fD84P5iZRBLoLPnz+HZK59+PABiiW5pkAsQoiv4uLiWrZsCY1W8nz33bt3IU3zbN68mf3DA+neQ0I+3L9/v3nz5rBlLtzc3C5evAgbIISQ0uCAO0IIocJbsuTXVCjz58+HWJXYtGkTfLCUlpZWeHg4JOdPcnKyt7c3bC/VunVrkUgEOZQvMzNz2LBh9EeTQzh9+jQkIISKSKZzSAfu0M2cAbGaLTAwEKqDopo0aQKxPJaRkTFq1CgosZSent7x48chBw98//6dGa7y9PSEWIQQL504cYJurbTp06ershfKW+SKADUimXDs6dOnkCDn58+fBw4ckJ/ji42cpbt16/bx40fYBiGElA8H3BFCCBVJ8eLF6b6slZVVWFgYxCpfWlqajY0N/dGMOnXqQHL+TJs2DbaU0tXVvXfvHiSrxNu3b+GzKap58+Z4l4WQwsh0DunAHWjnUhCr2T59+qSnp0dXiCAG3BcsWECXlu3333+HZH749u0blIyiGjRoALEIIf7p06cPtFXJyqjklAgJSCw+e/YsVE1OK1LExcWNGTOGVBrkyImhoeHatWujo6NhG4QQUiEccEcIIVQkly9fhl4tRbVv3z49PR0SlO/z58+kJw2fLeXl5ZWfWXRTU1O7du0K27D4+vpCDpVIS0tjJqPX19d/+fIlJCCEik6mc0gH7tAtnQGxmi00NLRUqVJ0hdSoUSMuLg4SeGn9+vV0Udlmz54Nybzx+PFjKBxF9erVC2IRQnzy8+fPWrVqQUOVNNVCzIuo9sLCwipUqAB1RFH9+/e/c+cOs9R2bjw9PVXcn0cIIXk44I4QQqhIRCLRzJkzoYdLUevXr4cElSD9afhgFi0trVatWkVERECm7O7fv1+9enXIymJubn779m3IpCrdunWDj6eoAwcOQCxCSCFkOod04A40dSmI1WwxMTH16tWjK6RChQqfP3+GBP7Zs2cPs044Y8iQIar8mTmfjh8/DuWjKB8fH4hFCPFGXFycmZkZtFKKmjNnDiSgnHTo0AFqKnf6+vrt27cXysrbCCFNgAPuCKFsoqOjL126tHz58j59+tSuXZt59ragTExMnJ2dGzduPGzYsE2bNvn5+eFEGWosJSXF09MT/vYUdfLkSUhQiZCQkHLlysFnF9bSpUthd6qSlZU1a9Ys+HiKGjduHD7ZhJCCyXQO6cAdaO1SEKvZyHlvzJgxdIXo6uqq+PKRf3fv3jUyMqLLyWjUqNHPnz8hB58MGDCALqGWltbRo0chFiHED8HBwcx8jAQ+i/2fMjIyfHx8oL6yMzU1Xbly5Y8fPyArQgjxBg64I6TRQkJCTp8+7eXlBX2W3Ono6JAOjaWlZYkSJUrLcXJysra2trCwMDY2hg1yp6+vP3r06IcPH0ZFRUE5kPCRrrCtrS39J9bT0/vnn38gQVWio6P79u1rYmJClyE/jIyMvL293759C7tQrdWrV0M5JFPxQCxCSIFkOod04A40eCmI1XgHDhyAGqGoKVOm8PDn+dDQUPln2+3t7RMTEyEHzzCXQgMDg7S0NIhFCPFAREQE856llpbWsWPHIIEjKSkpX7588ff3P3Xq1LZt25YuXTpy5MgdO3Zs2rTp2rVrHz58iI2NhaxcGzduHF1vNM6rDiGE8oYD7ghpnIsXLzZr1szU1BR6K9mR+M6dO2/ZsuXJkychISGF7mOlp6fHxMR8+vTpzp07ixcvZi80L6NkyZL9+/cPDAyELZFgkW9LlSpV6D+rvr4+6bhDgsqR2wPyPZ89ezb5ajVo0KBy5co1a9bs3bv34MGD58+ff+PGDc5fOJ0zZw5dUYS7uzsPZyRASB3IdA7pwB1o81IQq/Fevnzp6OhI10mNGjX49qBiQkJCjovy5TZrGecuXLigo6NDFxJ/zUWIV1JSUtq1a0c3T9JOt23bBgmqlZycPH369NKlS9MlyQ+SefXq1bA9d9hj7mPGjIFYhBDiJRxwR0gjXLx4sWnTptA9YbGxsenTp8/evXtJxwuyKl9gYODatWvbtm2rr68P5WAZO3YsDr4L17dv38qWLQt/S4qaN28eJCCpzMzM7t27QwVJlniFBISQwsl0DunAHWj2UhCLxOJ+/fpBpVDUkSNHIJYH4uPjXV1doWRSRkZG9+/fhxz807hxYygoRT158gRiEUI8MH/+fGicFEVuwSBWhfbs2WNgYAAlKJT+/fuTrizsTuXIR9euXZsuCTkQXP0IIcRnOOCOkNpKTU3dvXu3paUl3SlhFC9efMGCBTx5PVAkEn3+/Hno0KHFihWD8klVr1794cOHkA8JCnuSopYtW3LYL+cb0irZP0hMnDgREhBCyiDTOaQDd6DlS0EsEovfv3/PTElnZWUFsVxLTExs3749XSqGvr7+/v37IQf/HDt2jHmaoXPnzqp8nAIhlLezZ89qaWnRzbN8+fIqXrnnxYsXOc78SSKnTZsWGBgYHx9Pzhjk1iwtLY2c/cLCwv766y8HBwfIx6Ktrb1161bYr8q9ffuWmcSSFI+rmSERQug/4YA7Qmro6tWrpBtHd0QYo0aNevPmDeTgqytXrtSpUwdKLNWhQwfS54McSCDYj/CYmJjcvHkTEjTY/v37yS0KVApFHT58GBIQQkoi0zmkA3eg8UtBLJIYNmwY1AtFTZ48GWI51bt3bygQC7m6QTL/xMTE1K1bly6noaEh6Q1CAkKIaxkZGcyj2cSHDx8gQSV27NjBzDTFqF69enh4OOTIXVxcHPu9GcbevXshh8pt3LiR6VFPnz6dhyt/IIQQgQPuCKmP+Pj4Pn360J0PmoGBwcyZMyFZUL58+dKyZUs4DKktW7ZAMhKCd+/e2dnZwR9P8qj7z58/IU3DkLbp4eEBFUFRbm5uuGIwQqog0zmkA3fgFCAFsUgiOTm5WrVqdM2YmJicO3cOEjgyatQoujBso0ePhmRemjp1KhQU36BCiGd8fX319PTo5jl48GBVLt5z69Yt+Wk8e/XqBcn5M2LECNiS5dmzZ5CsWikpKRUrVoRC8HhFDYSQhsMBd4TUQXBwMLPePa1x48Zfv36FZCEjt9w2NjZwVJLV/MePH48rTArIihUr4I8neQV12bJlkKAZUlNTBwwYAMcvgdNNIqQ6Mp1DOnAHzgJSEIuk/Pz8mPnlXF1dOXy5beHChewXkmidOnVKS0uDHPxz4cIFKChF2dnZpaSkQAJCiGsJCQnMg0Smpqa3b9+GBOUjN039+/enP5pRvHjxgp4iRCJRixYtYHspe3t7SFa5zZs3QyEoauTIkRCLEEJ8ggPuCAnby5cvy5QpA90NiSVLlkCaGgkPD2/VqhUcoUTr1q3j4+MhGfFbdHQ0e81efX3948ePQ5pamzt3LhyzRL9+/XA6e4RUSqZzSAfuwLlACmIRy++//86MdHt6enIywH348GG6AGweHh7kWgY5+Of06dNGRkZQVilDQ8Pt27fjMwoIce7du3dMC23YsKEqF1cgJy4TExP6oxldunSB5IK4fv06Mwc9jXTpuXob6efPn8zFwtraGmIRQohPcMAdIaEi/SdyL0r3MwjSl/L19YU09TV+/Hg4YIkJEyaoeMUhVGifP38uV64c/OUkfvvtN7UcgCb3UeSbCQcpUa9ePY2dTgchLsl0DunAHTgjSEEsyo5cGqCCKKpSpUoQqyqpqanNmjWDj5fq0KEDn8/hV65cMTAwgLLmhFx8r127BrkRQip38OBBaI0UNXXqVIhVifDwcPhgljVr1kByQXz79q1q1aqwC6mePXtCsso1b96cLgM5AarypQGEEMonHHBHSJBkJqnYsGEDJGiA5OTk7t27w5FTlI6Ozv79+yEN8d6XL18qVaoEfzyJtm3bxsbGQrLAvXv3jr0iFuHt7R0TEwPJCCEVk+kc0oE7cF6QglgkZ8mSJVBHFFWxYsX8LOunsdgzyVhZWfXp00dXVxf+Ladly5avX7+GLRFCqsLcuBkbG6t4NeMfP37IT5DVqlUrSC6IrKysvn37wi6kPD09U1NTIYdq/fnnn3QZtLS0Fi1aBLEIIcQbOOCOkMDcu3fP1NSU7l4Qo0aNggQNExUV5erqCrUgWWdfla9noiKKiYnp3bs3/PEk9PT0Fi5cCMlCQ76N8svrTZo0CZIRQlyR6RzSgTtwdpCCWJSTP/74A6pJMmvBu3fvIAGxzJgxA+pI8qZjSEgIHf/p0yfm2U955II7dOhQ7DUhpDLMezMWFhYfPnyAWJVISkqqV68e/ekMa2vrwj3sMmzYMNiFVKVKlZgzj4pdv34dCkFR5JwGsQghxBs44I6QYIhEoh49ekC3gqJKliz58uVLSNNUO3bsgOqQPN1A/gkJSCDOnDnj4OAAf0IJHR2dmTNn/vjxA3LwWFBQUL9+/aDcUhUrVnz+/DnkQAhxS6ZzSAfuwGlCCmJRLm7fvs2eL3jz5s2QgCRT37Rr1w6qhqLc3d1znPTm/PnzlStXhkxyzM3N165dC1kRQsqRlZXFLLhlY2Oj+jWotm3bRn86W926dQsx5j579mzYXsrJyYmrG9L3799DISRvlEIsQgjxBg64IyQMYWFhLi4u0KegqIkTJ0KCxiOdRfZc9sOHD4cEJBzJycmrV6/W09ODv6JUrVq19u3bB5n4ITMzc9WqVdWqVYMiSpE7qL179+KKAqhArl27Rr7h5Hzevn37OnXqVKpUqWTJkvb29hYWFrq6uqRFMPT19cl3jCQRVapUadCgQffu3RcuXEg2f/HiBewOyZPpHNKBO3C+kIJYlLuoqCgnJyeoL8l6GIL4OVbZyKkDakQiPz2fDRs2WFpawgZy7Ozsrly5IhKJIDdCSHFI59DMzIxua8WLF+dkLehBgwbRBZDh4+MTEREBmXJCCk8yHDt2zM3NDbbJztHRMSAgAHKr1ufPn5kfZRs3bgyxCCHEGzjgjpAA+Pv7Gxsb0/0JDpeD57OePXvS9UPUrFkzKSkJEpDQ7N27N8c+fY0aNTZu3EjaAuRTFXKn8eDBg1WrVjk7O0NRWEj//sqVK5AVoVxERkaeOXNm7Nix5cuXh6+O0lSvXn3OnDk3btxIT0+Hj9dkMp1DOnAH/khSEIv+y+LFi6HKJDT5Ufe0tDT2hGxGRkYFeqcqKipqypQpsHFOyEXt7du3kBshpAgikYh5UMPKyio0NBQSVIs9T5c8XV3d0qVLV6xYsW7dumXLli1TpoyNjQ2k5aly5cpcHdGrV6+gEBTVuXNniEUIId7AAXeE+O7mzZvQlZBM/Kf6AUeh2Lp1K1STZMyd3FVCAhKmxMTELVu2ODk5sacUoGlra5uamjZt2vS33357/fp1fHy8QsYW09LS4uLiHj9+vHDhQjc3N+ZXLjY9Pb0qVaocPXoUZ79FeSBfjytXrnh6ehoaGsJXJzsDAwNy1+3t7T1//vy///47MDAwISGBbEW+ybl9mckdO52alJREvvN+fn6HDh2aMmVKnTp1ihUrpq+vD7vOjnyNW7duTS4cnDxSxz2ZziEduAN/FSmIRfkQHR1dqlQpqDjJS0XXrl2DNI2xYsUKOH6JoUOHFrpdBwUFtWjRAnaUk1GjRoWFhUFuhFDRtG3blm5ZZmZmT548gVgubNq0SWYux3wiHeB2EjLdctIJ4aqDcfHiRSgERY0fPx5iEUKIN3DAHSFee/jwIfMSoqmpKQ4i5+2PP/5gFuKvWLEixCLhS01NvXnz5uzZs9kDLjkyMDAoWbJkzZo1mzZt2qNHj34SQ4YMWbZs2cKFC+l/El26dCEZqlatSjLDlrlzc3NbuXLlvXv3oDQI5YLcx5I7T/jeZNemTZs9e/Yo+9FRkUj09OlTUgwPDw/44OyaNWt29OhRyK0JZDqHdOAO/BmkIBbl29mzZ4sVKwbVR1HOzs4aspjqrl272L/eubq6RkZGQlrR3Llzp2zZsrBfORYWFuTqCVkRQoXFvFmir6+/f/9+iOUO6S2Qk+fBgwd79+5tbW1Nl00GuZMaNmzY4cOHP378mJGRQW84duxYSJbi8NHyBQsW0GUgd38bN26EWIQQ4g0ccEeIv96+fcuMtpuYmKhgRZrU1NQrV65cULSbN2+qbNJV0t+ia4yoW7cu00FE6ufOnTukq92qVSsXFxcjIyP4qxeBqalp1apVO3XqtG7dumfPnsHHIJSnkJAQ+TXEiOrVq69fv57zOZFjY2OnTp1KbpuhWFKkyaxZsyY6OhryqSuZziEduAO1LwWxqIDWrl0LNShRokSJ8+fPQ5p6IX2YOXPmwHFK2NjYKOnx2E2bNpGahI+R4+zsfPLkSciKECqg69evQ1uiqD59+kCs0MTExDRq1AgOQ0JPT++ff/6BZJWrVKkSXQxjY+NPnz5BLEII8QYOuCPEX8yK9ubm5nfu3IFYpSH3dba2tvQnKoPKVvZbt24dfCRFTZgwAWKRZhCJRD9//oyKioqIiPj+/ftniffv3586derChQv0P4lwidjYWJwZBhVOenr6lClTyK0mnGskjIyMVq1aRb5XkIlnSKMgZdbV1YXiSpiYmPz555+QQ/3IdA7pwB2odCmIRQVHTvUbN240MDCAqpQ8N7pw4ULSMCGHwJErVMeOHeHYJJydnVXQj0pJSfnf//4nc2Zjq127NrmkQm6EUP58/frV0dGRbkTVqlXjatLzIrp7967MfDKlSpWCNJV78+YNFEKyzhPEIoQQn+CAO0I81bVrV+hEUNS6desgVpkyMjJye6lQIW7cuAGfpGRpaWns2jtz5gwkIIRQkZ09e7Z06dJwfpGoWLHioUOHIFkIsrKytm7damVlBQcgUatWrYCAAMihNmQ6h3TgDtS1FMSiIiDtUabr4uLiwuETl0W3bNkymRVEvLy8goKCIFlV3r9/LzPiL6N///4qe3kRIaHLzMwcPnw4NB6K+uuvvyBBOMghODs7wwFI7dmzB5JVbvDgwVAIilq7di3EIoQQn+CAO0J85Ovry6yA17t3b4hVvoSEhL17927fvn1HEZBOpKurK114RtmyZVX53NnXr1+Zyb4tLS1TU1MhASGECoXcav7222/0WYVmamoq9NmNU1JSRo0apaOjA4ckWQXh4MGDkKwGZDqHdOAO1LIUxKIiS0tLGzhwoMzbG05OTkePHiVfcsjEYxEREQsWLJApP+m97Ny5E3Jw5+7duy4uLlAmOXp6eitWrPj58yfkRgjl4vbt26RR0w2nVq1a8fHxkCAEWVlZDRo0oAvPIGctSFa5ly9fMlNgkVN9YmIiJCCEEJ/ggDtCvBMXF8dMkGdqahoYGAgJAjF//ny68AzSv1TZfDKMNWvWwMdT1IwZMyAWIYQKKCMjg/1gGlGlSpXg4GBIVgv37t2zs7ODw6MoHR2d2bNnQ5qgyXQO6cAdqF8piEWK8/TpUy8vL6hfKWtr6wEDBnz48AEy8cbBgwcbNGjALPbOmDBhQkREBGTijX379llYWEAR5Tg7O/v6+kJWhFBO+vTpAw2Gog4cOACxvEc6PMxs6YyePXtmZmZCDpUbPXo0lENQNYkQ0jQ44I4Q75w+fRp6EAKcgpzcj0HRpQwMDLia1IV5kKRYsWKRkZEQixBC+bZgwQL6NELr2rVrTEwMpKmdz58/161bFw5VMuy+Y8cOSBMomc4hHbgDNSsFsUgJQkNDBw0axJ7knaalpTVmzJizZ89+//4dsqrQ69evd+/e7e7uDqVhcXJyWrlyJeTjsaysrEmTJuWxUHmdOnX8/PwgN0KIJTo62szMDJoKRX39+hUS+Co8PJz9IwGje/fukIML5L4SykFRzZs3x8fbEUK8hQPuCPELuZNp27Yt3YewtrZ+9OgRJAgB+6cCBrm3hGSV2759OxSCogRxH4sQ4o9Tp06xFwfz9vbWkMmpvn//zh4QNDY2fvjwIaQJjkznkA7cgTqVglikTD9//iRdqXbt2kGlZ1esWLHq1atPmDDh3LlzCh+1IU1px44dXbp0KVWqVI7LkJqamk6fPv3r168ikQi2EY6wsDCmvypPR0eHHHhcXBzkRghJPH78GBqJZPVUlU3HNGbMGCsrq3Llyo0ePfrWrVvkfhMS5JDT0ZkzZzp16mRiYgIFZTE0NLx69Spk5UJkZCRzOi1RosSnT58gASGE+AcH3BHil+TkZGYST3ITCLFCcO3aNdIJo0vO4HaYOzg4mJmbuH379hCLEEJ5iomJqV27Nn3qIBwdHVW/YiHn/Pz82Kuqdu/ePY/7c/6S6RzSgTtQm1IQi1ToxYsXS5cubdq0KfwNcmdhYVGnTp0uXbqMGDFixYoVpD9DrFmz5u+//969ezf9T2LKlCmDBw9u1apVxYoVmdV3cmNra9uzZ8+dO3eq00j0nTt3PD094QjlkG7YggULOJx6AiGeIK1g69atFSpUgLYh0a1bNxWsM5GRkdGmTRv4yMKytrbm6pVlRkREhI2NDRSIos6fPw8JCCHESzjgjhC/HDlyBDoRFDVr1iyI5b03b96QfhiUW2rIkCHc3mIlJCQ0adKELoyzs/PHjx8hASGEcnHgwAH6pEFoa2vzYdFCDk2bNg3qQjIXx+3btyFBKGQ6h3TgDlSlFMQi7qSkpJAOzMqVK5s2bWpjYyP/3EDh6OjomJmZOTg49OnT5+DBg+Hh4apcN54TIpHor7/+YpYxlEd6iYcPH8aRd6Rpfvz4MX78+BzfcaENHz4csirTyZMn2T+i5xPpBdna2q5atYoPq0+TmmS/fkfOJ5CAEEJ8hQPuCPHL5MmToR9BURcvXoRYfiOdMPm3Dj08PPjwOCQzWkTuou/duwexCCEkRyQStWzZkj5jEJUqVUpISIA0DRYYGGhqagqVQlHLly+HBEGQ6RzSgTtQiVIQi3gpNjb2zZs3t2/fvnLlyvHjx3dL+fj4LFmyhP7/vXv3njt37urVq/fv3w8ODsaphImkpKR58+bBVzwnnp6ewvvpDqECunHjBrtHkbdOnTrBZsoXEhJy7dq1nTt3Tpo0qV27di1atCDlpJF/kvtQcpU/ffr027dvefVaW1xcXJUqVaC+KGrFihWQgBBCPIYD7gjxS69evaArQVEBAQEQy2NpaWmlS5eGEkuVKVOGJw9zrVmzBspEUWfPnoVYhBDKLjY2tlq1anCyoChyzwkJSDLXmbe3N1QNRZHbckjgP5nOIR24AzUoBbEIqaOIiIhOnTqxV8KQ0aNHj2/fvkFuhITv58+feb/nQZiYmAwcODAyMpLk7927N8RSlLu7uxovyV5EHz9+ZOYIJZYsWQIJCCHEbzjgjhC/sCcOjoqKgli+SktLa9GiBRRXysrKij93UHv27IFiUdSuXbsgFiGEWH78+KGtrU2fKMhNHTlvQAJi8fHxoauIUOVSb0Ui0zmkA3eg+qQgFiG15u/v7+bmBl96OSYmJtOmTRPkEhEIScTGxo4fP97CwgK+0zkxNTXdvHlzdHQ0bCMhEomWLVsGOSjKzMzsy5cvkIakfH192aPt165dgwSEEOI9HHBHiF+YOccJng+4k7ujkSNHQlmlSGfxxo0bkIMHSO8WSkZRR48ehViEEJIKCQkpWbIknCYoivM1wfhs586dUE0U5eXlJYAJNGQ6h3TgDtSdFMQipBkOHDjg4OAA33451tbW+/btg6wI8d6DBw/atm0LX99cNGjQ4D87FRcvXoTcEhMnToQEjScSiTp27Aj1IjFhwoTv379DMkII8R4OuCPEL8OGDYM+BUU9ffoUYnnpf//7HxSU5cSJE5DMD4sWLYKSUdTly5chFiGEJCIjIytXrgznCIq6fv06JHDk7du39+7dO3jw4P79+5cuXbp58+a//vrr5MmT7969gxxcmzt3LlQWRTVq1AhieUumc0gH7kDFSUEsQprk58+fpG/GfmRVRrVq1R4/fgy5EeKTrKysPXv22Nvbw5c1J9ra2n379v369Stskw8JCQmtWrWC7SmqRIkSr1+/hjRNdfr0aSMjI6iR7Ej8mDFjcJUdhBD/4YA7QvyyfPly6E1Q1N9//w2x/MN+BZKxY8cOSOYHkUhEOmR02Ujn7MGDB5CAEEISrVu3pk8Rurq6x48fh1gVevfuHXsW1/yYNm2azGvpKjZ9+nQoCkWRcyzE8pNM55AO3IFak4JYhDRScHBwv379oDHkpEePHoGBgZAbIe6Eh4fPnDmTvX64PFtb2xUrViQnJ8M2BXf69GlmdjvC29s7Pj4e0jTJx48fXVxcoBb+y/Dhw4OCgmBLhBDiGRxwR4hfHjx4AD0Iiho4cCDE8syhQ4d0dXWhlFLTp0/n2xSc0dHRzIr2rq6uoaGhkIAQQtl/OBw7dizEqgQ5W7KXyC4EcnKLi4uD3akcs4YquRYcO3YMYnlIpnNIB+7QlcaAWIQ029u3b0knDVqFHC0trVmzZuHTrEj1Xr9+zX7wPEdVq1a9evUqbFBk7EeFaJMnTyaRkKzu4uPj69atC0cuafvLly8n8RkZGeQkkMcPHiTngAEDwsPD6f0ghBBP4IA7QvxCuhRWVlZ078HFxaUoD0ooyePHj+nisXl7e0Myn7x79w7KR1F9+/aFWIQQEotv3LhhaGhInx/IyRZiVYI91RUbubHfs2ePzOodWVlZp0+f7tGjB2TKzsfHJy0tDbKqUFBQkKOjI10GBweH4OBgSOAbmc4hHbhD1xgDYhFCEidPnrSxsYHmIYecarZv3w5ZEVKa3bt3V61aFb52uRg8ePCrV69gA0Uj3YBGjRrBJ0kMGjSIh7eEChQeHs4eaidGjRoFaSwxMTG59aBoWlpa/fv3x3neEUI8gQPuCPGLSCQaMmQI3WkwMTG5cOECJPDDy5cv9fX16eIxypUrB8k8M3v2bLqEOjo6u3btgliEkMbLyspi1jojt2cqmyGdnOHlJ5AhBVi5ciXkyNPy5ctJZthMaty4cZCsWn/++SdTmIULF0Is38h0DunAHbq6GBCLEGIh50lySiF9YGgnclxdXW/fvg25EVKE0NDQefPmyV9h2ezt7efPn6+y580jIiJq164Nny3RoEED9Ztk6fr166VLl4YjlBgwYMB/PkmQkZExbdo0CwsL2CYnQ4cOLdBM+gghpHA44I4Q7/j5+TGD2j179uTk6cUcffnyhXmkkVGuXDluZxPOTVxcHLMkV6lSpfg23Q1CiEPkBo85P/Tv35/cuUGCkjG/ArLduXMHkvPh0aNHsBnL+vXrIVmFUlNTnZ2d6QKQyuTpVLMynUM6cIeuLgbEIoRy8v37d+YZlBx5e3t/+/YNciNUcO/fvyffIvl5MtmqVKly6dIllfUTZCQkJAwbNgyKImFgYMDVy20KRFp3u3bt4JAkSEdi5cqVBb1fIzehixcvhl3khNxT9+rVi5/3qgghtYcD7gjxDulq9OnTB7oJFMWTpT7j4+MrV64MZZKysbF5+fIl5OCZQYMGQSkp6tChQxCLENJ45LaZmT/d2Nj42rVrkKBkiYmJZmZm9OcyZs+eDcn59ueff8LGUg4ODp8+fYJkFdqxYweUgKKmTp0Ksbwi0zmkA3egsqQgFiGUJ39//wYNGkCzycnMmTNjY2MhN0L/xdfXl1nkKTfdunV78eIFbMADR48edXJygsJJmJiYLF68OCIiAnIIwevXr0eOHAkHIFWrVq2i3+2mpqaS80Aeb8YQw4cP56SzhBDSWDjgjhD3MjIy9u3bV6ZMGdIV0NfXj4qKevToETMu4+DgAPk45eHhQZeHoaure+7cOUjmmYsXLxobG9PlLF++POmEQQJCSOPFx8ebm5vT5wdPT0+VPbZ2+vRp+Sm5/Pz8IDnfgoODK1asCNtLbdy4EZJViJxa4eMpqkKFChDLKzKdQzpwBypLCmIRQvmQlZV14cIFZqEjeaamprt27crMzIQNEGJJTEycOXNmHgtvEkZGRosXLyY5YRv+SU5OnjVrlp6eHpRYgvyzVatWz5494+eXPy0t7cqVK1WqVJGZsYf8Lfbv36/wMpM/39y5cw0MDOBj5JDq6t27t8x6OQghpAw44I4QZ06dOtW8eXO4+LOYmJi8fv1627Zt8G+K6tGjB2zDEWayY7ajR49CMs+Eh4fLL7qlr68/duzYsLAwyIQQ0lQXLlyA84Jk0VGIVb7t27cz89jQyD+DgoIguSDkJ4Jv3br1z58/IVmFyOfSBbCysnr+/DnE8odM55AO3KHrigGxCKGCyMjIWLFiBbPqtbzq1aufP38eciPN9ujRoy5dusA3IxceHh68vanJTVJS0tq1a62treEYWDp37nzy5EnIx5HMzMxdu3Y1bdoUysTi5ubm6+sL+ZQpISFh3rx5Mj9OyBg8eDBOS4UQUh4ccEdIpQICAuQHSuQ1bNgwKiqKmRRFW1t706ZNsAvVysrKmjx5Ml0MttWrV0MO/smx98lWr149nkzUgxBSvZkzZ9KnAh0dnUuXLkGs8p06dUr+Cffjx49DckGQMzBsL1W2bNmQkBBIViFmVhlyndq+fTvE8odM55AO3KHrigGxCKFCiYmJGThwYB4TcHt7e3/48AFyq6PMzMyEhIQ4CXIJ+PbtG/kvIzQ0ND4+niTx+ZFtZUhNTT137lz58uXhe5ATcjlu2bKlenw9Hj9+3LFjR0tLSzi27Mhh+vr6fvnyRXlLrURHR3/8+HH9+vVubm7wqdnZ2toOHz48ODgYNlAt0kxIx495tTFH5KabNBnYACGEFAQH3BFSuvDw8JEjRxYvXhwu6bkgGXbv3v3jxw/YTPLLfMOGDelULS2tw4cPQ4IKrVq1ii4AG7m94e0apI0bN4ZSUpSXl5f8o+5sjo6OXP2SgRDiSrdu3egzALnffvfuHcQqX2JiYrFixeiPZnh7e0NyQWzYsEHm1WwLCwtyuwvJKnTmzBkoAUUtXboUYvlDpnNIB+5ATUlBLEKoaJ4/f57js7Q0XV3dMWPGCHrQ+enTp2vXriUXr5o1azo5OeU9UXXeyLbOzs4eHh49e/bcvn27Ov0gkZaWNnPmzJIlS8Kh5kRPT2/x4sVq/MLrs2fPyLU47x8bHBwcPD09SfeDtAvyvTp37hzpC+X9klxERAT5qvj6+q5Zs4bcBpJt3dzcSpQoAXvMibu7O+mr8GrO9Ojo6EWLFkH5cqKjo9OvXz9y5w4bIIRQ0eCAO0JKERkZuXLlSjs7O7iA54L0VKZNmxYaGgqbySE9gwoVKkBuirp69SokqIqPj0+tWrVIn4moXr26l5cXb0eoMzMz2ev4z507FxIkQ0J5L7dFjB49mpPhKoSQijErUhgaGiYkJECsSsybN4/+aLbu3btDcr4tW7ZMZnYa4tWrV5CsQuTeHj6eoiZMmACx/CHTOaQDd6CmpCAWIaQgx48fL1euHDQwOQYGBlu3bk1LS4PcvPTjx4/r169Pnjw5j9nqGeSIihcv7uTkVLFiRdJdJ1c3GaQ2HB0dSR5tbW3YJnfOzs6k83z37l0VXxmL6Pnz5//59rCrq+uhQ4dgA01CbiQ3bNjQuXPnatWq5f2Id1GQ+1nyZSN/hcOHD4tEIvhsHsvIyCA34Hk/DDd06FD1fj8GIaQCOOCOkMKQ7inpZ+T9TAFhZmbWo0ePwMBA2Cwf7O3tYWOKWrhwoSC6MipG6qRRo0ZQRxQ1bNgwSMguKiqqX79+zHqqOXJzcyM3G7x9hB8hVETkxptu7IaGhiqe95zc45H7XvrTZfTq1ev9+/c5lic5OTkiIuL27dt9+/aVn5SGpqWl9fr1a9hAhQICAqAEFDVy5EiI5Q+ZziEduAM1JQWxCCGFIifSjRs35jHVjLOz88WLFyE3D3z58mXEiBF5PJpNbi7GjRt35syZT58+xcTEkIsCbFlwZFvSGSa3IUePHh0+fLitrS18hhxy9zF+/PjY2FjYkmdOnDhRuXJlKGsu2rZty8mVkc9IPyQsLOzr16/+/v7kOzBnzpzevXu7u7vXrl0bak2OhYWFp6cnyTBkyJBVq1b9888/b9++JXv48eOH0G+XyM372rVrc+tZEeQ00rp1a64mw0EICR0OuCNUVOfPn2cmfslDu3btbt++DdsUUFpaWsuWLWFHFNWvXz9IQBLkRsXBwQFqR/KbBCTkLi4ubseOHXnP9u7k5ES6lbABQkhdMOt8klssTh5f2r9/P10ABbK3tyd3v/ABKnTjxg0oAUUtWLAAYvlDpnNIB+5ATUlBLEJIOWJiYkaNGgXtLSfkcvDixQvIrVofP36cNGkSlCM7clsxZ86cu3fvQlZVuXLlytSpU2vWrAnlYDE1NZ07d25ERARk5Qj5gy5fvlx+cjY2CwuL6dOns6foROg/ZWVlrVixIrd58Gk9evTA328QQgWCA+4IFcaDBw8GDx4Ml9/c1a9ff8+ePbBNkbHnSylRokRQUBAkaLYjR45ApUiGz27dugUJ+UZuMNgzv+do+PDh2MdCSD2MHTuWbte6urqFOGMoyr1791q0aEGXJP9q1qy5fv3648ePm5qaQpREjRo1OBlfOHToEF0ALS2tLVu2QCx/yHQO6cAduq4YEIsQUrL379/n8XCMjo7OyJEjVfMot7+/f61atWQW4TAwMGjUqNG1a9dSU1MhH9fS0tJI97hevXqkbFBKCVJX3t7eKp6D8fPnz506dcrjlQXCwcGB3BGkp6fDNggVCvnmr169Oo/pd7S1tdu3b4/PvCOE8gMH3BHKr8jIyFGjRv3nOkW2trabN29W0tJMN27cYM/bO2/ePEjQSBkZGZ6enlAXFFW5cuWoqChIKxSy+YgRI2RuLWS4uLjcvHkzMzMTtkEICc2+ffugPVPUsmXLIJY76enpCQkJfn5+S5YsWbRoETkLeXt7t2vXbtq0aQsWLNi5c2dQUBC5prBf3JZfNHXo0KGczDY2aNAgugBmZmaqX2Xkv8l0DunAHbquGBCLEFKVU6dOsddGklGsWLHffvsNsipUSEhIly5d4GOkKlasSK5HpDcLmfiKXID++OMP+QmvyW1RUlISZFKCI0eOsPv5OerQocO9e/dgA4QUJyUlZc2aNXlPQ0oaNc7zjhDKAw64I5SXnz9/Lly4MI+uOc3AwGDu3Lnv37+HzZQpOTmZdC7hgyUvTqr+nVM+WLFiBXsBqI0bN0KCIqSmpu7atYs9TY08e3v7xYsX46M0CAnOjx8/oBlTVKNGjSBWODIyMjp27AgHIGFkZHT27FlIVi3mR+jSpUvz8ZdImc4hHbhD1xUDYhFCKrdu3bo85hW0s7O7cuUKZC2aTZs2wU6lXF1d/f39IVlozp075+joCEciQa4CJ06cgOQii4qKWr9+vaGhIew9J5aWlhMmTFDxEixIky1btszGxga+fznp3LlzgZZnQwhpCBxwR0hWXFwc6Tj+5yC7ubl5165duZpmxM/Pj/2kCem7h4SEQJq6O3bsGBy2RP369cPCwiBNCR4+fOjl5QUflov+/fu/evUKNkAI8VtqamqzZs3oxuvg4CC4xvv48WOZR66qVasGaap17do1KIHkNAixvCLTOaQDd6CypCAWIcSRiIiIiRMnQoPMSd26dd+8eQO5CyI5OXn48OGwFwkDA4Pdu3erx5r8SUlJK1asgAOT0NPTmzNnDiQX3OfPn7t37573O6YlS5YktwBFWTAWoaJISEj4448/8v6Wtm/fnpMFdRBC/IQD7giB27dve3h4kP4iXDBz0ahRo4cPH/Lkuea9e/eyJzSsVauWel/jjx49yp7Sx8HBQZU/eERGRs6YMYP9WL28ChUqcPWcKUIo/5iZx4klS5ZArBCQq0/lypWh6FInT56EZNVq0qQJlICiuFp48D/IdA7pwB2oLCmIRQhx7d27d61atYKWmZNRo0Z9//4dcucpOjqaWZqbVrt27dDQUEhWL48fP3ZxcYHjlOjZs2f+x8QvXrxIbr5gy1y0bNkSJ41BfLNs2TL5SZbYevXqVbjf6hBC6gQH3JFGu3379sCBA+HCmLs6deoocO1ThZs3bx4UVMLBwYEcF6Spi0WLFsHhSZiZmXF7jHv37q1SpQqUJifFihUjf5f4+HjYACHEJzExMbVq1aJbq6WlZXh4OCTwW3JyctWqVeliMxYvXgzJqnX69Gnmrf8ePXpALN/IdA7pwB26uhgQixDijZs3b5YuXRqaqBzS//ztt99yWzAjMzOTWZSb1qdPHyWt6sQr379/9/b2hmOWrKGdxypTpPaWLVuWx3w+hLa29sSJEyMiImAbhHiJtO41a9bo6+vDF1eOrq5umzZtNOc1dHlZWVnk/HD8+PG5c+cOGDCgQoUKjo6OpPmbmpqS0ynpRpLThQxSnySJZLCysnJwcChXrhzpZM6YMYPcfb99+1Y9XhJCmgMH3JHG+fz5Mzll/+eT7E5OTosWLeL/QkaMgwcPyqyoPmbMmJiYGEgWpoCAgBo1asDxSFSrVo1cayGZB169etW8eXP2SrbySE8LJ5xBiG/++OMP0q2nG+nQoUMhlseOHDkiP63trFmzIFm1yE0mMy0PuZ8k52pI4BuZziEduEPXGANiEUL8s3HjRktLS2irckqXLv33339DVgmZudpbtGgRFxcHaZrh06dPrq6ucPwURfrGR48ehTSxmPTeZebYkVe2bNlt27bBBggJR0ZGxsqVK4sVKwZf5Zz06NGDV/ewyuDv779q1SrSPzQzM4PDVhrSh/f09CTd4Js3b8LHI8Q/OOCONEJqaurChQudnZ3hDJ0LcuKeM2fOx48fYTMBevXqlczzjzY2NsKaMIEICwvr3r07MxZGGzNmTFRUFOTgH1Jm8h2TKbOMChUq/PXXX7ABQohr7CfyDh48CLH8Q84tpqamUFCWffv2QQ6VW7ZsGRSCohYsWACxPCTTOaQDd6DKpCAWIcRXKSkp48aNy+MJ1tq1a1+5csXNzQ3+TVGVKlUSyltTyvDkyRP2VBs1atSQnwaNTVtbm9Th48ePYXuEhOw/R97JrWKnTp2CgoJgAyETiUQhISGkE0j6qDnOuUoizczM7OzsyH39mjVrzpw58+3bN3JSJbWUJQE7kkP2TFJJttTU1Li4uEuXLm3dunX48OFlypSxsLDI7blJAwODvn37BgQEpKWlwY4Q4hoOuAvEu3fiY8fEc+eKvb3FNWuKjIxkjzcfQaSlJapQQdyokXjyZNHu3WLSs+HHRORKQk61e/fu/c+ZAckpu3fv3n5+frCZuiCXJXJBgoOUGjJkyPPnzyEH/5w9e7Zx48ZQVqmaNWvevXsXcgjEgQMHqlWrBgeQE11d3dmzZ+dzMlCEkJJ8/vwZ2iRFkfsBFfzampiYyF7v1N7evl27duReZcOGDUePHiW3IuQ0+Ndff5F/klMEua+AfHL69evH4QtYjx8/hnJQlKenJ8Tyk1xf6N/AHag1KYhFCPHe69ev27dvD003F6R39+eff8IGmm369OlQKbmbPHmyoB9yQigPmZmZ27Zts7Kygq97Tpo3b87T9W/y9OTJkz59+uQ4K5SpqenQoUNPnTqlgll0fvz4cenSJXIaKVu2LHw8i7a2Nulgnzt3DnIjxBEccOeflBRxUJBo/nyxg4NYR0f2uGSCnp7YyEhsbCy2ssohmJr+m2pgILuVTNDSEpuYiAcPFj99Kk5IgGIIU1pa2u3bt+vWrZvjr6wMPT09Dw+Pe/fu5fHLqnogF/stW7bY2trCkUvp6+sPGjSIdHNJBsjKheTk5Fu3btWpU0d+ShY3N7dHjx5BPsEiNdy2bds85i/S0tJq1KgRf2djQEjtJCQk7Nq1y9HRERohi6urK+m+Qz7l+PnzZx6zA/8nMzOz1atXc3vlunPnDvOmsLGxMd9XqpDp8NCBO3S9MSAWISQc165dk19Lg6hUqRI5w0MmJBZ/+fKlZMmSUDtSpUqVWrt2LeRASDNs2rTJ3t4e2kBOWrRowfOR97S0tFOnTsnPFmBoaFivXr1jx45BPk69fv26d+/eJUqUgMJJkV7r5s2bhT7RLhIoHHDnh6Qk0ezZ4qpVZY9CGkSVK4vHjxcdOyby9xeHhPw7KF8ImZniiAhyKhKfPy9etEjUpInMp/wKJUqIBg8WC2cQkFyiunbtamJiAqfVXFSuXPnQoUMJAv9RodBu377dq1cvqIvs3N3dx44d+/DhQ8iqTCdOnOjevXuOQ05GRkbz589///49ZFUjkZGRq1evNjAwgEPNiYuLC85ciZCSkJuB+vXrQ2PLnZ2dnbKfHE9JSdm3bx8zAfp/Kl68+OTJk8n5mQ+/ED99+pS51JqbmwtgNlKZ7g0duENXHQNiEUJCExQUxH5dadq0aZCAWNLS0lq2bAl1JJl+BxIQ0jzJycl79uzJe3JzLy+v169fwwb8QPrPTk5OUD6pWrVq3bp1ixwRZOKfgICAjh07QnGlSMf1t99+gxwIqQQOuHMnPl78xx/iYsVkS06Cu7towgSxSkY/QWSkaMkScdOmInNz2cJQlGj4cNGbN5CTN969ezdv3jxdXV04g+aiQoUKixYtSk1Nhc2QxMuXL4cOHZr3pPYNGzacPn36rl27zp8///Tp069fvyYlJcH2uUhPT09ISHj//v3Dhw9PnTq1adOmESNGVKlSBfaYk5o1a86dO1ej1pU6ceKEu7s7HH8upk6d+uXLF9gAIVQo9+7d6927NzSq3DVt2nTSpEnwD4qytbVVj7k1FY49k4yFhQWfJyj7Ra5L82/gDlSfFMQihASFdInZr2Zu374dElBOFi9eDDUl+VX7/+zdCbgcVZn/8UsIIYBg2CQoS1jUoAhRUIMjGsUFXAFRoyMC/schA4qRUSauURAzjmgYGI3osChgHLc4LkRQxA0jm4gjBhUIIBA2CXtCQu79v9T51eF019JV1V293e/n6ec+t85SW9fy1tvV1V141gTQ50499dRkFjt00EEH2dW3WvfCX//61ze+8Y2am4gd9I444ohbbrlFLQbEAw88cMIJJzQ9VX/vvffuzo2GAAn3rrv77rHDDx+dPLlhbidOHHvxi8d+/euxfsgLj46O/e1vo8cem3wWzehee41deqma9cKaNWtOOeWU1EeGhTbeeOO5c+cSzxVka/Xmm28+6aSTdt99d1t1+T/72Q47T2+yySb777//mWeeec899wz983xasgu2t771rcnH6XgTJkzYd999f/e736kDgFbuuOOOww8/PP8GIrPddtt97WtfC7/wdMkll/ij38SJE4fgkVadZSdft3LMpptuunLlSlX0ucYwRq/e0RqMqRTA4LjyyivD5zL/8pe/VAWyLV68WOsr+lrteP5RWcCza/D//u//zglZLS590Yte9Je//EUdusLi4abfgbOr0RtvvFHVA+uee+6x6+4w0TF58uSvfOUrqgbqQcK9i046aXTixHAmR7fdduwLX6j4fJiuueSSseTDZw4+eKyLNwCeddZZL3zhC3VozHbEEUf86le/Uh+0Z/Xq1Zdddtn3v//9//qv/5o3b96b3vQmewu22Wab7bffXqs7wU5g22233Y477viSl7zk3e9+9yc/+cmvfvWrP/zhD6+77jqNFBnuv//+z33uc/mfJO26666nnXaaOgAI3H333R//+Mfz7xUyW2655YknnnjTTTepW4JVhbvhSSedpIpx7x3veIdWysjIPvvs089fIm7WFL24V+9oJcZUCmBA3Hjjjf5cM2nSpJ/+9Keq6JGrr7763HPP/cAHPnDYYYftt99+M2bMeG7M4va3vOUt73//+7/0pS/19lZZ58tf/rL/XvJOO+20du1aVQAYGzvjjDO23XZbt4Okes1rXnPFFVeodT2++MUv2mFN04tu/BrKfPRPfvKTph+zPfbYY1f3eUYOA4uEe/0sxNl554Z522mnsf/9X9UOkNtvHz3ggIYFGRkZPfts1XbU+vXrf/WrX4VP/UtlpwELLvn5aQyTH//4x3vttZc28QzHHHPMENxoALTj3nvvXbx4ccsku4XUs2fPLvWImBe/+MXqPDLyrGc967bbblPFuHTVVVdNnjxZq2Nk5Oijj1bFoGgMWvTqHa3HmEoBDII1a9b4G4AmTZpk5yBVdNfy5cvt8sfNRlmvf/3re/jEwi984Quaj5GRV7/61SoFELDdJPmzn6FZs2Z1/Bd0vv3tb2vskalTp/b808S6/eUvf9l77721wJFPfOITfP8eHUfCvU7f+MZY4yPRR+fPH2v1FOwB8MMfjk6Z8sRybbDBWIeuwK+77rpDDjmk5aMAdtppp+985zurVq1SN2AY3XTTTe9+97u10WfYd999L774YnUAxoELLrjANvucBzE5Bx100JVXXvnYY4+pW0n/8z//E2aZLQRXxXhiVx3HHXecVsHIyGabbdZvP+RViI9VwlfvaG3GVApgEPzLv/yLdt3o1geVdtH3v//98NxU2fbbb/9///d/Gml3vfWtb3XzMGHChBNPPFGlABqtXbv2K1/5StOjXZq89KUv/cMf/qAOVf3+978P8/v2v8XPqhsHbrvttn322UcLHz0y8Vvf+pbqgE4g4V6P004bmzDBz8zo1Kljv/iFqobGnXeOHnSQX8bHXzb44IOqLeyGG2444YQTWibZd955509+8pN33323ugHjxmOPPXbKKafstNNO2hnSPPWpT/385z//6KOPqg8wRC6++OIiv336spe97LzzzlOfto2OjtoINeooBF+yZInqxoHTTjtNSx456qij1q1bp7rBEkYp/tU7WqExlQLoe1/72tf8E1H23XdflXZR6nnwWc961tm53zb+0Y9+lHU7/IUXXqhGXXTHHXc8+9nPdjPwpCc9iWeBAi2dfvrpT3va09xek+pVr3pVhV/8Wrt27WGHHaZRRN/a+Z//+R/VjTOXXXZZuIZ32223e+65R3VAe0i4d9pPfjI6aZKfjdEZM0aH+8kPa9eOHX+8X97HX3PnjrW6qdAOYXYxv8022+iolmHLLbd85zvfye/qAJ4FBM973vO0h2Q4/PDDc55SDQyEG2+88b3vfe9GG22kzTrDtGnTFi5cWF8u+E9/+pOF3ZrYyMiUKVN+/etfq25InX/++RMmTNACR09sv//++1U3iML4xL96R6s1plIA/e2RRx55wQteoP12ZKTLv2Fo7ISoaQcuuugiVbdy8803Nz2z2EyePPnWW29Viy765je/6Z8TbSErD3MHirCj0DnnnLPFFlu4fSfVS1/6Ugtc1SHX0qVLN9lkE3UbGfnnf/5nVYxjixYt0uqIfpruP//zP1UBtIGEe+fcccfYjjv6GXj8rvY//lFVQ2/Nmsd/RtWv/I02Gk37Ms655547Y8YMHcayve1tb7v88svVB0CaG2+88fjjj9c+k2Gfffa54IIL1AHoe48++ugJJ5wwbdo0bcEZ7EL9U5/61PXXX69u9bv44ovDh9hsvvnmX/3qV1U3RObPnx+m2rfccsuCl219zUcm4at3tHJjKgXQ3772ta/5w+PRRx/d5W/83Hrrrcn7W+fNm6fqYn7yk5+oZ8yW6Mtf/rKqu2h0dPT5z3++ZmJkpP1nYgDjzX//938//elP1y6U5oADDvhF9vMVwmeWbrXVVhXujh9WK1eunD59ulZN9GWmyk+nBBwS7h0yf76f9OiECWPj6YvnT7j11rFnPOOJ9bDvvmvuvvviiy9+7Wtfq4NWNjsr8MAsoJr//M//DG/CTdpss81OOeWU++67Tx2AvvHQQw/ZZYP/gnkW24aPPPLI3j5D/JJLLmlKeRx11FF///vfVT2wrr/++te//vVapMiMGTO6+XlGveKYpOHVO1rFMZUC6GP333//K17xCrfPbrnllt3/ntNvf/vbrbfe2s2A95WvfEXVxdgJdOONN1bnyIQJE3r14fF3vvMd/wHGYYcdplIAZaxbt27JkiXbbrut25VS7b333ldccYU6RF2e85znqG5kxI5so6OjqkPsgx/8oFbQyMg222zDF8fRDhLubbM9cNo0P93RV796bJz/uvGXvvTE2th00wXPf77/2mCTXXbZ5ZxzzlmzZo06AmjP1Vdf/cIXvjC8R7XJxIkT3/CGN9xwww3qgFxr16595JFHVq1adffdd//sZz877bTTPhx5y1veYhHqq2KvfOUrba2ecMIJH/3oRz/zmc/YZeRtt9127733PvzwwxzfUtlqsfVpEX/Otmrs3PHiF7/497//fV/dXXL99dc3PdbpSU960hlnnDFwv6Bg2/b8+fObHtrz+te/ftg22jggaXj1jlZ0TKUA+pgd9v2hcubMmT15BMoznvEMNwPey1/+cjuMq7oAi0/UM7b55puvXr1a1d01Ojpqp043G5MnT14/zq+dgbZ9/etf32WXXdw+lWrWrFkWrIbfIv3Upz6lzkhYsmSJVlMU5//4xz9WBVASCff2XHTRE1PcZJOxH/5Q5ePb6O23jz7zmX7NnBI8RmaLLbZYsGDBzTffrKYAamC72Lx587TXZdhnn32++c1vqgPGxi699NJPfOITr3vd6575zGdusMEGWk0dstNOO73iFa849thjv/e9743be0l+85vfHHzwwU132CXZlmlhbv+nfc8+++zNNttMMx3ZcsstP/CBD5TKgHTf7bff/q53vavpg/AddthhaK8lfJAWvnpHazymUgB97Ktf/ar22JERO8irtLvOPPNMzUFg++23v/fee9Ui11FHHaU+MTsXX3fddaruBf8bsBtuuOH3v/99lQJoz/nnn7/zzju7nauJfzpiD7/dMkB+/vOf+88FDQ+/QjUk3Ksb/fSnR/3ktt567K67VAHnta/1b8fVu+22YggeBQsMoC9/+cvJG6NCEydOPPnkk+8aZ0ew22+/ffHixU1P0mhiYdYuu+zyvOc978ADDzz66KNPP/30b3/72z/4wQ9uSHPhhRdarV0SH3fcca973ete+MIXPv3pT0/+Rllo5syZ//mf/9nbx6TUzZbuhBNO0AJnmz59+oknnjiIH0WsXbv2gx/8YPLL/rbZfO9733vggQfUrqdWrFjxhS984alPfapmLrbDDjuccsopajSsfJwWvnpHqz6mUgB97IgjjnA77OTJky+55BKVdt0vfvELNxtN7ASa85SbhQsXhj+N6Oy7774FM/X1Of/88zU3vfsYAxhW69ev/853vjN16lS3i9lBYNNNN3X/m3POOUfthoJFufqv06644gqtsujjiquuukoVQGEk3KsKHto+9opXjD38sMoRWrDAr6XR/fYb4xHSQO/86U9/etnLXqaoIc1GG230yle+8q9//as6DJ3777//4x//eDLtaCZMmLD77rv/+7//+3XXXXfPPfd09gvjo6Oj9913n4WD55133syZM8Of3/S23HLLt7/97cOx8t2zSvKfKWk23nhja3bHHXeo24Bbs2bNt7/9bX9t49nbvf3227/nPe/53e9+17Vn49iELr744je84Q2p78IznvGMn//85+PlZ6B8qBa+ekfvQUylAPrYy1/+crfDbrbZZn/5y19U2gt23D7uuOPczCS99KUv/elPf+paXnDBBXvvvbcqAjNmzOiTGywuu+wyzdPIyFve8haVAui0iy66aMcdd9TONjLS8Z9KfvTRR88999zkPUZ25FSLDvnRj3501FFHJT9BTLLLure97W0/+MEP1LMN11xzjf9url1CDs9PHKFbSLhXMfpv/+YnNPqiF4314ll+g2L0s58d23BDra7nP1+lAHrnzjvv/NjHPjZ58mQXPaSy67Sh+bLhj3/841mzZmnBAm984xu/+93v3n333WrXXevXr//JT37y//7f/0vm33feeedTTz1V7QaERduLFi2yK3ktQ7ajjz768ssvV7chdf/9959xxhkvetGLtMyNJk2atM8++xxxxBGnnXbaVVdd1eavGdsG/POf//wzn/nMO97xjj322EPTSDjooIP+53/+pyePHu6xOFprePWO3o+YSgH0MZ+revKTn/zQQw+ptHdGR0e/8pWvTJkyxc1VQSeffPKDDz6oUfSBW265RXM2MrL//vurFECn/eu//qv2tJGR+fPnd+rrpI899pgFnznf5X31q1+tpu255ppr9txzT420vGc961nLly/XuCr55je/qXFF4XRfHUjR/0i4lzZ6yiljEyZoKv/wDyrtvjvuGLvyyrFPfGLsyCMfn43dd3ezNLrHHmPPec7o4YePfec7Y9ddN7Zundr30Ic+pNVls2cR1Ti5qw4YBBZD7Lbbbgoi0my44YYDehvyT37yk9QHfSxdulQt+smKFSsOO+yw5F0bFsv27TPB16xZc/HFF8+cOVPzmmHSpEkveclLfvGLX6jb+HPrrbd+/OMff/aznx0+C7KgvfbaK7wvqSDb8p///Od/8YtffJiv38XhR8Ord/QOxVQKoI9ts802bod98pOf3KtfGc1y/vnn5/8yip2C3/Oe9/zxj39Uh75hZ0b/w+kvfOELVQqgo77//e+7vczst99+7X9k+Pe///2EE04ocpt5+wl3m5ZFsxpdox122OFd73rXhz70oTPOOOPMM8/81Kc+9d73vvc1r3mNP6o0OfTQQ9s5evsHi5mTTjpJpUABJNzLGV22bGzSJDeJ0Re/uMtPkhk977yx5z7Xz0DR1+abP56U7+1V9yc/6Wbm8afen3iiCgH0jT//+c8WiyiUSGMRzAEHHHDNNdeoQ7+66667XvGKV2imY0ceeeSNN96oFv3t3nvvPfXUU5u+f7DbbrvlPKG1y+y63SLalrnjPfbY4wc/+EGfPMS8rzz88MM33XTTb37zm4985CMveclLyt6l2ORpT3uavR0LFy68/PLLb7vttvF4D3s+HwuFr97R2xZTKYA+5jM+duLrk1ji+uuvf+Mb35j6hLocO+200ze/+c11/XAz1tjYddddp9kaGXnta1+rUgCdMzo6ut1227m9zA5fFnyqorw777zzqKOOmjhxohtbaNNNN33nO9+5zz77aDjWZsL94osv1ogCW2+99YUXXqgWGR599FGLrtUhYH0r38Nka3KHHXbQiEZGbG2oAmiFhHsZjz46utNOGv/WW4/97ncqr9sDD4y+4AVPLFrV1+hznmMHS42zyx56aOzlL9ecTJgwdsUVKgfQZx588MGPfOQj+b/2ufvuu5911lnq0Df+93//tyl3+brXvW5wn7W3du3aD3/4wxtssIEWJmJvjaq769prr507d274g0uppk+fvmDBgr69JX8Q3X333XbloAFUEERBT7x6R7tKTKUA+tib3vQmt8Nusskml156qUp74eabb7bAxs1Mk0MOOcT/oOstt9zy+c9/3ifakvbZZ5/ePozeXHTRRZqbkZFjjjlGpQA656STTtI+NjJy7LHHqrS8+fPnayyBnXfe+b//+7/dbeOpOe52Eu6//OUvNZbAP//zP6u6gCVLliTvdrcL2Pvvv18tSjr77LM1lpGRN7zhDSoFWiHhXsLo//t/fvyjp5+u0i44++yxiRP9pB9/bbbZ6D77jH3ta2MPPDC2fv3jbUZH9Vq3bvQb3xjdbruG9uGra58TNPnTnx7/lCKah8c/twDQ30ZHR3/84x+3fODMe9/73nvuuUd9emH9+vULFizQDEW23XbbH/7wh6oefDfccMO+++6rZYscdNBBXXiM7N///vfPfvazT37ykzXVDFtttZUF8b3dBoBMYfzjX72j3SamUgB97MQTT3Q77IQJExYuXKjS7rrzzjuf9axnudkIHXLIIfnn32uuuWb//fdX60b77bdfDz8g/8hHPuJmY4MNNli0aJFKAXTIvffeu9NOO7m9bKONNrKoXhXlHXPMMW48dgx88YtffEXi1snOJtxvuummXXbZRWOJVfhY7vzzz09+Dej4449XdUmPPfbYM57xDDeSLbbYYtmyZaoAcpFwL+yaa8Y23dSNfP2zn63Crhi96CL31PjRl71s7Je/VGlL69evP/RQrY3wtfHGvfqV1/DHZsc+9zmVAuh711577Tvf+U4XZGSxSKv7d37ZRVr49cYZM2bYrKpuuDz00ENHHXWUljPylre8pVM/fBT60pe+tPfee2sa2d71rnddddVV6gP0LR91hK/e0f4TUymAPvbHP/5Re2znfgawlC9+8YuafODtb3+7qguwi8L3ve996hnYbrvtehU17brrrm4eNtpoo7/97W8qBdAh55577qRJk9xeduyxx9pBQBXlrVmz5re//e1dd92l4YTOJtw//OEPaxSxpz/96XfffbeqC7NFnjVrlkYRe9rTnnbdddepRUlnnHGGxjIycsIJJ6gUyEXCvbDZs58Y+cUXq7DvjZ500hOzHb9GP/1pVXfZ2rWjG2+s2dh558efMwNg0HzsYx/bfvvtFW6ksdr//u//rvu2qZ/97GfhY8Sf+9znjpMLtn/5l3/RMkc+8pGPPNbeL1FbPHrhhRcecMABGmO2V77ylcP01QGMC0Hw88Srd7QvxVQKoI/ddddde+65p9tnd9111y4/jOWnP/2pm7S34YYbfq7SfUtLly5N/tThgQce2IXvzDW55ppr/J2n/GIqUId/+qd/cruY+f73v6/SenQw4X7DDTc85SlP0Shi73nPe1Rdkl2QJm9y/8Y3vqHqkv74xz/6H6m26yYe+YgiSLgXMrp8+diOO7oxj+6//9iDD6qi/61aNbbBBk+sFrcIPXxS3qc/rdmYMGHszDNVCGDQPPbYY7/61a/22GMPF3akmjx58pFHHtnOdxhT2aRnzpypaUT3Z/2uV0/K6pEHHnggfIrrpptuutxOUmWMjo7+5S9/scvspl9nbbLBBhvsuuuu3/72t3ksOwZVEPw88eod7VoxlQLob+Edl9WS3dWsXbs2+dD2rbbaqvLNqslvK1oY8Kc//UnV3TJ79mxNfmTkK1/5ikoBdMhdd931ghe8wO1i06ZN++tf/6qKenQw4f7jH/9Y/WMTJkz4yU9+ouqSbrnllvD2LGfOnDnV7lVatWrVy172MjeSpzzlKePt8hPVkHAv5jvfeWLMCxaocCA89JB/Eo5/jX7+86rtutGrr35iTo46SqUABpldqv3zP/+ziz+yWBx20UUXqUMbzj333PB3RD/fu6NZz1mc5++zMO9+97tVkc0C7mOPPTb/F3HNdtttd+qpp952223qBgwuH3KEr97RPhZTKYD+dsMNN/iftNlpp51WrlypipqtXr06+ej2F73oRaouL/mshu233/7GG29UdVdcccUV/g7W5z3veQ8O0H1swIC47rrrdtxxR7eXvfSlL121apUq6tHBhHvy4VcbbbRRO8eoHXbYQSOK2UG18o1Ec+bMcSOZOHFi5Y8BMK6QcC9g/Xrbt9xoRzfbbPTnP1f5QPj9759YJ/7VibRXRXfeOfbc57rZGH3Oc8a6FbAC6I6TTz555513drFIqi222GLRokXVfiP+Na95jcYS/dD8HXfcoYrxav369eE3RnfaaafkAxZvv/32008/fcqUKWqUYbvttnv3u99d4QmJQF8Lgx//6h3tbzGVAuh7xx9/vPbbkZH58+ertGaPPfbY4YcfrqnGJk+e/Jvf/EYtyrjvvvue+cxnaiyxN77xjd18pIzFLUcccYSmPTJy/vnnqwJA51x55ZWbbbaZ28sOPvjgtTX/gF+nEu6jo6MHHnig+scmTZq0bt06tSgv+czMXXfd9eGHH1Z1SR//+Mc1lpGRb33rWyoFspFwL+Dhh0dnztRop08fG6ib/kZf9aon1ol77b236nrlXe/SnGy++VjXv8MIoAvsgmrZsmUzZsxQSJJm0003ffOb31wwaX7vvfdOmzZNPdv4ifmh9N3vftf/cuxGG230i1/8wgrPOuss/2P6Od7ylrf8+c9/ruPHV4G+4IOf8NU72vFiKgXQ99auXRvGIZdccokqavb73/8++ZH55MmTv/SlL6lFMVdeeeXUqVPVP7bNNtt0+akIX//61zXtkZHXvva1PAQZqIMdoLSbjYy8853vVGltOphw32effdQ/9rSnPU3VlRx00EEaUcyuQB944AFVl7Rw4UKNZWTk9NNPVymQjYR7AbZDTpum0e6zz1jVD8S6b/SEE55YIe619dajN9yg6l4J5mr0sstUCGBIXX/99e95z3vC58Ak/cM//MMPfvADdUi46qqrttxySzUdGeF3O5Nuu+22rbfe2q2fSZMm2SV08jeCPAs96/71JKBf+PgnfPWOdsKYSgEMgr/97W92hnU779Oe9rSuPXht2bJlW2yxhZtuk+c85zlnnHHGH/7whzvuuGPNmjXr1q1bG3nsscfuueeev/71rz/+8Y9f+9rXqnWjbbfdtstfa7vhhhs07eh7dcnv5AHoCDto+AuBt7/97XXfWNPBhLsd09Q/tuuuu6q6kmTCfbPNNquccJ8/f77G0saPr2JcIeFewL33jk6cqNG+9KUq7H9z5z6xNtxriy3s6KvaHvqP/3hilrJTbACGz+mnn558lF5ok002OfXUU++99151iJ6I4kPGrbba6qqrrlIFGtll87777utWlGm6vX333Xc/66yz1BQYP3y8Eb56RztkTKUABsQ3vvEN7b0jI89//vO7ljIeHR39/Oc/rwm3bfPNN//e976nUXfLn/70p/Dmicu46Qqoje1u22+/vdvXXv3qV1d+gkpBHUy477nnnuof22233VRdSTLhvtNOO1V+jtZ73/tejWVk5Ec/+pFKgWwk3AtYtWrU/+7oQCTc16wZnT79iVURvUanTBkNcli9dOKJT8xYt76PCaCvXHHFFf533lNtvPHGb3vb277//e/7y7MNN9zwb3/7m/r3zm233WZR7MUXX/y1r33trLPO+u1vf3vttdfeeeedqu6pRx55ZJdddnGry7z97W+36/Nbb71V1cA45OON8NU72jljKgUwOE466aQJEya4XXjmzJl13zraxOKNuXPnJn9JtaXJkye/+tWvXrRokUbUXTfddJP/gZ8NNtigI7+iDyDLLbfc4jPX++67b92/89zBhLv1Uv/YpEmTVF1J8gGnVrJ69WpVl2GL+eY3v9mNZLPNNvv1r3+tCiAbCfcCHnxw9JnP1Gif+9zHnzDTx0bPO2/Mjkp+PbjX0UfbAUwteu644/yMjV55pQoBjEt33XXXscce63/YJ8vmm2/ezi/UV/b73//+hBNO2GabbTQfBdgl5YknnnjPPfdoFN312GOP7b777m5ObK3+7Gc/UwUwPvlAKHz1jts3PZUCGCgnnXSS9uHo+2Rra/5Bwizr1q17+OGH//73v19zzTXfT1iyZMkdd9xx//33r1mzRh165Lbbbttuu+20vkZGvvzlL6sCQD1GR0d9aniDDTao9jPLxXUq4W7++Z//Wf1jEydOvP7661VdXvIi7ogjjrDLJVWXYZeiO+20kxvJjBkzbr/96SitdwAA//RJREFUdlUA2Ui4F2Bhih0v3Gh3333s5ptV3mdG77tvdNddn1gD7rXFFmN/+INa9AM7ur3tbU/MGz+aCiBi143nnXfeU5/6VBfHhCxSPOecc9SuK9avX9/yufMtbbzxxr/61a80xi6yC2//sNfnPOc5XX5CK9BffDgUvnrH7ZieSgEMmv/4j//Qbhw97+6Pf/yjKtDoJz/5iVZT5Pzzz1cFgDqdcsop2utGRhYsWKDSenQw4f6tb31L/WN2OWaFqi7p8ssv32STTTSi2Ne//nVVl3TxxRdrFFHWXqVALhLuxXzsYxrthhuO9uFjxx99dOygg55Y9vg1evLJatA/br11dLfdNIcvfOFYj24CBdDPLrvssvBH6g899FBVdIVdNm+88caadmCPPfawEO3GG2+866673P1ia9eutf+vv/56CwT32msvtWv0pje9yY22m0477TT/4PsjjzxSpcA4FARFT7x6x+2VnkoBDKAf/OAHEydO1M7ML7qn+cxnPqO1MzKy6aab/okbrYBuueKKK7baaiu39+277761ftOlgwn3a6+9dqONNtIoYq95zWtUXdInP/nJptunttlmm//7v/9TdUn/9E//5EYyadKkr371qyoFcpFwL+bCC0c32EBj/rd/U2E/ePTRsWOOeWKp49doL1I8hSxb9sR8vu99KgSAgMVtPkbcfPPN161bp4r6XXXVVRZFuUl7b3jDG1Tdypw5c9Qn8PGPf1zVXTRr1ixNfmSEX5rF+OVDjvDVO9onYyoFMJhuvvlm/5Uys//++z/Q348e7ZoHH3xw+vTpWi8jI3vttVf4e/gAuuDggw/WHjgysmTJEpXWoIMJd7voO/zwwzWK2LbbbnvFFVeoRWHXXnvtjjvuqFHEjjvuOFWXtGLFCo1iZGT33Xfv8q93YHCRcC/m5ptHn/50jXmvvcbuu0/lvWXHC/8xgH/NmjXWxwHN6Pve5+ZzdNKksapfDgIw3E4++WRFNCMjn//851XaFa9//es14djrXve6Uj+t8/a3v109Y3bNeccdd6i6W6655hpNfmTkZS97mUqB8SYMkPyrd7RPxlQKYJB96EMf0i49MjJhwoRzzz1XFePV5z73Of81O/PZz35WFQC66IYbbtBOODIyderU9evXq6LTOphwNz/96U8333xzjSU2a9asBx98UC0KsIUNP29wtt9++9tuu00tSnrFK16hsYyMVH7EDcYhEu5Fjf7rvz4x8qoPfuqYk056Ymb8a/r0sT7/6Ya///2Jud1zzz76HVcAfcMioWc961kuoHna0562atUqVdTv3nvvDR9l45xyyimqLuacc84Jv2Nudtxxx1tvvVXVXfSWt7zFzcCTnvSkCy+8UKXAuOKjjvDVO26X9FQKYMDdfPPNFrFox46il9///veqG08uuugiCzm0FkZGXvjCF955552qA9B1/jdIN9hgg7lz56q00zqbcDfh06g8uzws+GAcu6BL/lbqhhtueMstt6hFSXZx5x90s99++3F7O4oj4V7Y3XePPfnJbuSjm2/++I9/9sTnP//EMvrXzjsPxK+Pjh566BPzXOfXmgAMrqVLl06YMMHFNMcff3yXY5o3velNbtLeS1/60kceeUTVBcyePVs9Y0cccUQ3n4rj2ZrUHIyMfPSjH1UpMK74qCN89Y52yJhKAQyFr33ta+FvwOy3337j5zkq11577fbbb68lHxnZZJNNLrjgAtUB6JFVq1Y973nP83vlj370I1V02stf/nI3Fe+1r32t6ir57Gc/qxE1OuSQQ+xoo0YJV1111UEHHaSmgWnTpv3tb39To5KWL1/uD25bbrnl9ddfrwqgABLuZXziE378o8cco8KuOeOMsUmT/AxoNrbffvSyy9Sgvz3+Y7ObbKI5339/lQJAo/nz57uYZoMNNuj+T5B985vfDL8H7Vioqupco6N2ZjhGfWK77LJLr27vsohwu+22c7NxwAEH8GBZjEdByPTEq3fc/uipFMCwsEjghBNO0B4e2X333Sv/Rt9AuPTSS7fcckstbfRQnS984QuqA9Brv/3tb/3t3jvssMPt5Z+I8Ic//CH5Q6ZtelOBXxy89tprd911V3VIsFnaZJNNnvSkJ2222Wb2T9PXi0Of/vSnNcbyHn744f3339+Nx64QeWIYyiLhXsZjj4296lUa/+TJYz/4gcrrdsEFo365/GuXXUYH6HfwbrttbPfdNedbbjl2880qB4DAI4888rKXvcyFNXaNetNNN6mii6644oqmX7R33vzmN99zzz1qlPDtb3978uTJaho74IADVN0La9ased3rXufmZOutt/7rX/+qCmD88FFT+Oodtz96KgUwdJrS7ttss82ZZ56pumFx8sknb7bZZlrCKBv1X//1X6oD0DfOO+88fzuRXRGUvQXHjl2ubwdtt912GnsrV1111axZs9StjF122eW73/2uxlLVnnvuqdGNjLznPe9RKVAYCfeSrr9+bMcdNYlddx2r/77F0csvH9tiiyeWq4Ov44/XNLrgsMM00QkTxs46S4UA0MhCQP8A93333bdXN2WvXr36He94h5uNJhMnTvy3f/s3f9P6zTff/MY3vlF1gf3226/7P5Sa5B/daK655hqVAuOHj3nCV+9ob4ypFMCQ+upXv/rkJz9ZO3zEYpurBuiWqTQXXXTRTjvtpOWJPPWpT126dKmqAfSfs88+W7vryMj06dNLPS3TfOITn3j3u999dIe8853vvPzyyzXqwtasWWNH1Je//OXTpk3beuutp0yZstFGG02YMMEuzbbccksr2WWXXV7wgheceuqpDz30kPq0Yd26deEPpX7oQx9SBVAGCffSRr/3vbGNN3ZTGZ061fZFVdTk179+/G76cNE69Bo96CBNomaPT8hP9P3vVykAJNxzzz2bbrqpi2wsourtj9KsX7/+ox/9qJuZ4j72sY+V+hn9Wv3bv/2bZmtk5LIBef4Y0ElB2PPEq3e0N8ZUCmCo3XTTTf4LZ96LXvSiX/ziF2oxCL797W/vvffemvvY//t//68fbi8A0NI555yj/XZkZNttt73xxhtVgYR77713v/3208oaGTn66KPtqlB1QBkk3Cv55S/9hEanTRtbtUrlNfn+98eOOKLzrxUrNP76rFs3+pa3+HU1xtdwAOS66667FNqMjLzyla9UaR847bTTmm5SazJp0qRvfetbat03Tj75ZM3fyEh9P5QE9C8fgYSv3tHeGFMpgPHhggsuCB9Q4DzlKU/57Gc/258/xPeHP/zhk5/8ZPhLsM4LXvCCK6+8Uo0ADIhvfvObEyZM0G48MvKzn/1MFQjcdtttm2++udbRyMi8efNUAZRHwr2q7353bIMN3LRGt9rq8UfNoMnatWMHHvjEO/K+96kcADKsWrVqhx12cPHNzJkzV69erYoeue+++z7+8Y+HUVdLkyZNOuyww2699VaNoqfe//73a7ZGRrg2xnjkg5Dw1TvaG2MqBTDO/OEPf3jJS16iA0HgKU95ynHHHXf77bf36ht+Nt0bb7zxyCOP3HrrrTVPgdmzZ/fkx3UAdMoNN9wQ5tw/+MEPqgKRM888M1w/PCwLbSLh3oZf/GJs0039FEd//GOVw1ikuN12fuWMffSjKgeAbA899NC+++7rQpxnP/vZK1euVEV3rVu37gMf+EDqT6e+/OUvv+iii1yza665JsxoN9lwww2P7+ZPZSTYZfPhhx/uZmbTTTddvny5KoDxw8ch4at33P7oqRTAeHX//fcvWrQoNflutt9++yOPPPLLX/7ylVdeuXbtWvXpnEceeeTSSy89/fTTDzvssKyv8R144IFf/epXH3vsMfUBMODssLP//vtrDx8ZmTZtWn9+w6bL1qxZEz5GxlYLny+ifSTc2/Pgg6PbbusnOjpnzhhPdzLf/vbYpElaLRtuOMZHEQCKWbdunc8Rb7HFFr/5zW9U0S12SfmP//iPbgZCL3/5y2+++WY1SvONb3xjt912U+vABhtsYNfSatRdd9111z777ONmo4efXgC9FEdoDa/ecfujp1IAiEKgSy+9dPbs2dtss82GG26ow0QjCyo22mijyZMnP/OZzzz00EM/9rGPff3rX7dg6dbYnXfe+fe//93O+G7wlltu+clPfvLNb37z/e9/v7XfaaedrO/EiRNTbykwNvLtt9/+ne9859VXX02SHRhiduVi+7v2/Oj3GOwQpLpxZnR09JRTTgmPiieccILqgPaQcG/b+vWjRxzxxHQ322zshhtUNS6Nzpr1xNqYPn2sP56rAGBQnHfeeQp2RkZOO+00lXbF73//+6222krTjr361a9++OGH1aIVu8p96Utfqp6Bo48+Wi266KqrrvKx47ve9a7e/gIt0Bs+IAlfveP2R0+lAJDGzuPnnnvusccem3zye6fMnDnz+OOP/5//+Z8//elPmiqA8WHdunUHHXSQjgXRd3NPPfVU1Y0bS5cu3XLLLbUKRkZ23333W265RXVA20i4d8iVV45ttJGf+ug//uPjTzAfbxYvbnjGzqc+pXIAKOz3v//91KlTXdBjUWDXHuP+wAMPbLHFFm66XrUbHD71qU+pf+D0009XdbcsWLDATdoC6HPOOUelwLgSxyQNr95xu6SnUgAo6eabb/7hD3942mmnHXPMMXPnzt1///1fFHne8563xx57PP/5z3eDr3nNa94X+dKXvvSzn/3stttuU38AiFx//fXPfOYzFZdEX3NZvHix6obaz3/+8/BGK7sMvOCCC1QHdAgJ98557LGx97ynYR5OPllVw270iitGN9vsiQV/9rPHbrxRdQBQ0ute9zrFPiMjv/vd71Ras//4j//QJGOTJk265557VF3G2rVr9957b40lNmvWLFV3xbp16570pCe5Se+888533XWXKoBxxUcm4at33C7pqRQAAKB3fvazn2222WaKTkZGNt54449//OOqGzpnnnlm011WX/nKV1QHdBQJ9067//7Rl770idmYNGns059W1VC67LKx4MdRR5/0pMdLAKANV1111eTJk10A9OIXv1ilNTvmmGPcFL0n2QGtknXr1r3iFa/QWGLveMc7VN0Vn/jEJzThkZGFCxeqFBhvfDwWvnpH+2RMpQAAAL3229/+9hnPeIZilMirX/3q5cuXq3rA3XnnnUcccYQWLLL11lt/4xvfUDVQAxLu9fjLXx5/fHk4P3PmjK1Zo9rhcO65o5Mn+wW0/0fPO09VANCeQw45xEVCG2ywwXldObZ885vfdFP0bNL/9V//peoyrrjiCo0i8L//+7+qrt8tt9xiEaSb7lZbbaVSYBzyYVj46h23V3oqBQAA6A933HHHAQccoEglsvHGG3/gAx949NFH1WKgPPbYY//5n//ZdEv77rvvbtdragHUhoR7nR54YPTlLw/nanSHHcYuvVS1A+qee8be+MaGhdp224FfKAB95oEHHth8881dSLTDDjtcd911qqjNmjVrXv3qV7sphg4//PCHHnpIjVpZu3bt+973PvUMHHPMMWpRv3BBNthgg9/+9reqAMahIFx54tU7bsf0VAoAANBnzjvvvKc+9akKWWJHHXXUH//4R7XoY/fcc88HP/hBfznpTJo06d///d/VAqgfCff6Pfjg2Cc+0TR7o69+9di116rBQFi7dvSEE0Y337xhKQ46iGe1A6jJT3/604kTJ7rw6PWvf30Xfj3VJvHa177WTbGJhWuve93rzjzzzN/85je33nqrOkT3gFjQec4557z1rW/1v/Xa5D/+4z/Uuis+97nPacIjI5+wsw8wngVByxOv3tGeGVMpAABAX1qzZs38+fP9d2e9LbfccuHChbfffrva9YF77rnnvPPO23333TWLsSc96UlHHnnkqlWr1A7oFhLuXfTnP4+Fj3ePXqMzZoz98Idq0Ieuvnrs8MOb5nlsp51Gx8dPVwPorQ9+8IMbbLCBC5Xe/OY3q7Rmt91221577eUm2o6NN974Pe95j0baLZ/97Gc1+ZGRF77whY899pgqgPGpKYBxr97RzhlTKQAAQH9bv379kiVL9t57bwUxgWnTpr31rW/97ne/q6Zd9Itf/OLoo49OvXbbeuutv/KVr9x///1qCnQdCfdeuOaasZe8ZHSDDRpmePLkx39t9aqrxtatU7OeWL9+7IYbRt/xjrHGm9nt9fijY849d9ieRA+gvx177LEKmkZGDj74YJV2xXXXXXfcccdZrOZvtM83YcKEjTfeeP/99//Od77z4IMPaixd9OlPf1qzMjLyrGc9y8JiVQDjVmMko1fvaP+MqRQAAGCgfOlLX3rBC15glz+KaRrZlcgxxxzzrW9963e/+91dd92lPm1YtWrVtddee8EFF3z0ox/dd999NZkEm+4nPvGJnlyIAUkk3HtqxYqxD31odKutmmfeXk9/+tiRR45150PCyy4b+7d/G3vBC5rnwb3e9KaxSy5RSwDouve85z2KoUZGDjnkkDW9+9jv0Ucfffjhh//2t7/98Y9/tJjvz3/+83333Wclqu6pU089VetoZOTZz342gSbwuKaQxr16R7toTKUAAACD6ZFHHrFrotNOO2233XZTfJNhwoQJm2666dSpU6dNm/asZz1r78hzn/vct7/97UcdddS+++7rSvbcc89ddtnlaU972uabb77hhhuqc4anPOUpH/7wh6+55hruZEcfIuHeNx56aPQTnxjbY4+xpjvfg9fjz5854YSxc84Z+81vRv/v/8ZWrrRej9+Tnm/16rG77x7905/GLr987DvfGfvUp8Ze+crRiRObRv7Ea6edRmfPHrBHzAMYavPmzVNUFcVVRFRNDjnkEK2dkZH999+/C8+7BwZDU4TjXr2jvTSmUgAAgCFyxRVXnHbaaUcdddTMmTO32GILxT1t2HTTTZ/znOe87W1v+8xnPvPLX/5y7dq1mhLQx0i496XHHhu7+eaxc84Z3W+/5uVq+crJpGe8Rp/61LGTT348w/7QQ5oBAOgz3/nOdxRwRSHXRRddpIrx7ZZbbtljjz20XkZGuv/UeKCvJWKex1+9ox01plIAAIBxYO3atQ8//PCDDz74wAMP/D1y9913X3rppT/72c/uuusuV3L//fdbA2v26KOPqhswmEi4D5Tf/W70618f/fd/HzvuuLFDDhl77nNHp04dffKTm5c9eI1uscXolls+fuP8a14z9q53jX7yk6PnnDP2q1+NPfKIxgkAA+Kmm27aYYcdlKkaGTn00ENVMV59/vOf17oYGZk8efK3vvUtVQBwEnHR46/e0e4aUykAAACA4ULCHQAwSN7//vcrWTUysskmm/TkB/F77m9/+9vTn/50rYWRkZkzZ46OjqoOgNcUHLpX72iPjakUAAAAwHAh4Q4AGDB/+9vfpk+frpTVyMj2229//fXXq24ceOUrX6klHxmZOHHi+PzIASikKTh0r97RfhtTKQAAAIDhQsIdADCQfvCDH2y88cZKXI2M7LvvvitWrFDdMFq3bt0//dM/aWkjJ5xwguoApGoKDt2rd7TrxlQKAAAAYLiQcAcADLBTTz11woQJSl+NjDzlKU+57LLLVDcs7rnnnhe/+MVawshhhx32CD/FAbTUFBy6V+9oB46pFAAAAMBwIeEOABh4559//qRJk5TEih60ctxxxz322GOqHlhnnnnm1KlTtVSRD3zgA+vXr1c1gHxNwaF79Y5245hKAQAAAAwXEu4AgCHx61//+lnPepZSWZHNN9/8q1/96qOPPqoWA+Lyyy/fd999tQyRrbba6stf/rKqARTUFBy6V+9of46pFAAAAMBwIeEOABgqa9euPf300ydPnqyc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nxziV/ZiO3Mp/RhmjVGXcimdra6uZu7+9Vt6w6xrV8ViHCxK2HOPhonT9XwqU0v57Oq5uumNOe7R5DOAqT6IPS8Iw0cSazF7zwB6VtEw3lfWTbIRNQOm4nRw12hAzwvOTO41AMC+lY28MpmDOkR/SnB7l+C24PYegtsV7Z8wheB2RVMRzQs9Y02C2/uK4HYX7hojFXXvUK/X2+/bcf8AAMwSkf0xq/5bnF1Ez3nanwecPXs2d6aDYTql1aPYR48ezXmGEMciF1dBVICcbQinTp3KxXUQNSSz9q966dUbOKjybOPw4cOZux+jewbQsxqP4jzt+Wql2XhY2NgzgGk/iN2vPwsLC5lv3GbvGUD3km8Z+NVc+8EomgGTfzq4azSj5wWn3gYMAADjlY28MpmDWglut4yiV7tLcFtwu53g9jQS3M6svXS//ghuj073km+J2pW5KRhFM2DyTwd3jfFaW1vr+c0Ko9sBAJgNIvsT4dKlS91/aKy66KtMaZQheuO5D2UGi/a2VIlix/I36vtNup5fmA5HjhypcY09O7ED//5vldKL/a1xX3b1DI6EAUIVI3oG0HOxw7zKqLvuPwwdqZlvmjXzDGAGDmKc6TlPB8O8MKxGs/cMoMoT/Ql5w9DEqr0ZMOGng7tGY3pecAa77wMAMJmykVcmczACgttBcHsYgtvV9dwjwe0JJLid+XoR3B4Xwe3hCW7v4a4xUj2rR1heXs7cAAAw5UT2J8v6+vrx48e7d4MrOnDgwMBh37Ho/hRkmADfiGK+XayuruaiO4ijnFlrsrKykovuYODvrDdfeu0OHz6cq+ngyJEjmbWyEe3R0aNHc/4ycVJnvhHo+ZajGYg8NvMMYAYO4sbGxvz8fM7TwegCi9XN3jOA5eXl3PTOpm6nGlZ7M2DCTwd3jcb0vOCMtCUDAEDDspFXJnMwSoLbnQhudye4XZ3g9jQS3BbcnnCC28MT3G7nrjFSVb6RUntTDQAAxkhkf3Ktra1F/7Bn97WnlZWV9fX1XOgE6x7tna5nAKd7/Zxf7R3LEydO5KI7GHiN430G0DPyG/qt3qPYo9iGnLmDOECZdQR67tFI196MBp4BzMxB7Hn9aYl6Pop3U1U0e88Aej6IDVO3Uw0bRTNgYk8Hd40m9bzgDHDfBwBgYmUjr0zmoCmC2+0Et7uLfmguugPB7V2j2CNhilET3K6+dsHtsRDcHp7gdjt3jRGJko+6lPvZQbS9L126lDMAAMBMENmfDtE1PXnyZM9f6uwiOjz9hkobNkvPAC5evJiL7qD2ZwA9I6RT+gwg5Go6O93n+3tGsUcnej2DGekbp3rGklZXVzPr1GrgGcAsHcS4X+RsFSwvLzf/QovZewZQ5Z0ZUY0zN2VG1AyYzNPBXaNJPS84o27JAADQpGzklckcjIPgtuB2d4Lb1QluTyPBbcHtCSe4PTzB7XbuGqPQ/a35LVEHMjcAAMwQkf2pdPr06egMZ2elH9H5yUWMXnRfz549e7zNsWPHooffSfffrp2uZwA91xilkVlrMsPPAHpW9X53bRR71DOgOV5xfuWGTq0GngHM2EG8ePHiAO9IO3jw4IkTJ9bW1nIpI9OztKfuGUDPn8UM/T6wnHaT0wyYwNPBXaNJPUs7MmRWAACmXzbyymQOJoDgdl8Et8PAaxTcrqJnx3m84vzKDZ1agtv9HkTB7YYJbhcJbnfhrtGwuIn0rAORYaTfKwAAgDES2Z9u0TXttxtZb7/u0qVL0UNeWlrKpY+MZwDdzfAzgOXl5VxTB/1uwCj2KE6rnHkizUA0p4FnADN5EM+ePds9rtpdlOrp06dH8euWPe9cU/cMoGcVDU0+hm/MVDQDWibqdHDXaFLPC86oWzIAADQpG3llMgeTRHC7CsHtILi9S3B7GgluD3YQBbcbI7idOzkygttNmoG7xq64mMSxyx3r7NixYzkDAADMIpH9GXHx4sXqv/E6ZNcuetGHDh3KZTVlmM5/81Hsnmv0DKC66JbnmjqYhGcAw/zCcgNmILTRwDOA2T6IcQXIBQ1qfn4+tqGuAOjsPQPoeWEJCwsLmXvKTV0zYI9JOB3cNZrU84Iz6pYMAABNykZemczBRBLc7qL58GzPNQpuVxdd7FxTB/1uwCj2SJhi1AS3hzyIgtuj1vPCEgS3hyG43aQZuGuEOEBVKurBgwfrurIBAMDEEtmfKdV/p+zMmTM5T2WXL1+OblLO3zjPALqb4WcAPYM1q6urmbWaUezRMC9OGKm4IJw6dSq3cpo18AxgnxzEc+fODfl2jdieEydO5OIGNXvPAEKVaOMAN9/JEQdlSpsBnYzxdHDXaFLPC86oWzIAADQpG3llMgcTTHC7VPPh2Z5rFNyuTnB7GDMTphDczq0cmuD26Ahuj5TgdjNm5q6xsrKSu9RZ7Gy0nHMGAACYaSL7M6hKGKKvvnR0+/vtrMY2RO/r+PHjZ8+ePb+tZy+rez/cM4DuekZIp/cZQM9YYb/xl1HsUc+TLlaaWRlIzxo+fHxwHx7E2KNjx44N/LKNI0eO5IL6N5PPAM6cOZNb39kwhTZGcTimuhlQRcOng7tGk3pecEbdkgEAoEnZyCuTOZh4PXtMQXC7Xe2dmp5rFNyurmefVHB7P+hZwwW3BxB7JLhdI8HtdhPVDKii4dPBXWN0el5eWqJm5gwAALAPiOzPoI2NjSp99Yo/WXX06NGcoavoukcPP+cZiGcAw4jCz0V3ML3PAHoGSvp9acQo9qjnl+mHPDvoWcOHjw86iHFqxAV/vtqb0nYNViwz+QwgRD3MHejs5MmTmXtKzEAzYACjPh1ccJrU84Iz6pYMAABNykZemczBxBPc3qP58GzPNQpuVye4TehZwwW3hzfqaF67nrGm2JjMOlUEt3OegQhut5v5C84oRFMni6+r4X+DAgAApo7I/mzqGV4JVbqXVXr+df0mnWcAw4ijmYvuYEqfAaytreVqOus3VjiKPTp27FjO3EFdp8m+1bOGDx8fdBDbra+vV4z8htOnT+dslc3qM4CTJ0/mDnQ1RT8cORvNgCGN4nRwwWlSzwvOSFsyAAA0LBt5ZTIH06BnMz4Ibu+qvVPTc42C2xUJbtMiuN0wwe3BCG4PQ3C7nbtGXyoObR9piwUAACaZyP5sqtIXij5t5u7g7NmzmbWDxcXFim/KqcIzgGHM6jOAnjV5gJ9EHMUeXbx4MWfuYEp/unFyNPAMwEEsdebMmZ7v+YgM/d4LZvUZQFhaWsp96Kzeu+fozEwzoC41ng4uOE3qecEZaUsGAICGZSOvTOZgGghutxPcDoLbuwS3p5Hg9rgIbvdLcHtggtvt3DUqOn36dBZZV8vLyzkDAADsSyL7sym6Otnp6aBKXzr6n5m7gwsXLmTWOngGMIyZfAawvr7eM9oywGsARrRHPX9tdm1tLbPSvwaeAQQHsZOe95R+33PT8xnApUuXMuu02djYWFxczN3oLC5uFyf+VTcz0wyoV12ngwtOY3pecEbXkgEAoHnZyCuTOZgGgtvtBLeD4PYuwe1pJLg9XoLb1QluD0xwew93je4qDm2PajwV3ycBAICREtmfQT2/OR2qRDkXFhYyd5lIzXw18QxgGGN8BhCWlpZG0cHuGWdZXFzMrP0YUX3oGYw4ePBgZqV/zTwDcBA7uXTpUhZBB/1eYSJ/ztnBAI/3Jsfa2lrP55ct/T47adjMNAPqVdfp4ILTmJ4PHWtvBwIAMEbZyCuTOZh4gtt7CG4Hwe1dgtvTSHB7vAS3+yK4PRjB7T3cNTo5d+5clVPs0KFDPX+tCAAA9gmR/VkTvZ2eX6+PfnuViG3m7qzGr1/HZkf3PpdbxjOA7sb7DKBldXU156lDHJRcbmeDvSJidPWhewArLPsVuUE18wwgOIil4mqf+99Bv7HsntHP2i+SDbtw4ULuSS9xR27ybTdxKHcfry4tLeXUDlrZupiWZkC9ajwdXHCa0bNFUXs7EACAMcpGXpnMwWQT3C4S3A6C27sEt6eR4PZ4CW73S3C7X4Lbpdw19qg4tP3gwYNRo3IeAAAg+nf5f0YjeiDZHdkW/e16f/Jsj4pdo8iWM3TV8/fFTpw4kVmHEEXUc0XBM4DuJuEZQMuxY8dyzkFtbGxE7z0X19nA1W+k9aHnE7jIIDAxgMaeAQQHsShOt9z5DvqNYsdtKOfsoOKz6kkW2989qN0u9nekzYNLly6V/iRrXA8zR5mZaQbUq97TwQWnAT1HFdTeDgQAYIyykVcmc9CP6I9k8W0T3C5qoFcruB0Et3cJbk8jwe3xEtwegOB2RQ00A+oluD0WUapVmrhRT7rXagAA2J9E9ker0/f4oxtz9OjRGnspsaIqXaNw9uzZnKeXnr3cMEz/f21trUq3v8UzgO4m5xlASxzZwV5+ENuZi+hqmBfqjLQ+xF5XOROjfEYX09nY2IgLQpTkSEOKDWvyGcD0HsQzZ860ti22/9ixY3VtXiyqtdhOVlZWMms/Frr+QmiYjdd79Cy9PRYXF+v6BduoAFGFupdznFmZu8xUNwOm5XRw12hA3NazHDuovR0IAMAYZSOvTOagH4LbXYy0V9tOcDsMvEbB7b4IU4yI4HYVgtsTSHC7i5E2AwS3q5vwu8alS5d6Xi5C5On3mzYAALB/iOyPVqdnAHtEn//o0aMDvCQgupq5iAqik9nvU4focufMnR08eLCvLY+u5urqas5cmWcA3U3aM4Bdhw8f7h5jarlw4ULPH7PbdfLkyZxtIA3Uh+r7Eqdwv2dlUSwhyqT0zUAzExBp8hlAyzQexNJtjpKJJQ/2TG43itpF3Fniqp4z9CPuermIruI2mjN0EHUjrm9VrjPjUjGCWSqO6alTp6pUsKgnkTMuX1Vu3Lti23L+Dqa3GTBdp4O7xkjFeZG710Ht7UAAAMYoG3llMgf9ENwuEtwOgtt7CG4PI5Yw82EKwe0qSrd5YqN5gttVxDEV3G7p9xyfrtPBXaOTiheK2J24CDSj51kDAAATSGR/tKKfkL2TcRssBBxd2dIuYqmFhYVjx46dPn06Oki7X8WOJcSf586du/baa6NvnFn712/nv130dXMpHXgG0EXPfek3tnXo0KHDhw9Xf7HBHsN/Bb+Z+nD27NlcXD+WlpbiJIqDVRrOOHPmTCQdOXKk+lkZc+UGTbnYkdylDoa5RHQydQexShgxTtjl5eUTJ060tqcV74tbVfy7tW1Hjx5d7PWzkrviRB4s4tlSvRBC3EFiB0OnzRsssNuYuPJUiac3KSpqblxn09sMmLrTwV2jp74GvoxaFGxuFgAAEyZbbGUyB/0Q3B5Xr7ad4HYYeI2C24MRpqhX7EjuUgeC22HqonnVCyEIbtcuKmpuXGfT2wyYutPBXaMo6lJu1uSJAs+tBACAaSCyP3KDdepqNHxAc4Avo/cres7r6+tdOnueAXQXnfZcdAcDr7Fi6cWxGya4U0WsorVJQ2qyPpw8eTIXOiaXZuW7+D1r+CieAbRM0UGM0zznacTwp+TGxkb1AGtPExW77CR2+ciRI7nF4xNXub6i1dPYDJi606HFXaOTsTeni3LLAACYMNlcK5M56JPgdhWC20MS3K5OcHsaCW5XIbidy51ggtudCG63uGu0i4qamzV5RnfTAQCAURDZb8iFCxeif5v9hkYsLS3V2JHb2NgY0fa3RyJq7Py38wwgjPoZQMvFixdrjOi1zM/Pn6z1q+TN14colqjAufQGnT17Nrdg+o3xGUDLtBzEBmK1cUrWFe5sqWubd9+qMhXW1tYaOFjt4sDFjaCv0H+7aWwGTOPp0OKuUdSlbozLdF1zAAD2j2yulckcDERwuxPB7VoIblcnuD2NBLcrEtyeFoLbuwS3i9w1Wo4dO5ZbNnlGfdMBAIB6ieyPwblz51ZWVrIPUavokJw6dWqkcZDY+OGDvAsLC6VR3TNnzmSOgmH6Wj1jvqurq5m1Js0/A7hw4UIuuoNmngHsGr6eRCUZRWAlNF8fdsW5GQcidi3XVLco89j4mXmxTbueNbyxcMxUHMS1tbVjx47V+0AudjnuL7mCEThx4sT8EC/KqvdJYcPigjmiN98cPnw4LqQDx/1LTV0zYBpPh13uGruiKIa5RNQuztncMgAAJky22MpkDoYmuN1krzYIbgfB7V2C29NIcLsvgtvTRXB7l+D2Hvv8rhHHbqIC2u1qb8gBAMBIiexPhPPnz0df4siRI9W7edFtW15ePnHiRMxbb/e+uug0xgbEZvTsWkfXPXrgVTqZ0d87efLk0aNHD2+LMomSOXfuXCYPKoro7NmzsajYjNaSr7322vgz+vAj6vp2WePly5czU61GtI+DPQNoF1U08vTsxh86dCgO/YgKZ4/m60MnrXM/NiBLoZqDBw+urKy0Tv9c0D4QRy32N/Y6SiyOVxRaXChaR+3ixYuZaRwm/yBG0cVVNGr70tJSrr6XyLm6uhplG9fkXEpTYo2nT5+OQxw3jtyaMpEad5/IOdLH3uMSF6K4HsYd8HOXpwpVK/JEiUV1unDhQi6iEbGd09IM2DVdp0PRPr9rxNU+dmHsmmmrAAAwmGwEl8kcjEC0k6OrIrgdBLcHNqJ9FNweqda5HxuQpVCN4HYcryg0we2KougEt6dLXIgEt1v7Lri9xz68a7Qu/hMlNik3DgAApoTIPtDN8M8AAAAAAKABGa4qkzmA/URwGwAAAACml8g+0I1nAAAAAABMhQxXlckcwH4iuA0AAAAA00tkH+jGMwAAAAAApkKGq8pkDmA/EdwGAAAAgOklsg904xkAAAAAAFMhw1VlMgewnwhuAwAAAMD0EtkHuvEMAAAAAICpkOGqMpkD2E8EtwEAAABgeonsA914BgAAAADAVMhwVZnMAewngtsAAAAAML1E9oFuPAMAAAAAYCpkuKpM5gD2E8FtAAAAAJheIvtAN54BAAAAADAVMlxVJnMA+4ngNgAAAABML5F9oBvPAAAAAACYChmuKpM5gP1EcBsAAAAAppfIPtCNZwAAAAAATIUMV5XJHMB+IrgNAAAAANNLZB/oYXFxMeP9ZU6fPp35AAAAAGB8MlxVJnMA+4zgNgAAAABMKZF9AAAAAACmXg5ZLZM5AAAAAACAaSCyDwAAAADA1MvB7GUyBwAAAAAAMA1E9gEAAAAAmHo5mL1M5gAAAAAAAKaByD4AAAAAAFMvB7OXyRwAAAAAAMA0ENkHAAAAAGDq5WD2MpkDAAAAAACYBiL7AAAAAABMvRzMXiZzAAAAAAAA00BkHwAAAACAqZeD2ctkDgAAAAAAYBqI7AMAAAAAMPVyMHuZzAEAAAAAAEwDkX0AAAAAAKZeDmYvkzkAAAAAAIBpILIPAAAAAMDUy8HsZTIHAAAAAAAwDUT2AQAAAACYejmYvUzmAAAAAAAApoHIPgAAAAAAUy8Hs5fJHAAAAAAAwDQQ2QcAAAAAYOrlYPYymQMAAAAAAJgGIvsAAAAAAEy9HMxeJnMAAAAAAADTQGQfAAAAAICpl4PZy2QOAAAAAABgGojsAwAAAAAw9XIwe5nMAQAAAAAATAORfQAAAAAApl4OZi+TOQAAAAAAgGkgsg8AAAAAwNTLwexlMgd0tb6+fu211x7eceTIkfPnz2fayIxlpZNJUQAz5vTp0ysrK61r2urqqmsa46VCAgAAU0dkHwAAAACAqZeD2ctkDujq9OnTWWN2HD58ONNGZiwrnUyKApglly9fzmvZjgMHDmRa3dbW1s6fP3/ixIkzZ85cvHgxp0KbJiskAABAXUT2KXHhwoXFxcXs3c7NLSwsnD17NtNGZiwrnUyKApgla2try8vLcSlrXdOWlpZOnz6dadA4FRIAAGZYq51fKnMwYS5evDg/P58Hqc24hjUb4D5eigKYJY2NJ15aWsoVtLlw4UImT7+NjY2VlZXcsTaHDh0a5h3ksdj2p7FhYWFhbW0tk2eOAe6XLl3ac8R3xfQZPvQAADDVRPYpcfz48ezP7bj22mszbWTGstLJpCiAWdLks8lY1+rqaix/eXn55MmTGxsbmQA79vPD8kuXLnmBEwAAsy1b+WUyB5Mkuu27Xz8uig5+5mvQWPqMRnXvUhTALGlsPHHpV8XiiprJ0y+aBLlXZQ4ePDjYg4DiAQrDjJifcPt8gHuxjbHHDB96AACYaiL7E6E4oLlleXk5czTLAPfxUhTALGnm2eTGxkYu/bYuXbqUOabf+fPnc69ua35+fpjHFRcvXswFtcm0WbQfHpafPXs2dip3r5fFxUXfBgEAYGZkM7dM5mCSLC8v5+HpoPmftRxLn3E/dFQrUhTALGlsPPHRo0dzBTsWFxdnKdx37bXX5o51MD8/P8Drtw1w3z8D3IvnSJEB7gAAMJlE9sev03i1luPHj2e+BhngPl6KApglzTybLA1Gh1kKSnYfsjzwQ4vSdkimzaJZfVi+vr5e+kO91c3Pz587dy4XBwAA0ylbt2UyBxPj1KlTeWx2FIevRT8lOjs5QyMMcB8vRQHMkn3+wuwa9RzgHgYY426A+z6pkEeOHMkd3rawsHDhwoX8o40B7gAAMJlE9sdso+vPsLZELytzN8UA9/FSFMAsaezZ5MxfPKPccsc6GOxFNQa4z8bD8k7tyagVsYNxLsQJEuIfS0tLmVbmwIED3uYOAMD0ynZtmczBZCgOsVpdXY3pxS/uNtxlM8B9vBQFMEsMcK/LtYUB7jGl9J3cFy9ezHkqMMB95ivkxsbG4uJi7u22Q4cOxcT9dugBAGCqieyP2Z4vDYdJ+CG5sYwRHMtKJ5OiAGaJZ5N1iXLLEtyxJzjb0lcQPxjgPhsVcn5+vrU78Y9oSFR5x+G5c+dKh8V70gYAwPTKRm2ZzMFkiH5HHpht0b1tTS99HcyJEydaqQ0wwH28FAUwSwxwr0vpAPeYXjrGvfpr4wxwn+0KGfu7GzNvWV5e3k3KSW0McAcAgMkksj9OxZ9hPX36dEwvjmBbWVlpzdIMA9zHS1EAs8SzyboUmwdRtsO/qMYA99mokGtra5cvX84/+lGsV6HVIgUAgKmTLdoymYMJsLq6mkdlR/tYtNJear/f5R5YlT5jbEx0xku/c37w4MFTp071++tqNXZUY9uOHz8em5ELKlhYWFhZWRlgI7uI3ujJkyeLr/JpOXDgQBRXxUFjAxfF+vr6iRMnIvOu5eXlS5cuZXJnUWKx8ZG5yw/tLi0txS4M1ulut7GxESXfZV256Z1V761HgZw5cyaOdad1xXGJM3ESBvNNe6UtVePyY1Gx+1kDtiv2ANfDKOGcf1vPihT159prr83chw/H1ra/hCv+HUuIvcj92RFTzp49m5na1Lu0oiZre2xtrCuOQi76tuKIx760710cvkzbERuTabXaU8ixJT33t/txaYmFRJ49Q4RbohD27OxIxWbkinfElFZSbHlOalOx8hQPUBi4qjR/NRtXhWzypBvYuXPncmt2HDt2LNPqPvQAAMBIieyPzaVLl7LDtCO6oK2k6BkW4wXRC22lNmAsA6zHstLJpCiAWRL3r7yW7ThsgPtAotyyBHfE/SKmDxPED+cNcN/fFbI0mr+6uprJAAAwVbJFWyZzMG7RXc1DsqN9vFFLTMm0HbuveB+1Ln3GkydPdhrIVerIkSPrFX5cKwzZUY21rKys5Jx9ij06d+5cLqhPZ86cKR312F1sapcBkQMURSytdBjxwYMHO60odrn0+wlVRIn1OwBubW1taWkp5x9a98HN0cc/dOhQZu1Hw3GAWaq07Uax/OGfFg0wpLV4JsZCYnpU5u4VLHa/tYR29S5tV5O1PQ5QFHvOX03rt0cGKPzBDHDx7HRcQmx89ZocOQc+Jasrln/7iVA8TULsYCZ3VjxAoa+L/FiuZuOqkE2edEOKNluue8eexyXDH3oAAKAxIvtjE53G7DBtm5+fb49hnTlzJhPa7AYXRq1nyGxtbS26o52iwLEvkb/ffmBdo7ovbr9Bp8tX5Fvq/fp4HLtTp051j1NHtz/2scpTjYGLInZnz0GJ3exZbSLDsWPHqgTZDx8+HDUzZxvU2bNnO71OoKLqv0p87ty5KLruT55ix0+ePFnxadOIzEClLap3+XuCrXFMq//KZEvU8z01IVadaR3EKtrDuHsiwnHUSmtyzBI1KjO1qXdpRU3W9rgOrKystO9Ou7gKxSWl/R0kA4TXBxOF3H4NjNLoecnqflxC1Jw4PTvd7+KsjJ1t7AISm5cr3rFbjYcZ4x5XlZyhTab1aSxXs3FVyGm5xVQRRyS3eEfPKyQAAEymbNGWyRyMVfSP9nTfoguZabdV7FoOFivuV2mfMVadfxR0j32F3ZfadDFwR/Xy5cvFDl272LxYVEtO6qCvqG90dXO2MocOHYrVdYqltHQKWfdbFKuFXwMIUSadlh+6lFgkxericIf4R5ecUT/bn+Z0Ef3rnKdNFE4sP5Ki2OO/sbqKQwYjWy634Pz5851iI1EJYy0tKysrXSrt0aNHc3EjM3uVtmV0y4+jljl2RIXJtGpiyTnnjjgEmdZB8UyMhZSGH/eISpiLaFPv0kLDtb30OrMrtqRLLLR4avcs/MEMcB8pPS5Ru/KPPkX1rnhVHExxw/acCKXnYEzM5A6KZ0eoGLWOecdyNRtLhZyWW0xLsbZcLHw3bJhDDwAANExkfzyK/c/it7SLHbBO4f7aRS80V7mjFSlYX1/v0jUtFdscvcTWYrvrtNKKTp8+3al3XcWpU6dyQf2IAil9PUxPUYxdhrsNUBR7xmju6hQvWFtbG2zLW2JdUeC5rGqihIc5QHvkQjuIdWW+PkWZjDQGt8csVdpdI1p+8XrYbw0shmsP94rwFs/E1vQzvd7EU7rkepe2q8nafvHixe5jeYviwMVaBij8wQxw8ex0XOLO1e/9rt86OYBiKDy2P9M6jHHvGcQP54ce4D6Wq9m4KuS03GKqiyZBbmKbvh6rAADA5MgWbZnMwVgVO7aXLl3KtNsq/vxpaKCrUuwz7rG6utophNVprFuXQcktg3VUS+MABw8evNDrrRCRoXT0W0zs2W+NDKX7eOzYsS7zRtLJkyfbR/d2GkNWvShKu+exbT0fRuzu+8LCQmxVlYBn8WcHQnTzM7mzYjl3H94XBVWcpcr7fYux09AzKBRHoTjkOsqwZzUY2ExW2lEvf4CA5x7FcZyxwZnWQc8rYdT/9tdJtFy8eLH0BKx3aQ3X9uKA4BAVr8uNoHina9ez8AczwH2k53GJE7Z0N6PQ4pBlpjZxUe1ZngMrHvfiiRCNhExr0/2qWzw7QqeTsd1YrmZhLBVyWm4xLXuKKLaheHkJAx96AACgeSL7Y1CMh3YKSBX7ft274nUphsyWlpaKGxOiY3zkyJHYqvhH9EtzakGVF9UMHKcrzrhrYWEhNi8ytBw7dqx7Tz7y5EJ7iR54l7GPsZZYVyxtZWWlyxo7deNjxsyxo0tRRCe8tOS7l15muq04xK0tP3HiRHTjQ9TV+LM02hIif5VIROQpXUIUTmtFa2tr8d9Tp06trq5WGSLZ5Q3usbWZ6bZiv2L5rXVdvHjxzParcTodwYoVbxjFQ7xrSittGOny46Bkjh2nxzHAPepPlwvdrtIl17u00GRtj0V1Gkkc52ysMQ5rnL/xj9JsxfO6004NqVjIPXewOEunYdOHDh2KpcXp2akoQsWr4sCi3HJNO2L7M21bXB4zoU2VWHNmbZNpvRQLcNformbjqpBNnnRNihqSG7cjimikNRkAAEYnG7VlMgfjE32lPBg7uv9OY7GTG72V6Hll8mh0GvAXq64yzjhEtpynTffw+ABhq1hgZt3Rb+FcunSp2EHuORa/OLSu5yx7nD17tssXFaoURZRwccsPVBjaPoxYeHGl3QcyFl9ydKraN/xXVlZyhh3dj2wxf5XHMbuKdelIhbH7A5jVSjvq5RevnP0Gl4rjOON8ybQOOl0JQ1+1q6XGpTVc2+P6k/l2LCwsXCy8CrpU8cC19Cz8wQxwH+l0XOIsq3K/i3LIGdqM7hF2VPtcx47SE6H4/D102arBRjmP62o2lgo5LbeYsL6+vmckQ5ciHezQAwAAYyGy37ToX+3ptUZ3K9MKLly4kJnaVIykD6NTR7clNrhL6DZ2MHqnmbVNz575AHG6jc7vxsgcna2trRVjAaFK8LE0cLOwsNDphUO7om/cPtS7U8y9YlHE7pfuQpX45u6Yv6NHj1YMu5TWxp6BjNK5uof+Y7/iKGTWHWfPns3kDqLiFSvD0tJSz72Lo1Bc3ehGqc5qpR318ovhy9PjGODeLvaur6txjUtruLaXHtzQ5SF0LLD4DK9dz8IfzAD3ke7HJSpnlzoc18/M1yZmyeQRKF4BYvszbUdxsHLo/mghTsPM1ybTOpuoq1kYaYWcllvMAKKG52a16fJUFQAAJlw2astkDsakGCSMXlWmdVbsPFaZaxilA/4qjkveVdo37xLe7DdsVfoF7E5RtS6iV5sztymGGnYVO9e1h0G6F0XsY/SpM2FHdNgH2PcBFEfpdf+Gxp5IwsLCQib0Uhyg2eXlBcXKFocp0yornmi1P4Sa1UrbwEkxQMBzjyjnnHNHVM5M66D0Sjg/P3+x2lDaPepaWsO1Pa78maNNv9tcfK7Rs/AH0+99JJQel5iYyRUUlzCivQvFkux0IpRGjzs9yiyeHaH7KOdxXc3GUiGn5RYTisd9ZWUl08oMcOgBAIBxEdlvWrEj132wb7GrPD/612oWQ2YtS0tLFVddOqy5e7+33zhdbEkxnF1lbFy70nFd3QdtlwYd+n0tQax3vfOPn1YpimIYInQvseGV7ntMzOQyxYF9PUc8t0Rlyxl2dKl7pZWh55j4ds28RWBWK20DJ0WxwvcVaQ0DRHg7XQnjIjxAAK6upTVc2+OgxBZmvh3Vz47iA7mWnoU/mH7vI6HTcYl97HLN2VU6NLzLQ8chFZsQsf2Z1qa02LsUxQAD3Md1NRtLhZyWW8wA4hAUy3N0FRgAABqQ7doymYNxKO1YdQ8qtkSeYreltC9clwEiSKWKQdEuXwjva6VRmMUyGXisWPE1+Z3GYUeXPHO0qX0oWKeiiLUXi/RAU0PbW4pBpO5V8eBtf9Q0ToFM6OXMmTM5z44uI+mjEDLTjujsZ1plxV2r90HDrFbaZk6K4Y9OLQPchxm4X9fSGq7txWvOAEGzAQp/MAPcvAaYZY/SUyDT6haHKVewo8uJUH2Me7+jnMd1NQtjqZBTcYsJxbB/92+ghX4PPQAAMEYi+40qdla7xLV3FXutg0XVqyv2NqNTHZ29TK6muJDQpevbbxf3SOE98dVjxO1Kh7ud7jx2tng4ah+m1r0oSr+mX3s4oJPiuPMusZuNjY3MtKP6O5aKJ0uXF8oWxw72NfSwpXhku3/5ZACzWmkbOCmihueid3TZ31IDhGtLL2Kxs1GxM0c/6lpaw7W9uLqotP1uc/FN5yO6i/V7HwnFWQ70+XC0+D20KN5Mq1uUW65jR2x/pt1WXJkzR5vSIH443/8A93FdzcZSIaflFtOv4vPy4N3tAABMu2zalskcjMPKykoehh3V34leDOmE0XWpBogglSoGHLosp6+VlhbIYNGqUPqemtI3whbXO4phmqVFUeyY9xu9Gdj5NsX4ZKewTEsxZBQLybSuijGETu/ojQVmjh2Li4uxVf0q7tpg1b6TWa20zZwUcYBy6Tv6fRjU75DWUHomZlr/allaw7W9dPDrAEN7Byj8wQxQyLUcl5yzTSbUrXjgup8IpV+QK8btSw90l2t1sdBCA1ezsVTIabnFFO+2VaL3/R56AABgjET2m1P8ynjFtxSU9rJ6fvl4GNHhzNXs6Ddk1rLnJSUhOv+ZVtDXSouFGaq89adUcaxbp+GJxf58WO/82unBdCqKc+fOFSMygx2agRUjEV2OadizwdUHuBcPSqeQRPEEqf57r+2KPyda5fsn1c1qpW3mpOi34hUNEK4tnondf9Owu1qW1nBtL30FywCPkAco/MEMcPMaYJY9iqfAiJ5ShCi3XMeO2P5MKyi95pRehEvP4kwrM66r2Vgq5LTcYvpVrEuxXwMfRAAAmBzZwC2TOWhcsRfW75sRiuPjowsz8Hiy7uoKYhSXMz8/n2kFfa20GMro1I+uKJfSpjQMW1zvYCXTXbEolrblH21qiYqfP39+eXm5GHKvqEtYJkQVPVB49233xzrRMS8+Uumyp8Xiqku9B3dWK20zJ0VxLf1W/mJ0axoHuDdc24vx0i7X8C4GKPzBDFDItRyXnLNNJtQtqn2uYEfPEyGuqMXLe5R/e/uheIBCHP1MLhjX1WwsFbLhk24we74CF8VScdx/v4ceAAAYI5H95iwWfoY1uk+Z1kvpS7svdnhvx/CGD5m1FCMOq6urmVbQ10qLX8iu9xcSQ6bdVnEjRxGNKq4levvF+jPMWNvuov8f3fhw5syZ2Jh2hwrvj4nSy9nKFJ8/Vam3xcBT/NnpqdXJkycz044oqyixfvX18GAAs1ppR738luLFpHvFKyqWWBz0TOuguGvDVIlaltZwba9ezboboPAHM0AhD39cGntKEaLcch07YvszrUxpEL8Yc4+rfaa1ybQy47qajaVCTsstprrSYuzSPAMAgOmSbdwymYNmRc80D0DdRhQarSuIUfrTaplW0NdKozuZmXYMtoW7iqGD0l/srH29pToVxdmyn4CrPo5tj1jawsJCLmUI3cMyLcUfwQuLi4vLy8sx+5kzZ06cOBFlWzqIP5zvOtiuGNcaXmzb6upqnLm5jjrMaqVt5qQYS/SyrithSy1La7i2F3/5MGpdpvWjsdDxAIVcy3HJOdtkQt2Kp1uVE2FjYyOOcs6wI6bsPm3sd5Rz7Wd9xavZWCrk5N9iovBzudvaj2xP/R56AABgjET2G1Ls9Pb7CvZiJDS6aplWt+FDZi3F5XT5LntfKy0Omx5mbNalS5dyKW2ic5vJbYrHcRSPUkqLYk9HvWWw49IudrO4U3053XWccWn86OjRo5lcJk6NzNem9KUFLcW3/9al3gF/s1ppmzkpimvpXvGKBgjX1nUlbKllaQ3X9r6u4V3UEiuvYoBCHv649BUUHlLxRhDbn2kdVBnj3u8A93FdzcZSIaflFlPFxYsXi8/vo7rW/psbAAAwRtnSLZM5aFbx6741OnXqVK6mPnUFMYp92C7hgr5WWlzyYKPcWkp/pa101HhxvSHT6tO9KIqBkbC8vJzJFaytrRWD1WFlZaV0TGG7YgnElEzrYM+bZfuyurrac6BesbgG+925UZvVStvMSVFcSwPRy7quhC21LK3h2l4stFAaseyusdDxAIVcy3HJOdtkQt2i2ucKdlQ8EeJCGmWe8+zYHQld+pOhXUY5j+tqNpYK2fBJ16/SMqldvz86BAAAjILIfhOKX62uS7+RrIqGD5m1FEcqd4mP9LXS4nD/YYqi+ui62P5M3jGKQ9CpKErHIM7Pz1+4cKE1Y3Xr6+vFfRnM6QrjjIvxo12xGS35d0HsYPeXvq+urmbWHYsDvV63XRT4AKXa3axW2lEvvyWWmUvfUaXitRsgXFvXlbCllqU1XNuL2zxY/L2WWHkVAxTy8Melr6DwkKLcch07YvszrbPSLxrFRu4+Je13gPu4rmZjqZDTcovpLsqzeCMerP0AAAATLtu7ZTIHDSp+Z3iYLlWxXxNK+4/DqCuIURzZ3OV7zn2ttPTd8KXj4aoo/nBZpy+Tl75DvfZ+Zc+iGCZCXhoh6f4qlnbFuESXsEysa8+XzKOoY3ps57XXXltamWNiJPUcZ9+u+uDI8ZrVStvMSVHc334vSgNEL+sN59aytOZre/Fy0eU1TJ00FjoeoJBrOS45Z5tMqFtcHnMFO/qKSMdVImfbEce3FR7Pv9t0GeA+rqtZaL5CTvgtprgvo7C0tJTrAwAAxkdkf+RKX55ao9N9jvKsYvgBfy3FOH6X5fS10uKAs8Fe49pSjOOETLutYgylrzfEVNS9KErf+9LXZpw6dSpna3PgwIEoh93xjp0US6B7DYz6X3xfbEVHjhypEispfo/i4MGDmTZJZrXSNnNSFNfS749gFEusZ7i2rithSy1La7i2l4ZrM60fAxT+YAYo5OGPS2NPKUKUW65jR2x/pnUV1/biO/N2g/hxpc1JbVozlhrX1WwsFXJabjGdxF04KmRuepsohMwBAACzJZu8ZTIHTSntxEUnJZMHUhzdVXsfrdhnjFX0DJnuURp97TLstd/ISbGPP1gsonTsWpcOY7GDWfsPOVYsitIIec9wU/E9RFGjMq2CYhCpS1hmT+ae2zaw4msIqg/Zb9KsVtoGTopive33JcrFgfg9C7/fi1J3dS2t4dpevM4M8Prq4u1gsJrf0wCFXMtxyTnbZELdik+I+g3jF+tPKzyef7TpMsA9jOtqNpYKOeG3mPX19ThYgyl9NeHJkyczeUe/LUAAAGAURPZHbmlpKTtGO6JDeHxQxW+ZhyEfDBTFinLROwYYiBm9vuLI5ugxZnJBXyst7XlGVzaT+1Qcq9fphTqlDydq79/2LIoLFy6UfmsiOtuZo7OYN3O3udj1FentilGkLgGXPeuKbb6881KlmCsK+fDhw+3PpQ4ePBgT4+D2VaSlezRwZRidWa20zZwUxf09duxYplUzQLi2livhrlqW1nBtjyXnOtpUuc7sUUusvIoBCnn44zIVA9xbik2IVhC/9GUnOU+ZcV3NxlIhp+UWUxQbWdpo7KvOAADA1MmGb5nMQSOis1mMXnaJIlZU2kerd6xVsc/YUj1cUDpkrftG9hs5KS2HfofVlr6Xp1OXvKX0fdX9lv/ly5dPnDjRKXhYvSiiEPqNkBfflXuw8hckYoP7CstEhclMO4av/6VKozoTNQCxZVYrbQMnRUzP5bbpvte74nJU+vqhKR3g3nBtL30nSPV7QadrlAHugyleVPsN44fiGPHiF+dC94DzuK5mY6mQ03KLGUDprg3wrAEAAGiAyP5oFUfODRm8WF9fL3ZBh3lzaqnSze53GH3053PmHbHlmVamuNLuPfNiYG6wcijGtUP0bDP5tjbKns1UDCZWV7EoSl9Us7S01CkS2nK08NPAfUVeilGkLqH5PV/uH13Uo/g1ki5PF8ZoJittMydF8SXK/RZd8XzpGa7t96LUXV1La7i2D/8+kqghxW0e5olIFwMU8vDHpRgJHdFTihDlluvY0e/RLw3i9/sG9zCWq1kYS4WcllvMrk5D2/v9XhAAAEyjbP6WyRw0ovjKz5iSacOJrk0usc25c+cyeWjFAX/toofYPUhejJ2GnmGQWgYmhvn5+bNnz2aOrkq3s0pIpLT8FxYWer4/JTr77bWiU0i536IoPoMIcZhKI+SlAZCeneXoZRcDMi1d4gPFeFEnBw8ejOXvimWeOnXq/Pnz1b9dX/prCQcOHOgSYOkk6k9sQPVV92VWK+2olx/ioGSmNlFbuhypKNVi0H5Xz3hav2didzUureHaXhq6jILtPgq29JVAu0YUOh6gkGs5Ljlnm0yoW/EKUOX0Lyo+IS3qOcq5WHShgavZWCrktNxi+hXbnzvTpq8B7sUIfByLfodSAAAAVYjsj1Dp17gvXbqUyYOKHmAuq03POGxfSuNl4fDhw6Wh4aLSbnb3Jw3FlXbvz0c/M/O16fdb8qWF2T0GURq56GvodpRhlE+XTa1eFBcvXiwNU3Z5U34xdFL98VIcweLqokAyuaA4KDAqasUq1JfSSEQUciZPjFmttA2cFGtra7ncNhVX0eWCljk66Pei1F1dS2u4tpdW2upb3ilePPAzjO4GKOThj0vxiIzoKUWIcst17Ijtz7TKimPcS+8jmbuDcV3NxlIhp+UWE+Ja2v5kdNdgV5uKonziuLRMyPMJAAD2s2wEl8kcjF7xPQXR8ayxv1A6oqiukGMxzBVdqvxXm8XFxegFR6+8Jf6dCQVV4lfFlVaJnKytrRW/f74ruoexYbHkVn8t/h1bcuDAgUy+rSjACxcu5HJ7KR3r1hLLaS+W5eXlTmvsFL4eoCguXbpUGtkojTCUhjFDbGqU0m4tiuoaW1iMw+wR+9jK38nJkydLt60vUYZdov0tseXFlwK0xOyr2z+aGjvYejh18eLF7UrxuVoRx6v4AuMopdZiazeTlTaMevmh9ELU0r780kobBRt58o9tsQ253A4GOBO7qHdpDdf2LoODYy9isbGEEP8oBl1D3LD2BCR7Fv5gYhtyBTt6FvIAsxTlnG0yoW7FU2DggGfpl1LaRYXJrJ2N62o2lgo5LbeYvpTG/GOzM7mXTpf9yXxqAAAA005kf1Siv1fs3EZ3LpOHUxrMqt7v6im2MxdaJvqrXTrb0Xct7aX37NQVV9ozPBHd4Mx6WydOnMgcnUXnszT6UKUY9/T/W+Z7fTs/qkQUQvtKO62r36IorQ8HDx4sfW5U2uvu+b7tKOrYwcx9W12CEWtlv7JXReu9NVEOp06dioXk4rqKwsyZb6vfky7qdpTG8vJyHK+cVKtZrbSjXn4ovS4dOnTococXRUT9Lx3ouatnuHaAi1IXNS6t4doexyhXcFtdDm4UfhRv5iszQKy8igEKefjjMnUD3EPpCbtHZu1sXFezsVTIhk+6wZQ+tIjL4IhuZyGafLmaNouLi6NbIwAA9JQN0zKZgxEr7Sl0H7jZr9IxSdH9yeThFHu7renFAEJP1XtkxZVWj5xEgRdHj1UX3fNYQi6rHwMUSEtsbZfu/8BF0SlCXjwEMaXTQL0uWvGiPeGFnmGBYilFgcdCWkpjI53Mz8+f6/VLBesdftKtX4NViepmrNLuGvXyY6/7qjMh6m3rFNhzgvSMXg5zUSqqd2ktTdb2KMPuDxpK7Rb+nooxotDxAIVcy3HJOdtkQt2KF/nWZXkwZ8tevLKr+nDzsVzNxlUhp+UWU9GQA9yjkuQ8txWnVeYAAADqI7I/KnveiBAOHjyYaXUo9pmjJ9zqnQ6v2L/tFJuLlR7e0Sm4Nl/t2+fFVVQJT6ytrXUJH0RSbNjq6mos/NixY/Hv2JdMK4ieefUC7DTWbVerZLr39jsN3R6gKDq9qOZk2fcKinGrlqiiserYtZbIVqzGYc+KenbXz507N0yIpyVWGtuWS+wgDl+XAo9DH8UYC4kyib2Lf4TYwThMpUUXeXK5dZvJShtGvfzQfVRuLLnL8qOiRmr+sS3+zOV2EIcgs+4YJmZa79Iaru1nzpzJrAW7NTaWX/zRhpYTJ07E9uQf23oW/mBiN3MFO3oW8gCz7DGNA9xD8XV6e2S+rsZ1NRtLhZzwW0ysKBddq9iLXEGZTrWo3pErAADQl2yVlskcjFj0I7LEd0SXMNPqUzo0bb2Ol8TvGbG0apjCxAAA//RJREFUsLCQCdtiFUePHu0UBm9ZXl5uvcS0uuIwqX6jE+Hy5cvRD+2+bS3Rd47l97uRpaJA4oh36e+3RIYot+5xv5ZhiiJKoLglXWaPvnmXnn6Igora216v9gQnT506lQkFsfDMtCO2LbYwk3uJsiodv9hlje1ax6X6OP4oh9i15gcdzkal3aOB5a+urpaGm1qiPCPDniXvieHEEc+EDmq5KO2qd2l7NFnbY0eixuaCyrQuGnsKf08ks2fhD2aAQq7luOwp+T03zRoV45DDty7iirrn+hNn1mADlMdyNRtXhZyWW0x3G4XXFMbR7+u4FOtkXHszDQAAqJXI/kiU/kZY9fBlFcXQQ1heXs7k4UTXNJe47cDOWL3o2HcJnJWqHgvYs9JQPZgSZRs95Jytf9HnrD6url3sXS6iT93f3jpwUcSO5AxtFhcX1wtPd2Lt1aMPLbGcqHUx757gbPdDHIemuKLY/djHliNHjhxu0/M4dn8jeIidHeDtBXvEPg5WJaqbsUq7a9TLv3TpUpUo4a6ot7svN4oKllO3xZ+t6Z1E/cysOwaI8O6qd2ktDdf20itMF+2FHzubU7f1LPzBDFDIwx+XOJdzzh27N83a7anDIbY/0/oXRyeXUhD3+sxUwbiuZmOpkBN7i+n3nl5R95LpdMGftMcVAADsK9kqLZM5AEas+AWMo0ePZlo/ir9id2g0Q2MBAAAAYDKJ7I/Enq/tHjhwoPZXdYYzZ87sGW5e1wD3CxcuLLa9k7X4PfjThXcht4vN6D7ouVSsNAoqF7E9EK3nUOai9fX1kydPxgZ0H4gfKzp69GhruHYtYlOvvfbaLuNuY42rq6sVq8EwRXH58uU9h6b77Gtra1EUmbUg9ij2a09BRX3I5O2FdxnHVnx5QL8jR/eMQWyp/mrYqIexDe2VuVTUlii048ePj2VM3mxU2qJRL//UqVOdxtRGSRbrbYhZdgs5/hEX6kzoYJgzsajepRU1VtvjohGzt+9Lu06FH6dte2UYZlh2FwMUci3HZc9Vd7BnllXEtaK9GGPLh29dxP7uGbEdFSluJZncj7FczcZYISfqFhML3/OFsVr03Oa4kO6pk7vfIgAAgLHItmmZzAEwYsWg5WBfdN/znt0QXfVMAwAAAIB9QGQfGIniu3UHG857vPB+5bq+yAEAAADALMngUZnMATBixe/hnzp1KtMqW1tbK36p3rfKAQAAANhXRPaBkcig+44DBw5kQp+KL5gf3duRAQAAAJheGTwqkzkARuz06dN53WmzsLBQ5f0v6+vrx48fb/+1tF0D/GouAAAAAEw1kX1gJObn5zP0vmOAN7ifOHEiZ94Ri11fX89kAAAAANiR8aMymQNg9M6fP18Mjw/syJEjGxsbuWgAAAAA2DdE9oGRKI5Nbzl69OiFCxcyUwdnz549dOhQztBmcXFxbW0tMwEAAABAmwwhlckcAE3p8jr2KlZWVi5dupTLAgAAAID9R2QfGJWLFy8OHL7fY35+/ty5c7lcAAAAACjIQFKZzAEwPuvr6+fPnz9x4sTxNidPnoyJwbtdAAAAAKCdyD4wcmfPnl1aWsrHif04fPjwmTNncikAAAAA0FlGlMpkDgAAAAAAYBqI7ANjc/HixdbLaYKfWwUAAABgGDmYvUzmAAAAAAAApoHIPgAAAAAAUy8Hs5fJHAAAAAAAwDQQ2QcAAAAAYOrlYPYymQMAAAAAAJgGIvsAAAAAAEy9HMxeJnMAAAAAAADTQGQfAAAAAICpl4PZy2QOAAAAAABgGojsAwAAAAAw9XIwe5nMAQAAAAAATAORfQAAAAAApl4OZi+TOQAAAAAAgGkgsg8AAAAAwNTLwexlMgcAAAAAADANRPYBAAAAAJh6OZi9TOYAAAAAAACmgcg+AAAAAABTLwezl8kcAAAAAADANBDZBwAAAABg6uVg9jKZAwAAAAAAmAYi+wAAAAAATL0czF4mczC71tfXr7322sM7jhw5cv78+UyDZu2T2hi7eeLEidi7+fn5vNRuO3jw4NGjRy9cuJD5Oht+CUyd06dPr6ystE6N1dVVF+oJ4bgAdKfRAgAwLiL7AAAAAABMvRxlUCZzMLtOnz6dB3vH4cOHMw2aNfO18dprr80d62p5eTlnKBh+CUyjy5cv56HdceDAgUxjfBwXgC40WgAAxktkf9ZcuHBhcXEx29FzcwsLC2fPns00aNY+qY2xU4cPHz548GDuZ5ulpaVTp05lvs6GXwLTZW1tbXl5Oc6I3aN8+vTpTGN8HBeAnjRaAIAJl02TMpmDUVpfX9/tVo9UND5zlW0McGdyzHBtXFtb2/Pi0i6OHDmSs7UZfglMLwOpJ5PjwmSKmnns2LHSOGTRoUOHPNChdpPWaNnY2IiTItfXJk6WzDG02OUTJ07EXSAX3VnkOXr0aOTPOQEARkZkf9YcP348G5U7rr322kyDZs12bYy+YpXeXVhdXc15bmv4JTClPHCdTI4LQCcaLWFjY+P8+fPx3/wbAJhI2SgpkzkYpWLPenSKwzj065kcM1wbi33DlZWVvjpKwy+B6RWX7jzqO6I+ZBrj47gwUeIeOswXJmPe8+fP57JgOBPSaFlfX19dXc0tKFPsGfUrduro0aO5uP4ZyQAAjJTIfv3Onj2bTbkRKw2JGuDO5Jjh2njy5MncpdtaWFiIE7Nl9yvd0SHM2doMvwSmlweuk8lxYRqVvq6jJW4imQmGM2mNlgsXLpS+uimT6xB3hEOHDuVye4mcHpsBwOTIO3SZzMEobWxsFEeBjMLy8nKuso1+fXfFVvTwQ2GaNF3bP6u18cyZM7k/O+K4ZFo1wy9hlkz7WTkAA6knk+PC5Ig2XtbC24oLZiQdP3783LlzcSuJfxw5cqT9V8T3OHToUC6ROuzDG1YYe6NlbW1tZWUl193VkIejU/x/fn5+dXU1TrezZ8+eP3/+xIkTx44d6xI2jxLLJQIA1Epkv37FQb0jUhpfmOEhxUydWa2Nly5dyv1p01efbfglMNU8cJ1MjgtTJ6poVtYOMh8MYXIaLefOnevy1CpkviFcvHix+yq6W1pa8tJBABi7vDGXyRxMjGKP5vjx45k2EP367orfPZiukUnTtf2zWhuvvfba3J8d/Z62wy9hlkz7WTmA2MHc1R0GUk8Cx4XJsds+XFhYOHnyZJVQ2/nz51uz7HHkyJHMwdD24Q0rjKvREmUbtTdXeVsHDx48depU/tFmmMNROmA9mrKZ3EGcm0tLS5m7jXf2AQCjILJfv7W1tWh0RgesimzrtYmGaab1UjqyZFaHFNclC6VNJkyJ3Og2mTCRZrU2Fn+iq9/e2vBLmCVZBG0yYXZ54DqZHBemyMbGxp5huLvvz26XualJFmubTJhpY2+0xMV5odqvEucMA+kUkQ/Ly8vnzp27dOlSK+fFixfjzy6/CXvixIlWTgBgLPKWXCZzMDGi053HZseQQ0b067ub9pFJ07X9s1obiyO9Yk8zrZrhlzBL9uF4wdjB3NUdBlJPAseFybG+vr4bhauuGC1vuXDhQuZgOPvwhhXG0mgpfZn6ysrK2tpaK0Pxih0GPhzFkfR9/frBmcJL7sN+HvMAAIyIyP6YZUOvzZAtYwPcu8tCaZMJUyI3uk0mTKRZrY3Fx2/nz5/PtGqGX8IsySJokwmza1YfcU07x4Vpsba2tmc4+/LycumLanIGapLF2iYTZtq4Gi0nT54s/dpGTDx27Fjpi2pyzv6VvqX+0KFD6+vrmaODTsPiV1dXMwcA0Li8H5fJHEyMYlPTAPeRmvaRSdO1/bNaG4unbb/Ps4ZfwizZh+MFi8PyDKSeBI4LM+DYsWNZfdvs51tMvfbhDSuMpdGyO7ii9SMGObVN8YodBjscxYEcA1z8S18Esx+qBwDQJJH9MctWXpshW8YGuHeXhdImE6ZEbnSbTJhIs1obi934ixcvZlo1wy9hlmQRtMmE2RXX+dzVHR64TgLHhalQHMh+7Nix0umhNQt1yWJtkwkzbSyNluLbcWIzzp07l8llV+yQaX0qfmMk9PUW9tKNaZ2YAEDz8mZcJnMwMYpDRhoY4B5dp2htln6Xcnl5OZawsbGRWYewvr5+5syZlZWVTj9GFO3b1dXVkX539PLly7FHUQK7inu9tLSUabd15MiRvpr9kTmO3cGDB3O5BVEOURqnTp3affdkTw1sf+Q5efJkrKXLb0bFKo4ePTrAGJ2xRJlq36OoyXHgWqXaUlxyp18kbr00d/gldNfwuRblFiVcfNdpS6wryrbLuho7K5sslrhmxrpiv3LRtxWbvee6GoWQaTtiYzKtVlEIcbXP4jt8OA5N8fLezB0hjOIi2d24jkszdS+2/MSJE3Gy5EJvK1Zd3MFRG+kNpXtljn/HzkbB5mp2xJSzZ89mpq4avpCOTpRMbnGbAQp8GKM+2WN3YvasCocPR5WrfmvYFVuY82+L+pMJbWJFsfDMsW10zcjBjKKo41xoL95QPCmGabTUpXjFDoNdW3LmNoPtSLGg4qqVaQAAdRDZH7Ns5bUp7UhUF635XNAOLch2WShtMmFK5Ea3yYSJNKu1sRgq6rffOPwSZkkWQZtMmF1xnc9d3XHYQOoJ4Lgw+U4Wfp7yzJkzraTzBriPXhZrm0yYaWNptKzuvPflyJEjpasrXrFDpvUpLvU5/47l5eVMq2xlZSVnbrPe6wXwAMAo5J24TOZgYhRbYsdHNsA9OlOlQxhLRc72b1dWF23XQ4cO5VL6EQ3gXER9Stuo1R08eDAX1EFrDFDm7tPCwkLPEh7R9sd6FxcXM1OfYrOrD+9rLMo00j0qfRtuRdGXrGUJpRo+186cOVP9ArIr6vCe8bWjPiubLJbYtWsLX03vrvVN8tjI/HtHlwM9jOI5uBteiC1p4I4w6otkqXEdl2bqXqyl06D2Lk6dOpXz122MN5RWZV5bW+te7FF7W0so1cxRa1KUam7ijp6XzVo0ebIP/9i94sk+6hvWYEZd1CNqtNSueBBD67LQl2J1imtCpvWpeOuJAs80AIA6iOyPWbby2kRPNdMG0rNvEw3c6Hx26nVH+zua77WMxoh+Qqy62J9st7S0dPLkyVpWV2qwyGNLbHn1+MLFixePHj0aHbacuYMo3ij86osd9fZHZYjDXSUkdPjw4d0hdNU1P8B9FHsUNbl7Ne4k5mr1lodfQndNnmsbGxunTp3qXsLRAY5D32ldjZ2VTRZL7NTKykqn/YrrbVTL9pcENPaI68KFC+1bVVxLnDJx7WrgjjCii2R34zouzdS9KKXuZ2JsQBRmA6/KaBn1DaV7ZY7dLH0jUcwS5ZyZumryijGwOKC5KTvaj29UiZzaJtMa1MDJvudUjaPW72tForruOdZx28q0No3dsAYzoqKOc6H7idBJzBXz5lJGr3jFDpnWj7Nnz+bMbQa4ckYDKWduU1qvAIBRyztxmczBxIieXR6bHUO2oEr79dHXyz/6tLi4uGdwahfR5O7UfYjuauxXy8rKSpeOc7Twc3F1KG0zVxdbmwsqiC5VdDQyX5nYxyj5lpzUQZf4wCi2v8tmR1JsbdSWEP/okjN6YVUqRmltzLT6jHqPSkMNFUVXtJYl7NHwuXay8KKBdocOHYqy7RRZbYnzJZc1yrOy4WIpRqjaxZZ0CVYUB9RG5czl1qpY2nEs4nTIP/rU1x2hmYtk0ViOS2N1LxaSudssbL+hOZKioE6dOtVa0Z5TMg56LqJWXQ5xJMWR3b76juqGEnUsCi3/6CwOTS7ithq+YjQgCqQYz+zrtB1M8yd7HJecYUe/NTy2OefcUXqyj+6GNZhmirr2RsuIFA9iiImZXFmxrAY+cKUx9kuXLmUyAMDQRPbHLJt4baLPkGkD6dS3iXZtMULR3WBbcurUqZy/T0eOHKm9q9mzG9Ndz25hFFGnKEAVPd8cMIrtX1tbi6LOHP2L/a1eMYbvaVcx6j2Kbc6s/YsjWMsSSjV5rq2vrw9WyEtLS3sGg476rGyyWC5evNjvKMDY/lhLVLn8e0eXAz2M4jnYmh53hC6hyVKD3RFGfZEsNa7j0kzdOzPQiNvBDl9P472htKb3LJDuB7HJK8aQ9pyzi4uL7V/PCKXh10wbvSZP9uJdtd8aXvFkH/UNazCjLupi8VY3ontZqeJBDJnWj+JFbLn/17e3FBcVp22mAQANyjtxmczBxCg2uQceVNFS2kpsd/To0dIvLUf/rrR7u7CwUKXrV9qK7vl16+jEFcfFHjhwYHSdzeLAoAGGwpSOqDt48GDPLx5HhtKxlRWH94Xht393A+LIVvwGe+l4nagtmdxZxY7nkJrco5biaRt7mmnVDLOEJs+1SC0dS3fs2LEuM0ZSbE/76mLtmVamlrOy4UtQ6XPGqIqdql/sUfGgt4uVZtZajeuOMK6L5FiOS2N1r1iqMSXTOosVLS8vx0Uv/67V7sEayw1lj1jInkBxuHjxYun1ZFoaLRWdO3eu9MSJMhn1to3lZB/+sXvUipxzR8WLcGTLGXYMcMMazLiuq2H4Zs8oFA9iGOBw5JxtBnsmG0o3aRLKCgCYGSL7Y5ZNvDZDtvaKfZulpaXoYOcfbQ4dOhTdnujjlaa2RH+1eg/wWIdfborWfzSIo/cbHezoUZ85cyY2stPYyn57Yt2dPXt24DFAUSxdukbFct4VM0apRoaWKJbucaLIkwstGMX2Z/JtxYGOjYxNPXHiRBypEKuOP0s7fqFixYhdyxl21Ht8W3LRt1XjHkUxdjlHuohjFyutZQl7xI5kjtsaxbkWxdJpCaFVyLGWlZWVLvW8vWxHUatbmiyWWFSnYxp7F2uMAlldXY1/lGYrlkDkzEXXqngOdhr8XfsdobjqXbGKui6Se4zruDRT9zqdjLFHn7vGnT8fGeIEiX/EdS9KOJO3VS/DvuTSb6uxG0qUajGoWtTpIDZ5xRhSlE+UUq5yW5ywmdYmtjmT22TaKBUPza4RnexR7DnDjn4bz8XHQqX1ZHQ3rMFE+eTSC2os6tobLSNSPIgh0/pRPMQD98Xi0pGLaFPlAScAUK+8DZfJHEyMYqu1S0u1itJWYohWX5WfG4o+YM7QpucQupWVlcy6o6/vTEbmnG1HtO0zrW7Dj0wqbm2UbXSfM7mCS5cuFRvhpZ3conGNrIq1FLe5Z4+vYsdzLAbbo5biadtvH2rgJTR8rhWHC1esqLuij3ym1xt5h6/VDRdL8fAtLCzExTOTu4orfM5zW1EImaNWY7kjjOsiOZbj0mTd2xOq6vdknBx13VB29VXmYYoaLS2x77GKqOHtct0dNPMi7WJRNHOyF0/Yfp9QRCXMOXdUvAiPqxk2rqJuKda3fps9o1A8iKHfw1G6kJ7tlk7iiOQi2kxCWQEAM0Nkf8yyiddmyNZep2BEy8GDB7v8HlCnr8Bmcmfr6+vFjs3S0lLPDka0nqMLkTPs6GsMZb9yHW0yobLYtuLOhmPHjmWOzqJASvve1cMxOUObTKhsNxIUh7tiD/DChQutWdpViXoM39Ouosk9ahm+Gz/wEho+10rDuFHgXS4jLefPn28fzNp97zJTm0yobBKKJZw4cSJzFMQCV7v+QmhcGTJrrcZyRxjXRXIsx6XJunfktmPW5+fne56JIVYUJTCiEZbjvaG0iy2p8miqZYoaLaEYfu1UXM0PcB/Xyd7YAPeizN0mE0ZsXEXdUlx199t6M4oHMWRaZaVnTUzM5D7VuzQAYGB5Gy6TOZgYxZZqdP0ybSClrcS++gvFJUR7ONPKnDx5MvPtGGBYVbEcqvdw+zJk2z46IDlbmwF6B9FJyZnbVDn0Y+ybFAdXdQk3tQzc8WzGAHvUUqyufZ1iYbAlNHyuFQOGVYKiAxiyVjdcLKXf6644inpXMarT/TI7sOI5GPqqrsUldN/UcV0kx3JcGq57u1HoXT0DuROrlhtKmJ+f7/coT1ejJZSG2kpFDYlzJLZkpIH6XWNsEUVq5tsx2wPcx974HKzRMmrFgxj6LZbSR3XDhLJzEW2qlDAAQEUi+2OWTbw2Q7aMi32bliPVfo2rtLsYnd5MLhOLXSz8MFlfb3As9udH953vXEGbTKimdGerjxBquXTpUs7ZptN4tT0yd5tMGLHSvl/PENLwPe3RGWyPWobvxg+2hIbPtdIiOlrhlx/bRW3vObI2F90mE6ppuFhid4rf9a9+yYoNy3lu63CzA9wbviM0cJEcy3Fpsu4VI1b9noyTo64bSksc975i6A1fMYZUrJldHniUnrCZNgLjOtnDfhvgPsaibhnL04ueSp/tZVplcfXIOdsMvHelhTzMUwEAYDB5Gy6TOZgYxSEjQw6DGLipv2t9fT3nbJNpZYqt5WgWZlpljUVQh2nbR8ekGHgZeExb9G1zETsWFhYyrbMx9k2Kx6hnXR2+No7UAHvUUjxt++2SD7aEJs+10uvAiDp3Q9bqhi9BhwrvfegeKC4VO5gz74i9yLRaNXxHGONFcizHpeG6V/ounirvfZhAA1x+i5V5sK/cNHzUhhenVfG7DVXEXP3em6obb4to+PIf+CJcrD+jboZNQuNz+GbPKBQPYuj3cJQ+ThqmtZOLaNPz4gYAUJ3I/phlE6/NkC3jYt8muhx9NWqLX4ftPoamONKrr4FiLcUQTM8fZRtMLr1NJlRz5LYv0A2Li4uZ1o/SwZRVDn1mbZMJo7e0tJSr3NGzG9lkpGMAA+xRy/Dd+MGW0PC5Vsw5okGcufQ2mVBNw8VSXF1cBDb6fC1EMSA7okdczd8RxnWRHMtxabLuxVHL5B3z8/Pro3kvewNquaGEKL1+j3LDV4xhFN+p031TGx7gPsYWUbQlMt+OfhvPkT/n3FHxIpy522TCKI298dn804sqigcxZFpltSxkV/FCHfqtnADA8PI2XCZzMDGKQ0aGHAYxcFO/Xc7ZJhMKir2waKvHLvSr2McZUZhomLZ9aeO53y75ruhE5yLa9HwTbcN9kzi+u4rHKA5c5uugltpYr9yZbQPsUUvxtO231zPAEmKDM+uOkZ5rxWMXdS/T6jZMrW64WEr7vAOMji0uZ0TFW8s5mHO2yYSC4upCAxfJsRyXhuteS+TPTAUx15kzZzLfRPrcZXfHuG4oseqceceEN1oqitoeWxX7kltzW0tLS5mvPuM62VtiZzPTjjgimVbNwBfhYW5YgxlvUbdE9c6sO2KrMm18Sq/8/R6O0oXEhSKT+5eLaDMJZQUAzAyR/THLJl6bIVt7w/dtir3cLn2bYvO3yhdei4q/+TiiL9/n0ttkQgXRz8l52lR853dRcSRl92GjLZm1TSaMXjFs0bOuDl8bR2qAPWoZvhs/wBIaPteK14EwotG0ufQ2mVBBw8VS+taWAQa2Rk3LmXeMKAjY8B1hXBfJsRyX5m9/xZHZISYOHNEbo1puKCsrK5lWWfNHbWB7imi+wm/Oll63M61u420RDXz73jXwRThzt8mEkZmExmfzTy+qKB7EkGmV1bKQXcUrTBj4rUIAwMDyNlwmczAxikNGouuXaQMZuKnfLudskwkFpe3JWowoTDRM277YK6/Sm+gil9Km5/fP6+2bRCd6eXm5+GbQinrW1VpqY19GvUctxdM29jTTqhlgCQ2fa8XaPrpjN0ytbrhYinGnqGyZ1o9i37lLtHkYtZyDOWebTCgY10VyLMel4bq3a2NjoxgVLIo8AwzxH8ZU3FDGddSadO7cueJRiCk94+p9GdfJ3lJce1T4TKtm4Itwvc2wKsZb1C1RvTPrjjiVMm18igcx9Hs4Shcy8N7F9TkX0aZn8QIAVCeyP2bZxGszZMu44b5N8fWii4uL0dzv18GDB3P+Hf1udkW59DaZUMGxwpuMB/sZuJbSaEKmdZb52mRCTS5dunR+25kzZ6IutYt+Y65yR8+6GnNl1h0jOqxd1LtHLcN34wdYQsPnWpRPJu+oGOMYQK6gTSZU0HCxDHbaFhWXE9uQabUqHseR3hHGdZEcy3EZy+2v+CuKu2LtkTrwsNdRmMAbyrQ0WvaUT2xkla8xRFHnDG0yrW7jbRFFaWemHT3rzx59neztMnebTBiZSWh8Dt/sGYXB9mWP0rNm4L2Li14uok2sIpMBgKbkbbhM5mBiRDs8j82O6Ppl2kAGbuq3yznbZEJBsaM6vOgArq6ujqh3P0zbvtgRG6Bs2xWHoPX8dmgtfZOzZ88uLCzk/EPoWVdrqY1VNLZHLcXTNvY006oZYAkNn2u11/YuhqnVDRfLmTNnMtOOBgZSD6PhO8K4LpJjOS5jv/1tbGycPHmyePrsEcsc6XsHpuuGMvaj1pjij8eGGjdyvC2i4nGM7cm0aga+CA9zwxrMJDQ+Y42ZdUe/zZ5RKB7EMMDhiFM4Z95x9OjRTOtTlGQuos30/gY1ADCBRPbHLJt4bYZsGTfctym+CbIu0SvOddQql94mEypYWVnJeXYMs5Glg2B6dj8yX5tM6F+sq9g57MsAoed+a2NfGtijluG78QMsoeFzrViSA7wsuaJcQZtMqKDhYilW6cFeGFBLRLKKhu8I47pIjuW4jPH212WY+66DBw8O2ZzoSwOX31puKJPfaFlfX98TVaxemZsc4D7eFlGxsvVb2we+CGfuNpkwMpPQ+Gz+6UUVxYMYMq2y0p+mHeAHQFpKz8FJe8gHAPtB3obLZA4mRnHISHT9Mm0gAzf12+WcbTKhoLi6wX4lrDHD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data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = propagate_blockage(M,P)\r\n y = '';\r\nend","test_suite":"%%\r\nM = [0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0\r\n 1 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 1 1 0 0 0 0\r\n 0 0 1 1 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 0 1\r\n 0 1 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 1 0 0 0 0];\r\ny_correct = 'Node 2 blocked! It may affect 40.00% of the plant.';\r\nassert(isequal(propagate_blockage(M,2),y_correct))\r\n%%\r\ny_correct = 'Node 4 blocked! It may affect 16.67% of the plant.';\r\nassert(isequal(propagate_blockage(zeros(6),4),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0\r\n 1 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0\r\n 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0];\r\ny_correct = 'Node 14 blocked! It may affect 93.75% of the plant.';\r\nassert(isequal(propagate_blockage(M,14),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\ny_correct = 'Node 18 blocked! It may affect 5.56% of the plant.';\r\nassert(isequal(propagate_blockage(M,18),y_correct))\r\n%%\r\nM = [ 0 1 0 0 0 1 0 0 0 0 0 0 0 1\r\n 1 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 1 1 0 0\r\n 0 0 0 0 0 0 0 0 0 1 0 0 0 1\r\n 0 1 0 0 0 0 0 0 0 1 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 1 0 0 0 0 0 0 0 1 0 1 0 0 0];\r\ny_correct = 'Node 2 blocked! It may affect 64.29% of the plant.';\r\nassert(isequal(propagate_blockage(M,2),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\ny_correct = 'Node 13 blocked! It may affect 80.00% of the plant.';\r\nassert(isequal(propagate_blockage(M,13),y_correct))\r\n%%\r\nM = [ 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1 0 1 0 1 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 1 0\r\n 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0\r\n 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0];\r\ny_correct = 'Node 14 blocked! It may affect 95.45% of the plant.';\r\nassert(isequal(propagate_blockage(M,14),y_correct))\r\n%%\r\nM = [ 0 1 0 0 0 1 0\r\n 1 0 0 0 0 1 0\r\n 0 0 0 0 0 1 1\r\n 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0\r\n 1 1 1 0 0 0 0\r\n 0 0 1 0 0 0 0];\r\ny_correct = 'Node 2 blocked! It may affect 71.43% of the plant.';\r\nassert(isequal(propagate_blockage(M,2),y_correct))\r\n%%\r\nM = [ 0 1 1 0 1 0 0 0\r\n 1 0 0 0 0 0 0 0\r\n 1 0 0 1 0 0 1 0\r\n 0 0 1 0 1 0 0 1\r\n 1 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 1 0\r\n 0 0 1 0 0 1 0 1\r\n 0 0 0 1 0 0 1 0];\r\ny_correct = 'Node 6 blocked! It may affect 100.00% of the plant.';\r\nassert(isequal(propagate_blockage(M,6),y_correct))\r\n%%\r\nM = [ 0 0 0 1 0 0 1\r\n 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 1\r\n 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 1\r\n 1 0 0 1 0 1 0];\r\n y_correct = 'Node 1 blocked! It may affect 57.14% of the plant.';\r\n assert(isequal(propagate_blockage(M,1),y_correct))\r\n %%\r\n M = [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\n y_correct = 'Node 11 blocked! It may affect 45.45% of the plant.';\r\n assert(isequal(propagate_blockage(M,11),y_correct))\r\n %%\r\n M = [ 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 1\r\n 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0];\r\ny_correct = 'Node 6 blocked! It may affect 9.09% of the plant.';\r\nassert(isequal(propagate_blockage(M,6),y_correct))\r\ny_correct = 'Node 1 blocked! It may affect 18.18% of the plant.';\r\nassert(isequal(propagate_blockage(M,1),y_correct))\r\ny_correct = 'Node 2 blocked! It may affect 50.00% of the plant.';\r\nassert(isequal(propagate_blockage(M,2),y_correct))\r\ny_correct = 'Node 3 blocked! It may affect 4.55% of the plant.';\r\nassert(isequal(propagate_blockage(M,3),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1\r\n 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0\r\n 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1\r\n 1 0 0 0 1 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0];\r\ny_correct = 'Node 11 blocked! It may affect 90.91% of the plant.';\r\nassert(isequal(propagate_blockage(M,11),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 0 1 1 0 0 0 1 0 0\r\n 0 0 0 0 0 0 1 1 1 0 0 1 1 0\r\n 0 0 0 1 0 1 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 1 1 0 0 1 0 0 0 0 1 0 0 1 0\r\n 1 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 1 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\ny_correct = 'Node 4 blocked! It may affect 21.43% of the plant.';\r\nassert(isequal(propagate_blockage(M,4),y_correct))\r\ny_correct = 'Node 14 blocked! It may affect 7.14% of the plant.';\r\nassert(isequal(propagate_blockage(M,14),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\ny_correct = 'Node 5 blocked! It may affect 33.33% of the plant.';\r\nassert(isequal(propagate_blockage(M,5),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 1 0 0 0 0 0 1 0 1\r\n 0 1 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 1\r\n 0 0 0 0 1 0 0 0 0 0 0\r\n 1 1 1 0 0 0 1 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0\r\n 0 1 0 0 0 0 1 0 0 0 0];\r\ny_correct = 'Node 7 blocked! It may affect 54.55% of the plant.';\r\nassert(isequal(propagate_blockage(M,7),y_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":18,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-15T15:19:30.000Z","updated_at":"2025-12-04T15:58:54.000Z","published_at":"2020-04-15T18:31:38.000Z","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\u003eFrom the perspective of flow, a chemical plant can be described by a collection of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003enodes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eedges\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNodes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are points where multiple flows meet, such as mixing points, splitting points, or plant equipment that process the flows, whereas\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\u003eedges\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are the pipe connections between the\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003enodes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor a chemical plant with\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e nodes, we can use an\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eadjacency matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of size\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e x\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to represent the topology. For any adjacency matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eM\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[M(i,j) = 1, if a pipe connection exists between Node i and Node j;\\n = 0, otherwise.]]\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\u003eM\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is always a symmetric matrix because if a pipe exists from Node\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to Node\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 the same pipe exists from Node\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 to Node\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Also, elements in the diagonal are always zero since a node cannot connect to itself. Not shown in matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eM\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are the edges that connect the plant to the outside world. Here, we will simply assume that these edges exist to provide continuous flow to all the nodes.\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\u003eHowever, the plant does not need to be fully connected; some nodes may be unreachable from other nodes by piping. Hence, if the flow was suddenly blocked inside the equipment at Node\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then it may affect only the nodes reachable from\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eThe effect of blockage can propagate from one node to another node if and only if there exists a series of piping that connects them (i.e., blockage effects have no regard for the direction of flow in a pipe)\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\u003eGiven an adjacency matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eM\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and the value of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, can you tell how much of the plant may be affected when a blockage occurs at Node\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e? Write a function that accepts variables\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eM\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. You are ensured that 2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 30, and 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Output a string (with no newline characters) with the format:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[Node P blocked! It may affect X% of the plant.]]\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\u003ewhere\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is the given value of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is a floating-point number rounded to 2 decimal places, which is computed as the \\\"number of affected nodes\\\" divided by the \\\"total number of nodes\\\", and given as a percentage. Note that if Node\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e happens to be isolated from all other nodes, then there is exactly 1 affected node.\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\u003eSee sample test cases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e M = [0 0 1 0 0 0 0 0 0 0\\n 0 0 0 0 0 0 1 0 0 0\\n 1 0 0 0 1 0 0 0 0 0\\n 0 0 0 0 1 1 0 0 0 0\\n 0 0 1 1 0 0 0 0 0 0\\n 0 0 0 1 0 0 0 0 0 1\\n 0 1 0 0 0 0 0 1 0 0\\n 0 0 0 0 0 0 1 0 1 0\\n 0 0 0 0 0 0 0 1 0 0\\n 0 0 0 0 0 1 0 0 0 0];\\n\u003e\u003e propagate_blockage(M,2)\\nans = \\n 'Node 2 blocked! It may affect 40.00% of the plant.'\\n\u003e\u003e M = [0 1 0 0 0 0 0 0 0 0\\n 1 0 0 0 0 0 0 0 0 0\\n 0 0 0 0 0 0 0 0 1 0\\n 0 0 0 0 1 0 0 0 0 0\\n 0 0 0 1 0 1 0 0 0 0\\n 0 0 0 0 1 0 0 0 0 0\\n 0 0 0 0 0 0 0 1 0 0\\n 0 0 0 0 0 0 1 0 1 0\\n 0 0 1 0 0 0 0 1 0 1\\n 0 0 0 0 0 0 0 0 1 0];\\n\u003e\u003e propagate_blockage(M,4)\\nans = \\n 'Node 4 blocked! It may affect 30.00% of the plant.']]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor a visualization of the above cases, see the following figure:\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=\\\"338\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"600\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" 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HZ3VY6p4HY7we1d7hrjFVWxZ/kPVvgAADAhRPabFp3G6GVlf6JPKysr0UvMBTXo4MGDuQXbveXjx4/3jFBXF/2u7jHxEBuQuQfSM+ZbaoBAcJRMzjyQAdYYPdKcubMo3mGO12Cld/jw4cGiQrGpFX/AbuBoS889GvIZwOrqai6og4FDTu2ioKKQc4kdHDp0KHNPv4afAUz1QWy/YhctLy9nvrGavWcAVS6VQ15bxmh6mwFTcTq4a4xazwvO9J6bAAAUZSOvTOZgONG5ENxuJ7i9a4A1Cm4PQHB7GgluVzcV0byesSbB7Ykyvc2AqTgd3DXGrv2LCqUmpKoAAMDARPbHI/pyByr/8GWp6NaePn06Fzflol/as/c1zJta+o1inxziV/ZiO3Mp/RhmjVGXcimdra6uZu7+9Vt6w6xrV8ViHCxK2HOPhonT9XwqU0v57Oq5uumNOe7R5DOAqT6IPS8Iw0cSazF7zwB6VtEw3lfWTbIRNQOm4nRw12hAzwvOTO41AMC+lY28MpmDOkR/SnB7l+C24PYegtsV7Z8wheB2RVMRzQs9Y02C2/uK4HYX7hojFXXvUK/X2+/bcf8AAMwSkf0xq/5bnF1Ez3nanwecPXs2d6aDYTql1aPYR48ezXmGEMciF1dBVICcbQinTp3KxXUQNSSz9q966dUbOKjybOPw4cOZux+jewbQsxqP4jzt+Wql2XhY2NgzgGk/iN2vPwsLC5lv3GbvGUD3km8Z+NVc+8EomgGTfzq4azSj5wWn3gYMAADjlY28MpmDWglut4yiV7tLcFtwu53g9jQS3M6svXS//ghuj073km+J2pW5KRhFM2DyTwd3jfFaW1vr+c0Ko9sBAJgNIvsT4dKlS91/aKy66KtMaZQheuO5D2UGi/a2VIlix/I36vtNup5fmA5HjhypcY09O7ED//5vldKL/a1xX3b1DI6EAUIVI3oG0HOxw7zKqLvuPwwdqZlvmjXzDGAGDmKc6TlPB8O8MKxGs/cMoMoT/Ql5w9DEqr0ZMOGng7tGY3pecAa77wMAMJmykVcmczACgttBcHsYgtvV9dwjwe0JJLid+XoR3B4Xwe3hCW7v4a4xUj2rR1heXs7cAAAw5UT2J8v6+vrx48e7d4MrOnDgwMBh37Ho/hRkmADfiGK+XayuruaiO4ijnFlrsrKykovuYODvrDdfeu0OHz6cq+ngyJEjmbWyEe3R0aNHc/4ycVJnvhHo+ZajGYg8NvMMYAYO4sbGxvz8fM7TwegCi9XN3jOA5eXl3PTOpm6nGlZ7M2DCTwd3jcb0vOCMtCUDAEDDspFXJnMwSoLbnQhudye4XZ3g9jQS3BbcnnCC28MT3G7nrjFSVb6RUntTDQAAxkhkf3Ktra1F/7Bn97WnlZWV9fX1XOgE6x7tna5nAKd7/Zxf7R3LEydO5KI7GHiN430G0DPyG/qt3qPYo9iGnLmDOECZdQR67tFI196MBp4BzMxB7Hn9aYl6Pop3U1U0e88Aej6IDVO3Uw0bRTNgYk8Hd40m9bzgDHDfBwBgYmUjr0zmoCmC2+0Et7uLfmguugPB7V2j2CNhilET3K6+dsHtsRDcHp7gdjt3jRGJko+6lPvZQbS9L126lDMAAMBMENmfDtE1PXnyZM9f6uwiOjz9hkobNkvPAC5evJiL7qD2ZwA9I6RT+gwg5Go6O93n+3tGsUcnej2DGekbp3rGklZXVzPr1GrgGcAsHcS4X+RsFSwvLzf/QovZewZQ5Z0ZUY0zN2VG1AyYzNPBXaNJPS84o27JAADQpGzklckcjIPgtuB2d4Lb1QluTyPBbcHtCSe4PTzB7XbuGqPQ/a35LVEHMjcAAMwQkf2pdPr06egMZ2elH9H5yUWMXnRfz549e7zNsWPHooffSfffrp2uZwA91xilkVlrMsPPAHpW9X53bRR71DOgOV5xfuWGTq0GngHM2EG8ePHiAO9IO3jw4IkTJ9bW1nIpI9OztKfuGUDPn8UM/T6wnHaT0wyYwNPBXaNJPUs7MmRWAACmXzbyymQOJoDgdl8Et8PAaxTcrqJnx3m84vzKDZ1agtv9HkTB7YYJbhcJbnfhrtGwuIn0rAORYaTfKwAAgDES2Z9u0TXttxtZb7/u0qVL0UNeWlrKpY+MZwDdzfAzgOXl5VxTB/1uwCj2KE6rnHkizUA0p4FnADN5EM+ePds9rtpdlOrp06dH8euWPe9cU/cMoGcVDU0+hm/MVDQDWibqdHDXaFLPC86oWzIAADQpG3llMgeTRHC7CsHtILi9S3B7GgluD3YQBbcbI7idOzkygttNmoG7xq64mMSxyx3r7NixYzkDAADMIpH9GXHx4sXqv/E6ZNcuetGHDh3KZTVlmM5/81Hsnmv0DKC66JbnmjqYhGcAw/zCcgNmILTRwDOA2T6IcQXIBQ1qfn4+tqGuAOjsPQPoeWEJCwsLmXvKTV0zYI9JOB3cNZrU84Iz6pYMAABNykZemczBRBLc7qL58GzPNQpuVxdd7FxTB/1uwCj2SJhi1AS3hzyIgtuj1vPCEgS3hyG43aQZuGuEOEBVKurBgwfrurIBAMDEEtmfKdV/p+zMmTM5T2WXL1+OblLO3zjPALqb4WcAPYM1q6urmbWaUezRMC9OGKm4IJw6dSq3cpo18AxgnxzEc+fODfl2jdieEydO5OIGNXvPAEKVaOMAN9/JEQdlSpsBnYzxdHDXaFLPC86oWzIAADQpG3llMgcTTHC7VPPh2Z5rFNyuTnB7GDMTphDczq0cmuD26Ahuj5TgdjNm5q6xsrKSu9RZ7Gy0nHMGAACYaSL7M6hKGKKvvnR0+/vtrMY2RO/r+PHjZ8+ePb+tZy+rez/cM4DuekZIp/cZQM9YYb/xl1HsUc+TLlaaWRlIzxo+fHxwHx7E2KNjx44N/LKNI0eO5IL6N5PPAM6cOZNb39kwhTZGcTimuhlQRcOng7tGk3pecEbdkgEAoEnZyCuTOZh4PXtMQXC7Xe2dmp5rFNyurmefVHB7P+hZwwW3BxB7JLhdI8HtdhPVDKii4dPBXWN0el5eWqJm5gwAALAPiOzPoI2NjSp99Yo/WXX06NGcoavoukcPP+cZiGcAw4jCz0V3ML3PAHoGSvp9acQo9qjnl+mHPDvoWcOHjw86iHFqxAV/vtqb0nYNViwz+QwgRD3MHejs5MmTmXtKzEAzYACjPh1ccJrU84Iz6pYMAABNykZemczBxBPc3qP58GzPNQpuVye4TehZwwW3hzfqaF67nrGm2JjMOlUEt3OegQhut5v5C84oRFMni6+r4X+DAgAApo7I/mzqGV4JVbqXVXr+df0mnWcAw4ijmYvuYEqfAaytreVqOus3VjiKPTp27FjO3EFdp8m+1bOGDx8fdBDbra+vV4z8htOnT+dslc3qM4CTJ0/mDnQ1RT8cORvNgCGN4nRwwWlSzwvOSFsyAAA0LBt5ZTIH06BnMz4Ibu+qvVPTc42C2xUJbtMiuN0wwe3BCG4PQ3C7nbtGXyoObR9piwUAACaZyP5sqtIXij5t5u7g7NmzmbWDxcXFim/KqcIzgGHM6jOAnjV5gJ9EHMUeXbx4MWfuYEp/unFyNPAMwEEsdebMmZ7v+YgM/d4LZvUZQFhaWsp96Kzeu+fozEwzoC41ng4uOE3qecEZaUsGAICGZSOvTOZgGghutxPcDoLbuwS3p5Hg9rgIbvdLcHtggtvt3DUqOn36dBZZV8vLyzkDAADsSyL7sym6Otnp6aBKXzr6n5m7gwsXLmTWOngGMIyZfAawvr7eM9oywGsARrRHPX9tdm1tLbPSvwaeAQQHsZOe95R+33PT8xnApUuXMuu02djYWFxczN3oLC5uFyf+VTcz0wyoV12ngwtOY3pecEbXkgEAoHnZyCuTOZgGgtvtBLeD4PYuwe1pJLg9XoLb1QluD0xwew93je4qDm2PajwV3ycBAICREtmfQT2/OR2qRDkXFhYyd5lIzXw18QxgGGN8BhCWlpZG0cHuGWdZXFzMrP0YUX3oGYw4ePBgZqV/zTwDcBA7uXTpUhZBB/1eYSJ/ztnBAI/3Jsfa2lrP55ct/T47adjMNAPqVdfp4ILTmJ4PHWtvBwIAMEbZyCuTOZh4gtt7CG4Hwe1dgtvTSHB7vAS3+yK4PRjB7T3cNTo5d+5clVPs0KFDPX+tCAAA9gmR/VkTvZ2eX6+PfnuViG3m7qzGr1/HZkf3PpdbxjOA7sb7DKBldXU156lDHJRcbmeDvSJidPWhewArLPsVuUE18wwgOIil4mqf+99Bv7HsntHP2i+SDbtw4ULuSS9xR27ybTdxKHcfry4tLeXUDlrZupiWZkC9ajwdXHCa0bNFUXs7EACAMcpGXpnMwWQT3C4S3A6C27sEt6eR4PZ4CW73S3C7X4Lbpdw19qg4tP3gwYNRo3IeAAAg+nf5f0YjeiDZHdkW/e16f/Jsj4pdo8iWM3TV8/fFTpw4kVmHEEXUc0XBM4DuJuEZQMuxY8dyzkFtbGxE7z0X19nA1W+k9aHnE7jIIDAxgMaeAQQHsShOt9z5DvqNYsdtKOfsoOKz6kkW2989qN0u9nekzYNLly6V/iRrXA8zR5mZaQbUq97TwQWnAT1HFdTeDgQAYIyykVcmc9CP6I9k8W0T3C5qoFcruB0Et3cJbk8jwe3xEtwegOB2RQ00A+oluD0WUapVmrhRT7rXagAA2J9E9ker0/f4oxtz9OjRGnspsaIqXaNw9uzZnKeXnr3cMEz/f21trUq3v8UzgO4m5xlASxzZwV5+ENuZi+hqmBfqjLQ+xF5XOROjfEYX09nY2IgLQpTkSEOKDWvyGcD0HsQzZ860ti22/9ixY3VtXiyqtdhOVlZWMms/Frr+QmiYjdd79Cy9PRYXF+v6BduoAFGFupdznFmZu8xUNwOm5XRw12hA3NazHDuovR0IAMAYZSOvTOagH4LbXYy0V9tOcDsMvEbB7b4IU4yI4HYVgtsTSHC7i5E2AwS3q5vwu8alS5d6Xi5C5On3mzYAALB/iOyPVqdnAHtEn//o0aMDvCQgupq5iAqik9nvU4focufMnR08eLCvLY+u5urqas5cmWcA3U3aM4Bdhw8f7h5jarlw4ULPH7PbdfLkyZxtIA3Uh+r7Eqdwv2dlUSwhyqT0zUAzExBp8hlAyzQexNJtjpKJJQ/2TG43itpF3Fniqp4z9CPuermIruI2mjN0EHUjrm9VrjPjUjGCWSqO6alTp6pUsKgnkTMuX1Vu3Lti23L+Dqa3GTBdp4O7xkjFeZG710Ht7UAAAMYoG3llMgf9ENwuEtwOgtt7CG4PI5Yw82EKwe0qSrd5YqN5gttVxDEV3G7p9xyfrtPBXaOTiheK2J24CDSj51kDAAATSGR/tKKfkL2TcRssBBxd2dIuYqmFhYVjx46dPn06Oki7X8WOJcSf586du/baa6NvnFn712/nv130dXMpHXgG0EXPfek3tnXo0KHDhw9Xf7HBHsN/Bb+Z+nD27NlcXD+WlpbiJIqDVRrOOHPmTCQdOXKk+lkZc+UGTbnYkdylDoa5RHQydQexShgxTtjl5eUTJ060tqcV74tbVfy7tW1Hjx5d7PWzkrviRB4s4tlSvRBC3EFiB0OnzRsssNuYuPJUiac3KSpqblxn09sMmLrTwV2jp74GvoxaFGxuFgAAEyZbbGUyB/0Q3B5Xr7ad4HYYeI2C24MRpqhX7EjuUgeC22HqonnVCyEIbtcuKmpuXGfT2wyYutPBXaMo6lJu1uSJAs+tBACAaSCyP3KDdepqNHxAc4Avo/cres7r6+tdOnueAXQXnfZcdAcDr7Fi6cWxGya4U0WsorVJQ2qyPpw8eTIXOiaXZuW7+D1r+CieAbRM0UGM0zznacTwp+TGxkb1AGtPExW77CR2+ciRI7nF4xNXub6i1dPYDJi606HFXaOTsTeni3LLAACYMNlcK5M56JPgdhWC20MS3K5OcHsaCW5XIbidy51ggtudCG63uGu0i4qamzV5RnfTAQCAURDZb8iFCxeif5v9hkYsLS3V2JHb2NgY0fa3RyJq7Py38wwgjPoZQMvFixdrjOi1zM/Pn6z1q+TN14colqjAufQGnT17Nrdg+o3xGUDLtBzEBmK1cUrWFe5sqWubd9+qMhXW1tYaOFjt4sDFjaCv0H+7aWwGTOPp0OKuUdSlbozLdF1zAAD2j2yulckcDERwuxPB7VoIblcnuD2NBLcrEtyeFoLbuwS3i9w1Wo4dO5ZbNnlGfdMBAIB6ieyPwblz51ZWVrIPUavokJw6dWqkcZDY+OGDvAsLC6VR3TNnzmSOgmH6Wj1jvqurq5m1Js0/A7hw4UIuuoNmngHsGr6eRCUZRWAlNF8fdsW5GQcidi3XVLco89j4mXmxTbueNbyxcMxUHMS1tbVjx47V+0AudjnuL7mCEThx4sT8EC/KqvdJYcPigjmiN98cPnw4LqQDx/1LTV0zYBpPh13uGruiKIa5RNQuztncMgAAJky22MpkDoYmuN1krzYIbgfB7V2C29NIcLsvgtvTRXB7l+D2Hvv8rhHHbqIC2u1qb8gBAMBIiexPhPPnz0df4siRI9W7edFtW15ePnHiRMxbb/e+uug0xgbEZvTsWkfXPXrgVTqZ0d87efLk0aNHD2+LMomSOXfuXCYPKoro7NmzsajYjNaSr7322vgz+vAj6vp2WePly5czU61GtI+DPQNoF1U08vTsxh86dCgO/YgKZ4/m60MnrXM/NiBLoZqDBw+urKy0Tv9c0D4QRy32N/Y6SiyOVxRaXChaR+3ixYuZaRwm/yBG0cVVNGr70tJSrr6XyLm6uhplG9fkXEpTYo2nT5+OQxw3jtyaMpEad5/IOdLH3uMSF6K4HsYd8HOXpwpVK/JEiUV1unDhQi6iEbGd09IM2DVdp0PRPr9rxNU+dmHsmmmrAAAwmGwEl8kcjEC0k6OrIrgdBLcHNqJ9FNweqda5HxuQpVCN4HYcryg0we2KougEt6dLXIgEt1v7Lri9xz68a7Qu/hMlNik3DgAApoTIPtDN8M8AAAAAAKABGa4qkzmA/URwGwAAAACml8g+0I1nAAAAAABMhQxXlckcwH4iuA0AAAAA00tkH+jGMwAAAAAApkKGq8pkDmA/EdwGAAAAgOklsg904xkAAAAAAFMhw1VlMgewnwhuAwAAAMD0EtkHuvEMAAAAAICpkOGqMpkD2E8EtwEAAABgeonsA914BgAAAADAVMhwVZnMAewngtsAAAAAML1E9oFuPAMAAAAAYCpkuKpM5gD2E8FtAAAAAJheIvtAN54BAAAAADAVMlxVJnMA+4ngNgAAAABML5F9oBvPAAAAAACYChmuKpM5gP1EcBsAAAAAppfIPtCNZwAAAAAATIUMV5XJHMB+IrgNAAAAANNLZB/oYXFxMeP9ZU6fPp35AAAAAGB8MlxVJnMA+4zgNgAAAABMKZF9AAAAAACmXg5ZLZM5AAAAAACAaSCyDwAAAADA1MvB7GUyBwAAAAAAMA1E9gEAAAAAmHo5mL1M5gAAAAAAAKaByD4AAAAAAFMvB7OXyRwAAAAAAMA0ENkHAAAAAGDq5WD2MpkDAAAAAACYBiL7AAAAAABMvRzMXiZzAAAAAAAA00BkHwAAAACAqZeD2ctkDgAAAAAAYBqI7AMAAAAAMPVyMHuZzAEAAAAAAEwDkX0AAAAAAKZeDmYvkzkAAAAAAIBpILIPAAAAAMDUy8HsZTIHAAAAAAAwDUT2AQAAAACYejmYvUzmAAAAAAAApoHIPgAAAAAAUy8Hs5fJHAAAAAAAwDQQ2QcAAAAAYOrlYPYymQMAAAAAAJgGIvsAAAAAAEy9HMxeJnMAAAAAAADTQGQfAAAAAICpl4PZy2QOAAAAAABgGojsAwAAAAAw9XIwe5nMAQAAAAAATAORfQAAAAAApl4OZi+TOQAAAAAAgGkgsg8AAAAAwNTLwexlMgd0tb6+fu211x7eceTIkfPnz2fayIxlpZNJUQAz5vTp0ysrK61r2urqqmsa46VCAgAAU0dkHwAAAACAqZeD2ctkDujq9OnTWWN2HD58ONNGZiwrnUyKApglly9fzmvZjgMHDmRa3dbW1s6fP3/ixIkzZ85cvHgxp0KbJiskAABAXUT2KXHhwoXFxcXs3c7NLSwsnD17NtNGZiwrnUyKApgla2try8vLcSlrXdOWlpZOnz6dadA4FRIAAGZYq51fKnMwYS5evDg/P58Hqc24hjUb4D5eigKYJY2NJ15aWsoVtLlw4UImT7+NjY2VlZXcsTaHDh0a5h3ksdj2p7FhYWFhbW0tk2eOAe6XLl3ac8R3xfQZPvQAADDVRPYpcfz48ezP7bj22mszbWTGstLJpCiAWdLks8lY1+rqaix/eXn55MmTGxsbmQA79vPD8kuXLnmBEwAAsy1b+WUyB5Mkuu27Xz8uig5+5mvQWPqMRnXvUhTALGlsPHHpV8XiiprJ0y+aBLlXZQ4ePDjYg4DiAQrDjJifcPt8gHuxjbHHDB96AACYaiL7E6E4oLlleXk5czTLAPfxUhTALGnm2eTGxkYu/bYuXbqUOabf+fPnc69ua35+fpjHFRcvXswFtcm0WbQfHpafPXs2dip3r5fFxUXfBgEAYGZkM7dM5mCSLC8v5+HpoPmftRxLn3E/dFQrUhTALGlsPPHRo0dzBTsWFxdnKdx37bXX5o51MD8/P8Drtw1w3z8D3IvnSJEB7gAAMJlE9sev03i1luPHj2e+BhngPl6KApglzTybLA1Gh1kKSnYfsjzwQ4vSdkimzaJZfVi+vr5e+kO91c3Pz587dy4XBwAA0ylbt2UyBxPj1KlTeWx2FIevRT8lOjs5QyMMcB8vRQHMkn3+wuwa9RzgHgYY426A+z6pkEeOHMkd3rawsHDhwoX8o40B7gAAMJlE9sdso+vPsLZELytzN8UA9/FSFMAsaezZ5MxfPKPccsc6GOxFNQa4z8bD8k7tyagVsYNxLsQJEuIfS0tLmVbmwIED3uYOAMD0ynZtmczBZCgOsVpdXY3pxS/uNtxlM8B9vBQFMEsMcK/LtYUB7jGl9J3cFy9ezHkqMMB95ivkxsbG4uJi7u22Q4cOxcT9dugBAGCqieyP2Z4vDYdJ+CG5sYwRHMtKJ5OiAGaJZ5N1iXLLEtyxJzjb0lcQPxjgPhsVcn5+vrU78Y9oSFR5x+G5c+dKh8V70gYAwPTKRm2ZzMFkiH5HHpht0b1tTS99HcyJEydaqQ0wwH28FAUwSwxwr0vpAPeYXjrGvfpr4wxwn+0KGfu7GzNvWV5e3k3KSW0McAcAgMkksj9OxZ9hPX36dEwvjmBbWVlpzdIMA9zHS1EAs8SzyboUmwdRtsO/qMYA99mokGtra5cvX84/+lGsV6HVIgUAgKmTLdoymYMJsLq6mkdlR/tYtNJear/f5R5YlT5jbEx0xku/c37w4MFTp071++tqNXZUY9uOHz8em5ELKlhYWFhZWRlgI7uI3ujJkyeLr/JpOXDgQBRXxUFjAxfF+vr6iRMnIvOu5eXlS5cuZXJnUWKx8ZG5yw/tLi0txS4M1ulut7GxESXfZV256Z1V761HgZw5cyaOdad1xXGJM3ESBvNNe6UtVePyY1Gx+1kDtiv2ANfDKOGcf1vPihT159prr83chw/H1ra/hCv+HUuIvcj92RFTzp49m5na1Lu0oiZre2xtrCuOQi76tuKIx760710cvkzbERuTabXaU8ixJT33t/txaYmFRJ49Q4RbohD27OxIxWbkinfElFZSbHlOalOx8hQPUBi4qjR/NRtXhWzypBvYuXPncmt2HDt2LNPqPvQAAMBIieyPzaVLl7LDtCO6oK2k6BkW4wXRC22lNmAsA6zHstLJpCiAWRL3r7yW7ThsgPtAotyyBHfE/SKmDxPED+cNcN/fFbI0mr+6uprJAAAwVbJFWyZzMG7RXc1DsqN9vFFLTMm0HbuveB+1Ln3GkydPdhrIVerIkSPrFX5cKwzZUY21rKys5Jx9ij06d+5cLqhPZ86cKR312F1sapcBkQMURSytdBjxwYMHO60odrn0+wlVRIn1OwBubW1taWkp5x9a98HN0cc/dOhQZu1Hw3GAWaq07Uax/OGfFg0wpLV4JsZCYnpU5u4VLHa/tYR29S5tV5O1PQ5QFHvOX03rt0cGKPzBDHDx7HRcQmx89ZocOQc+Jasrln/7iVA8TULsYCZ3VjxAoa+L/FiuZuOqkE2edEOKNluue8eexyXDH3oAAKAxIvtjE53G7DBtm5+fb49hnTlzJhPa7AYXRq1nyGxtbS26o52iwLEvkb/ffmBdo7ovbr9Bp8tX5Fvq/fp4HLtTp051j1NHtz/2scpTjYGLInZnz0GJ3exZbSLDsWPHqgTZDx8+HDUzZxvU2bNnO71OoKLqv0p87ty5KLruT55ix0+ePFnxadOIzEClLap3+XuCrXFMq//KZEvU8z01IVadaR3EKtrDuHsiwnHUSmtyzBI1KjO1qXdpRU3W9rgOrKystO9Ou7gKxSWl/R0kA4TXBxOF3H4NjNLoecnqflxC1Jw4PTvd7+KsjJ1t7AISm5cr3rFbjYcZ4x5XlZyhTab1aSxXs3FVyGm5xVQRRyS3eEfPKyQAAEymbNGWyRyMVfSP9nTfoguZabdV7FoOFivuV2mfMVadfxR0j32F3ZfadDFwR/Xy5cvFDl272LxYVEtO6qCvqG90dXO2MocOHYrVdYqltHQKWfdbFKuFXwMIUSadlh+6lFgkxericIf4R5ecUT/bn+Z0Ef3rnKdNFE4sP5Ki2OO/sbqKQwYjWy634Pz5851iI1EJYy0tKysrXSrt0aNHc3EjM3uVtmV0y4+jljl2RIXJtGpiyTnnjjgEmdZB8UyMhZSGH/eISpiLaFPv0kLDtb30OrMrtqRLLLR4avcs/MEMcB8pPS5Ru/KPPkX1rnhVHExxw/acCKXnYEzM5A6KZ0eoGLWOecdyNRtLhZyWW0xLsbZcLHw3bJhDDwAANExkfzyK/c/it7SLHbBO4f7aRS80V7mjFSlYX1/v0jUtFdscvcTWYrvrtNKKTp8+3al3XcWpU6dyQf2IAil9PUxPUYxdhrsNUBR7xmju6hQvWFtbG2zLW2JdUeC5rGqihIc5QHvkQjuIdWW+PkWZjDQGt8csVdpdI1p+8XrYbw0shmsP94rwFs/E1vQzvd7EU7rkepe2q8nafvHixe5jeYviwMVaBij8wQxw8ex0XOLO1e/9rt86OYBiKDy2P9M6jHHvGcQP54ce4D6Wq9m4KuS03GKqiyZBbmKbvh6rAADA5MgWbZnMwVgVO7aXLl3KtNsq/vxpaKCrUuwz7rG6utophNVprFuXQcktg3VUS+MABw8evNDrrRCRoXT0W0zs2W+NDKX7eOzYsS7zRtLJkyfbR/d2GkNWvShKu+exbT0fRuzu+8LCQmxVlYBn8WcHQnTzM7mzYjl3H94XBVWcpcr7fYux09AzKBRHoTjkOsqwZzUY2ExW2lEvf4CA5x7FcZyxwZnWQc8rYdT/9tdJtFy8eLH0BKx3aQ3X9uKA4BAVr8uNoHina9ez8AczwH2k53GJE7Z0N6PQ4pBlpjZxUe1ZngMrHvfiiRCNhExr0/2qWzw7QqeTsd1YrmZhLBVyWm4xLXuKKLaheHkJAx96AACgeSL7Y1CMh3YKSBX7ft274nUphsyWlpaKGxOiY3zkyJHYqvhH9EtzakGVF9UMHKcrzrhrYWEhNi8ytBw7dqx7Tz7y5EJ7iR54l7GPsZZYVyxtZWWlyxo7deNjxsyxo0tRRCe8tOS7l15muq04xK0tP3HiRHTjQ9TV+LM02hIif5VIROQpXUIUTmtFa2tr8d9Tp06trq5WGSLZ5Q3usbWZ6bZiv2L5rXVdvHjxzParcTodwYoVbxjFQ7xrSittGOny46Bkjh2nxzHAPepPlwvdrtIl17u00GRtj0V1Gkkc52ysMQ5rnL/xj9JsxfO6004NqVjIPXewOEunYdOHDh2KpcXp2akoQsWr4sCi3HJNO2L7M21bXB4zoU2VWHNmbZNpvRQLcNformbjqpBNnnRNihqSG7cjimikNRkAAEYnG7VlMgfjE32lPBg7uv9OY7GTG72V6Hll8mh0GvAXq64yzjhEtpynTffw+ABhq1hgZt3Rb+FcunSp2EHuORa/OLSu5yx7nD17tssXFaoURZRwccsPVBjaPoxYeHGl3QcyFl9ydKraN/xXVlZyhh3dj2wxf5XHMbuKdelIhbH7A5jVSjvq5RevnP0Gl4rjOON8ybQOOl0JQ1+1q6XGpTVc2+P6k/l2LCwsXCy8CrpU8cC19Cz8wQxwH+l0XOIsq3K/i3LIGdqM7hF2VPtcx47SE6H4/D102arBRjmP62o2lgo5LbeYsL6+vmckQ5ciHezQAwAAYyGy37ToX+3ptUZ3K9MKLly4kJnaVIykD6NTR7clNrhL6DZ2MHqnmbVNz575AHG6jc7vxsgcna2trRVjAaFK8LE0cLOwsNDphUO7om/cPtS7U8y9YlHE7pfuQpX45u6Yv6NHj1YMu5TWxp6BjNK5uof+Y7/iKGTWHWfPns3kDqLiFSvD0tJSz72Lo1Bc3ehGqc5qpR318ovhy9PjGODeLvaur6txjUtruLaXHtzQ5SF0LLD4DK9dz8IfzAD3ke7HJSpnlzoc18/M1yZmyeQRKF4BYvszbUdxsHLo/mghTsPM1ybTOpuoq1kYaYWcllvMAKKG52a16fJUFQAAJlw2astkDsakGCSMXlWmdVbsPFaZaxilA/4qjkveVdo37xLe7DdsVfoF7E5RtS6iV5sztymGGnYVO9e1h0G6F0XsY/SpM2FHdNgH2PcBFEfpdf+Gxp5IwsLCQib0Uhyg2eXlBcXKFocp0yornmi1P4Sa1UrbwEkxQMBzjyjnnHNHVM5M66D0Sjg/P3+x2lDaPepaWsO1Pa78maNNv9tcfK7Rs/AH0+99JJQel5iYyRUUlzCivQvFkux0IpRGjzs9yiyeHaH7KOdxXc3GUiGn5RYTisd9ZWUl08oMcOgBAIBxEdlvWrEj132wb7GrPD/612oWQ2YtS0tLFVddOqy5e7+33zhdbEkxnF1lbFy70nFd3QdtlwYd+n0tQax3vfOPn1YpimIYInQvseGV7ntMzOQyxYF9PUc8t0Rlyxl2dKl7pZWh55j4ds28RWBWK20DJ0WxwvcVaQ0DRHg7XQnjIjxAAK6upTVc2+OgxBZmvh3Vz47iA7mWnoU/mH7vI6HTcYl97HLN2VU6NLzLQ8chFZsQsf2Z1qa02LsUxQAD3Md1NRtLhZyWW8wA4hAUy3N0FRgAABqQ7doymYNxKO1YdQ8qtkSeYreltC9clwEiSKWKQdEuXwjva6VRmMUyGXisWPE1+Z3GYUeXPHO0qX0oWKeiiLUXi/RAU0PbW4pBpO5V8eBtf9Q0ToFM6OXMmTM5z44uI+mjEDLTjujsZ1plxV2r90HDrFbaZk6K4Y9OLQPchxm4X9fSGq7txWvOAEGzAQp/MAPcvAaYZY/SUyDT6haHKVewo8uJUH2Me7+jnMd1NQtjqZBTcYsJxbB/92+ghX4PPQAAMEYi+40qdla7xLV3FXutg0XVqyv2NqNTHZ29TK6muJDQpevbbxf3SOE98dVjxO1Kh7ud7jx2tng4ah+m1r0oSr+mX3s4oJPiuPMusZuNjY3MtKP6O5aKJ0uXF8oWxw72NfSwpXhku3/5ZACzWmkbOCmihueid3TZ31IDhGtLL2Kxs1GxM0c/6lpaw7W9uLqotP1uc/FN5yO6i/V7HwnFWQ70+XC0+D20KN5Mq1uUW65jR2x/pt1WXJkzR5vSIH443/8A93FdzcZSIaflFtOv4vPy4N3tAABMu2zalskcjMPKykoehh3V34leDOmE0XWpBogglSoGHLosp6+VlhbIYNGqUPqemtI3whbXO4phmqVFUeyY9xu9Gdj5NsX4ZKewTEsxZBQLybSuijGETu/ojQVmjh2Li4uxVf0q7tpg1b6TWa20zZwUcYBy6Tv6fRjU75DWUHomZlr/allaw7W9dPDrAEN7Byj8wQxQyLUcl5yzTSbUrXjgup8IpV+QK8btSw90l2t1sdBCA1ezsVTIabnFFO+2VaL3/R56AABgjET2m1P8ynjFtxSU9rJ6fvl4GNHhzNXs6Ddk1rLnJSUhOv+ZVtDXSouFGaq89adUcaxbp+GJxf58WO/82unBdCqKc+fOFSMygx2agRUjEV2OadizwdUHuBcPSqeQRPEEqf57r+2KPyda5fsn1c1qpW3mpOi34hUNEK4tnondf9Owu1qW1nBtL30FywCPkAco/MEMcPMaYJY9iqfAiJ5ShCi3XMeO2P5MKyi95pRehEvP4kwrM66r2Vgq5LTcYvpVrEuxXwMfRAAAmBzZwC2TOWhcsRfW75sRiuPjowsz8Hiy7uoKYhSXMz8/n2kFfa20GMro1I+uKJfSpjQMW1zvYCXTXbEolrblH21qiYqfP39+eXm5GHKvqEtYJkQVPVB49233xzrRMS8+Uumyp8Xiqku9B3dWK20zJ0VxLf1W/mJ0axoHuDdc24vx0i7X8C4GKPzBDFDItRyXnLNNJtQtqn2uYEfPEyGuqMXLe5R/e/uheIBCHP1MLhjX1WwsFbLhk24we74CF8VScdx/v4ceAAAYI5H95iwWfoY1uk+Z1kvpS7svdnhvx/CGD5m1FCMOq6urmVbQ10qLX8iu9xcSQ6bdVnEjRxGNKq4levvF+jPMWNvuov8f3fhw5syZ2Jh2hwrvj4nSy9nKFJ8/Vam3xcBT/NnpqdXJkycz044oqyixfvX18GAAs1ppR738luLFpHvFKyqWWBz0TOuguGvDVIlaltZwba9ezboboPAHM0AhD39cGntKEaLcch07YvszrUxpEL8Yc4+rfaa1ybQy47qajaVCTsstprrSYuzSPAMAgOmSbdwymYNmRc80D0DdRhQarSuIUfrTaplW0NdKozuZmXYMtoW7iqGD0l/srH29pToVxdmyn4CrPo5tj1jawsJCLmUI3cMyLcUfwQuLi4vLy8sx+5kzZ06cOBFlWzqIP5zvOtiuGNcaXmzb6upqnLm5jjrMaqVt5qQYS/SyrithSy1La7i2F3/5MGpdpvWjsdDxAIVcy3HJOdtkQt2Kp1uVE2FjYyOOcs6wI6bsPm3sd5Rz7Wd9xavZWCrk5N9iovBzudvaj2xP/R56AABgjET2G1Ls9Pb7CvZiJDS6aplWt+FDZi3F5XT5LntfKy0Omx5mbNalS5dyKW2ic5vJbYrHcRSPUkqLYk9HvWWw49IudrO4U3053XWccWn86OjRo5lcJk6NzNem9KUFLcW3/9al3gF/s1ppmzkpimvpXvGKBgjX1nUlbKllaQ3X9r6u4V3UEiuvYoBCHv649BUUHlLxRhDbn2kdVBnj3u8A93FdzcZSIaflFlPFxYsXi8/vo7rW/psbAAAwRtnSLZM5aFbx6741OnXqVK6mPnUFMYp92C7hgr5WWlzyYKPcWkp/pa101HhxvSHT6tO9KIqBkbC8vJzJFaytrRWD1WFlZaV0TGG7YgnElEzrYM+bZfuyurrac6BesbgG+925UZvVStvMSVFcSwPRy7quhC21LK3h2l4stFAaseyusdDxAIVcy3HJOdtkQt2i2ucKdlQ8EeJCGmWe8+zYHQld+pOhXUY5j+tqNpYK2fBJ16/SMqldvz86BAAAjILIfhOKX62uS7+RrIqGD5m1FEcqd4mP9LXS4nD/YYqi+ui62P5M3jGKQ9CpKErHIM7Pz1+4cKE1Y3Xr6+vFfRnM6QrjjIvxo12xGS35d0HsYPeXvq+urmbWHYsDvV63XRT4AKXa3axW2lEvvyWWmUvfUaXitRsgXFvXlbCllqU1XNuL2zxY/L2WWHkVAxTy8Melr6DwkKLcch07YvszrbPSLxrFRu4+Je13gPu4rmZjqZDTcovpLsqzeCMerP0AAAATLtu7ZTIHDSp+Z3iYLlWxXxNK+4/DqCuIURzZ3OV7zn2ttPTd8KXj4aoo/nBZpy+Tl75DvfZ+Zc+iGCZCXhoh6f4qlnbFuESXsEysa8+XzKOoY3ps57XXXltamWNiJPUcZ9+u+uDI8ZrVStvMSVHc334vSgNEL+sN59aytOZre/Fy0eU1TJ00FjoeoJBrOS45Z5tMqFtcHnMFO/qKSMdVImfbEce3FR7Pv9t0GeA+rqtZaL5CTvgtprgvo7C0tJTrAwAAxkdkf+RKX55ao9N9jvKsYvgBfy3FOH6X5fS10uKAs8Fe49pSjOOETLutYgylrzfEVNS9KErf+9LXZpw6dSpna3PgwIEoh93xjp0US6B7DYz6X3xfbEVHjhypEispfo/i4MGDmTZJZrXSNnNSFNfS749gFEusZ7i2rithSy1La7i2l4ZrM60fAxT+YAYo5OGPS2NPKUKUW65jR2x/pnUV1/biO/N2g/hxpc1JbVozlhrX1WwsFXJabjGdxF04KmRuepsohMwBAACzJZu8ZTIHTSntxEUnJZMHUhzdVXsfrdhnjFX0DJnuURp97TLstd/ISbGPP1gsonTsWpcOY7GDWfsPOVYsitIIec9wU/E9RFGjMq2CYhCpS1hmT+ae2zaw4msIqg/Zb9KsVtoGTopive33JcrFgfg9C7/fi1J3dS2t4dpevM4M8Prq4u1gsJrf0wCFXMtxyTnbZELdik+I+g3jF+tPKzyef7TpMsA9jOtqNpYKOeG3mPX19ThYgyl9NeHJkyczeUe/LUAAAGAURPZHbmlpKTtGO6JDeHxQxW+ZhyEfDBTFinLROwYYiBm9vuLI5ugxZnJBXyst7XlGVzaT+1Qcq9fphTqlDydq79/2LIoLFy6UfmsiOtuZo7OYN3O3udj1FentilGkLgGXPeuKbb6881KlmCsK+fDhw+3PpQ4ePBgT4+D2VaSlezRwZRidWa20zZwUxf09duxYplUzQLi2livhrlqW1nBtjyXnOtpUuc7sUUusvIoBCnn44zIVA9xbik2IVhC/9GUnOU+ZcV3NxlIhp+UWUxQbWdpo7KvOAADA1MmGb5nMQSOis1mMXnaJIlZU2kerd6xVsc/YUj1cUDpkrftG9hs5KS2HfofVlr6Xp1OXvKX0fdX9lv/ly5dPnDjRKXhYvSiiEPqNkBfflXuw8hckYoP7CstEhclMO4av/6VKozoTNQCxZVYrbQMnRUzP5bbpvte74nJU+vqhKR3g3nBtL30nSPV7QadrlAHugyleVPsN44fiGPHiF+dC94DzuK5mY6mQ03KLGUDprg3wrAEAAGiAyP5oFUfODRm8WF9fL3ZBh3lzaqnSze53GH3053PmHbHlmVamuNLuPfNiYG6wcijGtUP0bDP5tjbKns1UDCZWV7EoSl9Us7S01CkS2nK08NPAfUVeilGkLqH5PV/uH13Uo/g1ki5PF8ZoJittMydF8SXK/RZd8XzpGa7t96LUXV1La7i2D/8+kqghxW0e5olIFwMU8vDHpRgJHdFTihDlluvY0e/RLw3i9/sG9zCWq1kYS4WcllvMrk5D2/v9XhAAAEyjbP6WyRw0ovjKz5iSacOJrk0usc25c+cyeWjFAX/toofYPUhejJ2GnmGQWgYmhvn5+bNnz2aOrkq3s0pIpLT8FxYWer4/JTr77bWiU0i536IoPoMIcZhKI+SlAZCeneXoZRcDMi1d4gPFeFEnBw8ejOXvimWeOnXq/Pnz1b9dX/prCQcOHOgSYOkk6k9sQPVV92VWK+2olx/ioGSmNlFbuhypKNVi0H5Xz3hav2didzUureHaXhq6jILtPgq29JVAu0YUOh6gkGs5Ljlnm0yoW/EKUOX0Lyo+IS3qOcq5WHShgavZWCrktNxi+hXbnzvTpq8B7sUIfByLfodSAAAAVYjsj1Dp17gvXbqUyYOKHmAuq03POGxfSuNl4fDhw6Wh4aLSbnb3Jw3FlXbvz0c/M/O16fdb8qWF2T0GURq56GvodpRhlE+XTa1eFBcvXiwNU3Z5U34xdFL98VIcweLqokAyuaA4KDAqasUq1JfSSEQUciZPjFmttA2cFGtra7ncNhVX0eWCljk66Pei1F1dS2u4tpdW2upb3ilePPAzjO4GKOThj0vxiIzoKUWIcst17Ijtz7TKimPcS+8jmbuDcV3NxlIhp+UWE+Ja2v5kdNdgV5uKonziuLRMyPMJAAD2s2wEl8kcjF7xPQXR8ayxv1A6oqiukGMxzBVdqvxXm8XFxegFR6+8Jf6dCQVV4lfFlVaJnKytrRW/f74ruoexYbHkVn8t/h1bcuDAgUy+rSjACxcu5HJ7KR3r1hLLaS+W5eXlTmvsFL4eoCguXbpUGtkojTCUhjFDbGqU0m4tiuoaW1iMw+wR+9jK38nJkydLt60vUYZdov0tseXFlwK0xOyr2z+aGjvYejh18eLF7UrxuVoRx6v4AuMopdZiazeTlTaMevmh9ELU0r780kobBRt58o9tsQ253A4GOBO7qHdpDdf2LoODYy9isbGEEP8oBl1D3LD2BCR7Fv5gYhtyBTt6FvIAsxTlnG0yoW7FU2DggGfpl1LaRYXJrJ2N62o2lgo5LbeYvpTG/GOzM7mXTpf9yXxqAAAA005kf1Siv1fs3EZ3LpOHUxrMqt7v6im2MxdaJvqrXTrb0Xct7aX37NQVV9ozPBHd4Mx6WydOnMgcnUXnszT6UKUY9/T/W+Z7fTs/qkQUQvtKO62r36IorQ8HDx4sfW5U2uvu+b7tKOrYwcx9W12CEWtlv7JXReu9NVEOp06dioXk4rqKwsyZb6vfky7qdpTG8vJyHK+cVKtZrbSjXn4ovS4dOnTococXRUT9Lx3ouatnuHaAi1IXNS6t4doexyhXcFtdDm4UfhRv5iszQKy8igEKefjjMnUD3EPpCbtHZu1sXFezsVTIhk+6wZQ+tIjL4IhuZyGafLmaNouLi6NbIwAA9JQN0zKZgxEr7Sl0H7jZr9IxSdH9yeThFHu7renFAEJP1XtkxZVWj5xEgRdHj1UX3fNYQi6rHwMUSEtsbZfu/8BF0SlCXjwEMaXTQL0uWvGiPeGFnmGBYilFgcdCWkpjI53Mz8+f6/VLBesdftKtX4NViepmrNLuGvXyY6/7qjMh6m3rFNhzgvSMXg5zUSqqd2ktTdb2KMPuDxpK7Rb+nooxotDxAIVcy3HJOdtkQt2KF/nWZXkwZ8tevLKr+nDzsVzNxlUhp+UWU9GQA9yjkuQ8txWnVeYAAADqI7I/KnveiBAOHjyYaXUo9pmjJ9zqnQ6v2L/tFJuLlR7e0Sm4Nl/t2+fFVVQJT6ytrXUJH0RSbNjq6mos/NixY/Hv2JdMK4ieefUC7DTWbVerZLr39jsN3R6gKDq9qOZk2fcKinGrlqiiserYtZbIVqzGYc+KenbXz507N0yIpyVWGtuWS+wgDl+XAo9DH8UYC4kyib2Lf4TYwThMpUUXeXK5dZvJShtGvfzQfVRuLLnL8qOiRmr+sS3+zOV2EIcgs+4YJmZa79Iaru1nzpzJrAW7NTaWX/zRhpYTJ07E9uQf23oW/mBiN3MFO3oW8gCz7DGNA9xD8XV6e2S+rsZ1NRtLhZzwW0ysKBddq9iLXEGZTrWo3pErAADQl2yVlskcjFj0I7LEd0SXMNPqUzo0bb2Ol8TvGbG0apjCxAAA//RJREFUsLCQCdtiFUePHu0UBm9ZXl5uvcS0uuIwqX6jE+Hy5cvRD+2+bS3Rd47l97uRpaJA4oh36e+3RIYot+5xv5ZhiiJKoLglXWaPvnmXnn6Igora216v9gQnT506lQkFsfDMtCO2LbYwk3uJsiodv9hlje1ax6X6OP4oh9i15gcdzkal3aOB5a+urpaGm1qiPCPDniXvieHEEc+EDmq5KO2qd2l7NFnbY0eixuaCyrQuGnsKf08ks2fhD2aAQq7luOwp+T03zRoV45DDty7iirrn+hNn1mADlMdyNRtXhZyWW0x3G4XXFMbR7+u4FOtkXHszDQAAqJXI/kiU/kZY9fBlFcXQQ1heXs7k4UTXNJe47cDOWL3o2HcJnJWqHgvYs9JQPZgSZRs95Jytf9HnrD6url3sXS6iT93f3jpwUcSO5AxtFhcX1wtPd2Lt1aMPLbGcqHUx757gbPdDHIemuKLY/djHliNHjhxu0/M4dn8jeIidHeDtBXvEPg5WJaqbsUq7a9TLv3TpUpUo4a6ot7svN4oKllO3xZ+t6Z1E/cysOwaI8O6qd2ktDdf20itMF+2FHzubU7f1LPzBDFDIwx+XOJdzzh27N83a7anDIbY/0/oXRyeXUhD3+sxUwbiuZmOpkBN7i+n3nl5R95LpdMGftMcVAADsK9kqLZM5AEas+AWMo0ePZlo/ir9id2g0Q2MBAAAAYDKJ7I/Enq/tHjhwoPZXdYYzZ87sGW5e1wD3CxcuLLa9k7X4PfjThXcht4vN6D7ouVSsNAoqF7E9EK3nUOai9fX1kydPxgZ0H4gfKzp69GhruHYtYlOvvfbaLuNuY42rq6sVq8EwRXH58uU9h6b77Gtra1EUmbUg9ij2a09BRX3I5O2FdxnHVnx5QL8jR/eMQWyp/mrYqIexDe2VuVTUlii048ePj2VM3mxU2qJRL//UqVOdxtRGSRbrbYhZdgs5/hEX6kzoYJgzsajepRU1VtvjohGzt+9Lu06FH6dte2UYZlh2FwMUci3HZc9Vd7BnllXEtaK9GGPLh29dxP7uGbEdFSluJZncj7FczcZYISfqFhML3/OFsVr03Oa4kO6pk7vfIgAAgLHItmmZzAEwYsWg5WBfdN/znt0QXfVMAwAAAIB9QGQfGIniu3UHG857vPB+5bq+yAEAAADALMngUZnMATBixe/hnzp1KtMqW1tbK36p3rfKAQAAANhXRPaBkcig+44DBw5kQp+KL5gf3duRAQAAAJheGTwqkzkARuz06dN53WmzsLBQ5f0v6+vrx48fb/+1tF0D/GouAAAAAEw1kX1gJObn5zP0vmOAN7ifOHEiZ94Ri11fX89kAAAAANiR8aMymQNg9M6fP18Mjw/syJEjGxsbuWgAAAAA2DdE9oGRKI5Nbzl69OiFCxcyUwdnz549dOhQztBmcXFxbW0tMwEAAABAmwwhlckcAE3p8jr2KlZWVi5dupTLAgAAAID9R2QfGJWLFy8OHL7fY35+/ty5c7lcAAAAACjIQFKZzAEwPuvr6+fPnz9x4sTxNidPnoyJwbtdAAAAAKCdyD4wcmfPnl1aWsrHif04fPjwmTNncikAAAAA0FlGlMpkDgAAAAAAYBqI7ANjc/HixdbLaYKfWwUAAABgGDmYvUzmAAAAAAAApoHIPgAAAAAAUy8Hs5fJHAAAAAAAwDQQ2QcAAAAAYOrlYPYymQMAAAAAAJgGIvsAAAAAAEy9HMxeJnMAAAAAAADTQGQfAAAAAICpl4PZy2QOAAAAAABgGojsAwAAAAAw9XIwe5nMAQAAAAAATAORfQAAAAAApl4OZi+TOQAAAAAAgGkgsg8AAAAAwNTLwexlMgcAAAAAADANRPYBAAAAAJh6OZi9TOYAAAAAAACmgcg+AAAAAABTLwezl8kcAAAAAADANBDZBwAAAABg6uVg9jKZAwAAAAAAmAYi+wAAAAAATL0czF4mczC71tfXr7322sM7jhw5cv78+UyDZu2T2hi7eeLEidi7+fn5vNRuO3jw4NGjRy9cuJD5Oht+CUyd06dPr6ystE6N1dVVF+oJ4bgAdKfRAgAwLiL7AAAAAABMvRxlUCZzMLtOnz6dB3vH4cOHMw2aNfO18dprr80d62p5eTlnKBh+CUyjy5cv56HdceDAgUxjfBwXgC40WgAAxktkf9ZcuHBhcXEx29FzcwsLC2fPns00aNY+qY2xU4cPHz548GDuZ5ulpaVTp05lvs6GXwLTZW1tbXl5Oc6I3aN8+vTpTGN8HBeAnjRaAIAJl02TMpmDUVpfX9/tVo9UND5zlW0McGdyzHBtXFtb2/Pi0i6OHDmSs7UZfglMLwOpJ5PjwmSKmnns2LHSOGTRoUOHPNChdpPWaNnY2IiTItfXJk6WzDG02OUTJ07EXSAX3VnkOXr0aOTPOQEARkZkf9YcP348G5U7rr322kyDZs12bYy+YpXeXVhdXc15bmv4JTClPHCdTI4LQCcaLWFjY+P8+fPx3/wbAJhI2SgpkzkYpWLPenSKwzj065kcM1wbi33DlZWVvjpKwy+B6RWX7jzqO6I+ZBrj47gwUeIeOswXJmPe8+fP57JgOBPSaFlfX19dXc0tKFPsGfUrduro0aO5uP4ZyQAAjJTIfv3Onj2bTbkRKw2JGuDO5Jjh2njy5MncpdtaWFiIE7Nl9yvd0SHM2doMvwSmlweuk8lxYRqVvq6jJW4imQmGM2mNlgsXLpS+uimT6xB3hEOHDuVye4mcHpsBwOTIO3SZzMEobWxsFEeBjMLy8nKuso1+fXfFVvTwQ2GaNF3bP6u18cyZM7k/O+K4ZFo1wy9hlkz7WTkAA6knk+PC5Ig2XtbC24oLZiQdP3783LlzcSuJfxw5cqT9V8T3OHToUC6ROuzDG1YYe6NlbW1tZWUl193VkIejU/x/fn5+dXU1TrezZ8+eP3/+xIkTx44d6xI2jxLLJQIA1Epkv37FQb0jUhpfmOEhxUydWa2Nly5dyv1p01efbfglMNU8cJ1MjgtTJ6poVtYOMh8MYXIaLefOnevy1CpkviFcvHix+yq6W1pa8tJBABi7vDGXyRxMjGKP5vjx45k2EP367orfPZiukUnTtf2zWhuvvfba3J8d/Z62wy9hlkz7WTmA2MHc1R0GUk8Cx4XJsds+XFhYOHnyZJVQ2/nz51uz7HHkyJHMwdD24Q0rjKvREmUbtTdXeVsHDx48depU/tFmmMNROmA9mrKZ3EGcm0tLS5m7jXf2AQCjILJfv7W1tWh0RgesimzrtYmGaab1UjqyZFaHFNclC6VNJkyJ3Og2mTCRZrU2Fn+iq9/e2vBLmCVZBG0yYXZ54DqZHBemyMbGxp5huLvvz26XualJFmubTJhpY2+0xMV5odqvEucMA+kUkQ/Ly8vnzp27dOlSK+fFixfjzy6/CXvixIlWTgBgLPKWXCZzMDGi053HZseQQ0b067ub9pFJ07X9s1obiyO9Yk8zrZrhlzBL9uF4wdjB3NUdBlJPAseFybG+vr4bhauuGC1vuXDhQuZgOPvwhhXG0mgpfZn6ysrK2tpaK0Pxih0GPhzFkfR9/frBmcJL7sN+HvMAAIyIyP6YZUOvzZAtYwPcu8tCaZMJUyI3uk0mTKRZrY3Fx2/nz5/PtGqGX8IsySJokwmza1YfcU07x4Vpsba2tmc4+/LycumLanIGapLF2iYTZtq4Gi0nT54s/dpGTDx27Fjpi2pyzv6VvqX+0KFD6+vrmaODTsPiV1dXMwcA0Li8H5fJHEyMYlPTAPeRmvaRSdO1/bNaG4unbb/Ps4ZfwizZh+MFi8PyDKSeBI4LM+DYsWNZfdvs51tMvfbhDSuMpdGyO7ii9SMGObVN8YodBjscxYEcA1z8S18Esx+qBwDQJJH9MctWXpshW8YGuHeXhdImE6ZEbnSbTJhIs1obi934ixcvZlo1wy9hlmQRtMmE2RXX+dzVHR64TgLHhalQHMh+7Nix0umhNQt1yWJtkwkzbSyNluLbcWIzzp07l8llV+yQaX0qfmMk9PUW9tKNaZ2YAEDz8mZcJnMwMYpDRhoY4B5dp2htln6Xcnl5OZawsbGRWYewvr5+5syZlZWVTj9GFO3b1dXVkX539PLly7FHUQK7inu9tLSUabd15MiRvpr9kTmO3cGDB3O5BVEOURqnTp3affdkTw1sf+Q5efJkrKXLb0bFKo4ePTrAGJ2xRJlq36OoyXHgWqXaUlxyp18kbr00d/gldNfwuRblFiVcfNdpS6wryrbLuho7K5sslrhmxrpiv3LRtxWbvee6GoWQaTtiYzKtVlEIcbXP4jt8OA5N8fLezB0hjOIi2d24jkszdS+2/MSJE3Gy5EJvK1Zd3MFRG+kNpXtljn/HzkbB5mp2xJSzZ89mpq4avpCOTpRMbnGbAQp8GKM+2WN3YvasCocPR5WrfmvYFVuY82+L+pMJbWJFsfDMsW10zcjBjKKo41xoL95QPCmGabTUpXjFDoNdW3LmNoPtSLGg4qqVaQAAdRDZH7Ns5bUp7UhUF635XNAOLch2WShtMmFK5Ea3yYSJNKu1sRgq6rffOPwSZkkWQZtMmF1xnc9d3XHYQOoJ4Lgw+U4Wfp7yzJkzraTzBriPXhZrm0yYaWNptKzuvPflyJEjpasrXrFDpvUpLvU5/47l5eVMq2xlZSVnbrPe6wXwAMAo5J24TOZgYhRbYsdHNsA9OlOlQxhLRc72b1dWF23XQ4cO5VL6EQ3gXER9Stuo1R08eDAX1EFrDFDm7tPCwkLPEh7R9sd6FxcXM1OfYrOrD+9rLMo00j0qfRtuRdGXrGUJpRo+186cOVP9ArIr6vCe8bWjPiubLJbYtWsLX03vrvVN8tjI/HtHlwM9jOI5uBteiC1p4I4w6otkqXEdl2bqXqyl06D2Lk6dOpXz122MN5RWZV5bW+te7FF7W0so1cxRa1KUam7ijp6XzVo0ebIP/9i94sk+6hvWYEZd1CNqtNSueBBD67LQl2J1imtCpvWpeOuJAs80AIA6iOyPWbby2kRPNdMG0rNvEw3c6Hx26nVH+zua77WMxoh+Qqy62J9st7S0dPLkyVpWV2qwyGNLbHn1+MLFixePHj0aHbacuYMo3ij86osd9fZHZYjDXSUkdPjw4d0hdNU1P8B9FHsUNbl7Ne4k5mr1lodfQndNnmsbGxunTp3qXsLRAY5D32ldjZ2VTRZL7NTKykqn/YrrbVTL9pcENPaI68KFC+1bVVxLnDJx7WrgjjCii2R34zouzdS9KKXuZ2JsQBRmA6/KaBn1DaV7ZY7dLH0jUcwS5ZyZumryijGwOKC5KTvaj29UiZzaJtMa1MDJvudUjaPW72tForruOdZx28q0No3dsAYzoqKOc6H7idBJzBXz5lJGr3jFDpnWj7Nnz+bMbQa4ckYDKWduU1qvAIBRyztxmczBxIieXR6bHUO2oEr79dHXyz/6tLi4uGdwahfR5O7UfYjuauxXy8rKSpeOc7Twc3F1KG0zVxdbmwsqiC5VdDQyX5nYxyj5lpzUQZf4wCi2v8tmR1JsbdSWEP/okjN6YVUqRmltzLT6jHqPSkMNFUVXtJYl7NHwuXay8KKBdocOHYqy7RRZbYnzJZc1yrOy4WIpRqjaxZZ0CVYUB9RG5czl1qpY2nEs4nTIP/rU1x2hmYtk0ViOS2N1LxaSudssbL+hOZKioE6dOtVa0Z5TMg56LqJWXQ5xJMWR3b76juqGEnUsCi3/6CwOTS7ithq+YjQgCqQYz+zrtB1M8yd7HJecYUe/NTy2OefcUXqyj+6GNZhmirr2RsuIFA9iiImZXFmxrAY+cKUx9kuXLmUyAMDQRPbHLJt4baLPkGkD6dS3iXZtMULR3WBbcurUqZy/T0eOHKm9q9mzG9Ndz25hFFGnKEAVPd8cMIrtX1tbi6LOHP2L/a1eMYbvaVcx6j2Kbc6s/YsjWMsSSjV5rq2vrw9WyEtLS3sGg476rGyyWC5evNjvKMDY/lhLVLn8e0eXAz2M4jnYmh53hC6hyVKD3RFGfZEsNa7j0kzdOzPQiNvBDl9P472htKb3LJDuB7HJK8aQ9pyzi4uL7V/PCKXh10wbvSZP9uJdtd8aXvFkH/UNazCjLupi8VY3ontZqeJBDJnWj+JFbLn/17e3FBcVp22mAQANyjtxmczBxCg2uQceVNFS2kpsd/To0dIvLUf/rrR7u7CwUKXrV9qK7vl16+jEFcfFHjhwYHSdzeLAoAGGwpSOqDt48GDPLx5HhtKxlRWH94Xht393A+LIVvwGe+l4nagtmdxZxY7nkJrco5biaRt7mmnVDLOEJs+1SC0dS3fs2LEuM0ZSbE/76mLtmVamlrOy4UtQ6XPGqIqdql/sUfGgt4uVZtZajeuOMK6L5FiOS2N1r1iqMSXTOosVLS8vx0Uv/67V7sEayw1lj1jInkBxuHjxYun1ZFoaLRWdO3eu9MSJMhn1to3lZB/+sXvUipxzR8WLcGTLGXYMcMMazLiuq2H4Zs8oFA9iGOBw5JxtBnsmG0o3aRLKCgCYGSL7Y5ZNvDZDtvaKfZulpaXoYOcfbQ4dOhTdnujjlaa2RH+1eg/wWIdfborWfzSIo/cbHezoUZ85cyY2stPYyn57Yt2dPXt24DFAUSxdukbFct4VM0apRoaWKJbucaLIkwstGMX2Z/JtxYGOjYxNPXHiRBypEKuOP0s7fqFixYhdyxl21Ht8W3LRt1XjHkUxdjlHuohjFyutZQl7xI5kjtsaxbkWxdJpCaFVyLGWlZWVLvW8vWxHUatbmiyWWFSnYxp7F2uMAlldXY1/lGYrlkDkzEXXqngOdhr8XfsdobjqXbGKui6Se4zruDRT9zqdjLFHn7vGnT8fGeIEiX/EdS9KOJO3VS/DvuTSb6uxG0qUajGoWtTpIDZ5xRhSlE+UUq5yW5ywmdYmtjmT22TaKBUPza4RnexR7DnDjn4bz8XHQqX1ZHQ3rMFE+eTSC2os6tobLSNSPIgh0/pRPMQD98Xi0pGLaFPlAScAUK+8DZfJHEyMYqu1S0u1itJWYohWX5WfG4o+YM7QpucQupWVlcy6o6/vTEbmnG1HtO0zrW7Dj0wqbm2UbXSfM7mCS5cuFRvhpZ3conGNrIq1FLe5Z4+vYsdzLAbbo5biadtvH2rgJTR8rhWHC1esqLuij3ym1xt5h6/VDRdL8fAtLCzExTOTu4orfM5zW1EImaNWY7kjjOsiOZbj0mTd2xOq6vdknBx13VB29VXmYYoaLS2x77GKqOHtct0dNPMi7WJRNHOyF0/Yfp9QRCXMOXdUvAiPqxk2rqJuKda3fps9o1A8iKHfw1G6kJ7tlk7iiOQi2kxCWQEAM0Nkf8yyiddmyNZep2BEy8GDB7v8HlCnr8Bmcmfr6+vFjs3S0lLPDka0nqMLkTPs6GsMZb9yHW0yobLYtuLOhmPHjmWOzqJASvve1cMxOUObTKhsNxIUh7tiD/DChQutWdpViXoM39Ouosk9ahm+Gz/wEho+10rDuFHgXS4jLefPn28fzNp97zJTm0yobBKKJZw4cSJzFMQCV7v+QmhcGTJrrcZyRxjXRXIsx6XJunfktmPW5+fne56JIVYUJTCiEZbjvaG0iy2p8miqZYoaLaEYfu1UXM0PcB/Xyd7YAPeizN0mE0ZsXEXdUlx199t6M4oHMWRaZaVnTUzM5D7VuzQAYGB5Gy6TOZgYxZZqdP0ybSClrcS++gvFJUR7ONPKnDx5MvPtGGBYVbEcqvdw+zJk2z46IDlbmwF6B9FJyZnbVDn0Y+ybFAdXdQk3tQzc8WzGAHvUUqyufZ1iYbAlNHyuFQOGVYKiAxiyVjdcLKXf6644inpXMarT/TI7sOI5GPqqrsUldN/UcV0kx3JcGq57u1HoXT0DuROrlhtKmJ+f7/coT1ejJZSG2kpFDYlzJLZkpIH6XWNsEUVq5tsx2wPcx974HKzRMmrFgxj6LZbSR3XDhLJzEW2qlDAAQEUi+2OWTbw2Q7aMi32bliPVfo2rtLsYnd5MLhOLXSz8MFlfb3As9udH953vXEGbTKimdGerjxBquXTpUs7ZptN4tT0yd5tMGLHSvl/PENLwPe3RGWyPWobvxg+2hIbPtdIiOlrhlx/bRW3vObI2F90mE6ppuFhid4rf9a9+yYoNy3lu63CzA9wbviM0cJEcy3Fpsu4VI1b9noyTo64bSksc975i6A1fMYZUrJldHniUnrCZNgLjOtnDfhvgPsaibhnL04ueSp/tZVplcfXIOdsMvHelhTzMUwEAYDB5Gy6TOZgYxSEjQw6DGLipv2t9fT3nbJNpZYqt5WgWZlpljUVQh2nbR8ekGHgZeExb9G1zETsWFhYyrbMx9k2Kx6hnXR2+No7UAHvUUjxt++2SD7aEJs+10uvAiDp3Q9bqhi9BhwrvfegeKC4VO5gz74i9yLRaNXxHGONFcizHpeG6V/ounirvfZhAA1x+i5V5sK/cNHzUhhenVfG7DVXEXP3em6obb4to+PIf+CJcrD+jboZNQuNz+GbPKBQPYuj3cJQ+ThqmtZOLaNPz4gYAUJ3I/phlE6/NkC3jYt8muhx9NWqLX4ftPoamONKrr4FiLcUQTM8fZRtMLr1NJlRz5LYv0A2Li4uZ1o/SwZRVDn1mbZMJo7e0tJSr3NGzG9lkpGMAA+xRy/Dd+MGW0PC5Vsw5okGcufQ2mVBNw8VSXF1cBDb6fC1EMSA7okdczd8RxnWRHMtxabLuxVHL5B3z8/Pro3kvewNquaGEKL1+j3LDV4xhFN+p031TGx7gPsYWUbQlMt+OfhvPkT/n3FHxIpy522TCKI298dn804sqigcxZFpltSxkV/FCHfqtnADA8PI2XCZzMDGKQ0aGHAYxcFO/Xc7ZJhMKir2waKvHLvSr2McZUZhomLZ9aeO53y75ruhE5yLa9HwTbcN9kzi+u4rHKA5c5uugltpYr9yZbQPsUUvxtO231zPAEmKDM+uOkZ5rxWMXdS/T6jZMrW64WEr7vAOMji0uZ0TFW8s5mHO2yYSC4upCAxfJsRyXhuteS+TPTAUx15kzZzLfRPrcZXfHuG4oseqceceEN1oqitoeWxX7kltzW0tLS5mvPuM62VtiZzPTjjgimVbNwBfhYW5YgxlvUbdE9c6sO2KrMm18Sq/8/R6O0oXEhSKT+5eLaDMJZQUAzAyR/THLJl6bIVt7w/dtir3cLn2bYvO3yhdei4q/+TiiL9/n0ttkQgXRz8l52lR853dRcSRl92GjLZm1TSaMXjFs0bOuDl8bR2qAPWoZvhs/wBIaPteK14EwotG0ufQ2mVBBw8VS+taWAQa2Rk3LmXeMKAjY8B1hXBfJsRyX5m9/xZHZISYOHNEbo1puKCsrK5lWWfNHbWB7imi+wm/Oll63M61u420RDXz73jXwRThzt8mEkZmExmfzTy+qKB7EkGmV1bKQXcUrTBj4rUIAwMDyNlwmczAxikNGouuXaQMZuKnfLudskwkFpe3JWowoTDRM277YK6/Sm+gil9Km5/fP6+2bRCd6eXm5+GbQinrW1VpqY19GvUctxdM29jTTqhlgCQ2fa8XaPrpjN0ytbrhYinGnqGyZ1o9i37lLtHkYtZyDOWebTCgY10VyLMel4bq3a2NjoxgVLIo8AwzxH8ZU3FDGddSadO7cueJRiCk94+p9GdfJ3lJce1T4TKtm4Itwvc2wKsZb1C1RvTPrjjiVMm18igcx9Hs4Shcy8N7F9TkX0aZn8QIAVCeyP2bZxGszZMu44b5N8fWii4uL0dzv18GDB3P+Hf1udkW59DaZUMGxwpuMB/sZuJbSaEKmdZb52mRCTS5dunR+25kzZ6IutYt+Y65yR8+6GnNl1h0jOqxd1LtHLcN34wdYQsPnWpRPJu+oGOMYQK6gTSZU0HCxDHbaFhWXE9uQabUqHseR3hHGdZEcy3EZy+2v+CuKu2LtkTrwsNdRmMAbyrQ0WvaUT2xkla8xRFHnDG0yrW7jbRFFaWemHT3rzx59neztMnebTBiZSWh8Dt/sGYXB9mWP0rNm4L2Li14uok2sIpMBgKbkbbhM5mBiRDs8j82O6Ppl2kAGbuq3yznbZEJBsaM6vOgArq6ujqh3P0zbvtgRG6Bs2xWHoPX8dmgtfZOzZ88uLCzk/EPoWVdrqY1VNLZHLcXTNvY006oZYAkNn2u11/YuhqnVDRfLmTNnMtOOBgZSD6PhO8K4LpJjOS5jv/1tbGycPHmyePrsEcsc6XsHpuuGMvaj1pjij8eGGjdyvC2i4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an overlap in the cleaning schedule of two tank reactors","description":"In a certain pharmaceutical production company, there are two tank reactors operating simultaneously and independent of each other. Each reactor operates by cycling through 4 phases:\r\n\r\n# Filling phase - The empty reactor is filled with raw materials.\r\n# Reacting phase - The filled reactor is heated to start the chemical reaction.\r\n# Emptying phase - The reaction ends and the tank is emptied of all contents.\r\n# Cleaning phase - The emptied reactor must be cleaned to prepare for the next batch.\r\n\r\nAt the end of each cycle, a fresh new batch of drugs are being produced. The two reactors produce different drugs, and so the length of time to finish each phase for the two reactors may be different.\r\n\r\nHowever, the company manager wishes to avoid a scenario when the two reactors are both in the cleaning phase at the same time. This is because it takes manpower to clean a tank, and there is not enough manpower to clean two tanks at a time. If we start the filling phase of both reactors at this moment and continue producing batches one after the other without fail, can you determine the earliest time when both tanks require cleaning? \r\n\r\nWrite a function that takes 4 values, R1, C1, R2, C2, which respectively denotes the amount of time in hours for reacting and cleaning in reactor 1 followed by the amount of time in hours for reacting and cleaning in reactor 2. Since both tanks are of the same size, the filling and emptying phase each takes 1 hour for both of them. You are ensured that all inputs are integers and 1 \u003c= R1, C1, R2, C2 \u003c= 10. Output the earliest hour when the reactors are both undergoing a cleaning phase. You are also ensured that a positive integer answer exists for each test case.\r\n\r\nThe first two sample test cases below are illustrated in this figure: \u003chttps://drive.google.com/open?id=1BWnAMQgaiz5OZQe466DiFQ8yTWlm8JRI\u003e\r\n\r\nSample test cases:\r\n\r\n \u003e\u003e two_reactors(3,2,2,1)\r\n ans =\r\n 20\r\n \u003e\u003e two_reactors(4,1,2,2)\r\n ans =\r\n 35\r\n\u003e\u003e two_reactors(1,2,2,2)\r\n ans =\r\n 5","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1028.2px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 514.1px; transform-origin: 407px 514.1px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIn a certain pharmaceutical production company, there are two tank reactors operating simultaneously and independent of each other. Each reactor operates by cycling through 4 phases:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003col style=\"block-size: 80px; font-family: Helvetica, Arial, sans-serif; list-style-type: decimal; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 40px; transform-origin: 391px 40px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFilling phase - The empty reactor is filled with raw materials.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eReacting phase - The filled reactor is heated to start the chemical reaction.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eEmptying phase - The reaction ends and the tank is emptied of all contents.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eCleaning phase - The emptied reactor must be cleaned to prepare for the next batch.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; 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=\"\"\u003eAt the end of each cycle, a fresh new batch of drugs are being produced. The two reactors produce different drugs, and so the length of time to finish each phase for the two reactors may be different.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; 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 41.6px; text-align: left; transform-origin: 384px 41.6px; 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=\"\"\u003eHowever, the company manager wishes to avoid a scenario when the two reactors are both in the cleaning phase at the same time. This is because it takes manpower to clean a tank, and there is not enough manpower to clean two tanks at a time. If we start the filling phase of both reactors at this moment and continue producing batches one after the other without fail, can you determine the earliest time when both tanks require cleaning?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 104px; 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 52px; text-align: left; transform-origin: 384px 52px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes 4 values, R1, C1, R2, C2, which respectively denotes the amount of time in hours for reacting and cleaning in reactor 1 followed by the amount of time in hours for reacting and cleaning in reactor 2. Since both tanks are of the same size, the filling and emptying phase each takes 1 hour for both of them. You are ensured that all inputs are integers and 1 \u0026lt;= R1, C1, R2, C2 \u0026lt;= 10. Output the earliest hour when the reactors are both undergoing a cleaning phase. You are also ensured that a positive integer answer exists for each test case.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eThe first two sample test cases below are illustrated in the following figure.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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: 311.6px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; 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data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eSample test cases:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 180px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 90px; transform-origin: 404px 90px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; two_reactors(3,2,2,1)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 20\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; two_reactors(4,1,2,2)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 35\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; two_reactors(1,2,2,2)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 5\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = two_reactors(R1,C1,R2,C2)\r\n y = R1;\r\nend","test_suite":"%%\r\nassert(isequal(two_reactors(5,1,6,5),24))\r\n%%\r\nassert(isequal(two_reactors(1,2,2,2),5))\r\n%%\r\nassert(isequal(two_reactors(7,7,7,1),10))\r\n%%\r\nassert(isequal(two_reactors(1,4,6,7),11))\r\n%%\r\nassert(isequal(two_reactors(5,9,8,10),11))\r\n%%\r\nassert(isequal(two_reactors(6,4,2,7),9))\r\n%%\r\nassert(isequal(two_reactors(8,5,1,3),11))\r\n%%\r\nassert(isequal(two_reactors(2,3,5,6),12))\r\n%%\r\nassert(isequal(two_reactors(5,9,6,10),9))\r\n%%\r\nassert(isequal(two_reactors(7,10,3,7),10))\r\n%%\r\nassert(isequal(two_reactors(3,7,7,1),10))\r\n%%\r\nassert(isequal(two_reactors(3,3,7,9),14))\r\n%%\r\nassert(isequal(two_reactors(4,8,7,1),10))\r\n%%\r\nassert(isequal(two_reactors(7,4,10,1),13))\r\n%%\r\nassert(isequal(two_reactors(5,5,5,8),8))\r\n%%\r\nassert(isequal(two_reactors(4,8,5,1),8))\r\n%%\r\nassert(isequal(two_reactors(2,8,5,2),8))\r\n%%\r\nassert(isequal(two_reactors(4,7,2,8),7))\r\n%%\r\nassert(isequal(two_reactors(3,10,3,8),6))\r\n%%\r\nassert(isequal(two_reactors(2,3,1,6),5))\r\n%%\r\nassert(isequal(two_reactors(7,6,5,7),10))\r\n%%\r\nassert(isequal(two_reactors(7,7,7,10),10))\r\n%%\r\nassert(isequal(two_reactors(3,8,3,2),6))\r\n%%\r\nassert(isequal(two_reactors(7,5,5,7),10))\r\n%%\r\nassert(isequal(two_reactors(8,4,7,5),11))\r\n%%\r\nassert(isequal(two_reactors(9,9,3,7),12))\r\n%%\r\nassert(isequal(two_reactors(6,6,9,3),12))\r\n%%\r\nassert(isequal(two_reactors(4,2,10,7),15))\r\n%%\r\nassert(isequal(two_reactors(10,1,9,1),156))\r\n%%\r\nassert(isequal(two_reactors(5,7,6,7),9))\r\n%%\r\nassert(isequal(two_reactors(6,8,6,10),9))\r\n%%\r\nassert(isequal(two_reactors(3,2,2,1),20))\r\n%%\r\nassert(isequal(two_reactors(5,5,4,8),8))\r\n%%\r\nassert(isequal(two_reactors(7,8,10,10),13))\r\n%%\r\nassert(isequal(two_reactors(2,2,7,1),30))\r\n%%\r\nassert(isequal(two_reactors(6,6,9,5),12))\r\n%%\r\nassert(isequal(two_reactors(4,7,8,6),11))\r\n%%\r\nassert(isequal(two_reactors(4,2,6,3),31))\r\n%%\r\nassert(isequal(two_reactors(1,8,3,5),6))\r\n%%\r\nassert(isequal(two_reactors(7,4,8,4),11))\r\n%%\r\nassert(isequal(two_reactors(7,8,5,1),16))\r\n%%\r\nassert(isequal(two_reactors(4,5,3,2),7))\r\n%%\r\nassert(isequal(two_reactors(9,5,9,4),12))\r\n%%\r\nassert(isequal(two_reactors(8,4,9,8),12))\r\n%%\r\nassert(isequal(two_reactors(4,3,8,10),16))\r\n%%\r\nassert(isequal(two_reactors(4,7,5,9),8))\r\n%%\r\nassert(isequal(two_reactors(8,2,9,10),12))\r\n%%\r\nassert(isequal(two_reactors(6,9,6,2),9))\r\n%%\r\nassert(isequal(two_reactors(2,5,8,9),14))\r\n%%\r\nassert(isequal(two_reactors(8,4,6,1),27))\r\n%%\r\nassert(isequal(two_reactors(2,2,7,5),11))\r\n%%\r\nassert(isequal(two_reactors(2,5,2,1),5))\r\n%%\r\nassert(isequal(two_reactors(9,6,10,7),13))\r\n%%\r\nassert(isequal(two_reactors(6,9,9,10),12))\r\n%%\r\nassert(isequal(two_reactors(1,9,7,10),10))\r\n%%\r\nassert(isequal(two_reactors(6,5,9,3),12))\r\n%%\r\nassert(isequal(two_reactors(5,10,6,9),9))\r\n%%\r\nassert(isequal(two_reactors(8,6,3,7),11))\r\n%%\r\nassert(isequal(two_reactors(1,7,7,8),10))\r\n%%\r\nassert(isequal(two_reactors(9,10,8,6),12))\r\n%%\r\nassert(isequal(two_reactors(10,6,1,2),14))\r\n%%\r\nassert(isequal(two_reactors(9,5,9,3),12))\r\n%%\r\nassert(isequal(two_reactors(6,7,1,7),9))\r\n%%\r\nassert(isequal(two_reactors(4,1,5,2),35))\r\n%%\r\nassert(isequal(two_reactors(2,3,2,2),5))\r\n%%\r\nassert(isequal(two_reactors(1,7,3,6),6))\r\n%%\r\nassert(isequal(two_reactors(7,5,6,5),10))\r\n%%\r\nassert(isequal(two_reactors(2,5,9,9),14))\r\n%%\r\nassert(isequal(two_reactors(3,3,6,7),14))\r\n%%\r\nassert(isequal(two_reactors(5,3,10,1),39))\r\n%%\r\nassert(isequal(two_reactors(2,2,2,7),5))\r\n%%\r\nassert(isequal(two_reactors(6,1,10,8),18))\r\n%%\r\nassert(isequal(two_reactors(8,1,9,10),33))\r\n%%\r\nassert(isequal(two_reactors(10,9,8,6),13))\r\n%%\r\nassert(isequal(two_reactors(2,4,2,1),5))\r\n%%\r\nassert(isequal(two_reactors(10,4,3,4),15))\r\n%%\r\nassert(isequal(two_reactors(5,7,1,9),8))\r\n%%\r\nassert(isequal(two_reactors(6,9,4,5),9))\r\n%%\r\nassert(isequal(two_reactors(1,2,7,4),10))\r\n%%\r\nassert(isequal(two_reactors(9,2,10,6),13))\r\n%%\r\nassert(isequal(two_reactors(8,10,3,5),16))\r\n%%\r\nassert(isequal(two_reactors(5,8,9,2),12))\r\n%%\r\nassert(isequal(two_reactors(2,4,1,6),5))\r\n%%\r\nassert(isequal(two_reactors(4,2,3,10),7))\r\n%%\r\nassert(isequal(two_reactors(7,5,10,2),13))\r\n%%\r\nassert(isequal(two_reactors(8,8,6,2),29))\r\n%%\r\nassert(isequal(two_reactors(6,3,2,3),20))\r\n%%\r\nassert(isequal(two_reactors(9,1,3,1),12))\r\n%%\r\nassert(isequal(two_reactors(5,1,9,2),64))\r\n%%\r\nassert(isequal(two_reactors(1,4,5,2),18))\r\n%%\r\nassert(isequal(two_reactors(10,4,3,1),30))\r\n%%\r\nassert(isequal(two_reactors(3,1,6,8),12))\r\n%%\r\nassert(isequal(two_reactors(7,1,1,8),10))\r\n%%\r\nassert(isequal(two_reactors(10,6,2,9),13))\r\n%%\r\nassert(isequal(two_reactors(4,3,8,1),44))\r\n%%\r\nassert(isequal(two_reactors(1,7,7,6),10))\r\n%%\r\nassert(isequal(two_reactors(8,8,8,3),11))\r\n%%\r\nassert(isequal(two_reactors(1,1,1,1),4))\r\n%%\r\nassert(isequal(two_reactors(7,6,4,1),14))\r\n%%\r\nassert(isequal(two_reactors(8,4,7,8),11))\r\n%%\r\nassert(isequal(two_reactors(2,2,6,5),11))\r\n%%\r\nassert(isequal(two_reactors(9,8,8,1),33))\r\n%%\r\nassert(isequal(two_reactors(1,1,8,10),12))\r\n%%\r\nassert(isequal(two_reactors(7,2,8,2),11))\r\n%%\r\nassert(isequal(two_reactors(2,7,4,7),7))\r\n%%\r\nassert(isequal(two_reactors(8,6,8,3),11))\r\n%%\r\nassert(isequal(two_reactors(8,10,9,1),12))\r\n%%\r\nassert(isequal(two_reactors(4,4,7,6),10))\r\n%%\r\nassert(isequal(two_reactors(8,4,3,1),12))\r\n%%\r\nassert(isequal(two_reactors(8,3,4,6),11))\r\n%%\r\nassert(isequal(two_reactors(3,7,5,2),8))\r\n%%\r\nassert(isequal(two_reactors(8,2,3,3),23))\r\n%%\r\nassert(isequal(two_reactors(6,1,5,2),9))\r\n%%\r\nassert(isequal(two_reactors(2,8,3,7),6))\r\n%%\r\nassert(isequal(two_reactors(10,5,7,8),13))\r\n%%\r\nassert(isequal(two_reactors(5,7,2,10),8))\r\n%%\r\nassert(isequal(two_reactors(2,3,8,5),12))\r\n%%\r\nassert(isequal(two_reactors(8,4,3,1),12))\r\n%%\r\nassert(isequal(two_reactors(7,5,5,7),10))\r\n%%\r\nassert(isequal(two_reactors(1,4,8,7),11))\r\n%%\r\nassert(isequal(two_reactors(2,2,1,1),12))\r\n%%\r\nassert(isequal(two_reactors(5,7,8,6),11))\r\n%%\r\nassert(isequal(two_reactors(2,7,2,2),5))\r\n%%\r\nassert(isequal(two_reactors(1,2,2,2),5))\r\n%%\r\nassert(isequal(two_reactors(4,4,3,3),7))\r\n%%\r\nassert(isequal(two_reactors(9,8,6,2),19))\r\n%%\r\nassert(isequal(two_reactors(3,1,10,8),18))\r\n%%\r\nassert(isequal(two_reactors(6,4,2,7),9))\r\n%%\r\nassert(isequal(two_reactors(10,2,3,4),27))\r\n%%\r\nassert(isequal(two_reactors(1,7,5,10),8))\r\n%%\r\nassert(isequal(two_reactors(5,7,2,4),8))\r\n%%\r\nassert(isequal(two_reactors(2,8,9,4),12))\r\n%%\r\nassert(isequal(two_reactors(7,3,6,9),10))\r\n%%\r\nassert(isequal(two_reactors(6,4,3,5),9))\r\n%%\r\nassert(isequal(two_reactors(5,4,6,8),9))\r\n%%\r\nassert(isequal(two_reactors(5,5,2,1),10))\r\n%%\r\nassert(isequal(two_reactors(3,4,7,10),15))\r\n%%\r\nassert(isequal(two_reactors(10,5,3,8),13))\r\n%%\r\nassert(isequal(two_reactors(8,8,8,2),11))\r\n%%\r\nassert(isequal(two_reactors(7,5,3,1),12))\r\n%%\r\nassert(isequal(two_reactors(9,2,2,7),38))\r\n%%\r\nassert(isequal(two_reactors(9,6,8,2),12))\r\n%%\r\nassert(isequal(two_reactors(10,6,7,1),50))\r\n%%\r\nassert(isequal(two_reactors(9,8,2,6),15))\r\n%%\r\nassert(isequal(two_reactors(4,6,4,5),7))\r\n%%\r\nassert(isequal(two_reactors(2,3,1,10),5))\r\n%%\r\nassert(isequal(two_reactors(7,10,2,10),10))\r\n%%\r\nassert(isequal(two_reactors(8,6,5,3),28))\r\n%%\r\nassert(isequal(two_reactors(8,3,1,8),11))\r\n%%\r\nassert(isequal(two_reactors(7,8,7,5),10))\r\n%%\r\nassert(isequal(two_reactors(4,9,4,9),7))\r\n%%\r\nassert(isequal(two_reactors(8,9,6,7),11))\r\n%%\r\nassert(isequal(two_reactors(10,5,1,9),16))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":55,"test_suite_updated_at":"2020-03-31T12:17:41.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-30T13:46:07.000Z","updated_at":"2026-03-31T14:28:25.000Z","published_at":"2020-03-30T14:06:30.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn a certain pharmaceutical production company, there are two tank reactors operating simultaneously and independent of each other. Each reactor operates by cycling through 4 phases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFilling phase - The empty reactor is filled with raw materials.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReacting phase - The filled reactor is heated to start the chemical reaction.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEmptying phase - The reaction ends and the tank is emptied of all contents.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCleaning phase - The emptied reactor must be cleaned to prepare for the next batch.\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\u003eAt the end of each cycle, a fresh new batch of drugs are being produced. The two reactors produce different drugs, and so the length of time to finish each phase for the two reactors may be different.\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\u003eHowever, the company manager wishes to avoid a scenario when the two reactors are both in the cleaning phase at the same time. This is because it takes manpower to clean a tank, and there is not enough manpower to clean two tanks at a time. If we start the filling phase of both reactors at this moment and continue producing batches one after the other without fail, can you determine the earliest time when both tanks require cleaning?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes 4 values, R1, C1, R2, C2, which respectively denotes the amount of time in hours for reacting and cleaning in reactor 1 followed by the amount of time in hours for reacting and cleaning in reactor 2. Since both tanks are of the same size, the filling and emptying phase each takes 1 hour for both of them. You are ensured that all inputs are integers and 1 \u0026lt;= R1, C1, R2, C2 \u0026lt;= 10. Output the earliest hour when the reactors are both undergoing a cleaning phase. You are also ensured that a positive integer answer exists for each test case.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe first two sample test cases below are illustrated in the following figure.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"306\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"573\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSample test cases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e two_reactors(3,2,2,1)\\nans =\\n 20\\n\u003e\u003e two_reactors(4,1,2,2)\\nans =\\n 35\\n\u003e\u003e two_reactors(1,2,2,2)\\nans =\\n 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O7QJVl6PHdVTC7aLlmJ/53S5TfW8OPZmKOLY893X+8mwXH12et/1OxW1FMCHdIsfsr8xeSbmzXPWy2sMF3zbZLl6+fRBqX3mtIHzvL3B/hjo+Sqpk/lbq2Ngo0Dfyug7r+quPc02GVRlj6HGydDSuYPet7joY6rggjEZxwwRcM3tDVEqOFwAAACImwoEecRMf6zw6F58n+9/zjuAEyDvfIm+5wub40d219OhdOy6VN1x9p5zuM+z5rW/y8vO402W25ZDc92Do7lurJWFvhkrtwIWvy0Wp3UdGYqmcbOpoSfmYuLdKNoeOem1c3Xjr7lTFbFaScR2E8PGtz7sZ112g9M3X0IBOoIxUSqlWa4BYrqvrWfWYaaHU0WUklpLcpnujF05wYEy3yNH7rHCg+yZVbZMvl1Ast7dzm8LuK6u+dUgOF4tSbTT0ykzLiKYXrQl9fKLMkZN1VXfNAa1LPh22JdOw4+TxBz7bBh4XDKUDpaaLpjrnhNttHC8AAABEy3IEenbGZJd9eOudwUOof1onU776w/JpLzjz0Ifld73Exxe8XF7/7tvkzhP3yzW265bfK6+/y3TXusYL+Mjn5P6bXyeXXXxmO5fP1x+McBLlaVE3TPomx066RY2+R05k9smmL2hiOCdN8KGej/cGOkxLmS1ppUPRXYj0fN0yKJ2XfNnfXarT+q7eG7Gx6K4Z9qErLrt9EZzGqS31/4CuPLE9si98pCdQIqH2oxPQemTINhlh9pW6GT2o72TruotKXtJqWb3f9RDirfQioxyfyNL5empS08Ezp6Jqd13yGyESZIc5Tlr3cmGOCwbQXUTdrouSKIgTNtjC8QIAAEDELEmLnsvk0ivsQz2E+tX+Ua6+Kp++8VLZr5Mp3/wO2X9xTj6tZ7cCM1fKkY/fJddddZnsaOXvUc6JdebJ2XmZbOiAj8m7c79cY8u7/z1/4K7vhee4uXiU13/EduvqmYrySrsM1H1QqiS1iro91kNTt5Idj6oqWdsiJZHJSKFQkUrFEaepb7yXXWdgzJtqtZIvEfAowu+rVMnthmUGk7L0cVqEIfAXUiwlB3RLpvpRMT0BZ4TjMi7dzU53satLQnev8rXQmSWOFwAAABbR0nTdemXWJj1WTGubVtcp3S2rPQrWee/+za5gy01yl867o5y++w/kvd3dt+7OtbpgvcsuJztFXijtIduNnf9MUrY10K0fyvlaDt0p7/K25erg1kYrrTWCVF42/P1e4rtNa59MpTfQ4U62RUvjlOi2M3q5WqkkuVxKUqmYxOz8buFHRZpMbNe6+r+X/8fHdnnaFiPuK90Nq2S6eqmbVZ1fyESD7BDiYY9P1NgWUZOMmjapgccFAaqSXYtLvu7mkxqvq+b4OF4AAABYNMuTo2fnW+SWj1zZCvYEuuB98v6rbLLjS/bYkbN0Th2dd+dMuexNN9k5ipeM+ZLfbHXn8pYzwSNvCPUr9tjA0Ytl4/e9EbZukv0X2+DOxa+TW83fr5QjXuJmdEiV3BYl9fzh9q/ctotTWec98fdzaNjhyfXwxXaWppObtpbSQ36bRMGKN3yyXV89v9HOo6Ju2rP6pr2nNdEUuh2l3Dwepjxv+/W2e9u1jYbuKzscerLYXi4Wi8su018lIbt1/5QRj09keF3vymnxD5PdyvuS2CehBt4aR5jjgh7uiH46CXutI5/UzHG8AAAAsKCWKxnzJUW5xebS6Qj46Bw8H7lfHvz4W3zdsS6T6068rzWcuojO06OW+ciV7tP7Pi6fMq1yXiwbH79fjry7K4jk5fXxB290sKkjl4/rvCv0cOt02+rPdnvRyYdbLSViknMTXEg+7csDE3eHJ08UDriJm3033nHfMh0jGhu+9cW95fKqRJHMwe5uHO4yyYnGCPfek2/77bZvm7D7KnXAjA5Wz/uW0yNLdQQyQh4fzd7wRmNIafd9u7ux/b5bCbI3Z9glKNRxQYdGUcxge/7Pfcc0w4AkxwsAAAALarkCPZrNpXOLPzeOzsETNGz5zrfIdR/3ltN5etQylxRbzzdaOXteLK+8qti7Tp3Xxy7R4s/lY6dbrvcNtx5W4HZEVyy36Q49blpKuPN0ty49HLE/v4Ue4qiz+4W68d6sdC2TMUOau13CTorjzjXr8xJAu9x1+XOymtGz7AL1k0675csYYrlaQHnq/dhn8xd2X6nlao4UOhdUi1bE8ec2CXV8Ikjnlup6330TZE9VyOOClsbxo9Idx5wfjhcAAAAW01pTJxaYA/1rpw5sYDZ0N7I5HUoMpPOFpGWrEPFgCAAAAABgIS1fix5gEbSS9vrz/+jhnXW+kCkO8w4AAAAAwAho0RMRtOiZN3c458CcPIkCXTcAAAAAANuCFj3AWMjPAQAAAABYPLToiQha9AAAAABYNPo+cJ64JwJo0QMAAAAAmCEde5nHBMBFoAcAAAAAACAiCPQAAAAAAABEBIEeAAAAAACAiCDQAwAAAAAAEBEEejBlDakWs5JMrpkM+2ZKJiVbbdi/expS1Mski+rRdtqe7WgUk+390z0ls1Ls2F+Lsq9WR6Na7KrDWempwj04TouqmlXHJVu1zwbhGAIAsF0aRT1C1+ApzLd5t4HX3WZS13nukl3XAaM+nw/uIxAGgR5Mjzo7J9fiks6XpV638zT1pJyOSzLUjRakXpa82l/srm1SzUo8ne+qw2VJx5NS5Bty6eiLoXTZPgEAAIgy7iNgEejBlFQlG1c3x+pRIlMRx2lKs+lOjlOQTEKfd9ILeNKJSa6mtrOWU4/mLSMVu4/8k1PJmL+WDxF5n7+GFA/pqEBCChXHHhNHKgVVgVXtzh/mW3N5NKSaTUo874/YAQCARVcJGDbdm1J2mdEFX3e7U8mud9T7Au4jsLgI9GAqGsVDYm6PC47USimJ+c52sVhOSpsFdesc4qTTqEpWNy+0zQ+TfbrMNKpd3cPWkpLtaG7RbqZY7eiG0385d27Y17nMdnRsQ9V9/QQRrViqJOYcXT8pjjvLx79/BmxTa5l+y6n3qW6CO5YJ3tHDj4cqT/8tEr8cNI7L0bqux5uSS3mVOCap3KaYWM/WKVtPhhl0nGwdUzus3fTW268hjwuGUPtfty5UJ6VMpaAuhcYx7jEEAADLqX0fEO4rvXv59nPuI5SQ93WYDQI9mIKGHNd3x+p26mCuTzw7lpNNxxkc8dZdv+JpKft+gK8HdJnRN1ZxdQfX0bVG6lLOBzRTrOcl3dENp89y3UK8rrUd9rm7TFpm14DgpBxO+vfPgG3q2Ibu5fSXUFzy/h2tl+lu5hnyeESKqqe1ZlNq/erx+q4Qv9gMP07G1iHZ8CpLYrfEYyGPC0LZrVsWNmtSSu2yc0Yx7jF0HwIAgBXGfcRq3kcsGAI9mAJHTuoPcWbvwOaUMX8znx7qpLGhu34lJNPqMqObH+qWQP4uM+2gUsXXPazp2BZDx/xnGMvc8Nn1mWYZfZbrNvB1VTlszsS+Lj5OxW31MSEdSVfn2N79qU6OZSn4tsk2zWxtU8h947Va8b2/3v0X9ngoqZL5W2n8trQLr1HcMF+8mb0h3uTQ42Tpb9GC3bc6ABrquCCclOR0y0L7bGTjHkM7GwAAjC8dkIRZT5NdDZXVetutS9pTdsL19sF9RLj7CMwMgR4sBl+XmVKry4xufpiTTX3WKx+zJ2HbF7ZZkrg6iehmkcVsVpI2P1AvdbLy3fDFcgfVnDCGvK56TJ0s3e1tdfGJqZtL20UtnOAvHB1JNyf+A91BBbVNvpvJWG5v13sZbd/Utw7J4WJRqo2GXplpydL0ojWhj0f06S9Mk+dFfaGFC2YNO06e4BZwA48L5mSyYwgAAFYZ9xHcR2w/Aj1YDM5JcxKp5+O9JywT8d6SU14zPzO6l5ofj5tmkfmyv9ljF92dwj50xWV3mDPokNc1Tm2p/ydk356um7zYHtkX/gwdKJFQJ2KnJj33j2HeS5h9o07GB/WZva6bYuYlrZbV+zmZ1Sdrd5GRjkdk2WS++gszURAnbLAlbJ3rXi7MccF8jHsMAQDAxPolY57sZy91fa1W0mqp0pq8RMxTNOQ6gvuIVbiP2H4EejAF9kQxJDrbKGancNNa9Y3ulZFCoSKViiNOs9IVlV4GwV84tZr6wuk+OYcSft+kSm7zST0amqde1ifrGTVfXToN0/84Xa6LTjA+r245HBcAAAAMx30EBiPQgymIyR4Tfi7Lob7ZtXRf1LI6CZzUi/eK7zZNFTOV3hOWO9nIdOOU6Bi4Xq5WKkkul5KUOpvF7Px5ie1aV/+vy9HjXe/XNlXcFiPuG918smSaaKqTte4XbM7iZTHda8Mej0hSX3RrccnX3X7FfRMzz8jA4wIAAIClxn1ElO8jFgeBHkyF1/dUN9FLZquiu2t6Go2iZHWWd/U4UTgQ3DzSNlUsp5NS9Df5adhhBrsSpelkX62l9NB9JuGXEnr46wml3H6t9fxGe3v1tnrbsY2G7puqOxx6stheLhaLyy7TLCshu3W7zhGPR5RUs7quJqTg6BGb5vgtFOa4AAAAYLlxH0HLnzkg0IMpSUnJZlyvl9MSj/v6Ysbz7tB6mcqA1hExybkdPiWf9vXnjLvDDLYCRF7fVV2Gb5mOEf7mIiUHTGp83/babd02YfdN6oDJ6l/P+5Zbi0va7Oh94nYXDnk8NHvC7xhScVk1inJIRyT1+/bV4fY0wy+mUMcFAAAAy437iKnnRUIPAj2YHp1x3TTdS5iAT0vCDq03LJmtHqbb6ezv6b22HSBSJ47NStcyGTM0YcWcT06K486duViuJo4qtL0pelvV9ttn8xd236jlao45Tm3qmOlhEv25aEIdj2hpHD+qvpK2S8jjAgAAgKXGfQRmba2pO8rNgY7iPXj6CfsM03bOjjNNn0dsN53fJS1bBU5iAAAAgL4PnNdtiipqie+JuI/A9NCiBxiHHX5wLVts92NVj9z8LiLruzg5AwAAAOjCfQTmgBY9EUGLnnlzh98O7EubKNDVBgAAAFBo0dON+wjMHi16gLGQTwUAAADAqLiPwOzNtUUPZmte0WuOJQBEH61EAQDTMO97B76/gDkGegAAAAAAADBbdN0CAAAAAACICAI9AAAAAAAAEUGgBwAAAAAAICII9AAAAAAAAEQEgR4AAAAAAICIINADAAAAAAAQEQR6AAAAAAAAImKtqdjHAAAAWBJrbzthH22P5g0X20cAAGCR0KIHAAAAAAAgIgj0AAAAAAAARASBHgAAAAAAgIggRw8AAMAS6s7RM+ucOfMuDwAAjIcWPQAAAAAAABFBoAcAAAAAACAiCPQAAAAAAABEBIEeAAAAAACAiCDQAwAAAAAAEBEEegAAAAAAACKCQA8AAAAAAEBEEOgBAAAAAACICAI9AAAAAAAAEbHWVOzjmVpbW7OPAAAAMLH8p+wDq/Aq+2BG5l0esILmdGs2V/O+D4ziPgRGNddADx+62WH/YtVQ57FqqPPotva2E/aRq3nDxfbRbMy9POo8VkxU67x5X6UL7LPZWsvex3kDUOi6BQAAAAAAEBEEegAAAAAAACKCQA8AAAAAAEBEEOgBAAAAAACICAI9iKiGVItZSSbXTAI4MyWTkq027N+nrSFFXVayqB5NXzWr1p2t2mdAkOWv841qsWv7szKzzUcERKHOd25/Mjub7xBERbSubdTVjWT1e+D6Bkrjkw+YRMr9puT7T0v1MbvwiBrFZPszEzAlF+V6o1GUrN4W+3T2n8FgA/eX2r5ix87anm3EcAR6ED3qJJlci0s6X5Z63c7T1JNyOq4upJfrgkKfbNNl+wQIEoU6r2544+l81/aXJR1PSpErB3SLQJ3X5/a4Orn7t79ezkt8zX+RD1gRu7bRqtm0cHmDsOpfe1zS7zw9k/Nj3VxvbP+5t3H8qJT9n+9FpPZVXp1ziM8uPgI9iJiqZOPqZlE9SmQq4jhNM8SinhynIJmEPj+ll+Tk1FAXQepGIL/oZ3xsryjU+YYUD+nL/YQUKo7dfkcqBbXx6p3lD3M1Ab8o1PmqHNbn9kRBKq3tV3Veb7y69T1GlUeHKF3buPgRC8HOkkrpAjMUe+e0LpWLzlB/f1wOffJJd9GRZaRiPzedU/vce2jhflmKSa6mtrGWU4/mLXh/OZWM+Wv5EC14Fh2BHkRKo3jI/DqUKDhSK6Uk5jsrxmI5KW0W1K2k7+RUzZpmiL0XR25z4qTvhG+a2PubLYY5uzXUevzN8kM3DdXlx81FUKaiLuLsXKBbJOp847gcNfe8m5JLeW8gJqncpphYz9YpLibQEo3zfEpK+qJZXby3qryu8wf2mW3fOkWNR1t0rm2sRlE28nV1fVPh+gYhPUNSb/zpGdUXde4tHQxed8i63t0Nd20tKdmAD1P/z5vb/cn9cbcsaV2W+WN3t6j282pHd/cQ5Zllqu7rJ4gKx1IlMbGe+klx3Fk+/v01YJtay/RbTr3PrL/7mFomeMdPdi6KuuaczLGolcT+1ZymuilU+yLTrNg5QRzHsY+0SlOdq5rqasM+tyoZtZ5Es+Atap7rdfsn39+9shMF9chyCk114TXkdf1UmgW1Te5ifbZxxel9iSjV+SC2DOq+ofclolznHbUJo71W8p/qmGZt7uWpfYmo1Xn/tnF9003vyygy76t0wcDJ2XeGWu6sZiXgb83fW29WLnLrWmLfeu/ffVPQPnQKCTW/z2dIfXbcc69at78Sh6zr7rqDlpNmR9Ue+HnzPuftyd2W7s9g73L+yV/eoO0a9pkbuL8Ud395f/e2MdPMBGxb2G1qL9f/PXZs9tSvOaOHFj2IEEdO6kB4Zq+k3BmBYv6fwtSSe9VVhpSPiT+2XT1WVueJfbLHLOrrVmKbS7vNFuty9Hi/sLF6zYZuZp1Q51KvK4p+nf7VLUxXlJTk9K929hkQLEp1vlejuCH6x63M3kHvDqslinVercf8IqlbceruizXJcfJHS7TqvMnLkyiIo65xgF6PSzogEfPaO7ckfY/++1ly8NXPMEuOzm0p024lYqe424JefcjkYOvkG7auN+S4bpKsXtvuhqsmRy+nP4Lt5QZ/3twuWk5Bv8rtMlUb9kWgu3Ha8tzX+cuz3YN1ed72OxW3lfSEdIscs7+6z0n1strD6rPd2ib9/jr3Qah95bXy9r2/wP055WvOKCLQg5WXcq+GfDkRquJeC+1xAy3+biX2nKubLeoTSt+TsO81pXa7fPW6nGzqs2zXxRcwT8tQ5/WFhGnCrL7ouR/ApBa7zusb+YQk9FWsvkBNk4Ack1vIOm9uENWN5+Z25BvBcjtDEhfFxSntGBjwHI86/5qgQqm97tB13ebQUa+NS8N0pypms5K0ObVaxvm8DZSRiu8H4Viuq+tZ9Zj69NvyvO2PpSRnu3mGExwY04MI6H1WONB9JNQ2+XIJxXJ7O7cp7L6y6luH5HCxKNWG+kKM5aSm9lXTuyCc2vdvtBHoAVLuiagVJTYnx4Tsc3/yalnf1fl8IOekOWnV8/HeE6SJsG8JKRiwbRa6ztsk5PpCgl99MS0LXed1vp6a1PQFsKNzltQlv+HlYwDGtGh1Xo8aps7r/htdoFdnMmbnrWepWqsuBy56rmy+8cwJA4RuSxkdXNGTblFj1p3ZJ5u+oIkxSl03I+Kp+bplUDov+XLZvDbISJ+3QRK7JW4fuuKy2xfBaZzaUv/v/bxLbI/sCx/pCZRI6BY5AS1Ph2yTEWZfxXJyUJ+89IiC+byk1bJ6vyezOujjLsJ9VjgEehAh9oQyJIrbKGY7TxZdTZw7mzYDiyxqdb4hxaRuQl1XNwPONo0ygcUW8fN8LCUH9K+R9aPSt/cMVkw06rweNrr3xswOr15Oq8e0ZEOv2PoOqb31LKnf87DE3//YVAPgukVNrZKRejkv8Vay41FVfSPiZaRQqEil4ojTjEKi8c7AmDfVaiXfIAKjCL+vUiW3G5YZDM3Sx2kRhsBfJgR6ECEx2WPC1IOGR9R9VsvqZHFSL97SbuLc1bTZZ6RRUOK7za8EmUrvCdKdyMGAaYhSnVcXAGtxydfd/tbjNWVG9EWkzttfNScZ+QSrgmsbrLj1HVK5SP37tYdlY+yh1ftIeSNI5WXD//kKW9cbp0S3ndHL1UolyeVSkkrFJGbnd5vXiIqxXevq/wH5tmyXp20x4r7S3bBKpqtXUxydX0gfJ3M+U/9wLgqFQA8ixeujqn8xSqoLaN2t09NQF9bZpPvrUaJwQDo6hKQOmARlW4f0EKZdTR1tM8d6fqP9a5Nel75I7/cLgH1NWedaaP+8pl5nhzVcIyKN6YhKnTcJOtV2FJxaR39roFsk6rx9rW7J4B8ytpWbilal8IlCnY/lagE3Y/aX/ExFPebGDP2l3hh3PwNHvzn16+dUya2H9fzh9rpHrOu6i2RrKbVM1iQKVrZOufNH+rxNoduR7bppyvO2X2+7t13baOi+Ut+DusVfstheLhaLyy7TtDEhu3X/sAnORStFnWjnYlBRA4d/U1MikWlWFmGYNKfQzOhtsU/npaKHsMsMLlXvJ1h9h9uzU5992a6HAcc4cEjEgKEA/UOQ9nmNnjqGbxyK4UeD6P0Ia9nr/LDtHzDE5yrR+wJWFM7z6rXB7yH80LBzH+583uWp/QErctc2Gtc33fR+jCLzvgKGQvdPA4dXV5P7d1VfLooH/t2bgvah+znofy3R+pz462Kout5/KHAzhfjs+Itsf169Mro/gwGfScPO963Mv66eachnbtj+6hR2m+zzoO3RU/d7HLiMMtVzUTQtRYueer28EH3ydP/i8pzDoI1i0g75h9B0ZnbTxC8h6qKoLWGH4OuT3DW2Z5+7fNAQpqlSK2mby13XwDyxOpu+09m/1NsGuqVgqpa8znu5G4DQonCeV6+tdb22b5JLgGsbrLjYq18ohRepB/c4kg3q6zOBWG7THXrctLJ054Wr6zHJbVa6lsmYIc3VR0vdxJ4Ux50b6vNmWu/ZBeonna6WPqPRreh6y1Pvxz6bv7D7So/O5ZhzXZsdGc2fu5Fz0VBrOtpjH8+UboLVrygdzIjn16XSLPV+CakqXs1utJJzbueBG7yd09Z+34Zu1jrgm3fQ/kVIuqlguqx2dXPwRQ4WAnV+CqjzS4U6PwURq/NrbzthH7maN1xsH83G3Mujzk+O8/xSiWqdN++rdIF9Nltr2fs4b/Sl8yGmZWub76kxH0vQoicmqZLbN7mH7tdn+uG5UzKZ9Y020Kb7vCd9y+nM/tlWB8k2s5y3jFpXexE9Eow3XFtZ0ros/+u7tkO/tnM73NfrpIs6WOQuF7ytLv0h1CPP6PjOdkZeV4g+hofUDk8U5AAXQlgF1HmsGuo8Vg11HlhNDS/hvz//j25E4Obzmtow71hoix/oabQrZQddgeNqvq+9v9vFK+kL0OjFkhJPl/VQ/D56XP54u2meVs26y9mnotaV71pXIB0c6toO/dru7TC2DsmGCRYpid0SH/AZ262bpzV1UtJddg5mQwfV1InQHsOgESmAaKHOY9VQ57FqqPPASrPJitUNr8T1ucBMbiMCAr+rY4ECPW5LmVarGG+K20opGTnYamLWsFnD3X54unmenvR4+wk1N3/Yi+A05LgZQ073efdl+Xf0cqpEMz6bptanf/FQcwt2Od2nUQeE3GHpdF9BNc903lTrUn93m7u5rzMl+LfDLKe2Y6Mri7qONhXscv4+hj1Skiul+FKei7iYJO6K7vtJM0ZEH3Ueq4Y6j1VDnQdWW8g8N4i25pwMKmpgVnBJNFWlbGfY1uzIA0EZtftlCXccp1mpFJqFjG+UC7Ve94/91+fXs25vBARvPT4VPVJWa+QML3t42OzlfuFGJOjdb0xMTExMTEyRnrpGwQpcZprTvMtjYlrBKYqC3ucsJwDN5sImY9b5cjZMkpqCbJa6Io/qbzqxXH+6ZY4dtcJ08bLj83fL2ATHdpn1IYnqerZz0OvMNm7Z7dA5euKSl8IYUVTd/DYtZW9b+3D3r30yY6qo+SZUi2hZD55+wj6brXN2nCn1h263z2YrsfPyuZZFnZ8MdX5y1PnJUefHd84NX7CPXPX8d+2j2UgUnm0fuWZeHnV+YlGr855on+fnVOkBRNrC5uiJpUpSq2SkrvsWJru6QIVWlawN8iQyGSkUKlKpOOI0KyQ4BgAAAAAAkbPYyZhTJTuufl42/JmN47tNjh09VKSOevdOXmueU7Jll6uVSpLLpSSViknMzu+2dWq8cFI7109b9digFkcAAAAAAADTt/CjbqVKbuubev6wtMIpNpN4OZ2Uon+M8kbVHcZcD11uZ2k6ENNaSg81aRI5K1un3Pl2ffX8RnukrEbRHbGgpzXRlrTiQa2M5mnJ+rZDd/Fys5rvkz1kuwIAAAAAAHOy+MOrS0oOmFGsypJujYcek9xBd1SsfDou7RG60qJHL08UDrg5dHyBmNbQcnaoyU6+9cW95fJmSPfMwe6cOu4ySRMRcl/nFtHejrgZQj0hhU2ymgMAAAAAgPlZ2GTMnWwy47rbDauVk1i3utnItwM3iYRkDm6qv/vCK6YFjy+4k8hI4eAB2XVMD9uuh0rvTQDtLqqHbu9al875k7Tr0sPTqQ0xf+3ZDrXeTbXe1ksXJxmz2lS1r+2TPtQu7nMcXKqooYn9Gp98QOJHv2ef9Uq86Cw5eOUOST3PzugjTBLBZS1rWMLC0zdeKpe953P2WR9X3CYPXn+ZfRJstISFj8pnbvyvctPtd8iWl+Pz/HNl71t/W95+yfPtjP5GS1g4eVnU+WDUeeo8dT5Y1Or8eMmYx6+Hoydjps4Hoc5znu/HrfMhKj0ADLEQLXpiuZo6qfUL8mgxydXc/DsdsY5YTkp2vplqta7AjBJLdS1TkpxaJlXSzzvLNAmgveWaAetSS7fW5QV5tJ7t8Ad5NLv9Iwd5NFWmLS9K6l97XNLvPN3RxW5WolrW1J3+hGR27pffvs53caJ94QE5duV+yVxzr50xBfMsa0FQ5xcQdX6mqPMLiDo/U9T5BUSdB7CilqDrFmZB/7LV7DNNL6R0llRKF5hfkjqndalcdIb6++Ny6JNPuotOLKplXSlHTj9hfiELnIb84hXevfKBi4+YJOXrV1wrR0/cbn690tPRE/tl7/kiWzdfKx+42116MvMsq406Pwnq/GSo89NBnZ8MdX46qPOTo84DwKwR6ME2eIak3vjTcxriPqplTdcjN94ix9S/6+86IuX3Xihn73Dna2fveI28/Yb9sq4eH/vQJ+QRd/bY5lnW4qDOLxrq/KxR5xcNdX7WqPOLhjoPYJUR6MH8PfakVD/qmGTXMxfVsqbqUand/oD695flyqv69B9XFynvOnFE6h9/jZxtZ41nnmUtEOr8gqHOzxx1fsFQ52eOOr9gqPMAVhuBnhWVXnMTD3ZP0+1//biks/eZ5Hwd0zu3JH2P/vtZcvDVzzBLTi6qZd0k+3ecaZIO9k6XyuZDdrGJfENO677kV7xCftGdEejsHX0uXkYyz7I6UecnQZ0fH3WeOj8MdX5aqPOToM6Pb/vqPAD0Q6AH2+AMSVwUF6e0Y4p95vuJallYLtR5rBrqPFYNdR4AsDgI9KyofgkLp/sl3pnYz3nrWZJQcxMXPVc233jmGCOQDRLVsgYlLLxLNnbaxTAUdX4S1PllRJ2fBHV+GVHnJ0GdB4AoIdCDuYmt75CaunCo3/OwxN//mDTs/FmIalmz8QLZcb765+bPymfcGYEeufEPJXPNJ+Qzp+2MscyzrO1HnV9U1PlZoc4vKur8rFDnFxV1HsBqI9CD+VIXDpWL1L9fe1g2pjZMZx9RLWvqni/Jy89V/94hN934qDurx71y83V3yNbND4v4RpIY3TzLWhDU+QVEnZ8p6vwCos7PFHV+AVHnAaw2Aj2Yu9Qb42aYzvrRb045QWKvqJY1bWdf9QbZq/7dum6/ZK65Vx7x/dr0yOlPyAdee60dNvRfDkw0GMY8y1oU1PnFQ52fLer84qHOzxZ1fvFQ5wGsMgI92AZnyoF9Z6h/H5f0R59wZ83Mspc1aGQKPeXk03bJyVwobz+xX9bVo62br5V9F18uiZ3utO/iI3LMjCZxrZT7DRs6knmWtSio8+FR56OBOh8edT4aqPPhUedHV5Xs2pqsZbvCbdWsrKn5vbPVsmvZpQvOAZgeAj3YFrFXv1AKL1IP7nEku+XOm5WoljV1O14j5RPXSu6Kc82FSsv558rem45I/b0X2hlTMM+yFgR1fgFR52eKOr+AqPMzRZ1fQNR5ACtqranYxzOlo81zKmolufvXPpkxVZQZkWEe1rL3RbYsPbrEPOhfx+oP3W6fzZb+5WqeZVHnJ0Odnxx1fnLU+fGdc4NuJtBWz3/XPpqNROHZ9pFr5uVR5ycWtTrvifZ5nvslAJOjRQ8AAAAAAEBEEOgBAAAAAACICAI9AAAAAAAAETHXHD0AAACYkvyn7AOr8Cr7YEbmXR6wgqKYo2fe94HkOQLmHOjhQzc7JGOeXJSTCFI3JkPdmBx1Y3LUjclFrW5sdzLm5g2zDfRQNybHeWNy864bUQ30zLPOc88J0HULAAAAAAAgMgj0AAAAAAAARASBHgAAAAAAgIgg0AMAAAAAABARJGOOiLDJmBtFkXjePumjotaTso+DhEmA1/jkAxI/+j37rFfiRWfJwSt3SOp5dkYfYRLgTbOsYYniTt94qVz2ns/ZZ31ccZs8eP1l9kmw0ZIjPiqfufG/yk233yFbXt7N88+VvW/9bXn7Jc+3M/oLmxyRutEfdYO60Q91g7rRzzzqxnjJmMevG6MkY6Zu9Md5g7rRjykrzE5cMmGSMU+zznfvw0Yxqepc3T7rI1NRx3lQrZsi9SHIbpyUvbXSwHreqSHFZFzyUhCnlpOYnTtrA/ddIiOFgwckl/K2Znu2EcFo0YNtUf/a45J+52mp2uezNM+ypu70JySzc7/89nW+iy7tCw/IsSv3S+aae+2M6KBuhETdmCnqxnKhboRE3Zgp6sZyoW5guzSOH5XykLjTUqiXJZ+OS5aKvZAI9Kwo/UuJDnYHTdOLZZ8lldIF5leQzmldKhedof7+uBz65JPuohObZ1lXypHTT5hfJgKnIb80hHevfODiI7KlHq1fca0cPXG7+VVOT0dP7Je954ts3XytfOBud+lpoW5MgroxOerGZKgb00HdmBbqxiSoG5OLat2IqlnW+Yyqc01Vv/pM82rNM7aY5GpqO7elpUzwvnMqGfPX8qGiNMwjLBICPdgGz5DUG39anTLmYZ5lTdcjN94ix9S/6+86IuX3Xihn73Dna2fveI28/Yb9sq4eH/vQJ+QRd3YEUDfCoG7MGnVjuVA3wqBuzBp1Y7lQN9BHoyjJtTVJFhvSqGbN47W1pGTVc6M1Ty2T9Qc4qpK1r/Mvs5bMivdSt2vTmu0KVZa0b3m9bG/LGN867WvXkl6Z7efVqtpm/diU6dtWn/Z78Zapuq+foDlOLFUSE+upnxTHneWjtj3MNrWW6becep/ZZOcy1d51qZX5ylP7TO33oMVWCYEezN9jT0r1o446vc3BPMuaqkeldvsD6t9fliuv6tMvXl18vevEEal//DVytp219KgbIVA3Zo66sVyoGyFQN2aOurFcqBsY5uRh2UiXxe1hVZdyfkOKOqDSmqd7LuUl3h0oUa/zL2O6N8WTvmBPgNReEwgsH+taV/WYqjcJ2bdnQBueel7S6bzU2wWqbe3sTmXy7Pi3ySyTlmFpi8Z3Ug4n077uaQO2qWMbupezOX86+rmpZbq7i+ngXNxfnlpK7ff0sP0ecQR6VlR6zU1k1z11nV4m9Liks/eZxHId0zu3JH2P/vtZcvDVzzBLTm6eZd0k+3ecaZK99U6XyuZDdrGJfENO6z7yV7xCftGdEejsHX0uyiZA3ZgEdWNy1I3xUTeoG/1QN6gb/VA3lrNuRNUs67zbgqbdMsQ/9QYE6uWyrFccXxeluuTTeZGCO6/pFCShF9w6ZVvYuPTr6pmKOKZ7kyOVgl5Kvfawrtlu9yvHzHO7Q9VyOoiTkr1upKej/lePlUUS+2RQnMdoleet2x80qsphE9FJSMG+n6ZTEbvYRHSLnLSOYGb2dna3rJfV3i74tsltz9bepoYcP6q3Se0Dx13Gv09byzWOi14s4Xt/PcvoYNBGXu3hhNoN9v2pyano5bz9vpoI9GAbnCGJi+LilHZMsQ92P/MsC5OjbqAf6gb6oW6gH+oG+qFuYIhMRUp2NKmYbXEjiYJsmsCMEtsj+4KCJWoZp5SyeXRiksrV3O5NXUGcbik30iPtRj1VceM8e4bk5MlIpVWeKjF30N1Wj2kVpDdrsz06ViwluU0bqAolOEimW+SoNUvhQHfNVtvkyyUUy9n912LzDTVLEpeG6XpWzGYlGdcBm171rUNyuFiUaqOhVyY1Hczxcip5wSD1/rzjpcVSOdnU0awh+z3KCPSsqH4J8Kb7BdSZlM5561nmhJK46Lmy+cYzh5y0RjXPsgYlirtLNnbaxZYUdWMS1I3JUTeWEXVjEtSNyVE3lhF1A71mWeeDEwq7U028+I0nsTtuH/ms7/Idx5js0smrunUs44rv1jVhS06N0n0rTLctLbFbOrc0LqY4q3FKp1kPWE+/QNUIEgndIqd33w3bJsPmQorH46brWV63hLJ/aonl5KDeKXXdpSsvabXsmnqNzo3Uyr/jnDSvq+fdv/knNxfSkP0eYQR6MDex9R1SU1969Xselvj7H+to5jht8yxrNl4gO85X/9z8WfmMOyPQIzf+oWSu+YR85rSdsaSoG6OgbswKdWO5UDdGQd2YFerGcqFuYHF1dt8K3W1rLoKDZLVaSXyNaEZQlaxtvZPIZKRQqEil4ojTrHS1/FF7peR2w8r4AkU6N1I6nl3ZljphEejBfKkvvcpF6t+vPSwbsx5icp5lTd3zJXn5uerfO+SmGx91Z/W4V26+7g7ZuvlhEd8IGUuLuhESdWOmqBvLhboREnVjpqgby4W6gVnqytmjc8i4+WjWZdeQoEi7+1bYblvDxUyzo7ocPd4VarRdnrZF45TodkaZSlNqpZLkcilJpWISs/O76W5YJdPVqymOzi9kokG2m1t8t2k5p9fVHYhyp4AWRyuCQA/mLvXGuInW1o9+c+aR2HmWNW1nX/UG2av+3bpuv2SuuVce8f2K9sjpT8gHXnutHQ71Xw5MoLhMqBvhUDdmi7qxXKgb4VA3Zou6sVyoG5iZel42ilUb7GlItbjhjm7VnbA4qEtR6oBJkrx16FC4blth2C5hdTNqmC2wUbUJjLeX7qbW2gV6eHRvm7xgmR12PtnanyKxWFx2mX5gCTG962wXtHI62X5/mn6PZrj11W35sxCBHj28WnefOv+0MOPgN4qS1dtin85SQw/fZyqnnRZlH0zFmXJg3xnq38cl/dEn3FkzM4uyBo0IoKecfNouOZkL5e0n9ouOw2/dfK3su/hySex0p30XH5FjZpSMa6XcbzjUpUTdCIe6MVvUjeVC3QiHujFb1I3lsmx1Q90E6/uB7qG87Y1w72x9/7CMN7izrPPlAaNu6WlK+yuREMmnJW7WGZe0G+URnTC5U13ycR3E8N/gxWTPvoTUzZjjw1sAhZOSA2aILT1qmM1jE5/l0OohePmByt5+crepYxR1zQa+6q396dunrW5tMcm5iXza78+uzyxWODDlvF/LYyla9Ljj4G//yapx/GhvBZwFddKOp/M671Sb2Qe9Q/8tq9irXyiFF6kH9ziSDWqjN0XzLGvqdrxGyieuldwV55oLsJbzz5W9Nx2R+nsvtDOig7oREnVjpqgby4W6ERJ1Y6aoG8uFuoGZWD8otUrGdCfSEpmCVJxSR7DBjIxlF6ifdNqtWpTYnn3ua3taAI0vlquZIeK9bdKtYTI67419Nn8xyW1WOvLuqB1lhn93R7I/KY6ZqUfncqTQuaA73LpvVC9Jlcyw652LucOtu8PXr6a1pu68Ngc6stavKN2iJ55fl0qz80Pgakg1uyHpcl0She09WIO3c1oaUkzGJV9PqMruDYPnNvsz0UtVsVvDyfm4+9c+mTFVlBlNYB7WsvfNtSyd1X8e9K8S9Ydut89mS/8iR92YDHVjctSNyVE3Jhe1unHODbqpRVs9/137aDYShWfbR67mDa+yj2aDujE5zhuTm3fdmNOt2Vzp+5R51vnt2Ye61VVayn3u1ULTrbTSZZNzZpLVDOdu79Y2319jdpagRU9MUqWDwRFH3ZfP172pXxevhvrAdHSDWktKNqBpjFnOW0atq72IDr54Q7S5zf46mtl1bUdvNyv39bq5ZbubWvC2eomxEgUvyKOpfZDbNE3XehN8AQAAAACWmr6nPKSzMBfkwLSCPHYY87Vs0XcPqRtSpNVdrcj6dPqHYQEtfqCn0a6IHXSl7erL53bx6uzeZFrhpMud3aBEj8Uf7+zParpL+cbvV+vKh+kqpYND3X0K+3Wz2jokG16HyMRuiQd9rmI5qTWb/SOr67vazdQAAAAAAEtMt65Za+WpmcZoWy2tfDj5zjw3+uZ6mgElLJwFCvS4LWVarWK8KW4romTkYCv40bCZwt2+d7p5np70GPsJnYjpsBfB8Yazy0jF8Q2z5ujlVIlmTDZNrU9HT9Xcgl1O92PUASF3KDrdP1DNM01q1LrU391AjPs6U4J/O7yEVxv+yKmio00Fu5y/X2EIDZuxPbOXTyMAAAAARENczEBSis4/M92uVCHz3CB6mnMyqCinkDB/D54STVURm45d1nAKTVVVm4lCx1zDXVemWbHPPY7jNCuVQrOQyZjXmnWr9bp/7L8+v55129e11uNTybjb7q7SaRYS+nnvdoXhVDKd2xugc58xMTExMTExRX7Kf6pzClpmmtO8y2NiWsEpioLe5ywnAM3mArXocVvKqG0yk5cZPJHZJ5ulVGe00TlpWtHU874h1Ozk5tHZklNeUxrbLzGuWwal85Iv+7pndRm3j2JQK5vU3oCsQrq7ln0Yju625nY9003rnCEZubx9x8Tkn6gbTP0m6gZTv4m6sRxTt6Blpjl1C1qGaXUn6sR0pigKep+znAAscI6eWKpkhqar6/6Eya4uUKFVJRvXXbx0wCgjhUJFKhVHnGYlOLnzQtEJnHW3NXe0sVG7egEAAAAAgNWz2MmYUyU7ln5eNvyZjeO7TWsfPexcUBS32ayJm0LnlGzZ5WqlkuRyKUmlYhKz87tttZoBjaad66eteqwnffQIdEIud4h1nfuHIe8AAAAAAEAYCz/qVqrktr6p5w9LK5xis4eX00kp+scob1TdYcz10OV2lqYDMa2l9LB1JpGz4g1VbtdXz2+0R8pqFN3s5z2tiXzdwlpZzNOS9W2HHunLzWS+T/aMEaNxRxnTiaFrUmoNsQ4AAAAAADDYwgd6RFJywIxiVZZ0azz0mOQOuqNi5dO+PD3xtBmZKlE4oF6lF2sHYlrDyXUPhW741hf3lsubId0zB7u7TLnLJE1EyH2dW0R7O9w8QQkpbI7R3apRFDMAmH9bOqbOIBYAAAAAAIBnCQI9IrHcprixHt1yxp2nu3U1nYJ0jhTX3dUpJrnNStcyGSmoZdwuYSfFceea9XkJoF3uuvz5j2O5g6111U86bksfnUuoZzv0cO62+9iIGsePuq2NIqkh1WJWkqbVlZ2SyY7WUNOl8xzpMsbN8TRYNavW3aqQmMzy141Gtdi1/VmZ2eavlCjUjc7tT2Znc05aPdH6TnG7bav1870yBctfN8w1hrftvsn9oREAgCGaczLHolbSwu9fbyj6PpMeQn/67LD2iULn8PxT4A61r9Y9k+2eLr2dCy0KdaOSCdx2kUSzMO3KN0V6GxdaBOpG61zRM2Wai3z20Nu40CL2naJVMnb7R9j27uHOZ23e5Y0lEnXDri9o+xf4S0VvHwBgMSxFix4sO//oZxVxnHbibMe2hqr7W2sttIY75L3pnofJRaFuNKRo+lsmTGtBd/sdqairdNMF8zC/zo8nCnWjKofd/sRSaW2/blGq60ZZAvL4I5Qofae4Wrn9MKGI1I3GcTmq3kQmYNARBugAAIRBoAcz1ygeMvmO9DDxtVJKYr5rlFgsJ6XNgpvn6JBt8lzNmubJvRdi6gKuq9my6RLhNWlOZtvJtAfRCbn93ShCd7HR5esh7/XFl7pgtHMxvkjUDXtBnihsSq6VPD0mKa/LqZf0HSOJxnkjJSV9c1bLSTuvvqobB/aZbR93pMdVF53vFKtRlI18XX2vuINPYHyRqRvOSamrLd0dt88BABhVc07mWNRKWtz96zU/HtxNwXH8TZErTXWx29t83XSP8XWFCewu4+8qE9CUum+T7jBdbCrNgtomd7E+27iA9PtbTFGqG0FsGQtcR/T7W0xRrhuO2oRxXzs/+v0tpqjVDf+2jf69Mu+uVPMubzTRqRtul89Ms6DKba0joZ4Ped1209sJAFgMtOjBjDlyUrehzux1R0LrI+b/2U0tuVddeUn5mPh/ZKseK6vrI2/Iel93Gds0WyfT1l1ljh7v93OZes2GbtLtJtrWr3Ffp3/hC9PFJiU5/QuhfYZJRalu9GoUN8wogJm9g94dgkWxbqj1mF/2datA3c1vvIT9iFbdqGbTUk4UxFHfLZhUdOqGY95IWfLpslraqqvn8aDWRwAA9CLQg4WUcq+8fDksquJed+1xAy3+7jL2mi2mR2JTF1J9+6/7XlNq96NQr8vJZiHRc6GHxbQMdUM38Td5nDKVjpH7MFuLXTf0TWhCDw6pqBu9dDJc1w9MxULWDXWeMEG/zRw/IGyjxasbDTm1pf/VAWF/kEhvp3qp1+0MAIABCPRgMaX2mlwFZe/Kq3pMXYYlZJ/781rL+q4+F1lBTJ93dYuVj7f6y3uTm1x5S0iZsQQWum7YZN06kRO/0s/fQtcNna+nJrWaumlzdC6WuuQ3uGGbm0WrG42iJNV5wh88wDZZuPNGTHL6PKHOF+28b25wyW1IdFT6NiQCAMAi0IMZi8tu/Qv2kF82G8WsJLNFX5LCzubUnc2oEQ1Rqxu6a47ullNXN2+OScBLdR1XxM8bsZQc0L/qc8M2hmjUjcbxowGBgLSorVLbmFaPafE1uuhfb8TNGwQAYDgCPZixmOzZZ6685FDfq1Y9BHFZ6uWTevGWdnPqrmbUPiONWhPfLXpLMgHDlboTOTPmK0p1Q4/QEpd83c3H0Lc5P0KKSN3QrTb0DTxJNaaI7xT0E63zhn/EL4+bu2ddRmlcBABYUeoLZy7mWNRKWuz9a0e1UFNCXfX4B7xwnEIzY0bJUH8rdA8n4Y5ikUjo0Se6R6nwRtfwzdfr0uW0Rr3oHgXD95qKb2VOxc4fPFJHp9FHR9ku1A09a7Z1o7IEoygFoW7oWbOsG95rpZnxvdbxRvBplbF4qBt61mzPG71G/16Z9yhY8y5vdFE6byR85w2nWTEjcan5I9SPedPbBwBYDHM7I3Pyn62F37/qoiihL1D6TX0uXNwhRvUyARdFgcOd6hsq+/eeCy+lz2v01HvhN8joF+TbRb+3hbbsdWPY9o98szc/evsWWhTOG+q1we+h+2ZysehtXGiR+07RCPRMRUTOG0Gv47wBAAiLrluYj1hOak5FCpmEac7ckrBDj/ZJWhvbs89dPmi41FTJjELRXp+7roH5b/VIGU5B1Ga02W2gu802WfK64eXawAxE4byhXlvrem0ikZGKQ7eeifCdgn4ict7ofm0iUeC8AQAIbU1He+zjmdKJBudU1EqK7P6tZmUtXVYXRs3BF1Toi7qBfqgb6Ie6sRzW3nbCPnI1b7jYPpqNeZc3V5w3Jsa1PgAsDlr0YHE1qpI9pLMiFuQAF13wo26gH+oG+qFuoB/qBgAgYgj0YAGpC661NVmLp6VcV9ddAaNfYFVRN9APdQP9UDfQD3UDABBNBHqwgOKy2/ZLT2Qq5DmAD3UD/VA30A91A/1QNwAA0TTXHD0AAACYkvyn7AOr8Cr7YEbmXR6WDjl6EGTe94HUQ2COgR4AAABMD8mYASwDHeipP3S7fTZbiZ2XE+gBFLpuAQAAAAAARASBHgAAAAAAgIgg0AMAAAAAABARBHoAAAAAAAAigkAPAAAAAGABPCqfufEPJfPay01iZTO99nfkA3c/av8+iYZUi1lJJtdMgmgzJZOSrTbs3z0NKeplkkX1aDttz3Y0isn2/umeklkpduyvRdlX6EagBwAAAACwvU5/QjI798tvX3eHbH3BztO+8IAcu3K/ZK65184YQ6MoybW4pPNlqdftPE09KafjksxW7QwMVC9LXu0vdtfiI9ADAAAAANhG98oHLj4iW+rR+hXXytETt5sh2fV09MR+2Xu+yNbN18oH7naXHk1VsvG86PhOIlMRx2maIdj15DgFySR0/CK9gMGLmORqajtrOfVo3jJSsfvIPzmVjPlr+RAteBYdgR4AAAAAwLZ55MZb5Jj6d/1dR6T83gvl7B3ufO3sHa+Rt9+wX9bV42Mf+oQ84s4OrVE8JGX1b6LgSK2UkpgvahKL5aS0WZCEejw0eNGoStbX7SuZzEpPry+lUe3qHraWlGwxuLtTtVr0Ldt/OXdu2Ne5zHZ0bEPVff0EEa1YqiQm1lM/KY47y8e/fwZsU2uZfsup95n1dx9TywTv6FDHY1UR6AEAAAAAbJNHpXb7A+rfX5Yrr3q+O6vbjtfIu04ckfrHXyNn21nhNOT4Ud2WJyMHc33axcRysuk4g1vO6K5f8bSUfd2+6vWypONJ8ccpdH6beLqre5jUpZwP6O5Uz0s6nfct22e5biFe19oO+9xdJi35ju2appNyOOnfPwO2qWMbupfTway45P07Wi/T3V0s5PFYZQR6AAAAAADb5BtyWufkueIV8ovujEBn7+gTBBrIkZM6GJDZKyl3RqCYv5lPj4YUN3TXr4RkKo6vG5NuCVSX/GEvAtEOKlV83cOajm0xdMwfqbB0VzJvfQW9VJ/lug18XVUOm4hOQgre9joVsYtNRLfISevmUd37s16WshR822S7eLW2KeS+aRwXvZjpYtdvmdDHY7UR6AEAAAAAIIgXfChsSinVDgjFUjnZ1NGT8jFxQws2p06zJHFpmO5VxWxWkjY/UK+MVHRXMvssljuo5oQx5HXVY7ar2qbkvO2NpSRnu6iFU5Z0q+tUe9ItckwA6UB32Extk69FVCy3t+u9jLZv6luH5HCxKNVGQ69MajqYo96zEfp4rDYCPQAAAAAABHFOmmBEPR/vDXyYljNbcsrrLmRG91Lz43HTvSpf9nef6pLYLXH70BWX3WEiMUNe1zilU1onZN+edhDEiO2RfeEjPYESCd0ipyY9veDCvJcw+yaWk4MmB5Du0pWXtFpW7+dkVgd93EVGOh4rjEAPAAAAAGCbvEB2nK/+ufmz8hl3RqBHbvxDyVzzCfnMaTsjFBtwGNLKo1HMdgYTxuIf3SsjhUJFKhVHnGYlZEudRZIJHHWrViuJrxHNCMLvm1TJ7YalR0Pz1Ms66JOlpc4ICPQAAAAAALbJ8yV5+bnq3zvkphsfdWf1uFduvu4O2br5YRHfiFzDxWSPacZSlkN9s/TqnDZlqZdP6sV7xXebLk+ZSm/gw51sC5fGKTM8vF6uVipJLpeSVComMTt/XmK79PhkdTl6vOv92i5P22LEfaO7YZVMV6+mODq/kIkGlcWk6Ql7PFYcgR4AAAAAwLY5+6o3yF7179Z1+yVzzb3yiK/VziOnPyEfeO21dvj1fzkwYXMQL4eN7uqTzFZFp33xNBpFyerRotTjROFAcMJm2+WpnE5K0d/kp2GHK1/rbGmikwa3ltJDgJvEwcrWqfb8WUq5+XHq+Y329upt9bZjGw3dN9Ws6YKVLLaXi8Xisss0y0rIbt0/bMTjsaoI9AAAAAAAttGF8vYT+0W3Rdm6+VrZd/HlktjpTvsuPiLHzKhc10q53/DrA6WkZEduqpfTEo/7crrE8+4Q3ZmK1Po2A4lJzk0cI/m0Ly9M3B2uvBUg8nLg6DJ8y3SMFD4XKTlghtjyba/d1m0Tdt+kDpjRwep533JrcUmbHb1P3LRDIY/HiiPQAwAAAADYXjteI+UT10ruinNNwKfl/HNl701HpP7eC+2MMeiRm0wXoIQJ+LQk7BDd3ohO/aRKZphvf94Y77XtAFFMcpuVrmUyZojziolLnBTHnTtzsVxNHFVoe1P0tqrtt8/mL+y+0aNzOeY4taljpodb943qFe54rLa1pu7IBgAAgKWy9rYT9pGrecPF9tFszLs8ANGgW1vUH7rdPpst3QKI29t+qpJdS8tWgWDIKqBFDwAAAAAAUWCHMV/LFn05gRpSzbq5iNZ3EeRZBQR6AAAAAACIglY+nHxnnhs347QcIIHNSiDQAwAAAABAJITMc4NII0dPROhILQAAWCH5T9kHVuFV9sGMzLs8YAVF8dZs3vcp3N4CBHoiQ59A53UoKWtylDU5ypocZU2OsiZHWeOLejJm6sbkKGtyUS0LQLTRdQsAAAAAACAiCPQAAAAAAABEBIEeAAAAAACAiCDQAwAAAAAAEBFLH+hpFJOytpaVqn3eqyrZtTVJFhv2Ofyq2TVZy/bfe5NqVIuSTKoy1DEwU1IdqxkdikY121FWMluU+Rx1t47Naj+aY+TtP980kzrdqEoxqz9TtpxkUrLTPmANVSd876N3SsrU35oqMzu3ethZ1izq4cDPrTqGHeVP+F7DniOmcS4ZtI5pn0sGlzXdc0n4fTP5uWRQWeZv3v7zTeOeSwa+rymfSwLLmtG5ZPD7mu65ZFBZ0ziXhP7cTOG8Mc5ndOC+HiBsWdM4b4Qva/LzxnjbO955I2xZ5hh5y/imUc4bod/XFM4bQ8ua4nkj/Pua3zUIALQ0l5xTSDRFMs2Kfd6r0syot5koOPZ5NI1zKN19J03J9N97QUKXVcm46++ZEs2wh0MvH0brvfRMg+pGJ738OCoZW9YI+zF8WU6zkPC/n/YUtk7rZcNxPyvd5egp7FvTyw7lFJqJrvV3TuHqh142lL7lTb8e9q/z06uHgz+3/Y5hcPn6b4OEPUeEWW6iskY8l+i/DTKorNbfeqbZ7kNt2LlksrJGO5fo+YMMLmu0c4meP0jfssY4l+j5gwx8XyOeS/TfBhlYVshzieQ/1TF1CP25CX/e6FveGN/3g+uQS/+9R9iypnHeCLmO1nvpmUY4b4yxD7Wxzhuhy5rCeSN0WVM4b4Qpa1rnjbDva8rnDQAIa+nPJu6Xa/AXqcv94iDQ4+eo7yffRcmAi6wg4cryLg7UF1ml9e3arIS4sPMLV5a9OEgUmq2ifO8x7NsLV1anjou7EfZj6LLsBcKIh6hD2LK8i8WEKqy9GwutfRvmExT6fQWxF03TDmB57ysTUA+nW5Z3kZrwlaVKq9iLvInr/PDPrVcfEwXvGA5+r5OU5Qq73CRljX4uGb+s0c8l45fVKcy5ZKKyRjyXTFLWqOeSScoKNOBcMklZo55Lxi8r/Lmkb+BFlRH2czPKeSO4vFE/o8Pef5v+e6ewZU3jvBF2HdM4b4y+vdp4540Rypr4vBG+rMnPG+Ptw5aRzhujv6/JzxsAMJqlP5u4X3JjBHocNd+cpO2UUOvoWMSexHu+XOz81km8/bz9heutS/3NfzGjvhD8F23TpNcfjv8C0n6BDvvy6xKqLHtx0Psl1m+/Bgv/vgL03YZgI5fVugCy+3SE/Ri6LHPhoS4kJqg24cpqX6hOUkPHP16jlx+2LHOR1bPe0Y5ZqLIG1Lfh56m24LLCfG6HnLMC9u34ZWlhl3ONXdYY55LJ3leAAcd2KmWFPJdMVNaI55Lxy7LLTPxZHnEftgwuf5KyRj2XjF3WCOeS4MCLEvpzM9p5I7C8kT6jox3Xnn0YtqyRtsk1dln99H39lMqyrxn5vDFKWZOeN0KXZd/DsH3qM93jNbj8ScqaznkDAEa3msmYdT/qeFrKdftcq5clHZ8gN8jWIdnI2xUmdks81pBiMi75zkKknI7LGN3Rp2p3piJOsyal1C47ZwZiOamp76taLmZndFnfJX3+MiUNqR7Oqz2ekH17ZlFSVbJxtX61L0spO2sGGqe21P/XRRxVZ319u8eup/1Uj0lZ/ZM5mJvxcQlWzarPozpWhc3plx/frS7H6nk57OsQ3ygeMu83sTvuzpiLLTk1wXEb/rl15KQ+3fR8tmKyS1UhqZ9US4QT9hwxjXPJ0HVM8Vwy3vaOdy4JX9bk55IwZU3rXDK0rCmeS8Y5XuOeS8KUNa1zyTjvq1OIc0noz80UzhsjfkYnev9hy5rGeWOidYx43hi5rAnOGyOUNfF5I2xZ0zhvTHC8Rj5vjFDW4lyDAFg5NuCztDqarQ6Y2lF3G21X8zqaRHvraUXd+/0CYOe3ovDt9XVE9r1ov1quNdfOG/Tr1bh0+aMb/CtQP+OV5fL2c9giRy+rfTzMr1AjvLVRyur8hWb0/Ri2LK/Jb9A01X3Y+tVONynOuPVUTwn9q2vnJ2CQUGV1G/NzEb4s9Z46Wta5k/5shhWuLFsPTL1r77NWd4uQv4oOL6tPfev7C6P+k37/veWPXVaP4ctNryzXoHPJdMoKdy6ZtKxRziWTlDXquUTPH6xPWWOcS8Yuq1uIc8lkZY12Lhm/LDs/xLkksIXNAD2fmxHPG6OUN/z7fvhxHb4PXcPLck123nANLmta5w1Xv7Kme95wBZU1/fOGq6esmZw3XIOPlzKV84YruKxpnzcAIJzVa9HTOC5H9a9X5leQdiQ+lquJ+kITqR+V4yP+wunKyMGAyH5965AcLhal2lArtb8ANGfZBGSB6REp4rrV0zi/QIWmf51MqGsD/bgu+fQMRnBS7yNdnk3rk04NMT+m6V+ZKo7+5jeTYyqqSPnQ9EZzcn+1Ezm6EZd0vqz2nFV3W6HNctQ671fPwoEZVYqGI8e2Wu+opb51amr7z5WSA+oK36138dboGvG0fn+YJs4lo+JcMhVLfi6Zz+fGtYhlTWObhq9jeueNvmWp+dM+bwSXNZvzRlBZszpvhDnm0zpv9C1rbucNAOgUkUBPRir2C6h3qqi/9srs7T2hp/YGLRmS7q5lHxqxnBzUq9NfUvm8pOPuxZoebnP1hlRsqOuSpLpILav9VBCn37ftVKSk1KxJraaOvaOPvbrQ2pjeTYwZllO9j0RhU/q12J2emOT0+1DvJ+cPSqZKEwYl+6mr/9RnyWl/fvQFnbndyB+W2fQ4rMoxt732jPZnQ4obuptm74Vqop6X+JT7UeqAsbfPXAl1zeeIY27aMDnOJePhXDK5ZT6XzPNzs4hlTWObwq5jGueNAWVN/bwx6H1N+7wxbB9O87wR9nhN47wxqKz5njcAwG81c/TMSaqkT+YFyfiuy+plHfTJzuhCdxG5uYrS5br6/lNfcrVZ/3LtE7O/ik7xJqZx/Ki6ENEXHe1fWdfWdN9upZxWj2fwq38A0+d7imImGYO6ENksie96zlzQbZobi8nyy/Tl9csPCLxOhW3BZy6Kuy5UTSC2fGzqn0W9btNyz0w6D0VMHDcJhuyaZeWP7dKZFALNpfyZ41wyC5xLQlrac8mQz81Uzxvz/IyGLWsa2zTmOsY6bwwua7rnjfH3zejnjcFlTfe8McL7mvi8MaSsbThvAIBnZQM95WO9p9aqCet7+iUitIkLQ4qlclIyv4g0xXEqUtAndvW1ElB8BFUluxaXfN39JbJv0rpJ6V+49MVO1H4Zse8rqMny1G/c47vVJVZdTobN1jsl7mcuI7O6NxvEvVCd0U1nB/uLYXerv6mLi8n5ePS4uvT0s83vZ17+LHEumQjnkpla3HNJmM/NtM4bc/qMGmHLmsY2hVjH1M4bC7YPp3beCFHW1M4bo+3Dyc4bkx2v+Z03AKys5pJzE5+NMrx6O1GeOjHbee0EauJLvlyxSegyAa9VZ/XOed1Jm01iOV2uLxmzelQx5XQmN5wGXdbohidCDBK2LHf/TfZew5XV55jaY9BzbPoYbx9qo+/H0d6XPxmhV4fClzdqWYWufaguRWa0D/t8dkIKV5Y9NnN5X94+VOcjb6VOpVU32+egwYaX1b++eees9nmnnQQyqPxJyuo0fLnJ31f4c8n4ZY1+LpnePtQGLzv5+wp/LplGWWE/c5Pvw/DnkvHLsvPn8r7Cn0sGJUcO+7kZ5bzRr7zxvu+HHdfgfTja+wq/TeOXNZ3zxnj7UBu8Hyd/X5OdN0Yta5LP12j7cLLzRriyZnHeAIBwlv5sMnqgR/FOsD1T1wnb+5L2T4lMM6O/GFpfcP2+KNpf/L3rGP6lMiq93tENv8gKEqosbxSDvtOgY9amlw0l7DEdIHRZPUbfj6HLCqqDZprB+xpwzMK+Nb1seOPVP0/osvruw+m/r1bAuHsa4TOvlx9s0H6zf+uZgj9vk5XlN3y5scsa41yi5w82YHtHPJdMVFaPwctOVNaI5xL9t8EGlDXiuUTPH2zYPgy/jycqa8RziZ4/WP+ywp5L+gVeRvvc2O0YuIwrsLyxv++HHzf9+g5hy5rGeWOUdUx63hh7H2qD96N+fYcR31fwMjN4XwOWDfX5GnkfDq9/Hv36DlPZh+OeNwAgnNXsuqX7vTuduXMkoRPA1TqTsanlnEI7GWIiUxCndkB22+eD6SR2jhQ6C1HrqKh1hO8Hvay8fuRzE3BME0HHdNmo96UuKLreV2E270uPCqeTR7rDhbjUPlQXc31Hq5hI45S4PQNm3KFIf467cmXN6n0FJVCd72c+JSVzDO1TzXwOSuovy4lzyZRwLpncEp1LRvvcTHbemOdnNGxZ09imkdYx4XljEfehMeF5Y6SyJjxvjLwPJzhvjLoP53XeAAC/NR3tsY+xxHRCvnkdSsqaHGVNjrImR1mTo6zJUdb41t52wj5yNW+42D6ajbmXR92YGGVNLqplAYg2Rt0CAAAAAACICAI9AAAAAAAAEUGgBwAAAAAAICLI0RMRuk8vAABYIflP2QdW4VX2wYzMuzxgBXFrBmAaCPQAAAAsoagnYwYAAOOh6xYAAAAAAEBEEOgBAAAAAACICAI9AAAAAAAAEUGgBwAAAAAAICII9AAAAAAAAEQEgR4AAAAAAICIINADAAAAAAAQEQR6AAAAAAAAIoJADwAAAAAAQESsNRX7GAAAAEti7W0n7KPt0bzhYvsIAAAsElr0AAAAYGRbj35Pbrn/Mbn34e/It7//lJ0LAAC2Gy16AAAAltB2t+j5zvt+SeL/4XPyze/8rXl+1hk/KrGzniXrzz9DXnzWM81jb3r2M37ELAMAAGaPQA8AAMASWoSuW3/82Udl/62n7Jz+/ttVL5G9Lz3LPgMAALNEoAcAAABjeeqHTTnvg/eZblz9vO7nf1I+9qbd9hkAAJg1cvQAAABgLE9/2poc/pUX2We9zn7OM+SPfjVunwEAgHkg0AMAAICx/fK5z5VLd/0j+6yTTtJ8+1f+2j4DAADzQNctAAAATOSL3/iu/MLvf8F05Qqi8/Mcef0uk7AZAADMFi16AAAAMJGXveDZ8sYL/7F9JmakrXOf9w/tM5FjX35cfu76z9O6BwCAOSDQAwAAgIldf/kL5ZlPf5rJ2/MnbzxX7j9wgfy7i15g/yry+Pf+Tv75H2+ZUbq+++Tf27kAAGDa6LoFAACAqbj2jofcf395p/lXu+vU/5Er//RBeeTbT9o5Ijuf+0z5k18/V37pRT9u5wAAgGkh0AMAAICp0C11nvmjbqseP52U+c0fc+SW+x+zc9wRu/IXn21aAnUvDwAAxkegBwAAAHNx25f+ynTd0oEfj87vc9OvnWP+BQAAkyPQAwAAgLnRXbh0sOeOB75l54jJ7fN76Z2mhQ+tewAAmAyBHgAAAMzdH97zDbn6+Nc7EjO/KvYc07pH5/ABAADjIdADAACAbfHAY38jV978oHz29BN2jsizn/Ej8qHXxuRNL/8pOwcAAIyCQA8AAAC2zVM/bMqhO0/Lf/gff2kee/a+9Cw58vpdctYZP2rnAACAMAj0AAAAYNvd+/B35F999AHTysejgzy6K9flL/kJOwcAAAxDoAcAAAAL4QdP/VAO/NnXTP4ev994xfPlhr0vNt26AADAYAR6AAAAsFA+1fi2/Kv/8oAZocujEzT/ya+fK7/0oh+3cwAAQBACPQAAAFg43/7+U/LWjzfko/f+bztHzNDregj26y9/IcOwAwDQB4EeAAAALKzbvvRX8uaPOfL49/7OzhF52QuebXL36H8BAEAnAj0AAABYaLoL15tvc+T2r/y1nSPyzKc/TX4vvdO08KF1DwAAbQR6AAAAsBR0kuarj39dvvvk39s5Iq+KPce07tE5fAAAAIEeAAAALJHG4983w7B/9vQTdo6Y0bg+9NqYvOnlP2XnAACwugj0AAAAYKk89cOmvO+uv5T3/Plp89jzup//SfmjX43LWWf8qJ0DAMDqIdADAACApfTFb3xXfu0//4U88Njf2DkiP/Vj/0COvH6XXP6Sn7BzAABYLQR6AAAAsLR+8NQP5erbvy6FE4/YOa5/k/hpOfwrLzLdugAAWCUEegAAALD0PtX4tvyr//KAGaHLoxM0/+m//jl5xY4z7RwAAKKPQA8AAAAi4dvff0re+vGGfPTe/23niBl6/Xcu+RkzFDvDsAMAVgGBHgAAAETKbV/6K3nzxxx5/Ht/Z+eIvOwFz5Y/+fVzZf35Z9g5AABEE4EeAAAARM43v/O3sv/WU3L7V/7azhF55tOfZlr26BY+AABEFYEeAAAARNZ/qv8vOfBnX5PvPvn3do7Iq2LPkZt+7RyTwwcAgKgh0AMAAIBIe+hbPzDDsH/29BN2jshznvV0uWHvi+VNL/8pOwcAgGgg0AMAAIDIe+qHTfng3Q/LOysPmcee1/38T8of/WpczjrjR+0cAACWG4EeAAAArIwvfuO7Zhj2rUe/Z+eI/NSP/QM58vpdcvlLfsLOAQBgeRHoAQAAwEr5wVM/NC17dAsfv3+T+Gk5/Csvkmc/40fsHAAAlg+BHgAAAKykTzW+LVf+6YMmh49HJ2j+03/9c/KKHWfaOQAALBcCPQAAAFhZ3/7+U/K2Y1+Vj3zum3aOyNOftmaGYNdDsevHAAAsEwI9AAAAWHm3femv5M0fc+Tx7/2dnSPyshc8W/7k18+V9eefYecAALD4CPQAAAAAyje/87ey/9ZTcvtX/trOEXnm059mWvboFj4AACyDp9l/AQAAgJWmR9/677+xboZb9xIy68TNB/7sa3LJf/xSRy6f0TWkWsxKMrkma2t2SiYlW23Yv3saUtTLJIvq0XZalO0Issjbhv7scctW7XMAs0KgBwAAAPDRo299+e0Xyi+96MftHDdx83kfvK8jl09ojaIk1+KSzpelXrfzNPWknI5LkhtfAMAUEegBAAAAuujRt+7+tz9vhlv3EjLrxM16lK5f/cjJjlw+g1UlG8+Lju8kMhVxnKbozAl6cpyCZBIi9XJaFi/WE5NcTW1nLaceAQCWCYEeAAAAIIA3+tbnf+t8k5jZoxM3v/T993bk8umnUTwkZfVvouBIrZSSmC9qEovlpLRZkIR6XD40pBtSoypZX7evZDIrPb2+lEa1q3vYWlKyRf+C7W5P1WrRt2z/5dy5YV/nMtvRsQ3VEN121HtUyyf1+vyvV+81oAjLv18GbEtrmX7LqfeXTXYuE7yDQx2HQF2v1e+r7zH0LRP03gcv033sPHZ+6xi0nzeK3nvX29RvvveyEeqiXabfewUwIzoZMwAAAID+vv93f9/8nU98tfn03zrRlPynWtNf/O/v2SWCOM1CQpoimWbFzgniOI59pNnXJArqkeUUmgl12a4v3TunRLPge6lTSAQs406Z1gZ42xQ89SzX2o6wrxu8HeJfsEelmVHLJDKZgPfrf6/etmWamYBtCrstYfZJx+aGPA6BKkHvKeC1arnJl+k+dh47v/WmvOUS7W0zr+k3X79kgrroHa+BdQDANNCiBwAAABhCj76lu3H9jzf/E9OtS9Otfc593j80j4M5clL32crslZQ7I1DM38ynR0OKG7rrV0LdHzvtbl8V3RKoLvnD7dYZx4+awqTi6x6m7rjdFkPHAlrS6K5k3vrUnb0WuFy3ga+ryuG86agmBW97nYrYxUKpl8tSb5XhSMW82P9erXpZylLwbUvGzG5vS8h90jguejHTta7fMqGPQxD12kPqPalHHa/13teGr9WUWs7sO7u9TkW/p7ocPd5qThNimRHpxFEFu13+rno988Pugz51QB2tsp4NYPbUBw8AAABASN/5wVPNd/z3r5lWPoO5LVTUXbF9HkZXawzbgiLR0aTD5baa6G0tpFsIVSqFZsHfMqa7FUfP67q3tWs7wr7Otjbp2V6vJcjAfWHX1dMSRa/WX3bY99A2cJ9425ZINDOFQrPS0cLKGuM4tAx47+77sq1hBpTREmaZnmPnsfNb29FvP/aZH3Yf9FtuwH4AMF206AEAAABGoIdev/7yF5pWPjPnnBTdCKKej7dyonhT3LSa2JJTrcYeenQvNT8el3Q6L3ndMsb+qUdit8TtQ1dcdqu78KGGvK5xakv9PyH79nS1UortkX1h1q+t7+pJAB03hfjeqxbmPYTZJ7GcHMyof/UoaPm8pNWyev8ms8V2XplRjkMfmb297bpSe3XBndZ3DWrh5QqzTGg9+9Hqnh92H9jlerZxlDoAYCIEegAAAICZsIGH8jEZ2LGnmO0MKoyl6hvdKyOFQkUqFUecZkV6QwmrIvw+SZXcLkh6FDRPvayDPtmBxw4AFhGBHgAAAGAmYrLHNGEoy6G+w0bpfCZlqZdP6sV7xXeLXkOm4uZD6Z1qktOva5wS3ZZGL1crlSSXS0kqFZOYnT8vsV3r6v8B+WJsHpxQtk7ZnDUeL9fOuozUkGXEfRJL5aSkh5RX+9XROWVMNKgsJk1P2OMwQFD+o+oxnW+n09awpkHK4GVi4h6Gk+K4MyybM2pcYfeBXa53GycsH0BoBHoAAACAGYnlDprWI7q7S1IPV+279200ipJNpu3w6weCEzbb7i7ldFKK/iY/DTtcuR722s7SdDChtZQeBnvDbdHSGzyZkdRe+3432turt9XbjjDqedkoeu+jIdXihpieQUOSWvczdJ9Us6b7UbJVptrtsbjsMs2xErJb918a8Th08LosldMdQ7brocvT5uDvE9PTzS5n9p23mK4junuUN1R6mGVaynKsvZDaTreujS3sPojtEhNnUtvYfr9TKB9AeE0AAAAAs+Mloe03ZfzJaQMS6QYOp+1O7YS3XgLdPlN3UuWwiXpHfp2aM2BI88732s1Lxuwb1rs1+RMDj/geetZlp+73NnAZJdRx6EO9NrgOhBk6vWuY93GX6RnefMh+7JmvhN0HocoHMCu06AEAAABmKZaTmukKlDBdWloSdpjq0pB2KqmSGe7bnz/Ge22t1V8oJrnNStcyGTO8tTv6dnc3ntmJ5WpmyO/2puhtVdtvnw21flBqvtcnMgWpOKUxWvOE3SdquZpjjk+bOlZ6uHX/cOOhjkMf6rW1ntfqYd+7unyp5Xr3nSMdVSTsMoXOfejUDshu+3xsYfeB2Ubfcvq9TqN8AKGs6WiPfQwAAAAAM1CV7FpatgqDgiLuMuVMZXjwCwDQFy16AAAAAEyHHc58LevPF9OQatbNzzLVYcEBAIEI9AAAAACYjlbi4bzEdcDHTHGbdLggB2ioAwAzR6AHAAAAwJSEzHcDAJgZcvQAAAAAAABEBC16AAAAAAAAIoJADwAAAAAAQEQQ6AEAAAAAAIgIAj0AAAAAAAARQaAHAAAAAAAgIgj0AAAAACujIcXkmqwli+rRPASU1yhKNpmVqn26Wqa7/6vZpKytqfXpKVud0zEFsOgI9AAAAACYm8bxo1Ku2ycYXzUr6a4dGbP/AlhtBHoAAACAlRGTXK0pzVqOoEBEZCrqeDbVVErZOQBWHYEeAAAAIDIaUvR351lLSrbq79DT1XWoUZSkWi5ZbEijmjWPzWvUc6M1Ty2T9Xc36tcFyc7PBnXMcv8Wz+tWKGVJ23I9pnz9Wltex3YY7TKrVbXdrWW7l7MaVcn61pfU3cUCFutebq1nuVHeq5o3cP93Ue9ZL9e7u9Q2qfn+/eNXzap1p8vmcTmty/F1hQv7fnRXr6K3rX32DYClRKAHAAAAiAR9Ax+XfEd3nrqU0/GAQEKXk4dlI11WS2vqNfkNKepgSmuemlvOS3zoisajAw5xXVZHTyS9HQHbXs9LOp33LRuwnA5gxdMdXcTq9bKk40npiJ3o4FLXcuqN9i4Xyhj7P7VXMuqf8rGuBarHpCwJ2bdnxHZXo7yfrUOyYYJuSmK3xGniBUQGgR4AAAAgChrH5ai6b09kKuLorjx6cgqSUH/qCSR0qZfLsl5xzGucig491CWfzosU3HneemTrlIzf8MPtNuYU9JoyUlHrreV0dKEhx/WG63mO3e5h2+57j+76/Ms1pLiRV+8goRaz26+Xq+j1qfd12LfcITeQ1bGcWZ9abmPEhMlj7f+U7HUjPR3JqavHympF+6RfnCdVUus2x8nrulVSaxrx/ehImXd86coHRAqBHgAAACBC6luH5HCxKNWGuq2P5aSmb+SH5W/JVKSUcm/1Y7aViSQKsmkCMUpsj+xz4ykzYPMGNUsSl4bpllXM6pYpOlgTJCMV9X68wEQsd9DdXo8XcClstt6TFkvlZFMHPbygil3O/961WK4mbqzrqBwfI6o16v5PuZEeaceCquLGefaMFnwZ+f1k5KB3fAFECoEeAAAAIApiOTlobuh1V6a8pONxk39F59YZln8lsTtuH/ms7/IFGmKya90+nAWbKyiutll3y8qX213GeuhuRvahKy67/UEo56R5bT3vvn//5OYH2pJTvv2R2dsbhHGDLyMad/93d98at9uWFfr99OxHAFFBoAcAAACICN2lR3dRyvgCHzq3TjruS9a7cKqSta13EpmMFAoVqVQccZqVzpY6S2C8/d/ZfWtYty0AGIZADwAAABAhuotSyXSFaorjVKRgoiX+rkHTYFv41E+K486wHDnZtylOH41TsqX+0blmaqWS5HIpSaViErPzRxbfbfLitIYd75lq4u+xFJQ/xwRbWkZ7r+Ps/3b3rTG7bfkMfz8Aoo5ADwAAABAFdqjuZLHaSrobi8Vll+nXlJCg3lmTK8ux1nBOetSptJoTRmf3KU0HKFqz9BDhJqGyMmoCaJtPqJxOStHfZ0qt0wwr7g1F7uUdKqfFPwS6HgHMjFze06pmyHudZP+nDohOH7R16JBa55jdtkZ+PwCiikAPAAAAEAU2WFDPpyVuc9KsrcUlrfPSzOAm38v7ooc298rKS6aj21J/dcnHdVCk0RGgaG139xDhI4lJzk2WI/m0L0+PWqfZFYUD4maxcZdzi24v5+bxSUhhsz0SVaj3OtH+j8ketRPqZsz4ddk11rEK/34ARBuBHgAAACAS9OhVjhQ6og8Jd7jvWQyfnSqJU3ADC1oiU1DlHJDd9nk/ZpQs+6L6SUcaers3K51Bk0RGChXHjhbV3WUqBLVtemjzznW6w627Q7pbarlaz3J6mPfO7l3h3utk+z+2Z5+7/sxeG4gaQ9j3AyDS1pq68ygAAAAAYPvorl/pssktNGw0fAAYhBY9AAAAALCddE6iQ2WRREEOEOQBMCECPQAAAACwLaqS1bl0bE6iSUbbmqanftiUd1Yfkse/93d2DoBlQqAHAAAAALZFXMygXIrO5dORP2gbFU48IofuPC0/d/3n5SOf+6adC2BZzC1Hj874jtmaV7oljiUARB8p/ABgNX37+0/Jz7zns/LdJ//ezhF5Vew58ke/Gpdzn/cP7RwAi2yugZ4HTz9hn2HaztlxJhflAAAAACZ2xwPfkjd/zJGHvvUDO0fkmU9/mvzuq39G3nHpz5rHABYXgZ6IINADAAAAYFp+8NQP5T13nJYP3v2wydnj0a16dOse3coHwGIi0BMRBHoAAAAATNsXv/Fd07rns133cm96+U/JDXtfLM951tPtHACLgkBPRBDoAQAAADALukXPf6r9LzMSl87h4znrjB81wZ43XviP7RwAi4BAT0QQ6AEAAAAwS498+0l527Gvym1f+is7x3Xprn9kunPFznqWnQNgO5FFC0BkVLNrJqjcb0oms1Jt2IUXQkMa1ay7XXbOXDWKkjT7JinFbdgvHK9w3DJ9+yaZlOxi7RgAq0R9d2Q7zoMNKepzVLKoHs1WNZtsnwuzejumWG7P++pjG9//Ijj7Oc+Qj71pt/z331iXnc99pp0rctep/yMvff+9Zkh2fz4fANuDQA+AlVGvlyUd356gRpBGcUPi6bLaLjtjnhpVyW7kZTuKDovjpctM9papnpTTcUkuyo4BsFIax49KeTu+PKpZSXcVvNv+Ow1h39e2vf8Fc/lLfkK+/PYL5Xcu+Rl5+tPWzDydvFl37dIBn//5tf9r5gHYHgR6AKyYuuQPb0v7mQVhW6XE00tyobrKx6sqh/P2IGUq4jSb0mw6Usi4s+r5w3NtWQQAiyBT0edCNZVykqupf2s5idm/bY/YgmzH/D37GT8ih3/lRfL53zpfLvyZH7NzRR547G/kog99Ufbfeqojnw+A+SHQAyB6EgV7U+ybnIoUEvbvW6c6m1c3qlL0NwdfS0q2WA1sgt0oZm13J/+yAUvqFjPJ7nV6y7nNvOPeTbyUJa2X6Wj23TBN1P1lJbPFrq5Mqgzvb2p7TdNx87x/l6dWqxT7fCFwvIKPV+OUbCXcnZDZm7I3EOqGYq+N9MiWnAp6HQDMhP9c6J4He1sW6nOpd24bdL71llHrCNFN13T1Vd9dWjmtX6e7TnV3mbLPs+ovRe987q1b/a37e6NVaJj3pfVbrms7bLdo/Tfzw4pXnrfO1jy1jPqe6ClpjP2z3V72gmfLZ/LnmaTMOvjj+ePPPio/d/3n5Zb7H7NzAMwLgR4AK+Ok/beDviCLpyXf0bylLuV8WuJd/e1NN5p8d5BEL9vVjcaus9zZ38Yspy9Ah9MBgbhpot6xhnK+b1emutreVhwisVviQ35WTOgWIhUvYLCYVv54xXJSq9VM4KuUsvOUxqkt+wgAFslJOZz0txZ1z6Mdp9HW+dY+V6beTXfrkGx4J1hzftWBmHjv90a6a9um7eRh2Wj9sKL3xYYUq+r9+35s0d8Tcf9GzGP/zIjuvpW/+Gz5i3f8gux96Vl2rsg3v/O38mv/+S8kVfqyPPStH9i5AGaNQA+A6KmrCyf7S1hr8l04Jfbtsa0j1MWfl6cmUZCK47UmKYhpR6HWs9G6smp3o8kUHNvypCIZ2+qkftJxHwSu02m3TikfUhdrbjNvpzUzIxW9Ptvsu5pV22rmJ6RQsWU5qiwzry75jYBfAPWydvudTe/9BVmXjFpnreS1EFkAHK8RjoWvO1din+xZmIMIIPr850L3PFjL+U5C9bI6F7ZbaDq2n2n5mBfI8M63CfM95J6X1XIVfQ4f3E03VVLL2h8n3K5bJfHFvzvpoL133tfn6cZxOapmmR84bJne94a7bUPeV0vY5Vz1clnW7ft0f1hR7zGdb2+b993VarU6/v5ZJDpZ83+76iVm0o89dzzwLdO6532f/EuSNQNzQKAHwGpRN/Ob3oWZvfjTMgdzkvKu12I52bQ39fWjx+0FWEpK9qKrtEfdbhf1qBu+X928C7XAdaqLw4PqQi2hLgydTRlwXahU5ZgbNVCbqpb1Niqmyvda4NSPyvHuyEHmYGu9sVj/AmK5kpRab3QJrPjx6qSb83tBJXd7w74SAGZPnTN9eWpiub024G15ARd1rvR/D8VS9hxePqbOctOQkYMBJ+761iE5rL4Lqg11QtYtJvV3hL+55LRlKq33GUvZfeH/TovtkX3uV5drbvtnPnSrHt26R7fy8Sdrvvr2r8t5H7xPPnv6CTMPwGwQ6AGwGsxNu9M3WaLb5789tfKx1E9Kq+2H168+Hpd0Pt/RtHoodaFWq5UkNeymXudlsQ/Xd3UtG9/t/vondWk1SLESu+P2UURwvDrpnA1rvlZOBaejOxcAbDvdTco+dMVltz+Q4ZxUZ0N1RtTdYn3n7/Y5fEp5x7q3I5aTg6ZBje4+pbvUuuX35lGbrsDz/Pou33daTHat24favPbPHOl8PTpvj87fo/P4eLYe/Z78YuF+eevHGyRrBmaEQA+A6El4TccdqbT66pQlfdixrT0se1EVSqPY7mufSEimUBHH8XXxwfg4XoPpII/uymaf6iDPoO4CAIBOuuuX7gLlfcVobh41ndQZs6ZH5NIjc+kRuvzJmv/wnm/ISz9wr9z2pb+ycwBMC4EeABEWUxd3NWnlHC6nfTlclFaLC93C2u3m0zvZPACtIINuml6TUi4lHY09On6lc235f3pr6K5DWSkO+/kwtku8H/g6Xq+1tiEhUWvA4+J49SLIAyAi7Dm8//m7NqSr7GR0F6hSzS3L0SM7mu+asrRSCG23bd4/s6a7b/3OJT8jX377hXL5S37CzhV55NtPyq9+5KT88z/eIlkzMEUEegBEXqrUbslR16NeePfjvv7x5UO+4UtNNxnbZLpnSA59Uegu2Kgebo+c5PGts54/3BrWtXr4qJTrZckPHeUjJd7o2WZbvY3S22SHlo16El6OV1s70TNBHgCLZIxuRPZ8W04nO4Po6nxphic3Q6bPQDVrvh+SRT0guysWi8su06+sOxAf9n3NoBvVdu2fOdv53GfKf/+NdfnYm3Z3JGu+/St/bVr3fPDuh0nWDEwBgR4AKyAmuU07uoX4R0HyzdddheI2WNBqQZGRipcIxUukqOghWfVyce9GXmuNmuEvy1unO/S2kSjIAbvKWKtzvlpOl2uHB0+VfCM22bI6tqlP3pro4HgZjaIc8m1yb96GxR9uF0BUqfOdOl8mRzoJqfOtmyynfa6050sdhE8UDrgtMqctdcD8eFDPp30jPOrcbbrQ7kB82Pc1zvsfZpv2zzZ53c//pGnd8+8uekErWfN3n/x7OfBnX5Nf+P0vkKwZmBCBHgCrwTcyk7raa3cJ0iNvmCbc9m9WIqOH2rbdgIyUlBx//36d98VpDffaMbKSXWcm4V9nwh3a1X/Try8+u8p16RGj3Hw1HWtQ2+QMGlI2Sjhe0jh+VF3uA8BiieUOts6t9ZNdudSGSZXMsOIdp1J17tXDic+uxWJMcjWn6/zde44P+74mev/DbMv+2T7PedbT5UOvjck9v/myjmTNX/zGd+WiP/iiSdasgz8ARrfW1J0+50BHpB8kMjsz5+w40/TfBQAAAIBlortr6W5b77njtBmG3aO7d+lgkB6uHUB4BHoigkAPAAAAgGWmEzK/+WOO3PHAt+wclw706ICPP68PgP4I9EQEgR4AAAAAUXDL/Y/J2/7bV+Wb3/lbO0fM0Oy/l9rZkdcHQDACPRFBoAcAAABAVHz7+0/J1bd/Xf5T/X/ZOa4Lf+bH5I9+NW7+BRCMQE9EzDPQo48lACDa+PEAALAI9Ahc+289JVuPfs/OEdOiR7fs0S18dEsfAJ0I9EQELXoAAAAARJFO1vy+u/5S/sP/+MuOZM07n/tMk7vn8pf8hJ0DQCPQExEEegAAAABEWePx75tkzXed+j92jut1P/+TcsPeF5OsGbAI9EQEgR4AAAAAq+Cj9/5veduxr8rj3/s7O0fkOc96uunK9W+SP02yZqw8Aj0RQaAHAAAAwKrQyZoP/NnX5I8/+6id43qFui/SyZpf9oJn2znA6nma/Xd5PHSnbF59qbxBfYB1cMNMr71U3nX3V+0Ci+303Tl5w2uXc9sBAAAAYBHoFjxHXr9L7nnry+Tc5/1DO9dN3vwLv/8FEwT67pN/b+cCq2W5Aj06SHLx6+S9N39O7rezjPs+J7e+6Tw55+o77YzFdPrGS+WyN90k999nZ2h2299w43IHexrFpGm11W9KJrNSbdiFt1OjKFm9LfapmiHFpNrGZFE9mp+B+0ttX7FjZ23PNsJTlaw+Ltl2rQnGcdoujWpRnWPs58d+hoafbzheAABEwS+96Mfly797obz7n+2QZz7dvb3VyZs/ePfD8tIP3Ct3PPAtMw9YJcsT6Hnow/IGHSSxTwPd/LoFDpjcKf/vez7nPrziNrnz9BPy4On75Zor3Fn3v+cP5NPuw0iq18uSjvsDLNujcfyolOv2yaJS+yqfjsvQuALmoppNS9k+xgKqZiWezqtzjH2umfNNUopEcAAAWAk6J8+1v7xT7j9wgbwq9hw7V91CfusHkip9WX7tP/+FfPM7f2vnAtG3NIGeT5fe0QrynNcKlLjBkiPvfrn9i8j9t/+5nLaPtdM35jq7ee24VN7VEwz6akB3sJxsPmT/7Ge7jnWu786OMgM91JBTF7jb+frLLpMd5tGLZeOyK80jka/I14PKWyoZqTSbJldQ5+RIJZNQfy/LoYW784pJrqa2sZZTj+YteH85lYz5a/kQLQ22m255lSbKs8AaUjykD1BCChXHfobU+aagzzd1yR8mWgoAwCrRXbju/rc/Lzf92jly1hk/aueK3HL/Y/Jz139e/lP9f9k5QLQtSaDnTrnrZvvwitvkluu9QIn2YnnlVXfJkSt0AOh9cuT339L6m+kq9Z7uVkCfk1vf4+8q9VXZfO15Ad3BbpL3XnxpZ7BHtyqyXcfa9PpeJ5e99sODgz073yK3fPwuE5y67hI7Tzn99a/YR1EWk1TpoLjhiy6NqmR9XS76dfFqVLOdXTPWkpINCBqZ5bxldBeo1iJuN414Xv/sX5a0Lsv8sbv7Rvt5taM7SIjyzDJV9/UTNMeJpUpiYj31k+K4s3z8+2vANrWW6becep9Zf/cxtUzwjh9+fFR5+m+Ra4HUKMqGqi+ZSiW47g406DjZOqZ2WLsLn7dfQx4XuBrH5aj6SCcKm5JLeaFadb7JbYqJ9Wydsp/rYTheAABEyZte/lPyF1f/gvnXo5M366HZf7Fwv2w9+j07F4im5Qj06NYw9qFuDRPkldc/Ibdc/xZ55U47w9dV6vXvvt+2/rlNXn+BmSX3OzbQ89CfS9XmzGktd0ItZ+Z8Tt5b8vL+fFU2f8u2KrrgfXLkhG1RdOJ9cp6ed9875HdH7jbm6851wWvlVa1tj5hGI7j7i7qRTsbVfF+XC7eLV2eXC31zFU+XO7tmSF3K+a7uTVXdhUMtZ5+aLlDjdt+o5yXd0R2kt7zWdtnn7jJpMbGkmTgph5P+/TVgmzq2oXs5feMal3xHHza1THd3sZDHJ5rUjX9cHf9MRUopOyu04cfJ2DpkAklGYrfEYyGPC9piOak1m1LL9WmPt74rREs9jhcAAFGkW/Tolj26hU93subzPnifXH371+UHT/3QzgWiZXly9IzsMrnOBHeekOv+H5FP3/hheddrXye3eomQH2z0tMC59fY/kE09AtbO9msfvN4GlvwBobf6Ako73yLvt13HuruNDXanuz32mV5nu5XSsnJbyrR/3bZTPG67v2TkYOuGTN0kbagbaUlIptXlQndbKqg5/i4XDTmuf7LX3ZwcXxcnRy+nSjzWXq7VhcMu53aBqsvR4zoq4XbRcszP/G6Xqb43hx51k+/Y8tzX+curymFz0+frMuJU3FYEE9Itcsz+yuyVjhhDvaz2cMG3TbaLl28fhNpXXisI3/sL3J+hjo+SKpm/jR4QWVwmMJlQ+3qcNzX0OFk6Glew+1Z3HQx1XBBGo7hhAq6ZvSGOH8cLAIBI0zl7dO6eg5ftMLl8NJ2s+X2f/EvTneuuU//HzAOiJMKBHnGHMtd5dC4+T/a/5x3tII/fzrfIW66wOX50dy09eteOS+UNV98pp/vkzLn1TV5+Hne6zGuVc9+D4QI9D90p79rRDjqd9+77O7pzRU/C3gyV2oELX5eLUqvLhe62lJNNHS0pHxP3Vsnm0FGvjUvDdKcqZrOS1K0tzN8t3/q8+I3uAqVvvoYGdAJlpKJu8r1XxnJdXc+qx0wLpY4uI7GU5DbdG71wggNjukWO3meFA903qWqbfLmEYrm9ndsUdl9Z9a1DcrhYlGqjoVdmWkY0vcBG6OMTQSbQpvb/5rh5m4YdJ48/8Nk28LhgKB0oNV001Tkn3G7jeAEAEHV6NK7fS+00o3PpUbo8OlnzP/2j/5/8q//ygDz+vb+zc4HltxyBnp0x2WUf3npn8BDqn9bJlK/+sHzaC8489GH5XW+UrgteLq9/921y54n75RrbdcvvldffZbprXeMFfORzcv/Nr5PLLj6zncvn6w925foZkw7yXNxuyaODPLdc9WL7bNmpGyZ9k2Mn3aJGBz0SmX2y6QuaGM5JE3yo5+O9gQ7TUmZLTnndg3QXIj1ftwxK5yVf9neX6rS+q/dGbCy6a4Z96IrLbl8Ep3FqS/0/Ifv2dJUX2yP7wkd6AiUSaj86tVbAqmXINhlh9pW6GT2o72TruotKXtJqWb3fk1l9s+ouMtLxiRK9/9LljoDhyMIcJ617uTDHBQPoLqJu10V1AMO3xuJ4AQCwMnQXrnve+jI58vpd8pxnPd3OFfnovf9b4v/hc/LHn33UzgGW25K06LlMLrXDkJsh1K/2j3L1Vfn0jZfKfp1M+eZ3yP6Lc+4w5a3AzJVy5ON3yXVXXSY7/Dlwzol1dpXaeZls6ICP7q6lA0Ldw56/8Bw3F4/y+o/Ybl09U1FeaZcJFuUgTy/doqZWyUi9nJd4K9nxqGyuFPUokclIoVCRSsURpzlOgtxF0xkY86ZarSS+RjQjCL+vUiW3G5YZDM3Sx2kRhsDfTnr4/d4AV9q03pJyWj2ebX4ijsu4GiZfTrpcl4TuXuVroTNLHC8AAJbTb7zi+eL8+5fLGy/8x3aOm6x5/62n5KIPfVEeeOxv7FxgOS1N161XZm3SY8W0tml1ndLdstqjYJ337t/sCrbcJHfpvDvK6bv/QN7b3X3r7lyrC9a77HKyU+SF0h6y3dj5zyRlWwPd+qGcr+WQ7oZlt+Xq4NZGnk9fvTpBnpbWCFJ52fDfIcd3m9Y+mUpvoMOdbIuWxinRbWf0crVSSXK5lKRSMYnZ+d225tTMJLZrXf3fy//jY7s8bYsR95XuhlUyXb3UzarOL2SiQWUx6UXCHh9M3cDjggBVya7FJV9380mN11VzfBwvAACWk07W/Ce/fq78jzf/E4md9Sw7V+R/fu3/ykvff6+8s/oQyZqxtJYnR48envwjV7aCPYEueJ+83wueXLLHjpylc+rovDtnymVvusnOUbxkzJf8Zqs7l7ecCR55Q6hfsccGjl4sG7/vjbB1k+y/2AZ3Wi10rpQjXuLmIA99WD7sDRGv3P8eryxv6hrKPUJSJbdFST1/uP0rt+3iVE4npejv59Cww5Pr4YvtLE0nN20tpYf8NomCFW/4ZLu+en6j3eKiUVQ3gGpdPa2JptDtKOXm8TDleduvt93brm00dF/Z4dCTxfZysVhcdpn+KgnZrfunjHh8oiKWq/mCWd5kW0RlKurxDANcYY4Lergj+ukk7LWOfFIzx/ECACASLt31j0zunne8+mc7kjUfuvO0Cfh8qvFtMw9YJsuVjPmSotxic+l0BHx0Dp6P3C8Pftw/ctVlct2J97WGUxfReXrUMh+50n1638flUyaw8mLZ+Pj9cuTdXUEkL6+PP3ijg00duXxc512hh1sf3G3r9P/38enk+FlKKTlghqMqS7o17nBMcm6CC8mnfd1k4u7w5InCATdxs5fzppyWuG+ZjhGNDd/64t5yeVWiuj8/2N2Nw10mOVEfHO89+bbfbvu2CbuvUgfM6GD1vG+5tbikzY7fJ27aoZDHR7M3vAwpPaFQxwUdGkUxg+35P/cd0wwDkhwvAAAiQydrvv7yF8r9v3OBvGLHmXauutR4/PtyyX/8klz5pw+SrBlLZbkCPZrNpXOLPzeOzsFzSUA3qJ1vkes+7i2n8/SoZS4ptp5vtHL2vFheeVWxd506r49dosWfy8dOt1zvG269jx1Xdb6md/JvT/TEcpvu0OPldDsgoEfFcjrzW0iiu/tFTHKbla5lMmZIc7dL2Elx3LlmfV4CaJe7Ln9OVjN6ll2gftJpt3wZg2790Vueej/22fyF3VdquZojhc4F1aIVcfy5TUIdH0xPyOOCFi+n0vbgeAEAEDXrzz9DPpM/T/7oV+MdyZo/8rlvmqHY9b/AMlhr6r4Jc6B/7dQBDcyG7v41p0OJgXS+kLRsFQiGAAAAAMvqm9/5W3nbf/uq3HL/Y3aO61Wx55hAkB7BC1hUy9eiB1gEdhjztaw//48e3tkdoWlqw7wDAAAAmLuf+rF/IH/6r39OXd+/VHY+95l2rpicPecdvk+uvYNkzVhctOiJCFr0zJs7nHNgTp5Ega4bAAAAQETogM47Kw9J4cQjJlGzR7fqOfL6XfJLL/pxOwdYDLToAcZCfg4AAABgFehkzYd/5UXy+d86vyNZ8wOP/Y1c9KEvyv5bT8m3v/+UnQtsP1r0RAQtegAAAABgtnSLnv9U+1/yzupDHcGds874Ublh74vljRf+YzsH2D4EeiKCQA8AAAAAzMcj335S3nbsq3Lbl/7KznFduusfmWTNsbOeZecA80egJyII9AAAAADAfN3+lb+Wt368IQ996wd2jtvV69//05+Vd1z6s/L0p63ZucD8EOiJCAI9AAAAADB/333y7+U9f346MFnzTVec05HXB5gHAj0RQaAHAAAAALbPvQ9/R978Mcf86/dvEj8t11/+QnnOs55u5wCzRaAnIgj0AAAAAMD20i16/vCeb5hkzbqlj+enfuwfyA3/4sXyhvOeZ+cAs8Pw6piyhlSLWUkm10xwz0zJpGSrDft3T0OKeplkUT3aTtuzHY1isr1/uqdkVood+2tR9tVqqmbVvs9W7bNBOE7bpVEtdp1zstJzyunB8QIAANOnc/LkLz5b/uIdvyB7X3qWnSvyze/8rfzaf/4LSZW+3JHPB5gFAj2Ynoa62VqLSzpflnrdztPUk3I6LslQN8uQelnyan+xu7afDsily/YJFlM1K/F0vuucU5Z0PClFIjgAAGCbnP2cZ8h/u+olZtKPPXc88C35ues/L+/75F925PMBpolAD6akKtm4utlSjxKZijhO03Ql05PjFCST0Pde6QUMXsQkV1PbWcupR/OWkYrdR/7JqWTMX8uHaGmwfRpSzSYlnvdHD7B4GlI8pCNxCSlUHPsZcqRSUCccdTbKHyZaCgAAtpdu1aNb9+hWPt4IXD946ody9e1fl/M+eJ98lvQmmAECPZiKRvGQmNutgiO1UkpivqhJLJaT0mZB3YqFCF40qpL1dcFI9umC0ah2dQ9bS0q24+f7dreMake3jv7LuXPDvs5ltqNjG6ru6yeIaMVSJTGxnvpJcdxZPv79M2CbWsv0W069z6y/+5haJnhHDz8eqjz9t+i0QFLvWbdMUxU6UymIG3Yb1aDjZOuY2mHtLnzefg15XOBqHJejdX3e2ZRcyjvpxCSV2xQT69k6ZT/Xw3C8AADA7Dz7GT8iN+x9sdzzmy+Tl73g2XauulR59Hty0R980QzP/u3vP2XnApMj0IMpaMhxfbelbokP5vq0i4nlZNNxBrec0V2/4mkp+xpR1AO6YOibrbi6C+/oqiF1KecDujvV85Lu6NbRZ7luIV7X2g773F0mLbNrBHJSDif9+2fANnVsQ/dy+sY1Lnn/jtbLdHcXC3k8omi3bpXWrEkptcvOGcXw42RsHZINr7Ikdks8FvK4oE2dV2rNptT6nXfWd4VoqcfxAgAA86GHWf/8b50vh3/lRSb4o3nJm1/6gXvlti/9lZkHTIpAD6bAkZP6XiezV1LujEAxfzOfHuqmaUN3/UpIptUFQ3dj0i2B/F0w2kGliq97WNOxLYaOBdxhmZt2uz7zM3+f5boNfF1VDpubPl+XEafitiKYkG6RY/LCdO/PelnKUvBtk+3i1dqmkPvGawXhe3+9+y/s8VBSJfO30qCDv1RSktOt0uyzkQ09TpaOxhXsvtUB0FDHBWE0ihsm4JrZG6JScrwAAMAc6e5bv3PJz8iX336hXP6Sn7BzRR759pPyqx85Kf/8j7dI1oyJEejBYvB1wSi1umDobkw52dTRk/IxcW+dbE6dZkni0jDdq4rZrCRtfqBeGan4btpjuYMhu+IMeV31mO2q5usyEktJznZRC6cs6VaXj/akW+SoNUvhQPdNqtomX4uoWG5v13sZbd/Utw7J4WJRqo2GXplpGdH0ojWhjwd6DTtOnuAWcAOPC4bSgVKTWylTCRl85HgBAID52/ncZ8p//411+dibdncka779K39tWvd88O6HSdaMsRHowWJwTppgRD0f7w18mJYzW3LK6y5kRvdS8+Nx070qX/Z3n+qiu1jYh6647A4TiRnyusapLfX/hOzb03XjF9sj+8JHegIlEurG06lJzz1lmPcSZt+om9GD+k62rruo5CWtltX7OZnVN6vuIiMdD3QKW+e6lwtzXDCATaCtA6WJgjhhgy0cLwAAsI1e9/M/aVr3/LuLXtBK1vzdJ/9eDvzZ1+QXfv8LJGvGWAj0YArsjdGQVh6NYnYKN0FV3+heGSkUKlKpOOI0K31+hV9kmcBRt2q1kvga0Ywg/L5JldxuWHo0NE+9rG9Ws7TU2UYcl3G5+XLS5brohPDzGkWP4wUAAKbhOc96unzotTGTrHn9+WfYuSJf/MZ3TbLmtx37qgn+AGER6MEUxGSPacZSlkN9s/TqnDZldRN0Ui/eK77bdHnKVHoDH+5kW7g0ToluS6OXq5VKksulJJWKSczOn5fYrnX1/7ocPd71fm2Xp20x4r7R3bBKpquXulnV+YVMNKgsJr1I2OOBqRt4XBCgakZJy9fdfFJ9EzPPCMcLAABMi07WfP/vXCDXX/5CeebT3Vt13X2rcOIR+bn3fV6OfflxMw8YhkAPpsLLYaO7+iSzVdHpKjyNRlGyelQb9ThROBCcsNl2eSqnk1L0N/lp2OHK9XDGdpamk522ltJDgJvEwUro4ZQnlHLzeNTzG+3t1dvqbcc2Grpv7HDoyWJ7uVgsLrtMs6yE7Nb9U0Y8HpiCMMcFPapZfW5JSMHRo6TNMcjD8QIAADOgu2+949U/K39x9S/IL5/7XDvXTdb8L278ipn0Y2AQAj2YkpSU7Igz9XJa4nFfTpd43h26OFMZ8Gt7THJuwgvJp315YeLucOWtAJGXA0eX4VumY4TjuUjJATPElm977bZum7D7JnXAjA5Wz/uWW4tL2uzofeKmHQp5PDR7w8uQ0hMKdVzQoVGUQzqCrOup75zTnmYYkOR4AQCAGdLJmqvZl8qf/uufk5/6sX9g54pp1aNb9+hWPiRrRj8EejA9esQZ03UhYQI+LQk7RPew5Kh6mG6nM9+F99p2gCgmuc1K1zIZM8R5xcQlTorjzp25WK4mjiq0vSl6W9X222fzF3bf6NG5HHOc2tQx08NE+3ObhDoemJ6QxwUtjeNH3dZq24LjBQAAZu8N5z3PtO75N4mftnPE5OvReXt+sXC/3Pvwd+xcoG2tqRMLzIH+tfNBMobPzDk7zjQ5IrDddL6QtGwVCIYAAAAAmJ7/+bX/K/tvPSUPPPY3do7b1St/8dny7n+2Q579jB+xc7HqaNEDjMMOY76WLbbz4ahHbr4QkfVdBHkAAAAATM8vvejH5cu/e6H8XmpnR7LmD979sLz0A/fK7V/5azMPoEVPRNCiZ97c4ZwDc/IkCnTdAAAAADAzjce/L2/+mCN3nfo/do7rdT//k3LD3hfL2c95hp2DVUSLHmAs5OcAAAAAsD1iZz1L/seb/4n8ya+fK2ed8aN2rshtX/or07rnD+/5BsmaV9hcW/RgtubVoodjCQDRRytRAACWw7e//5Qc+LOvyR9/9lE7x/WKHWfKH/1qXF72gmfbOS697L//pz8rz3nW0+0cRM3cAj0AAAAAAGA2PtX4tunOFZSs+ffSbl4fvcwl//FL8huveL4cef0uuxSihkAPAAAAAAAR8IOnfijvu+sv5f2ffNg89ux87jNN7h7dmkfn99E+kz/PtPpB9BDoAQAAAAAgQnSrHt26R7fg6Ud36fr8b51vWv0gWkjGDAAAAABAhJz7vH8od//bn5ebfu2cjmTNfl/8xndN0mZEDy16AAAAAACIqMe/93cS/w+fM0mbuz37GT8if/GOX2A49oihRQ8AAAAAABGlh1wPCvJo333y703eHkQLgR4AAAAAACLom9/5W7n69q/bZ8Fuuf8xueOBb9lniAK6bgEAAAAAEEE6GfPxk98y3bce+tYP5JtP/K15rCe/2FnPki//7oVmCHYsPwI9AAAAAACskKd+2JRHvv2kafGjgz//4sav2L9sj+YNF9tHmAbCdQAAAAAArBA9pPrO5z5TXrHjTNn70rPsXEQFgR4AAAAAAICIINADAAAAAAAQEeToAQAAAABgha297YR95Jp1zpx5l7dqaNEDAAAAAAAQEQR6AAAAAAAAIoJADwAAAAAAQEQQ6AEAAAAAAIgIAj0AAAAAAAARQaAHAAAAAAAgIgj0AAAAAAAARASBHgAAAAAAgIgg0AMAAAAAABARa03FPp6ptbU1+wgAAAAAACyM/KfsA6vwKvtgRrrKa95wsX2EaZhroGdORa0k9i9WDXUeq4Y6j1VDnceqoc5jO6297YR95Jp14GXe5a0aum4BAAAAAABEBIEeAAAAAACAiCDQAwAAAAAAEBEEegAAAAAAACKCQA8iqiHVYlaSyTWT2M5MyaRkqw3792lrSFGXlSyqR9NXzap1Z6v2GRBk+et8o1rs2v6szGzzEQFRqPOd25/MzuY7BFERrWsbdXUjWf0euL5BX8tf5801vLftvilZ5GyP2SLQg+hpqJvFtbik82Wp1+08TT0pp+PqQnq5LigaxaSky/YJECQKdV7d8MbT+a7tL0s6nhSuhdAjAnVen9vj6uTu3/56OS/xtay6/QW6ROzaRqtm08LlDfqKRJ1vyKkt+xCYMwI9iJiqZOPqZlE9SmQq4jhNM0ylnhynIJmEvpBOy3JcDzXURZC6Ecj7v92AblGo8w0pHtKX+wkpVBy7/Y5UCmrj1TvLH+a2F35RqPNVOazP7YmCVFrbr+q83nh163uMKo8OUbq2cfEjFgaLSJ1vHJej6k1kKu3t96ZaLmYXAmaDQA8ipVE8ZH4dShQcqZVSEvOdQ2OxnJQ2C+pWUl1GH7JNMqtZ03yy94tCfcF0Nas0Tey9JpfJbLhWBg21Hn+z/NBdUXT5cXMRlKmoLzQ7F+gWiTpvL4QShU3Jpbw3EJNUblNMrGfrlLvtgBKN83xKSvpiv5aTVpXXdf7APrPtW6eo8WiLzrWN1SjKRr6urm8qXN8gUGTqvHNS6mpLd8ftc2CemnMyx6JWEvtXc5rqplDti0yzYucEcRzHPtIqTXWR0dSh9g6VjFpPolnwFjXP9br9k+/vXtmJgnpkOYWm+hIa8rp+Ks2C2iZ3sT7buOL0vkSU6nwQWwZ139D7ElGu847ahHFfG016XyJqdd6/bVzfdNP7EtGp804hoZbLNAuq3NY6Eur5kNdtF8l/qmOatXmXt2po0YMIceSkbuOZ2Sspd0agmP9nAbXkXvXNIOVj4v8RoHqsrM7f+2SPWdTXrcQ2HXXU1bjuUnL0eL9wvnrNhm5ymlDfOV5XFP06/QtEmK4oKcnpXzDsMyBYlOp8r0ZxQ3TvlszeQe8OqyWKdV6tx/xSrFtx6u6LNaFFP9qiVedNXp5EQRx1jQMEi06dd8wbKUte52NzZ6ni1PN4UOsjYLoI9GDlpdxvBl9OhKq43wt73ECLv1uJ/U6JpUrmRN+3f63vNaV2u3z1upxsFhI9X0TAPC1DnddNq01+qkxFrc/OBMa02HVe39QkJKFeom848mkSkGNyC1nn1XndBDM3c/yQhalbvDrvJWLWAXx/kEhvp3qp1+0MmBECPUBqr+kjXva+GarH1NdEQva54f+W9V19vgSCmD656pI9H2/15/UmN7nylpCCAdtmoeu8TUKuE1Txqy+mZaHrvM7XU5NaTd0EODpnSV3yG9wAYEKLVuf1CErqvO6/yQamauHO8zHJ6fO6Or+38w+6wSW3IdFR6duQCJgCAj2IkLjs1r+IDvlFqVHMSjJb9CVR62zu2dnME1hkUavzuguL7r5SVzcDjklUy8cQnSJ+no+l5ID+lZgbALREo843jh8NuGG2w6uX0+oxLdngif71fNy8QWC2CPQgQmKyZ5/5ZpBDfa8W9JC2ZamXT+rFW9rNPbuaefqMNApKfLfoLckEDKfoTuRgwDREqc7rkTHikq+7/eD7NqPGiotIndetG/SNLkkaMBTXNlg10TrP+0f88ri5e9ZllMZFwMhUJZ2LORa1kti/Hpt1X00JdVb2J+R3nEIzY7L4q78VutPdu1n2EwmdHb87i76X/d83X69Ll9PKyt+dpd/3mopvZU7Fzh88kkAnRqUIQp33RKPOVxhtaCjqvCcKdd57rTQzvtc63ogwrTJWG3XeE8VrG43rm27UeU+UzvMJ33neaVbMSFxq/gLW+3mPgjXv8lbN3M4mg05c7tBz+oMQPCUS6kPk+2xtG3NiGfVLbHLmBmjIyUDvJ1jqOCW66lDH1GdftuthwDEOHI5RX6Dbv/d8MSh9XqOn3i+mQbgQCqL3I6xlr/PDtn/km4do0vsCVhTO8+q1we+h++Zkden9ASty1zYa1zfd9H6EFZHzfNDrFvU8P+/Ay7zLWzVL0XWrXi9LOp6V7W7grPsXl3VLuzlqFJOic5JiBLGc1JyKFDIJ09yyJWGHRuyT3DW2Z5+7fNBwjqmSyZLfXp+7roF5YnUmf6cgajPa7DbQLQVTteR13svdAIQWhfO8em2t67WJREYqDt1fEIBrG6yaiJznu1+bSBQ4z2Mu1nS0xz6eKZ10rV9ROpgRz69LpVnq/UCaEVg2Wsk5t/NLZPB2Tlv7fRuZSt8TmjZo/yKkalbW0mW1q5uDT/hYCNT5KaDOLxXq/BRQ55cKdX4KqPNLhTo/BdT5sa297YR95GrecLF9NBvzLm/VLEGLnpikSgfNcHk9GlXJJtvD3CWTWV/m9baG+sAnfcvpzP7ZgMRYZjlvGbWu9iJ6JBhvGL2ypHVZ/td3bYd+bed2uK/XSRd1sMhdLnhbXW5SUnWOUiepQvB7x3TpY3hIZ20ryAG+FLAKqPNYNdR5rBrqPFYNdR5oWfxAT0O3bLHDL/rpTOZxNd/X3t/t4tU5PKNphZMuq7/ZGUZdyvm4dAx2Uc26y9mnotaV71pXIB0c6toO/dru7TC2DsmGCRYpid0SH9A4aXemIk6zJqXULjsHs6G+EHTgzR7DoOz8QLRQ57FqqPNYNdR5rBrqPNBtgQI9bkuZVqsYb4q7LVtEMnKw1W2rIcWNvNRtv0rdxFFPTqWg5tQlf9iL4DTk+FH1aVevrTi+ofAcvZwq8Vh7uaKO/qq5Bbuc7r+pA0JHj+toTUxyNTWvoF+l1qX+7nYhc19nSvBvh1lObcdGUS3ho6NNBbtcLTfgBJSSXCnFCWou4rLb9ptNZCr0L8cKoM5j1VDnsWqo81g11HmgR3NOBhXVzo4eNCXcYfXssobNwh6U6dxdV2+WdcdxmpVKoVnI+Ea5UOt1/9h/fX496/aywXvr8al0DBVsM7gHZX8fKtyIBL37jYmJiYmJiYmJiYmJiYkpxNQ1ClbgMtOc5l2emlbJwiZj1vlyNkySmoJslrpav6i/6SRb/emWOTabuenipVv/BMjYBMd2mfUhSbt6tnPQ68w2btnt0Dl64pKXgjgDW/IE0U0R01L2trUPd//aJzOmilLbcoF9Nltr2fsoa0K6rAdPP2GfzdY5O86U+kO322ezldh5OXV+QtT5yVHnJ0ednxx1fnLU+clR5ydHnZ8cdX5859zwBfvIVc9/1z6ajUTh2faRq3nDq+yj2TB1fl4fsAWwsDl6YqmS1CoZqZfzEk92dYEKrSpZG+RJZDJSKFSkUnHEaVZIcAwAAAAAACJnsZMxp0ripsrJy4Y/s3F8t8mxo4fN01G53slrzXNKtuxytVJJcrmUpFIxidn53bZOjRdOauf6aaseG9TiCAAAAAAAYPoWftStVMltfVPPH5ZWOCW2R/YlRMrppBT9Y5Q3qu4w5nrocjtL04GY1lJ62D2TyFnZOuXOt+ur5zfaI2U1im729p7WRFvSigfZ16kNkaxvO3QXL9OzLLFP9pALDAAAAAAAzMniD68uKTlgRrEqS7o1HnpMcgfdUbHy6bi0R+hKix69PFE44ObQ8QVi4r5l9LB7nXzri3vL5c2Q7pmD3Tl13GWSJiLkvs4tor0dcTOEekIKm6Pm4wEAAAAAABjfwiZj7mSTGdfdblitnMS61c1Gvh24SSQkc3BT/d0XXjEteHzBnURGCgcPyK5jeth2PVR6bwJod1E9dHvXunTOn6RdV6YijtoQ89ee7VDr3VTrbb10cZIxq01V+9o+6UPt4j7HwaWKGpp4rPHJByR+9Hv2Wa/Ei86Sg1fukNTz7Iw+wiQ5oyw7o48wydtO33ipXPaez9lnfVxxmzx4/WX2SbDREhY+Kp+58b/KTbffIVte7rfzz5W9b/1tefslz7cz+gubsJA63x91njrfD3WeOt8PdZ562A91XqPOB6HOL0edHy8Z8/h1fpRkzFOr82E+YBGxEC16Yrma2un9gjxaTHI1N/9OR6wjlpOSnW+mWq0rMKPEUl3LlCSnlkmV9PPOMk0CaG+5ZsC61NKtdXlBHq1nO/xBHs1u/8hBHk2VacuLkvrXHpf0O093dLGbFcpaQKc/IZmd++W3r/N9KWhfeECOXblfMtfca2dEB/VwctT55UI9nBx1frlQDydHnV8u1MPJUecxK0vQdQuzoCOezT7T9EJKZ0mldIGJdHdO61K56Az198fl0CefdBedGGVN7ko5cvoJ82tB4DTkF6/w7pUPXHzEJERfv+JaOXridvNLmZ6Ontgve88X2br5WvnA3e7S00KdnwR1fjLU+emgrMlR5ydHPZwcdX5aqPOToM5PJsp1PhoI9GAbPENSb/zpOQ1xT1mL5pEbb5Fj6t/1dx2R8nsvlLN3uPO1s3e8Rt5+w35ZV4+PfegT8og7OwKoh5Ojzi8X6uHkqPPLhXo4Oer8cqEeTo46j9kh0IP5e+xJqX7UMcmuZ46yFsyjUrv9AfXvL8uVV/Xpt6u+HN514ojUP/4aOdvOWnrUw8lR55cL9XBy1PnlQj2cHHV+uVAPJ0edxwwtRDJmTM7dv/bJAMMSWenmcMOavU0jeZtLN2PcMbC8aSQ5c612Wbqp5iDDk7e9XK45cZds7LRP+xiesPBe+cDOa+XYFddK/b0X2nnjmVbCQuo8dT4YdZ56OAh1vj/qPHW+P+r8YNR5yupnHnU+fDLm6dT5aSZjDl3nw3zAIoIWPdgGZ0jiorg4Q05o00FZWATUw8lR55cL9XBy1PnlQj2cHHV+uVAPJ0edx+wQ6FlROuqpA5rd03RPMjo63U445rz1LEmouYmLniubbzxzjBHIBqGsyQ1K3jb8F69FR52fBHV+GVHnJ0GdX0bU+UlQ55cRdX4S1PllNJ86Hw0EejA3sfUdUlMntvo9D0v8/Y9Jw86fBcpaVC+QHeerf27+rHzGnRHokRv/UDLXfEI+c9rOWFLUw8lR55cL9XBy1PnlQj2cHHV+uVAPJ0edxzwQ6MF8qRNb5SL179celo2pDSPYB2UtoOdL8vJz1b93yE03PurO6nGv3HzdHbJ188Mivgz+S4t6ODnq/HKhHk6OOr9cqIeTo84vF+rh5KjzmDECPZi71BvjZhjB+tFvStWdNTOUtXjOvuoNslf9u3Xdfslcc6884ovyP3L6E/KB115rh2v8l/KL7uylRz2cHHV+uVAPJ0edXy7Uw8lR55cL9XBy1HnMEoEebIMz5cC+M9S/j0v6o4Ozx0+OssK7SfbvONOMLhE85eTTdsnJXChvP7Ff1tWjrZuvlX0XX25GmdDTvouPyDGd8P+Ka6Xcb7jGpUQ9nBx1frlQDydHnV8u1MPJUeeXC/VwctT5xVCV7NqarGW7wm3VrKyp+b2z1bJr2YUPzhHowbaIvfqFUniRenCPI9ktd96sUNYC2vEaKZ+4VnJXnGu+IFrOP1f23nRk4uFJFxH1cHLU+eVCPZwcdX65UA8nR51fLtTDyVHnMStrzTkNJq+jYas0bv28ufvXPpkxVZTJGD8Pa9n7KGtCuiydaX8e9C8F9Ydut89mS/9iQJ2fDHV+ctT5yVHnJ0ednxx1fnLU+clR5ydHnR/fOTfoZjht9fx37aPZSBSebR+5mje8yj6aDVPn5/UBWwC06AEAAAAAAIgIAj0AAAAAAAARQaAHAAAAAAAgIuaaowcAAAAAACyY/KfsA6sw25w5cy9PWaUcPSRjjgiSMU9uHknOPPNO7EcSwclQDydHPZwc9XBy1MPJUQ8nRz2cHPVwctTDyUWtHm53MuaZl2fq4Zwq4gKg6xYAAAAAAEBEEOgBAAAAAACICAI9AAAAAAAAEUGgBwAAAAAAICJIxhwRYZMxN4oi8bx90kdFrSdlHwcJk+Ss8ckHJH70e/ZZr8SLzpKDV+6Q1PPsjD7CJDmbZlnDkpydvvFSuew9n7PP+rjiNnnw+svsk2CjJdt7VD5z43+Vm26/Q7a8HGnnnyt73/rb8vZLnm9n9Ddasr3Jy6IeBqMeUg/7oR5SD6mHwaiHGvUwCPVQox4GoR6OXw/HS8Y8ft0YPRnzNOphiIoYEbTowbaof+1xSb/ztFTt81maZ1lTd/oTktm5X377Ot8JTfvCA3Lsyv2SueZeO2MK5lnWgqAehkQ9nCnqYUjUw5miHoZEPZwp6mFI1MOZoh6GRD1caAR6VpSOhuuAZtA0KEo+mrOkUrrARLo7p3WpXHSG+vvjcuiTT7qLTmyeZV0pR04/YaLqgdOQX2vCu1c+cPER2VKP1q+4Vo6euN388qKnoyf2y97zRbZuvlY+cLe79GTmWVYb9XAS1MNpoR5Ogno4LdTDSVAPp4V6OAnq4bRQDydBPYSLQA+2wTMk9caflox9NlvzLGu6HrnxFjmm/l1/1xEpv/dCOXuHO187e8dr5O037Jd19fjYhz4hj7izxzbPshYH9TAM6uGsUQ/DoB7OGvUwDOrhrFEPw6Aezhr1MAzq4eIj0IP5e+xJqX7UkbJ9OlPzLGuqHpXa7Q+of39ZrryqT59TdWJ714kjUv/4a+RsO2s88yxrgVAPQ6Aezhz1MATq4cxRD0OgHs4c9TAE6uHMUQ9DoB4uAwI9Kyq95iYr656m2z/0cUln7zPJwzqmd25J+h7997Pk4KufYZac3DzLukn27zjTJMzrnS6VzYfsYhP5hpzW/U+veIX8ojsj0Nk7+pzwRjLPsjpRDydBPZwW6uEkqIfTQj2cBPVwWqiHk6AeTgv1cBLUQ7gI9GAbnCGJi+LilHZMsZ9tP/MsC8uFeohFQD3EIqAeYhFQD7EIqIeIBgI9K6pfkrPpnmQ6E485bz1LEmpu4qLnyuYbz5SYu9CUzLOsQUnO7pKNnXYxDEU9nAT1cFqoh5OgHk4L9XAS1MNpoR5Ogno4LdTDSVAP4SLQg7mJre+Qmjqx1e95WOLvf0wadv4szLOs2XiB7Dhf/XPzZ+Uz7oxAj9z4h5K55hPymdN2xljmWdb2ox6Ogno4K9TDUVAPZ4V6OArq4axQD0dBPZwV6uEoqIfLgEAP5kud2CoXqX+/9rBsTG0YwT7mWdbUPV+Sl5+r/r1DbrrxUXdWj3vl5uvukK2bHxbxZZ8f3TzLWhDUw5CohzNFPQyJejhT1MOQqIczRT0MiXo4U9TDkKiHy4BAD+Yu9ca4GUawfvSbU06q1mueZU3b2Ve9Qfaqf7eu2y+Za+6VR3wR6kdOf0I+8Npr7VCD/3JgcrIw5lnWoqAehkM9nC3qYTjUw9miHoZDPZwt6mE41MPZoh6GQz1cfAsR6GkUk7K2ttZ3SiazUl2ENm2NomT1ttins9SoFtX79u2HRdkHU3GmHNh3hvr3cUl/9Al31szMoqxB2ez1lJNP2yUnc6G8/cR+WVePtm6+VvZdfLkkdrrTvouPyDGTgf5aKfcbanAk8yxrUVAPw6Eezhb1MBzq4WxRD8OhHs4W9TAc6uFsUQ/DiVI9rEpW329nu+7yq1lzH947W9+fzycmMImlaNFTr5clHd/+ndk4flTKdftkllSliqfz6n3b55rZB0kpRiTYE3v1C6XwIvXgHkeyW+68WZlnWVO34zVSPnGt5K4415zcWs4/V/bedETq773QzpiCeZa1IKiHIVEPZ4p6GBL1cKaohyFRD2eKehgS9XCmqIchUQ8X2lpTsY9nSkfD+hWlW/TE8+tSaZYCsqk3pJrdkHS5LomCI7XcdPOSj2Lwdk5LQ4rJuOTrCSlUNiWX0u9X7YOi2gf5ukimIs1Sb+nu/rVPZkwVZTLGz8Na9r65lqUz0s+DjqjXH7rdPpstHe2eZ1nUw8lQDydHPZwc9XBy1MPJUQ8nRz2cHPVwctTDyc2jHp5zg24a01bPf9c+mo1E4dn2kWvm5Zl6OKeKuACWoEVPTFKlg6b/Yo9GVbK+7k39ung1qtnOblBrSckGNI0xy3nLqHW1F9HBlzWJ60CLlCWty/K/vms7ertZua/XzcHa3dT6dMVqHJejqphEwQvyaGof5DaloMfh2zql1gYAAAAAANBr8QM9Dd2iJy1l+7SlUZRkXM33dW9yu3h1dm8yrXDS5c5uUFKXcj7e2d/OdJdSy9mnuqtUPkxXKR0c6tqOvt2stg7JhgkWKYndEg9qnBTLSa3Z7N9yaX2XbF+bJgAAAAAAsMgWKNDjtpRptYrxpnhc0ibKk5GDreBHQ4obealLQjIVxzTB0pNTKag5dckf9iI4DTmum8eo11YcdxkzOXo5VeKx9nLFQ7qQhBTsck7F5ECXo8d1tCYmuZqaZ5rUqHWpv7uBGPd1pgT/dpjl1HZsFDtb3+hoU8EuV8uNFLBpFDfE9NzaO7t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a matrix map of increasing safety levels","description":"The sole nuclear power plant at Grid City suddenly had a meltdown. Luckily, the plant was designed to be in full automation, so no casualties were ever recorded. However, thanks to radiation, the whole city is inhabitable for close to a century.\r\n\r\nYou are then given a portion of the map of Grid City which, for the purpose of this problem, is rendered as an N x N matrix. As the name suggests, Grid City is made of a grid of cells. Your task is to assign a safety level to each cell in this matrix, according to the following rules:\r\n\r\n# Assign _Safety Level 1_ to the cell location of the nuclear power plant, given at row R and column C. This signifies that cell (R,C) is least safe.\r\n# Assign _Safety Level 2_ to the adjacent cells around the power plant, signifying a safer radiation level in this area.\r\n# Continue assigning an increasing number of _Safety Levels_ at succeeding layers of cells surrounding the power plant until you reach the edge of the map.\r\n\r\nWrite a function that accepts three inputs, N, R, and C, and outputs a matrix map of Grid City with _Safety Levels_. Note that you can use any method of populating the matrix as long as it gives the correct answer. You are also ensured that:\r\n\r\n* N, R, C are all integers\r\n* 1 \u003c= N \u003c= 10\r\n* 1 \u003c= R \u003c= N and 1 \u003c= C \u003c= N\r\n\r\nHere are a few examples:\r\n\r\n \u003e\u003e safety_map(5,5,4) % N = 5, R = 5, C = 4\r\n ans =\r\n\r\n 5 5 5 5 5\r\n 4 4 4 4 4\r\n 4 3 3 3 3\r\n 4 3 2 2 2\r\n 4 3 2 1 2\r\n\u003e\u003e safety_map(6,2,3) % N = 6, R = 2, C = 3\r\nans =\r\n\r\n 3 2 2 2 3 4\r\n 3 2 1 2 3 4\r\n 3 2 2 2 3 4\r\n 3 3 3 3 3 4\r\n 4 4 4 4 4 4\r\n 5 5 5 5 5 5\r\n","description_html":"\u003cp\u003eThe sole nuclear power plant at Grid City suddenly had a meltdown. Luckily, the plant was designed to be in full automation, so no casualties were ever recorded. However, thanks to radiation, the whole city is inhabitable for close to a century.\u003c/p\u003e\u003cp\u003eYou are then given a portion of the map of Grid City which, for the purpose of this problem, is rendered as an N x N matrix. As the name suggests, Grid City is made of a grid of cells. Your task is to assign a safety level to each cell in this matrix, according to the following rules:\u003c/p\u003e\u003col\u003e\u003cli\u003eAssign \u003ci\u003eSafety Level 1\u003c/i\u003e to the cell location of the nuclear power plant, given at row R and column C. This signifies that cell (R,C) is least safe.\u003c/li\u003e\u003cli\u003eAssign \u003ci\u003eSafety Level 2\u003c/i\u003e to the adjacent cells around the power plant, signifying a safer radiation level in this area.\u003c/li\u003e\u003cli\u003eContinue assigning an increasing number of \u003ci\u003eSafety Levels\u003c/i\u003e at succeeding layers of cells surrounding the power plant until you reach the edge of the map.\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eWrite a function that accepts three inputs, N, R, and C, and outputs a matrix map of Grid City with \u003ci\u003eSafety Levels\u003c/i\u003e. Note that you can use any method of populating the matrix as long as it gives the correct answer. You are also ensured that:\u003c/p\u003e\u003cul\u003e\u003cli\u003eN, R, C are all integers\u003c/li\u003e\u003cli\u003e1 \u0026lt;= N \u0026lt;= 10\u003c/li\u003e\u003cli\u003e1 \u0026lt;= R \u0026lt;= N and 1 \u0026lt;= C \u0026lt;= N\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eHere are a few examples:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; safety_map(5,5,4) % N = 5, R = 5, C = 4\r\nans =\r\n\u003c/pre\u003e\u003cpre\u003e 5 5 5 5 5\r\n 4 4 4 4 4\r\n 4 3 3 3 3\r\n 4 3 2 2 2\r\n 4 3 2 1 2\r\n\u0026gt;\u0026gt; safety_map(6,2,3) % N = 6, R = 2, C = 3\r\nans =\u003c/pre\u003e\u003cpre\u003e 3 2 2 2 3 4\r\n 3 2 1 2 3 4\r\n 3 2 2 2 3 4\r\n 3 3 3 3 3 4\r\n 4 4 4 4 4 4\r\n 5 5 5 5 5 5\u003c/pre\u003e","function_template":"function y = safety_map(N,R,C)\r\n y = N;\r\nend","test_suite":"%%\r\ny_correct = [3 2 2 2 3 4; 3 2 1 2 3 4; ...\r\n3 2 2 2 3 4; 3 3 3 3 3 4; 4 4 4 4 4 4; ...\r\n5 5 5 5 5 5];\r\nassert(isequal(safety_map(6,2,3),y_correct))\r\n%%\r\ny_correct = [2 2;2 1];\r\nassert(isequal(safety_map(2,2,2),y_correct))\r\n%%\r\ny_correct = [9 8 7 6 5 4 3 2 1 2; ...\r\n9 8 7 6 5 4 3 2 2 2; 9 8 7 6 5 4 3 3 3 3; ...\r\n9 8 7 6 5 4 4 4 4 4; 9 8 7 6 5 5 5 5 5 5; ...\r\n9 8 7 6 6 6 6 6 6 6; 9 8 7 7 7 7 7 7 7 7; ...\r\n9 8 8 8 8 8 8 8 8 8; 9 9 9 9 9 9 9 9 9 9; ...\r\n10 10 10 10 10 10 10 10 10 10];\r\nassert(isequal(safety_map(10,1,9),y_correct))\r\n%%\r\ny_correct = 1;\r\nassert(isequal(safety_map(1,1,1),y_correct))\r\n%%\r\ny_correct = [4 3 2 2; ...\r\n4 3 2 1; 4 3 2 2; 4 3 3 3];\r\nassert(isequal(safety_map(4,2,4),y_correct))\r\n%%\r\ny_correct = [2 1;2 2];\r\nassert(isequal(safety_map(2,1,2),y_correct))\r\n%%\r\ny_correct = [4 4 4 4 4 4 4; 4 3 3 3 3 3 4; ...\r\n4 3 2 2 2 3 4; 4 3 2 1 2 3 4; 4 3 2 2 2 3 4; ...\r\n4 3 3 3 3 3 4; 4 4 4 4 4 4 4];\r\nassert(isequal(safety_map(7,4,4),y_correct))\r\n%%\r\ny_correct = [10 10 10 10 10 10 10 10 10 10; ...\r\n10 9 9 9 9 9 9 9 9 9; 10 9 8 8 8 8 8 8 8 8; ...\r\n10 9 8 7 7 7 7 7 7 7; 10 9 8 7 6 6 6 6 6 6; ...\r\n10 9 8 7 6 5 5 5 5 5; 10 9 8 7 6 5 4 4 4 4; ...\r\n10 9 8 7 6 5 4 3 3 3; 10 9 8 7 6 5 4 3 2 2; ...\r\n10 9 8 7 6 5 4 3 2 1];\r\nassert(isequal(safety_map(10,10,10),y_correct))\r\n%%\r\ny_correct = [3 3 3; 2 2 3; 1 2 3];\r\nassert(isequal(safety_map(3,3,1),y_correct))\r\n%%\r\ny_correct = [2 1 2; 2 2 2; 3 3 3];\r\nassert(isequal(safety_map(3,1,2),y_correct))\r\n","published":true,"deleted":false,"likes_count":7,"comments_count":1,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":90,"test_suite_updated_at":"2020-03-27T15:28:42.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-27T15:22:51.000Z","updated_at":"2026-03-31T14:20:57.000Z","published_at":"2020-03-27T15:22:51.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe sole nuclear power plant at Grid City suddenly had a meltdown. Luckily, the plant was designed to be in full automation, so no casualties were ever recorded. However, thanks to radiation, the whole city is inhabitable for close to a century.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are then given a portion of the map of Grid City which, for the purpose of this problem, is rendered as an N x N matrix. As the name suggests, Grid City is made of a grid of cells. Your task is to assign a safety level to each cell in this matrix, according to the following 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=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAssign\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\u003eSafety Level 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to the cell location of the nuclear power plant, given at row R and column C. This signifies that cell (R,C) is least safe.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAssign\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\u003eSafety Level 2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to the adjacent cells around the power plant, signifying a safer radiation level in this area.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eContinue assigning an increasing number of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eSafety Levels\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e at succeeding layers of cells surrounding the power plant until you reach the edge of the map.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts three inputs, N, R, and C, and outputs a matrix map of Grid City with\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\u003eSafety Levels\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Note that you can use any method of populating the matrix as long as it gives the correct answer. You are also ensured that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eN, R, C are all integers\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1 \u0026lt;= N \u0026lt;= 10\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1 \u0026lt;= R \u0026lt;= N and 1 \u0026lt;= C \u0026lt;= N\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eHere are a few examples:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e safety_map(5,5,4) % N = 5, R = 5, C = 4\\nans =\\n\\n 5 5 5 5 5\\n 4 4 4 4 4\\n 4 3 3 3 3\\n 4 3 2 2 2\\n 4 3 2 1 2\\n\u003e\u003e safety_map(6,2,3) % N = 6, R = 2, C = 3\\nans =\\n\\n 3 2 2 2 3 4\\n 3 2 1 2 3 4\\n 3 2 2 2 3 4\\n 3 3 3 3 3 4\\n 4 4 4 4 4 4\\n 5 5 5 5 5 5]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45500,"title":"Maximize the production in a plant within equipment capacity","description":"The goal of a certain manufacturing company is to maximize its production of goods per day. In the production flow, there is a single source of raw materials, denoted by _Point 1_, and a single point where all the finished goods are collected, denoted by _Point N_. Between them are _(N-2)_ other _Points_ where the materials are flowing. \r\n\r\nThe details of the production flow is given as a matrix *P* of size [ _K_ x 3]. Each row in *P* represents a piece of processing equipment between two _Points_. The _i_-th row in this matrix is read as follows: \"Goods are processed from _Point *P*(i, 1)_ to _Point *P*(i, 2)_ through an equipment with a maximum capacity of *P*( _i_, 3) goods per day.\" \r\n\r\nAlthough it is desired to produce as many goods as possible, we are limited by the capacity of each equipment in the production. Some equipment can process more goods than others. Given the maximum capacities of all the equipment, can you determine the maximum number of finished goods that can be produced per day? \r\n\r\nWrite a function that takes matrix *P* as input. Output the required maximum number of goods that can be produced for a day such that none of the equipment capacities from _Point 1_ to _Point N_ are exceeded. You are ensured that:\r\n\r\n* 3 \u003c= _N_ \u003c= 50 and 2 \u003c= _K_ \u003c= 200\r\n* For all _i_, *P*( _i_, 1) \u003c *P*( _i_, 2). \r\n* All _N Points_ are mentioned at least once in *P*. Hence, _N_ can be inferred from *P*.\r\n* All elements of *P* are integers, and 1 \u003c= *P*( _i_, 3) \u003c= 100.\r\n\r\nSee sample test case:\r\n\r\n \u003e\u003e P = [1 2 10;\r\n 1 3 6 ;\r\n 2 3 15;\r\n 2 4 5 ;\r\n 3 4 10;\r\n 3 5 3 ; \r\n 4 5 8];\r\n\u003e\u003e max_production(P)\r\nans = \r\n 11\r\n\r\nThis test case is illustrated in: \u003chttps://drive.google.com/open?id=13yoze4dLKlK__NAkialQmvjtjcs66aDr\u003e\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 980px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 490px; transform-origin: 407px 490px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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=\"\"\u003eThe goal of a certain manufacturing company is to maximize its production of goods per day. In the production flow, there is a single source of raw materials, denoted by\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint 1\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, and a single point where all the finished goods are collected, denoted by\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint N\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Between them are\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e(N-2)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e other\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoints\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e where the materials are flowing.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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=\"\"\u003eThe details of the production flow is given as a matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of size [\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eK\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e x 3]. Each row in\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e represents a piece of processing equipment between two\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoints\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. The\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e-th row in this matrix is read as follows: \"Goods are processed from\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e(i, 1)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e to\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e(i, 2)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e through an equipment with a maximum capacity 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, 3) goods per day.\"\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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=\"\"\u003eAlthough it is desired to produce as many goods as possible, we are limited by the capacity of each equipment in the production. Some equipment can process more goods than others. Given the maximum capacities of all the equipment, can you determine the maximum number of finished goods that can be produced per day?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e as input. Output the required maximum number of goods that can be produced for a day such that none of the equipment capacities from\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint 1\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e to\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint N\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are exceeded. You are ensured that:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 80px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 40px; transform-origin: 391px 40px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e3 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 50 and 2 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\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; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 200\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor all\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, 1) \u0026lt;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, 2).\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAll\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN Points\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are mentioned at least once in\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Hence,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e can be inferred from\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAll elements of\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are integers, and 1 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, 3) \u0026lt;= 100.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eSee sample test case:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 200px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 100px; transform-origin: 404px 100px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; P = [1 2 10;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 1 3 6 ;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 2 3 15;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 2 4 5 ;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 3 4 10;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 3 5 3 ; \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 4 5 8];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; max_production(P)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 11\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eThis test case is illustrated below:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 343.6px; 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 171.8px; text-align: left; transform-origin: 384px 171.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"600\" height=\"338\" style=\"vertical-align: baseline;width: 600px;height: 338px\" 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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = max_production(P)\r\n \r\nend","test_suite":"%%\r\nfiletext = fileread('max_production.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nP = [1 2 10; 1 3 6; 2 3 15; 2 4 5; 3 4 10; 3 5 3; 4 5 8];\r\nassert(isequal(max_production(P),11))\r\n%%\r\nP = [4 8 57; 2 6 92; 2 7 97; 6 8 39; 3 8 25; ...\r\n2 8 50; 6 8 18; 1 2 25; 1 3 94; 1 4 35; ...\r\n1 5 67; 5 8 29; 7 8 87; ];\r\nassert(isequal(max_production(P),114))\r\n%%\r\nP = [1 2 1; 2 3 5];\r\nassert(isequal(max_production(P),1))\r\n%%\r\nP = [7 8 85; 4 5 7; 6 7 49; 3 10 70; 6 9 13; ...\r\n5 8 77; 7 9 27; 8 9 57; 2 3 1; 9 10 59; ...\r\n8 9 55; 8 10 19; 9 10 92; 2 9 11; 6 9 67; ...\r\n1 2 88; 1 4 65; 1 6 71; ];\r\nassert(isequal(max_production(P),90))\r\n%%\r\nP = [3 7 83; 2 8 19; 5 6 58; 6 9 65; 5 6 12; ...\r\n4 5 88; 4 9 75; 9 10 54; 3 7 81; 4 9 57; ...\r\n5 10 72; 6 10 19; 6 10 13; 7 9 85; 9 10 95; ...\r\n1 2 37; 1 3 88; 1 4 71; 8 10 8; ];\r\nassert(isequal(max_production(P),164))\r\n%%\r\nP = [12 15 73; 13 17 45; 11 14 14; 4 5 99; 2 11 1; ...\r\n5 13 3; 2 15 57; 7 11 15; 12 16 44; 4 7 65; ...\r\n16 17 20; 4 9 53; 12 13 40; 14 15 48; 9 17 77; ...\r\n1 2 21; 1 3 14; 1 4 71; 1 6 61; 1 8 4; ...\r\n1 10 4; 1 12 2; 3 17 41; 6 17 42; 8 17 91; ...\r\n10 17 92; 15 17 33; ];\r\nassert(isequal(max_production(P),155))\r\n%%\r\nP = [17 38 41; 25 30 72; 11 26 54; 17 34 32; 36 37 21; ...\r\n3 30 18; 16 24 10; 35 38 19; 10 22 24; 34 36 99; ...\r\n22 34 82; 32 38 99; 24 32 54; 12 34 85; 24 38 84; ...\r\n12 17 40; 5 9 9; 6 23 79; 26 38 77; 19 24 14; ...\r\n29 32 98; 35 37 94; 22 25 20; 22 37 59; 24 36 28; ...\r\n11 36 41; 22 33 65; 19 31 66; 6 8 49; 3 10 1; ...\r\n14 15 53; 26 27 60; 19 22 7; 18 39 64; 14 20 8; ...\r\n31 34 47; 7 31 68; 34 37 15; 19 30 66; 25 29 62; ...\r\n16 37 46; 36 38 68; 37 39 31; 3 10 68; 36 38 34; ...\r\n22 31 77; 23 34 53; 18 37 33; 38 39 100; 16 18 47; ...\r\n27 36 1; 35 36 55; 19 32 52; 12 15 36; 13 25 56; ...\r\n1 2 69; 1 3 16; 1 4 55; 1 5 37; 1 6 27; ...\r\n1 7 80; 1 11 17; 1 12 5; 1 13 6; 1 14 34; ...\r\n1 16 33; 1 19 69; 1 21 36; 1 28 85; 1 35 67; ...\r\n2 39 42; 4 39 65; 8 39 75; 9 39 40; 15 39 32; ...\r\n20 39 25; 21 39 58; 28 39 79; 30 39 47; 33 39 85];\r\nassert(isequal(max_production(P),521))\r\n%%\r\nP = [6 7 31; 4 6 5; 2 4 99; 3 5 29; 6 7 60; ...\r\n5 6 31; 6 7 34; 6 7 100; 3 6 98; 3 7 89; ...\r\n3 7 16; 5 7 79; 5 6 97; 5 7 21; 2 4 7; ...\r\n2 4 47; 2 6 74; 5 7 64; 3 6 96; 6 7 25; ...\r\n3 4 42; 3 7 57; 4 6 47; 5 7 99; 3 4 78; ...\r\n3 7 7; 4 5 22; 2 4 13; 6 7 55; 6 7 43; ...\r\n5 6 37; 4 6 12; 2 7 75; 4 5 14; 5 6 16; ...\r\n6 7 61; 2 5 97; 3 6 78; 2 5 69; 3 4 17; ...\r\n3 7 15; 4 5 87; 4 6 72; 4 6 73; 4 5 8; ...\r\n6 7 49; 6 7 23; 3 5 99; 6 7 92; 5 7 15; ...\r\n5 6 21; 6 7 54; 3 4 38; 6 7 19; 4 5 70; ...\r\n4 5 30; 5 6 67; 5 7 71; 4 5 11; 4 6 34; ...\r\n5 7 39; 3 4 6; 3 5 77; 5 6 24; 4 7 76; ...\r\n3 7 59; 2 3 65; 6 7 21; 6 7 62; 2 6 64; ...\r\n3 4 86; 4 5 34; 2 7 1; 6 7 66; 6 7 39; ...\r\n5 7 65; 2 5 75; 3 7 7; 6 7 9; 5 7 51; ...\r\n2 5 77; 2 4 25; 3 7 31; 3 7 77; 4 6 10; ...\r\n6 7 47; 2 5 62; 3 6 3; 6 7 47; 3 7 17; ...\r\n3 6 37; 6 7 86; 4 6 99; 3 6 19; 4 7 25; ...\r\n1 2 68; ];\r\nassert(isequal(max_production(P),68))\r\n%%\r\nP = [7 8 54; 6 8 26; 5 12 88; 6 9 96; 3 6 92; ...\r\n9 11 22; 9 11 47; 5 6 28; 5 11 4; 12 13 83; ...\r\n1 2 2; 1 3 85; 1 4 97; 1 5 45; 1 7 21; ...\r\n1 10 33; 2 13 88; 4 13 33; 8 13 75; 10 13 88; ...\r\n11 13 46; ];\r\nassert(isequal(max_production(P),206))\r\n%%\r\nP = [7 21 22; 25 32 3; 26 40 47; 6 15 8; 9 10 89; ...\r\n22 30 83; 38 39 24; 30 37 87; 4 10 47; 25 31 77; ...\r\n24 25 38; 20 38 22; 26 36 27; 30 37 89; 15 23 70; ...\r\n26 31 22; 39 40 56; 4 17 45; 13 38 30; 4 12 25; ...\r\n10 35 40; 19 38 1; 2 12 40; 35 36 63; 5 15 15; ...\r\n29 34 28; 34 39 91; 26 31 4; 37 40 2; 26 38 15; ...\r\n38 40 94; 25 27 54; 21 29 40; 15 30 18; 24 40 42; ...\r\n17 26 51; 25 27 43; 27 28 53; 38 39 28; 33 40 39; ...\r\n4 12 35; 35 40 73; 36 40 52; 21 27 72; 25 38 23; ...\r\n12 38 87; 8 9 72; 29 33 85; 1 2 27; 1 3 90; ...\r\n1 4 82; 1 5 99; 1 6 59; 1 7 92; 1 8 1; ...\r\n1 11 13; 1 13 97; 1 14 52; 1 16 6; 1 18 83; ...\r\n1 19 74; 1 20 48; 1 22 54; 1 24 2; 3 40 5; ...\r\n11 40 51; 14 40 64; 16 40 88; 18 40 63; 23 40 67; ...\r\n28 40 78; 31 40 19; 32 40 40; ];\r\nassert(isequal(max_production(P),351))\r\n%%\r\nP = [11 12 99; 6 10 54; 13 14 84; 13 14 60; 2 13 56; ...\r\n7 8 6; 5 9 8; 2 5 99; 4 8 93; 12 13 30; ...\r\n9 10 12; 11 13 8; 6 12 44; 10 12 11; 3 11 59; ...\r\n3 10 79; 2 9 80; 5 6 48; 8 11 23; 4 5 55; ...\r\n12 14 2; 7 9 99; 9 14 75; 7 13 50; 6 7 42; ...\r\n7 13 25; 3 5 14; 11 13 46; 5 12 71; 9 13 10; ...\r\n2 13 26; 5 11 51; 3 8 47; 6 13 54; 13 14 67; ...\r\n8 10 84; 7 8 61; 6 8 8; 11 14 97; 10 13 44; ...\r\n5 6 24; 11 13 25; 6 12 46; 2 7 53; 6 10 50; ...\r\n6 13 57; 13 14 53; 12 13 46; 12 13 12; 5 14 87; ...\r\n10 14 84; 3 14 48; 2 6 98; 8 11 23; 13 14 67; ...\r\n13 14 9; 11 12 92; 7 9 97; 4 9 13; 8 14 36; ...\r\n2 7 20; 9 12 23; 3 12 43; 4 8 17; 3 10 51; ...\r\n3 10 58; 3 6 35; 6 7 75; 5 14 81; 10 11 62; ...\r\n3 13 39; 6 14 3; 13 14 26; 9 14 64; 5 13 57; ...\r\n13 14 22; 5 13 21; 8 9 98; 2 14 80; 1 2 39; ...\r\n1 3 95; 1 4 36; ];\r\nassert(isequal(max_production(P),170))\r\n%%\r\nP = [8 22 11; 22 25 95; 13 25 20; 31 38 80; 9 17 12; ...\r\n12 21 11; 22 28 50; 38 40 9; 7 23 94; 10 36 52; ...\r\n24 25 12; 32 38 30; 28 37 66; 22 23 93; 17 24 37; ...\r\n30 37 57; 22 34 70; 6 40 44; 27 28 81; 3 39 92; ...\r\n38 41 98; 34 36 66; 18 19 72; 31 32 51; 28 41 7; ...\r\n6 8 93; 9 31 84; 8 33 72; 14 18 24; 19 21 93; ...\r\n4 7 84; 10 36 68; 11 17 100; 35 41 21; 19 33 56; ...\r\n25 29 49; 20 28 98; 19 26 2; 39 40 13; 30 31 75; ...\r\n32 33 28; 26 29 41; 34 35 66; 16 32 14; 8 12 66; ...\r\n15 22 36; 27 34 61; 14 38 77; 35 40 62; 33 41 36; ...\r\n12 20 92; 23 35 36; 17 25 25; 5 40 13; 36 37 16; ...\r\n29 35 76; 27 39 37; 2 26 1; 28 41 83; 37 38 60; ...\r\n40 41 57; 16 39 83; 26 38 89; 23 38 53; 40 41 12; ...\r\n23 26 60; 25 35 86; 15 27 6; 25 33 5; 12 41 85; ...\r\n26 39 3; 12 22 2; 24 26 25; 22 31 52; 30 31 20; ...\r\n21 30 68; 29 37 5; 40 41 45; 12 18 52; 9 38 98; ...\r\n4 14 8; 37 38 100; 14 35 26; 35 40 94; 32 35 59; ...\r\n29 32 75; 36 40 67; 29 35 52; 28 29 22; 4 26 72; ...\r\n25 27 44; 10 39 80; 15 35 21; 28 37 23; 5 10 54; ...\r\n17 29 43; 39 40 71; 23 33 100; 39 41 90; 1 2 29; ...\r\n1 3 27; 1 4 46; 1 5 19; 1 6 46; 1 9 12; ...\r\n1 11 83; 1 13 99; 1 15 71; 1 16 84; ];\r\nassert(isequal(max_production(P),401))\r\n%%\r\nP = [5 8 43; 7 18 63; 15 18 77; 8 14 16; 2 11 29; ...\r\n16 18 42; 4 11 11; 10 12 35; 7 17 18; 4 13 23; ...\r\n13 18 12; 7 16 79; 8 16 32; 10 18 74; 5 8 80; ...\r\n3 14 14; 13 15 75; 17 18 32; 9 14 93; 11 12 49; ...\r\n6 11 50; 14 16 55; 13 16 18; 17 18 75; 13 17 60; ...\r\n11 12 32; 4 12 62; 16 17 95; 13 17 57; 11 16 11; ...\r\n7 9 43; 4 17 37; 9 13 73; 9 12 30; 13 17 45; ...\r\n4 5 24; 8 16 22; 15 16 75; 8 16 71; 6 9 20; ...\r\n15 18 3; 15 18 91; 4 8 97; 8 15 45; 11 15 100; ...\r\n6 17 29; 9 12 45; 4 18 73; 13 16 40; 15 18 88; ...\r\n1 2 55; 1 3 63; 1 4 50; 1 6 53; 1 7 31; ...\r\n1 10 85; 12 18 29; ];\r\nassert(isequal(max_production(P),262))\r\n%%\r\nP = [9 11 51; 7 10 43; 2 10 62; 8 9 98; 5 10 94; ...\r\n4 8 76; 10 11 33; 4 5 69; 10 11 1; 3 7 87; ...\r\n7 9 42; 3 4 2; 9 10 70; 8 11 96; 7 9 89; ...\r\n5 6 96; 7 9 20; 9 10 75; 6 11 2; 9 10 78; ...\r\n1 2 63; 1 3 10; ];\r\nassert(isequal(max_production(P),44))\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":2,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":18,"test_suite_updated_at":"2020-05-07T02:07:26.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-05-06T23:22:23.000Z","updated_at":"2025-12-05T00:10:28.000Z","published_at":"2020-05-07T02:07:26.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe goal of a certain manufacturing company is to maximize its production of goods per day. In the production flow, there is a single source of raw materials, denoted by\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\u003ePoint 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and a single point where all the finished goods are collected, denoted by\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\u003ePoint N\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Between them are\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e(N-2)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e other\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\u003ePoints\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e where the materials are flowing.\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 details of the production flow is given as a matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of size [\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 x 3]. Each row in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e represents a piece of processing equipment between two\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\u003ePoints\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-th row in this matrix is read as follows: \\\"Goods are processed from\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\u003ePoint\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e(i, 1)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ePoint\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e(i, 2)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e through an equipment with a maximum capacity of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 3) goods per day.\\\"\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\u003eAlthough it is desired to produce as many goods as possible, we are limited by the capacity of each equipment in the production. Some equipment can process more goods than others. Given the maximum capacities of all the equipment, can you determine the maximum number of finished goods that can be produced per day?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e as input. Output the required maximum number of goods that can be produced for a day such that none of the equipment capacities from\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\u003ePoint 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ePoint N\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are exceeded. You are ensured that:\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\u003e3 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 50 and 2 \u0026lt;=\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 \u0026lt;= 200\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\u003eFor all\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 1) \u0026lt;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 2).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAll\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN Points\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are mentioned at least once in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Hence,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e can be inferred from\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAll elements of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are integers, and 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 3) \u0026lt;= 100.\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\u003eSee sample test case:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e P = [1 2 10;\\n 1 3 6 ;\\n 2 3 15;\\n 2 4 5 ;\\n 3 4 10;\\n 3 5 3 ; \\n 4 5 8];\\n\u003e\u003e max_production(P)\\nans = \\n 11]]\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\u003eThis test case is illustrated below:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"338\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"600\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" 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corrosion on a metal plate: Count the number of pits","description":"You are given an N x M matrix of _ones_ and _zeros_, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The _ones_ denote areas where the plate has corroded visibly, whereas _zeros_ are areas where the metal is still in good condition. The *corroded areas* (the matrix elements with _ones_) can be found at multiple points on the metal plate. \r\n\r\nA collection of *corroded areas* that are next to each other is called a _pit_. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\r\n\r\nFor this problem, a _pit_ is defined more clearly as follows: Two *corroded areas* at [row _R1_, column _C1_] and [row _R2_, column _C2_] belong to the _same pit_ if and only if |max(abs(R1-R2),abs(C1-C2)) \u003c= 1|. In other words, if two *corroded areas* are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\r\n\r\nWrite a function that accepts a matrix X denoting the image in question. Output the number of distinct separate pits found in this image. You are ensured that the size of the matrix is constrained at 1 \u003c= N \u003c= 20 and 1 \u003c= M \u003c= 20.\r\n\r\nAs an example, consider the following 10 x 10 image (left). The *corroded areas* that belong to the same pit are then labeled, showing that there are 5 distinct separate pits (right).\r\n\r\n Sample test case:\r\n X = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\r\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\r\n There are 5 pits in this image.\r\n\r\n\r\n","description_html":"\u003cp\u003eYou are given an N x M matrix of \u003ci\u003eones\u003c/i\u003e and \u003ci\u003ezeros\u003c/i\u003e, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The \u003ci\u003eones\u003c/i\u003e denote areas where the plate has corroded visibly, whereas \u003ci\u003ezeros\u003c/i\u003e are areas where the metal is still in good condition. The \u003cb\u003ecorroded areas\u003c/b\u003e (the matrix elements with \u003ci\u003eones\u003c/i\u003e) can be found at multiple points on the metal plate.\u003c/p\u003e\u003cp\u003eA collection of \u003cb\u003ecorroded areas\u003c/b\u003e that are next to each other is called a \u003ci\u003epit\u003c/i\u003e. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\u003c/p\u003e\u003cp\u003eFor this problem, a \u003ci\u003epit\u003c/i\u003e is defined more clearly as follows: Two \u003cb\u003ecorroded areas\u003c/b\u003e at [row \u003ci\u003eR1\u003c/i\u003e, column \u003ci\u003eC1\u003c/i\u003e] and [row \u003ci\u003eR2\u003c/i\u003e, column \u003ci\u003eC2\u003c/i\u003e] belong to the \u003ci\u003esame pit\u003c/i\u003e if and only if \u003ctt\u003emax(abs(R1-R2),abs(C1-C2)) \u0026lt;= 1\u003c/tt\u003e. In other words, if two \u003cb\u003ecorroded areas\u003c/b\u003e are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\u003c/p\u003e\u003cp\u003eWrite a function that accepts a matrix X denoting the image in question. Output the number of distinct separate pits found in this image. You are ensured that the size of the matrix is constrained at 1 \u0026lt;= N \u0026lt;= 20 and 1 \u0026lt;= M \u0026lt;= 20.\u003c/p\u003e\u003cp\u003eAs an example, consider the following 10 x 10 image (left). The \u003cb\u003ecorroded areas\u003c/b\u003e that belong to the same pit are then labeled, showing that there are 5 distinct separate pits (right).\u003c/p\u003e\u003cpre\u003e Sample test case:\r\n X = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\r\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\r\n There are 5 pits in this image.\u003c/pre\u003e","function_template":"function y = count_pits(X)\r\n y = X;\r\nend","test_suite":"%%\r\nfiletext = fileread('count_pits.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\n%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(count_pits(x),y_correct))\r\n%%\r\nx = 0;\r\ny_correct = 0;\r\nassert(isequal(count_pits(x),y_correct))\r\n%%\r\nx = [1 0 1 0 1];\r\ny_correct = 3;\r\nassert(isequal(count_pits(x),y_correct))\r\n%%\r\nx = [0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 1 1 0\r\n 0 0 0 1 0 0 0 1 1 0\r\n 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 1 0 0\r\n 0 0 0 1 0 0 0 1 1 0\r\n 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 1 1 0 0 0 0];\r\nassert(isequal(count_pits(x),5))\r\n%%\r\nx = [ 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0\r\n0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 0 0 0 0\r\n0 1 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0\r\n0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1\r\n0 1 1 0 0 1 0 1 0 0 0 0 0 0 1 1 0 0 0 0\r\n0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1\r\n0 0 0 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0\r\n0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0\r\n1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0\r\n0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0\r\n0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0\r\n0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0\r\n0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 1\r\n0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0\r\n1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0\r\n1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0\r\n0 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 1 1 0 0\r\n0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 1 0 0\r\n0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0];\r\nassert(isequal(count_pits(x),26))\r\n%%\r\nx = [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0\r\n 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 1 1 1 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 1 1 1 1 0 0 1 0\r\n 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1\r\n 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0];\r\nassert(isequal(count_pits(x),25))\r\n%%\r\nx = [1 0 1 0 1 0 0 1\r\n 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 1 0\r\n 0 0 0 1 1 1 0 1\r\n 0 0 0 0 1 0 0 0];\r\nassert(isequal(count_pits(x),5))\r\n%%\r\nx = eye(20);\r\nassert(isequal(count_pits(x),1))\r\n%%\r\nx = [1 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0\r\n 1 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0\r\n 0 0 1 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 1\r\n 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0];\r\nassert(isequal(count_pits(x),9))\r\n%%\r\nx = [0 0 0 1 0 0 0 0 0 1 0 1 1 0 0\r\n 0 0 0 1 0 0 0 0 0 1 1 1 0 0 1\r\n 0 1 0 0 0 1 0 0 1 0 1 0 0 0 0\r\n 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1\r\n 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1\r\n 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0\r\n 0 1 0 0 0 1 1 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1\r\n 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1];\r\nassert(isequal(count_pits(x),19))\r\n%%\r\nx = [0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 1 1\r\n 0 1 0 0 1 0 0 0 0 1 0 1 0 0 1 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 1\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 1 0 1 1\r\n 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0\r\n 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 1 1 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 1\r\n 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0\r\n 0 1 1 0 1 0 0 1 0 1 0 1 0 1 0 0 0 0 0 1\r\n 1 0 0 1 0 0 0 0 0 0 1 1 0 1 1 0 0 0 0 0\r\n 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1\r\n 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0];\r\nassert(isequal(count_pits(x),21))\r\n%%\r\nx = repmat([0 1;1 0],5,7);\r\nassert(isequal(count_pits(x),1))\r\n%%\r\nx = repmat([0 1;0 0],5,7);\r\nassert(isequal(count_pits(x),35))\r\n%%\r\nx = [0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 1 0 1 0 1 1 0 0 1 0 1 1 0\r\n 0 0 0 1 0 1 0 1 0 0 1 1 0 1 0 1 1\r\n 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 1\r\n 1 0 0 1 0 0 0 1 1 1 0 1 0 0 0 0 0\r\n 1 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0\r\n 0 0 0 0 0 1 1 0 1 1 1 0 0 0 1 1 0\r\n 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0\r\n 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 1 1\r\n 1 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 1\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0\r\n 1 0 0 1 1 0 0 0 1 0 0 1 0 0 1 0 0\r\n 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0\r\n 0 0 0 0 0 1 1 1 0 0 0 1 0 0 1 1 0\r\n 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0\r\n 0 0 1 1 0 0 0 0 1 0 0 1 0 0 0 0 0\r\n 0 1 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0\r\n 0 1 0 0 0 1 0 0 0 1 1 0 1 0 0 1 0];\r\nassert(isequal(count_pits(x),15))\r\n%%\r\nx = [0 0 1 1 1 0 1 0 0 1 0 0 0 0 0 0\r\n 0 0 1 0 1 0 1 1 0 0 0 0 0 0 1 0\r\n 0 1 0 1 1 1 1 0 1 0 0 0 1 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1\r\n 0 1 0 1 0 0 1 0 0 1 0 0 0 0 0 0\r\n 0 1 0 1 1 1 0 0 1 1 0 0 0 0 1 0\r\n 0 0 0 0 0 0 1 1 1 1 0 0 0 0 1 1\r\n 0 1 0 1 0 0 1 0 0 1 0 1 1 1 0 0\r\n 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 1\r\n 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0];\r\nassert(isequal(count_pits(x),13))\r\n%%\r\nx = zeros(5);\r\nassert(isequal(count_pits(x),0))\r\n%%\r\nx = [ 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1\r\n 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1\r\n 1 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0\r\n 1 0 0 1 0 0 0 0 1 1 0 0 0 1 0 1 0 0 0 0\r\n 1 1 0 1 0 0 1 0 0 0 1 1 0 0 0 1 1 1 0 1\r\n 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1\r\n 0 0 0 0 1 1 1 0 0 0 0 1 0 0 0 0 1 0 1 1\r\n 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1 1 0 0 0 1\r\n 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0 1 0 0 1 0\r\n 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 1 1\r\n 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 1 0\r\n 1 0 0 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 0 1\r\n 1 1 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0\r\n 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 0 1 0 0 1\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 1\r\n 0 1 0 1 0 1 1 0 0 0 1 1 0 0 0 0 1 0 0 0\r\n 1 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1 1 0 1 0\r\n 0 0 1 0 1 0 0 0 0 1 0 0 0 1 1 1 0 0 0 0\r\n 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0\r\n 1 0 0 1 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0];\r\nassert(isequal(count_pits(x),24))\r\n%%\r\nx = [0 1 0 1 1 1 0 0 0 1 0 0 1 0 0 1 1 0 0 1\r\n 0 0 0 1 1 1 0 1 1 1 0 0 0 0 1 1 1 0 0 0\r\n 0 1 0 1 1 0 0 1 1 1 0 1 1 0 1 1 1 0 0 0\r\n 1 1 1 0 1 1 1 0 1 1 0 0 1 0 1 1 0 1 1 0\r\n 1 0 0 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 0\r\n 1 0 1 1 1 0 0 0 0 1 1 1 1 1 1 0 0 1 0 1\r\n 1 1 0 1 1 1 0 1 0 1 1 0 0 0 0 1 1 0 1 0\r\n 0 1 0 1 1 0 1 0 0 0 1 0 0 0 1 0 1 0 0 1\r\n 1 0 1 1 1 0 0 0 1 1 0 1 0 1 1 1 1 1 0 0\r\n 0 0 0 1 1 0 0 0 1 0 1 1 1 1 0 0 0 0 1 0\r\n 0 0 1 1 0 1 1 1 1 0 1 0 0 0 0 0 1 1 1 1\r\n 1 0 1 1 1 1 1 1 1 1 1 0 1 1 0 0 1 1 0 1\r\n 1 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 1 1\r\n 0 1 1 1 1 1 0 0 1 1 1 1 1 1 0 1 0 0 1 0\r\n 1 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 1 1 0 0\r\n 1 0 0 1 0 1 1 1 1 1 0 1 0 0 0 0 0 0 1 1\r\n 0 0 0 0 1 1 1 0 1 0 0 0 1 0 0 1 0 1 1 0\r\n 0 1 1 1 1 0 1 1 1 0 1 0 0 1 0 1 1 0 1 1\r\n 0 0 0 0 1 1 0 0 0 1 1 0 1 0 1 1 1 0 1 1\r\n 1 1 1 0 0 0 1 0 0 0 0 1 0 0 1 0 1 1 1 0];\r\nassert(isequal(count_pits(x),5))\r\n%%\r\nx = [ 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0\r\n 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 1 0 0\r\n 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0\r\n 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\nassert(isequal(count_pits(x),30))","published":true,"deleted":false,"likes_count":5,"comments_count":1,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":25,"test_suite_updated_at":"2020-04-09T23:46:12.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-09T15:04:42.000Z","updated_at":"2025-11-23T15:32:51.000Z","published_at":"2020-04-09T19:48:23.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are given an N x M matrix of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ezeros\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e denote areas where the plate has corroded visibly, whereas\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\u003ezeros\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are areas where the metal is still in good condition. The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (the matrix elements with\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\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) can be found at multiple points on the metal plate.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA collection of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that are next to each other is called a\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\u003epit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, a\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\u003epit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is defined more clearly as follows: Two\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e at [row\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\u003eR1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, column\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\u003eC1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e] and [row\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\u003eR2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, column\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\u003eC2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e] belong to the\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003esame pit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e if and only if\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emax(abs(R1-R2),abs(C1-C2)) \u0026lt;= 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. In other words, if two\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts a matrix X denoting the image in question. Output the number of distinct separate pits found in this image. You are ensured that the size of the matrix is constrained at 1 \u0026lt;= N \u0026lt;= 20 and 1 \u0026lt;= M \u0026lt;= 20.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAs an example, consider the following 10 x 10 image (left). The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that belong to the same pit are then labeled, showing that there are 5 distinct separate pits (right).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[ Sample test case:\\n X = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\\n There are 5 pits in this image.]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45509,"title":"List the households affected by leaks in water distribution ","description":"Consider the following water distribution network, where water is pumped uni-directionally from left to right:\r\n\r\n 8\r\n /\r\n 2 ---- 9 13 24 ---- 25\r\n / \\ / / \r\n / 7 12 ---- 23\r\n / 6 / \\ 22\r\n0 ---- 1 / / 14 /\r\n \\ 4 ---- 11 /\r\n \\ / \\ 17 ---- 19 ---- 21\r\n 3 \\ / \\ \\\r\n \\ 10 ---- 15 18 \\\r\n 5 \\ 20\r\n 16\r\n\r\nThe network consists of: (1) a single source station; (2) pumping stations; and, (3) households / end-users. The source station is Node 0. _Pumping stations_ are nodes that lead water to more nodes downstream. In the example, the pumping stations are Nodes 1, 2, 3, 4, 10, 11, 12, 15, 17, 19, 23, 24. Meanwhile, _households_ are nodes that do not lead to any more nodes downstream. In the example, the households are Nodes 5, 6, 7, 8, 9, 13, 14, 16, 18, 20, 21, 22, 25.\r\n\r\n\r\nIf there is a leak at any node, then all the nodes downstream from that node will be affected, including itself. For instance, if Node 17 has leaked, then Nodes 17-22 are all affected. Among these, Nodes 18, 20-21 are households. Given *P*, can you list all the households that are affected by a leak in Node *P*?\r\n\r\nWrite a function that accepts a vector *X*, which is a row vector of length *N*, and a scalar *P*. The *X* represents the water distribution network, read as follows: Node *X*( _i_ ) is a _direct_ downstream water distributor to Node _i_, for 1 \u003c= _i_ \u003c= *N*. Given *X* and *P*, output a row vector listing all affected households, _sorted in increasing order_.\r\n\r\nFor instance, the above example will be represented as:\r\n\r\n i = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25\r\n X = [0 1 1 3 3 4 2 2 2 4 4 11 12 12 10 15 15 17 17 19 19 19 12 23 24]\r\n\r\nPlease take the time to verify the elements of *X*. Using this *X*, sample test cases are given below:\r\n\r\n \u003e\u003e water_loss(X,2)\r\n ans = \r\n 7 8 9\r\n\u003e\u003e water_loss(X,10)\r\nans =\r\n 16 18 20 21 22\r\n\u003e\u003e water_loss(X,23)\r\nans =\r\n 25\r\n\u003e\u003e water_loss(X,13)\r\nans =\r\n 13\r\n\r\nYou are ensured that:\r\n\r\n* 2 \u003c= *N* \u003c= 400 and 1 \u003c= *P* \u003c= *N*\r\n* *X*( _i_ ) \u003c _i_, for _i_ = [1, *N*]\r\n* *X*( _i_ ) \u003e 0, for _i_ = [2, *N*]","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 988.2px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 494.1px; transform-origin: 407px 494.1px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eConsider the following water distribution network, where water is pumped uni-directionally from left to right:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 260px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 130px; transform-origin: 404px 130px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 8\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e /\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 2 ---- 9 13 24 ---- 25\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e / \\ / / \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e / 7 12 ---- 23\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e / 6 / \\ 22\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e0 ---- 1 / / 14 /\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \\ 4 ---- 11 /\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \\ / \\ 17 ---- 19 ---- 21\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 3 \\ / \\ \\\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \\ 10 ---- 15 18 \\\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 5 \\ 20\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 16\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 41.6px; text-align: left; transform-origin: 384px 41.6px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eThe network consists of: (1) a single source station; (2) pumping stations; and, (3) households / end-users. The source station is Node 0.\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePumping stations\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are nodes that lead water to more nodes downstream. In the example, the pumping stations are Nodes 1, 2, 3, 4, 10, 11, 12, 15, 17, 19, 23, 24. Meanwhile,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ehouseholds\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are nodes that do not lead to any more nodes downstream. In the example, the households are Nodes 5, 6, 7, 8, 9, 13, 14, 16, 18, 20, 21, 22, 25.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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 there is a leak at any node, then all the nodes downstream from that node will be affected, including itself. For instance, if Node 17 has leaked, then Nodes 17-22 are all affected. Among these, Nodes 18, 20-22 are households. Given\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, can you list all the households that are affected by a leak in Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that accepts a vector\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, which is a row vector of length\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, and a scalar\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. The\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e represents the water distribution network, read as follows: Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ) is a\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003edirect\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e downstream water distributor to Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, for 1 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Given\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, output a row vector listing all affected households,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003esorted in increasing order\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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 instance, the above example will be represented as:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 40px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 20px; transform-origin: 404px 20px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ei = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eX = [0 1 1 3 3 4 2 2 2 4 4 11 12 12 10 15 15 17 17 19 19 19 12 23 24]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003ePlease take the time to verify 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Using this\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, sample test cases are given below:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 240px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 120px; transform-origin: 404px 120px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; water_loss(X,2)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 7 8 9\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; water_loss(X,10)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 16 18 20 21 22\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; water_loss(X,23)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 25\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; water_loss(X,13)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 13\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYou are ensured that:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 60px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 30px; transform-origin: 391px 30px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e2 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 400 and 1 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ) \u0026lt;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, for\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e = [1,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e]\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ) \u0026gt; 0, for\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e = [2,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e]\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = water_loss(X,P)\r\n y = P;\r\nend","test_suite":"%%\r\nfiletext = fileread('water_loss.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nX = [0 1 1 2 4 2 4];\r\nP = 2;\r\ny = [5 6 7 ];\r\nassert(isequal(water_loss(X,P),y))\r\n%%\r\nX = [0 1 2 3 4 5 4 1];\r\nP = 2;\r\ny = [6 7 ];\r\nassert(isequal(water_loss(X,P),y))\r\n%%\r\nX = [0 1 1 3 3 4 2 2 2 4 4 11 12 12 10 15 15 17 17 19 19 19 12 23 24];\r\nassert(isequal(water_loss(X,23),25))\r\nassert(isequal(water_loss(X,13),13))\r\nassert(isequal(water_loss(X,2),[7 8 9]))\r\nassert(isequal(water_loss(X,10),[16 18 20 21 22]))\r\n%%\r\nX = [0 1 2 1 2 4 5 1 8 7 5 5 6 4 8 ...\r\n 8 14 14 12 8 17 12 8 22 22 14 17 16 6 9 ...\r\n 15 8 28 7 8 6 9 17];\r\nassert(isequal(water_loss(X,36),36))\r\nP = 17;\r\ny = [21 27 38];\r\nassert(isequal(water_loss(X,P),y))\r\n%%\r\nX = [0 1 1 2 2 1 4 2 4 6 3 4 8 4 12 ...\r\n 15 12 6 11 3 19 19 18 6 15 1 12 9 5 6 ...\r\n 13 3 20 16 24 25 23 2 3 13 22 27 18 36 32 ...\r\n 44 25 16 6 30 39 22 5 15 9 16 25 31 27 52 ...\r\n 32 58 40 61 16];\r\nP = 19;\r\ny = [21 41 60 ];\r\nassert(isequal(water_loss(X,P),y))\r\nP = 15;\r\ny = [34 46 47 48 54 56 57 65 ];\r\nassert(isequal(water_loss(X,P),y))\r\n%%\r\nX = [0 1 1 2 1 3 3 2 2 9 7 6 11 2 11 ...\r\n 12 9 4 11 6 3 5 20 2 6 2 12 1 26 6 ...\r\n 3 10 15 4 34 12 11 3 12 2 21 32 27 4 4 ...\r\n 35 42 26 6 41 17 15 39 1 3 37 34 30 43 42 ...\r\n 47 18 43 36 26 5 52 23 42 52 8 10 40 36 66 ...\r\n 60 56 4 6 7 64 77 57 11 61 10 11 56 29 59 ...\r\n 68 54 69 22 70 93 84 9 36 37 69 61 81 38 22 ...\r\n 10 82 23 42 61 26 72 55 18 90 12 35 28 63 11 ...\r\n 49 13 14 97 37 76 122 55 89 98 57 86 15 125 26 ...\r\n 36 109 67 107 56 39 6 96 62 66 89 9 47 115 104 ...\r\n 19 20 15 2 66 102 113 84 18 101 21 22 16 24];\r\ny = [95 138 ];\r\nassert(isequal(water_loss(X,52),y))\r\ny = [74 99 103 136 ];\r\nassert(isequal(water_loss(X,36),y))\r\ny = [85 110 126 137 143 148 156 160 ];\r\nassert(isequal(water_loss(X,42),y))\r\n%%\r\nX = [0 1 1 3 2 3 5 7 3 8 8 11 1 5 10 5 4 13 12 12 14 1 8 11 6 ...\r\n 18 23 8 21 4 26 5 19 13 28 18 18 33 14 18 39 2 41 9 30 27 32 17 30 40 ...\r\n 1 5 51 35 13 23 7 16 15 20 10 22 8 56 7 61 27 4 24 51 56 39 50 66 5 ...\r\n 23 4 16 57 58 71 48 6 77 68 25 47 86 63 75 39 43 52 26 71 48 63 30 14 48 ...\r\n 37 80 80 69 14 3 60 33 102 107 32 89 101 68 101 109 64 86 69 4 54 79 64 46 117 ...\r\n 104 107 48 76 113 122 88 28];\r\ny = [115 130 ];\r\nassert(isequal(water_loss(X,101),y))\r\ny = [81 95 123 125 ];\r\nassert(isequal(water_loss(X,56),y))\r\n%%\r\nX = [0 1 2 2 2 2 5 7 8 6 6 2 11 6 3 14 13 16 6 13 14 3 9 7 18 ...\r\n 8 24 23 11 15 21 26 20 19 12 16 26 33 28 1 27 18 19 6 36 15 12 17 19 27 ...\r\n 29 21 21 28 36 53 41 23 49 8 4 6 11 21 20 1 36 7 10 44 61 70 42 73 41 ...\r\n 39 26 34 39 6 72 6 36 69 34 53 71 78 82 17 24 82 55 47 58 78 52 20 45 43 ...\r\n 97 63 71 75 37 55 60 17 61 76 47 93 82 41 52 45 90 86 51 83 114 95 87 14 49 ...\r\n 74 58 7 30 108 3 114 11 89 68 30 78 17 93 84 8 8 22 3 63 121 91 77 128 15 ...\r\n 137 17 79 22 87 1 120 134 145 157 81 44 17 83 97 126 14 111 87 29 160 101 76 163 115 ...\r\n 80 148 95 99 122 67 44 106 159 75 21 83 57 76 158 77 75 70 28 51 17 85 51 59 85 ...\r\n 24 100 143 50 161 16 82 1 46 1 40 31 57 38 30 129 195 204 49 106 83 116 59 16 98 ...\r\n 40 6 217 99 221 176 2 158 165 151 130 52 184 55 89 214 207 98 78 149 223 224 147 83 213 ...\r\n 111 227 9 135 182 46 87 49 84 105 143 13 145 73 64 65 42 256 251 221 197 48 99 52 1 ...\r\n 88 194 174 151 123 81 141 215 216 164 214 185 36 146 101 27 44 58 197 127 205 77 3 159 84 ...\r\n 284 273 119 8 205 256 298 18 139 180 213 224 203 228 118 184 37 19 312 91 191 309 60 63 111 ...\r\n 304 128 90 50 131 124 44 145 31 206 4 193 267 80 152 194 21 170 221 77 289 336 294 177 98 ...\r\n 262 84 337 219 213 62 33 92 308 328 252 262 84 210 296 148 362 34 119 189 23 270 208 198 311 ...\r\n 323 297 120 171 286 42 42 104 201 374 274 121 113 330 355 250 100 35 330 231 375 25 233 114 331];\r\ny = [321 345 349 366 377 ];\r\nassert(isequal(water_loss(X,77),y))\r\ny = [140 259 300 352 363 ];\r\nassert(isequal(water_loss(X,84),y))\r\ny = [32 54 107 110 132 142 153 173 178 188 192 218 245 248 253 254 260 277 282 ...\r\n 287 291 293 295 310 317 320 321 326 327 329 341 345 346 349 366 370 371 376 ...\r\n 377 383 384 387 390 391 396 399];\r\nassert(isequal(water_loss(X,5),y))\r\n%%\r\nX = [0 1 1 2 4 3 1 1 7 5 4 9 5 7 10 14 6 12 18 2 12 9 7 7 19 ...\r\n 25 5 22 6 29 25 14 24 17 28 13 3 22 35 8 18 31 2 41 34 26 9 24 25 49 ...\r\n 43 50 36 22 51 27 13 23 41 33 46 61 60 34 62 8 4 21 40 37 64 39 32 40 53 ...\r\n 2 61 11 38 21 30 54 14 24 17 17 29 77 42 36 17 89 38 79 58 36 85 77 46 81 ...\r\n 90 44 35 62 94 74 41 79 104 60 60 35 8 21 11 54 2 108 76 1 4 26 56 16 2 ...\r\n 91 45 100 56 57 7 7 13 80 33 114 117 133 68 31 32 76 109 50 67 93 134 24 106 87 ...\r\n 65 134 60 28 98 97 52 127 158 156 21 38 4 100 19 68 147 92 62 36 75 164 22 82 150 ...\r\n 8 122 174 51 24 124 165 112 165 36 140 65 79 30 155 119 142 155 13 185 98 149 147 165 32 ...\r\n 92 125 189 170 183 120 121 177 8 186 86 8 159 33 31 131 55 71 88 89 85 135 38 42 22 ...\r\n 73 174 54 169 159 190 192 69 73 123 77 197 193 133 63 164 57 111 94 132 243 186 243 59 132 ...\r\n 13 190 152 217 252 238 105 1 140 54 58 86 26 197 198 144 90 223 149 258 242 97 149 95 171 ...\r\n 220 206 35 229 8 117 206 221 104 212 255 70 38 65 102 84 270 15 174 48 248 50 150 298 107 ...\r\n 15 65 121 102 70 286 210 296 135 291 2 190 250 73 293 241 262 182 253 105 72 101 189 269 95 ...\r\n 131 282 202 326 68 273 224 83 159 134 201 269 36 278 286 121 147 196 241 256 262 135 149 333 200 ...\r\n 298 97 220 208 342 31 179 187 33 325 319 159 283 54 226 96 164 310 73 113 179 126 298 369 60 ...\r\n 89 265 142 369 369 245 328 154 243 379 216 361 279 188 249 347 78 155 390 159 261 357 396 260 44];\r\ny = [115 129 130 138 145 163 194 195 204 207 235 239 251 267 271 275 301 303 315 322 338 341 366 392 ];\r\nassert(isequal(water_loss(X,4),y))\r\ny = [143 151 284 289 302 358 388 ];\r\nassert(isequal(water_loss(X,62),y))\r\ny = [130 271 ];\r\nassert(isequal(water_loss(X,57),y))\r\ny = [160 272 352 ];\r\nassert(isequal(water_loss(X,97),y))\r\ny = [275 ];\r\nassert(isequal(water_loss(X,75),y))\r\ny = [145 ];\r\nassert(isequal(water_loss(X,67),y))\r\ny = [275 ];\r\nassert(isequal(water_loss(X,53),y))\r\ny = [99 143 151 219 231 236 263 284 289 302 306 312 340 343 345 354 358 388 393 ];\r\nassert(isequal(water_loss(X,26),y))\r\ny = [160 272 352 ];\r\nassert(isequal(water_loss(X,97),y))\r\ny = [254 ];\r\nassert(isequal(water_loss(X,55),y))\r\n","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":23,"test_suite_updated_at":"2020-05-11T17:59:04.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-05-11T16:06:38.000Z","updated_at":"2025-12-05T01:48:01.000Z","published_at":"2020-05-11T17:59:04.000Z","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\u003eConsider the following water distribution network, where water is pumped uni-directionally from 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=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[ 8\\n /\\n 2 ---- 9 13 24 ---- 25\\n / \\\\ / / \\n / 7 12 ---- 23\\n / 6 / \\\\ 22\\n0 ---- 1 / / 14 /\\n \\\\ 4 ---- 11 /\\n \\\\ / \\\\ 17 ---- 19 ---- 21\\n 3 \\\\ / \\\\ \\\\\\n \\\\ 10 ---- 15 18 \\\\\\n 5 \\\\ 20\\n 16]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe network consists of: (1) a single source station; (2) pumping stations; and, (3) households / end-users. The source station is Node 0.\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\u003ePumping stations\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are nodes that lead water to more nodes downstream. In the example, the pumping stations are Nodes 1, 2, 3, 4, 10, 11, 12, 15, 17, 19, 23, 24. Meanwhile,\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\u003ehouseholds\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are nodes that do not lead to any more nodes downstream. In the example, the households are Nodes 5, 6, 7, 8, 9, 13, 14, 16, 18, 20, 21, 22, 25.\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 there is a leak at any node, then all the nodes downstream from that node will be affected, including itself. For instance, if Node 17 has leaked, then Nodes 17-22 are all affected. Among these, Nodes 18, 20-22 are households. Given\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, can you list all the households that are affected by a leak in Node\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\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\u003eWrite a function that accepts a vector\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, which is a row vector of length\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and a scalar\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e represents the water distribution network, read as follows: Node\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\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: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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ) is a\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\u003edirect\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e downstream water distributor to Node\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, for 1 \u0026lt;=\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Given\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\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:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, output a row vector listing all affected households,\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\u003esorted in increasing order\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor instance, the above example will be represented as:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[i = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25\\nX = [0 1 1 3 3 4 2 2 2 4 4 11 12 12 10 15 15 17 17 19 19 19 12 23 24]]]\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\u003ePlease take the time to verify the elements of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Using this\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, sample test cases are given below:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e water_loss(X,2)\\nans = \\n 7 8 9\\n\u003e\u003e water_loss(X,10)\\nans =\\n 16 18 20 21 22\\n\u003e\u003e water_loss(X,23)\\nans =\\n 25\\n\u003e\u003e water_loss(X,13)\\nans =\\n 13]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are ensured that:\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\u003e2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 400 and 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\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: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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ) \u0026lt;\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, for\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = [1,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\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: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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ) \u0026gt; 0, for\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = [2,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\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":45470,"title":"Count the number of reaction chains achievable in T mins","description":"This problem is related to Problem \u003c45467\u003e.\r\n\r\nLet's denote a list of *N* compounds as 1, 2, ..., *N*. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u003e 2), as well as the time it takes to complete them ( _completion time_ ). With this information, we can generate _reaction chains_. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\r\n\r\n Given N = 4 and the following valid reactions:\r\n Reaction 1: 1 --\u003e 2 takes 1.5 mins\r\n Reaction 2: 1 --\u003e 3 takes 2.5 mins \r\n Reaction 3: 2 --\u003e 3 takes 0.6 mins\r\n Reaction 4: 3 --\u003e 4 takes 4.1 mins \r\n Reaction 5: 4 --\u003e 2 takes 3.2 mins\r\n Sample reaction chains: 1 --\u003e 3 --\u003e 4 takes (2.5 + 4.1) mins\r\n 1 --\u003e 2 --\u003e 3 --\u003e 4 takes (1.5 + 0.6 + 4.1) mins \r\n 4 --\u003e 2 --\u003e 3 takes (3.2 + 0.6) mins\r\n\r\nNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\r\n\r\nYour task is this: Given a starting compound *S*, can you count how many reaction chains are possible _whose total completion time does not exceed *T* mins_? \r\n\r\nNote that if multiple valid reaction steps are possible between two compounds (e.g. \"1 --\u003e 2 takes 1.5 mins\" and \"1 --\u003e 2 takes 2.5 mins\" both appear in the list), then reaction chains that take either of these paths are distinct. Lastly, for this problem, reaction chains must not contain duplicate compounds; otherwise, they become \"cycles\" rather than \"chains\". \r\n\r\nThe inputs to this problem are *R*, *S*, and *T*. The meanings of *S* and *T* are given above. Variable *R* is a 3-column matrix containing the list of valid reaction steps at each row _i_: \r\n\r\n\"Reaction _i_: *R*( _i_, _1_) --\u003e *R*( _i_, _2_) takes *R*( _i_, _3_) mins\"\r\n\r\nOutput the required number of reaction chains. You are ensured that:\r\n\r\n* *N* and *T* are integers satisfying: 2 \u003c= *N* \u003c= 20 and 1 \u003c= *T* \u003c= 100.\r\n* *S* and all elements in the first 2 columns of *R* are integers within [1, *N*].\r\n* Completion times are decimal numbers within (0,10].\r\n* Each compound 1, ..., *N* is mentioned at least once in *R*. Hence, *N* can be inferred from matrix *R*.\r\n\r\nThe following sample test case is the one illustrated above:\r\n\r\n \u003e\u003e R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\n \u003e\u003e reaction_chain2(R,1,5)\r\n ans = \r\n 3\r\n\u003e\u003e reaction_chain2(R,1,10)\r\n ans = \r\n 6\r\n\r\n\r\nIn this example, all the reaction chains starting from Compound 1 are:\r\n\r\n (1.50 mins) 1 --\u003e 2\r\n (2.10 mins) 1 --\u003e 2 --\u003e 3\r\n (6.20 mins) 1 --\u003e 2 --\u003e 3 --\u003e 4\r\n (2.50 mins) 1 --\u003e 3\r\n (6.60 mins) 1 --\u003e 3 --\u003e 4\r\n (9.80 mins) 1 --\u003e 3 --\u003e 4 --\u003e 2\r\n","description_html":"\u003cp\u003eThis problem is related to Problem \u003ca href = \"45467\"\u003e45467\u003c/a\u003e.\u003c/p\u003e\u003cp\u003eLet's denote a list of \u003cb\u003eN\u003c/b\u003e compounds as 1, 2, ..., \u003cb\u003eN\u003c/b\u003e. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u0026gt; 2), as well as the time it takes to complete them ( \u003ci\u003ecompletion time\u003c/i\u003e ). With this information, we can generate \u003ci\u003ereaction chains\u003c/i\u003e. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eGiven N = 4 and the following valid reactions:\r\nReaction 1: 1 --\u0026gt; 2 takes 1.5 mins\r\nReaction 2: 1 --\u0026gt; 3 takes 2.5 mins \r\nReaction 3: 2 --\u0026gt; 3 takes 0.6 mins\r\nReaction 4: 3 --\u0026gt; 4 takes 4.1 mins \r\nReaction 5: 4 --\u0026gt; 2 takes 3.2 mins\r\nSample reaction chains: 1 --\u0026gt; 3 --\u0026gt; 4 takes (2.5 + 4.1) mins\r\n 1 --\u0026gt; 2 --\u0026gt; 3 --\u0026gt; 4 takes (1.5 + 0.6 + 4.1) mins \r\n 4 --\u0026gt; 2 --\u0026gt; 3 takes (3.2 + 0.6) mins\r\n\u003c/pre\u003e\u003cp\u003eNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\u003c/p\u003e\u003cp\u003eYour task is this: Given a starting compound \u003cb\u003eS\u003c/b\u003e, can you count how many reaction chains are possible \u003ci\u003ewhose total completion time does not exceed \u003cb\u003eT\u003c/b\u003e mins\u003c/i\u003e?\u003c/p\u003e\u003cp\u003eNote that if multiple valid reaction steps are possible between two compounds (e.g. \"1 --\u0026gt; 2 takes 1.5 mins\" and \"1 --\u0026gt; 2 takes 2.5 mins\" both appear in the list), then reaction chains that take either of these paths are distinct. Lastly, for this problem, reaction chains must not contain duplicate compounds; otherwise, they become \"cycles\" rather than \"chains\".\u003c/p\u003e\u003cp\u003eThe inputs to this problem are \u003cb\u003eR\u003c/b\u003e, \u003cb\u003eS\u003c/b\u003e, and \u003cb\u003eT\u003c/b\u003e. The meanings of \u003cb\u003eS\u003c/b\u003e and \u003cb\u003eT\u003c/b\u003e are given above. Variable \u003cb\u003eR\u003c/b\u003e is a 3-column matrix containing the list of valid reaction steps at each row \u003ci\u003ei\u003c/i\u003e:\u003c/p\u003e\u003cp\u003e\"Reaction \u003ci\u003ei\u003c/i\u003e: \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e1\u003c/i\u003e) --\u0026gt; \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e2\u003c/i\u003e) takes \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e3\u003c/i\u003e) mins\"\u003c/p\u003e\u003cp\u003eOutput the required number of reaction chains. You are ensured that:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cb\u003eN\u003c/b\u003e and \u003cb\u003eT\u003c/b\u003e are integers satisfying: 2 \u0026lt;= \u003cb\u003eN\u003c/b\u003e \u0026lt;= 20 and 1 \u0026lt;= \u003cb\u003eT\u003c/b\u003e \u0026lt;= 100.\u003c/li\u003e\u003cli\u003e\u003cb\u003eS\u003c/b\u003e and all elements in the first 2 columns of \u003cb\u003eR\u003c/b\u003e are integers within [1, \u003cb\u003eN\u003c/b\u003e].\u003c/li\u003e\u003cli\u003eCompletion times are decimal numbers within (0,10].\u003c/li\u003e\u003cli\u003eEach compound 1, ..., \u003cb\u003eN\u003c/b\u003e is mentioned at least once in \u003cb\u003eR\u003c/b\u003e. Hence, \u003cb\u003eN\u003c/b\u003e can be inferred from matrix \u003cb\u003eR\u003c/b\u003e.\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eThe following sample test case is the one illustrated above:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\n\u0026gt;\u0026gt; reaction_chain2(R,1,5)\r\nans = \r\n 3\r\n\u0026gt;\u0026gt; reaction_chain2(R,1,10)\r\nans = \r\n 6\r\n\u003c/pre\u003e\u003cp\u003eIn this example, all the reaction chains starting from Compound 1 are:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e(1.50 mins) 1 --\u0026gt; 2\r\n(2.10 mins) 1 --\u0026gt; 2 --\u0026gt; 3\r\n(6.20 mins) 1 --\u0026gt; 2 --\u0026gt; 3 --\u0026gt; 4\r\n(2.50 mins) 1 --\u0026gt; 3\r\n(6.60 mins) 1 --\u0026gt; 3 --\u0026gt; 4\r\n(9.80 mins) 1 --\u0026gt; 3 --\u0026gt; 4 --\u0026gt; 2\r\n\u003c/pre\u003e","function_template":"function y = reaction_chain2(R,S,T)\r\n y = T;\r\nend","test_suite":"%%\r\nfiletext = fileread('reaction_chain2.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nR = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\nassert(isequal(reaction_chain2(R,1,5),3))\r\nassert(isequal(reaction_chain2(R,1,10),6))\r\n%%\r\nR = [2 1 1.5592;1 2 2.4465;7 6 5.9819;7 6 1.9563;5 7 4.9169; ...\r\n9 10 2.6206;9 10 3.6554;10 9 6.9576;2 1 1.5000;2 13 9.0677; ...\r\n13 2 7.3477;4 5 8.9883;5 4 7.8082;6 5 0.7312;10 8 2.5875; ...\r\n8 9 4.9516;10 9 3.9300;12 1 0.0830;1 12 9.7302;13 12 6.0841; ...\r\n3 5 0.0807;3 5 5.3663;4 5 2.4256;7 9 0.1973;7 9 8.2272; ...\r\n8 9 1.6038;11 12 8.2550;13 11 1.9458;13 11 1.3879;2 4 9.8468; ...\r\n3 2 4.8237;2 3 5.5103;7 6 9.9712;7 8 5.0623;7 6 8.8766; ...\r\n11 12 4.6054;10 12 1.0703;10 12 5.3461;3 2 5.4698;1 2 5.6282; ...\r\n2 1 2.9354;7 6 1.5597;6 5 8.5908;5 7 7.9862;9 11 5.0525; ...\r\n9 11 3.1038;11 10 2.6583];\r\nassert(isequal(reaction_chain2(R,4,100),1966))\r\nassert(isequal(reaction_chain2(R,2,3),3))\r\nassert(isequal(reaction_chain2(R,1,20),74))\r\n%%\r\nR = [3 2 8.2070;2 1 1.0576;5 6 4.3201;5 6 1.1111;6 7 5.3338; ...\r\n11 10 9.7877;10 11 5.9987;9 10 4.3743;14 13 2.7591;13 15 8.6333; ...\r\n14 13 5.6640;17 18 1.6193;17 1 2.8767;17 18 6.9178;4 3 5.6304; ...\r\n4 3 4.3412;5 4 0.5619;9 8 9.5380;9 7 0.0224;9 8 7.1412; ...\r\n11 13 2.7473;11 12 0.6646;12 11 1.2049;17 15 8.9250;16 15 3.4592; ...\r\n17 15 0.4951;1 2 4.0666;1 2 0.5611;2 3 6.7063;6 5 2.7088; ...\r\n5 7 7.1288;5 6 0.6856;11 9 4.1500;11 10 5.9775;9 10 8.3965; ...\r\n15 14 7.5966;14 15 4.1755;14 13 8.3002;1 18 5.0146;1 17 9.7139; ...\r\n17 18 0.2792;3 5 5.4500;5 3 2.3200;5 3 8.7088;7 8 4.0699; ...\r\n8 7 1.8611;9 8 7.8793;13 11 7.7952;11 13 5.4524;13 12 1.3119];\r\nassert(isequal(reaction_chain2(R,16,30),42))\r\nassert(isequal(reaction_chain2(R,16,20),9))\r\nassert(isequal(reaction_chain2(R,16,10),1))\r\n%%\r\nR = [2 3 3.1864;3 2 4.9359;1 2 7.7339;5 1 5.2448;2 5 1.3431; ...\r\n4 1 4.8876;4 1 9.5712;4 1 2.6840;4 3 0.0273;5 4 1.7028; ...\r\n5 4 5.2548;3 2 4.2046;3 4 8.6170;3 4 9.1101;2 1 3.3861];\r\nassert(isequal(reaction_chain2(R,1,20),8))\r\nassert(isequal(reaction_chain2(R,3,11),14))\r\nassert(isequal(reaction_chain2(R,3,12),18))\r\nassert(isequal(reaction_chain2(R,3,13),20))\r\nassert(isequal(reaction_chain2(R,3,14),23))\r\nassert(isequal(reaction_chain2(R,3,15),24))\r\nassert(isequal(reaction_chain2(R,3,100),44))\r\n%%\r\nR = [4 16 0.4237;2 9 0.0306;8 11 0.6388;1 13 0.1693;2 16 0.3843; ...\r\n8 6 0.5554;6 7 0.3490;17 7 0.1930;17 6 0.5509;17 2 0.2577; ...\r\n8 11 0.8995;4 18 0.4340;15 10 0.3313;8 13 0.9162;17 3 0.1199; ...\r\n17 12 0.0403;10 17 0.3857;6 5 0.2009;7 11 0.2684;12 15 0.1040; ...\r\n14 12 0.4747;17 2 0.5991;5 1 0.5799;16 11 0.8399;4 12 0.1740; ...\r\n6 1 0.7015;18 14 0.7567;10 6 0.2449;6 18 0.2307;10 4 0.4340; ...\r\n3 7 0.7936;15 17 0.5404;15 13 0.0432;3 5 0.2467;4 5 0.2755; ...\r\n18 7 0.2973;8 6 0.7573;7 3 0.6172;16 9 0.0776;17 6 0.6139; ...\r\n12 4 0.9600;12 10 0.8690;11 1 0.4827;15 14 0.5723;1 13 0.4494; ...\r\n12 14 0.8047;1 15 0.5674;2 5 0.1335;11 10 0.0689;18 5 0.3155; ...\r\n6 1 0.5279;5 8 0.9475;17 3 0.5919];\r\nassert(isequal(reaction_chain2(R,9,100),0))\r\nassert(isequal(reaction_chain2(R,3,100),3812))\r\nassert(isequal(reaction_chain2(R,3,1),4))\r\nassert(isequal(reaction_chain2(R,3,2),42))\r\n%%\r\nR = [1 2 5;1 2 9];\r\nassert(isequal(reaction_chain2(R,1,10),2))\r\nassert(isequal(reaction_chain2(R,2,10),0))\r\n%%\r\nR = [3 1 9.1338;2 1 2.7850;1 2 9.6489;5 2 9.5717;1 2 1.4189; ...\r\n5 1 7.9221;1 5 0.3571;5 4 7.0605;3 5 6.9483;3 5 0.3445; ...\r\n5 3 4.8976;4 2 6.7970;3 2 1.1900;3 4 3.4039;2 1 7.5127; ...\r\n1 2 6.9908;3 1 8.1428;5 2 3.4998;5 2 7.5373];\r\nassert(isequal(reaction_chain2(R,4,7),1))\r\nassert(isequal(reaction_chain2(R,1,5),3))\r\n%%\r\nR = [3 1 3.9978;1 3 4.3141;7 5 2.6380;7 6 3.5095;5 6 0.4965; ...\r\n10 9 7.8025;10 9 4.0391;1 10 0.5978;3 4 8.2119;4 5 6.4775; ...\r\n5 3 6.8678;7 8 6.2562;9 7 9.2939;9 8 4.3586;2 1 5.0851; ...\r\n2 3 7.9483;3 2 6.2248;6 5 3.0125;6 5 8.4431];\r\nassert(isequal(reaction_chain2(R,2,23),21))\r\nassert(isequal(reaction_chain2(R,2,25),25))\r\n%%\r\nR = [1 2 3.1110;3 2 1.8482;6 5 6.0284;7 5 1.1742;6 5 2.6248; ...\r\n11 9 9.2885;11 10 5.7853;9 10 9.6309;13 15 9.1329;15 13 2.6187; ...\r\n14 15 1.3655;4 2 6.5376;3 4 7.1504;4 2 0.3054;8 7 4.7992; ...\r\n8 7 6.1767;6 7 1.6793;11 10 6.8197;10 12 8.1755;12 10 6.5961; ...\r\n15 1 6.4899;1 15 4.3239];\r\nassert(isequal(reaction_chain2(R,3,30),4))\r\nassert(isequal(reaction_chain2(R,12,30),1))\r\nassert(isequal(reaction_chain2(R,6,30),4))\r\n\r\n","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":15,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-21T14:15:20.000Z","updated_at":"2025-12-04T23:53:49.000Z","published_at":"2020-04-21T14:15:20.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis problem is related to Problem\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"45467\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e45467\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eLet's denote a list of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e compounds as 1, 2, ...,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u0026gt; 2), as well as the time it takes to complete them (\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\u003ecompletion time\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ). With this information, we can generate\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\u003ereaction chains\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[Given N = 4 and the following valid reactions:\\nReaction 1: 1 --\u003e 2 takes 1.5 mins\\nReaction 2: 1 --\u003e 3 takes 2.5 mins \\nReaction 3: 2 --\u003e 3 takes 0.6 mins\\nReaction 4: 3 --\u003e 4 takes 4.1 mins \\nReaction 5: 4 --\u003e 2 takes 3.2 mins\\nSample reaction chains: 1 --\u003e 3 --\u003e 4 takes (2.5 + 4.1) mins\\n 1 --\u003e 2 --\u003e 3 --\u003e 4 takes (1.5 + 0.6 + 4.1) mins \\n 4 --\u003e 2 --\u003e 3 takes (3.2 + 0.6) mins]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task is this: Given a starting compound\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, can you count how many reaction chains are possible\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\u003ewhose total completion time does not exceed\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e mins\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that if multiple valid reaction steps are possible between two compounds (e.g. \\\"1 --\u0026gt; 2 takes 1.5 mins\\\" and \\\"1 --\u0026gt; 2 takes 2.5 mins\\\" both appear in the list), then reaction chains that take either of these paths are distinct. Lastly, for this problem, reaction chains must not contain duplicate compounds; otherwise, they become \\\"cycles\\\" rather than \\\"chains\\\".\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe inputs to this problem are\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The meanings of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are given above. Variable\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is a 3-column matrix containing the list of valid reaction steps at each row\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\"Reaction\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e:\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) --\u0026gt;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) takes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) mins\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOutput the required number of reaction chains. You are ensured that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are integers satisfying: 2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 20 and 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and all elements in the first 2 columns of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are integers within [1,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCompletion times are decimal numbers within (0,10].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEach compound 1, ...,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is mentioned at least once in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Hence,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e can be inferred from matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe following sample test case is the one illustrated above:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\\n\u003e\u003e reaction_chain2(R,1,5)\\nans = \\n 3\\n\u003e\u003e reaction_chain2(R,1,10)\\nans = \\n 6]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn this example, all the reaction chains starting from Compound 1 are:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[(1.50 mins) 1 --\u003e 2\\n(2.10 mins) 1 --\u003e 2 --\u003e 3\\n(6.20 mins) 1 --\u003e 2 --\u003e 3 --\u003e 4\\n(2.50 mins) 1 --\u003e 3\\n(6.60 mins) 1 --\u003e 3 --\u003e 4\\n(9.80 mins) 1 --\u003e 3 --\u003e 4 --\u003e 2]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45415,"title":"Find an optimal placement of coolers on a grid","description":"In a certain chemical plant, 6 new pieces of cooling equipment (coolers) are to be installed in a vacant space. This vacant space was divided into a grid of 6 cells by 6 cells. Your task is to assign the 6 coolers to 6 cells in this grid with the following requirements:\r\n\r\n# There must be one cooler for every column in the grid.\r\n# If you decide to install a cooler at row R, column C, then the cooler at column C+1 must be installed either on row R-1, R, or R+1 only. This is done to ease the connection of coolers by piping.\r\n# The total installation cost for the 6 coolers must be minimum.\r\n\r\nFor this problem, you are given a cost matrix (COST) in relation to the third requirement above. COST is a 6 x 6 matrix where the _r,c_-th element is the cost of assigning any cooler to row _r_, column _c_ (All the coolers are identical). Write a function that accepts the matrix COST, and output the value of the minimum cost of installation. You are ensured that all elements of COST are integers in the range [1,1000].\r\n\r\nIn the sample test case below, the optimal placement is at the following rows: 4,3,3,2,2,2.\r\n\r\n \u003e\u003e COST = [695 766 710 119 752 548;\r\n 318 796 755 499 256 139;\r\n 951 187 277 960 506 150;\r\n 35 490 680 341 700 258;\r\n 439 446 656 586 891 841;\r\n 382 647 163 224 960 255];\r\n \u003e\u003e coolers(COST)\r\n ans = \r\n 1393\r\n \r\nMeanwhile, the optimal placement for the case below is at rows: 5,6,5,6,5,6\r\n\r\n \u003e\u003e COST = [815 617 918 76 569 312;\r\n 244 474 286 54 470 529;\r\n 930 352 758 531 455 988;\r\n 350 831 754 780 12 602;\r\n 197 586 381 935 163 263;\r\n 252 550 568 130 795 100];\r\n \u003e\u003e coolers(COST)\r\n ans = \r\n 1521\r\n","description_html":"\u003cp\u003eIn a certain chemical plant, 6 new pieces of cooling equipment (coolers) are to be installed in a vacant space. This vacant space was divided into a grid of 6 cells by 6 cells. Your task is to assign the 6 coolers to 6 cells in this grid with the following requirements:\u003c/p\u003e\u003col\u003e\u003cli\u003eThere must be one cooler for every column in the grid.\u003c/li\u003e\u003cli\u003eIf you decide to install a cooler at row R, column C, then the cooler at column C+1 must be installed either on row R-1, R, or R+1 only. This is done to ease the connection of coolers by piping.\u003c/li\u003e\u003cli\u003eThe total installation cost for the 6 coolers must be minimum.\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eFor this problem, you are given a cost matrix (COST) in relation to the third requirement above. COST is a 6 x 6 matrix where the \u003ci\u003er,c\u003c/i\u003e-th element is the cost of assigning any cooler to row \u003ci\u003er\u003c/i\u003e, column \u003ci\u003ec\u003c/i\u003e (All the coolers are identical). Write a function that accepts the matrix COST, and output the value of the minimum cost of installation. You are ensured that all elements of COST are integers in the range [1,1000].\u003c/p\u003e\u003cp\u003eIn the sample test case below, the optimal placement is at the following rows: 4,3,3,2,2,2.\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; COST = [695 766 710 119 752 548;\r\n 318 796 755 499 256 139;\r\n 951 187 277 960 506 150;\r\n 35 490 680 341 700 258;\r\n 439 446 656 586 891 841;\r\n 382 647 163 224 960 255];\r\n\u0026gt;\u0026gt; coolers(COST)\r\nans = \r\n 1393\r\n\u003c/pre\u003e\u003cp\u003eMeanwhile, the optimal placement for the case below is at rows: 5,6,5,6,5,6\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; COST = [815 617 918 76 569 312;\r\n 244 474 286 54 470 529;\r\n 930 352 758 531 455 988;\r\n 350 831 754 780 12 602;\r\n 197 586 381 935 163 263;\r\n 252 550 568 130 795 100];\r\n\u0026gt;\u0026gt; coolers(COST)\r\nans = \r\n 1521\r\n\u003c/pre\u003e","function_template":"function y = coolers(COST)\r\n y = x;\r\nend","test_suite":"%%\r\nfiletext = fileread('coolers.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\n%%\r\nCOST = [815 617 918 76 569 312;\r\n 244 474 286 54 470 529;\r\n 930 352 758 531 455 988;\r\n 350 831 754 780 12 602;\r\n 197 586 381 935 163 263;\r\n 252 550 568 130 795 100];\r\nassert(isequal(coolers(COST),1521))\r\n%%\r\nCOST = [690 153 107 85 182 550;\r\n 749 826 962 400 264 145;\r\n 451 539 5 260 146 854;\r\n 84 997 775 801 137 623;\r\n 229 79 818 432 870 351;\r\n 914 443 869 911 580 514];\r\nassert(isequal(coolers(COST),1179))\r\n%%\r\nCOST = [402 418 338 242 576 44;\r\n 76 50 901 404 60 169;\r\n 240 903 370 97 235 650;\r\n 124 945 112 132 354 732;\r\n 184 491 781 943 822 648;\r\n 240 490 390 957 16 451];\r\nassert(isequal(coolers(COST),697))\r\n%%\r\nCOST = [1 1 1000 1000 1000 1;\r\n 1 1000 1 1000 1000 1000;\r\n 1 1000 1000 1000 1 1000;\r\n 1 1000 1000 1 1000 1000;\r\n 1 1000 1000 1000 1000 1000;\r\n 1 1000 1000 1000 1000 1000];\r\nassert(isequal(coolers(COST),2004))\r\n%%\r\nCOST = [548 369 487 818 351 208;\r\n 297 626 436 795 940 302;\r\n 745 781 447 645 876 471;\r\n 189 82 307 379 551 231;\r\n 687 930 509 812 623 845;\r\n 184 776 511 533 588 195];\r\nassert(isequal(coolers(COST),1739))\r\n%%\r\nCOST = [226 431 259 222 86 489;\r\n 171 185 409 118 263 579;\r\n 228 905 595 297 802 238;\r\n 436 980 263 319 30 459;\r\n 312 439 603 425 929 964;\r\n 924 112 712 508 731 547];\r\nassert(isequal(coolers(COST),1234))\r\n%%\r\nCOST = [522 368 99 107 891 501;\r\n 232 988 262 654 335 480;\r\n 489 38 336 495 699 905;\r\n 625 886 680 780 198 610;\r\n 680 914 137 716 31 618;\r\n 396 797 722 904 745 860];\r\nassert(isequal(coolers(COST),1454))\r\n%%\r\nCOST = [806 490 60 819 973 84;\r\n 577 168 682 818 649 134;\r\n 183 979 43 723 801 174;\r\n 240 713 72 150 454 391;\r\n 887 501 522 660 433 832;\r\n 29 472 97 519 826 804];\r\nassert(isequal(coolers(COST),1172))\r\n%%\r\nCOST = [61 292 373 53 418 699;\r\n 400 432 199 738 984 667;\r\n 527 16 490 270 302 179;\r\n 417 985 340 423 702 129;\r\n 657 168 952 548 667 1000;\r\n 628 107 921 943 540 172];\r\nassert(isequal(coolers(COST),1253))\r\n%%\r\nCOST = [33 461 191 385 825 907;\r\n 562 982 429 583 983 880;\r\n 882 157 483 252 731 818;\r\n 670 856 121 291 344 261;\r\n 191 645 590 618 585 595;\r\n 369 377 227 266 108 23];\r\nassert(isequal(coolers(COST),1192))\r\n%%\r\nCOST = [426 599 69 719 779 441;\r\n 313 471 320 969 424 528;\r\n 162 696 531 532 91 458;\r\n 179 700 655 326 267 876;\r\n 423 639 408 106 154 519;\r\n 95 34 820 611 282 944];\r\nassert(isequal(coolers(COST),1316))\r\n%%\r\nCOST = [638 696 345 916 323 474;\r\n 958 68 781 2 785 153;\r\n 241 255 676 463 472 342;\r\n 677 225 7 425 36 608;\r\n 290 668 603 461 176 192;\r\n 672 845 387 771 722 739];\r\nassert(isequal(coolers(COST),1126))\r\n%%\r\nCOST = [243 92 648 237 771 257;\r\n 918 577 680 120 351 614;\r\n 270 684 636 608 663 583;\r\n 766 547 946 451 417 541;\r\n 189 426 209 459 842 870;\r\n 288 645 710 662 833 265];\r\nassert(isequal(coolers(COST),1711))\r\n%%\r\nCOST = [319 545 219 366 193 862;\r\n 120 648 106 764 139 485;\r\n 940 544 110 628 697 394;\r\n 646 722 64 772 94 672;\r\n 480 523 405 933 526 742;\r\n 640 994 449 973 531 521];\r\nassert(isequal(coolers(COST),1669))\r\n%%\r\nCOST = [674 622 842 636 885 896;\r\n 575 722 853 599 699 975;\r\n 794 844 722 911 905 664;\r\n 632 680 510 715 878 836;\r\n 523 869 667 944 689 720;\r\n 878 698 713 696 609 917];\r\nassert(isequal(coolers(COST),3837))\r\n%%\r\nCOST = [82 122 681 602 355 371;...\r\n 483 544 417 347 776 384;...\r\n 129 315 643 365 237 862;...\r\n 253 383 215 172 845 464;...\r\n 884 792 618 796 817 571;...\r\n 197 840 676 493 847 696];\r\nassert(isequal(coolers(COST),1452))\r\n%%\r\nCOST = [961 170 710 563 536 327;...\r\n 547 179 176 177 199 603;...\r\n 637 244 859 514 624 362;...\r\n 571 752 910 549 27 135;...\r\n 928 200 962 166 319 914;...\r\n 864 983 571 494 533 641];\r\nassert(isequal(coolers(COST),1569))\r\n%%\r\nCOST = [659 381 223 112 267 869;...\r\n 676 822 1000 425 292 529;...\r\n 745 172 64 614 189 915;...\r\n 843 330 426 989 23 974;...\r\n 517 967 405 220 450 586;...\r\n 152 807 401 355 244 119];\r\nassert(isequal(coolers(COST),1835))\r\n%%\r\nCOST = [927 925 215 554 571 679;...\r\n 594 643 249 631 336 213;...\r\n 884 105 227 986 958 82;...\r\n 425 701 704 635 440 275;...\r\n 608 396 755 601 602 868;...\r\n 71 85 548 910 721 560];\r\nassert(isequal(coolers(COST),1751))\r\n%%\r\nCOST = [465 433 384 904 809 299;...\r\n 431 506 712 219 180 769;...\r\n 774 376 481 874 166 502;...\r\n 654 481 730 83 182 910;...\r\n 658 343 938 466 692 58;...\r\n 162 778 518 22 214 437];\r\nassert(isequal(coolers(COST),1317))\r\n%%\r\nCOST = [573 952 497 860 78 228;...\r\n 566 767 809 627 339 710;...\r\n 824 752 633 181 581 149;...\r\n 127 139 689 574 476 659;...\r\n 301 350 640 164 806 634;...\r\n 3 152 730 907 531 230];\r\nassert(isequal(coolers(COST),1568))\r\n%%\r\nCOST = [183 958 897 179 998 879;...\r\n 167 26 190 747 5 747;...\r\n 150 972 661 50 543 118;...\r\n 203 298 942 72 862 510;...\r\n 955 526 976 490 910 169;...\r\n 16 863 108 850 846 832];\r\nassert(isequal(coolers(COST),539))\r\n%%\r\nCOST = [929 868 245 81 27 760;...\r\n 170 742 641 361 786 926;...\r\n 884 448 809 829 923 833;...\r\n 388 710 854 215 493 260;...\r\n 383 945 399 792 835 214;...\r\n 272 175 116 655 132 523];\r\nassert(isequal(coolers(COST),1564))\r\n%%\r\nCOST = [398 438 798 217 378 972;...\r\n 480 773 656 812 168 361;...\r\n 994 745 33 139 541 645;...\r\n 605 443 558 882 102 68;...\r\n 945 54 720 924 40 208;...\r\n 491 88 111 13 934 40];\r\nassert(isequal(coolers(COST),749))\r\n%%\r\nCOST = [470 581 9 642 470 879;...\r\n 151 541 825 106 220 189;...\r\n 992 706 768 269 923 760;...\r\n 428 6 998 764 321 32;...\r\n 956 783 228 806 858 643;...\r\n 725 927 920 105 260 567];\r\nassert(isequal(coolers(COST),1216))\r\n%%\r\nCOST = [377 187 35 595 562 603;...\r\n 213 486 489 499 634 474;...\r\n 793 839 972 568 931 357;...\r\n 146 142 113 427 978 476;...\r\n 490 733 744 77 94 672;...\r\n 13 692 639 291 662 960];\r\nassert(isequal(coolers(COST),1048))\r\n%%\r\nCOST = [90 52 454 629 707 46;...\r\n 798 505 738 133 536 886;...\r\n 591 769 510 619 194 840;...\r\n 913 283 383 384 690 119;...\r\n 102 226 906 992 51 411;...\r\n 294 332 966 287 185 121];\r\nassert(isequal(coolers(COST),1042))\r\n%%\r\nCOST = [573 666 232 754 549 464;...\r\n 950 974 53 622 461 590;...\r\n 257 623 902 395 646 188;...\r\n 990 64 794 360 514 612;...\r\n 350 374 374 89 815 52;...\r\n 209 167 833 342 98 576];\r\nassert(isequal(coolers(COST),934))\r\n%%\r\nCOST = [843 797 666 67 652 382;...\r\n 500 294 961 898 134 301;...\r\n 440 116 944 498 639 341;...\r\n 150 376 113 772 385 919;...\r\n 29 829 649 61 766 457;...\r\n 757 842 481 263 653 443];\r\nassert(isequal(coolers(COST),1166))\r\n%%\r\nCOST = [455 767 602 56 365 673;...\r\n 946 343 650 99 677 203;...\r\n 220 619 343 650 376 869;...\r\n 883 454 494 765 864 752;...\r\n 20 11 702 988 292 420;...\r\n 342 600 888 126 134 1];\r\nassert(isequal(coolers(COST),994))\r\n%%\r\nCOST = [150 436 24 66 150 132;...\r\n 274 904 575 924 351 887;...\r\n 873 926 47 535 336 675;...\r\n 602 506 423 367 785 836;...\r\n 322 628 468 364 487 657;...\r\n 285 720 23 152 465 984];\r\nassert(isequal(coolers(COST),958))\r\n%%\r\nCOST = [980 191 386 245 842 952;...\r\n 251 125 311 804 79 966;...\r\n 625 3 4 824 238 766;...\r\n 729 153 816 853 818 575;...\r\n 499 535 639 468 406 916;...\r\n 850 511 449 971 467 496];\r\nassert(isequal(coolers(COST),1655))\r\n%%\r\nCOST = [167 167 988 896 65 887;...\r\n 326 948 151 835 264 421;...\r\n 297 812 959 3 103 284;...\r\n 559 711 531 641 484 49;...\r\n 68 971 75 804 419 220;...\r\n 69 999 312 246 382 240];\r\nassert(isequal(coolers(COST),640))\r\n%%\r\nCOST = [30 653 667 689 433 469;...\r\n 703 321 848 321 905 546;...\r\n 8 104 763 532 631 180;...\r\n 611 536 808 874 984 635;...\r\n 409 165 633 55 586 963;...\r\n 249 884 711 501 841 535];\r\nassert(isequal(coolers(COST),2007))\r\n%%\r\nCOST = [480 679 683 689 62 13;...\r\n 794 566 947 148 220 217;...\r\n 93 479 100 778 83 12;...\r\n 881 321 512 400 951 643;...\r\n 4 602 111 899 17 517;...\r\n 512 914 546 308 115 246];\r\nassert(isequal(coolers(COST),648))\r\n%%\r\nCOST = [194 309 342 580 56 396;...\r\n 91 745 840 329 35 170;...\r\n 369 840 983 269 287 431;...\r\n 8 263 627 551 78 417;...\r\n 603 515 182 181 901 729;...\r\n 479 447 124 679 847 407];\r\nassert(isequal(coolers(COST),1129))\r\n%%\r\nCOST = [952 211 79 334 443 924;...\r\n 912 131 934 693 633 153;...\r\n 952 521 603 204 930 406;...\r\n 347 906 378 959 530 313;...\r\n 291 403 665 712 627 694;...\r\n 887 216 793 167 681 891];\r\nassert(isequal(coolers(COST),2052))\r\n%%\r\nCOST = [491 677 35 27 661 34;...\r\n 806 829 437 501 330 407;...\r\n 327 111 937 828 660 717;...\r\n 550 280 263 259 14 922;...\r\n 389 768 570 46 719 985;...\r\n 897 217 360 247 392 984];\r\nassert(isequal(coolers(COST),1266))\r\n%%\r\nCOST = [897 655 269 739 879 390;...\r\n 866 864 153 13 903 300;...\r\n 801 275 631 606 153 735;...\r\n 555 841 317 577 193 105;...\r\n 419 71 960 808 791 793;...\r\n 128 379 499 655 61 783];\r\nassert(isequal(coolers(COST),1254))\r\n%%\r\nCOST = [533 130 314 596 463 399;...\r\n 254 451 642 537 368 478;...\r\n 71 673 787 331 680 67;...\r\n 626 857 290 412 568 412;...\r\n 25 499 498 795 652 970;...\r\n 63 49 819 344 492 781];\r\nassert(isequal(coolers(COST),1580))\r\n%%\r\nCOST = [730 112 727 411 679 798;...\r\n 766 397 148 143 254 712;...\r\n 757 493 148 799 844 784;...\r\n 844 259 705 931 294 624;...\r\n 771 37 381 5 27 826;...\r\n 979 975 77 651 94 36];\r\nassert(isequal(coolers(COST),953))\r\n%%\r\nCOST = [406 27 672 377 507 436;...\r\n 250 156 53 114 329 158;...\r\n 481 834 735 965 754 601;...\r\n 881 195 500 433 837 938;...\r\n 281 830 944 85 254 108;...\r\n 600 339 290 717 535 900];\r\nassert(isequal(coolers(COST),931))\r\n%%\r\nCOST = [551 355 642 427 787 943;...\r\n 428 774 128 34 512 97;...\r\n 153 882 497 930 563 846;...\r\n 248 735 311 925 685 910;...\r\n 448 407 579 359 93 12;...\r\n 533 605 944 260 873 524];\r\nassert(isequal(coolers(COST),1430))\r\n%%\r\nCOST = [651 279 401 430 885 568;...\r\n 386 840 555 38 256 895;...\r\n 650 427 444 976 910 215;...\r\n 763 632 91 523 895 4;...\r\n 576 834 745 910 399 881;...\r\n 632 271 33 384 626 236];\r\nassert(isequal(coolers(COST),1575))\r\n%%\r\nCOST = [245 391 532 153 716 903;...\r\n 641 802 889 231 281 290;...\r\n 305 158 264 658 413 500;...\r\n 826 626 235 563 363 784;...\r\n 884 699 840 292 782 678;...\r\n 946 86 496 623 136 150];\r\nassert(isequal(coolers(COST),1276))\r\n%%\r\nCOST = [697 977 429 793 902 349;...\r\n 130 126 15 420 52 166;...\r\n 946 753 326 533 809 29;...\r\n 887 828 135 926 335 956;...\r\n 516 782 451 900 229 681;...\r\n 680 191 573 545 823 861];\r\nassert(isequal(coolers(COST),772))\r\n%%\r\nCOST = [940 301 652 887 695 895;...\r\n 681 74 170 115 207 842;...\r\n 918 768 532 443 555 131;...\r\n 257 85 634 660 880 190;...\r\n 886 729 15 295 558 154;...\r\n 921 448 471 951 753 29];\r\nassert(isequal(coolers(COST),1239))\r\n%%\r\nCOST = [10 496 746 686 237 463;...\r\n 597 259 338 268 196 926;...\r\n 610 733 585 970 706 216;...\r\n 919 117 469 184 181 2;...\r\n 734 747 88 300 523 907;...\r\n 302 810 829 412 297 681];\r\nassert(isequal(coolers(COST),1182))\r\n%%\r\nCOST = [515 394 842 779 399 396;...\r\n 523 8 49 728 671 399;...\r\n 103 546 317 651 441 752;...\r\n 997 510 784 665 133 523;...\r\n 359 247 973 939 440 491;...\r\n 626 46 587 536 548 89];\r\nassert(isequal(coolers(COST),1435))\r\n%%\r\nCOST = [251 93 71 159 652 1;...\r\n 448 954 301 63 499 641;...\r\n 638 163 814 702 285 8;...\r\n 710 971 77 87 831 107;...\r\n 993 598 355 617 819 107;...\r\n 933 241 133 174 939 368];\r\nassert(isequal(coolers(COST),771))\r\n%%\r\nCOST = [240 788 66 813 71 954;...\r\n 347 270 611 815 242 209;...\r\n 250 844 702 90 732 117;...\r\n 388 741 112 732 41 647;...\r\n 422 827 96 904 425 109;...\r\n 641 183 598 453 541 984];\r\nassert(isequal(coolers(COST),1343))\r\n%%\r\nCOST = [249 916 747 918 880 282;...\r\n 607 901 476 471 799 169;...\r\n 817 215 584 270 325 746;...\r\n 831 548 261 763 670 478;...\r\n 490 785 85 773 297 654;...\r\n 761 195 299 22 930 967];\r\nassert(isequal(coolers(COST),1567))\r\n%%\r\nCOST = [314 77 818 283 736 557;...\r\n 77 154 767 639 157 274;...\r\n 792 827 375 593 435 133;...\r\n 366 301 190 326 833 700;...\r\n 586 384 647 989 360 486;...\r\n 184 651 4 124 77 183];\r\nassert(isequal(coolers(COST),956))\r\n%%\r\nCOST = [102 248 381 378 851 968;...\r\n 202 438 749 973 257 477;...\r\n 135 670 157 606 286 995;...\r\n 324 548 59 339 780 491;...\r\n 951 610 340 928 702 504;...\r\n 533 864 818 899 493 769];\r\nassert(isequal(coolers(COST),1799))\r\n%%\r\nCOST = [389 799 340 268 52 543;...\r\n 454 221 273 177 628 809;...\r\n 133 858 171 432 30 794;...\r\n 759 905 665 476 137 502;...\r\n 566 293 536 786 695 277;...\r\n 649 726 830 131 516 120];\r\nassert(isequal(coolers(COST),1234))\r\n%%\r\nCOST = [887 183 567 504 84 962;...\r\n 971 32 378 261 74 467;...\r\n 943 725 822 733 770 787;...\r\n 639 145 305 163 818 423;...\r\n 91 636 320 922 741 944;...\r\n 75 790 785 223 759 2];\r\nassert(isequal(coolers(COST),1447))\r\n%%\r\nCOST = [982 666 329 847 415 7;...\r\n 571 685 928 902 662 767;...\r\n 347 793 757 596 784 22;...\r\n 558 349 289 69 248 394;...\r\n 300 251 607 219 555 253;...\r\n 160 346 767 870 230 205];\r\nassert(isequal(coolers(COST),1039))\r\n%%\r\nCOST = [663 975 947 135 372 260;...\r\n 915 120 967 806 227 134;...\r\n 7 519 68 525 447 420;...\r\n 747 822 438 945 267 507;...\r\n 800 638 321 989 460 325;...\r\n 908 954 135 410 433 685];\r\nassert(isequal(coolers(COST),1081))\r\n%%\r\nCOST = [444 502 305 970 394 701;...\r\n 436 556 767 690 459 110;...\r\n 794 631 268 718 209 7;...\r\n 816 98 40 560 758 598;...\r\n 753 246 297 534 547 660;...\r\n 790 616 557 876 358 581];\r\nassert(isequal(coolers(COST),1667))\r\n%%\r\nCOST = [910 165 870 241 503 143;...\r\n 637 281 788 9 568 381;...\r\n 526 260 970 672 189 397;...\r\n 260 548 181 905 325 577;...\r\n 52 542 931 573 717 20;...\r\n 732 789 46 156 553 578];\r\nassert(isequal(coolers(COST),1369))\r\n%%\r\nCOST = [933 303 817 55 540 946;...\r\n 107 460 451 638 938 377;...\r\n 733 49 807 425 661 68;...\r\n 971 386 791 906 395 182;...\r\n 609 362 283 418 259 576;...\r\n 720 288 69 155 848 186];\r\nassert(isequal(coolers(COST),1495))\r\n%%\r\nCOST = [292 28 747 842 871 890;...\r\n 462 659 747 511 212 66;...\r\n 347 159 174 166 837 510;...\r\n 319 803 118 715 860 621;...\r\n 460 409 175 908 524 734;...\r\n 236 328 628 219 478 230];\r\nassert(isequal(coolers(COST),1040))\r\n%%\r\nCOST = [22 327 315 114 208 74;...\r\n 139 138 160 701 785 595;...\r\n 770 385 153 180 527 862;...\r\n 970 563 137 804 572 449;...\r\n 387 634 710 514 423 653;...\r\n 994 542 465 549 722 304];\r\nassert(isequal(coolers(COST),716))\r\n%%\r\nCOST = [608 457 948 406 340 75;...\r\n 279 600 453 439 896 664;...\r\n 800 843 811 679 546 704;...\r\n 797 32 929 466 750 919;...\r\n 955 188 673 954 125 661;...\r\n 445 944 373 355 454 691];\r\nassert(isequal(coolers(COST),2010))\r\n%%\r\nCOST = [854 26 473 324 731 29;...\r\n 468 57 679 802 774 128;...\r\n 459 143 115 300 901 134;...\r\n 807 172 237 776 139 129;...\r\n 825 626 290 553 795 936;...\r\n 191 30 173 555 190 274];\r\nassert(isequal(coolers(COST),1199))\r\n%%\r\nCOST = [943 546 850 417 382 152;...\r\n 639 256 8 518 723 437;...\r\n 873 306 635 887 96 13;...\r\n 368 16 360 150 668 230;...\r\n 237 588 115 435 297 264;...\r\n 188 963 541 60 599 512];\r\nassert(isequal(coolers(COST),627))\r\n%%\r\nCOST = [216 475 261 618 402 95;...\r\n 347 826 590 145 15 376;...\r\n 748 304 480 717 75 546;...\r\n 414 822 199 402 592 112;...\r\n 56 566 240 463 447 905;...\r\n 391 55 781 708 927 634];\r\nassert(isequal(coolers(COST),940))\r\n%%\r\nCOST = [906 61 814 762 771 880;...\r\n 631 674 316 876 876 374;...\r\n 15 478 312 872 68 767;...\r\n 317 306 345 173 647 169;...\r\n 112 517 667 851 325 520;...\r\n 630 708 862 960 641 628];\r\nassert(isequal(coolers(COST),1043))\r\n%%\r\nCOST = [714 628 766 404 544 135;...\r\n 307 193 319 751 411 541;...\r\n 264 777 253 488 901 858;...\r\n 917 865 201 385 57 199;...\r\n 616 334 70 62 444 156;...\r\n 94 136 552 214 538 62];\r\nassert(isequal(coolers(COST),575))\r\n%%\r\nCOST = [662 683 487 77 915 603;...\r\n 19 138 680 445 92 466;...\r\n 292 630 705 166 994 299;...\r\n 974 858 461 399 97 134;...\r\n 765 900 365 921 314 296;...\r\n 244 349 281 512 786 167];\r\nassert(isequal(coolers(COST),1112))\r\n%%\r\nCOST = [318 40 863 414 595 658;...\r\n 110 617 277 415 310 685;...\r\n 833 670 532 984 902 474;...\r\n 972 38 523 58 94 142;...\r\n 219 4 568 397 320 951;...\r\n 707 143 334 792 887 883];\r\nassert(isequal(coolers(COST),1040))\r\n%%\r\nCOST = [438 952 914 477 226 187;...\r\n 835 2 534 251 568 647;...\r\n 326 296 805 308 999 129;...\r\n 368 49 563 967 132 82;...\r\n 795 443 751 209 955 660;...\r\n 100 790 10 521 124 28];\r\nassert(isequal(coolers(COST),914))\r\n%%\r\nCOST = [986 693 226 415 41 625;...\r\n 540 603 797 499 583 296;...\r\n 374 776 997 950 565 75;...\r\n 707 592 282 954 356 294;...\r\n 948 377 711 733 881 235;...\r\n 383 851 665 385 625 346];\r\nassert(isequal(coolers(COST),1955))\r\n%%\r\nCOST = [849 636 448 593 844 465;...\r\n 161 844 327 69 424 31;...\r\n 158 783 280 206 545 435;...\r\n 509 265 932 724 528 558;...\r\n 604 315 400 576 186 639;...\r\n 162 184 380 201 82 35];\r\nassert(isequal(coolers(COST),1044))\r\n%%\r\nCOST = [710 855 367 351 91 968;...\r\n 170 385 350 193 258 434;...\r\n 594 400 631 920 428 785;...\r\n 609 326 665 289 578 526;...\r\n 773 556 993 551 900 332;...\r\n 57 296 945 920 219 432];\r\nassert(isequal(coolers(COST),1623))\r\n%%\r\nCOST = [718 654 235 805 97 557;...\r\n 917 41 201 104 600 840;...\r\n 891 505 381 730 234 205;...\r\n 135 895 595 649 33 622;...\r\n 120 386 269 475 580 175;...\r\n 894 293 623 933 843 290];\r\nassert(isequal(coolers(COST),1365))\r\n%%\r\nCOST = [19 283 206 904 234 347;...\r\n 702 245 435 541 247 298;...\r\n 953 287 143 818 171 405;...\r\n 750 964 376 709 236 303;...\r\n 757 231 794 44 276 758;...\r\n 543 538 813 146 952 360];\r\nassert(isequal(coolers(COST),1417))\r\n%%\r\nCOST = [125 458 201 22 719 780;...\r\n 618 78 960 483 450 568;...\r\n 356 905 666 808 660 77;...\r\n 363 282 542 737 754 252;...\r\n 69 614 869 573 805 134;...\r\n 868 662 558 9 30 565];\r\nassert(isequal(coolers(COST),953))\r\n%%\r\nCOST = [541 43 122 494 863 421;...\r\n 69 528 592 856 685 488;...\r\n 989 257 360 725 635 461;...\r\n 252 409 720 200 142 516;...\r\n 316 948 524 158 80 272;...\r\n 301 920 261 371 877 232];\r\nassert(isequal(coolers(COST),1198))\r\n%%\r\nCOST = [900 895 226 336 740 434;...\r\n 909 88 105 620 889 290;...\r\n 604 540 10 993 860 632;...\r\n 366 429 60 649 598 296;...\r\n 599 618 323 540 655 623;...\r\n 669 559 780 233 916 48];\r\nassert(isequal(coolers(COST),2054))\r\n%%\r\nCOST = [995 67 543 281 171 63;...\r\n 207 928 781 599 372 407;...\r\n 608 88 522 37 40 464;...\r\n 348 333 932 64 710 203;...\r\n 718 527 148 323 642 870;...\r\n 28 247 417 99 175 598];\r\nassert(isequal(coolers(COST),730))\r\n%%\r\nCOST = [24 867 571 301 445 250;...\r\n 900 616 326 522 983 956;...\r\n 453 27 451 562 579 143;...\r\n 59 323 578 242 235 513;...\r\n 107 464 75 913 811 972;...\r\n 999 100 58 826 452 649];\r\nassert(isequal(coolers(COST),902))\r\n%%\r\nCOST = [615 424 874 119 114 462;...\r\n 470 274 301 99 491 864;...\r\n 578 445 401 891 600 263;...\r\n 912 628 518 34 91 824;...\r\n 377 535 62 840 979 329;...\r\n 229 386 232 508 654 942];\r\nassert(isequal(coolers(COST),1065))\r\n%%\r\nCOST = [245 314 524 145 800 565;...\r\n 958 58 893 245 209 218;...\r\n 511 45 406 379 897 858;...\r\n 565 813 605 271 746 862;...\r\n 994 413 95 216 537 314;...\r\n 771 385 336 634 970 327];\r\nassert(isequal(coolers(COST),1381))\r\n%%\r\nCOST = [841 334 286 610 505 816;...\r\n 493 367 657 384 8 910;...\r\n 52 795 232 31 920 778;...\r\n 779 39 622 858 411 758;...\r\n 427 727 76 604 733 406;...\r\n 280 873 967 848 152 702];\r\nassert(isequal(coolers(COST),1140))\r\n%%\r\nCOST = [566 563 904 539 781 176;...\r\n 585 547 605 738 537 417;...\r\n 345 551 927 182 770 740;...\r\n 705 695 117 427 639 893;...\r\n 161 928 341 99 894 26;...\r\n 2 945 37 304 61 138];\r\nassert(isequal(coolers(COST),1153))\r\n%%\r\nCOST = [425 619 192 805 191 892;...\r\n 765 7 715 860 504 674;...\r\n 525 741 178 567 51 686;...\r\n 755 992 987 755 57 696;...\r\n 170 129 17 520 336 800;...\r\n 673 361 40 586 631 661];\r\nassert(isequal(coolers(COST),1579))\r\n%%\r\nCOST = [520 255 928 227 995 523;...\r\n 332 846 588 2 984 274;...\r\n 935 539 102 894 965 719;...\r\n 247 911 367 454 667 779;...\r\n 512 351 276 579 727 82;...\r\n 741 936 267 316 335 222];\r\nassert(isequal(coolers(COST),1598))\r\n%%\r\nCOST = [204 470 675 379 889 587;...\r\n 625 379 552 618 563 969;...\r\n 726 341 52 563 195 582;...\r\n 835 64 308 831 222 100;...\r\n 19 762 966 958 706 167;...\r\n 203 403 932 76 597 103];\r\nassert(isequal(coolers(COST),993))\r\n%%\r\nCOST = [147 800 210 627 782 774;...\r\n 672 400 481 412 936 748;...\r\n 640 756 113 639 740 319;...\r\n 373 296 133 857 254 511;...\r\n 163 641 65 764 720 774;...\r\n 390 886 80 977 694 573];\r\nassert(isequal(coolers(COST),1784))\r\n%%\r\nCOST = [954 463 111 359 365 588;...\r\n 172 130 200 135 400 778;...\r\n 908 550 163 999 927 658;...\r\n 753 970 37 514 496 529;...\r\n 287 443 273 388 610 826;...\r\n 628 591 231 250 5 963];\r\nassert(isequal(coolers(COST),1501))\r\n%%\r\nCOST = [314 306 715 905 664 101;...\r\n 798 19 460 387 603 287;...\r\n 286 163 920 604 657 355;...\r\n 15 444 989 561 310 536;...\r\n 95 767 933 846 332 991;...\r\n 329 682 462 285 189 29];\r\nassert(isequal(coolers(COST),1729))\r\n%%\r\nCOST = [710 876 77 818 359 455;...\r\n 906 865 377 174 364 30;...\r\n 866 356 150 677 268 638;...\r\n 120 632 35 876 338 60;...\r\n 956 865 783 758 87 170;...\r\n 441 21 328 230 452 685];\r\nassert(isequal(coolers(COST),1098))\r\n%%\r\nCOST = [555 461 15 279 896 625;...\r\n 7 371 5 645 888 207;...\r\n 289 825 167 288 394 110;...\r\n 377 538 366 322 676 566;...\r\n 147 818 719 156 253 275;...\r\n 75 461 160 388 950 72];\r\nassert(isequal(coolers(COST),1175))\r\n%%\r\nCOST = [159 896 447 617 948 551;...\r\n 50 608 812 304 334 161;...\r\n 681 15 145 90 390 118;...\r\n 782 345 975 522 151 399;...\r\n 808 534 834 826 334 832;...\r\n 266 628 341 764 554 186];\r\nassert(isequal(coolers(COST),569))\r\n%%\r\nCOST = [501 491 579 185 613 662;...\r\n 127 887 776 198 738 896;...\r\n 865 906 662 862 304 275;...\r\n 767 499 470 126 43 998;...\r\n 565 530 220 646 836 835;...\r\n 390 910 603 438 370 792];\r\nassert(isequal(coolers(COST),1584))\r\n%%\r\nCOST = [657 988 206 794 242 185;...\r\n 544 789 495 682 210 88;...\r\n 387 853 32 651 273 309;...\r\n 823 486 828 238 776 231;...\r\n 596 874 265 478 332 910;...\r\n 782 334 678 937 604 937];\r\nassert(isequal(coolers(COST),1504))\r\n%%\r\nCOST = [32 626 369 811 16 974;...\r\n 594 256 338 724 95 373;...\r\n 44 905 619 675 515 321;...\r\n 425 768 87 914 953 784;...\r\n 522 563 376 821 844 213;...\r\n 841 898 188 549 936 960];\r\nassert(isequal(coolers(COST),1717))\r\n%%\r\nCOST = [931 594 600 844 914 151;...\r\n 366 98 227 771 577 947;...\r\n 345 560 714 510 288 651;...\r\n 693 44 725 707 267 983;...\r\n 717 758 345 792 891 194;...\r\n 801 660 33 331 367 829];\r\nassert(isequal(coolers(COST),1626))\r\n%%\r\nCOST = [494 60 648 497 429 28;...\r\n 591 516 624 763 42 906;...\r\n 45 54 954 180 226 472;...\r\n 565 844 177 692 667 911;...\r\n 634 595 475 915 872 328;...\r\n 499 692 843 163 345 692];\r\nassert(isequal(coolers(COST),526))\r\n%%\r\nCOST = [18 334 151 424 616 681;...\r\n 513 633 839 529 102 394;...\r\n 332 416 727 276 670 392;...\r\n 337 577 109 828 348 207;...\r\n 954 960 162 793 670 725;...\r\n 751 616 298 274 296 820];\r\nassert(isequal(coolers(COST),1421))\r\n%%\r\nCOST = [927 854 101 228 459 109;...\r\n 515 430 413 358 952 652;...\r\n 194 926 925 925 133 147;...\r\n 603 374 56 503 71 694;...\r\n 199 699 385 804 707 626;...\r\n 411 589 241 351 932 44];\r\nassert(isequal(coolers(COST),1345))\r\n%%\r\nCOST = [798 582 93 769 788 680;...\r\n 987 602 334 283 125 10;...\r\n 437 253 652 650 158 129;...\r\n 345 655 504 923 415 764;...\r\n 49 61 531 331 688 842;...\r\n 226 941 380 814 658 747];\r\nassert(isequal(coolers(COST),1350))\r\n%%\r\nCOST = [945 618 338 215 587 443;...\r\n 920 559 552 293 939 692;...\r\n 224 731 744 450 619 760;...\r\n 510 64 413 241 251 400;...\r\n 788 493 508 264 103 568;...\r\n 523 230 129 892 547 206];\r\nassert(isequal(coolers(COST),1251))\r\n%%\r\nCOST = [944 708 393 379 767 434;...\r\n 513 657 243 634 337 103;...\r\n 277 779 282 32 626 237;...\r\n 230 581 905 921 327 972;...\r\n 953 504 703 470 312 699;...\r\n 690 879 854 520 647 660];\r\nassert(isequal(coolers(COST),1565))\r\n%%\r\nCOST = [327 450 172 573 377 40;...\r\n 20 769 722 832 394 565;...\r\n 571 628 90 348 429 50;...\r\n 37 315 918 780 424 873;...\r\n 265 293 430 709 219 861;...\r\n 191 79 80 591 497 339];\r\nassert(isequal(coolers(COST),1224))\r\n%%\r\nCOST = [975 347 346 214 761 636;...\r\n 955 234 903 936 580 803;...\r\n 989 756 13 970 622 670;...\r\n 158 226 133 376 490 472;...\r\n 3 449 389 985 221 945;...\r\n 249 260 841 123 145 592];\r\nassert(isequal(coolers(COST),1311))\r\n%%\r\nCOST = [227 932 883 581 327 592;...\r\n 684 697 780 627 288 1;...\r\n 321 96 19 112 497 904;...\r\n 749 246 771 214 182 683;...\r\n 999 935 686 37 934 74;...\r\n 270 480 868 445 941 997];\r\nassert(isequal(coolers(COST),804))\r\n%%\r\nCOST = [315 176 835 189 254 788;...\r\n 810 588 997 578 287 438;...\r\n 462 155 973 629 126 551;...\r\n 588 446 746 365 529 987;...\r\n 478 538 200 637 821 690;...\r\n 553 462 37 892 300 971];\r\nassert(isequal(coolers(COST),2037))\r\n%%\r\nCOST = [96 320 833 203 939 1;...\r\n 899 796 571 493 975 484;...\r\n 59 302 71 730 608 148;...\r\n 124 608 267 955 958 315;...\r\n 631 462 171 763 331 172;...\r\n 371 293 561 81 902 593];\r\nassert(isequal(coolers(COST),1341))\r\n%%\r\nCOST = [658 16 262 188 656 56;...\r\n 349 974 894 744 782 820;...\r\n 54 735 973 719 863 107;...\r\n 48 753 995 189 786 7;...\r\n 56 34 347 434 434 276;...\r\n 72 118 293 46 348 943];\r\nassert(isequal(coolers(COST),862))\r\n%%\r\nCOST = [675 962 293 837 855 788;...\r\n 386 823 439 42 174 175;...\r\n 857 11 399 424 536 720;...\r\n 675 142 138 76 295 233;...\r\n 609 483 953 314 903 208;...\r\n 440 581 361 946 82 217];\r\nassert(isequal(coolers(COST),1114))\r\n%%\r\nCOST = [977 461 237 907 842 269;...\r\n 382 4 832 993 684 981;...\r\n 636 465 438 391 172 313;...\r\n 47 825 508 827 238 572;...\r\n 233 872 186 955 435 612;...\r\n 875 302 152 894 26 902];\r\nassert(isequal(coolers(COST),1700))\r\n%%\r\nCOST = [397 297 634 847 995 269;...\r\n 693 572 965 41 429 758;...\r\n 205 317 201 330 268 610;...\r\n 63 810 599 710 473 967;...\r\n 623 366 84 861 161 774;...\r\n 689 699 545 501 159 573];\r\nassert(isequal(coolers(COST),1320))\r\n%%\r\nCOST = [451 355 996 87 199 597;...\r\n 288 581 84 520 657 323;...\r\n 753 299 469 553 699 831;...\r\n 95 714 94 686 460 123;...\r\n 107 361 726 300 158 252;...\r\n 735 719 913 602 422 938];\r\nassert(isequal(coolers(COST),1069))\r\n\r\n","published":true,"deleted":false,"likes_count":7,"comments_count":2,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":56,"test_suite_updated_at":"2020-04-03T23:22:52.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-01T22:04:29.000Z","updated_at":"2026-02-26T16:11:43.000Z","published_at":"2020-04-01T22:55:22.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn a certain chemical plant, 6 new pieces of cooling equipment (coolers) are to be installed in a vacant space. This vacant space was divided into a grid of 6 cells by 6 cells. Your task is to assign the 6 coolers to 6 cells in this grid with the following requirements:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThere must be one cooler for every column in the grid.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf you decide to install a cooler at row R, column C, then the cooler at column C+1 must be installed either on row R-1, R, or R+1 only. This is done to ease the connection of coolers by piping.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe total installation cost for the 6 coolers must be minimum.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, you are given a cost matrix (COST) in relation to the third requirement above. COST is a 6 x 6 matrix where the\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003er,c\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-th element is the cost of assigning any cooler to row\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\u003er\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, column\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\u003ec\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (All the coolers are identical). Write a function that accepts the matrix COST, and output the value of the minimum cost of installation. You are ensured that all elements of COST are integers in the range [1,1000].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn the sample test case below, the optimal placement is at the following rows: 4,3,3,2,2,2.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e COST = [695 766 710 119 752 548;\\n 318 796 755 499 256 139;\\n 951 187 277 960 506 150;\\n 35 490 680 341 700 258;\\n 439 446 656 586 891 841;\\n 382 647 163 224 960 255];\\n\u003e\u003e coolers(COST)\\nans = \\n 1393]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eMeanwhile, the optimal placement for the case below is at rows: 5,6,5,6,5,6\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e COST = [815 617 918 76 569 312;\\n 244 474 286 54 470 529;\\n 930 352 758 531 455 988;\\n 350 831 754 780 12 602;\\n 197 586 381 935 163 263;\\n 252 550 568 130 795 100];\\n\u003e\u003e coolers(COST)\\nans = \\n 1521]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45503,"title":"Place wastewater treatment processes in the correct order","description":"There are many technologies for treating wastewater. For example, grit chambers are used to remove heavy solids, filtration is used to remove smaller solids, chemical oxidation disinfects the water from bacteria, and so on. By performing these steps one after the other, it is possible to recycle sewage water back to nature.\r\n\r\nHowever, the steps must be performed in the correct order, i.e. some technologies must be performed before others. In this problem, we will label these technologies as 1, 2, ... *N*. You are then given a [ *K* x 2] matrix called *P*, which is a list of constraints to be read as follows:\r\n\r\n\"Technology *P*( _i_, 1) must be performed _before_ *P*( _i_, 2),\" for all rows _i_.\r\n\r\nYour task is to list all *N* technologies from left to right in the order that they should be performed, that is, without violating any constraint. If there are multiple possible orderings, choose the one in which the technologies with the smaller labels come earlier. Your output will be essential for designing the sequence of steps in a wastewater treatment plant. \r\n\r\nConsider the following example:\r\n\r\n N = 4; P = [1 2;\r\n 3 4];\r\nPossible orderings: [1 2 3 4], [1 3 2 4], [1 3 4 2],\r\n [3 1 2 4], [3 1 4 2], [3 4 1 2].\r\nDesired ordering: [1 2 3 4]\r\n\r\n\r\nAnother example:\r\n\r\n N = 4; P = [2 1;\r\n 2 4];\r\nPossible orderings: [2 1 3 4], [2 1 4 3], [2 3 1 4], [2 3 4 1],\r\n [2 4 1 3], [2 4 3 1], [3 2 1 4], [3 2 4 1].\r\nDesired ordering: [2 1 3 4]\r\n\r\n\r\nWrite a function that takes *N* and *P*, then output the desired ordering. \r\n\r\nYou are ensured that 1 \u003c= *N* \u003c= 100 and 1 \u003c= *K* \u003c= 100. All elements of *P* are within [1, *N*]. Furthermore, none of the constraints will be conflicting.","description_html":"\u003cp\u003eThere are many technologies for treating wastewater. For example, grit chambers are used to remove heavy solids, filtration is used to remove smaller solids, chemical oxidation disinfects the water from bacteria, and so on. By performing these steps one after the other, it is possible to recycle sewage water back to nature.\u003c/p\u003e\u003cp\u003eHowever, the steps must be performed in the correct order, i.e. some technologies must be performed before others. In this problem, we will label these technologies as 1, 2, ... \u003cb\u003eN\u003c/b\u003e. You are then given a [ \u003cb\u003eK\u003c/b\u003e x 2] matrix called \u003cb\u003eP\u003c/b\u003e, which is a list of constraints to be read as follows:\u003c/p\u003e\u003cp\u003e\"Technology \u003cb\u003eP\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, 1) must be performed \u003ci\u003ebefore\u003c/i\u003e \u003cb\u003eP\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, 2),\" for all rows \u003ci\u003ei\u003c/i\u003e.\u003c/p\u003e\u003cp\u003eYour task is to list all \u003cb\u003eN\u003c/b\u003e technologies from left to right in the order that they should be performed, that is, without violating any constraint. If there are multiple possible orderings, choose the one in which the technologies with the smaller labels come earlier. Your output will be essential for designing the sequence of steps in a wastewater treatment plant.\u003c/p\u003e\u003cp\u003eConsider the following example:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eN = 4; P = [1 2;\r\n 3 4];\r\nPossible orderings: [1 2 3 4], [1 3 2 4], [1 3 4 2],\r\n [3 1 2 4], [3 1 4 2], [3 4 1 2].\r\nDesired ordering: [1 2 3 4]\r\n\u003c/pre\u003e\u003cp\u003eAnother example:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eN = 4; P = [2 1;\r\n 2 4];\r\nPossible orderings: [2 1 3 4], [2 1 4 3], [2 3 1 4], [2 3 4 1],\r\n [2 4 1 3], [2 4 3 1], [3 2 1 4], [3 2 4 1].\r\nDesired ordering: [2 1 3 4]\r\n\u003c/pre\u003e\u003cp\u003eWrite a function that takes \u003cb\u003eN\u003c/b\u003e and \u003cb\u003eP\u003c/b\u003e, then output the desired ordering.\u003c/p\u003e\u003cp\u003eYou are ensured that 1 \u0026lt;= \u003cb\u003eN\u003c/b\u003e \u0026lt;= 100 and 1 \u0026lt;= \u003cb\u003eK\u003c/b\u003e \u0026lt;= 100. All elements of \u003cb\u003eP\u003c/b\u003e are within [1, \u003cb\u003eN\u003c/b\u003e]. Furthermore, none of the constraints will be conflicting.\u003c/p\u003e","function_template":"function y = order_processes(N,P)\r\n y = P(:)';\r\nend","test_suite":"%%\r\nfiletext = fileread('order_processes.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nN = 4; P = [1 2; 3 4];\r\ny_correct = [1 2 3 4];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 4; P = [2 1; 2 4];\r\ny_correct = [2 1 3 4];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 4; P = [3 2; 3 1];\r\ny_correct = [3 1 2 4];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 8; P = [3 5; 8 2; 5 1; 4 2; 4 5; 5 2; 6 2; 7 6; 4 6];\r\ny_correct = [3 4 5 1 7 6 8 2];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 77; P = [42 37; 27 29; 59 56; 24 72; 50 40; 18 54; 14 49; 75 70; ...\r\n12 34; 5 29; 56 68; 26 49; 22 2; 40 53; 54 49; 77 14; ...\r\n40 1; 3 1; 33 68; 25 47; 73 63; 33 47; 62 68; 35 49; ...\r\n60 52; 61 49; 74 44; 3 10; 4 2; 38 61; 30 18; 41 54; ...\r\n57 39; 29 14; 58 37; 23 17; 21 39; 18 49; 7 72; 72 44; ...\r\n42 66; 39 68; 51 14; 68 26; 53 41; 74 42; 30 49; 18 53; ...\r\n71 9; 50 54; 67 70; 57 30; 39 66; 36 20; 55 25; 59 44; ...\r\n25 49; 64 67; 56 49; 43 20; 28 74; 50 30; 70 68; 4 21; ...\r\n29 40; 17 40; 55 4; 75 37; 65 69; 12 54; 14 18; 65 40; ...\r\n6 63; 59 52; 63 54; 15 30; 11 66; 5 39; 61 54; 51 18; ...\r\n68 34; 15 62; 61 35; 5 14; 15 63; 37 26; 13 29; 21 29];\r\ny_correct = [3 5 6 7 8 10 11 12 13 15 16 19 22 23 17 24 27 28 31 32 ...\r\n33 36 38 43 20 45 46 48 50 51 55 4 2 21 25 29 47 57 30 39 ...\r\n58 59 56 60 52 61 35 62 64 65 40 1 67 69 71 9 72 73 63 74 ...\r\n42 44 66 75 37 70 68 26 34 76 77 14 18 53 41 54 49 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 96; P = [24 33; 83 43; 34 7; 68 88; 29 61; 6 16; 81 71; 29 2; ...\r\n74 5; 35 52; 52 76; 33 92; 49 46; 79 12; 7 59; 57 73; ...\r\n35 58; 88 13; 67 19; 28 53; 43 70; 53 36; 93 7; 86 36; ...\r\n72 62; 23 31; 57 42; 6 35; 11 4; 33 70; 54 10; 75 76; ...\r\n78 59; 42 90; 44 41; 20 87; 40 93; 23 52; 16 15; 63 84; ...\r\n10 59; 38 61; 5 62; 87 71; 31 21; 21 18; 52 93; 1 41; ...\r\n19 41; 67 81; 21 7; 36 74; 58 34; 35 78; 61 75; 84 92; ...\r\n8 90; 33 52; 81 96; 54 21; 71 21; 84 50; 41 93; 86 95; ...\r\n88 26; 74 93; 8 22; 96 7; 82 76; 24 67; 18 34; 30 33; ...\r\n29 16; 50 18; 75 62; 77 17; 56 65; 54 17; 54 48; 53 96; ...\r\n20 18; 18 41; 79 39; 53 34; 11 52; 49 24; 37 84; 63 58; ...\r\n95 41; 28 66; 61 53; 4 19; 49 66; 35 74; 48 76; 41 7; ...\r\n14 54; 1 92; 91 55; 92 15; ];\r\ny_correct = [1 3 6 8 9 11 4 14 20 22 23 25 27 28 29 2 16 30 31 32 ...\r\n35 37 38 40 44 45 47 49 24 33 46 51 52 54 10 48 56 57 42 60 ...\r\n61 53 63 58 64 65 66 67 19 68 69 72 73 75 77 17 78 79 12 39 ...\r\n80 81 82 76 83 43 70 84 50 85 86 36 74 5 62 87 71 21 18 34 ...\r\n88 13 26 89 90 91 55 92 15 94 95 41 93 96 7 59 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 49; P = [18 8; 8 42; 42 5; 3 32; 26 36; 16 40; 23 32; 10 13; ...\r\n37 15; 22 11; 23 14; 7 42; 34 28; 20 12; 5 13; 14 26; ...\r\n25 33; 32 28; 12 31; 12 36; 37 31; 19 13; 16 24; 9 32; ...\r\n22 12; 4 17; 18 14; 2 14; 2 23; 23 9; 23 3; ];\r\ny_correct = [1 2 4 6 7 10 16 17 18 8 19 20 21 22 11 12 23 3 9 14 ...\r\n24 25 26 27 29 30 32 33 34 28 35 36 37 15 31 38 39 40 41 42 ...\r\n5 13 43 44 45 46 47 48 49 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 33; P = [14 22; 8 1; 27 1; 8 11; 10 22; ];\r\ny_correct = [2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 ...\r\n22 23 24 25 26 27 1 28 29 30 31 32 33 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 92; P = [78 42; 69 14; 45 91; 4 46; 57 2; 62 14; 45 8; 15 6; ...\r\n23 21; 67 91; 83 72; 10 4; 34 76; 1 53; 1 30; 15 46; ...\r\n17 19; 42 57; 38 36; 82 92; 3 73; 27 33; 28 79; 54 6; ...\r\n92 2; 7 6; 7 69; 31 16; 84 76; ];\r\ny_correct = [1 3 5 7 9 10 4 11 12 13 15 17 18 19 20 22 23 21 24 25 ...\r\n26 27 28 29 30 31 16 32 33 34 35 37 38 36 39 40 41 43 44 45 ...\r\n8 46 47 48 49 50 51 52 53 54 6 55 56 58 59 60 61 62 63 64 ...\r\n65 66 67 68 69 14 70 71 73 74 75 77 78 42 57 79 80 81 82 83 ...\r\n72 84 76 85 86 87 88 89 90 91 92 2 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 100; P = [94 96; 34 13; 33 30; 4 11; 18 66; 19 70; 98 100; 46 4; ...\r\n83 77; 59 41; 17 97; 4 68; 90 28; 31 53; 53 37; 74 20; ...\r\n80 12; 91 30; 2 71; 48 60; 19 7; 78 60; 37 92; 73 30; ...\r\n58 59; 35 78; 51 68; 94 60; 59 94; 2 12; 76 14; 66 16; ...\r\n91 68; 5 57; 32 68; 43 60; 72 85; 75 89; 21 96; 93 41; ...\r\n40 50; 63 10; 44 56; 12 60; 14 29; 43 72; 85 51; 64 86; ...\r\n54 7; 94 30; 11 41; 24 16; 59 60; 20 13; 45 88; 77 79; ...\r\n67 54; 41 1; 18 33; 17 48; 31 60; 59 54; 81 19; 82 97; ...\r\n3 79; 70 1; 42 58; 10 19; 52 98; 74 90; 86 94; 57 55; ...\r\n47 87; 6 43; 90 15; 75 79; 3 51; 12 50; 56 39; 13 1; ...\r\n86 22; 57 73; 23 48; 100 32; 19 85; 32 1; 14 66; 86 87; ...\r\n10 89; 20 12; 59 22; 18 67; 20 32; 41 16; 15 48; 27 59; ...\r\n16 92; 12 66; 62 47; 32 51; ];\r\ny_correct = [2 3 5 6 8 9 17 18 21 23 24 25 26 27 31 33 34 35 36 38 ...\r\n40 42 43 44 45 46 4 11 49 52 53 37 56 39 57 55 58 59 61 62 ...\r\n47 63 10 64 65 67 54 69 71 72 73 74 20 13 75 76 14 29 78 80 ...\r\n12 50 66 81 19 7 70 82 83 77 79 84 85 86 22 87 88 89 90 15 ...\r\n28 48 91 93 41 16 92 94 30 60 95 96 97 98 99 100 32 1 51 68];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 65; P = [33 42; 43 32; 2 37; 10 37; 59 32; 32 49; 17 34; 14 33; ...\r\n7 10; 12 54; 5 18; 1 20; 65 19; 24 36; 20 36; 56 32; ...\r\n42 38; 48 36; 39 32; 24 65; 16 54; 9 17; 27 19; 17 16; ...\r\n26 46; 64 52; 38 34; 59 26; 52 38; 63 50; 28 13; 5 25; ...\r\n10 27; 36 16; 19 64; 23 52; 48 41; 22 38; 54 38; 63 46; ...\r\n44 2; 8 13; 47 65; 36 52; 46 42; 46 38; 51 27; 41 38; ...\r\n2 62; 42 54; 51 3; 1 36; 28 14; 45 19; 6 34; 30 39; ...\r\n20 26; 49 38; 17 14; 2 26; 20 7; 21 33; 20 41; 21 9; ...\r\n37 27; 44 46; 5 34; 53 44; 62 17; 51 62; 50 62; 32 38; ...\r\n41 42; 37 25; 22 65; 3 38; 45 37; 44 13; 3 61; 21 19];\r\ny_correct = [1 4 5 6 8 11 12 15 18 20 7 10 21 9 22 23 24 28 29 30 ...\r\n31 35 39 40 43 45 47 48 36 41 51 3 53 44 2 13 37 25 27 55 ...\r\n56 57 58 59 26 32 49 60 61 63 46 50 62 17 14 16 33 42 54 65 ...\r\n19 64 52 38 34 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 26; P = [26 20];\r\ny_correct = [1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 21 ...\r\n22 23 24 25 26 20];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 12; P = [9 4; 9 7; 6 9; 5 3; 6 11; 2 9; 6 4; 12 4; ...\r\n7 4; 12 6; 2 7; 2 6; 6 7; 1 7; 1 5; 1 10; ...\r\n1 6; 3 6; 10 7; 5 4; 8 6; 5 10; 11 9; 8 7];\r\ny_correct = [1 2 5 3 8 10 12 6 11 9 7 4 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 23; P = [19 6; 16 23; 7 14; 21 16; 9 2; 1 6; 7 6; 4 6; ...\r\n15 17; 22 21; 6 17; 18 17; 21 23; 14 17; 10 18; 10 23; ...\r\n20 21; 15 19; 20 5; 22 23; 10 12; 8 17; 2 22; 11 10; ...\r\n4 8; 8 9; 8 5; 7 19; 20 11; 9 17; 13 9; 17 21; ...\r\n8 21; 4 18; 2 18; 13 6; 3 2; 6 21; 4 10; 14 23; ...\r\n19 21; 17 16; 15 18; 10 6; 12 17; 1 18; 12 6; 3 21; ...\r\n20 6; 10 16; 7 18; 8 23; 14 22; 17 23; 7 23; 13 21];\r\ny_correct = [1 3 4 7 8 13 9 2 14 15 19 20 5 11 10 12 6 18 17 22 ...\r\n21 16 23 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 86; P = [74 53; 17 66; 84 7; 51 7; 24 57; 58 57; 10 20; 79 65; ...\r\n64 57; 58 39; 43 34; 45 63; 36 7; 4 77; 33 14; 75 19; ...\r\n86 4; 17 76; 54 6; 85 39; 74 39; 75 68; 28 20; 71 74; ...\r\n30 62; 85 65; 24 77; 69 42; 25 66; 40 11; 67 53; 84 6; ...\r\n85 62; 49 35; 54 5; 54 35; 82 64; 49 25; 42 39; 80 57; ...\r\n77 63; 16 46; 8 78; 30 63; 61 73; 75 66; 81 52; 25 63; ...\r\n33 26; 45 12; 9 40; 31 78; 55 30; 34 22; 7 25; 65 63; ...\r\n22 32; 34 52; 9 68; 48 73; 78 65; 73 40; 71 40; 14 68; ...\r\n3 65; 42 40; 15 61; 42 83; 56 74; 53 63; 59 49; 83 72; ...\r\n46 77; 3 10; 6 74; ];\r\ny_correct = [1 2 3 8 9 10 13 15 16 17 18 21 23 24 27 28 20 29 31 33 ...\r\n14 26 36 37 38 41 43 34 22 32 44 45 12 46 47 48 50 51 54 5 ...\r\n55 30 56 58 59 49 35 60 61 67 69 42 70 71 73 40 11 75 19 68 ...\r\n76 78 79 80 81 52 82 64 57 83 72 84 6 7 25 66 74 53 85 39 ...\r\n62 65 86 4 77 63 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":4,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":17,"test_suite_updated_at":"2020-05-07T23:35:01.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-05-07T22:19:51.000Z","updated_at":"2025-12-05T00:18:30.000Z","published_at":"2020-05-07T23:35:01.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThere are many technologies for treating wastewater. For example, grit chambers are used to remove heavy solids, filtration is used to remove smaller solids, chemical oxidation disinfects the water from bacteria, and so on. By performing these steps one after the other, it is possible to recycle sewage water back to nature.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eHowever, the steps must be performed in the correct order, i.e. some technologies must be performed before others. In this problem, we will label these technologies as 1, 2, ...\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. You are then given a [\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eK\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e x 2] matrix called\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, which is a list of constraints to be read as follows:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\"Technology\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 1) must be performed\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\u003ebefore\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 2),\\\" for all rows\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task is to list all\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e technologies from left to right in the order that they should be performed, that is, without violating any constraint. If there are multiple possible orderings, choose the one in which the technologies with the smaller labels come earlier. Your output will be essential for designing the sequence of steps in a wastewater treatment plant.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eConsider the following example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[N = 4; P = [1 2;\\n 3 4];\\nPossible orderings: [1 2 3 4], [1 3 2 4], [1 3 4 2],\\n [3 1 2 4], [3 1 4 2], [3 4 1 2].\\nDesired ordering: [1 2 3 4]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAnother example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[N = 4; P = [2 1;\\n 2 4];\\nPossible orderings: [2 1 3 4], [2 1 4 3], [2 3 1 4], [2 3 4 1],\\n [2 4 1 3], [2 4 3 1], [3 2 1 4], [3 2 4 1].\\nDesired ordering: [2 1 3 4]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then output the desired ordering.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are ensured that 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100 and 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eK\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100. All elements of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are within [1,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e]. Furthermore, none of the constraints will be conflicting.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"}],"problem_search":{"errors":[],"problems":[{"id":45498,"title":"Trace the path of a harmful chemical in an ecological network","description":"An ecological network consists of the cycles of nature, such as the water cycle, the carbon cycle, the oxygen cycle, etc. Due to human activities, harmful chemicals (or persistent pollutants) are now entering these cycles and may stay there forever. Your job is to track a specific unknown chemical inside an ecological network.\r\n\r\nFor this problem, a network involves *N* _sites_ in nature, labelled as _Site_ 1, _Site_ 2, ..., _Site_ *N*. Researchers have identified an ecological network for you, which is given as a [1 x *N*] row vector called *P*. The network is read as follows: \"A chemical that enters _Site i_ always end up at _Site *P*(i)_\". Consider the following example:\r\n\r\n If a chemical enters Site: 1 2 3 4 5\r\n it will end up at Site: P = [3 1 5 2 4]\r\n \r\nIf a harmful chemical enters the ecological network from _Site 2_, it will be traced to _Site 1_ (which is *P*(2)), then eventually at _Site 3_, then at _Site 5_, then at _Site 4_, then back to _Site 2_. Hence, the path of this chemical is [2 1 3 5 4].\r\n\r\nWrite a function that takes a vector *P* and a starting site *S*. Output the path of the chemical after it enters _Site *S*_ in the given ecological network. You are ensured that:\r\n\r\n* *P* is always a permutation of integers 1 to *N*.\r\n* 2 \u003c= *N* \u003c= 100\r\n* 1 \u003c= *S* \u003c= *N*\r\n\r\nSee sample test cases:\r\n\r\n \u003e\u003e trace_chemical([3 1 5 2 4],2)\r\n ans = \r\n 2 1 3 5 4\r\n\u003e\u003e trace_chemical([3 1 5 2 4],1)\r\n ans =\r\n 1 3 5 4 2\r\n\u003e\u003e trace_chemical([4 1 6 5 2 3],1)\r\n ans =\r\n 1 4 5 2","description_html":"\u003cp\u003eAn ecological network consists of the cycles of nature, such as the water cycle, the carbon cycle, the oxygen cycle, etc. Due to human activities, harmful chemicals (or persistent pollutants) are now entering these cycles and may stay there forever. Your job is to track a specific unknown chemical inside an ecological network.\u003c/p\u003e\u003cp\u003eFor this problem, a network involves \u003cb\u003eN\u003c/b\u003e \u003ci\u003esites\u003c/i\u003e in nature, labelled as \u003ci\u003eSite\u003c/i\u003e 1, \u003ci\u003eSite\u003c/i\u003e 2, ..., \u003ci\u003eSite\u003c/i\u003e \u003cb\u003eN\u003c/b\u003e. Researchers have identified an ecological network for you, which is given as a [1 x \u003cb\u003eN\u003c/b\u003e] row vector called \u003cb\u003eP\u003c/b\u003e. The network is read as follows: \"A chemical that enters \u003ci\u003eSite i\u003c/i\u003e always end up at \u003ci\u003eSite \u003cb\u003eP\u003c/b\u003e(i)\u003c/i\u003e\". Consider the following example:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eIf a chemical enters Site: 1 2 3 4 5\r\n it will end up at Site: P = [3 1 5 2 4]\r\n\u003c/pre\u003e\u003cp\u003eIf a harmful chemical enters the ecological network from \u003ci\u003eSite 2\u003c/i\u003e, it will be traced to \u003ci\u003eSite 1\u003c/i\u003e (which is \u003cb\u003eP\u003c/b\u003e(2)), then eventually at \u003ci\u003eSite 3\u003c/i\u003e, then at \u003ci\u003eSite 5\u003c/i\u003e, then at \u003ci\u003eSite 4\u003c/i\u003e, then back to \u003ci\u003eSite 2\u003c/i\u003e. Hence, the path of this chemical is [2 1 3 5 4].\u003c/p\u003e\u003cp\u003eWrite a function that takes a vector \u003cb\u003eP\u003c/b\u003e and a starting site \u003cb\u003eS\u003c/b\u003e. Output the path of the chemical after it enters \u003ci\u003eSite \u003cb\u003eS\u003c/b\u003e\u003c/i\u003e in the given ecological network. You are ensured that:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cb\u003eP\u003c/b\u003e is always a permutation of integers 1 to \u003cb\u003eN\u003c/b\u003e.\u003c/li\u003e\u003cli\u003e2 \u0026lt;= \u003cb\u003eN\u003c/b\u003e \u0026lt;= 100\u003c/li\u003e\u003cli\u003e1 \u0026lt;= \u003cb\u003eS\u003c/b\u003e \u0026lt;= \u003cb\u003eN\u003c/b\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eSee sample test cases:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; trace_chemical([3 1 5 2 4],2)\r\n ans = \r\n 2 1 3 5 4\r\n\u0026gt;\u0026gt; trace_chemical([3 1 5 2 4],1)\r\n ans =\r\n 1 3 5 4 2\r\n\u0026gt;\u0026gt; trace_chemical([4 1 6 5 2 3],1)\r\n ans =\r\n 1 4 5 2\r\n\u003c/pre\u003e","function_template":"function y = trace_chemical(P,S)\r\n y = P;\r\nend","test_suite":"%%\r\nfiletext = fileread('trace_chemical.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nP = [3 1 5 2 4];\r\nans = [2 1 3 5 4];\r\nassert(isequal(trace_chemical(P,2),ans))\r\n%%\r\nP = [3 1 5 2 4];\r\nans = [1 3 5 4 2];\r\nassert(isequal(trace_chemical(P,1),ans))\r\n%%\r\nP = [2 5 8 6 10 9 3 4 7 1 ];\r\nans = [8 4 6 9 7 3 ];\r\nassert(isequal(trace_chemical(P,8),ans))\r\n%%\r\nP = [36 15 70 23 1 60 35 13 19 41 48 20 49 44 68 29 9 61 51 38 ...\r\n 32 2 40 8 72 39 26 28 67 69 42 76 66 34 47 46 11 77 71 64 ...\r\n 4 37 80 18 74 52 7 33 58 50 27 3 45 55 65 43 21 54 31 6 ...\r\n 24 63 57 30 12 78 22 75 14 10 16 17 81 53 59 25 56 5 73 62 ...\r\n 79 ];\r\nans = [60 6 ];\r\nassert(isequal(trace_chemical(P,60),ans))\r\n%%\r\nP = [8 45 12 53 33 15 29 39 40 21 9 26 32 58 20 43 54 17 48 55 ...\r\n 5 49 37 57 16 46 36 10 34 6 38 50 11 27 22 42 19 4 13 47 ...\r\n 52 2 23 25 35 24 30 56 44 41 28 14 51 31 7 3 1 18 ];\r\nans = [35 22 49 44 25 16 43 23 37 19 48 56 3 12 26 46 24 57 1 8 ...\r\n 39 13 32 50 41 52 14 58 18 17 54 31 38 4 53 51 28 10 21 5 ...\r\n 33 11 9 40 47 30 6 15 20 55 7 29 34 27 36 42 2 45 ];\r\nassert(isequal(trace_chemical(P,35),ans))\r\n%%\r\nP = [9 28 7 42 18 16 30 17 24 20 41 29 13 15 44 8 27 23 12 19 ...\r\n 21 32 40 49 11 47 14 25 35 36 46 38 33 45 34 4 43 48 31 5 ...\r\n 3 10 26 39 37 1 22 6 2 ];\r\nans = [24 49 2 28 25 11 41 3 7 30 36 4 42 10 20 19 12 29 35 34 ...\r\n 45 37 43 26 47 22 32 38 48 6 16 8 17 27 14 15 44 39 31 46 ...\r\n 1 9 ];\r\nassert(isequal(trace_chemical(P,24),ans))\r\n%%\r\nP = [39 27 32 17 22 3 21 8 4 16 45 37 40 2 19 11 51 36 50 43 ...\r\n 13 44 12 30 48 28 42 35 10 14 5 38 15 9 20 18 6 26 31 24 ...\r\n 23 41 34 1 46 7 47 33 49 29 25 ];\r\nans = [11 45 46 7 21 13 40 24 30 14 2 27 42 41 23 12 37 6 3 32 ...\r\n 38 26 28 35 20 43 34 9 4 17 51 25 48 33 15 19 50 29 10 16 ];\r\nassert(isequal(trace_chemical(P,11),ans))\r\n%%\r\nP = [19 10 17 9 18 7 13 14 20 21 5 3 6 16 8 12 15 11 2 4 1];\r\nans = [4 9 20 ];\r\nassert(isequal(trace_chemical(P,4),ans))\r\n%%\r\nP = [12 1 5 66 26 29 64 68 2 33 38 41 55 8 18 49 27 47 22 50 ...\r\n 35 24 16 13 60 34 46 36 6 56 67 30 42 48 19 37 63 57 11 17 ...\r\n 40 59 15 23 45 32 61 44 53 31 28 10 62 9 21 7 52 14 39 51 ...\r\n 58 65 54 43 3 4 20 25 ];\r\nans = [26 34 48 44 23 16 49 53 62 65 3 5 ];\r\nassert(isequal(trace_chemical(P,26),ans))\r\n%%\r\nP = [65 8 29 66 49 72 61 38 18 33 58 62 67 40 20 27 46 1 5 6 ...\r\n 14 75 82 74 23 37 54 22 78 41 4 53 13 47 57 51 17 69 77 71 ...\r\n 64 35 25 44 21 70 19 76 36 10 81 42 60 79 28 31 9 48 3 56 ...\r\n 24 59 11 50 7 26 30 16 52 39 15 2 68 73 34 80 32 12 63 55 ...\r\n 45 43 ];\r\nans = [17 46 70 39 77 32 53 60 56 31 4 66 26 37 ];\r\nassert(isequal(trace_chemical(P,17),ans))\r\n%%\r\nP = [1 17 15 6 13 33 28 36 4 22 44 23 32 40 26 12 41 30 8 34 ...\r\n 37 14 21 5 9 10 29 3 35 38 11 43 31 16 19 27 24 45 39 7 ...\r\n 2 42 20 18 25 ];\r\nans = [14 40 7 28 3 15 26 10 22 ];\r\nassert(isequal(trace_chemical(P,14),ans))\r\n%%\r\nP = [1 17 21 15 6 24 13 5 4 18 2 9 3 29 10 28 12 23 11 25 ...\r\n 20 19 8 16 27 26 7 22 14 ];\r\nans = [10 18 23 8 5 6 24 16 28 22 19 11 2 17 12 9 4 15 ];\r\nassert(isequal(trace_chemical(P,10),ans))\r\n%%\r\nP = [6 2 3 4 1 7 5 ];\r\nans = [3 ];\r\nassert(isequal(trace_chemical(P,3),ans))\r\n%%\r\nP = [11 19 15 23 14 10 3 4 25 7 24 1 18 26 6 16 17 20 12 2 ...\r\n 13 22 9 21 8 5 ];\r\nans = [16 ];\r\nassert(isequal(trace_chemical(P,16),ans))\r\n%%\r\nP = [20 16 5 9 30 28 8 24 14 15 23 4 29 11 22 19 26 17 25 6 ...\r\n 27 18 3 2 1 13 31 12 10 21 7 ];\r\nans = [11 23 3 5 30 21 27 31 7 8 24 2 16 19 25 1 20 6 28 12 ...\r\n 4 9 14 ];\r\nassert(isequal(trace_chemical(P,11),ans))\r\n%%\r\nP = [1 18 16 8 15 21 27 22 23 17 26 19 3 4 9 11 7 6 29 2 ...\r\n 12 25 24 5 14 28 20 10 13 ];\r\nans = [22 25 14 4 8 ];\r\nassert(isequal(trace_chemical(P,22),ans))\r\n%%\r\nP = [38 48 42 87 57 89 92 12 20 62 59 51 26 29 45 55 10 71 44 69 ...\r\n 34 60 30 77 53 11 54 14 23 15 22 43 49 13 41 5 47 91 68 37 ...\r\n 9 3 76 31 85 33 40 1 63 70 18 8 17 35 90 36 24 83 94 21 ...\r\n 73 27 61 78 39 82 64 93 66 6 67 84 56 80 19 50 95 2 75 46 ...\r\n 74 16 81 72 4 25 86 32 28 52 65 58 88 7 79 ];\r\nans = [54 35 41 9 20 69 66 82 16 55 90 52 8 12 51 18 71 67 64 78 ...\r\n 2 48 1 38 91 65 39 68 93 88 32 43 76 50 70 6 89 28 14 29 ...\r\n 23 30 15 45 85 4 87 86 25 53 17 10 62 27 ];\r\nassert(isequal(trace_chemical(P,54),ans))\r\n%%\r\nP = [69 48 11 21 80 50 75 64 41 54 23 82 61 45 25 10 74 63 72 8 ...\r\n 15 81 42 60 59 65 35 37 70 33 76 24 36 49 56 18 38 6 44 39 ...\r\n 4 17 52 51 32 43 1 46 55 73 34 28 58 31 68 29 67 22 66 12 ...\r\n 53 5 16 77 19 7 13 26 57 79 3 47 71 40 14 30 2 20 62 9 ...\r\n 78 27 ];\r\nans = [27 35 56 29 70 79 62 5 80 9 41 4 21 15 25 59 66 7 75 14 ...\r\n 45 32 24 60 12 82 ];\r\nassert(isequal(trace_chemical(P,27),ans))\r\n%%\r\nP = [78 59 84 70 19 82 34 69 29 92 6 51 52 28 10 32 31 33 4 73 ...\r\n 24 89 99 68 64 47 46 95 94 21 53 44 62 26 93 91 58 55 98 79 ...\r\n 11 35 48 40 22 66 87 80 63 43 12 97 13 17 67 20 1 85 60 81 ...\r\n 25 50 88 49 96 90 76 83 36 15 75 23 41 86 39 9 8 54 7 61 ...\r\n 2 72 45 38 16 71 56 37 3 14 27 74 5 57 65 18 42 30 77 ];\r\nans = [85 16 32 44 40 79 7 34 26 47 87 56 20 73 41 11 6 82 72 23 ...\r\n 99 77 8 69 36 91 27 46 66 90 14 28 95 65 96 18 33 62 50 43 ...\r\n 48 80 61 25 64 49 63 88 37 58 ];\r\nassert(isequal(trace_chemical(P,85),ans))\r\n%%\r\nP = [86 17 25 63 38 72 9 64 56 10 7 26 43 28 36 40 24 71 41 22 ...\r\n 27 80 21 1 54 84 42 11 60 73 6 46 78 50 67 66 20 23 77 74 ...\r\n 57 44 85 75 16 13 47 14 29 48 19 58 2 39 81 83 59 33 49 61 ...\r\n 69 53 3 35 8 55 32 18 31 30 12 51 34 65 87 62 5 52 15 45 ...\r\n 4 68 82 76 70 37 79 ];\r\nans = [36 66 55 81 4 63 3 25 54 39 77 5 38 23 21 27 42 44 75 87 ...\r\n 79 15 ];\r\nassert(isequal(trace_chemical(P,36),ans))\r\n%%\r\nP = [25 7 4 6 16 30 24 28 9 3 31 13 10 23 2 26 29 8 5 20 ...\r\n 18 27 21 11 22 17 12 19 1 15 14 ];\r\nans = [21 18 8 28 19 5 16 26 17 29 1 25 22 27 12 13 10 3 4 6 ...\r\n 30 15 2 7 24 11 31 14 23 ];\r\nassert(isequal(trace_chemical(P,21),ans))\r\n%%\r\nP = [30 31 13 37 59 49 28 25 65 61 22 8 43 80 64 18 2 74 46 14 ...\r\n 85 12 62 5 55 67 48 42 78 83 47 15 79 89 34 68 54 90 3 44 ...\r\n 72 40 21 24 60 82 35 50 66 11 41 77 75 7 16 27 73 10 76 71 ...\r\n 33 56 39 53 38 19 36 84 69 81 23 87 9 51 70 86 88 1 26 57 ...\r\n 63 20 4 52 29 45 58 6 17 32 ];\r\nans = [78 1 30 83 4 37 54 7 28 42 40 44 24 5 59 76 86 45 60 71 ...\r\n 23 62 56 27 48 50 11 22 12 8 25 55 16 18 74 51 41 72 87 58 ...\r\n 10 61 33 79 26 67 36 68 84 52 77 88 6 49 66 19 46 82 20 14 ...\r\n 80 57 73 9 65 38 90 32 15 64 53 75 70 81 63 39 3 13 43 21 ...\r\n 85 29 ];\r\nassert(isequal(trace_chemical(P,78),ans))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":32,"test_suite_updated_at":"2020-05-07T02:09:17.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-05-06T19:35:57.000Z","updated_at":"2025-12-07T16:54:53.000Z","published_at":"2020-05-06T19:53:21.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAn ecological network consists of the cycles of nature, such as the water cycle, the carbon cycle, the oxygen cycle, etc. Due to human activities, harmful chemicals (or persistent pollutants) are now entering these cycles and may stay there forever. Your job is to track a specific unknown chemical inside an ecological network.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, a network involves\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\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\u003esites\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e in nature, labelled as\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eSite\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e 1,\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\u003eSite\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e 2, ...,\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\u003eSite\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Researchers have identified an ecological network for you, which is given as a [1 x\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e] row vector called\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The network is read as follows: \\\"A chemical that enters\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\u003eSite i\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e always end up at\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\u003eSite\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e(i)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e\\\". Consider the following example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[If a chemical enters Site: 1 2 3 4 5\\n it will end up at Site: P = [3 1 5 2 4]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf a harmful chemical enters the ecological network from\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\u003eSite 2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, it will be traced to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eSite 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (which is\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(2)), then eventually at\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\u003eSite 3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then at\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\u003eSite 5\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then at\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\u003eSite 4\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then back to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eSite 2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Hence, the path of this chemical is [2 1 3 5 4].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes a vector\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and a starting site\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Output the path of the chemical after it enters\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\u003eSite\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e in the given ecological network. You are ensured that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is always a permutation of integers 1 to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSee sample test cases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e trace_chemical([3 1 5 2 4],2)\\n ans = \\n 2 1 3 5 4\\n\u003e\u003e trace_chemical([3 1 5 2 4],1)\\n ans =\\n 1 3 5 4 2\\n\u003e\u003e trace_chemical([4 1 6 5 2 3],1)\\n ans =\\n 1 4 5 2]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45413,"title":"Characterize fluid flow in a pipe as to laminar or turbulent","description":"In fluid mechanics, characterizing the flow in a pipe is essential to predicting its behavior. The flow pattern can either be laminar (smooth/sheet-like), turbulent (rough/chaotic), or transitioning from laminar to turbulent. Intuitively, flow velocity is a dominant factor in determining the flow pattern: A slow-moving fluid is laminar, while a fast-moving one is turbulent. However, the flow pattern can also be influenced by pipe geometry, fluid viscosity, and fluid density.\r\n\r\nHence, instead of just flow velocity, engineers are using a number that better indicates the flow pattern called the Reynolds Number, *Re*. For a fluid flowing inside a circular pipe, *Re* is computed as follows:\r\n\r\n Re = D x v x rho / mu\r\n where:\r\n D = inside diameter of the pipe [m]\r\n v = mean flow velocity [m/s]\r\n rho = fluid density [kg/m^3]\r\n mu = fluid viscosity [Pa.s] or [kg/m/s]\r\n \r\nNote: Although it is not customary to use SI units for these quantities, this problem deals with SI units for ease. \r\n\r\nWe can then adopt the following rule: If *Re* \u003c 2300, the flow is laminar; if *Re* \u003e 2900, the flow is turbulent; otherwise, the flow is in transition. \r\n\r\nWrite a function that accepts a MATLAB variable, x, which is always a 4-element row vector containing the values (in SI) of |D|, |v|, |rho|, and |mu| in that order. Output the appropriate string among 'LAMINAR', 'TRANSITION', or 'TURBULENT', according to the rule above.\r\n\r\nSee sample test cases:\r\n\r\n \u003e\u003e flow_pattern([0.02 0.1 1000 8.9e-4])\r\nans =\r\n 'LAMINAR'\r\n\u003e\u003e flow_pattern([0.02 0.5 1000 8.9e-4])\r\nans =\r\n 'TURBULENT'\r\n\u003e\u003e flow_pattern([0.02 0.1 1200 8.9e-4])\r\nans =\r\n 'TRANSITION'\r\n \r\n","description_html":"\u003cp\u003eIn fluid mechanics, characterizing the flow in a pipe is essential to predicting its behavior. The flow pattern can either be laminar (smooth/sheet-like), turbulent (rough/chaotic), or transitioning from laminar to turbulent. Intuitively, flow velocity is a dominant factor in determining the flow pattern: A slow-moving fluid is laminar, while a fast-moving one is turbulent. However, the flow pattern can also be influenced by pipe geometry, fluid viscosity, and fluid density.\u003c/p\u003e\u003cp\u003eHence, instead of just flow velocity, engineers are using a number that better indicates the flow pattern called the Reynolds Number, \u003cb\u003eRe\u003c/b\u003e. For a fluid flowing inside a circular pipe, \u003cb\u003eRe\u003c/b\u003e is computed as follows:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eRe = D x v x rho / mu\r\n where:\r\n D = inside diameter of the pipe [m]\r\n v = mean flow velocity [m/s]\r\n rho = fluid density [kg/m^3]\r\n mu = fluid viscosity [Pa.s] or [kg/m/s]\r\n\u003c/pre\u003e\u003cp\u003eNote: Although it is not customary to use SI units for these quantities, this problem deals with SI units for ease.\u003c/p\u003e\u003cp\u003eWe can then adopt the following rule: If \u003cb\u003eRe\u003c/b\u003e \u0026lt; 2300, the flow is laminar; if \u003cb\u003eRe\u003c/b\u003e \u0026gt; 2900, the flow is turbulent; otherwise, the flow is in transition.\u003c/p\u003e\u003cp\u003eWrite a function that accepts a MATLAB variable, x, which is always a 4-element row vector containing the values (in SI) of \u003ctt\u003eD\u003c/tt\u003e, \u003ctt\u003ev\u003c/tt\u003e, \u003ctt\u003erho\u003c/tt\u003e, and \u003ctt\u003emu\u003c/tt\u003e in that order. Output the appropriate string among 'LAMINAR', 'TRANSITION', or 'TURBULENT', according to the rule above.\u003c/p\u003e\u003cp\u003eSee sample test cases:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; flow_pattern([0.02 0.1 1000 8.9e-4])\r\nans =\r\n 'LAMINAR'\r\n\u0026gt;\u0026gt; flow_pattern([0.02 0.5 1000 8.9e-4])\r\nans =\r\n 'TURBULENT'\r\n\u0026gt;\u0026gt; flow_pattern([0.02 0.1 1200 8.9e-4])\r\nans =\r\n 'TRANSITION'\r\n\u003c/pre\u003e","function_template":"function y = flow_pattern(x)\r\n y = x;\r\nend","test_suite":"%%\r\nassert(isequal(flow_pattern([0.025 0.089 986.29 0.00087]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.095 976.11 0.00089]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.124 1089.38 0.00080]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.095 1069.84 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.148 1004.66 0.00079]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.082 922.17 0.00078]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.084 1063.42 0.00081]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.030 0.127 924.05 0.00083]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.083 1014.92 0.00087]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.117 1080.37 0.00074]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.100 1077.98 0.00080]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.103 1014.85 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.020 0.120 1001.35 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.021 0.086 946.85 0.00074]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.089 910.72 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.067 1082.44 0.00076]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.070 1053.44 0.00071]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.066 957.29 0.00084]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.023 0.101 1044.27 0.00089]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.125 981.46 0.00075]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.030 0.072 1068.48 0.00083]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.129 993.82 0.00076]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.149 1053.99 0.00087]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.110 1050.57 0.00080]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.057 1093.71 0.00072]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.090 921.41 0.00084]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.128 1013.32 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.144 1074.29 0.00080]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.097 1065.76 0.00076]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.040 0.078 914.57 0.00085]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.142 965.40 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.096 1064.15 0.00089]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.022 0.121 946.99 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.025 0.133 1099.07 0.00083]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.143 1037.53 0.00081]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.028 0.113 972.65 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.097 1000.68 0.00088]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.084 1014.83 0.00080]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.025 0.108 1075.67 0.00071]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.029 0.058 1012.65 0.00081]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.073 1017.47 0.00079]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.116 970.78 0.00077]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.025 0.145 959.64 0.00073]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.124 1041.18 0.00084]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.020 0.087 1080.30 0.00076]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.080 925.00 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.148 1072.40 0.00072]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.027 0.074 963.56 0.00090]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.125 1068.37 0.00073]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.038 0.061 1049.02 0.00085]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.063 989.16 0.00080]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.136 1035.54 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.146 913.34 0.00081]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.098 1036.97 0.00074]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.083 1076.17 0.00073]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.022 0.146 930.58 0.00073]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.023 0.059 990.88 0.00083]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.129 1042.54 0.00079]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.146 1001.16 0.00076]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.074 946.86 0.00079]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.112 924.52 0.00072]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.124 982.26 0.00087]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.090 910.44 0.00081]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.035 0.082 998.59 0.00074]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.098 1008.00 0.00074]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.022 0.056 1063.90 0.00085]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.140 1036.86 0.00083]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.040 0.053 984.85 0.00080]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.058 1032.03 0.00071]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.031 0.121 997.58 0.00082]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.115 976.13 0.00072]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.028 0.076 948.26 0.00082]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.030 0.091 943.56 0.00087]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.078 1023.08 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.142 976.96 0.00073]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.061 931.76 0.00077]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.037 0.108 1017.24 0.00089]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.051 1061.88 0.00082]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.030 0.077 951.62 0.00080]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.025 0.055 933.85 0.00075]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.111 1064.74 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.036 0.121 1071.88 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.149 918.72 0.00083]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.024 0.074 967.94 0.00074]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.030 0.145 978.92 0.00082]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.032 0.121 980.31 0.00087]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.038 0.125 957.12 0.00086]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.023 0.100 1022.14 0.00084]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.028 0.123 1077.46 0.00071]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.023 0.136 984.35 0.00078]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.125 1096.20 0.00075]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.022 0.088 1000.05 0.00081]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.040 0.099 980.18 0.00090]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.025 0.117 1092.85 0.00083]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.103 900.29 0.00088]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.028 0.080 1090.12 0.00079]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.026 0.058 1016.44 0.00073]),'LAMINAR'))\r\n%%\r\nassert(isequal(flow_pattern([0.021 0.108 957.40 0.00077]),'TRANSITION'))\r\n%%\r\nassert(isequal(flow_pattern([0.034 0.136 969.58 0.00089]),'TURBULENT'))\r\n%%\r\nassert(isequal(flow_pattern([0.039 0.071 1053.65 0.00082]),'TURBULENT'))\r\n","published":true,"deleted":false,"likes_count":6,"comments_count":1,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":149,"test_suite_updated_at":"2020-04-01T01:14:34.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-01T00:39:41.000Z","updated_at":"2026-04-06T13:01:23.000Z","published_at":"2020-04-01T01:14:34.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn fluid mechanics, characterizing the flow in a pipe is essential to predicting its behavior. The flow pattern can either be laminar (smooth/sheet-like), turbulent (rough/chaotic), or transitioning from laminar to turbulent. Intuitively, flow velocity is a dominant factor in determining the flow pattern: A slow-moving fluid is laminar, while a fast-moving one is turbulent. However, the flow pattern can also be influenced by pipe geometry, fluid viscosity, and fluid density.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eHence, instead of just flow velocity, engineers are using a number that better indicates the flow pattern called the Reynolds Number,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eRe\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. For a fluid flowing inside a circular pipe,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eRe\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is computed as follows:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[Re = D x v x rho / mu\\n where:\\n D = inside diameter of the pipe [m]\\n v = mean flow velocity [m/s]\\n rho = fluid density [kg/m^3]\\n mu = fluid viscosity [Pa.s] or [kg/m/s]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote: Although it is not customary to use SI units for these quantities, this problem deals with SI units for ease.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWe can then adopt the following rule: If\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eRe\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt; 2300, the flow is laminar; if\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eRe\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026gt; 2900, the flow is turbulent; otherwise, the flow is in transition.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts a MATLAB variable, x, which is always a 4-element row vector containing the values (in SI) of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eD\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003erho\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emu\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e in that order. Output the appropriate string among 'LAMINAR', 'TRANSITION', or 'TURBULENT', according to the rule above.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSee sample test cases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e flow_pattern([0.02 0.1 1000 8.9e-4])\\nans =\\n 'LAMINAR'\\n\u003e\u003e flow_pattern([0.02 0.5 1000 8.9e-4])\\nans =\\n 'TURBULENT'\\n\u003e\u003e flow_pattern([0.02 0.1 1200 8.9e-4])\\nans =\\n 'TRANSITION']]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45392,"title":"Convert a temperature reading from Celsius to an unknown scale","description":"Two of the most famous temperature scales are the Celsius and the Fahrenheit scale. In reality, however, there are so many other temperature scales used in the chemical industry. \r\n \r\nLet's assume that all temperature conversions are of the form Y = AX + B where A and B are conversion constants, and X and Y are the temperature readings. If you are given two sample conversions from one scale to another, then you can convert any other value to and from that scale with this assumption. Take the Rankine scale for example. If we know that 476.85 degrees Celsius converts to 1350 degrees Rankine and 226.85 degrees Celsius converts to 900 degrees Rankine, then we can compute that 40 degrees Celsius is equal to 563.67 degrees Rankine.\r\n \r\nMake a program that accepts 5 decimal numbers X1, Y1, X2, Y2, and T. Let’s name a new temperature scale 'Franklin'. If X1 degrees Celsius convert to Y1 degrees Franklin and X2 degrees Celsius convert to Y2 degrees Franklin, output a decimal number, rounded to 2 decimal places, denoting the degrees Franklin equivalent of T degrees Celsius. You are guaranteed that:\r\n\r\n* All inputs are in the range [-1000, 1000].\r\n* Each test case is valid and has a unique solution.\r\n","description_html":"\u003cp\u003eTwo of the most famous temperature scales are the Celsius and the Fahrenheit scale. In reality, however, there are so many other temperature scales used in the chemical industry.\u003c/p\u003e\u003cp\u003eLet's assume that all temperature conversions are of the form Y = AX + B where A and B are conversion constants, and X and Y are the temperature readings. If you are given two sample conversions from one scale to another, then you can convert any other value to and from that scale with this assumption. Take the Rankine scale for example. If we know that 476.85 degrees Celsius converts to 1350 degrees Rankine and 226.85 degrees Celsius converts to 900 degrees Rankine, then we can compute that 40 degrees Celsius is equal to 563.67 degrees Rankine.\u003c/p\u003e\u003cp\u003eMake a program that accepts 5 decimal numbers X1, Y1, X2, Y2, and T. Let’s name a new temperature scale 'Franklin'. If X1 degrees Celsius convert to Y1 degrees Franklin and X2 degrees Celsius convert to Y2 degrees Franklin, output a decimal number, rounded to 2 decimal places, denoting the degrees Franklin equivalent of T degrees Celsius. You are guaranteed that:\u003c/p\u003e\u003cul\u003e\u003cli\u003eAll inputs are in the range [-1000, 1000].\u003c/li\u003e\u003cli\u003eEach test case is valid and has a unique solution.\u003c/li\u003e\u003c/ul\u003e","function_template":"function y = celsius_to_franklin(X1,Y1,X2,Y2,T)\r\n y = x;\r\nend","test_suite":"%%\r\nassert(isequal(celsius_to_franklin(605.86,942.86,701.08,873.83,981.92),670.23))\r\n%%\r\nassert(isequal(celsius_to_franklin(-283.48,-820.99,34.93,-540.53,578.22),-61.99))\r\n%%\r\nassert(isequal(celsius_to_franklin(-642.38,-545.91,-236.27,259.69,641.57),2001.06))\r\n%%\r\nassert(isequal(celsius_to_franklin(-388.76,740.12,-355.52,996.42,156.00),4940.54))\r\n%%\r\nassert(isequal(celsius_to_franklin(-424.57,-136.40,-544.47,-598.13,-454.91),-253.24))\r\n%%\r\nassert(isequal(celsius_to_franklin(-943.67,428.22,-381.09,-96.63,823.88),-1220.79))\r\n%%\r\nassert(isequal(celsius_to_franklin(205.93,437.77,-539.18,6.82,-447.39),59.91))\r\n%%\r\nassert(isequal(celsius_to_franklin(863.18,284.69,-263.58,368.62,926.41),279.98))\r\n%%\r\nassert(isequal(celsius_to_franklin(-147.74,127.01,-672.12,-960.23,-492.42),-587.64))\r\n%%\r\nassert(isequal(celsius_to_franklin(-470.00,-330.01,245.92,32.44,368.50),94.50))\r\n%%\r\nassert(isequal(celsius_to_franklin(-953.62,-685.32,-111.79,461.55,-660.24),-285.63))\r\n%%\r\nassert(isequal(celsius_to_franklin(657.17,897.22,-335.17,803.76,-866.72),753.70))\r\n%%\r\nassert(isequal(celsius_to_franklin(584.48,-166.12,259.41,-70.18,555.04),-157.43))\r\n%%\r\nassert(isequal(celsius_to_franklin(-409.79,-416.75,-96.33,609.90,-841.00),-1829.06))\r\n%%\r\nassert(isequal(celsius_to_franklin(-307.20,-48.77,366.97,569.72,-590.24),-308.43))\r\n%%\r\nassert(isequal(celsius_to_franklin(-640.68,-365.85,-741.44,-757.17,-230.91),1225.57))\r\n%%\r\nassert(isequal(celsius_to_franklin(-132.47,214.18,-277.77,782.82,-612.67),2093.47))\r\n%%\r\nassert(isequal(celsius_to_franklin(-690.34,-308.03,216.70,-736.01,-355.91),-465.83))\r\n%%\r\nassert(isequal(celsius_to_franklin(927.61,379.39,698.87,962.06,-538.43),4113.84))\r\n%%\r\nassert(isequal(celsius_to_franklin(-886.01,-463.51,756.77,803.12,87.47),287.07))\r\n%%\r\nassert(isequal(celsius_to_franklin(-502.42,-588.56,-206.72,-98.65,321.02),775.70))\r\n%%\r\nassert(isequal(celsius_to_franklin(-153.74,7.78,-682.05,-719.25,120.16),384.71))\r\n%%\r\nassert(isequal(celsius_to_franklin(-144.83,-134.94,-189.12,-37.86,-515.74),678.06))\r\n%%\r\nassert(isequal(celsius_to_franklin(-995.20,151.44,-741.17,-470.43,-406.85),-1288.85))\r\n%%\r\nassert(isequal(celsius_to_franklin(871.26,-14.30,236.99,-926.20,-443.03),-1903.88))\r\n%%\r\nassert(isequal(celsius_to_franklin(715.15,782.47,47.57,-466.79,44.72),-472.12))\r\n%%\r\nassert(isequal(celsius_to_franklin(899.12,-837.45,-191.19,-256.33,-293.28),-201.92))\r\n%%\r\nassert(isequal(celsius_to_franklin(-202.59,-537.15,-192.74,407.01,299.90),47628.43))\r\n%%\r\nassert(isequal(celsius_to_franklin(913.66,334.21,33.59,-112.18,-55.21),-157.22))\r\n%%\r\nassert(isequal(celsius_to_franklin(955.44,756.25,-738.91,-848.13,114.84),-39.71))\r\n%%\r\nassert(isequal(celsius_to_franklin(-666.83,-718.81,55.93,-298.83,-586.09),-671.89))\r\n%%\r\nassert(isequal(celsius_to_franklin(147.36,-107.49,37.96,373.14,543.46),-1847.69))\r\n%%\r\nassert(isequal(celsius_to_franklin(-187.90,-485.31,-936.87,953.10,-349.60),-174.76))\r\n%%\r\nassert(isequal(celsius_to_franklin(-341.01,93.29,-190.04,507.03,-51.48),886.76))\r\n%%\r\nassert(isequal(celsius_to_franklin(584.80,435.13,-16.48,-899.54,29.33),-797.85))\r\n%%\r\nassert(isequal(celsius_to_franklin(-340.40,903.99,-371.65,-204.97,884.36),44366.71))\r\n%%\r\nassert(isequal(celsius_to_franklin(-781.65,-583.60,127.07,910.74,-822.91),-651.45))\r\n%%\r\nassert(isequal(celsius_to_franklin(-386.75,-935.79,531.29,-280.34,-408.39),-951.24))\r\n%%\r\nassert(isequal(celsius_to_franklin(161.90,440.48,-210.43,-49.91,269.72),582.49))\r\n%%\r\nassert(isequal(celsius_to_franklin(-748.00,558.83,611.62,-70.60,-33.59),228.10))\r\n%%\r\nassert(isequal(celsius_to_franklin(657.96,-975.96,777.84,21.10,-407.55),-9837.97))\r\n%%\r\nassert(isequal(celsius_to_franklin(-230.46,-919.89,-284.33,499.32,-234.82),-805.03))\r\n%%\r\nassert(isequal(celsius_to_franklin(-301.12,-825.93,814.58,-552.94,507.82),-628.00))\r\n%%\r\nassert(isequal(celsius_to_franklin(697.75,701.18,10.89,34.27,653.33),658.05))\r\n%%\r\nassert(isequal(celsius_to_franklin(280.00,888.78,-786.06,403.46,708.18),1083.71))\r\n%%\r\nassert(isequal(celsius_to_franklin(-10.67,543.28,264.36,637.92,894.65),854.81))\r\n%%\r\nassert(isequal(celsius_to_franklin(-206.85,153.56,-128.64,-453.56,89.79),-2149.16))\r\n%%\r\nassert(isequal(celsius_to_franklin(-76.51,-747.71,305.05,982.05,-576.62),-3014.90))\r\n%%\r\nassert(isequal(celsius_to_franklin(292.10,-573.74,-958.20,-149.66,113.10),-513.03))\r\n%%\r\nassert(isequal(celsius_to_franklin(792.56,-79.19,-775.41,-838.95,-698.15),-801.51))\r\n%%\r\nassert(isequal(celsius_to_franklin(-396.81,922.69,629.52,-216.29,678.00),-270.09))\r\n%%\r\nassert(isequal(celsius_to_franklin(-517.35,852.83,-16.57,-944.12,849.97),-4053.53))\r\n%%\r\nassert(isequal(celsius_to_franklin(-434.10,504.36,-908.25,-132.70,317.96),1514.82))\r\n%%\r\nassert(isequal(celsius_to_franklin(829.18,913.01,168.51,348.27,731.39),829.42))\r\n%%\r\nassert(isequal(celsius_to_franklin(-333.40,-166.89,-456.37,639.93,-427.43),450.05))\r\n%%\r\nassert(isequal(celsius_to_franklin(-294.90,-60.17,550.47,304.60,671.10),356.65))\r\n%%\r\nassert(isequal(celsius_to_franklin(485.15,789.20,766.49,210.31,465.73),829.16))\r\n%%\r\nassert(isequal(celsius_to_franklin(203.09,-17.32,914.47,-533.31,-199.58),274.75))\r\n%%\r\nassert(isequal(celsius_to_franklin(966.57,445.31,-794.28,-130.59,-831.11),-142.64))\r\n%%\r\nassert(isequal(celsius_to_franklin(-738.77,-731.47,-714.39,984.04,-269.54),32286.12))\r\n%%\r\nassert(isequal(celsius_to_franklin(930.51,64.10,-449.17,775.23,87.89),498.41))\r\n%%\r\nassert(isequal(celsius_to_franklin(-868.15,640.06,347.72,-454.46,17.03),-156.77))\r\n%%\r\nassert(isequal(celsius_to_franklin(-937.82,569.83,-404.13,866.50,-171.47),995.83))\r\n%%\r\nassert(isequal(celsius_to_franklin(-169.08,901.62,-131.93,-661.45,-597.44),18924.68))\r\n%%\r\nassert(isequal(celsius_to_franklin(-189.62,-713.35,-270.02,-220.67,637.73),-5783.24))\r\n%%\r\nassert(isequal(celsius_to_franklin(492.42,-319.45,141.79,288.15,113.21),337.68))\r\n%%\r\nassert(isequal(celsius_to_franklin(283.90,-538.88,-437.08,918.34,-115.93),269.24))\r\n%%\r\nassert(isequal(celsius_to_franklin(-306.06,561.45,469.95,418.77,357.52),439.44))\r\n%%\r\nassert(isequal(celsius_to_franklin(-750.15,755.17,-347.75,-855.09,549.57),-4445.84))\r\n%%\r\nassert(isequal(celsius_to_franklin(-522.01,440.91,261.38,-459.71,195.94),-384.48))\r\n%%\r\nassert(isequal(celsius_to_franklin(741.61,107.09,454.92,-904.42,-603.83),-4639.94))\r\n%%\r\nassert(isequal(celsius_to_franklin(91.21,547.62,235.88,78.98,176.30),271.98))\r\n%%\r\nassert(isequal(celsius_to_franklin(970.32,-331.81,24.95,989.19,396.94),469.39))\r\n%%\r\nassert(isequal(celsius_to_franklin(573.18,-145.55,-501.14,406.38,-809.38),564.74))\r\n%%\r\nassert(isequal(celsius_to_franklin(674.12,182.10,-769.93,-438.99,216.83),-14.58))\r\n%%\r\nassert(isequal(celsius_to_franklin(-501.54,364.36,122.84,736.62,105.33),726.18))\r\n%%\r\nassert(isequal(celsius_to_franklin(423.69,-98.78,-153.62,-130.92,663.06),-85.45))\r\n%%\r\nassert(isequal(celsius_to_franklin(796.67,-66.87,908.68,-989.81,987.42),-1638.61))\r\n%%\r\nassert(isequal(celsius_to_franklin(652.08,797.79,-377.24,-59.91,-383.42),-65.06))\r\n%%\r\nassert(isequal(celsius_to_franklin(-965.37,-955.60,-397.18,361.85,-445.66),249.44))\r\n%%\r\nassert(isequal(celsius_to_franklin(47.99,766.77,932.43,-754.90,521.98),-48.72))\r\n%%\r\nassert(isequal(celsius_to_franklin(511.24,231.31,-85.92,-985.28,-611.87),-2056.79))\r\n%%\r\nassert(isequal(celsius_to_franklin(768.55,-217.35,-262.56,-220.12,515.30),-218.03))\r\n%%\r\nassert(isequal(celsius_to_franklin(-413.15,-952.69,133.75,-922.77,-505.69),-957.75))\r\n%%\r\nassert(isequal(celsius_to_franklin(188.47,610.83,837.90,81.43,134.78),654.60))\r\n%%\r\nassert(isequal(celsius_to_franklin(-574.69,934.83,-668.57,-702.77,408.89),18091.95))\r\n%%\r\nassert(isequal(celsius_to_franklin(-485.25,-858.09,-316.38,869.88,-25.16),3849.80))\r\n%%\r\nassert(isequal(celsius_to_franklin(-723.68,-261.45,-214.48,-33.00,-356.68),-96.80))\r\n%%\r\nassert(isequal(celsius_to_franklin(264.40,131.68,-304.40,-659.34,772.14),837.78))\r\n%%\r\nassert(isequal(celsius_to_franklin(-927.25,687.47,846.53,-842.40,758.80),-766.73))\r\n%%\r\nassert(isequal(celsius_to_franklin(-874.43,-518.50,179.50,46.43,232.70),74.95))\r\n%%\r\nassert(isequal(celsius_to_franklin(-541.26,-857.08,-142.04,-777.46,25.32),-744.08))\r\n%%\r\nassert(isequal(celsius_to_franklin(363.20,879.66,545.24,-99.49,-34.24),3017.40))\r\n%%\r\nassert(isequal(celsius_to_franklin(166.07,415.49,693.31,-912.26,-204.72),1349.25))\r\n%%\r\nassert(isequal(celsius_to_franklin(587.20,644.09,-450.02,764.92,143.15),695.82))\r\n%%\r\nassert(isequal(celsius_to_franklin(-881.13,477.87,733.74,533.48,346.53),520.15))\r\n%%\r\nassert(isequal(celsius_to_franklin(21.10,833.97,33.12,94.93,-522.20),34238.33))\r\n%%\r\nassert(isequal(celsius_to_franklin(129.18,-721.79,-176.17,715.01,589.38),-2887.22))\r\n%%\r\nassert(isequal(celsius_to_franklin(453.99,259.96,-596.74,279.21,-811.28),283.14))\r\n%%\r\nassert(isequal(celsius_to_franklin(369.37,958.33,-425.57,-338.45,769.98),1611.84))\r\n","published":true,"deleted":false,"likes_count":9,"comments_count":2,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":159,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-26T17:54:38.000Z","updated_at":"2026-03-31T14:18:46.000Z","published_at":"2020-03-26T17:54:38.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eTwo of the most famous temperature scales are the Celsius and the Fahrenheit scale. In reality, however, there are so many other temperature scales used in the chemical industry.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eLet's assume that all temperature conversions are of the form Y = AX + B where A and B are conversion constants, and X and Y are the temperature readings. If you are given two sample conversions from one scale to another, then you can convert any other value to and from that scale with this assumption. Take the Rankine scale for example. If we know that 476.85 degrees Celsius converts to 1350 degrees Rankine and 226.85 degrees Celsius converts to 900 degrees Rankine, then we can compute that 40 degrees Celsius is equal to 563.67 degrees Rankine.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eMake a program that accepts 5 decimal numbers X1, Y1, X2, Y2, and T. Let’s name a new temperature scale 'Franklin'. If X1 degrees Celsius convert to Y1 degrees Franklin and X2 degrees Celsius convert to Y2 degrees Franklin, output a decimal number, rounded to 2 decimal places, denoting the degrees Franklin equivalent of T degrees Celsius. You are guaranteed that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAll inputs are in the range [-1000, 1000].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEach test case is valid and has a unique solution.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45394,"title":"Count the number of folds needed to pack a large sheet","description":"In a certain paper factory, large sheets of paper are being made every day. Before sending the sheets for shipment, they have to be packed in a small case of length 1 foot and width 1 foot. This is done automatically by a robot, which is programmed to fold a large sheet of paper as many times as needed to fit it into the case. The following is the robot's algorithm:\r\n\r\n# Lay down a large sheet of paper of size X-by-Y feet.\r\n# _Fold_ the sheet in half so that the _larger_ length between X and Y is halved and the other length remains the same.\r\n# Repeat step 2 until _both_ lengths X and Y are _less_ than 1 foot.\r\n\r\nFor this problem, you can assume that the thickness of the paper is irrelevant. You are then given the following task by the company manager: Write a function that determines the number of folds needed to pack a certain sheet of paper, given its initial dimensions X and Y. You are ensured that X and Y are integers given in feet, and that 1 \u003c= X \u003c= 4000 and 1 \u003c= Y \u003c= 4000. \r\n\r\nAs an example, let the initial dimensions be (X,Y) = (4,5). The algorithm will produce the following sequence of paper sizes: (4,5) -\u003e (4,2.5) -\u003e (2,2.5) -\u003e (2,1.25) -\u003e (1,1.25) -\u003e (1,0.625) -\u003e (0.5,0.625). We stop because _both_ sizes are now less than 1. This takes a total of 6 folds.","description_html":"\u003cp\u003eIn a certain paper factory, large sheets of paper are being made every day. Before sending the sheets for shipment, they have to be packed in a small case of length 1 foot and width 1 foot. This is done automatically by a robot, which is programmed to fold a large sheet of paper as many times as needed to fit it into the case. The following is the robot's algorithm:\u003c/p\u003e\u003col\u003e\u003cli\u003eLay down a large sheet of paper of size X-by-Y feet.\u003c/li\u003e\u003cli\u003e\u003ci\u003eFold\u003c/i\u003e the sheet in half so that the \u003ci\u003elarger\u003c/i\u003e length between X and Y is halved and the other length remains the same.\u003c/li\u003e\u003cli\u003eRepeat step 2 until \u003ci\u003eboth\u003c/i\u003e lengths X and Y are \u003ci\u003eless\u003c/i\u003e than 1 foot.\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eFor this problem, you can assume that the thickness of the paper is irrelevant. You are then given the following task by the company manager: Write a function that determines the number of folds needed to pack a certain sheet of paper, given its initial dimensions X and Y. You are ensured that X and Y are integers given in feet, and that 1 \u0026lt;= X \u0026lt;= 4000 and 1 \u0026lt;= Y \u0026lt;= 4000.\u003c/p\u003e\u003cp\u003eAs an example, let the initial dimensions be (X,Y) = (4,5). The algorithm will produce the following sequence of paper sizes: (4,5) -\u0026gt; (4,2.5) -\u0026gt; (2,2.5) -\u0026gt; (2,1.25) -\u0026gt; (1,1.25) -\u0026gt; (1,0.625) -\u0026gt; (0.5,0.625). We stop because \u003ci\u003eboth\u003c/i\u003e sizes are now less than 1. This takes a total of 6 folds.\u003c/p\u003e","function_template":"function y = number_of_folds(X,Y)\r\n y = X;\r\nend","test_suite":"%%\r\nassert(isequal(number_of_folds(3247,2132),24))\r\n%%\r\nassert(isequal(number_of_folds(1403,3757),23))\r\n%%\r\nassert(isequal(number_of_folds(3504,2201),24))\r\n%%\r\nassert(isequal(number_of_folds(2490,2349),24))\r\n%%\r\nassert(isequal(number_of_folds(831,1205),21))\r\n%%\r\nassert(isequal(number_of_folds(1884,922),21))\r\n%%\r\nassert(isequal(number_of_folds(2,4),5))\r\n%%\r\nassert(isequal(number_of_folds(3378,780),22))\r\n%%\r\nassert(isequal(number_of_folds(904,683),20))\r\n%%\r\nassert(isequal(number_of_folds(911,1743),21))\r\n%%\r\nassert(isequal(number_of_folds(1245,3694),23))\r\n%%\r\nassert(isequal(number_of_folds(1721,740),21))\r\n%%\r\nassert(isequal(number_of_folds(3620,3919),24))\r\n%%\r\nassert(isequal(number_of_folds(1756,445),20))\r\n%%\r\nassert(isequal(number_of_folds(1033,1635),22))\r\n%%\r\nassert(isequal(number_of_folds(2380,1049),23))\r\n%%\r\nassert(isequal(number_of_folds(2412,2845),24))\r\n%%\r\nassert(isequal(number_of_folds(887,470),19))\r\n%%\r\nassert(isequal(number_of_folds(1187,1276),22))\r\n%%\r\nassert(isequal(number_of_folds(1697,2032),22))\r\n%%\r\nassert(isequal(number_of_folds(343,1050),20))\r\n%%\r\nassert(isequal(number_of_folds(3205,117),19))\r\n%%\r\nassert(isequal(number_of_folds(3716,2922),24))\r\n%%\r\nassert(isequal(number_of_folds(1955,2315),23))\r\n%%\r\nassert(isequal(number_of_folds(950,1836),21))\r\n%%\r\nassert(isequal(number_of_folds(3853,2188),24))\r\n%%\r\nassert(isequal(number_of_folds(2085,927),22))\r\n%%\r\nassert(isequal(number_of_folds(1956,2497),23))\r\n%%\r\nassert(isequal(number_of_folds(2717,1583),23))\r\n%%\r\nassert(isequal(number_of_folds(1470,3952),23))\r\n%%\r\nassert(isequal(number_of_folds(151,3541),20))\r\n%%\r\nassert(isequal(number_of_folds(3654,3185),24))\r\n%%\r\nassert(isequal(number_of_folds(395,1048),20))\r\n%%\r\nassert(isequal(number_of_folds(1342,2719),23))\r\n%%\r\nassert(isequal(number_of_folds(547,2885),22))\r\n%%\r\nassert(isequal(number_of_folds(428,2616),21))\r\n%%\r\nassert(isequal(number_of_folds(1977,3117),23))\r\n%%\r\nassert(isequal(number_of_folds(2861,3615),24))\r\n%%\r\nassert(isequal(number_of_folds(3564,1337),23))\r\n%%\r\nassert(isequal(number_of_folds(1,4000),13))\r\n%%\r\nassert(isequal(number_of_folds(2795,792),22))\r\n%%\r\nassert(isequal(number_of_folds(123,2977),19))\r\n%%\r\nassert(isequal(number_of_folds(2001,1920),22))\r\n%%\r\nassert(isequal(number_of_folds(3619,2440),24))\r\n%%\r\nassert(isequal(number_of_folds(2471,3438),24))\r\n%%\r\nassert(isequal(number_of_folds(3222,2307),24))\r\n%%\r\nassert(isequal(number_of_folds(732,960),20))\r\n%%\r\nassert(isequal(number_of_folds(3547,115),19))\r\n%%\r\nassert(isequal(number_of_folds(1960,672),21))\r\n%%\r\nassert(isequal(number_of_folds(3915,2851),24))\r\n%%\r\nassert(isequal(number_of_folds(2002,1885),22))\r\n%%\r\nassert(isequal(number_of_folds(239,2728),20))\r\n%%\r\nassert(isequal(number_of_folds(170,286),17))\r\n%%\r\nassert(isequal(number_of_folds(2087,387),21))\r\n%%\r\nassert(isequal(number_of_folds(3273,3271),24))\r\n%%\r\nassert(isequal(number_of_folds(2890,600),22))\r\n%%\r\nassert(isequal(number_of_folds(2639,2075),24))\r\n%%\r\nassert(isequal(number_of_folds(3892,2596),24))\r\n%%\r\nassert(isequal(number_of_folds(3202,1816),23))\r\n%%\r\nassert(isequal(number_of_folds(1730,3302),23))\r\n%%\r\nassert(isequal(number_of_folds(334,533),19))\r\n%%\r\nassert(isequal(number_of_folds(694,1564),21))\r\n%%\r\nassert(isequal(number_of_folds(3326,3214),24))\r\n%%\r\nassert(isequal(number_of_folds(242,1598),19))\r\n%%\r\nassert(isequal(number_of_folds(2108,1668),23))\r\n%%\r\nassert(isequal(number_of_folds(2628,2512),24))\r\n%%\r\nassert(isequal(number_of_folds(1168,1727),22))\r\n%%\r\nassert(isequal(number_of_folds(62,3937),18))\r\n%%\r\nassert(isequal(number_of_folds(669,425),19))\r\n%%\r\nassert(isequal(number_of_folds(1490,793),21))\r\n%%\r\nassert(isequal(number_of_folds(1959,1358),22))\r\n%%\r\nassert(isequal(number_of_folds(3807,3682),24))\r\n%%\r\nassert(isequal(number_of_folds(211,2952),20))\r\n%%\r\nassert(isequal(number_of_folds(1077,1692),22))\r\n%%\r\nassert(isequal(number_of_folds(2192,3771),24))\r\n%%\r\nassert(isequal(number_of_folds(1,1),2))\r\n%%\r\nassert(isequal(number_of_folds(1671,3933),23))\r\n%%\r\nassert(isequal(number_of_folds(1206,2805),23))\r\n%%\r\nassert(isequal(number_of_folds(2666,2157),24))\r\n%%\r\nassert(isequal(number_of_folds(2793,2667),24))\r\n%%\r\nassert(isequal(number_of_folds(713,513),20))\r\n%%\r\nassert(isequal(number_of_folds(3997,685),22))\r\n%%\r\nassert(isequal(number_of_folds(131,2245),20))\r\n%%\r\nassert(isequal(number_of_folds(3528,2677),24))\r\n%%\r\nassert(isequal(number_of_folds(762,1476),21))\r\n%%\r\nassert(isequal(number_of_folds(1843,3927),23))\r\n%%\r\nassert(isequal(number_of_folds(626,3423),22))\r\n%%\r\nassert(isequal(number_of_folds(2580,1506),23))\r\n%%\r\nassert(isequal(number_of_folds(764,1714),21))\r\n%%\r\nassert(isequal(number_of_folds(1929,483),20))\r\n%%\r\nassert(isequal(number_of_folds(2359,905),22))\r\n%%\r\nassert(isequal(number_of_folds(1539,2332),23))\r\n%%\r\nassert(isequal(number_of_folds(1008,1162),21))\r\n%%\r\nassert(isequal(number_of_folds(2469,1062),23))\r\n%%\r\nassert(isequal(number_of_folds(15,15),8))\r\n%%\r\nassert(isequal(number_of_folds(3298,3931),24))\r\n%%\r\nassert(isequal(number_of_folds(2921,1376),23))\r\n%%\r\nassert(isequal(number_of_folds(2337,432),21))\r\n%%\r\nassert(isequal(number_of_folds(3626,3519),24))\r\n%%\r\nassert(isequal(number_of_folds(3272,1043),23))\r\n%%\r\nassert(isequal(number_of_folds(3,2),4))\r\n%%\r\nassert(isequal(number_of_folds(2378,91),19))\r\n%%\r\nassert(isequal(number_of_folds(1702,1251),22))\r\n%%\r\nassert(isequal(number_of_folds(646,716),20))\r\n%%\r\nassert(isequal(number_of_folds(1692,377),20))\r\n%%\r\nassert(isequal(number_of_folds(16,15),9))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":3,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":115,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-26T22:22:34.000Z","updated_at":"2026-03-31T14:22:20.000Z","published_at":"2020-03-26T22:22:34.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn a certain paper factory, large sheets of paper are being made every day. Before sending the sheets for shipment, they have to be packed in a small case of length 1 foot and width 1 foot. This is done automatically by a robot, which is programmed to fold a large sheet of paper as many times as needed to fit it into the case. The following is the robot's algorithm:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eLay down a large sheet of paper of size X-by-Y feet.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eFold\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e the sheet in half so that the\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003elarger\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e length between X and Y is halved and the other length remains the same.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eRepeat step 2 until\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\u003eboth\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e lengths X and Y are\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\u003eless\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e than 1 foot.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, you can assume that the thickness of the paper is irrelevant. You are then given the following task by the company manager: Write a function that determines the number of folds needed to pack a certain sheet of paper, given its initial dimensions X and Y. You are ensured that X and Y are integers given in feet, and that 1 \u0026lt;= X \u0026lt;= 4000 and 1 \u0026lt;= Y \u0026lt;= 4000.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAs an example, let the initial dimensions be (X,Y) = (4,5). The algorithm will produce the following sequence of paper sizes: (4,5) -\u0026gt; (4,2.5) -\u0026gt; (2,2.5) -\u0026gt; (2,1.25) -\u0026gt; (1,1.25) -\u0026gt; (1,0.625) -\u0026gt; (0.5,0.625). We stop because\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\u003eboth\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e sizes are now less than 1. This takes a total of 6 folds.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45467,"title":"Find the fastest reaction chain to reach a target compound","description":"This problem is related to Problem \u003c45470\u003e.\r\n\r\nLet's denote a list of *N* compounds as 1, 2, ..., *N*. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u003e 2), as well as the time it takes to complete them ( _completion time_ ). With this information, we can generate _reaction chains_. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\r\n\r\n Given N = 4 and the following valid reactions:\r\n Reaction 1: 1 --\u003e 2 takes 1.5 mins\r\n Reaction 2: 1 --\u003e 3 takes 2.5 mins \r\n Reaction 3: 2 --\u003e 3 takes 0.6 mins\r\n Reaction 4: 3 --\u003e 4 takes 4.1 mins \r\n Reaction 5: 4 --\u003e 2 takes 3.2 mins\r\n Sample reaction chains: 1 --\u003e 3 --\u003e 4 takes (2.5 + 4.1) mins\r\n 1 --\u003e 2 --\u003e 3 --\u003e 4 takes (1.5 + 0.6 + 4.1) mins \r\n 4 --\u003e 2 --\u003e 3 takes (3.2 + 0.6) mins\r\n\r\nNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\r\n\r\nYour task is this: Given a starting compound *S* and a target compound *T*, can you find a reaction chain between them with the smallest _total completion time_? \r\n\r\nThe inputs to this problem are *R*, *S*, and *T*. Variable *R* is a 3-column matrix containing the list of valid reaction steps at each row _i_: \r\n\r\n\"Reaction _i_: *R*( _i_, _1_) --\u003e *R*( _i_, _2_) takes *R*( _i_, _3_) mins\" \r\n\r\nOutput the total time of the fastest reaction chain from *S* to *T*, rounded to 2 decimal places. If a solution does not exist, then output |Inf|. You are ensured that:\r\n\r\n* 2 \u003c= *N* \u003c= 20\r\n* *S*, *T*, and all elements in the first 2 columns of *R* are integers within [1, *N*].\r\n* Completion times are decimal numbers within (0,10].\r\n* *S* is not equal to *T*.\r\n* Each compound 1, ..., *N* is mentioned at least once in *R*. Hence, *N* can be inferred from matrix *R*.\r\n\r\nThe following sample test case is the one illustrated above:\r\n\r\n \u003e\u003e R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\n \u003e\u003e reaction_chain(R,1,4)\r\n ans = \r\n 6.20\r\n\r\n","description_html":"\u003cp\u003eThis problem is related to Problem \u003ca href = \"45470\"\u003e45470\u003c/a\u003e.\u003c/p\u003e\u003cp\u003eLet's denote a list of \u003cb\u003eN\u003c/b\u003e compounds as 1, 2, ..., \u003cb\u003eN\u003c/b\u003e. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u0026gt; 2), as well as the time it takes to complete them ( \u003ci\u003ecompletion time\u003c/i\u003e ). With this information, we can generate \u003ci\u003ereaction chains\u003c/i\u003e. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eGiven N = 4 and the following valid reactions:\r\nReaction 1: 1 --\u0026gt; 2 takes 1.5 mins\r\nReaction 2: 1 --\u0026gt; 3 takes 2.5 mins \r\nReaction 3: 2 --\u0026gt; 3 takes 0.6 mins\r\nReaction 4: 3 --\u0026gt; 4 takes 4.1 mins \r\nReaction 5: 4 --\u0026gt; 2 takes 3.2 mins\r\nSample reaction chains: 1 --\u0026gt; 3 --\u0026gt; 4 takes (2.5 + 4.1) mins\r\n 1 --\u0026gt; 2 --\u0026gt; 3 --\u0026gt; 4 takes (1.5 + 0.6 + 4.1) mins \r\n 4 --\u0026gt; 2 --\u0026gt; 3 takes (3.2 + 0.6) mins\r\n\u003c/pre\u003e\u003cp\u003eNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\u003c/p\u003e\u003cp\u003eYour task is this: Given a starting compound \u003cb\u003eS\u003c/b\u003e and a target compound \u003cb\u003eT\u003c/b\u003e, can you find a reaction chain between them with the smallest \u003ci\u003etotal completion time\u003c/i\u003e?\u003c/p\u003e\u003cp\u003eThe inputs to this problem are \u003cb\u003eR\u003c/b\u003e, \u003cb\u003eS\u003c/b\u003e, and \u003cb\u003eT\u003c/b\u003e. Variable \u003cb\u003eR\u003c/b\u003e is a 3-column matrix containing the list of valid reaction steps at each row \u003ci\u003ei\u003c/i\u003e:\u003c/p\u003e\u003cp\u003e\"Reaction \u003ci\u003ei\u003c/i\u003e: \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e1\u003c/i\u003e) --\u0026gt; \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e2\u003c/i\u003e) takes \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e3\u003c/i\u003e) mins\"\u003c/p\u003e\u003cp\u003eOutput the total time of the fastest reaction chain from \u003cb\u003eS\u003c/b\u003e to \u003cb\u003eT\u003c/b\u003e, rounded to 2 decimal places. If a solution does not exist, then output \u003ctt\u003eInf\u003c/tt\u003e. You are ensured that:\u003c/p\u003e\u003cul\u003e\u003cli\u003e2 \u0026lt;= \u003cb\u003eN\u003c/b\u003e \u0026lt;= 20\u003c/li\u003e\u003cli\u003e\u003cb\u003eS\u003c/b\u003e, \u003cb\u003eT\u003c/b\u003e, and all elements in the first 2 columns of \u003cb\u003eR\u003c/b\u003e are integers within [1, \u003cb\u003eN\u003c/b\u003e].\u003c/li\u003e\u003cli\u003eCompletion times are decimal numbers within (0,10].\u003c/li\u003e\u003cli\u003e\u003cb\u003eS\u003c/b\u003e is not equal to \u003cb\u003eT\u003c/b\u003e.\u003c/li\u003e\u003cli\u003eEach compound 1, ..., \u003cb\u003eN\u003c/b\u003e is mentioned at least once in \u003cb\u003eR\u003c/b\u003e. Hence, \u003cb\u003eN\u003c/b\u003e can be inferred from matrix \u003cb\u003eR\u003c/b\u003e.\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eThe following sample test case is the one illustrated above:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\n\u0026gt;\u0026gt; reaction_chain(R,1,4)\r\nans = \r\n 6.20\r\n\u003c/pre\u003e","function_template":"function y = reaction_chain(R,S,T)\r\n y = R;\r\nend","test_suite":"%%\r\nfiletext = fileread('reaction_chain.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nR = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\nassert(isequal(reaction_chain(R,1,4),6.20))\r\n%%\r\nR = [3 4 9.6489;1 4 9.5717;2 4 1.4189;2 4 7.9221;4 3 0.3571; 4 3 3.9223];\r\nassert(isequal(reaction_chain(R,1,3),9.93))\r\n%%\r\nR = [2 3 3.1864;3 2 4.9359;1 2 7.7339;5 1 5.2448;2 5 1.3431; ...\r\n4 1 4.8876;4 1 9.5712;4 1 2.6840;4 3 0.0273;5 4 1.7028; ...\r\n5 4 5.2548;3 2 4.2046;3 4 8.6170;3 4 9.1101;2 1 3.3861];\r\nassert(isequal(reaction_chain(R,3,4),7.25))\r\n%%\r\nR = [1 4 8.1730;4 1 3.9978;2 4 4.3141;4 1 2.6380;4 3 3.5095; ...\r\n3 2 0.7597;1 2 0.4965;2 1 7.8025;2 1 4.0391;4 3 0.5978; ...\r\n1 2 8.2119;2 3 2.9632;3 1 6.8678;1 2 6.2562;4 1 9.2939; ...\r\n4 2 4.3586;3 4 7.9483;3 2 8.1158;3 2 9.3900;4 3 6.2248];\r\nassert(isequal(reaction_chain(R,3,1),4.80))\r\n%%\r\nR = [6 1 4.8990;2 6 7.1269;4 3 0.5962;5 1 0.7145;4 1 8.1815];\r\nassert(isequal(reaction_chain(R,5,5),0.00))\r\nassert(isequal(reaction_chain(R,2,1),12.03))\r\nassert(isequal(reaction_chain(R,2,3),Inf))\r\nassert(isequal(reaction_chain(R,3,4),Inf))\r\n%%\r\nR = [1 3 1.3056;1 3 6.0879;6 7 9.7350;6 5 0.4248;5 7 3.1795; ...\r\n10 11 8.0540;11 9 9.7753;11 9 5.1325;14 15 7.6027;15 14 8.0163; ...\r\n14 15 5.9045;17 1 1.4939;1 17 2.5989;1 17 6.2406;4 5 1.9871; ...\r\n3 4 0.6724;3 5 8.6804;7 9 7.2118;8 7 8.1865;9 7 2.9695; ...\r\n12 11 5.1967;11 12 4.1216;11 12 3.9005;16 17 9.2406;15 16 6.7641; ...\r\n17 16 0.6583;3 2 5.0605;2 3 4.9252;1 3 6.1090;5 7 4.1419; ...\r\n6 7 4.7752;7 5 7.2523;9 10 2.9741;11 9 0.1670;11 9 8.7837; ...\r\n14 13 1.5026;13 15 3.3175;15 14 6.1016;18 1 6.7336;1 17 2.5181; ...\r\n17 1 9.1524;4 3 6.0197;3 5 6.5784;4 3 3.0603;];\r\nassert(isequal(reaction_chain(R,18,3),8.04))\r\nassert(isequal(reaction_chain(R,13,12),50.1))\r\nassert(isequal(reaction_chain(R,14,12),51.6))\r\n%%\r\nR = [9 13 1.5437;8 4 7.5811;18 8 6.8554;6 11 8.3242;12 7 2.9923; ...\r\n10 9 3.5961;12 15 4.2433;9 3 0.2443;6 7 6.5369;20 19 4.5789; ...\r\n5 16 7.5933;14 10 2.1216;2 17 1.7501;4 14 8.9439;11 15 1.5359; ...\r\n20 11 6.7973;1 17 7.4862;3 11 3.2583;11 8 4.1509;4 6 0.2054; ...\r\n19 14 9.3261;4 19 7.9466;12 9 2.5761;16 5 0.6419;16 14 7.1521; ...\r\n13 9 3.9076;17 7 8.1454;16 18 5.0564;13 20 4.4396;2 18 6.3119];\r\nassert(isequal(reaction_chain(R,8,20),28.23))\r\nassert(isequal(reaction_chain(R,2,13),36.95))\r\n%%\r\nR = [9 20 9.8797;18 8 4.5474;5 16 8.8284;19 12 5.9887;3 18 4.5039; ...\r\n5 18 7.6259;18 6 6.7323;14 3 4.0732;6 15 2.8338;18 17 3.9003; ...\r\n10 14 8.3437;13 12 3.2604;10 15 8.8441;15 1 6.7478;17 7 2.4623; ...\r\n7 8 5.4655;12 8 3.9813;11 14 9.5092;15 9 8.3187;3 2 0.8425; ...\r\n4 7 3.0173;1 11 0.9537;3 13 8.5932];\r\nassert(isequal(reaction_chain(R,20,12),Inf))\r\nassert(isequal(reaction_chain(R,15,8),30.34))\r\n%%\r\nR = [11 12 2.1328;12 3 0.5222;14 13 2.1966;9 13 5.5531;3 4 0.0100; ...\r\n9 10 1.5987;14 1 1.1968;10 18 2.4288;1 8 9.0441;14 8 6.3195; ...\r\n5 12 9.8173;17 6 6.8246;8 20 0.8399;6 17 0.8442;11 17 7.3882; ...\r\n3 9 3.5038;10 12 1.4581;19 13 1.6294;12 19 7.8310;14 10 2.6032; ...\r\n12 5 3.1930;19 18 7.9459;19 4 5.1754;13 19 6.6397;8 15 8.1763; ...\r\n13 2 9.2236;2 11 1.1885;8 17 2.4410;18 15 3.7815;5 6 7.6724; ...\r\n1 14 6.2028;15 20 3.8391;6 18 8.0610;10 2 5.6427;4 11 3.5503; ...\r\n7 15 5.1577;16 5 6.7811;2 17 6.7857;19 2 9.0844;11 13 3.1607; ...\r\n2 18 1.4453;8 13 9.9755];\r\nassert(isequal(reaction_chain(R,11,20),17.81))\r\n%%\r\nR = [3 1 7.1176;14 2 0.3902;9 10 5.1643;1 11 9.4602;14 2 3.5457; ...\r\n4 9 6.1273;5 12 7.9564;12 6 0.5430;11 15 1.6248;2 14 4.8166; ...\r\n4 1 6.0896;12 8 0.2775;15 8 3.3200;3 10 5.7513;12 3 3.5679; ...\r\n3 13 3.3787;5 1 8.0191;8 9 8.7091;9 15 5.9602;13 15 8.8592; ...\r\n4 1 4.5112;1 8 9.5120;4 6 4.3143;6 14 7.4084;12 15 5.1010; ...\r\n12 7 8.4920;6 12 9.7644;8 7 2.0716;5 2 3.7521;5 6 8.1712; ...\r\n2 10 3.4665;6 9 8.6394;3 11 9.0183;3 5 4.9652;14 8 2.7700; ...\r\n1 11 5.0675;6 1 3.5858;6 1 3.7505;12 3 9.1222;12 2 9.5003; ...\r\n3 5 6.8713;3 8 7.2133;14 11 7.4985;7 4 5.2085;4 13 6.6293];\r\nassert(isequal(reaction_chain(R,13,12),33.54))\r\n%%\r\nR = [7 13 9.2048;12 5 7.9682;3 8 6.1069;11 6 7.2868;14 1 1.3822; ...\r\n13 7 4.1131;15 12 9.8100;4 2 3.8458;8 9 9.7663;8 7 9.9499; ...\r\n4 10 9.6426;11 5 5.3113;1 14 4.0438;5 15 4.6065;5 2 5.8218; ...\r\n3 2 5.8056;5 6 7.2482;13 6 9.6175;15 4 7.6824;10 14 6.0254; ...\r\n11 12 3.8510;4 1 4.7212;10 5 5.1786;4 5 6.5047;14 13 2.0992; ...\r\n6 14 2.5653;15 10 1.6535;13 10 5.4645;4 1 2.3338;6 10 9.8610; ...\r\n4 12 8.8633;8 3 8.1092;8 2 8.7572;10 2 9.0844;11 6 5.0432; ...\r\n12 1 7.2593;11 7 5.8229;6 3 3.9919;14 4 3.6101;5 2 5.1267; ...\r\n13 14 7.2360;6 5 6.9171;8 2 2.5291;14 3 1.2135;9 5 3.8204; ...\r\n12 13 6.8024;7 10 2.1408;10 11 6.0102;12 8 3.5462;12 4 8.4483];\r\nassert(isequal(reaction_chain(R,1,12),16.52))\r\nassert(isequal(reaction_chain(R,15,9),23.12))\r\nassert(isequal(reaction_chain(R,9,15),8.43))\r\n%%\r\nR = [14 10 9.0000;14 10 10.0000;4 13 10.0000;5 2 8.0000;2 11 5.0000; ...\r\n10 3 6.0000;9 1 5.0000;13 2 5.0000;10 5 10.0000;10 3 6.0000; ...\r\n13 8 8.0000;13 12 2.0000;1 9 7.0000;13 11 4.0000;7 4 8.0000; ...\r\n2 11 9.0000;11 5 6.0000;7 2 9.0000;10 4 10.0000;3 5 5.0000; ...\r\n4 3 8.0000;3 8 3.0000;7 13 3.0000;1 13 7.0000;14 6 7.0000; ...\r\n6 1 6.0000;8 4 1.0000;12 1 4.0000;11 14 6.0000;10 14 6.0000; ...\r\n6 10 5.0000;2 7 6.0000;8 7 1.0000;4 7 7.0000;10 14 10.0000; ...\r\n2 14 2.0000;14 9 3.0000;1 5 9.0000;2 5 2.0000;3 1 8.0000];\r\nassert(isequal(reaction_chain(R,8,9),14))\r\n%%\r\nR = [1 2 5;1 2 9];\r\nassert(isequal(reaction_chain(R,2,1),Inf))\r\n%%\r\nR = [4 16 0.4237;2 9 0.0306;8 11 0.6388;1 13 0.1693;2 16 0.3843; ...\r\n8 6 0.5554;6 7 0.3490;17 7 0.1930;17 6 0.5509;17 2 0.2577; ...\r\n8 11 0.8995;4 18 0.4340;15 10 0.3313;8 13 0.9162;17 3 0.1199; ...\r\n17 12 0.0403;10 17 0.3857;6 5 0.2009;7 11 0.2684;12 15 0.1040; ...\r\n14 12 0.4747;17 2 0.5991;5 1 0.5799;16 11 0.8399;4 12 0.1740; ...\r\n6 1 0.7015;18 14 0.7567;10 6 0.2449;6 18 0.2307;10 4 0.4340; ...\r\n3 7 0.7936;15 17 0.5404;15 13 0.0432;3 5 0.2467;4 5 0.2755; ...\r\n18 7 0.2973;8 6 0.7573;7 3 0.6172;16 9 0.0776;17 6 0.6139; ...\r\n12 4 0.9600;12 10 0.8690;11 1 0.4827;15 14 0.5723;1 13 0.4494; ...\r\n12 14 0.8047;1 15 0.5674;2 5 0.1335;11 10 0.0689;18 5 0.3155; ...\r\n6 1 0.5279;5 8 0.9475;17 3 0.5919];\r\nassert(isequal(reaction_chain(R,7,13),0.91))\r\nassert(isequal(reaction_chain(R,1,18),1.37))\r\nassert(isequal(reaction_chain(R,14,2),1.38))\r\n%%\r\nR = [3 2 8.2070;2 1 1.0576;5 6 4.3201;5 6 1.1111;6 7 5.3338; ...\r\n11 10 9.7877;10 11 5.9987;9 10 4.3743;14 13 2.7591;13 15 8.6333; ...\r\n14 13 5.6640;17 18 1.6193;17 1 2.8767;17 18 6.9178;4 3 5.6304; ...\r\n4 3 4.3412;5 4 0.5619;9 8 9.5380;9 7 0.0224;9 8 7.1412; ...\r\n11 13 2.7473;11 12 0.6646;12 11 1.2049;17 15 8.9250;16 15 3.4592; ...\r\n17 15 0.4951;1 2 4.0666;1 2 0.5611;2 3 6.7063;6 5 2.7088; ...\r\n5 7 7.1288;5 6 0.6856;11 9 4.1500;11 10 5.9775;9 10 8.3965; ...\r\n15 14 7.5966;14 15 4.1755;14 13 8.3002;1 18 5.0146;1 17 9.7139; ...\r\n17 18 0.2792;3 5 5.4500;5 3 2.3200;5 3 8.7088;7 8 4.0699; ...\r\n8 7 1.8611;9 8 7.8793;13 11 7.7952;11 13 5.4524;13 12 1.3119];\r\nassert(isequal(reaction_chain(R,3,9),36.50))\r\n%%\r\nR = [2 1 7.2341;3 1 1.9214;6 7 7.0439;6 7 4.1053;5 6 1.2955; ...\r\n11 10 8.3926;10 11 9.0473;10 11 7.1775;14 15 7.2521;15 14 4.9151; ...\r\n14 15 9.6543;17 19 2.7357;17 18 2.7711;17 18 8.5647;3 2 4.8920; ...\r\n4 2 7.0194;2 3 8.9539;8 6 1.9255;6 8 1.1520;8 6 1.3625; ...\r\n12 10 3.7379;11 12 4.7925;12 10 7.2198;16 14 6.2466;16 15 7.1463; ...\r\n16 15 3.7445;1 18 6.6056;19 1 9.1260;19 1 3.0015;3 5 2.1327; ...\r\n4 3 3.6967;3 5 0.7346;8 9 9.3318;8 7 4.9644;8 9 3.0559; ...\r\n11 13 7.6445;11 12 1.6309;11 13 2.0184;17 15 7.9096;17 15 3.8180; ...\r\n16 15 4.1780;2 19 1.3889;19 2 2.6529;1 19 9.4927;5 4 6.9571; ...\r\n5 6 3.8858;4 5 8.8546];\r\nassert(isequal(reaction_chain(R,4,14),Inf))\r\nassert(isequal(reaction_chain(R,9,12),Inf))\r\n%%\r\nR = [2 1 1.5592;1 2 2.4465;7 6 5.9819;7 6 1.9563;5 7 4.9169; ...\r\n9 10 2.6206;9 10 3.6554;10 9 6.9576;2 1 1.5000;2 13 9.0677; ...\r\n13 2 7.3477;4 5 8.9883;5 4 7.8082;6 5 0.7312;10 8 2.5875; ...\r\n8 9 4.9516;10 9 3.9300;12 1 0.0830;1 12 9.7302;13 12 6.0841; ...\r\n3 5 0.0807;3 5 5.3663;4 5 2.4256;7 9 0.1973;7 9 8.2272; ...\r\n8 9 1.6038;11 12 8.2550;13 11 1.9458;13 11 1.3879;2 4 9.8468; ...\r\n3 2 4.8237;2 3 5.5103;7 6 9.9712;7 8 5.0623;7 6 8.8766; ...\r\n11 12 4.6054;10 12 1.0703;10 12 5.3461;3 2 5.4698;1 2 5.6282; ...\r\n2 1 2.9354;7 6 1.5597;6 5 8.5908;5 7 7.9862;9 11 5.0525; ...\r\n9 11 3.1038;11 10 2.6583];\r\nassert(isequal(reaction_chain(R,10,5),9.19))\r\n\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":17,"test_suite_updated_at":"2020-04-21T14:16:29.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-18T19:42:11.000Z","updated_at":"2025-12-04T16:15:32.000Z","published_at":"2020-04-18T21:51:06.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis problem is related to Problem\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"45470\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e45470\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eLet's denote a list of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e compounds as 1, 2, ...,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u0026gt; 2), as well as the time it takes to complete them (\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\u003ecompletion time\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ). With this information, we can generate\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\u003ereaction chains\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[Given N = 4 and the following valid reactions:\\nReaction 1: 1 --\u003e 2 takes 1.5 mins\\nReaction 2: 1 --\u003e 3 takes 2.5 mins \\nReaction 3: 2 --\u003e 3 takes 0.6 mins\\nReaction 4: 3 --\u003e 4 takes 4.1 mins \\nReaction 5: 4 --\u003e 2 takes 3.2 mins\\nSample reaction chains: 1 --\u003e 3 --\u003e 4 takes (2.5 + 4.1) mins\\n 1 --\u003e 2 --\u003e 3 --\u003e 4 takes (1.5 + 0.6 + 4.1) mins \\n 4 --\u003e 2 --\u003e 3 takes (3.2 + 0.6) mins]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task is this: Given a starting compound\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and a target compound\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, can you find a reaction chain between them with the smallest\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\u003etotal completion time\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe inputs to this problem are\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Variable\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is a 3-column matrix containing the list of valid reaction steps at each row\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\"Reaction\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e:\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) --\u0026gt;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) takes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) mins\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOutput the total time of the fastest reaction chain from\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, rounded to 2 decimal places. If a solution does not exist, then output\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eInf\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. You are ensured that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 20\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and all elements in the first 2 columns of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are integers within [1,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCompletion times are decimal numbers within (0,10].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is not equal to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEach compound 1, ...,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is mentioned at least once in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Hence,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e can be inferred from matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe following sample test case is the one illustrated above:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\\n\u003e\u003e reaction_chain(R,1,4)\\nans = \\n 6.20]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45391,"title":"Calculate the sphericity of a Raschig ring","description":"Sphericity is a measure of the roundness of any particle. It was defined by Wadell in 1935 as the ratio of the 'surface area of a sphere having the same volume as the given particle' to the 'surface area of the given particle'. By definition, the maximum value of sphericity is 1, which is that of a perfect sphere. The more elongated a particle is, the lesser its sphericity.\r\n\r\nA Raschig ring is a common particle found in packed beds that are shaped like small pieces of a tube (see figure). As a hollow cylinder, it has a height H, inner radius R1, and outer radius R2. The sphericity of a Raschig ring is important to calculate as it can influence the performance of a packed bed for adsorption. \r\n\r\n\u003c\u003chttps://upload.wikimedia.org/wikipedia/commons/thumb/4/4e/RaschigRings005.JPG/296px-RaschigRings005.JPG\u003e\u003e \r\n \r\nMake a function that takes three values: H, R1, and R2. Output the sphericity of this hollow cylinder rounded to 4 decimal places. You are ensured that:\r\n\r\n* H, R1, and R2 are all positive integers\r\n* R1 \u003c R2\r\n* All inputs have consistent units; and \r\n* No input value exceeds 100. ","description_html":"\u003cp\u003eSphericity is a measure of the roundness of any particle. It was defined by Wadell in 1935 as the ratio of the 'surface area of a sphere having the same volume as the given particle' to the 'surface area of the given particle'. By definition, the maximum value of sphericity is 1, which is that of a perfect sphere. The more elongated a particle is, the lesser its sphericity.\u003c/p\u003e\u003cp\u003eA Raschig ring is a common particle found in packed beds that are shaped like small pieces of a tube (see figure). As a hollow cylinder, it has a height H, inner radius R1, and outer radius R2. The sphericity of a Raschig ring is important to calculate as it can influence the performance of a packed bed for adsorption.\u003c/p\u003e\u003cimg src = \"https://upload.wikimedia.org/wikipedia/commons/thumb/4/4e/RaschigRings005.JPG/296px-RaschigRings005.JPG\"\u003e\u003cp\u003eMake a function that takes three values: H, R1, and R2. Output the sphericity of this hollow cylinder rounded to 4 decimal places. You are ensured that:\u003c/p\u003e\u003cul\u003e\u003cli\u003eH, R1, and R2 are all positive integers\u003c/li\u003e\u003cli\u003eR1 \u0026lt; R2\u003c/li\u003e\u003cli\u003eAll inputs have consistent units; and\u003c/li\u003e\u003cli\u003eNo input value exceeds 100.\u003c/li\u003e\u003c/ul\u003e","function_template":"function y = raschig_sphericity(H,R1,R2)\r\n y = x;\r\nend","test_suite":"%%\r\nassert(isequal(raschig_sphericity(1,1,2),0.5724))\r\n%%\r\nassert(isequal(raschig_sphericity(8,6,7),0.3121))\r\n%%\r\nassert(isequal(raschig_sphericity(5,1,6),0.7379))\r\n%%\r\nassert(isequal(raschig_sphericity(63,42,80),0.5898))\r\n%%\r\nassert(isequal(raschig_sphericity(49,10,68),0.7246))\r\n%%\r\nassert(isequal(raschig_sphericity(96,48,80),0.5408))\r\n%%\r\nassert(isequal(raschig_sphericity(60,23,75),0.6827))\r\n%%\r\nassert(isequal(raschig_sphericity(16,77,82),0.2694))\r\n%%\r\nassert(isequal(raschig_sphericity(17,72,80),0.3272))\r\n%%\r\nassert(isequal(raschig_sphericity(17,62,72),0.3667))\r\n%%\r\nassert(isequal(raschig_sphericity(27,84,91),0.2859))\r\n%%\r\nassert(isequal(raschig_sphericity(11,20,50),0.4666))\r\n%%\r\nassert(isequal(raschig_sphericity(88,60,71),0.3213))\r\n%%\r\nassert(isequal(raschig_sphericity(36,88,99),0.3313))\r\n%%\r\nassert(isequal(raschig_sphericity(45,27,68),0.6329))\r\n%%\r\nassert(isequal(raschig_sphericity(18,86,90),0.2318))\r\n%%\r\nassert(isequal(raschig_sphericity(17,3,35),0.6679))\r\n%%\r\nassert(isequal(raschig_sphericity(56,82,97),0.3673))\r\n%%\r\nassert(isequal(raschig_sphericity(3,37,68),0.2113))\r\n%%\r\nassert(isequal(raschig_sphericity(47,5,64),0.7495))\r\n%%\r\nassert(isequal(raschig_sphericity(58,30,61),0.6098))\r\n%%\r\nassert(isequal(raschig_sphericity(14,30,84),0.4155))\r\n%%\r\nassert(isequal(raschig_sphericity(4,27,100),0.1877))\r\n%%\r\nassert(isequal(raschig_sphericity(45,16,91),0.6520))\r\n%%\r\nassert(isequal(raschig_sphericity(4,12,35),0.3453))\r\n%%\r\nassert(isequal(raschig_sphericity(76,89,92),0.1379))\r\n%%\r\nassert(isequal(raschig_sphericity(68,82,100),0.3876))\r\n%%\r\nassert(isequal(raschig_sphericity(88,39,97),0.6518))\r\n%%\r\nassert(isequal(raschig_sphericity(44,17,43),0.6590))\r\n%%\r\nassert(isequal(raschig_sphericity(69,93,100),0.2314))\r\n%%\r\nassert(isequal(raschig_sphericity(60,94,97),0.1451))\r\n%%\r\nassert(isequal(raschig_sphericity(5,30,33),0.3154))\r\n%%\r\nassert(isequal(raschig_sphericity(87,43,49),0.2549))\r\n%%\r\nassert(isequal(raschig_sphericity(14,24,41),0.5087))\r\n%%\r\nassert(isequal(raschig_sphericity(87,76,85),0.2686))\r\n%%\r\nassert(isequal(raschig_sphericity(39,59,81),0.4706))\r\n%%\r\nassert(isequal(raschig_sphericity(34,85,89),0.2058))\r\n%%\r\nassert(isequal(raschig_sphericity(94,39,81),0.6148))\r\n%%\r\nassert(isequal(raschig_sphericity(28,3,95),0.5608))\r\n%%\r\nassert(isequal(raschig_sphericity(54,67,88),0.4456))\r\n%%\r\nassert(isequal(raschig_sphericity(76,98,100),0.1034))\r\n%%\r\nassert(isequal(raschig_sphericity(86,99,100),0.0633))\r\n%%\r\nassert(isequal(raschig_sphericity(15,33,35),0.2297))\r\n%%\r\nassert(isequal(raschig_sphericity(70,95,99),0.1649))\r\n%%\r\nassert(isequal(raschig_sphericity(74,18,48),0.6685))\r\n%%\r\nassert(isequal(raschig_sphericity(58,46,92),0.5909))\r\n%%\r\nassert(isequal(raschig_sphericity(82,33,64),0.5923))\r\n%%\r\nassert(isequal(raschig_sphericity(68,59,65),0.2461))\r\n%%\r\nassert(isequal(raschig_sphericity(2,13,33),0.2450))\r\n%%\r\nassert(isequal(raschig_sphericity(45,53,100),0.5528))\r\n%%\r\nassert(isequal(raschig_sphericity(72,98,99),0.0673))\r\n%%\r\nassert(isequal(raschig_sphericity(64,96,98),0.1097))\r\n%%\r\nassert(isequal(raschig_sphericity(95,90,92),0.0993))\r\n%%\r\nassert(isequal(raschig_sphericity(74,18,27),0.4265))\r\n%%\r\nassert(isequal(raschig_sphericity(32,35,61),0.5499))\r\n%%\r\nassert(isequal(raschig_sphericity(29,32,81),0.5534))\r\n%%\r\nassert(isequal(raschig_sphericity(95,9,35),0.7062))\r\n%%\r\nassert(isequal(raschig_sphericity(60,83,97),0.3518))\r\n%%\r\nassert(isequal(raschig_sphericity(56,4,69),0.7725))\r\n%%\r\nassert(isequal(raschig_sphericity(85,7,41),0.7745))\r\n%%\r\nassert(isequal(raschig_sphericity(26,43,61),0.4810))\r\n%%\r\nassert(isequal(raschig_sphericity(97,13,32),0.6015))\r\n%%\r\nassert(isequal(raschig_sphericity(90,62,78),0.3825))\r\n%%\r\nassert(isequal(raschig_sphericity(36,65,91),0.4733))\r\n%%\r\nassert(isequal(raschig_sphericity(74,95,96),0.0674))\r\n%%\r\nassert(isequal(raschig_sphericity(43,1,71),0.7321))\r\n%%\r\nassert(isequal(raschig_sphericity(79,56,58),0.1229))\r\n%%\r\nassert(isequal(raschig_sphericity(1,98,99),0.1419))\r\n%%\r\nassert(isequal(raschig_sphericity(83,36,66),0.5745))\r\n%%\r\nassert(isequal(raschig_sphericity(12,78,88),0.3322))\r\n%%\r\nassert(isequal(raschig_sphericity(30,36,67),0.5501))\r\n%%\r\nassert(isequal(raschig_sphericity(44,70,91),0.4429))\r\n%%\r\nassert(isequal(raschig_sphericity(1,8,51),0.1183))\r\n%%\r\nassert(isequal(raschig_sphericity(78,81,93),0.3144))\r\n%%\r\nassert(isequal(raschig_sphericity(37,88,92),0.1995))\r\n%%\r\nassert(isequal(raschig_sphericity(7,72,94),0.2976))\r\n%%\r\nassert(isequal(raschig_sphericity(90,76,99),0.4243))\r\n%%\r\nassert(isequal(raschig_sphericity(54,96,100),0.1764))\r\n%%\r\nassert(isequal(raschig_sphericity(53,84,99),0.3670))\r\n%%\r\nassert(isequal(raschig_sphericity(94,46,87),0.5889))\r\n%%\r\nassert(isequal(raschig_sphericity(94,81,99),0.3707))\r\n%%\r\nassert(isequal(raschig_sphericity(45,83,100),0.3923))\r\n%%\r\nassert(isequal(raschig_sphericity(37,17,86),0.6207))\r\n%%\r\nassert(isequal(raschig_sphericity(59,96,98),0.1125))\r\n%%\r\nassert(isequal(raschig_sphericity(26,68,98),0.4545))\r\n%%\r\nassert(isequal(raschig_sphericity(62,32,66),0.6133))\r\n%%\r\nassert(isequal(raschig_sphericity(41,9,63),0.7096))\r\n%%\r\nassert(isequal(raschig_sphericity(88,55,69),0.3730))\r\n%%\r\nassert(isequal(raschig_sphericity(90,79,96),0.3663))\r\n%%\r\nassert(isequal(raschig_sphericity(60,56,70),0.3962))\r\n%%\r\nassert(isequal(raschig_sphericity(55,99,100),0.0730))\r\n%%\r\nassert(isequal(raschig_sphericity(69,48,87),0.5765))\r\n%%\r\nassert(isequal(raschig_sphericity(22,25,33),0.4465))\r\n%%\r\nassert(isequal(raschig_sphericity(71,85,97),0.3154))\r\n%%\r\nassert(isequal(raschig_sphericity(75,11,58),0.7642))\r\n%%\r\nassert(isequal(raschig_sphericity(85,84,91),0.2270))\r\n%%\r\nassert(isequal(raschig_sphericity(28,13,74),0.5982))\r\n%%\r\nassert(isequal(raschig_sphericity(56,1,43),0.8440))\r\n%%\r\nassert(isequal(raschig_sphericity(44,78,97),0.4158))\r\n%%\r\nassert(isequal(raschig_sphericity(59,15,66),0.7230))\r\n%%\r\nassert(isequal(raschig_sphericity(73,43,56),0.4007))\r\n%%\r\nassert(isequal(raschig_sphericity(27,99,100),0.0909))\r\n%%\r\nassert(isequal(raschig_sphericity(83,60,93),0.5209))\r\n","published":true,"deleted":false,"likes_count":4,"comments_count":4,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":98,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-26T17:26:21.000Z","updated_at":"2026-03-18T09:57:55.000Z","published_at":"2020-03-26T17:26:21.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/media/image1.JPEG\"}],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSphericity is a measure of the roundness of any particle. It was defined by Wadell in 1935 as the ratio of the 'surface area of a sphere having the same volume as the given particle' to the 'surface area of the given particle'. By definition, the maximum value of sphericity is 1, which is that of a perfect sphere. The more elongated a particle is, the lesser its sphericity.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA Raschig ring is a common particle found in packed beds that are shaped like small pieces of a tube (see figure). As a hollow cylinder, it has a height H, inner radius R1, and outer radius R2. The sphericity of a Raschig ring is important to calculate as it can influence the performance of a packed bed for adsorption.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eMake a function that takes three values: H, R1, and R2. Output the sphericity of this hollow cylinder rounded to 4 decimal places. You are ensured that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eH, R1, and R2 are all positive integers\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eR1 \u0026lt; R2\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAll inputs have consistent units; and\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle 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\"}]}"},{"id":45464,"title":"Design a minimum-cost cable network for a power grid","description":"You are given the 2-D point locations ( _xi_ , _yi_ ) of *N* _components_ of a power grid. These _components_ include power sources (power plants, wind farms, solar farms, etc.), loads (residential, commercial, etc.), storage stations, and substations. However, the cables between them are not yet installed. \r\n\r\nYour task is to design a _complete_ cable network by installing cables between pairs of components. A network is considered _complete_ if and only if a path exists from any component _A_ to any other component _B_. A _completed_ network of cables is enough to deliver power from any source to any load or vice versa (excess power can be sent back to the grid). After all, cables can carry power in both directions. \r\n\r\nHowever, the cost of installing a cable between components _A_ \u0026 _B_ is *D* dollars per unit straight-line distance between their point locations. This means that we don't want to install too many cables; we only need to install enough to make the network _complete_. Knowing the locations of all *N* components, can you design a _complete_ cable network whose total installation cost is minimium?\r\n\r\nWrite a function that accepts variables *P* and *D*. Variable *P* is an *N*-by-2 matrix where each row is a location ( _xi_ , _yi_ ). Output the required minimum total installation cost, rounded to 2 decimal places. You are ensured that:\r\n\r\n* 2 \u003c= *N* \u003c= 100\r\n* 100 \u003c= *D* \u003c= 1000 and 1 \u003c= _xi_, _yi_ \u003c= 100\r\n* *D* and all elements of *P* are integers\r\n* All point locations in a test case are distinct\r\n \r\n\r\nA sample test case is given below. \r\n\r\n \u003e\u003e P = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; ...\r\n 5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];\r\n\u003e\u003e connect_grid(P,400)\r\nans = \r\n 18394.83\r\n\r\nA visualization of this case is given here: \u003chttps://drive.google.com/open?id=1wqnH0j6aihbD_Jm5pxrW7dhTm3VxrEAI\u003e\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 929.6px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 464.8px; transform-origin: 407px 464.8px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYou are given the 2-D point locations (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003exi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eyi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ) 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomponents\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of a power grid. These\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomponents\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e include power sources (power plants, wind farms, solar farms, etc.), loads (residential, commercial, etc.), storage stations, and substations. However, the cables between them are not yet installed.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; 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 41.6px; text-align: left; transform-origin: 384px 41.6px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYour task is to design a\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomplete\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e cable network by installing cables between pairs of components. A network is considered\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomplete\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e if and only if a path exists from any component\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eA\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e to any other component\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eB\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. A\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecompleted\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e network of cables is enough to deliver power from any source to any load or vice versa (excess power can be sent back to the grid). After all, cables can carry power in both directions.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; 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 41.6px; text-align: left; transform-origin: 384px 41.6px; 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=\"\"\u003eHowever, the cost of installing a cable between components\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eA\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026amp;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eB\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eD\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e dollars per unit straight-line distance between their point locations. This means that we don't want to install too many cables; we only need to install enough to make the network\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomplete\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Knowing the locations of all\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e components, can you design a\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ecomplete\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e cable network whose total installation cost is minimium?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that accepts variables\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eD\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Variable\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is an\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e-by-2 matrix where each row is a location (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003exi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eyi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ). Output the required minimum total installation cost, rounded to 2 decimal places. You are ensured that:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 80px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 40px; transform-origin: 391px 40px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e2 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 100\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e100 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eD\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 1000 and 1 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003exi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eyi\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 100\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eD\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and all elements of\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are integers\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAll point locations in a test case are distinct\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA sample test case is given below.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 100px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 50px; transform-origin: 404px 50px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; P = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(14, 0, 255); border-block-start-color: rgb(14, 0, 255); border-bottom-color: rgb(14, 0, 255); border-inline-end-color: rgb(14, 0, 255); border-inline-start-color: rgb(14, 0, 255); border-left-color: rgb(14, 0, 255); border-right-color: rgb(14, 0, 255); border-top-color: rgb(14, 0, 255); caret-color: rgb(14, 0, 255); color: rgb(14, 0, 255); column-rule-color: rgb(14, 0, 255); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(14, 0, 255); text-decoration: none; text-decoration-color: rgb(14, 0, 255); \"\u003e...\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; connect_grid(P,400)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 18394.83\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA visualization of this case is given below:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 351.6px; 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 175.8px; text-align: left; transform-origin: 384px 175.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"719\" height=\"346\" style=\"vertical-align: baseline;width: 719px;height: 346px\" 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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = connect_grid(P,D)\r\n y = D;\r\nend","test_suite":"%%\r\nfiletext = fileread('connect_grid.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nP = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; ...\r\n 5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];\r\nassert(isequal(connect_grid(P,400),18394.83))\r\n%%\r\nP = [18 4;4 18;57 73;89 48;67 16;20 35;37 61;47 20;99 74;16 25;...\r\n86 92;65 27;38 77;20 19;43 29;49 10;13 58;59 69;23 55;39 43;...\r\n59 65;26 65;30 68;62 64;27 95;83 21;99 71;74 24;35 12;59 61;...\r\n11 46;91 46;88 67;82 78;27 36;60 67;3 42;43 85;32 84;17 26;...\r\n18 62;43 59;10 55;60 87;48 27;70 32;70 12;64 94;4 65;7 48;...\r\n32 64;54 55;66 65;41 55;82 73;72 53;97 100;54 22;33 11;11 11;...\r\n62 7;78 41;43 45;10 37;27 77;16 63;29 78;45 94;53 98;46 20;...\r\n88 14;52 70;95 10;64 53;96 54;25 87;68 49;29 40;68 68;70 75;...\r\n7 53;26 35;23 15;67 59;85 27;35 5;79 76;68 25;1 45;61 69;...\r\n39 36;92 74;1 40;47 69;43 71;47 45;78 2;33 34;79 43;48 28];\r\nassert(isequal(connect_grid(P,278),181163.75))\r\n%%\r\nP = [43 99;89 52;40 89;77 59;40 16;81 20;76 41;38 75;22 83;80 79;...\r\n95 32;33 54;68 9;44 12;84 14;77 68;17 50;87 19];\r\nassert(isequal(connect_grid(P,546),144787.59))\r\n%%\r\nP = [50 52;49 100;55 50;49 54;28 33;52 61;42 49;45 50;62 41;50 29;...\r\n44 34;54 56;31 68;42 60;73 40;37 61;50 40;48 40;53 61;48 45;...\r\n48 57;66 73;59 45;46 50;41 67;37 47;27 49;30 41;60 57;53 53;...\r\n43 31;49 65;44 76;49 62;65 48;33 56;46 28;37 52;77 53;26 46;...\r\n53 76;43 52;41 52;47 57;67 51;51 67;63 57;54 78;58 43;49 21;...\r\n36 46];\r\nassert(isequal(connect_grid(P,736),193054.63))\r\n%%\r\nP = [67 33;48 32;54 22;58 58;70 56;25 45;52 36;50 46;48 78;47 41];\r\nassert(isequal(connect_grid(P,330),38552.89))\r\n%%\r\nP = [45 47;59 25];\r\nassert(isequal(connect_grid(P,921),24016.74))\r\n%%\r\nP = [44 55;38 58;47 41];\r\nassert(isequal(connect_grid(P,627),13183.32))\r\n%%\r\nP = [45 48;23 52;51 54;39 57;39 66;56 35;52 47;42 54;51 44;51 20;...\r\n54 29;25 50;65 62;54 71;77 55];\r\nassert(isequal(connect_grid(P,705),88660.58))\r\n%%\r\nP = [31 54;51 61;51 20;38 18;46 70;34 78;40 40;51 65;11 42;59 47;...\r\n78 57;74 20;49 61;52 62;74 66;36 41;13 38;36 60;27 29;73 50;...\r\n24 66;29 76;50 58;43 80;72 52;53 32;64 49;53 63;54 77;67 41;...\r\n74 51;53 80;60 21;45 60;21 44;21 64;58 48;45 32;30 68;75 70;...\r\n39 68;40 21;36 74;19 45;33 21;67 60;80 68;21 52;42 37;54 39;...\r\n36 53;56 49;45 12;75 44;29 72;15 39;24 53;55 87;28 70;76 49;...\r\n74 55;78 43;39 44;48 43;47 45;45 53;46 74;60 54;62 29;25 47;...\r\n83 49;37 55;52 73;35 49;33 49;32 55;59 17;58 55;80 45;48 75;...\r\n42 49;64 62;50 38;34 31;49 15;61 50;52 39;33 23;80 57;47 29;...\r\n38 33;51 62;57 36;69 37;57 63;76 43;69 75;48 62;65 29;39 37];\r\nassert(isequal(connect_grid(P,466),206237.38))\r\n%%\r\nP = [39 80;52 47;39 43;77 62;69 44;50 74;53 48;70 49;61 70;50 35;...\r\n71 60;49 81;28 50;45 42;13 42;64 16;50 67;68 53;50 82;35 60;...\r\n48 12;18 48;59 26;70 47;53 54;40 59;58 30;50 25;42 68;55 29;...\r\n56 43;14 50;46 72;49 64;34 49;44 56;56 48;28 54;60 43;58 52;...\r\n56 46;47 31;43 21;49 40;41 45;33 22;37 55;80 47;44 16;85 51;...\r\n34 48;46 19;20 40;82 43;54 17;32 59;76 64;61 34;32 42;52 41;...\r\n51 60;69 27;39 23;36 39;39 61;30 57;53 72;39 51;51 37;69 60;...\r\n51 26;16 56;41 58;61 48;30 71;49 35;60 36;48 64;66 18;61 54;...\r\n33 69;49 43;53 32;46 44;17 59;57 14;69 54;22 50;39 27;52 78;...\r\n53 55;65 64;65 25;22 56;37 48;50 68;31 46;58 70;21 69;48 63];\r\nassert(isequal(connect_grid(P,652),270213.53))\r\n%%\r\nP = [19 21;26 23;19 19;17 15;20 15;15 17;21 18;19 15;32 56;35 64;...\r\n30 61;26 54;26 61;23 59;26 51;30 51;30 60;29 65;68 32;74 31;...\r\n66 29;70 36;76 31;71 29;71 35;75 29;77 29];\r\nassert(isequal(connect_grid(P,516),76114.60))\r\n%%\r\nP = [79 11;84 19;84 16;80 21;75 18;80 12;87 19;88 18;89 20;75 23;...\r\n78 58;72 59;68 64;62 60;72 57;74 55;75 60;72 61;66 58;67 59;...\r\n71 60;69 59;19 53;18 52;18 49;24 47;24 50;20 53;14 57;20 45;...\r\n16 55;20 57;29 52];\r\nassert(isequal(connect_grid(P,833),133508.95))\r\n%%\r\nP = [80 14;82 18;76 13;81 12;70 19;81 13;74 20;74 25;84 13;74 13;...\r\n80 28;73 24;79 25;73 18;82 23;82 24;86 19;79 17;83 18;77 24;...\r\n71 16;83 20;79 13;78 28;72 21;83 19;83 15;87 19;85 20;80 27;...\r\n83 27;71 57;66 52;76 57;69 60;69 58;69 64;69 61;70 66;70 60;...\r\n69 51;72 60;68 54;73 60;73 64;68 56;69 52;71 65;75 55;79 60;...\r\n62 63;70 68;68 63;70 53;64 57;76 64;63 56;62 57;63 57;64 58;...\r\n70 55;71 59;72 58;20 49;10 48;14 44;21 50;20 46;18 45;20 55;...\r\n26 49;23 49;21 58;15 49;21 55;17 51;18 51;14 47;14 51;19 41;...\r\n15 52;25 46;16 52;19 53;17 47;23 51;28 50;11 49;13 50;12 49;...\r\n19 58;21 51;15 57;20 50;20 54];\r\nassert(isequal(connect_grid(P,669),165201.64))\r\n%%\r\nP = [48 42;52 25;58 41;39 40;45 39;48 45;63 34;62 34;51 43;50 22;...\r\n64 32;59 32;50 27;50 33;57 31;55 27;49 24;38 38;44 32;64 27;...\r\n47 33;56 52;54 44;40 35;39 28;63 36;31 31;56 32;54 47;59 46;...\r\n58 23;50 44;52 40;65 57;60 59;70 51;60 58;69 57;69 67;71 58;...\r\n65 54;72 65;72 58;76 61;67 62;69 69;62 61;76 56;69 59;67 64;...\r\n72 53;61 59;71 63;73 60;68 61;65 59;70 59;62 59;73 59;68 53;...\r\n76 58;72 63;72 60;70 65;65 55;67 56;26 43;15 57;17 47;17 44;...\r\n11 52;17 40;20 42;17 51;22 47;18 52;23 53;23 50;18 55;22 52;...\r\n18 45;20 52;14 44;19 52;19 45;29 49;20 43;18 44;14 49;22 57;...\r\n15 44;18 50;14 47;23 59;16 54;16 50;23 51;13 50;24 42;19 54];\r\nassert(isequal(connect_grid(P,421),113257.41))\r\n%%\r\nP = [13 39;15 100;14 2;12 49;15 83;11 100;12 87;15 42;13 37;14 10;...\r\n12 74;14 34;14 99;13 9;13 64;12 15;12 94;14 21;13 36;15 91;...\r\n14 40;12 30;11 30;14 92;13 24;12 80;14 22;14 78;14 62;12 52;...\r\n13 1;11 18;13 16;13 2;13 5;13 17;11 82;12 24;13 12;13 68;...\r\n14 36;11 68;15 44;13 58;12 77;12 70;14 58;12 40;13 94;14 54;...\r\n13 67;14 18;12 93;15 64;14 49;11 47;11 12;15 45;12 7;11 95;...\r\n14 17;14 84;15 52;14 75;15 75;15 97;12 92;15 6;13 78;13 34;...\r\n14 86;13 43;12 19;12 21;14 95;12 83;12 88;15 18;11 96;13 93;...\r\n11 23;13 27;13 3;15 34;13 31;12 67;11 14;15 31;12 63;13 99;...\r\n13 84;11 3;13 79;15 29;12 66;12 65;12 18;15 54;11 75;11 1];\r\nassert(isequal(connect_grid(P,529),89880.18))\r\n%%\r\nP = [79 53;35 50;62 53;50 51;62 35;53 42;46 60;15 56;45 75;78 41;...\r\n21 66;63 32;55 43;48 52;45 74;41 58;47 53;29 28;37 50;58 54;...\r\n29 37;46 36;63 55;49 19;50 50;55 56;59 47;55 26;34 57;44 58;...\r\n37 49;44 79;51 22;42 13;54 46;57 37;35 78;61 46;40 38;38 45;...\r\n49 55;39 55;50 61;48 23;52 73;51 54;57 50;61 54;18 60;68 74;...\r\n66 56;35 69;49 49;51 86;41 53;43 19;51 38;39 50;58 19;57 43;...\r\n42 50;47 57;37 54;56 65;48 17;76 43;49 25;51 51;87 53;50 20;...\r\n35 67;74 67;28 61;71 54;30 56;73 53;49 81;22 65;43 46;43 82;...\r\n49 61;47 75;52 68;47 49;15 41;49 44;51 49;37 46;72 41;43 55;...\r\n77 29;51 58;69 76;50 40;37 74;66 65;48 66;45 77;25 53;48 53];\r\nassert(isequal(connect_grid(P,705),287274.75))\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":16,"test_suite_updated_at":"2020-04-16T22:13:36.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-16T15:53:39.000Z","updated_at":"2025-12-04T16:06:04.000Z","published_at":"2020-04-16T18:39:40.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are given the 2-D point locations (\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\u003exi\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eyi\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:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\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\u003ecomponents\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of a power grid. These\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\u003ecomponents\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e include power sources (power plants, wind farms, solar farms, etc.), loads (residential, commercial, etc.), storage stations, and substations. However, the cables between them are not yet installed.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task is to design a\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\u003ecomplete\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e cable network by installing cables between pairs of components. A network is considered\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\u003ecomplete\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e if and only if a path exists from any component\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to any other component\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eB\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. A\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\u003ecompleted\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e network of cables is enough to deliver power from any source to any load or vice versa (excess power can be sent back to the grid). After all, cables can carry power in both directions.\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\u003eHowever, the cost of installing a cable between components\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026amp;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eB\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eD\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e dollars per unit straight-line distance between their point locations. This means that we don't want to install too many cables; we only need to install enough to make the network\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\u003ecomplete\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Knowing the locations of all\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e components, can you design a\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\u003ecomplete\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e cable network whose total installation cost is minimium?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts variables\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eD\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Variable\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is an\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-by-2 matrix where each row is a location (\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\u003exi\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eyi\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ). Output the required minimum total installation cost, rounded to 2 decimal places. You are ensured that:\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\u003e2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e100 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eD\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 1000 and 1 \u0026lt;=\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\u003exi\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eyi\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eD\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and all elements of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are integers\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\u003eAll point locations in a test case are distinct\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA sample test case is given below.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e P = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; ...\\n 5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];\\n\u003e\u003e connect_grid(P,400)\\nans = \\n 18394.83]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA visualization of this case is given below:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"346\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"719\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" 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corrosion on a metal plate: Find the largest pit","description":"You are given an N x M matrix of _ones_ and _zeros_, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The _ones_ denote areas where the plate has corroded visibly, whereas _zeros_ are areas where the metal is still in good condition. The *corroded areas* (the matrix elements with _ones_) can be found at multiple points on the metal plate. \r\n\r\nA collection of *corroded areas* that are next to each other is called a _pit_. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\r\n\r\nFor this problem, a _pit_ is defined more clearly as follows: Two *corroded areas* at [row _R1_, column _C1_] and [row _R2_, column _C2_] belong _to the same pit_ if and only if |max(abs(R1-R2),abs(C1-C2)) \u003c= 1|. In other words, if two *corroded areas* are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\r\n\r\nThe size of a pit is equal to the number of *corroded areas* (or _ones_) that belong to it.\r\n\r\nWrite a function that accepts a matrix X denoting the image in question. Output the size of the largest pit in this image. You are ensured that the size of the matrix is constrained at 1 \u003c= N \u003c= 20 and 1 \u003c= M \u003c= 20.\r\n\r\nAs an example, consider the following 10 x 10 image (left). The *corroded areas* that belong to the same pit are then labeled, showing that the largest pit is Pit 1, with a size of 6 (right). In contrast, Pits 2, 3, 4 and 5 have size 2, 2, 4, and 4, respectively.\r\n\r\n Sample test case:\r\n X = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\r\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\r\n The largest pit in this image is Pit 1, with size 6.","description_html":"\u003cp\u003eYou are given an N x M matrix of \u003ci\u003eones\u003c/i\u003e and \u003ci\u003ezeros\u003c/i\u003e, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The \u003ci\u003eones\u003c/i\u003e denote areas where the plate has corroded visibly, whereas \u003ci\u003ezeros\u003c/i\u003e are areas where the metal is still in good condition. The \u003cb\u003ecorroded areas\u003c/b\u003e (the matrix elements with \u003ci\u003eones\u003c/i\u003e) can be found at multiple points on the metal plate.\u003c/p\u003e\u003cp\u003eA collection of \u003cb\u003ecorroded areas\u003c/b\u003e that are next to each other is called a \u003ci\u003epit\u003c/i\u003e. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\u003c/p\u003e\u003cp\u003eFor this problem, a \u003ci\u003epit\u003c/i\u003e is defined more clearly as follows: Two \u003cb\u003ecorroded areas\u003c/b\u003e at [row \u003ci\u003eR1\u003c/i\u003e, column \u003ci\u003eC1\u003c/i\u003e] and [row \u003ci\u003eR2\u003c/i\u003e, column \u003ci\u003eC2\u003c/i\u003e] belong \u003ci\u003eto the same pit\u003c/i\u003e if and only if \u003ctt\u003emax(abs(R1-R2),abs(C1-C2)) \u0026lt;= 1\u003c/tt\u003e. In other words, if two \u003cb\u003ecorroded areas\u003c/b\u003e are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\u003c/p\u003e\u003cp\u003eThe size of a pit is equal to the number of \u003cb\u003ecorroded areas\u003c/b\u003e (or \u003ci\u003eones\u003c/i\u003e) that belong to it.\u003c/p\u003e\u003cp\u003eWrite a function that accepts a matrix X denoting the image in question. Output the size of the largest pit in this image. You are ensured that the size of the matrix is constrained at 1 \u0026lt;= N \u0026lt;= 20 and 1 \u0026lt;= M \u0026lt;= 20.\u003c/p\u003e\u003cp\u003eAs an example, consider the following 10 x 10 image (left). The \u003cb\u003ecorroded areas\u003c/b\u003e that belong to the same pit are then labeled, showing that the largest pit is Pit 1, with a size of 6 (right). In contrast, Pits 2, 3, 4 and 5 have size 2, 2, 4, and 4, respectively.\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eSample test case:\r\nX = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\r\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\r\nThe largest pit in this image is Pit 1, with size 6.\r\n\u003c/pre\u003e","function_template":"function y = largest_pit(X)\r\n y = X;\r\nend","test_suite":"%%\r\nfiletext = fileread('largest_pit.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\n%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(largest_pit(x),y_correct))\r\n%%\r\nx = 0;\r\ny_correct = 0;\r\nassert(isequal(largest_pit(x),y_correct))\r\n%%\r\nx = [1 0 1 0 1];\r\ny_correct = 1;\r\nassert(isequal(largest_pit(x),y_correct))\r\n%%\r\nx = [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0\r\n 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 1 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0];\r\n assert(isequal(largest_pit(x),7))\r\n %%\r\n x = [ 0 1 1 1 0 1 1 1 0 0\r\n 0 0 0 0 1 0 1 1 1 0\r\n 0 1 1 0 0 0 0 0 0 0\r\n 1 1 0 1 1 1 1 0 1 0\r\n 1 1 0 0 0 1 0 0 1 1\r\n 1 0 0 0 0 1 0 0 0 0\r\n 1 1 0 1 1 1 0 1 0 1\r\n 0 0 0 1 1 1 1 1 0 0\r\n 0 0 1 1 0 1 0 1 1 1\r\n 0 1 0 1 0 1 0 1 0 0];\r\nassert(isequal(largest_pit(x),34))\r\n%%\r\nx = [ 0 0 0 1 0 1 1 0 0 1 1\r\n 1 0 0 0 0 0 0 0 0 0 0\r\n 1 0 1 0 0 0 0 0 1 1 0\r\n 1 1 0 1 0 0 0 0 0 0 0\r\n 0 0 0 1 1 0 1 1 0 0 0\r\n 0 1 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 1 0 0 0 1 0\r\n 0 0 0 1 0 0 0 0 0 1 0\r\n 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 1 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1\r\n 0 1 0 0 0 0 0 0 0 1 1\r\n 0 1 0 0 0 0 1 0 0 0 0];\r\nassert(isequal(largest_pit(x),8))\r\n%%\r\nx = [ 1 0 1 0 0 0 0 0 1 0 1 1 0 0 0 0 1 0 1 1\r\n 0 1 1 0 0 1 1 0 0 0 1 0 0 0 0 1 0 0 1 0\r\n 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 0 0 1 0\r\n 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 1 1 0 1 0\r\n 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 1 0 1 1 0 1 0 0 0 0 0 1 0 0 0 0 1 0\r\n 1 0 1 1 0 0 0 0 0 0 1 1 0 1 1 1 0 0 0 0\r\n 0 0 1 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 1 0 1 1 1 0 1 0 0 0 0 0 0\r\n 0 0 0 1 0 1 1 1 0 0 1 1 0 0 0 0 1 0 0 0];\r\nassert(isequal(largest_pit(x),15))\r\n%%\r\nx = [ 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1\r\n 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1\r\n 1 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0\r\n 1 0 0 1 0 0 0 0 1 1 0 0 0 1 0 1 0 0 0 0\r\n 1 1 0 1 0 0 1 0 0 0 1 1 0 0 0 1 1 1 0 1\r\n 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1\r\n 0 0 0 0 1 1 1 0 0 0 0 1 0 0 0 0 1 0 1 1\r\n 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1 1 0 0 0 1\r\n 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0 1 0 0 1 0\r\n 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 1 1\r\n 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 1 0\r\n 1 0 0 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 0 1\r\n 1 1 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0\r\n 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 0 1 0 0 1\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 1\r\n 0 1 0 1 0 1 1 0 0 0 1 1 0 0 0 0 1 0 0 0\r\n 1 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1 1 0 1 0\r\n 0 0 1 0 1 0 0 0 0 1 0 0 0 1 1 1 0 0 0 0\r\n 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0\r\n 1 0 0 1 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0];\r\nassert(isequal(largest_pit(x),27))\r\n%%\r\nx = zeros(14);\r\nassert(isequal(largest_pit(x),0))\r\n%%\r\nx = [ 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 1 0\r\n 0 0 1 1 1 0 0 0 1 1 0 1 1 1 0 1 1\r\n 1 0 1 1 1 0 0 0 1 1 0 0 1 1 1 1 1\r\n 1 0 0 1 1 1 1 1 0 1 1 1 0 1 0 1 0\r\n 1 1 0 1 0 0 1 1 1 1 1 1 1 0 1 0 1\r\n 0 1 0 0 0 1 1 1 0 0 0 1 1 1 1 0 1\r\n 0 1 1 0 0 1 1 1 0 1 1 0 1 0 0 1 1\r\n 1 1 0 0 0 1 0 1 1 0 1 0 1 0 0 1 1\r\n 1 0 0 1 0 0 1 1 0 1 1 0 0 0 1 0 0\r\n 0 0 1 0 0 1 1 1 0 1 0 1 0 1 1 1 1\r\n 1 0 1 0 1 1 1 0 1 0 0 0 1 0 1 1 0\r\n 0 1 0 1 1 1 1 1 0 1 0 0 0 0 0 0 0\r\n 1 1 1 1 0 0 0 0 1 1 0 1 1 0 1 0 1\r\n 1 1 0 1 1 0 0 0 1 1 0 0 1 1 1 0 1\r\n 0 0 1 0 0 1 1 1 0 1 1 0 1 1 1 0 1\r\n 0 1 1 1 1 1 0 0 1 1 0 1 0 1 1 0 1\r\n 1 1 1 0 1 0 1 1 1 1 0 0 1 1 0 1 0];\r\nassert(isequal(largest_pit(x),150))\r\n%%\r\nx = repmat([1 1 1 0;1 0 1 0;1 1 1 0; 0 0 0 0],4,5);\r\nassert(isequal(largest_pit(x),8))\r\n%%\r\nx = [0 1 0 1 0 0 0 1\r\n 1 0 0 1 1 0 0 0];\r\nassert(isequal(largest_pit(x),3))\r\n%%\r\nx = [ 0 1 0 0 0 1 0 0 0 1 1 1 1 0 1 1 1 1 0 0\r\n 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0\r\n 1 0 0 0 0 0 1 0 0 0 0 1 1 1 1 0 1 1 0 1\r\n 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 1 1 0\r\n 0 0 1 0 0 1 1 1 1 1 1 1 0 0 1 0 1 0 0 0\r\n 0 0 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0\r\n 1 0 1 0 0 1 0 0 1 1 0 0 1 0 0 0 1 0 0 0\r\n 0 1 1 1 0 0 1 1 0 0 1 0 0 1 1 0 1 1 1 0\r\n 0 1 1 0 0 0 0 0 1 0 0 1 0 0 1 1 0 1 1 1\r\n 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 1\r\n 1 0 0 1 1 0 1 0 1 0 1 1 0 1 0 1 0 0 1 0\r\n 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0\r\n 0 1 1 0 0 0 0 0 1 0 0 0 1 0 1 1 0 1 1 0\r\n 0 1 1 0 0 0 1 0 0 0 0 1 1 0 0 1 0 1 1 1\r\n 0 0 0 0 0 0 1 0 0 1 0 0 1 0 1 1 0 1 0 0\r\n 1 0 1 0 0 0 1 1 1 1 1 1 1 1 0 0 1 0 1 1\r\n 1 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0\r\n 1 1 0 0 1 0 0 1 0 1 1 1 1 0 1 1 0 0 0 1\r\n 0 0 0 1 0 0 1 0 0 1 1 1 0 0 1 0 0 0 0 1\r\n 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0];\r\nassert(isequal(largest_pit(x),91))\r\n%%\r\nx = [ 0 1 0 0 1 1 0 1 0 0 0 0 1 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 1 1 0 0 1 0 0 0 0 0 0 1 0 0\r\n 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0\r\n 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1\r\n 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0\r\n 0 1 0 0 0 1 1 1 0 1 1 1 0 1 1\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0\r\n 1 0 0 1 1 0 1 0 0 0 0 0 1 0 0\r\n 1 1 0 0 0 0 0 0 0 0 1 0 1 1 0\r\n 1 1 0 0 1 0 1 1 0 0 0 0 1 1 0\r\n 1 0 0 1 0 0 1 1 0 1 0 0 0 0 0\r\n 1 0 1 1 1 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0];\r\nassert(isequal(largest_pit(x),9))\r\n%%\r\nx = [ 0 0 0 0 0 0 1 1 0 0 1 0 1 0 0\r\n 0 0 0 0 1 0 1 0 1 1 0 0 0 0 0\r\n 0 1 1 0 0 1 0 1 0 0 0 0 0 0 0\r\n 1 0 0 1 0 1 0 1 0 0 1 1 0 0 0\r\n 0 1 0 1 0 1 0 0 0 1 0 0 0 0 1\r\n 0 1 0 0 0 1 0 1 0 0 1 0 0 1 0\r\n 1 1 0 0 0 0 1 0 0 1 0 1 0 0 1\r\n 0 1 1 0 0 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0\r\n 1 1 0 0 1 0 0 1 0 1 0 0 0 0 1\r\n 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0\r\n 1 0 1 0 1 1 1 0 1 0 0 0 0 0 0\r\n 1 0 0 0 1 0 0 1 0 0 1 0 1 0 1\r\n 1 0 0 1 0 0 0 0 0 0 1 0 1 1 1\r\n 0 1 0 1 0 0 1 1 0 0 0 1 1 0 0];\r\nassert(isequal(largest_pit(x),16))\r\n%%\r\nx = [ 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 1\r\n 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0\r\n 0 0 0 0 1 0 1 0 0 0 0 1 0 0 1 0 1 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 1 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0\r\n 0 0 1 0 0 0 0 0 1 1 1 0 0 0 1 0 0 0 1 0\r\n 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1 0];\r\nassert(isequal(largest_pit(x),7))\r\n%%\r\nx = [ 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 1\r\n 0 0 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 0 1];\r\nassert(isequal(largest_pit(x),6))\r\n%%\r\nx = [ 1 1 1 1 0 0 0 0 1 0 1 1 1 1 0 1 0 1 1 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0\r\n 0 0 1 1 1 1 1 0 1 1 1 0 0 0 1 1 1 1 1 1\r\n 1 1 0 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 0 1\r\n 1 0 0 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 0 0\r\n 0 0 1 0 1 1 0 0 0 1 0 0 1 1 1 1 0 1 0 0\r\n 1 1 1 1 1 1 1 1 1 0 1 0 0 1 0 0 0 0 0 0\r\n 1 0 0 0 0 1 0 1 1 1 0 0 0 0 1 1 1 1 1 0\r\n 1 1 1 1 1 0 1 1 0 1 0 1 1 0 0 1 0 1 0 1\r\n 1 1 0 1 0 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1];\r\nassert(isequal(largest_pit(x),104))\r\n%%\r\nx = [ 0 0 1 1 1 0 0 1 0 1 0 0 1 0 1 1 1\r\n 1 1 0 0 1 0 0 0 1 1 1 1 1 1 1 0 1\r\n 1 0 0 0 1 1 1 1 0 1 1 1 1 0 1 0 0\r\n 0 1 1 0 1 0 1 1 0 1 0 0 1 1 1 1 0\r\n 1 1 1 1 0 1 0 1 1 1 1 0 1 1 0 1 0\r\n 1 1 1 0 0 0 0 0 0 0 0 0 1 0 1 1 1\r\n 1 0 1 0 0 0 0 1 1 0 1 1 1 1 0 1 0\r\n 1 0 0 0 1 0 1 0 1 0 0 0 0 1 1 1 0\r\n 0 1 0 1 0 0 1 1 1 0 1 1 0 0 0 1 0\r\n 1 0 0 0 0 1 0 0 0 0 1 0 0 1 1 0 1\r\n 0 1 1 0 1 0 1 0 0 0 0 1 0 0 0 1 1\r\n 0 0 1 0 0 1 1 0 0 1 1 1 1 1 1 0 1\r\n 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 1 1 0 1 1 0 0 1 1 1 0 0 0 0 1 0\r\n 0 0 1 1 0 0 0 0 1 1 1 1 0 1 0 0 0\r\n 1 1 0 1 1 1 0 1 1 0 0 0 0 0 0 0 1\r\n 1 1 0 1 1 0 1 1 1 1 1 1 1 0 1 1 1\r\n 0 1 1 1 0 1 0 1 1 0 0 1 0 0 0 0 1\r\n 1 0 0 1 0 1 0 0 1 1 0 1 0 0 1 0 1\r\n 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 0 1];\r\nassert(isequal(largest_pit(x),158))\r\n\r\n\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":22,"test_suite_updated_at":"2020-04-09T23:45:40.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-09T20:15:45.000Z","updated_at":"2025-12-04T14:34:41.000Z","published_at":"2020-04-09T20:58:41.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are given an N x M matrix of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ezeros\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e denote areas where the plate has corroded visibly, whereas\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\u003ezeros\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are areas where the metal is still in good condition. The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (the matrix elements with\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\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) can be found at multiple points on the metal plate.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA collection of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that are next to each other is called a\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\u003epit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, a\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\u003epit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is defined more clearly as follows: Two\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e at [row\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\u003eR1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, column\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\u003eC1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e] and [row\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\u003eR2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, column\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\u003eC2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e] belong\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\u003eto the same pit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e if and only if\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emax(abs(R1-R2),abs(C1-C2)) \u0026lt;= 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. In other words, if two\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe size of a pit is equal to the number of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (or\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw: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\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) that belong to it.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts a matrix X denoting the image in question. Output the size of the largest pit in this image. You are ensured that the size of the matrix is constrained at 1 \u0026lt;= N \u0026lt;= 20 and 1 \u0026lt;= M \u0026lt;= 20.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAs an example, consider the following 10 x 10 image (left). The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that belong to the same pit are then labeled, showing that the largest pit is Pit 1, with a size of 6 (right). In contrast, Pits 2, 3, 4 and 5 have size 2, 2, 4, and 4, respectively.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[Sample test case:\\nX = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\\nThe largest pit in this image is Pit 1, with size 6.]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45411,"title":"Compute the missing quantity among P, V, T for an ideal gas","description":"Consider 100 mol of helium gas at a certain pressure (P), volume (V), and temperature (T). Assuming that the ideal gas law applies, can you compute one of the 3 quantities given the other two?\r\n\r\nRecall that, with SI units, the ideal gas law is given by:\r\n\r\n P x V = n x R x T\r\n where:\r\n P = pressure [Pa] or [kg/m/s^2]\r\n V = volume [m^3]\r\n n = number of moles [mol]\r\n R = gas constant, 8.314 [J/mol/K] or [kg.m^2/K/mol/s^2]\r\n T = temperature [K]\r\n\r\nWrite a function that takes a MATLAB variable, x, which is always a 3-element row vector containing the values of P, V, T in that order. However, exactly one of these values will be NaN, which you must solve using the ideal gas law equation above, given the other two values. All inputs are given in SI units, hence, you can use the given value of |R| above. Note that |n| = 100 mol. You are ensured that P, V, and/or T are floating-point numbers with 2 decimal places that satisfy the following constraints:\r\n\r\n* 1 x 10^5 \u003c= P \u003c= 3 x 10^5\r\n* 1 \u003c= V \u003c= 10\r\n* 300 \u003c= T \u003c= 500\r\n\r\nOutput the value of the missing quantity rounded to 2 decimal places, followed by a space, and then the correct units, either |Pa|, |m^3|, or |K|. For this, you can use |sprintf|. See sample test cases:\r\n\r\n \u003e\u003e idealgas([233424.06 NaN 435.02])\r\nans =\r\n '1.55 m^3'\r\n\u003e\u003e idealgas([109238.31 2.76 NaN])\r\nans =\r\n '362.64 K'\r\n\u003e\u003e idealgas([NaN 1.19 411.97])\r\nans =\r\n '287825.09 Pa'\r\n","description_html":"\u003cp\u003eConsider 100 mol of helium gas at a certain pressure (P), volume (V), and temperature (T). Assuming that the ideal gas law applies, can you compute one of the 3 quantities given the other two?\u003c/p\u003e\u003cp\u003eRecall that, with SI units, the ideal gas law is given by:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eP x V = n x R x T\r\n where:\r\n P = pressure [Pa] or [kg/m/s^2]\r\n V = volume [m^3]\r\n n = number of moles [mol]\r\n R = gas constant, 8.314 [J/mol/K] or [kg.m^2/K/mol/s^2]\r\n T = temperature [K]\r\n\u003c/pre\u003e\u003cp\u003eWrite a function that takes a MATLAB variable, x, which is always a 3-element row vector containing the values of P, V, T in that order. However, exactly one of these values will be NaN, which you must solve using the ideal gas law equation above, given the other two values. All inputs are given in SI units, hence, you can use the given value of \u003ctt\u003eR\u003c/tt\u003e above. Note that \u003ctt\u003en\u003c/tt\u003e = 100 mol. You are ensured that P, V, and/or T are floating-point numbers with 2 decimal places that satisfy the following constraints:\u003c/p\u003e\u003cul\u003e\u003cli\u003e1 x 10^5 \u0026lt;= P \u0026lt;= 3 x 10^5\u003c/li\u003e\u003cli\u003e1 \u0026lt;= V \u0026lt;= 10\u003c/li\u003e\u003cli\u003e300 \u0026lt;= T \u0026lt;= 500\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eOutput the value of the missing quantity rounded to 2 decimal places, followed by a space, and then the correct units, either \u003ctt\u003ePa\u003c/tt\u003e, \u003ctt\u003em^3\u003c/tt\u003e, or \u003ctt\u003eK\u003c/tt\u003e. For this, you can use \u003ctt\u003esprintf\u003c/tt\u003e. See sample test cases:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; idealgas([233424.06 NaN 435.02])\r\nans =\r\n '1.55 m^3'\r\n\u0026gt;\u0026gt; idealgas([109238.31 2.76 NaN])\r\nans =\r\n '362.64 K'\r\n\u0026gt;\u0026gt; idealgas([NaN 1.19 411.97])\r\nans =\r\n '287825.09 Pa'\r\n\u003c/pre\u003e","function_template":"function y = idealgas(x)\r\n y = x;\r\nend","test_suite":"%%\r\nassert(isequal(idealgas([233424.06 NaN 435.02]),'1.55 m^3'))\r\n%%\r\nassert(isequal(idealgas([294119.71 NaN 317.25]),'0.90 m^3'))\r\n%%\r\nassert(isequal(idealgas([173530.58 2.85 NaN]),'594.85 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.49 410.36]),'75985.15 Pa'))\r\n%%\r\nassert(isequal(idealgas([228388.12 5.36 NaN]),'1472.41 K'))\r\n%%\r\nassert(isequal(idealgas([120121.26 NaN 347.47]),'2.40 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.65 320.97]),'57388.06 Pa'))\r\n%%\r\nassert(isequal(idealgas([256885.58 3.62 NaN]),'1118.51 K'))\r\n%%\r\nassert(isequal(idealgas([186497.00 NaN 451.62]),'2.01 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 1.99 486.75]),'203358.77 Pa'))\r\n%%\r\nassert(isequal(idealgas([153235.77 8.18 NaN]),'1507.66 K'))\r\n%%\r\nassert(isequal(idealgas([179201.35 3.46 NaN]),'745.77 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 5.07 421.97]),'69196.42 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 7.95 439.29]),'45940.34 Pa'))\r\n%%\r\nassert(isequal(idealgas([126030.29 NaN 301.56]),'1.99 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 7.51 406.24]),'44973.09 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.14 326.86]),'126986.64 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.51 339.25]),'112371.49 Pa'))\r\n%%\r\nassert(isequal(idealgas([163285.80 2.96 NaN]),'581.34 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 6.00 336.89]),'46681.72 Pa'))\r\n%%\r\nassert(isequal(idealgas([115469.36 NaN 441.34]),'3.18 m^3'))\r\n%%\r\nassert(isequal(idealgas([162685.80 2.50 NaN]),'489.19 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 3.32 379.36]),'94999.97 Pa'))\r\n%%\r\nassert(isequal(idealgas([236819.21 NaN 496.57]),'1.74 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.39 376.27]),'130891.58 Pa'))\r\n%%\r\nassert(isequal(idealgas([251622.49 8.84 NaN]),'2675.42 K'))\r\n%%\r\nassert(isequal(idealgas([158829.73 NaN 466.48]),'2.44 m^3'))\r\n%%\r\nassert(isequal(idealgas([167062.27 NaN 390.52]),'1.94 m^3'))\r\n%%\r\nassert(isequal(idealgas([171921.26 NaN 448.51]),'2.17 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.12 304.89]),'119568.65 Pa'))\r\n%%\r\nassert(isequal(idealgas([163504.12 6.88 NaN]),'1353.03 K'))\r\n%%\r\nassert(isequal(idealgas([191577.27 3.16 NaN]),'728.15 K'))\r\n%%\r\nassert(isequal(idealgas([248129.61 7.69 NaN]),'2295.06 K'))\r\n%%\r\nassert(isequal(idealgas([192652.12 2.91 NaN]),'674.31 K'))\r\n%%\r\nassert(isequal(idealgas([135001.95 2.47 NaN]),'401.08 K'))\r\n%%\r\nassert(isequal(idealgas([203311.64 7.32 NaN]),'1790.04 K'))\r\n%%\r\nassert(isequal(idealgas([208176.82 7.12 NaN]),'1782.80 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.08 405.01]),'161887.17 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.59 383.02]),'69377.52 Pa'))\r\n%%\r\nassert(isequal(idealgas([151077.35 NaN 484.74]),'2.67 m^3'))\r\n%%\r\nassert(isequal(idealgas([286522.71 2.47 NaN]),'851.23 K'))\r\n%%\r\nassert(isequal(idealgas([215478.84 4.96 NaN]),'1285.51 K'))\r\n%%\r\nassert(isequal(idealgas([145733.90 1.58 NaN]),'276.95 K'))\r\n%%\r\nassert(isequal(idealgas([243042.50 NaN 383.81]),'1.31 m^3'))\r\n%%\r\nassert(isequal(idealgas([263228.02 3.86 NaN]),'1222.11 K'))\r\n%%\r\nassert(isequal(idealgas([270452.78 5.55 NaN]),'1805.40 K'))\r\n%%\r\nassert(isequal(idealgas([188792.83 NaN 473.35]),'2.08 m^3'))\r\n%%\r\nassert(isequal(idealgas([171014.73 NaN 344.83]),'1.68 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.49 328.44]),'60816.26 Pa'))\r\n%%\r\nassert(isequal(idealgas([184222.45 NaN 445.16]),'2.01 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 7.61 414.21]),'45252.85 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 3.39 484.92]),'118926.99 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 1.79 428.02]),'198802.14 Pa'))\r\n%%\r\nassert(isequal(idealgas([109010.22 NaN 369.49]),'2.82 m^3'))\r\n%%\r\nassert(isequal(idealgas([176773.72 6.65 NaN]),'1413.93 K'))\r\n%%\r\nassert(isequal(idealgas([260111.73 NaN 462.62]),'1.48 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 6.18 406.01]),'54620.83 Pa'))\r\n%%\r\nassert(isequal(idealgas([149725.79 5.06 NaN]),'911.25 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 1.27 407.13]),'266525.89 Pa'))\r\n%%\r\nassert(isequal(idealgas([260418.29 9.90 NaN]),'3100.96 K'))\r\n%%\r\nassert(isequal(idealgas([103635.51 NaN 456.75]),'3.66 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 9.09 425.19]),'38889.22 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.64 308.36]),'97110.04 Pa'))\r\n%%\r\nassert(isequal(idealgas([223288.70 NaN 370.89]),'1.38 m^3'))\r\n%%\r\nassert(isequal(idealgas([296869.88 9.51 NaN]),'3395.76 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.03 432.48]),'89221.80 Pa'))\r\n%%\r\nassert(isequal(idealgas([159101.45 NaN 405.57]),'2.12 m^3'))\r\n%%\r\nassert(isequal(idealgas([220527.64 NaN 416.71]),'1.57 m^3'))\r\n%%\r\nassert(isequal(idealgas([216714.12 5.61 NaN]),'1462.31 K'))\r\n%%\r\nassert(isequal(idealgas([299231.22 NaN 494.25]),'1.37 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 5.09 382.69]),'62508.54 Pa'))\r\n%%\r\nassert(isequal(idealgas([125130.92 3.78 NaN]),'568.91 K'))\r\n%%\r\nassert(isequal(idealgas([238757.52 1.09 NaN]),'313.02 K'))\r\n%%\r\nassert(isequal(idealgas([254190.84 1.38 NaN]),'421.92 K'))\r\n%%\r\nassert(isequal(idealgas([245902.61 3.02 NaN]),'893.22 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 6.61 347.29]),'43681.83 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 7.90 486.90]),'51241.60 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 1.89 397.95]),'175055.89 Pa'))\r\n%%\r\nassert(isequal(idealgas([279178.31 NaN 308.83]),'0.92 m^3'))\r\n%%\r\nassert(isequal(idealgas([254499.01 NaN 335.80]),'1.10 m^3'))\r\n%%\r\nassert(isequal(idealgas([142029.13 NaN 481.27]),'2.82 m^3'))\r\n%%\r\nassert(isequal(idealgas([120306.78 NaN 310.92]),'2.15 m^3'))\r\n%%\r\nassert(isequal(idealgas([186344.23 NaN 462.32]),'2.06 m^3'))\r\n%%\r\nassert(isequal(idealgas([278889.55 2.24 NaN]),'751.40 K'))\r\n%%\r\nassert(isequal(idealgas([283498.77 NaN 423.67]),'1.24 m^3'))\r\n%%\r\nassert(isequal(idealgas([287205.47 NaN 446.12]),'1.29 m^3'))\r\n%%\r\nassert(isequal(idealgas([266630.40 4.58 NaN]),'1468.81 K'))\r\n%%\r\nassert(isequal(idealgas([164492.08 NaN 495.83]),'2.51 m^3'))\r\n%%\r\nassert(isequal(idealgas([166084.72 6.58 NaN]),'1314.45 K'))\r\n%%\r\nassert(isequal(idealgas([182780.15 5.43 NaN]),'1193.76 K'))\r\n%%\r\nassert(isequal(idealgas([165550.99 8.54 NaN]),'1700.51 K'))\r\n%%\r\nassert(isequal(idealgas([NaN 4.21 432.53]),'85416.97 Pa'))\r\n%%\r\nassert(isequal(idealgas([146076.61 NaN 424.91]),'2.42 m^3'))\r\n%%\r\nassert(isequal(idealgas([232087.59 NaN 369.76]),'1.32 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 7.44 471.24]),'52659.80 Pa'))\r\n%%\r\nassert(isequal(idealgas([NaN 2.24 467.34]),'173458.25 Pa'))\r\n%%\r\nassert(isequal(idealgas([217641.88 NaN 461.35]),'1.76 m^3'))\r\n%%\r\nassert(isequal(idealgas([197918.87 NaN 370.63]),'1.56 m^3'))\r\n%%\r\nassert(isequal(idealgas([NaN 1.38 494.59]),'297972.56 Pa'))\r\n","published":true,"deleted":false,"likes_count":9,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":190,"test_suite_updated_at":"2020-03-31T14:35:13.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-31T13:58:54.000Z","updated_at":"2026-04-09T21:32:56.000Z","published_at":"2020-03-31T14:35:13.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eConsider 100 mol of helium gas at a certain pressure (P), volume (V), and temperature (T). Assuming that the ideal gas law applies, can you compute one of the 3 quantities given the other two?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eRecall that, with SI units, the ideal gas law is given by:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[P x V = n x R x T\\n where:\\n P = pressure [Pa] or [kg/m/s^2]\\n V = volume [m^3]\\n n = number of moles [mol]\\n R = gas constant, 8.314 [J/mol/K] or [kg.m^2/K/mol/s^2]\\n T = temperature [K]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes a MATLAB variable, x, which is always a 3-element row vector containing the values of P, V, T in that order. However, exactly one of these values will be NaN, which you must solve using the ideal gas law equation above, given the other two values. All inputs are given in SI units, hence, you can use the given value of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e above. Note that\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = 100 mol. You are ensured that P, V, and/or T are floating-point numbers with 2 decimal places that satisfy the following constraints:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1 x 10^5 \u0026lt;= P \u0026lt;= 3 x 10^5\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1 \u0026lt;= V \u0026lt;= 10\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e300 \u0026lt;= T \u0026lt;= 500\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOutput the value of the missing quantity rounded to 2 decimal places, followed by a space, and then the correct units, either\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ePa\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em^3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, or\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eK\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. For this, you can use\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003esprintf\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. See sample test cases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e idealgas([233424.06 NaN 435.02])\\nans =\\n '1.55 m^3'\\n\u003e\u003e idealgas([109238.31 2.76 NaN])\\nans =\\n '362.64 K'\\n\u003e\u003e idealgas([NaN 1.19 411.97])\\nans =\\n '287825.09 Pa']]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45397,"title":"Assess the scatter of wind turbines in a field","description":"The renewable energy industry is on the rise in many countries--- and one of the key players is wind energy. \r\n\r\nIt is believed that the layout of a wind farm can influence its ability to harness energy. One assumption is that the more scattered the turbines are in the field, the higher the energy yield. Hence, we need to determine how many turbines in a wind farm are in a good position.\r\n\r\nYou are given the positions of 8 wind turbines in a field rendered as an 8-by-8 grid of cells. For this problem, a wind turbine is defined to be in a _good position_ if there are no other turbines in its immediate vicinity of adjacent cells in the grid. Otherwise, it is in a _bad position_. An illustration of these two cases is further explained in the figure below.\r\n\r\nAccess the figure here: \u003chttps://drive.google.com/open?id=19M-3AZ0aqmJs2vKL-EKoJ0z59RvURukg\u003e\r\n\r\nWrite a function that accepts a MATLAB variable, POS. You are ensured that POS is always a row vector of 8 elements, and each element satisfies 1 \u003c= POS(i) \u003c= 8. This vector represents the wind farm layout: POS(i) is the row position of the sole wind turbine in column _i_. Given the layout, output the number of wind turbines in _good position_.\r\n\r\nAs seen in the examples from the figure above, we have 4 turbines in _good position_ for POS = [8 1 6 3 6 7 3 4]; 6 turbines for POS = [3 1 5 2 8 7 4 6]; and, 2 turbines for POS = [4 5 7 7 3 2 6 8].","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: 835.2px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 417.6px; transform-origin: 407px 417.6px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eThe renewable energy industry is on the rise in many countries--- and one of the key players is wind energy.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIt is believed that the layout of a wind farm can influence its ability to harness energy. One assumption is that the more scattered the turbines are in the field, the higher the energy yield. Hence, we need to determine how many turbines in a wind farm are in a good position.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYou are given the positions of 8 wind turbines in a field rendered as an 8-by-8 grid of cells. For this problem, a wind turbine is defined to be in a\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003egood position\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e if there are no other turbines in its immediate vicinity of adjacent cells in the grid. Otherwise, it is in a\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ebad position\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. An illustration of these two cases is further explained in the figure below.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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: 481px; 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 240.5px; text-align: left; transform-origin: 384px 240.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"593\" height=\"481\" style=\"vertical-align: middle;width: 593px;height: 481px\" 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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that accepts a MATLAB variable, POS. You are ensured that POS is always a row vector of 8 elements, and each element satisfies 1 \u0026lt;= POS(i) \u0026lt;= 8. This vector represents the wind farm layout: POS(i) is the row position of the sole wind turbine in column \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Given the layout, output the number of wind turbines in\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003egood position\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; 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=\"\"\u003eAs seen in the examples from the figure above, we have 4 turbines in \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003egood position\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e for POS = [8 1 6 3 6 7 3 4]; 6 turbines for POS = [3 1 5 2 8 7 4 6]; and, 2 turbines for POS = [4 5 7 7 3 2 6 8].\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = assess_windfarm(POS)\r\n y = POS;\r\nend","test_suite":"%%\r\nassert(isequal(assess_windfarm([5 6 6 6 6 3 5 1]),3))\r\n%%\r\nassert(isequal(assess_windfarm([1 8 3 5 8 2 2 3]),5))\r\n%%\r\nassert(isequal(assess_windfarm([8 4 3 2 4 3 2 4]),2))\r\n%%\r\nassert(isequal(assess_windfarm([1 5 1 5 7 2 4 5]),6))\r\n%%\r\nassert(isequal(assess_windfarm([1 4 6 2 7 8 7 5]),5))\r\n%%\r\nassert(isequal(assess_windfarm([3 6 2 8 5 5 2 1]),4))\r\n%%\r\nassert(isequal(assess_windfarm([3 7 8 6 6 2 5 7]),4))\r\n%%\r\nassert(isequal(assess_windfarm([4 8 1 3 5 1 6 5]),6))\r\n%%\r\nassert(isequal(assess_windfarm([5 7 7 7 3 4 7 1]),3))\r\n%%\r\nassert(isequal(assess_windfarm([1 3 5 8 6 3 3 7]),6))\r\n%%\r\nassert(isequal(assess_windfarm([8 6 3 1 7 5 8 1]),8))\r\n%%\r\nassert(isequal(assess_windfarm([5 3 7 2 4 4 7 6]),4))\r\n%%\r\nassert(isequal(assess_windfarm([2 3 2 6 5 2 2 4]),1))\r\n%%\r\nassert(isequal(assess_windfarm([8 5 1 1 7 4 4 7]),4))\r\n%%\r\nassert(isequal(assess_windfarm([3 5 6 7 3 6 8 1]),5))\r\n%%\r\nassert(isequal(assess_windfarm([5 4 3 3 7 8 2 7]),2))\r\n%%\r\nassert(isequal(assess_windfarm([2 8 7 4 6 4 7 3]),6))\r\n%%\r\nassert(isequal(assess_windfarm([1 5 8 2 4 6 1 8]),8))\r\n%%\r\nassert(isequal(assess_windfarm([7 5 2 4 5 8 7 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([6 4 8 4 2 4 6 5]),6))\r\n%%\r\nassert(isequal(assess_windfarm([7 8 8 5 8 1 1 3]),3))\r\n%%\r\nassert(isequal(assess_windfarm([5 5 8 5 4 5 6 1]),2))\r\n%%\r\nassert(isequal(assess_windfarm([7 2 4 3 3 6 2 3]),3))\r\n%%\r\nassert(isequal(assess_windfarm([2 2 3 8 4 4 2 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([4 7 5 4 8 7 4 7]),4))\r\n%%\r\nassert(isequal(assess_windfarm([8 4 3 5 8 6 4 6]),6))\r\n%%\r\nassert(isequal(assess_windfarm([8 5 5 3 1 2 1 4]),3))\r\n%%\r\nassert(isequal(assess_windfarm([1 8 6 1 1 2 4 2]),5))\r\n%%\r\nassert(isequal(assess_windfarm([1 6 3 7 4 4 1 1]),4))\r\n%%\r\nassert(isequal(assess_windfarm([1 5 2 7 7 8 4 2]),5))\r\n%%\r\nassert(isequal(assess_windfarm([2 5 7 3 4 6 8 2]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 5 4 8 4 2 6 5]),3))\r\n%%\r\nassert(isequal(assess_windfarm([3 7 8 8 2 2 1 5]),2))\r\n%%\r\nassert(isequal(assess_windfarm([1 4 8 5 3 2 4 8]),6))\r\n%%\r\nassert(isequal(assess_windfarm([1 4 7 1 6 8 3 2]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 8 5 8 2 7 3 4]),6))\r\n%%\r\nassert(isequal(assess_windfarm([2 7 5 6 7 1 8 4]),5))\r\n%%\r\nassert(isequal(assess_windfarm([7 6 7 2 4 5 8 7]),1))\r\n%%\r\nassert(isequal(assess_windfarm([8 5 5 7 1 8 4 1]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 2 2 5 3 3 4 4]),2))\r\n%%\r\nassert(isequal(assess_windfarm([4 5 2 2 1 3 7 2]),3))\r\n%%\r\nassert(isequal(assess_windfarm([6 6 7 7 3 3 5 3]),2))\r\n%%\r\nassert(isequal(assess_windfarm([7 7 5 3 6 2 4 4]),4))\r\n%%\r\nassert(isequal(assess_windfarm([5 8 7 8 2 5 1 7]),5))\r\n%%\r\nassert(isequal(assess_windfarm([5 7 8 8 4 1 5 2]),5))\r\n%%\r\nassert(isequal(assess_windfarm([2 3 1 6 6 5 3 7]),3))\r\n%%\r\nassert(isequal(assess_windfarm([5 8 8 3 5 3 5 7]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 2 7 1 4 6 7 3]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 8 2 2 2 3 3 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([1 5 2 7 2 5 8 3]),8))\r\n%%\r\nassert(isequal(assess_windfarm([1 2 4 3 2 8 6 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([4 8 1 5 7 2 8 7]),6))\r\n%%\r\nassert(isequal(assess_windfarm([7 5 7 3 2 3 5 7]),5))\r\n%%\r\nassert(isequal(assess_windfarm([3 4 7 5 8 2 7 6]),4))\r\n%%\r\nassert(isequal(assess_windfarm([2 4 4 5 7 1 7 7]),3))\r\n%%\r\nassert(isequal(assess_windfarm([3 4 5 6 6 7 4 4]),0))\r\n%%\r\nassert(isequal(assess_windfarm([8 5 7 3 5 5 8 1]),6))\r\n%%\r\nassert(isequal(assess_windfarm([5 5 1 8 8 4 7 2]),4))\r\n%%\r\nassert(isequal(assess_windfarm([5 3 4 7 2 3 4 3]),2))\r\n%%\r\nassert(isequal(assess_windfarm([7 8 2 2 6 4 8 8]),2))\r\n%%\r\nassert(isequal(assess_windfarm([6 7 4 6 8 5 8 6]),6))\r\n%%\r\nassert(isequal(assess_windfarm([4 6 8 2 4 8 4 6]),8))\r\n%%\r\nassert(isequal(assess_windfarm([8 8 6 1 1 5 5 8]),2))\r\n%%\r\nassert(isequal(assess_windfarm([6 6 5 3 8 5 1 6]),5))\r\n%%\r\nassert(isequal(assess_windfarm([5 1 8 3 2 1 3 2]),3))\r\n%%\r\nassert(isequal(assess_windfarm([6 1 3 3 8 4 7 5]),6))\r\n%%\r\nassert(isequal(assess_windfarm([7 1 8 7 1 4 3 6]),4))\r\n%%\r\nassert(isequal(assess_windfarm([2 5 5 5 4 1 5 4]),2))\r\n%%\r\nassert(isequal(assess_windfarm([1 4 4 5 7 6 7 1]),2))\r\n%%\r\nassert(isequal(assess_windfarm([2 4 8 7 4 3 1 6]),4))\r\n%%\r\nassert(isequal(assess_windfarm([5 2 4 2 7 3 8 1]),8))\r\n%%\r\nassert(isequal(assess_windfarm([7 6 5 6 6 1 8 1]),3))\r\n%%\r\nassert(isequal(assess_windfarm([3 2 8 1 5 6 6 7]),2))\r\n%%\r\nassert(isequal(assess_windfarm([1 7 5 6 2 5 6 8]),4))\r\n%%\r\nassert(isequal(assess_windfarm([4 1 1 6 7 6 3 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([5 8 1 2 7 8 7 3]),3))\r\n%%\r\nassert(isequal(assess_windfarm([2 7 7 3 2 3 7 7]),1))\r\n%%\r\nassert(isequal(assess_windfarm([5 5 3 6 7 4 4 4]),1))\r\n%%\r\nassert(isequal(assess_windfarm([3 6 8 8 6 3 6 2]),6))\r\n%%\r\nassert(isequal(assess_windfarm([1 2 2 5 1 7 6 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([4 6 8 5 3 8 1 3]),8))\r\n%%\r\nassert(isequal(assess_windfarm([8 3 3 1 8 2 3 8]),4))\r\n%%\r\nassert(isequal(assess_windfarm([4 5 5 6 1 5 1 7]),4))\r\n%%\r\nassert(isequal(assess_windfarm([3 7 2 5 8 1 1 1]),5))\r\n%%\r\nassert(isequal(assess_windfarm([6 5 1 7 5 1 1 2]),3))\r\n%%\r\nassert(isequal(assess_windfarm([7 1 2 2 1 7 6 6]),1))\r\n%%\r\nassert(isequal(assess_windfarm([6 5 3 6 1 2 1 8]),3))\r\n%%\r\nassert(isequal(assess_windfarm([8 1 4 6 3 7 5 4]),6))\r\n%%\r\nassert(isequal(assess_windfarm([3 7 8 6 4 8 3 5]),6))\r\n%%\r\nassert(isequal(assess_windfarm([8 3 3 8 1 3 5 2]),6))\r\n%%\r\nassert(isequal(assess_windfarm([6 7 5 6 7 2 5 1]),3))\r\n%%\r\nassert(isequal(assess_windfarm([5 7 8 4 3 6 8 5]),4))\r\n%%\r\nassert(isequal(assess_windfarm([8 2 1 3 4 4 3 6]),2))\r\n%%\r\nassert(isequal(assess_windfarm([1 4 3 3 1 5 3 2]),3))\r\n%%\r\nassert(isequal(assess_windfarm([1 3 5 7 1 8 2 7]),8))\r\n%%\r\nassert(isequal(assess_windfarm([7 8 2 5 4 2 5 5]),2))\r\n%%\r\nassert(isequal(assess_windfarm([2 5 8 4 6 4 1 3]),8))\r\n%%\r\nassert(isequal(assess_windfarm([7 3 1 5 3 6 5 7]),6))\r\n%%\r\nassert(isequal(assess_windfarm([7 2 1 7 6 1 8 5]),4))\r\n%%\r\nassert(isequal(assess_windfarm([5 5 7 7 4 1 6 3]),4))\r\n%%\r\nassert(isequal(assess_windfarm([1 1 1 1 1 1 1 1]),0))\r\n%%\r\nassert(isequal(assess_windfarm([1 8 1 3 1 5 1 8]),8))\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":1,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":65,"test_suite_updated_at":"2020-03-29T00:40:23.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-28T23:55:35.000Z","updated_at":"2026-03-31T14:31:20.000Z","published_at":"2020-03-29T00:40:23.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe renewable energy industry is on the rise in many countries--- and one of the key players is wind energy.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIt is believed that the layout of a wind farm can influence its ability to harness energy. One assumption is that the more scattered the turbines are in the field, the higher the energy yield. Hence, we need to determine how many turbines in a wind farm are in a good position.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are given the positions of 8 wind turbines in a field rendered as an 8-by-8 grid of cells. For this problem, a wind turbine is defined to be in a\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\u003egood position\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e if there are no other turbines in its immediate vicinity of adjacent cells in the grid. Otherwise, it is in a\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\u003ebad position\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. An illustration of these two cases is further explained in the figure below.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"481\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"593\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"middle\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts a MATLAB variable, POS. You are ensured that POS is always a row vector of 8 elements, and each element satisfies 1 \u0026lt;= POS(i) \u0026lt;= 8. This vector represents the wind farm layout: POS(i) is the row position of the sole wind turbine in column \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Given the layout, output the number of wind turbines in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003egood position\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\u003eAs seen in the examples from the figure above, we have 4 turbines in \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003egood position\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e for POS = [8 1 6 3 6 7 3 4]; 6 turbines for POS = [3 1 5 2 8 7 4 6]; and, 2 turbines for POS = [4 5 7 7 3 2 6 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a tubesheet for shell-and-tube heat exchangers","description":"\u003c\u003chttps://3.bp.blogspot.com/-kLSbhcCoT2I/WJIh-QVGLGI/AAAAAAAADEs/svvMzBqn4fUfI1rTCCH7Uw-QuDvxx0PxACLcB/s1600/Screenshot_669.jpg\u003e\u003e\r\n\r\nA tubesheet is a metal plate used to hold multiple tubes in place in a shell-and-tube heat exchanger. In any industrial plant, heat exchangers are used to transfer heat from one stream to another, such as for cooling or heating.\r\n\r\nIn this problem, you are given the diameter D of a metal plate which is a perfect circle. We need to punch holes in this plate where the tubes can fit in. This is done by placing the plate on a 2-D coordinate system where the center of the circle lies in the origin. As seen in the figure below, the coordinate system can be imagined as being made of square cells. _A hole can be punched in a square cell if and only if it lies completely inside the circular metal plate_. Can you help count the number of holes we can punch, given the plate's diameter?\r\n\r\nAccess the figure here: \u003chttps://drive.google.com/open?id=16fQsnGyJz-PQLF9Hw7koIKKscPu6whFM\u003e\r\n\r\nWrite a function that accepts a floating-point value, D. Output the maximum number of holes that can be punched on a plate of diameter D. You are ensured that 1 \u003c= D \u003c= 50.\r\n\r\nIn the examples above, we can see that we can punch 16 holes when D = 6, and 60 holes when D = 10.","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: 1096.51px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 548.25px; transform-origin: 407px 548.256px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 516.713px; 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 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4807GM9rbXiEy2XkP6bs1GLMiFoxyoHy5/lVzIHel3cV8pHFzhK6Pp5YGnKNjnUd9LuNwUm2Y/Ov9z3Feu/DJ1lg1B0YMreXgj8a86urYTIWAG7+IY612/wAIIPs8esRgnbvjKg9utGZclbDOrE46DnQn7KWx6WOtVNWdI9MlkchUXliewq5jmqeroJNMljb7rfKR9a+eyn/f6XqjbGfwJehy+nXNtdwLNZvGLZlIRyNqDnGfpU58O63qOpaVdWdm5VEzLJwqjIGQM1r+D9NOn6Pdw2CeZLAIo4mZQxwX+b+temgYH4V+j43EyTdPofO0aa+I4rTAVbUARyL2T+lM1MFrWZR94xkAD6VZt1Zbi+wVwbqTPFVdVYpazMHYHy+x9q/Oa8eXEOKPoaTujzu60q4GjolwEtAbuR91y3ljbtX1qTRrSwt7HVh9s+2q0KCQQxYXG8cAt1/Ks7UcnRYiSSftkvJ/3Uqfw3zpus8/wQj/AMfFbvRM1tdWZT0M2GneLtNh03Q4Y4Z5sPcTStLIp2k8dFX8q0/CGl+K/F/2xpLoR6cjbIpQvlo3XgKuBxVfQoJpNagdInZVLEsEJA+U96900uG3sNPgtreHYiIuERMDoK9PC2xCamjjxF6TTicbP4JspbzzL2SZnbHyIcDAGP6Vei0TT7CJYYrZPLTJAf5uT/8AqrcuZJHnJVFUKDyTnpVZ4kfLPLyFA4OO9TKjGm7QQlUlJXkRuUigXaiRgYwMYxVUxteu6xtuIPLDtV65TbD+4QZ3DBqDTpSsBRim4Mfu1Ljq7saemg2K2MTI42pnJ9TSymMMWll3AJ370PC88kZ+9hfyolgT5kkcKcDj8am2iHcaJEChY14wKkWaWR2C4x9KQw4XMULk+rDaPzNTxWdwOHkjRSeifMfzNWotslyRGI9wXOSd35U15YRIoZgTu7cn9KuR2EBG5laQlj/rG4/Kkm2wtGFjVSCeFFDg1AlS1KSu6YC2789CflFTRrfmMFJIAvYFeadAH3fMqlvXNWo2URKN3YU2tdx3OFIz9aicVbMJFQyIRyRXac5VK5phWpmGO1Nx60wGdqpWa/vrv/ruf5CtALxVS0X/AEm84x+9/wDZRSGTYp6LQRT0XmgCRF4p22nKMin7eKAItuRSYqXbik20CIiOPamkZqYrxUbrigCs5qMnmp2Wo2SmA0CpF4qPGKX+E/Si12BOrKwGGBHsakFcgIWQnbkfSp0muowSLl0UDks/Ciun6q3szH2yR1OQFJYgKOpPQV5r4r8bG8d7DTpGS1Xh5BwZf/rUuq+Kpr+4gs4pma2Eq72PBk57+1dBo/w5tNW1lry+zHZg7/KHHm4PP4V00qMaMXOe5jOo6kuWJqfCfTnTQrjUHVkaeXYsh4ygHb2z/KmeKfF0jqvh7QfKM6ptuLiMYSId8VD4s8Vq0r6B4cby0U4mnT7sQxjatcxa28drEY4+e7Mere5rlnLmk5M6YQ0siOKCOwt3SHPnSf66cnLSVW34ar0wyprOkIiBdyFUdSa6aWpjUVi5FLgfN0rM1PxASDb2OSx6v/hWVcajPqMn2a1UrF6njdW3p2giKAySfeI5LV1RpX1ZzyqW0RzqJLJCUOXdn6AVsaR4bS3b7TeAGT+GPqF/+vWpbWkFmMqoL9d3+FTGXdgCs5O+hSRYEuxh5Z2kc5FbFiqXlzFOFCTo+ZAP4h6isNEPHBLHoB1NdboWjTQOtxdEKzghIvTisKkkjaCbM2y0qa/ZnOY7fP3u7fStlobfTrU7FCIoye5atSWGZLfMKKzAfICcCuO1lteWONV06SWeT5fk+4v4+lcsuab1NlyoZq2uWsVkzOfkkTATHzNntisqy0K+1wJLqDPbWI+7bj70i/7XpWxo3hZbWRb3UmFxe9V/uR+yiuiC8+1Q5W0RSXcgtrSG0gSGCNY41GAAMVLO6WqBpjtGOB3NVLm+KyCGD536E9hVa3t5buUu5LN6miNO+rE5WJDNNevsXMcR7DvWraWCQoCy4FLDDDaAZwz08zNKTXRGFjJyJpLnA8uIbRUtvb28Y8/UJCE6iJPvN/hVQSCL7g3SVattOknbzJsn61XMkTy3JJ7661JRBCgtrJeBHHwP/r1e07RiwyMIB96Rj0/GpZHsNIhEl43z4+WFPvt9fSuRvPFN/rUt1AQtvZwy+WkMfQ8DlvXrWUprqaqJ0WpeJrHSEaHSUW4uujTv9xfp61xF3c3Wo3bXF3K00rdWY05huY8cinxx/NWMpNmiSRCtuSQByTW5pVtFbtA8gRYzkOw/iqise1gcZxWghcWqrtx85yo/4DRLDqrQcmEajjUSOtjChR5QG3tWffjEr55+X+laEWTFHjj5RVC9IEh28/8A6q+MkrNo9enqzPbluPX+oqEj94vc/wD1jUxOeTwP/wBVRtxIoHsM/wDfVJvQ2RG+TM+48ZP8xUC3+booIW4kxkH/AG2FTMAJiSeueP8Avmq6oxuWONqebzj/AK6H/OK7ME9Wc+J2Q57+3VQGYg7ckY4z5eev4VZMiPCxLrt+bv8A7I7VmNEqqmwbm2Dkj/pk3apJYAyMZjzh+nJx5f6V6NzkNBzl5NvX5/8A2WiVVEjbjkjd/wChisqUTeZKsGUBEvIPOfk79qZcXklvLN+9MmGkIT+HHmL39qLgbcwZopAMA/vOnrkd6jmVdkuBu4f6dqzrzULlLOZyseFFxlnOxOHGP61JNqqRpO3lu20Skn6bcjH4076CNAIQ0jNkgLL/ACFZ+mvm+tSkWxAcr6kbDxVtLlC0pYsH2SgB+pGB+lVLDzhf2zSldxP3OynY1fQZR/CrehwYv44EtoS9tF5alFHkcL1x7mkeFI4Bu5ZYnG1T23+tLYO09qp2hVHkkAcADFSt5awjI34ib6Y314tf+Izth8IK8xugqcJ5kYYL3Xb3qvvSKyl80BmEDFhGf9v1q3h3lP8AcEozjgY296rlIks33fvCIDlRwMb/AFrBFG3pUkc32hCuBHKAcdDkd61o2QyImQVIPA6Vl6TbvMty+9UUTcgL1wK07aFYdkUfzc/xGumk7pGciSSNgjgjHQZHANQJcraFtw6thQB1NX7mN4zsZ8gHkZrMuIBuG3/npuH+Fby02IiyoNRub0xBY1wxcbj1X3zVlHaIi2id3Vk+Zj3P+c1UlYW8CLDICWVz7irmkwEtFK4ySg7ck1jd3sVoX7hdojXAAVMAfjSbEP3gGweN/wDjTtR3hVZlQDnqfeqglVZJGZCCOmTnFaOyeolqtC0UDKrKmBv3ZPIH9anD5ClvXpWc0qjdvdIwzcFzjP50973cjC3jZzt4Z/kX/E1KrxWwODZpJc+XtCgnHT2qnLqCbyoYySf3I/mI+p6CqEkiHAubkuhGFiTpn6CmpdSukf2W22jfs59PpTvUl5ILRRZaa4kOSUgQj72dz/meBUDzWtqnn7jNPH8rEHLE/X8Kc2lteuyzO7qx3KD0H0rQttPsYcSS7AG5Ze+acKSuJyM1bm+uHkhtoRF83D4z9a1tMuBLqZtJASYot4JXG7LVbWSJAgiQK27rj+tZtrewjxhd+Zcoq/Z8Kpf3FdUI8r1ZnJton8QajBpML3JWSaZtu2FTjJGSOvTNeX65c6lr66Zq159ktp4dRdWjkf5FRSu1QD94nmu28YXD6pby2enXUTS4BR42/wBW2GGSfqRVfTdK0y0jsW1C2F3MheYHG4JLkc//AK63xE6VOjGTlaV/wJpQqSm9NDqdJEcmnWjrwjJndnk/hViX7NGjyM2GR8l3OCK56XxA623lwhIURsKIvmNUXa6uJ5j9wleHPLHp2ryp5hBe7BczO2GCk9Zux0dxqOnrKsxRZpcEKxHQZ96yZ9dmuVxGWwHxiMbf1p9voMsxhmm+6vLPKcfpVkJY2alIU+0PnO5x8oNRGGLxD191FXw9LbVlGOyu7p3yRFDt5J4zx/eqaK2sbONQiedIDknouaWWaWZh5jZA6DsKjyBXXSwFKGstWYzxU5aLREslxI4ILbUP8CcCq5YdB2oJLNikwF712pJaI5rt7jeSKUJ3pDyeOlHQdaAEOAaaSPSnEZ9KYwz9KTGMzhs54ppOD7U7AFNIJJOOKQxRggcnNMzycCnBcCmhCzUrjE3Y6UBj6UrIRSYpMZIrAdAacX+UnrUak80uD3PtSAFYgFjwfrU8bHYSTg1CRlCOcVLCpI+7n60XAuRMS3DGrhzGoym446gVRtjsm2kdRgcVYcTQMVQHGO3akIjZ8jpg1Xc8VNK+TzjNUzI0gyqr1pjHq52+tRStyNvFG88cGonkLyf7I9utO4CTpDc3CTXlrDcyRghJHX50yMcOOehNcjafDm2s9Ze70zU3EMtvPCbe6HzJvQgYcfe59cV15OBTCcjnpScVJNDueZ6boOn6BqdxbSw391eCznWQXS+RGy7eQFHzHPrmn6NqbrHqSWNvBpyJZvIq2cew5BHVvvHv3r0l2EsfkzxpcQhSuyQdARg4PVfwrno/B9lbyXs1lcTiOa2eL7KVBfn+42QD071xV8PLWSdztoVqVrSWpzHh15JrDxE0rs7tY5LMck/MKtaRZSXOl6VNG+I4J5XlGcZHP581JpCW6WWu2lrZT27x2Z8x7lsyN8w+XbwFq7oej66dEsnt7by7VXkkuTKNnyZPTPWuzJbRxEucxzN3p+73L81lGZPt+5t62bQhccYznNcFe/MhwOuce9drNazG++2Z/cLYsn3v48+n0rlbaxe81K2tXQr5543cZFfQY7+G7Hk4JpT1MBUcnsM1dg0q7uMbIWx6t8or0qx8IWcBBYgEf3Fx+tbkGnWdvjy4Fz/ePJr472TZ9NLGwS0PM9O8HaheShERsn+6MD/vo13HhrwpL4ba5eUx/wCkBflVt23Ge/410MbYZSOCvQ1aunWWNHX8anER5aEkcrxDqVEUT2rP1tXfSLhYyQ5X5COua0WHNZ+tOYtJmkAyV5x615OVL/bqfqi8V/Al6FXwRd3Gj+GWinDyX8sih85dh78detekWIK2MAYMG2DOeucV5j4R1a3uvDE1xe3MNmzTxTFWc/cV8/U9K27v4n6SbxbHT4rie4cqFdo9icnGcnk/lX3WMi+eTWx4dF6JFq0lWV75kzgXco59jUGolDDKC4HyHnr2qPR13RXu8+YReSjJ/wB6nakf9Gm/65n+VfC4iXNXcj3KKsjzu9Gmw6TCJXnuR9plPyDy8thc9f8ACptJvov7F1h7SxgtjGkWGyZC3z993H6Vl6sD/Y9uF6tdT4/8crR8PaddtoerJJA8Yl8kKZRsB+b1NaP4TZCaJqN9e69YwT3kzIZD8m7C/dPYcV7naZ8sAY8rHynnNeKeG9Pih8UWIa9tnlEhKxRMX3HB4JHA/OvZoWErcsC46qGLBa9bLNpHDjX7yRnmJhI+T8u5up96YUTJVm54PH1qdYkJyQWJ5p3zo58tMdKc02zNPQpTthVRVcMzfKG4zUNtZLar5jSqM/wj61bvYHZFdmG4dD6U1okIWNBuK4LHtWEt2aJ6FAThpfKWSUkKOhwDWna25gbIX5mwPp3p0KWlqA+ELkDJ6npSSX/707FPzfh2pxUYWcmKTctEizKmQC7cbxxT0dR05FZsl0zx43qMHPy/NioRcOUH3myOjNgfkKv22rsL2bND7THGgDOoPPfnrVO9uAdjhXIXOc/KCKhMnlfxBV9elZuq6vp1tZSS3F3EVVtud+fm9KylOUlYuNNLc1Y7romUTHQRjNR/atuBvk4H96uVtPG2mXWpWtjZ+bPNLKEyqYC571i3HjjWIriSOLwzqMyKxCyLA+G560crbsXyo7WS3wTxVd4M1sPCDVaSHmvTscNzHaDHaozBzWo0XJGKiMXNKwygYKo2sX+l3o9JF/8AQRW4YyB61n2UJN/qHHG9Mf8AfIosA3yiTSrEav8Ake1OWDJpDuVFQinhM/WrywcYpwt+OlKwGdsxSFc1faAAVE0FAFIjFMYVcMPJqFoSM00KxQfg1Ex596tSxnJqqyknpTQDC+KBJ1prqfSs/U7p7KwluF2BlHG84FUtwY2XZHE0kjBEA5ZjgCuD1/xL9t3WtqStoD8zd5D/AIVR8Q63qV/FFFKw8hVzmMbQ59SK3fAHgk6zMupasuzT4/nSJuDNj/2WvVlNQjdnDyuT0LfgfwVNqzR6tfoy2Ebgomdpl5/QVveLfG0l1M+jaCwCqPLnuh0A/urVPxP4ue+RtB0STy7OP5J7peMj+4lYdpDFbQrHEu1R+tcNSo5u7OqnTSJLaGO0hEUf/AiepPrUoeoXbHNU7rUYbGLfKeT91R1apSbNL2NC5njhgMsrbVFQ6hYpcaXE4JIkUP8AnXN+dc6tPl8+X2XsPpXYBVSwt4W/hjAx3NenhYRgm5nnYmbk0olaysrdLCzmcbPLh2McdSGP+NPuL0ygIBtjXoP8ajcEgKT8qj5R2FVX4PtTnVvotgjTtqycMWJqzbQS3E6wW6GSVugHan6No1zq8g8obIQfnlPQfT1NdRd2Fp4b09ru3aYSZA5YHdXHUrJaI6IU76ss6VoUenf6RcOstyO/8KfT/GrKa1bvdMkTb0hDtI4PTaOa4u58SzfZTFK58knKAHLMT/D71q+G9Jv5JJrrUkEMNxGyLb/xYPdvwrl85G/SyF0jxFr2r3jJYxxNZKfmuJUwPovrXT+dexgfPAx/3CKlit4raFYoY1jjUfKqjAFUb2/ht8qvzyegqOaTeg0lYW4upFQvLDHgf3ZMfzFZx1KO6Qxok8e7joDUaQXOpShn+77dBWjHBBZrhfmf1rWMe5DZVsbU7VSVBEUkPU5yMVbBW3BSMY96hkZ5WZ0ySPvD+tTRbJgqc+b+hFarQjcQc8ngVYgglnIWJTg96t2umpgSTuFHvxVxruKJNkAwvr3NZyqWKURkNnBZrukIdxz7CoLrXfs7L5Dokh4WRv8A2UVFK7SD5jkelc9rely6osAhmWMwzCQ7v4gO1YOoaKJclJkdndyzt95j1NZVhHia/wAf8/B/kK1tvaqGnL++1Af9PJ/9BWpvcrQsRJudQwyM1RRne9aONygVCxDHG7ntWxHHiRaxdiNqQEiPccfLs4MZ55PtXpYaMXRbf9aHPVbUzUCle+339KvvbTW9rG0jNHvbejPxxxzj8Kp4wRxn29a6/wARyxPY2MKwmSR+UXI5Hpn61zxf7mUfM0t+8TJ4+Yk3HjaKoX/+sGB1xU8d7bBVBnTd0wTiq96+9vlYHp05r4mtTmpNtHsUpJsz+uCTzj/CmNkyAKOMjP5mnDGPU/8A1hTXB8xSxAG4fzNYanTYiO1ZT36/ToKTY5uSznHz8f8AfdP6zAIvPP8AIVZFnP5xPkyN8+Rx/tZrvwMXds5cU1ojMKnYojHJQc9/uNj6VIyKIz/EfnPH+5UssbjCuuwADIP+6aUqAhwAT83J/wByvRaOUp3MTyGQHAQeYPRf4f1qtdKgll2oJGLSH5+F5kXPFaFwm5nLtj72P/HcVDMT58hiQg5c9Mn74zU2ApavB5tjcmeXbmK5Us/UDcMcU+bKxzm3Qh8T4bq2fk6VNfxxixnEzZ/dzbgOTgsKWTfJFOkI2/637vXO5e9NboBYbYo07MQGKzkDOSc7f8KbpqiO/hxL5ku07ifZG5p9pIreewkXKrc8ryANy/rUmlWkrKlzbWzLawxN++YcH5GFfT4CnClQqO/Q83ENyqRKkRuLiOBlO1Ee2KgHaqjBziopbxrezPzfaHW1ds4wh/e/nVi3jlkVXmbavmQMu/p9znaKguDFFY/LGJCtt96T7pHmf3frXzuI+NnfD4Syt9dTXCjyt8cdwFLDgKPLzULaraxWcjPmXba722fcxvxwfrTpIZpblHc/JHckgscADy+1ZzR28OnyoF+0stko54Rl8z86xVyzvfD1wl1DdMCpEc5jOBjsK0ZHxKu3kgelY/hWTfb35kC4W6ZRgYGMCtiV+eF6DvXXS+FGMty0myaTMz/OevYU50QgeUNu3tnr71QYZY5JJB7UG4McOOiZ+ZicAD61s6ijuSoPoZMgZ7mNI14AdQ3euhs4jHCAevGcVjJMvnKYE81sldwOFX8e9aEFndXO37TOdrA/JGu0f41hTm2/dRco9yPWLuzkQQSOPMTkxr8zfpWbJe3DQjyf9H3YwZiGb6DsK2dVtEhhtdkXUhdo4zVFNJgYHzLhDKDuCrzjnpRKnKUveYKSS0MiKaCOZJQrTzSvt82Rvu/5zV62NxeRxu/9/n+EY4qV5dLsWiDvG5aTYqpyQ5rUhKOvnW0cWB91WfjrWsacVsS5tlewsZEhVSyRqpY56Zyeh9elLcX9pYLGkMZuXLYwOimqc+tQ27xLcahbb9+3EfQscfIPWqtpZSyXMsFhbyxI7n/SpPujgZIzyfTiqcu2pKRzet+MNfura/htIY9OjtbxLdZ7hgiMnzbmBPXoOma6fw9bJM13NHNLct9pcYdcKuD/AAjqQM9faoR4et3XZrlz/asX2kzxQyJ/qPRc9T+NaQ1WO3jxAiKytj92ASetZOtCm71H/WhtGlKa91F6S3nlt286VbZFfb5hPOPp0qhe2GmRW92Y42uJ3hAM7+3pVS4ubiUzMxCDfwXOf0p0cDzzyhFklcx4GOnSuSpmDlpTRvHCKKvNla4kZxJEiKCW3+WvAyferE1s9xLabBIxIOQg9xW7aeHzIFe6OwA52LW3HDBaRYRVRF71dPAVa3vVXYc8ZCFlTWxzlj4cmKkyFYAWzheWrU22Gkliqh5m692P1qK81ZmzHbcL3f8AwrKY9WJyTXqUMJSpbI4alepU+Jlm7vZrvIdsJ1CDp/8AXqrkA1GSzE47Ui7jjNdJiKzNkgcUoQDmndvlBoxigBpGaTaByadyPemFiaAEdseuKaB2pc57ZozilcoTFAHOKWMNKxWJS7eijNS/ZnX/AFzxw/77c/kKAK7DPA60gGByOam/0aP7zyTH/ZGwU0XACkJbxr7nLGlYZCRk470+KIt0FD5lA3BQcdhim2sqiYRyn5Q3TPLcZqbBcc8TEcDIqIxyccKPxqy8zSuWPc/lTZMGZuKAQxLRzzuXH1p4s3GcFP8AvqpUbCkU9SQ3qKBkP2GXsFP0anx200YyyNVteR2qxEOR0oshXG20JLAt1HNSzJnowzVyzTzC2cZ96l+xRuCZkUN228UrBc5uRZQ54qGQDb0w1bc2moSWhlZfY81l3NrImcgMKVgM8/MfcVGSTnvTwMyH5aV4T9KCiAsT9KXPFNdCp9aaxpgP3UjYPP8AKkJ6YpCc0DLVjdR2t+LuW3SZ9nl7iPm25zitPVDFfR3mpW9yhRdPeHycfMDnOawN/GDzSMxToSM9feqpy5JXInHnVjAS7LCW1ZwMWvmBNn3uoJ3dqzPDl0z6zYW00YkbzFWKQ9Y1APyj2NdRNFE1nJFDGI38shVHf6elc5oklnFrlk84+y3EEioykfK/B3M3oeleria8KtK8Tjo03CTTPQHTy2K9hRmmLqthqLtFaTiSWPJ+71HfFIW2nmvnWj0E7kobBFTqcg+nWqgkXp3qeB9xaubFfwma0n76Fk61nayyJpcjOQE/iz0xWnJzWXrcYl0maMnhxtzXmZV/v1P1R0Yr/d5ejOXsjazQqbXY0BQqm04XrVOVhD4m0tkRSJURSCMgbmFW9N0yG000WEz74lhKOfu5Gf0qtcpBH4q0SJnKRsieVgZ3cjaK/S8brSlfax83h2udWO90fKRXvcm9mPy/71O1AjyJtyAjYeCfamaCcwX3tfT/APodS6ghaGZQCSUOMfSvy6p/EZ9PTOAu9UurXTLV7IR2zPLN/q0BI5Hds1BpjzXWj6tJcSySyNPb/NI249TVq+0yYadZJM0dv80rHz32Yy3/ANap9OtbS20m8H2wTq9xEGMMZ4xnjLYzWt7I16Gb4OjI8W2RJwA5yc4x8pr3VDJtLeXgbcZLZJryHwsbFvElslrZyJJlj5ss2T07AcV6jN5yWU07y7IwvSUcj9a9fLn7kmcGMXvobHchMD5RxSSXG2fOGIyDzwK5u68VaLp8rpc6pCjIfmVOSD6cVj6z8RdJ0y1trpYpriO5jLxnOMgMV/nUc0tB8iOyvZswlsrg+nzVS+1PE6xMm4cYwcVwcHxEvdc0nUJ9MsFR7d4kiX7xYuT/AIVbsrTxbdarbXOoXsUVokiSOrp5e8d1APJ/Ks5wbuzSPKlqdadVhjJV3jgC+pArN1PxVo2m+W9zeKd671287hXM/wDCGQX07S3WrXFwGJOy3QkdfU8VqXnge2vIrdF0iWfyIkijNxOUCryecfWovG61G2l0IG+I2mTWeoS2NvJILOIStu43ZYLj9ar6drni/W4Y7mzsILCxkbAmuSE3DPOM81oW/h+PSYbmG71PStLilQBRZRDzVIPUsck1BHrvg/TZLeyF1cavfO4RGmk3O7E8c9qu61sLmb2K9/pZv9Vu5rvXXaIyt5drbwFyq+hNXrfwpbPp8dvBo1xco0/nH7Y+1d23AbHp7VXn8bavvkTSfDLwoGIM0oWNTz13N1qtqF34gv8ATbee41lLOWR33rCPNXaMYA6DPXNQ27JMpRbOoSGTS1RZL3S9PiDZljiUklfT1zXLT2XhNp3M/ijWJJCcsyTKFP0GKz9PsLZNQW4lnv7ydY5TummAT7jfwKMfrXINqTRMY00bRQq8APZb2/Ek5NNWb0Y/Ztbn0SyVBJHmrzJUDrn/AOtXtWPMM946iaPn0q6U68U0x57VNhopmLAPrVG1X/iZX4xj/V/+g1sGP2rPt0/4mt7/ALkZ/Q0gJPLp6R81Ls4p6J045pWAVI6f5NSomMZ61JtFVYLspvDkVEYOa0CtNKUuUVzNaD6VE8WRWmY81C8Xy0rDuYssPJqk8XtzW1NFg1Skj46c0DuZbR8e1QSwowwwUj0NT6hP9l2AKCWPf0qot2rOTIixxKN24nPSmtxGT/witvd6pLe3kcYtEb5Yj8ob3PtWT4n8VNqjPpekN5Onx/JLOnHmf7K+1Z/irxc1/C1raSSQ6arENIv3pj6D/ZrkBrMaKqRBUReAtbc0qm7I5VA3YGSIBEAVF7VfSYcVy0OrIzjIHPoa7fRdBlu0S6uUaOE8qh6v/gKJRsVGRkahfi2gJRd8nYdq5hLea7ulmuX3s/P0rpPEcaprFzGiBFVsBB9KoWiJEyluSPyFdcYRhFSOaU5Tk0a2m2W1VworZMWFHU+9ULO6QlVGMVsIhmZERdzt0Ud6wdaUpam/soxjdGXKmCSelaWl+GvtcyT37+Tbk/JHnDSV0Wn+HY0xJeIskh/5ZnlVrnfFl5/Zmpx21uqxKkYkByflPr1rOVW+iCNO250eoa1ZaHCtuigyYwkSD7v19K4e7utQ8RakbeBHuLlht2qcJGM9T6UmkaVqfiu6Z4naO33fvbt+pP8As+pr0zRtCs9DtBDaRYJ5eVvvyH1JrBtRNdzB0DwTBpcgu76X7Zej7p/gT6CukuHjhUSyyKoXr71Bf6tDa5SM+ZNjoO1YLx3V/NiQnB5x2FEYOWrE2kWbnVpr1zFbDbH69zT7bTgi+ZPUsFtBYx8/M9NluGlJ9PSt4xSM2ySS4CqEjACiq24seefanRwvM21Fye57Vr22nRwASS4J9TTckhKPcrWmnyysrcoPbrVm50m3MZ2yss3Yr0FXfOwu2IbR69zUYUmsJVDRQKMVnsjUSyyyEf3n4/Kp8Y+lSlcHGKrX8r29nJKn3lxj86inCVWait2VJqEWxzA46VVkTBNR6ZrMOpTyQ/uiVj3HY2dp5G1vQ8VZkDcZRSe+DSrRdKXLIcGpq6KpXjrWQiziLVfs4Jm81vLA9dgrb2gnkMP1qpYxeXNeNvBMk24cH5eBURmm7FOLM/TJdRg0iz+1k/ammRJPMHODUUVxuv5mSXymhBQ/Ljfj+GtaK7srq+WEsLjyX3uUPyKewLDv7VL4e0pdQ1wwzrhXck44455r3cPTcKD50cFSV6mhjR+IUlaOJ7SRPMON6ODit/zpbmNpHd5PnAy/JGF7Cuqm+HekttaJpEdDlScGsG+sbizaaKRQG3Dg8Bhg1zyVP2MktzROTqIxJ7W70ubzb+Wee2fOPK6j7579eCOK1XtvORJbS8UxFgcFPfkfWt/yUubURSoHQrjDD2qlZ+H3i1J5hM5gKn5M/wAWcivloVqlZuMXZr7j1bRgrszYLS/8pfJRZWC8tkjnA6Z/rW1p2g3NywlusRru6ZyTyf6GtxIkQ7jsx7cD8qsxS4Uenau+nRuv3tn8jCVVr4B1nptnYgeWq7vUjrVoIZoWD7R6bR0ohdGIA3Fh171J8+xsvg+4rthTjGNoo5pSbepREKElfKEoz3AP61GdOtHH722j47BMYq/yAAkQxnOR9aYypuy7MfQVPIh8zMafw5ps+dkUiFv4g3HP1+lZ914VibdsvGjzzgp757V1SncoGePcU3bECMlS369Kh0YPoUptHB3nhi8azkSNEn3K4CB9mdxzVG402+jDpNbvGG3cBePvjB/KvSPKy3SNfx56UjQoo+XcWPXB3dqzeFj0K9oeZaFYvdrdRWavLJ/pB3ONoGZOnP0/Supgi+yeE54pdnmrG24pyu7nAFdNb2iRM7FI03DnaoGfrXEa3qc8l5fadCkaRqkkh8tsvkJ8mK9GnzeyaSOedudGJaxOHZpmCkyxMM8k/JTJXWK0JiQBhAMFxuON/p0ra0Lw+17FPK10BIJUbauG42AYb0PJ4q1c+E9QjiZLVrdiEChi2GOD715FalJyukdcJpKxz0sDm5RpW24ncjzDzjZ2FUP3MNswjj8xlt4huk+6wL/3f8a6C50K/EwMsRGJHIbdu4K4FQiwsbPC3TmV/LjXYgz93pnsK5Jvl0ZqtUa3hsymzunlz81w+04/hGB/StG6mjVv3jYOPu92/CqNhK9zZq8P7mLeeEbJPP8Ae/wqwtosWXUbiOjMev41rDncbLQh8qepDPeTSY8hPLyPvSDJ/AVGtr5wXzXeSRucvztoGIHHmusj7zhR6VIs8sjL5aINy/fc8/lVKEeuoX7FlF+zqAmFxyCfWrMNxI8hHm7R/fPQVzd3dagt3cLC4lVYQVUvxuyB9KdJq/lCRZEyRs4i5PNaxqJMlx6nR3TQKkBuZn8oP82PWuL11r6Ty0spns1ivFMokOGaPI+6BziuijW8vY8JD5f7wgGTgMB39arrpNgk0VxeyG6kR2dP4Qh9OP6mictL7DjG70OP0a7vg9qLexuNS330v77yVjEKgAbto6gZ6kjvXeWNpNDbol7JANzM0ZTgbOONvrUEWoeUFFvEqbsr+7HHaohJcXBhMkm3nGAc1yzxdOmvd1Z0LCzlrLQlii0qxmWRLZXmc5LSckPxyvp+FK2o3dysW0EKDsH8PHFQRpHH5bHj5v4jzQsm/wAoIpYburfKK4amNqz0udMMPCPS40xNJ9+Qv+86KMetKSiAjIUmToo3E1Nb2s144jiLMS/IT5QOvWun07Q7eyy7KryE7unAPtV4bB1a7u9hVsTCkrPcyrHRJ7lmkmTyYy2fm+Zj/hXR21nDaptiTHqT1NWB0qpe36Wi44aU9F/xr6ChhKVFe6jyatedTdj7m6itU3SHk9FHU1z13eTXcgLnCDog6Co5p3nkMkjbm/lUO/LYHNdWxiKThsZpwXnmlRAG3HrTiQp560DGhOTjpTGXa3SpgwP09BTjGCvt6UARbcU1iM5qVh0x19qjf5QeeaAGM3UUwnHParEdq5TzJWEUZ/ifqfoKR7iC3/1Ee9/+esn9BQFxkdnPKu8gRxf35flFMkeygGMtdSf98oP8aiuLma4O6WQv7E1XK/lQNFk3txIu0ERp/djG0VGFyck1EHGafz/+qkOwY2mlJw1ITmjIAFIY5TkjNYYuGHiC3TccF3XHrxW6vrXNyJjxJaMT0mYj/vk0LcTOnU5Uk0xeWNMLZqSJcgn3pDsSg8cg5qUDNRoctipxilYLkixk4qxGmO5NQq3btVmPGP6UAaFlxnirbMrKRnmq1iPkYtjrxinuVRjtoJKNwkvmcNwD0xVa5GYzjqKneU72OKhkLbSe9K5RhiP/AEvhljzzk9KdO6bgud+By68ZPtVDxIHt7YurEbg2KdbPuto2PUoD+lPoC3JhFvz5cik/3W4NVpEeNtrghvQ9amI9qc7mQASHdjpk9KRZTB6jmkLY461M8XUoc+xqsx2thgQaQh288UxnJpN3Sg8jNFx2Gnnp3qIWlq2pW15PDuaB89Oo9/Wng804jPWi76BY1Rb2cuvRXMG35oWX5Rgdq2JdDaSQ7HATse9cvBO9tKJE6iptT8aaojLDb2ewMPlaJDIfzPArNx7is+hr6lZQ6Xp5unMjYYLn61aeeynhjS0lhkkVf3gjIOPrXleu+INdSNnvI5JomYBBLKDt/wCACus8I200C3Mk0rvuC4/dbFH0rjxbSptGtJe8joJRjFZGvI76LceVkSbTsx13Vsz9BWPrsvkaNcTbSwjXeQOpxXk5Yv8AhQp+qOrEv/Z5ehyWhxX40WJJXK33kFt03OH3Z5qvfWc9x4s0GILvaII0hXjgEZIq1pWsLd6N/askTxoYGlKL8zAZ7e/FVb+d38Y+GnR2XzDEGxwWBxnNfpWMaUJW3sfOUb86vtc7/QiDbXhQbF+2zg98nd1qbUVIhnwWzsPf2qDw7n7DdlhtzfXGM8fxmrF+VMMw3fwnsT2r8wqJupc+lpnnWognTtN7krKf/H6m0vA0e6HdruIf+O1qS6P9qtbFYbO9ugsbYIURLyx+8T0rTstAuobExvbWVmPNEnzyGXt1PbNavY150Y3gqIHxEszJJhAwBA+UH3rvvEs9rfaEdMTUIEuJXjyC+TgOGPA+lc0BpmliT7brzzrsbdDCoVAO/CVnx+MfDdvdRxaPpb3Vy7hVZYyeScZJ5rsw9d04OMVuc1Wn7SXMZ58B6fqOpXd5NPe3LSzu+y3i2qMnpk1vf8IbbNBZxrpVv5drD5cRvXMmz5ieg61nX/izxUxlS10yztIo2IM08wRfqM8n8q53X9cmW2sDqHiO9DXFt5rR2UW5XO5hkM2Ao49KmPPKyuVy2Owms9M06xltr3X4rKNmXjTkWArjtkc85qvpXivwxp8selaP9p1G4lf5WuJTI2fdz0FcPBf6cPCeoXP2QTqt5CjHUJjJu+ViD8uMfSo/DHiGSXxRZWls0MULl98dtAsa4CMeT1P51ooTcWLlj1O0uvHPiEJtt9Ig0y37S3jrGMfjz+lYXifXri3mhF94knxJBHI0VrDvyWXPDHCgeledX19eXc7PLk9eZXL5rZ8czNFq1qnmBQun2w6f9MxWqoe8ri50tjoLC50680G/mis7m7LXFvEfts2d5LN0C9P610tnpVxDqNp9litbSBZVLrBCqlh7nGa4fwdIsnh+fc7sG1e0TI+jmvX7aGQz/PDsVT16ZrGtHkubUpJ7mJb6D5zu80sjLvJ5q/JpMawW0bA4V2Iz71dDxwIPNlUKSTknPeoNQvY8W4VJp/MztCZ559q57N2NHNEZtIE067kKqrLAwUevFeeHR7mQ70hlZT0KxkivQ7me8gtJd9iYVeByrHGcjHvXJNrupbj+/vB7AHH6VrGMkzOUubVHsZGaidRUv401+RXvHkFQrz7UwrU7jAPrXK6b4gmuvGWpaRII/KgRWTH3vxqWNHQ4/KqNuuNYvB/0yj/9mrVKZ71n24xrt4M/8sI+PxahjRYKc+9PRQK5Tx7d3lnp9lJaPKn+lIH8rriustgWhQt94qM0gexKq0/bTlGKeFqxERWk21OVppWkIrsmKjcZFWWFRMvWiwzOmTrVKRK1JlxWdMNuT/Ooe4zlPFLxwiF5ZdkYDZzXIoL/AMZSvb2jNBpUP+sdvl84+leganZ2d8qpeW0cwXpu7VDbLaWdutvbosUa/dVaHomNbnFrJLp0X2KI7YF6JtBX8qzpbCxv7pEmsbd2kYAkR7T+ldrd6TFMS2OtUoNFCXSyZOE5r5j6xabs9T2lTTjscVBoWmxX6Tx2qK8Mm4APkceoNdoniHI+e1/I1gpYSvPIQP4jx+NS/Ypk/gIro+t1F9oz9hTfQztf0uPVbu4u4L97YynJjaLI/PNcz/wjupKT5c8MgH+3iuymimRDwwpunWrzzPkdRXRTzGslqzOWDpPZGBpWg6y97EjCONGbmQyDC/1r1a10m200WKxP5spm+eX1+U/pWRbaKspHJA9q6SKyjtF0+OPP+vyWPU/Ka6KGMnWnyyOetho043RoCPJrO1Hw1pmqyGW7tt8pABbdzj0rZC89Kw9X8TW2njyrUpcXHoOi/WuyxzmifsWkWSr8lvAgwqLx+VcvqXiC4v2MNoDHD3buazHkvNTuPNunZz79BWnBbRwrubpVLlROoum2W2Fncck9T1xir0tyEX92OW71V892OMbI+4705EZjmNfMU9SOn/661UiHEiJLHLEkntV6106SbDy/InpU1pFbQMSP3kp6Dq1bdtYyyxiW5QqD92L/ABqZS7jVinFGkS4iTgdz0/8Ar04oxOSTn1rRMWOMdqb5OTWMm2WlYqLEQBUoi/OriQ4IzUqxdeKVirmb5XqKz9ZTbpk3tj+ddD5QJ7Vla9FjSZsA547e9dWCVq8TKs/3bPOPDhuIvFixytCscqFt0bfeG5sb/Rq7x4yW4OfauJ0i4stK1+4uLmyezLW+3H33upN5O5V69K2863r+5yjabaE/djOZGH+03b8K3xVF1KvNJ2RFGajGy1Yuo61a2Mn2dA1xdH7sMPJH+8ei/jVC2srvVWma8kEMLP8AvbaAnaT/ALR6t/Kt+x0Oz06MLBEFbOd2P1quH+xRajMVG4TnYMffOBis6VSClyUl8ypqTXNMgEaQzwWdqqrDC6mTBwM9hXaaRHu1PSC00b7bbI2DBHXg1ysVp9msYt4zJJOjuf8Aarp9C/5Cunf6GLY+Ryf+en+1Xc63tIO2yuvwObk5ZI7auA8TGJZpt0zyAY6jleG4r0DHFee+LmkS6lZ4kBwNvYHhutcN/dZuviRr20ai1hc/xKDVpd3YYWobU4tIRty/lirG07SWOPavMjGMX7qOt3YgYB+OWzQAcAu2B6ClU5YBFwnrSYXq7bj6VZJdtLhFUjbhcjBqSO4UK7KQX6hc1FZ4e3AYKNp/iFPVIWt3MSROR/d/xrohflRlK1yb7U38SFP/AB6oHukVhg5OBwBmoX3gr5n7tf7obK05UyV2J8px8wPFTztjUSxE7SKCXUdPu/SjfjKoqsf/AK3rVURMvJ+cY9fajfJkCMFcD+Lp0o5wsWmh3LmRVx6fhUYijQny4mB/2WOOlVrib7PC81yx2r1Ytx+Fc3d69qV55WxvsMEhXZz87c8jPfgdBUTrxhuVGDZ1lxqFvZITPdoi/wAQdh8vHFeaTSrfXWpzQkySPA+JDxuzwP61YvrazNqUnM0QkcAH+OTad38/WoF1Ca2tZpxCLeNpI0HyZK7jjv07V24WrKeHqTS12MasEqsUdR4de00nT7j7Q+DNKGIkTB3bQCB69K1ZL5n2hXjtkfmMzNy3/Aa4zSDd6lHPLEFkvA8ihJWz5hXgZJ6VqaVeJp+qXjXti1lK+BsWQyCQ46r6DPpXnTc0/wB49DdJfZN1U04Mxm1KKQqc/NIOB/u1b/4lskRUvbybVxg4NcbeT2rR3E86xpOQxTzQC2zPp6U23Z3mZ+JAsi/PJ0AxUxnFbIqUH1ZsS3Fql2tvYQgI3ChV2pmo9Vae0hiicbpXO4iNsYAOMVGqwJKZZZlLqW8raPvf7oprJrF08YjiW3Vwu2SYcjnn5adriHRafHHI7zSeSpkLgLyTVmyjt0C+Rb7kUcSStyaIoLe1cG6ne6fc5VHxhD2wB/Wmy3Uszb449qeVwAOKiVWEFqaQpTmOmtRLNM92kHlcfuwNxqN5bO3kJtreMSBsblXnGOBTWjeYSeYxclF49KikMcbMAc/OOF5NcVTFv7CsdVPDx+1qD3FxMoXhF8zHrUQiUsrSEuQ55Y9KXdK4+VAn7z61XaaEHczmZlkwdvzbfr6VwzlOb1OyMVFaaEyyqDGEy3J+70/Omxu5ERLLGu7GB/jWPJrsUZiDSJGzT+Uqx/vC2ccE9B+tZUetPdJasiBV+3eVukPmMvTpngVUMLUmROtCJ0q3UAMTIN/7zaXJwAeO5rR0XTLnWY1mMrQW6SHDxr98egLD9cVH4a8JS36rfa9GzMk5khhk6kdi35dK79QFGAAAK9bDZZFe9M4K2Ob0gVrOxt7GPy4IwoJyT3J96t0mKzNT1HyAYYiPNPU/3a9eMUlZHnttu7F1DUxb/uosGXuey1hFmkcuzZJ6k0EfMSTyaFx17VQCFcj2p6Jt9zSAknAqRV4pAMII+tNOWHH51MUJPtSHgGgBEAUDPWnHn6U1Bu9qmTyVbfNnyl+9z39KEDGxwSTZ2DCjq7dKRpre1/1I82X/AJ6P0H0FRXV/JOAijy4uyLVTGaYD5Znlbc7FiaicZ5pwH50hX1/KgCLmmlRx1zUjHBx2pp470mMixtY8fSnoe1OK5HUCkCsGBOfrSKQpHpSBfTpTip5xnFIBk470rgGOR6Vz8/y+IbX/AK7/ANDXQAj8a5+7GNftT/08DihbgzeOT0FSwhgmaOSRTwxCgZxUjHh89f0qRDkn0qJBtH1qZRgdKBFhB8uahvb0WduX4LHhF/vGpC20AYFcx4ivjHrWnwA43biv1xQtWJnPa58W30TUZLK0L3ksbYmYOERT/dHBz/nrXV+EvHdr4us22Fo7pD88bdR/jXzRcsz3UzP98yNu+uTXUfDy9msvF1q6OQsmY3GeDxmqlHQSep9KLI4GWYVFJPuB+YZNQvMpAwAu6hyFX71Zsuxg+J23WijnOGH6U+0XOnWrDvEv8qb4kIe1i57n+VO0450mzPX90Kp7CW5aiPUduwqJ+p4x60/O0jGMUwnkVJYx/u9KgJ8w7HGR71O+TVcqQeeRSY0RyQlMmMlgO3eofMPpVvOSCO351E6I+T91vX/GkBAfUUgPzD0oYFTg9aTrQhkgbPNNzkbecGkHIpx4qhFZpm0stPHtdv4d0YbH51teHNZvNW+0i8KYjC7Aoxisl/myrcg8EVe8MWwtrm72fdZVI/OuPF0oum3bUundSR0MygAe9ZWtmNdJm87b5RGH3dMe9a8wO1cisfxBbrc6HdW5baJYymfrXlZcv+FCn6o6MS/3EvQ5vR/skcCiy8v7OsJWPY3y4z6+lVpri3Xxzo8kyI0bQbk3uFCtjIOTwOlO0nRYk0ZtJmctELQxOy/L+P61na3ZW58T6XA9wsSQwRmMOP8AWFSuE+pr9Cx1/ZzvtY+ew9udHe6ZqMKq0doPPBdmygabBJ5+b5QKklvNQj8x1iHBJ/eyD+SD+tT6NCgt7rGVH2uYbVOB96k1JFFvcYA5Rv5V+az5uY+mgk2ctqGt6sI4ZZb+C1EgYlU5YYPbGSaqQNDfW1xcT3NxeNHLGMy8AZ9Mmue1XUFttK0zdGSC1wvB9HFXNJ1K3XwzqV1uIRbmANuGPWtPZuyZorIv6Q8V1cXEKWkUf7iTMjkyHp78fpW/a6bLD9nX7TKFDKSkeI1/JRXPeFElmkvJ4o2dPs7BXx8v511dvdI00SzXUAbcAqh8n9K0hGyHzGDqGm2x03UZ40/f72ySf9quK8XRslvoseBgWA/9Cauz1LXNO0+KdQZrhmkKlAgQcn3qhrF4iR6e8Nha5NohVpU81kHPAzx+lbRvGxm5XOWh0uefwFf29nbySySajCQkSlycI1WvCPhPVrDWba+vI1t441kOJpFRvuMPu5zVy/1fUpPBl28t3LuW+WNfL+TC7Dx8tSfD61/tG8slldvMkEke/HPKkV2UadWrCbj0OepOMGrmGuiaLbwk32rtIwHKWduX/wDHnwK0/Fl1pdrrTB9DS/lW3hCvdTNs2+WuPkXH866nWfhpqtkjGzUX0OONmFb8q5/xdprnWpdyPHJsjXDLxwgGKiUZwkuYIyi07FvwXeXWoae4tbe004JqMY22tuAu3y2Pzevbmu+j0loJori91YTSHkJuVF6dlFeXWOl66ng65jsLe4Fy+oo6FPlygQ5OT2rT8MQ6omqQf2tfaejgMRGsu+U/Kf7ny1EuVxk2ON9Dsl1HwxYZOPOfOcrHu/U1WvPF0NpDbzWlmCkyMy+e2NvzEdB9K4ZdS0SWYQ2bahqUw7Rp5YP5Amtu9s9duLfTf7O8P28RMHzPeAMYTvbj95+fSqUZO1kJyit2X08TanrqXaSpE6RWzsiW8RPzcD8azlttVKg/YCvs0qKfyJyK2bDw1rklldprPiBmWe2MIhtk+WHJB3Dtnj0rLX4ZaIFAkn1KR+7+coz/AOO1tHDTcncz9tFLQ9WywoHI5pSQW604Cu+5yEEmcVSg0qzivpNQSBRdyrseQdWArSbBOKUIMcUrBsRAYrMiG3xJc/7VrGf/AB5q2CmK5HVZ7h9euo7QyJILLHGBu+Y0MaLviaQ2+kSShiuHQ5H1rYhcSxI69GFeXJdLHF5F5cMrAYZXzitOz1aWKNVg1XKgcbmzUpjPRAKkB4riY/EGqKRtuIJPqoqynifUEI821ikH+zkVVxWOlmvY4b62tGVt9xu2kdBgZ5qz1rg9R12W5vrG5+zPGLeTcwDdRW9p3iiy1C5W2USJM3Td0ouFjbZajIxT9wxTWNMRVnH5VnzrknjitKXkVRkFQykY1wmWNZdxASeK35ostVSW3VlPFS9mNbmZPf2sZCO5DewzUcV9ZhifOXkfSn3OlRzoRja3YisKawlhYjJyK+axWCdGXMexh66mrE8Fu3nOw2EFieGHrV37O2MlDj6VhmOUH3qbTEmbVIxvbaOSM1y8pvYvywKQQRUGl26LfP8ALxtP86orfXkbEec+AePmqRdVuoySNuf72wVpytKwW6nX20accVJfSJb/AGOWRtqJNkn8DWJZajeTWUcwj3MWOdq9qsaobltKiNyicyqVTv8AjXfltKcanO9jjxkouPKZureIr3UVks7EeTA3Dvjk/jWZa2EcZH8bdzVic7ZDtXC7jwPzBqM3awr8oGa9aUpuVkcSUUjQRRGM8ChpfmCgF3PQVQglluWHPHr6V0+maHfTw+ba2j7D/wAtT3rSFJ7yM5VOxTgsMkPdvtHaMd66Sx0aadFLJ9mt/Qj52/wqOPSNW0yYTR2gkYjhnTeV/wAKtJrGqxDE9iCe52la0tYi9zYgsYbVNsKY/wBo9T+NK6VkjxNtP7yycfRqkHiW0cfNDKv4A0OwFl4+aTy81ANZsGP+tK/7y1KuoWLn5bmP88VFhkyRYFSbcdBmnwyQuPlkQ/RqsCLJyKqwFXyyTnbzWT4iDx6PK6nay8qR2NdAVxWP4nT/AIkNxx0FdOFS9tEyq/Azzvw5HZ3Xii4zJPM62vnS/aU+5J5uPlbHK4rv5ICGfBBAHpXG+F52n8UyL/aMV55enFBGqBWt8S/6tvU+/vXezplpMxHp6VnjLuoyqHwma0LZ6Cuaig+269IqZaC3fzZPQyEcD8K6DW7xNO02SUBvMK7UXuxql4as5LWymjnYed5xLkdyQD/Wpp/uqTqdXoOXvy5exJeqFt0I4/erWjoc0LaxpYjumnxbYIb/AJZnnjiquqREW0bEAjzVrFsdT1W11nT2uLclok2wIFx5kZzz711YRXoP+uhlXfvo9d7V5z4ocfaJ/I3sON+eq8N0PaunfxKkMZaeznj46leK4bXLw3jyu86JjAD7e2G9OtZuP7uTHF++jsrUym0gXAAEYwT/AJ5qUgBvmO41DYg/2fC5kJJjHX0p7Odw2DC+tebp0OomDFmxnb600OozsXcRSbkA3OR+NQtdBsCPb9adwLts8nkSMHwVwdoXIq1YvK1qflVW902ismG4uot8cALyuwII6CrQurlIW+0xFgecqcGtYSstSJLUuXMgQHzEDeh/GoLS68wGDG0AZUntVdtQhVXZg2F6sx/rWcNRR5c2yE8/f6Csp1LSuiox0NosiOd3Jx9e1VZ9RjJcqodV+8R247npVeMh4nFw6PtwSOgH+NQ381sNPktBgq6bWx0x6VDc2NWMG+1W6lkaR/LtAB8qE75Cevy54HHcVHbI9qJZVPmzyFvvDzD07selXxoS6rM1xIgJLuy+aThQw2kDHbGKsG1soGMd3dLlflARuF49BWap63L5iO00BdXsi80xRI5yVSMDn5Rx7VW13TlttJu55Y5GAmj35bDcFcY7V1WkNElqAkm5Q3GRtzXL+Irx7lLrTrcNdzO+9og3O3coHPbn+VenT9yi/wATmlrMz9GsjPDctslhAlk2tbS4PXrXTXUN3qMNsksmHjO4umNz46g1nabo17bJI11eR20bSPL5cS4J5/nWxGEW43RrJLk4DOfvVyTUW9TaKlujGh8J2n2tpgJJbhVYZfoFdsn2rRbRLdZlM0oyGyoHUY7VrwWkrxYeXYrL92M/1qwY7a3+XjeW/E01TildITk3uzMtLdLeJ1t7ZVJTO5+uat/ZJJiWncnLg46CiKY7SkaKh25A7066uLe0iL3lysagg8nH6Dk01ytajd09ClLFbIMBQzKzdB0rOkmbygqxnPl8Z6UX/imytnEMMWSJfL/efKCT6Dv+lcrL4nku5reMs/73zVAVdiHb6jr+tefXSb9066b5V75uSygbkml+fyw3lLy34KKo3mrw2yzhNiOgRvnO48/7I6fjiubNzdX0BijmQs1gzLFGCpzuoudODLeC4aOPdb24IHzvkdflH9a540P5jSWJ/lRe1DVrlorgJBI3l3CD95059l/rmqc015c3U6fvXaPUVXai9Ewewpty0MKXrJbys32qPcZSdufYL/jUrT311dywxSPIw1FYxGi/w4PGBW8aaXwownVk92JBA7zRJJND5n28mONV3s/TgY7/AFNd/wCG/BtrZwxXF7a5uFlMyI+Dsbpk44z+dW/DHhdNJjae7SKS8aRpAVUYjz2HvjvXTivTo4e3vSOOdS+wAYoorO1PUVtI9iEGZhwP7o9a6zITUtQFuhijYeaf/HRWATnk5+p60jOXYszbmbnJ70AZNAxRyOTxSg54oPAoUADmmBIBxQp3H6U0ZYjA4qZE2npSAXJ6UxgsYJc1ZjhLgsMKo6sazbh0kbapLD17fhRZgQXV8I23K3yLSW959r0+3Zfu4J/HJrN1ZfLjTnAbI4p3h5s6Fan/AHv5mhAzUApDmgsBTTyeelMBdwzjvSEil4HTpTfegBrfMM1HjqWIAAzntipT93FVLm4SOSC3bn7RMkR+nU/ypANvNT0/SIEuNV1CCwhk/wBWJM75PoBk0+x1LStZtnm0vUYb2OP7/ln5k/3geRXgfxA1ibV/GupSSvlIJTBEvZUXjj8c1n+HNdvNB1iC9s5NrK3zqejr3U/hRYEz6TMmB14pEfLFFBL1Ue8QwC4g5WUL5W7/AGun868q8f8Aja/h1ebRdLuJLW3tflmeJsPLJ1OW68ZqUi3I9i24OGGDWDqHy6zbsOgnQmvOPBXxF1C21GHTtXuXurCZtu+Y7nhJ77uuPavR9TG3UIjnI82Pn8aBNm+m6RAQME81KF2gAnmszVNYtdH025v7ufybG3OxmQZeSTsi/wCfWuV0z4uaLe3i29zYz2UTHCzu4fH+8BSswud+jYOKmTj6VANrYZTuU8qR3pst7FAkkjsqRQ/62VztRPqTSsO5dyQB61yHjqyuDbWup2iF5rOXzNo/iFb+m65purq7affW90F+95Lhiv1q2yrMrI4DIRjmlsG58/eIfDRu5jrGiI1xZXR8yRE5aFz1BFbnw+8MXa6ql5PA8aKp2CRcE57/AICvRT4L0mLUzPb302nvJy6RuMMPcH/CuhtrG2tIR9nO8Mf9YTkmqc9BKIBFPGMDtTJF21MwAI6896jlbI5qC0YWuDNohP8Af/pTtJ+bR7Xn/lmKZq5LWwHH36do0gGi2o77f61T2Ety0wI/Cmhuo704nOeabtBHNTcsaTzzTH5Hy04r1xxUTjA/wqQGMc/WmHpQzcc9KjzzwaBg3IwefeoyCnuPWnmm5INAhqtz7U5mDCkdVU5Q8enpTSaYCMKIZ5LadJYmw680Z4puQKTV9GCujqbe/jvbcMMB1++npWb4kaVPD948H+vSMtHxn5h7VlRXElvKJEOCKvatqKJ4euL0KzLEu50Xr9K4aGFcMfTnHa5tUqJ0JLyMzwrp19qmgrcT3SQXHkJvlmjz87H+4K67/hXGl3NzaXV9NPPNbIgXY2xcr7VS8BzW+qeGZb+cGOCd0cKW5HPFd7E/mxK4GN1fR4ytJ1HFM8qjH3bnHaYBHHdqzYP2yYj/AL6qPUyn2eYsWC7DyF9qn0/5ftv/AF+zfzqvq3FtcH/pmf5V8RiIqNVo9yjqkeVa9c6RaaVphksLi8Ba48vzZvLAO4ZyF6/nTbDXZY/BOpXVla2lm0d5FGoii3dQeTuzk1S1+2nu9M0ZLeGSWRnufljUsfvj0q7ZeH9Rg8EX9td2/wBkea9ikU3LCMbQDzzXVHl9mr/1qX1NHwNfvqNrq9xrF+8kSx7QJX4Ax82Pw9K6aDXvC6X9rbWswldpFSNYUyM5xya4XQdLsrL+0nk1y1mY2Eu+K1VpCgwMtnha0/C1tayahaCy0fVroLIp+0yqI0UAj5sAHP51o0ruyJcrGV4quNN1i4dIY3huIWZCS3BIJ5wKl1LS9XuYtJTS/NkePToVIRCwJ5rrrfQvEM9xKbew0mxj8xv3k4DueevetK78JS6jcwR3+s3QRYVV47X5FZh1P+RWkaVWXLoZSqxVzhDouqf8IlLbam9nZzPfq5aaUAbdntnn2rZ+H9tYWOvWltDrdveTpuIiiiYDPrubt+FdO3hbQNK05bcwGSLzvNP2uXdl8Yz27VoW95o9srR2MVqhVScW0AB/PFdNJyoqV5JXMpp1LWiztGdwMvKiD2rOafTzlZ8TumWAK5xXKxa1cMhSDTpnJOcyvtpl02qvcymOWGCIjGdoJ/M0p4ugmru46eCqvfQs6pp2k63YBkjuokkfzPkkxz06elVdO8M6Hpsy3MVmonAOJJpS7DjmlHlRaekM165RWwPL+nSm289is2Iond9pwzn2rknjaSvyxOmODn1ZPb39jaEpbhFXsttGFH6U+4uZ5TH5Fm7FlzmQ4xVCPULhh/o9qqjthaW7ku3aLfOIsoMjdjn8KylmNSW2h0RwEIvX8zQxem3lM08NuCuBjqvvVHyLP/lpq82/vhjioY0jEVwZJmfKc4Hv71APs2P9VIffd/8AWrB4uo3v+ZvDCxV0l+B6E0CjGOKjeNh06VDqF8bfTriZMF40LAGuI/4WHdCX57OAoTxyQQK+jZ86lc7rEm7rxUo3YrO0bVF1SxS5wFLds1pLKCKSCxHK5C5xXPSW5fxYXXILWXT1+etrUbr7LatKFVivOCetZFrdmXWkvHQJGYPKxnod2aTa2Y0UdR8PNcOW8gNmsObwy6E5tG49Fr0suvrTgQRRyBc8lfRGTosifiRWHfjULPWdPt4LiURTsVfvivdWhiZeUQ/UVxni7TIJNW0RUjVPMnKuyjt1o5WHMcmY9TjwVuSfY1oaDa3cmppczkbo+hA65rvG0PT34Nvtz6Ukei28J/dlhU8rHdEsTNsGalOT3pBAUH3qTJHWq2EBHFVpUzmrJbNQuwJpAim8WRUEkXFXmIxVZmAzSGZ8sRzVN4UZvnXitSQjmqkgBNZVaSqwcJGkJuEuZFJ9Lib+Gkt9NS3kaRRz0q5HIA20nipiAEY18liaM8PU5WezSqqpG6OUfSSGJHrVWawdBgCuj9arzpkj61Masrm1ixoMXk2wT0q/exo8lmjjKtPgj1+U1WsCIs/SnXt0Fnsf+vkfyNfTZe/3CZ4uL/iM5vVLKWxnkhZTj/lk/UY9GrOi0zdJvkkwPTdkfpXd3MlvcoEuIkkX3FYl7pNmw3Wj+S/o3Kmu9M5WiOxtYfL8wYcL+Arr9O8RNa2aRbiAo4G3iuKS2urdxl4ZYx/CJMZqYaghYL5E0ZB5/iWqjJIlo7qDxKWePeTx1q1a68fOma5mV4mI8sbcbfXNcPFrtt9pEjiHy1GOVZQSatW1/bSM5kRQD0AlAx+daXEdyNV0+Xh0hb6gUpj0e4HzW8P1C1yPmWbjgyj/AL5ak2wj7kzj6qRSA6ptD0SbpEF/3WIqF/Celyf6uWRP+BZrnBNJH9y5Yf8AAqeupXadLkn680cqC7NaTwamcw3ePrUB8LapDzDdAn2kIqumuXqfxq34VYTxJdJjdGD9GpciDmYn9n+I7dfleRv+BBqo6tJq/wDZlxHfxsIdh52Y5+taqeK2BG+FxVXX9dj1DQ7iFNytjPIrbDx/exIqy9xnCeHtSvIfFBM1rbbBZNHE8P3nTzT8z/7Vd0ddWQ5aNwG4rkfB17Z2nip9um/Zd9gwkdjuW4YS/fFdx4g1nS7PSbidbaKSUDbGNo5Y08RSc61h0pqMDm5r2LU/E8QmP+i2Kh8Y4Mh6Vq2VzbpLcl3A8yXcP++R/hWhomj6VbaTDFdIr3TL5k0hY5Lnk1bfQNHcfK7Jnnh658QuaVo7I0ptJXZz19eQzIsMOXPmAk7cAClsf7Pk8YaWtrA8DCEGRHUrzg4rQudGso4JZbe8DtGDlePyNcGGktPE+li11RLl5vLCyDjy8kjaf1rrwsH7F/10MarXOj211V0KsAQR0NeVeIlt0kmC2744/d5+8cP6dq7ue61OxtXml8mVFHLDqK5rxXzoVhIjh5GcgNtyenXFc8pfupI0ivfRr2bIum2xPXyxkenApzys33e3rUFod9nADuJWMdRwTVgheMnPt2rzo2smdPUaqRliZHLN/d7VZhh3sgYgJ3UGqjXKx8D7390DJ/z9aRDLOMM3kp+bf4Cnzq+gNM2Ll7O3gIBAOOACeayyt1dgLbpGoZdxd26DHp/jV6MWkFvKRMuf4yTncff1qtZz28ssnyB1AwdiY/L1rWaUtzJaGWbFjITOGkZf7x/p2qwIRIi7Y1yBj0H41orDbmITL52z/axioJZoblW8nY3XnPIrL2aiaczZQubaSG2/4+Yw7LjH+1VFVeF0EhRYucsW3MeKsXQe5kkh3lPm+Yr0Ax/OqF/aXN/5UBl+zWse4Nxl3BX/AB9aibSVy0m9DZuZR9nOJnbCn92BgDiuXaXWrq+eOwgSGBZAGlcfwGM9z6NjpW3G6pGqICxGAC30pGzhPNk6Y4J71zVK6vudMKDZlLocUUUcl7eT3l4GhZiHOxGUEbh9ec1tvHFCpFnDHG2VLEcdx3qDcDEMIdg2dutXJ2JtiyxhEwCm78OvpUrEzcZJPQv2MYtaFnYsbZcrn5sseT/9anoTPMojLOd3VunSs17m3DkzXO8gsCFPT6noKyNR8ZiwjdrSBgR5ZDqu84Y469KqMr77EyjZaHe7Nlrumn2IE5wdoH41kXut6ZbFlErysGBxGcLz0+bv+Fed3viG+vJBvkORLcxDLFm+RM8VEJLuSHzJBHGrRWzb5X25Ofm966HXbVkjnUFF3bOik8YS4SK1URB3lj/drgHaO7Hn8q5qfVby6tw+/cz2IlxyWJ34+91NTrf2UFxbo0ryO11OqDG0bupX1rNGrz3NrG2mWyW8b6Z5yYT5v9ZjbkckcVCi5K9/vBz10NJrbF1K80aQqb2J1LSEFvk7Co4f7OSeyWMTSyB5/Ld/lUHvkVbNpAksj3DpEXu4pBk4LHZ6daghhsUu7MxSPKRJMVy2Fzxnjr+tQxXKnmXE9qI4ZVUGwcpFEmwZ3nHSpLnTJvJujI8USvb2wyW5yMZ4HNSqtw1sUtnEatZNtjiXvuPccmi50q5KXWWiRZILcAs3JIxngZNJJoN9x1yqKt2IIJ55Guo8hzgZ/wBkLzXp3hzQpNPSW5vGV7qVywCqFEa/h1PvVXwz4YWwklv7lmead/MSNxxHxx+NdWBivQw9DlXNLc56k76IMYpaKjmmSCFpHOFUZJrsMiC+vEs7cyN948KPU1yzSPNIZJDl3OTU17cvfTtI3C9FHoKjjQLjrmgY5UI+tOK4GBS55PqaC21aYDWwOnSmjJ570oPOTU0aAikA6NABuNWYIfNO9ztjHU0yCMSEyO2yBe5/iqlf35uSIohst16Dpu+tMB1/eee3lRHFuvQD+Kqa8U3rTwcUAUdV2+Su4VB4cbOiR+okkH/j1Sauf3Cf71ReGsDR+ccTSfzpAagXPWlGBSAvIu9Ebb/ePA/CkYFGw/BoAXPJpDzTR1NBZQeT1oHYU49DmuZ8XSy2Nra6gg/49bhJXH+z3roy+SDmq15bR3ltJBMoKOMEGlcdjwj4h6Z9i8Vz3kK5s9R/0qCQfdbcMkfn/OuftbaSWRBGpLMdqj1NeuT6RPZQnSr6yGp6Tv3RrnEsP+6f/wBVaeheG9Gs51ubLTJ43HKvcvkr9Bk0cyJ5RdUeXR9E0xHJxDJDG34cV5H40tZLXxlqiSD783mKfVW5Br3fV9MTUtKltWGcrx7GvONY0ldfjgtdSmSz1m1Ty0uZTiO4TtlvWhOw2jziBSXAGc9sV7/PIwtrGVh86pDv+uBXFeHPh88d7HLf3FvJEjZEcT7vM+voK7fXE2dumw8UX1FY4X4j6k9x4a0KFWPlO8sr+hfJFeboTn2r1fUNL/tfTb7wvLsjv4J3u9Od+A+fvJn868+t9Av/ALY1tLaTJKrbTGyndmqTEz2DwLrMsngZJpmLG03xKT7cj+dct8VNYkZdL0iORvISHz5R/wA9GPTPr3rrdM0N9M8Dvp2CLlleSQDsx7fliuD8Z2jap4c0nW4QZHgT7JeAdYyPuk/lSVhvY5LSNWu9H1KG+spTHLG2cdmH90juK+lYtQSXTIbyIgG4jRos+rgY/KvmS0tnlcYUnPTjrXuF9JLofh3QYnJxAUjl56cf/XpSQJ6HI+PPHd5Bqz6Vo1w1vFb/ACzyoBvkk/3vTGKvfD7x5eXmoDTNVn80yD9zIRgn/ZOO9edeKbWa08V6mkoOXnaRSf4lPQ0vhtZBr1i8ed/npjH1puOgJ6n0tNcbQscbjzm6E9FUfeauDvvi5odrf/Zoba6vLdW2yXIZRn12jvVrXdWlih1mGI/vY9Mcpj9a8CGDgDpjilGKG5an0lPe2mq6TBqFjKJbWY5Rv6H3o0dkXRoGY/xED356CvPvhhdyvpmq6fI/7pNlxGD2OcHH14/Kuog1N7Gwu3jKD7DayToG5+bLf4UnEOax0clzaxXEdtNfWcNy/KwSTqH/ACzUjBoyVcEMDzXzBcXk93dyXVxK8k8reY8jdSx717f8P/ENxr3hvF7LuuLGQQtKerRkZUn6ciplAqMzq5JCD7k9Kid+RuyPrXJeP/GNx4asbO00sLHe3yGZrjGWhjBwNvv/APXrn/CHj/ULrUodP1q5NzDO2xJ5B88THpz3FJwGpnpLKG6VERtY5qeO3kkfaDgkkZ7DHU1xd/8AE3SrfUmtYdNkubaNtrXBk2u3qVH8qSgynNI6wnI96YTTILm3vLWG8s5fNtbhd0bd/oR2Ip4HzetTsNahu4pCMrntThjeueOauz3dmloY7MZlJ+d2HT6fpTSE2ZmeKU8Cmnkn1poOaVyh2PWkk2vDNBIN0UybJF9RQGz1pQM1UJOMlJEyV1Y2/DNpbQaLJatGxtYZohFEr45JwOa9CAWKMDhVUV5fZahcWcM8MJhHm4IMse8Kw6HFX9KGo3niF31bWJLjTvJGy23eWPMyOcLjI61tiMRGT527XIhQlbToaGju89rcyIN+67mOT/vVJcWlzdCZIUQsFx82MA496jstbtbK2lh8uRpBPJkIAP4veoX1W8W6laG2iVZArbpSSV4/z3rwJ06DkpTlud8IVrWijEm8Jatf/Y7S81cWQjSRpRZjbuywwPlwKujwXomn2K2jfaLuOWdZZDcy/eYcDp2p97fXDvDJLqKxMVIbysDdz+NVZZbWWxbebi4XzBnfzz+NN4rDwjaETZYStLWT+41vs3h7SrSaOwtrCJwhz5SBnx9eaRNa8+WAW0czoBtcsu3HTpWXDOfKlENkiARnBbmnW8l4Xj3TJGu4fIoxxUTzGf2FY0WXxS95k8V3q2XCRQRBmJ3MM0y83SSqbnUCh2AERttz+VUTGHd/MndvmPGakmSISp8uf3a1zTxdWW7OqGFpxa0/AmJ06O1XCPMPMz83PzY96fb3ww6w26ouxucVA6H7Ku1AP3nYe1TW0ErBz22Eda53Uk3uXyQUWV/td7IOZNn0wKS6UNeSF3PXkVPFZEL+8cL/AJ96fMlml25d8nPTrS16l80VL3UVXES2Y2qWHmdz7VNYly+I0H3T0X2qWa5tUtV2Rbhv7+uPfNEGouxZFQKNjfyp6EuUnB2RBHa3soG/K/7zYqzNp+Xj8yVV2oAQP84qil3csuPMIHovH8qLtiXjLuB+7XqaLrpqU4zcld2NFUsooJRnedo3fNnv7VCs1jtH7k/98f4ms8XtrHaXbGdSI1UvtOcc1lHXtPU43vx/sVaU38MQhTV3eRlQfEDSvsbWcerOsDDBSVD/ADxVYX2n3DA22q2ajuGcc/meK0Z/Avh64JLabEpPdCV/lWhpHwo8K3lvK8ltcbt2APPbFfXSpnyUapa0XxDFpdqsIkjuEHcSqcflWo/iuYLmKEAn16VkXnwZ0C42/Z5Lq2ZV2go/H/164y++HWp6ZqMltYeJJAE6F1YfyNQoFOa6nomr+IZL3TJEtYs3Gz5Vc4G6uasfEGuTv/Z2pRWMMckfzzRbgyfmcH6iqQkudKhS2vraW6ZY+Z4ujH/vnrWJqbeI7e5Wa0s/MilkAi3spwPTj+tT7MrnieoW+p6hpdvu+2Q6hB/cL/Oo9v8AJrkE8QXLzSNb6rLF8xxEXZGUZ9KqaffPAFOsCSynZSVWSMkYHoRmsjVPELRSz2s2kXVzat0mjBAce3FPlYKSPXfDniu1ksWiv79WuVc9W3YH1pNd1OxutS0aSK5RlinJfn7vFeOaZr2lgLCmlX6jov7vd+tWpde8NXTIlxO8TxNlfMV1Kn2o1CyPfU1CzkHyXURP++KytZ8U2+hyRCSJphKCQY2FeTL4i06XAi18HHGHkU/zFDMblhJFrbe4VoyD+GKGgSPWdJ8V2OtTiCBJUkwThwK2SRkjPNeHWU9+ZzmSW2jVj80IUlx9e1bqW2mOzNNr2qLu/wCein+lILHqJIPpUTLz04rz1LDTShSLxNKvs+alSwu4z/ofidP++qQWO3ljGDnrVN0HeudA8VR48vU7e4T0ZQa5zxD4i8SafdxCWAL8p+a3cKW/A0ho7ySMetVJEx3rh9J8d6hJd+Xe2V7MmwnCxoG/MVtnxhpDjE/2m3P/AE1hP9KBs1JAcHmrFtNJKpVsFcde9YJ8S6LLxHqttn0Ztv8AOtrS5op7QSRSpIpY/MjZFeXmsYujdrqdeDb57FcH5zQ4zikH32+tS7eBmvm+p7CGu/kqretZuo3eJLHqP9KX+tW9YuobGzSWeRY13YyxxmucuNUtL57JbeZJCtymQOor6bLJf7OjxsWv3jN2W544aqUs8jHg8VI/zCoxHXfc5rER3MOTVO+E0VpK8ZwwXitZIBile0EilT0NK4WOU09dS1VwJJJY7VDyScFj7V1SGUKBuyB2IzT0tRGuBUoiNPmFYizjrFGx/wB3FI04TpGV/wB2RhUvlmo3j+XpRcLDV1OZCf3twv8AwPd/Opk1dv4pWP8AvRCqJTnoaaEyehp87QcqNhdSR8cW7fUMtSLcBuiKP9yf/EVlJGMU8xDGapTZPKjZSYj/AJ7fQhHpLqdZbOdBHhvLJ3GLbXNaZcPeQSu+AUlZBt9q1bcuI7hSxI8l+Pwrqws/30TGtH3Gc/4dktv+ErlQG43C3kVlmJC7vMP3M9q6JzDqOvC3+YWtidzcj5pOw/CuY028mttUvb97pbiC1ieFEC4KO0h2xn1PetqzFxa2sMbNG8jOWlY92JzXTi5qjeb3eiIpR57ROnCf885pKUPcKQDMcHj5q5d7+aFYybbdul2/IenvTE1m83vGI5Aiz7ep4X8a8f2qOvlOnimfDKu3a2c89fevP5nmt/ENgzW6QyBoygT/AJaDJw31rqrTV55LvyHBwziEHjAGTXN/2Wr+KNPtre6ExmkRiXVgIySflP8A9avXwMl7GX9dDkrL30egtr1yyyROrcg8N0NY+rTajqkEFssMYWE7RFHkrgq33vXnFa2r6VNpqeZeRqYGbAaJmYKawb2aWGytreEv5ErZKnv86jOO/wB6uKetCXe5vH+IjrIJlhs40J3uqgYX7o49elI9y7NlpNo9EP8AWqlrDLPb2yq/AjHydDnAq5AkEbbeZH9c8V5VOLaVzsk1cRGdV2QRADqWIqZLaWZj5jMTnp6Us8zxx4hRR9B0qrbXUUt2EnuSxPUJz6VsoxRndlq5f7LcbIrd3C/ex1qSC6jQGXyJEfuvc561QaxihkfE5kBbOcYPepFuDCFKO7FQQvzcDpWUqii7s0jSlPY0fNtpZA8pfPQE1RunsOBDaqsgI+cHmqjykth279B9aYpPARNo46/WuepjdLRR0wwfWRMjhFGxFUccnk45qPeG6ZkPH06UMoUB5W9Opx61Sl1i1hVQh8wkqBjheQa5JVKkzqjTjDZF1FkduTtHGdvXpTJLi0tGXzZEViVHqSa51fEF3eyIkMThCsMmI1/hZsHmsqKRY5A93MnmBYdyJ+8YfvjjPb0pxpPqTKtBdTqYNeiu5WS2jLbVjYNJ3/ebOn1rU8RLOuizsJQHMMmABwpC1xejXNnum2QmFUh3NI8mThbnBz26811Go6nBLBKLRpZHWF28wL8vCk/j0PSuiNKThLlVzL2kW03ocp9mvpL5nmkOxbn5TK+PkMPb159KgYLbaWhJnuHFtBuEJ2KcP1BPJ/8ArVZkTzbtZ5pPJBuI2Uz/AClsxngDqetZDvbPpCxqLi8BsIuUfyUYed1DH5v/ANVVTi+VXMa7XO7GlJqskdz5UarGzXVwmyJcsSI92c8ms+eDUbu0e5nMVmstrat5kpw+8SfMCB83StGIXiXbQW8ccaSXspcQLy2YupPXNNt7a/Wzf7SVt82cOTNyd3mc/KOelaJpGO4yCDTLa8iISS6kOpXLIznywjsBkYHJ4pY7wPp8cdms9uracXSK1HKjfjjvVl5rZLqFXgkldtQlCM6+WFO0du9Z/wDaRk0eK2ijEUTaa8qxW5KkYcjA70r3sFjQezhhld5bzyRJe28irImTkJ0wO598VDDHYi+sfJmWdxPcbPMPljPcbepx9aYdORZp3nZrRXvLWRWlkHz4T+EdahtTpqanYqbyeeQ3dz5Q8vYjNxlT34oaAeH1JrHZbeUinT5CqWsn8e44wetd/wCCvDVyJv7V1EsY3ghEMD84dVGXP41z/gXRptZe0kiEEWjpbkOYQdztvb5Q55+tevIoRQoHAGBXbhqP2pIwqz6IXAzS0UV3mAE4HXiuc1S++1SeVEf3Snr/AHjVzWb/AMiP7Oh+dx8xHYVidQMjFACBcEVMKjVfWn7sCmMGI65qPOR7UMeaVASwAFIB6KWPtVmGDzzljtgT7zetLBbmZvLTgdXaoNRu0ZPslv8A6peGP96mBDfXv2hvLiG2BOg9ap7u5pcY603GTQA9eacab0HFKDjrSGUtUGbZfTdVHRZ4o7EwyPiPzZpZf9xcH/P0q5qjf6OMf3q5azcy30lgW2m9gureI/7eAwoEzy3xT401TxLqks8lzJHaq3+j28bkIi9uPX1Nb/gLx3e2mpRabqdzJcWM7bFMrbmhbsQfT2rzxkeKRoXBDodjD0I4NWrCN2uo9gO7cMUCPp8yCNXdxyvG31bsPzrgPG/xCfw5qLaZpsMU1+ozcTygkRk8hVX6f0rpr+7e3awWXjzLqJXz6/8A668M8alx421oSff+1v8Al2/TFCGz0Hwp8UH1K+isNaihjaVtsd1GNuD6MK9IZG3FOM18tRg+YOSDnqK+iINWaTwpZXr4EklvGr8Y5+7SaC5JrviDTNCtVuNTnKRsdsSKm+SX6D0qhovjfQ9cuBbW00kc56JMu0t9DnmvL/iTeyXPjCaMsfLto0iRT+Z/n+lctaTyQTpJExV1bcpHY0coXPpzcOO+Kq3NjZ3bMJoQ4H3uOPxqnpGsi88O22qS4EjRbmX/AGun864H4m+I7mK5Xw/bSlbcIJLgjq7HoP61KjcpysenWVnZ28IazEXl56x4x+lUNeGVP+6P514j4b8SXnh3U47i3ctC3EsJOVkX0r2rUbhLuxjuYWDRzQq6H2PNNRswcrou6x4dtdYVXcFZlwySKcFT6g0mnaXqNuB9o1SS4QcDcFz+YpuuazbaVptxfXR/0S1VQyr96WQgYT+VeaQ/FjUv7SV5rO0Flu5ijQ7lX2bNLlYcx7E0YK7TzxXH3nh280u8ubrS4457e74uLOX7kg/ofeui0rVbbWdLg1C2bMUy5APVT3B9xSahrNvpttNc3Eyw28H+slYZyf7qjuaVn0KvEydG8KabFdJeJohs3XlVkl3hD/sjJ/Wt3XNJj1bSJbNurD5T6Gua0f4laPqmoC1BngdziMzoFVz6ZB4rt0/eDKgnNJ3QlY8e1fSY9WWO01ljZ6jbDZFdsPklQdm9DWz4R8EpZTrfSOkxXiNkGUHvnua7q/n02KNpr5YfIjOHmlICKfTJ6mp7bUrK+t0exuIZIFGFMRBUflT5pAlE4rxPG2m6rbaqY2e1MbQXKj/nm3WvNtR8E3VpdCSwD32myfNDPEN3/ASB0xXvVxbRX8TQSqGVh0rCsPDFjpdzIba+mjjb78CS/KxpqYOJz/hHw5Nouj3E9ygSa42/J3VM96jtpY4tWa1uyFt9SgltCx6Bixx/Ou0vsJYyKnTiuefRYta0R4pMqyzyFWHVTnrT59BOOtjxO80a607Urixuk2TQMQ/v7j2r03wRplzpng3U7tkeNrsr5AP8SgH5q3I9Kmv/ACYte022v3h4S8DGNyP9oVvSQgwCFEVI0XaqL0UVMpqwRg7nkXxE3XkGgaqoJjmtPIY/3ZEbp+tc1pUMktzEsakyM424+ten3Vglvb3ej6jay3Gj3UnmI8PMls/qB3HFT+G/CGladdx38N414YuY9ybQp9TT5lYXK7m1d6jKZdQsUY+d9glMf+9trwIEkD1r3DWRcafqNvq1unmtAx8xAPvIeori7zwDc3M7Xuh4vtOmbdH5bDfGT/CwPpTi0wkjc+G8jv4dv4WzshuEZPbcpz/IV1hPHvWX4a0V9B0U2spBuJpPMlCnO3AwFrU61lPc1hsNBqC36zj3H8qsFcH2qtbf8fM6/wC7/WmtmD3RKeKaehI61IeMUw8VBQ0dKcrUzGDuHSnDk0XAeTV/Tpt1zFEQC24Yz9az+vvSozRyq6HDKcis61JVYNM0pVHB6Ggqz+fc4uCi+a/CYXvSTwRvcHziWwi9TntSQmJg8s8yJvYnlsVNNJbrPlS8nyLwi+1fOThKD5We7CSdnEikSJBbBY+NrY/OpWD/AGM7Itp8wdqWW4wICluclWxvb3oe5uTaEjy0PmDG1e1Z2H7zSJEguGhl3HA2Gkt7VEeMySjduHeoMyyRTebM7ZjPB4qvbPax3EKtKgcsMAtyTRZlOMrMsB7RJGy+45OQqk1JcXMKTLthZ/kXGTisKbXtLt5JFM+9wxyFFJqWvRwGN47dpAYEfltuARmtIUpydooJKMbOTNyW8ka1RlRE/eYxjPb3pIri4kSQNIceW2AOK5+LUtV1bQre50+2BaWdwmFLAqo6/nUNlD4kM12L+KOJBaybC8ygbscZA5rVYWo02zF16KTXU2dyICzyAH3NJeXMMd5MGbJB5rkJGltCovdds4uR8lraySt+eAKg8S6roUev38N4NWuZVlIMaTrFGPyBNbRwS5rNmcsdFO8UdnLqEC2Eb7kVTKw+Zsc4H+NOsLz7RK6x/NiJz8i5/hriX122svCtlcadptpGrXkoRbrdNghV+b5u9WfD/jDWtUvbqG5uB5EdhcOqRKqoCEJHArdYSKi3Y5pY2b0Om8rUJM/6NJGvYyyKn6Zqprtpey3MCLqNjbR/Z4958tpXzjnHbFcCviy4HM2WbuTW14q1r7Pe2sYysjWEDhgemUzXUsMlJI53iqju7mmllaWGg60Xn1K/DJFv2xpDn5/4OW/HNcp/bWip8p8LTsR3kvZtx+uMVqaPrkz+HNcmkdWMRgAJHJy5rL/4SmL+KzBbud9bUaMXKSM5VZNJtnq22t/w+wW1lBZR8/TPPSsE80cV6rVzx4yszuh04rjddjH9rO5BBGP5VEjuvRmA/wB6svWprzKCFXk39W6mo5bGnPcsqyyA7TWfqi7Wsf8Ar5T+tXrK3eC2UOfm71T1UDNpn/n5SgLk720M64lijkA6b1zTo4UjUIi7VHRRT1p460JXJudXZWcJsIN8SMdn92s7XvDmj32mz/adMtJSq5BMYBB/CrFprdtFbxwukgKr1xmnXeq2lxYzRrJh2XAyvWp5dTXmVjzKbwF4elbmw2/7kjCqMnw20Y/ce6jP+zJ/9au520m2q5UZ88jz1/hwIz/o+sXcfpUZ8F67Af8AR/ETH2kVq9FK7e1MIyTxS5B+0kedtpHjC1+5qNpMe25f8RUDy+MoD8+m28/+5j/GvRJUBx0qDYN1Hs0V7WRwH9t+Ibf/AF2gTD3jzVafxXKSDd6beqR/eJOPzr0gpn1qOWIFfuj8aj2ZSrM810zxVZaZctNDLdRu3/PQbsCtlfH1vKPnuoG9pIa6Z7G2lHz28TH3jFZ9zoOmSL8+n259/LFL2ZXtTmJtdjuJGKXNoQf4TEhH6ivSPAzK/hqJh5fMr/6sAL1HpXCXHhPSHY/6GF/3WIr0DwVYxWHh6K3hBCLK/U564ryM4g1Q+Z24GalUNBU/en61aCfJUKj94frVsfdr5ho9tHFfExHbQLQIAf8ASec9OhrzjS7i5g1O1EUY3NIOSSF4z1r1bx5Z313ocC6e8aSrPlvM6YxXnQs/FEHBtrOUDpjbX02UxvhkePjJJVWdZBf6kwH+ixSDuUlq3FfXmzdLp8gP+ya461m1uO6SG40uOJZDgSBuM4zW/FLfxAFrfcPaU16DgjlTubaaooIEltMh91qddVsycMWQ/wC0tY0WqSrw9pcqfVWBqwdftrWJBdNJGD03w5FTyjuaU2r2UcRZJFduyjrUyTgEebhAf4s9KyJdS0rUIcieHHZwmP6VN/aMV0jRTXMEsf8AsEIx/HNJwY7o3NqMODmo5I8A+lZKW9nMMI1wp/2ZQai1DTr82eLC5k8z0enyMVzTEW4npS+T7VzOkjXUuTFdtsKryWTj862UfUh0kgk/Gpsx6GisOR0pHhyMdqrC41IDm2Vv900v9o3CEb7OQfQU9hGb4atZEjuyWXyzdS7UC89fWuhiiys4Rcs0TAAd6w9I1GK3tZlIMga4dt0anjPbmtaDULe6WeOPcG8hz0x2rpwj/fxMqy9xmLbxiTWhYKoMdkWmuSAOZ2ztDe4Ga1TGv7ng8P61yfhO8msPG+oCWJFSVnIct8rruIw39PSvR7zTo1tlvrOTda8blb70Ps3t71tmUJTm5IjDSSjys5O601LlY/mkXbNv4qKzt0iF6kc5I+1E4Ofl46VuBN6j7p+aqkEO1r0mHA+0ds8/KK8g7DU8O6Pd6nqLMjAQwyBpHPTvx9ajTQpW1q3vTeztJZ4MZcAjCn7v613HhG3aDRSx2kSyM6gDnHvWHctNHJKJLYOGPBBwVrsjOVOmuVmcYxnJ3RH4j8SanaNFbHT0u4LhM+YDjq2MFT6dazNe2bdNW3fY2F8xmYAffH/1+K2ZdEkuESdVZztKup421iDTF1AWkkjNAqHo/wB4gMhGPyolUvQbYlC1WyNzSsNp0WHG/wApRuH0GcUyKNo50aXdx/DSW221gihiVmSNVUE98ACkacldue3Rfp6/hXmzxMIKx2wws5O7LV2UnAR2Mar0Ud/wqoPKhA8pBGOxPXtSfOx4+X9TUMktvApeaRRjnk1xVMVKex108LGO+pMX8wg/M545PSkKsyfMxAx247Cs2bXI1fbDGS25VyfUuV/nWPfalcSQHzpkt90ZID8f8syfu9ayUZTeprKUYHSvd20GfnDH/Z/3qyJ/Eqm48iFfmwrYQbmxv2VkPOBFKwYyMGc/Odi8PGeg/CoT/akrErtEI4/d4jTif/4mtVRS3OeWJ/lRcmvZHMX2m48mTdGSjNvbPmMuMDpniqcEkBhtSm6RswfvJ+/zuAQo6GntBDEse9fNIZflhA4/fnB3H606J2h8kQ2Plr+7A+Tew/esOv69K3UEjmlUlLdkVtb3s8EEz3AEPkQN/wA80yJecDp0p1vbJAjlp/tGI1wsRwP9eSDk/XFPFqFt45btniJgXLTOQcib0601W06ETfvJZVCNnc20f6/8+GqtzMnQTSWd9EtnEifZ5cKvzEkTDv1561vXH2uaE7lEReFgiRfeD+U2P0ArEWVprW9CyxpGIrkYSLADB171rzRl5Y0a4MszLtOG6gxvg/0/CvXyxfuqvocmJdpxOZjRlmt21UwxKs9sYtx/eM3lkEHHJbd61D52ipo0bIks0AshtLPtVoxN6Dvu/lU9lZeXGsdxcwKwks2MZfc4ZVIx7E/WqNwI9L0ppLXTzKYbKUD7U4KEednaUHufWuCaTk0dK01NtJmudQWGK5kUfatrxxRcNmLuR/OqZspYLKbz9Vt4GNlGD5uQwYS/eIH5VJDf3V5qkcCWm9FuoFkEKlAivDuy2OvpWYtlaHSp1u9tozacqPHHL5rqBPnoP8axacdy4rm2NprkRXUSxMblm1GQZMyoqHA429T9KzTqurvZxCK1RGbTJZFjgjHDiQ4UEc0kiWC6hCUtJJZDrDHdNJgLJtHIVe31qOGa8udOt7e2zGG06Zkitl2jcHOMY5pKS0NY0W9ydre4ee4N5DaW+by0dGlYgt+754GTuz0q3oujWupa7YxW0NxPLHeXMnmL8sceSNxYdat2HgzWL6WZzbi3WSe1lWSc43BE+bjr1r0/wz4di8PWEkQYSTSyvLJJjuxzge3SumjRlUd3ojKrKEFZasu6PpVpoelwadYxCK3hXaqj9TWhRRXppW0OAKr3t0tnbNK3J6KPU1YJrltUuvtt3hT+6j4X396YFUl5JDJKcuxyTindcelGaUDJoGDEAdeKjLGlc8e9RANwT1PagCRRk1bhiZ3VE5dqgiXaPc9q0XcababiAbh+MHtQBBfXS20RtLZvm/5aOKyiePYUEszEsTuPU00jdkdqLjsIGLEntTh60gxS7ugHegBx4HFMbcBUF1dW1lay3l7dR2llCcSTy9M+g9ay9P8AHPhLUrtbWz1oLMxwguEKBz7EihiNDUV3WoPP3hXLy6ZcXulzzWEgjvrO786B/RtorrdRDrbtG4G4Gs7QDk36c/65en0oA861nw1p/iy8a+sZotL1lv8Aj80+6O0M3d0PvWl4X+H6affxXV/cW8zxfNHBE27J9WNd1caVY6g2+S1SZV6uVG0fjVy3s7azjHlQrGpHGBxU3ZVkY/iTTnvNGkSJibiMiSM/7QOa828WaHL4sUeItJh33uBHqVov31kH8WPpXsTfOO2Kwb3w1bNf/b7aeW0ue7wvsLfX1/Gi4OJ5Bovg/U72ZVNnJGM/O8i4WP3NesavpjL4Tks7YEtDEBF/wGtW202VWDXF5JNjpuwo/IVeeIFCDjHpRe4KJ4Z45sHvza+JLYbre5jWKfAz5ci8fN9a5e0spJ2UKDknjjrXtt14bu7C6ml00xNbXBzNazLujf8AwNTaZ4fhhmE66RbWsg7od2PpxxT5hchntZzaZ4FFuqFZIYxuHvnJFef/ABCQy69BqinMOoWySp9QMEfy/OvbpLZHt2iZfkYYINcBqOkC3t30jUrSe60wvvt5YBmS3P8APFJSBxPKraIyMOOK9tsY5bXwnZRzZ3rbqefz/kaxdB8FaUtxHKl3JeRK2fLMRQf8CJrsNWT/AENx32GnzJsXK7HF+Nrh7rwPcMCT5WpgS/Qj5T+teVdTxXsWr2a2NzL9tRpNI1GBFuNo/wBW2OH/AA4rkH+HuopOr2zxXdm/MdxG4wR71VxWZ1Hwwmlj8P6kjZ2I4dfxU5/kKy/iFevP4Z0LBOyZ5JG92H/6zXfeHdCTTNDW0U5yp3H1J64rh9Z01tU0y40I/JeWEhnsy3/LRT95RUpjs0jzVCdw9a+gfC3iF38GW11cOBNs8oH3Hy5/KvEbTR72S5EItpfOzjy9nNetzaHPp/gNIYsmWH5yR3PU0TCJxfxT1iS78RJYKzC2tIxtTPBY9/5frWH4Q1+bQtchkRm8iQhJo+xX/GtLx7aNdXFprsP7yC6iVZWUcJIOx+o/lWBo+nSXl/bwopZ5HULTsrBfU+h5rqJI0BfbuUsT32DrXiOu/EHWNS1FnsLqSzs1b9zFHgfi3rmvSdXlaDVbK3YkRXFvLAM+pXivCHieCRoJVKvGxRgfUUJIcmz2XwZ4sl8RabcW13t+2QAEsOA656/Wuo0htljIBy7TybR/WvKvhrBKdanmX/VJAQ/4kYruoL949S+yh9u9Z9v+98tHKFzJ1v4mWmmatLY21k94kLlJZnl2gkdQg9umfaur0LWrTxBp6XtmxweHjb70bf3TXzsu7dhwdw4bPrXo/wALrl7e7v42yIDEHI9wf/r1EoaDUz1KU20FrNc3MkVvbQLma4nPyx/4nkfnWfp3iTQtZd7fSdTjmlUZ8qSMxswHdc9a4j4n6vNP4f0KGFiILppJpcHh2B4Feb2F3JZ30NzDIY5omDow7GjkVg53c+hXG/73Q9c1Xj0SCORbmOFInc8ZkEe/6DvV6wngnls3cqDcRicp6fJux+f8q8B17XbvW9bub+5mZmeQ+WM8ImflA/DFSoDcz3h42iZkdCrDqDTAM1zPw/1ubWdCe2u5XkuLIrtd+SYj6nvim+OPFbaFp1qmnELeXi7xIwDeXH/jyKlQuyufQ6sDIIqjbnF5OP8AZX+tcD4T8fX0+qRWGqTCaOY7ElIAZG7Z9RXf2/8AyEJ/9wfzquWyFzXZOw5ppXAqUio2rFmo0d89Kbt5pwGTQBk4pIYi8U4jnimZ5PrUgbAqriJIJBG3zDPrUl3fC3lZvJkfEange2aq9SauxXzpYTxfLlY2KZXPbpXBjKHOudHbhcS4e6zFvvEk32WwmtLUyGdJNo5OMNjtSifXrrQppHt2tpjcIE3rs+TByfmrE1bWb9tH0p1upIjLHLu8n92Dh8dFxUdpM83hS5eV3kP2+P5nbcfumvN9mkjt9tK2ho2CXLrqH23WLX/j0kBVJvMKdPmIX0qhog0qPxDYKNQu7qUzpt2QbEznuWOcVn6GQF1b/rwl4/Kq/hznxVpn/XzH/wChCtVFakSqyfU1pLzS47qbydK3yB2y1xOWyc+gxWtrPiOysLK0t2l+xXM9vGVkht1kEeEzyGHI6Aelc3Ha3Fzf3AgglkJkf7iE962vEXhuXUtOsmDrazwWscZ8/CIflG7LHoRj9a6MFy+2945MU3yaGDLres33wshuL65lZ5759smcMUAHGR2zXUfDCBHv7R5gZVaAqyPyD19awxpsI+HNnYahq+nQJDdykTRMZwuQDs+Tqa6PwWbTTWjms7uW8EVuSg8ny1PqeTmvdhUpLDzSXc8ySlzq56bP4c0a9OW02NO+Ubb/AOg1yPiLwZoUqz3NxLieRDK25V2p7sx6Co9V+IyadGgk2rNIQqQg5PJ71zL6j418R+J9R0jRIrdbW2nZGlaEbU56szVz3bmtC0rLcy9U8P211oNnZ6S011Ct3MVkhiYgnCZwPSptC8C6ppF3eSzGLbNp88a5lGQWTAyO1d5b+FvEMcdhbTzC5lLM1xcNJhYwccBR9K6GDwhFaqWkuCS/yHYuODxWU4SlFpF+0SaPB5fAU9om6/1i2iA/hhglnP6ACrfixPD1vq1v/aI1W5kSyt1C2ypEpURjBJbJB/CvoCLwzpsIOUlk7/O5Nea+MFjtNN8R3z2EcphSBYUmXhcsF49/8KfspOauwVVWehwNlq2kReEtbn07QgscctuGjvZ2m8zJbGRx09qxP+E4vhwmkaGq9h/ZsZx+dbPhXS7nXvDPimCLyf8ARjFM3mHHyoHJ+73rn10G7mUSRaVqDRtypEDEfyohSs5epXPdI9uz7UZpoNGa9U8geDTj0qMNilDcUihTWRq44tj/ANPMf861C2TWXrPMVv8A9fMf/oVSUi4uM1IBUScdeakFNbCYp4en5yKjPDUbiKBWH5zSZpoNGe9AC+/amd6XNMJBNMBjkdKiAyalbn/GmYxSAaRikZcrUpGRTTxSKINnfNRPH8p4qyaYwytK4GXNGPSum8NrjTAP+mjVhSqOa6LQB/xL/wDgZry85X+z/NHblz/fE+MSH61YQfLUJH7w/Wpl6V8jJn0ZQ1tQbBfaQVzpG4iuj1s/6En/AF0/pXP4xX1OTf7qjwMe/wB8ySw02PUL6IOD+6ywx9MV06+G7Rl+8wrJ8PD/AImD/wC4a65O38675rUxhsY3/CKQOTtk/MVC/hBzwjoa6mJQADVhRk5NZ8pVziW8FTKm0Rxke1UpfBM3e0Uj6CvSVp3frVcgcx5S/hGWI5+yyKf9nNQT6BfiPbDdXlu2fvLk/oa9dpcDuo/KjlFzHjEWm69A4D6vJMgHSSJc1YWHU424kjYe8Yr16S2t5Fy0KH8KiGl2T8NbR/lRZjueTz3mqW8ReOxt7hh/CGKE06DVL54Q0mmmF/7vm5r1STw9pso5gA+lR/8ACKacegYfjRaQXR5el68GQlrJGrHcQmCCauWl9HMZkCOsnkP96MDt6138ng2zf7srj8KyNZ8NR6Vp010ku75duMetdGFTVaNzKs1yM8gtBpqeKrppLuSHiTzRLwm/ecAe2DXfeHtZttOgjt/tcNzCV8tlaQEOvoa53QrKG48XmFb2O5MkMv7plH7lvMI2/wBfxrrX8HzQqVFvGdpyQMU8bOUK7aWhVGKlTsGpaFa28aXdpNN9jkfKnP3G/umsmK0dTN/pjANLuX5c5GO/610dnbXllDJb3tm09nIu2WIjhk/+tWXN4NBul+xTYs5mzHMZWXb7HHcVy1KSa54FwnZ8sjW0jUNQOn3Nol2qRQo0gkjU7/Yc9s1x0WoXC+KbBE1W5urOV4xcOTxHnOVP+NdxbeHI/D1jdz/b5riSVPJCs2V9f6Vw1rcS3E8xeKKHaI0Aj/iUA/qa3UvYYaU2r2NKFH29dQTseoajq8FtpIkglSaTcBiNgT9axTuEUBJV22/eHTqK5aNnTCq749NxrbvLqa3gtVggwCMHccBeV/xzXg18R7akeysF9Wnq73Lhzty74H5VRn1eytTtD72weB9Cf6Gren2y3NnDNO3mNIiswB+XOBXO66vk6z5NtbRqdq4KJnGUf8ua8uFRSlylTqKJPPrF1cPthjEce7G88D7w/oayWbzYy01w8zbDwvT7nqfz6VHO6xXKG9uVDEjC53v9+Pt25P602C6Lw/6LAQhj+WSf73+rf+EdOnrXRCDWr0RzzrN6Iv8Am3AuHESpGQ4+4CW/13OTz61Uez3IJblom3JyVIZm/duD7VZFu7NJ57ZQMxHmEKP9YDkL6/hUX9kWzOGW43k4+U/Ip4lH1/i/St4TTdkc8oPceVxBL5FgrlQ5z989Iz06c/0psttNO7tcCUIN/Mj7RxLkcfT2q/Amq2cM39n/AGEl4yFyzcfu0xz9R+WKoNoOpzTSNI0Sg+cvySbmwXBU/wCTWyT7GdgmWyUgl53Ic9to/wBf7jPWpzO5YLaymMgjKxx5/wCW2DzUlzY31pcswtLuWJvMbcN0mCZVIG0cfrUU1zfnzIksZGUMxLTLsTiYD2HTJoV1uhWQrq8UQaW+hDeUwZm+Zv8AWj+nFRXEyRRXBjht7jCS/wCuYIP9auQQP8acLWGSIRzLGyBZ1OyP/pqGHPHpUsdrYTRyrDbbWcyfO/ON7hjwfcDtWsKU57IlyiupEZ52tL5Xs0MIW7yIxhSV2kZx3PNaCG2eS0jhRsFlGSMDBVgR/wB9VRuopFJy7yKd+dxz8r4yMdMcelTtuaJVJJAGRk9K9bBRlQhJS+0clf8AeSTXQyBo6hIxNK6sotWIhTzDmNj1pG0opE8cNgJf3FwgN1L13Pu27Rxg1v2ml390w+zWsjjuxG1fzNbC6Db2sW7VL+OIn+CI5P51lLDKTu2aqtbocfLDffbreWW5WO3W4t3KI20FFjw64HXn1o0Twhqd/ZNbvGsYay8gyhTt3edvzzjtXUS65oenMv2CzFzKv/LST5jWNqXjPULliom8sHokXJo+qQ5bB7eSlzI208J6RZS+dqd+N63P2lUV/utgD+lA8R6JoqCHSNPQmMbUbb0HXrXL22mazqr747SV1P8AHNwK6bTPh1PcOp1G92qescVXDD04bImdact2dD4Tn1DW5X1S8Oy2UkQxDox9fwrsB0qC0tIbG0itbeMRwxLtRR2FT1sZBRRTJJEijaRzhVGSaAKGr3otrfylbEsnT2Fc8vSi5uGurp52OBnge3amqdwBoHYeOKUnHQ008DPf0phO40ABBPQ09OTg9qaoyee1T20PnTYOdq8sfQUAXLOFEVrqY4RPu57+9Zl3cvdTtI+R/dHoKsahdeZJ9njyscXBX3/+tVPbnrQBD1bA61Q1rW7PQbD7TdvgFtqKOrt6CtE8HPevO/iedjaU0gLRfvQB6t8v9KQzY0nxxbalceTLAYM/dbdmuiu7v7NaS3AP+rQsD+FeMaXDd3cwEMTkjvXrU9pM/h5rab/Wtb7fzWmB5r8XdWnEml6LHKfs0Vus8i5/1kh7n8m/OvMVkIbOec5r0L4i2supaNo3iGNdwEH2O7A6xyoe/wCv6V55FGXcAdaCT3fwJ4ml8R+FZIbsl77T9qPKesiH7pPvxitjTpxFNdQgkPPMiLg8/dJP6CuQ+GOnT2uiarfSRFIrjZFEf7+08kfnWubo23iKzduIvtaI/tuQgfrTA8/8deMbzVdXnsrS4kg0u1cxRwxttDFeCzY681X8KeONS0K/jSW4kuLBziWCViwA/vLnoRWHr1nNp+v39pOCHS4k69wWJB/I1UtomkkCj1osFz6ghljeITI4eHbvDD+JcZ/lXGeOfG3/AAjIitreCKbUpl3nzPmSFc8fU1aguZbLwFZs+dywRb/pkf0ry/4jmQeNbsvkq6RtGfVdg/rmkkNs3tE+LN8t2sesQwzWrthpYk2PGPUAcH6V6wkqTRI8TiRHAZGU5DA8g18vxqzMMV7f4Nv5E+HySyNloBKit7DpSaGmdNquuadomnnUdSneO3D7IljXLzt3C+3/AOusDTPijoGo3gtpLe4sAxwkshDp/wAC9K434rX0j6npVnvP2eOwSVR2y55/9BFefK3zDHWi2glI+oXZkfa33h+tQXAiKs8nkxxx8ySyuEVPxNc34M1d7zwZbTz8vZ7oWJ/iC4I/Q4rlPiprNwU0rS1lYQm3+0y4P33JOCf/AB786SiU5Hoenatot5MYtPv7S4kUcxxvyfoD1/Cl1na0B290NfOdrcSw3Ec0LtHIjbkYcEGvdrDVX1zwta3z8SujJLj++OtHLZhzXR0Atbe80qFZ1DL5K5z6YrPsPD2k2mTCJVQnhNzBB+HSq99rEWneHZryTaUs7dWCn+OTHAP6fnXjE/i/Xpr77U2qXKyZyAkhVV9gvTFLlBTPoxVQJgAY7Vh6v4Zg1MrOjvBcqcpKnVTWZ4E8UP4g0lhcYF1AQsmON3o2O1auu61FpOlXmoTLuhtsKqFsedIe3+felZlOSsO07RriJg13cRytjG5YtrN9TW6YIprdoGUbCu3FeO2vxc1X+0A91Z2b2Z4MEa7SB7N616vpt/Bf2lvc2cvmQ3A3Ifr2NTKLQRaZxtz4VvLCSWG2t47/AE64bMlpKeAfVfQ1o6H4UtrE+d/Z/wBll6HdJvb6D0FaHiPxNZ+HLRbm7dlVjiKOMAvMfx6CsPQfiVpev362kkL2U8hxH5jAqx9M+tNc1g900vFOjvqNirW7FLiEiSNvQivPNQ0Kz12/8+736bqLYEyGItFN/tKR39a9e3jaWc4CjLZ7Cs++1XSdIVJtTuYLIS/6sPy7e+0U02EkjK0Pw9BoukNHCMnG5pCuGb/6wrF1O1uVP9o2gLS2dwW2j+JcDiu5+1W97phntLiKeB0O2SJsqaz9IVC16rrkGQcf8Bp3dibK+h5TqvhJ9Svn1PR/39pcNvaIcPC56qRXZeEvDTaTp8zTKPtE4+YD+AeldLD4c06a6e6htWL5+Z0yA34jrWiUWFfL2bGHb0qXN2KUFc8x1HRX8QeHLnSEz/aujzPNbRHrNE3UD9a4jSdBvL+9jtIoH+0O+3YVxt57+le16joUN5dR3sUjW93HzHPGcMv41etluQm25ullYjlliCE/XFNT0E4amHeypo+t6K7NizjxayHtjbtzXjWtaPc6Tr13p88ZV4ZDj/aXsw9iMV71qul2+p2L20mCrVjjSHu0htta0231JYF2R3Zcxy7ewb1ojPuDgc58PrOSLQdUu1Xb8nkof7x+9XNeNjJd6dol9glFhkgZvRw3f/PavZEtoYLVLW2t47e3QfLEg4FcXqehCD7TZ3Vs9xpd0/m/uvvwSf3l9qFNXBwaR5do1tJNqtssefM8wba93sznUpAepi/9mrntA8I2NjcxXqGSVkOULps/HFdDbjbq7/8AXLH6027glqWn4aoSeamI3N6CmtGAa52bEWeeKaTTyvNN6dakqw09acKZ0NKDg0waH0pXchU9GGDS9aAavdWJvZnM63o6QafpkM9/a26xLLzKxyQX4wADS20WlQ+FLnN/PPCLyMu8MG07tpwBuI/OrXirTTf6Z9ojBaa2ycDuvesG0bHga99Pt0f/AKC1eTiKXIzupT5kXtHudJT+0vs1lcPtsZCxuJhhhxxhR/Wo9B1pJ/EWnwQaTp1srToCyRl36/3mJqh4fR3OqqiMxbT5QMDr0qz4X0LVE8Q6fcPYXCRJcIWaRNgxn3rNpJO5oydtc1U3M0S38yRh2AVDsHX2rP8AHkyPNpZZt8gsV3hiSSSAd1aj6LLHcTPNeWMQZmOGuAT19FzTvEmh6TfXFrc3+rSQJBZRxnyoS27jqCcda2y+UVW1OfFaw0MOytRqXwxsLS1RvtC30oJJATovJ/StfStQg02xv7O2lWa6tdOlkZx93ioLnUdCs/CdlHptnfT2bXUsar5ohZyFTJYgHit/4c2mk3+qyQjQra2WWLazCV5S6n+Eljj9K9b21SVKUYx0ucHKoyTbMPwV8O9X8YXsesarLJbWAbcJG+/Jg9EB7e9e/wCl2lhp9uy2sccKyOZJMcbnPJJ9aljtoYkChcKowADgAfSiDyUiTCoDt9KfM3IjSw5biMTvg7sgfd59aJ5iUXbE5O4deO9MFzEtw+XH3R/Wo576E+WA44cUr6PULalvdMR9xFH+9mvPPG93a2OhavcX9rHcW4kj3Iykhzu+XIyP4gK7W61e3tYS5O7HYV5l8Srxrrwzc20aMHuJkbO0nplwBjr6VMmnNJspXszE8B32ta1pWux6Pa6VZTlo4QyReWightzccsfTNdAngbxMyKZPHGpByOQi/KPp81Ufgxp15bxazLeWdxbGWWIp58TIW4bOMivWNpHGKz5UpPlL5mkjzcKwx83P0pCH9RT+lBr1DzSMs4/hB/GgSt3U1IeaMLg5Bz7UDIjJ7N+VZ+ryBbeItni4j/8AQhWiRg1m6wc2qf8AXaP/ANDFJblLYuCQdc1IG75GKYg4p+0Y6UIQBqTdmlCLjmk8pcHg59qLCuKDRn1pnl47mkKHj5jTC6Hk5FNJ5FN2t/epDvHPBoDcceooxUeW9P1pctn7ppXGhxpp5NBPsRTd3WpGKRio2p5dR3qF3GOooAhcZzW/oX/Hgf8AfNc6zZro9AObEn/bNebnP+7fNHZl38Yt4w5+tSL0qM8SN65p464r42TPpCjrQ/0SP03/ANKwT1rf1viyX/roK54tmvq8l/3VHgY/+MzV8PDOpN/uGuyRMKBXG+HedSP+4a7VBheK9Ce5hDYmReBU6dKiQcCp1FSimPUVJtyKYvUZqQc1YCYxQKfim7c0CDAxT07cU0elOQ0rAydRUiimL0qQcYqkIdisHxf/AMi9P+Fb1YPjAf8AFOz/AFFb4f8AiozqfCzxrR4J9K8bWOo3UkRtpzLKpXAKJ5pU7vXmvXrnV9PXe+9FjPHmP8or59J3+JHRUeNvNf8Aedm+c9Kv3hvN7ebPJIPVjmscwxMKdW0juweAqVqfNFnomr/E/RLFjDaXEd1L0OCQg/xrK0Txhba1NNYSukRm+ZUibr7r/tCuDfDQtE8cTq396ME/nVrw3oq33iTT7ZFADzKMrwVGcnn6ZrmpY2PNY3q5dKMLs9wmsI9N8OQ25feVhyXbqXPU15Popw18SpYCcdf4eGr07xZesLm2t/uq7cA/xYzXktjdW+nNexTylTNKWUjkHg12VoOeDmo9zDAzUMVFyfQ2U1rTS6qLsAk9xW/qMttIttuuo3CnG4nOTla8f0ywVL6EzzSH94DtH1r1G/KrbQme3ZSJchI8Y6p3+teWsDTnh3KL2Z318dVjUSmjWi1zT9K0WBnl3lYVKxr95hgflwa5fUb7VtVvhIYTaQMwUlm2hl/er369FPHrWvoFzYwXLRXuliFuCsrLuRRtHUnp0xUfiVYX1mORp1AIi2qoyT9/8Oa8ZQjQm1Fa9yG3U1Ziw2Vnbsrs7XExILEcAH913P8Aug1pRNMy/wCjxhDt/wCWY5+6/c89qpwyQxonlQ5O0cynOflj7flV+SOdl/ft5SdMOdg/5aDp+Xas5ycnqUklsRNGgmmM0yrndkD52+8hrUiZd42r6fePu1YrtbRPIzM8p2yE7BtXoh61btNUaS7MMKFz5mDsXoPNZTyfTFVSpub0NqdaNL4jSdHkjG/lSOc4x92pkiiAJAZvvfdX+tU4nfyke4ILlVygOdp24IJ+vpVe7unkARjhf7q8CvRoZfUestETWzCil7quzYfUBAGaCTMhJ/1bnj8TVa61i7lhK+e4U9UBxVIL8gyccdaie5t7Xa1xNGsbf3uor1qWHhT2PHq15VHdlpfm8p8Z9Wz0qf8As68vJAbOORnHUKvB+tUW8X6FaFBDa/aZP+mjcflVa88faldOsdsVgT+4i/4VvYxudPH4eRVE2q38dpt/5Zocsaim13QNKXbZ2y3cy9JJPm/+tXK2+m69rcpYQTvn+OXha6LTvh3I4D6jeeWO6R8UwM6/8aanersEiwrnhI+TVC20/WtZfMdpMwP8c3f8K7+20nw3ogAjhR5R3b5ia0VvbyZcWdgUj7PJ8oouBytj8PnkAfUbpsd44+BW5BpPh/RFyI4t455+ZqttY3E/N7fHZ3SH5R+dRmfR9MRmUJvXufmY/iaQEn9o3Uy/6DYM6f33+Va3NMhuY4N93IHmfnC9FHoKyNH1MaxdlYVxHGA0jH9BXTUAFFFFABWJr11iNbZDy3L49K2JZFijaRzhVGTXHXU7XckkjNy54x2FA0QgY4pyHDe1NA2gAduKQdfekMlc/KTTAwP1ppJ6HmlAoAmTnAHWtC5b7BZCNT++fkkdf8io9NhALXDkBU6Z6Zqhc3BuZ2f16ewoEQxjrUpPFNBCKBio2elcqwpOaz9V0mz1m1+zXke5N25SPvKfUVceZIojLI+1V74zn2+tYfiPxbpXhOKM6q0st1KN0dlbkbwvTLH8KFqI6PSLbR9JsgyWatcY2hccYHTmobhjdStI77SzbiB/KuW8P/Efw34ju1slS40y7kOIxcsCkh9Aw7108qtExQ8MDgg03caON1OwudKuruazsl1HTrvi806To3+2vvWNa+EfCUt2JoItUTdybORWAT/Z3Y6fjXeST7WkUYxjczMcKo9T+VY0PiLw5cXwt01yxacHhd+AT7HpU3kGhrCNItM8qGNYYo0xHEowFFYc+mLqi6paFijNHGyuOqsOhropRiCRSMcfnWbpHGs3m7oYlP61S2BnD6ro9r4pCJqMq6b4hgXy/wB4PkulHRvf8KZonw7aG8R9QuI9iNny4myZP8BXpFxp1pqMnlPbidh1Gzdtqxb6VFp65S3VAe4XFTdhZEF/YJe6TNaN0kjK/SvMNc0WbxLpccaKf7e0tfJkgJwZ4uxH+fWvYCcr2rF1XQ7K/lWaQNHMn3ZY22uPxFFwseJ6Z4W1ea5VP7PnVs/N5i7Qo9ya9mstEisvDR02L7vlMucfeY9TVi00poMGa8uJh28181plRgKOgocgUUjyfxTp0/iDwpZXsERk1HSN1reRL9/y/wCFsfh+tcFZWbXDrtBOWwAOpNe73+iTpqQ1TS5/s13jD/LuSQejL3qSztZzN501lp6T95YocE+9UpoXIVtJ0Y6X4MWx2lbmWJ5ZVPVXYdPyxXnXjeGW+0TRtXVd3kxGzuP9h1Jxn6817Jt+U5OSetcnqOl3Gm3U89raR3lldf8AHzZyD5WPqPQ0ubUHE8VtoGmlAzgete16BZNpnhC1hY7mZWmORg/MM4qjpnhPRzdiaLSbuAg58u4lDID+fNdZdx4twvTtT5kw5dDhNYdr7w7renjJlWGG5QeqrjP/AKDXlaqWPFe03el3CWtlrFigeeOMxyRHpLHk5WuXPhHTL+8aawv1s93P2O5T5oz6D1pqSFylj4XQTxXd9NyEEar7Zz/+urXjO7k1DwJvUFmh1I+bjsPmrsvDmhw6RYmGJizN8zyHqxrm9VsI9NutRtb/AHjSdTXDyr/ywk7P9Km6uO2h4+ASepr2LwNqVxY+BLiR8ARyv5Td8lQf51zifDS9iRpkv7KZdwEfzYLqf4uld9Z+HltfCb6aufuk59WPenJoUUzzz4nXTz3mmEvujNqWT2yf/rLXDQyOkqMh2spyCO1eh6hpE3iPRRZIudX0wkLEeDNEeuPpXPaR4Sv7y+SA20qPn596EBB3JNNNCse0afqX2ux0ppz892kbPnv8uf514f4t1ibW/E19eTHrIY0X+6i8AV65rkf9kW+l3cCMYrF0DD/Y6H9K8x8ceHn0zxFJNb/vLG9PnW0o5Vs8kfUHNERyNP4ZaxPb6y+lls296hG0/wAMgGVI/lXpGnXAju7iDgGaRFz7Y5rzf4daRLJ4ihux/qrUGWRu3TgfnXS6jfPYa1bXBz5SXUfmeykf/WoEcX448V3+qeIrmCO8kSytJGigiibao2nG7juetdj8OvFN1q9rNpeozGe4tk8yCVuWKd1J744Nea+JtOl0/wAUajbOrfLO5TjqpOQa6n4aWcqa5Jc7GCR28m9u3PAFJrQaep6J4n1aHw/oVzfvEkssfyRROeHkOP8AH9DXmOmfEvWE1JW1B47i1ZsMgjClB/sEVpeNbi41Dwru6m0vyJR6Z6fzrzm3heSQcDikkrDvqfR8DfaVR4TvjYBlI7g9P6VzPiX4hWfhjUP7Nt7FdQukA895JSqITztGO+Kl8P3stjpOgW82QJiqHd1xzt/mK8c15pT4i1Ey58z7VLuz/vmpjEqUme6aNrtt4i0tdQswY8HbPAWyYW/wrTm8m2s5Ly/uorazhXMssnOPQY9a8p+FtzNDq15CxzBJbM7D3XBH9a0PiTrcl34W0yOP/VT3Ury+7LjH8/0oUFcOd2O103xHoGuSNBpOoNJcL0hlj2Mw9V9fpSxD/icH3jP868E0q8ubHUre7tmKzQuHQive5LmKLUVuT8qSwBh/s7tv+NVyi5i2yeXH5kjxxxdN8jhR+tNkR12hhwwyp7GvIvifrM974smslkb7LZhY0jzwDtBJ/X9K0fhnrtw9zNpE7s8DJ5sW452sOoHt/hUSgUp6nopBzzTCKnYAioiK52bkZGDQDzTiM0mKNhkg5FKRTEPNPq0Qx454IyO9YepP/ZOhXwtrGzgjS6i8rEW4MCp+Y7s81tjms/XrKfUtHktYD8+9ZFX+8R/+usMTS9pH0NKU+WRzujeINVuhqaPeSBEsZHVYwECsMYI24qj4buJ7nxTpjTTSSt9pTmRi3etHQNBlgfURNeWSF7KRCBcBymcckL2qTQY9EsNfsIYdYjubtrhB+6t2IJz0ycYrhjT5r27HTOoomVf3FtpjzzXTgybm2w55PNZvjWeW61K2Eknl24soHI/hBKD860msfDtzfTyXNtq9xJ5jZMkyRqee2MnFL4u1bTbG+hEehWdxIllCQbt3cKNowuAQD9a7sO6cZqNNanJUUmry2MuWWP8A4V1Z7OAbybHqRtSu5+GTtHdb1DBki5ypwOnf865w+J9Qi8CW17axWlnI11KgW3t0VQAF6A966nwVqd9esftF480hg3/O2ccr/D0rvjKr9XloranO1D2iPSTf3Dfx4B96Yjyv0Zj7AVdgii8pWCLuKjkipojiNRntXPyScldhdJGZ5cxcYRzxz2p5t5mVR5e0lupbOK0UGZG7nArK1z+0bmGSysrOU748+cPlGc9AfzqXBKL1Kvdla/vtMtonjmvImk6eXGm45rkvEF7ql9DNYabc3FowKOJYHw3QcegHP6Vt2/g3VHhjSYwIF4+bmtlPDQ+0GaWbj+6oocY86Y09Dnvh1p99pyai2oXNxPNM6MDNJuIGDXcqzbRvzu71BBZpa/6rJB9aeQxJ+Y0nu7COBJpvejrR1r1TzRQc8UE0maQ80WGITWZq/NoPaWP/ANDFaRrO1YZsj/vp/wChCkUi4nSpRz1qNOM08HrSQDv4RSUo6UEcmqEJSGlIoJoJsIaaaUjNIaQ0JS470lFIY3qaQrTieaQmgaI2GaryIuOgqy1QOOKkZSZQGPFdJ4d4sWH+3XPuOa6Dw9xaOP8Abrz84/3V/I68u/jF12xM496eG5FYN9qd5BqNwiJGVWQgZX3qA67dpybeM/nXxrpSex9IjZ10E2Ix18wfyNc6QQDz+laL6nJqemSO8IjCTAAg9eDVA96+qydWw9jwcf8AxTQ8OMw1T5gMbD0ruoxXC+HDnVgP9k13aDgV6E9zCGxYQZFSgYqNBipRxUoY8DvT80wcd6UdRmqGSjnGaUimZ6elSAhhQSNHBp60wipEoAmWpBTFFPxVCFrC8X/8i5ccelbuKwvF/wDyLlz+FbUP4sSKnws+etOtReeNktg8iGS4ZSSOF+c9K9PuvhxOxcJqA+UZ+eE/0rlvD2jRXXjayltdQV3VZbmaIjJiKSkbPxBzXtkqyb5fmU/L3FY4+jCpWvJHZhsXUpU7QZ5RP8MdQ3fu722bjPIYVSg8FeIbG9E1k8Qngb5XjlAIPB7+xr2ICXd0T7tVI5jBLeSSIuxSCef9hK41hYNrlN3mFW2p55LPr39rWd34g8tJEQw26oF+csDljj2rz+7067jvkieGRZJpd8abeZFbOMV6pp8ba3d32tzRsbeCN4LTcBhj/E/8gK5G1a3fxjoXkXE1wqyQ+Z5pyY27qvtXvYeMYUXBeZ5NWo5VVOxzh0q/tp42ms7hAGGcxsP6V2t0220X7MnmDzD/AKxNxPy//Wr2JhGVAI9cAivJNQtryeGSOMru3MBtbaB8rdfxxXm06KhQmu9jtr4l1qkbrY3jpdtquiR2t9HvDR7SejDjH8q4/UtOXRb1Y/3l0WlR13PtChpWP6bq6yLU47WxSJB5kqrjjhRWJdzve3BlmVdwAAwOleDQwdeU3zfD5nROtBR03Mixu5riyV4kEC+WuQq7MfIh6/nVwrCSWeXdz/ANx6v/AEYUeVucJGhZz2AqfCWT4KCSYd+qR/4n9K7Y5ZSvdsyeKl0BbO3CLJKuxWUkeb8zOCAvA6fw96ZLcu4kihzHF94oBjOT3Pekcs6szsS57k80zJ8sjOc9q7KWGpUvhRhOrOW7JI8mIAHpRcyAKhwPxqIn/R2JPXFMCtJtDkha6DMhv9QEFu+OZVA4rjZ7LVPEM/l2SPIwOSSflBrstVjEkCrFEZG3Ywq5JrS8O+G9c+zKVtBaRs5ZmmO0/wDfPWgRnaH8Oo7eFJNZvlMh5McR4H412VjBoGlgLBbIz9gFyTV2Hw3aRgPe3Us7+m7Yv+NWmvtO05NsKRxY67VoGPW61W6AFtZrbQno0vy/pT/7PYqTf3zv/sRfIKwL/wAZQw5Eb5Pt1rm73xPfXOdhKL/ec7aQHfm90vTEJRIwfXqfzNYN/wCP7aMkQ4yOpPNeeXOrpKxSW6kuJW/5ZQKWNXtP8N+IdUjzYaI0Ef8Az1vD5f8APmgDWufFeo3+fs0TlT36Csa5vZfOC3V8qu3Aij+Zie1dZpvw0do/+J7q8rjqYLRtqj/gRrrdB8JeHtKnBsNOh8xPmMsv7x/zPSgDR8L6Qmi6JDb8mZ/3kpPXce34dK2qTHPtS0AFFFIzBVJJwB1oAxtdutsa26nBblvpXP8A3Qq571Pdzm5upJT0J4+lQEAmkykOwQKjBPJx9KkJqNvvZ/ShjACpoELyBFGSxwBTQAa0tPhWKJ7mUkKBgEfqfyoQhuqSi3tUs4z1HzY/z3NZCnvmpLiZ7idnY8k1GeBxSGhS2aj7DmnHAHWoWbONvHNSxoge4/4nOm2x+67u/wD3whI/z7V8++OdTn1Pxpq087ZYXDxqP7qodqj8hXtniSaSwS11WJGc2U4dgvUxn5WH5GvI/iTo5tPEkupWyFtP1H9/DKOVLHlh+dXEhnII5B4JzX0V4X1ubWPCNlf3J3TrH5Ujf3ipxk/hXz3aWrzyqqIWJOAAOpr3/wAPaS2k+FYbIptm2Eyrn+M80SBHF/EHXGXwzYwRErJqTvLKwP8AAMfL+q/9815aD8w9K7/xdpz3Hg+yuUy02lzyWt0ufu5PB+nC/nXAxozEYFNCPWfhp4lub6GbRbyTzBDHut2P3sZ5Unv1H611iT/ZdTnKvtkeJI0/3mbA/wA+1ef/AA00+RdUkuwBtSFgfxxj+Rrrdbufseopct9yFoZX/wB0SDP86B3ZznxI8WXVvfnw9pk729tbKv2h4nw8rkZwT7fqc1yOg+LNX0K+Se3vJnTPzwyuWRx7g1P8QLZ7fxxqO/7sziZD/eVhkVzqISaBXZ9NadqNvqmn21/b5W3uI/MUMeU9QfpWJ4y8YJ4X0W2ntIVfU75cwCVdywx/3sevP559Ko+FVnt/hzEScN5cxT6c/wBa4z4pTNcTaBcrzBLpqbPrubP86ENkdh8V/E9veK91dR3sJPzwSxLg/QjkV7BpmpWus6Zb6jY5+zzjIU9UPdT7g18yIATXtHwsmkXwtdI2fKiuty/UqM/0pNAmddrer2Oh6VNqV85+zxHYsaHDzP8A3R+v5GuFh+L9s95tl0Ty7QnAMc2XUevTBqn8S743Hhfw6FOUkM0jH1bIH9W/OvMwCTTsguz6Yt7m3vbWG7tJRNbzLujkA6ikvriCwtpLi6uI4IYhmSWT7q//AF+a4j4WXco0G9t5i223uFZAewYc/wAqzfiXrU11oWmRhj5dzLJLJjuV/wD2jUpalNm3bfEnw9NfC2zcRJuwLiSMbPqcciunuWEtqrowZTyCOhFfNob5hivXvh7qMl34be2kbcbWXapP9w8gfzo5dRc1zr9K2tpEIPQZH/jx4ptxLpGmTJ9uurGzmk+4ksqqzfhVSw1RbWxmPVLS2luCPUgt/QH868Hv7+41C+mu7qUyTzNudz3o5EPmPpiHaU3KQynoVOQRUd3BBPEwnQMnfNeXfCzxBMt1LpEzlomTzIsn7pHUCvQNV1yPTtN1O+2qw0+L5Aw4aU8L+pFTy9B82hPY+H7SyJmhtSgPOCeB/wAB/wDrVpKepGMV83z+IdWuNRa+l1O7+0M27eJSMfQZ4r2fwP4jfX9BEtw6/a428qXA6ns34j+VKUAjIv6x4WttRxdrM9pcR8pNEcMpqxp1jPbQ4vNSe9kHRmULj8qx/GfiU6Lpb3SJG0m7y7WNjlSTzuYd+Af0rzbTPiPrlvfI93c/abZm/eROijj/AGSMYNNQdg5lc9pureO6haKQBlbg5Fc/DoV3ZRNZxC2u9NLbvs12hYRn/ZbqK3rK8gvrWK8hcNBIgdW7kHpXJeNfGcfhmZLW3QXGouA7KxIjjH4daSTG2jqLS1js7XyYoIIE6lYk2g1iyadFqNxf28i7gyL/AFqj4S8bReIla2uEEF6q5KjlWHqv+FbtkpbV7oD/AJ5KT7DmqSdmJ2uctPoi3qwW2sWM9y9uNlvfW5Ak2dlcHr9a6TStLs9Js/Is4nRW5cucsxpuueItL8OBG1WWRHlyYraJNz49W9KXStd03XrZrjTZzIinDo67XQ+4qG5WKXLcw9Y0+S3urhxbm4068XZeW6ffPoy+4rB0rwTZG8DQ6gJrbOSnlkS49DnpXpqQPMMLGWLcL71UW4037UbJNVsWvs4MCyjdn0+tCckgai2Zeu6c91pYW3+WaHDRf7JHSuM1fw4PFV4dU01o0vX4u7FztcSDqw9q9LZCMqVwRwRUA0iG5k87yI8r1lbAA/GlGchuMTn/AAl4YbQbGd7jb9quF2YDZ2L/APXrG1HSG1XTr3w8Nq30U5vLDccCQYw6D3r0CW3kgIV0x6ehrNvtLtr4K0y4dDlHU4ZT7Ec0e0fMLkVjy3Q/B+pXeqRwT2s8KBv3juhAQdzk16F4kDsrJbZ+WL93/wABx/hW5FFNDCqSTTOPWRsk1TuE3alCOCCrfyq1O5LhY8v8b2JvdXi1q2TdbX8SMWH8EgXayn0PH61rfDnRnGpXGosv7qGIop/vO3GPyzXUHRbi1mm+wND9nmO57edN6Z9R6Gtm2iMEKxbIkVf4Yk2rSc1Yag7kueKQrTs4pM1hubo43xxq1zp4s7a1laLzizOy9cDtV/wrfz3+ln7QWaSJtu49xWpeaBZ63fWf2wqqwsfmPTBrbvbPS9JsY7DTSjtv8yaReQeMAZrVW5DJ35jNHBp4PpTcZNKPSstjQeDg4p2cmmCng4FVuScvLC1jearZxRpHbtp0sibR94nHWuf8J2gj8UaY7cuLlPoOa9a0G2sbvU/JvrdJfNjMa7vzI/HFdraaVY2eBb2NtFjpsjUVE1JpxjpcalGO6ueC2+j6hd3cpgsbiTczY2RE1Z8QfDbxJr+rRTWunmOMWkUbPPIEG4IPxr3h3YHbGBkUqI5JLN+ArKhR9lLmT1HVquatY8Wg+FurHwvb6Td3FvAYriSR5hlwFbb0H4V2vhr4f22kHzhftMxiEZPlheBXYTQeYuMmn29r5akgtg+9dMZ1EnDozFqL1HJaxIgAydo9alWGNANqAYpVX/aP408rx14qlci4wnA6Cgt09fSggFeKdhVHtRYZGXwM80wfMnCmpFYNTS3y+9TYZDKpUgdPemADFI+d4HIAHrmqzTbWIz0rKTsWkcBmgmkPNNavWPNsOzRnFMG6lzQAE1n6qP8AQH5/iX/0IVeJqjqf/HjL7Y/nUstFxeR/hUinFRIflqQdaYh/Wim5wKQtzQIUmkJpN1IW5oCw7NNJo3e1JuoCwZoJxSZGaSkMU8UmaU9BTaVx2EJ61Ew4qQ96iY8GkOxWfrXQeHzi1k/365963/D3/HpJ/v8A9K87OP8AdX8jrwH8Yq3yBr+4OOrn+dU5IVIPFbs8Aa6kOOS1NNmp7V8h7Wx9IloUBAItEbHG6YGsw8Cui1RBFpewdA4rnDzX1GTPmoX8zwcx/imj4eO3Vl/3TXfR1wGgH/iarx/Ca71DwK9Ce5zw2LSinggNTEpwHOTSGSjk5FQ3UhhtZJQfmVeKmBpSAQQQCD1BpjKGmX8t4ZFljCbf8a1B16VBFBDCSYokRm6lVxmphzQIfjNOTimA4pQTmgRZU8U8HNVw5p4aqETVh+Lf+Rcuu3ArYDZrG8VnPhu5+grah/FiRU+FnAeFmuH8S2Ame0khWwu/K8n/AFgHmjO/3r0qYRiR/lYfJ6H3rzPwlbtF4ntJjpsFsJbG6xcxuCbj94OWHbHSvUZBJ5jj5T8vpSxX8VhS+FEI2Bh85Hy+prkPEE091f8A9iW0pWS8cbpA33I9ihm/Suj1DWbXS4jJPPDuVOEDZY/hXDaX4hWwv7y+ltWutQuDtQB8KsfYevqTU0ko3kypa6HbTWsVnoJtoGAiit9qrx2FeYiO9PifRLqeOMQwJFJ5kedojA6tn+L2rpLjxXc3UZgMNuhK4ZEG7H/Aj/SufnlaJwoztx8gHRfpW1Kq4Qae7IlDmkdjq3jlxuh0+MKD/wAtZBz/AN81zMbO6bpGyTWW8zKy9welSpfLFbMznAHesehRqRoJG2b0TP8AExwBU0DaPFMEaeS7mPWOL5VUerH0rhLtr3Wp1WwkeJI+ZZXyEVfU+/t1Na9tHBb24t7YP5Y5eR/vzN/eb+g7UWGdFe69AUNtpsMdtCeHZPvyfj1xWV5ySJtXt96q/kq7ckA/WneW0XDPlc0WAWW5hgX96wBHOO9RWl4L0+VBDI7nptXP8qpwC0v9Vma6b91G33c9a7Sz1uw062MdrFHEncIMZ+tAEVl4W1C7jHnIkCHkmU8/lWzB4VsLXD3E7zHvj5VrAvPGUhDJDkj2rnb7xVM+RJerGv8AdByfypAeknUNK0kHyVhh9SvX86xL7xvCGMduGc+orirKz1nW5P8AQNJu7kH/AJaz/u4/zNdHY/DjVbhf+Jpq8VmneKyTcf8Avo8UAUr3xTeSKS8qQp/tvisYahPqUuy1ivNQk/u28ZK/nXoNn4I8K6XhpLb7ZKP+Wl3J5n6dK2G12x0+HyoPLiiUcIgCj9KAOAsvBHii9Ks8VrpcLdWkbfJ+QrdtPhjpELiXV9RutQfuhby0/IUl943jTeqSDPYLWHceJ7+8z5MMmP7zcD9aYHe2z6B4eBTT7K2twO8SfMfxqnd+NYII2YFd/bca8zutRlJP23UY48/wxnc1Uft1vJjybWe5b1lOB+VAHZ3vjiSYlY3Zsdkr0zw1aT22iwvdf8fMwEkgPbPQfgK8r8E6Jq+p69by3FmLTToT5r4jI3Y6L+de15x9KAFzS03PalByaQC1la3diG2EK/fl/lWoTgVyGo3X2q8kfOU+6v0oGisOBTd3IpDljzSSNgjFIocX59qUc1XBO6p05PtSuBZtovNlVFHLGrerTpHCltCflxzx2/8ArmnWSrb28ly3GBgf1/z71kyzPPMXkPzMaewktRgFIT2p5+7Tc5+tIoYw6+lMK4Hant29ageZIjg7mbHRRk1LBCzRJNGyOoKsMEHvXH3ej3unW8thDZ2+o6TM24WtwcGE/wCyfSuqW4mzvljCIeFQct+P61n6lrVjpdg17f3S29v/AA8Zd/oKauJ2MHRNCtoJ47mDRI7O4U8OTu2fTJPNdikZChW+Y1y+meP/AA9qd4lvb3rxytwvnx+WG/HpXTwSLI+Q3b7vpRr1BWOX1rSbmx1CXULGFbmC4XZeWTHiVfUe9ctD4P8ADl3deZayajaAnm2kgOV+hxXqNw6qypje7dFHWs1dW0Nb77HNqdhHcg8o0w4Pp9aPeFoM0nSbTS7RorSIxx7f4urH1+tUbvTk1LUJbSb7k1oyZ/EV1E0TJEM7SrDgqcg1jRjbr9vnvE9Ugsjh9U0qDWYYdI1mZbPV7NfLtb5x+7nj7Kx9aq6b8N7hLlRe3lmsWfvxS72b6CvTrvT7W9byprcSseq7c/nSW2iWlnloLSNAP7gFTzMdkPt7OGDT0tIk2wJH5ar/ALNcHf6HDrFifC95IlvqFm7Ppdw/3ZIz1jzXo2eKoalpdnqUO27iR1H96hSBo8itvhxry3BS4sMY4zvGz869W0LSItE0WOwiYNjLSMB95j1p1npYt12ia4aIchWlYj9a0lGE2jp6UOTBRR5zq+iPq2kXHh7cF1Cwme6sgxwJo26oDXnA0m8S6a2mtpo5lbb5ZQ7ifpXvup6Nb6ksbuCs8Z3RyocOh9Qe1MtrO/jdfOv3mA43vGm7/vrFNSDlMrwXoEmi+HpIpwRcXTeY4PVRjCr/AJ9a5TV9Jm1fQbrS4l36jptw0sUfd4m64r1ILtHU59TWFq+gNd3Ud/ZzPbXsf3ZY+v0PrS5g5Twe3tJHmx5Zyp+bPGK9g8GaU+naI7ypsed9+PRe39fzrSg0ueaZXv7GweQH/WrHyx9SPWtmSER22Penzi5TiYnKao9tMwWG/tJrQMem8lsV5LPaTWt1JbzoySxttdT1Br3NtFj1bQ5IySskdwzRuvVGznIrJl0CPUpwdY05pLtAF+1WzBfMH+0OOaOdJhytnM/DbTJn1w3o+VIUIJ9z2rpNWMt7pXi3TcbpVWO6RT1KqRnFdTo+kwadAIraHy0647k+5qhremXMV8uq6ftFwgKsh6Sqeqmlz6j5dDwcKWavUfhxC1tpOo3Sbg67c+hxkj+dRReENKvrwyQS3FlIx+e3lhJ2n/ZPSvQND0iHTNNFkvKHO44657mnKasJRZ5d42mkv/Dul3iZMcckkUnsxxj9BXDQAiVWAzg969Y1TSE09b3T72N20u8bf5iDJgk7H6Vj6Z4CLzr/AKdbywHkvG2WI+lNSQWOj8O3r2Pg3TncEJ520Z7Lv4rz3x+8reNdTD5zvG3P93aMV65qmkJL4fNlbrsEajywP4cdK4LXNFl8UGO6h2x6xCgjubd2wZFH3XX1qYyHJHMeEHeLxNp8i5/1yjjuDwf0r1u81H7BqJ+cqJDFGxHcbulc54O8HXFrqEd3exeX5RyiE5JPrWtr1jJdTXCw581YRIv1Vqq6JPN/Hd3LdeMdSMpJKS+WueygYFWPh9ey2fii3QMfLuMwuvrxkfqKu+J9Em1nZ4h09DIswC3sS8vDKODkdcHFaHgLw7MuqDUJ7dkggU7C4xuftii6sNLU7zxB4hex8Fa3cWb7JoFS3Rl6oW7/AKmvntZmSYOrkEHIOeQa9iuoBcXmt+G5X2Nq0QktHY/L5qdBXlkekXH2treaJ45lfYY24OaIu6E9z3Lw5rJ1jwvYahcvi4ceQ7f3nU7c/lg15z8TfEFzeeIpdLjndbG0wixKflL45P8ASuq/s660PwFawbSLiBzcuoPTLdPyArh/Hunv/wAJKdRhRmtdQRZonHIJIG4fnmlGw2b3w08Q3M1xJoNzI0kLRtJb7zkxsvJUexHb2rs/EWvp4f8ADd3qCRxvOjCCDPI8w9/w5/KvP/h1pT/8JEl2fu28bM5x6qV/rV7xWJb7wpqsHJksb9JmX/pmwIz+tFlcLuxg6d8Q9cg1KOe9vpru3LfvYpTuBHfHofpXqRaOe+s5lceVIhcN/s7c/wAq8CiidnBCk/QV7NctJpuj6fF0lhtAD9dmadhXI/HPi1fDYhtLOKOW+mXezSDKxJ0HHc8H8qpeEPGr67M1nexxx3QG5GjGFcd+PWuT+IbPca9b3PJjntImQ/hz+tVvBdvcReJ7NlHOTn/dxzUuKaKUrM9nvrqw0zSbjUr+crBbj51T7xY9FH5j864/RPiJY6vqIs7m0+xGQ4il83cpPo3AxVLxpeS3Hgq7RBgx6r+9/wC+SRXmUMbEMRxtHFCgrBzNM+iiOeaYRio7Jnk021d/9Y0KFvrtFSnociuZrU6FsNpAcGnGmEUmNkgopoPal6VSIHxSvDKsqHDodyn3r0qxkhvbWK5B3CRQevQ15l0rq/CV4Xjks+fl+dPp3/X+dDE0dcFQelLuUA9KgCsR3o2knFVciyHPJnIHSiNmwMmkK4U5PFAkRVFAEm9gOvNIZMjBzmkEiMvy9aMkg/LRcVhwzj/GkdgFOW7U1gSMbOPc0hUdC3HoKdwBXDAbQeabuYgc8Up27flBI9DSebtCjbipGQsrbj16VVIbNXi27hh8xFVxtwMjn61nJalxPPDSE80ppuOeteseaJuo+tJSmgBDiqeokf2fN9KtmqWojNhN/u0nuNFmLlR6VNioU+6KmHQ0kD3DGaZt9BT6TNUSxhWjHtT6Q0ANK4pu0innpSd6Q0R7SO9HNSdqSpKGd6TJqTHWkpWAiOaifOKsHnNQstAyq7e1b/h4/wCiSf7/APSsNxxW74e/49pf9/8ApXn5v/urOrAfxkX5P9e/1NLgU1/9e/1p3Svh3oz6ZbEGtDGmsf8AbWuW+ldTq/Omv6bxXMEcV9bkf+7/ADPAzD+KaGgN/wATZAf7prv4h8orz/QR/wATZB32mu/hICDmvSnuc8NiytSAUxcfhUoHHtQUxRxTh1puOOtKOKYrj8UoOKQdKOlAbjs4pynJpmc09eooGThe9OAzTQwVNzEADuelZ1x4k0q3JX7Usjj+CIbzVLYg1AvFY3itc+G7rjsKxb34h2yho7O0eSXs0jfKPyrjdV1a+1WUPd3LOP7g4VfwrSEuSSkKSurC6N9m0bUodRhE0k5gnhmheTKBnfIK+gx1rYvNf1C8D7phFGRjbFwMfWucifZ99wV7Gpo76aGQymFPKC/Jv5Ln2Hp70TfPLmYorlVh80QETSytsjP8ZHX6etQHYIX8nKhvvMepqvf309/MJbh9xPAHZR7Uwyj7Kfm5qSi1AGV1fHXrRdXAM8aqOQOTTLNJbpR5Mckjq3RehrXsvCN/fXPmzzRQIQAFHzP+lMRzdxI8hjVR8q0G1mvR5EIGA2XkP3UHck16Jb+F9E0wrJc/vJVHWd+P++RXOa5ra6g4trSNYbKM/KqKF3H1IFMRmL5cdrHaQ58iJieert3Y/wCHalzgZAzjtUeCenBoaQxIzuQFXrTYE+QQrEYNRyNlSM4FXNO0q71ILJhILfGRJKeT9F/xrdg0DR4Yg95PJcEdg2wfp/jUjPKdVmkttTBhVj53GFXPNbGneF/F2rKpj02SGJukt0fLH5HmvUba+0bT4M20VtAV/ur8359f1rPvPHNtCSocu/YUAY9j8LTkHW9b3KesNou0f99H/Cui07w/4X8PuHtLCPzB0ll/eN+bVzFz4pv7hW8qIop/ic7RWFc6yxP+k6mpP9yEZNID0vUfFdvbkjzV49TXOXXjbzWkWBHkY9Norjka4vZgtjpc9zI3RpeR+Vb1n4L8UXuBcPHYwntwv/16AILnW9Skz5hjt0/6aMBWPLqFu5Iku5Lhv7sK4ruLP4XWEbh9QvpLk99v+J/wroLbQfDelLiKzhz6yfOaAPKrGDVLyRl0nRmBP/LRhvNb1v8AD3xJqfOo3cdsvdSefyFd/N4itLRCqYVB0x8orDvfHMMeQkij6c0AQ6b8LNEsvnu55bhup2fIPz610dtaaHoMbfZLWCOQDjPzOfxrzvUPHTsSFdnPpmq+k3eqeJdat7CEtGkr/NJjG1RyT+WaAPbLGUXFus/OH5GfSp89eeKijVIoUSMfKqhV+lLuwKAJgfWgHnio1alV+tMCvqtz9m0+Rv4m+Rfqa5HPFa3iC533KQKeIxlvqaxGfLYqWNEitgZzzTSc1GrYk46U7I+tIqw5R0qxChZgByT0qup5rV0tMu0xHyxjj69qEhMXVpPIgjtFHKjk/wCff+VZQPOT1p93N587ydj09hUa8nrgUN3Y0OY5HHWgDnPekyFHoKGkAQntSGMZjgbaYkKozN/E3VjQHO1cDHpT+wNIDG16XyLMQhwq3EqxDjnBPP6Zrx34m6rLeeKXtN5MNpGEUf7RGW/nj8K9V8aR3H9kG5tgWktpFlA+nX9Ca8l+I9gsetQ6tbZex1GFJI5P9oLhhVohnIB+T/d717z8Ptbl1Xw7HJcsGnt8xMf7wA4P5YrweK3aVtqjk17f8ObB7LwyS42tcSlwO+MYH8qGCJfFniWbSPDuoahbyqLmaf7FASPujB3MP/HvxIrw0PknPI9+a9P8U2sl74R1eFd7TabqPnFPWJs/N/49XlqjcaaEesfDDxXczSf8I7eTb4PKZ7TPVGHJXPcEfyruXlW31e2nlGUSOQkeuBXkPw7spn8YWEqIxWFjI3HRdpH9a9K8SyukLmP7/kSkfhg/0pjZj/Efxhc6RbQ6Pp8rRXF1H51zMOu1uij0zg/hivM9I17UtHvlvLC8kjmU8ktkN/vDvXQfE5Hk1+0v1H+j3djE0bduBgiuMiQhgece1IR9G+G9di8RaNb3yKI5HG2WP+446j+v403xT4ltvD2iPqWyO4k3+TZxn+Ju7H27/TArmPhpHJFoN221gGmyv/fIrB8eyy3HhHQ5+qJNNHJjs/H+BqUimzN/4Wf4tN6bg6pn/pl5S+Xj0216j4U8SxeJdKW62CK4U7Jogejeo9jXz2gO6vTPhUXW5v8AGdhjXPpnJptCTPT729tNP0+8v75mFlZoGl29ZGPRR+g/GvMpvjBfC+LW2l2cdju4ibJfb7vnrV7x7eTTeAgVY4bV3SUfQHFeSnO4etO2gXPo7RNas/EOlR6hY/IhO2SJjkxP/dNW7qeG1gkmnuY4IIU3zSueEH+SPzFebfCZ5o21OH/lk0SyfiDV7x5qDzeCbzYeJNU8uT2ADYH8vyqbajvoB+LOmx3XlR6VcPag481pRuPvtxXY2+o2uq6XHeWcnmQScqw/kfevnEHLe1en/DC4m+yajZs2Yl2SrnsTwafKCkd1pbrFYzlun2hh9TxxVTV/FGj6DKsWoXX+kMM+TCm9lHqahtr0RXcdt1Allmx67VH/ANevD7++m1C/nvLht8s0hdzRyoOZo+hdH1ix1i3FxY3Amizg9mU+hHY1elPyE4OAcV4j8PdRlsfE0Mas3lXAMbr2PHH616rq2uvZQ6k8W3dY2pmAI6t2/pUcupSloSXGsaPplyIL7UrS1uD/AMsnk+Zfr6VsQOsu1kYMpGQVPBFfMcs8lxNJNK5eSQ7ncnkmvUPhZrU5W402VyyRr5sWT93nkfSiUAjI9Qu4IWjHmrnP3QOprPthp0Ezw26xRzH7yArv/Edaw/HXiWWz8MXNzZy7JnlFtEV/hXnJ+uAfzrw6G9nt7kXEUsizA58wN8350KmrBzn0ttUjHY1nXug2d/Ogkh3Sjldv3l9+OlUvCevf2p4eiv58GVBtkz3cf5Fc58T/ABPdaV9n0PTriSEvF511KjYd8nhc9h3pKFxuR3kNoLJViCMgHAzWaBnWyOxgP/oVeYeB/GF9p+rw2d5cyT2Nw4RxKxbyyejDNepYEeuAvwFhYt+dNRtclyuU/wCxktdSa8tLh7SeT72xuJPqprUUOB87F29TXGePfGFxoE8en6W8YvGQST3BTcVB6KoPSs7wX47vdQ1JdN1aRZjL/qZtoUhv7p9c81Lg7FKaOy1fRYdViXeWSaM7o5UOGU+oqW1S7MyzX8dncXCfduPJw59M9s1pjy0RnmdUjRDJI3oo/wD1V5dc/FW7/tNvsmnWo08NgRyA72Hru7GiMZWByR6VKvnI4k+bd1zXORaTNDE+kSQRXmlFvMjikYq8R/2WHatvTNQttY0+C9tWPkyrn5uq+oP05ql4l8Sab4Rgia8Q3l/ON0VqrbVVP7zGlGMrlScS3YWdtp9p5FpAIYzyRncfzrJ1HTp4dT/tG0jSZZImhubZ+BNGe2exqTw14wsPFYmjitjZ3sQ3GHfuWRe5U1tyL5cDzyMscMaF3kboqj/9VK0uYfu2OU0nwppUF3HdJBeIEbcsE+3aD7kda1tSh8+/tlfo7EH8Qaxrb4jaDPqS2gW4jjLbVupANh9yOoFbt8SdSssDKl+o/GtFzX1M3y20OSvtDWe1TTNSEkYtXJs71VLKAf4HArV8NeFodIlkuTIssrrtV1UgKv4102oS22l2bX+oXUdtaocF25LH+6oHWqela5pOuxytpd4JWi5eNlKOB64PUVDcrFKMbnOa1awwzXtnfhhpWpgb5lGfImX7rH2rF0nwGTdr51zbyWoOS8T7vMH9K9Ha3S4+R0DAg8GqFjf6K929hYXtm9yv3oomG7jr060RnKwOKuXxgKABgDpR1ozlS3YcGkZlRlR2VHb7qM3zH8Kzs2aXQhFJinUEYqBkfQ0p60pXIo7U0JhV3Rrz7Dq1vMThN21/908VT60wjPWqYj1kHPTpSA1m6FffbdIglb/WKPLf6itI/MKZk0DpleTxioGtsnAY47ipy+OvSgkYNDSYEVvAIV69alPykmmbiQOOKRgSDkijYY5jnlmOM9BSbkBNIQigZYdab5sfI4zRcLDjISDtWmqH4+XNO3DbwtLl/l7UhjAhDEt0xxzVcIv/AD0A56VZHDZJyajaEbj/AI0pIaPNieKTOaDSivTPOGkYpKcTTTQA081T1Hmwn/3auGqeoD/QZ+/yGkxotR9BUoGKhiOVWpSTTAD0pmafjIppGaYgXNLn24pMlRQOtAhT0pMYpSeKQmkxiUlLmg0DE6UlBo6ikA0jrUbDOalNRN0pFFdxzW74f/495v8Af/pWG1begf6ib/e/pXnZqr4ZnVgf4yLjt+/fmnA+9QBriOBFQqrvcGMkgNxgVtzacIfD5v8A7RvbbvBMSY/LFfPQyp1FzJnvyrcqXmY2qnOmt/vLXNNW/qNw02kWzMgBlXLFRgZyetYLdK93K6DoUXFs8bHyvVt2Leif8haM+xrvoPuiuD0TjVoz/smu+i+6K657nPDYsocfSodR1GHSrCW8nDGKPGQoyalT5QKxfGhz4Sv/AEwv/oQqqavJIcnZF/S9cs9XJFoZG+TfllwMZx/SsHxfLPHdHypmjXy0yysQRyemKzfhux+2agGVg6xgHHMf3j9w+n9av+MSjXwUAPIYlxzwOT2rrpxjCvboZSblA6bQZGk0KydmZy0QyzHJNaOK4+28Tppmi2sPkbpIowGZm2rn27msy+8aX9whjtzHbg8F1Hzfr0rnnFuTsaJ6I7a/1iw0wbbmdRJ2jXlj+Fc1e+NrgyGOzgSDj78nzN+VcxuMwEjyl2Y5ZjyWqO6miXCMN8o/hB6fWhRQXLd3qVxeDz7y7llVugLdfotZU19JInlqTHGf4R3+tNErOw8xsmkeID5h0oFcbG20cUvnbVcngKPSprLTry9bFvbSSD1C8fnVm40x9JcC9aJp3GVhVt233f8Awo3ArJCsUaSTDc5+ZIj/ADP+FNcmRmZ2yzdTSuxZmZjlj1NRk4BrSwrjZQMKAKo3jrDFEZP9W0mGxU8uZZotm8sp+6vf8Ktt4O1zV7QpDbeSjdJLhvLA/rUsZJH4phtLdYotqqB0Wqs3i+cuqpPsZmwoB+ZiewrZ0v4Q7tjapq80rfxR2ke1f++2rU1HRfD3hiBFsNNtjfOPknkbzXQf3snofpSAxZpbiOIwzSs87/69ien+wP61WIwc8UjsAf7x681WSeQqfNRUOegOeKsgtFwD/jWbqd4kbW2//VmX5vyqSW5RU3Bxj61Sn0XVdehMVhY3EzdQwXCr+J4oZRoS+KyFX97jb2qpP4maUY88IvqTU+mfCPxJduv9p3lpYRd8P5j/AJDj9a7LS/hX4esXDXUtzqDrz8x2p+n+NQM87XU/tDhI47i5djgBeBW7Y+GfFV/s8jTlsom/jlUA/rXpkFvo2jD/AESztICvRgAWH49aq33jGytc5nyfrQFjnrb4X7mDatq7SHukX/18V0Fp4S8M6Xgx2QkI7ytu/wAK5y8+ICHPkAn3Nc5qHjW8lJCPj6UAeryavZWSbY/KiUcYQBf5VhX/AI2tYM7ZBu9q8qk1m9u2wXY/jTBbSS5eZmA9/lH5mkB2l94+JDCM59OaxZ/E2qXbHykk2+vSsI3Vha53zQ5H93Lmqlz4ntIc7GeT2LhB+Q5oA2ZJbyXPn3Kp/s5yaiMEIG9/Mk92OBXLT+KZn5giCe4T+pqhJqt/fHblnPYLlz+VAHYPqFpbjCPApH935z+lelfCeFL+G91g7iqn7NCWGB6uR+grxGz8M+INQA8qyuMH/np+7FfS3gzRv+Ed8IafphAEsUQMxXoZDy36mkB0hbGB+lJuznHaq+88sacjbVJ9aYEwbFPLhFLn7qrk1CrAuOelVNZufI0xwpw0jbfwoA5yefz7iSZjy7ZqE5AJBqEt83FO3HGKllChuacrVETk8U9egHepRZMg61pyt9l0sKr4d8Z/H/6386z7UCSdUP3c/MfQd6k1G5E7phdpPzsPTPQfliqWxPUqZyfpUi8g84NRdqeDtX3qR2FKnbjJOKhPHBz9alJJHtTJnSOPc4J5wqjqx9BRqDGgnaQpyc96mA965rVPFmj6Gypql+sEzciCJTI+PfHT8cVd0fxLpGuRF9NvVnC/eQja6/VTzT2C5qSxpIGVh8p61weoeHJbOGWyNkNQ0eZ/M+zbsSQsepQ+ntxXfkjGfzNU7m4Ub02KSgy7SHaqj3NAjzvTfA+nrcRvHZ3QXrsuvu/j616Ha2q28QUACs218RaFJd/ZodU095842JKDk+1bSgM2c8e1KVxqxzGuadd2WpDWNPjWcmMxXVq33Z4/7v1rhZ/COh3d+kmn3FzZBzl7S5i+aI+g9a9encgYCKQeu7/PWoZra0t5RHdzW0Dn7oknVc/TJppsmyMjw1oNjo9u62SSM0mA88q4LfT0FOvIQ+rWAIyGd1I9crW+AIioAGDyCO9Y12Matpx7eef/AEGnFsGjktX0a2GntoOtM8dpG5k07UcZWHP8D+1Ydl8OJxcIZdRs3gPO+JtxP0FeuXUNvLEUnQOG4xtzu/CqttpFpZsXhsxFnk4j21PMx8qDStOhsNPjtolxGowPU+9cfrumwot9pOokx6bfS+fBc/wwTe/oCa9AGCPaq19ZW17bvFcorRkYO7pRcbR4ufh3rcN2EWKKaI/dnR/lxXpvhPQY9D01YOHlY7pXH8Te3sBVvT/DUdrn7N9o8kc7eQta8arGoUDpTcmJJHG6vYQySalod8wistVKy2tw33Ybkev1wK89n8A6/ZXrQS6bNIFOFeJdyv8A5969svrC31C3eG4iWSNuoYZqta2Etqojhvbhol4VC+8KPQE01MOUzPCHh1tA0uVJiPtVwwZwP4FHRaytT0pLqfU/D13KIY9TcXNpMw+USr2ruAuAckk+p71S1TSLbVYRHcJu2nKnOCp9j2pcwWPCn8L6la3z21zaSI6Nj7uQ3uPavUvCGhyaPo80k6FLifBZT1VR0FbdtZX0AEUt756qeDKilx+NXpI9tq/OTt60c9w5Ti7yV7GeLUgu6O2uyJeP+WbDBrzrxJoEulazIqDdaTt5ltKPush5r2KxtYryLUYJVDIzjII9qpr4fuLeEWi+Td2an93Fcpu8v/dPpTcrCUWzivAOhSy6sl4ynyLfJDY6t2ArptahKa/PbTNst9Ttmtgx6BsfLXV2Nktqqosccaj+GNcKDVfXNGh1a08t8q6tlHXqp9qXMNR0PAJdPuLW9ltLiNo5om2upHSvR/htpDrLcXzA7CvlJ79zW2NEa8nA1XS7e6mUBftQcozgf3gO9dVY2UdpGiRRpGi9EQYApSqKwKDueZa5b3F94Y1Kz2s1zZ3InC9ynOf55/CvPbe3aVunA617rr2h3Md8mp6bjzQu2SJvuSD0NYll4U0+5uDK2m3FsS25oi42fSiM1YTgyDSLO4svAE8ioyl285V9s/8A1q574mxtd6pp+sJzbX1mgVu25OGFet/ZImsTb7RsK4IA4rkLjSI4LF9G1W1kuNK3+bbyw8y2znrx3FCmrlOLPL9E02a81K2giRjJJKqpjua9g8R3DwTyOnJEDdPYiovD3hrTNMn+2Wsk88wGI2lTZ5fvj1q5qNus+oW8TjIdHU1fMiOVnlXj5JG8SG6JzHdQRSxN2I2gfzFUvDFjNNrth5P+s89CPw5rutS0SG4tE0vVRIhtWP2K9RNw2f3Hx0rR8NeGYNLm+1+as020qjKMKo9vU0udWHyu5Y1u7lmsfEVmpO77CWjHqO9eKRoWcV7drFtPbahDqtvGZ1jUpPAB/rYz1H1rkV8FxzXZm0m7hltZWyolba8Q/ulfalGQOLNPwfeS6d4Ku5T91JuPxAzXNfFGV5fGkjN91rWEx/7uwf1zXpUOiwwaAdMT7rKdzepPeuR1bQ18TW8EDyJb6/YoINkjbVuYh0Kn1pxkrjcWkcr4Eklg8X6Y8ROWm2H3BGD+legeN9YeXwjrcEbFTFcRQnH9w/8A6qi8I+Dp9Hvv7Q1CKNJIh+4jDZO714pdcs4he3dpdv5dhqkWwynpFMv3CfalzK4knY8ejVpH45Fe0aLfSp4e0a8lbMkSdW77c4/kK4qz8D6ql2Ld7Zg5PMuf3YHru716DfWMdtZ2NlCP3aAR/wCNVcVjkPinq8t2NDtwf9H+zGYYHBYnGf8Ax2uW8HX8+n+KbCaLdgzLG+P4kbgiuu13RZ9e8OW8dum/UtHZ4poQfneEnKsB3qj4K8M3MuvW9xNDIkFs3myM6lRx0AzRpYFe52PjHWnsPDGsC2YpMrrb7h1UMef6/nXikMskUySwu0cinKMp+6a9V8Q2El7f6ppTPhr9BPbk9GkTnbXnVtot5JcLb+RIJ84MZGCD70law3e57Rpmtxz6VaX8vMn2U3LIB95lHP8AWvD7/VbrUtUlvZ5XaWRywIPK+gHpivWbm1TShpET/JbLGbWUjou5cZ/OvL5dFntNRltpk2mN9oPY+9EbBI9d8IanLq3h2CefmZf3bn+9jjNbp6Vg+DdOfTNAjicYZmL4+tdBjrXNNa6G8dhnakz2paTvUDE70h9xSn7woJyKtMDo/B96UvJbNvuSrvX/AHh/9auzwOPWvMNOu2sdTt516K43fTv+lemmVMcZOemKLmckNkRip2Yz71DD5kRfzSCe2KftGTjzD+NMZQuTlVH+0am+o0NlnZm+QUzEjDlx1qGbUdNtzum1G0jA/vTqP61Ql8YeHov+YjHIc9IUaT/0EVN+416GzHCvVyTU48tR8qVzB8b6Zv2wWuqXHvFYvj8zinnxTcyoTbeG9Tf0Mvlxj9WqlJByyfQ6USHbyuKaz9cmuTOteKpTiHw/ZxKe897n9FWkabxfPwX0i190R5D+ppc6HyM6Yt5kqYJIzyKdIAJCMfpWRocepRtMmo3sd1Jncpjh8sAelakqSmViHOM04u6E1ZnmnmNn7v607eT/AAmgD3pwFeoebcjMmByrZpDKP7rflUhXmk20rMZH5itnr+VQXmGsZyevlt/KrgXIqrejFjcDt5bfypDQ+KRfKXnsKk3qf4hUUBzCn+6KmKAkVQnuLuHqKB1oMQI6Cm+UuPuigBWpQOKaIwe1O8v2/WgBCOKTHPXigR/X86PL54JpXAdgAUwinFSR940whv71AxCaBTfmz1pp35OCKTESZz3qJzxSFpBjgVG0jn+EUihjda3fD/8AqZh/tVz7M/8Ac/Wt7w4SYptwx8wrgzT/AHZnVgv4yLDpKlpuSJ3aK8ydgLfwiunvbu2fwk8MTHPk4CMMN+VZmh65Z6S97aXxZJDNuUqpIIxW4PFWhkEG6Kg+qNWGGnTVPWW6PQqVJ3S5fhZw95uXS7NCjD90Sc8Y+asZiK6bxXqdjqdwjWLecIo8O65G3muYOT2NduH5baO5w4qTnU5mrXLminGrR+m013sLDA55rzvT7qO3vd5O4ovKitWXWruSPhxbx46p1NVKLbM46I7gyxRrmSREH+0cVzXinVrC40i40+OYyTSgD92uQvPc1zTXLSjfufn+Jm3Mfxo2GR+oyBkk9h61cVZ3EyDTFuLBWSznmhSTjYjds5wD25Jp0pa1ZpN3mOeoJ4HuT3pfOUZihJI7yEYLe3sKjn4tm9e1U3d3C2hVnlkkcNISzEcZpgXLBOjGtGHRry/MbQwMF/vH5V/OsbxHeLplw9nbTJJdBdsssZ4j/wBke/vQIuS3iRL5MJBlHDMOifT3qspA+prnbW9aAjYAwrZgvIpCOfmPY0MCw2wt1Iq1pmr2EKiaUJI2eN3OPwqKDR9Uv1zZ2M0gbjdjav5mlh+Fz28Mt7rGsGGEHIt7ZdzE/wB3eeKQzpY/FtybY3ECqIB8sfo7ew9B61hky3EklxcSGSaQ5ZjVS2mkuyU8gQpDhEVeAoH8NX2GBgd6uKJbImUDGadZratcgXB+Req+tQTvtXNcbqmqzwagscW93k6IgyfypvYSPWIfEGnaZGfssEMRHdRz+dC+PpUjKw2sckn/AD1Iya880zw54w1gq8emSwQMf9bc/u1/Xmu2074XSToDqWszzH+KK1T5fzrMocnifVdYuDHLeJHCi75fLbJC+n1NY+qXkzSTTAjcT8q9kXsBVy+s9O0p5LHSI/Lt1bMrM2WkcDua5281Bg5TajD1NUhMZbXbIXEmTubJOeat2GnxazdZuZ3itU/hQ4JNY1xd+cNkUaqRzx3rMh1q4snaJsIASeaBnr+m2/hnSgrQWELSD/lpJ87frWofGdhHkSvhV+6qtivLpY5Y7W0e5vJo7iaPzWhVRiNT938SMH8aa+iCRdwvrgn/AHVqdxneaj8R7aPP2aJR7/8A665e9+IV/dudjGshfDQf71xMx9ML0psmkLEGS3dAR3kQn+tABPqmp3jFmmIHpnP6VjXV+FuTAH8yUfeZzgLVTVptTst0a3YBP8KLt/lWba+GPEeqnfFp9y6t/GV2A/iaQGu19YQ83Wobm/uQru/WoD4k06NiIbVpMDhpW4/IVsaV8HdYvAHu5Et17gLvP+Fdfp/wa0mFR9vuppx3UvgfktAHlkni28lBW1CxL22qE/8Ar1FHHrurv+6guZs/xLGT+p4r36y8FeFtHKmCxh3L/FsGfzOTV6a90qBVURwhB6nNAHhdr8OfEt6oeWJI0b/nrLk/98rXT6d8GZiFN3eupPVYkCj8zXf3Pi2ygH7nYuPSsifxhPNnyEZz7UAOsvhb4dsMNdIkrDvKxc1u2+n+HtLULBCox2VQorjbrW9Tm4LpEP8AabpWRcapCCftOp5PfZSA9X0/UbK41CO1toY97cnuQBXQvIQuK8++GSW91Hf6lGH+VhboznOe7f0rvJHwR3poCQNuqVWyKrpIDndwKmDLjrQAqtjJ5rF124LzRwjoq5P41rjaa5a9n8+8lkzwW4oGiDaM0ucZppbDGnE/LWbKEpy9aYOtPHAFAy7bJlM5A8xtuf8AZ6t+lVZJTPK0jdWOfpU0uUVz2VBF+J5NVVPBPeqYkPU5pxOTSKPlzQO9SUONc5r+uGwtdUuhtb+zrQOikf8ALR+5/SuhznvXD67aPd3+taZj5tS0/wDcZ7yJ2/lVRJkeIXN1PeXUlzcyGSeVt8jt1Jq1pOp3WlapbXttIUkjft3HcfQ1Rmglt53gnRkljba6N1BHWrljZvdTRwxozO7YUAcmqIPo5NWii0tr8gMiLuAPf0/mK8t+KWtXCy2ujpIyRmITTgH/AFjN613d5pbx+EprKEkusCqMdyqj/CvMviTG11PpWtplobu0SPI6B1HIpRGzh9/IHpXt3w08STanpclndzNJPbEDzG6tH2z9Oa8Thi8xsdjXqfwx0542u7nPyPtiHuep/nQwR2Or+IhpNpqmouAxsUCRJnhpGx1/OvBb/UbnU7yS7vpmuLiU5aRzkmvT/FNrPeWHiWyQkujRXaJ/fQDn8sGvJQcnPWmhM7/4feLbux1S30q4nkksbhvLRXORC/Yr6eleo3rBb7T5GOAs+SfT5a8L8OWU1zr1ikQOWnQ8duR/hXs2vb2SCNPvNKVH4qRQkMzfHXjC50PSIPsUmy+v8lJR1hiHdffnH515LDruqRXgu49SulnznzPNOa6b4hBrmz8P34B8p7Qwk+jqeRXDIpJFCsK5794H8TN4i0kvOAt1C2ybHRj2YfWtzV9atdE0W+1eaPzEsyIoou0kx9f89Aa85+FcLJLqDqDsKoCfU81d8azy3Pw9vlySbfWf3o9M5xn86VtSm9Dk7r4leLLq9Nz/AG1cQnOVihOxF9gtem+C/F58W6bKLpEXU7THnFBgSoej49fWvBACWz3r0b4VW80fiK4k58trJ9/6Y/Wm1cSZ6ld3ttZWd3dXbt9ltIvNmC9W9F/z6ivJdR+LHiG4v2ewljsLXPyW6Rq3H+0SOa6bxfcSy+FPEsSk5jmty4/2OP6140eT70JILn0B4P8AFqeLrCZpoo4NQtsecsfCyKf4wO1b1xLDBC7zTeVBCnmzyBsFR2H6V4/8KmdfFyjnbJbSh/pwf511HjK6mk8L+JkQ/OjQDj+5xStqO+hg6h8Vrz7cf7NsbWOzRvlWVdzuPUnt+Fdr4b8UW3iXSpZY08m4TiaHOdp9R7GvAt2ea7z4ZtImuTqv3JLdg36UNCTPSdLkSK5vt543Kfrx0rC8VePIPD119jhhF3efedWfakWe3HerfniPVUjY4WS6jDfka8c8RzSzeJNSeXO83Umc/WiyC7PX/Cnjm28QT/ZpoltrvBIQPlXHt7+1dVLJ5a8/Mx4VfU1876HNLb61ZSR53idMf99V7jf6g0GrRRr/AAW0sqD3AqeXUpS0MDW/iLYaPqD2cNvJfSxttlcSBEU+i9c10XhvxJY+ILbzLQuCOGjk+8h/w96+e3dnkLNyzHLZ7muy+HF1Jb+KEVeElRlbPtzRKCaFGWp7jKwjjGSqnGct0Ud2NcS3xL8NRXhti126BtpuliGz8s5xVXxXrs0/hbXXjcBleK347KTyK8cDFm60owjYbm7n01BLHPDHLBIssUihkdOQwNQancQWFjLeXk0UNrF9+VzkZ9B61xXw41WZPCl6JWJFnIfLz/CGGcfnWV8VNSeW20WyRv3HlGYgdC2cD+v50KCuNzOx0jxZomtTNb2F2WmH/LOSMxs30z1qe751azPbc38q8Esbma0vIbq3YrLE+9DnvXuk94A+n3p/uebj0+TNVyk8xsTJDBDNcXk0Vtbwj95LM2FB9Kp2Oo6Vq0cj6VqMF3s+8icOvvtPOK89+KuqyyDSdPRz9nFsLl17M7Hqfy/WuL0DVptI1yzvbdirRuN2O6k4IPtipdNFc7Pf8ZXPb86guG0+wuVW5u7K2uG+6ssqq7VNLqMFrNN/dhia4I/DIr51v9Rn1K/nvLlzJNMxZ2b+X0pRp6A5s+izlTtI/wADUM+nQXTfvrcOBzll4H41yXw51t7vw/LDdP5hsW+Usedh6A1S+KPia6jhtdFt/wB3DNEs0rqfmkyen0pRp6jc9DvUjRIx5TRsg4BjYMP0qK6tYL6B4rmMSIRggjNeNeCNen0nXYIvNP2W4cRyx5+U56H617Zc6rDpWk318drSWcDTbfV/4f8APvSdPUanoMs9DNjAPJt5ViC/KhY8D2Gapaodslsf+mg/nXicniXWJ9W/tKS/uPthff5oc5U+3pXr1pqZ13QNM1JgqSyNtlA/vqcE/j1q+SzJ5tC/dadbNeJdqXiul+5LE5V/px2q+C5RVd3Y/wC1XJeNvEkmhaFHLZMq3165VZQeYkHce/SuJ8MeNNUttZhW9vJrm2mcJIJWLbcn7wqXTdgU9T1XU9KttThC3K/Mh3I4OCp9QabaWJjXdLcSXDDgSSKAfzAGamvryLT7G6v7kqYrWIyFP7x7D868fT4i+JBqDXRvtylsm2IHl4/u4pRg7Dc1c9evLKC/tnt503RtwayLHRyixi9dbho+EeRAWVc8DdW7p1xb6pbWM0cgCXqqVx24yw/DBry/xB8RtUGry2+lvDbWkErIFEYbzMHqxNEYSsEpq56oqhVAFB4rM8P6wmu6JBfqgRmykiD+Fx1rSNYyVmaLVDTTSOafnIpmetAwPQGkNApO9CExjkYrrrRbzUdMtLiPVLi1RU8uRYlU/MO+SK5Irmuh8MaikEM1rMyhWcEEn14/womCVzU/slGGbnU9Qn+twQPyXFQv4f0ycAy2vmn/AKauzfzrSeFvNKjhe3+FOAwnzPuNY3KM+LRtNhGUsLVPTEYq1GqIuIwi47KAKeyKW57U6JBzlQDikFxuS2BuzzUvXOWagAr9PWl3e4qkTdjQO+KQqWPQD8acAFXOaikuNrhM5PpT8guOiZYpnkwXcKBtHXrVjzro8iCMD0Lc0212ZcBvmD88VobR6n8q1UV0JueVilplOBzXpnnWHdaKQZFFAxy8VWvRmzn/ANxv5VYB61BdDNrMP9g/yosMS1X9ynrtFTheaZZr+4j/AN0VdSLewxWihchsjVcjpTvJYjpxXQ6VoDXaF2YKorYHhmMD/WD8qluK0Zai2cN5BHak8o+ldw3hlCOHH41EfC57OtTeIcjOKMeKaUxXYP4VlycMpqtJ4Wuh91QfxovEOVnLFajYV0Fx4cv41LC3ZsenNYE5EbFWOGHUUrodiIjBpDTS2TTqQhCM1EVqbGaj2kmmBERjNbegD5JvqKx3G372RUtlqj2KyBYRlv755/IVx46nKrQcIbnRhZclVSZd1K3Z9UnZe5qhMgQEF13egpLjUZbl3kchA3LY4qi04K/uyR/tGvLw+Uy3qv7j0qmOVrQRdSaK0ikTO4zYDDHPFVHuHeULyoIwAtU0LGQIqlmY/nVS+vHIMNpluzTL/Jf8a9mnRhSXLFHnznKbvI20aKL5gQ8n90dF+tQ3N8sKs8rFielZ2ntLHAiuMZ9aZAV1DWlglQ+WuS/PCqPWrZJfsLwXsjx4KIo3M/YCp57hXOxBsiHQd2PqabdzxOwjtoUggX7qIuM+7epqFQX4A5p2FcsQsC49uaW7u1gtHY845q9Y6MZsNNcxW6dxjcasaxb6JY2EYhzeX0xxF5j/ACr/ALRUdcVNmMxbrxDeS2CW8G6KaVOg6xoe/wBTXOT6NJs3+YC3fNbXlLATubfu5Z+5+tQSzGM4X5kPeqsSzndqwtscYINdnouq6RpUaGKCJ5h96V13HPtnpXP6loWqauyNp1jNOTwdi/1qzpHwq8TXTA3N5bWY7rkyP+S0mNHXL47uXmCWsQkdvlXcMjPpUN14gfVbhIZrjzGiHI6Dd7VDL4OsPDDYa4uLnUGTlpPlVAe4X1qibSC3uA20jAyOaaQmXWYbSR2p2nqupM2G8pF/ibvVOeZWjYAdazDc3VsrSLshiZyse5iN+OpHt2ptkpHcxaPoisv2p5JT/tPtT8QK20u/DOkJmOW2THeGIKf++uteQXl3qZi8xpoViPRi5/wqlLBfyH99dwJ/wIn+lSXsetXvxC0q1z9mhEhA+9Id386zD45v9StZ5RmCDPlx7e7d/wAh/OvMktXNzFbxBru4mYJGofaCxrqLmWC3Rbe3OYrYeX8vdv4m/E0Axlzdys37uMv9az2tri5yfLCkde1a006W88atgBl++WH5U2STjIHWqJMN4ZLWE/u1Zi3r2rN07TotW8RR+cm61sx591z/AAjon/AjgfnW/dhfLYkjgE1b0WxTS9LEU0ZF1efv5gf7n8C/lk/jQ9gRSuzNc3T3Ev3pGz7fSri7okSNidyjmn3gWazHkx42tll71JpxJTbIu9gOpqCi5Eu+E7flLL1HUViiO4spliAkuV5Pmt/WtZJCsxU42n07U253bTtAJ9CaYGDorWsustdXiCSRG+QNzzXcL4uW3jVI0jGO5HNeOajPdades/ITdzx0qJ9dmccMBn+JjUjPYZ/Hcg+VBFn6ZrJuPFupSjO5kQ9+FFee2b3V84SBrm4kPRLWEsxroLXwN4kvWXb4evue93MIv0NAF6518OB5+oqO+FJJqkNWglP7mG6uT+OK6ax+FXiBlUy3Ok2OeyxNM4/pW9Z/Ci1IP9qaxqM+D92JlgQ/gM0AedyX9+gyLK3th/emYcVTbUGnbbJrCM5/5Z2sZc/pXs9r8O/COnN5p0+KVv71zI0n8zitUT6DpigRLaQL2EUap/IUWA8Og8Palf7TbaHrF4D/AByjy0P51u2Hw88RzMMWGl6ev/TZ/Nf9K9KufGOlwKSjb6yz47+13UVtZ25Z5ZFQH60WC5q+H9Lk0TRILGaVJp0JMsqJsDMT2FXyxZqc3B2g5pdm3FADQrlgc45pJywIHapVHIxQ4OcMBTER/afIt55SThIiB/vVzA447962dZOy2ii7s2W/Csgbe1TIpCGl7UHr0pveoKHZ9KmgCtIofhf4vpUGalVMxOO74QH6/wD1s00tQYkrsxG7q3zn8f8A62KTpTXbfKW96UHBoYIkPAwKUdKjzls04nrzSGLjNY2t6W2oQo8EphvLdvNgmx9xv6j1FbGcU0gBSTwFGST2oTCx53q+g6Zrchm1uzm0/UVwr3dqu6Gf3/8A14P1rQ8PeGtJ0yRJLNXuZxkCaRcAA+1dPcywRxPczGKGBf8AlrM4RaZY3tlcRl7O5t7iNcbmicPj8qeorIvJCPJ2Nz61xGs6H9mhuNPuLN7zR7h/NCxDMlrJ3ZfUewrvQcCobloiBG6By3RaSBnkGn+B9OacNDqwlTd93yyHHtivT9E0uDT7RIoYfLiT7i55+p96f9p021ultZp7eK5PIhaUbvyrQjkR1yjAr7UNsFY5fxHpV6t9b6vpsKyzwo0csDcedEeq/X0rz+fwbpuoXTTafqEdkxbMtjdAh4W9MV7UduwlsbR1NUDBBI5ma1AQHAkcKM/nQmwaRyvhXwnDo85neQXFwRhXC4VR3x/jWtq8eJLT/ZuU/nXQRoiAADkjj6ViayOYzn7s6H9acWxNHN+I9ChjhudNvg6aTPKZ7e6UbhaSnqG/2TXM2fw/uhIrfa7GSJjhZVkyMfSvY7koVwyb9xwFA5PtVe10WNH81bBYsjPCDJpXY7Io+HtFt9IsFt4QcDlnxy7etZ+r28NleXv2yBptG1OPy73YMmF/4ZPp611IAC7cUjhWVt4G0DnPpSu7jtoeRH4YX6ziTT7m31GzbmOaNx/48K77wv4dj8P2kil1ku5wFlZDwq/3a0ovDcBk3wWBTbzlU2j8quRxiIFAoUD2qnJiUUc1rUENnfzXF3E0mlX8P2a/C/wL/C/4VwN38Nr+O4Eumn+0dOk5gnhYHcPevY3jV0IcArVCDRbcyeZaQuitzmIlVb8uDQpA4mN4P8Knw/HJPcY+2TJs2A58te9N12KOw1N7i8QvpV9D9nvOM7PRq6pY/KyuCD3zTJIFuFZHQOrDG2lfUdtDxa58A6haXeYU+12Lcwzw8iQdq7vwh4cfSYZbicbZ5I8bP7i/41sW2h2ttITazSRxk8pG7BPyHFawRI4iF6Yp8wuU4vULWe5lvTbf6+ERzx+5U1x/iPw5LrV02vaShliumzcwr9+CXuCK9J0wZ8QXII4NuP51Lc6JaLffaY2a3mbqY22lvqO/5U3KwkjgfB/g6Y6jDe3luUghO5BJwWbtx6V1fidXs7iz1RE8xLdiJV9Y2GDXR28AjXl2dvUmnTQJOrxuu4HsanmZXKeGar4VubS+Mlspn0+U+ZBOgypU84OOhFdl4E8PS2szX0y7C42LGRgkev0ro4NAisLhhbXM0Ubnd5SP8v5Hp+FbdtBHCp2ZLHqT1ocwUDhNV05E1DUdHuTst9UXdFIxwqyjpzXno0C8tb4213BJHMp27CPvfSveNS0e21SDyrhAc9Ce1RW1jc2ZSKS+M6RjA8xAWA/3utKMwcDF0Lw8+meEp7V12XF0C7qeq8YArjfEVjc6x4atJEiZr3SS0NzGB83lnlWxXrmAepyaxrzQle9W9tpWt7kDBdP4h6MO4p8+oOB45ouhS6hexW0SF3c5bHRF7k16drMBjSztUJI5iX6bcVtWln5IJcQ726mKMJu/KqWrrm9sv+u61Sndi5Tz3xXZTav4d0zVY1LyWKfYb1R1jIPyt9KxNA0GbU9St7ZFJeRhnH8I7k165Jo0kGoyXunyCKWVcSxsu6OVf9pf61oWECWqNstrW3kb7/kJjNT7RAoMw9XZLfxVAJm22l1E1qznouRtFePT6PcWupT2U6MskDlGzXu+q6bBqlm9vMvyt37iqEeivL5aanFaXoi+WOV48SYHYn+KiNRdRuDOf8HaO9t4Uv5lUrJdHavuFHWuc8bW82oWulawFJi8gWkp/uyqTwa9cCAIEAVQBgADgVhzaDLDdTvaGOS1uTme0mXKOfUehpe01Bw0PLfDWjS3ms2cYBB81WPsFOSa9J1KGa8vNZ0gE7r+wZrcHu6c4rU0rRLPTVZre0WBn+9824/TJp+qaUb4QzQymC7gbfDKv8J9/UUOorgoOx4LBbO0nzArg857V69pVm+leCdNifIeSVp8Htu6VpDQbG/ulvL/AEm3F5ndI8MhEcjepSrGu4e1jzwFIAA7VXOnsLlZ5r4vjkutA0y4JLG3nlt5R/dOcisHSNInu9QtoY0JkklULj616ze6FILq4khSKazuh/pFtLxk/wB5T2NSaR4ft9Pf7TFC8MrAjLtkqD2GKXtEHIzK8QLNdR6/pqNuaWyEsQH8Ww5OK8hihdiGxkV7zrOlTTyQ3tg6peQfd3cqynqprAtPCNnPe+dJYSwLu3NCXBT8MdqI1I2CUGS6Gz6Vp/hhZsoGPJP8PmE4/nXlN3ZSx6rdW8isJI53DD/gVe56tpS6lppts7JF5iZR90jpiuduNDj1e5WTUoJLa+UBZZYcFZ+2760RqIHBk3w4glg8Ozq6kI05K/gBXXHvVewtILC1jt7dNkaDABPP41Z9awm7yNYqyGDjNNNOI59qQ1JQ08CkzyTSk008ihCE71a0wr/aEaOcLJ8h/GqopVYxzJIOqsGpvVDR6BaRSG0EUjbnQ44POO1LkhcbBvpbGXfEZQ4dm5JFTsnnJkHDA9KxSvET3KoGW5Gc+lDEovzrx6gVYQEp9wg+hpwViDlRx2xSsBUjMjkY+4exFOe3B5bPr1qwFYHO3A+lK6OQSKrlC5W2EZZeR7VGkOJCzp09fWr6xnbjNMKZySeKaj1FcZaxhFIC8DnFaQUkA4H/AHzVCHcruBnGKtLOwUDBq4MmR5bTgaiz604HOK9Q88kzQeBTBmlJ4FAxQajuMm1lx/cP8qdu4plwf3EnpsP8qaAlsz/o0X+4K0YCAw+tZljlrWI/7A/lV6MMD7VqpEtHoWhEGx49a1K5vwtMziWMngAGukrlqfEdMNgoooqCgqCS7jjODkn2qVztVj6Csh3yxPrVRVxMmm1NgCETB965PW7ON9NvZjGvmGNjnFbshyao6kvmabcL/wBMmqtiWeaaGG/s1N7lzuPJOa1MZqlZGG3sQc4Xcf51KJ0lXO/bg/dFF9SeW5K0iDPGT+lRgvu64qIzpGzMzDgYKntVT+0Gkdl2EJ6nrQUopFyaTjjk+tUmk2gs5CovVjTTcptZ2bCr941j3tzJdtn7sa8Knp/9egZrxT/aVLDiPPyjv+NB5fA5J6VR0SK4uZnt4Y2kkPYdF/GpdWMti72gINx92VkOQv8Asg/zouAXF2kzC0tBj/ntJn73sPb+dOeSG3jxwFUdqxYS8LHHBqO/u5rF0uZV3BfmoA6yw0bVL8eclr5EP9+dtgx6+tVJNsczLbf6rPzyf89G9fpTX12+l0uJJnZXnXcUP8KdvxNVknOz0xzzSGWCzZ4ORUdxcvbw7lPIBxWlp+nWksYku7h493OxMZA+tdBbN4TtY1M0cbsO8vzn9f8ACgDz3TNXvtWukto/MCn78u35UHck9q27mWNZN53DauyP2FdL4i1aK4SPTrNfJtosO6oNoY9gRXMXDwhC8pwg70JCuY2oX8nnbGbaAK6LSNR02ygiLiOSTHLMMmsm+06ze1+2TqxQDZGinHmsfU+gHP5VhG1iSRBGjhSD/wAtTxQwPS18fW1qSCiPjpkZ/TpUcPxCvNWv0tbNRGnLO3ZEHU8V57DYxyTcWzSk9jKa7PStPTTNN2CJI5roCSVR/Cn8K/1osDZNc3TztLPI5LMc/hWZcyiRQF4PqasvPmaWIp8oGQ1UJmCIvPWmIhs1upWjtN++SR8A9dvvUd/L5uoCKIA2kf7pA3UKO/49a1LONbbTnvzKVmuCYYV/2P42/wDZfzrNuOXO3YrE/LzyR3pFIHKFY4ioZQ3fp+VVppBJeuhQgL0PY1WuL/7PqQRhn5QfqKssm9i8YLljxjvQBe0m1igim1N1IeP9zbn/AKaN1P4Ln86qyrM80ysV8ll+Uj72a3dQtfsMVrpqyBhap+895m5f8uF/4DWM8bG4L7wY+OO9Ai19nWGyjTmXyxnBUEn6Ux5cRD5SuR0NV9RmkFuuyQqc9j1qG00PxFrhL2sTeX2dzgUXFYuaZD/aGqxxyf6iMGafn/lmgy1akUn9oTS30zDzJn6eg7CpZfDl54f8PtDcyJLqOoEK20Y2QqcsM98tt/Km6bbvBCTc4AHIJbpRJjRbFvGi8IOmM4rmpL65t7h41I+qgV2FobB8SXNzIQ3SOPAA/GrEdz4MsmLyWETOO7/O2fxqSjjLG21i+ut9tE7juWICmuui8HaldNH5kkcKfxfKXb+gqw/xE0ixUJZ2qqB6DH8qybr4ozu37lFXigDdn+GOkXyj7c08xHYyBB+nP61oab4K8JaIuYtMsAy/xSp5h/N815zc+PNSmJP2koPrWVN4pmkz5l27fjQB7Y2saPYIQskKKvZAB/Ks688dadCpaNixHGAK8XbWxJ/fY+9MOqyH7qoB+dFwPUbn4hM6/wCjxkfhWLd+NNVlJCyBB9a4VtSbad0hA/Bf51XfVok6sjfVi1IDrp9evJh++u22+xqg96X7ySEfWuYbW052MfwTFQS62SMF/wDvqSgDqXvGxzsTHTca3vAwa88TxHerrCjSEDt2H868tfWE/wCekYP+yM1658G4zc6bqOoMxIeVYkJHZRk/qRQFz1CMAyDIqR9pb2pIotxJp8igHpVCGRLwf0oOC3PSnquaTb+9C0AYetOHvtg+7GgH49ay+ntU91IZbuaQdGc1ATUMpbBuyabn5qUnFRgfNUvctE+Kt7FFin975n/ko/rVQH5ee1W7zCRqinptQ/8AARz+rH8quJLZUApQKUClxSsAmOTQOopxFHapsO4xuSPTvVW+vY4FVHPAVpZB/sr0/X+VW8c1zOuFf7XSGQny7q0lhXH97rTSEzxvxd4luvEWtTTSSsbdHKQRHoi/T1Pc1n6Pq15pGoxXdpMY5EOTjow9D6iqNzA9tdSQSAiSNirA+tPigd8YBx3pkn0to+oR6nptteR5RZoxIB/d9R+dcb418U3WleHg9s4jutRdkSUffSMenpxjn3rc8LCZvCdir8SNajH5cV5p45f7TomkXAV98ZaFz2BxjH5rSiNnFeaxk3k5Y9zya9c+Gniae7ifTbuQyPAoMTNySnofpXkMQyR/Ku9+HNs/9vmRBwsJ3fjTewLc9Y1LUoLeQpK/7uGNriX6L0/rXgXiDxJe+IdSkvLmVwhP7qHd8kadgBXqPi1JptR1C0jy0k2nMUA6naTn+deKAZNCBs7HwV4svNH1WC3muZH0+ZwskchLBPRl9K9b1g7o93/TRMfnXgVjaPNNGijLMwCj3r3LVGMWmxq3BXyw36U1uA7xT4qGieG59TtsC7nlNrZlhnaR95sfgf0rxCTV9QmujcyX9y05bd5hlbdn612vjgST+BtIlHItb+4hm/2WPTNedqCxHf2oEz3HwB4pm17TZbe+l8y9tsfvO8kfTJ9811V5qtnp1leXk2DBYQ+c6f3n/hH8vzryz4WROusSyYYKsDhz25K4re8UmW48NeKrZMmSN4J8esff+VSl7w29Dz7VvG3iDWL43Fxqc8fPyxW8hjSP6AV6J8OfGF1ray6Vqc3m3MKb7eZvvuo6qfUivGVGW9vaux+G0Un/AAmlhKgOFLlz/s7DmqYJntr3Nosr/aJQsFvEbi4z0CDpn/PavFvE/wAQ9W1jVHksrya0sUbFvDA3l4XsTjqa77XfMmtvFNrGCZn0pWjA6sAxzXhqfORxxQloDZ7J8P8Axrc64zaTqsxlu0TfbzEfM6j7yse5rufOi8zyXIA2GSTnGFH+f0rw/wACQTr4z0woORLuOP7uDmvR9YmlkutYs4s+bJppaL8Cc0rahfQ8+8Q/ETVr7VJf7PvJLOyRyIUi+Ukereua6zwD4yuNaMun6lIHuVTfHLjBkXuD7ivHBnA9q6/wDBIPFNi4zwWLf7u05psEz1SwZIdeuJHOALf8+RiuZ+IPje50i8TTNKlRLhV3XE+0EgnoBn/PSrmqXbW97K6nACxlvpvGa838dJIvjbVA4+9KGX/dKjFFkB0fhD4hagNVhtNXuvPtpm2+Y6/OrHpz6V6rPOsSf7bttUe9fN9nEzTpgHO4Cvc726e3vdE87PzSYb67Kmw09DjvGXjy8tdXk07RplhhgO2WYIC8knfk9hV/wJ40uNUu3sNRkVpyN0UgXbv9QccZry7UVlGq3iyD5xPJu+u41t+DIJP+Ep09kzkSbj9Mc02tBJnulxdRRh90hRVRnds42oBzXkmofE3Vn1GVtNaGCyDfuo3gUll9Wz610mtXk88HiC2XPmixJTHpnn9K8hRdzcdD0pRSG2z37wt4hi8R6Ul0FEc6nZPGOiP7exqbxVrtpoGjS3zYkIby4I/+eknv7f4Vwnw5We2s9XkUHywif99c/wBKo+ObuS98LaFMSSpnmDf73FLl1Hd2H6R8UL86ki6slu1k5wxhi2tH9PWu81QiSezZDuVpUKkdx2rwWFCW6cZr2OJ57fw3o3nqVlVY8g9cdv0qrC5jf8Qa3a+HdGl1K6QSkv5dtDn/AFknqfbOa5Dw78TJdS1RLPWoLaKGY7YpoE2+W3YNz096x/iJdyXmk+HZskxtFNn037hXFW0O5129e31pcqsJNn0csTeYUON4baAe5rkPFHxFtPD2pNpumWcV5PEdtzNMxxu/urj0rYg1CVfEmjW82czQqTu7vsrwe7aR9RuWf75mct9dxpRgrDlJnvuja3ZeItMj1CxDIc7JoWPMb/4HtU2t6nYaBpEmo37M8atsjij+9K/p9Otec/DWaa0fVs52m2Dgf7YPFVviLqE97peh4/1DRu3/AAPODSUFcbk7HU+GfiHa65f/AGC8tI7OaU4geNiVY/3TnvXbQweYpywUDue3qa+brBZFuY5F++jqU+ua9v1XWbgLqNsuRL/ZzyJ9duTQ4K4KbsYOofEvTbPUzbWltLc26Pteff8Ae/3B3rfvL231LSILy1ffDL8ynFeCxIZMYr07wc8yeE5o5M+XHcfL7ZHNU4oXMzv7m8tNOsZ77UJmhsbZQZGTlmPZV9657SPiLoutaiLD7LLZPI22CR33K57BvTNcx431Ca58D2AB+STUpRJg91HH8zXn1qsizq6Agg5B96XIrBzM+kNjSSCFWVJD/e7AdTXHXHxF0G11BrMfa5YkYq1yqgrn2HUj3q9q2rSpDqsatiYaUZVbvkqM14hbQPMwRB2pKmhubPpC3K3EaSRsJI2QOrLzuB6Yrndf8W6R4bvfsl201xdkAtHAoIjHuSRVDwlqs9j4Y0dX6vctCCf7ueP1NeXeIZpp/E2pPI2XNw4/I4/lQoIHNnuumala6tYxXdnJ5kMnQnqPY+9XPWvPvhfJMLK9hfPlB1ZfqRzXfk4rnnG0jWLugPSmnpS9RTT9aRQ00lHfmjPNAhDkfSkJpx/Soz0poDudEk87R4Gz04PvitRAyMrDg5+bPpWF4Sm8yymhPVJMj8RXQOQM5wT2z0qbWExs0saPv81FXuSeop4ZSu6q0rp5Rct8ucbdoqOJp4ZQJmJjPQ46VLlqFi9nIyM0m9h1AFGRx3oIyp+U8VW4hGZcck1GWIi5ApSS2MVFLlRz1pPRDEgdfMJYckdRU3n7eMHj2qooIK5AwauhVIzwPaiL0BnmRFKtLSivWPNFwKUD5RSUvaiwXG0ycfuJP9w/yp/WnoIzkSZ27TmgpE+iWM11bwKiEjYuT6cV191b21rpv2bYGk29hzn1o0M2cGk2yQyIAY1PJ9qu29uguJLgPv3fpUORqooreFlIluPZRXTVjaPbtBe3O7HzAHitmpm9RxVkFFFFSUNl/wBU/wDumsFj6VvSf6tvpWEBj5quJLI2BDEGuY8R+JodPWSwgxLcuNrn+GMf41Y8UeJE0VfsdswbUZBz/wBMQe/1rzOVt0xV929z971NUKxHfXUgmKCRmHqRiruiXNmsztfrJJsH+qDbRitCy0TTmRX1PUh7RxL8w/E1l6nbQmSWTToXjsxyGlfLSf7R/wAKQy5eXcV1PmKCO3iHEcSDgD+potYVmRi8yRxqMs7dhWRZQ313KI7SGSZh/Cq7q0JYpgipOnlsv309x2oFdmdeRzXH+pUiEN8oPVvc1UFpcqzqwx+NdHD5briQhV7mtbT77Ro2O20SaULuZnOcCgaOX0j7Vp6SSO4CMcR4PLn+8fYVYcb1wRyas391Je3UlxKAoc8KOAo9KhnhK28b+ZsaRcqMZwPWiwFmy03T2Ae7uGXHJUY4/GtW5fw3a6bLKllHczIMR+eu8bj9eK4RNK1AOUGpb9xwB5X/ANetnyBaLbWay+aIuXk/vSdz/T8KAKsoaXLsm52OcmpDa/aYNxkZCx2KoXJY/wCFWzbmV4kQncxwKkhR5rkSqm2GJdkXuPX8aGCZkf2Dqvmtm/XB7lf/AK9SaZo7xXrXN3MZUtznaVwGf+H/AB/CugBOOeTUd7Msci22DmH/AFnu560hmfcyP9pcsxZjgk+tKpd5Y4tu53YALjrUMzDzQV9K0dIj3u14TzAuE/326fkMmmSXJ4Ifkh2h44hjnue5rNudOtnZFxsJ/u1psvHFQumZFP8Ad7UMYzTLK3SUBkKxxoZZZCOqrz+vSnQXLXsjzzRgNKdxx/ntVtx9nsViKfPeHcT6RJ/i3/oNV7FBLtjXB3Z79KBEUyKFk6DNZjRveXNtZ2+3z5XEaDPc11o8OJMp83UraDj/AHsVFHoOhaBaXGq29+95qUY2RSnojvkZA+m6gLHP6xOPtixW0O+CHEEQH91eN34nJ/GmNZl7iN4k3PjBGMnHtUUkMTSR3MrlGj6c8Yqa08e22hPLCkWJQ3J9akobceEdZ1O4R7XTJmwu3ey7Bj6mtvSPANx4aDa3qlyjR2q+cbdQCGYfdX88VkXHxbvyrGIELn7zVpXWs3t34Ps7m6m3SapIZFT0ij4H5nFNAY17cNKfOZ/mY73PqTVvSrjQnjdtUbzCDjyi2BXN6nITKgLHGOUxxj61yesNMtyZI2OG60mB7ZF4w8K6ZzBY2vy+ic/nUMnxX82dYLK2G6RwkYC9ycCvGYAnkZmyZMetbPw7s/tXjWKS5yYNPje9c9vkHy/+PYpAereIdRludYkSSRXkt1EOc9SPvY/HNYk9yTA6Shfmzx7UjBnneaeMEj5g/ck9az725cNxhh/dPGKGBxmpX19p9w6IxaPPy81Tkv5zCZPMOcfhW/qdn9tVig+Ycj61yTIwkZJAe/4UhkR1iZsgyEEdRSrqfHzzVH/Yd/dShYLctwDu/hx9a1LLwHqN02HnghHfOTQBSOpRqu8+YwqP+3owMJF+ddhF8O0CBbnU/wAEjq9afDrQF/1gu7g/7+P5CgDzx9dkPQ49lFINVvJ/lRJ5PYZr2C18I6La8w6OC3q5z/OuhtdNEMaokFtCv+8Af0oA8Gh0zXr3mDSrgg92Qj+daVv4G8VXQ/1EcQ/25AK9uJSLBea1T2wWNRvqttEpDX5x/wBM1CinYDymD4Wa1Nj7TexoPRFLVowfCW2XButTk+g2rXaz63ppJ3ySy/VzVR/ElhF/qrUZ/OkBh/8ACC+GNNhaa43zBOvLOT9AK9W8HabY6b4et4bCERwSZlUAY6151c67/aMQtzZq6scAbTxXqVgFstLtbdQAY4VUAUAascoGQR3pPMDGqUchC88inpISBxxVCLZZcA9BVeWby4pZQeVU02WT5QBVW9lC2Eo7txQMww2fpQRznikHBp3qRUMoYc4oAwR70dqUdQaQyzaosl1EjH5S3zfSluW3NHn+Jd5/4Ed39ajjzsnZfvLGQv1Pyj+dSzqPPcDop2g/TirRL3IgOKB2pcelJ0pNCA0uKaxCDcxwKZ5yq2GDDnnIoKRIhJLHHsKx9e0x9RtAbdhHdwP5sEh/hcf07fjWujggFTkGg4yRSA8j1fwvb6/eGeWRdM1f/lvFKmIpf9pD3FS6N8P/ACZQb2aNlU8rE2S1em3NjFc/u/LMhU5Khd35jpTFskscM0PlEe2Km7CyFsrUQQIgGwBcBR2Fcl4g0aONbuC5heTSLw738pcvbS/3x7fyrtg4U89fWmT+UsJaQgAHOT2pIdjxqD4fXDOHtL2zuLcn5XL7T+Ir0Xwz4ettIhxFlnOGlkP8Ten0rRj0m3aZpvKw5PXZtrTRFVQqjAHam2wSRg+ItJnujb3thtW+tTui3dHHdD7GvPNS8JWer6hJdafKtnO7ZuLG5Gwxt32+1exEAn1rOnhs7mVY3jWVuw25x60rg0jkvDfhC0sJluZnS5uI+UVB8iH1962/EMf+hTDuADW0sCw4CIFHpisrXxm1nx/cppu4NaGRq1jHatfJeQPPoepIPtAiGWt5ccSD29a5SL4cyGfzLHU9Pu7Y/wCrkMuGx7qO9eqyRRSWQEp/dNGN3OOoFV9O8Mw2skk9tYbTIcsxHLUczCyK/hzQo9EsfJV/Nmc7pZcY3HsB7CoNXtZbW+XVIbY3KmNoLy3H/LWFuuPcV0e3Z8pUqw4we1NbBU7+3U1N3cdtDyKT4fwXk5udB1G3ns2OVhuJPLli9mBruPCvhqHQIpJHaOW9lXa7J91F9Aa1hplvcz+dHalx/wA9NvFXkQRHy9pUjsafMxJIxtat7m3u7bV7GISzW2RJB086I/eT6964K/8AA8Gq3j3+g3MCwyOXeyuW8p4G/u49K9YdfM+Xr7VRl063nkWT7P5ncPjj86FJobijC8JeF10EPcXEqT30i7AU5SJe4B75q14gsryK4ttX06MSXVrkNETjzIz1FbsaLGNqrtqQAudtHM7hZWPH7zwZBqN419o0sfkyPue0nby3hbuMHtXY+EvDH9j+bNM6PcSrtO3kIOuAa6VtKiuXEott4/56FeP1qybY24CFSvFHMxWRyM9guoarNbP0mtnX6VzOr6CNeSKC8kSz1m0XyvMl4juox0O71rtbXjxHEfWKQVqXNrDOCrR+YerLjI/Gm27gkjz7w94Ga3vY7i8MbiM5WON92T7mus8TaZJfaWDbNtuoWEsTf7QrYgt0hUBI9i/SpHGVFK7Hax5Df6Hb69fNewyC3vTxc2kvy/MB95T3rp/CnhkaddNMwVpHXbkdEX29zW8+l2ckxldPMOeTtG1fzrVtzEqARgY/nQ5MEkcp4jsp7LVIdWtoPOjCmO4iH8cZ61yA8GQz3Hn6XdRSW0hyqyna8f8AskV66ypIrbhlcc1UisrZZhKtuEJ+67kDNSpMGkZuhaNHpWji1GSWy0jf3jXK6jpUSQXWjahuis55POtLnGRBL7+xr0Vht4Iqvc26TIC0W8ngLjOaFJjsrHmWj+BJlvU+1NA9qOS8UmS49q7DXULJDx0dOnatuGzWBdiRIrdWRWHH1xWTrv8Aq19mX+dUpNsTSSOY1XSUaCbQr9zBC05nsboj5I2PVG9M1DoXgaSO+ie9MRt42z+7k3b69FlgWU7WTfu424zupIoo0DRxhMp99EYEr9QKlzl2DliY+v2dxK0OoWf/AB+WriWIeuP4fyrjb/wmmtalLqmkGMrcHfNayMI3gkP3htPbNel4y3AOT0qB7OJXE7xqu3/lq2B+ppRnJDcUZugaAmi6ZJA+x7mY5ldegGOFFczqmjpc2Umg3h8gLMZrC8YfIM9Y2PbNd+fkGKQ2/nfL5RkLfw460Kcrhyqx574e8DzQX0Ul8IhDEwOEcNvP4V0evQTQ3UGqxRNMsYMdxGo5aNuGxW+kCRBkj8vKfeRGB2/XFOC7s+mM0Sm2CijyVfBMhu2l0yWG6s3bMT+YAVHow6giuzbTRpvhtLVMZX5nI/ibua3ntba3kE0yR27OdqtI6oXPpVfWRiwcY7VXPK4uVI4/UtJjkgutGvm8m1u3W5srk/dinxyGPYGodA8AzQ6jFLqHli1jbdw4bf6AD0rvGjR7SBXj8zcg+UDOeKLVbWItDCI0deWjR1yv1Apc8uwlFGH4khkgvo9VELSx7GhuYl6mJhg/lXI2ngeYNiznhntJOUn8wfd9x616g5BG3Gc1QX7HbXSrKkcM78qm4KW/ClGcrDcUZmoaK8XhyGzsjiS2w0R9wc1xl94cOt3z6lY7N0v/AB8W7NtaOT+Lg16uRnFZ13BZpIZ7mOKMdPNk2rnNKM5DcUUPDGkf2NpYhODKzb3I9fSt4/0qOPaY12HK44oBx9azm23qWlYeDTSMGlzxSZ5pLYYhFNxzTicU3PSgAPIpjU400800DNrwrcrFfSRueJE4+orrxtkPzdP7tefab8uoR4OCeK7ayvPtGY5DtkUfNjuKiekgS0LrsGXYOB/WiJt6mKUDgYH+FB+RQTyO3tTDztZh16Ur2ETquwBCOR0qKeQodw57ECnhvNXY/DL096YYwep5obtsIb9pBXpgDuaryzEjqKmeJMk4GaryKm3gDP0rOTZSsCSDYCcHPrV5QCoPH51mMWER6DbVuOb92v07dKuD0Ezz6nA03NKvevZPNHdaKTNNZsD3pXExT+lRvkBvTBo3FgKSdxHGxbsOtND2LenTsLC2O7H7tf5VtWmsTQxNGD8prmdNlEmnwdMbAKuo/OKJLUcZM7nwzM00k7MSTgda6OuV8IHJn+grqqxnubw1QUUUVJQ1/uN9K4/xDraaBp4cENeSj9yn93/aNdPqN9DptjLdzsAka5+p9K8R1bWJNV1WS5ujzJwPRR6VcRMotJNeySbC0t1KcnPJY960YPBmpXcSrNeW1mDzh33N+lc7qmoXGmnz41XA7r3FV9K1q61iZyHl8uEZ9iewoA6CfQ4dLvDaJeyXpC/6RLjaq/7A/rS3tuZ7IxhJPlXKY70tlCyKzzybgTuYYq9K5DgbTlvTtTEU9E1a8NpIgiltET92qsu0n3pZypUu7YVfmY1LJMDJ1yo4H0qnekyywWqfxHfJ9Owo2J6ixQi4tW89MK/RQccU1bC20+F4YA4YkGUl89uFq+r7VeRk+WMZ2+voKohP3LSNuLM2WJ70IpiwILi48t+I1G5z/simXEhnlaQjaGPA9BUj7rW3ChRm4O8n0UdB+efyot7G7viVtLaSU/7I4H40ARxObeGS7wd6/JD/AL5/wFVXtyrW28sdwNW7okXP2Q42WwKcfxSfxGtSCz0y5EbXWoLDj+FME0AU9MtMQNM+Srfu15/76P5cfjV6QrHEW6BRUtwkFtILe23GCP5V3dT6k1m3Himy0e4aO5tUlJGV8wAr+tK40Q2uptJdySCPEECl2J/iPQD86pw+bdXHBLyM3X1Na+qa3JrWk2WyCO3hkJlCRqACM4HT8a5rUjc2kBa2crKOQaBM6m38J6hePveW2t1A6yyc/kKsfY10iMaf58czRsXllQYDO3p9BgVwPh6/1PV9ctobu4k8hX3S4P8ACvJ/lXaGfzmeQ/eZixoAfLrOnafMgveVYfKM9antvH+mrcx2thpcMk8jhEyucknArkvEVql9CVYcjpUXhKP+zpLi52A/ZYGZSf8Ano3yp+pz+FAzqdc1Fr7xBczBw0Y/dR4Hy7V44/HNctr15dW1pbSWb4kAOQP4qlieW3kCXU0flqOCoqjqknmW0ezlVyob1pkmImsajdlvOuJIx6ZrubdHsvDWl2U3+ulLXszH1fiMfgg/8erlbTT/ALdrcFjGozcMiD8a7HUrlbrUDIF/d7tsY7bFG1f0AoQzPndZY3R0BTPT1rktatVmvUbYMjuK6t9hV3VvqCKyLsAXC7gMAdTxipGZSwfb/K0+JcmaRI1Uf3icV2viRvL1P7Hayr9msUW0hJ/uxjaT+Jyaz/ClvCviP7Y+GjsoJLv/AIEq/L/48RTZ1dmDGU+pwOpqhGZdbxGQ0hc5yM1iXIeSRcxZOfmFbV3uDqp6E9az3UgN8xyenHSpGZdzMYpCo4+teg+CLE2nhHUL+RQs2oXKQRf9co/nf/x4rXBSxP5bb9pbqDj869Slj8nw5olnF8skNkJnHbdJ8/8ALFMCKZnUgl19BxVSVEfIfb5rLkkA/N71IBJLHscBSfSqV1cNbzLZRFQ/A3notJgRQQxWzPboXJXklq5nUoI/ME8alY3Yjn1rsHV1j+chpcckd65jVEnuYN7QFNuQPf3pAaNgYooY4/MO32rWguraFvlyw968+g1SSJdkn3l9eKlGsvj5pgg9utAHocWvq5eNI1Do2DxThrdyCCpC+5xXnX9qoFLPNNz1xxUba5ak8RTSfVqAPQpdauC5DX0cf/AqoS68n2poXv2wED7gDhvauOTVpZiotdJeRu3yF6vQjxXcMPs2gXJ7DbZH+opDN06tbFjhrqU+woN5vH7vTbhv+ujGqcPhf4gagAPsclurf89XWMCr8Xwo8X3QDXOq2cPt5zOf0FFhFdru7UZFnbQj1kcf41C+ozr9/UbCLPZecflWwnwT1B2zc+IIz6+Vbsf5kVo23wNsNw+06veyH0RVT/GgZh+G5lv/ABRp1r/a32gtMG8uNTggcn+Ve3SSKWYgYrjdH+HGieFdQj1Gz+1yXSgorzSbgMjnjFdI0hKjrk0AXhL2pRMBVDdk5JNOEwzQBdeXIA9KoajITDGo7tUjTA4AqpdHLKM84pgQBfpmnZ4HrUQ61IOlSVYaT1py80w4JFOHFC3AmjbY0XHDSjP0Ubv8KlDbmJPBNVwR5kSk/djZvzOKmB+b1960RJMANuTzTQFz9aXHAx0qC7LLbS7fvbGx+VOwHM+K/FKaF4ffVI1SSaZzDZox+vzH8iT+ArxS68V65e3ZuZtWvN5/uSlFH0UcV0/j25aXwp4fBXjy8598YP8AKvPEOazA9d+H/jW6vrr+zdSl8yYrmGQjl8fwn3x0Nekyz4MEMTBZrmQRxtjOM9/yr5/8Fo58WaXsOD5459q9mubiSHWNH6lGlkRc+vlnFA76HG/EX4hXdpeTeHdDnkt7a3O2e5Q4llfvhuwrh9G8Y65pN8tzDqNxIf4op5DIjj0Ias/xGJE8SakJFKt9pckH61npknpQI+lNK1S31vRoNSgBRJxuMYbJRs8rn2NZ2v8AiBNI0a71XereQ3kQIf4pP8/oDWN8MlkHhR1fIBuH2Z9MLn9a5/xr50/geNl3bYdUlEoI6dQM/nUpajOJvvEusX941zPqNz5hJI8uQoF+gHSvSfh945udSn/srVZvMlC/6PO332x/A3r9a8fXLGul8GwNL4m04IDnzgSfam0CPfLifDR26Ph5u/ovevEfGfjS81XVHtrOdoLC3bZGIW2+ZjjcSP09q9N1mSQa3aQhtvm2syhv9rANeAFSjbSMMOCPShAzq/C/jXUtEv4vOuJbixZsSwyOW+X1XPQ17BrEqT6c8yHcjxb1I7jGRXz7bQs7cKTXubq8HhO2icnelmuc/wC7TsCZoavr0OjeHbvVflkNqiRQoejTEDr+f868O1DxJq2qXrXd1f3Lysc8SlVX/dA4Fd/4sjluvh/egElrXUI5JR32sowf1ryhVJ/lRYV2eyfDbxldaszaNqUzTToha2mfliB1Qnv7V3NzfwwtJ5uPIgha5lJ9un8j+leL/Dq2l/4TCwdMjazM302nNeg6yJZ7rWbFG+afSnMY9cZ/xqbalX0PLPEXjHU/EN80800kUAP7q2jchY1/qfeul+HnjC8TU4dIvp3mtpztiaRsmN+3Pp7V5yg8w5HQ+tdD4Ws2k1/Twn+sadcY+tU0JM+g/tKKViO3LAs2f7o7fnivCvGvi+813WrjZcyLYwyFIYkbaCBxuOOpOK9U1CV01uCHkfaLaVF/3uorwKeCSC6lgkUh43ZXz6g0o7BLc7nwD4tu7TVodPup3ktJ22AOcmNuxFe02jxT3sNm3WbLPz/CP/r187+HLB59VtFCMWaVCuO3PWvcrOcw+NNOV22pcW80S54wxGaLajvoeQ+O/GN34i164CyvHp8DmKCBGwuAcbseprV+Gviq7g1aLRruZpLG5bYgc58p+xX/AArhNQtJbXU7u2lUq8UzowPsxrd8F6bLeeJ9PRCQVmV2PoBz/Sm0SmermVbXXVkk4CJKW/I1yPxJ8T3duYdHtJmi3xia5ZDhmJ6Ln0rb8QO8l9MU6skpH5E1wPxCQza5bX65MN7ZxSIfoMEUDM7w34nv9C1OOeGZ2iLYliZsq69+PX3r3eW8i+zxyxnKTbfLz/tV88Wdm0rqAOW4HvXs+qrJpegaXv6WjQiT8OtS0NM8+8f+Ip73WpdNimIsLNvLWJTgM/cn19Kj8B+ILnTtbgtGlZrS4fYUZuFJ6EelZPiuyktPFOoI/R5fNQ+obkVY8K6XJda9Zp0AkDE+gHNU1oJOx7nNfRQK/mchI2mf6LXz9rfiC913VJL65lclzmNNxxGvYCvXtR8xteNozYW8spYl/wB7FeJC2kSYwyKUkQ7WU9iKUQZ6v8NvEdxqFnPpd7K0j2yh4Hbk7M4IJ71seMfEzaR4VmuLFzHcXMv2aFwfuccke/X9K5T4b6bKLm+vMHy44PKB925/kKj8SQy33hG8iwTJp18JmH+wwxn9aLalN6HEWWp3tnfpeW11LHcq+7zN5yT7+texy6iusaBaajt2+co3j0cHDfrXjFtbM7bu2a9at7aSx8F2MDjD7DKR6bjmm9Cbljx74mk0zwwPsEvlz3UvkJIvVUH3se/+NePaZqt5puox3lrO8c6NkHcefr612/imB7/wpKQCZNNv23r/ANM37/SuLsrJpMZQ5JwBiloJnvmm6rb3lrY3BAU3qqyp6f3q8f8AHviSfWvEtygkb7LbOYYowfl44Jx9a726gfRbHRHJOyyKLLn3PP8AOvM/EOlvZ+Kr63fO15mlQ9ij/MD+tKKHI7X4aa7PMs+mXMjSJGnmxFjkr6rXR+OvEzad4M36exinvZjAsi9VQDnB+g/U1zHw/wBL2XFzdcgLFsB9Sf8A9VHia1e98DSouWuNMvizqOvlt3/WhWTHe6OF0bWbzSdUivbWVldGywz98dwfWvf7TVrZmhYcCSE3GD/dAyP8+1eBadpk1xPFGiMXkYAACvWbyNdK1fSYSxMBiNmW7crtz+dDSuCZ5HrmuXOvaxcX08jnzHJRC2Qi9gPTtXoXhDVbi/8ACk9tdP5klmcK7HOUI4H4Yrzy40Say1S5sJAQ9u5Q5HX0/SvRfDGmtZ+EZ7lwRJdNwpGMIvQ/iSabQi94z8RPpvhNjZSFJZmW3WQdV+XJ/rXk2k6hcWGpQ3VvM0ciNncO/rn1rvNdspdT0HULNVLT2pjvY1HV124bFcfpGjyX1zHDGCzOegFFkB7X/bFt9kW52fMbY3Sj2214Hdahc6jfS3k7s80rbs+nsK9i1a0Fnf2SMf8ARZYWss9NuVwCfxryoaPcWd1LBPGyywuUIx1xSiDPXPCGu/aPC9pLeSCSVn8knv17++K828f6xNqnim6QsfItm8uOPPyjHU12dtpM2meCUwhEyyfaSvf/ADgVx/ifSGbxEb2JM2t6izo4+7kjkfWhWBnT/DHVJriyubCViywYeP2B6ivQCAVrjfAWjfYNPnvW+V7lgqIRg7V7/r+hrsRkDFYVF7xrDYbgjPpQeacaa33ahFAeQaYwwBS5+UetIT0xQA0HOaH6Yo6KfWgnvQgCBtl1Ec8hhXZXMZglEsb/ADLzXE5+YN6V0kvjLR4YhHMLkyqMNstmbn61FVXKgb9vepdYPII6p3FXgrEEN1H5AVwC+ONNgulkitNSYZwf9FPAruklV4QyFiWXIIPHNRF9xyjYCPnyvXsakJDruAG9e1MVSFXJGcdqduxIdtUiBrMWGVWon3spJAwah1e4vraykudOtUu7hf8AljI5QMPqO9c2fEXidsf8STT4wRnm6LVMlYuMbnRkZzuIyy+nSmpuCAcflTbGSeewimu444ZyPnSNsqOe1P8Al/zihE7M4Ld7Gnbsdz+VKFzxUgHHNezc8tkJbP8AjimNVkrxUe35jSY0QBsjPpUV3IWRo9jF5BtVQM81cVc5HGKp3LQOnyvG5Q5A3d6V7Dtdle1Z7e0htpUZZl7VrIzEglazrK2RTkQrGu3KhRgDPNaIO3gGq5r6jaV7HaeEJczzJ/sA/rXXCuC8FysdUdCOPLP9K76sp7msNgpCcA56Utc94s1pdJ0mVlbEhG1frU2LOM8e+IReXX2CGT9xAfnwfvNXn8sykkmQkdOlaYjgvWPn3qW+75jJICf0qWKz8KQEi81K6uyf+WcaeWv86vYW5zct1aROksj+cnTYRnFdMrf6PFGEVFUZ2quMZqxDf+GY0lTTdCt96oSJJTvI96o21zcR3UAiAZy+WJHAHehCZoxRMsK8/ebcw/lSXZa3hV3BUycJnuO5p1xcO7SSZyWrMlZ2VVmlaR4xjJphYvWlul35jebGiL97c3J+lJIILTzLmRgMkbpG/hFUtLtVE9xeZO5v3S89upqzfR/aYTbcYk+WgB9/c2pS3SzlkkRh5ju4AzzxiqcfiKKz1OG0NilyZ32qWGQKpvPHDIyRJmNVCLj+FRwKltkETzXRTcy/InsT3/KgRJqV21xfTzcBWb5VUYCj2rO0bXNVXWntlmKWMSNMdv6D8SammcHNRWyLaadLI4wZ364/hX/65/ShjEadsn5vmBzVXSNOkn8TQ3bOxghBmkQ9DjoPzxTWmBG/qK39CgK2DzjAMrbfwH/1zQHUus+dzEnrznvXM67pbavshVfnLgKfxro5jhhUEJWOR52/5ZoSPr0H6mpGV5Wii/dQ8wRYij/3VGB/I1Rv2XcVHORUbyMNwUHbnpUYYyuS4/A1RJoeHrMWqXlyV5lAhT+bfoP1q/tAXcpIJpY42t7C1gYbSQZT/wAC/wDrAfnUAkeaWaFomRFHD/3qBlW4jwo3uWO7vUmPsmjiIL891L5mf9lBgf8AjzH8qdcJtQnnIqDVpiLqO26C2hSP8cbj+rfpSGUllmM+6QIOf4TVe+lWSCNFOcMaZPMsQBY/e6cUyKCeZfkhklbdxsQtTEaPh5G/tS6v4l+aztWZATj5yNi/q1V5Lm+/tSJFjZIwBlRypPfJrStLd9D0aa5vYZIWuZlQI64LKoz/ADI/KoEuB5DXLkqJOBFt5zmkxlyUhge4xWPeiGaGRXG5MYJxW2ttLOoCKd7dR7VpQ+CvtEeHvI4h6Km6kBgacFtfDF/MiruuJ4rdM/3Fy7fqFrPNw7Lg+WD2ANdLr+mQ6Vb22kwzecixvM7t8nzMf8FrjSiRv1fINMRLKXcZJAx1rMmu44x7jtmtzTrWC9ugk7ssa8tg9fau7sLfQbKNBDYWuQfvGME/rSuM8tjtzezW1skTSfaJEXI5xuOP616PqN1FcX979n+ZI2KAD0UYA/IV0kGo26xSm3jiXYjNhQBjArkbeNIEdeTvbdk96LjsQQTO1is0y4bqwxzVBJ/tuoL5Nisr9Ax+8K0bl4o4ZW3Lv28/0rL0TVooXYEgZc7vWkBunw3eXmxmaGMjn5mJx+VWR4IWUATX+PaOL/69CeIIIgX80nAxgVCPF8aAnaT+NK4WA/CbSLoB7i8vJB/s7F/pVu2+FXhaAgf2fPOf70kzn/0HFQyfEa4KKqE/QGq8/j2+fp5nP1ouFjo18C+F4sJ/Ytscf30Z/wD0I1qWXh/SLAFrXT7S3B4JSGNM150fFepSHPz/AJCq8+uazN/q32D60XA9YFxFEuBIFA7eZj+VNbULNBl3iJ/E15AbvV5S2+76/wC1TT9ub/WXSn33UrsZ642uWC53SR59lFVpvFVhCpHnrn8K8o+xOet5x7GhrCNuGuDx6UgPSZfG9kBhZhVGXx9bRjKknNcMLCEjaZJDjsFpDZWxymJD+FAHoOkeIP7deZlLbIcdfetbf09a5jwlBHb6dKYxgPLj8h/9et/dg9aaETbiaA2cVAX4oEnFMCwG5qOb75z1xUJky3FPlYMzHvQCGUtNBzS5zSKQmcmnKc/hTQOTThjH1poT2FKeZeON2Akca8fTNWwMd6pWz757puSDKR+XFWs1ohIkzgUjcqfSkzSFsdOtFwPM9f8AD8d8txod0VgkMhm0ydvukE5MefqTx71543hDWLO58m4sJhz95F3qfoRX0BqGnQapA1vdRJJExyVYd/X2NUbfR44TsF7cyAfwyS78fieaze4HGeDPCslhdJeXibJSNkKFclc8En8M12+tafJc6ePs5UXMDLLAx7MvT/D8a0oYFjAC8496nKcdqBnkviXwifFrHWNIVE1Jflv7BzsZXHdc9v51h6R8PdburlUksZLdQfnkl4Cj6d69gudFt2uluw4jnXhZQdrL9CDmrENv8uJrmSUH1YkUBYr6Vp8GnWMVjbEm3gXarHqx7mua1qxhtZ7+3vlLaPqgAlcD/j3lHR/YdPyruAqKoA7VBPErq24DbikOx4hN8N9ZguWNskd5bbvkljkA3DscGu68G+EH0dmuLjablht+X7qL7Hua6S1020Qn7JbkLnJ8oME/TitGNQgwVKkdjRcLGV4g02W9s45bbH2u3cSxE9CR/D9DXm+s+Ck1q8kv9HdIpnYm6sZjseJ/avYeo9aoXen2dzMvnQrJIo4O3LL/AIUgaPO/D3gGSK9STUgiwpg+UrZLn0PtXb61D/oko9UNaUFvHApRE249RiqmsDMDY/uGhBYx57XyLZbl7drjT76ySC/hRctt28Oo7kVxbfDWV5xLpOpWd5aN9wvIEdf94V6npg3aPaN2EK556VLHpUUr+clmo/6aMoXP50XCxgeFfC0Ph9WmeVZr6RdrMo+WNfQVPrtlc+bb6jp6qby1PCt/y0Q/eT8a3/KMJ2Mm00MOOam7bKSVjya+8IadrF493pNwlmztmWwuh5ZQ+1dP4W8Iw6NIbmSRJrkjC7R8qfQ+tdQbUTL5vkp5a/8ALWUhV/WpgmxFYbCvZkbcp/EUNsFFGZruny3Vqktodt3bt5kJPTcP8elcTf8Ahuy1rUWvJR/Z+on/AI+LeVT5bt/eVu/SvTApkIUDJpsltlDNK0MVuvWeaQIn4ZoTYNI5nw94bh0xxMCJJW4BXhV+laut6W2oWqeRK0NzC4khlUfdYVqRpG0Imtp4LiEceZBIHA/KnAbzgUXYWRwGq6Bp3ii9W7vTLpWr4xP+6LwzEfxA/wCT9a3vDnhqz0FXeGX7TcyDHm7NoQe1ad9d2lnF9ou5oILftLM23d9PWlsNRsr6HzrO5gnj6FonzinzMVkY00QfX7dSPlLsPzBrE1HQU8h9L1C3kl09XMlrPBzJbk/w47rW9Pxr1qR/z2rXleIRzTTPHHBCP3ssrAIlDuCSOP8AD/g+wtLlbgPLcSK2Y/Nj2CP3x3rq9R06O/sWtZOY3GGqlpXijw/qd19ksNUikn7IVZN3+7u61vEgkGldjVjze88PNdMlrqltI7W/yw3kPLbfRga3vDnhy201mlhDszDDSy9foPStHVtd07S7T7ZfzJDaltsZ2b3lb/ZWm6H4q0fxBvTTrhjIgy0UqbHx6gd6LsWguu6OdTgRonMdzC2+KReqkVyr+F7fVtQaa+tJre8f/Wtb4ZJD6+1d+86QYMh4Y4X1Y+grF1zxfo/h64SDU7mQ3LLuNvaxbyg/2jSTY9C1pmmW+l2K2ttHsjX8yfU+9Y2o6TcQXzXtiI3aRPKnhl+5Mnoa2tM1aw1mxF7pl159uTtO5drxn0Ydqkdd7MDIkaKpklkkPyxp6mjUbsczp/hjSI5hcCwkRwQRFI+5F9uO1aOuLmzb1KmsY/Ebw0L0Wym+8oNj7UUGD77euK29XKvZB0ZXR49yOp4YEcEU1e+otLFC80i5W++36f5TNJH5dxbzf6uZD6+9O03w1pltOlylh5My8qpl3qp9RWyJoo7R57iUxW0EXmTy/wB0Y7e9cnb/ABO0GTUBatY3cNqxwt08m5vqy1PvB7p1l1aQ3tpJbzLujcYYVgtoRIhiv4Ib9IOIJX4lVeynswFdG7KmTvDIBu3r0K+orm/FHjGz8KzRwm3N7qEihzD5mxIl7Zx1NKKkOVjesLKCztRDbxiKMfwiqdzo7i+F7aTLFMV2Sqy7klX+6y1X8MeLLTxPBIYoTb3UQzJCW3DHqpraubi2s7C6vbuYxWlqm+Z1b5mP9wf57gUJSuGhnWGlW1pKJ47OGCfGMx5IX6ZqxqOlW+p2bW06/KenqD6iuLs/itazaktvPo8dvYM2BJHITKg9T2NegnBdVR1fzGAQjoc9D+VDUgVrGIuipKIl1KO3v3jG1Z5YsSY9z0NWdTjVNNKAAADGB2rmPE/xEh0HV5dP0mxhupYW23FzdZO5vQAEVqadr9v4m8OteRRiGeNtlxCDkKexHsapKVydLE50gXcFjeQyNBdwxjZKn06EdxV200m2tZTMILZJm+9JDHsLUn22z07wy19eBmhtbYPIg/j9F/H+orzi3+Kmqf2mHmtbMWRbm2jixhfZuuaHGQJo9Pv7GHUbRoJ03RtVG20dY3XzpY7qSPhJZUBlX/gQ61pxXMF0luYZcx3IDRH1U85/KvLfEXxI1GLWZrbQ5I7axgcouI1YzEdWbNTGMinJHqZiVoyhGQ3XPeseHw/BAzQq+62ZtwtpFV1B7lc8ineHfEUWt6CmpSIsci5SaNem8ensa5r4h+M7zRL5NH0aU286xrJc3IA3sT/CPQU1FibR3UUaxqFUYxSSOqkKW+Y9u9cl4D8WXGv2VzBqLh7q1UP52MGSP39xUfjvxc2j6PZppUhiu9QUyNMOTHGDgBf8+tHLcfMdgAR94c0hrzz4feLr7UNQfS9TuWuTIpaKWQ5ZSOdue4NehmolGzKTuhpGaYfu4p+aaeamwxF+7imk4pQOfakJ49hTQmNrr9IndtJi2DJUEYB9649vu+ma6TQwDYnLlAHwazqr3Rx3Jrz7QzPHuf2VaXSdQMc5s7j/AFbN+5bPQ+n0qd4wWYqWfPX1rLubQ8Jh8k+nSuZaGm51sbqjMGLFj0PbNS/LjKnPrWRpV08u22nf96g+VieWFanljzmmBYMV27c/L9cetbRd0Q1YkByMPxWLf2gtZhMitsJ+Yf3a0zIsUwUsMN3ziiVkmRkOG7AHofak7NWGnYoh9trEQxIxjioyzZOCcVK8SW9ska52oPTpUHzN8wPB/wBmmtBM5JWBp2cdqiU4FODYFeyeWLn3pwGB703OenWgnIoAZIhK8dazZbeYzIw2bB1z/StUHaPrUG7k56VDRSZDZSN9jg5BbZk/nVsNuGe9QWcAFjDJlt23p+JqccgUD6nQ+DJQNc2Hq0bYr0QV514NU/28CO0bZr0WolubR2Gu4RGY9AM15R4w1P7TqXlg7hEPu+9ej63dC10927mvGrx3mlllblnNJFGDrA+0hPk+7z1rJmsptWYBGEDgY3EV0n9kajfqfs1pJLn+ICoH8HeKg4e2sMMeoklVf61QiKy0ptFtykl4biWX5iduNoH/ANetXTFyHmP+6Ky5pJopzDNjzIh5b85+YdcH61s2S7bGLcNpb5jmmIkmbGSTwo3ViyXLjlhy3JrWvcC1OerECs+C0WW4QZzzihAaMcEqwwbXKhR86evf+tJet5dtLL0KphT7nirsjAMfSsjWNogSMNy75b6Dp/OgDHALsQOWxWhaXJito7ORcuQZmJ9CcD9F/WqMOxbldxx71r3MVv8AbyxGBgIMH0pAZ84G47RUl2SjQxHgRRBSPfqf1NWYlt476MPhlZ9oBrOurjz5mlJ5kYn6UwKhjDLwDknpXW2kH2axt4cYKxjd9Tyf51zWm3iW+pW6OoYySbVFdNPc/vnJOWLdKkZFKpYlsdOBVLVFns9NAlTY9xKNoP8AdA/xIpbu6ktYRM3AV8kGq+tXhuXsd/8Azx3f99H/AOsKAM9WyMHNauk6MuoNmS48mM8DjJNYcrEHrjFP8N6nNJr8NiSQELOfcAE/4UAdbNKtw7suVXdtQH0HH9Kp35aO1ZomIcY96ssSBWbqEiy2s8Ucg87bkDPIoYHQ6Vb6fsjNzGJn6kyHr+FcPdSLc39zfBeZZWbr6ntUWkatNPLdgvt+z20jMO4ONo/UiqcF0ryeWjg49B2pAXw8cSrIx4B5rp9N8QwWkACEKq9hxXBXoaSBlVtpIrnDqUtsxjkd1I4oYz1nxTqguYrWcoJY1i3gfUn/AArAiukvUErKFdW+XJ4z7Vp6myxbFyNsUEcXPsq/1rGngZ32DZgEHkcUxFl/Ef2a7aNWX5eM+tXU8XPgjfjIPQ9+1cfrNokStcDeGHftWPpGoPc61ZWrx7xNcJH19WApMZ6V4gvpv7UnVowxSNI/yUcfmTXPPzHCT8rVa1K8a91O8lU/fmduPqaypNwKKfmwQM1ZBHd3xsroEP8AKydvWpB4hIxtZuR/erL1WLdGT1x3rEjj1Fm/0aCZ/QrGTUNalo9Q8L37zjUrqXcsccAXcf8AaYf0BreDBghJGdvymuc8DQXkOgX5vopo5JrhAolUjKqpz/Ouk27sZUEL0JoAp3U08CK6wCRmOCFridblkstSkdcLE5z8vRW7iu6upUt49zfdA9a427jbU7iSG3sJHklP3U5NIDL/ALXZ2A8xVH94tUyXkDffvh+C1Mnw4165fctqkeT/ABNWlB8KNdI5eED15NFguZX9p6dEfmvXB9hil/t/SgMvPK//AAKtxvg1qtw677qNfcJn+tWIvgbcnG7UP/HAP607Bc5k+JNNX5lhkce7U0+MLJPuWCv9Wau5i+CC7cSXspX2wKtx/A7TRjdPOT7yf/WosB5s3jVAfksIB+BqJ/G1zzstYV7fcFetxfBPQ1A3Fyf9qRquRfBrQEb5oVce7NRYLniLeNdSIO3ao9gKibxdq8mf3xx9a+gYvhN4djwfscJ+q5q3D8ONAiYgWEAVcc+UPm60Bc+aX8S6pIebl/zNQHV9SkJxNIT+NfUv/CD6Chz9nhAHpEtTjwvoin/VoPooFAXPPfh35q+DbVpsmSSSRzkYP3sf0rqWenXcUFrdSxW+BCrYUVWL84pAS78nGeKQSYFQFwGzS78D2oQFhH3SIPepScseOM1VtDmdfrVnrQNCr39aOooPakPHFIoAeD/Onw4MyA9CwqKk8zYd3pzTRL2Cyb9xu/vOzfrVxW4qhanbawj/AGAatI2KYiYk+tMeQIOeT6CgtgH1phcKCR1FAEMt3BELmW+mEFlaxebcPu/8c/z6j1rzHVPjVqXmmDQ9Ps7O1RjtMke92Hv2H+eau+P751+Hx2cG61HbKR3C5/8AiRXjgakwPc/CXxFTxNciy1CCG11AjMckOQs3tjsa7ppfJjMrbfKUEue/4V8v6bcS2uoW88JxJG6upHqK+itTvTFa2ZJwstzEH+m6kMxvG/jQeErW3SG3il1e5UuFk5W3T6V5xa/FHxRFdiae8S5TPzRSRLtP5dKrfEyeWXx9qQkzhCiqPQbFrk05NMVz6Y8Pa7b+INJgv7fClxh4s5Mbjqv8quSz2iC6lvm2WNnF51wezdcL+n8q86+ErSLbX0bZ8rfG34kH/CtTxdcyP4G8VKhKyC6iWT/rmdlCGzhdc+KPiLUb8tZXr6farxFBb8YHbJxkmuw8BfEOXWpE0nW51e7bPkXRUKWPZTjrXi3LNW14bE0WtWcsQzIJk2DHfNJgmfQ9zd+Qq8fO7bEA/vHj9OteZePvHd9Y6i2jaPctbiH/AF88Z+dmPUA9vf3rutcl8jWdN+bCG62+33WArwbxOJV8UaoJTl/tUnX/AHjQgbNfR/HviDTbpJHv57uEH54Lh9yt/hXscl5FqWkwXkLhopoty188W8TOw46V7V4Yjkh8EWiSDDHzCv8Au7uKLBc6C21a307w8bm4GYLG0E8gz95udq14hrfizVvEF21zfXsrc/u4lchIx6KBXe6g0t14P8QW6ElxawThfVFPP8q8mQFjTEen/DnxheyXyaJqNw08Eg/cPK2WjbsAfQ16X50cl9DbMeG3O3+6v/18V4Z4SsZX8RaeyId3nKeO2DnP6V63dtIniK3GcJcW80Sn0bGQP8+lFrDvoeS+N/GFx4o1mVhLJ/Z8bkW8WeMdN59zUvgbxPc6Nq8Fu8x+wTuEnjJ4weNw9xXJzW8ttcyW8qFJImKOD2IrS0exluL6FEQszMAKGhJn0Wl0iTRW5RX859pz/dHJ/PH614p8RvFFzrvia4g8zFlaOYoIl+7xwWx65z+FepXsrWmr6NK52xef5Tse25cD9f514n4n06ax8V6nbTAqVuHYE9wTkfzoSG2WfB/iO68Pa3DPC5EEjBLiIn5XQ9c/zr3W/lRLiG03ZWWXH+8oGf14r5/0nSpLvULeFQWaRwqgDnk17R4jm/s6706+LEQ284WQ+ilSuf5UmtQTPKPHeuzaz4qu8yHyLaQwQrn5VAOCfxOTUPhDWZ9H122ljkYRSMEmXPDKfWoPEuly2Pie/hdThpmljP8AeVjuBH51paDoMt1fWsAT5mYE+w9aYj0++nEGpQTNjCy5/KuO+JOuXLaLommiTEc0H2uYD+JieP13fpXVatH5l9AnZpQv51w/jHTp7zw7pOoKNxsUNhdgdUdT8pPsaQzhrad4p0kRiHVgQR2Ne/LrEt14Kh1Q/JNPAM4P8edprxHTdKlu7iONFy7n5Vr2q60eaDwIumRcyw2/b+/97+eKGCPMviVqEtz4qktSx8mzjSGJOw4BJ/H+grA0K/n0zVra9gJ8yGQMPf2rofHdi97f2+u26s9tfRJuI/glUYZT+VQeEtD/ALR1m3glt3kh3ZlwcbR65piPYLu6B1jTI+qsWlx7Ba+f9U1CbU9Uub2Zi0lxK0h/E17l4gLabc6Xqe0mO1k2yjH/ACzYYNeU+IvC0+l65KioWspmMttMv3XjPIxSQ2a/wuuJovEUtsCfIuLd969iVGVP+fWug8Yaq/8Awhus+W+GkuYrd/8AcxnH8/zpngDw7NZPJq86bFaMxwA9WzwW+mKTU7EXV3qmi3DrGNSRJLWRvui4TsfqKNLj6Hki5d+vNeueGJ3f4fQ+ZyYZZYlJ6hcbv5sa4a18L6gt4bZ7Gf7Tux5W3p+Nenvpn9k+GoNODh3RWaVh0Lkc4/QfhQxGD4w1KSX4fSqjH95fxxSY9Am7H6CvLYlLSYAIr1K505bq1uNGunEUOopHPazN91bhRwpP+0KwtN8Cawbz7PNZtEQ3zyyfcH496EB1unX81v4K0JnzyRESf7ofivOvG8ss/jTVDISSs+0fQAAV61q+jLJoK6ZZ5CQxbIm9xzn864vVvD8niW6Gp2qj7aEVL20Y4dZF43j1BpJjaMr4ciZPFEBTO0o6v9NprpvFt5NP8Pb/ACef7UEbj/Z6j+S1reEfDTaLHLcXGwXEq7BGP4F6n8arapp4in1C0vVb+x9SUF5FGTbyj7r/AE6UX1C2h5BBHukHp617Zp13Lbw+FFk+UyQ7Tz32nb/Suc0j4fk3cfnXFu9mrZaWKTd5g9h712XiHTXvrRZLICGe3dZLfHRdvQfTtQ7CSZ4PeCWTUrjzM+aZn3Z9d3Nd/wDDyGWLT9alb/VGBV/4Fu4/rVi88KWuuak+owTJZXNyd09nc5XZJ3KHGCD7V1lposGieGjZwEOxbfLLj7zf4CndBY5PX55rrwRq8IP+qNs5/wBzivM4IWLj5CRXsY0+WOzhvUtzdW00Bt7y3HBkjyfu57iqmneCNNjvFk+0PLbqciJoir/Q5ouh2ZoQv9hm8NwqxWJ4DGM8cspxXi5tJvtUkLKd6OVbPqK961zSjqlnhHEU0bB4nH8DDpWC3hq11S+e6vLeW0u3P78RKDHK395fTPvUpg0ZXh+1nsPAF/cruXdOGU+yjk1z/wAQIWl8ZTTDLJcwxTI3YqUH+Fevrp8A00WKxhYFTYE9q5w+HUkhisNSge4hgJ+y3MLgSRof4Gz1FCkrhY5/4d2Ekb6rPg7VtTGPcsf/AK1Yni2GS50nQLhcvsiktZMfwurnj8jXrNjp1tp9oLWzjMcOcnccsx9WNZUvh4LPcoqRz2V02+a2kOMOP40YdDRz6js7HC/D3S5ZPEcU+35IEZ2b04wPzNesEVW0zTLTS7cxWkHlK3L5OWP1NWyOtRN3Y4jBxTTTjwKaeMVFihPSg9T9aQdaQ43GgBHGBXR+GSjwXAfja4PNc44yvua6Lwmql7lGGThT+tRP4Ro32EKqXUE/7vFUNzSMQ+V/iB9a1hHkN/8Aqpjqu1flAx71zWLTOZvYmMguLVyJkbO4dRXQWmpC5sg5Ueav31H8JqCeNVJJK/N6isia4S0lJjO4NhXx0IpKVmVYuTSmZxE1xt3Nngfdq/I3lRoDgkcZz96qFsqSmMAhkb7sh7/4VanKx24Dup+b+H+KmNj4V8yxXfkgingKAAMY+lRxtts4RuwAnSo9xPPmtVXJOMU4FODcVCJKcGr3DyCUEE+9KSfWot3ORS7uvNIY/NQSMRml3cGopWyppMaCwkJsY17c/wAzVwH5az9NGLSP23fzNXgPlqblHQ+D5SNeRR0KNmvQwT5hX0FeaeFW2eI7YY+8GH6V6OG/0px/sjtWcjeOxxHjPUGQTx7iQCFAzXnzNti4Fb3iq+8yeZjnLTMfyrnXcOnI69qI7AyiPHDaYxtpphCV4yRxV618ffaJY4k1hMu2FVV5J/KnadqGhwj9/p8E8q9fNQMa1JtW0q4sp4rbR4Y5WjIR0gA2+/Sn1A46WSSeZ22MGZs8966aEN9n2svA4/KsoWV1E1rLJaTiGV8JIYztOOvNaHmOM7XEsecHA+ZaoQy/b/VpnrmmWBQXnUcDrRdIzTAleij8KbZRktK+CuMYJQnvRoBpzcnisbVP+PhV/upWqDOx2vA5OONikg1Qv7R5bhyEcvgDG0+lJDMy0VTfxK/I3c1pCN5Xy2Bnms60hkN6A8bIVBOZFKjp61tL5sFurywuIvu+aqkpn03DgUaAVp4GEwmPSNWb8cHFZMvyqCBW9ckG3kTgZHX8axrkCCEMzKfm9aAM/T1La9abyCFk3cj0BNdesOwbmwWrndJjRtSZ8Dd5Zwzdq6H7QAQkmFY9Pmzmh2Aq3sfnQtG5GH+XnvWNqGRelR92ILEo9AoA/wAaualcNHqVqQCVDdvc4plzbrLcSnzUyXJ+971OgGZcHLNzgVb8N6ZKdSbU9n7lYmjVs9SSB/jVGeGSYyRhTuUYDetbWgPO1jNayHyDDsAY9D1p6BsbUinB9a4+G0n/ALWMZysqHe5PYHvXXG31D7DNeG2M9rCcPNFzt/DqfwrK1mO5W0EsNtI0gcZ2xkkii4IjOgtpsV5fM0ZN2qweWOoG4Mc/981jSxi2ZdiKIv4iF+79a6SzuJ9Q0USXEEkQWXGJVKluOwPJ61WmtpIw5SGVuM4WMnNF0OzOcMarMYyfmNblj8PdNv2imv7iTzMhiiHAHtVAxzz2If7FeiVmwqmBs/jWpodxq8t9BDJYXSoXG5mjPA7mgRQvL2PU7qeDlB5jMxJ7ZqMW8zxlT2yOuePWtCDRF+yyBYbzzZGZmcxNkZ7dOgqq9lq4LCDTruZTjD7COlAD7LTkv737Ndqfsqrl/V66yy8O+HtOhe5ttPiE8SM6OVyQQOMVx8um+Ibe8+0pZXG2TC/MQuP1rY0mPWXuJReW+yGOFy/zrnpgDr60JjMF4cWBkbcJOn3f5+lZYcsyjoK6mbT1nn3qJkdAeFwA3+8M1lLot5cSswEJReR+8wcfSgVmM0e0trjUkS6GYlG8pnhvSvRbG6sERCqRqDwMDpXBz+GNVhSOeF7Y5BLfvjwv5UWthqhAAu7dfoXJ/l70roLM7fXWN8IfsrKAqnt1rE89ocpOBvUcZPBretjpWm+FIP7SkaS8WT5pE9Ofl5Oa4jU7PTJpnudN1i+jmZsrHOu5M+nrim7ASa3cJ8iNt8zGTz09qf4b1G3tpZXJAcnbz6Vg6tavH5d5IxeQ5X5ehFY0t6bWUupIU81Nx2PbYtfhUqquMetWP+EjjToRj614kviIHaDMMe5qymvQkc3Mf5mncD2RPFUBzlskdt1WR42EahEWMHt8orxddetgQWvowR9asDxHYDB+3xfkaLgest45YEAnLH0FQy+OJucEivMR4q08DP8AaCf98ml/4S/SwPmvg3t5dK7A9HPjS6bGA2D3qB/F98TlQ1cAPGmlKAPtzY/6404+OdJBH+lyZ/64/wD16LsDuj4r1Ar/AB1XPiXUmB4cGuKbx5pQ6XEx/wC2Q/xpjfEDTSfvzn6IP8aAO0/4SDUj1D1C2tamWPD4rjW+IOnjP/Hx/wB8io2+Idj/AM85zRcLHqMbM8EbP95lBP1pbuJoGQlgwYZBHSqkEhkgRh1Kj+Vac6+dbKgXDlAy5/UVDdmBRJzTdxYAA8Co95CEdDUPmc4zVXA07U/vx/ntV3HSsvTn3Tn6HmtQ9RTAU0xjx0px5akY4oGR55qC6fbBIfRD/Kpz1qlqDYtZR6oaEDLcY2xRf7g/lUwOMVCCeB6CnrweaBEhbNNPIIzS5FNyBQM4fV9KOr6bq3h4tsnMn2yx3dH4+Zfzz+deOT6ddWt49rcW8kU6H5o3XDCvofVdGi1RY2MskM0Lb45YjhlNRvY3Fw6/bLaxvCvHmuu1vxGDQI8o8GeF5NT1WOaVCLOAhpX7H2HvXrmsWU2oaHLEn7ub70f+ywOV/lV+2txGqrsjUD+FBhR+FWdilGAGBQM8i8X6FdeJreHWrGAyX0SeTqFtGMurr3x9P0xXG6fod5dXAiS2laToECHNe73mhiW8S9tp5La5UYLx4+cejA8GrcVvPt/euuT12Jt/rQFjK8IaGNE0tYGwZnO+bHr6fh/jUer29vb312t/uGk6rB9nunHSFh9xz7c/yrpoYFhTatNntYrmMpKiup6hhkGgZ4TqPw+1vTtQeEW0lxADlLiFdyuvY8V2/gvwVJp866nqUbRtFzBEfvFv7xFddDpK2UhS0uZoYz/y7o+UH0HatGNFRfmJZv8Aa60gsZWv6c2paeURgkqkSRN/dccj9a891/wr/wAJNcvqGnqkOqLgXtg5wQ395a9aKhgcc5qjd6fYyMHnjiLn7pK/P+HegDyzRvh9qBuE+2J9mhz87FgWPso9a9Ku7dLewihjTYirsVfQDGK0ILaKFQUQgD1B/rUGpDdCtAWOZgtriGws9StYPtDIskM9uOs0W45Ue/pXMt4FsLm8afSL+JoDz9mnO14j6HPNeiaAudGiXtvf/wBCNWVhhupd8du0uOriLj8z1phYw/DfhmDSWEzFZLrbjco+VB7Vq61p739oBC5juImEkT/3WHStNU8nA2YoZuB6Urjsecav4atteuzeXkUmmamfllBUtFN/tKR/9atjw94RttKlFyzfaJ1+42zAT3FdSu2ZDJFsMIPzTO4RB+J61InlNFvgnhnQdWhkDgflRcVkUtSsE1Gwe2kzhhjI6j3rm9Q8Pxa0IItct5xd26+XHqFv83mL23j1/D8q68t82c8VFJc28cL3dxPDb2ced1xMcKfp60kx2MbQPC2m6HN9pgMtxc4wssv8A9hWvf2MOo2UltcJvjcYYHvTNP1bStTLjTdSt7ll5ZI2+b64PNXASRg0bjONfw7JLFDb6larefZ/lt7qJtsip2Vs9f8APFbek6JbaepMEO0t95nOWPtU+o6raaZYG+1C7S0tGOEJXdJJ/urVbSPFeia5M0Gm3rvIoyI5o/LZvp60m2JWK+rLjUoD6Txn9anvdLlgvpbqwVGMwAuLaRcxzj1I7H3qHVyDfQEdPNj/AJ1r6heW1raz3FzdLbWsH+tm75/ur79PzFMDP0rRbCCY3FtpdvbSn+NWL4+meldF5a7NvJrgLL4p6C14tsba8igJwtzI4b8SvUV3kcqSMCjB0YBldejfQ0kGhz8vhyS2uZWsGQ20zbpbWVd8ZPqPQ1qadp8dmuRBBB6rEm3NZvinxTZeHNOjvLlHmeVmW2tVbaHx/Ex9K57w78VIdV1KOy1KyisxK22OWN8qD2DA/wA6oR3t7bRXVu8Migowxg1z1po8+nDyEulNpuykM6hwv+7npXR3Eywxl+pztC+rHoPzxXnni34g/wDCN6hJpumW0Fxepzc3E65CsedgFSO6O1Py98/TgCqN/pdrqcPlTRg+/ce+axfCHjceKvNtbuCODUIk3r5X3ZUHX6EVvXVxawW80105S3to/OmOOqjt+lKw7jLSN4IhGt3LMi/Llm3H86h1ZR9lwD615dffE7XZtV8+0kjt7ZD8luFyuP8Aa9a9AtNbi8Q+HodQjQRszFZY+yuOo+nT86dmJtF+G3trnSLdbmNGjMSffGR0q/a6c9vBmJJ/JHTduI/DNY66vbaX4ffUplEkdjbKQh/jkPCj9R+deQz+L9cuNYbU21KdZy+8BZCEX/ZC+lHKFz3vgegqs+mwXFxv+zb5V+84GNv1as3TfEMeoaBBqzAI7L+8j7CQcH+n51xPxN8RzrcwaHBK8cMaLLOUbHmO3OD7AfzpKI+Y9SEQjUdAD0Oc5ppQHC7S5bhVHO6vI/htr9xb6yumSys9tdfKoZvuP2I/lXoOs6+mk6Lq+pRHM9tGIIvZmxz+ZH5UcuocxqJLYW98bPz7SO8/59xKu/8AKrYG5v1r5oS5nF0J/Nczbt3mE/Nn1zXvGja495oukXExHnXbJHIfUg80cgcxqahc2Glwx3Oq3dvYwyH92ZSdz/RQKbPcW13pP2i0njntnHySxnINeK+PtXn1bxrqUksjMkUzQxKTkKq8cfkfzroPhpeyCPVNPcsYmg89R2VlP9QafKTzHpOho0mk26ou5sHA/wCBH9Kx5PGvhy31IWLakrSZ2mWOIiNW9N3+R71nXWuSW3hDV0hbbJBabVI4I8xyM/qPyrxpFZ2GKfKHMz6TkcIC5OR2wc7s9PzrA1zxnpHhu4WzvHlu7vGXitQu2H2JPU1Q8OalI2g+HFmbrceWWPcKWx/SvKdeuJL3xDqE75Z5LiQ/+PY/pSUQcj33TtUtdXsIr+wk8y3kOPmGCpHVW96y/EfiSx8NWMF3eJJNNc829tGwUlR/G59On51w3gu7uLTwvr4BbakauvPRuR/L+VZvxGne58RWu4nYLGDYO2Cuf60+UOY9K8PeKbLxPbyyW0TW88ODJAzbuP7wPpTtY1600jRZtVu1aVBL5NvAj7fNfuSeuB/SvPfhrFPFrs7q3yC1kL/Sm+M7iWfwxoYydqzXIYf7W/8AwpKIczOu8J+O08RXrWF1aR21wwLRNEx2tj+HnvXWk54rxHwVazSeKLAxhgyzBuPTvXtxPPpUyiVFiHgUw05jTCamw7iH9aTq1Lnmk5zn2osFxG6Vv+E3BuplYE5jH8xXPyHg1reGpLuK9kNpYteP5XMayKmBkc5NTJNodztAcqVCkEdRVaWJ2ODIp9gelUZb3X1Bx4Yu8f8ATO5jz/Os6fV/EKE7PB2on381D/WuZ05PoWpI1pdPkKs5cDn1qm9mm+RWfcSfTpWRL4j15I1VvBOrfKexU5qnN4s1WPdu8EayM/7Of6VPsZ9i1NGzFItrNtZ8wt0/2avsDMqqcjPvnj2rh7rxhf7FVvCOsJjrmJuf0rV8MeI5NXmawudLvbEoMxPLGRu5+7nFNU5rdBdHVhUEdugLbVVajkmRJGXzMYPTaf8ACtQwuYVCMoYY+93FS+VHXWsMmtzD2uux5aO/FOJwtM579KceVr0Tzhw7c07mmqMAUpPHNIYhIGahPzNtHJp7dxzT7axiliunmIZinyhX6ADP4VE3Y0grsgsJUW0QMcFS3/oRrQGMDnIrmNP3zQsJN+A3WMZI+bNdGJIV2iN2wem/rUoqSsbPhohPElmSTgk/+gmvR1cC5lYngKP615v4Z58RWZz/ABH/ANBNeggp9qu8Fc7Bn9azmaw1R4nrrm7lCK3JLHr05rMCXEa43Kw+tXbw4vR6ciq8nCnrVLYCnH4U0/V3+1XOq3FrK33hARxVu68O23h/S7jUNP8AEmoz3KJtSOVhtOTXP31nr4nabSraSZCeVC5FNL+JRA6aro721uRzMUI59KYhmleKdeGpKlxqE8sY/wCWefvVZg8R68t9GJb10hPOzaBxWbYIE1KBx/C9at+iNL91ix9BRYCLWvFWu214wtrkRxnHJUMenvV2LxLrlzpDPFqEn2tcfvDjjj0rnr+PfI6kHj1rV8OR5t7lDjIxRZBcs6F4l14ySR3+pTTKTwCRxVfVfHHiDT9SnjtLlBDvON8YY0SwGGYOoHUVk6rH500hx1Y0uVBc6fTPGOt6laypNNHLJ5RIUxjaT7ioIPG/iQz/AGaVraOItlkSLj8qxvDTeXqDJ2KGtC7twLjePvUWQ7nSap4nvLbSWuVWOVgy7Y2Qba5iP4k63LP8ttZRhm5xFTrqfzNNMRzkMP61zcsOzLqOj0cqDmZ6BF4u1CaG5ZlhYrHlVEQwxyOvtWbZePNfF4UeKzjjL5/1PzVQ8Py755kbrsp13bBLnzF60nFAmdbN4n1J3tvnTyWlHmbE5x7VyNz8StZiuGS2it0XPBaPmp/t5iSNAgJZwPpXNTwxTSj7wOaORBzM6uw8b67dLJ508fIBA8sVdfxPqcel3EvnA3G9SmRhcc54xXGRsYJypPat/S7j7TBcROPlRvl/EU+VIVyK08eeJ7m8QG7iWLPOIhmumXXdS2+cs7uT1x1FcdcWyWkwljVV5rSg1BYoW29lNJRQ7lu98U63pum+c9yZJ2lbbuTb+7A9frXPt8SPFVzII1vfLRj0CA/zqS81EarZQvwFXK1zzxiKfcOBQ4phdnbr4n1AxIZtSkZ3boEB/kKZb6rrkuqQTPcTvpkeTcYUY24rl9PkjitijTZfdnhq2LDX0kUWQU8owx1PQmnoIivfGniCJ28i6Kp2ynOKl0vxT4gvY2k/tCUEbR2H9Kz7m03wfKGR2GcE5NRW1/JYNHCIceue9Kw7nR6rrGqT2oR7m5c7xt29j2xVXTW8T6TNe3uqSXElr9mbaskn8ZwFJA+pqqNXWz1AfOXjBJHPQ1qy6+uo6Tc2qgZ2h/mP+0KYXORk1/VTcPJ9okyfQGr2l6pqTxkG9mUZ/vHvVC7hIKMDtbvg0y0barhpsEUWFc2NXvb50EIupy2OgY81nR+G/Fdz88bTgOO8xBNXhMkMttO54Vq6C28XQopHQ0OwI0Psjf2Fp9hMYori0iCy7SMs/ck9+a5u9CyRSwne+CMgn5W+prblQX7JcjgzZOfXmrkNhbWgMjneG+XGMimBz9/EZdMt7gOSHAAQdFwO1YNxp01ywiijLM5wABXWa48ULQQRbFRAflTtWZY6nHaX2X/u5HFIZhL8P9bmPEcSk9i2avW/wv1wqctbj/gRrtrPXoWXh8VeXxJEg+9mkB5//wAKm1tyT51t+ZpV+EOtH71xbj869ITxZboBluKmXxfZgjLtQB5sPg/rRUA3NsB+NL/wp3V8f8flv+Rr1dPHNgq4MEZ9zn/Gl/4TjTzk/Z4vpz/jTA8qHwc1XGTewA/7ppT8HNU/5/Yc/wC6a9TbxxYKxHkxk+xP+NL/AMJrYkfcQUCPMIvg1fYbzbwHj5did/x7VGPg1qf/AD+x/wDfBr1MeNbILn+tIPGlmRxigDzEfBjUDjN+o/7Z00/BvUARi8H18uvUP+E2tDnB4+tC+NLdmHzfrQMz0bymwpC7ehFa+mXv2pmguf3igblZ/wCH8awBJ5jvjpmrqAppch6M7/8A1qymroZf1SxlmIlgIkCryncfSsGU4cDn0Nb9lOxlWNWJeP5GjH8S/wB4e4NYuqQQ29zmIkj36ipg+jGyxpPMzeu2tgcsKxtGO6SQ8/crWDc1sIkxjNRk5NPLcGo80DFPArO1E5hYev8AiK0O9ZuonIQZ6sP5ihCL7nDUoc1Gx+Y0qtQBL3oyMe9MJpDx9KBkhcqUSNQ0z52rn06k+w/+tXM69410Lw9ePbXV3c3d6v3orUALH7E56+2TRrXiF9P0bXr+P/XWqJbwn+6zY5/Nwf8AgIrwN3LMSTknqaBH0HoHjjR/EM3kWcssdxjPk3AALf7p710yMD0718vWN1NZXkVxbuUljYMrD1FfQWqai0fhuS8RsNJbLICO25R/jSAu6prVlpGkzatqEjpZIdkaR/enbnp+I/qa84/4XFMt0fK0CzS3z93zG34+vT9Kq/Fi6ZZtF09GIt4bMSBexY8Z/JRXnC5NMLn0t4f8RWfiHTVvbJyF+7JG/wB6NvQ/41fLyTXCW0ZJkfP3OWVe5A7nkAV498J7yWPXri13EwTQMWX3XGD+p/OvQ7LVZbLXtYnjJ+0QacskH1yx/nikgZk+Lvimnh3UJdN8PW1rLcQnZcXci7grjqqj+LHdj1OcVS0D4wvfXS23iO1gxIcLdQLtKn/aXPT6V4/JK0szO5JZjkn1qSJd2eDihiTPpW8u/sMcjswZVGVw2d30rk/GvjebwjDFYWYifWriPzbicjIhB6Ko/Pj0+tJNcSjwVoM8rEn/AEbzCT2Dp/gK84+IryN491Uyg5Mi4z3GxcUIbZbsfib4ptrwSzam93Hn5oLgAofb2/CvW7bVbfXNBttStsiOYcqeqOPvD8DXzmkbM3Fez/D5ZIvBMgcfKbxtn/fK5/WiwJnR6TLF/Z8dvMV8ndLNOG6eWrdD7E/oK8j8VePdU8QXsiRXElvp6N+6giYqCOzN6n+VdtbrcXK6rZxn57nTriOEerBzkfqK8awd2MEUwud94H8cX9jqcFhfXMtxYTMEIkO7y88Bge3Jr1jUJGeS2s0ODczCM4/u9W/QV8/aPazXGoW0MSHfK6quPrXuOrT/AGPXdHvG/wBUlz5bn03qVB/OlbULnmvxJ8Uyavrkmm20hTTbJvLSNeFZ/wCJyP0+grA8M+ILvw9rEV3ayMEyBLGD8si91IpvirS59J8T39nP95ZSyt/eU8g/kaqWlpJK6JGhaRzhRTsK7PoLUrtDbwLE5X7Y0axlTzh8f0ryr4m609z4jOlRfJaaaohRAeC2AS2PxA/4DXe68rafpGnzEbjp3kM4/wB3G6vNfiDYNF4qlvk+e11BRcQSA53AgZ/HI/lSQ2zn9M1G503Ube8tZGjlicMpFe76nqv2nR7KeFjGt+YgOegfqP5ivD7LSp7meGJI2MkjBVAHrXsPiHTpbbw5bWtmDJJYLGU/2tlAK5598TdWe/8AF9xbbj5FkqwRp2GByfz/AJVzOmXc1lfw3UEjJLE4dWHY103j7TTJrSazbDdZamiyo45w+PmH+fWqGheH59T1CG1j4LN87dkXuTTEerarcCSK2uQCPN8qQe2cH+tcd4/1a4n8MaLFuIju5JriUerBsD/0I12WtoqQqsYwsewL7AdK5zXdDbVtKn0eNR/aGnzvcWiE482FzlgPXB/lQM8qQkkV7b4Y1K5X4aCZ877eOVFbvtHSvM9O8OXtxcrALSbz2bGwoePr6V7Lp+lpYeGU0jcCvlFJdvRmPWkxHlvxNuZJPElrFuPlx2EPljtggk1yMEblgcdDXoes6BN4gtYEi2jWNNXyJomOGmhH3GX1xUXh/wAD3lxep9tt3gtEb5/MGC3sKYz0Oe7dLHQZJW5klgWTPqU/xrwjxA07+ItS885lF1Lu+u419Ba1pp1HRXt4j5cqYeE/3WXlf5CvOdV8LjxDqT6laGKC+b/j7spX2MsndlPcGgGYXw6jnTxhYumer7sf3dhzXZ+J7mSbRfElqv3kt45ceqbhmrnhXwwmheZcztHJfSLsHltkRp359TVjVrGWO7S/giE2EMVxAf8AltEeq/WlcDwqKJ5ZMV6h4KtZYPDN27fckuBs/Bef5iorbwjo9xPus9UeOFm5hkjPmp7V26WEMGmR2ttH5cScIP6n3NO6CzOI1NJrjwfrNrHuMqpbXIXvsHDflivN4LdpRhV/wr1xFlgnhaMJHe2qtEyS/cuIj1XNMtfDPh9rjzilxBHnJtSflB9Nw7UXCxBYadLbfDclM75N04A9O38q5Px5bvP4ghvUGYb22iljYcg/KAR+BFeuG8sfKERZRGF2hFXgD0rmpNNtPJNk8YvLAOXiRso9uT12N6e1TcLHHeB9Ikl8S2cir8sB86Q+gH/18V0+s2st+mu6KvE08a3VuP75Q5IHvxXRaVDpukwslpbyR7vvtjczfU1Hqcdteqjx/aIrmJt0U64DKf8ACi40jxmz0yWV1Gxt5OAmOc16xd6fNpPhnTdiYlsWjmlRPXOW/rV61ULP9pl06BrvvPHFtJPrV172YxlfsZIPBy9DkgUTyrxd4fmj8SXN9Gm/T71/tEEq9GDc4rqvBGjS2NhfalNH5azReTCG6sM5Y/pW5aW9zbuI7eNktt2fs7sHjX/dBHy/hWtebja/MecdB0FNSFY4drUMr29y/l22qW7WplPSOQOShP41y9t4M1RL4Wklo/mZwWx8v13dMV6rp9pDd6SYJ4kkiLOCrDIPNWraxW1jEaySGMfdVmLAD0GaXMOxh6tpJtNDs7fTQWbT2SSLP8ZXlvz5rjr/AMKPqd/Nqmlp51tdN5mwH54WP3lYHpzXqmMsf7tVzYWokaYQxiRv4toyalSHymLonh2Kw8Ny2MiL51ySZmX9B+Fczf6C2rR21rc7YtWsE8lTLwtzD/AQ3TI9K9JULgY6UyVYQP3m323U+YOUwPDXh1dGsbjzQpurgbGK87U9Af8APasjUNBXZc2F5HI1hNL9oguETeYJOhDAfwmu5GNvHAqKR0Ree/3fWi7CyOe8MeGYdHmN4bgTTFCi7Fwqg9evqK6Nj0pFGFUlSM+opxwRSeoJWIz9ajJ5qY47UxwoHXmizHcbjJpp+9UgxjrS5UHk0WC5XkrR0DTJtXvGt4ryS0ZUL+ZHjPUcVSkCnoaSys9SvXeHS0ElyBuwzbRjPrRHcT2Ox/4QzVk4j8SXYHvF/g1DeGPEkX+r8RyH6xN/jXNrpXji3I/0Hfj+7cmmFvG8P3tOvfqs9akHSnRvGMf3NeVh/tI9MFj45TG3VbZ/97cP/Za559Y8ZQ/8uGpqPZ91M/4SvxTCDvttVU9sx5/pQB0x/wCE9jPE9i+P9v8A+xppuvHgb/V2Te3mj/Cuci8e65Gf36aiB/17f/WqVfiPfhv3j3QH+1a0Ab41HxuuS1hZue/71KcNW8ZY/wCQTa/9/E/xrEX4myLw0q4/27bH9ak/4WcP+elt/wB+D/jQIwQ9O613y+G/D7dYLlR7yf8A16mXwx4f7CUn/eatedGPs2eeg07AIr0I+FtCAywkQerORTo/CugyNsjYu3XAlzS50Hs2eckZpLNAYb5Yj+92k+o+6a9EfwrpO47baaTH92Uf41CuhaXarKE0u9KyffK85/Wpk7lxjynmehzpFpNxuYBl3E+/JrQQo8alRxjiuuj0HwvbW86SaNqSI4wweGQ7vpVCS98F2ahXtryNV/vK4/nQmOUblTQGzr1mpOMyf0rtUDyXt4m/hQOi/WuWtvE/gi1uEnhdxIhypL//AF60YvHXhkO7xyfPJ97pz/49USVzWnJRR5vqreTdDdzhiP1qo4Vm56/Wr3iaS2mnuLi0/wBQ0m5B7VlLcKEG7IcnoaaJYieMRo0xgncRjPys3SreqeME1vQ57SK7t5N+3hXBPBpLSTR5JDDqFjFPJn/loM1cvNI8KvYzz22kiC7WImN4wRg0xHG2yFLmIrwwet6aPKjGB65rERf3iNjkNWi1wbiSSNHCleMmqAx9Qwl7KAMgmtHw2uHuV55wagmQm4bcQzYHIq1oX7m+kQ5IdeKBGjcQgsCR3rmrjcZW3DB3H+dddMPmNcteIftcqnqHNAC6IoXUwWOAVIrVulRpflyT0GKy9MwdSiDD5Tmti6hUf6sgEVI0Z1zGyQkkY+YVlOoMbAg8tW3qHy2QX+LcDWI7kKVwOTVAXtD/AHWpSemytS6h39OtZOlsDqA44Za3sKCU74pWEY5jKsNw4FZpw0m0A8Gt+4RDG3GfauZLurnHY0APulIuT8vatTQX3QXIXG7j71YFzdPuJJy1avh66MNvPJtaUsRlV7CkMdeTOdQCSqyIPujHU1OUWHc7YAA5rZlgiuFVniGSMjcORWdqUy2qBQodm7H0oAw59kEISM4VnZl9Bms9raRnw+GrYv4E+zW8j7dzZ+7wFrOdxuwCc+1AESxrET8tMs2ZNZjKfxB//QTU785+cmrel6RKyHUy/wAkILKmOWGCKQFd73ZdCZkJO3GM9Kcs0ACzyzNI6ncq91qIRm7vFU4jDHGB2pZbCCO4aGS42Pjj5aAKlzsnVjD5nLZ+7xRo9wXmvICvzfZyMk/7S1fRbfyhDbku4+6Om41JB4evbAy6nNGqoY8FO+SR/hQFynKgU4wQaqsMbmHUe9aITz0Z8Ak9cdaqtEoJyuaYiCW48y12HqORVA3gBw+c1dmRVXpiqP8AZV/cHfDayOvrikxo9U0ECXQbKVsfd4FXraA2KySSSg7zms3wwkqaFbJKCjRjawIrbKmbzVVwGU44wTQBy3iBkFz8mAduW7ZNctfyBCkgb7oxj2rpta0qaHiSQOZQfmxzXN3VsUh24PFIZWh1QL/y2rQg1SORcNPGP95q5p4PnOyNnP8AsjNMWGTJzFIP+AmgDs47uFiP9Mt+PV6txXFvtObyzPt5orziUFXORj8KYOPWgD1NZ7dh/rbNh/12FTq9tx81v+Ey15NuOOp/Ok3N/eNAHr4W0fGEj5/6bLUotrc8bBj2kWvHA7j+NvzpfOlH/LRvzoA9l/s+Fjwv6il/syLnEbV42LqcdJpP++qeL67HS4kH/AqAPYTpcRYExPQNKRWDYcYryEapfDpdS/8AfVTQatfmeMNdzbdwz859aLAe3RPtzjpn+taoIFrbpnLSSA49s1hxyYyOa2r0n+1rZE27QseAvYVnIpFY3bx3zTgkOHJNMv3S6vWZMsjc+h6VVmfdNLgdHNQyuRnn2ppCNrRPlmlQ9l9fcVrAZNYfh45mc/7H9RW5nBqwQp496b0NBPNITRYBWPNZOpn54sdd4/mK1C1ZOqAjyyf7w/mKAZqFcUi05mzTAQSaBElMfpT+1NIpgcbqunG+h8QaPnE15Ct1bj+8Uxkfmq/nXivlPvIZSCDjBFfRWp6Y120c0MvkXULbopQM7T6Edwe4rD1Dw5YateibVNJliu8fNcWjgpJ9c85+o/GkB5LpmlT3t3DbwpmaVwqD3r3O/wBNEvh19PQ9LfyVI/3cCo9I8O6fpTGW1tnWU8eZKcv/APWrd2gpigDyTxtp9xrHhrTNYjXdPYJ9jvYx1jIPB+n+IrgLa2Mjgdq+gLnSHjvXvLKVYpJBtmjdN0cy/wC0PX3qODw9pqXAnGk2aSA5ymSAfpgCgDmfh34fexil1GZSrTLshyOq92rdvJBo/iq1v5gPsVxGbS4LfdQE5Un2zxXSKhCgnlqgu7SK8gaKeNZEYYKsMg0DPEPE3g690HVZF8ppLORyYJwPlx6H3FXfDfg691iePyo2Fup/ezN90Dvj1NerWdpPp8It4pfOt1+6lyvmFR6BuuPar6mSQDeQFHRV4ApXCxS1PTY7zRXsFAWNYvKTjpjoa4DxJ4fuvFbLewbP7atkEV7aMcF8dHTPUV6jjC1RudMtruRXkjHmL92QHay/QjmkM8p0rwFrE1ykctnJAMjdLKMKv+Neqw6fBpukW9ha58mDgHux7n86swWzRjDSO4H9581JIoKU7hY5ARTJMHs/+QhYTtPFGTjzY2+8v+fasO98D6frd7LeaPdJA7/NNZXJ2NG/t7V391pZufLkQIsqj5XX71Qf2BNK2+SXc3Y7cn86XMFjJ8K+EY9Em+1zMkl3jCBOVjHQ89zgmtzVNLXUbOWB1YFhwwP3T2NOTw/OAP8ASZsfXFSjw3I44edz/vZpcwWOQ1fRofEAiTXc22pW6bUvYkzFMv8AtDsas6B4U0/R7pL17pLq4jP7rjaqn1966QeHYkY+c7j6ttqdPD9gf4kP1l/+vRzBYq3T208DxzSRsHB3AsK5qTT7YWP9mXkK3unRvm28t8S2/sM/eH412TaLpqjH7v8AB6F07SbXDTPF83AzlifoMUrsdjm9H07Q9Km+02/mmfBCvOclfoBWu+o2TghpSw9lP+FbCQ6WuCqJj/riR/MUMbAqVEXB/wBgUczHocMIobYTWtuiz6fMzO9rOnCsepRuo+n8q2dGsoord0sLNbVNwL+pPuetbiPbxNshtWdjj5UUZqZ59nzrAQM/N0OPyouxaHLasp8hs/55q9qGlwXzxSNuSaI7klRtrKfrVbVRmOTHAJrUVmd0SNd8jdFz29fpyKvoSRKLlF2vMzqfUDJqwm3aV9KzG13RxefY31uxW5DbDHv6N6Z6ZrUYGNipHIqdirmPqulQ3dys33JF5SRThlPsatacjBQ0ly8zjoWbNF9NBa20l3eXK21nCf3kpXOT/dA9awtI8b+Gb+/FnbSXNvLI2Ea5UbXPYZHSh3A7AS88nOKo3ljZXrK80BaRfuFccf8A1qmlcRBy3y7ev0rnfEviex8LxwtfwyXN7MC8dokmwRr6uaEBvxQKi7UAGPSiVC0ZBHB4rn/Cnjyx8S3hszafY7raSieZvSQDrg9jXUXMYM0MIfZ5mWZ/7qL1P8vzp2EYFraQxXjONpbPY1sOuQPrXl+q/FK9gv3g0K3tYbGI7U86LzHl/wBon3ruPDvimLWtE/tGOFY50fy5os52t6j2NFgNqTRISvmuGSM888CmxWNg2Shyo77Dg0l34ijvrVZZsC3gheZl/wBlT3/I/kK8S1P4ga9f6mbiK+ltolb93DE21VHv60OIJnuLWtmB8pGP92mJDbqQkcMkj+irWD4V8TLrnh439wNs0B2XGOASBnI+ormPiR4lntLOz0iymeM3EXn3LKeWDdF/Q/kKXKNs9L2RKoPlMAe+RTSkI+bymJ9K8Q8DeIbrS9et4GmY2ly4ilRjkc9GHvmvWLzXhpzanNu50+zaVR/00OQP6frQohcvSalp1tdLaXd3ZwXTY2wNP8/PrViRRuKmPBHYGvmua6uby6eeaV5Z5G3M7nJY/WvZvDXiCaTwVZ3EzF5o5PsrsxyWGQB+ho5RXNvVtbsNEt1udQmiton4RSheST6LTLfV7DXNKa5064WaMcNhdrKfcV5F8Q9Rn1HxtqCyuzJA/lRqTwoFXfhzPLDrcsK58m4t3WQZ9BkGnYVz1fRozLZKkRw7SsAcZA9SfpXL6l8SdG07Ums4Ybu8WNtsk4dVGf8AZHf9KjGr3MFhqsELshjsZpEKnBB3c/0ryGOJ5HwOSabQXsfRNre293bx3cMu6CRd6N6j+hrm/GPjiLwxfLYWtrDeaiEDXDy52R5/hA9axvDF3NbeEYSxO2PUFT/gOVrkPGAmuPG2sFwd7XT9fTt+lJILnrPhjxPb+JdPecRrb3EJAmiByvPRh7VQ8Y+Lv+EcsbWWxWN7+8DMruM+VGD6eprnPAVrNDFq7JkA2e38dwI/rWJ4z8y9k0a4XJRrBEB/2lLBhQkFzr/BXjW61q7ksdTaMz7S8Uqrt3eqkCtbxZ4h/sXw5c3lsV+2STfZIGP8I6sf0/lXB+CNJkk8RW0oJ2w5lc/pj8yKveLLea60K4UZZrHUWDj0WReDVWC5W8GeML+PXI7W/u5Z7W6fawkOdrn7pHpzXrVeLeEdEku/EllG67VWTzXPoF5/z9a9oI5GetJoExpxzTHUEDrTiaQkYpWGA2nigqpPXAoBFNK5HBp2GNkUKpANRRXuoWIe40uKeW5XgJAwDEd+vFPaMBWz35qbTL3UtPlabSkDXLDbt2Bsrn0JHpSW4rkY8ceLoR8+m6uB67Inpw+JPiOM/PbaiB/t2AP8q218T+LUP73Sg/8A24v/AEzQfGWrRnFzoluf960lX/2WrJMdfirqiH96syDPJfTX/oal/wCFw7CRJdWg/wCulpKlXX+IFuhxdaLp4/Ep/NajHj3w9J/rdCtG/wBy6joAavxjsGGHn0pj6lnX+YqZPitpEh+eHS3Htc4/mtINf8JXZ+fw6xP+xIjf1pCfA9zzJ4cu1+kWf60wLA+IOg3OP+JZZyf7t0lSf8Jb4fPJ0NM/9d4/8aoPpfw6l4k0q5iz62v/ANaoP+Ed+GP/AE0Ht5B/+JpAdp/adh2vrr/v9/8AZ04avajlby4Y+n3v/Z6rrZaao+S71UY+v/xNVLmaziuREl1cIAP9ZJt3fXGKoRdvfEAgZYYLuRHZd3nmAun0xUlr4gmmAxd6fLIP7jbc/nz+lci8erm8LC20+bd0kjvVjLD34Fb9hBr0cQEml2Pl/wDTOfef1bFGgtTcinubjJks48/7O0/zAqYvKzD906Y7tEp/kazktJ8ln0OIe6qoP6NV6G5niTnTpYh78/1NIZbjMwHCxt+JT+lPLTlfmtFYf9dAf6Vk3N5CykNNND7+Vn/2Wqg1S2i6a5IB6eUv/wATQBtCytbhys+mxKf9uMHNQ3HhbQJeZdJs2Pc+VXP3PiJ1fEHie1QDqJY1J/pVJvEurKSf+Ek0kx9j5Yz/ADoGUfHXh6x0+OA2FusMLodypnGRXCvD5q/fIYjr1xXX6jrl/qhFvdatpl1AOVEQCvn25rhb6WWx1Epn5c459KQEx8MWWq7RPezQSp0eI4Nadt4C1JNo03xW7o33o7lA+RXMate3du4mt37cqehqGz8fyWDAXWmpMPVXIIpiJZYjBPJC5+aNyD9QaUrJHI5Vc7qp3WoRahfteWySRwXB3hHPI9f1rYtis0e0j+Hr3pgZs4aFoiUABB6fWrmmSFL1GPcYp13EPsu8/wAD9/Q1DaOouUO4Z3UIR0DvuJzWBqaAaiWwcMoP6VuE47EmsnWYyvkSf3sr/WmBm2xAv4vQPiumlij28rx71yqNsmV8ZwwNdBdSTSMQPu9MUhkGoxZsyQ24betc1cROw3IelbrPLGmx2+R/kx9aymdckdM9KYh+lkreQ56966hmX1zxXN2reXewHjBcDP1rf5V88t7GlcZHMqKu5tqrnq1cvPHslkA/vGtfWy7bOP3eP1rPvVVZmIGUYB1/EUCMye1MnIIH1rS8KeZb6lKrdGjqKJtyAuB+FX9JWPzZpg5EkfAQd/WkM1b0zyBBFIIg3JZuv0rK1e0mUecX8zjB9q1nAkg86dFO35gcdKZNaXN2URWCR/x5P3qAOQ+0SSwNG3WN/wBP8iq5JLV0ep6C1nb3F0n+pZlA9c81z7JtbHekANj1we1aGm6kyItmx27h5dVEhbYd/J+lQfZ7h72EQRyOyupwvbmgC0kb2t1HsxI27jjrTNRSU3sh2/rWi1zIt0zC3G1CVNOTddbxHDCjMvyk/wAhQBi2EzQXyO/Y110uqG70ia3OMnn8q5C7s7iFnV429c//AF6i0y9mj1KKCTlZAV6+1FwNYtnnGGxUfDE+tAOZMHOPWmOE3sqI2fUUxCRwxtcRBzlWfmu4024too1UAYArhHmKo3QMORx0NRx695MmHbB6UrjPRrZkaW6ZQceYSPQcCrcU8ImlZF+YffYCuZ0G6/tC2lAm2qzBiy89K6RURYT5TDbnKg8AYpFDr+W2MYE8O9ChO4jpWDBZWdzf+Vy0PX5u9aOqXSJZyhWUlSAyselclLetbyrIH2jocU0Seo2Gn2EESpHbxDHU7RWnBYWBOfIj+pArzSz8SsFwXrRi8TlVG2T9adwPRF03T5AQYIsf7opG8OaRIObWA59YxXCp4llYDbJir8XiC9bGydCP96i4WOnPgvRLhhmxtmPp5YpW+G+iyAY0q3Pv5Irn11zUVcNyTjHDVYj8U36swV2LL95QelK6GX5PhZoLNzpsAP8A1zqrN8IvD79LCMfQsKVfF1+qjeZOD0PapV8b3mBuLflQBnP8FtCYn/RyP92VqryfBTRSTthnx7Smt9PHM3U9fpUy+OW28qM0Aci3wR0wt8oul/4Hn+lVm+CNoJF8ua7Bzx3/AKV30fjZT/dx9asJ41hWQMcDoetMDz4Jsdgf4WwatafMI9RgYDJEg61Wd99xM2BhnJqaxXN5Hux99f51kykV5RiWT3aoZX6j2q7ersvZ0XoJDis2ViZT9KaEzX8OEi6f/cNdCOa5rw4/+mMM87COa6TPzVQhTSZzSk009KBhnkVlavwinuGH860ieTWXrJzakjquDn8aEI1GbAFIDSEfKG65FID0oAl3cUGkFIaYDqcEGOcfU0sKb2XGCzNhVPf1/IVzHjHx5pXhS6+wQWq6nqacy+Y2I4s9uO/sMYpDudPkDpjFKTxXn+jfFu1v7tbfV9LgtEkIVbm3Y4Q/7QPau7cMjhNwbPKt2YUhjmIAJPT1oQu5ykMrD+8EOPzqnqWsWWg6Hc61fL5sUL+XBED/AK2Xt+v8ia8jvfil4su75p4tVa0jzlYLdFCL7dOfxosK57XnnByD70hOPrXKeCfGr+LY5LO/WNdUgTesi/L56Drx6jiunBE1zb2ved8E+ijr/MUIC1Y2U+oh3gVBGhwZJG2r+HrSXNpLagt/rE/vpnFeM+P/AB7e6vqc2m2FxJb6TasYkjibb5u3jc39BWB4c8W6v4evUns7yUR7h5kLNlJB6Ef1oYXPey+7HpUkMLTiQh4444xmSWQ4VaoSalDJpq6nEuIJYvORevbp+dcL8UddubPTtO0CKTAnhF1dsOGcnoCfTgn8qSGdtb+JfDsl2bRdetHn3beu1T9D0rTdQowT8vUGvmIEbucYr2b4d6xNqHhaaznLySWTjbIxz+7PQfhzTsK56bay21rp7SRx+ZOOmRnn6d+1cn4v8XWXh0RnUJZri5l/1dtAwXj1J7Cm6ZqB/tFbZnOGmZv++U/+ua8K1vU59W1q7vLiRneWViMn7q54A9gOKYHsvhvx7pviG7+xrDLZ3JHyLK4YP7A+tdQJdu7cxCqCTzXzbZySQ3EcsTFZEcMjDsRzmvdbu/aTSLK5ddrTtCWH1waVgI/GHii28K2cTSQpcX9wD5UG/wCSMf3j/L3IrlND+Kc018kOr2tutu7bfNgXaY/cjuK5z4l3Lz+Or1GzshCRxj0UKK5iCNnYAcjvRYLn0fPcRQRtLI2YkTcSD261zfjDxe3hjSrV7WJf7Vvk3qzgMIE9h+I/EE1VN5N/wrm2lbO9bdQxP90Nj+Qri/ibcST+JYCTmP7HEI/TGO345oSGw0v4keIbS+ElzePewM37yGb5gR/s+hr15dTtpbBL9CTbPGJVPqDXztbws78Z4r1m3S4X4cW20HPkb1GP4d2RRYVyH4j+K7nTrS20ezkaGaePz7mVThtrdFHp3/DFedaNr2oaNqMd3ZzOHU8ru+V/Zh3rc+JJNz4jtrtMmGeyiKN9Bg/rXM2duxJk2theadhHueo3iXWkw3kOQk8AlA9Mis3xXr8+l+Dr+a3l2T3VyLNGHVUUc4/8e/76qZrWSy8K2dpKMSx2g3D0PXFc34htZtQ8K6rbIC09lfLeBe5ikXkj6E/pQB5mH+YmvaPAuvSah4TZJ23yWDeXuY5LIRkZryGCyeXnHFeueDNFbTfDDu/El8d5X0XtSYI5r4jatJLpmh2IY+XJE1y5/vMTgf1rz6MsGGOvrXfeJNLm1Tw/bSQoXutJd7e4Qfe8onKPj0rA0rQLi/uEt4I3eVjimM9QTV3uvCmkXLk7pvKSQnvhgD/KvNPiBcSXHjrUwxJEcnlrnsFAFepalow/4RqPT7Y4a3jXyj6svf8AOuK13w7N4jnGvWSFnkAW9tx/rIpQMHj0OKSYM5Tw5LNa69p08O7etzH0/wB7FeyeJZ5RcanEhOf7GnMePXP+Fc/4Q8HFdRhv7uNo4YTujjcfMzdvwrrfEltLFJZ6lbRGc2pYTQjrNEwwy/XvTA+eEUuwAFel/DuF4rHVXbPlssYH+9lqP+EDhupnuNHvLeW0lOVE0mySP/YK9eK7ay0WLRPDZtYjvIbc7kfeahCOWmMs2n6lZpndLpspQeuxySK8pgtXmfaAT64r22LSrm40+G+sWT7XazybBJ92RSfmQ+xrLj8GafdXpkhFzZBmy9u0X3T3CvQBF4K0uaPwfqRYFftTEICOu1cfzzXLeN4HuJNI1FcmOezWL1w6ZBH617PZ2sVvax28KBIYl2Ig/hFYV14b2tLEkEVzYTP5htpDtMT92Rh/KgZ5d4U0c3Wv2SFCV8wO3sF5P8q9B1ayaXxBd2TkLFqti8CMe0i/MoroNH0Cz0pGNvb+WzjDEtuYj0zVjUNLt9Sg8qZTwwZGU4KsOjA9jQB4BHpcsUzRzxusqttMZGGzXrVv4ektPAkdmi7bnH2hl9H64/ICt6CwCTrJdfZ7m5T7s7xKJfxx/hWj168+tAWPIPEugSalfJ4gtl8y3vgGlRRlopAAGDelb/gzw89jbXOpTJsZo2jiUrhgO7V1x0m3gvGntjJbzzNlxDn959R/Wr08e21lDcNsPWgVjhntzarHqnlNLBHLLDdRqMloW64+nWsQeAp0vB9imguLSQ5Wbd90e9eh6Fs+w3G/7qytn9KtJBZWb7jFDa+Z0810jLn2Hei4WMr/AIRyCPw7/ZcfA28P33/3vzrAuPDia7cG4mYWerIojuBKh2T46OhrvlBaUJg5qlquoW2jWX23UJ4be2JwrNktJ/uqKLjK+kaLDpWnfZ0YPI53SyY+8f8ACsG58NgCSzlgNxYNIZYTEQJLdm+914Kmuj0zW9O1y2M+m3CyxqdrDG1l+oNRa3qVro2mPqF7cNFbq+weWAXlf0H+fWgCHR9GtNIgZbZGy5yzv95qhv8AR996b22aMPIvlzxSLuSZPcDv6GoPD3jDTfETvb2/mw3Ea7vLmx8w9QR1rU1a+stN0e61C7mIht8AxocNI56L/n1pagQaZptrYBvs1qsLN9/DFv1PatHPSuA0L4ji/wBVjsruwhtoJW2RPGxJU9gc9frXfE84NMBh+9SE0pppGScUWC4AgZNDt3FMY469aGbrQwuBLMOKm0yeWC4YR6dbXuU5S5Xco9/rUIIHOOafFBpV2rxatpkt/b8FY4n2lG/vdaBG29yjD9/4MtiPWLcn8lqFrzTFA3+Gb6P/AK43rr/hVIaR4MVfks/EFmf+mN0/H/j1AsPDy/6jxR4qtPrKzf0NMRaGo6EPvWfiCH/dvWb/ANmoS/8ADknytca/H7Sosg/UGq62Vmx/cfEbV4z6XFur/wA1p/8AYszkGLx9psx9LqwipgWNnheXI/tXaM5/0nTIW/8AZKWTRvDtyPk1nQwf9uwjT+WKi/sDXOfJ1jwncH3h2f8AoLUg0LxYBxp/hq6H+xeSp/Wi4Dj4N06Y/utV0Bv9xpI//QZab/wgK9tR0rHtfXH/AMcqvL4c8UH7/hHT5PeHU/8A4paqHw7r2efBM+f9m+hx/wCg0Aej/wDCF6cD92f8Z/8A61QX2g6Nplqbi687yohjHnsSPwrk4B4qvZHQ3KqsfMv+m5MY9So5qtHrnh2GYx3WtyXU/RsxbkB9jzmgDnPEt9qT6jK+iXbx2wb5IvtI3Afiay01j4hLGBANTnA/55MWH6Gu4STwPdSSK8Nu57mZNv5ZYV0en+EfCrQsf7B2OvVvMdM/T56HYDyQeK/iBA2JrDWR9RMKsReP/FULfvbS4+k0ktezW2kaHbZEVtPCR0xfS/8AxdWxc2EKn5zkdmvXb+ZoA8mtfiZ4gk4Nlaf8Cncf+zVt2XjDxDfOFFrYAnubtv8A4uu+Oq6UQN5tCcc72DY/OqlxqWhCQbYbB+eWAHSgDGJ1G5izcQaWzH/aL/8As9U5NGe6TEr2MJzwEiJH/oyujbXtGtJtkbWaherbuKoXvjTTjHIkbWgOOHyPz60AYJ8GqkiyJd2O5TkfJj/2euc8UaV5E4kcI+3hinIropfE1nJnde2jD6xn/wBmqnPe2erKbZbiCRypwsZXP5CpYzz+82yRdBjFcveoYyXRN3tXT3sz6RqDJJCJDE3+rbowrd03U/B+tFRcW8Nrdf73lt/hTA4K1vzeW/kiExywtk57g/8A166HTZJQzIVwQN2DXdXHg6wuLR/sc8ZMi4XzFAP/AH10rglLW96u/wCXY21/5GqJNCaJXhkXADSDB5/KufiHnMJFfbIp5Fbly+xXCNnB/wD1VmXMe2YyRgASDeMUIDp0nSWCN8/MwHFZmrXCSf6Nk70HmD+VQWCfbISsjFJIm+Urwdp5rJvpJItUimlf5Fl8tj/s9DQPckJwwz0rYe5LQwyoAxZBn6jiseddkjLjkHFWrSYtp7x/xRSZz7N/9cfrQhEpmWSUbx0O6qWowLHfTRjkI52n27UtwXiQvF9/rVWOU3VjbysSZNpjc+6nH8sUAHmMdu0ZbPFdk64GO9cQuYZAxyQDmum06+mvrGB8JwWSUnqMUhliWHcvIBFc7fhHWJo9wVN0Zz7H/wCvXVAoucnJ9KzdWlt7vRw0YVZIJBuAHY8fzxQBzAfacd6ksrtYNTgHOJG2HA9eKidSD71f0XSob++33LMscJDAD+I54oEdHBh4+oK1XtnuLeSZtpMCqWXc3Oaum0mtby4y26Hd8i56VI8KhDn7p60DOaOsteWNxYSffZTt+vWudAPmgetdWfDX2i8jmsw8hjfnngVzUqvDeyQkHKOVNICyuAMc1u6LqUNsqxsFB3fN71hHkevFULyd7ZN0S8g8nNAHVXkKtqE4XJRmLAA9jS21vaOqJtzsYsVLcis6yv2ubG1nPDvFtY56FTirEDxRM1ydy7uuO1AzVkgtry1CN9xiBgcc1oWfhHR0UbEBlXnzD97OK5rVbkiONoXyq/NjtkU+w8S/MCZAH780AZTRlZmXH3TimAM7Md/HuKt34C6lMQcKzbgPrzTJG2xkjBpokz5rYurPnIp9v4H1DUEExIjB6A8mn+acrggqGGQO1dpp2uKoUNg4FAzJ0TQrrw7A8Ny2fOOUIH0/xrYQh3AkjXb9atavex6laQ7PvQvmqET4Yndj2JqRlrUYo57KQbAWYfLXDX0TGJ1INdfLJMzLHD0J+c7eKoJbxTXSW8g4Z8MfahAecyNdQuRE0hx6DNSR63qcI27/AJfePNe6WWmaYsQRLeID/drRXQtKlUj7LDj/AHBTsB4LH4sv4sAxwSAf3o6tReNp4/v6fbP+Yr29vBmgXCnfYQH/AIBVSX4ZeHZ14sIlP+zxRYDyeLx+EY507aP9iY1at/H1ok8kpt7pDJjdhwRXoE3wf0WQnZFKh9nrPm+CliQdlxOn60AYMXxE007Q7XIH+1GDVlPHWiSdbpkI/vRGif4LyIDsvJfbMdZdx8ItVjyY5d4/3aAOgi8W6HN/y/W4J7EEVbTWtIlB2Xtm3/bYCuCm+GPiCPO233fjis6bwN4ggzu06Q49KVgPVUnspGwk1u2fSVakMdqxwR+IrxmTw5rMHL6fcqP9w1B9m1KA8pcx+vBFAHsp/dyOBnFT2km27iLcYdSfpmsnQ3MuiWLuSWaFck1qRRNPdxxJ1cgZ/rUMZZ1CMyapd+SrSL5jcquayJDhx6n1rbuNSe2/c2bbIU6MvV/c1kXxDyrMoAEgzwOhpRBlzQjt1NPcEfpXUYzzXJ6IcalASeS39K60mtBDT0PNM6CnEDFMPIoAYaoaopNnIO+w1oVBPF5q7P73FCAkQfuYjkcoOn0pxyBUVr81lbn/AKZj+VTGh7gCkmlIzmkQdaUDrQBVF75F5fSD79np0k6A/wB7k/8Asor5wmmkuJnmldpJJDuZickmvoOd0tPEFvLOdtneRPYzE9Bv+7/UfjXiniPwzeeHNblsLhGZQcwyY4lTsw/zxQBjxhmfuc17v4bvZ7rwJYTSkmZInQE9SFOBXkGkaTcX97HaW8TPcSNhVA6e9e621jFp2mW9hCd0dvGEz6t3P50ho84+IN7NP4O8PRoSYd0rPj+/x1/WvOIwSa9qm0SDWtP1DwxdSiG4MhutNkI4buV/Ak/ga4GPwTrUF35E+mXAkHRQmQ3uCOtMRc+GaOPHGnbR/f3fTYf/AK1erwSmPxdZJuCieKaNM9N3BrI8HeFj4eV9Qu4wuozqUSP/AJ5J3/E8VqazZSz26TWpVby1cTW7n++Ox9iOD9aLAfPN1BJDfTwyKRIkrKwI6EGpba1ZxnBr1TVvCdt4w1CXUrIrZ6kVU3ljKQpMmOSP8ehq5pHw8gsCtxqs8Z2sCtrHzu9iaALcNrMfAVrasGWcWZ3KR/Eef8K4H4jwvczaRrCFnhu7JQWx91x1WvYnTzASV27uwHT2rmptJKLPpt1YfbtHuZPM8sH57Z/7ye3tSHY8Tgtnkb5R+NeweANHuNN0C7vZ0Mf2xUWMMMEquecfjU1r4B8PW8gkFzezIP8Alg0e3PsTiusutz27EjAVQqL/AHR6UwscjJOdP1NdQYfuba5Hne0brgn8OK828TeHLrRNdliaMvBMxkt5F5VkJOOfWvYLC3S4udRhkQPG6oGUjORg0sWiTWkH2YOLu0H3Le6TeI/ZW9KAseT6F4dm1K6igjQkk/O3ZR3Jr1nU9N+06O1tbnBRR5R916fyq/b2iwwlEijhVuSsa4zVkIuMdqVxpHlPizRrjxK0Wu2MLPchBDe22PnjdeAdvpis/RfCN5eSKnlvEgP7yWRCNv59a9Ym0qF5jepuiuOhmjbY2Pc9/wAangt0KgvOZWHq2aLisUn0yGbSTYBMW/leUB7YxXGavoK6zZW2l3Ui2+q6evl2s8vCXUOeBn+8K9KCiopLaCZSksYYHjbtzn8KQ7HmmjfD26W5Q6i0cVqv3hHIHd/b2zXozwLJCY9iqhG0KBwB6VJBbLbRfJbNGnbKgVKHB/8ArU7hY4i88OwXFl/ZWqJMbWFy9neQjc8OeqMv92ptF8FafZXSXDXDXQQ5SPy9q5967aO1knYIqKWPJLcBR6mqcF9pN1dGzs9Ysbm7Bx5McoJJ9BzzQBnaypNtJu6lDVWbTHmFnqFo4iu0hC5ZdySKRyjD0/lV/WMm2cEYOxs1ZsMyabaKCFJhDFiOFXHJoEjFtNC08zCabR4UmHUK5ZM/StvPzHd+Ncnf/EjQtN1AWsKXN6oOJLiN/lH0Heultby21C0S+s5fNt5R8j46H0NS7lqxnXWlB70XlnM8Fwvyu8ePmX0YdxV2ygMasCIfm6mJAu764qrqOp2OmaRd6hdqJLe24WIHHnSnolef23xV1Jb4GaxsjaE48iOLaQPZqLMWh6uI1OQKqPpVot4tyN8U7fxRZDsPw61Ytbq1ubGO/hk320sfmq3tjp/SuO+Ini+50NYdO0yQR3k6ebcXCn54x2Uen/1qSQNo9Ahj8sL9/n+/1qSRVKNvcAY+Yt0ArxHwj471Wz1qCK/vZruzncJIsz7tueNwNew3d0I7y3gfAVizyf7qDP8AhVJBcY9rDBOl0628MbdJLh1jY/TPNTagSdNkUhRgA/Kcj86+evE3iK88R6zPeXcrOpYiKMn5Y17AfhXd/DjWLq50290meQukcXmwbuSozgqPbvVE3O78PSBNMk3Bj/pDqAO5zVLV/F2h6Hf/AGW/1AC5P3ooIjJs/wB41SsNYbTrG9kD/NBDcTKPVun+frXhss8tzO80rs8sjbnY8lj6miwXPpu0u4b21S4tJUlilGUdTw1UfEGt2Gg6S1/ezOI92yOOI/PK/tXEfC6/mj0jUoGYssLCWPPYkHP6isD4h38l5baHHuzH9laX/gRbB/lQFzsfD3xHsdb1BLCa0ezlkOISZd6sfQnsa7IyJ5iRGYIz5J/2VHJP9P8A9VfNtnHLHcxyJkFWDA+/avZdSuLg6tdRDIL6RNt/3tpzQI5fWPifcx6s6aJbWyWUb4VpI9zzD1J7ZrvdD8RQazoaamqCM4IliB+447V4Fb2xkYYzXpPhm3ntvAuqyKrANKWT32qM0rDuaHxB8bXOkJb6RpUxhvJIxJd3KABuRwAe1ZvgTxfqOoXzaTqd1JdC4VvJklOWV8Zxn0PNc/44tZZ/FP2pVZoryCKSJuxGwDir3gjSZB4ktJQMLbbpnPoAP8aYj0jRryG2kkV+VSSS4cf7ir/j+leG65rV5r+qzX13K0jOx2AnhFzwo9q9ViIGqQiRisNxLLau/ZfMQY/UV5mdCuLa/mtbqJkeJypBH60AeieEfE86eC5JJ23PaP8AZw55JQjI/niuV+KGrTaj4kityf3dtboFHbLDcf5j8q6y28Nta+CJLVFIuJh5zjv7D8hXM6zpD67BYaxAhdvIWC6ReSkicc/WgCv8Nry4tvFEMcY/dyo6uPXjcP5VJ471KW+07Q4/+WXlyS/V95B/lXSeB/D0lkz380RTC7YQ3XJ6mqup6CLpf7Jm2xy28rzWUjnAmR/vJn1BoA4vwp9pXxNp7Q7t/ngHH93v+ldX43nuLjRL1Ax2Q6ioZR6FPlNb3hHw0+lTTXl1GgmZNkS9Sg7t9e1WNY0QtdSv9na4s7xQl1FH99SPuyL7inYDyLSrOeS8g8tDvaVAuPrXvxPze9c5oXhS20y8W7Wd52C4QNHt2+/1ro1TbmgBD1phOKk7UwigCMnmmk5apSopmzk0mA9APwpyabouoKY9XudQtwp3RNZFgc984/CkG0Rkt92nP4StPE8Me/xI+kzQsdioQDJkDk8imA7/AIRfw90tvG2vW3tI5P8ANalXwgGx9l+JUh9BPDGarn4Va+i/8S/x60g7B/8A9ZqnN8PPiRbk+Tq1pdj/AGwvP5ii7A1f+EL17ra+MtIuR/01t0H8jSt4S8aJ/qx4bvB/wNP5VzMvhn4m2p+bR7O6A/urHz+tQ7fH9mC0vgvOP4olYf8AoJouxHSSeGvGiff8J6NPx/yyviufzqu2keIYD++8CXA/69r5G/pXPnxf4psgBP4a1SDHeOWVf6U5PirfwcTx6zb46/vs4/MUAbRub+0b954Z8T25H/PPD4/LFSf8JJIvBtvF4I7fZX/+LqhbfGAcb9Xv4z/00hR/6VoD4vQ4H/FRD8bLn+VAHY3OlW927GW2jLMMbj1rj7n4W2l1Ix+3SR7myCqnK/rXoIhZfutj61JhlA3KfqtIZxdp4DWytRbQ38gj6tmPeWPqSxNTp4HiQ5+3z5/2UUV2CKGPBqQQ5oA5BvBVqx+e8vCf9kqP6Ug8CaYeTPqBP/XYf/E12fkinLCB6UAcePA2lAAFr1vrP/8AWqWLwTpUfKxXZ+twa7FYl6Gplto8ZyadgONHgvSCebJz/vStUy+B9Hx8umoQRg/O/P612Kwxj+8fapNiBcjNFmBx6eBtJUDGj2v4rmlg07RdMvmiGnWkVwE6hNjAf1FdeQpYYWsHxHbwi3e4SOHzkHO47Tj1zRoB5b4/8MkxG9tkzsyVxzuT/wCtXkdzBsfcB9a90m1aVLT/AEu1+0Rets6kr747j6V5v4j0aGFkvbEFrKbpkcxt3U0RkmDVjl7LV9S0yUPZXtxB7B/l/LpW0L6XU4PtcpVpmbEu0AAt6496xHtjuIA5qTSYpbe+LMf3Mg2yD09DTEdJDepPaYddkkACN/tDs1KDbzWh2yKZUO5U9UPU/nWbu+x337zlPuP9PX+tSTgxXG5cb4z1HcH/AOtTA0dP8x71UiXlwVqvq6xNayRPHtbcc8c5pZdybWhkZc/Mjg80ySeXUY0mlUGX7kqjpu9fx60MSIXJmghuD/GgDf7w4NJZS+TemM/dmXy29vQ/nV8zWZ042TBY7kHzIm/56eo+tZBXeyqGwc9TQhl4qVUo/wB9eCDUMESeRcRoNr7hN/Q/0rU1KwezaKWQqzToGJXpnoazIpfs90kh+70fP908GgRXkQbQKt6QSYrm3zjpKv8AI/0ps8PlM0fdTio7TbHfRs5Kxsdjn/ZPFAFxmZSfm5FZ0ZdNUVd37q4VomX/AGj90/nitG5tRCpViQY+M5rLlycOhB2ncpHqKYxM8Hg596je+ltP3kRwQfmFWb4A3HmIAI5gJEHsf8mqM6gqc9CKliN5L2XW9LjvRICsZMcgHYjv+VbskCS2Pk5bbj8a5PwpK0Ul3aqQNwEqZ9Rwf0NdFNP5U5V3ClsBQTyaEMn0jUH09mgMiqUbhSK5fxBED4huJkA8ub96v4//AF6fr1lcvcG9tZcPjnBqrBNcXmnCW6VfMgk8okf3TyP1zSAiBx34ra0DS7C9Zpr8B9rbUQ8D6n1rDZWLfdI/GnLqEmnsu4/ITmmI7XWdIsNOs7OSzWMRM7AqOmTzXPvC58x1RSG7huMVJHrMep2D2odS6rvjHuv/ANaqH2toj/rDnrx0pDRfljtjAwuTkMAQF6/WsSTwVqt+Dc2UW2I8oXbBamG6kmulZ5CcEE5PavRNK8SBE2ui4H3dtCA426srrTrWyhvoik5hGcnOcHFUC6MhyT+Vd14zmi1S2s7qJPni+R19M8iuQls4QiyNx688UxGdKFVCU+8wrP8A7Ulsmwylh7GugaKJBuypAGRgVvaZ4G0+8tlmvi0kknIUNgLQNHPaDrkd9d/ZSZA7ocA9OOf8a6SCQOm1shuma0rT4aabb3KXVs0qSRklcPnPFZEcbFmWRsCMnilYY1p3jJ3O2FOM1QvJ/InEu4nHzHJrR8jKqGYN/tVm6tbDydy9ehpAX7TxDj+PitaDxIduBLz35ryuWG7jlP2fzCP9kE05Nc1W0G3jHo8VAHscPiGUhdsymtCPX71TymR7V4rB4xuY+JbSCT3GVP6VrWvxAhiwJLKdMf8APObP86d2B66niidT80Z49qv2/jVkGDGmB6rXlcHxE0xz87XMf+/GG/lWnbeL9BlGGv4Af9tWT+lFwPTk8b27AF7ePH0xVqLxTpsgy8Kj6GvN4dW0a5+WK7tnz/dlH9avJFBMuUyQf7pz/Ki4rHoMWt6TJuL9CeBjoKmW50SYE5Tn1Febm2QDAkdfxoEEgBEdwfX1ouFj0lrbRZ8DchH14qNvDujTgDEfP0rz5ftka8TE0/7bqEYG2TJ+tFwHeJtOh0vXntoMCLYjLjoMiqdoxiNzL3Fu2PxIFMupp55hJcZMm3GT7VJp0iCdopMbZ42iyezHp+tZT2KRVeM/Y/OyMK23HfpUBUvZ7v7knX0z/wDqrRkidNLmV1wRIM56g1Ug2nTLgFgDuXA79f8ACnfQGN0x9uoQE/3xXYBs5ypAzXFRN5M6P6NXasc4NUmIQjFMP3enFKxppPFMBB71E5wyn0YVLUU3CGgYywO7TovUZH5Gpj1Awar2C7Yp0/uzN/PP9asE/Nihgh4wMUHrTc88UpPNAEF3aRXsDwzoHjYYYGqYtLhIltblINTs1HyLdrl0/wCBY5/LPvWrFHv3cgKoyT6VU1nUdP8AD9iLzWLo2yOD5UKcyyEdv84A9aACytbeyUrZ2NvaBvvGIcn8cA1aVQVK9q5LTfiR4Zv7oW7m8swxwJbjBT8cE4rriojfYCGUjKsO4pAVLzTba8jVZogwXkHoVPqD1BqWKSS3Cwm+kbb2kdSf5ZNWcwRwzSTyiOGFC80n90Yzj8ua8n1T4pXK6g50O0ghtlOFa4Tcze+Ogphc9YVcDPVvenjBI4GK5LwZ47j8UubC7t0t9SC7kMf3Jsdfoa60sqgAECVmCR/7x/w5pICtNaW8s5C23nzL2CBiv+FWEtHhQM1q0Yx3H+FeafEbxxcWF/JoOiTSW6Q8XM6N87v3UHtjueua4jR/GmvaRdrPb6lcSc/NHNIXVh6EGmFz6E8yMDpTA6zSiKOLfIefYD1J7VnWWrQano1tqsK7IriPeV/uEfeFcj448VTaf4Tt4bNjFcasWeSRDysQ4wPTPA+maVh3Otl1/Qre6NtP4g0xZgcFA/Q+hNaNyR9mfBDBlyjDoRXzBuy3PrXqfwx1q4ntLvSZnLxxp50JJ+7zhh9OlArncaOcaneqTtXYjMfTrVjX9c0zwzpy3Wr3EmZP9TaQn95J/nv2HvWRa3BXX/s6nBneNPw5P9K8m8d61caz4uvZJXzHBIYIV7KinFAXPUNK+Jfh3V79bN7W505pDiOaaUOmfQ46V1pUiUo5CBfvH0HrXzDFy+O9e7W2pTyeAdOvHbMzWyrI3rhtufyosFzT8U+JbLwno0V9cW32i7uCRa2zNwP9pvp/WvPbH4w6wb0HUrazuLQt80UUIjYD/Zb/ABqH4ySSf8JdawZJhjso/L/HJP61wMMJkYDmnYVz6Vhu7We1hvYJd1nPH5qSf7PcfUdK5vxx4xfQdFg+w4W8vciJiM+Wg7/y/HNU/Dnnx/C+MAnerTiP/d//AF5rkfiMz3Mfh65HMcljtB/2gxz/ADFA2YNn4p1u01AXkep3Rl3ZbzJS4b6g9a9r0nXINT0SHVmXarITJGOzDqPz/nXhFraNK4x0HWvVvDOmyr4IaDJ3TM7J9P8AIosAfE3xNcWPhnT9LtpWSTUkM9yw4Jjzwv4n+VePW0skc6SRuyMrZVlOCPpXe/EC2k1DQPD2sxjdEsBspdo+5Ih6GuPstPklG7FAj2e11STWvCFlqU3+ueJo5SO7rwTWLrmtz2/gbU3icqwMFoCD0BXJ/wDZvzrbs9NOk+FrTTWHzqrSSD0Z+cVz0+nC+0650dztOpW8c9s56edGPu/iBTA8nXlhivS/hpcTKup2zsTCIllUejZxXHQaJdw3ZguLaWOdTjy9hzmvVPCnh99IsJjOu25uP9Yp/hA6LUsaON8aXMkvgzRgD8j3dwZCO7g//XNcJHE74wO9eqalo0VzbXOh3jiCOWf7Rp9w33FlP3kb61nad8P783KxXSCCFT80u4H8sUwNXQnurb4asxDfLIWXP9zIrkPiGJJfF0suD5UsMTxHsRsFeynT4W0v7CqbYBH5Sp6LiuNvPDqXkMGnakkkclmCtpfKm9TH/cceopXCx5rpWnTXF9DEiku7qFA+te16w2zXtNRnxHcxTWgY9NzJ8v8AKqvhnwna6XO120wuLkfdbGFT8PWt7WNLi1Wwa3fcrDDJIpwysOhBouCR87nTZ0upbeRGR4XKOCOhFel+AtLaGG51FYyqiAwA/wB7uTWtPo63F2DqumLc3Kj5rmBtnmD1ZfWultoUh0l1SJIlEeAidFFO4rHHsiI5abC2k7TWUr9l8z7p/OvP18P3OnahJb30RSaM7Qu373uPWvYdIsob3T9QtrhA0bzkEEewp8GmPZSLb/bRIi8KkvzOo9j1oHYzvB+iHTNLcPGUkuTvdSPujsPr/jXNaxoJv4k0ljtv7GVzbg8faIG5wp9Qa9OiCqoC9B3qlf2dtdMgmh82Q/6tVXLZouFjhfDfg+4S/jm1C2EEEDbvLblpG7D6Z5rq9bsLiT7Pf2SK91atu2twJEI+ZPxFbFrZG3Q5Qhl4ILglfr6VMse5iNw4ouI8zh8HW1zdNLZXP2a3Ztz280R82LP8PvXeWlhDBpyWcce2BU2Kp6496rapq+laHcqupX1vbPIMrFgu5HqcdBWpZzR38UUtrIk0cozG6HKsPUUDOTfQGSJdOvYDdWMLH7JNE22a3U/wnP3hWrpelWum20q20Tqrj55JPvP/APWq/wCJtT03w5pn2y+nk2MdsccJ+eU+1YPh7xnp3iSWW2hhltZ1QlY5XDbx7H19qBE9lYw6hb6hbTpujdx7Hp2qaKweO4QXE0FyVH7tpogZQP8Ae7/lU2gKrXd1Hn5mlQL+VcX4p+J89nq8tn4egt4reBikk0sQkaVgeTz2/X3oA9EAGP72epNZUunWVpem7iQwyuBu8vIDf7wHB/GmeGvEsOu6KupOESRPlnRfuh/b2rkPib4nuBeQaRZzNEixiSZozhmJ7ZoA9BQhSO5qSS0W4iy0Kuo+Y7yAqj1Oa8u+H+u3X2uTT7id5I3UtH5jZ2mtf4geJZz4PtLa2k2/briRZtvdEwMUDOytLqyuoXOn3drcrHxJ9nk3bPrU+QQT1rwnwpqFzpniG0mt3ZQ0ixyAdGQnkGvdmXYdo6CmIM8GmE0p7UhOTTASkbinZpreuKBAR8vvUOGGamPCjmompADA7e/NUdS8M+MNU8q88PwWctptKsJduS2e2aunO2szVY/GEF+ZNN8N3F3YbF2TIzAt69DQMzpNC+JFr9/wxFMB/wA8v/rNTBqfjTT/APj48LarGB3ilkH+NWB4u8UabkXWga5Djrsmk/qKsRfGC7tsCb+14Mf89UV/5igRQHxE1qw4nsNdt8f3pif/AEIVah+M10jDdfahHjtLBG9aMXxmjlOJL8Y9J7EH+VXE+JWi3ePtH9gz57S2rIaAKsHxpkkA3apb/wDbWyI/lWjH8XLWXiabRph6Ojp/MVH/AG94Jv1Jl8P6DKT3jlVD/Kon0n4fXoyfDBGf+fa6B/8AZqAL48f+Hrw/v9E0O4z/AHZY8/8Ajwp/9u+DX+Y+D9OJPfdBWQ/gT4e3AP8AoGt2h9Q+4f1qD/hWvgLtq2sKPTy+n/jtFguerqFqTgduajH3sn86eCc0ihdgPVc05A6D5fmH+0aQZ6H9aCxoESCQfxAqalUBvpUAJIoEWMbGMf05H5UAWwnPBNTLleucVUDbeZEx7jkVYUjqMEHuKYEvmjPSn8NjJqA8445peo70ASyAlcKfyqhLbyckkNnrxVvqeKZLJ8oXPJoYGcLcnjaPyrM1jw/a6tZS20yKocdQtb+QGzuOfelI3k5bHHTFSB8yeIfD91oGotaXKEd45OzD1rJivZrKcybEmVvvKw619JeLNG0rVNElGpI3lxjKSxrmSM+o9fpXz3rOlNpt9JbM6yKOUkXoy9jVJoVmaEV94Y1tokv5LjSp1TblF3RN7k9quaj4a+xaYl3Z3UeoWqfK0sbbiB2JxXFMxhYHaGUdq6Pw8dEupiJNSl0uduM9Ef2NAxIkL24hzl48lMdx3FRWUwtr3Df6ub5GOeh7GtfV9Jl0qaN1mSWGT5opoW3KfbNc/dtuc7sIrH04FO4i7qVuXhGPllibKn0NZt4u5hJj9265B9KvWty15YbmcNJF8rn1HY1AyBw0LnAJzH7N6fjQBHpmqTvu0q4YOv34Hb7wI/h/Efyq1Ddx2lxHcTw+YinJTrWJcwyRyq6jbIhDKfQ1sJH/AGhAtzHtAf7yZ+63cUAa2pXNhqIivrCRPmASWMdUPb86qWmnm9fYkiJu7t0FYkMb6VqW9xi3l+SXHYdj+Bq/vdHaESMj7uCvY00I29b0yeK2jS4x+9jxvQ8ZH+RXPR2X2aIruJJPpirln4iubsjSr5FY5/cy99/p+NSMUDqXB200BQcNJpw/vW77f+Atz/PNZ0peReDtI9K76w/4R/V7aaCKJIriSMopHBz2z+NcTNC0UjQyDEiEqw96gZHp1yLTU7e4boj/AD4/ung/zrrL21R7iKVyN6NhSW61zVtot5qIkFpA0u0fPjoK6KK2mlsbM6lBJDPF8pD8ZK//AFsUwG3IVo9rNxWVaoJprqCMhhIh4I43r8w/9mrTvbRL3CMzL5fzfL61BLGYGjkTgxsGHvigDIDNvO4KB221BdKroVJGa0NQiEd1IkeRGx3Rkf3TyKoyx5UgNih7AZVk/wBi1aC4P3Y5AWI9O/6GtG5t3S8mi342nAz3FZ8ynaytgH1rdjf7bb2U7Rbt6eVIwbB3Jx/LFIZlzR+V8yjJA+bFQJqc1m/cqO4Na+pxAXBjWNhGAANwqEQxNCY/LUrtJZ/ekBf07X01SKfTxnzHiMibh1ZPm/lmmzmMorqq5PPPNYdoUtNSt7yPjy5AT2yvf9M1uahBb2FzKnmOwViOPTtTQiGeRmhO3AGK2rDX2NtGEkKFcD6Vi/uyFJj+bHRu9c7dPNbyO8TlOe1MR7JYeJXUqGfceO9YeqjZqErLwrncPxrz611m+iXcx3DtXW6dqR1fSVmcbZIZDC/81qSiyrccmoy0U0wjboTipWgcQ7omBY+vFZNxK0W8nl1OetAHpGnWunCFYwkfTpgVpLo2mTLk20ZPuorzKy10ZV1k5A4rcs9adUVY5hgNnk1V0B1MvgbRLsHfaRZP+yKybr4RaNcZ8pGjP+wcVYstQ1IsWEySpjgB+RWiviG8tmVZYXIPUgZxQKzOOufgkvJgvpVHoVBrFu/g7qkOfIuY5Meq4r1SLxYEiO9Hj+YZ961IvF1gVKyxIMNtyfWiwHz7cfDPxHbEkWySAf3GrOk8N+JLAn/RbyPHdCf6V9RR6zpE4+aMqPXrUv8AxJrjo6jPqKVgufKseqeJLBv+Pm+QDs+4j9a0IPH+vW6hZWilA/56x819LSaDpN0OBC2fXFZlz8PtGu87ra3f6qKLDPC4viZeKAJtNgb1KORWjb/EyzOPPsbiP/dcNXpV18INFlzizjBP9w4rn734JWzZMHnR/Rs0CKOm+I7LxCJPsgk3QgbhIuOtWucZ98iotP8AAFz4Qae6MryxzKEIZehzkVaC7+PXFZstElzezXFqIpCpVe/dvrVJFxnitIWLSNOA6qkP3mY/lUE8EUaK0U28n74I6f40k1sBUfpXXo4aOJs8FR/KuSYYHFdHZPvsbc4/gx+VUhFskZpppOg96BVCAnFRyfdNPzjNMY5U0rjILR8XFync7H/NR/hVo/eBNZ9udupNn+OH+Tf/AF6vnmmIcKU9qaDStQMYt2q6haWbf8tGLk/7o/xIrwvx14hfxH4purr7sEZ8mBM8Ki8fr1/GvYr2T7LrWm3cnEO9oWPpvHH6ivEvE+izaL4iu7OUcby8bdmQ8gigRkR8uPSvcfh5qMt94QhWclpLSVoMsckrwR/OvHLOyZ2EjDEa969q8G6VLpHhmOGZNk9w7XDKeq5+6D+AoAzfGuov/wAK3v5I25udS8l8HsCeP/Ha8YGT1r3C90f+1LLWPDLyCOW6f7dYFuhcdV/P+deVHw/e2tw8F1bSQOhw4cYOf60AHhiee18R6fNDneJ1xjvng17zdzhNf0UZwkl7g/ipxXB+BvCbxXo1i+iMcMIxbo45dj3x6Cu41ezmu7H9wwjuo2EsLn+Fwcj8KAseB+J/N/4SnVhL/rPtkuf++6oQwO7cD616N4j8NxeI9Q/tHTiYr+Ti7snHKSDuD6GpNJ+Ht4XBvwtraqfnOQzt7AUXCxv+D7eVPAMETrgyGVl+hNch46tprjwv4dv1XKQxvazY/gcH/wDXXqttBHDbJBCmyGNQsaf3VFc7f2AtZbqCS2F5pV8d09tnDI/99P8AP0pXHY8RiiLsMDmvTPhvprRzX1+FYRLF5IPYsatWXgTR5Ztwu7xUBz5bR7WP4129taW9pY/Z7WFYbeNcIg/nTuFjnL0vbag98oJ+yeVOQO6g4b9DXBePfDsmn689/DmWx1BjPDKo+XLcla9StIw+tTqf4rcf+hUkejvaRywQGOWykOfsdwm9FP8As91+lArM8d0jRZr66itYU3yytgY7e9ezS6XGnh9dJibMccHkg/h1qaytIbNWFtZ29ru+95K4/WrYUbPepbGcRr+g3PjLQ7V40QeIdKTybi3JwZov4XX/AD6iuc0rwHrF3OIPsktuM/vJZk2qteq3GnQTSR3Drtlh5SVTtZfxFWFWeRB5slzIo/56BqpMCCOyt7TTodOt8mC3j8sE/wAXqa5HUtIhmsZNG1HfHa+f51ldIufJJ6o3oK7c8UhtBPgGPeW6DHWkM4Kx8ExhlD3cTRD/AJ48k126QpHAsSKFRV2qo7CpEiihmMBubFJv+eQuF3/9805gUOGXBFArGGunyWc15B9mivNKvjme0kONrf307Zp+m+H9F0+4S4trKZpU5QXBBVD610bWscVm9xczJDCqFnkf7qiuNT4g+Ejdi3F1fY3Y+0NEPL+vrj8KBm7f/NCzE5J6k1Si02DUdAtY5lyNgIPdTk8g9jWhfqPs4IdXRhuV1OQwPeo9IKNpVsjyeWqxF3fP3EB6/wCenNHQRHbQSwII5LppSvG9wN+PrV9FGzaMV5jq/wAVp4r549Cs7aKzV8LJNHueUep9K67wj4sh8VWsjeQLe7gAM8anKkHoy+1KzGmal/aW8tt+/AMatkgjOfb3pNN0ia2bzVtJVj28bhj9M1R1rxHDpGiX2rBVkkt5Bb2iP90zEfM34f0rxl/FGtyal9vbVbs3W7IkEp4P06Y9qfKFz6H9qbO8USu7+UFj/wBZJK21E+prC0LxUNZ8KjV5kC3EG6O4x0LqM5/GuG+JmtXDW+m6Ukr+U8IuZ/8AbZjxn9T+NJILnpuneINJ1WZ4LG/tbiVOqRNz+APWtDKqrMcn2HVvavmfTb2fTr+3u7dykkThlIr6De/V7/SOMJcP5m36JnFNILmT4o8X6P4bvfJuvPvb8oN1tC2xIh7n1qzoPiTTvEGkzPZBoyoO+KQ/Mn+NeE6rdy6hrF5dSsWeWZ2OT712PwyM0WvSqAfLeBhJ9O1BJ6Vocmxb2JWAeW62jPb5eT+VcF4n+I95a6lNYaC8cNtC+1p9u5pSOvJ7Vv29xLHrphUnLi42gd38sYrx6OB5H2kHd/FTA9x8FeKm8SabM9wix3cGBKE6OD0YDtVLxj4pk0nw3JNaEpd6hK9vFIpw0ca/eI9/8ax/hpYSxy6hKuRGIVjz6kmsvxfDNceGdMf5nNpdz28o/uktkfnigLnNaBrl7o2sQ30MsjFXzICx/eL3DV78uqpHPDCoBEiNcZ77Quf8/SvCdK0G41O7gtIvlluHCDPbP+HX8K9c1dF0y4028Zj9mi/0WVvRGG3NAHiGs6pLrOsXWoTEl55S+M9BngflivRfhvqk1r4f1NGLEQfvU/2cg5H6Vyd34Ym0zVpradDtVz5TdpF7EV6T4U8PNaaBcxzJsku85Q/wrjAz70bAcb8TdRmv9T06A58mO1WRfq3esrwZbzQ+JtNmVWH+kL+Xf+ddZeaSutR2trKNmq6Ypikhbjz4/wCFlz1rW8PaA1pdfablBG8Y/dp3z60ATWlw8XiNYo2IMkzquPXyzivFxbyS3DqQdwc7s9jmvZTYzXkl0bVxHdwvHNA57OM1Rl8MWGpXxmZLjTp5DuuIfKDoX7lG96NwMzwfaXNr4V1eUAhJGBUeu0c1geKbKS71uG8HMV1bJIrfQYP8q9htLK3trNLaGMJCi7QO59zWBJ4c8jNuiRz2O8ukcuQYfZGHb2oA5TwNo2/VZbluFgj+X/aZuMfzo1nSZb/S2s4+bjTrx3kTv5UnIYD8K9CsLCGxtxHCixgHOFqtf6TbNd/b/NkiuRwJI2wcenvTA4zwf4XFxqCXMymOK1PmFz/GR0UV6UTnnPWq0P3fnZmx/eGKm3Aj5elAbCk03pTjSDrTEJmmlsmnH7tNA4JoARmGAMUw/e9vSnN0FNbG33NACoPmUHoayF+KsmmXUtubzUYUiYqoe2DoMenPStpJFgiNy/CwqXJ+nNQRfFzSLuMJM+lzjpi4tGT/ABpDHW3xrjYAPqFlJ/13tZE/lWlD8UrC8OJrfQ51P/Tfaf8Ax4VQTxB4P1Ig3Gg+HZie8cyof1FObQ/h5fjL+GTHnva3AYfo1ArmqfEXha/X/SfDWny5/wCeTwtVO40r4c32TN4duICe8UPT/vmsm48AfDqf7i6zZE91UsB+hqFfhj4b+9YeNr61bsJUx/hQBPL8P/hreEmO+1CzPowI/mtQH4Q+EZz/AKF4zkjbsHKf/WqT/hXGvKuNL+IFvKvYSSc/zNQyeAPiRHnytT0u+Huyn+a0AKfgveLzp3jWN/TLEfyaov8AhUXjpeI/E8JQdD571E/hn4jWQ3SeHbC5H/TLbn/x1hVUy+N4zsPg2fI/umTH86APbjyOaRhxxzTinvSY5PNSUC7lHoKeHU9+aaFwSR1peDjNDAePY4oyR1NAIGKcSu4ZoAehPZuaXYoYn7rHqVpo9qduG3JximIDO8aklQy+o6/lU8ciSJuBH51AyuflULuNJ9mnD5dP+BIaAJWmzgIelIWye1NYSA/Mm8e2M0zKD5c4P5U2BKDuHbNL1Jz29KbsXcOxpxXpg5pAZniI7fD143faOD9a8qvfDkF9bl/KcFuSRgV6p4mXd4fuUzg8fzrxbxPfXEV0bZZZPJKrhFrGq7M0hqcxrOjvp0hDOkkefvIwJH1rBcAZ44NbEy5jIJOAemetZEzbWIIpwqX3CdNot6XeRQlYnuHhjJ5U5KfXFXNRhPmFUnSVT91k5U1z0hHHoadb3T277hyvda1M7MlSaaxvPNjJyvUdmHoa398d1As0XCN+YPcVgyyrMS4x81FtfyWcm3G6Fvvr/UUxWJL3UpVnMbKhK8GQ9/ereh3jx6g8DMDFKcfL2bsaxtTYNcO6/Mrcg+oqpbSSpMDGxBHegZ6BewJLGysoPqKpWpEyFDnzYeGPdl7H+lN0rVjqKFLji5QdR/GPWnTBra4S5QZ28Mv94elMTMy5BaZnj+V0bII7VptOL+0W5QbW6Sj0eqV1LbRySOhdsjOAh4qLTb0R3Tx/MIp/lOR0PY0XQEN7C4kEyEq3UkHFWvPN1Zx3TktIP3czHqW7H8RVi5i2sUIwy9RVO2UK0sEh2xTfKfY/wn86QE9p4guNLAaHJTdllrqh4x03xJYrZO+y9DZhWRcbm9M+9eeTRSRSOkqlWU4INUX328ySxnaytuU+houM9QuIWeeDYUz3EjdvpWjHokeorhbpY3PRcZrFivbfU9OivVXmSMljjhWH3h+dUkvru2jjvLaT2dSKLiNbX/Dd3p+nQTysrJG3lbo/Q8jP61yNyAgODgLzgd66xPGEOpWMmmahC6CXgOpyqt2P51y9whildJhtdWww96AKDoJQJF4BHIrT8OzMEu7Y/wAI86MH24b9P5Vr+H7LRb6FxeljIThVVsD610ln4C05buG5sb5wQ2THJ8wI7igDi7mRJ1TEzPn+91FPit4kRZPNiIP9485p17YNZajPayDa8UhXGOv0qhMjCYD+63HFAzNvraZb9iVYDPpxitud4ZtNsbzOZMfZ5vUMv3fzX+VLq8ohjUspZ2/hqrpO6Wa9sJVz50YmhX/bX/EZoEK06EkeU7cdaz3to7hyQGVffirEt35cuERdpFQu0jqdkYGfWmIp3UAi+VOlbHhSUia8su0sQlX/AHk/+sTWRdRpGnysWYjmotM1J9P1e1umHyo43/7h4b9Kko7syEwqqtnjrWNqMLiRj1Dd63JLUQebGjNsgJC/3WX1qnNHG8bFw5yABtpDOKnjkjcsjEfSpLW7vlyRMxWtC8s3MzxxguBVQW9zbqUEXJPegRej8S3tlznp6HFalp8SJ4xiZHI9+a5e4h8yVQ3B7ilOnbgMAigD0O1+IumTqBNGoPvWlDreg34xmLJ6c815I2mSA8Uw6dMpyE/KgD29DYyJiGbhvQ5qSO1MTk210wXGAGHSvEYrrULQ5SaZMepzWpb+MNbtcfv1cD++lF2FkeurLqcRkKShiR8vPGfpViLXNSglCOH6feHrXmVv8R7tMefaxyf7jYrXtviJYOP38E8X4ZFLnYWO8HjS5huVhdZME4JPatiHxooJVmGQM4rgIPGGhXeF+1Rgt/eFaKXWnXS4jnidSOzU1UQcp1mq+JbXVtEubYSKXdRs+o5rj1UDntU6WNvhDHn5D8uDntigphj2qZyTKiSoRHfSF/8AVzRn8QRx+tUTCxgLjOA2P0rQWZDHGssW4xfcOeg9DUBkYJJH2kbJrNXGUdhNbWkN/oQXurGs4R5FXdMG0yqT74q0xWNFwO1Rk808jkjtUZOCRVABOKY/3T6U7HX1prdBSYFB22X9qezOYz+I/wDrVp1lX37tRN/zxdJP1/8Ar1rDk1SEIDzUmOKAlOI496AKl9ZxXtnJbzDcjjBrAutJTUYxaa3ZnUEiH7m9TiUfUf8A68+ldScNhNpOadb273DsqLGsaZ3SyH5R/jQPQ5XSfDekW03mwW1xNKnKfaBgL+BFdQoPJbk9zVSHVNDe6FtDr1hJcs20RqyjJ9PvGrrK0bsj9aA0Kd/p0N9Cu8Hcjbo3VtrI3qD2qCCXUlCx3DxXO3pJNCN/8/6VrJEXwo6tnGf51xGvfEPQtEvXtILWXU504eTzdsan0GOv4fnQF0dfbCWVzJPJvf8AID6VOwA71yPh3x3pniC5NvFA9nedVhd9yyD/AGT6108koWFnYcKMmkgKVzpto0wnaJfM/hYD5v0qeGI7cujbe2Qf61zXjbxm/hWFbOzCPqtwgd3dciFO3H8vzrzi1+IXiW3uRN/ackvOTHKAVP4U7BzHuOBtpfI3r93cW4A9azNC1yDX9Ihv4l8st8skec7HFU/EviZtF8L3OpW7KZ5Jfs9rn+E85b8OT+VILmlcXmm2Egiu9S0+2kPAjebDVabHlBkdZI2GUdGyrD6ivmx5nmmaR2ZnZssWOSfqa9H+GOszCefRZSWt5EaaEf3HHX86LBc76wbOuSR4HzwZye2DVrWtV0zw/pn23VJCqE4iiQ5eQ9Rx/nHesWe6+zapn/nrF5f5uK8/+Kuqve+Khaf8srKIRgf7R5JqhHTWXxW0qe/KXOkva2zHiRJN236r/hXcq6SeW8bq0cgDK4PBU96+aowWbFeyeFbyc+AgG3b7XzIk9do5H86VgudZ4g8TWPhfw2NYaATSyP5Vjbv912xyzf59BXkg+Kni9tQNwdU3Luz9nMSeX9NuK1vivcPLpfhiNCTB9lZ1/wB4kV51b27yMdvbk+1MR9CaRrdt4g0W31eOPyA5KXEXaOQdcexrK8beLJdF8KJNp7mO61GQxxyd44x3H+e9ZXgC3mi8JaiWJxJcAR/ULzWJ47hmuvBuiXIyRayyW8o/usTx/KgDzsyMZDKzszk5LE5OfXNe3+B/EU2s+FzNdsZLmyfynkY5LrjIJ/lXi0NpJKruoOxe+K9b+H2mzWnhe6aVGUXU2VBGMgDGf50AiD4l+IJ28G6ZbRuwF/K8k2P4lXoPz/lXkcSsXG3rmvTPE2lz6p4MhEal7nR7mRJoxy3lN0bFcVY6ZK7RkDLyHagHOT7UAeq+C7l7r4fIshJa2uGiQn+7jOKoX17OnhHXI0JDrZxgH/ZLnd/Wui0vS/7F8Mw2DHMmfNk9mPasVoxbJFczoz6dcQSWl2FGSq7jh/woA8cSNpGAHU16N8L7aaLVryRR+7+z7X+uaqp8P9QguAbcJd28n+qnRxtZfWvRfDuhQ6FpxiBD3EuDMynjjsKARwXiyOa48GTxjJay1eRph6K6/Ka4CG1dwSFr23U9LeG9u5VtzdWOoRiG9t1bDEDoyf7QrOsPCOkpdJKk88sKHiFoyp47NQA7wrok9t4Au4ZFKyXjNKinsNuBXKeMNPn1Kw0fV4kLD7OLafH/ACzkUnrXsTDcvQDI6DtWG+jS29zM9m6GG4P7+3lXcjH1HoaV7DPKNC8Lz6pqcFvGmQHDSt2VRyc16x4gilhjs9RtYy7WMok8odWToR+VXtO06KxiKRQxwqxyyp3q+V3Aj1ouNI8b1bwbINTe+sP9K066fzIHi+bbnnaR7V2fgzQP7NsrmaVMTzKM/wCyo7fWthdLtrS8ka2Z43c7pI4gSCfUjsa0bZFitpo1yMAnn6UxHMnTZ7xLuazcJd2t0k0JPc46fj0rJfwzYajqElzan+z5JG3T20sedjd9p6EV2Ggr/pOojsGU/TinahqVjpapNfz29nFIfk+0N8zfgKWoEmkabBpmnpbQL8q8sx6uf7xrP1DRHjubm5tlSaG6UC5tJfuPjo4PZq2bO8tr2FJ7WeOaF/uPG2Q1WLyW1stOnu7u48m3hTfLJ6D0HvTAwtI0O0sJTLDaeTKy4LM24gegrZnt4rm3eCaNZIpF2srDg1xOm/EzRLrUlszaXVvFI+1LiWQMPqw7V6FaBA5ZyAxIVc+vr+A5oEc9b6V9idIEvJHjj/1ccmHKD0B61rIoVQB1rzvxp8SL6x1yfTNAkW1gt22SzbQzyP35PYVv+DfFb+IdLmkvtgvbY/vWUYEino2KHuFzavtLiugGNms83VcjlffPamwQpFEVTy2ZeH2OHx9a5X4j+J57Lw1aWdpJsm1IMZnHUReg9O1ee+DtWm0rX4JkZvJkYRTJ/eQ8UAetaZIseoXm/phKi8QeJtL8PzRJf3D+c4ysMKBmx6nPSoIpEj14Qvysk0a/Xqa8d1m7n1PXLy4kYs8kzY9hnpQB73ouqWet2aXVnMHibg54KkdiOxrH8ceJLTw1aQL5K3V5N80cTn5VX1OK5PwA11Z6Pq8gRjFs3KccbsHNYnj+eW/1u0lYfK9nGU/WmB1/hPxxJrl09ldwRRTbd0RiztbHUc960PEniVtH0Ke8hObiR/IgJ5Ct3b8K8/8ABFnMPElk6ZwrFn9lwa1/FsVxe6D0LNbaiwcegZflNIRl6D4y1eDVYjdXklzDI4WRJWyOT1HpXsSkBSAeK8X0LQJ73UoIFQnLBiwHCgHk17OoAUAHgCmA/OKAcKSeKb70F8Ad6YDiQfxoHFGQaTH50ANYA0wjJpWJzQvLe9AE8Nza2EIubyKOa3Xh45GCq3sSalM3w+1Af6T4Uhwf4oQrf+gmoLmx0TUrR7HxAbgWUuP+PfruByM1jyfDP4eTn/QvEl3Zyekp/wAQKBmnP4S+Ft4CDZXlmT/dWQY/nVU/CnwLcHdZeJ7i2PYF14/PFQw/C6dG/wCJP8QYT6LK3/2RqWb4e/Ea3Q+RqmmXyf7Sjn81pAPHwflQbtI8cv7Av/g1RyfDX4i23Nn4kt7kejv/AIisqfw38RbNsy+Gra5x/FAwB/RqYNZ8V6Rlrnwxq9vt6mJ3x/I0CLkvhj4oWv8ArdOsbwD0EZz/ACqjLdeNdObNz4ObK/xwrIP/AEE1Yj+L19ZkJJJqluR2miR/54rWtPjUzgbtRg/7bWrD/wBBNAGAPiLrdl8tzpGsWwH92Z//AGYVZHxelAAM+sg+mEP9K663+L1vMMTPpc4PpIU/9CFWv+Fg6HJ87aPYEnuLiKgDrSTikAp340vHakMYO9OC5zSgUo6dqAAJTiv1/OmjinDGPmNFgFV8cVIGbGOCPekRM9KlWLI5HWgAXeSOm0Vdwxj2kjB7VXW2Xb1PJqykbKuM5NMBiqcYJ49MU2SMAc4I9KmZCVOCufeoHbDDewDdPagCPyEHKEofY0wNtb74kJ6BakJMn3T+lZWuwyxWhkGeFb5l/hrOc1FXRUY3ZLrNu0+kToEcswGBjmvBvGamHVinIIjHFdKwmkfdJfXDIhzgy9f1rL1jTkvHN0HWPjBy+d1crq3eptGFjhxK6QkSDAY8Z61QndPM2hSQeprqJLGzjfe95DnHc1WdLT5tkyv/ALq0udIuzOSnjO8+UGx9KhCzcZhfn0FdFJcRK2VD8f7FRSXkRXmKTHstXGqyHTTMI+ZENzIyj3FO3CVcg81p/a0dTticr71VcwSsWFsVP+ycVqq3dEul2KZII2P07H0qsAYphn/9dXpURydgIx2Jqm3dGHy/yrWMlLYycWi/BcPaSmSI4JXFbsF9HqVkZANjrw6eh9fpXIiV4flb5kPQ1YtrpreRZoT9R6j0NMRsXyFI9y9+DVG1v2tZcSxiRfpV6e4S6tY3j79Qf4T6VnTR5Vu9AHUSanpup28b2pMU8aYlif8AiH94VQmizlhyDWDZt5eZFyk6MGQ54I7iuk82Foo5FICSDpuztPpVXEUrlDcwNJyZoR85/vL2P+fasmVMqeK17idYnZkYBgOtZgnVpAuRj2pDNPwlqP2W9awlb91cH5PRZP8A6/SuplgKq6bUVD0AHSuasdIkuiGgRZG6jHWunAukswbqKRJR8rbh196EBzNzbGFst0zyasXkX2uzS5XJOBHMfcdG/EYq7dxl4QdvX2qnBKIJjFI37mYbXGe3r+FIDJKy26+ZHKysvcVpad461OwISRY7iMf3uD+dVri3eCWWKTnafz96yJogHJHWgR197r0GuONRhiaKeMKksZOdw6Bv6VKzwkB3twXJwduc1ymmXYs76OVhlD8kq+qHrW1NLJZXEiLJl1bG4cgjrmhDO90220DUIFieCNsDqfvfnV+LwbpK3aT2c7RyIcqC24frXlss8sYN5btJHn72DV/SfHmqQ5RxHOq/3lwfzouA/WtEOka5eWzfwtvTjjaeRWJcu4QbW57kV0Oq65F4ohM8dvLb3loAJVY53xk9R9D/ADrnnTDAZ5zTEU3RQu9nyT61Qlh3p3yTXpnhj+yjBtuIIJJDwS4BNbx8H6BqL+b9mWJ+uYjtoBHIWxkl0Kxmlidp1j8l8dyvQ/8AfOPypLOCRpHlnYrCvJDdx6V2V/4Pe00e6NrcNJGoEiqeqlff6Zrn4IMW2+QxqxThXGcUhme0ax2ct/EhIK/dPasGKWa5mk3nPy56dK29UtrtbWASYwc/c+7UF4iWVsJVjVdyj5ehJxQBzd3E6yl1PI9aItUjUhJPlPoavvaTPD5kn8QzjGMVj3GnXUik+Vge45osBrxX8D4HX9auxeRKOJVBPHNcU1rPEfuMDThdXMPCu2PekB3yafNOv7vypPaq8+izAnzNPJ91FcnBr13AR0OPqK2rTxtPEMM0y/8AAtw/WmBI+k2n8ccsZqu+iQn/AFVyFPowxXQWvjC2uVCzGBv99MGtJW0q+BP2eNs94pBSugOHfRLsD5Ckg9iDVd7K9t2z5Uie6ZWu/bRbCTmKSaI/7QqF9BugCbe7SQfWjQZxkOsapa8R3Vwp9zmvVtCu2v8AQbG7c7nki+c+4yD/ACrj59PvY/8AXWqSD1210vhST/iWSQGLyvJk4XHY81DSGmbao7thFJx1+lI8TK5Vxhh1BqUqVh3AkBzjj2pZG3uDwMgVFmVciCZXipLT5bnB6NTM7W96A4WVHHrVITNQnFRP9M1IPmxUEjnzAFGfX2rQQ40djQxwM9qXgqahgUryLzkeL++pX9KtWM3nWcEnUsgz/WoJTtAb0pNM/dwyw5/1UzY+h+b+tNAaOc0tNHBpQaoQ17n7IoI/1kjCNPqe9ecfFfxPPDcx+GrJvJt4o1a48s/fJ5CH2A5+prstauPs0mnzH7iXcYb2BOP615N8TIJIvHuoM/Il2SKfUFRTEcortuFe2/D7XrnWfDksF27y3FiwUSt/FGRx+XSvFYYS7Y/OvWfhdpstvpeo3bEiOd1iT0O3qf1pAbniDXZLPw7r1xGSHt1S3jI/hLd/1rwUkk/Wvb9X0/7X/bOkbgG1GBZoS399OCP5V439imiuWgmjMcqMQ6sMbaYBZPLb3Uc8TFXjYMGB717xqF432O1mPyxySxbvoSK8t8MeHf7Y1RImV1tU+aWTH6fjXq2o2H2zS5rUMV3D5D/dPY/ypDWx5B8RZJpPHOpecSSrhVz/AHdoxXNRRb2xXpPiTQJfFG3U7QBdRhUQ3lq3DkrxvHtVDSPA+oXEqo9s1umfmlmGAP8AGgR0nw6hkg8N3TMGCSXHy574XBxWT4tjlu/AMLBsmx1GSOVf97OD+v616FpmnwWNjHaW2fJi4U/3j3NZOo6ebW5upUtlurK7TbeWp/iPZ1/2h+tGwHiMNsxkCc59u1ei/D/STHqz3xH7q3iI3f7TcAfzrStPCeibg0V1KkJ6pIvz/nXW2VrBa2q29rF5UC8he7H1J9aYGBrcE00jiAZmEBZB/tKQa5L4gaV9vuLbxHYoZLW7iUTFf+Wco4w3+e1egbQdXtvdHH6UJpUtrcyy2DrGs3MsLrujf3I7H3ouB5BpOkS3F3FFFD58zEYiUZzXs9tYJb6almFXlSX29Cx6/wCfap7S18lTtgt4S33vJj25qxtCNQ2Oxxt7oS6zo0Xhu6nEF/ZyF9Nnl4WZT1jz6/8A1qzdO+HmsRTGGW1ECg/PcSMMD/GvQp7OG5QiWNSvfcOlEVmVUYiuCi/3s4/WhMQ23sbexsYrC1B8iMdT/Gx6tWBeaa0LXkEtqbvTL3meEffVv76V04qRLYy9sk9B/X6UhnG2Xg/TIpA6yyyW2QwgaPBz7n1rqkVQioqBI1GFReiiqFzrmh2F99iutbs47n+KMDhD6M3rWg5AX5GDKwyrKcgj1ouBmXGnSR3xvrKUw3GzYcDKyD0Yd6ltbYRP5v2G0hmPBkii2n8KvvLBZWM9zeSiKKGPfJIf4favNZvisgvsWujRfZN3WRyJGHrxxQB6HcDMBHeq2mQrLpIRlz87jH/AjSWmp22raPHf2hJhl6A9VPdT70zTLiJYFjm/1SmWaTn+FT0oAmtrOOLH2W2fyj/FGMKf8a0R8uF24xXhXijxrqXiDU3kS4lt7RTiGGN9oA9Tjqa674b+Kr2+nfSb+Zpwse+3kblhjqpPeiwXPRXyxVQu9mOAucZ/HsKwZdf0KwvWt7zW7RLjdh0RTtQ+5qj4j8QS6foeuXUDlZlMdnEQfuE8kj/PavESSzFiSSe5osB9ORkOqMCGDLlSvRh61n6/q9loOiSajfs7RbvLhhjOGnbvz2HX8jXHfDvVLg+GNQilYv8AYzmInsCp4/MVzfj++lu7Hw6pJ8s2XmY9WJ5NFgub+j/FKGbUlhvdOS3tpG2iSJySn1z1r0nzRFt+ZQ7MFQ9QSehr5mhiY/NzgV7fHcy22j+HHmJP72JXLenNFgucv8QfG11FqsujaNO1vbwfLLJEcPI/fmpPh/4wvbq6bStTuGm8xD5EknLbv7pPeuF1u2lHibUo3B3/AGqTP/fRrqvBnh6c65BKykLApmckdh0piO60+9EWoTQf89p41b3AUsa8e8U63PrviC7u53LL5hWNSc7VB4Ar0y6k+y6kL1v9XDdReZ7KwKn+dee6n4dfTtcu7efiJJCY2x/rFPQigDoPhbqksOoT2BJaGZfMx/dcd60viBqlxN4NgjWQ7ZtRkVwPRBwP5flVrwBoggSTUpIdm/8AdwDb1Xu39Kk1XR01CO90KUiKR5vtli7/AHWb+JP50wPJIrdnYcce1e72l9Oll4ceRiDLGitn12YFcbpHgm8ubxYrq2NtbRn947/xD0HvXoOraZ9u00W8LeS8W1oGH8BX7tAHg9xZzyatdJID5qzPvz2O6vQvAOkTR2uqzchWjEC+55NXptFtdUvpJ7mCWyvmP78IuUkb+8prrNNtIbS1jggQxxR9B6+59TQB5h4tsZtQ0TQLxFLGON7Wb/pm4PeovC3htrzVIkHMMZEkrY+6o/8Ar8V6LcaEFup5rVlEdwc3FvKu+N/fH8J9xVuztI7VPLiijjQ84jGMmgDnrtJftk97DGXe1aOfyx/EAeR+RrkbzwhK2oPfacPtdlcsZI2j5255wa9E0wA6tdjrmIf+hU9tNhS+Z7a0cZ5dovlTPv2NAFLw7oh0/SDbTcmXLOOy5HSub1Pw19qMNneLJG9rlLe5ClkePOQrY6EV6IgAG3aVx2xVe6aGJJ7i7uYbS0g/1k03r6CgDE8NaFHpdq4R1kZ/vOF/Sk1LRpRdS3FsqyLMgSe3YcS46Yx0NaGja3pOtpN/Zl2ZjD99HTYwH94DuKtapcWlhplxeXkrLBCu59nVvRaAMnR9JjsV3Jatb+ZywZst9PpW13HHFefab8S4LnUlt59NENrIwRJEk+dcnGWrv164/WgBSc0wjHPapMU09KYhFf5aXd17UhxTDigBSc06NcsKi6mrKLtHHJoGVdV8Naf4jiiS68THR7iFiUUfxZ7k1np8MNd5OmeOrK6HZZG//XV3UvA/iHWroX+k+JdNiR0UC0kOSn196x7vwb8SNOy4tNP1BR3hAz+mKQia48DfEqyH7uHTb5R0KbM/0qkYPiDpnzT+FrvaOrW0jf0JqodX8ZaQx+1+G9Sj29WgaQD+tWIfi1qVmAsx1a3IPO/D/wA6AHj4ga/pZ/0qw1u2x6uSP/HhV+2+Nkytte+lA9Li1DfyNT2nxmMw2S38BHTF1aj+hrVj8c6NqS4u9M8P3ueuNqH9aAIovi3ZXIH2htHnHpLEyfzFTr4q8H6muLnw3pM7HvE8f9RVaeDwHqB/0nwf5ef47WQf+y1UbwR8M7vOBqtgx9ZDgfnmgC/Lovw51AbpfDd3bk/xQMcD/vk1WPgf4Xk5+0aon+zvfj9Kr/8ACpvDk+DpXjWSFj0WRh/iKT/hT+tjiLx1Ds/h+Zv/AIqi4Hq5IHajPtRwaUAUhig0oPtTCc5xShueTQA/vS5B9aZv7U4SAUwJ0LE96nQuvJPFVRMARin+fKJBgDafU80AXY3cYAByf0qyG4JxzVSOdzuOB6CrED71OTyO1AA8qgYNZOttu06TYcOoLD2461buhJk4cYrB1NHlhKGVwW4LDg4+tTJXQ09Tg7u+1WZFP9p3Qz6SkfpWZeHVLgBHvbh48YI85v8AGurj8M2XPmXl2p7HeMULoVrCxZXlY/7b5rj9lJ9To9pE5W3iLptkO1h6DriidFC8ImPpXSSaLZly7IWYnqWNQvpFn3hB+tP2L7h7ZHCanpH2ry2VlV81EmmpHGEeQZHB+bFd2+k2fB8gcdMCqz6VZnJ8lQfUCr9j5i9t5HCS2EA485f++qy7i2to2wZFJ9K9El0u3H/LMYrPudGgbpH+tCoeYvanmbKse7H3fpUQuYQSG/lXdXOhoScJ+tYt1oSZOVUGq9kL2pzDTxKxxnn2qtJKGYZGQK1bnSfKJKNuHpiqDQBScgqaahYTncqEdhyvcGosvE2Vzj0q6YgO1BT5ema05iLEVve+S+V7/eU9DWiJYp03xHp1B6isx7VXJ2naajzPatux+Ip3uKxfkTcOaZbTNasULM0LfeTt9frSRXaXAx91/SkYYzxTEaLp5xJ3Bww4PrWeYWhlbKFhipYbz7MrbgSh6+o9xVr5XjDhgyt0amBSstSvLO5DwTtHzxiurh8d3TWxs9VtRcQkY81OHHvXHzptnI461aeVFRN6n5eOKAOvuLmGOyinDeZFJjY46sKoPDb3jecgYtHxkjFRaTNb3Ft9m81MZ3IrHHPpWqSoxFn5wOh60gKU0BuYA+4iW3X5v9qP/wCtWHJ82WAG2ugctGCY2KtjG4VloV3hJuB6gcUBYyXXbJkKPeui0+eK/wBN8qVAZrbCn1aPt+R4qzY6H9ubdbPCx/utVo6RdafOJ3s2G3higyCO4oAqAQtaybE2D+IMOtYrwpb5eMjy/ata/BMggGEQ/Mv+0KpyQReW0IlBcfeX0oAbY3kcEy3D8w/cmT+8h6j/AD6Uy8t2trpoWbOw5U/3lPQ/iKrqgMOzpzn61cZRd6SpDbrizHzHP3oieP8AvkmhAZ3mTxuZYpWjZfStrTvHOqadHskWO4jbru61j4IiORiqMhwu33pNAeo6Z8TdOH7u8SaAMME43riqc8Fu0xubC8WS2lBMJB6juOfevNjhhzjNdF4buBc2culyvsKHz4OP++1/Ln8KAOj+zXtzbSeYzDZgBCev0q7a+GbbVolkubyQyEY69KltsxQJCCzbV+8elYVxqdzot4YVHmxSHKnptp3A6Z/A0xiVbW8EgX/nqvWmy6BfxKA1mJAOrR81TsfHNtCFjuGliz3xkV1en+K7a5UBLiGX23UcwWOS/sW2aU+dbsjejLimT+E7GZDtVc+lejJqlpKMSwjafTkUhs9Gu+V2RsfQ4NO9wPI7jwCjDKgg+1Y1z4Guos7M4969zbw2wX/Rbkn/AHuaqS6TqULH9zHKo/u0CPAZ/DOoQ5Pkkj2qi1re2z/dkUj0yK+hJY4AcXdkyn3Sqkui6LfjAwhosM8Og1zVbTHl3UoA7E1qQeNr9WUzxRTEdyuDXpVz8O7G5B8loie3auc1D4X3MR/doW/3OanlQXM+28ewNxNBJF/uNkfrXTeHvEdlql2baGbMjIWClcHiuFu/BV/bn7h49qZodpe6J4hsrpo32pKA5x/CeDS5B3PYxIfLdB908/j60xjnb7ClK7SQKPxqBjSST1ph79cipCM03HJ96oDTtmMiK/Yio7S1a2Vw8nmZb5T7f403T5CIyh4KnFWTxTEIwAUVGBg088ioz1pDGOoYEGq1uSuoOD0liDfivB/SrTn5c1RnPlTwSZAEcwB+jfKf6UAaqmnVEPen5qhFa/tEvbWS3kHyuMfT3rl9a0O38Q20FtrUhtdRg+WLUFT5Jk7BvQ+3HtXYE8c9KaUBFMR59p/w22Tg3Oo2/wBnz/yx+ZmFegWdtFaW0dvAgjgjG1FpUhjU5CjNTL0oGZ+qael/EBueOVTmOVDhkPqKw5NKMkh+36ZBeSr92cNtLD6f/XrrSp2FgCew9yegrC1vXdJ8PbRqt8wuHXctvbrubFIC3ZWaQxqkcMcEa8iKPpmrp/SsPRPFeia/P9nsLmVLnHEVwMF/pW6rKcF/lHc+lSMoXOmW00q3LZjlQYEqHawH1p8McIzvnkl9PMNUfFHim08NaTFeNCJrqf8A49oGPH1P9fwFeYH4leJDdmU3URjJ/wBT5K7Pp6/rTsK57QCu3A6dMUwqGXOMg8fU+lYnhjxDF4h0g3SII5Y28uaIHhW7Ee1T6jryaPompapsEgswsMSdmkcd/wAx+GaEBpSJFbkfbbqxsx2M8oBqz5BWBZVeOaFvuyxOGU/jXzbqGo3Op3sl3eTNNM5yzt/niu4+F2u3Fp4gi0eRy1jft5ZjJ4WT+Fh707BdnoQUtrdkF5Zt6j8q1NR1HTtE0l9R1GR0t0OMLw0rdOP89vSuc1e8fTrpLhP9ZEsuPrtIrkPi1fyPfaZp4Y+TFarLt7Fm/wDrCmBpR/Fmx+2LGdEaO2z/AKxZsvj1x0rvLe6t9QtYLy0lElvMu6N/b+hr5tiUlxjqO1exeATMnha7jJOxJd0QPbK8/rSsB1eseJLbw74cn1dkWV1byrWNujyev8/wFeLXHjzxRd3v2ptau0fOVWNyqqPQKOK6fx3LJc+ANCkXJUXUokA7Nj/61ee21s0jYAzTsI9u8H+JW8R6KZrkIt5btsn28Bx2el8XeJ5tM8FXd3ZvsmnmFpC46qOckf8Aj351hfDqxkg0/UJypEcm2Nfcjk1F4ns5b/wLe28SlpdNvzK69/LYdcfjQG55Tkk5OS3rXr3w01C4fQ7m0n3FbVw0JbsrZyo9s15dbWDyHceF7e9et+AtJlsNCmmmTa13IGQY/gHf8SaLAZfjzV5pfBUYRiBc37rKPUL2/l+VeXxRtI2O5r1nVtFGpWV7oJKpceb9ssWfhZD/ABLXM6b4K1J5hG1nKrbtpdhtVfx9KAOm+HvnR6BexOD5ImDJ9cc1O7yvHf2kZ/eSWVyIx6nPP6Vv2Olw6RpK2cDbgvzO5/iY9fwrM+xzyxC7tCBdW1y5j3DhgcZU+xoA8RiheRsKtegfDjSJ/wC3muwp8qCEhmI7twMVunwjpl/eSTx/aLCSRt0kBi3BT32t0rstPtls9Pt7KEYt4R8vqx/vH3pAcL4i02W8tde05ATN+7voVH/LTHDAVwFjpLPhnQ89BivctQ0wXckU0cjQ3ELbo5U6r68dx7VDb6ekd20z2tos2f8AWpHgn39qdx2M3wjoLaXoMsU6BZLo7mTuq44B965vU/Dr6rZRaVuCahpzOIAxwJ4GPY+or0pFC8cmq95YW10oe4iVwrfL8uTn275+lFwsed6L4EmkvUa9heG3Q5YMRlvYCvQdX0tNT0p7XPl7h8jKPuEdMfSrtta+THu8mRRjrJ1qcAMQvGTRcLHBXHh+PUrwT6hC1rqGAkssSb4pgON3sfrXVaTplvp9k8UCnDcu7D5n9PwFLrGp2Gj2gu9Qultrdj8h2bnk/wB1aj0fxDpevwSPpt35vl/fRl2Ovvt9KBFOwtoryfULeZFdJIkDKehp8WiNAqQTPHc28Z/c/aVBaMegbvTNNuUtdQu5JOnlJx/eOTgVjeNfHCeHrsWNlbwXOpBczyzDKxZ6KBQB20cKxqBnP0qve2FreQbLlA654BHOfaua8F+NP+EjWW2u44oL2IZHl8LInfjsRWh4p8Rpo3h+9voGR7oEW8ORnax5J/z6UDNW3gSDahD/AC/d3tn+tX0Tf+AyT7V822+s6lHqq363kxu92TIzEk/Wvd9M10XOl6dc9DeNGpHoe4/MUCGa9rWneHzG2qXYgZyTHDHHvkYe47Vc0rU7PWLJLuwnEsDHGcYKn0I7GvEfGGozat4v1KaRi+JmjTPZVOMV1Hw0muILm/t/m8t4PMx6MDx/OmFz0TX9XsNC0GbUb1BJGh2QwhsefJ6fSuO8N/Ej+1dWisL+wtLSGZtkckGV8s9s56is34hzS3Hhfw3uOUczMT6tmuP0ixllv7WONSZnlULj1zQB7BBN9n1m5Ry0bMgQFeoO/tXn3xC8ZXep6tJplpPJFYWp8sqjY8xh1J9a7PWZvJ12W5z+7t3jd/oHANeaa3oVzB4jvkkQgNM0kbf3lY5BoA7L4deIbq4sbm2upHlW1AeJnOSB/drP+JmryXMGjWMTkQNB9pYf3mLYBP05rX8C6AltptzOc7512DK9u9ZmtaDNq1taIik3mmhraaFfvMm7KOPWhAYPgOae28XWBj6Sv5bAd1PWuo8cXcsvhi5jDN8uoBG+m3j+Qqz4J8MzWV0b+8iMbKCIUYck+tXNf00pJd+bFJLZXYXzPLXc0Uinh8dxQI8ntbGUlWAwxIxxXvlkHW0hD/fCLn8q5XRPDMKTrPMRMF+4u3Az6muyC4A9qFuADpSHpT+wpj/dpgR9qY/PFSNjbUXbNACAVet4/NdET5mchQPWqQ9ajvDqI025OmWct5dKmUii6n3pDKF54S+JNnPK40vTryMuSoUqSBnjng1SbVvHGjt/pXha8jA/itpZBUKeO/FWlDZeWOtWm33LD/x4VpWnxquoCFmvJgfS4tc/qtAiGL4r6laEC7/tu1x18yMSD9RWlF8XNLul2Xc1nOD1F5Zbf5Veg+LtlfqEu4NJuQf77bP/AEKrB1fwNqv/AB/+F7Vs/wAUGxv5YoAzBrngrV2zcaD4enJ7xSeW360kvhb4eaiM/wBiXdpn+KzuA4/LNWZ/DHwt1D/l0ubEnuAwH9ap/wDCo/CNz8+leLJbd+wZx/8AWpoCm3w08Hsc2fiPV7FvSWE/4U5fhtqSr/xKPH8Ei/wrM5X+Zq2fhR4pt1/4lHjMTJ2DSH/69U5/BfxQsjk/Y79R3bYc0ARv4D+I8BJhuNL1FP8Arohz+YFVzofxGjOw+F7diO64wf8Ax6mvceN9KybrwkTt6vAGX/0E0n/CxPEMXyHQ9WUrxj7RJx+lID2jfnvSZJbrTsdeRmkxg80hi5oB4xik60UwH9BTgM9Kjzxx1oG7nHFAEoyKnG7AOaq7iDjv6VMrFvlKimIsIACMt71ctdoZsNndzVBVYsMYqWIuvAbjPWgC9P5SoS52+9Z17bRTxbSyhh6VZnDyR9c+1VrkHcBnaVXFAGM9iI2xINvvmo7ixJXKh2961kbClSQQetVZo4SpwxU9OtJodzAZW6EGoyuK03QL/DxVOVTzxxU2GUyXxgMQKqvESTV1kpmzJ60kBnvCRVd4D/8AqrVaIt1PFQvEfXigDHktNwO7rVCbTUbJIGK6GSHJ6/jVZ7ZfegDk7vRYnBwvNYl1oyDOY8j1xXey245qjPZK3/6qYXPN7nSQhPlnB9KzpIWRvmTHvXo9xp0ZGdn6VlS6fGjHfEXTHQHFS0BxBU+m6gKOmBWzd6eQ52KQPWsyW3mj/hBpWKuVHsYpTkZQ/wCzTfKuY+HQyr/eXrUu6VSeB+dSq5yM8fRqXM4jSTKn3gewp0FyYDtHMZ6j+oq2djLh8EVVls/4oXyP7ppxqIlwZM0UbHzFO4HvTXHFVY5JYXIxgd1PerIdJFyvUdvStLk7ERXJ5610WkamGQ29w2ZMfI/dvauePU0gcqQQeR39KAOonvYz8p4+vpWdJdQs4QJtXtTIL77Yio8SGZe398Us9nJCqygZB7f3aADdPBcKbeR429jW3YeOtVsW8u5gW6jzjJ4auahlIuRuPJqzM8aN852kng0gO4m1vQ9dgjaNkhvY/uROMFvasAW8EtzJOhYHfjmqlppceobRHNGH/hJrY1TRtU02FL2aMlBxIV5X/e9qYGVNb5nbc2UZeF/u1Wh3W19HLEgcL99TxuXoQf5VoTI0sCGH92fvFe9VogzAyOmxzwFNAFXU7cWtxhGVoWG6Jh/Ev+eKypEyN1babJLKS0mwHU74z/dPcfQ1EdMkkj4GQD2ouBgbCrnnNWLS6lsryG6hP7yJwy1oDR8ud8mxvdaV9GcDKMJB7UhnYx3dvdiOA5ME6iSJwcdf4fwOR+FU9Rt5J7zzUmBttvNVvDJ8qQWdznchMltnqD/Ev9fwrQaWW8upklh2xL9wlaYjm3WN+VIZc8Go5YMujoAuP4hwa0bu1lF2xDfudvyqB0qkJAONwOHxUjHR65q1iP3N5KAvZjuH61qQ/EG9g2pc2cM+e6naayL2MbGIrNdR9qw/AI4pWA9O0/4habLGu+5ltH9JRx+ddZYeK2uY1a3vIbiP2YGvD1sUdTikXTmVt8TsjeqnFGoH0MutwSELPbov+1inG20W+5yqMfwxXg9trPiHTseTeySKP4Zv3g/Wti2+IF5Fj7dpwcjq0LbT+RpqUgsj1t/DakZtbo+21s1UfT9YsjlN0gH4Vxll8QNNkIBu5bVvSZcfrXWWHi5p1Hk3kVwv+y2afOgsIb6ZCRfWu7J/iTOKjaHQr/iWFYm/2eK108QW8x23Nqv4CnFNBvevyMfWqTTJOfmRI5nRH3opwreoqFucY61p6lp0Fi0f2eUSQyA4wc4IrPKc1k9yhq8qDRjBoC44NLjFAySzbEzj2q6Tlaz4z5cyN+dX+AD600IP5Uw/e4p2Rmo3ADbqBjSaqXVstyrREAlgdpPY9j+lWj1qOXIUMOo6Uhk1vL51tFJ/eUE/Wnn24qtabYxNCG+6+9R/stz/ADJqwKtEsdn8qd1FMpwJpgPByKeDgVHmlzkUgK0+p/Y5LmfI22Vm8+D3b/Ir54vr+41O/nvbqQyTzuXdj3Ne36ivmX15ZE4GoWEkMZ/2x2/WvEfsU0Vw0EsbCZGKsh6gjg0xBavNHOskLskiHcrKeVI717nf6g9x4W+3YKPLaJIx9yMNXk+l6HPdTJbxRs08vAX+deyXOnwyaP8A2dtIjFsIPfgYpNDPKPiZcPN4jgQnMcdpHs/HmuOVGYgDvXomveHr3XbeOSKPdqdgnk3Fv/E6D7rr6isKy8NXkjiMW0plb+HZimJnRfDNJojf9djImfrn/wDXV3xGktx4J1+3QOz2+oRzuAP4CBz/AJ9K6Hwxo0ek6cE3bpX5kPbP/wBapbu0ltL1723gFxDNEYbu1/56p2x/tDn60uoHhMNs0rBVGWY/druPh9pUlx4psZBGfLtmM0kmOAFH+Nb8XgnRnYvY6g8KZ/1VxCS611umWFrpNu0FiHZWHzyyfef/AAHtVAYuvQm6kVO8nmD81Ncr4wsW8RaHp2tWatLNaR/ZL2NVyyMvc/5713E4zqNkBnPn4/Q1GmizWl411Y3PlysgRlCfJIPRl6H69am4zyfSNHkmuI4ooGuJ5DgRIMmvZNI0mPSNKislYSSY3Svn7zn/AA6fhT7RLhGO9LaMt18mPaavhcD3p3Cxy13Z2ixXuiaqfJ0y8bzbe46CCb0z2z61lWvw5mtpcPcwfZuomHJYfSu5ns4ryNo5U3Rn71LZeH/sluvkWJijz8oZgC30pXYWI7K1htrRLa2TZBGPl9/eqVzYyw3v2+zKiXZ5ckbjKSp6N/jWsY3iJR0KMOoNTQWrzMAuNzZwD/P6UAcra6NpvnCT+w1jkU/caTMY+g/+tXRhTjnn6dq57WPHfhfR782T3F5ezR/LK9oFCIfTrz/nmtyzvrLVLCK/0y5FxayHbnGGRv7rDsaAIrnT4L4IskYYhty+oPqD2pYYSpGZpJAO7Hd+tWrm7tdN0+e8un2xQJ5kp6j2H+fUV5DefFTXJr55LMw29tu+SExK3HuTz+WKAuesTj9wQKp6Vhba6ZyAv2g5Pp0rN8OeJE8R6O07qkd3H8s0adPZh7GrOmahFbTSQyLkebJO3/AFH9SPypiLt7eWmloJdRuoLJHOE877zfr/AI1YtL23u4RNbTxzxN0eNsivn/xBrVxr2s3F9OzEMx8tC2didhW/8OtSns/E0NsrHybv93Iv6g/nSsO57ckaiMneFJz8390Dv/KvMNY+J0Vtqssel6dBPAjYM0rHdJ6kVt+JdVmi0XxF5bkPFBHGMcY3HB/nXiyRs7AAUwZ9A+HtftvEOmLeW4KMPlliJ5jb/CqnizxP/YHh6TULQoby4lNvalv4FH3mHv1/SuS+GaSJ/aQUkoYhz/tVn+MEmufCuiTclIZbiGX/AGZN2f5fyoEc7Z+KNbtdRW9TUrppt2WLyFg31Fe1nXUvNBtL+AeX9r2JgH7rE4IFeGWthKSuOHc8cV69d6Vc6T4LtoNha4syJmQDnIbdinYDzv4i6rLqXi65jZj5Nr+4iTPAx1qt4OurnT/ElhNCWXfKsbAfxKxwRWn4v0Nz4gfUIlMljfAXEcq9DkcitjwV4Yaa+j1G5Rkt4Tujz/G47fhSswOgnm8jXoYyfka5hQ5/3jXlfiPzbnxTqbzA+a11JkfjXql3pz6jc3SRPsuFRZomPZ1fIrF1Hwymvak+o20kdtezc3VpPwY5O+PUU0Bj+ALCVfEtvIgO2JWMv0wRWl4wtXl8P38ag/6LfiZx/ssuM/Su08OaDDotjsT57iXmeX+9/sj0FJqekyNdm+tRGzyL5c8Un3Jk9D6HrzQB5BpmkNcFQiFpG7CvVLjTpdL8L2YhXfLYvHK2O+Dlv5mn6P4es7Kc3MNg9tJno8m8L7rXQuA8RTblcYoA8q1nwznW7m/hzLZ3b+dC6DIw3P8APNdp4S0QaVpkjTLi5uGGc9UQdB+Oau2elpa3LRWbzfMdxt4xuUfh0FawjMR2MrA99w5pgcbqOlwzRT6NqR8q0EhuLC7xkQueqt6CrPhnwtb6TdC/kuku5gP3IjGFU/3q6a5tn8h5GSMjrmQ8KPU1jaZ4i0i8u/sdrqdrPcZ/1cYYZ+meD+FK7ERx20V1q91BModJIGDA9/mpi6LIClvciO+t4+Immiy6L/dz3FXbDYPEExdvlWFyf++qwPHHi2HQZUs7eJLm9Ybm8z7kY+lAzr7aBLeJUQAADGAMYqre2NtLMlw8DGWMHY8eQ+O/IxxWB4L8V/25C8VwFSaL7208EeoqD4jeLGstKtrPTZDHLeEu7r1VR0AoEdVbbQowW3H+91qWeM+SX+UDrlug968X8I61fWutwp50kkUzhHVmz17123jjXJl8O3kMTFSzpAx/2SP/ANdMC5Y+KdLmvjaR6jHJMWwMqVDH2PSunTke1fO9rFIJFdMgggg17/pkrzafBLIMOyAnP0pAWzTH5p+OaaeWx3pgRP0qEg49qmfk9ajxk0AIPu1ka14pufC81tJai7UzBg8tv/CBjrxWueKy4vinFol5Ppe+3aGKTDCaDeM9/mFAx9h8ZZdoWfUwwP8ADd239RV//hYGhas2LzStAvs9xhW/Wm/8Jx4Q1ddt9oOjXJPUxFUY/mKY+ifDTVfmfRLy0J/it5cj+dIRO1j8PdUUfafC7Wpb/lpauT/Kqcvw3+Hl2xay8QXlhJ1Aft+YqN/hv4NuDnSvFl3Yv2Wbt/KgfC7xMin+yPGNneL1CSNz+uaYDj8JrjbnQvHCSnsjtj/2asy68C/ErTmzHHFqCjupRs/1qW58I/ErTsk6ZZ3yj+KLbk/yNVBrni/RTm88O6rbY6tC8mP60gK0tx420g5uvDFzGB/FEjr/ACzTrf4parYsEnOp2pHUebuH5EVo23xkvIG8uS6vYSOq3ESyVswfFiwvFxePpFyD1E9uUJ/SgZBY/GKTALawuf7tzb/1Faq/GIbRk6Q5/vbiM/rVY6r4I1n/AI+fDFhKx/jtJVH8uaj/AOEX+HD/ADHQNTUnsshwP1oEekDJpTVZZDjvTvNPegZMSo9aMioy2QKAQeeMUASgg96UYz61HvQD5mUUolTs35UATj025qVA3bkVVW4XdjEh/wCAGp1k5GInb3JApiLSR/MDn8qkELE7st19KrDfuyE2n/fqyZJpIxjYmOOpNAFlIsqc55FMMG6EhueeKjiS5U7jcx7e/FE42EbrkAHstAED26sSMlfrVSa12gZyPwqzJsJB89yfQ1WkZSCr+YR6ZpgU3iwapTxqO49etX5IcDcFBFVJB2KipGZrso/iFRsVx1yatyJ6AVAwJqQKzMPRvyqI5b+BqssmDSHA4IoAqlOD8n61EyE/wirpxx6VCdopAUnjY/3RVaSIjPT8q0yQcZqJ9vNMDIlgBHIqjNasegxW67J6c1XcZHSgDlbnT3bPXNZFzpLHPU/jXbSrn+His6W3c8heaLAcHc6SwPArNlieBsMld7dWMkhLbeay5NIaQkHd+VTJaFJnJiVeh4PvTxKQR81aV3o0wYlEIx61mS2s0HLrxWfL1KUgkmMihW2sPdarGJcnb8pp4Az0qVCq4yKFdA9SDy5D1XPutRurKSCMfWtaJbbarPNtDcYp0q2u5ow6SL61amxcphhirAg4I7itm21L7XCbeUqkxGA3Zv8A69UZ7LHMJ3D071RY7SA2QfQ1d0yWjRlt2gkDSdj271fYCWMHbwexrLivVfCz8kDh/wDGtnKMgIIK0CKyqVOUJQ+xrWt/FerWMX2Zyt1bMMPFKM5FZZ4z6VHIej9dtAzXt5Unk86FCI3+9vbLKfSo70zKUWNN4PDGq2m3sCzEFym7hg3cVrXQAAVJVy/3GHOaLiMu6tjIAysUZehpbTULqzIziQD2q1KfLjJfkAcmqYKzKHQ/L9KQHS2ninSbpRFqMCITxkitEaNo9+nmWNxg/wDTN815/NbwtMoYjPtTks5oX32s8kTDoUNIZ2dz4d1GF1ktnSYxncvY1HdmWBrdpofs0UmSd56P3H9R9fasyy8V61pwCzxJdxj14ath/Feja1YtaX4ktpG+6XX7reuaHJhYz5sP0GQ3Rqxr6zD4AG0bsnFdDcRwWUaRyOgCjCnOfxFZbIoRdswmIPJzVbi2My7+WMAjvWfeW7EF95z71r30eIW9V5qjendCmw4LUDM1b+4tQAXVvartr4hQHEyHFU30zIJHJ9arvprjP9aVhHZWmoaZdgBpUBrah8P2Wowhra62v6NzXlbWkqHIB/Cp7bUr+xcNFPIuO2aNQO8vfBt8gJRI5fZeDWDPo91ZPlreeBh/EuR/KrVh8StTttq3MMdwgGPm610ll8QtFvsC7he3Y9eNwqbvqivQ5q01vWLEjyb9nGPuzDdWvbeOL+Eqbuxjlx1aFtp/I10P2Xw7ranyZrZiehGENZ914GQrvtblh7EZFCcQ1LVh4ysL+eG3LTQyu3yRyjv9a6E5OCOledy+GdTspUlEIlEbBgUPPFehwTLdQJNtKb1yVP8AD7UmCDpg0oOaUrx7UDgUDGsMqTjgVfQ7kVsckVUqa2OUK5+6f0poRJ2PrUZ5zUr1E3BNDAaeopGBwfSnEUoHyUAVYlVLiGYtycwt9Dyv68VaJw3tVWSLeXTPLj5fZuo/WrKSieJJwu0SDdj0poCQHilBpgOKcKoQ7NOFMNL1AoAo6ppwv4AoYpIjB45F6qw6Vj3OjWd9KZdR04/a2GGubV9ok98V1CL5jYUZpbtYLG2Nze3lvZ2wGfMlOD/n26+1MDM0rTLTTYWSzgMe/wC+8nzMfxrS2jp2rM0/xBompTeRp+rw3E3/ADzYbC30z1rUx9evQCkBRu9Lt7qRJHQrKn3JY22uPbI7UkdvEHJ80sfds1cvNW0zRdJn1W/cPbQHCxjrLJ6e/wDk15jdfGXXHuM2lpZQWoPyQ+Xu49zTsI9N2bQu0ZFLhUVmY8Vk+GfFVr4t017iOEW15BgXEIbj2ZfatFdQhtZLu6mI8mwgaaQHucHH+fekMkNr9nh+0XX2exgJ+/cybanNvus1uIZYbiBv+WsD71/MV87674gvvEGpy3l9Kzl2JWPcdqD0Arf+HHiKTRPE1tG8z/YLp/JuIi3y88BseooA9PuBt1Ky/wCvgf1q5c39jZWd1e38hjs7fhnzzIf7q/jxVDXWNlfRn/nlccfhmuJ+I97NH4f0CzBwlxGbmQDu3b+ZoEWJfi8VutlroVuLHP3JHPmEf7w4rutK1i017TYtQsMiKQ4eNvvRN/dNfOyKxIx1r1b4YCWLT9VRgRGTGw9N3zUMZ2+qeIYdA8P32qBUkNviKBT/ABSn/P5ZrwLUNe1TVb97y8vp5JmbOS5+X2HoK9C8WCaf4ezqoYm31T97x0BBx/MV5nb27TOFANMR7D8PPElzrOlXFhfuZbixQSRyvyzR9CCe+D/OtPxH4insvBuuXlsQsiulnGf7oPX/ANCNc58MbN4U1O4dCEEQhVsdSe36Vfv9Ok1PSvEOgp/x9Ssl9ag/x7fvKPy/WgDxnln9q9M+FNxcR3WoWTEiCa384r6MpGD+tcVa6W5ciVGRhxhhg/iK9Y8D+HX0jTZ724XE12oSJWGCI+pPtk/yoAyPGF9c3Hg7UlUni/VH/wB3t/SvLoLV5GwBmvZtVsYknvra83Lp+pIEeRR/qZB0c+3vWRZ+BJIWUfaITCTky7shvwFAWZB8O9Nmt0vrkhhEyCP6tnP8hWuVUasDI+2KZ5rUt7yINv6iuktrKGw01ba3BEUY79WPdjWdDp8OpW2oW8w4aVeR1U7eo96APFpNJuba+ltZomWSFyrgjuK7rwHoLvqaX8iFIrflTj7z9gP51140kXLImpWcNzJGMC5GVZx/tD1rcgiSJEREVI1GFRRgCi4WOY1yzRL66S54sdSg+zyy44iYfcY+2a4uDwNqkE/km0eQ5/1qkbCPXdXrctv9oyjqGVuoIzVeGyjibZBHMUHaNTsFK7GUfDWhQ6LYtAjB5GO6VwMAn0HsKq3ujJG91BJaG7028kEssSnDxS/30/wrpFIDbduOKVgwwQoOf7x4HvTAwNF8M6ZYXJuYVlllB/di5TAT3x610DRhl2n5vr3rnR418OrqQsf7WEkpbbu8oiLP+/0rot6Iu9ztQDOe2KAMYaZDYblSYJbM2/yZcMgP+yD0rStdhjyrK3pt6VzXjTxjB4aWJIIY59TnTeBJysK/SsTwn8Q59S1FLHVkiDTMBFNEu35j2I9PegR1mnr/AMVDIB1aA/8AoVaF01vbRvdTG3ht1+9PcPtXPoPWsN737FrEjgYdovLX2LOB/WuA+JWtyal4jfT4yVtdPHkogPBbuT/L8KAPYLK9tb6286zuYbiEcb4W3KKvARCKRpXEaKheSQnARPWvDfh5qNxY+IoIUZvIuv3ci9jxwa7zxnqkieDtaROGeaG2OD/CeaYFI/FPRItSMMOl3L2m4qbkzfO3+0F/pXbpd24hSdHEkUihonHRs9P5ivnKG2aRuK9d0mSW18C6Q8jHEdwuT/s+bQBQ+JPjO8stUfQdHuZLeOAD7VLGdryyHn73p/jU/wAOvFN7qYn0vUJnuHjjM0Espy4x95c964zxpZzHx3q6sD89wXBPcEZH866L4baZPHqtzesuIoLdo8+rPwB/OgRq/ETxFM/hOKGA7ftk7I7DqVFeX6Z51vfQ3ETFGjcMrDtXoGu6bJquiy2EQP2nTrlpfLxy0bZ5H51neHfDr3l/EHjdYI+ZX2449PrQB1l1dPDfCYHazxIW9tzLXmPiZZ7nxdqPmA7vOIGf7vavUryz+36hPa7tnmQOAf7vIxWJqGkjUrpHnie1v1XbLlNySY/iDCgDM8BafKmozSqrBBEVPpzVXxNZS31ppsu3/UiSCb/ZbfkZ/CvRdB0tNOs1iQHGdzM3VzVa90JUvJ7qNlMU4/fQSLlWP94ehoA4Xwxo3mavbsIzthbzGb6dP1rovEuniaS5tZjsS62PA/bzF/h/EV0un2sMKDykjVR2QVcntormIpMiyI38LcimtgPO9G8MvLdILmAxxKRnj73tXpSJtVV/Sore1jg+4OKnA5oATvmmEEuT0zUnY1E7cGgCMnOTSL1FKfu4xzSYx24oAjvbmOys5LmZgkca7mY9MVBF498M6tGEv9G0K83DnaBG/wCoqafXNP0K4ga/itLhZVKeTdNhWpk8Hw815C1z4fW3dv47CRSP0pARPovw31Ub5NBvbPP8VrLuH6VVl+G/gyc50vxTe6dJ2FwD/wDWprfDjwXcNnTfE+o6c/ZZo+P6Uf8ACsvEcB3aN4xsb9f4Uml6/gc0BcVfhf4jQbtG8ZWN6vZJH5/XNU5/C/xM0tizaTDdqP4oMZP5EVLc+HPiLpylpfD9neKP+WltJ836GqUfjDX9Ik23una5Yleu0sw/UUwHL4p8W6Kf9O0TV7fb3jZ8D8xWhZ/Gm5jbZNdzx/7Nzbh/1FWLL4zPGvly3xOO15bHn8RWxH4/0HWFVL/R9EvA3dHXd/48KAK8XxO0XUBi/tdFvM/89I9h/wDHhSyf8K/1pd03hWJd3V7SRf8A2WmXmjfDjV13S6Nd2LHq1qOB+VZbfC3wZdNnTfFlzaOfurOg4/lSCxbl8AfDe8/1N9qOnOf75JA/MVW/4VVoh5i8d7Y/4QV5x+dRN8JvE1ud2i+LLS7TspnK/wCNRnwN8UYzsEFlIB/H5yc/pTA9Y2YOd5p3l7s/MfzpmOBzTgCOhNIYeQncA/WpkCgYCjFRjOaeoIPtQIkHHpTs+tN4zS5X0pgOGPapEqNQvpzUysi4+XmgCVHkB44FWED95MbvWoI3GeFqyrjHPQUwFMG05WXHrxxUNzaxXCjfjcv4VO0uVPT86jI3AelICq8KqAhPP1qCSMgFXJYitI2wbAwGHv1H0qB7GVFOW3jt6igDMBVQeTUMu0g8c1cmhH+726VRkTB5NAIpyKwLEHg9qgYetWHAHeoGwM4qRkRXNIVp+cU080gIXUVAYcmrRHtTSD6UAVzFj0qNlB7ipmTPrTDFgc5FAEDRrUbovqKsMnAyajMSe5oApuiVAyrjhc1pGJOy1C8Y7CgDJkRm/hqk9vKGJXB+tbciY7VXdPyoA5i706SX5jnPtWRPpLHPyn8a7p49y5xms+e33ZwBUlHAXGknPC4+lZ01rPCeBvFd9cWZbt+lZVxpz84XB9qLCOO3ZbByp96sIAF4UfWtK501+coT+FZ72U8ZJXcPalYq49ZSO/NOdI5x+8VG/DmqpaRD864p8Zzkg0rDuRvpSEZhmKs38Lc0yNL+wPKb0zzjkVcDAHrzUiSZp8zQrIbDOk6nBww6qetMmOW29qn2JI2dqk+veh7Y/eQ/N3BpqYnEz2O7PtU9ldPBL8xZ4gc7c9D6ioJBiTBBH1p6jC+2ask3YwPspdZDOpGf/rVUEpZAFi2tjlegFVLe4e2Y7eVP3l7GtBJlkj3Icg9B3FAGe9qVnL4wnoPWnwX1xby4aMOlTSlwrbAuR0zULnavPTvSsB0mlarot1hL5CueM9MVuSeENM1BA9ldjBHGfmFeeoFfB6Zp9vcXtnMz2l3JEc/wn+lJ3GdxL4ZuotPa3uYkkWBf3MsZ52/3a525t5bIAW8J2EDeRyTV3T/HWp2vyXkK3KdCw4anz6ja6kzzWOY0x+8idfmU+3tSTAy7tS8LS7Tll6ViyyMZlZx04rTiMk6yzPvTsE7U1LWKdAzLyODVCG2wDgbTxV77M7LzHuHtWbJHJb8w/gDV6x157Zk86H645qb2GRSWEWehU+9RvoRmQlVVq7C11fQdVASUxpIezirUvhy3kHmWc3Hba2RQpoLHmk2gsmflIrOl0uVCcDNelTaXfw9hIvoazpYIicXFsyEegqr3Cx5+Ent2ypdD7VqWXinWdPI8q8kKjsTXQyaVBOP3LqT6NWdc+H25zH+IpNAall8TbhQFvbWOUdyBg12OgeIrLX1l+zDY8YBaMnOK8om0aRCcA1o+FLiTRPEME0gIgf8Adykeh7/galxQ0z2AgAYz1poXI29RTiwINN+6BUoYoPPvUkJAl/3uKZ6+tJyOe4qkxF1gCKjAzmnbtyBh0NNAwxHrTYDHH40I2QQe1SMMiohwxpbARzDjPcc0kD4aRCeCfNQezdf/AB7+dSyLletVSwiYSnJ8puf9w9f1waLgXA2KcOe9NZdrEUDpVoQ88mgcUgNGeaAHRXEf263tGPEhLv7qvOPzxXh/jXxRdeJdfuJXnZ7WORhAhPAH976nrXrrt5fiSxZzhJo5YM+5GR/KvCdQ06fT9Sns5xiWGQo3vg0xECOyuGBOQcg5r2/Qtcn1DwvHeT/8fCwHee7Fcjd+OK8ctrJ5JEUDLscAV7XoekHTdBgs32s4i/eY9Sc4/WgDhviRfySaP4fswT5JhacjPVun+frXniIWIx1r0nXdDn1fT1sE51HTWIEZPEkJPBH6frXP2Hhm9Mmz7JcGfsgiPFAG58LoJINflZj+7e2cMPxGP1xXUavFNcaT4qskOJmtkmRe7Iv3v5Vf8OaC2i2zJOE+0yAeZjnaOy5/n+FW7yzliv4tSswjXESmNo3OFljP3kP8x70gPnuOJncDHJrp/COif2lr9jaoGJaZSTjgAckn8M128ngXRbq9e4sLySy3HLW08R/deynuK6rS9K07QYPKsR5k0i7Xn2bTj0FMCrr4W4vVI+61wPyrkdc0ifxD4aitUiJ1XRXaPyc8zQnoy+vQV12pDDxH0nX+Yqa70yK4nS5jZorlMhJozhgPT6e1IDyTRvDs09zGhtZHkY48vYRz/SvWtG0WPRdMW0UgzOd0xHTOOg+lW4Jp4/kmvUkboTtVSfrirGOOuaY7HP3dqlrPdm4ge60y+j8q9hXlxjpIo7kVj2fgTTXZZLPV43tTyfk/eAe49a7hYfN7fL3759gO5pkkC2h3TzWdqD08+YIW/M0gIbS0trCzjsrNCkKEn5vvO3cmobvT/OkSaOR4biI5imjOGX/63bFXyuwKSVKt91lOQfxq1awK5yzqpOcZ9B1P+fWgDKiimlkWa8stPNyOPOWHk+/NXGZmO6RtzVxGv/E/TdO1F7fS9Li1Dyzte4uW+Un/AGcdvet3w34psvFFi80EP2a6hx5tvuyMHup7imI1nRHUlxwByTRaaMqjfBZBE/vHC5/CkOo2tlDeXlym6Cwh8+QD+I9h/n1rwbxB4p1XxJqDXN7cyFQSYoQ2EiHoo/rQB73cq0SMjqVbHQ1maW4ibUCx4Ei/y7Vzfw68T3esWNzo9+7TywRGaCZ2y20dUPtWtbXAXU/IwPnuwen91GNADPEfirT/AA45ivA9zeuuVtYnwsY9zR4a8a2HiGb7NHE9tchdwid9wYexrxvWL2TVNZu7uX70srN9BnAH5YrV8IxXCeJ9NljP/LZf/wBVDC57stxAsjrM2FVd7n0Qda8X8RfEDWNX1WR7W8mtLNWxDFCxXAHQnHU16Hq3nTvrlpECZZNLcxAdzzXittavKwwhIoGeseBPFd1rEM1nqMpmuYV3xynqy9CD+lS+O9fli8HTfZnKSXNx9myp/gAOf5fqay/h3pUqXl1elSIki8oe7N/9YVLr2lTanot9pkSbru0uvtUSd2jYc4oEeWxK+7oa9d0e+n/4V4rzuXMbGPLf3Nw/xriNO8O3F1OsEMbPM3HTpXrMWhWsHh/+yY3LQ+XsLnjce7fn/KgFueR/EBpJvGV1vycKgT6bR/8AXqt4e0yefV7ONEbeZB0+o5ru9T0GLVriFroi31SGMQt5gPlzqOjhvWtzw54ag0gm4DGS6Zdu4fdRfagDO1/zPtUs6KcQqJj7hXBP6VxXizR3XxVe3Dc210/nwyDo6tzxXpwiR9cMbKCrQuCPWmxaQLWNbZ1iuLJT+5iuEz5Psp9PrQByfgbQDJqH9pFSkFsf3Wf+Wknt7DrXR6zp6TzX+n3Unk2uponlTn7sU6/d3egNdFbRKkaqgVUUYVV6LUk0KSxMrpvXGCNuaoR5ppfgHVVuRDeQRwW6n5pg4P4j1r0K4062k0s2AQLbiLy1A7AVNbae1uUQxxwhv9XG8oDH6LU/kmSUJjGOue1IDlZ9Ih1No4tYgmNzCojW9t2G6VB03g963tOs7awsxa2kPlQg7sE5Zj6tWV4p8QWHh2GKW6eVppRmK3iO1iPVj2/z71H4c8V2Wvo/ko8NxGMtFI2ePUHvQBe1HTYLm4S8LyW88XCTRnB+nvU1pFlQzySOfV12/wBKr634gttI0O71QxK8tvhIUf8AikNeVad498QJq6XU9/LcRFsvbuf3ZXPTHagZ6lEhPiFEUEkq/ApNb1K30a3NzeSxwxg4GRkt9BUFxfCy1aK7VjtaJnU+zAf415r8Q9Wn1XxPJEzHy7cBFGe+Of8AD8KAPUtE12z1q3aW0mWRV4bAIwfoao+JdattM0mW9m/e5fyoYezN3zXn/gOW4s9c2ZYLLE28fTn/AD9aXxlNNdafpoYkqstwGHX5t9MRpeHPHU8+rpBcwQxxSnapi+XafevTCdwGPrXiOg6RLcanaIg+dpBn/ZGa9tjGUXPpmhASqcKKM80h4GBQD2oAUng1CeuO1Snoaj/hye9ADD1pQDuGKUDJpyzQwSrJcBvJDDfsHzY9qAMefVPCOoTtZatpun38sTMnmPcGORfUelV5PA/gC/Pm2z6rprnoYXWVB+XNdRc6D8LdcLeZZi0lc5LbXjOfXuKpH4L6BNl9D8UXFux6KsqsB+WKAMI/D+dRjRPHoPpFeqU/nTW8HfEO1TfFHpeqoOhhkUt+mK0rn4W+PbAk6frtveJ2WfjP5isuew+IeiZa48PR3AH8dq3P/jpoAgHibxnoDbb3QdVtQvG6BnI/XitC0+M00X7u6urj3S7tQ36iq0HxQ1rTGWO/t9Ys8cEOu9f/AB6tBPiToGrDbqEGl3eev2y02N/30KALSePPDWucX+laHd56n/Vv+tNl0L4b6qmX0W6s2P8AFaS7x/Oom0/4f62nz6DbIW/jsLsf+gmqT/Dfwkx36fr2raa/bzIt6/mtAE8fw08MSsTpHjC8sm/uTrt/wpsvw28YoB/ZPimw1GMdFkkH9c1A3w+8VRjOkeL7C+Tsk0u1j+DVXm0b4i6SC8+gwXqj/lpbHd/6Cf6UAOn0H4iaSC0/h+G5Ver2x5/8dNU/+En8VQ/u28O6wpXghXkx/wCg1JF8Q/EGkOEvrDWLLaeQGYr+TCtNfjVIFAOo3QPo1suaAPUSeaUNg9ai3c04E0hkm6nh8/WoASacOTQBN160q4HbmogMU4DNMROD0qYbiBx+tQKNtSocdaALMZwRUpJ6hWIqurccVZjcBcEnFMCVI8kNjJJ7VOIcjJGT65qBHXdhQQTSliOSeDx0oAezIh9fpVR5WfG5i49uMU97kKu3nH0qq8qNnGRmgTIp2BAHJx271SlIPHUVPI4BxxVSX2pjIJV3ZqoYz9ferLEgnNRlwBWbGQEf/qpNuKnMhZewH+7UWfX86QDOfXimkZNSYz3ppSgCEqQenFRupYVbwOaYcDtSApGIk9aaYvzq4QD0qNx7UwKbKwFQuNvf8auspHQVE8ZYc0AU2iNRGPHvV7BUEYzTPLyeBzQBTCIAdwYGonhC/wAS1fEWGzxUU6FgNmFPfis2tSjJki5OefpVOWHGMAkVsmJsHLVA8A55qkhHPXMDSEkR81kXNrISSMV2JRBkZqjPbxnJUZ/CgDhp7NznPWs6S0kUkgHIruprNDnisyeyUHgGnYDky0qn5lzSiQEjbgH0rXntVydwrOltADkHNIY0SMG96l852J7H1qrhkb/GnhgB90r71LiO5OTn5HwQaa6rn5SMe9NBOBjBpwh7sQoo1Q9GQetOjlaJtyn8KnZlA2ov41EYlPXI+lUp9xcpZWdJV9CPWo3cHoelRi1Y/wCrcE9fSgQzRZzCefSnzIlpgHw2e1BLbt6nnvTSTwCMNSA7MbupqhFq3u4g+2ZSB611ul6NYXe24s79FlxgxnuPSuGbke1EU0sMgeF2Q9QQaljOr1ewl0ubyJF+ST7jDvWeoMVmzqu6THANRL4pu5LU2t8ouIT6/e/A1at3hktzIrbk+nIpoCpE5mi/egK+eB61GYfmx+tWVWK5dLle2VAPeiVc5FAjIls45rkhD869xV60vdW0wg205Kj+FhWdLK9tds1alpfwThd/BPrSsh3Ni38dXKbV1CzLAfxLW3B4g0fVU2+Yob0brWVZaNFqZ2wyoG9Caiv/AAPdxHcIlf8A658Go5UM3JNGtLld0L4PXg1Ql0e9t/8AUuGHoa5zy9U0t8R3EsZH8Mo4rQtvFWo2w23MHmr6pT94NCd90Rxc25+oqBrayuTw+z61qW/iXTbz5JMRt6NxVp7LT7td6bM+xxRzdwsbuk3An06Esys6rsYg56VcK1haLYnTZ3VZGaGUZx6Gt4A5HGazejKQg6Uh607bjilC8UXHYdEflK+hzUg5x61Eo2sG7dKmXrVwdyWrAeDUZHNSEUw81dkSNGMEGq8oCvk8owww9j1qc/epsqkqfQ1LQxtrIsluAHEjRny2PqR3/LFTdKqQtKJlyIxFtEbc/Nu52/hjj8qtAYog+gMcDig8n+lNJ7U4GrCxS1Gy+2QbQxR1cPG4/hcHIP51j6p4fsvEEouL5WstTVdjSxpujkx6en44NdNSbVPUCgVjn9H8LWWmzedk3NwPuyMMKv0HrXSBQq4oQADikPLUMLFK70q3vJY5juWaM/JIhww/+tT0E8Z8uW+chegOFNWLm6hs7aea4k8qCFcyyf0rzPUPinILpl0vTLZbYHGZwWZh68HigLnp8YxjJyfWpdu447Vy/hHxZb+JI5U8v7PeRjc0IOQR/eX2/wAa6aC7hF4kMm3ywhnlY9lX+nf8KAuONmyQNPIYbe3XnzZ5Ni0sUazwefbz29zGDjzIH3gV4N4u8YXvirVZZZJJEslc/Z7bdxGvbI7t6mm+E9eu/D+uW93bu/lhgJogflkToQRQB7Bq4Cx5z/y0U/rWtPNaWVncT3U4SKBN0z7vuj+7/n6d6zPEKqjMU+4zoy/QkGuK8bX8x8DWygn/AE29dpD6gZOP5flQIiu/izMlyY9N0m2S0HCifLO35HArtfDPiO08S6e09vEYJYiFlhLZ2nsQfQ814IkZZh6mvQPhis8WsXfXyjbncPfcMf1pgenXOswaVYahfyrvi0+HfgHlpD2/UD8a+f8AWNZvNe1WXUb2TfPIfThR2UD0r1PxCZLrwz4os48+Ynk3GO5TjP8A6Cfyryi2s5JThUJA6mgD0X4Y65MzS6LM5MOwzW4/usPvD6Y/lXS65rcltoevyx8Pb2yxJ7b+M/8Aj36VzHw60mSPU5711Ijhi2qcdWbt+Wa6S/tEbULqyucJa6rb/Z/MPRZR938/6UAeHKhY57HtXd/DFZYvFAKg7XhdW/LP+FUx4Qv7G7MN1bSeYG2rtQkH3Fd/4R8Of2Qr3M3E8i7VX+6vvQBBrnmTeHfFttGCZVhhlx/sZ5/lXkEFo7twpNe8XUE1tqCajbIJSEMU8BxieM/w/WsiPwVo0kwltrm4tom5Ns8XzL7A/wD66AMv4caNNbS3mquuIFhaBTn7zNWldNJb3D3yLv8AslzHI4H9wqQ36GunjihtrNLS2j8u3jXCr3+p96z7BFa7vlYcEIf50AeYa54UuLXWrie2gkm0+ZzLbyxLvDKeetdj4M8LfY/K1W7UpJg+TEev1Nby2kOmyBIJ3t/MbKxZyvvtX/CtKAoxLZZm77qAsUNRtZ4r621C0XdNb/wZx5inque1YJ8I6XcXAmtppLVHOWt5YvnQnqM128cfnMV6ADLH0FY+r6tpuiSqL7Ube2LfdjILv+lA2XbKzgsrcQ20eyIEkA9ST1J96hu9MW5uIrmN3iuYvuSJ1HqPce1PsNRtdRtxPZ3MdxEeN8Z7+/pWjJdWNhpVzd3km2GGPzJj3x2Uf57igRm267GIlkiaQn5tgAzV8YIrya5+LWqNqJaysrOKxDfLA8W5ivu3r9K9H0rxDaaposeswoUhIbfE3VWXqP8APrRYDQktCQW2AYGWZztUfWobWeC4V2tri3nEZ+cwSB8fWvP/AIq+Jp5DaaHBI6RNEJ7ja33y3b+Z/L0rhvDt/daVqkF1bSMhVxvUdHXup9qAue0KVTX0ZiAvluT7CszxZ4ksfD1vDPPB9pvZ13W9sx2qif3mpPEU5tZnkQ8eURn2LKP5GvO/H0s0/jO9STJWIJGg9BsH+NAHbeFPHsetXi6fd2qWtw+fKMJ+RvbHY11t1rEWm2d7dyJvSxgM7LnG49AP8+teLeGLK4/4SDTzGp3CdTn05/8A116PrUMt1b+I7BEZpZrOOaNB1YK2SB+VMR5RqGr3+sas+p3kzSXTsCGz930A9AK9i0vxBPe+Dbe/nP8ApAPkSn+9hgAfyxXlmn6Wm5HmUkEjgda9WttBktvCP2AfLMyedt/useQP5CnYDzHx/ezah4xu/NORDtiQegxn+ZNWvh+ssXiaEYOGjkB+m3/9Va2reHW1y+Oq2ce+ZkAubfdh45F46e+K6Xwr4eGlwy3Fyim8m4AX/lknXH1Jx+VIZgeMxLd+EJFj+b7LqRMwHYEMB+pFcbpWkyXNzBFFGZJ5XCpGvUn0r1m601re8uJ47Zbi1vEC3VsTjdjoy+hp+h6BpumXP2q0tpxKRhWuGB2fT3pgU9Ys5HeKziwZEtjGvuyoP8K4nXtFe71EanaAzRXABcKMmN+6mvR5xnxFbDHBL/8AoNLdaNF9qMsMMgnb7wiHX69vzoEc54S0L7NL9pmjKykfdP8ACPf60alojreTxPC8lpcSedHJEuWhkxzkehrr4IlhiCeU8bdw45qYKpHNIDmPD+hJYztNkuxXbnGMA9cV0rMsKF3YKoHJPQU8AZ4GK43xsL28ltrO2jkMI/ePs/iOcAVQHWpIsih0YMp6EGpCMZNY3ha1mttHCTRsmJCBke1bBO0HNADWbdwKRvmpEHBb1oByfekA5RkHimS6bomsxS2Os38lrGdrIUzyfqOlTEjHbArHutA8N69cfaofFGoadesoVlYBowQOwFAFtfh1lcaD4xEn92KZlk/nzVS48GeOdPy5tbK+QfxRbomP5VCPA3idTu0nxHo+qKOit+7c0eb8QvD53XGg6kVTkyWU/mL+VADoPFPizQiEm0zVrdV/uFZlrTtPjFLG4W9ubcN/duoGiP51Rh+Lt1bkR6luiI4K31pj9a04PHvhrWF2Xml2Fxnr5LgH8jQBu23xI0vVYtlzpyXCnvDKsg/I1UvNH+G2ut/pVkttK38RVo/1FZU+gfDvVuTazafIf41Xb+q1D/wriyPOheMZFb+GOWbcPyegCaf4L+ENRBfStZkib+HbMHx+fNUW+EHi/SQTo3iJZE7JKpGf50s/gfx5ZfNDLY38fY+XsY/ipqoNa8Y6C2250fUY9vVrafePyNAFe50r4k6cxE+j29+o6mIAn9CDVaLxrrOiP/pmg6nZMvUxlto/Aiuhtvi9d2uEvZnix2vbUr/48K3rH4padqGFlt7K5B4Pkyj+RoA5u0+MsM8YjuL4e6XlsGH6VZ/4TXwtL+8ks/D7u3JbaRn8K6Se48DawP8AiYaOkZbq7wA/qKzG8BfC6djLviXdzgSyDH4UAdN0780u7FRg5FPBA70gFBYg84pQxpN9KCaAHhiMVMrH8KhDZqVTjHFMCZcHFTqBxxzUMa5FWEQHtn60ASICegAqZEyeT0p0aj0AqwsKFSD+lMCPZgn58H0oEPIbcvtT2jRMEvj2pU2EcHn0oAgliADM2OB1HeqSRbIl+T5jzV6dAcRF8FuTn0qvMme/XvTEZ8y4NUWXYeKuSowY9cVVfPtSewyvJz0NRFCeTUzjmo23EYqRojK47ineX0G4U0RF/wCLmlMZXBz0pADKFHLU04Hv70oIHXpSFlGcUgGde3HpRkdxSGVQaXePwoACcdMUxjx059qHPORTd2c5FACEZ61GQMHj86lLDPJpm9c9qQEXlk84pjDHYVMWzTWx2xmgCu4OetMkGegUGpm5+tRE49KBlV4sH1qNkXHSrpXrUbL69aaEZrwdT2qvJagrx8rfpWoUOf6VC8ZJPSkMxpLbcvJ59cVRms+pxk1vyQMx7fnUMkOMZpiOWmsWYZwOaoS6b6nB+ldfLAuORVSW23Z20AcfNpuByeaoTWQTJDjNdXc2hwc1nSaaD1NKwzmirqx/nTxIWHPNa0tltBqlJaFegqSiFGQj5WH0PWn7/XioHjZc/LSKXOeePeiwXLfngDgZpVnkYZA49aqo5XBZRn9KeWyOufYVNh3JpNkow53N2K9aqywkFA/zY71MhY4AXip/lXHmHA9B1oUmgsmUHJyAelJ1XPar729vOOjRn165qKawmjXco8xf9n/CrUkyXFlJhkVJaXMtnMHTlT95T0YU0AleeDSEcf0qidjoBewGGOUY2scYxyDSyAYb2rBhnaCUMOV/iU962ortbhAYmG7+JW7UAVplRnXdsJI/GqzxAuD0qZrQ/ajMTuU5x60yRsS7CpGBwe1ACwSTwOHhmZSOhrc0/wAf6jZSeTcoZ4171hxNg1XM8aXjB+jVLVxnp1n4o0XWU2TIiseqvinXHhfSL4b7Z/LY/wBxv6V5x5EUx4xVuB9SsDutrmQAfwtyKXKM2tS8FXUQLJsuF/3cNXPG1u7CQhXnt2HZs4robTxpf2wC3kG9f7y81u2/iTSNVXZOqZPZhRdiscbb+INUtCN+JV9V4Nek6TqCappsF5FkCRPmB6qe4/OsSfw1pV8N1tJ5THptNXfD2m3OkNNaySCS3c7oz3B71nUta6LibZGRQqkinmPDUbcGufnNbEZyKkU8r60pGaROGK44anCpaRMloOI5ppp5FIUxmu1GJGVpCKkpvf3oAqyqA+Dwr8E+nv8AgaljkMkW5k2ODtce4/zmiaPcpqvFKUmUMSQ+I2+v8J/Hp+VTazGWs04d6Z0ODSjrVgOJpR1z3ozlaAcUCHZwKaWwM+lLjNNYYU460AeaeO9QlPhiyRXIF3cSNLjvtPA/X9K87RCQDXqeuaFLqul3Glod15ZTNc26f89Y37D6f0964+20KWNh5sL+ZnHl7TmmJmp8NY3XxbAV4GyQN9Nh/rivQLjzJNSvrWPl7nSZ44h6tg/41T8GeHX0eOS+uEVbiVfLjTdyq98j1/w961tQtZmaC5s3Ed5bNviZhwfVT7EcUgsfPyRMWHBJ9B1ro9B0WfUNStrWH5XlcLu9PU/lXoF54Q0bVL17yF5dMupDumglj3pnuVYcVv6Hoen6FG5tGM1y42tMy4Cj0FMLB4hIMMgT7se1V/DFc1qGgtqOnXnh95FE6TG+sGbo6nO5PqM/qK6TWx/oM57Yq5PYQ3qR+ZHuK4ZT0Kt6g9qQHklj4TvDc+S9tKJT94smAtelaJoMOjW8kcJG6Rs5x0HpWkqmHCS3TOV/vNkj61ZUoVG0ginuMw72yuLXUEvrVUdsGOWJvuzRnqpPb2rKi8LaNJulhN1aR5yYCnK+wNdkV38Fcj2GfyFZ2rX+m6OqDUr+3sy5+RD8zH8qQiWyjSG1jt7SERwr9339zU1xbRXMJjmRXVuoYcVXsr2C+t0uLG5iuYWON8Z/n6VpW5BZMkKzZxn+EDqf896YzPW3azQR/anCjosrbiPz5qdDkHn8fWvPPFXxPuINSmstCSFIo22tcsPMLnvj29z1rR8F+N5demOn6gka3e3eksa4D+oI9aAudwkTSA4Bwo5qtfyafo6pLq+q21iJPuRty7VJHq0Ni13NKpMVjbNdSY7+n+fevnnV9XvNd1Se/vZWlmlbPJyFHZR6AUCPoYrDLai7s7qK7tpOBNCcrWHBc/Zby9kIJLKgUf3mJwP1ri/hVqMy6vJprOxtrqNwVzxuA3A49eK6e8fytRtxnCvdQKxz7mgDI8Y+M5tAujpmmmNr4ANdXLKDyR0Udv6Vm+FfHuo3GrwWepyLPFOwjD7QrIx6dO1cl4kaa48U6m8gbe11JlT2+Y1Jo2mzS6naRoG3tKoH50Ae6NqQtLkRlsBYmmb6LXz/AKnqdxrGpz31y7PJKxPJ+6Ow+gFe1aiijXLdJTiG7iktS3oSOP615INAuba6khuE2NG5Uqe5oA3fhtdTwa80AZvJmibevbI5B/z610PjS7ebwNqmM5/tSOF/ptJ/otS+CPD72skmoTIyFl2RAjqO7fyH51panpts39oWF9uXTtR2sZl/5YTL91voaYHikEBcnrivWPCVnMPh9eqM7pZXMf4KBUGnfDqaOdRc3Nr9jB/1sT7iw9hXfw20EFulvbxCOCNdqIO1AHknjfT5LvVbDUI1zDdWcfz9gyjBH8qj0DQTe6hDEg4Vgzn0XvXo0uj+WskKxRT2jtv+zy5+Ru5Q9qv2NjBaR7IbeOFfROSfxoAy9Ss1vb42xyBLFImfTiud1Hw43iKWO4WSGDWLdBBdRSnb5pHSRPYiuulP/E9tz/vfyqxdQq0pKQpI8fLM7bVj+rUAY3hfwumis89w6S3jDaCv3Yx3x6k1sahYPPLBdW0vk3cB/dybcj6MO4qS0uYp1Ply28m3qYZQ4FXlAcdcHnn09TQBj2uk2a3Qu2023juc5Lpnbn1CmtYnIPc15rqvxKs7PV3i0/TxdRo21riWUhm9dtdtp2uW2oaMmpQ58sruw3UH0P40AOubGJboPHalpT95wdu36mrFtgRcJtPpuz+teefErxRdI1vo1rM0amLzbh1OCxbt/X8qx/h9rNzZ6zHZtI7W1xkFCeA2ODQB7P8AZPMiDmeOJApeR2PEaDv/AD/KuHtviL4f/tf7GlrdiBn8v7Y82R1+9t9KXxdrMq+DNaSM4aS4jtcjqF5J/lj8a8ltrcvKp4A96Yj3a6dLbxJavL86KWY4P3hsrnfih4puNPhtdJ0+QwvcR+fcSocMQT0z7/yxVnU2mbTNMZtxuBYDd65Ef/1q5T4i2j3Gu2V6pzBc2cRR/oMEUAM+H2uXq6t9glmeSCYZw7btpHpmvVx0ry7wVockmqC6HEUPf1Y9vyzXqS9c0gFAxx3qa0mS2uBLJEJB79qipdtUBd1G+S9aJIYvKgjX5U9SeprLm+baoqcng1W3ZYtRYBT7dKBwKaOppXOBgdaQFLWdVj0q0WVwSWbaqisYeI9Muh+/t4wfUqAf0rmfGGtre60beN8w2v7sEd2/iP8ASsAXHoawnJ3NIpHpsMmlyENDcyRH/Zl/xrVs9Q1O1bNjrb+yOeK8fW7Kn0NWo9WmjI2SuP8AgVJTkPlR7NL4p1gKI9R02z1CLod8Kvms24PgjVf+Qn4Ujt3/AOeluTEa85h8TXsR/wBcx+taUXjO7C7ZTG6e4qvaicDrY/A3hK8OdH8S6npb9kmfelOl+H3jC2TfpWv6VqyDkK3yvXMxeJbCXmWyjz6x/L/KrsGtWO/fDeXVs/4Gn7VE8jLE95478Otm80G/2D/lpZyMRViw+MNzCwhvJJo8dVvYM/rVu08XarbgC01oSL6SNt/nkVpN4ue9TZq+i2WoA9WaJWJ/EValEVmOi8daJqy4vNN026U94XCmmT6T8PtXA8/TJbR2/jUAgfjWfPp3w61fP2rQW0+U/wAdrIV/Q1CPh9oMg/4kfjO/s2P3Y7ldyfnVXQi+vwt0aYb9E8VSQHsn2gj9Dmom+GPi9WIi8QwvGPusyISfxxVNvAXjmzO/T9R0rV4xyP3gVjVU2vxEhJjPhaYleMxz/L+HNAj04OQOlOz3wKABTgnFIoQE9qeEOevFKFx3p64xQAigCphg4qPrTw238KYiZFzipkXHOT+dVxKD61IJMdVNMLFqMH61aRXYjsPTNZouWC4AP4VLC5L8DBPWkBoFlLbT+NNOwNlDimb9q7ieaieUsx+YgelMCYhQzF+o4+tVJCOoOaRjg9eKidiRSAjd/U1UkAJ61NLuHUYNVHYhuaGCGOBjiq5Vl6dKsEgmmkjB4qRlYk575ppJ98VOCG+tNKgd6AKysztjBIFKV64zUrA9VWggk0gK38XI5pcD0qUpx3xUTJ75oAM+namkgdjj1oBA7/hT8ZHagCE/Pxz+NIIwD1NTlOOtQk8+lAAVU5GaiKgHvipGZl/h3CmiUDGR+dAETsq8AfnUWSxOB1qeUl+VGKZhyd3GaT0GJsYcHH4UjoPLzkbvTNWwckfJx9ajliXkiMA1jzSvqXZFJkOOn1pnluxJVQO2atjyiOQBj35ppYHAGMd6q7EkVZLLKFo357g1UaEk89fStlGCrgHP4VWuYl4ZeM9R3qITd7Mco6aGRJABkY/Wq7w44HHtWkV5PXNJ5W0ZzmugzMk2iYJPWqstooHHP4VsSxE59KrNCwBGKAMGS0XnKn61QnsuDxgV0r25b/Gqj2JIOc596BnLS2oA6VQltAx966yXTyR0NULjTwik4/SlYZzDRtGTjpUfyfxAhvVa3DaF+inHutVpbAbs96QXM8Syr907h+Rp6TLuweG/2qWS1eM8dKhb0ZcgUrAWd5Ydce9P3SpHjcOfSqarnlH2kdj0p4ndD+8XGe46UrFXJXLu/wC8Cnj05pi2fmDh9o/2hQZ1ckrz7infaSMEY6dKNQ0IXtJoxym7/d5qFXKPuXcrirq3ZVicZ47mphP5zDMY/LNHOxcqY2C+8/CSEI/6NTpY/Wo7hInfAiVSOpHFPj2rCcuePu55qlNMXIyuQ6Z2VDLEkq/OBmrR+ZuOagcAdRj0qySKPfD92UkDpW3pXiQ2MmLi3WVe+4ZrGIAx7c0yQgjbn5j0pWuF2ekQaj4c1hAJII43PccGoLvwZbXQL2VyrHsr/wCNecgMGypIq/aa/f2QGycuo9anlKub0ul63o53KJQg6bfnWrFl4uvbVgJ0DBT2P9KTT/H5O1LvC5/vVtmXQ9ajBlSPce69aXqFzqNNvodV06K7hbKuPyPcVMetYmhWCaS0scFyZLaU7lU/wt/9etqRhnJ6GuGcLSN1K6FR8r0oOO1R5CnI70ZzmotYZOTnBppOaRG7etBOCa7qM+aJjNahjv3pD94UdqM8VqSIap3MWcgkhGGDt6/X8OD+FXiMio3XcpoYEEEjyx5f/WIdr/X1+hGDU3WqJf7POshPyD5JT/sdj+B/nV4jbwaAHA/lTiKjBzTs4piFHFKOaTvSigCpd6fFdlHbcssZzHIhwyH2NOQTRcSXKlh/EygNWgIR5Y/eBWKl25+4g78+vP5E15lr/wASLW3v5bfR7C2uI0bH2qfJ3n2Hp9adhHoqj5uDuNP2lu3Ncf4N8WxeIp5LWW3S2vVTeqxk7JAOuAeh9q69LlFlig3fvJmxj/ZHJ/oPxpWHcidS0XmKI4oV5aWZ9q/hSW1zBcBhbX1nc7fvCCQMR+FeQ+P/ABXda5q9xZRz/wDEut5CsapwJCON5rmdOvbrTryK7s5GjnibKstAHvWtkHTpyP7layXEFtZPNOyrHFAJJnzjaMdPyBJ/+vWBe3QvvD63i8LPbrJj0yOa5fxPqE7eBdSO87nv1gb/AHcZ/wDZRQIzNX+Kepz3TJpUcNraKcJujDM4988Cus8GeMP+EjWSC5ijhvIl3ERfdkX+8B2/+vXi8UTHHHNd18O7R08SI68BYH3fTj+tMD0+41eKwN9O4BSxtjMw7k84/lj8a8A1LU7vWNRlvryVpJpGyST0HoPYV7HqlpNeTa7p8YJkvNOzCP7zKeg/8d/OvH7WweQn5SFXqaAOj+HeoTWXiKO2Q/urtSkinocDIP1r0q/vXVtURCfMj02SSP8AJuf5VyPgTRXGoteFCIoUI5HV+36ZrrdRi+zX1vqGwyRBTDcIB/yzbqfw/lQB4KkeW65Ndj4FsZV8VWT4wU3Mx9tprQl8A3FtN52noby1kOYpFYY2123hrQE0e1d5dr3cuNxH/LMf3Qe/1pgPurSS9vNY01Th9T0x4oMnrIpzivF4NKm81lkQxsjbWVh3r3e9s/tAR0Zo54m3xSr95G9RUf2e0uL0Xd7pVu91nJmUldx9StK4WOW+Hnhx7KWfWJBtjEbRxL/eY8Vp3tj/AGhNcwhtsmxZI2/uurZU/nXTvIzoBhVUDhV6Csi051uQf9Mj/MUActf+GIdd1FtQjdLXUXx9qt5eBvxyynvmtzw/4Yh0iX7RNIk9xjCYX5Y/ceprXnDEbYIBKwb5sttRO/J9ada3BlwAYWUdTE+4UDFvLKK9hMUq5Gc9cEH1HvVcWR3L9rWG4YLjzZI8MR7nvWpAEMo3fgP7x7CuJ8aeOoNE1D7BZ20N5dJ/rXlOUT0GB3/lQgZ2ka4XrVe5ikkaPy85zyAOorlvBvjJfEDy208EdvcoNyrHna47/Surn1q30jS9S1Ngpaxt9wB6GRuFH/oP60IBGtksZlWd7G0L/djluFVz+FXCrrIqMPmP6184X17d6tfS317K89xKdzu/evV/A2tXM3hC7WaVpJNPb5Hc5O0jOPwIpiOm8U6vp3h/RzeXRaVSdkUKnHnN/h1/CuC0b4lrJfrDdaZDb27tjfAxJT6g9RWb8TL2a4uNGt3YmJbISj/eYnP/AKCK5G0s2bJYH2oA9t1K6Fpdpc/880kf6/LXE/EXXrlILLRUmbDRC4u8cbnc5AP4c/j7V02pwzSaZDE2fO+ytx33bM/0rjPGumtc61aahGS1re2sbpIOnC4I/SgDD8LalPpeuWs8LMqmULIoPDKeCDXqniLUZYbPXIo3ZWh0/K47bmxmuM8KeHzf61b7If8ARoWEk0nYAcj8zXd63bRR3guJoi1pdQta3RH8MZ6N+B/nRZgeJW9r5jZ7CvUPC1rMngi8QA/ed198Y/wNZtt4EuDeqiTxvZHlbhHByv09a9IsrGKzsIrWJNsUabVHtTA8k8bae8mvRXq/Nb3VvGyOOhwMY/SrfgnSPP1mO6AxDbct9e1d0+hDa1o8UdxYltyRSrzH/un0rSsbCGyhEcMKRIOdqjikBzup6fC51HTb2TyrXVNrwTEcRzL2PpmsnRfAcq6lG+qJGtpE2SFcHzMdh7GvQZ7cXERBXeDxgck+1Z1u/kTrA0cMTN92PzBvx9KAIb7Da9aDAALEY9PkNVW0R44/sckMd5p+8tHFL1h/3T6e1Wb0/wDE9sT6v/7Ka2eooQinp9hFZW6RRRJGi9FXtVw8cUowOKOtMBMUZwBxSikdsA+lUIjkfPy+tQk4wBTueT3NNHLc/rQMcBhSaytb1Mafp8sqvtmYbYv96tXrwK8k8a6ub7XWhif9zafu1Knq3c/nUSGjOfTXYlhNuJ/vDrUL6fcKOAp+lVkurhekjYqdNSnU/NtYVk0UtCMwzIBlWz9Kb5jL1Wr66rnG6P8AI0/7baS/f2g+4o5R3M7zvelExXnjPsavmCxm+7t59DUTaajElZGH60uUdysJiDnJU+1TLdNgDdn3pj6dMB8jBqrtbTp1jP4UuULmgl3Iv8ZNWI9UuI2+WZh9DisQ7k9R9RR5jE8HilyMdzpl8SXgQAzFx6OM1ai8RE9Yowf7yfKa5DzWByacJh680WYtDv7XxXJG2UnljI981rp8Q9RVQo1CbA/23/xry1Lg9mxUouHx1FUpSC0T6hBzj0qRW2jgcVAuSucGngn0rUzJQzNx0pckfxVEDj60opgSqMDrTxjHc1ECRTwc0ASgAEc4qdCAuBVUcmplB7c0xEwkI5/nUiSbSfmABqBVJHSpfL6cc0ATNOmOuce1RGTC7sE0hTOOlOAywBB/AUARmU8Eg4qNmYcggirDlEB+Xp+tVnZducYPpQBDI5PXtULHinueveoSpx7UhjSwzzUblemOtEikZw1QlSSMtxSYE3yjAPFBII68VCVG3hyfaozzjBz7UhkpYA4U/iaASMnvUeOKNxGcCmIn5INQlc9qerccj8KAyt0BH1oAgKYphJUccVZJByO9RkdqQEIc9GpGX8Kl2hRx1pdvBoAgK7RzTTsYED+VTlcmo9o3Y5H1oAiCDPGaCmPrVjycDioyg9/xpWAIlZ1O3kipCvGG6kVByh+VgPrV+KHzIBvY5Pda5a8nDU2grlFlTbgCq7DHIU59a0J08iRSfmU+gAqGVQYy4BTb1qY1eoOJUJkyMIw7c0ssZMQJ+9+dTuXj+6sjE8mmC+G3CJkj3o5pN6ILIzjHtzyaY8eTx0q25MrEsmM03ys8muuL0MnoUyoI5NNMZ46Yq75eB04phQVW4ig0Q5+XmoTBjsc+9aEiY7cVEy8dqQyg8YxyKpzQKVPb3Fajxg5wT+VUp7aOVsuG/A4piMcxeUW++5/2jWfcxFiSE256V0bWybcY5qF7XjgY9sUgOPmt36lTVOS3yfunNdbPZ5BPBqjJZ5PAwaLDOYe2ZOaiJYH/ABroJ7BlzwapSWPTPelYDJKo5/un2phEing5FXZrNkJqsVZKAGLID1PPvVuFQq793NVhlzyAae0e1flJHt2pWKQEuSWycmnpsB+bmowzIQCMj1qUGF/4skdaVhpkhkQqQQAPao3GRnginbEPvSMseOVNC0B6kBBIxmoyM9efSroSFlGFINRPbELlHD+3er5iLFXPzBcHBqF48vxwoqYbwxDrjnvQVyCO9MRnTplgadDd3NqwaJ2WrLx5HQYz3p8aonySJkY+9QBpWHi+6t8B3PFeqeH9bh1zSkuUI8xfllX+61eQppMd2uYXUn0zWr4Zurrwzq4eZJBZzfJMp9OzfhWdSHMi4Ox62eRSZwKYrBlDIQQRnI70hbmuXkNLkwbOaeG3fWq2/FORxvz0BGDV0/dkDdywB2oNKORSEYFdRkGfypjDPSlxjijOM0AVp4hjO0EY5B70lk5Km2clnjGUP95Ox/pUzZI9KpTq6SLJH/rEOU7A+qn6/wA6QF4jFO60yOZLiFZFBGfvKeqnuDTgcVQh460vSow1OPIoGzlPFOtTReC9ZuY2xJPdCzDD+FRx/JT+deLZzXtWp6T/AGla6voP3JLki9smY4V3H3k/z6ivMBoVzazNHdwNFKpwY3GDmqJLXgxZ4/FOmPDkP9oUf8B7/pmvXbpvL8Saec4R/MiB7buornfA/hmW0m/ta8jaPapFujDlif4vp/jXU6jYi+szHvKSKweOQfwOOhpAeA3VpLb308EysJI5GVgeuQavWemzTvGiITI5AUDuTXp1/wCHbPV7lrm7t5LPUT/rZ413xTH1HpWjofhiw0mUTxmS4uf4ZZRgJ9F9aAJprP7J4cSz6mG2Ef4gc1jXmmw3NtdaVcOYoNSVJoZm+7HcDoD/AL1dNqaYspeePLNSRWyXOnW6PGrhoUyrDOeKQzy6LwRqdtOYnspHlHGQPl/A16J4d0OPRrHaxDXL/wCtcdB/sir8FskQ2QGSUKcYjy4X2zVpCCCNrAjswxTuIztUsWuGinhk8q5gO+KTGdp9x3BrPGladdXRmutIVLhh8xRsox9cV0DIWY9SPQdT7CsXxD4k0fw8Eh1G4ke4YbhbW33gPUntSTYzUt4EijCxoI41GFjXoKmK71245PGKxdA8S6X4gRxYzSrLGMtBccPj1B71uwSI1xHBuxJMcfRf4j/T8aYFWLTA0jfZYC7g4YRjAzVjyZrcBZ7eSFj2cV5h48+It9d6jPpOiXLWmmQMU3252tMR33dQvtTfAPjTUItXi0zU7uW5sLlvL/fPuMbdiCaLCPV4Y/MbHXsB3YnoBWB4p8VaF4UuVtrxJ9Qv9oZ7eB/LWP0yf8mtOO/+y620LjctrBJcEeuB/wDWr54vbyfUtRnvbh2eWaQyOfXJpge6eHfFWj+J43SxWW1u0UubWZtxKjqVbvVee7+x6hNN/F5O1QB/EWAH86868CRTReI9OmhJJ+0hHA9CDn9K7bxDmOWSRQSIikjf7qyKTSA5r4jeJLhLtfD1pMyW1sgE5B5kc8nP51yOgaxdaNqkV1buQAfnXsy9wa1vHNhMPG+ovtO24k86JiOCjdKTRPDc+qXUNvChYbgZGA+6vcmmB69Jd41SxVfuujyj3wvH868AuXmvL2aaTLSSyM5PqSa951SB4ZLO9gQubNstGOrJjBH+fSuKn8Eb7/7VpzLcWkzb0I/hGelJAY3gK2uIvEluwQhTnJ9sV3OsWlxf6J4p06MFpWWK5jQdWRTz/KtHQtBTTF8xghmZdo2j7i+lXbqykN5Fe2soiuoshWK5VlPVWHcGmB4vYaOXZGm+UN+leqeF9C/svw9LHOhWS8Yu0Z6hMYH59a2LezsFm+0f2VFHcE5JVspn2q6SWbcxyaAPPtX0A69Z21o7KmqadujVJDt8+LsQaTw/4GkhuhcakAoU5WHduyff2rvZtPWWNZDDvbqgxz9fYVDFIUYoEQlfvbZAxH1oAoXSA6xaKeu4/wDoJpp0URLJa7I7iwZi/wBnmX/VHP8AA3YVJdnOs2bdi/8ASoPE+vWGi6V9vuh9pEj7bO2DY346u1AGpZWsFtB5dvDHFH/dj7/X1q00atGxfGwDk15l4e+IjXeqpbX1nbRRTvtR4Pl2emR3r0GbUks5WaRsLBG87/RRQBXne2010802toHPyiaUIT+FaaSbgBivnTWNWuta1SW/u3LPI2VB6KOwFeo+BtVuJPCdwrsXks8hC3XbtzQtwN/xJr1j4f0pb6+Q3Es7FbW03bd2P4m9qxvCPjlNcvTY3FnDazsC0TQk7Gx/Dg965f4myy3Ou6fGfuJYx7B9ck1V8E6dK/iawKDmN97EegHNNiPT9a8RrpOi6ncxqpmtYgsef77HFeGJeXk98bp55GuC+4ybvmzXqWv6dNfW+vWSKzTOIriIf3gDzXHaToD3FwsCLukbr7Uhne2V29//AGJdyffkxu+u05rq+1c6LZLK60u2BysbqB78GuiPp3poQlO70g4NGfTNMAJwKhdtxI7DrTncgY79qZjauKYhjdqTb60Z+al6n39KBiPDNJbyeTG7nGCVH3c1xt34Ltn3OpZW7qw5z9a9j8P3On21msMGoW7XL/NKnmhWz6bWHatd7BZ9zS28UiHnc8P9VqWh3Pmm58GSKTszWZL4au4ucE/hX0tPoGlTSFfsyhv+mUv9Dis+68E2JUnzpIT/ANNIjipsFz5sk0u6iJzEfwqq8EiH5kIr6Fn8AtKCYLi0mz6Ng1iX3w+vIlbfp8hUdSnzClYDxIjHtQrOnKuwr0m68GRjIeIqfdayrnwZtGUzz0pWGcil7cp/GD9RUi6lJ/FH+Valx4Yuos7eR6YrOl0q6i6xE0WABqELffTB+lL/AKFN3XP5VVe3kT78ZH1FQlPUc0mBeNhC33HI/Gon0tsZSQflVcAr91iD9aetxcJ0kJHvRYdxDYXCDhN3403yZ+8T5qymoTr95QRT/wC0/wDpkfzosB9ODg0pfBFGO/endMcVZIoOadmmhssaCT6UwJA1KGzjtTBTwpxkUASKfepV9O/1qJYz61Kg9SaYidDzgt+VTBQOT/KoFB3ZxmpDJhcAHNMB+Av3geenvVeS4CyH5JOPRKeLgtglCT71IZHxyMe1ICJGDrvUED/aHNRyIo6NzUxcFh1qGRhzhRg0AV3zioCpJqdyT0NQkk59aTGQvGzD72KjKH15qyeRz1phjPYmkBUaNwKXy2bBHNWdhUZY5NIE+akMrmI4zz9KaAc9DVlsZz3FRM43YYnHqKBEJVh60h35qUuuOKjLdcZOaYEfzE9vwp4ySCB0phZwckCpkAIpAHGDmm4GfanuAFyOTnnNR4z3oATcGPpQ2QOBmlKBc/NTc4FADdzGkK7uuaeWGDu6/WoyeBzQAx19qvW86RwqC6r7d6oklfpUsKo5AO8n0WsK8IyjqaQk0yw4guGLea7Hp0IApohhBG1Zmf1xmp0R+CLbyx9QM0rxyjLJ+rV5t7OyZ0WuRmBvJ2GABf8AeAzUElrllVYViJ7girJWaUbQ6KR/sUyOKZXZGmYk9Dmjma2aC3kV2jWEMkju5PRmFU5flYgEMPatY2ayZ3I2fY4qnc6f5SsVbBH8NbYevHms3qROmygyPsL7fkBxntVd2IxhSeasbeetN2KPSvSTOcrEcHI96ZnHSrRA/u0wpnJHGaYFYjJ9KiIXJHerZix6VCUbB4ziiwFV4xntUJAxyKttEc5pjR+wpBYoOm7pVZ4T2Xk1pMjjqtQsrZ60AZMsB2gbcnPWqctsck4/Gtxoyc9qqSQck96AOemtssScknuapTWo53Cujktc5x+VU5bPJ5FAHNPbKDxmoHBB74remtOfeqj2mf4eKQzLDjuKRgpHy9aty2ZGeOKqtAyc/wAqABHkRjwGFTrOjffyD71VD4pwbIpAWxgnOQaUbQOgqmCU+7kClE7AfMuRRYdywxRuCuT71A1uGzsb86BKr424/OkLMuSKWoaEDwTRLyhI9qiR95wwwRV0TYAyvWlLK68gfjT5mHKUJAyncjFT7Gr1rr1zAgimVZ09Hppiicgcp9KY9kONjk/hT5kLlPRfCniG21GL7CpKTRLlEbuvt9K6QnFeM2gurK7jubWQLLG25cGvV9N1JNSsY7hQFZhh067G9KiSQ1cuhqM1EGznB5pQ2R71Nhl63kDpg/eXrUvUVnJJ5bhxWgHBAIPymtIkjgOOaYy9xTs5oPSqAiNQyJuU1YIplICjHL9lnLtxFJgS+zdA349DWgRVWaIEnjIIwR6im2k+zFtIxyBmInqy+h9xQmIud6eOlRDr1p+eKoCC8soryLZJkFTuR1OHRvUHtU8bzKqibypyo/1jxDdSg5ri/FusSnU/7NCSC3RAW25+diP5CmB23mCTDb1cn+6c0owf8K4vw5GIbmLBK54K11s03leWi58yRwiYpASvGdjP+7RV5Z5G2qPxqpa6rp91cGG21KynmH8EUnP/ANevM/iN4pnvdVm0W3fy7Gzfy2VD/rXHUn6GuJtnljnjkicxyKwKuDyD7UWEfQ2pH/RJc/3DUunSwnT4BM2xFtvMlf8Auxgc/nj8s1kWOotq/hW2vn/1jwYk/wB8cGsPU7qZfB2v+WWDJbwR8f3GPP8AWgDnvE/xN1PUrowaPK+n6dG2IxF8ruPVvT6Vv/D/AMa3erzf2NqshnmCF4Lhvv8AH8B9a8ojiLMB3PpXa/D7Tn/4Sq2kxxCGkY/hTA9VfUIoL4+YMpbwPcv9AP8A9dfPmo30+q6ncXs7F5ZpC5JOe/SvcL+MHWYkkbZDf28tmW7KzD5f615GdAubS8lt7uMxNC21ge5H9KAJvB0str4m02ZCf+PhVI9jwf517EZGXxXFCp5a0n8v/f7VxHgrQWfUhfPFi3gwyk/xP2ArtdRgmM1ve2pAvLZ/MjJ6H1U+xHFAHgaW0hfaynfnkV1HhLRJL3XLGKPr5oZj6Ack13V14Q0vVr6XULG4WxkmbfNazpgq3fb7Vu6PodnokLfZ/wB7cyDElwRjj+6o9KegDLpkt/E9reTf8elwJLWdj0UP90mvMLzwZe6Tq01tcwsURz5TAfK69jmvX5raOeFonUNGwwVYdaZF9psYvJ+0v5IHyI/zFR7d8Urgcz4Q8LNp0i6rdBo5drLFEeCM/wAR/CtJoUn1cxMoZHhcMPUelbKypLh9+5qykGNej9Nj0AUn0KK5torK/gNxFbjFvcq4EgX+62a2tO0610+DybSARhvvN/E31NUb/U4bSzmvbu5+yWKHb5owXkPovtWNpPj3Rb6/S1imvIi52objGxj/AEoA7Mr1B/DFVUsk85jbW5kkz8/lLgf8CPTP61K7jfGucOzhF+ua81+I3je6fVpNE0edrWxtf3chhYqZH/iyfr/WhAeoBHj4kieM+hphdlYBArOTwD/OvJfAHijULfW4dPubqWayuj5ZjkcttY9GGenb867LX9Vls7DW5o+JLe0CqfQucZ/WmBm6z8QdI07U3t4bee+dHxJN5m0A/wCzXVaNrNprVgt1bOTEx2tuGGU+hr58ggaRgB1NemfDiOYWuqxjPl4Xb/vYNAG58QvFb6d4djjsnKXF+xVXB5SMen+e5ryDTr+5tb5LqGeRJUbduDHJ+tdb41tprvS9DuVyVVJIG/2XDViWGiS3E8UESF5JCAAKAPU7y7FxBaXkZwJITKD6fJmuC+IMrzXOjwclI7BCvuWJJr0Oayjtl0+yGPLRRD+GMVh6n4eTVbe1tZZEi1OwQxRtLwlxFnIIPqKAPN9O06Z7qEIDvZwF/OvYdStpJdQktt2Dd2Mluuem/bVXw74VTTZhdXmyS4Q/ugrZVPf61v3tkt3CQWZZAdyODgq3qKAPDIdGniZhNHtkU7Sh6g1654X0I6Z4fFvOm2a4y8q/3QRgD8sVbhtw0yTXkVsbpf8AlsU2sffFa68Lwcn1oA4/UdFi1qG1tp3SLUrBPJUy8LcR54Ib1rU8O6DFoqyMSsl1INrMv3UX0z71r3sCR27XLmJUXl3lOFX61Q0vWbDUt6Wl7b3DR9RFkYpgTajYG88uWKVopojlJF7e3uKbaae6OXkSJWP3jGuN1Xwfyp26kIxtT41ix9BKn9a2u9YuqHGq2f8A10T+tbVCADTScAkmlLetRffP+yO1MBOc7j17U0njNKxzSdV9BQAzvzWrounT3UxuYdv7hhjcpYFvoOaoW9u9zdRwxj53bAraisPFGnIYY9P0nUYVY7MP5cgH44qhM2czyLtvNMtbr1+dWY/g4BrNuLHS/NHlm/0t/wDpmzxqP5rTH8Tz2i7NV0XVLNO+1fNj/UGrVp4l0S4Xbb6jEr5+7IGiI/Lj9KBXHpHqceEs9aS+X+7dQh//AB5act/rcDjz9JgkT+9aXW0/98tU0djb3UvmCK3nHZlKsfzUqaabMtKIhNcW4z08zcv5SD+tILsZNr+nRDF/Yahbk97iz3Af8CWnWuoaddsDY6xGP+mfnbT/AN8tVkDULSMrDIkq+sivF+q5WqM1tbXjYv8AS47hj/EIklx+KYb9KLDNl4ZTFlljmB5/eRcfmuazLnR7O4yZ7BF97aRf5HFZ6abZxyFLO4u9PPpDdMmP+ASCp5IdetgGt9Ya6X+7eWu5f++0zQFyjceE9MkZtk1xAf8AptCcfmKzLjwFJNk281rP/uuK6OLV9ctwfO0e1nX+9Y3Xzf8AfJpkninRWwuqWV5aydzc2mR/30KLBc4W/wDAF5CpMtmceq81zV54MwTvhZD7pivb7LUdGvQFsNViUH/nnclT/wB8txV57KYqQLhZx1/fQBh+a4pWQ7nzPceD3UnZmsyfw1dxE7RuxX0xcaLDNIRNpVpJ7wy7D+TD+tY954X0lv8AljeWrd/3W9fzXNHKHMfOEum3UX3oWxVfyJf+ebflXv8AP4It51P2e9tZCf4XYKfyNZrfD283HFpGR6hhUuI+Y7ceop+7gU1Vp/tQAA5p4OabtPenDrwadwF5zTlbIz1pAadwDQA8cHPOKfu2nOaj+YUg560ATCY//qqVCTlt2TVfAHQ9akSQoMYoAk8zFKZWP0pm/Pag8t7UwEMh5phOflp7ICDUZUAjAwKQARjtj6UzIJ6c0Hg9RmmkGkAEruxjn1pdwHGBUfI9KY2Fxz+VICRlXGe9RkAfU0ueAO9NLe1AEToBnIx71CwGDyc1M5JHA4qA89Bz9aYxu8HtzTC5BI4zS8+hpdnBzgigQz+IdvY05gxX2puACOakXLAlc8d6QEYDN3p4XaOP1pxXJ296UoRxjH9aAEI3CmFeMEVJtIxSnae9AFYqSRjmlxg+1TYUHsaaV70AQlQTToW8qXeopQM5NKB7cVMo8ysNF8GdwI3VFU/xbuRSrZfO2biX8KjinJjXC5A64XP61cEqxoDJiMerGvFxHPTeiOuFpIjW2ZCAjf8AAick04xnOMHnvVjcZAChQrjqaUJkdRjviuNzlualNQFY/OT7UssXmCpioDcn8cUxxsHyAMf97FJOXNcDnru38mYjs3SqxUgVtXcUskTbgvqBuzWUQc45FfQYapzQ8zjqRsyPgHpRkZ9RSFGP0pPLOM4wK6DMQ4J4HAqMr1OKkx6iggEimBAyDtUTR4PvVrZ+VMZR3pCKbK27nmozEG61bMYao3iHPcCgZSaLngcVXeLj0rRKAjp+FRmJVFAGW1vu4Wojbtntg9c1pyFRkfyqAqSp60CMiS1PLcGqU0BA+YDFbjw5zwRVSS2aTP8AKgZz0yhRwOKz5Y88kcV0slq3Py5qlLaBv4eaAOdeEHPGKhMRBrdlsSO3NVZLXb60rMZlYZW560/CN14NXWtUMbFmww/h29arNbleQKQELQqw46+1R7ZYydrB/Y1PkxnpS+ajEKcZoAr+chX51KGpQhIDBht9c07C/wAPSmlFzxlfpRYBY2VmOwhqkffheuT05qJA0JO1FcH04NTpOrcFQG9D1pNFJjAGT5txwOora0bU5NNuhICTA/8ArY/Uev1rKzg7huz79KGYA55zU6jPUgySKJEbIYZz7UoPIzxmuO8M64sMgsbh8Rsf3TH+E+n0rr255B4poljias2kvzGIng9KpZxinA88cGqA1waM81FbTedHnjcOGqbHNAhDTCPWpMZpCKoCJsGqdzCG/iK4OVYdVb1q6VphXIpAQWtyZ1ZXAWaM4kUdPqParPSs6aJ45BLBtEy8Lu+6w/un+lXbe4S5hDoCrA7XQ9VPoaYicVg3uk6w+vG6sFjntptu+OTqhHBxW3nH1qRWwAQSG9RTA2ItIs7PS/tt9YpBcMpWCLduLE/xe1cvqbi2vNMuG+4t0qt+IIq/JLIxy8jOfVjmq19ax31m9vLnaw6jqD2I96LiPEfEllJb+KtUikzvFy5475ORTrbS3wrkZbIwK9P1HQ4tWeM6hA6XseFN9AoIlHqw7VZ0nwxZabMJxvmm/haVfu/QUwLFhp403w9BZ8ZSL5x/tHk1QMccNvHNcoX0+6tDbXoUZKjna/4Vv3S4tzUekos2kQBhkEEY/GkM4E/Dq/t7nNq8Nxbscxz78bh712ug6JHo1r5Y2SXLjEkijt6CtOOwWDiCFmX+7HwKfuKSAPE8ZXswpiI7yyivbZoZlyrfnVb+z/tIRL6CC9MY+WWWP58e5rTUeYrsqswXnC9W9APc1ieKvFmj+FTHDextfagy7vskTbViH+0f8mhDua6R7AFwqKvRVGAKeE3MEA5bpXLeGfHOl+JbwWLWX9nXrg+Vtfckh/u+xrpDP5N5Ba4PmzyeVx2HegLk508iIz+ZDFAqlnnmbCAe1JBsuYDcWl5bXkA6vA/T6ivIfib4rudb8RTabC+zTrFzFHGnCuw4LEfy9qx/Ceu3eg6zb3MLkpvCyxluHU8YoFdnu24b0HG9jtX615/43+IcunahLpei7BJEds9y67iX7gZrr9Rujb63Zog4YSOvuQuRXz/L5tzdySS5MkjliT3OaAPSvB3ju71LUYtO1XZI0pIiuAu07uykCt/VblrS4kmX7ywuB+OBXmXhzTZX1/T1QHf56tx7HNen63bG9llhT78kL7B7jkUAcH8StQkl1m30lPlt7GBBs7biM5/LArkLeB2O5Wxjv6V3PjPR3v7q28QQBmtbuFBM2P8AVyKMbT6dKb4Y8Mtq19FujaOyj5mkI4+n1NAHepcyCbw7NMeJJI/Mz3OyvHNUs5j4i1GOQHzFupN2f9417nqOnre2XkqfLK4MTDrGR0NYl7oNrrVx9ovY5bS/4WV4gGSXH8VMGcf4I8Ovd63DeYH2a1cM5z3AyP1xXa6vYwyXk0VydtrqcH2ZpP7smcoa1dL0q10m2MNojANgu7/earM9vHdJ5MsYkVv4SM5oA8vtfBmpWt2bQ2uX7y/w49c16FomkRaPpi20REjbizvj7zVNbwtD+7hguJYl7rllH4mr24bQcY+tAGDcaX5bTIYo57O4bdJbvxtb++h9asaVo9hpxeSztvLkfhnY7mx6ZrVuZba0sJrm8mWGCJN8sp/hHpXA2/xL0L+0BEtheRRM2PtLSZ49StAHUalhdRtPaQCrVzayzSosMKySMu7DcAD1J7VR1OVTdWcisGjLq24dCvWud8e+K5rbw3a29mxin1XdJI6nkRA7QPx/pQB1tnIkkkkKXFnK8f30gkyy/WtO0WN5VR2Csxwueg9/wGa+b9Lv7jT9RhuraRkljfcGH8q9zub2ZbmF4ujWck6j32g0IDkfFfxB+y6zNZaNbQGKF9rzSrvZ2HWui8N+JV1zSJLl0Ec8PEiL93p1FeNRWstxIzkMSxyW969E8C6ZOljqEhBVZU8tfTOKYir8StcuZbLTdNWQiOWI3E2P4iTgVy/hK5nsvEVjImcNKEPuDwa6Hxbpc17b6XqCIxijg+zzjvG6seDUvg/w/wCfqMd48ZEMJyM927AUhnpu7djFOHrUQ5PtT+opiMfVT/xNLX/fT+dbnSsXV9sVzBO2dqEE4Ge9aSTpcf6hw4buDSGPIMkmwfjSyEJ8q04kRKFTr3NQE8+9AC5zinY4picnpxVyytvtEpZh+7X9fagDI1fw/f6pDA9tqzWDxndtEed31OaqRy/EnSuIbyDU4F6KZQSR9HruSoP0qNoskYqbhZHKw/F7VNGZY9c0KaAA/M67l/xFay/ETwJrqbr+zjaQ95LYN/48vNaLwFgVJDKeoIyDWPe+FtEvsm50m2Zm/jRNjfpT5gsa0Gj+EdY+bSNQms5P+nW5Ix+D1M/h3xDYqf7P8S/aAekV9Fjd/wACFcRcfDnSwN1jfXtk/b95vUfgahj0HxtpILaX4hSeNeiSMy/zyKakKx2aap4t0+VvtWgRzber2knP9DQnj7S55fJ1BLm2lB6TRA4/EjNczb+OvH+lSj+0tDN3Cv8AHHGGz+K1qw/F/QLnEGs6b5Lk4ZZUDAfgwqriOst/EGnXiGOPUAyt0BbA/Jsirv2a2iTzhAnPPmRgp+qH+lctE3w819d8bW8Dt/zyZoW/Tir8HhBdu7w/4hvIlHYusyfpzTEaCxxXblkuZ3P911Wb+eGqcNLG3kxGPn+AStEf++XytZEth4xsl5fTdUA7H92//j3+NVn8Q39gjDVfD2o2yfxSRjzE/qKANS+0TTZIw+o6Ojsf+WrW44/4HGf6VQg8MWzEyaRqN/aY6C1u/MA/4A+DTLTxlot0+yHUhBID92UGM/p/hWp/a0NwpAa1uWHrsb9eDSCxnsPE1s2yLWrO8K9I9RhMT/n0q3/a+v2sW/UvDBkXH+tsJw9XkMAUHMkW4fdWUgfk+RQib8vBdqmO7R7f/HkP9KYjJj8beHLyX7Nf/aLeY8bbyDNaCw+HXUMr6fg/7w/SppFvLhdkkMF8n/AJf0bBrPfQ9Ndy0mg2wc9R9lkH6A4oAkxuGTSj86Q9Kdxj6d6zNBRg04ACofN+baEJP0pyyEjBFAE3A4oJApgbBPenZBzRcB+7jvSDmm85pQc5oAlUEUEc0xTjBpx55zTACDmlVvm9BTcn04pN+e1AE+/rxUTMCcfrTCajMnY0APOFpm8EZycU1nJPApu45pASh1NIfmGaiDHNLuyfvDFIY4kZ4FIcn2qGQ89Tin5UdAaAEK800QYPtT/MIb2p27pQBGsOB7VE3yhgO9TPuGM0wckfLk0BYq7M5xSoNmeeKmaLJJyPzphUAHnJoEO3ndk4+tDMc8njtUZIK9P0oWVjxyMeooAeM+9JjDHGKcWJ6mkPOPSgCMfhT1XceeaNmT04pBwe9AEpiC9AajZeD09KRmPHpSFiRjtQBGwOeASfap7Y3Mz5DB9vGHHFQglWB561qiVLYKxaMBuTtrixbko6I1pJPciuBdRhQEQL/HJswAPqasBZvKBUqfc//Wo+0pcOsSNvVuWx6U2WGSSQ/wClsoP8IFeS07KMtDqVugxY1Y/OFUdOWPX60qREMyZbK+vSpxCIyu5/MY9MqKkmGOePzrFzd7FGfKJYzwoK+npWTLGyyFmXGat3WoySKY0+XB+8hqkS7n94xyP71ezhYTirs5qkk9BjAYqFj09amZBnIPFRsnHXNd62MCPrR0PSnFQpzwaeApAOKAIyOtNaPNT84IzwabjJIA6/pQIgMZKnpUToRzt4NW5S7tudyxqJkzQBTYcdCKjaM47gVc28AUwrTAouhOOKicYAAQ/SrpOS3HTvTPLyORRYDPKMc8cVG6E9q0Vj5II4prKu7AFIDIeFyvT/ABqtLbswz3J9K2nQEEcY9ahaNQABjNMDBktZRnKjFU5IGbjYa6hrdWycDJqN7RWOSVoA5SSzOOen0qu9p14NdZLZqRgduuRVKWBUBFKyGcy9qM/OD+FVHtME4rppbZc4AyD3qnJbLzilYDnSjIelN3fMMjArYnhUk9TVKW3G0nvQMrKwFI53Ujxsp5pgcg+1ADlLL91yPrzSiZwPnTj1FIHDUHg8GgCVGRjwcmu18Pa39riFncN+/QfK398f41wbYPWljnlhdXjc7lPBzyKVgPWj096TNYuga6mq2xjkwl0n3lz973Fau7sfzoAswTGGUOOnceta6MjoHQ5B6Vg9c1asrryH2N9xjznt70IDUIpeg6Up5ORSdc1QDWGRUZ7jtUoGeaGX5aAKroCDmqUySQTfaYBl8YdP+eg9Pr6GtPaAeRUbxhl6UkA2GeO5hWWE5U/mD6GpAcVlypLZTNcwqWB/1sY/jHt/tVpRSpNEssbBkYZBpgSAZX2qNl29enrTg2DTshhgjihiEVgeDUmPWoWATkdvXtUqvvX0b0oQ7Ed2MwGq2hyJ9jt4Wcqzb2J9EB5/PpVi7/1B+lczDcSJp+qLGT5i6XKyevU5piZzHjH4i32oXstlpMxtbCNtoeE7Wlx3z2X0FHgfxlfprEOnajdSXNpcNs/etuaNz0IJ9+1cLDCWYAdTXW+F9FM2t23lkNsmQk/T5if0qhHr0d2E1vT7ds+X+8mb32rXz7q99Pq2tXl9OxaSeZmJ/GvctRmNnqWm6oV/c28xWfHaNxtJ/DivMdX8IzaRrNxFMS0O8vC6qSroeRzSAxdDiuI9Xs5bfPnCZCn13V7lqLeR4u0i4kwIzceW/szL/jXK+DfCxjuU1a9iKRQnMCNwXb1x6V12oWy6hC8UoJ3HdnPKnqGHuKAPD9V0m5h8Q6jbSo3mR3Dh2P1zW94W8Nf2pqccO3ESnfJJ/dANehXWmwaq0b6taeZdKNpuoTt8wf7S+v51p2Nla2Vv5VrAkUZ5PHJ+tMLMh1e3eaa3voELSWsokVB1dehX8q4W58H+feTXelNFLDK5bY5w0Z7rivSSeB61Wkt8THZAGfu/QD8aQGJ4b8NppbfaZiGuiuPZR7VflGdct/fd/I1oRyuCEdFXPdTkVnzEDW7c+5/kaAJWtEs5JZ45PKR+ZVOCje5B7+9T2t1bS4jSaPP91Rt/IVg+I/E8GhaQuoGNZ7mclLOF+ir/AHyP89q4Kz+JeuLerLdvHcW5b5ofLAwP9n0oA9mPUKO9ZutXtnotmLrULwW0TfcAGXf6D3onv08i2kjbKXJTYfZuf5V5D4/1iXWPFVyN5MNufJjXOQMdT+J/lTA9O0LxXpetTPDa3UjSrz5cybXI9R61vJcRrOyO2wBGd2/uooyf8+1eCeGpZbTXrGaLIYTqPwJwf516xq5mabVoI926TS5PLx+tAHnXiXxxqmu6i7W1zNaWEbYghicp8vqxHU12vgLxDd6vptzaX0jSzWwDLK33mQ9jXmljpr3ADFSE7cda9M8C6V9nW9vdu2ORREnvzk0WAy/iJqU7+FNMiEjbbu4lkfHcL0H6/pXmkUDna6jjNew654cOuaM2lIcXthK1xbq3HmxP2HvWHofgS8uZl+2xtaWyHL+YOWHotAG9YJI3hvRYpP8AWeTjn6kCuW8XaXPeaRoN2gPlwwNaTH/nm6v0Neg6mirc2iImxF2hVHRRmnT2PkTXMkQRopzmeCRdyOf73saYHlWg+F5NU1KKCLO3OZXI4Re5r1W/jeI21zbpva24EY/jTGCv5VYtYYoIfLggjgjbkpGMZqbqMEUgscV/wiFnNdGS0vBHbM27yinzp7V2NnaxWlrHBGCsca4XJyfxpwiRWLheakJ49qYGcdMMV1JLbSFRIcyJ1VvqKvQQ+UvOM+wxTmOB70oOR1pAIAOnanZximZOaMlnVR1NMRILKO6BZ+nSjZFap5cK496mMnlRhe9VHfPPekMRn60zGetGMUZ4o2DcliRpZAi/j7VtQGOKNUToKz7PYjYbO49TWpHCsn8XNc7rxvY1VGVrjg2e9LvFSNpsyxlhjFVnikjJyrA/SqU4slxaJuMdqXC47VWDN65p3metWSSmNCDlaj8kZJBxQJVpwYEZ/WgCJlkH3WNVbmziul23VtBcD0kjBrR4x0pCvNMDkLrwR4fuW3/YZLV/71tIU/Ss9/BFzA27SvEVzbsOgmGf1GK74ovPFBhRhRcVjioZ/iJo8YEd3HqiL0USbm/8erQtPirqWmFU1/QJ4Ezguisn+IromgXgKOfrTWgbbjqO4bmi4WK0XjrwR4iQx3nlgk/8vUCvj8RzUq+EfB2qtv0y5Ech6fYb4qf++GzVG+0HS75f9K0q3Y/30UKfzFc/c+AdKZjJZXd7ZS567tw/WnzCsde/hDXtMy2m+JXSMf8ALO/t9w/76X/Cq73XjKyZRJo9lqS/89bFxuP4cGuZt9N8a6MM6b4iWeMfwSMVP5HIon8feL9PkX+1dH81V/5aRRdfxWqUgszdk8bQ2bbdT06/06XpieL5f1H9auR+N9MaNSuoJtPT52H9azNO+K2j3zLFfwz27j+9hwPwOK6BdZ8ITqJSdFYtzmSyXcfrxTuItFvelDc881WDYPHWniQ5HrUFEwP5U4kgjHSowfxpNxNAEoboKdnHeoAd2Ofzp46n19aYE4IAyDTgynrUOcDrRnHWgCXcADnGKARjcOCfWo92R0oBJI4696AJCeR/KkL4znvTMHP+FNdSfunmgAZz36UwPxSHPOabsJOR9M0AL5nIzSklh/8AXpDEoHJyfWmBO3b1pASE5x0FN5P3aCi4poB6rlT34oAkzt4I5o6+v4VEMHklsing+gpDHbgBnFKGHrx701RnGQBTsAY/rQAhbI5O0Uw9O9OZRng8ilDHHIP5UARcleTx70wrk1MUz3yKcMDgr0oEQiPC54yKZjJ5Bx71ZK7RuHQ1GDlcYzQBFj0GBUirkZHUUZ3naOcUEYAAyfegCZRkc4qOQcdKDKwIBAzSMyseDgmgZHjIx0oAxkZp2OOlMzzjgUCAqCvWom49ae2cUxh/k0NXGS2TpFcgvGXXvj+H3rSNsgmzDL95crv6n2rNgvGtt2NgJq/b3yFELSIjBvuBe1eZiozT5kjem1sNEdxyMyrIGwxXG3/GrDR27qgn2v8A7xyaWWYBhNG2T0YDutPubS3vNm75iPun1rz2+azlobbbFGeC0EivBb+ah4fyzUV01o0WxEeJu26PpV2V5bBN4R5EA5Bb7tVLtJb+JZlhkVuxLjaRWtNttNvTuS1poZMihWyj7ge+MUzcFwcYp7BkYqwwRSE7jjivbjscj3Gbeo7Gm49Pypx46cGlByMHGaoBoR9xxkimEcf41IO+OacIsj5hQIhKnOR+VGMjpUrrgU0EHj+VMZEUBx/WmlOvPNS9W6UhIBxRcRXIBOO9RuOD8ufxqcgbjTCvB6k+ooArEEnOOtMMdTsCehzSKEwc0AVTEF6AVEycn5eavME9s1C5AOOKAKpUKAcHPsKi+YHcowferTgHq1VmXOW3c0XAifLdTnHpULw8561YAPzVBJuAOFJoApyR8kc5qtJAm35iKvt5xGccVXeFpcjAx3ouBkyxAk44qnNCB1HvW79jJPPSoZLP5TQO5zckYORjNVJLcljgV0z2nH3KrSwYBytKwHNvCwNRlT6VvSQgA9KoTQdcUAZ+SRQeSKlaEqT2qIhh0oAlgnmtZkmhcpIpyGFd/o+tRarbc4S4X76f1Fedhvapre5ktp0mgcrIvIIoGeoBsZp4bIzWHpWtxalDg4jnX7yf4VppJx2pWEbVhdhsQSNz/CfWtInAxnmuWRsHGT7GtmxvhMoifiQcZ9RTA0B0NBHFC8CkJFMY0r19KjxzUlIV+YUgIXTiswrNZSmW3AZGPzxE8N7j0NbBGRUDqCMEUANgniuYxLESV7jup9DUmOeuDWbNbSwTG5tmCyfxKfuyD0b/ABq3a3kd3GxUFJF+/G3Vf8R70ICfOQc02LazKrffXoaXPP8AjQUyQy/eFLqFwujiBlNYNpbyosF/DGZWhaWGWH/nrC2Nw+vcVv3Xz25fPG2qmgfPYyg9pmqkJnLP4CgZWm0e7jZHb5Y5RtZF9D9PpXTaB4eg0SB8MJLqQYeXHQf3V9q2PJQtnaM0/HFVcRDKgcYbFRW8UtsixxSHyV+4jc7fp6VZZQR70gGO9IBxZmbfIxY+9IFZ2wO/6UpXdVO8uDG0FunW4lEf4d/0oAdrF1p+k2QvtSv2trXOE2jLyn2FZuh+KNC1u9Nrp19dC4P3IrtAN/8Aun/69eYfETV59X8YXaOxMNm3kRL2AHX8zXO2jzW88c8LlJI2DIw9aAufRks3lNGv3ZXcIvsa8s+I3jC5uNVl0WwmMNhbfu38tseYe4NeiarMw1PRJnGBJKhk9mZP8a8Q1WynPiHUIpFPnfaZN2f940AXPCmv3mkanbqkzfZXkAliJ+Qg8ZxXqWtM8LyPklljkOf+AmvNNC0GW/1a1to0yS25z/dUdTXq2oxrPqMcbL8khKfgRigDzH4hvJJqunwE/uorCPZ75yTXOQWbthtpJ7LXqWq+GE1aG1gmcRahYp5KM/3J4s8HPqKn0PwZ9luo7i9KERNuWJedx96YFmGyltPDGlmXdvtFikcY5x3/AENcH4l8OvbeI7mZvmt7lvOik7Nu5NeyNHvXB6HrVNNPWFdisDb5+WKQBlT6Z6UAzgfB3hvzr5b+aMiCA5TcP9Y3t7Cu4u7SU3EF7AV+0QZ+V/uuh6oavqNvA5x6U5IfMyWbCqMk/wAh9aLgc8PC+kXVwJUN5bpnJtRjaPYN6V0ccUcMaxwRJFEgwqL0Fc9rmvaVoM6JqOoTRTtyLe0UOVHvWppGr2OtWP2mwufOjB2tuXa6n3FAFmW1imZWkRSynKnuPxp2zgZJNS7eO9G2gDE1f/j5tv8AeH8605VJDY61na0MT23+8D+tbLKCSKAKiJhRSFcNmrO3jHamsoC9KAIAKU8CnYpp5piYhOaXIANMJx3qFpGc7E6/yoAc8nzYHLHtVqFRCu9zl6giURn1PcmnM276UtxhJIXYk0yg8Cm5yPemAhbJNTRWskxzsJWpbOzmmkRoovMAOTXXJHaQWiyGIxSd81y1qmlkbU42d2YlnamNDuB5/hNS+YUk28MR2A6VZLFySgKJ6nqar26K7nI4FedKdmdqRaSK5uIfPkmkVQOAr4yRVOS9uREwW4fbjGM1JNcFTsUfKPaqmSI2Y/xdKfPewuQAGwKcGxSBuBzzThjGT1r1lsjz3uHymlC8cMaOCKUj2oEJukA9acJiPvCm5xSb+/aiwEyyow+9zUgOR61Tby2+tNCMuGWU+uKYF/6Uc/8A1qpCaUYGQw9aeLsjh0NAFrbkY6U5lXAG0A1WW6jPfFSb92NrikAjW8THlFpPswQkoxX2Bp+Sw6g0b8Dnmi4GXfaFZX3/AB82NvOfWSPn86yT4J0PJ/0Bx7LI2K6rf78+9Lk+g/OmIQAdKd0Ax1oVcD/Gn9BnHFUA1VyR0p4U8d6Ao7Gng4HekAzYN3HFPxgZzS4BpdvYdaYDRnNPA6c04RnHqad5Q4/xoAZ5dKqkdelOCMHJJ+X0xT/unHrQA0J19aYRgc81OF9DSEUAQbaMZ6VIQM8CoyvfOBSYDCODjFJ09xTyoIznB+tGwfWgCIOGOFqTfkBf4qjP3jzjmndvWkxjXIx049aQ8A4GDUivtBwOaQLkHPfvQBGoJp2zPenDKn7qke9P3nAwo/KgCErhvalIA6rj3pzyZxTA24+uKAHDaT70MMgg1GeBnoaVTxyRigQ8yBRg/NnrmmFVY5ycU8oBz1NNC4f5v54oGxgKpwoAFMLHceeKkaHg7Tk98UwRnA4oEMBBbkEUmcnrTmBHX8KXbjBI60AJkhajckvu6CnOeTUZ4HcUAPB4pp5PTNIjbhj04p2euaANOHT7d4wynfu5+YVd+yw7CvlJx221zpyOcn8DVmwa6knBjlcIpyxJyBXl4nDVLc3MdEJraxfu4lhtiAuxD95l/hqtbKxTyFmYleY8d/rWyUDEE85preXGQvQt7VwRr+7bqbOJQnn8yIBJVjwCHUgf1pNOjkXcxuElRj2OTVpreFZt3lIS3UHv71GLuFHKbwpB+7txQ25QaihdSpe2VtskKRl5T061ibSBhecV0ovoX3AqyD36n8KyrmNZWM0SSAHjCpmu3B1pR92ZnVhfVFHbnryaPJBXocVMUbcQy7XFL93r0r1E7nNsQCPLcDBA9aCGJ5yRUrHPsKYWwOeaYDBHkd81G0TZ9vXNWCd68GovmBO7mgCIxtnk8U0qeMjmrBTHuaTGOetAFVlP93BqPGGyc1bPPbimFVIOaYFNiDnI+lMdcg45FXfKXgdqQxDGAKAM1oiwAU4NIAduCP0rQ8kK2ehqN4AWyaAKRjyOMCo2hAwGPNXzboOdv45oEK8gD9KAM5UH90kfSmmMgnJ2jrWp5ajrUTptyATg9aAMx4sZ3ComgV14yT61oFEJPWmNCByP0oAzjEueFWomi+XHH1rSaAgH/Gq32ZUJ2IE3dcd6AM6SLI7ZqlLbkHHY9a23iXoSaheIHPyn6UBc52e1z0FUJLcqT8p4rpprf2qo0G08opx2oA5xrdfTGagltsY9K35LUHOetVZLc7cYGB3ApDMF7cjJHT2qsVIPetx7Y5NVpLXnJWgDPgmlt5VkjYq69CK7LSNbivkEUuI7kdv730rk5LUg1DteNgRkMOhFAHpQkxipEl2MGU4KnIrlNK1/eVgvDhugk7H610CyZ+lAHVWF6t3HtY/vR19/ereMfWuPjnMbh0JVh3ro7C/jvEG7AmXqPX6UDLZ4NGaUfNSsAO+aEIQ81EQKlHK01himMhZciqFzaEsJI2Mcq/ddeo/+tWpgU1o6QFG3vhIwiuE8qboD/A/0/wAKvqCG4qpNaBwflBB6g02I3MEYiTMmOAX5Zf8AGi4WLU4IgcdsZqpoAxZzf9djU0kzMuJPlBGDmmaFj7PcDrtlx+lEWJmqBmndaAOgoPBqhDStGOPel3Y+lLtBoAYOetZurloGs7xVJFtcJI+P7ucE/lWntIY0NGHUhhkHgg0IZ434y8PT2Xi+/wB67ILiUzwuejqeeP5VZ8JeGW1nVow+PsULbpnxwP8AZ+pr1RLNPs620sMNxbJ9yOdN+z/dPpVgIkUaxQxRxRjpHGu0UxWINStl1C3kjJ2FseW4HKEfdI+lc9qHhqHV5xNMptLwY8x0QMsnvXVonzZqQJzkjikBlaRoVnpMO23j/esMSSn7z/8A1vaorsY1e2/66CtzHNYt8Mavbf8AXRaANN0DZBGaFAHahx81IiuWoAcSAOOTQV3dfyqQLjtS4NMBmzArPuNQNtqAQ52RwyTt/wABH/6608e1YuqQqupQzSkLBPE9o7f3S/3f8KAPB7+8n1TUZ7+clpbhy5/Gu8+Fhnh1i7hcHy5Lfn0yDx/Wsk+GZtMu2tp4y8ynAAXr9K9G8IaC2lW73M0RjuJuNp6qtMDpwPlpMZ/+vUm07g1OCfnSAwtbGJbf8P51quCWNZ2upiSH2/xrUdfmOOhoAhj6c0pWnRIAG65zUgTigCsU4NRMMA1ccKg5PPpVWVGf73A9KAKb7pDhOnrTlQIoAFTFMDjp6Um0496QDMfnQeKfjHWmOcmmA0k4qWxsJr+cQwc+rVYsNLe9O+TMdsOsn972FdRbRpaW/l2sflRkdSPmNc1euo6G1OnfUSAJpsS2+EabHJU8fjTHbf8API28/wAqilXZ93vzQANuDgZrzZVHI7IwsOyCv3aiSMRk46GpQMj1xQSpH0rMvYqlQWI4pk0fysw4FTSsB9TVYzb2dewFVHcG9CsnzYJ61IM7gAaAAFx1xQTjPFe0tkeW9x5HpwDRuNM3cdKQn1zTAkz8vIppZRTAxzjnb60pOD7UCBsrg+tNBAJGOtKNuCKXaCOtAxVPHXp7U/Lfdbj/AD1pu3HHQ+9NCsCTnr60CHso3/eD++KQxRhdytg+gNNJNODHGcn8KBiAyBsBzj3p3nmPHmD8aCxYliSSaCxZQOcClcQqzI38VO3D1qAxow5Tmo/LH/TT86ANMEkkU4BSec4FMEbDFSgZOD0FUALtBBCtTwcBuBSgdMDigrkdAD6UAOGeoOfenBienFRjK9elSBuM0wHgce9KrZGduPpUYfmnByOOfxpAPLYpQR6jNRkg0gLZ6UwJi+KQvnNMAyc9DTGODQA5iAB60m7HUZpp4PvTME9zn3pMB+T68Uh79xTDuXvmm54HHFAIXAI6UYGRzikYnaKYTk5XhqQyxuA9KM/LwKrglm5bj1peQcihgTkFhxwKYcqvHSgMQvUr+FNzwdz5+tIBgIJ60oAbimcAZ756Uqv8xCjFMBWTHIzj3oCsF47d6l3fLk9ajOMZ4J9M0AKJMdMmlJBXI5qMIZG/2aNjBsBh9aBD8kjjrSlCy98gUoGVxkD6UEYAOenrQMjKHacjFNC57YqberEfPSMuPUmgViBkwOn41Ewzn+lWj82cqM9OlRFQCc/hQBAoO7GOKDknHFSAnd0prL27mgBFXjnNXtP+WRmAyuOVrPAGfmJCmtSO2iYLJbyMCPWubEySjZ9TSmrs0GnWNB8rH2UVXikuyFM0JCnhiWwPyp8Kvt+7n1OeacfMjyF+YmvFainZI6dRtxbs7xhJZI1A6LVOayEUQmh3O6n5267vWr0crYKyLtb0Ap4JSXgDGKn21SnoPlTKh8p4A8Uyru6Ov8qY0MkcTbpmBPfpU0LeSzRRJuTdn5v4f8akLwxAb3XLdQzCn7ZhymRd2qLGWiPI5b5utUQ/HTNdBPYJKwIyBnJA71i3sJtbhkYfKT8uK9PB4iMvcvqYVIdSID+6fwoBx97g0hZR16jjFNLDOPWvQMCQDb0pN2c9KhyRxjIPpQJMLjZznrzQBIX2n7uaYZeeRx700uCwwv60u3dg8UwFG0ng4z2pjnaec0uxiOlDI2D60ARhxu9BTDMP7pxUpQgc01oyTyOlAEfmE9M5FKD2/nSFHA5FMeMIg2E5PWgZISueMg+9Nx0ziohGdxJ+alKkgUCB3+bAGRUZGT0walKkH5cg0zym3DJGD3oAhbf2WmMjAVZxszzkf7tNIHJyTQBTZW21Dtz/AA1cKfN1OajIANAFN15+7TGj3Vc2krzimOucgCgCg8e4dOageDn8avOueuAaidAvUgfjQBnS2uQSRzVSS1wO1a5C8EmmvEpHFAGE9shH3TVWS354BxW88Cls54qGa32D+E554oA514Dk+lV5IACQ3Wt6SIfjVOW3JJ6UAYMltxntVzT9WmssRTZkg/VankiwMECqssXqKVhnV2ki3UImhYSR+o7fWte3RAUeNtrdq89sbu40u6E1s/8AvIejD0NdzpGpWWsKFgdYLzq1tIcZ/wBw96LAdHBc5wsvDdj61ZzxWWhKkxyLz/dapo7jy8JJ93sx7fWmBdH6UpFIjbh1p3ahAMxzTutBPOO1LQAm2gLg+9PpwGccUICrcReYuCPxqpplu9ldzd4JuSf7rj/GtUpmmGHB+U4oAmwc8jBpT3p63KSELcrtbH+sjHX6ipGtyEDoVkQ/xJz+fpTArAZpwGKXyyKcoyOetAhuKAOKk25pRHgUANUYpQuTzT1WnpFRYaEVQKdtyKcV2800hnGFGB60WEIcAHpmsLURnVLc9/MWt8IAeeTWNqwxqFuf+mi/zpgavkgHpzShQKnI5OaYQR0HNADNtGOTTm+79aRFKKB1PrQAgBOfSori2S4haORFdWHIYZFWQCKQjNAGfFaNAFQOzKvC7/mK+2auBOcjpUmzFKBg9KAEQZB9KfgCnDgUoXJoQGLrcW9oj6D+tapjqK8QTAoQcdiKnjZjEoIy4HNAEYjCE54FNOW4QY96m2FmG7mlKYoAreWBz1PrUTR9c9KtsuKifpwOaQFQx5PQ0hTAqyqE5zTvKZiFVSzHoB1JouBnuuF5q3pumvdTKZIyU7L03fU+lb9j4bVVE95yf+eY/hqeTULeLVYrRBhsenFc1atZWibU6d3qSi3EUY3YyOAB91foKYfSrFw/7vYvWqrgrHx1rzZ6vU64aEE6naeOaqMzfKBVxVYwnf8AeqvjawqUi7j0VgnXmo5T5a7u9S7xUFwdxI9uKaQFf/j4RGBpk0BQEg4wKniO2ML0I9KbMf3LHIz7mmtwexT6DjrSkkAdqiEuVxnn1oUEEHOa9hbHmvckOFOSeB0NG8McgcetRu2e1LuHFMViTJAOOlIOvWmgg8Z5p5X3GKAD72fWnfMBjH40xSM80/cN2aAGjdkk85/SgGnlsY44qMgZ680wHbwO9IZAMcUm0FTSEUgHh8ZNBOR1zTen0o3EUAKGozTC6MOePagHjqKANfg4A6CnggdKhHTORT9rbgP5mqESg0hOahMh47jvTtxyOSBQBJuxn5qTeSCVUlR/dGRQMg47+tPAPPP4UAIoJ5wQPenDqBn8aXjBz260gXOf5UAOx7nNORdoyDTQDSg4HtTAdikPP0ppYnNNLk+3egBxOMdKiL5NKfm+tCxkkk9KQERye+PrTNuSRuNWSihTkZFN2LyR0oApTxXcksXk3KxxhsyZTLP7Z7VYCcHPWptnA4/OmkY7jNIYzaMjoaC+MYP5UuNuSAKaFAwcY9KAH7xwW60kgXbmkGc9DT15HIGaAIiu7A4xnpSGNgu3AA9qsBNwyOopGOFORk0CIBgEBdx+lSKeBmm7kyflKntTQrj5h09aAJA6qeDzTWA/hHJpwC7Rgf8A16QsVwcCgY4E46gH1pRlgcimlgUzjpSK20rt+6aAH7NuMUbscGgF36dO9IVzjigBD83fimvjgBaUqVPGPyppiB5yM/yoERMuG64BphUFiecVKY2LE8051A69aBlUx856VPb3Jt12AHk9euKQqWHSm+Tl1Qnljis6kIzVpDi2nobFrci4UB4yhx128GrUijYQj7D6gZqjaw3SfK7KF6AEZq6FKgfM5PsK8CvCKnodcW2gDeZ8rckf3hio2tlEgfb83uKWaJZVBeMkjkHoVpYVUr8rD5e2c/nWHT3SiMYyd2VP+wKJIIpCPNRZMDgkVI7OgYncxJ4A6iq6sWYpvLOO9OEb+QNlhw6KoTaMDHrWRqH70KrkvKPu4XoK1VVwgyAfoaiKbSNp2nNbUG6crikrqxzZhBbcOAKUqATuIye1Xr638qfK/db5uaqFMjkDHtXv05qcVJHHKNnYaGhGBub6YpwMQU5RifXNMKF+CSSPWjyyp4P4VpsSIUQnOePWlAVTwDRjB5XilIGew9aAASpnBGPeggHnFRlMAd/al3bV64ApAOJ+bsKaW+bHamiVWYbWyPpTmbJ5HPWgBNwJ96jcbjgfhQWz2pBkYG7JPtQMYVGPu0wId2TVgrgcZz3pjqAOOlAhvAPNNZe4JFPIxx0FMIOOvNMCKQZIOPzqMrtJwPmqxjPWk24HJoArEHocZppTJ649asFM9MUmxhjPJoAqmPBIJz9aiMXzZxgVcK49KZhSe2KAKZTOPlH5VE0OQflwtXSe3AqMr83+zQBntGB06UwwuVYjbgdeavOq5yKhK9M0AVcKqnINVnh3An+taDqPzqErgllP4UAZs1rtc9Se/NVHh29M1sbcj3qCVBtz60AYskXHSqsluD1Ga23h6Y4NVpIefpQBgvb47VA0TKQRxtPGO1bzwEnGM1ZtvCWr6kAbexkKk/eYbR+tADdL8XzQqtvq0Zu4V4EwOJV/+KrporiDUrNpdPlW5QdR0dfqtYz/AA+vLWLzb+6ggycBIz5jmnaVo2g2N5FPJrtzDNu+UhfLH03UXsOxettaW1k8qXOwdj95a6GKdJ4w8bBkPQioNU8N2+rQB1fbJj5J4+c/WuEubrWvBtyPtab7Z24kXlH/AMDSsM9GAp+KyNE1+z1yHfbP+8X70R6itkDNNbCADFOC8+1PUUpGCKAEA5pSnengZp4WgCDy8ninxh4nDoxRh3U81JjBp23pQA4XOVxNEsg/vDhqXZC5/cv/AMAf5TTNo9KTywaYEhQr1BH1phGO2BTkaSMbVcgenapBIhGHiU+6/LQIYBgc8U/PGFGTUg8hv4nT6jNSpCH+46N+OKYEITP3sUpHHFTNC6nBWmlAo9qAIgtYusR/6Vbkf89F/nW83FZ98hlTKfeVqQF5l+Y/WkIp8brNCsq/dan+WfTn0pgVwuKXAzU/lMfrUflsOtFgGgUmPyp5Kg8mjcmOM0AN25oxzSgs54FP8hm+9QBESoPXmlUk9OAamECIPWnIBuzjigCMRE9uKeIcDpzVgDIpT6UAVCm0+9N2bjip2HzU4J0460AUyKRYd3bj1q1JCFA9O9Pgtpr1A0I2QZx5p/i/3RUyaW40rlWO1mnk8m3TzJD+Q+proNL01LOMvIFadur/AN32FTwRJY26xBRHu+9g5LH3PepUYsCB0WuWpWvojWMBSQVwQMVimwifUmuCgLr0atWR8KM81FGAqs+Msetc0nc2joVfvORzmmsMKSTUhlWU7IQzynnagzVhdNvpU5iRDj+N/wDCs1SlLZF86RjTzYGBwRVPziSO31rL8T6V8Ql3/wBm2GnvCORJDIXkx/uvgflXmV3H4yuZmivru5tmHBUny62hhZvcl14rY9Zu9XsdOUvfXkECertiuS1L4maNCxSzE124/urtX8zXHweDWmbzLy5aRz1bO41tWnhiwt/+WRkP+1W0cLFbszlXk9i1bePbi+OPs5gz/dG79TW1b3b3qBpC7Dr89UYLNIAAkaIP9kYq9GNoNbRpwjsjNzky+pp4bjAHFVo5eOOakD/UCtCCU8/WnD/OKizSjHTnFAEnOAc8DtS7jnOcUzPHqPejp/8AXoESB/zpwPGQRUQzRnIyM0ATbsCmtKo65qMMQPWjcePWgB6yqfWlJVhwxzUZKsuBTVAoAmJPdqYSw78UmSMnIAFHTGaADJNGR/dNJkjvS5+lAGv5bL1qXaEHOPxFM8xlHX5vfpQzsSM4z7VQh2eO5py4b2NR7iDzxilUuf8AGgCVRwakxwKhGcDJpRxxzQBLuByBk0A5FMU5OAKdz6AUAB5xzTHTcDlzj2p2SSKO/WgBnIwufxpwwfr70FcGjy/TOfWgB6Hmn5z1PSmhcryMmnj0oAYOVOO9Iy5WpAQc+tBZB6YpARnKjPaowe2P0qbcN2M5pj8dDxQMbg454ppAweePWnZJwDjFM2rnGaAF3YpwJ5xjFMC4bJ6U4Mg60AOEmQduPcUmM52kA1GxXueM0hPHy59aACT7wHHHpSHcgDf/AKqQIQ2e9DtngD60CAOFJ9OhFBcDJUn8qYM4YHjiml+eKAJVkJpxlwo45qHqR2NSbeBmgBvmMGB6Z9qli+dySRTQo980cjqePWgZMwGDjJqLDY3Y5FK75OGbBppyf48mgBQQ3Y5+tD4LdckdBTHz1zmmsPlBIK+/rQIU7sn9aYzEHOckVGzhTj5gPek3gjHahoC/bXAZ8SOS3rurTWUA4O5R2btWPbiNl3MygjtirsU8W7ylHmE+gzXk4ugm7xR005dy+24qR2I+8PWkxtAymT7DFRiSRVwEREHTJz/KmZnlIH2jaf7qrivP5PM1JnAbqhUY5cniq6CKNseZgGrRjidCH+YHruOaRiCv7tFIHTHArPmWwylHi0m4Z/JkOMn7qt/9epJFeTKrtDdgTk0s8L3EJDsduPux8ZP1qvbmQrs2FHQfMw6tWyV1zdREVzb3LKEcbhngis7DICCOf5Vuus0xG6RlX/ZwCP8AGs7UbNbZVeJpGz94k816WEr2tCRhUh1KZZSp9fSm7tnU5prPkBf6UzHOTxXpGA9nXHbFKUOMg00Lj72MH0p0Z3YBpAIFI4NReWiv0PHrU2M8AYpChzjtTAYY1ONvH4UzawBBBNS/dAyDwaTGeB0pAQiLJ3AkGnLF78+9S5B4I4FB6H1pgRleBg80wqFJ71Jt9yCaQ8n7o3etICLBJ68UjdcDrU3l8Z4P0phI3DK0wICGC+9B5GTUxxkjGRTCM+lADNyhhxxTCFweoqVgAOlNAB+tAEWOATioygHQcVMVzk0zYe657UAV2XPA6UzqwGKtGLBHXH1pjRnI45oArDKE9geDz1qN0xnuKtMMrtOOvaoyvO4jNAFJowRkfrUTwkYOPp7VdePAx0qMrwN1AFJo8detPtbCS/u47aHYHc/LuOBUzrk56060V0uEkSURyLyDjNJ6DR0Vt8Opjze3ixkHlIkyfzrWt/AuiwYLW7zOOrSv/QVQsfF91p9w0d3GJrULuLD+H6jqv8veuwsNSsNVRXtZQSwztzz/AJ+lEZpjlBoo2+kWFpjyLWCP/cjFWWhUDFXni2k8VBIVjUl+BWhBxXjO1mitoL22i82aNtu31U9fx4rm7+ytLoExwqR1ZSvOfcV6FroR9LLqA6q479a5G5CGZcwsQowXxyv1rkr6SOiGqOMfSLqGYtplzcWkoP8ABIQv5USeIfE2nKU1jSI9RtSOZFjxke/au28kfKfUYyKkZJEgRo2Kup/h/i9qmNVoUoHlYHhq/n+1aXfzaDf5yElBMWfqOldTp/ia909FTX4AYTwupWp8yFv97HSu6u/B3h/xPFE9zYQq8keS0Xyup99v9a5XU/g5eacWufDutSQD/njJ0b2OOD+IreNRPcjlZ0MEsVzAk0EiSQt92RDkH8aeUzXl8lh438KXD3J0ohf4ntV/dt/vIOP5V0OgfEnS9QZbXUx/Z12OD5h/dsfr2/GrTTJsdmiknpT9lSIFeMSIQyN0ZeQacFOeadmIhIzQBUxiyc0hSgBuKTbmpNpHv9KMYHT8aQxoXpTgnHTmhCCamH50xEe3HbmjaBUmAadsz60DIgOeCR9KcRIVxk4+tSBccipAfcY96BFLyXPHP501oypK461ogZ5pjrkg0DKSRsgO3Iz6UqNcb2DFsdj61a2YpxTikBWO/PU0uzjnNSmMlqUoCKYEIQDtmnBQW6VJsB6UoH50AIFPGKfyaUDFBODTAQrkYpwUY5oBpepGKQCg4pwG6k28+1KZQjBeWY9FUZJ/CgQFBuqK6vbazCieVFZ/uJnlvpVyHSdVvjlVWyiPVpRuc/Re341o2/g7SIiXnhN3K33pJzuJoYzI8mCBVn1eaKJSRstt4/8AH/X6VbttR09roO92shA2okUbFV/IYrah8P6VA+9LCAHtlc1oJEka4RFUeijFZODe7K5kY3+sOUikfPT5DUkVlctuO1Uz2Y/4Vr4o6VKoR6h7RmUdIeTHm3JC+ka4/WrMemWqAAoXx/fOau0VapxXQXNJjI4o4lxHGiD/AGVxT8D0ozSZrS1iRNo/ujNQT2sFwpFxbxSr6SKGqzSFQetAHO3PgzQ7l9/2cwk/88X2j8qqP8P9KIPlz3Kn/eB/pXW4FL0pDOEn+HpBJt78ewkT/CqE/gjVYc7PKl/3Xx/OvSSelJj6UWC55LNoGp2+fMsZ+O6rn+VVGidGw25SOoIr12ee3tgWknSMDrubFY134l0NEJMsVwf7oXdQB5yAe5qVX/CtrU9a07UomS00uKKTtIevsflrGCsPfHU0rjsG7cOnNODDFMK5PTik2nFAMl3nAzzSA00DFKPpQIUE0uduPWk6dqXGR1oAToCQOaBnknrTs+9HBzQAmR1oJ4o6cY4pGABoAaHPpS5HvSBTS4oA3c7h04/Og4JOBgY9elRbuPenrnHoKdhCgqBnBJp2c+oFMKkZ/nUgjzjk4pgNwDjJz9KkQU4IFANLkD1oAUBcnHWjdztJpASe2KU5POaAHbsfSmnk+9Ieec0mOc9qAHqDnpUoAAHUmmKQFPJpCW3e1AEhOCP1pu7160mCysQD8vXjpTc4GQKQASc+wpuSTSjkZzTfvE8cUAL/AMCphG4gsTmnjr+tNJyx/wAaAEAHJ9Pel3eoGPrSkZP49qTCE7QSGNACbshtoY1EFJUAZ5p/luh6cetKAT0OTTAjCgHHr7U7C8jPsMUFfmyzUmSG+4PzpAGSvT8TSnaR6mlLHj5ajJ+YAjAoGOJIzzyR09ah9TjAqTAOcj/69I2Dx0UdKYiMnoRUoct/FgUzGR1waYQcEHp65pATo2T94fjSsAVyMD1xUaZwB396NzZHJ4psAztxzk1Iq7lBOMU0DJ3E05cqfXikAM3B54PpUZQMc1MV3c4UewpAiZOBmgCILkbabt29PzqZ9rN3zUDDHAyCT60AMIx3q7p8cbs28Fj25qmzKvykfrWrZIssfmDywf8AZHSubFS5aZpTXvFwRbscAAU8EbsjBOe1HkFk++yN/eFPSEoo6k/3vWvnpJdzsuCMjZx95eopQCV3cAduOlJtQHvk+lVxNEWZkz5mcYGeaI0nPYTdiZzhc7efYZquJd7yRoCHHUkUxr9IVbzshv7oyf1psd/bO+Sdje9aRw81F6C5kW3Qqi88io3g86F42Izj71OPlu4k2g+hqNnWVmCvyOoog5X0Huc5JGVkZWByvB4poXJPyn0rW1K0AxMh3H+LjpWcWwRgfrX0FCoqkLnHONmMCMrdDmngADjpSqSV9qTHfv8AWtiCQN8uKaVzn19KOoAHU0hIAwc59qQCEZ68HtTSNvTg+pp5wSOtNxweTketAEYAOck570uCMbKcBjOeTjvTux4NPcCIRkjrz70gQhuamCZyT096QjGeBQAwrzUezJqXIGR2ppbnGKNgItgX1owD6VLkNkAVDPCk0ZR920/3Tg0AMOSKQj5ec5qRUWNFRVwFGAM0pXIzQBAeFwe9IOc81KVB6/nTfLXHQGgCM8ioyuee9WNuB7U0oSaAKpUd8DFNC4PXirbRZPSmGIbSe9AFQxZ9jjuajKHnPTrVxiB1B+tQkZIPSgCuvlqTvQsNp6HHPaoGRWBU9DVt+eR2qB0wc4oGitE81tgI/mJ/ckJ4+jdRUttqIjm3wu1rOONrHGT7Y6/UYPvTSuMnpUUkSSRFXRWQ8YPNQ4plKbR2mk+M5I2W3vUd1A+82N3v0612VtcW+oQ+ZA4Za8QMbxpiFwI1XHkyZKfh3H8vatnQPF0ei6nC179phgzh32b1Hr8w/rTTkgdmeka7b50i4+XkYb8jXB5/09vMOEIyB29K9Niv9J8SaTK+nXkFxHLGQDG2SMj0rzy8t1V8AAliMZ7VlX1KpMigYNkg8Z6HtV0LuYZPB61k2lw8WpS2cqFEAV4ZD/F2I+oNaxIIJXH4Vy6mxsaFKkUckLfeVuD3Nbn2ksCvGR1rmtObMm0H5igY/wCfyrSw+3IbApSmwUS3NI2OVBT3rn9Y8M6PrSML3TbaQkfe8vDfn1rWeVioBbI7iiNfNxxgVKnJDsjjI/AU+iqJPDeuXFpk/wDHrdDz4fy6ipzqOp2DrHqumEDvc2Z82P8AEdVrs5YcLlW/WoljjTvzW0cRJEOmmYUN3Dcx77eVJB/sHOKmU7hzxVqXSLK4fzniCyj+NPlYfiKrnSriPP2WcyKOdsv+NdEa8XuZOmxO44zShelVXkuIAxnhkUjvH81SJeoVGHDZ6jvWqkmRysmxzinDj6VGrYAbtUocFR0qgF3Y4NKCAvvSrg84p20E0ACrxxShN30oGQakUYoAaOgHalKk9KlCD0FD/WgCFkIxShCaftzzSthV5oAjK8U0jNOBzk9qaxAFABnApKZ5u5hjpSknHyjJPpQId0FMZsZq3b6Xf3IyluVX1f5avR+GJmbM9wFHogoAxhIBgtwKt20E1022CF398YA/Gugt9EsbbBEAdh/FJ81aAXaoA6elOwGTbaECM3b5yPuR9PzrXgtYLZQsMSpj0HNHSgk9jSAmoqEZ/vGl5HegCXPvSZqMYH1pRgmgBSxGe1AfgZ4zSfNioJZD/DNGvscUAWC20fM6imb34yePYVkTajpcbbbm6iLD0fP8qrv4l0S2bC3Lk5xhEP8AWjQDoBIemM/jQZ0DbTkfhXIXPjrTYwogtpZGYgAyfKMn86wL34gxgjzLmytVIz1Bb9T/AEpXQ1FnqIdSOCKja4RPvsF+pxXhtz8V4omKDUriXB/5d04x39K5q/8AiPc3cu6G0kdiPvyyZOfX/JqXNFqmz6HuvEel2mQ9yHYdRH838qx7nx3ZxlvKt5HCjJZmAH9TXz/LrXiXVGHlKLdOMbE6Y/3qfb+FNd1TAubi4ZDzyxI/XiodZItUWetX/wASzbHdJeWdupJXHBI4z68/lXFap8Wp7pjHA17OP9n92vvUOn/DWJMG5cCumtPB2l6epcwj5c5Z8IOPrWTrN7FqjFbnEv4l8Q6q+LWzSJWzy4LH+laum6V4nnlE093t5zymBW7N4i0HS28q2/0ufIBisY9+PXLdKoTeJtenbFnp9taR9N9w+9z/AMBHFCjUmPmpwOig0/y7ctdyeYVGT5Q5qvdxrBcGNCCB3zmueX+2J5xNdarMwxjyoRsT3461pRs4A3c+9awg4mE58xZDEU/eCfeoVdSw3KcelPDccVoQS5pduOlRqfyp6nnigBdtH4UvNKBkUAINm09jTcA4GcEU/wAscnPNKsfPagCPaT9KULUuz8KNu09aAGAdOKdg+lPC+gowaAL4BGOnSnq/r+lFFUxDwAWAPU0/OMgdqKKADdkZ6U7bjrRRQA3+KmvNjgDmiigBQ2Uz60FyFzRRQAquakJ2/jRRSAaTyMZyaTdtOO9FFADsjnB7c8UmcL3xRRQAnBHTmkZQF3d80UUAAy2RTc/KCPXvRRQA4HemOR7UFcd6KKAI32BgSmSfelaNQobvRRQA0kttXPFKV5GaKKAAfd5A596MYwQBzRRQMQLuOOg/lTCoVznmiigQowWGABxTlTeC2elFFNgOACdOfY0/PGcY55oopAHUChkC8jr60UUARPkr/u1EQOMjJNFFAEPG/BH0rW05lktmQg7kOc+uaKK5cX/DNKW5oxYGepB/SpHYAck4HPFFFeFUXvHUihM1xOp2siITjAJzTo9PMa4eTORkhRgGiiu2Pu09CHuXHRJEEbxI8YHCt0FZNzZxQxvMFGN+0JjiiiohUktEwaRKiPDISGxEDt2A1bDBjt54GetFFTX+IcQaJXUhiTuHNc7JAEkZQeQaKK6sC3zNGdYZgAgDNOQAnB6CiivVOceiAkE8gdqcI90mA2Me1FFADATuLcZ7VGAdxIJ96KKAFK8bj0pWJwAO/WiigBuDnqcUhYg0UUgEPqOopFAJJGQRRRTABkjP60pU9zRRSAaQCec0xgBweSKKKYCbRu4J/KkbAPT8aKKAGlRt3ED86YX3HGOaKKAGnIPJppXJxRRQBFt3HA4x1proB0oooAjKDGffFMChgT6UUUARNGvNRmMDjpiiigZCFwG9zTCnOOOmPwoopAVDYiC8+1WMslncjkywNt3euR3rsppvMt45GGSWwaKKxrdDSBVfc6+VIxY5BB9Ktw8IAMduaKK5maomsbk214CFzuDL/WtwyscEYANFFRMqJGyHz8FuRzTkRiCN5BJB4oorMstKq7B97I96hH+t2/nRRSEWI1XAQirCIAOKKKtEsNqspyox6VQubC3uAd0KZxnp+tFFUm09BGVc6TJ8vkXssOexAkU/geR+Brm9a1nUvDAMl1b2l1bf3onaN/8Avkgj9aKK64SZlJIl0Xx5peqIAlveRt6Mqkf+hV11uouI96dP9qiiulbGTJCmzHNNjjBZjuNFFAiUDmkccUUUAMA9KjJMrBV/M0UUAX7fRbqYgebEoP1NXk8Lwk/vrmRz6KABRRQBdh0LToukG4/7ZJq7HbQQ/wCriRPovNFFAEpUdaNtFFADSMUmKKKYDcZNLiiihbgxePSq15fQ2Ue+VHI/2QKKKQI5u48YsrkQWa7QM5dufy/CsibxdqM21IZtjEk5CBeByfXtRRUSbKRh6l4yuYLXddT3T/Jv+VvcjGAR6Vxd78QrZZCsNnPJk5/eMFyvfPXmiipZaSM2b4hX75MVpDGd5JyzNn0BHA4rKn8Va3cbmF2IsqEPlKFJA569T65oopM0SRTkmvtScm4vJpmJyTJITz0q7beHS4y8yqDydoyaKKhlROj03wTBNgs6sp/vf4CursvCGn2o5G/6Db/KiiuWUnc6IxVjbsNMtySba3iUqPvNwePzqXUtQtNHQTSrNIoI+RFAB+XPPOevvRRWtOKMJyZhx+ItRu4zJZQ2tpEy43MDI5B59ue9ZtxYSX7t/aV1LekEkiVvl/75HFFFdcVocjbLUNrCkIVEVVXgBRip1t1GSOnpRRVAPVAKkCjHAoooAPLHXtQBgUUUAPAHpTwKKKQDgx79KASaKKAHKctTjxnFFFMACHPWkJCkDnmiikALyOp4qTZmiigD/9k=\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA tubesheet is a metal plate used to hold multiple tubes in place in a shell-and-tube heat exchanger. In any industrial plant, heat exchangers are used to transfer heat from one stream to another, such as for cooling or heating.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 104px; 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 52px; text-align: left; transform-origin: 384px 52px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIn this problem, you are given the diameter D of a metal plate which is a perfect circle. We need to punch holes in this plate where the tubes can fit in. This is done by placing the plate on a 2-D coordinate system where the center of the circle lies in the origin. As seen in the figure below, the coordinate system can be imagined as being made of square cells.\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eA hole can be punched in a square cell if and only if it lies completely inside the circular metal plate\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Can you help count the number of holes we can punch, given the plate's diameter?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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: 297px; 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 148.5px; text-align: left; transform-origin: 384px 148.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"557\" height=\"297\" style=\"vertical-align: middle;width: 557px;height: 297px\" 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data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that accepts a floating-point value, D. Output the maximum number of holes that can be punched on a plate of diameter D. You are ensured that 1 \u0026lt;= D \u0026lt;= 50.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIn the examples above, we can see that we can punch 16 holes when D = 6, and 60 holes when D = 10.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = tubesheet(D)\r\n y = D;\r\nend","test_suite":"%%\r\nassert(isequal(tubesheet(17.89),216))\r\n%%\r\nassert(isequal(tubesheet(17.88),208))\r\n%%\r\nassert(isequal(tubesheet(7.82),32))\r\n%%\r\nassert(isequal(tubesheet(12.32),96))\r\n%%\r\nassert(isequal(tubesheet(19.79),264))\r\n%%\r\nassert(isequal(tubesheet(19.99),268))\r\n%%\r\nassert(isequal(tubesheet(20.00),276))\r\n%%\r\nassert(isequal(tubesheet(6.33),24))\r\n%%\r\nassert(isequal(tubesheet(29.77),640))\r\n%%\r\nassert(isequal(tubesheet(11.18),76))\r\n%%\r\nassert(isequal(tubesheet(15.76),164))\r\n%%\r\nassert(isequal(tubesheet(24.08),392))\r\n%%\r\nassert(isequal(tubesheet(12.29),96))\r\n%%\r\nassert(isequal(tubesheet(42.37),1320))\r\n%%\r\nassert(isequal(tubesheet(10.54),68))\r\n%%\r\nassert(isequal(tubesheet(12.07),88))\r\n%%\r\nassert(isequal(tubesheet(9.36),52))\r\n%%\r\nassert(isequal(tubesheet(12.16),88))\r\n%%\r\nassert(isequal(tubesheet(22.35),340))\r\n%%\r\nassert(isequal(tubesheet(16.24),180))\r\n%%\r\nassert(isequal(tubesheet(46.25),1592))\r\n%%\r\nassert(isequal(tubesheet(22.08),332))\r\n%%\r\nassert(isequal(tubesheet(10.06),60))\r\n%%\r\nassert(isequal(tubesheet(45.34),1520))\r\n%%\r\nassert(isequal(tubesheet(49.01),1788))\r\n%%\r\nassert(isequal(tubesheet(22.50),356))\r\n%%\r\nassert(isequal(tubesheet(6.44),24))\r\n%%\r\nassert(isequal(tubesheet(13.65),120))\r\n%%\r\nassert(isequal(tubesheet(21.03),308))\r\n%%\r\nassert(isequal(tubesheet(30.15),656))\r\n%%\r\nassert(isequal(tubesheet(13.85),120))\r\n%%\r\nassert(isequal(tubesheet(30.54),680))\r\n%%\r\nassert(isequal(tubesheet(35.85),936))\r\n%%\r\nassert(isequal(tubesheet(11.87),88))\r\n%%\r\nassert(isequal(tubesheet(6.75),24))\r\n%%\r\nassert(isequal(tubesheet(15.54),156))\r\n%%\r\nassert(isequal(tubesheet(16.62),188))\r\n%%\r\nassert(isequal(tubesheet(21.78),332))\r\n%%\r\nassert(isequal(tubesheet(25.89),468))\r\n%%\r\nassert(isequal(tubesheet(5.19),12))\r\n%%\r\nassert(isequal(tubesheet(13.86),120))\r\n%%\r\nassert(isequal(tubesheet(40.25),1200))\r\n%%\r\nassert(isequal(tubesheet(2.43),0))\r\n%%\r\nassert(isequal(tubesheet(46.51),1600))\r\n%%\r\nassert(isequal(tubesheet(36.79),996))\r\n%%\r\nassert(isequal(tubesheet(24.94),440))\r\n%%\r\nassert(isequal(tubesheet(29.35),616))\r\n%%\r\nassert(isequal(tubesheet(12.63),96))\r\n%%\r\nassert(isequal(tubesheet(23.48),392))\r\n%%\r\nassert(isequal(tubesheet(48.19),1732))\r\n%%\r\nassert(isequal(tubesheet(27.79),548))\r\n%%\r\nassert(isequal(tubesheet(26.54),500))\r\n%%\r\nassert(isequal(tubesheet(12.35),96))\r\n%%\r\nassert(isequal(tubesheet(24.96),440))\r\n%%\r\nassert(isequal(tubesheet(31.58),716))\r\n%%\r\nassert(isequal(tubesheet(34.28),864))\r\n%%\r\nassert(isequal(tubesheet(20.38),284))\r\n%%\r\nassert(isequal(tubesheet(19.00),256))\r\n%%\r\nassert(isequal(tubesheet(49.41),1820))\r\n%%\r\nassert(isequal(tubesheet(2.85),4))\r\n%%\r\nassert(isequal(tubesheet(44.37),1460))\r\n%%\r\nassert(isequal(tubesheet(45.75),1560))\r\n%%\r\nassert(isequal(tubesheet(40.01),1176))\r\n%%\r\nassert(isequal(tubesheet(5.84),16))\r\n%%\r\nassert(isequal(tubesheet(13.83),120))\r\n%%\r\nassert(isequal(tubesheet(17.43),208))\r\n%%\r\nassert(isequal(tubesheet(34.31),864))\r\n%%\r\nassert(isequal(tubesheet(7.69),32))\r\n%%\r\nassert(isequal(tubesheet(36.34),968))\r\n%%\r\nassert(isequal(tubesheet(6.23),16))\r\n%%\r\nassert(isequal(tubesheet(33.03),796))\r\n%%\r\nassert(isequal(tubesheet(25.21),448))\r\n%%\r\nassert(isequal(tubesheet(39.17),1124))\r\n%%\r\nassert(isequal(tubesheet(36.04),936))\r\n%%\r\nassert(isequal(tubesheet(45.28),1520))\r\n%%\r\nassert(isequal(tubesheet(44.66),1476))\r\n%%\r\nassert(isequal(tubesheet(17.37),208))\r\n%%\r\nassert(isequal(tubesheet(35.24),904))\r\n%%\r\nassert(isequal(tubesheet(10.69),68))\r\n%%\r\nassert(isequal(tubesheet(2.50),0))\r\n%%\r\nassert(isequal(tubesheet(37.46),1028))\r\n%%\r\nassert(isequal(tubesheet(25.50),460))\r\n%%\r\nassert(isequal(tubesheet(24.52),432))\r\n%%\r\nassert(isequal(tubesheet(45.33),1520))\r\n%%\r\nassert(isequal(tubesheet(30.88),688))\r\n%%\r\nassert(isequal(tubesheet(31.27),708))\r\n%%\r\nassert(isequal(tubesheet(43.11),1380))\r\n%%\r\nassert(isequal(tubesheet(40.47),1208))\r\n%%\r\nassert(isequal(tubesheet(29.26),616))\r\n%%\r\nassert(isequal(tubesheet(9.96),52))\r\n%%\r\nassert(isequal(tubesheet(12.76),104))\r\n%%\r\nassert(isequal(tubesheet(44.44),1476))\r\n%%\r\nassert(isequal(tubesheet(2.41),0))\r\n%%\r\nassert(isequal(tubesheet(25.01),440))\r\n%%\r\nassert(isequal(tubesheet(9.23),52))\r\n%%\r\nassert(isequal(tubesheet(48.96),1788))\r\n%%\r\nassert(isequal(tubesheet(35.92),936))\r\n%%\r\nassert(isequal(tubesheet(25.52),460))\r\n%%\r\nassert(isequal(tubesheet(24.08),392))\r\n%%\r\nassert(isequal(tubesheet(3.92),4))\r\n%%\r\nassert(isequal(tubesheet(34.42),872))\r\n%%\r\nassert(isequal(tubesheet(3.08),4))\r\n%%\r\nassert(isequal(tubesheet(4.50),12))\r\n%%\r\nassert(isequal(tubesheet(26.56),500))\r\n%%\r\nassert(isequal(tubesheet(5.74),16))\r\n%%\r\nassert(isequal(tubesheet(41.09),1240))\r\n%%\r\nassert(isequal(tubesheet(41.06),1240))\r\n%%\r\nassert(isequal(tubesheet(36.40),968))\r\n","published":true,"deleted":false,"likes_count":4,"comments_count":3,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":63,"test_suite_updated_at":"2020-03-27T21:10:13.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-27T18:48:08.000Z","updated_at":"2026-03-31T14:25:24.000Z","published_at":"2020-03-27T20:39:34.000Z","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=\\\"center\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"-1\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA tubesheet is a metal plate used to hold multiple tubes in place in a shell-and-tube heat exchanger. In any industrial plant, heat exchangers are used to transfer heat from one stream to another, such as for cooling or heating.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn this problem, you are given the diameter D of a metal plate which is a perfect circle. We need to punch holes in this plate where the tubes can fit in. This is done by placing the plate on a 2-D coordinate system where the center of the circle lies in the origin. As seen in the figure below, the coordinate system can be imagined as being made of square cells.\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eA hole can be punched in a square cell if and only if it lies completely inside the circular metal plate\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Can you help count the number of holes we can punch, given the plate's diameter?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"297\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"557\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"middle\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts a floating-point value, D. Output the maximum number of holes that can be punched on a plate of diameter D. You are ensured that 1 \u0026lt;= D \u0026lt;= 50.\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 the examples above, we can see that we can punch 16 holes when D = 6, and 60 holes when D = 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\",\"relationship\":null},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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the effects of a blockage in a chemical plant","description":"From the perspective of flow, a chemical plant can be described by a collection of _nodes_ and _edges_. _Nodes_ are points where multiple flows meet, such as mixing points, splitting points, or plant equipment that process the flows, whereas _edges_ are the pipe connections between the _nodes_.\r\n\r\nFor a chemical plant with _N_ nodes, we can use an _adjacency matrix_ of size _N_ x _N_ to represent the topology. For any adjacency matrix *M*,\r\n\r\n M(i,j) = 1, if a pipe connection exists between Node i and Node j;\r\n = 0, otherwise.\r\n\r\n*M* is always a symmetric matrix because if a pipe exists from Node _i_ to Node _j_, then the same pipe exists from Node _j_ to Node _i_. Also, elements in the diagonal are always zero since a node cannot connect to itself. Not shown in matrix *M* are the edges that connect the plant to the outside world. Here, we will simply assume that these edges exist to provide continuous flow to all the nodes.\r\n\r\nHowever, the plant does not need to be fully connected; some nodes may be unreachable from other nodes by piping. Hence, if the flow was suddenly blocked inside the equipment at Node *P*, then it may affect only the nodes reachable from *P*. _The effect of blockage can propagate from one node to another node if and only if there exists a series of piping that connects them (i.e., blockage effects have no regard for the direction of flow in a pipe)_. \r\n\r\nGiven an adjacency matrix *M* and the value of *P*, can you tell how much of the plant may be affected when a blockage occurs at Node *P*? Write a function that accepts variables *M* and *P*. You are ensured that 2 \u003c= _N_ \u003c= 30, and 1 \u003c= *P* \u003c= _N_. Output a string (with no newline characters) with the format:\r\n\r\n Node P blocked! It may affect X% of the plant.\r\n\r\nwhere |P| is the given value of *P* and |X| is a floating-point number rounded to 2 decimal places, which is computed as the \"number of affected nodes\" divided by the \"total number of nodes\", and given as a percentage. Note that if Node *P* happens to be isolated from all other nodes, then there is exactly 1 affected node.\r\n\r\nSee sample test cases:\r\n\r\n \u003e\u003e M = [0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0\r\n 1 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 1 1 0 0 0 0\r\n 0 0 1 1 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 0 1\r\n 0 1 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 1 0 0 0 0];\r\n\u003e\u003e propagate_blockage(M,2)\r\nans = \r\n 'Node 2 blocked! It may affect 40.00% of the plant.'\r\n\u003e\u003e M = [0 1 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 1 0 1 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 1 0 1 0\r\n 0 0 1 0 0 0 0 1 0 1\r\n 0 0 0 0 0 0 0 0 1 0];\r\n\u003e\u003e propagate_blockage(M,4)\r\nans = \r\n 'Node 4 blocked! It may affect 30.00% of the plant.'\r\n\r\nFor a visualization of the above cases, see figure here: \u003chttps://drive.google.com/open?id=1g63o4tvoF_89fNKuoCOs2YzfezktjD3Z\u003e\r\n\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1465.4px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 732.7px; transform-origin: 407px 732.7px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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=\"\"\u003eFrom the perspective of flow, a chemical plant can be described by a collection 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003enodes\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eedges\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eNodes\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are points where multiple flows meet, such as mixing points, splitting points, or plant equipment that process the flows, whereas\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eedges\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are the pipe connections between the\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003enodes\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; 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 a chemical plant with\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e nodes, we can use an\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eadjacency matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of size\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e x\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e to represent the topology. For any adjacency matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eM\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e,\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 40px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 20px; transform-origin: 404px 20px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eM(i,j) = 1, \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(14, 0, 255); border-block-start-color: rgb(14, 0, 255); border-bottom-color: rgb(14, 0, 255); border-inline-end-color: rgb(14, 0, 255); border-inline-start-color: rgb(14, 0, 255); border-left-color: rgb(14, 0, 255); border-right-color: rgb(14, 0, 255); border-top-color: rgb(14, 0, 255); caret-color: rgb(14, 0, 255); color: rgb(14, 0, 255); column-rule-color: rgb(14, 0, 255); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(14, 0, 255); text-decoration: none; text-decoration-color: rgb(14, 0, 255); \"\u003eif \u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ea pipe \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); \"\u003econnection exists between Node i and Node j\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e = 0, \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(14, 0, 255); border-block-start-color: rgb(14, 0, 255); border-bottom-color: rgb(14, 0, 255); border-inline-end-color: rgb(14, 0, 255); border-inline-start-color: rgb(14, 0, 255); border-left-color: rgb(14, 0, 255); border-right-color: rgb(14, 0, 255); border-top-color: rgb(14, 0, 255); caret-color: rgb(14, 0, 255); color: rgb(14, 0, 255); column-rule-color: rgb(14, 0, 255); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(14, 0, 255); text-decoration: none; text-decoration-color: rgb(14, 0, 255); \"\u003eotherwise\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 41.6px; text-align: left; transform-origin: 384px 41.6px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eM\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is always a symmetric matrix because if a pipe exists from Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e to Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-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; \"\u003e\u003cspan style=\"\"\u003e, then the same pipe exists from Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-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; \"\u003e\u003cspan style=\"\"\u003e to Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Also, elements in the diagonal are always zero since a node cannot connect to itself. Not shown in matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eM\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are the edges that connect the plant to the outside world. Here, we will simply assume that these edges exist to provide continuous flow to all the nodes.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; 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 41.6px; text-align: left; transform-origin: 384px 41.6px; 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=\"\"\u003eHowever, the plant does not need to be fully connected; some nodes may be unreachable from other nodes by piping. Hence, if the flow was suddenly blocked inside the equipment at Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, then it may affect only the nodes reachable from\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eThe effect of blockage can propagate from one node to another node if and only if there exists a series of piping that connects them (i.e., blockage effects have no regard for the direction of flow in a pipe)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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=\"\"\u003eGiven an adjacency matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eM\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and the value 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, can you tell how much of the plant may be affected when a blockage occurs at Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e? Write a function that accepts variables\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eM\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. You are ensured that 2 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 30, and 1 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Output a string (with no newline characters) with the format:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10px; transform-origin: 404px 10px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eNode \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); \"\u003eP blocked! It may affect X\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(2, 128, 9); border-block-start-color: rgb(2, 128, 9); border-bottom-color: rgb(2, 128, 9); border-inline-end-color: rgb(2, 128, 9); border-inline-start-color: rgb(2, 128, 9); border-left-color: rgb(2, 128, 9); border-right-color: rgb(2, 128, 9); border-top-color: rgb(2, 128, 9); caret-color: rgb(2, 128, 9); color: rgb(2, 128, 9); column-rule-color: rgb(2, 128, 9); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(2, 128, 9); text-decoration: none; text-decoration-color: rgb(2, 128, 9); \"\u003e% of the plant.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003ewhere\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is the given value 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is a floating-point number rounded to 2 decimal places, which is computed as the \"number of affected nodes\" divided by the \"total number of nodes\", and given as a percentage. Note that if Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e happens to be isolated from all other nodes, then there is exactly 1 affected node.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eSee sample test cases:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 520px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 260px; transform-origin: 404px 260px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; M = [0 0 1 0 0 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 1 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 1 0 0 0 1 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 1 1 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 1 1 0 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 1 0 0 0 0 0 1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 1 0 0 0 0 0 1 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 1 0 1 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 0 1 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 1 0 0 0 0];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; propagate_blockage(M,2)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); \"\u003e'Node 2 blocked! It may affect 40.00% of the plant.'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; M = [0 1 0 0 0 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 1 0 0 0 0 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 0 0 1 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 1 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 1 0 1 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 1 0 0 0 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 0 1 0 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 1 0 1 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 1 0 0 0 0 1 0 1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 0 0 0 0 0 0 1 0];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; propagate_blockage(M,4)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); text-decoration: none; text-decoration-color: rgb(170, 4, 249); \"\u003e'Node 4 blocked! It may affect 30.00% of the plant.'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor a visualization of the above cases, see the following figure:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 343.6px; 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 171.8px; text-align: left; transform-origin: 384px 171.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"600\" height=\"338\" style=\"vertical-align: baseline;width: 600px;height: 338px\" 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data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = propagate_blockage(M,P)\r\n y = '';\r\nend","test_suite":"%%\r\nM = [0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0\r\n 1 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 1 1 0 0 0 0\r\n 0 0 1 1 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 0 1\r\n 0 1 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 1 0 0 0 0];\r\ny_correct = 'Node 2 blocked! It may affect 40.00% of the plant.';\r\nassert(isequal(propagate_blockage(M,2),y_correct))\r\n%%\r\ny_correct = 'Node 4 blocked! It may affect 16.67% of the plant.';\r\nassert(isequal(propagate_blockage(zeros(6),4),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0\r\n 1 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0\r\n 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0];\r\ny_correct = 'Node 14 blocked! It may affect 93.75% of the plant.';\r\nassert(isequal(propagate_blockage(M,14),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\ny_correct = 'Node 18 blocked! It may affect 5.56% of the plant.';\r\nassert(isequal(propagate_blockage(M,18),y_correct))\r\n%%\r\nM = [ 0 1 0 0 0 1 0 0 0 0 0 0 0 1\r\n 1 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 1 1 0 0\r\n 0 0 0 0 0 0 0 0 0 1 0 0 0 1\r\n 0 1 0 0 0 0 0 0 0 1 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 1 0 0 0 0 0 0 0 1 0 1 0 0 0];\r\ny_correct = 'Node 2 blocked! It may affect 64.29% of the plant.';\r\nassert(isequal(propagate_blockage(M,2),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\ny_correct = 'Node 13 blocked! It may affect 80.00% of the plant.';\r\nassert(isequal(propagate_blockage(M,13),y_correct))\r\n%%\r\nM = [ 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1 0 1 0 1 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 1 0\r\n 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0\r\n 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0];\r\ny_correct = 'Node 14 blocked! It may affect 95.45% of the plant.';\r\nassert(isequal(propagate_blockage(M,14),y_correct))\r\n%%\r\nM = [ 0 1 0 0 0 1 0\r\n 1 0 0 0 0 1 0\r\n 0 0 0 0 0 1 1\r\n 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0\r\n 1 1 1 0 0 0 0\r\n 0 0 1 0 0 0 0];\r\ny_correct = 'Node 2 blocked! It may affect 71.43% of the plant.';\r\nassert(isequal(propagate_blockage(M,2),y_correct))\r\n%%\r\nM = [ 0 1 1 0 1 0 0 0\r\n 1 0 0 0 0 0 0 0\r\n 1 0 0 1 0 0 1 0\r\n 0 0 1 0 1 0 0 1\r\n 1 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 1 0\r\n 0 0 1 0 0 1 0 1\r\n 0 0 0 1 0 0 1 0];\r\ny_correct = 'Node 6 blocked! It may affect 100.00% of the plant.';\r\nassert(isequal(propagate_blockage(M,6),y_correct))\r\n%%\r\nM = [ 0 0 0 1 0 0 1\r\n 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 1\r\n 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 1\r\n 1 0 0 1 0 1 0];\r\n y_correct = 'Node 1 blocked! It may affect 57.14% of the plant.';\r\n assert(isequal(propagate_blockage(M,1),y_correct))\r\n %%\r\n M = [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\n y_correct = 'Node 11 blocked! It may affect 45.45% of the plant.';\r\n assert(isequal(propagate_blockage(M,11),y_correct))\r\n %%\r\n M = [ 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 1\r\n 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0];\r\ny_correct = 'Node 6 blocked! It may affect 9.09% of the plant.';\r\nassert(isequal(propagate_blockage(M,6),y_correct))\r\ny_correct = 'Node 1 blocked! It may affect 18.18% of the plant.';\r\nassert(isequal(propagate_blockage(M,1),y_correct))\r\ny_correct = 'Node 2 blocked! It may affect 50.00% of the plant.';\r\nassert(isequal(propagate_blockage(M,2),y_correct))\r\ny_correct = 'Node 3 blocked! It may affect 4.55% of the plant.';\r\nassert(isequal(propagate_blockage(M,3),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1\r\n 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0\r\n 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1\r\n 1 0 0 0 1 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0];\r\ny_correct = 'Node 11 blocked! It may affect 90.91% of the plant.';\r\nassert(isequal(propagate_blockage(M,11),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 0 1 1 0 0 0 1 0 0\r\n 0 0 0 0 0 0 1 1 1 0 0 1 1 0\r\n 0 0 0 1 0 1 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0\r\n 1 1 0 0 1 0 0 0 0 1 0 0 1 0\r\n 1 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0\r\n 1 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\ny_correct = 'Node 4 blocked! It may affect 21.43% of the plant.';\r\nassert(isequal(propagate_blockage(M,4),y_correct))\r\ny_correct = 'Node 14 blocked! It may affect 7.14% of the plant.';\r\nassert(isequal(propagate_blockage(M,14),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\ny_correct = 'Node 5 blocked! It may affect 33.33% of the plant.';\r\nassert(isequal(propagate_blockage(M,5),y_correct))\r\n%%\r\nM = [ 0 0 0 0 0 0 0 0 1 0 0\r\n 0 0 1 0 0 0 0 0 1 0 1\r\n 0 1 0 0 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 1\r\n 0 0 0 0 1 0 0 0 0 0 0\r\n 1 1 1 0 0 0 1 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0\r\n 0 1 0 0 0 0 1 0 0 0 0];\r\ny_correct = 'Node 7 blocked! It may affect 54.55% of the plant.';\r\nassert(isequal(propagate_blockage(M,7),y_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":18,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-15T15:19:30.000Z","updated_at":"2025-12-04T15:58:54.000Z","published_at":"2020-04-15T18:31:38.000Z","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\u003eFrom the perspective of flow, a chemical plant can be described by a collection of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003enodes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eedges\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNodes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are points where multiple flows meet, such as mixing points, splitting points, or plant equipment that process the flows, whereas\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\u003eedges\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are the pipe connections between the\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003enodes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor a chemical plant with\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e nodes, we can use an\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eadjacency matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of size\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e x\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to represent the topology. For any adjacency matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eM\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[M(i,j) = 1, if a pipe connection exists between Node i and Node j;\\n = 0, otherwise.]]\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\u003eM\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is always a symmetric matrix because if a pipe exists from Node\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to Node\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 the same pipe exists from Node\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 to Node\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Also, elements in the diagonal are always zero since a node cannot connect to itself. Not shown in matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eM\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are the edges that connect the plant to the outside world. Here, we will simply assume that these edges exist to provide continuous flow to all the nodes.\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\u003eHowever, the plant does not need to be fully connected; some nodes may be unreachable from other nodes by piping. Hence, if the flow was suddenly blocked inside the equipment at Node\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then it may affect only the nodes reachable from\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eThe effect of blockage can propagate from one node to another node if and only if there exists a series of piping that connects them (i.e., blockage effects have no regard for the direction of flow in a pipe)\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\u003eGiven an adjacency matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eM\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and the value of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, can you tell how much of the plant may be affected when a blockage occurs at Node\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e? Write a function that accepts variables\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eM\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. You are ensured that 2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 30, and 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Output a string (with no newline characters) with the format:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[Node P blocked! It may affect X% of the plant.]]\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\u003ewhere\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is the given value of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is a floating-point number rounded to 2 decimal places, which is computed as the \\\"number of affected nodes\\\" divided by the \\\"total number of nodes\\\", and given as a percentage. Note that if Node\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e happens to be isolated from all other nodes, then there is exactly 1 affected node.\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\u003eSee sample test cases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e M = [0 0 1 0 0 0 0 0 0 0\\n 0 0 0 0 0 0 1 0 0 0\\n 1 0 0 0 1 0 0 0 0 0\\n 0 0 0 0 1 1 0 0 0 0\\n 0 0 1 1 0 0 0 0 0 0\\n 0 0 0 1 0 0 0 0 0 1\\n 0 1 0 0 0 0 0 1 0 0\\n 0 0 0 0 0 0 1 0 1 0\\n 0 0 0 0 0 0 0 1 0 0\\n 0 0 0 0 0 1 0 0 0 0];\\n\u003e\u003e propagate_blockage(M,2)\\nans = \\n 'Node 2 blocked! It may affect 40.00% of the plant.'\\n\u003e\u003e M = [0 1 0 0 0 0 0 0 0 0\\n 1 0 0 0 0 0 0 0 0 0\\n 0 0 0 0 0 0 0 0 1 0\\n 0 0 0 0 1 0 0 0 0 0\\n 0 0 0 1 0 1 0 0 0 0\\n 0 0 0 0 1 0 0 0 0 0\\n 0 0 0 0 0 0 0 1 0 0\\n 0 0 0 0 0 0 1 0 1 0\\n 0 0 1 0 0 0 0 1 0 1\\n 0 0 0 0 0 0 0 0 1 0];\\n\u003e\u003e propagate_blockage(M,4)\\nans = \\n 'Node 4 blocked! It may affect 30.00% of the plant.']]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor a visualization of the above cases, see the following figure:\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=\\\"338\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"600\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" 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VWqVIFTXaZRo0bbt28nCyaJwCpTiWFSRvJDH/N4+/btSZZYvXp19erVobZnz56kYpIFLC6VGCZlJDn069evD+f2hg0bSLbm1ltvBct33nmHZCYpcHJnUktiQx/OardPoIYmprekZ+ILJ3cmtSQz9OGU3rVrFwluOPTQQzkdJAl3qwnG/BfUH5NvErgGPrPzEUccUa5cORKYmOMluTM+YTdGg6StQenSpV966SUSvAIZ4ccffySBiTOc3PMAuzEaJGoNNmzY4HPbLgiqHya/cHKX+eGHH1q2bAk+EbRq1WrBggVUHRRJd2NcSNQaQLBSyTcnnXTS8OHDSWBii7uQSGhWymQyWiYvaN269dy5c0mrMW/evIMOOghrSeWfhLoxdiRqDewDFCNY4PiNK9hQiYkt7hYxiVlJC3alSalbOpBEN8aR5KxBkyZNbN5g/v7773LgqsSxowETfdwtIhgnaNF/+OEHmP7KlStJVmDp0qXQBE4Wkr2RLDfGl+SsgavTuGvXro72kyZNGjx4MAlMPEltcr/99tvdzV0CGo4dO5YEDyTIjbEmOWvgKpSPPfZYFXvPpwcTEdytIBgnYsW/+eYbn6ELzefNm0eCW5LixriTnDVwFc1grGLvqk8mgrhbQTBOxIoHErfeO0mKG+NOctbAMRYffPBBsEEmTJhAWlvAkkpMPHG3gonISjDlQO51umLFCo/xnwg3JoDkrIFKIEK8vvbaa4WFhWCsYq9iw0QZdysIxjFf8ZUrVwYYtNDV5s2bSVAn/m5MBslZA7cxDfbHHHMMCRYEeJ4wecHdCsY/K9nP96GHHgIDHVRngaOBCfF3YzJIzhq4jUItsO2afP3118cffzwJ+UD3Y0KZWbNmkRFjC/iKSirEPyvZz/fUU08Fg0MlHJ9k4M6BSPzdmAySswYQha7uBAn29oFbpkyZHj16/PrrryTnEBzb/PnzSTawzz77gEH37t1JZiwAL1FJhZhnpTfffLNXr14kmIHJnQQ1WrVqtWzZMhIUibkbE0Ny1mDz5s2lSpUiwQDEdGFh4datW6G8Y8cOEB2jHG0EDRs23LJlC9WFBryiwLFIcOLEE09UN04n7vwDxnH2Z9WqVTdu3EiCGR6S+7Zt26BbEhSJuRsTQ6LWwD5woVaGtBZMnDjx8MMPx/K0adOoTTHXXHMNVgUL9HzrrbeSoAy0+uCDD0hgSgLOoZIKMc9KjpP1kNwB101i7sbEkKg1eOedd2w2766wCuibbroJqmQmT55Mdf6Arv7++28SXAJt+RmBpoBnqKRCzLOS42RPPvlksJGhClsUzf4h5m5MDElbAwjEnTt3kuCVOnXqXHrppSRYsHnz5qZNm2onCLHXXntRnXuguat7gBiBHqjESLhzS8yzkspkd+/ejYURI0aAvUoTFZsSxNyNiSGBa+A6Fkvy8ssvu+0BdtxVqlTJnijFdO3aNZPJULUTxx9/fJs2bUjwARyXSkwx7nwCxnH2odsAWL58OTRxfOvp+t1wzN2YGBK4BhCvbqNc8NFHH3lui4wZMwYHIHj22WepzgKwoZI/+vfvn99rNyOIO9+CcUBrkRcaN268dOlSEtQA/xx99NEkmLFo0aJmzZqRoEjM3ZgYkrYG2WxaUIBPJ9i2bRtp1ejQoQO0IiEIzjrrLG04RMWKFX/++WeqKwZOyC+//JIEAxs3bry3JFRhARyFSoyGO4fEPCvNnDnzkEMOIUEN8M+LL75IghmNGjVas2YNCYrE3I2JITlrMGXKlGwGlaIKyuXLlyfBCTCGOCYhaPBH4TIHHHAAVkEZC6agsQxMk+rMgF0YnOEkME7u1RP/rGQ/3xUrVlBJQwsoh/k6GpgQfzcmg4SsQf369SEKK1SoQHIx8KZSC+CC3377jVQlGTduHBqQHD7vv/9+qVKl8KAIVZjhaGDErX2ycecNMI6z93bt2gXztXnURjaYSmL/u79169aBDQnqxNyNiSEJa4Bhav/I03/9619opmPYsGFkkQ8aN248fvx4EszAQZKghlv7ZOPOG3HOSlqkEKQyY/r06ZdofPfdd6SyBrpSvy7gH+LsxiQR+zXAaF6/fj3JsQJGTiULcHYkqOHWPtm48wYYx9B7ZcuW1cKk4KWXXgIRCgsXLsQqP7zzzjvQFQmuiKcbk0eM1wDfM3qMv2jgOHicIFK7dm2VbRRYUolx6w0wjpX34J2fFhoFffv2JZWGu1lb4L2TuLkxqcR1DXr27KlFdbxjyHH8RxxxRPv27YcMGdKsWTOc7x133EF1Fjj2mSrceQOMY+K9Pn36aOFQULduXVJJ4NViJHgCmnv5QAbJrRu3bt1avnx5zRnZCyiqaeA9mgDXN8YJjebNm+OQSpUqhYMUw4bRhvHZQywTAXoEsh7JsQVmQSU1cOIkWOC2z2TjzhtgHHnv4aclgP2VYH6e2gENN2zYQIIHcuXGZcuWaZ6wO9ZPP/3kaBM2OAD7H4vVqFEDbKZPn05yEEQ9lI2gp+bMmUNynKlVq5arJ6LdcMMNMHcSLHA0SBXuvAHGEfbe4sWLs6GvQSonwPLuu+8mQQG8JwEJnsmJGzU3uDgKGDdt2pSEXDFw4EA4rvoNUbQ5Bea60NcgQMBHwU4+73zxxRdnnnkmCQoMGDDAcfpJ8o9/3HkDjKPqvWzca5CsDGwgoNXbb79NsgV414399tuPZD+E70YY6rhx40hQ5rDDDvPgQM/AsYwXZzsye/bsoAYZ0VA2cv/998Ocg5p2dHA1I0cPvPvuu23btiWBcelesM7+RQxcdOCbb74hlXvw6S5Ar169Fi1ahMrffvtN/Ig6yF1tyG6E0W7atIkEl0yYMAGakxAmcJTTTz+dBPcEMsjIhbIplStXhtnWqFGD5ARhs4rinUqbNm2wAFCdBY4GacOdQ8DYgwPr1KGGhr/MGWeQjSdq1qyprXmB/Y8hXPHpp5+Kb/ZatWplc+sL7+D0wwGG/ddff5HgiSFDhkAnJIQDvFLuv//+JHjF/yDDnWQgZMOwoOChhx4iOVls3rzZZhVXrlwpznD7e4AA+GJAAqPhziFgrG6/YwfZ29x6ZdSorEFhIYnKHHjggdqaF3Tq1IlUgYKdkxA46JYQaNy4cefOnUnwAcz9s88+IyFodu/eHYhvn3766dKlS5PgidAWOCC0IPRxVVYcCCQUgKD6SRLufALGivbqlsDPP2eN33iDRFtuvvnmbMRrP2sgVQjgIUgIHFfOcUOAYw5v+sEO0s/TKUJbYN989dVXMLcAPRVl/E+zRYsWhx12GAlMMe4cC8Yq9mAzdCiV1YFWtnem+/LLL7V4z0Kq0Aj3KNBzCJ1XqlTJ8VHdH3zwQa9evT7//HOSrTnmmGOGDBlCQnDMnTu3XLlyJNgydepUKtniZ5lCDyNvHHrooeHGX8T45Zdf/Ez2oYceSo+vXOHOLWDsaA/vI4u/kHRLpn79ourVSZD4+++/s7GuQaqQCfdYKm50j/2A69Wrh5MSUIU1KjZuUenzzDPP1AaodHRFM1OCn55/cOaurhGMOzhlgGQ3DB061FvDNODOM2Bsbw+1Pi5ZyVK6dNF111FZQ1v2LGvXriVV+OARSQgcRze6Z/Xq1fafU8F05J+MqEzQ0cADKgcFJk+e7GiJXHXVVY5PcbAi+OnJrFy5cvjw4W3btj388MNvu+02WCGqsAYn/+eff5KcAnDKUMAdnM0tW42AfeXKlUlgDKBjVQFja/tM585FDRuS4IfiQ2RXXePjjz9GTc7A45IQOLZu9EaDBg1cPT5eZYKXXnqph4vlbVi2bBm8gSDBDHj9vu+++6Dw5ptvqvtf3VJHKAuMP6QEjjjiiNdff33FihWQrJ9++ukWLVqgfuzYsWQqAakfa0lOARs2bDBOGTWOV/LiLeyXL19OMmMGuIhKKoCxjX1QkblzJ3T18MMPw9j++9//kjK3ZCMsqOkYsXejJ9yOVmWCf/zxR/PmzUkIgltuueXRRx8lwZZYJvc77rgDhnLTTTeRbMF5550HZo8//jjJRUWDBg0CDUByChg9erTNlLEKuPzyy7du3YrKF154oXXr1qh/9913UcnYAI6ikgpgbGVfv36R04OkXZDvOMcQIiFwbNzoFbejBfsyZcqQYA2YwRvfoChdurTKhxNA/JI7DMLV74zwzm1QwBtSN2nSBPVpoFGjRorumjp16rHHHluuXLny5csPGzZs1apVVMEo4O7EAGMre7V+Mh072nUi4/7i9wABt7jzjCsUPeAGV6Pt3bu3or3mhiChfp2IWXKHEaxcuZIEZWbMmJF1icK9L5IETvmaa64hmQkN8DOVVABjU/vdu831RsDs5ZeVjBU7DAeMQBICB3oOunNXowVjeL9Lgi0qu3t12rZtq/iYlDgldzj8bjgBPLF9+3bPo48jMFmAN+C5wV1ogbGpfatWmV9/pbINpUplm0+ebN6JDlcDCxoMQhICB3oOunP10YKl4pXmixYtateuHQlB8MQTT9x4440k2BKb5A7H9nNLI+Dll18O9iU0soCvPC8V4wF33gZjU3uVTrSvSbMFteSe6dDB71WVPgg3DqHnoDs/6KCDlixZQoI1rubVvHnzTz75hIQg2LFjh+LR45HcP/vss4oVK5LgA5jAryqbo9gya9YsmKPndWK84c7hYGxqr9IJ2ODTYxR37p9/njn3XCrnnHBDEXoOoXPHG624nVQYHlDsUz25H3fccZ5v7uZ3egE6KAxfR4RTTz0VZpfgCUYWdz4HY1N7p04yI0f+Y6OY3FesKMrf7SLCjUboOYTO7QeMM7q1JLt27aJqM+w79Ab0Cft3Esx4XwPGBpbwvgHK69atozoz/AzS1/SmTZvWokULEqyB8akMsXbt2on8JBqn37FjR5KZHKISeP8Axqb2jp0UFGS++ILKisl95sxM795UzjkYkyQEjpUb/XHggQf+3//9HwkGcEY6/vOf/1C1gcLCQpXPeTwAx6WSga1bt+LAdFC1gfnz5/u5MaSvNbAZFvLRRx/h6AFS2aJoFiNw7p9++inJTG5xF1FgbGpv34mu1RtvONgjJ55YlPMfpgowLEkIHJ1DgiPAMYc3feh5y5YtJPjD5yD9NbY99tSpU8Fg/fr17du3Vxylz8lEDZhOwmYUO9z5H4xN7Zs1K7L5JTC2Mv2zoVQpKuSDcCPTce5euf/++xWvhLEnxLlrBNJ/69atDz/8cBI84WsQinNIYXJftWoVzCUx04kv7pYAjE3tN28215vy3ntKxq4GFjThBif0HFrnMOzBgweT4IkKFSp06dKFhHB47rnnfLr3ww8/9L9A3tvPmzdP8caN6sl9r732olKcueuuu2C+/teG8Y+7VQBjK3v1fhQ/cw9iB+qZcOPTxo1BACNXvJzcSO3atUOcuATetJwEl3z77beBDNJ7F2+++eaoUaNIsEU9uat8PRtx6tSpA5OtzHdqLCoaPnw4nEulNfbcc0+bb7fCw91JAsZW9tWrFyl+//bqq86pDQy8/ugvEMAt7jzjChs3BgQMvkqVKiQoA60aNGhAQvj06dPHg5Px7ook+MN7L9OmTfv3v/9Ngi3qyf3AAw+kUs7BV0tTvvrqKzJyAu0d75uWbEqVKgVOqFix4jPPPEMqjf/973/wjhiq4F9ShQ8cjkoqgLGNfUCnXJYAu/JENkzDG4O9GwMCbyAzf/58km2BbSgY//DDDyTnim3btsFxu3XrRrIta9asAeP99tuPZN94X4NVq1Y1bdqUBFvUk7ur+44FxVFHHQXDg0GSbOD4448HgzZt2pBsAdgA9letJptq1aqBBxYsWECyBfPmzQOzAIPYBjgQlVSwz0oHHJA56igq+wEOke9nAmcj1ZVnXGHvxkCpXr06TOSUU04huSSQWyGlgEHr1q1JlQ969uyp+bvgr7/+IlVJYJeMBiQHhK/uFEejntwDn549eNnpmDFjSLZlwoQJYGx1S0+oAkhIJTD9xx57jAQFRo4cmQOPuTsEGNvbFxRkfP4Uo0GDTPfuVM4f2WANz/mObgyae++9F2dkZObMmWSUbyB14O7HiOJHIG7xtQYwLCrZEs3kPmzYMA+Hgya9evUiQYPvKwB4nn7YfnPXPxg72oOB9Dg3V2QOP9y5/5yQjdfwRqLiRiZ8fK1BuXLlNm/eTII1isl98eLFHr4k8cb555/vObjLly8vPsPp0qWLdpqkOpR9Tj9U77nrHIxV7MHmjTeorE7lykqd54RsyIY3GEU3MiHjdw1sQmTOnDkYQzL9+/enagNQS6WQgVcRn8eC5tOnT8/Op6CgU6dOpE0l4AEq+SCQTkxx1zMYK9qrWyIFBZlLL6VyBMgGrqvxu8Ktc5hw8LsGQYUIvAMIMdpKEsiBsidHQcG0adNITiXHH398nz59SPBBixYtBgwYQEKguFtrMFa3X7w4a1yxYvZmv1Z89527PnMFRi8JgRPJKaeQANYgkCgJMdRKUrp06UDuLbx8+XLoioS0EuCqhRQA7roFY7fDyGSolfaXKVNGFotyckWQB8AtITk8C86dyTcBrEGPHj18/rIU4szzT87cEmBMh3h6xIF+/fqZXtFfWFho6hn5lwRgQ9piLr744ttuu42E4IBjUUkFME7HmuIqkBA4qXFjxAlmDSBQTjzxRBJc0qpVq5w9humUU0555513SLAGPyMCrK5LRWbOnHnwwQeTkD7AP1QqZsWKFeg3gFTFvPHGG6DEXyCPHTvW1Mao8Y+7PsE4hDFEEM39oc00NW6MOIGtAcRKtWrVSFAG0nr58uVJCB/FgAaz66+/Hv61T+5AiGdI5DHOHTRff/31l19+aVq15557klBU9MADD5jaUCk43PUJxiGMIYKAW8LwNpEaN0acINfg2muvhYjZtGkTybasW7cOjMeNG0dyTlAJaPxZMxTgX07uNljdpsMquVOpGNDAKygJGqVCuAuuuwUC43QsKLjFnWdckRo3Rpzg1wDj5t133yXZwPPPP482JOeKTCZTtmxZEqyBgeHrExQck3utWrW2bdtGQpq4//77dbeOERiT+5NPPmlcbtBUqlSJBI1bbrlF5UMzVxiPawcY5zwsc0bNmjXBGwicCAAJBQW1a9cmo0BItBtjRFhrcPrpp1PgGBg4cCAZ5Zbly5c73scZRyjKjsm9Z8+eS5cuJSFNnHbaaYsXLyahJMbkftJJJ+k0AGh0r7WTJ0+G1wwSAsJ4XDvA2JV9HNi+fTs4AbC6cwbw+++/ow1sgEjlhyS6MY6kaA0WLFjQ2/aplXgakKDlBcfkPnz48BkzZpCQJgYMGDB9+nQSSmJM7q1bt9ZpANDokvsTTzzx7LPPkhAQxuPaAcau7CNPxYoVXXkAjOWvRjySODfGlBStwcqVK4888kgSzIDIPkq67R+Ijsm9R48ef/zxBwlp4qOPPrr44otJKIn6zl13798TTjjh+++/JyEgjMe1I1lZCeZ+6qmnkqBMhw4d3DnNSLLcGF/StQY2Ufvxxx9D7ZZiduzYAeKyZcugTBZm+D0N4ozVA0mMyR1vREFCMaC54IILSNAIw5nu+gTjEMaQF2DiVm+tHHnxxRd9rUWC3Bhr0rUGNiHbpk0bqDWFLMywr002VnM3JncANA8++CAJRUVr164Fze6STyMKw5nu+gTjEMaQe2DWkKBJ8ATeRJcEt8TcjV999VXnzp3r1atXvnz5Ro0anXLKKRCuVBcrkhDK6riKVzDmSyFtsJo73gOZhGJAIyt1IoBvlUgIDnd9gnEIY8gx//nPf8oF8YBWcN2ECRNIcEU83fjZZ59lg7KgoFmzZj/99NO2bdtg8/H3339/++23VatWxSrHhBApYh/KrnjyyScvv/xyEpxwXMtRo0bdeeedJKSP1atX6z6ZwRNAplatWlRnqCVtMUZNILjrNp5ZSUeAnvTYVdzcuHHjRpipym8w8dYasBEhOdrEPpTdoh6vYLl+/XoSzPAY+gnCgwesHgAQkjPddQvGMV/TLl263HrrrSTYMleDBAt69erVr18/EtSJlRvr1avnNvbA3sM31bkn3qHsgW7dugVyB3b8IWvbtm1JTh/4tGuAZB8E0okp7noG49BGkhtU5ptdMwnSWuBoYEJ83Aiz83Z7qIoVKwby2VeoxDuUveElXg1AJ82bN4d/gZh+3+KZDRs24MTvv//+fffdt3PnzlThiZYtW+INxcIABkklFeKTlaxwnK+2bi7mCMauf9kUEzfC1Hr27EmCe/bee+9GjRqREEniHcqecRXfRuTmUEZITjo025IeUHzIuJELL7xQ7ipw3HUOxnFexz59+rzwwgskmDF+/Hi33h45cuSVV15JgiJxcOPgwYN1P7PwADjzk08+ISF6xDiU/eDnwU/QcFXJR+DPnDkTlMC5555LqiTyyy+/4DSff/55UhUDytatW5OgTJ06daAhCeHgrv84ZCUbHCcLBu4coqH7IbEzcXCjBz+YElQ/YRD1NQiPnTt3wsJs2LCBZAV27doFTay+Etxjjz2gFiA5WZQqVcp+doqPQReA8RlnnEFCaLgaUjYlxXn5HCcLBscccwwUnn766VNPPdXxC1XEnQ+ByLsRgnnNmjUk+OPRRx/N2WP93RLjUA4ECFzF2FW0RLMw7l6bLxYtWoSTUnlgLFr++eefJBtYvnw52pAcMu4OBMa5GlgYOE5Wc7weqrNGxaYEkXej44zE12mnnHIKqaxx7C1fRHoNcgYu5NChQ0mWuO6667CWZAVeeOEFbHLDDTeQKrbgRACS1WjatCk1M3DQQQeRUU6AI1JJBTCO6omqguNkwUB3F37QOD4HzZ0PgWi7EfL1Y489RoKBlStXwnyBzp07O75bRSCkP/zwQxKiRIxDOXAmTZqEayljdddyR0qXLo09kBw3Pv/8cxx/NANXEXf+j3ZWcsRxsmCguw44u8BOrRL2mbv9fHX3ktp///0d/QNE81n50V2DZKCdO/qnUkQfHDZAcmxxNwUwjvOUzz777DfffJMEM8AbukytLbLdlMeOHTtkyBASFIm2G+3nq+Pvv/9WsXfVZ86I7hokhjvvvDN7AhUUBH6z8jCYMWMGjnb+/PmkijMwESqpAMaRPEsVyWQy9vPVFraEAYj23w+BQcKuc9d5wB7FC7pc9ZkzorsGCQOWHyE5ktAQoz1IV7ibCxjHfO72812zZg0Y1KxZE0X8TBnLVngJhmi7UX1GeL+wzz77jGRrvHgpfKK7BskDr6QEAn5kZRD873//w7EF/riM/AIzopIK0c5KKhxzzDH33XcfCWY88MADuNCI7q7LOs4555yzzjqLBHWi7UaYNZUswEf+IuXKldu5cydVWAOWVIoS8Q7lONK/f3+Mm+j8tg3HA5CcINxNCozj74QA19FjV9F2o6tJ4eb9iy++INmCAH0eINFdg2QD0YCQrMbmzZvF5Vk6jj32WDJyg9ik2FyZHmtgalRSAYwjeZa64rLLLissLCTBB2XLln300UdJcEW03eguJIpPVRIscNtnboh9KMeXLVu2YNwccMABpLLm+eefR2OSDbzxxhv2BkbQHiA5ibibHRgnwhswa4gHEjzx0EMPeQ+MaLvR7bzA3rGJ2z5zQ3TXICV0794do+fnn38mlQGoLV++PAlOgLHjHZFuu+027ZjZh8SSKqHAHKmkAhhH8iz1AExc8e4CRt577z13ftMRbTfWq1dv6dKlJBh4+eWXqVQMuML+gqLRo0dH8/bunNwjAQQQQnIxW7duBaXKVzoy11xzjbErgXYc/fXOScXGDyZ4zUo9e/ZErwqqV6/+1ltvUXWegGH07duXBGVOOOEEaEiCN7y6MWfYTDC7eAUFlStX7t27N/6CCaA6CxwN8kWk1yBVwG4CI+moo45CzbZt2zzHjemPL0aOHKkdIUWL7m6yYOzG/tlnn0V/Pvfcc6QqBl6VO3bsiLVuX5sDpFy5cjAAEhQA4wBug+XSjbnH3ieTJ08W32w53ufV8bcFeSTSa5BCDj74YIyqdevW+QwafLUgQQtoIJCv2mKE7AFnwFjNHh9X0rhxY5Jt0RyfzxMNB7B8+XKSDYiNBck+UXZjXvjll1/uuuuuoCYbmNNCILojSzPaiRbA0sCbgJYtW1566aXYodXNihOMOzeCsYJ9r1693HVbVDRv3jxo4vqnnoEibkltpH79+mQUCGpuzAs0YQ3/T7dv27ZtlB/GFNE1SDlPP/20+BmhTzCOI3vL6bCBuVNJBYWsBLt1d31KQMOgbiMeaRTcmHuOOOKI7JlQUDBjxgzUQNn+Cfj2fPHFF9ADCZEk0oNLLYpBM2XKlNtuu+23334j2YxVq1bBlo2E9OHu9HPKSmeffbbP8zni6SAYnNyYY/BtE9C0aVNSFQNKb7/wePPNN6EtCVElBaEWN2A34bjR1mL1H3r06EEVZoABldKHu7ljVuK/QP6igXZ+ZCHZAFR1796dBDX23Xdfmw6jQ3pP+8jiGDcVKlRwFVuNGzf+448/SEgZ7k5CMOa/oP7yTcuWLWH1ge+++45UFtStWxfMdHdyN+XLL78Ey86dO5McbTi5Rw6IHipZAAbTp08nQYFly5ap/Ag2kTg6U5G33367atWqJPgmqFElgN27d0PyHTp06NFHH33dddf99NNP/r92hoAHDwOQtUmlAO6ZWrdubczyf//9d+3ataG2evXqpIoDHGSRA2KISmZ88MEH9gameGiSDIKauE0/S5YsgVojZ555JlkYuOGGG0477TQSUsmmTZvITdoPO95999158+ZNnjxZ/DgA2LFjB1m7gRp7XfdPP/20SpUq1EUxe+65Zxx/y53Scz7KQDBRyYy99toLDU4++WQowFbC/q6tiH2fCSaoidv3c1xJ8Eee119/PVWbkdoVAWDuKtNXNBN07twZm0ydOpVU6Sa9ERZZ7AO6fPnyGMFA27ZtsXDllVdStQVgQ6WUEcjEhwwZcscdd5CgwCGHHOJ43HSuyFlnneV24mB/9dVXk2DBokWLwAxo2LAhqRhwHf3vClge/gvtD9Bp5L+yBgNE1hj/HA1i/GdLduK+KV26tMrbIwEc1PFnCim5t49MuXLlypQpQ4IbwJ+1atUiwUA2uDVIZorh5B65v2yYWv/VNBjgDR5ljfHP0SDGf7ZkJ+4bV5088sgjKvbPP/+84/utJFFYWHjYYYeR4J4999zTmN87dOiQjeyCgo8//phUjITX5M6Ehn1quOSSS3QGAwYMsG/y5JNP3nrrrSQkCZi1Uyjae0YRV52AsYr977//DrmJhKRzww03eNuzy4BXH3vsMSzjvX2AatWqoYYx4in0gzhhGCvOO++8Bx98kAQzIKblSyExykkww742xsC8nKYWyNzVO8EHsGzdupVkaxYvXuzt4VlxJKgIxH7gXwSVjBWeHJREt/7111/3339/q1atWrZsecEFF8yfP58q8oF94GJkH3fccfgJAEAVFjgaxBWYV07mrt5JdjHUjEePHn377beTkGjAIZs2bSLBH7/++it6eNKkSaRirPEU+kGcMBEBLxsHmjVrNmHChLVr165Zswb2xeLxC34+KPQMHHfbtm0kmHH++efj8Pbff39SWVCrVq1XX32VhIQBcegUiuAiKvmgSpUqKj9fBOBw9ldACsqVK0elpOO4BPA+NRvKas8BduyNEXjyVCL8u3r1agiUihUrkmzBV199BWb77LMPybkiqCBO8skAU3OaXSDTHz9+fP/+/UmwxtWTMZK8LhINGjSw/7YT/AAceeSR8E4Uy1RhAazF2WefTQJji6cIi39cur09y3333efK3j/HHHOM/7ts53jMuQZm5zTBoDyg0g/YqD8LJeFLU4z9NLt27aozALFjx44kWJAS1/nHk5ti7lwIjssuu4wEN0DDVatWkRA+cDhxeYAHoPk111xDQiKBOHQKxaASgWM/+IMyEpzo0KGD/6tHYoG9T6BWZ2DUGHE0YBBPboqzcyEy/Hwbk+PAgsMNHz6cBDdAw3bt2pGQVGAtcpUIdu7caZ+Of/jhB5vn2OmAUSFBfdMYWeydhk4gQQM/nCHBAkcDBvHkptg6t3nz5v6vP8txbGXD3+URwf7RRx8lIcGAW5w849Z1NgTVVZ06de69914oZNe1oODQQw9FffLIZDL2v9RFD5CgMXjwYJ3GiKMBg3hyU2ydG0hYvPXWWzkOL7wCbN999yXZGjDL8djsWbBgAezdcFSC6tWr+3m82T/ATJ0mC4ejUhD47w1293In8O4q65FABxkddu/eXbt2bRLMmD17Nk5/3rx58+fPb9KkCYpUbYGjAYN4clM8nRtgTOQlvGC7lw38goKzzjrrhx9+IG1R0YcffgjpEqtIFQFwPCeeeCLJEpDZ8WHNPXv2JJU3YL5OU4ajUCkI8FkNJHjC2Hzbtm2gBKZNm0aqBOH4TLHvv/8epw+A8V133QUFqrPA0YBBPLkpns61iYlsZJlB1Qa2b9+ufl1E4EydOhUvMwAgS1511VW5/JrXkRYtWsDA1q1bR7I1o0ePBkt4cSLZLbBATqEI/VMpIG699VZvfe7atcumIVQBeQyqkLCZsinijtY2uO0ztXhyUwydW69evQ0bNpBgIHtimUHVZtjXphZwi9vHUECTPffckwRXwBI4rUIYywRvm6BbV9+FdurUyXEk//d//wc2jmbxwu10wL5GjRokWJAwF4WHJzfF0Lkegqx3794kmMERZgR8orJhN9K8eXMv/oQmTq3CWyboGYD9OMkWvPTSS2B28MEHk+wEdgvvxkiOOTAXKinQvXt3R/vffvstwOcdJhtPoR/aCRMeroKsffv2jvaffvqpyq8W0wN47M8//yTBPY0aNdpvv/1IUATWyGmZXK27B6B/oFSpUnPmzBEP/4T3iE888QRWuZ5UUVHNmnhf5/idZUZ+/PHHypUrk2AAn510yy234J1Ngddff53qLAAbKjFOePJUDP3rKibA2CYiEdiyOdqkB9hM9enThwSvgNtXrlxJggqwpk7LmptcsHXrVth1FhYWwuEAyM6DBw+mOk9ATsSu/Lxe5h2cAkCyGRUrVkQbxTt82PfGyHjyVAz9qx4TzzzzjKIxx5kgKFe46weMnexjvUYweOCAAw4gOT6ceuqpOHjYiS9YsAAKVOEP6Mf+hnqMjCenx/CEUQ+vbEiqGav3mWwC9EPLli3lW9U7AMd1OnTc16hbt27ZcIzPLNatW4cDlh+cBKL/m/SOHDkS+pk8eTLJjBOegiaGJwyEBZVsWb9+PViqvBeGd+L16tUjId3Y+/b2228HA8HixYupwgKwoZIjYOlk7KK3qLJjxw7NcwVvvPEGqaIKjhMgWQKU27dvJ8E9a9euxZ4R0jK2eHJTDJ2rGBDqofPyyy/feOONJKSY//73v/fddx8JBmbNmgX+vOOOO1DET6WxbIWi/7OAZYC9RRuYCBDZx2qLG/ba/GoBatesWUOCG+bPnw9tsYwRBbzyyiuoYazwFPoxPGFEcNgDZjfccAMJtih2mHjs/QC1OgMQ7a8LPOOMM1TfekPPTqugO3qsEQ/eEpflRIG//voLR2V8gLURMDviiCNIUKN+/frQioRitANmIZkxw5N3YuXTt99+G4KgdevWH3zwAakscBUuYPnVV1+RkGLsPQa1pUuXJkEj62InJzds2JBK9kA/Tl05Hit2oAPPPfdckvMKDgYgWYHDDz8c7D/99FOSrXnttdfA8uSTTya5JJ999pl25ILEPmjMN55CPyYnjLgtEQAi/msDGNjf50gwffp0rdcspEor9h4wuqhUqVL2TQCwoZI90I9TV47HiiMNGjTQ/Oplau+///4JJ5yw55571qlTp3v37iBShUv69OmDY3j22WdJ5Qa8lr+wsPC7774jVTH47DOgadOmpLIGLQGSGQlPTom8K/E+HgiptDiwfxKm+jXF2K34kqdx48aoTyHoCivQPyRoGDVGHA0IMAuqq7jxyy+/aI4sWLZsGalswd/lAaeffvqXX365UQMKIKK+c+fOZOoENMQm/h8Du2rVqv333x97E7Rp0wYOQRYKfPHFF9jw4YcfJhWj4Sn0I3zC7Ny5E1cagDJpiwEllXwwcODAFi1akFBUdMEFF+Dh7J8VmVQcXYrOEZQuXRr+pToLHA0IMAuqq3iSdWhBgf2nWHgf3SlTppBsAX56KQe2KdoBs5AcGWhYiV5ut3jyRVQ9SMtbUGB1j7A777wTaknwhNW9/bTDZiE5NbidsoqX6tSpQyV7oB+nrtwOL3b07NnTxqWg//e//02CAhdeeKFVVyeeeKJ2nIIXXniBVBFj3rx5OEI/D6dMEp5CP3onDC4q8Mknn5DKgmrVqvl5/hwcgkoGMpkMjkHlsoHEYOMQU8D+nHPOIcGMO+644+677ybBHji009HdDi+OiMB76qmnSFX8YyISXAINt27dSoJ2qxyte+d7ckQB/FIHIDnFeHJBlBwnnlOh/sVOmTJloBUJyuBvSUiw5sYbb8TxvPjii6RKNH369FG/IfuYMWMcfeho8A9gGWBvMQc/7xLz9TlxaI4XXGpdZkF9LMB7MgPevuxFfv75Z+xEx8SJE8ki8nhaM88rvWlT0auvFnXvXgR75yFDipYsIb0nxDUD559/PqmUgSbQ0PF+rQLY74M9CQqUK1dOG1qcTgnP2EwT3suvWLECy23btgXLvn37omiFC6eBpZNxSpYAef7552G+CKl8QB0VFOATX2MHjd69K+ANCrRq2bIlySU577zzsNtI/drAFE9B4NZfcHpDE3BHzZqZ//yn6I8/sn/vvZfN8qh3+YzgM888E/3boUMHUnkCO7H/1Rze3AO2nCS7AfsHSE4czz33nP0Er7vuOjRAZs2aRRUW9O7d+9prryXBES14qGwBHJRKqQGmPGPGDBJ8gItLQjwRz/AbPXo0qWzp1asXGCteOI89kxBJPA3O1ZTA2NF+5kywySj8dGXEiBHoU8dnM6qDHQIHHHDAueeeO3DgQLzNNPL222+TnSfE43XGjh1LqkQwZ84cnBcAIv7rH3f9KIRWUAOLEQFOORneg1kgJFsABoo/cxHgD6lIiB6eRqY4H9yYK5N5/HEb+3feeUdboOyDEUgVNOvXr1+0aNEPP/zg7q7iCiTpSx7xQGeAVNqJ4XixnSPgJXedwACcXCoPMg3AfHfs2EGCBeIzQ8erkrZu3QpmJMQZ8QH6XXfdRaqSQNVrr71GgkugLZUihqdhqUwGduLeLhqBzv/+m8oa4vcaAKniCc0htrMQtycESCVhqlRn5MiRZcqUIUEROKLTQX2OKnbYzxefAQJ+njt37n333Qdle3vA0SBG6L5zFoDG8y91EWOfUcDTmBxnUqtWpnlzKnuguH/cOCCoiTvijPL2IX4ewWEDNl9RQC2VXPLwww97aQtNnFp5HlIc+e6779q0aUOCGdn1K+kQEN966y0SzNhrr73+LrnZijWLFy9GJzz44IOoad68+eGHH45lzyheSpdjPA3Ifhrvvut4yjmDK6AhX3KbDGhiMck7NFa1G6WB2ZdffkmCGvvuuy+0IsEV0Mqpocee40mTJk2WLl1KghnZVSzpEBA/+ugjEsyA981xfBSUPfIWHv/1T+PGjR2vBMsxniZm744gnJWZNGl7+fLe7v4cFzC8/N+gA392ixRqlC1bFsXy5cv7eUJCpUqVsJ9nnnmGVApgExJs2bx5M1gef/zxJLsFjuJ0IMWRJAPHyeIdZpYUX4KMcYJlGxLpw99//x3mBUAQkso3UXOUp9FYzyFTo0bG6fnlqiQxpHQ89dRTGGG33norqdxQtWpVaHvxxReTbEaVKlXAZuHChSSrsccee2jjKrjoootI5Qbxpevs2bNJVRJ8PJPubsCugQhxChI4CpVSgMpks6uiPfQDC6S1RdEsjphO7dtvv9V8Y1KFegFpiznjjDMidVGcp2WzWWzHOAAD/LP9DXqWtWuLatSgcqLBH00YY8UG/MW5+q9L1PsX9ypRv02gDeKGJDrEs5l8gYFkCxyLSilAcbIiszdo0IBUtih2GzvOO+8846YKPYOQqhhULliwAMqffPIJilglMGryiKehWE3gvfcyxxxDZQOZyZOzDeHv3HOpYNWPwNEgQWCsACRbM378eBUzHVOmTLFvNXjwYO34BdWqVSNVxIHpOPnBfsoJw3GyS5YsARu8T/qKFSuyi63gHxWbOGKcF2jKly+PBdPan3/+mYSioh49epjaUCkCeBqK1QTs32Xv3k0FjeyFko6OiJKncsD777+fjamCgoEDB5LKwIsvvug5gPB+yCRIvPvuu9phCypUqECqWABzcXKF6XyTStWqVe2fWADeaNKkCQka2rLbuWj79u2xuF+YB2wmbnTLMcccY7QHje7raKNNHvE0FKsJuJrY5s3O9q+8UqT2RNMk0ahRo2xkFRQYH1mAn8aQ4IlVq1bJPegeVhUzYMxOw47lvLzy8ssvn3XWWSQYMP1Fkrbydi5q2bLlokWLSEgWNhM3usWoAUDTvXt3EjTOO+88lScI5ga7dbXEyim2UaLniSec7bdty9SsSeWUgcEEkKyhE72x3377XXbZZbAjw/4BqogdMHKnwcd4dp6wny/U6h6+Chr7n3wn2IE2U4MqXa1RA4BGd3/vkSNH/u9//yMh33haOSunuIoDMFaxd9Vnspg1axaGVM+ePUHs379/r169sMon2C2wadMmUsURhRCCOVIpHdjPV1vzLLDBP+qoo7BMdRY4GsQXm6lpjilRa9QAoKlYsSIJGiNGjJg8eTIJ+cbTylk5RT0OLr9c1Vi9z4RSr149DCyAVBZMmjSpdOnSsBFzfDT+U0895eeJJVEBHOLkE0enJYw1a9bYT3nJkiUVKlTQosn5miWwSdLPU3XA7KhkQHNPiVqjBgCN7lca7du3nzt3Lgn5xlPoWznFNqr+4a+/spYvvUSiDevXZxo1onK6gTDae++9STBDi72CQw899JBDDsEyVVjgaBADYAppmKZLYMrbtm0jwQf4ACYSkojN7KBKV2vUAKCZNm0aCRpGmzziaShWE1CZ2O7dYJbp1o1Ee558siieDwoInMLCQiqZccstt+iiCsQuXbqQYEakotAjMAWnWSRhmu4JZNaJd53NBKFKV4v37iZB4+mnn9ZpAKMmj3gaitUEtEtEHYC2Bx5IZUei5Kn8Yh80HTt21BmAaH8PqTvvvPPRRx8lIabAlJ0iJFInW8749NNPfU4cms+cOZOEhDJjxgyrcwSmb3SgTqkTAaun5+cLT0OxmsDvvzskbmjo6uqXKHkqvzgGDRhcddVVWH777bcd7desWdOsWTMSYgrMUcEtVEoZl156qee5Q8ORI0eSkGh0LgLRCNUVn1YyVFEMaP78808SIoCn5bcJGpuqihWztcY/K+bOLbL9lDlVGCNJx+WXX67FW/YZVfCvyvNGwIxKMcU+fjRiP0cfTJ06Fabv6s5xa9euhSaJ37MLmjZtqvgEPgHs95966ikSShK1YPM0Gus5ZFq3zgRy2xAgxaelEZW46du3L5ghpLJF0Sy6wPidphD7OfpGCwfVeFC0TBJBTRn6WbduHQnRwNPE7N0RiLMuvTSz775UZhRCMHteajb4K1bA/unssKGrEff7ssF8FdxCpRSD10cCbdq0MUbFwQcfjLXGX0SngXnz5sHcSfDKwIEDI3iTBk+zsvfFypWOp5wzfE6WxD7+tHOzhIFRo+P111//73//S0JMgQk6xYm9E9LG4sWLy5cvj7GBQEpatmwZVaeV9u3b4/3CvDFjxgzwJAlRwtOYHGdy1lnONjbwCWnA8TfidevWJUHjtNNOsw+4aIajO2AKTrNIwjSZ8GnYsKG3ULnrrrsiG2OehqUwmczhh6uYmcBnoxkvv/zySSedRIIBCC9dhBk1Ouxr4wFMwWkWSZgmkxPwkoTdJW9ea0/2HItwgHkameJ83ngja7lhA4lOZJo0Ue05ldiE0Z9//olxVkkDyzZhumXLlurVq5MQX8AhTgEDfqASwyiA5w4J1rRo0QLMpk6dSnIk8RT6rk4YPAMXLybRlP79wSZjfRNzBigsLJw+fToJZvznP/9p1qxZmzZtJkyYQCoLVMI3BmBo2ZKQmTI5RNwwtXLlyuPHjydt9llE73Xq1AmrHnjgAdJGmPCTOwL7RDwVW7UquuqqzMiRRWefTRpI63H/qWSugKiikg9eeeWVQPrJPxg/tiRkpkw+WL169S233CLu3NezZ88vv/yS6uKAp9D3c8KsWlU0a1bRlClFv/xCGkaZSZMm+c9W/nuICjARp7kkZ7IM4xJPoc8nTP6oXbu27klprkhUsuPkzjDWcHKPH2XLltU9/0URyHRbt24lIQFwcmcYazi5x5LevXu7SlvDhg1LYJqDGTlNipM7k1o8hT6fMNEAMlfp0qVJsOCNN94As7322ovkJMHJnWGs4eQeeyB/IQMHDpw7d+7PP/88adKk2rVro7JDhw5klzw4uTOMNZzck8N777136aWXnn/++WPHjt28eTNpEwwnd4axhpM7E1s4uTOMNZzcmdjCyZ1hrOHkzsQWTu4MY43X5M5//BeRP1s4uTOphUOfSTKc3JnUwqHPJBlO7kxq4dBnkgwndya1cOgzSYaTO5NaOPSZJMPJnUktHPpMkuHkzqQWDn0myXByZ1ILhz6TZDi5M6mFQ59JMpzcmdTCoc8kGU7uTGrh0GeSDCd3JrVw6DNJhpM7k1o49Jkkw8mdSS0c+kyS4eTOpBYOfYZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnGIZJIJzcGYZhEggnd4ZhmATCyZ1hGCaBcHJnEkuBBgkMkzI49JnEwsmdSTMc+kxi4eTOpBkOfSaxcHJn0gyHPpNYOLkzaYZDn0ksnNyZNOMl9DtpkBAy0Tw5b7755mnTppEQJrk5SlLxkNwhsAcNGkRCyEQztkeMGJGDqGvXrh2cRCQw4eAuvLp164YnDHLvvfdSRWjAUaikAI7KCFUrsHjxYnt77FCGKoJm69atofafBlw5EI0FpA0TV0fBURmhagWaN29ub48dCurVq0cVgUK9F0NaJgTcOTf3i+HtiNBqn332IcEN/fr1szkiVOlqbYz9IA4UUv8pQbhRhdy72tsRPY8z6wvrtsZaG+OgMB6UCRB3nrVZCVwngGQNFM855xy5CssTJkxAEdBVYRnRifBuzmhjBAx0yR1bASQXg0oYoSgL0EDGVIlMmTIFWwGk0oC3+Ual2JU7fgKga8i4Ap1MghM2ltgPQLIGiqgXn1KiiGUExXXr1llVCdAAINkCowG2AkguBpUQmaIsQAPBiBEjjEoB7ngA2PuTSgOVAMka48aNQ+WKFStIZQ1aksAEjTvPWi0GKCF8oVCjRg3ZQDPPIpchrWMEoA0AZXgPiJqsRckqKpWsgsL8+fOxbARq5eSutcs2xHMMlYAoY+Hmm29u06YNlKFg/EAQ9GhmRK6yKYuCadkU+1rGHkf3ylgZC6XOAEWIWwwq3HYsXrwYQ4iMis0AUUY9oCujqAtRI7paEOHQUNAlaFHGAsQzFIBcxnZhYSGWrZDtmcBx7VlcD4BkA3IVlHFTDMArua5KiHIZkEWdnkqG3nRAlUjueNZhGYAyirjXRqXA5mMZrZ3lEWWEGRTwNU9G14l9n4pHZEwB77lyINoDJBuQq3RlK1EuA7IoClYhaoqNpRBFQcZUidhUycB2SpiZ2uuUjn2qHJTxjEfnwqoAptfMyAsmlwFdlRChAFkVy4C8/ZcLwDQJUWUEqkRy19qZN8QqLCPBJnf8Cuu0005DEQENjUPDvk/FIzKmgPc8OBBbbd26lWQJuTe5rPsePtu+WJT1gGkVKikgNESVEbkKyhMnTqQ2WitRK5cRo0ZgU6VDmGGTmTNnoggMGzYMNDQUDRCpzgyoDek7WwZRWlFTsmtbcqUFqATkMqCrEiIU5OQuv8GUCwC+qRRglRGw1CV3aqAhX+SDtQCKnpM71gpIq4Gabt26CZHGUQzqTQFjKjHu0RzvxYFyQywLUAnI5UCSO0WDhs11aKIVAGVIqdRGA0ZCdcXdArKIZR02VZijZahCAzX49hTOOCjTOIpBMyPYkAQmHHz5F5dHlxCtyoCuSohQkJO7rgoLhYWFouwIWOqSO5atAAMIYijYJHfAqgr08IJEgoWZUNr0b8SVMaMDvOfNgYMGDcKGuh6syoEkdyw7IltC2XHzK+yzx7A4Cmz/rap0eqOZ+HgTLxNApT1gpmjJ+MGdi+WrO8QK4cXvqASsyoCuSohyGYCy+Kpdp6eSE2Apkjtg2nDUqFFU0gzwbbjjR/m6WhThX/xSC8uo1CGUUBC7eEdMu2IUya6EmgMnT54sX90hGooCYPVtPGCf3EUZUCnbI1tCDJs21MW2KJgaI7paMVlZqZmY9CCUUDD9OEtG68OkEyZw3HkZF0ZAWls9lTR0VUKEAm6ZBagH5DKcgVgroAoDUCUnd/wQX4CbHRKKQUuAZIvOqa4YVIpLGwH5pQ41iO7STxnSSlCFhPx2m1EEXUeCE2gsIK2tnkoKO3fUIKgH5LJpiJoCtVTSQHuBjRIguWQPAqorBpXy7xbllzfUIKhBSFUMaSWoQoIqmKCJhGdhgeWPZRgmEKKQO/I+ACa1cHJnEouW2zm5MymFkzuTWLTczsmdSSkceUxiiUJyZ5h8waHPJBZO7kya4dBnEgsndybNcOgziYWTO5NmOPSZxBJScp84cSKVYkjgDpF//MVECtcrbQwOncYxesI434JCvhWazTjxDvVYtp+OTS3ei8O+OeMHb+51vNGF/Hu02CFPzf7XpMLS/gd0jj+vg37w3h5Mjgkg9O1FI44GecT0PpdGwEzcq9p+Oo6TnTx5MpWYoAHnO/rfCDQx/YEo6HHRRXLHW/WK2wplD1bycCjq9CgCoox6ASrFzaJR1JXFPblQhH91Px+Ff/GpCeLGjVBGUATktyCgN30WBxRE+oauQCMiH7wEoqhFEcsC1HByzwv6xbBHPLEIRQRE1Oj+nTJlinyHCijjPVV0ZvCvLlHK/9aoUSNbUQwq4ezCJkZ7+V9ZlJ+1BG0h2sQTauR/jTt3+BeQ72QNoBlq8F/oEG8vgyLeqw/35kIJeRwPKqP4csJ4ANyOnncFZitdQxRxsTC5i48jYK3hX+OLtGkP+C/e+0UX9ojpuYDIZWNyF9twYTZ79mwhCqUoAOJVSmeDoAjeEOkbZwpgzyiimenNoAB8aeHknhdKrIQjupVDhBIL8r9GEYCyLCLyW12sFTaysU5pWgVYmVkVhGia3GURQTO8Ubupmb0oY9QwQQG+detesIdMBNg0xFiVDUCjs4eEKKdOBMvyv4KsnYZcBqyqjMkdRQEYgBIBEf+VC4B80gFyFSAaYnKXf2YISrHrx1rQCFAPiDIn97xQYjkdwcVDSCUtIRbkf40iAGXYxWN0Cj3G2b333qtrqENXK9uYlnVmxgIiRFfJHQAl6kWtvajDSs8EArjXrYeFve7xtvimE9+cYayKZIcbWN0jWQDsStygEUV5PKZjE0p7e9w7A0Yzge4+l7oCoJLcAXFzefG+Ez8ywpSNbzXEi40pnNzzgklMWCGvva4MyJ/A4L/w2g4hKESIDHE7RuO/GGdQAOSPXAD5aS+oPOecc/DcAxEiGJW6srhTo2glF+CElD9FEf+6Te7iiHBuyx3CTOGUEI+Ugn/l98gIlOGUAPDkkauYQACXuvWq/B2jrq3oTeRE1IgPK1DEMoIi6gGhgRcG/LwR9QCUBajBBCpEqzKAZVTKiDtNoohlAEVAMbnLBUQWsQygCJAsgcndtIoJjwi5W9ykVxdzDOMNq1yTR8R4TL+zZZgAiVzoIyQzjA84lpg0w6HPJBZO7kya4dBnEgsndybNcOgziYWTO5NmXIQ+XtqB6H7UkwPEierzuPL1MIp4aKJCgN3iTyVJ0ND9styn02JKNmLcTBwvbxeAJvClx25NEVU2Ngj+Is8Kx+ZGPDSxBzpESFZAd+2pEcg5VNKQ++9X/ARmFBnEexyouNLKxvMy+F+/iCR3mIirudgb62pBlK840l1amh5gyh5mLTcxLr3xkm3xA05ArpX1xp+PIrK9qBJrJ/cACGO5E+N4jFPW2ag0QXQDAHRthYGxT8TYs7jEU4fpGKy61V1YbCwwgGtfyH4UyBosI0IDm31RlvVYAFAvQxWSmbEAZE0NerzdB5bxvMIyIJ+upCrZCaATsQkJWi2+ccEyIh4Sj6Iow0hEWYdOiWaAELEAoB4guaTG9BAiQehuGJIqjG5RQW6CZaGRb1khwAQH6QbTlqhFvfgFkPElFn/fJH79JKpw7YSINzZAUf5XJ+qUCHRlY2Mv6t78CYQxFuR712BBoNMIEQtWIqKrNcVoY2OcQlz7wsqhpv51NEaMv+4T6CxNG+qUiFBiQYi65C4X7JuY/t7PiGlXcgHQ2SAiC5jWWommxoBI7nKVUKYEmLvRM47ITUy3AgCpNDCJC6XYzIqCvLMRZgj0LzSiIJK7QMQGAhr4F5I+1gJCKRcAXRjobIyiAEUxBYFcK2sQ1Ajg5UFWijIWrEREV2uK0cbGOIW49oWVQ03d6mgMBXjnZfp0bJ0lgiKcLSgiOhtEpxS/GbFJ7vgTcyGaNhHgfpkE7WXG+PtbuSDAX+0KSCuBSl2VTtQN1diPOKvFT8NSCLjF6BlH5Cby0uvuYSfAz4JFK7FT0emxIHculwEhiuSOIiBvLABdQ0Qo5Vq3yR1FGfn34fLLmK6tFXKtromViOhqTTHa2BinENe+sHKoqVsdjXWijPg4BUVEiPKZZtrctCH8a5PchYgJUddE1ApkjSiLVrJoiq4KRfwwUYhW/QhRHqqMOKsBXVfpAabsYdZyE93rOnYIkKwhNFgAZL34rg9AJdYCqASEiAVcO7ylKCByPSLKOqVRBHTJHQuAOH1QBKAMuZsEqXPNikANgGVUAqgESDbTAFOmTEElfrqFt+5AQMQbFGuGBFaZvqbizYcREKlU3FwUUk6QXoDEZPwCROyydVVCL6chV8j7d3l/IR9I7ly33zdF3OYJ0TWRRWNvVv3DeETKtkfXg24w8hwBXa09VmNLNvIJzzBpg0OfSSyc3Jk0w6HPJBZO7kya4dBnEgsndybNcOgziYWTO5NmOPSZxMLJnUkzHPpMYuHkzqQZDn0msXByZ9IMhz6TWDi5M2mGQ59JLJzcmTTDoc8kFk7uTJrh0GcSCyd3Js2kIvQzmUyPHj3wVBcUFha+9tprZMEkEVxoEhgmZSQ89F966SU8w/FGdDr69u2Ltdu2bSMVkyBwcUlgmJSR5NCHE7tNmzYk2MJZIJHwsjJpJpmhP2TIELdn9S+//MKJIGFouZ3XlEkpCQz9du3aeT6loeHu3btJYGKOltvdRAIY819Qf0y+SdoajB8/3t35bMBncyY6aLndfXJnfMJujAZJWwP/qXnnzp3+O2GigJbb3SwlZ6VAYDdGg0StQVBJuVWrVjfeeCMJTGzh5K7jpptuQp8I/vvf/1JdgCTdjXEhOWuQyWRKlSpFgm8g7qnExBbMXySokNCs1Lt3b3TFnXfeSapiRo4ciVUXXHABqfyTUDfGjuSsAQQolcyYM2cOBrGAKixo3br1999/TwITT1QWugSJy0q33HILeGDYsGEkW3PFFVeA5QMPPECyHxLnxpiSnDWwP42hVmxb9ttvPxAfeeQRFK2w75CJPrCC7hYxWVnJ9fQ9NTEhWW6MLwlZgy1btrj6TAYiuHz58iRYEECUM3lFy1RuFjFBWQkm7u3uGvfff787pxlJkBtjTULWYODAgZ9//jkJCkD4NmjQgAQL/IY4k29gBd0tYlKyEsz622+/JcE9r776qju/6UiKG+NOQtagUaNGsHknwYl9991XJXYrVKhAJSaeZFO7qyyTiKwEb2EHDBhAglc6depUrVo1EtySCDcmgISsgco5jKc6UKtWLVLZAq8BO3bsIIGJIbjcJKgQ/6y0fft2d1O2xns/8XdjMkjIGjRs2BDCmgQLVqxYMW/evIEDB2qnfMGCBQuowgLeuccdXGgSVIh/VnI3X1symYzH3uLvxmSQkDXo3bv3/PnzSVCgTJkyjoEb4HnC5AVYQXeLGPOstHPnTvvLCtAhMlRhgaOBOTF3Y2JIyBpAZle8uy+ya9eusCI7IF555ZXsyWdGhw4dyIixBd1Fggoxz0ply5aF/E6CGeCNSpUqHSpBFRb8+uuv9erVI0GdmLsxMSRnDVydxpdccomjPRiceOKJJOSQgw8+GA7dqVMnkg18/fXXYACQzFjg2ktgHGevOk4WDNq2bUuCGu4ciMTcjYkhOWtgH4VQe99992H58ccfBxG2OSiaAtn/uuuuAzNBDp7Jt23bNjiQ+m1twLhq1aokMAa0dXMT4THPSo6TBQNO7ukhOWswd+7cmjVrkmDgsMMOy57oxYBIFRaADZW0y8KwlcDxy1gP3H777dAzCcqcfPLJHlqlBG2t3DgHjOPsTMdLAMAbnNzTQ6LWwEsgmnHbbbfVr1+fBImlS5dWqVIlmzCK6dq1K9X5Y8SIEdAbCS756quvPLdNNtoSufEMGMfZk45v49AhAvFe1gYwo5I6MXdjYkjUGmzYsMFLLBpQ6eTDDz/Mnh8S119/PdW5ZMWKFdCcBE+89tprPntIJNqyuHELGMfZjbDzoJIFmzZtwsKvv/6KzrnoootQY4U7ByIxd2NiSNoaHHDAAc2bNyfBEx6i+cwzz9TOFKJ06dKuPreBJlTyQcWKFR977DESGA1cDhJUiHlWsv8ayYiKf9w5EIm5GxND0tbgoYcegnDs3r07yS6BtpMnTybBEy1atMieMcXss88+YrtkCpyQL774Ign+gMNRidHAJSBBhZhnJbcBoOIft31mibkbE0Oi1qBmzZoQi5UqVdKC1vXUoMn06dNJ8M3HH3+MwxCYPg8B9FQy4/77779XAkSqMOOGG27o0qULCYzmW3v36ol5VnI3WTX/uO0zS8zdmBiSswYYqf/3f/+H4mOPPQbinDlzULSnWbNmYExCCNx9993a6P7hrbfeAv3gwYP/85//oI0pZC1BFRY4GqQKFY+VAIzj7EDY3CxevJgEA7q3pHPnzgXnHHPMMSSbARuU9u3bk6BOzN2YGBKyBlancZ06dUB/8sknk1yStWvXYsPbbruNVOGj+9yGtBaAwe7du0lQwLHDVKE52I1DwDjODuzYsaPNfPfYYw90iAzVWeBoYE7M3ZgYYr8GeCGgfRQ++uijaKOjYcOGZJEPlixZAmMgwQIwcJXcR48ePXbsWBJSj7bIbiI8tlnp+uuvx8kCpLIA9jFHHnnkTTfdRLI1+JM6ElwRWzcmjHivQbt27VQCOrI4jhwMXCX39evXN23alITUo4WGm9iIYVb65JNPcJoAiN5v5WjAez8xdGMiifEaaPGcn9u/BIXj+QMGZcuW1SZacMMNN5DWFrCkUupBv5GgQqyyErzq4wQBUml06dKlbt26JHilevXqPXv2JMEtsXJjgonrGmBML1++nOR44vjc12bNmg0ePLh9+/Y4X4AqrFGxSQmKHvuH+GQlnBpg+gAy0P/73/8mwT1du3aFHkjwQG7dePPNN2ueyFK5cuVq1apVqFCB5IKCmTNnkl1e+eOPP2hABQUwPBhk1apVSS4oOOuss8guUOKXCNatW4ceITnOuJoFvuO2/0kh2BQWFpKQerQwcRMnuc1K3sBJAfZpCwyOPvpoEtzQsmVLaEuCN3LlRs0NBeeeey7JZhx00EFgE9RtQjwwZswYGMDee+9NshkjR47UphKw06IeyjqGDh0ahhfyhduJOM597ty5Z599Ngmpx9FdesA4wqElfsAxbNgwUtnSsGFDd9PXPAZvFknwTPhuxIsRVO6Ng3To0MGtKwIBDrrXXnuR4MSsWbPA3uePKGWiG8pG8NPnBg0akBx/3AYc2Jve0UxQunRp2LyTkHrAXe48HH5W8sYZZ5yBc+nYsSOp1Ni0aRM2JNkaNAsmeEJ2Y9++fVVmZARaKf7wxT+eH2YLrfbbbz8S/BHFUDYF5gy8+uqrJCcCxzs9yYwaNQo8sHHjRpLNAAMqMcUxQ4IKYBwxB9511104C4BU7vniiy+wh3322Wf8+PGkLSqCcqNGjbAK3vOR1j9hurFnz54wWhLcA22/++47EsLEzyD32GMPm7uXqxOtULYiG32hhUt+KVOmDJUM4KwbN2586KGHYrlOnTpUZ4HbW0clG3QaCSqAscswy4wdS62Mf+XKkZEn8JMHhFS+gT6HDx+OfRYWFt54443Lli2jugDB6YfA7Nmz/XvDfw+O+D9EqVKlrrvuOhK8Evo8fYI3s83BeuQL+6ndc889OP0DDjiAVNbYd5VC0HUkqADGyvaZevXAePexx5JsZOtWeLEFm8zHH5NGjZ07d+LIAftnonpj5cqV0DMJYeDGja4IatihTh86t79XoCL+BxnmGvumXr16MMPy5cuTnETwU1ESfLBo0aJQQzaOgEPc+QSMVezh1IWUfdVVJDoCW3jlYeCYgfXr15MqaGKa3GHMH7t8mbSiVatWgwYNIiFQ5s6da/Ne3BU7duzwuUxhrrE/sgFeUHD11VeTnFyqV68+ePBgErziMw4SCYYQCSooZKXMmDGONib8/LNjKxwt8Oyzz5IqHOKb3Klkwfbt2++8887Ro0eTbEtIHlDs9quvvlJ55IPPQYYyQ//ArAD7Lw+TBEzWz3NZoXl4G734ogWRmwgHY1v7zMiR9gYOWLTFm5ICffv2JVWYxDG5d+nS5amnniLBDHSgDFVYUL9+/Xnz5pEQHKVLl6aSNTi8cgpfyaxZs8bVNRc6wlxjTyxfvhwnT3IKeOedd3DKkyZNIpUboGHOLvCKF+hVElSwz0rr1tnVKlKyh0suuQQHue+++5IqfOKY3O0HDHv21q1bk1BUVFhYCPa7du0i2YLAnVCvXr3NmzeTYEbbtm3hoG3atIF/VZI74GeQIa5xJpOZPXt2//79YUqXXXbZ/PnzqcIafJa/n/nEDghKmG/FihWh7Hbu+DwQEhgDbv0JDbJ/VgTh6syzz2a/ZS0qevHFF3F4AFbljOQldyNg/+STT5JgQeBOcOxQGEAhrskdBoQMGjTom2++WbFixYcffnjBBReQ1mK4WHXUUUeRnAJwyr179ya5+Lnbjk5YvHgxmCX7q2b/aN51E+FgbGVfqVJRUPdS1g7hemzBEbvkDttElY87ZGCCv/32GwkWBO4E9Q7BUjG5H3LIIT/88AMJLgl+eo4zNP3VHGqC/CVF5MEpf//99yRLPP3001jbvn37KVOmoBJeI/v164d6xchIOegrElQAYyt7V/04EtRvQT0Ru+S+aNEiVz/NvfLKK1UmCDaVA0Xdq2CpeAo/8cQTt99+OwkuCWwNIAfBiNW/AsWnIC1YsACiHAoAVaQDxSmvWrVqwIABsEMHIL5nzJhBFYwCik7+BzA2tb/22iLFq7awB8eDOhqESeySO7z7P/XUU0lQQHHd0SxYqGsnwFIxuU+bNs3+XoE2BLMG3bt3V5+YjOaQLCSngKVLl6ZtyvnCtZ/B2NResZOKFakHR/vbbisaNYrKOSd2yf2333477LDDSHBCfdEDd4J6h2CpmNwffvhh9fuj6Qhgeng/ZRLcA23tL3JKEoMHD4b5+nEXo45rV4Oxqb1iJ2hm1YkOxT5DIMFfqOLPHklwInAnuDq0YnKvUaPGunXrSHBJANPz76PAvRxNatWqBTPN5UVvKQe87S60wNjUXqUTsKlRgwqK9nkiqcn9gAMOALMdO3aQ7ETgTlDvECwVk7ufQfqdXlAOCtzRUQMmCDzxxBMkM+GDPidBBTA22q9cWdSiBZWtmDPnn4amnRhRsQmHRCZ3vKR4w4YNJDvh+Za8NnTs2FFc/mAPHDrqyX3SpEnenvZipFq1arNmzSIhccAK+Vkkxhuu3Q7GRvsFC4qOOYbKVkCrm276p6xyUBWbcIhjcr/33nv79+9PgoFbb70VZnTVVVdBQYaqzShVqpT9D468Ye/YuXPnvq8BZmXLlsUy1ZkBKVH+cZZbfK2BSoj88ssvYHbhhReSbI1Kb3EE5pXUqUUc154HY6M97NxbtaKyGZlmzUq0Mu3EiIpNOMQxuQM2Y9577721pdZD1WbY13rG8aBGqM4M+1pHvDfetWuX47G1wWcZMGAAqawBMyolhVdffRWnTzKTW1w7H4xN7e070dVadaJDxSYcYprcDz300D59+pDgD5j+9OnTSQiULVu2BOVb2NS7/emWDu/jOP744z///HMSzIBJ4l1voKCS3CdMmGD/Tipe4IOG+UekeQT8D5CgglVWsulk4UJqZfxbvJhsTAGDPBHT5A4EMuyFCxeGOn3o/JZbbiHBB/4H6b29+rHBUiW5A6E6PZfARICgNhqMN3AVSFABjE3tA+lEYvf99xepPeQ6DOKb3AH/Iw937hpwCJ8f6EMPf//9Nwle8T5PdR+BZaqSO8wC+PHHH0lm8gQuBAkqgLGpfe/emXvuobIjVp3IuBpV0MQ6uePTB0lwT7gTl4ADbd++nQSXQNv74eXfN7lwE1imJ7nDFBIwC//MmzfvoIMOqlGjRunSpWvVqtWyZctffvmF6nKF67UAYyt79X5sOhGo9xYCsU7uwOrVq2H8bm/OM3Xq1HBnbQAO5+FZQ9Bq8uTJJPjD+2zVPQWW0U/uBx54IBzdyF577UUWTuBneQDJqWTOnDnohLZt28o7l507d7Zq1Qqrfv75Z9KGDB6OBBXA2Mq+TJnMG29Q2SdwiG3bqJwP4p7cEZiC+gPttEDIw4lZqVIlOO42teXGHzmSEATe+1IfB1hGNrlv3boVDgqY3p0RECl77dq1pDLjsssuQzOS08fGjRth+iqvhfgbccdnKfhHWxA3KwLGNvaBLO6sWcH044NkJHcA748NWH0EOm3aNDTYvXs3qfIBjsHqJiv4QRNw2223kSogvK+Bq5dNleQOedbPM6U8gD4lwQkb44oVK0JV06ZNSU4f+IgZEtQA+y5dupAQDtkFczUqMLaxh5d/l3M0wX8PvklMchcccsghuNY6Tj75ZLKIAPIDLWSaNGlCFkHjfQ2eeOKJK664ggRbYAIqyb1r164hXXxqCozqkUceIUGN1157DVqRUEx2fQoKnn/+eZLTR9myZeEdJQluqFChAj6CKiRwaUhQwSkrZSBZ+ElbftoGR/KSO2OKrzVQDBEwU0nu4QZcSeBYnp+WII8TysDOnTtJTh/lypVrZfsDTnvq16/fqFEjEoIGV4cEFcDY0b5rV2cbU7y1CgFO7inB1xrYh4h2ZumhOjPsawMEDuTnKlRI5dDD7t27s/NJdxB/8MEH/j0APfz0008kBIq2Pm6GB8YK9pl588AsM3UqyY7Uq6fSbc7g5J4SfK0BfhtJgj/CjTYJ2Cf26tWLBK9cfvnlVatWzdmYI0vEVx+6ddczGKvbV6iQNba//r1mTbDJ/Oc/JEYDTu4pwe8aQJQsWrSIBK+88cYbPu+ioE5QYR3u6REHDjnkkOeee44Ef1x55ZXnnXceCcEBa+Rumdxnpd1dulAr7S/TqJEsFs2eTXZRgpN7SghgDfwHSrihJgEvIb///jsJtqjc8l/9eqFEYrpqGzZsAD28rSFZAvQCeM9H2mJASaXgwGORoAIY+xyG8v3E8wgn95QQzBr4iZVw46wkiscCM4RkCxwNEsycOXPq169PQjHoNKB69eqkKgb10Epc1UsVxdSsWVP9SQuKmB7IDjBOwZpyck8Jga2Bh3DJZDLhBllJ1q9fb8xHRqZMmZJNCRqksuDggw8O6ZvA6FOuXLktW7aQoCE8Bv/qkvudd96JVQLNtoQG9vKm+30/GI/iABi7so8nnNxTQpBrABGj/iuk8uXLhxthBho1aqRyKx8YFd6GwnF4O3bs8HZ9dwKwcQ5U6ZK75ssS9mXKlNFpAKPGJ9ph3fQJxkGPIYKsXbs2cFeXIB1ujD4Br8GYMWMgbuxTvHbGFUyaNInkXAEHpZI1tWvXRjNtjM72KjaJxGbiUGVM7rovzO+44w5jD4E7Ezp01ycYBz2GiPD222+jNwB4ZS1btiysCMkFBR999BHZBUJy3RgvQlmDn3/+maJGA051Kmn8+eefZJdb4NBUskbYaCN1YZ82bCYOVcbkfuyxx5KgsXTpUmMPgTsTOnTXJxgHPYa807x5c3BCy5YtSTZjv/32A5sOHTqQ7JMkujGO5GINIvIDTsfzHAzEI8mh7GgPqNgkEpuJQ5UxuZ9yyikkaJjelTtwZ0KH7voE46DHkEfwO61TTz2VZCcgubtzlxXJcmN8SdEa2AfuokWLZAMo29sjKjaJxGbiUGVM7rA3JEHD9ObagTsTOnTXJxgHPYZ88eabb3rzJ7SaOXMmCd5IkBtjTYrWwD7WoXbkyJFbigERgAJVWwA2VEoZNhOHKmNy19nj5wAkFGPU+EQ7rJs+wTjoMeQF0zvcqQNtfd3CLylujDspWoO2bduuWLGCBANaHjBh0KBBZGFg8+bNfu6ZFWtOP/30L7/8koSSgNMck7tR8+CDDw4fPpyEgDAexYFEZCW89xEJXvHVQ8zdePPNNzdq1Kh8+fLlypVr1qzZ+PHjqSJuxD6UXVFYWEglJ7S04OCcSpUqeb61ZAKw8g/odcl9x44doBQ3177hhhtA1P0G2NHbHoA+3XULxiEMI8cE5Unv/cTTjXXq1NHipeDee+9dt27dbo0///zzmmuuQf2+++5LpjEh9qHsClghKjmBy0mCBeq9JRLd9DWH6aG6oqLjjjuOVBrGJwGAkkrBgcciQQUwDmEYueSAAw44//zzSfBH+/btjzrqKBJcETc3wp4P4sTmbT3y8ccfg5nu26MoE+9QdkvXrl1h20iCLVpasHPO6NGj999/fxJSCT6AkAR/QD+Op5YHtDV0M8K4ZSUjivP9/fffv/nmG8eLkt15TxArN8Ic77zzThIUOOusszy6JefEO5Q9ENTCQD9xWeMw2LRpU1AeWL9+fUiedD1CMI7zmv7vf/9z3GsPHDgQ3SKgCjP23XffNzw8FjwmblyzZo399G3w3DCXxDiUveH5EjGZMmXKTJgwIXtmFBSE+qC4aFKhQgWcO5TxXz/478EKbYxuOgfj0AaTAxwn++yzz4LNvffeS7IC7hyIxMSNXqYm4bN5DojBGgQO5Cbdb2pcMXTo0FKlSmH5xhtvhDUGXn31VdQkG3g7j/MVj5/Fy0ax7AE/bR3RRuqmfzCO/Blrg+NkwaB8+fIkqOHOgUgc3OhlXgYC6SQ8or4GIQGrctppp5HghgEDBhhXFDQIyQmFJmmY5qpVq4xKFby1UkcbrJtDgHHIQwoVx8mCgdvru9w5EIm8GwsLC+GdNwk+OP7444855hgSokeMQ9kn2fPeZQja3MlSfAbdsGFDUiWIP/74A2dn8wYFao8++mgSnDjooIPAnoTQ0Ibs5ihgHP6owsP+E8LRo0ejN7Zv337TTTeNGjVKJdG7cyASeTd6mZQFAXYVOJFeg7DBz9/HjBlDsjUPPfQQWI4bN45kC84++2wwA7777jtSxR+cEUCyNWeccQaYNW/enGQzGjduDDaXXnopyWGijdpNhINxhM9VR3Q/L9Bx8skno0NkatSoQdUWeHncWLTdCLO2fxzbN998g84BHB8g8+CDD0Z2857q5I507twZF3LOnDmkKmbu3LlY5eqGedgEIDm2zJo1Cyfy1ltvkUqBDz/8EFshTZo0oZLG119/TXbhg0ckQYVoZyVHKlWqRCUzDjnkEJ036tWr5+gfdw5Eou1G+xlBLbD//vvjm0tgttODcMGGShEjumuQezp27IjLKTjyyCOpziX4MTRwxBFHkCpu4PgBkr2yceNGKuUc1+MH46ieqCrYT/aUU04xGoBm3rx5JJjhzoFIhN24fv16+6dN9O7dm0oaMH1HD3hxUU6I6LCSAbw2YHDk6xb23vjss89w2FZ3j4kLOAsSVIhwVlLBfrIvv/yy0QA08+fPJ8EMdw5EIuxGeIWbMmUKCQrA9B09cMkll0yePJmEKBHRNUgSGB8AydGGxhqT0drjeiJgHOeJO04WDCDFk2Bx6ZcOdw5EIuxGt9MB+7333psEC3788cdDDjmEhCgR0TVIGOKze3HzrAiCXy8DEKykijk4HRJUiHBWUuGRRx457rjjSDBDdoj4yQKKprRq1erFF18kQZ0Iu9F+vjJff/21o38E6t3mkoiuQSLZf//9MVy2bt1KqsiAAwNITgSuZwTGMfeA43zRJ0j9+vVJawHYUMkVEXajyow03xCKV8KAJZWiRETXIMFg0AAk55vnn38exxOvLwZUwHmRoAIYR/IsVWfvvfe+6KKLSPDHCSec0K5dOxJcEWE3uoqHzZs3q4TQunXrGjRoQEKUiHcox5T33nsPg+byyy8nlRp33HEHNjSycOFCMnIDti1btizJyQJnR4IKEc5K6ribsjXe+4mwG5s0abJ06VISFMCf79nve+66666HHnqIhCgR+1COL9WrV8/mHrXTAC2vvvpqkg3gZblnnnkmyU48/vjj2Ofq1atJlThwgiSoEOGspI7Pu/0gvnqIsBshs7t9ehq4YsmSJSSY4d/bIRH7UI47EBmAuBOZkYsvvhgMFi1aRLItw4YNA2MSrNGOmYXkhOJ6jmCcCJ88/fTTfhYX2r799tskeCDabnTlGfztCwkW+HF1qER3DdLDo48+CvEBjB07llTFgLJy5cokKAOtrO6pMHLkSO1QBevXrydVcsGZkqACGLs/UWFbJ57QJsj7tXFPPvkkDIMEN0CrN998kwRveHJjzrB3S3bxCgratGlzxBFHYLl9+/ZUZwa88QUbEiJGdNcgbZQrVw6DiWQtzmAnToJLoO1ll11GQjFa9863E0kMOF8SVABjN/Zly5aF/uvWrWv8Fe53332HtSeddBKpcs727dthAPDOj2QnTjvtNLDftWsXyZ5x6cYcs2rVKps3ygCcIOAHoEKFCps3byatBWBGpegR3ZGlE4yqwsLCqlWr+rwoHvpZvHgxlq+44grsWfdY6mSDUyZBBeWsVLFiReh5y5YtJFtz3nnngeUHH3xAcs7Ze++9YQDHHnssyWa0a9cObNx+GG2JshvzAswUCOREmDt3bunSpUmIHpzcI8e///1vjD+SfYCdYG/wgoHK9IATJ0EFtawEfQ4aNIgENVyPJGjuueceHAOiu5ubePRKMKi5MfeMGTMG54sfhJLWB4F0Eh6RHlxqCSpopk6dmo3lggJ4h06qNIFzJ0EFMHayd9ehxFFHHeW5beD89ddfVAoDBTfmHi0WsqDoP79Dc/HOOJpEbg2Y1157rXHjxiRYs2zZsnHjxjneBclnBMea7KnsavpgbGvv05mdO3e2/7Q3ITi5MceULl3aNBLat2/veUGh4d13301CVInQGjCIY8Bt3bo1G6oSVGHGk08+efzxx5OQMhydoweM+S+ovwggfvR3/fXXk6okV155pbsI0YAmH374IQkRJhJrwMg4RhsY7LHHHiQo4CF8kwFM3N3cwZj/gvrLN7j6AMkW7Ny5E2wcb7ODVK5c2bHD6JDS0z6yfPvtt+o39lMkRuEYLB58ZUWAPpwwYcLBBx9MQupZu3btDTfccLTGyJEjQaQKH5QpUwaXXv2yzhdffBGbfPTRR6SSeO6557DW/sEmUYOTe7To3bu3/fNXIcJOOOEEEtRI6q1jHMETkgQfLFy4sFq1aiQYwKMYoWoz7GvTwJAhQ9BLe++999ixYyFpAvfeey8+Yhe44447yNQN4veAF154Ialc0qlTJ+xB5txzz6XqWMHJPVrUqVPH/gpcCLXZs2e///77FStWLCwsHDBgAFVYU6tWLSqlDDwzSfCBfSddu3aFN1sypUqVsm8CGS2Xz5KNFPhTKUjuJFswcOBAMBs8eDDJCoA9QnLqYUdEC8fQxPAFGjVqpHjrMdgN7d69m4Q0oeIcFdx2Avb16tUjwQz8SpyENAGzhhc/EhRo0aKFiqPw1RRQ+VlZenAfYeBr/gvtD2J5nUEp/wHzDZrhJTW6v2oGTXL+bNF8E0AOddXJRRddpGIfyMDiBUzZwyZjw4YNNr4aO3Ys1AJuf1aWBtxHGDia/0L7u7+g4BmDUv4DPjFo9iqp0f0BOk1y/mzRpu43h/7999/77LMPCQooHtT/wOKFz/maNs86WoNkpiTu/QKuZG+GiX2wQu1hhx1GggZo7O8KkszoV4hDmLj/uS9evLhDhw4kODFt2jQ4osrvgf0PLEYEMlm5E7y3D+B4Y680497p4OI0xWXukYPYCMY0CUVFy5cvB9H+ki/ZPjkoxKHmKr9zX7p0qe7V1Ab1I/ofWFyoVKnSpEmTSPDBiBEjatWq9dJLL6GTe/bsSRWMBe4jTOGkiiNz5sy54IILWrZseeSRRz777LPwZpwqck6VKlW2bdtGghkY3BMmTGjatCmWqcKMBg0abNiwgYQkoRCHjs5RYePGjXXq1CHBFnwEkuMNIRD/A4sLAc40u5waJDO2uHcTeDZBzm3UqBGGS9++fWfMmLFmzZqVK1f+3//9X/369VH//fffk2kOgeNSyQIcG/D666+TygKwoVLCUIhDdBEJPlDsxNXh1C1jDUzT8bEw4lz76aefSGUBvItKxc15AsJ9hEFQJiIu4d0ixNPcuXNJtgDDjoRcAUf89ttvSfBB6dKl4RWLhIShEIdBrZ1iJ2DWvXt3EmyBJLXnnnuSkGjsXffMM89kV6igYPjw4Vi47rrrqM4CsKES44R7T4FzY+5fvJvE9OnTSVYA7Pfdd18ScoL/IJ4zZ06SzwSFOITpB+IB6MTxAmq89SAJTpQtWzbcm+5Ggx9//HH//fcnwQzwmPwUSfyalAQLatWqxRezK+I+9BVOqigze/Zsbyd827ZtvTX0Bj4jjQRP5HK0eQBm5zRB8EAgTti0aZPjA3fgQOqfGICx/U0mkkGzZs1s7ni+fv164+qAZvny5SSYMXPmzKOOOooExhb3oa9wUkWWHTt2+DnbL7nkEj/N3QLnv7fDQTLK5TjzA0zQaY7ghKD84NjPZ599RiUnTj75ZBxYlJ/QFgj2Tvvzzz+NBqBxvPC0TJkyVGJscR/6sB4BnTC5xz7aVIB3kf379ychfPACjDlz5pCsQPPmzf1PMwYoxCH4IShXbNy4MaiusJ8bbrhBG12SV8p+dvjp6Pjx40nWAE3Tpk1JsCDZTgsQ924Cz8bTuRATW7duJcEHuY8tfI6+4xWNDz/8MJidf/75JOeb3bt3d+vWDYYkU6pUqWeffZYs/KAQh3hEEnxTtWpVeOtGgldgPPJVtjhCSPQkJwuYGpUswOnfdddd8No5YcIEFJs0aULVFoANlRhb3LtJ4aSKIJlMJqiYWLt2bV7Cq7CwMBv7BQWTJk0SF8IvX778xhtvRL2rWzKFyquvvopDev/990klccUVV2CtryfQK8QhHoWEIIDe/NzRG5obP3MQNx8nOUGoTEpMH8CwcfxYBmyoxNji3k3g2Rg6FwIC3gaSYCAbWQZsfkQOtVTKB7DTqVu3Lg7y4IMPfvnll6kiGuCoSLAFp0CCWxTi0Ff/FkCHzz33HAlugIZWlz/il/xAwp5jDu841R+XgYAT7L9QhbO4SpUqJDC2uA99hZMqgkDQUMkM7czSs3LlSqo28Nhjj8X0/v2h8tRTT4HfSFDj119/dduEUIhDbRmDj1Xos1KlSiSoAU0uv/xyEizQBluw3377kRx/HnjggaFDh5KgwIwZM8ADJFjQqlWr+fPnk8DY4j70FU6qqPHjjz8eeeSRJCgAJ5hjkDkapI1LL73Us0+gYSaTIUERhTiEbj0PyZ6HHnoIeu7Xrx/J1uD3JYq3uv3Xv/6lDTk5oeVqLmDs+KqZJOeEjXtPgXPj5t8mTZqsWbOGBAUggOrWrUuCBRxkMj/99JNPh7hurhCH0KfPUdkjLmq89dZbV69eTVrNG+K2P64CD8GG6tdWRhmYCJXMgNrjjjvukUceEXcgoAprVGwYxL2nwLlx86+rgLj99ts5yNzi3xubN2921wkYO9lDh/4HpsJtt92299574+FKly7dvn37b775huo8gV0BJMcQcfULQCoD55xzDlkUFNx///2ktQbMVq1aRQLjhPvoUTipogbEBJUU0CLN2d5Vn8kGXPH777+T4IPKlStPnDiRBEcU4lBbybgu0z333BPf8ePIASy7/szNjF27dmGHjCLunQX+jZuL1WNi6dKlisYcZ4IAXeGiK7B0MobeAhxbXsApXHzxxSRHHvFcX/lmkCBSyQfYLQmMAu6dpXBSRQ31mFAPIPU+kw34wf7e95pH/4G0FpQqVWrdunUk2ANdOfWmcsToU6FChVhMRHwOY/ye+e677/Y5fmiOn5cC3i5FTSHuPa5wUkWNo48+WvHyKQidN998kwRbwJJK6cbeD9lzsdhg9+7dULa/MYiLt95g5mSpHTwJy/Tbb7/hXDZu3EiqiIHDA0g20KpVK5tae6DhmWeeKcoIiowN7n0Ebo2bZ//44w/7W48isG1UDxoOL8TeD7raLl26OPpN1bFgptCVam9xAKdTq1YtkqMB3usYcPwFFv6UmgQ18P4zjz/+OMkaX331lXbAgsmTJ5OKMcN96CucVJECgqBv377wL8nWgI3iTyuHDRum0mHigR0l5GsSDDz55JM6L23bts3Rb6qOBTOFrlR7iwniXj0k55XXXnsNB3PKKaeQSgFsQoIt9pZYC5DMGHDvGvBmTByKvx8BHnvsMfjX/nFfe+65J9iQ4ITWaxbHnx0mm/79+9s88+STTz4BF5FQDGjgJYEEM4xNzFGIw+wKKa9pjMB5vfTSSyQr8/fff48aNapjx4516tQ57rjjxowZ4/gMPCtwDADJbvjiiy+wrelzl4YOHYq1v/zyC6ks+PDDD9EykAdwJw/3a6NwUuWdAw44AFd9+PDhpNLCkUpmrFq1SjHQ4V1htWrVoAD/4lFQn0LAz5s2bSLBDHCO/CF7nz59QGP/aENVfyrEYXZtEro6ODWAZFsWLlyIxrAW999//5IlSzZu3Pjrr78++OCDqAfUL2atXbs2NrG5P4ciDzzwAHYlA2/4qFoNapbQhfaDe48onFR5pHPnzrjShx56KKmKqVy58tSpU0nwgS6M8HAAyWnioosusn/W68SJE8k7Gvithv2docCASvYoxKF2zMSui/AtyRao2AAqZvBeAc1OO+00UkUDfKwNAC9XpGJgTel/dSACInnCjBw5Ehd47733JpUBqKWSV6AH4yOn8fMHoG/fvqRKB5DZ3d5ADbxEJQscDQiFONTWJIqxGiA4x5NPPplkif3339/t9MHeuCtCtONkITl60PiSvuLquHcE+C5i7vvf//5Hq6owMBUbK6pXr37ggQeSYABvNwZs3ryZVEln9+7d5cuXJ0GBO+64w9H/jgYEmCl0pdpbnKlVq5ZxpiB6e6R7w4YNdV1VrVpV6975cTF558cff8ShPvXUU6RKMe5DX+GkyhmLFi3CtQRI5YTnp3aUKlWqQYMGJFiDgwFITjquZgrGgd2RDcycLLPLkI6FWLduHU52yZIlIEKhd+/eWOWBI488EnqAwvvvv6/1WhCvZ1LjmAGSPTFkyBDqRaJ+/foxurmN+/krnFSWLF1adPnlRe3aZY45puiJJ4q8flMP4OOQEFK5AVodcMABJDiBj2l/+OGHSXZiwYIF2rgi9Gik8IBp2tw55NJLL8XCypUr0ScoWgHvfr744gsS7FGIQ5UjJgmcL+D/Wnhx9TpAqlghroUfN24cqdQQDe+55x5SSfz000/46KjzzjuPVBHG/copnFR6TjqJWkGymzq16I8/4C8zcmQRbIRR7/IWeuh9gGRPXHTRRdCD/dOu8U623g502GGHYVv7K/9iDU4QINkAVWuoPOACzKjkCFg6GeNxSUgH/fr1C2rK0M+vv/5KQjzR1j8LyU6oG+P1moFcoBEe7uMAJq8ePe3bg3HmjTdItCBTunS2T4UHGqD3AXz76Z9nnnmGeiwo6NGjx7XXXnvuuec2btwYNVWrViU7r2A/AMlJATI1zuuFF16Af90+Tc2UNm3auPh6ViEOcYQkpAOYr+KDQRzZuHEj7N9JiC1z587FMBg1ahSpzJg1axbYkKAMNKlduzYJ0cN96CucVASk9QsuoLIKYL/PPlQ2IB6kO3v2bFIFzapVqz777LNFixYFewcPvNMkYHUdQrxo0KABTufKK68klRblVPKBu04U4lAbZgADixGO8+3atSu6BXjnnXdIawHYUCnm4HwBkkvy+OOPW1U5gvfxJyFiuB8WzMRxMpmMs40ZmcMPNzbEi6OBe++9l1QxBDI7zmLhwoWkihvHHnssTqFdu3akKmb48OFly5YlwRPQLZUUUYhDHC0JKaBmzZrff/89CWagQ26//XbYwZQrVw7KptdQCt57772OHTuSEHN+//13nP6YMWNIpYHf3pHgiQMPPLBChQokRAn3s1I4qZwNbLjsMtH84IMPxvW48MILURN3cDoAyTHhuuuuw2E3atSIVAZq1arl+bH00LPrbyYU4hDHTEIKsJ8s3pVz69atJKv5x9EgXuBLmjypQCYInaheCJBD3E8MfGHvDt/OypQtu+7887UlSMhHGTLi8s1YTA1vy4OQyprmzZurmOmAJsuWLSNBHcc41Hr2MJ74Yj9ZvGCJBA3NPc4+pFJS+PPPP3Hit956a6lSpYL69i6CjnI/IJiD9TQyLVoUKTwS3hm1iyviy9FHH40RtnjxYlJ5YufOneK7zbJlyxZqoAgMGjSI7NwjvioASKXADz/8APaKN3KqW7euq85LYBuHiDZ2r/3HEPt75QM6h0D53//+NwkWyPZJQvNEFpJ9c/LJJ7u6O2YOcD83cIeNR4Jy1sqVgXUVYSi+PM0Ur763/6T7hhtu8ND/ihUrsBVAKpe0aNEC2rZs2ZLkksA+HTsfP348qTwAY3MaHh6FhBSg8rEY+gSvA+7WrRtprQEzKiWOqlWrrl27lgQJzUMms964cSNWIcbf64KSStHA/WhgAlZzOPLIok8+obIpAwZQcxUvqNjEH/HbQqtUaAo2IcGJN998E4wV335izwDJPpg6dSr1VZKmTZuShR8UoggPR0IKwJuV2jN58mR0CyB//m4FmFEpcRin9s4772iOyUKqYnbs2AFK8fJpalOxYsWgrkMNBPcrB1OyWm8rPaI1zLRrV9SrF3WybRtVmZG5444i6WK7ZHPOOedguKhc6Almd4BzXAKt7L+X1o6fxcsn4LkHQ8gWnA4JKcDxPj/okC1btkAZf4Pq+IQysKFS4jBODTR//PHH9u3bTat0ShB1F8lA27322ouECOB+5WCGVuttpUd0zxaw6UfgaJAsMIAAks2AWs/JF9qafgovLjb97rvvSBV9FOIHJ0VCCrCf7CGHHKIzwOc6kWBBUh0I2yOr+wNbJffOnTuToAEaUzMqRQD3Q4HRm05g+vSigQOprIJVPzJR8lRuwPuaAaa3BwH9xx9/TIInoId169aRoInIfffdR6q4oBA/ODUSUoD9ZE29AZpgnp0SNw488MDVq1eTUBKr5D5v3jwSNKpXr25qRqUI4H4oMHrTCfTsmfnxRyqrUFAAaYzKVkTJU7nk0ksvhSgB3n77bVIVFb3wwguBXEGE8YdPowfi+qRAqziUwAmSkALsv103euORRx6x98/ixYuj/PN6P9jcWcGY3E1vJXviiScalfb+zDHuhwKjN5tABoJA+cuEzIIF0EnG0T5Knso9ECiIELHgk/vvvx9vPd+6dWtSxRGLOJTRnJeiENq5c6dKfj/ssMN69eqFZfvvYMGASomjSpUqkMRJKIlicu/evbtRGSmPuR8KjN50Ao0aFak/pAJ6cLomN0uUPJUXxKc0pUqVGjJkCGktwMvGYUvieMtpMKNSfLGKQwnNc+kKIcf59u/fH92y9957W2U3gWNv8eWoo46aP38+CSWx+lhG9xAe2BuZmlEpArgfCozedAK9e2e+/prK9lj1YCRKnsojV1xxhX3QjBkzBgyAs846Cws1a9akOjN69Ojh87P7/KMQRegKEtKB/zulCKAfmzv1x51XX331AovbGlol95EjR5KgUb58eVMzKkUA90OB0ZtO4Ntvi04/nco2WDU3JUqeyi/2QQO1DRs2JKGoqGXLlo5BFqko9AKMX2GOsZ+me+Ct2/Dhw0nwytlnn+35TkFxwSo2rJI7vHsmQQM0hYWFJGiMHTv24osvJiECuA99m5PK8UQqU8bZRsaVcXL59ttv7X/ZDHE2bNgwEoqKbrrpJqvAFTgaRB0Yv8IcYz9NT8Cs/dzW4uuvv06D36zmaJrc8TPPTZs2oXjqqacabaLmNPejgQlYzcF+bjYNzchccknRhAkkpJs+ffrMnDmTBDMgquTA0ommOBpEHYVwUvFDUoGJT5s2jQQ3vPLKKylx2nHHHae7i7gWL3qozlB79dVXU0UxoKRSNHA/GpiAxRwyvXpln4xqBTbU/dlgX5sm9tprL8dfimPAPfDAA1ggrTUqNpHGMX6KfUJC+oC5V69enQQ18GerJKQAD5N95plnZsyYQYJE5cqVFy1aREI0cL+Q9idVUJExc2bGZVwmmBo1aqh8tZXNZBpTpkwhlTVgRqWYYh+HGugNElLJf/7zH/DAVVddRbI1gwYNAkvTp0InmG7durVo0YIEf0Qw0twPyPakylx8cVEgzkr3OanjhBNOsN8U9OnTB2LrhRdegPLZZ58NZcdQczSIOrZxiKj4IQ20a9cOXfH444+Tqphx48ZhVdRuV5szYO47d+4kwSvQCZWihPsxOZ5UBQWZv/+msjegh/ffpzJTVPT+++/bXP+AT9iZNWsWycVPFLO/2j2a4egCxzjU5hj7aQbHrl27zjzzTPzgBYFy3759E3y9oyLgCip5AprbfyWWL9zPSuGkcjawoVGjTL16VGaKsYm/IUOGGGtBc9RRR5Fghs+Azj8wfqcpwBxjP00mJ0CciCthXAENH374YRIihvvQVzipsoCNxX157KhYMZP0q2u9YZOk8JFJK1euJFkDNNus76h89913D3R1l7cIohCH4ASABIaxBULF1Q05vvvuO2hi+riPiBBacgfArGpVKjuycyfYZ667jkSmJBB2upvSyWhJLPsuu1q1amXKlEGR6sywr40HCnHo6AeGkcEfeN9yyy0kWyAeVUZyVHE/PoWTSpAZPz5r3KMHyWZkYIPvps/U4hhM//rXv/baa69OnTqRbMGqVauiH5fOKMSMdgJyXDHuOP300zFyzj333B+L73S7Zs2a6667DvUAKiOO+1EqnFR6XniBWsHfmWdmbrih6Kqrig4//B8lo0CTJk0c7x2mQlxC0wGFyInRechEkI8++ujQQw/FKNp3332N1xpFHPehr3BS2ZD55Zeizz8vmjUL3tuQilHGf6oqLCwcPHgwCbFGIQ7xtCSBYVJGrpM74xM/2Qqf1EpC3FGIQy23c6wyKcV96CucVEyoeEtYbdu2TVSmU4hDLbdzrDIpxX3oK5xUTNhAzjr55JNJUADs4/3cJSOc3BnGFk7ucQWf8uX4A4rCwkIwc3zmTvzg5M4wtnByjzewf8cUVrly5eeee27+/Plz58698sorUQls2bKFTBMGJ3eGsYWTe3J44IEH+vfvf+mll77++uukSjCc3BnGFk7uTDzh5M4wtnByZ+IJJ3eGsYWTOxNPOLkzjC1ekzv/8V8U/mzh5M6kGQ59JrFwcmfSDIc+k1g4uTNphkOfSSyc3Jk0w6HPJBZO7kya4dBnEgsndybNcOgziYWTO5NmOPSZxMLJnUkzHPpMYuHkzqQZDn0msXByZ9IMhz6TWDi5M2mGQ59JLJzcmTTDoc8kFk7uTJrh0GcSCyd3Js1w6DOJhZM7k2Y49BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYZgEwsmdYRgmgXByZxiGSSCc3BmGYRIIJ3eGYRiGYRiGiQG8cWcYhmEYhmGYGMAbd4ZhGIZhGIaJAbxxZxiGYRiGYZgYwBt3hmEYhmEYhokBvHFnGIZhGIZhmBjAG3eGYRiGYRiGiQG8cWcYhmEYhmGYGMAbd4ZhGIZhGIaJAbxxZxiGYRiGYZgYwBt3hmEYhmEYhokBvHFnGIZhGIZhmBjAG3eGYZj4UVAMyQzDMEwK4KTPMAwTP2jbzht3hmGYNMFJn2EYJn7Qtp037gzDMGmCkz7DMEz8oG07b9wZhmHSBCd9hmGY+EHbdt64MwzDpAlO+gzDMPGDtu28cWcYhkkTnPR9UVhYyK+dDMPkHsw8AMmMMuQ4dh3DMDEk9Mw1YcIEypEGyCLO0ExCmAv1qww1iyQ0RAP9+vUjixhSr149mga//DP5gIIvnPCrUaMG9V6SNm3akEWcoclw3rZm2rRpNEQDixcvJqOYsGLFChq6AbJgmFgRbuDSyWE4PWbPng3Ke++9l+TYgrMDSA4ZPNY+++xDcvjA3hoPSrIbYJzYFhg3bhxpi6GKuKVOGnRJqI5hcggFX9DhN3nyZOrX0PNpp51mVMYRnB1AcpiIHTDJOQGPCJDsBmqpQSoJqohPGNBwDQMmrQapGCYmhBiydE4k+qygGeZqjnisWGzcsRWwdetWUsUfnBEJ6YhwJrJQ8AUdftRpoqOaZpiTOcZr407NEr36AppqOibLJIkQQ3bcuHF0WqidGN26dSNrM8hIgiq0KiqVBM3atGlDskRhYSHWymAVFPCDJSNoJkMVZlWwYaU6A54vEcHmVhv3c845Bw2MGHfP69atozoDaECCGfBShDZWCAfOnDmTVArYeAww7YrqDFC1BFWYQRbuofY+emAYz1DwBR1+1GlBQadOnUhlC1lbQEYSqL/55putUpBspsOYeRYvXoxVUMaCEbSUoQqzKldZVAXHjTvWmkIWEs2bN6e6koivNEk2Aw1sIDsFSxm3L9yOLz0yVGEGWfiAOgqiK4bJJeGGrPHaMqowo0aNGlQqCbU0tCWtxogRI0irQdpiSFsMaW07JFUx4oLmdu3akUoDlQDJxZDWoAeowqzKEWxounHHKoBkCaqQqsS6kGyNt0/csQlAshpTpkyBnE6ChPiZhK4WlcaLcHSIyRpf9efPn49Vrt5gCLAtQDLD5BAKvhDCT77IDbDfwUNupFJJqLFheKTVIFUxpC2GtBpidwhZglQaYuOOkLYY0vrW21fZY7Nxd5uaUAOQbA3ZuRwttXHZytULt/pLj82NHwK5J4S4JMzofIaJOL5CX52bb74ZTxKB435LBpuQUAwqAZJLglVwXJIlsAoguRhUWn0cjrUAyRqkKqkUn/GTbABrJ06cSLIy2NC4cUc9QHJJIPUba1EDkGxBLjfuNmBvuomjEiDZArQ57bTTSC4J1gIku4FaBjdNhlGHgi/M8BM7JAFVKADbfdMmqARIlhAvEySXBKsAkjXkT9xNwVqAZA1SKSgFpllUBZuNO+rVU5P4JlP3QZURNANIVoPauJ+jFaa9oRIg2QJ7G6wFSHYJNU7WlZxMegjsFFVHvl8BqSSowgyyKIa0FqcuVgW4cTfdwqIGIFmDVE6cc8451EAZbGizcbeHrIshbTGmn5zlfuNuemkTYpx4u3btqK4YqpCgCifI2g3U0lNbhvEJBV+uwo8OpkEqCaowgyyKIa1ZJ/a7cKwCSNYIY+NuD1kr47hxd4SsiyFtMa5e4+yhNu7nCFBLM8hCgiqKMb706L7zsYEaKCNfqEMqhokbeYtdOnWkk4dk6/OchGJQCZBcEqwKcOMu3m+QrIEagGQNUlkMzA/YrdtP3FWwejflbeMuPhlydfM4bAKQLIF648Rlhg0bhmaA/DkKasL4PhR7BkhmmBxCwZfD8BMfosN2GTV4fzAENQIPn7hHZONOckA4btz9pCbsASGVBqlczoXaBNfKSi9j+tLj7XXHEewTIJlh4kl+Ilh8JSouWEQRQFGHaRUqAZJLglUeNu4AySWhupK1pCqpFK8l8KpGqoDAbsPYuCPYiew0sVIkK4OtAKsrIBHZRWhPQkmwyn7jjqAlQLKZJiio3xB6ZhhHKPhyGH50PLWTK8cbd4BUEuJ9BbyrJ5UGKgGSNUhlcXTPqHziTrInxG/6SdZADUCyMtTM6cVLvEaQtcWBbKp0oKX80oMagGR/UF8B9cYw+SXEOKYTRQM36CKFIaNGjUJLhLTSbxDBgFQaqBSQ1jZleNu4I3jpoe4n8GgpIK1BL7+c6D7Cd7wC3gZsaLp/lT+3kK+eN/1mkGRJIz8ni1TFkLagYP78+SCq7J4R+dM4BF7LxYfxArKWDiReZXU/bpYPbdwWyDelIVUxpNWQf+EKYYlKxQ+9oC0cV4BtAZI1yJRhQoaCzxDtfoDUQZ1qt97C8+Lee+8llQZaInIVqUo+mwwgbTGkNRu2z407gq818kSM3/tRheFArrKoIjYbdwCrEMfUhBr5GktIiagESKUhrsgHUCMKjuiWD8DMRkIxZC1NQYzf5oWbVJJS5aVHdxe4ESNGoJ5kW9DSEbJmmDgQerwaN2q4IbaCjDSaN28uK7EsENc3k1wSrDLdkIk7apFcDCpxny1nasDqWVH2YwCM+Q6gOvdgc/tfJqGNDIyB6kpC1cV069aNKgzIV6EApFVG3lIjukQsQxbFoBJ/JKf72AxAGxmqMEO3poju3aM9uhckU8iUYUKGAi6ckKOuJcS3o0bkXTIgsiWKWBag0ioDYC0JJcEqXUPdXl98Q4jAO3/U68Ba9SwEWGVRR0w/Edehnpp0rgbkNxg6MG0iNpO1Qn4UF2LzGkEWGvYv3ADqBTbdArr3jYj6t9myE2wga4aJAxyv/4AnsNU17gzDMNEB8xVAciqx/5CeYRgmeXC++wd8AeCNO8Mw0QfzFUByKuGNO8MwaYPz3T906tRJ/QJuhmGYPIIbVoDktNKuXTvP17EwDMPEDt64MwzDxA/atvOHzQzDMGmCkz7DMEz8oG07b9wZhmHSBCd9hmGY+EHbdt64MwzDpAlO+gzDMPGDtu28cWcYhkkTUUn68PJjczsX/y9O9v0zpoDTov+rL964MOkEIh8hOWRUjmVjgM/ZIcEr/ntIIVZOw6dNkeAGaAWY3lCfBJf4aYtoI1J9jh7DxJ3Q86B4YMSgQYNIZQYY8MY9aoDTrDbupo+kdQR6gz4B4xPIqeQeb22h1cyZM6EgHn2CeoaJCxi3AMlhAkexfwIoYlPLG/d8EbjToEMBqfK6cce28C9v3JmUEPApbQRPKnx6HGpMgVrYWJs+QBvQieeccw7aIKQtRn5iM6mK+8cyPk0aH+APaIYEbuYEpJWgipJVpLKAjDSMT42lCg1SaZBKg1Sakkoaci0+MlCnxIJ4jjcqYeIoAuArVCIrVqygiuKurDbuaIBgWX6qKOqN4MYdCvCvfOdNXRN5GABpi+nWrRtVFHeFekSuHTduHGmdAGMqMUxMwCAHSA4N+ShQgGSOZSNoCUBZJASs0m3csQp3WpCZoSx/gou1cCB84QCEHguY7mDDhyKURXrPWhsOJMqQgcX2TlclykbkWiyLlw8ANVDA9zbG/mW9SNQCEEUyzDbQGDZsmFEJr4/t2rUDDVSBuG7dOiiPGDECyuKgeCxM7Nk2Glilw3RFACi3adMGCsYnVSPCTBQA3eYbH0+OPcCrqmaoPxY+YRfLAFYBsiiXjWDPWIaCcALDJBvLUyIQ4FzSZR8sGzHWyqKuPHnyZBI0QCMebQ1l04chgx4zuyiYArXi5IcyFhAh4oOgsYyAaPpAaaMlbiuxjAkXyzJWekCnB1Fo8PVA90G4bICACEmZhKIi8JUw0Gz1xoobd1nEpE9CScTGHdAa/VPGAiDrEVkjlwHYmsuiXAY02xIaU8BG9waGYaIPhjdAcjjgxxwklMxgRoxVQiNvE6EgygLQYBo3rUVAj1t5sWU3RW4ul+XUCoUaNWpgGQGN6bP3QQ+QoCEndmMtYqVX2bhjWaDTGD+f1vlWt381dogYN+5U0gBRpxHIVaIsj0reTws0w6wSVxCViNxWsypRa9Qg+AkdCZoZb9yZlGByPgQF7GXhXII8Jcief2ZnIAB63X4aNHI6w4K88xOABpWmtQjo8XMdowEqBZDOZL1V2QjWypjqQYOvOqa1gJUe0OllS3QvlgWgMXrViKjSbdONGoFoBUBZPorxdUWgWyAoo6hTUqkYzYqUprVYEOurA2tN8XyVJ8PkHQxvgORwoGMYoOqSGPVCo7Jxx4+QTWsR1Ot2bACI+PEtItdCWSBeUADUkGCL0TK/G3f8TJ0EA1Cl++jKyjiQjTsgRKHU9YxoVqTU1dpv3E3BJqaQBcMklxCj3PQUAqX8JaNAO+P+sde9KdeVjRe0UEkrY/bXAXrcXEKK1NlTSQNEeeOOBR02n4jrwEt6SNCQj96uXTvTfqz0AOjlpAyisFTfuMuvXjLZvkr2AGKoG3cARIRki2GIT8J0taeddposymV7bL4WYJhYkD0TNEgOAav+QalLLAja4/dXYmuFVcZtohBxJ2q1q9aVsQDo9FOmTBFloQdQFIj0DoAof9Vm87UbtsUyXgQCr1Ao4o9kxDeuUMZDWOmxDEBBuMjVxh3QmclfnOK7GvzsGdOjqNJhXBEqaWjtzBsaq/BDOlmJIkxQFrEMyCKWARQBnQgvuBMnTiTBGmgif+Ku64RhkkRYkQ3nDF6NpwOzHgkSqMQ9K4J6RCdibkKMO0uq0CCVppRfaUQtplcEy3J6FU10l1oCKApIawZZaBgv46EKDVJpkEqDVBqk0kYr74MVN+4A5msBNKSK4k+SEBDh37A37gBodEr5pw4AaYsRl+wDIOK/AnxrJAAvUYWEfB28DNbKZYaJLBioAMmMAaN/jBqGYZh4wSnMHOPH3pzxGYaJDpiRAJIZM8hHxZj+GIlhGCZGcNJnGIaJH7QV5Y07wzBMmuCkzzAMEz9o284bd4ZhmDTBSZ9hGCZ+0LadN+4MwzBpgpN+KOhuKDtz5kzTX0kyjBFd8DCMKbRtD3PjDqFoCtbCoa1+vB4RdDdOUUfzaxacoMrT5UIlN8fN1+zccvPNNxcWFqo/Xy/HaGFCkMrA/Pnz5dtCyPTr169du3biLGMYI2GdqBS2Bpo3by5q0dIP++yzj1X0m+LK3tsIoZW4UxigTdTvTP30AG1z8OKam6MEgrhzDsmBMmLECPmudm6BUdnckw7AkQMkFyPuKyegCia50ErnZK1NDwSaQM566EfcN1AFdXtvG3fYOelagQh7dxI8gXe7IsE9ftqqk5uj+MG4LmH82hi61R3IFTZt8bHlumeZC0AjhxmI/FtqxpTQT1QtPk0CVCitdtIzZ86EKvFIVFPkfmSmTJkCbY03jDe1h302GAMkF2PaswDe7hubALpW2gH1/dhMDQejqzL2gICl6fty7ATL0NbxxfXee++1+vQC+hFd6XA8CtSaDk/r0rxPATS0ag7Mnj1b14PVcugQT1yycqlMdpQKfcpAt356hraOOxLjXgRvY0qChu5pl0wigSVGSA4T0wOBBs56rELEzdQBvLm4DFVIDBo0iOqKQT3eNVgG9ab2urvHAmgM2Gzc0VIgdkgkFyN/1g7gY6ftp0aqYkw1CMnFkFaDVBrGNxICnCAaCKhOg1QSVKFBKg3TtysypC1512aAtCWhOgmqsOhWvskvAINBvT1gKT94Swd2JQBfUYVWJR9CvoWxZvsPqNRBdRKmelSaYjQwajD2SGAYidDDwhiOACrFVs/4GB35sfyarfk4jVUgylsinYFO1KGrtbIcMWIElTR0ZkZR1kDZampyGZDTiqwHdJayqHvkE7wagWi1cdfamfcDPpSrALnW/iiaoXm3ULAajGDy5MlU0oAm4kNoHBWAImIUdT0IoEp+ecaCEaiSa3FbLPrU1QKyaKyVsfcqAGUPG3etD/1BQcNftiYbXHeA5DAxPRBo5NNZfgyQ8dlz2fYWQwW9HPZGSziKrIGyzWmitSZjm427DtlMdzgARLHts5+arkpg/MRdJ8r7ZijILxOAVbf22QAK8NqKZURXa3MUuQzohuf2+wdoIl6XoQxgGTHVyK/jMmiM2OzvoZZKxYBGeEPXVt64A1CWRR1QZeNVQC5boWsCGDWAUcMwQOhhYRWOOqUQxeZMB9bq0FXpRAQ04gNsUwNMSQLSSkMysrX4eUyI7q08lTTQAMv2UxMFI7oqrZEeUaW71gI0Vntl0QrJ9iL1Ix5WisAuUK61OQqUjWAVgKKucyPwioKWCCqtNr5GqFoClDbLJGOsyvZYrJTLiCwaa2WgysarAJQD3Lg7dsXEGlx3gOQwMT0QaHS5Rdho5qoDA0vdxl13vRkkcLk3nT2eRACcGqKMVcaTRYBmkFKgCbaiCqeNe7aZRZ82D9XWbdxtBgYYq6yM7bOBrgpwrMWC/fCQbEcaJJcEq2DWwr1iI45VWEZA1L2FUGTixIm6rhDjKwWQPWqxEgp+Nu5UKkZnbzQwomsCGDX4VRIJDCMRelgYwxEwKoWIe2IsO6J184+xTgR0vekMdKL8oQIgl2V0ehBFTgeMtUJjPzWoggRHQkl0rUA0XgWEQJXR2NvGXZQRfFotlo21IMobd6vhyYBZjRo1SJAAvfyyDSKAZWM6xg/7SbBF68YEqpYApe7rV9lSLiOyaKyVMdbKXgWg7GHjLn/SiQwbNkynYZIHLDFCcpiYHgg0Vht3AMqKbx3BUn5Di2/aSdAAUdZAWbY31grRagOq00Nvsmi/cQdAtJoaVImv9QBR1h0C0FnKQJVsrBNljBOUjeUyAiKkC1GWa42i1fBkwMz0mk/Qw+sdlvGFz2bjrvvK3Qbj97FWDXVVuu9JdLX2og5jLYjCq4Cu1hStD70ZaOCtCAmaCJkcy3hxPJYZJvRQyIanWYDqlLKIb391UF1J8GxEUIMfbMigHjHak6CBP1tEPSCXZTTbEuhyOpU00IAEp6mRXAxpJb34kIBkCdQDJEt42LgDKMpQhQapJOSjkErCVI9KHbovQORPqkw/R9F9Ng9Yvf+RATMqmYH9CHQfk5NWw+qFEyC5JFQnQRUaINrsddBeBn/qDeBnWjKoB/BCSavLh5j4ggsNkBwmsC8xRqbxRDNq4JyFzCA2bVZAQ2OaAo1RiRjt4SQVuxx5F2UckgBOXtGJzsxeRGymBi80piMfMWKEzh7HYNoJTEdkHptZGIequ4PZzJkz4RC6KzwF9kexGh60Ar39BzR4XNyJQhmVAASSLMqAPWAzWQTdq/LxEK6R1YU9UCXcojsodA61ciDpsPGq4/jtgbcx0DMJEvI2g0k5uUj6DMMwTLDQtj0nG3eGYRgmInDSZxiGiR+0beeNO8MwTJrgpM8wDBM/aNvOG3eGYZg0wUmfYRgmftC2nTfuDMMwaYKTPsMwTPygbTtv3BmGYdIEJ32GYZj4Qdt23rgzDMOkCU76DMMw8YO27bxxZxiGSROc9BmGYeIHbdt5484wDJMmOOkzDMPED9q288adYRgmTXDSZxiGiR+0beeNO8MwTJrgpM8wDBM/aNvOG3eGYZg0wUk/ySxcuHD27NnTNT799FMQN23aRHUMw8QZ2rbzxp1hGCZNcNJPArA7/9e//kUv4xKdOnUaMGDAEI2hQ4ced9xxe+21F9UVU1hYOHr0aOqIYZiYQCcwb9wZhmHSBCf9uPL+++/T63ZBQe3atX/88UeqcMmaNWsuvvhi6qig4NRTT6UKhmEiDJ2xvHFnGIZJE5z0Y8asWbPw1bpKlSp//fUXaYNDfHJ/zjnnkIphmOiB5ylAMsMwDJMCOOnHhh49euDr9Pfff0+qMKlfvz4ebvfu3aRiGCYy4OkJkBws0C3/8V8E/xgm9fBpEAPOOecceHkuVaoUyTnk1FNPhUOXLl2aZIZhooG2ac9CcrDIWyX+47/o/DFM6uHTINKsX78eX5s3btxIqnxQWFgIYxgwYADJDMPkG8wMAMnBwlslJjpwNDKMBJ8G0aVfv37wqnzkkUeSnFd++uknGEzZsmVJZhgmr2ib9iwkBwtvlZjowNHIMBJ8GkSUli1bwkvyY489RnI0CHGjwDCMG/BkBEgOFrFP4vM9VkyZMqVBgwYUGW5o3Ljxp59+Sr1EDY5GhpHg0yCKHHnkkZBJb7rpJpLds2rVqp49ezZs2LBcuXLQVfny5f/1r399+OGHVO2VnTt3akmew4Zh8gyeiQDJwSL2SXyyRxvIyc2aNaNQKCiA8ooVK6jODQsXLoS9O/WifdMbodsScDQyjASfBpFj+vTpkDePO+44kt2QyWQw7SKVK1euWbMmXqEu8PlL0yVLlkAndevWJZlhmHyApzNAcrDwVinawH69fPnyGACnnHIKaYOjY8eO2Hn16tVJlUc4GhlGgk+DyIHpkgT3dO/enUoGsGegdu3apPJEp06doJNvv/2WZIZhcg6eywDJwSL2SSH1z3jlhRdewHU/44wzSBUmHTp0wMP5/8LWOxyNDCPBp0G0wKR89dVXkxwod911F6bgSpUqkcoTW7ZsgU6qVatGMsMwOQfPZYDkYOGtUvR49tlnccVnzZpFqlzx5ptv4qGnTJlCqlzC0cgwEnwaRIt27dpBcvR2kaIjmHmBZ555hlReKVOmDPRDAsMwOQfPZYDkYBH7JD7NI8DmzZtxrd966y1S5YOHHnoIh0FyzuBoZBgJPg2iReXKlSEt7tq1i2SvQKLfsmUL/Ltq1apRo0aVKlUKE2758uXJwh943TwJDMPkHDyjAZKDReyT+DTPN5deeimscoUKFUjONxh1999/P8k5gKORYST4NIgWZcuWhZyYyWRI9sQtt9yCudXISSedREb+gFcR6I0EhmFyDp7RAMnBIvZJfJrnlTp16sASX3bZZSRHgx49esCo2rRpQ3LYcDQyjASfBtGiVatWkBDXrVtHcnBAn9kX+WK2bdtGFZ7Au0ySwDBMzsETGSA5WMQ+iU/z/NG+fXtY3yeeeIJkl6xevfoPW9avX0+m7rn22mthbF26dCE5VDgaGUaCT4No8eCDD0I2DO9byLFjx2Zf6jVI5Qn/PSSATCbz2GOPde3atVGjRjVq1ChdTPny5UFs0qTJueeeO3HiRLJmmEDBcxAgOVhwk4R/TD4YPXo0LG6PHj1Idskpp5yC4WEPWXsCf5E1YcIEksODo5FhJPg0iBz+86kNmzZtwv4BUrlnyJAh0DyfdwfLBxs3buzcuTO6Dtlrr71uvfXWn3/+mSwMTJ8+fejQoXXr1qUGGhdffHGEnmzCxBaKp5ByBW6S8I/JOZAifC7uqaeeij20bduWVCFQunRpOEToCY2jkWEk+DSIHHfccQekwmuuuYZkN7Ro0WLmzJkkGMDbOCKPPvooad0DzWvUqFGxYkXsCqhcufKoUaN+++03skgQ+I0wcsMNN5DWB/hTM+R///sfaRnGJRRDIW1leKuUV/Dzcj/3XszNxh1eR+AQF154IckhwdHIMBJ8GkSRevXqQTZctWoVycqIZ+nZ4+euNfjzWSjMnTv3qquuwg6tOPHEEz/99FNsGC9eeeUVnML+++9PqqD566+/8BBAIt/zMKFCoRPSVkbsk0Lqn7HF/8rmZuMOwCHgRYGEkOBoZBgJPg0iCubcpUuXkuyG7du3//zzzxdccEH79u3LlStXvXr1o48++vPPPwc9WXgFR2XTz/r161966aWaNWuipSn169d/4IEH/N/yMiT69u2L4/zzzz9JFTIvv/wyHvGee+4hFcM4gTEDkBwsvFXKK7CslStXJsETYuO+9957n3/++U01zjvvvJEjRwZ7ZQsehYSQ4GhkGAk+DaJLpUqVICHm9Ha5tmCC3rRpE8luWLBgwXHHHSdfXWOkf//+NteL54CJEyfiSPy/w/EAvLPCo//444+kYhhrMFoAkoOFt0p5BZa1evXqJHjimmuuwfCwYZ999iFrH4jvYEOEo5FhJPg0iDS33347ZliS88SwYcNgDD5fSIxs3rz5lltuadSoEc7RlHbt2j333HPUIEzwcHm/CcxZZ50Fw6hRowbJDGMBRixAcrCIfVK+k086gWWtWLEiCSGAu22EVF4JpBMHRCiGfSCGiQN8GsQAvHK9e/fuJOeQOXPmYF7+4YcfSBU+H3/8cadOnfC4ptSrV++SSy7ZuHEjNfDHmjVrsFuS8w3MK1LjYaIJBglAcrDgJgn/mJwT4soWg4cAzjzzTFJ5AnooV64cCSHB0cgwEnwaRJrjjz8ec6ugWbNmVBcy48ePxyM+88wzpMora9euHTp0qM3FNmXLlm3Tps23337r6ur577//HtqWKlWK5MiAkyKBYQxghAAkB4vYJ3EQ5oPLL78cVvbxxx8nOQQweID+/fuTyj2DBw+GHm699VaSQ4KjkWEk+DSIIn/++SemVKRjx45UUVR00EEHofKOO+4gVaD89NNP2D+wYcMG0kYYeF/RunVrGrEZhYWFDz/8sNUvTdGABJdg//a89dZbZO0e7IEEhikJhgdAcrCIfRJHYJ4IcXGLiu655x7sHyCVJ/z3oATGIf4xTOrh0yBaDBgwAFMhMn/+fKowcMABB5BRQcGbb75JWk9s2rTpyCOPpL4KCqZNm0YVsWXWrFmXXHIJzceCCy64ALbsUKA27sF+gOeee26iGc8//zyZemLevHnQ+Z577kkyw0hg7AEkB4vYJ4XUP+PE119/DYu79957k+yGKlWqQNu99tpr/PjxpNJYuXIlPu5UsGPHDqpzD+bPuXPnkhweHI0MI8GnQVQoU6YMZlKgUaNGpFVg0aJFhxxyCLXUgHx91FFH3XPPPT/99BMZaWzcuPHll18+99xzmzdvTqbFgJ6Mksvq1aufeeaZypUr05w14B0LVbuHugjzwYF4Z6E1a9aQzDDFYOwBJAcLb5XyRCaTwacvCTxcQb5q1Srcu1vRr18/MvUKvMRAP34e5OcCjkaGkeDTIM/ceeedmEmRjz/+mCp8sH379iVLlowZM+a0006rV69e3bp199hjDyj06NHjyiuv/OKLL7Zu3UqmKQYf1g0vkyS7B5cMCG/jDu/KoP8zzjiDZIYpBmMPIDlYeKuUW1588UVazmIqV648Z84cvM1U69atyS4a4Mcfw4cPJzlsOBoZRoJPg7yhJWeiYcOGpGVyBXqeBE9gDwDJ4QD9V6hQgQSGKQZjDyA5WHCThH9MOMyfP79cuXK0isVcc801VF3Mu+++i1V+PmUIEBzM999/T3IO4GhkGAk+DXLNo48+iokPefbZZ6mCyS3gfJ83k8EVtOGRRx4hUx9gVyQwTDEYGADJwSL2SRx7QdO9e3dauWI6d+5MddbgtZTdunUjOR8ceuihMIbatWuTnDNSE42vvvrqmWeeWa9ePS0uzGnevPmwYcO+++47asOYsWTJkjvvvLNt27bkNTOqVq3apUuXxx9/PHbXIHBSzh3y2Qhbxoh8fJJacCFICJRvvvkGO0dI65VAOmGSBwYGQHKwQLfij/HNyJEjabWKKV++vNufda5evRrbXnzxxaTKFV27dsVD79y5k1S5JKHRuHjxYnGbOOSMM8545513/vrrL7IwA1rBXvPggw+mNhq9e/em6rQinlaJwNvLO+64Y968eVRtxubNm7/44gu8pakATkx4+0QWUYWTcujMmDGDIkLj+uuvpwomr+BykBAChx9+OB6iUqVKpHIPPhwKcjTJDFMMRhdAcrCIfVKY50iymTNnju6n8MBE389m/vvvv7GrwsLCsLfR69atw2MB27dvJ23uSVY0yo8XfOWVV0jrjyFDhlCPBQUTJkwgbdL59ddfxcVmBx544PLly6nCB7DXx9slAfvuuy9pIwYn5RBp0aIFLj9CWiYa9OvXDxbl3XffJTloRo8ejesOkMo9I0aMgOaPPfYYyQxTDIYWQHKw4CYJ/xhldu/evf/++9PCFHPKKae4eiqcItdccw32D/uMYO/J+OWXX5YtWxY7v//++0mbRxIRjaNGjUKXtmrVKrz7Gfz+++94lFKlSsF7PNImjurVq+M0P/zwQ1KFwBVXXIFHOfbYY0kVDTgpB8+CBQtwsZHLLruMKpgoAS+luEAkB4145Rs6dCip3IM9kMAwEhgbAMnBgpsk/GOcuPLKK2kxiqlTp86mTZuoOmQ+//zzqlWr0oELCk488USr581Z8ccff+DtHRHYFdk8QiQPxDwaO3bsiI5dv349qcJn+PDheNC3336bVPFn48aNOKmcPUIewc/14R0yyfmGk3KQdOjQAaMKWb16NVUwkeS+++6DZerVqxfJyuCmv1WrVps3byaVxAknnKCtfxY/PybDZ2zZX6XHpBYMMIDkYMn9VunbbzP9+2fq1y9xaPmvbNnMKacUvfdeUQ53PzZ8+OGHtAASfp6UHBSjR49u2rQpDUiN5s2bR/prPTkMYsVNN92EHs7XT9rwNQ5Yu3YtqWILTuT4448nOefgY1Vy/J7BFN64B8DKlSsxpJCjjz6aKpjIg78693DBTJ06dXC5rbj22mvJ1BMnnXQSdHLDDTeQzDAlwTADSA6WsLdKK1dm2rYtcZSOHYueeKJo2TIyMLJjR9EbbxSdeWZR+fJyw8zUqWQQPitWrKhbty75vZhBgwZRdYSRX6RIFSOk5SZN5Nm9ezd6O7yrMdVp0qQJjKRFixYkx41bb70Vxu/hSWSBs337dm1VC37++WdS5QPeuPuib9++uIpIfteS8Ubt2rVh7f773/+SHAHw7QRfZMXYoKWcLCQHSzhbpQzscUW3DzxAWj/MmpWpWRM7zDRuXBTCpeRA7969ydfFtGnTJp8/1nQPb9xzyaxZs6Lm6p9++ilqQ1IEb8cXqRfoPfbYA4Y0ZMgQknNODM/hCJDJZLRTgGjZsiVVMPEEbwi15557kpxX8HK66dOnk8wwZmi5JwvJwYKbJPzzz+uvY1eZ2rWLwtvvjhhBR1G4Lboj48ePJ/9KfPnll1QdN3jjnjPwgVnVqlUjOTJs27YtdgGADzj/4osvSI4M/fv3h4HBvyTnlhiew3kF3vZpkU98/vnnVMHEHPHN5htvvEGqnHP11VfDAHw+FopJCRiuAMnBIvZJPvsfOJA6ydnzYnbtKipTJnvEypVJo8y6devg3Tu5tZgxY8ZQdZzhjXtu+Pnnn8HDNWvWJNk977zzTq1atXCldJxwwglk5BX8dVYZOEHiQOvWrWG0H330Eck+WLNmjbjJY1CvsH369IHe8vJVAG/cldi5cycuOdKwYUOqYBLEsmXLaIELCr799lvS5oRx48bhce0fvcEwAgwYgORg8b9VevNNar5yJWlyTKVK2aM3bUqiBTt27DA+XvHggw8GPVkkAt645wY/HhbXTwM1atR45JFHYLu5evXqQYMGkVajS5cu1MATkyZNgk6OOOIIkqPKgw8+CONUeaiwDfA6rvmsBAFeK493pYSTi+RcEcNzOLc8/PDDuNiI/8dnMBEEP+oWPP/881jw/wmHI/Xr18djrVixglQMowCGDUBysIh9krf+seHtt5OYL3buxJFkFi0iTTFjx44l9xVTu3btBJ+DvHHPAXj5xKOPPkqye9atW0clA7/++isuH/Cdv++vsJP8PARXmVKlSsEgSXAPPrsQKCwsXLhwIWjefPNN1AS4cccnlFWsWJHkXBGzc3jTpk19+vQxfptpRYMGDQYMGECNXSIfpUKFCqRlkkWNGjVojQsK9tprL9IW07hxY6w67LDDSBUEmUwGjoU9n3vuuaRlGDdg/AAkB4vYJ7ntf80aL61CZd99s+O54gookssk7rvvPrRKNrxxzwE+95qO4PIBPp+3+uWXX0Inp556KsnR47333oMRnnfeeSQHQRgbdwD7JCFXRP0chjeFeF88BLZZ4H31n/Nv27ZtwoQJ8sMpLr/8cqqz4JNPPiFTjbvvvpsqmAQxd+5cWmCNJ598kioswNtRIfAubvz48Vu2bKE6BTZs2HDttdeKRzJB4njppZeojmE8gbEEkBwsuEnCP3VWrszaR+9HGhlI+zCwM8+EMnisT58+qE8PvHEPmxUrVoBvQ73lIi4fsHXrVlJ5Ai/9zf3nxOocf/zxMMIffviB5CAIaeP+n//8B/qEfSbJOSGip8HmzZvRxUC/fv1IGwQ9evTAbkuXLk2qYvbbbz+sAmCPRVomWfTq1YvWWMPblawXXnih433cZZo0aXLddddRY4YJAoqtkLYyHrZKf//tzl6FChXEMDJOV6vbkznuuGwnN95IcsrgjXvYfP/99+Dbk046ieRAyWQy+HE+MH78eNL6ALuKOMFezBPSxv3tt9+GPq+88kqSc0LkToN///vf6NyRI0eSKhwuvfRSPNCNN96IBWTw4MFkwSQLWmCNY489lrQME08olEPaynjYKqFxUL/p/OOPfwYg/vyRwbcBv/9OcprgjXvY4I3Sj4P3h0Ezf/58XDhg8eLFpPUH9vZZVMELldcH+ozkkDbur7/+OvSZ4w/mInQanH322ejWjRs3kip8/vzzTzwoYPO7ECa+iNMV+fjjj6mCYeIMBXRIWxm3W6XRo8Eyc8klJPrkpZfo0L16iXvAZ/98snx5tpPCQhLTBG/cw+bvv/8G39arV4/kgKhYsSKuWlN/3zjJwBYLOqxduzbJ0QPvtDg10Icih7Rxv+iii6BP2L6TnBMicRrgd0xAvn7mvGTJEhwAnHukYuLPQQcdhMsKFKby1ZpJMBTZIW1l3G6V4PwCy0AerjRgAB33xRez4uTJJMKff8qWDaafuMEb9xyAm+ygHqkrbmAQ7EYTePbZZ6HbK7Sfa0cT/PlssF9fhLRxxz5JyBX5Pw3wxh3nn38+yfnjyCOPhJG0bduWZCaebNiwQTuViCiEFsMEDsV3SK8ZYp+k0v+GDWCWCeSzxqZN6aDLlpEm2I37Aw9AP5kbbiAxNfDGPQfgzaP93ygMHzyEZDIZ0gYH9kxCVMHnJQU4/TA27nj3m9zfFD/Pi4e/t4CcQnK+mTp1arDryuSS0aNHZ8/LYr7//nuqYJjEQVEe0guw2Ccp9J/57besmf9Xr1Kl6IjyhfLBbtzh/QDsBo4+msTUwBv33IAe9nxxdufOnbEHIKTv//HXfbfddhvJUWXp0qUwzlq1apHsmzA27thh7h/Wls/TINg5wzuzQN6c4U2d9thjD5KZOFC7dm0MJ6BatWqkZZjkQuEe0lbGzVYps2RJ1qxdO5K9YXW4YDfuv/+e7efII0lMDbxxzw2wn/Hs5Lp162JbFYYOHUrN3PDpp59C2yhf3S5z2WWXwWiHDBlCshu2bdum+UkJauMS/Nw52HtWKpK306Bly5Yw5+XLl5PsFfkdKuD5cUsyEyZMgK5OOeUUkpmosmzZMlx35KabbqIKhkk6FPQhbWVwk4R/juCNIBs3JtEtixbhgTJ77kkamWA37k8+mT3QtdeSmBp4454z8C7pxvtNq/CbMh4+psRn1HgbWL444YQTYMwXX3wxyW74/fffyVm2rF69mhq4AT8rfO2110jOLfk5DfD2Rl27diXZPU2bNoUekC5duhx99NFYDmTjDuDdiLytKJMDBg8ejCuOROdqK4bJDRT6IW1l3G6VypXLWnq7u4B2lEzZskWNGpn81a5Nw4A/ofRM+fLZftIHb9xzCe7dgXzdb8MI3vykYcOGJMeHK664AkZetWpVkiOAtrYFCxcuJDnn5Oc0qFChAkybBPdMmzYNmsvPnmzfvr3mycA27njBzH777UcyExkqV66Maw00a9aMtAyTMugcCGkrI/ZJav1nf+4Jlt4unC1dusThVP68XRW5dWu2baw+cQwK3rjnHnh5Am+3atWK5PyB6/7000+THDdE9C5dupRUeeKee+7BkZCcJ/JweLwILNgLkQPfuAM+310wwfL111/jEiNPPvkkVTBMKqEzIaQchZsk/FPElbE6wV0qk6lbFzrJzJtHcprgjXteWLt2Lfr84YcfJlVuwXuzxOWidnvOO+88dCbJueWXX37Bo7/yyiukyh95cMGMGTNg8t5+WmFFGBv3Aw44ADokgckfnTp1wsUF4nV9HsOEB50SIeUo3CThnyLa7z4zNWqQGBRBbdyvvDI7vLPPJjFl8MY9j4hPnc4880xShcz27dvxiFWqVCFVUjj00ENxaj/99BOpQubJJ5/EI95+++2kyjd5OA3g/Qq4YPTo0SQHQRgb944dO0KHa9asITll7Nq168MPP7zttts6d+7ctm3bGjVq1KxZE/49/PDDQQP69957b/fu3WQdDrimCGzfScukkquuuopCQRl4m3fzzTdT+8RBkwxpK+NtqzRvHthngn3Y2d9/Fx19NLxcF119NWk8cMcd2YH9618kpg/euEeBqlWr4hLcc889pAoasRfq378/qZLIpEmTcJrVq1dfu3YtaQPlgw8+wEMAS5YsIW00yMNpMHv2bHBEsI/FCWPjvu+++0KHJKSArl27og8Fl1xyCezOFy5cuGrVqh3FwAsAaEAPtXg7JMGxxx5Lffnj6aefph41PvroI6pg0sQbb7yBl6shY8eOdftIwvXr18PGndoXFFSuXPmbb76huvhDswopR4l9ktv+v//eS6tQgf067Nq7dCExlfDGPTqsWLGiXLlyuBaFhYWwQaQKrwwfPhx7A/w//ile3H///TTzgoITTjiBtF7566+/mjdvTt0VFHz22WdUETHycxqgU0gIgjA27tghCQll6NChOE1g3LhxpPXKM888U6ZMGezN23eC+GsepHz58mF/os9EkAcffBADAF7Sgv0oBd5wli1bFjt/++23SRtbcCIAycGCmyT88wA2fOcdEvMIjuTDD0lMK7xxjybff/99gwYNaGE06tWrd8QRR9x+++1z5swho2I+//zzYcOGtW7dulKlSmStcfbZZ3t+5FOSuOuuu8gjxcAu/IILLpg8ebLOPwsWLHjooYe6dOmyzz77kGkx+brDoyvycxrgzRY3bdpEsm8C37hPnz4deuvduzfJyUJ8zXTQQQeRKmgg9eAhVN4PrF69Go2RPn36UAWTJkqXLg2rD/+G/YYN7xkFwGskqWIITgEgOVj8b5XwPjPw5/J7kqDI7Ldf9uhRuotcHuGNe1z4+++/f/zxx1tvvbVTp06VNSpUqAD/tmzZskePHvDaDUu5detWsmas2bVr119//fX222/37dsXnVlYWAjveaDQuXPnq666asaMGSFdZhM2+TkNIOwgfQT4S+fAN+7YGwkJ4sQTT8Spwd6FVGGyYcMGPNyhhx5KqpKMHDkSDZB5qbzhA4PXXP0r55cg77///nDcmD4mWTtjspAcLGKf5K//zAEHUCfhPL/dnAYN/I88YfDGnWESQ95Og//+97+QQa6//nqSXdK2JFWqVMGUtOeee5JKA95vUQM3dOvWDbr64osvSE4Et99+O7ooL4+EwEMPHDiQ5KKievXqoRKoXr06aZmUcfrpp0MAFAb7c0aX4PWm18btaZraqZOF5GAJdqs0ZAh2lTn+eNKEQOb112nAMXzKTNjwxp1hEkM+T4Pjjz8ekoiH28ts3LixlALQuYfLlY455hhoOHjwYJLjz+7du7PZuqDgk08+IVU+WLZsGQ5DxvM7NybuZDIZjIHff/+dVPlj5syZOBiS4wAOGCA5WMQ+Kdj+jzgC+8yUKlU0fTop/bBuXVGHDv8M9YcfSM+UhDfuDJMY8nwadO7cGfLIkUceSXK+wTvJROdunf754YcftFwdlXyHg7nooov4xzRpZsuWLRgJJEcDHJLbe9fkCxwtQHKw4CYJ/0Ig89FHRWXKiENk6tQpuvzyop9/pmor1q4tuvfe7K0hxdjgb9QoqmWs4Y07wySG/J8G77//fhSySaQ+/wsK/ByxQYMGJEeDVq1awaief/55kpmU4WHXvmbNGre/yoAz+oMPPrhP4+OPPyatE24HlkdwqADJwQLdir/wySxbVvTkk/RzUuu/TKVK2ecoff89NWOU4Y07wySGqJwGtWrVgoRyyCGHkJxb9thjDzh648aNSU4Ev/76K0wqwMvHzzrrrGzW1yhVqtSGDRuowj177703dPLVV1+RzKQJDCESbNE9dEklmPv370/WFixYsIBMzcA3Ffm95l4RnA5AcrCIfVJI/TO5hTfuDJMYonUaYFpp06YNyeGDv2otV64cyQkCnUmCb2rUqAG94S8HEG8//BVgVyQwqeGyyy6DdX/vvfdINuPcc8/VQixLgwYN4A0elh037mgG3HjjjaSSoLqCgr59+5LKjOuvvx5sHnjgAZKjCs4FIDlYcJOEf0z84Y07wySGKJ4GjRo1wvwyefJkUgXNI488godo27YtqZLFgAEDYHZPPPEEyf5AXwFy2efG/dNPP4VOTj31VJKZdACL7vg+GWyGDx9OQlHRl19+mQ04p427eMzqSy+9RCoDaAD8bXt3QrQhIargIAGSgwU3SfjHxB/euDNMYojuabB48WJKMwUFHTp0IK0PVq9efeCBB2KHFStW9LnvjDhBfZ4tLv2vVKkSalAE/DsQ+yGBSQFff/01rPjpp59OshoqG/e1a9eiDUAqM8RzDFq2bEkqM9q1awc2CxcuJDmS4EQAkoMFuhV/TAyBs+bKK69s2rQpRYkZUHvVVVd999131CaycDQyjEQ8ToOnnnoKn6qI1KxZc9iwYcuWLbO6Jfn27dt/+OGH888/v1q1atSmoKBs2bLTpk0ji0Szbt06mK//Hwx88cUX6LpTTjmFVNJ2wf/G/dhjj4V+/vzzT5KZpHPFFVfAin/22Wckq6GycReXtls96gv54IMP0KxChQqkMuOhhx4Cm+eee47kSIITAUgOFt4qxY2zzz6bAkID3nyOGzfu119/pWozoHbs2LGHHXYYtdE499xzqTo6cDQyjERcT4OHH3746KOP3mefffDhKTLly5dv0qTJ8ccfP3HiRLJOGQsXLgQ/nHXWWSR7Yvjw4ejP//3vf6TSQCXgf+N+4YUXQj+//PILyUzSOemkk2DFf/vtN5LVUNm4t27dGm1g+0IqM5YsWYJmpUuXJpUZb775JtjcfffdJEcSnAhAcrDwVikOyE+eHjFiBGn9MWzYMOqxoOC+++4jbX7haGQYCT4NEghsjCDnduvWjWT3HHTQQZi4V65cSapiUA/437j36dMH+lm8eDHJTNK58847YcUnTZpEshoqG3d8IgTQqVMnUpkhfudatmxZUpkxatQosHnrrbdIjiQ4EYDkYOGtUoRZsGABLj28/1y9ejVpg0Z+ZF6eryzlaGQYCT4NEgje0q5evXoku6RixYqYrEkuCVYB/lN58+bNoR/7nwkyCQNWvKHLJ9KrbNzHjBmDNgCpzBD3l6xZsyapzChTpox9P1EAJwKQHCzQrfhjIgNexAW88MILpAqfW2+9FQ/6+OOPkyrHcDQyjASfBskE7964e/dukpU5/PDDMUerI98AxBXQFnZIJDDpAGMmk8mQrIDKxh1AG4BkM8iioMD+2l8wiP6t3HEiAMnBIvZJIfXPuASfywHMnDmTVLnl5ZdfxgG4fRRaAHA0MowEnwbJ5PXXX4cM6+Ey9w0bNoywBm9xjQwdOhQ011577bp166ixG6655hroZOzYsSQz6eDtt9+GdT/66KNJVkBx496lSxc0q1KlCqlKIu6w8a9//YtUZjRr1gxs1q5dS3JUwbkAJAcLb5WiROXKlWGhzznnHJLzR9u2bWEkderUITk3cDTmHHhZv/HGG7UE44Jy5cpNmDCBumBCg0+DxFKpUiU4kQK/AhLPT8DPpTIeHnrPJAb8VgfeW5JsoGvXrm0kDjjgAIyWMmXKHHbYYaRt0+aWW26hBsUMGTIELZGrrrrqqaeeuummm/ALKGTMmDFkbca4cePApl+/fiRHGJwOQHKwiH0Sn6R5Zfv27bjK27ZtI1W+wd9QASTnAI7GnDBp0iRcWeTKK6+kCmX+/PNP+e5GVapU4eejhwGfBolF3IKd5IDAPgE/G3fsYceOHSQzKaNu3boQAMuWLSO5JBgejlj9DvXrr7/GJyLLHHHEEUuXLiULCyZOnAiW9jeUjA44L4DkYBH7pJD6ZxSAzXqIS+wD8eKydetWUoUKR2OYiDvIAfPmzSNtEOD3q8hrr71GWsY3fBokGciqeM6QHBCuLlA2gkNatGgRyUz6EB+NR+V+c0VF559/PoynWbNmJEcedCBAcrCIfVJI/TNO7Nq1C9cXCqTyyubNmw855BDsTYf9ZWP2YA8khApHYzjgCgJh3yJi9uzZeKAGDRqQivEBnwbJB0+YP/74g+T8IT/eUpC3OxUwOefqq6+mVdfAz8WrVatG1fkDxxOvUMQxAyQHC2+V8g3e3Qv23CR74sgjj8QgAUqXLv3cc88tX7585cqVv/3227hx4/DSeTJ1z3fffQfNmzZtSnJ4cDQGivgm58QTTyRVrqhduzYct3z58iQznuDTIBV06NABzpZ99tmH5Hxw1FFHwRhElv/hhx+ymUOia9euWMUkjH79+tEaa0DupgoNVA4dOpTk3AIvXXD0UqVKkRwf0G8AycHCW6W88t5778HKHnfccSS7R1zNAtxzzz2kDZr99tsP+g/9UyGOxuBo2LAhLFku3m5ZU6FCBRhD9+7dSWZcwqdBWhBfvF5xxRWkyhX4OBvA9ILI7du3N27cGA2QmjVr+v92mMk7vXv3phXVqFatGqw11ZXkr7/+Qptc/iq0U6dOeFCfH2rmCxw8QHKw8FYpr+y5556wsn5ubYSxAcydO5dUIbBq1So4RN26dUkOCY7GIFi0aBGGBMl5Zdq0adEZTOxgr6WL3bt349mSm0/f8VN2QPESukGDBqG94MMPP6Q6Jib06tWLFk8D3pVRhRMQnGXLlsVW4d0r+pdffsFDROESHT/gLACSgwU3SfjH5BxY1nLlypHgHhHke+yxB6lCAw9EQkhwNPrmvvvug2WK1DUqYjeShycDxBw+DVIKXjwDnH766aQKjoEDB2LnBx10EKlcMnXqVOxBcPnll1MdE0lOPfVUWiqNli1bUoV7XnvtNeoluC+IzjnnHOqxoGDGjBmkjTM0mZC2MrxVyiuwrFWrViXBPRdeeCHGxkX/z959gElNrX0A311Yll6ldxEFFKSLiIoFRCxg79eCCortWhD8FHsDvdjhYseCBRFRrl2sgKKgoqKgIqhU6QhLW7538/43ZpOZ2ckkmcnM/H/PPpD3nJOTzOTk5MxMynnn3XTTTTrtdP7552MGD7QqBAFha/TmxRdflG0U/3coyaTtx/uD2LMKd4Nsd9RRR+meI8444wykuidHCNRi3HoPqZ6tXbu2YsWKqNfQpk0b5FEIHHbYYdgwBt+3zlVXXYWqDT179izzAR87d+4cO3bsfvvth3kMt9xyC7IzBV5YQEMZDpVSSjarl4H7/vvvr21D9e/f/6uvvkLerl3fffed9exE2cWQkRCtBEFA2Bo9kGOol2307rvv6uzRPPTQQyiaKK3H493qsgp3A4IdO3Y89thj5cqV071I5ebm1q5dW3p5cdZZZ+mEpEg6ShhkrnvvvTfo+7L37dsXyzPk5+f/8ssvyKPk6ty5MzaDwcv36678+eefF1xwgXyWy8vLw7JLk6ZYt25dGYssX74c82QovOCAhjLmOCmg+ikm2axezmo46KCDtG3EuLx19uzZWkasXr0aqe5pDQgCwtbogXaV0a4vis085+qJJ55AUok77rhDs0T58uWRmhB9pBfvFBk/7gYUr/A8Am3cuHHaX5jCczvwzGb7Ji9p43VywjYIaCjDoVJK6cWpCY+n5cOtto0999wTSZFoGSGDeCS5tGnTJpmdF6eG1uuvvy4bqF+/foh99emnnxrNp5jHJ/vqg955snucuBtQGpNP6rbv/qM9TZO86NatG95fw2GHHYYMSh1sjICGMhwqpdRbb70lW3bAgAGIXdq4caO2DRFtRGW9X2TCt69p27atzB74r1tsjYnS4yMCv82cOdNoPsWQlKhnnnlGKrn22msRU0zcDSgTyEGoffv22oOoGjVqpOlt/sKjXbt2eDcNhxxyCDIoBLBVAjoq6yBJ/ygV9A5LCXdi1ps7IcnCOmpP+Lr/H374QWZv2bIl4uCwNSZKNzECX1mfpuf9m3K9XXXt2rURU0zcDSjTDBs2THsT07Rp05BHZZEjevPmzfHGGfj9ejhh8wQ0lDHHSQHVT2Uxn7yB2D1nT6gPvrFauXIlSrunNSAIlNkUk7O4DOLLNrLe5suqf//+GzZsQCHPtE4EFBPfJspYs2bN0r7AdPbZZyOPStu5c6c+jNo0cOBA5FEoYTsFdKjTQZL+UYqsX7/el018//33d+3atXbt2rVq1ercufNNN930559/Ii8h5hf2iV3y6BpbY6J0MyFIlGzuJwzjxo278sorDzzwQK3WNGnSJBT1QOrJy8tDQDFxN6DMJ0cX26i0cePG0hkhO3i//vrrc889d+GFF3bp0qVFixY1DFWrVpWDqIyP77zzzhTeWbxly5Z4UwxnnnkmMijcsMECGsqY46SA6qf4bNu2TbdyeE78++OPP3SVECcBW2OiAj3HXZgHVo+Pdnr//felEn5bFCfuBpRdTj75ZO1oTL7fLeeTTz6RDwao3dCmTZvbbrtNFrR8+fItW7ZsN+zYsWPFihULFix45ZVXZLiMoiVOOeUUVBeMhg0bYkmGiy66CBmUJrDlAjoqm+OkII/6FCcdfg0aNAhx6hxyyCGyJjVr1kScHGyNibr66qtlewV617XiPsjw9ddfI8m9Pn36SA2ffvopYoqJuwFlqUmTJml3Yxo5ciTy3Fu7dm1+fr7WU6dOnXXr1iEjIUVFRVdeeaXWJsaMGYMMbzZv3mw7yfWcc85BHqUbbMKAhjIcKoWMedv1OXPmICm59EY3wsv4LEFsjYkyT2pC7DezfuHxaQCVK1dGQGXhbkDZTrobvYmsqUOHDsiLQ40aNXSu5557Dkl+a9q0qS7i448/RpIbmzZtqlChgtagLrvsMuRR2sK2DOiQbI6TAjvkx7B06dKFCxfOM3z33XfLli2Tz5zIy27mg4RlGI2k4D3yyCO60HHjxiEpyVLaGtPdf//7X9l2id1jQLf7lVdeGfEi5hNOOEELCC+Hv+rVq0sNSbpeIiNwNyD6xwEHHKDdkCpXrtzvv/+OvNJkMKFljjjiCCQFbP78+brEM844A0kxbdu2rUqVKjqL4l1yMwk2akBDmaQMlWbMmGF7pJdq27Zt3xKyf+25554VK1ZEXon8/PzgPiqHnLxv+iZUrlx5y5YtSPXbqlWrdCkiBd+yWyWlNWaw1q1by0Z88MEHEcft0Ucf1QYQw4UXXojSCdGHcN99992IKQ7cDYgiuOuuu7RXMj3++OPIKxkzXX755YiT6O+//9aljx07FkmlFRUV6RcYpjvvvBN5lEGwdQMaygQ2VHrppZew3sZDzidPnowMl3766adjjjkGFeXknHDCCcjIJsOHD8fr9+9j+SWXXIIac3JGjRqF1NQKrDVmD73s6qabbkIcDvvss08I1yr8uBsQxfLdd9/l5eUZR7Fi+h121apVkZ0ib775pq4PYuOEH00x3XvvvcijTITNHNBQxhwn+VT/tGnTsLo5Od9//z1S/bPvvvtq5UceeSSSssmaNWsOPvhgfQfUAQcc8PzzzyM7uqefftr2o4d8HArdiUl+t8bs0alTJ2zXnJwrrrhC/t19992Rl2q6Vq+//jpiiht3A6J4aUfz7rvvIk41XR8bfr+eJbC9AxrK+DdUMp+/+8033yApMDt27NCTanJzc3fu3InU7LNt27Z58+b1799f3/loypUrd+KJJ/7000/yvmHOcPKvNWaDxYsX225C0LJlSz2lau3atZry66+/auGUePnll3U1knlT5kzC3YAoLtrRrF+/HnE4mJfVPvnkk0ii7KDbXSD2lx9Dpa5du8rq5efnJ//wfM455+ibk83D98zhR2vMeM7TO4cNG4a80gYPHqwFgrtAIhrzSq1XXnkFSeQedwOistWpU0f6Gu/PQLn44ou123KaPn06Crmkd2TfuHEjYsoO2mwEYn9Zh0r84194/shix44denGnqVy5cnH+tGVeIpLwoceVW265RRcX7eosih93A6IyDBkyRLobL5e9m48/VFdeeSUyDK+//nqrVq2kX0PsnlaLgLKDbnSB2F/mOIl//AvVH1m+tza1adMGeS59/vnnqCInJ4gHeD/99NNaeW5u7vbt25FK3nA3ICqD9jsI3HvllVe0hoKCAiT5Te/U+5///AcxZQFtVAJxOOgqyWgAcTjoWi1duhQxURqSHl5bssnHJ3K89957qDQnp3nz5l4eFGDe+F/k5eVFu6UyJYwDd6JYHnjgAel9vPy6p/2XQByMJCyCQkW3uEAcApUqVZL1WbJkCeK4rVq16o+4YR6XcnNzZd34nR+J+fPnn3XWWTVr1jR2oLI1btx48ODB0koxf3L16tUL61Hio48+Ql4wPv3007333hsLK1GvXr2DDz74DMPo0aPl39NOO6179+62C2HFwIEDf/75Z9RFAeCRniiW9u3bS0+0du1axC6deOKJ2pc9++yzSApGtWrVZCkIKAtouxKIU23AgAGyMgl8xJ03b56+kDj169cPc7ok8+bl5SGgLGO9MaJ8ips8eXL8A/Fly5ZJw8bMhgMPPBB5wVi9erXtcRzyMWPDhg3IToV169b9+OOPn3/++YwZM8aMGSP/zpkzZ8GCBXyqcfLxSE8Ui3aaCNyrVauW1nD55ZfrREQXXHABZkiUPl8j7Ld1I/9oyxGIU0oO6rIm+fn5iP22cuVKfbEi4Ub+2GOPyexDhgxBTJnOevqHj0/5KSoqGjZsmFYrHwUXL16MDM/GjRun1Zo8PpeUMlJSOn05tPCPf+n5V9foPbc50uP8s/o/R6787Y7MYrYsV3/Fd71xJPIv7H8eGBu8GOKUatWqlaxJwuexxLZz5059pWLFihVITYieMIOAMpf51Lx58+YhKRgTJ07UBe2xxx5Ickk+BvTs2VMrUdJKk3OnF0pTHLjzj3+x/k4wetJvHelx/hU/Z9Uwy5Fl/h2FIjkdHVnx/+UbNdgS+Rf2Pw+MDV4McerIyENWI6CzULRy5f18s2OPPVbqee+99xBTZjFbS+vWrZGULHrGfPx3IFi0aJGuqqlJkybII4opuQN3onQza5YMuXP69++P2CU5fminfO+99yLJ4cknn9QyjRs3RpJLK1askNmbNWuGmMLM7A+9dYnaZgTi1Fm2bJmsxr777ovYV/oaxfDhw5HkwYwZM6Sqk08+GTFlkAYNGsjGrV+/PuJU0OuzDzjgAMQO5u0RTWeffTbyiOLDgTtRGbR7ReDSV199pbMLJDnUravn4yR+FqaeqJDA3TwoBcz+MNFGpbTNCMSps3DhQlmNgw8+GLF/zOvzOnXqhCRv9DNGly5dEFNGWLx4sbaThO8i4KOIK9OvXz9NNL322mvII3IpKZ2+H0cpolRZs2aN9LM1atRA7NIJJ+jpNsWQVML6YKaOHTsi1aUpU6bI7N27d0dMIWf2h966RG02AnHq6A8+7dq1Q+yTtm3b6gv08ZrXTz75RCocNGgQYkp/o0ePlm3aoEEDxOFgtNyc2rVr64QqKChYvnw5ShAligN3KiZ9X8uWLdG7xGGvvfZ6+umnMXMW0GND165dEbv0008/6fsWkZeTg1evXi01VKlSBTGFn9kfeusStfEIxCnl+5pccMEFWme5cuWQ5Idu3bpJnfPnz0dMae7aa6+VDRrQaVoeNWnSxGjCOQMGDEASkR84cM9S06ZN0xssiPLly1944YWubrJWWFh4+OGH6+xChp4yNkVehrr11lvllbZv3x6xBzt37sSUN99++62+/4gpLZj9obcNp5teIE4p+Uwra7Jw4ULE3tx888360kRRURFS/aB1IqA09/PPP8vWbNGiBWL33n//fW0SER1//PEolyg9yG7atAkxkR+S0oX5cZQiX+hDUkTjxo1Xr16NVM8WLFhgfgyQAS5SM475xTnilDrvvPNkTZo2bYqY0oXZH3prSNoUBeJU82tl9PpR5e+zKkeMGCF1jh49GjGlOW0kCFzasmWLzi6cpykOHDgQeTk5Xm7Tbp4MiZjID0lpT9Jq9Y9SRE+oEPXq1UNSMAoLC3VBAkkZR1/dpZdeijjpNm3apOswd+5cJFEaMftDb/uItgGBONVuv/12WRmP+4X1QUv+ntCyfft2qbNatWqIKc1ddtllskHHjRuH2CWjiRWLdpHokiVLUMLbLqZflj311FOIiTxLSqfvx1GKEmPeLPbhhx9GUlKYj/rfunUrkjKIXq4qJkyYgKSkKCoq0l82jjrqKCRR2jH7Q29dorZAgTgEWrRoIeszefJkxC5ZvwS95557kOqHzZs3o14Db8CXAXRTInDJ+vkQSZGYz72+4447kJQQqaFy5coIiDxLSqevh6gwHWCyhHY6N9xwA+KkO/TQQ2UFqlevjjizrFq1St/hJNzQ4LnnntNlySciJFGaMvtDb12itgeBOByaNWsmq5TCPsfJHLXLdP369XVaPfnkk1qG0o5svoR/PzF/ghZIiuT888/XMp07d0ZSQrQSBESeJaUxSZPVP0qW559/Pjydha5JQI9DD4O+ffvqa9xrr722bduGVD+MGjVKaxbr1q1DKkXy9ddff/rpp68b3njjje+++87Hqzj8ZPaH3nZPNItw7ONWekOY2rVrI06pO++8U1amYsWKiA3WsyDUihUrkEfpYOfOnbLV6tati9i9pk2b6qbPzc2NdgG0+YQNj8801Z9JERB5lpTG5MdRiuKn48jjjjsOcQhUq1ZNVinG00Mzwz333FPczRvq1av3yCOPICNuv/7660EHHYQqcnL23ntv3pHA5ttvv+3QoQPeoBLlypUbOHDgddddd6PhpptuOvrooxs1aoTsEpUqVbr55ptRUaqY/aG3LhEvKZT9qp5QLhI+bcY7GdvpgGn8+PFIcpDPeLqeqmbNmn7d8YmCJturVq1aCBKiFyvHw+Pzv7QSBESeceCeafTXvWHDhiEODX265wsvvIA4061du1Y+O+Xn5xuddrzkUDR79mxUQSXmzZuXl5enb5EMxxO+z8PGjRsvueQSrUek5lIBsz/01iXiNYS4X33qqad0DT/99FMkJYV+HSuaN2+OpLKceuqpOos69thjkUFhpVsKgR+++OKLmTNnIjCcddZZupSRI0ciKSFSQ4UKFRAQecaBe0aZPn269BEJnJBnfkMWpw8++ABzulGpUiWZd+nSpYiJYvr111+1vZUrV27BggVI9U+PHj20/qRerWj2h966RF1zgTisJkyYoOuZhMszPvzwQ11Wwk/ksT2HjjcDCa1evXrJBgrua46ioiJtAwJJCdHTVk8++WTERJ5x4J5RvPcyMfz+++9av0CSex5npyxx5ZVXalN58803kRQkPZXLx0frx6Kdof55oO+PQBx65j06fB/EvPDCC1qz8OXbfevFiyrjHzCXdjZu3CjbJbh9tly5crrp58yZg6SElC9fXipx9XxDotiS0un7cZSiMl1zzTXSQTzxxBOI/WZ0YsW89EEnnXSS1DBlyhTERKWNGzdOm9mGDRuQlCx9+vSR5VatWhVxQMz+0FuXqO+SQJw+zMfAiU6dOn300UfIiNuWLVusJ7fI56558+Yhz1evvfYalmEIyRW3pE477TTZKImdF7p8+fJo16TqY4CVFENqQuQzqlQyatQoxER+4MA9c2hHg8BX1h8NPT7VfMWKFVJJ9+7dERNZaBv79ttvEaeCnkw/ZswYxL4z+0Nve6u+VwJxepo5c2bDhg3xStwYP3789u3bUUvwLr74YizYcOihhyKDUsR6Ef8333yD1LjZrmpw+vrrr1E0UXpPsLZt2yIm8gkH7plDuxsEvtKaxcSJE5HkgVaFgMjw4osvSqtI0skqZdHTsj3esyIqsz/0thcYu1ExxJQUeqN60wMPPIAMCt7atWv1rDZT7dq1deKVV15BIZeKioo2Gv7++28k+UHvQ9qqVSvERP5JSqfvx1GKyqT9FwL/VK5cWWseOnQokrzR2hAQ7do1fPhwaRKh+h1GhgiySoF8kDD7Q297gbEbFUNMSbR169YKFSpgAxh4EnxwXnrpJbzLJU455RTkGTp27CiJBx54IOJU22uvvWR9hgwZgpjIV0np9P04SlGZjA7N5zfZ/D6jWbNmSPJMaitfvjwCynr6UNg+ffogTsjIkSMbNmyo15PJvzJ9zTXXIC9Rf/75Z3HT973jMvtDbzXrugnElAr/+9//sBkMBQUFmzdvRh55c8QRR+BtLTFt2jTkOcyfP1/L/PXXX0hKhblz5+pqmFq1asWHA5C/ktLp+3GUojJpN4HAD3qtnvDxnAEdDHkcpVHGMO9Ditgls4kK+TTYsmXLk046yfbcpa1bt6K0e3q7knPPPRexL8z+0Nveqq9OIKaUsp0Ef9BBByGD3Pj9999tz75o0qRJ/LdDOOGEE3Su5N/FZdWqVbroa6+9VlN69uypKSr+pwoQxZaUTt+PoxSV6fHHH5fe4a677kLszZAhQ7S7EUjyQ6dOnaTC7777DjFlN71tdmJfklWsWNFonlEHSZor1q1bhyT39CaGCHxh9ofeqtWXJhBTOOy7777YMIZbb70VGRSdebN/0znnnIM898zbFr344otICtLtt9+ui4t2f5sDDjhAC6jWrVsjgyghSen0/ThKUWx6eNB+QVO8ePnll7Uq4eNXF3///bfWiZiym7aHxK7fmjVrlrYlgSSHzz77TAtUqVIFSe59/fXXUsMRRxyB2DvtDPXPA31pAjGFyZo1a7B5SqT2XknhdNRRR+HdKTF16lTkefbDDz+g0pyc5557Dqn+0ctPVZx3jdx///0xg4EjeEpMUjp9P45S5PTll1/qs0hNerRo1KgRSiTk888/19rExo0bkeoHVGpo3LgxUilbjRkzRlrCww8/jNiN8ePHa0MSSIoEJbyd+SqzFxQUIPDO7A+9dYn6ugRiCiXz06OqVq0aMrJVYWFhnTp18HYY8vPzV61ahewA/Pzzz1hSTk7lypVvvPFGZLh3+eWXmw9mkj5hxYoVyHBJr6Y1NW3aFBlEceDAPc388ccftlMAxXXXXYfsXbseeOABSenUqRNi97RO8eGHHyLJD1WrVpU6N2zYYJ6GaJo1axYKUTbp27evbP1ff/0VsUvaeMTixYuR5GDe+sPLTT+0BgTemf2htzp1rQRiCjfzYcCqQ4cOyPBVUVHRK6+80rhxY30cQTxkJNqiRYv3338fVQRj2rRpWF6JI488EnlJtGnTpuOOO8725khYpUqV2gZZK52QlNzcXJQwyJF36NCh/t410nZiVaNGjfiMVSoTB+7pwfqwCSXDX+Q5PPHEE1Kgfv36iENA1/n7779HbHjjjTc03TR48GDkURbo1auXbPSVK1cidmnBggXabJQccR8xjBo1ynZ9qvDy4DCtAYF3Zn/orU5dK4GY0sQ+++yDLWe46aabkJGoefPmmV8Diy5duixbtgx58ZGe2TqCLF++/C+//II8b/RR2VZBnLXiozlz5mAquWznwdeoUWPLli3IIyqNA/fwOvPMM7ETl9hjjz3Wr1+P7JhWr16ts2zatAlJKbJo0SJdkxhfJPz9998NGjTQYqpp06bRnkdNGUOGLLKtJ0+ejDgh27Ztcw4OmjVrpneOkyGIpqxdu1bLJ0Bm9/MGpmZ/6K1L1NclEFNakf7NvLpazZgxA3nxsZ5j/frrryPVD1Ib6s3Jefrpp5EatxUrVtheWu3atf39ojqD9e7dG++aoVatWtLFIY/IwIF7uIwbNw77a4kKFSq4/frE1Lx5c6khhXeh0mGTq/sDXHbZZcbr/scbb7yBPMosGzdulO27zz77IPabeSN2L1d96HUjXbp0Qeyd2R966xL1pQnElJ5mzpyJDVki9p3gd+7ciXI5OXF+j5OwhQsX6oLieRLZK6+8ooVNRx99NPLIPdtt7D1eukaZhAP31LNeDGp67bXXkO2ZVrj33nsjTgpdaJ06dRC7N2fOHK3EdOyxxyKPMkX16tVlywb0zBptNgJxQpo2beqxBjuzP/RWrb40gZjS3K233ootanBep2Teleuoo45CUrJ07dpVF+38IfS0007TLNNTTz2FPPKDbQTv48MQvfvuu+/efffde0tMmDDh7bff5q8rQUtKp+/HUSrD/PHHH7Yr64WXq93LVK9ePV3KF198gaQA/Pe//9Wl9OrVC0l+aN++vVarKleunPCJ0RQqixcvlg0qw3fEPpk6dao2FfHbb78h1T19DmKPHj0Q+8LsD711ifrqBGLKFJ07d8amNQwdOlQSq1SpItNe7jrgXatWrWQddtttN5nWD7RWixYt0mIUENtZNMm8F82OHTsOP/xwLNiiW7duZ5111n333fcfw2233SYf5GrUqIHsErVq1eIDDXyUcQP3d9/d1bPnP0ss869z513uz+FLmPm9hem4445DXlLMnj0bC/b2hAsb6wMsE75DVjxGjRqFxZR4/PHHkUdpSE9zF9L1Iylu5h1jlC0UcghB0URpPQj8Yu1/PNB1E4gps/z999+2Jr19+3bkpc62bduwNobu3bvzef7JZ/sOvmbNmkFshc2bN5tD8Nzc3AkTJiR8tv3q1auPPPJIrUqceuqpyKCEpP/AffXqXXXqmIso6thx17Jlu+K/rnHNmqJ+/czZd1WqtGvePGT5ZNCgQWitJRo1ahTQuQHxk2PA8ccfjxUybkl7ySWXrFmzBtnRySfvJUuWDBw40LzsTwT6W0FEv/32m+22mPvvvz+vZ00LX375pbXxmO655x6UiNvWrVsnT57cv3//OgY5Ntx7771+XZCta4XAR2Zv461yXT2BmDLRxRdfLJt4r732QhwO+vyQ2267DTGliG0EL5/0vJ+mIoMT8z6YCXyfUiY5TO++++5a/9lnn41UciNtB+5vv/1PtW++iUTvlizZVbUqqh05EonuPfPMM9ouTfLJ9YcffkB2KD322GNdu3a13lYsIhkuH3jggaG6YLRLly5YuRJ+3cuM/LJgwQLnjaWtP56ed955ktKtWzfEKWXeCgmxv7R70T8PdA0FYso4Omrv168fYg+2bdu2dOnSZcuW+XWSoT4E9IknnkBMKSWNxOgMoHLlygl8fzFp0iSdXRoekgKm1zgJ3jnHlfQbuBfVrYvaEn1uS1x27HC72u+99542QasXX3wR2RS8+++/H+97iTFjxiCPUqFnz57YEiVinKD122+/aRnEKaLns/l5Gxkbs2Px9kr1vRKIKbN88803snF33313xO5NmDBBW0g0deVg6oF+785T20NlwIABunFVlSpVCgsLkRfd9OnTtXygl8BFY97DHjGVJSnvlB9HqWIFBcWVJPlHwzPPxMpHOg1DPtQ2adJE25zp+uuvRzaliF7yaCWjMeRRwJxPxo3/+QOiW7duMkvNmjURJ5F8zNYVDvYue9qf6J8HuqoCMWUWjxtXZxcRb0JifdwPktwrKiryWAMF58QTT9Sto+pEv8ObFnjwwQcRp4ie+3rSSSchpuiSssvJjq1/icJp6NWqIU66okMOkRUoqlJFpjdv3mx79J048MADeYJ1ONlOpMnLy/v999+RRz555JFH8P6WkJG3lx/la9WqJZWUK1cuORfkDRs2TFc7Geezmf2hhy5R6AoLxJRBLrroItmy48ePR+zSvHnztG0IJDno9+XCy8+SejLP7bffjpjC59xzz9UNraRnNscqH330kaRIN6thyn322We6kogpiqS8QXqISnhj6LwpH2xJWzfWpEndutq22rRpw4cSpxHn4HL06NHIC4d33333xBNPNE/7c6pQocJRRx01derUMNzJ4YMPPsBqWUyZMgXZfrjgggu02mOOOQZJvpI3XOsvKChAUhJoh6Z/HuiaC8SUQbxvWa1BSHeBJIu//voL2Z7bj9QQz+OZKOX+9a9/6RZXej1bam8w6rRjxw5dva1btyKJHJLS6eshKoEOYuHCBGcMjl66OnEiQkpDv//+u+2ONJ07d0ZeEq1bt65Dhw5YA4N0rB999NHGjRtRwkH6slmzZl1++eWYwVC/fv3vvvsOJQK2dOlSWRwWXOLuu+9GdmBOOukkLCwn57///S9SE7Js2TK9HbVKwSXj2qd57tnwArxVQuEkm7VSpUoIEmJ9wKowb9m0adMm8zJx6X800QutCgGlg1NOOaVt27ay1Ro2bIikOIwaNapPnz76VIE4rVy5sn///rKUypUrV69eXaaXL1+OvJjYqGJLylujhyi3m0E2cAJzJUG9esVr9dZbCCmdWW8uK8qXL//9998jLxhnnXUWFpaT8+mnnyLVg4ULF5pH4u7duyPVV7YHYIkBAwak5Nww+bTTt29frIShdu3asnq33377l19+iUKGJUuWPPvss3KoaNy4MYoaZDyUkguw/qHdmufODa/HWyUUTrJZa9SogcAb5zUn0l386t+tHfTWrggoHcjoWTZZnI+9cz58BhnRLViwAEVLOO9WF/tESum9pUzFihURU2lJ2d/0EOV2387JKUq4Ozj++H8WGvFv4UKUTEyFCsWVrF2LkNLfq6++qh2KacSIEcjzg4zRtVpXX3K4dfDBB+tSxo4di6REnX322VqVqUWLFsgLmS1btjz22GPnnHNOO0PLli3l35NOOunaa6+dPXs2CoWHtSPyAFvFWyUUTrJZqxiXVHmxcePGgoICbSTi/PPPl/0CgWHw4MEo6oFWhYDSQTybTHp7LSYOPfRQSUFQ1ozmFyu5ublIspBPjJorbr75ZqRGcuqpp0qZhC/zyGxJ2d9kS+tf3IpkiCDlV69G7EbRk08Wz5ufv+v995FUoujUU/9ZGY8XL2sllHEKCwttZ4M0b97cyznld9xxh9bz2WefISlgq1at0iX26dMHSfF56KGHdEZT1apVFyxYgGzyhdkFeetAsIXYC2Uij1t269atWoO44oorkGoxdOhQZOfkXHfddUhNiNRQvnx5BBR6n3zyiWyyHj16II5CylgHzdYWhaRIzDvBx/iyfOHChVpGxHgSpd6zKDwXzoZKUjp9PUTF3w2tWyeFiwK6h4wMntyuT0TyGVRq+PBDhJSJ9KlAVu87Pg3GYD7HJyW3OjYfTv78888jKZL33nvPfE6eKVQP2Mo0Zv/jrQvCpvJWCYXTMcccI1v27bffRuyGeZdGIYMkpDoUFhaiUE7Ob7/9hlSXHnvsMZn9rLPOQkyhp03L7U+RcQ7czUNJ7G/KZVivxe666y4kRaIXI/3555+IqURSOn23R6n//Ke48HPPIfTX+vWu1yeiX34pruGIIxBSRps1a5Z2NKbTTjsNeVHoDQ1PPvlkxCmiD2HJy8tDbFizZo2untVID48KJhfM/sdbF4TN5q0SCifz3hqI3TA/sQskRYFCOTlLly5Fkkt6dQ1vhZxG6tSpI5vM7Q3x4hy4o0ROzuqYp0uYF03Ffr7YJZdcImWmTZuGmEokpdOXLa1/8Snq1Km48F9/IfZXlSq6MkXen6np5kVRxmjatKl2OqpSpUoyDkaewbyfQ3juFqrrY3ssttCTFymptN/w3HtgE7ILylA333yzbNwTTzwRsRv6raqK+EDAl19+Gdk5Oeeddx5SXZLeQ2YfN24cYkoHutERxC2egbv1px4kRWHeEyL2hRz33nuvlHnkkUcQU4mkdPqyFfUvPkV5efEXdqdcOV2TnX5clOPqRVHm0e8DrPQu5jqtZcJDvxurW7du27ZtY5xZSIHTfsNz76HNTCCmjKP37Hv99dcRu9SsWTNtIdH07t0bRd0bMWKE1HDYYYchpjTRvHlz2XC2L5vK5O/A3byAtVWrVkiK5MILL5Qy06dPR0wlktLp6yEq7gNMUffuxYXju99nvL799p/VWLcOiR7l5BRVqIBpymJffPGFdkOmbdu2Ic8l51OirPbdd1+US4hWgoBSxeyIvG0L3ZoCMWWiKlWqyCa+4YYbEIeDPoyzffv2iCl96PdNbp+U5/ZUmU8++QRJkVSrVk2Lxb6xjN5pdMeOHYipRFI6fbdHqSeeKC7s122AZKubK3DBBUj0rOiHH4or9HhrGsosei7K5MmTEbth/brC+ev23XffjbycnI8++gipLv3+++8yu/fbzJEnZnckfx5oYxCIKUPpffHq1auHONX0JOlbbrkFMaWVzZs3y+Zze7eWOAfu5v1G99lnHyQ5mNdviA0bNiDVQQ+ItWrVQkwWoRy4b9vmrnw0RUX/LLprVyT6pKhdu+Jqeac8KuHlejJh3oI92t3ZzLF7gwYNkORejRo1pIY//vgDMSWf2Skl2lSUNgaBmDLXxo0bdVt//PHHSEqFF198UVcDMaWnRo0ayUa0PbEutjgH7uvWrUOhnJwPPvgAqaUhu6ybEelNmWNf5Jq1krIH6iHKzd5e1LlzcfkZMxC7V5Sbi4UG8bybTZvcviLKeE899ZR0NA8//DBil66++mqjN4v6jbj5RIxHH30USe7NnTtXajj77LMRU/Jp1+G5A9HGIBBTprvnnnt0iyf/g7f2G+Kll15CEqUt89fdGGehyFFmuMWwYcN0FvF///d/SB0+/KqrrsIMJTZs2IByhn/9618//fTT+vXrn3vuuQYNGiC1rCs3/vvf/0qZMm/dlrVCOnAvprMkcJ+p/fb7Z4m9e+/af/+ofwnfzFEr374dIdGuXV26dJG+ZrmHazMuuugio08rZj1/9Mknn0RqWU+KLpN22XyUdCqZvZP8eaDtQSCm7KC32hCDBg1CUpD69++vi3vxxReRROlv+/btulkRO2huPDBDaTJSN2/WblW+fPnFixejUBR6y6NKlSohJoekdPp6iErgAJPYXLvv/s8Sy/xLgN5QsqzGR9mmXLly0t0g8ODbb7/VO8BY7S+fM32iFSKg5NOeR/880O0oEFM2kYGXOTC68MILkeqf4447TiuvWbOml+dGU2gtXbpUN3FRmG7Dr0/v3m233RBTJEnp9BM+SpkPSwoPY32KvvsOIVEJvS5nvTRaD6z3Vy5fvrz1yeTClyt1tCoElHzap+mfB7odBWLKVnvuuSeaQk7O4Ycf/uuvvyLDjZ9++qlXr16oJSenq99XhVE46eaeNGkS4pRq3LixrMypp56KmKJISqfv8Sil88Z8bHsyLFqENeFT4iiSW2+9VTqdV199FbFL5gmswnmf9UWLFiEvJ6dOnTpIde/nn3+WGvr27YuYkk+7Ef3zQBuDQEy0a9eDDz6oV/VF1KRJE0w5NG/e/Omnn0YtlE2GDx+ubSCFX73rE74FYoopHQbuu3YVPfZY8ey5uYiTT0+PGTAAIZHDihUrpN9J7K5t7777rnZbse/SpWVE7OvxYzj66KNldlkcYko+sz+UPw+0JQjERGVZ59czTCjj6Oe9goICxMny6quvaj/2wgsvIInKkh4Dd1W0776oZ+tWJAWvqHJlWWJR0lszpaPddttNOqDCwkLEcdNv60V+fj6SIjEfhThs2DAkuaSzI6CU0E5M/zzQTSkQExF50717d+1VknAtcqdOnXRZ77//PpIoPuk0cIeTT0Ztd9+NlCC8+64upWjPPZFCVJadO3dqT4TYDb22VTnv1vz1118jz8OpMvq8OrcPuyafafelfx5oYxCIiYj8sGDBAnQukZ4G6FGrVq205iZNmiCJXErDgbvatElGOqi2f38kelY0aNA/a/vDD0glipueMJOb0GldMq/zfjJWnTt3RlH39KEbzz77LGJKFbOHkT8PtEkIxEREvtqwYYP5M6+Qg8jPP//s6i5DhYWF9957b+XKlVEFn7nrh7QduFvdcYe5iKKCgqIzz9wV572uCwuLLr98V/Xq/8x+4omSiFyihHz77bfSPckQHHEIVK1aVVZp3LhxiCmFSnqb4j8PjINgMcREREH67LPPWrdunZubi64nDjVr1jz22GMxP/kkIwbuNi+8sKt9+13ly/+z3Eh/xY9W3XPPorFjMReRr7TbSv4zDm3Mh+TxDJmwsHZEHuhmFYiJiCgLZOLAnSgcjjzySBlX1a9fH3HS6Y2ZGzZsiJjCwOwPvXWJxqC9GGIiIsoCHLgTBUtHV3vssQfipNDbPgrEFB5mf+ht6+j2FYiJiCgLcOBOlAx6p0jx008/ISkAGzdu1LvT5OXlhepB1vQPsz/01iVqcxKIiYgoC3DgTpQ8M2bMwGjL16dMf/DBB6g0J+e+++5DKoWT2R966xKxvdmvEhFlEw7ciVJgzZo1++23H0ZeOTlt27Z19dy4119//eCDD8bMOTl169adN28e8ijkzP7QW5eIbc9+lYgom3DgTpR68+fPHzx4MAZicTjttNO++uorzEzpxewPvXWJaArsV4mIsgkH7kRESWT2h966RAzb2a8SEWUTDtyJiJLI7A+9dYkYtrNfJSLKJhy4ExElkdkfeusSMWxnv0pElE2SO3DnH//4xz/+mX8eYNjurRIiIkovHLjzj3/841+K/jzAsN1bJURElF7Y6RMRpR8M2zlwJyLKJuz0iYjSD4btHLgTEWUTdvpEROkHw3YO3ImIsgk7fSKi9INhOwfuRETZhJ0+EVH6wbCdA3ciomzCTp+IKP1g2M6BOxFRNmGnT0SUfjBs58CdiCibsNMnIko/GLZz4E5ElE3Y6RMRpR8M2zlwJyLKJuz0iYjSD4btHLgTEWUTdvpEROkHw3YO3ImIsgk7fSKi9INhOwfuRETZhJ0+EVH6wbCdA3ciomzCTp+IKP1g2M6BOxFRNmGnT0RERESUBjhwJyIiIiJKAxy4ExERERGlAQ7ciYiIiIjSAAfuRERERERpgAN3IiIiIqI0wIE7EREREVEa4MCdiIiIiCgNcOBORERERJQGOHAnIiIiIkoDHLgTEREREaUBDtyJiIiIiNIAB+5ERERERGmAA3ciIiIiojTAgTsRERERURrgwJ2IiIiIKA1w4E5ERERElAY4cCciIiIiSgMcuBMRERERpQEO3ImIiIiI0gAH7kREREREaYADdyIiIiKiNMCBOxERERFRGuDAnYiIiIgoDXDgTkRERESUBjhwJyIiIiJKAxy4ExERERGlAQ7ciYiIiIjSAAfuRERERERpgAN3IiIiIqI0wIE7EREREVEa4MCdiIiIiCgNcOBORERERJQGOHAnIiIiIkoDHLgTEREREaUBDtyJiIiIiNIAB+5ERERERGmAA3ciIiIiojTAgTsRERERURrgwJ2IiIiIKA1w4E5ERERElAY4cCciIiIiSgMcuBMRERERpQEO3ImIiIiI0gAH7kREREREaYADdyIiIiKiNMCBOxERERFRGuDAnYiIiIgoDXDgTkRERESUBjhwJyJKPzkGBERElB3Y7xMRpR8O3ImIshD7fSKi9MOBOxFRFmK/T0SUfjhwJyLKQuz3iYjSDwfuRERZiP0+EVH64cCdiCgLsd8nIko/HLgTEWUh9vtEROmHA3cioizEfp+IKP1w4E5ElIXY7xMRpR8O3ImIshD7fSKi9MOBOxFRFmK/T0SUfjhwJyLKQuz3PdFj55133omYiCgptPNBQHHbsmUL3zoiSl9J6rxeffXV3r17N2jQ4MYbb0RSRtADwDnnnIOYops+fbq0AWkAa9euRVKamzlzprwoBETJpZ0PgmAMHz5cOm3ZbaUDR1L6W7RoURLeuowxZswYaQATJ05EnM4GDhwo211eTsYcgyg7Bd55aRfpJIMelEhn+lqCGLhrzXGSngizhU/Hjh2xlg4okZ7wGvixjVJEmx8Cv2nlTshOZ4EO3LXmOGGeUMIqOlSsWBEl0gdW3WHIkCEoQZRWgu07sH9EgULpTF9IygfuwXVAWn/C5wLp7DEsW7YMRdOHHLqw9gYO3CkltPkh8I95Jkk0KJe2smHg7qX+tWvX6uwxoGg6wBpH0aNHD5QjSh+B9x3i1FNPRVIJTUeQzvSFJGfopssSiJMCi0xooZjTgKQSb775pqa3aNECSelAPmboaouaNWvqBAfulBLa/BD4R6sVztMJNB1B2kryqTK6LIE4KXSJ8koRx836sU26OKSW0FNNBOJ0oCs8ZswYxAbzhQgkEaWPAFstdouM3jH0BXLg7oTZIvX+pgYNGtj605DDSyp5N3SaA3dKCW1+CPyj1abXJ2pXOHCPQWcUc+fORZKD5GIqHUT7Tl1fpsiw6+4oGwS4B2K3SKud3C19gRy4O2G2zNr68nLmz5+PILlbn8hGmx8Cn8ycOVOrzeCr9zhwj8a8HqlBgwZIymj6YgViojQRYJPFPuFyr8A8Flu2bEFeaZqLoPSMtnt9yGduZBiQWpqe+WBeeTN27FgtrCTUdBvNjTZ0c54t6uVkdFQR8/20rbaIcRL5q6++ikIlkGE5fkeEQtGhXBwlnVq0aIGZSzz55JPIiwSFSrz55pvIcLA1A4GMRGklHLhTSmjzQ+ATc1B7xRVXICkO5plvVshzsObaZtREE1IN0X4B0FxzhNqmTRtNURGPHWUO3F31omVCFTG3lKuuqXfv3ihUAhml3zEb5wmrTigac+nRYE6LaAduEePQ44QSJXz8Lcj3ComSI5FdNE66VwjEZUHpSCJeya5ZMhHxviXmLIhL0ywrZBhZmHLQklaaHnHoplkRoYRLmDn67MiOBCUskOGguc7Rs5WWiQHlXL5SzBMFClnYDtIm56cs5ycok5dht/caiBKmzQ+Bf7RagTimGHuWcN46zDpo1gkb/eBtFrMx6ihF06dPnx5tTQYOHIiiJWIP3DUrIpRwCTNHmd1t14Q8h9i5SsvEgHIuXynmiSTGgdsJ2RbyYQN5DjE+FcRPq3L1GZUoDNztoq5Yx9Nl7hvmV7zWftZ6LSCSLDTdHGLq97LWL0vMMsKYo1SXoSkmpFpouvW7AXlFmmjSdGcPq+nCeoLd8OHDkRrp5ZQJc0aZF3mlD5bm/U9sHah5aY51u8i0pCDYtetGgxYTGop4buiLeVy+TMxTei4kRbrlpaZbX9r8+fMlRVYScQktKRAbkFT67BdXdHYO3CkltPkh8I9Wq8o8YQblSv8sJjsgUh2r5xyRS4qkWw8Wc+fO1Qk9YcN6k5NoPfCYMWN0Qmi69WtpTTHFGLhruoinF42TzisQl4a80rlIcnRNSC29XeRdkhSdlvJGJ433X7p0DYUWiEH6MZ3L1bMp3B644zn0KFlnLSmQVLoxIClR5pogJkofwbZa3TFMsZ/iEa1zwcyOHQypBiSVQKpBhstINSA15izRboMjEJfQRNvQzey2nD2gjiyF87uoMumMArGFeWhBbBExS1ME4uhQLo6SJrMrj+doYRXtxEqtTSA2IMnbS0CGm1dnpfNy4E4poc0Pga+0ZhNSI3nzzTcjDu5lHK/z2nJtA3ekGmw/nCK1BFKjpwvbt7DRBnnRBu5ue9E46YwCsQUy4s7SlGjnbVppSf1QFCedRSCOm6sDN5LiWArKxf3muIUqvFVClBKBt1rzrnmm2KcsO2E2xw6G1Jg7tnNQZfbatiOKJgrrNwcm8/ubiHPZlqKJAnFpyHPfX2C26K839sDX+g2HpgjE0aGcm7U1vynx66miWptAbEBS3C8h4k+r5kcsxC7pvBy4U0po80PgN63cChlx07n69euH2GAduCPJAhluspAaZfWQVzo32sBdE+PvReOkMwrEFpoef9ekKRE/KdloyeQM3KNBdZFegkAchXnSP+LSNEsgdk+/4xcJfINGlHK+7aWx6U5ihYw4YAbHLJoYcdikWQJxaZple6iQJgrEDppr69Y1MeLAPeIHAKG5AnHcMFukGaOlK80ViN2sA8q5WVvzQ46rw0YMZoWIDeYPnbZfVGzMr/EQO2huYg/01nk5cKeU0OaHIADWb6yVq3NFdBbblX/RBs1KswRiC3OkhbiEJgrEpZlfIiA2xB64I3DQXIE4bpjNMWMCXZOmCMTRabH0HbijUJRi5o+6iN3T2QViorSS1IaLfaUEUsuC0o7ympjwwN32A58mCsQOyC5dQFMiDtylw50eieYKlI4bZnPMaB7SsAAHzRWYwXFFFFIjQQk3a2seLN3+tBJNxIG70ESFJAdkl/XmJDb49jIvkUfa/BAESRdkQmpZtLBfA3dzV0VcQhMFYgfNtT4vIuI6JNCLxgmzRV9zLMBBc63di/Vy/GhfDCktE8KBe5yHHmSX9eagtEs6r0BMlG5S0Hax0xiQVMJ5lygrFCqhiaEduJcJpeOG2Rwzxr4DjBVmMFivH1KSgjwL5LlZW7NXlQE3ktzQeSNCCQtklLBtU4GMssRzrzQnnZcDd0oJbX4IAmbtmZ2XKtlOT7cKycDdupNGXIfEetF4YLboax6brWuK88aRmpW0gburA3c8hx5klAWl3cCcCc1LFBKpab7YdUrvPEiKDuVKaGJoB+5XWK7od3LVpSqtViAuYR5yUHUUKF2a835byCiB1OhvS0SYx+VczsshbFCuNPMeFMwIrGIAAP/0SURBVCZkGJCU0JtTJq2ZA3dKCW1+CIJnXm8qkGRAUhQhGbhb9/HYA3ftEKJBaTe0WoG4BFITWiLmLGG7kEBouqujjPmbg0wgKT46VwwoV1rsQw+SYr45CTx1G5XGfNwHUfhF7e8Chb3Hsq8idpx6LpARpeML7cBdjjSIfaLVCsQlZOkR0+Nn/QrEdsM1pLqsHPO4mcs6/kZSiWinythoGYWkRNc/TlozB+6UEtr8ECSFLlEgjrl/aXpIBu7W3jjiOnjvRaPRagXiEkj1sERzqC1sV7hqoquBu9C5BOI4YAY3B26raIceJPm6OVCj49BPlHb83DHihx3IslsijrSjIsORpYlJHrjbvo3QxIgD92h3J0iYVisQlzDPGkScKK1EIDYgyWXlmMfNlzeYIdKC4hy4Cy0mEHu7j1uZtGYO3CkltPkhSApdokBckhLxAnHNSu3APWLXEXEd/OpFnbRagbiEX12TViIQGzQlmQN3xBbIiKM2lLOUROxmTWJDdZF+nSBKO77tGK5gH3LsqDVr1kRsoVkCcQlN9H3gHvGiH+TFtw6aKBD7BJVGqhYZ3paIKkpXgiT3NWO2smY0z25E6Ujl4x+4O4++5kF67ty5SPKP1syBO6WENj8ESaFLFIhjroNmpXbgjrzSudHWQRMFYp+gUke1fnVNWolAbNCUeO74bmXeqksgqSxa2NWB2wnlLCURx70asZmfkWy/JxOlKX92DCfdTxCUZu5F1j5dUwTiEtbLnpBUQhN9H7gLjw9guvPOOzXd3w/3WqdAbIGMuB8E7bwYSKCK0vUjKco7GQNmM0S88bC8/5qroU4LDU3We9IhyeD8ZVaYrQWxQVMEYv9otRy4U0po80Pgkxh1apawdjKaYn0+tNJ0kbSBu7D1fkOGDEFG6bnKHLjH2YvGCZVGelHIiJQVP63BNnTWRIE4bpjNgKTS9PBt3v5cSwoNTdEO3Ek49NiYl075/hs4Uap43Sui0V1F9e7dW/Zz6Q2tH+gFihqQZEBS6USB1BKaGMTAXenjpq1X8WtJK013roOmK+uw9c0339RE6zmXcdIZBeLSkOe41/Lw4cM1HbFBU6x3h9AUEe329kJCPRNds8qkc1nJJyLz63NlHm+cDy0X0tUiyYBUg6ZYP2LJEEETBZIM5nFa2LZUxIF+DLLyVjqvrCTi3r0TuF6KKDHa/BD4ROtU2kNKT1XmbijMk+KsZy2LZA7clTNdU0wx1kHTRTy9aJx0RoHYwlXXJN2LLUUOqZoikFQCqSVnMcm/Eb8UjwhzlpAZpSWYS1coGuV9RlwCqQZNiefQYw64hfVm9tG+yonI+g7H4O9HNaKgld30E4Z9IgoUskCGg3k3A5QroYm+D9yt01YRv+LVrNjrEBEKuYE5o8+L7ChQyICkSFDCAhkWyIiD+etKRLaDOlIdzCwtpjQlIpSwiH23MoFyZUHpmFCUKGBBtDfz18KIbMNZYR07WvXr108nkjZwN78TsUE5izjXISIUcgNzRpk3/q7Jefssk/OJGRGrRV4cMEMUtluyINUh4oFbUyJCCQvr2N0pnm/Q5dCM0jHZWilRyLnYmRNg+/ZFIS8S201q9Wc18xO2ljFpYsT7OsXzwGTbd96aKDS0fn0rNNFJc6PdW8r63YAp4geAeJhP30AcifV7a1PEcyht36AIZESCEoYE1t/6m7WK9s30xIkTUcJgFtNQp022wsL6xYyT8yUL5MUH80TnHNkQBUSbHAJfjR07Viu3Ql4kKFFCE/VDu/PydGsZG82KuBOZnxAQl9BEYQtFx+gnNGsBBA7x96LxwPzRFyfi75qQZ4EMB9vBF6lu2A6CQj7zIK80VwduV4cegUIWUgPy4oB5YtIVJkoXiezPGQl7cEIdHBFRkrG/EvomCMRERJmO/R2g++cBgIjSAfsroW+CQExElOnY3wG6fx4AiCgdsL8S+iYIxEREmY79HaD75wGAiNIB+yuhb4JATESU6djfAbp/HgCIKB2wvxL6JgjERESZjv0d6D3CnI9eIiIKIQ5YxRVXXCFvgvN+iEREmYoDdyKi9MOBOxFRFmK/T0SUfjhwJyLKQuz3iYjSDwfuRERZiP0+EVH64cCdiCgLsd8nIko/HLgTEWUh9vtEROmHA3cioizEfp+IKP1w4E5ElIXY7xMRpR8O3ImIshD7fSKi9BO2gXvs9ZGs3r17I0hI7PoporR402QNW7RogYCIyhKKXfrGG2+M0bkYPY+n9YxdP0U0ceLE8L9pRtPglqVslMzGr8uaOXMm4ki0DAIHyeLAPflivGkxsmKLOGPExDjJjF4G7h07dvSydKK0E3hbb9CgQZk7FQfuIfTkk09Ge9OMDZLI+6kzvvrqq4gNmojApYTn1RlVmzZtkEqUPrT1IgiYLksgjiR2AcniwD35YrxpsjkWLVqEwA2tUyA2OFPiJzN6GbjrogViokwXeFuX3alixYqxdyoO3EMoxsB9ugGBG8aWLIbY4EyJX2LzyizSJs1pMWbMGA2J0oU2XQRB0v7zzTffjL04Y3WiFpAsDtyTL4g3TSpctmyZrVpjOQkuSGZMeOCuy1VIIsp0gbd13Z3k37Vr12qKEwfuIRRj4J4wqfDOO++Uf/v164ckb9vXy7wmXyohSrKktVtZio6rZGL48OGa6GSsTvH66ITQdCWhbeCuZRSSSui4UJk/0Gmo08Ia9ujRQ0MxcOBATVTa4Vht2bJFs8aOHYukss4CklyUs3zmNw0ZMgR5pV9IxHSZPueccxDs2rVo0SJbrv4r9JdAnZajp04YpYppqJBUAqnGi9IJZJQm6eYWMYvphND0iDTXVswWCk1RzqM/Mkqqsg3cNUvIlkVSJLIppYxMaGFNJMp4wbZ1c3cyJyIyB9ZaTFi7Nk1BYNAUNX/+fKQadE9WNWvW1ETbwF1zdVpGkBoqTVRz585FaokGDRpoliwUSZbEiKxHIIHUEmPGjEFGTo6sJFKjpGuo08oa6rS8ZKNU8bTtXS0uZNBQIakEUo23Ls5TZZzbbuLEiZrlJLlS3vYLjDFTqQVpirIdhgUycnJ0DQUyDJqikFQWV4WJQiJp7dZcSuwlaq7QLkunNUvItDlMNHtpDa3TQoebOmzVnlDTjVIRpvVsTJ2WA4dMm2N9rUpHjVrM/KlQRopmlnwasWbZyJpI7hVXXCHTzqGw9mbSF8m0dU2ipctE7IG7kheuY1bExgqYo1tNcU4LDeUdtn7YQF5pkm4buAtZrnng0ywnzdKNKP+aiZqurKFOW4/UmiITur2E+dL0I8qpp56qoebqtJNk6XaJXYwowwTb1mVf0t5Qv3vQRCcd/Ant0bSjjOeLFh2nSkejoZDQehaEnsNnDi410ZwWtmlbqN2uDtM1UcgrkvDNN9/UsHgeS66VljS/M7CV1KPFnXfeKdPaV8ZOlwlzWllDmZZeWP6Vjwr6DpjvqnSCEd9Mffd0WmiWzG5OC82ysWaZS5FNbMtykizzoG7dTEKnhTXUoblZUlhzdVpoKGTa/LRmy4pBill/ASBKC/G3cC+0N9Zp2yjTxlidUrkSWndz5/e7JmuKddrKTDcnIrLmWqeFTFv7bduBQyAoTdJ1dGiSFHNemZYhsk5bxUgvc+COwKAp5vhYyFvqLKOfQFydwSLpsbcIphzMLGOmCNMR19BMsU4rCa2fSawdvvUIaCMbxcySiWjFiDJPgG3d1onItI6DnXTwZ/01rXgvjLRPWqeVNcU6bWUO3KMVUNbvRSIOas3pjh076rSI0bMYM5XKsqZYp63iT7eGxXWVztVXrQNlJcN3WxkJrUdW86gmJBQISrNmRdx2Ooh3kixdH70PgJloTjvXUH8S0Wkdx+u0Kp4zUj1KQusBL6KBAwfa5iJKC0Z7D7zpyiLM4Z2Q0HZWg8lYnVi7p3WYqF+pmIyC/5S09icmLaOQFIm1gHVayLQeg5yfQJx9i9LvrRGUkBRNdPZXKlq6kPTYA3dMlZAUW6KE5tcTSlL0q4fYI2YbSfc4cBcyrUeN4vlL0q3TyvqGOHMltA7cdcLkTFGSHu37fqLMFmBbt+1LttDKHFibrMM1Y75/pq0fx4WewqjTzlyl9dvG4k76s51OW0eWQqbN0JqunCkqYkkz0ZmrYqTbsqyhTFuPB8L5rhbPHyVFfxzQRBXtSCaMmZAVcSkxDu06cNdpYZ2wTZti5FpTZMJ2QqSk2N4TJykjBxUEROmjuOk7dhbfySKkczDFWKgzy5oiE9Zhok6YbCeT6ISNpJuQVAKpFpqu40X9GGDt/7XXctJcK+tBwWQWjvZLcoxfmCXd+8DdSc8t0WktppwpJkn3ZeCuoTmh087fMK25tgOENUWmnTTLypZuC4kyW4BtXXYk6b+ki1TWsbiN5NqyrKNGmbBOS2GdVtaOTyYiDtS0fuuxwSQpNsgwsnQgaFtzo5Qd8kpzplsLO3NVjHRbljWU6TgH7k6SpefnaDEV9MDd/MQl/+qEbdokKfr9nDPXmqLTNrEH5VLA9t0VUbrQFo4gGLoIJ2SX5syypsiEdZho+07dKPhPST1hz8YsY06oGKFM6JfQShOFfgJBEFPEbtCorDhRL2/VRKto6ULSzRO4RcIDdwSlObOcKSZJ9z5wFxKaF2WZKea0cvWNe5k/kwqjjgiiHXqIMkmp/cdH1ssrrZwfxIVz8CcjZjPFmO+faRl/67SyzisTekmTjVlG/tUJZT19U1i/XJEezSgLmqhsYQzOkkZlSHTmqhjptixrKNNxDtwRlGY7j18EPXAXxbWUsKbotClGrjVFJlyNwq3zEqWdJDRgqT/iV6cRl+tMl9DsrmU69jDRes5exB9OjZmK55JBv0yYPYlMmzULoxQqNyecJCvixwMnKWk9h1BIivnBwzptFSNdIHCc3GKdVkbxUonOFJP192cVo7Ck+zVwN1lTdFpZU6zTSkLrwD3i1o/NqLJUnUQZLKi2HnFHipgodPBn7easJaNNK2uKddrKOri0lrFOC+vAXSasBwMryYrzY31x7aXXR0LzQCjTtg8hKka6QOD4NVamyxy4O79Wt5Ks+K/WMrOcS5EwzoG7Xh6gNOXUU081p5VUZaZYr0ZSxXOWpFiny+SqMFEIBd2GnVc6qmjL1XSh35jqtGYJmTZ7VJmQ0OyvjIL/lNSfRvXqfOs6GKUwbf3OxZqu85qhTltpurCFZV6qpD/6maFOCw31JTsvl4yWbv0JUWiWsE4rWwElKdZjhHXaWl6nhYY2ku7LwF0YcxdDXLpC3Vjm9+gyIaF+yWIeAsxDhh6Fx44dq6GQEFPRGXX8U0y/h3oyyjV1ROmu7F0iMbLbWG//pKL9QKmDP6H3/rOdjK5ZCEqH1mmhPYKmaI8gS5Rp6+BSy1gXpB2KDhmFUQoP/Lcyv57RXtg8nTri1UtKL3yMdlcZHZLqz6bWr7ejpWtnpH20rrmZJWS6zIG7MGYqtQ7mrQ80S98NnRaaZWPN8jJwF8UVGRCXrlw3ivVSVzNXj+hlNhVMlabFZE2skOeohCicgm6oMeqXdO0orLT8m8ZzmpS1jITWr0J0fGZCaglz/C2ije+toU4LmVE/FVjTddp5gr7Zi6oYp9WhRAmklkCqwfn1k4qYLiugoaYL67QyCtoT9ShmhQwDkow780rPJhPIKE3S/Rq461Ks6do/m2w/PuhXSEpC+dd6yDBrU9GOJlZaEkHJbzLW76GIMknUndML7ZQRlCbp2ltZmZ2L/KusN9LSFAQGTVFIKqHDaGWOmG2dl/U8HGvfLaH+K2xn0di+M9DxtEnq13Qn2ylDSC2hxxhlPWxES9c1VxLqv0qm4xm4i+KZLZBqQFJJVTKh6TZaRqedS5Ew/oG7KK4rymoIZ+eLDONg4GxpmqVirIYT8oxc6zdYROFka7fk5Hx/+I4RUbpjLxaZ9O+2r5QkxfkwICKilJAeSSCgSOT9MU9xEbZ7hRERpSP2YpFJ/279ZUDPnEFARJRq0iOxU4rNdjKMcJ7hQ0SUXtjvR6Z36bJynrJPRJQq2i8hICKi7MB+n4go/XDgTkSUhdjvExGlHw7ciYiyEPt9IqL0w4E7EVEWYr9PRJR+OHAnIspC7PeJiNIPB+5ERFmI/T4RUfrhwJ2IKAux3/ffzJkzbU94nj59OqaIysLWQvEIeuAu7TAaydWnR2vJ0JI1NJ/qH78777zTeGuLaQqChGrzTheNIDDJWYp3ixYtkq2Qkg0RJ30nBeJIoj1tXQYP8tJsD0EnsglkR5WOT9plRFogdpsOgzJ3vGh0RmELhaYkU3IOrmlxCLeSnlGaKIIwMZpJsRgdt6z8mDFjEFjMnz9f57U+KpIymG5uBAHQ+iOSXL/2ehmpnHrqqQji4Kq8rGECIzzjJf7z0nTPQpAoLwNN2/oEJDlL8UhX0mR9SKKPAt1Yb775ppZxdtSabho+fDgyiEoLZEdFu4vELKATHrmtJ/7yxevqfiWdc0no8Vl9LVq0MD/wuMWBu1PxFjIg9pWXaseOHRt79mXLlhkrXgxJJZBqgQzKXMnc0M4F+bXXS//mqh5X5aVkYgN36wd7+RTt/ZVKDQl/opZ5va9AmZKzFI+kD8RUkCvspdrYa6W5MiSQf23tQbMQlDz0FwFRaYG3DGl80sUjKOFXi3RbT/zlpaTbyoVzrgQqsXHWGT8O3G0GDhxovJ3FkOQrL9XGHpEYq1z8+F6dQKrhiiuusKbI8UBC6xGOMpLREAJpxk7OBVn3ej15JiLJsp03aBOj2UecN1r54jN4HKshJWMP3GUW5xcrMpf1mCU1RFtitJcWcU0iDtyLVzrKu2emy7wRV8AmWj0inqyIS5HciPPKmxYx3Sba7MqZFaOwU5nfdAhj+S7qVGVWqyLWbLyLUWeXvlonpIxz4G77il1SnGMnIhFXA/UiYuMzW/aNN94ou59O2xhn1pTxTbNZj020eSOWlxVwFpaS0SoX0m1FXIRzroiVRJxX6VlGCAzOOlXE1VZSiX5jFOeQOlo90rNI1ptvvom4tNhLibZ6cqiT9Llz5yKOQspEnF1Jlm1gKinxdNC6nsVvaFlvi7xqqVMGyojjU2a1Itq7GnvgPmTIEJ0w1r1UsXhSKPMkcys7F6R7vX5oNCHPgKQSSC0NeSWQ6kg3jyCIS0RMrFixoqYLCSMO3MeMGaOFTZouHRpiQ8eOHTFVQoshKKGJCkklJEX2XAQltKR+pWqynh1n/X7BhLzSJF0/qJusHYstSyDDEHspMVYPSYZoJ/Uhu4S1I5VQv3JWZqKVJsYWu2SbNm20gAkZxsHCGgoJpfvVCauIjSfGu4q4BFIjkVypB4HBWd6oI1YllLUCbxbS8iIO3G2tHxkGJJXo168fMiyQV8L8qIrYImK6lkdgoYWFLbTSLJM5XkQcRcQy1pdmO0hIryqJCEpoSVl5xCU0XciAGEkGPT4hrzQtYIM8A5JKWL8MiL2UGKuHuARSS0NeCdthWP9VZqKV8/szkxawTkSk3boVMgzOUFNOPfVUnTZpARvklYjWbjUxImcBCW1nvTvLUOZJ5lZ2LkgH7tZ0mTZHjc4sa2jl/LxqK2wr4CyvXx8oHYwiMKqKNnDHlEGK2foZ6zHL9o27TEcLbT3hsmXLzMGZpFsHajNnzrSW1B4VgVFYx5HCHPdraKNZtg82Oi1kWg4rCCLlRltKjNWL9vuDjfW3iOJ6Sy/XGgpbii2MSMtE6+11haOtQ4yBu7Ll2khu7HfVGkYjZaztQT/JIChh1FR2VZSFAm8W0vIiDtytLdIa2vo+W49mY8sqrsWSIvuthK+++ipiR3nrYFRYc4srir5ck62YLRTWMPZLk2lJQWB8YaATkm4tJpyh+RqNsqXqtIZWmmUe1ZwHPGuoHyoQlLUU67SQ0Lp6OhGDtTuLuFZyUEEcadHW0MbMKrOY9OwIIi0CU4bYuTa2wrZ31Tkiicioo1QxCa3viXCWocyTzK3sXJAO3BEYjNVBikxMnDhRp5WZZeNs9s6SkqJfZIgydxNrrkxHHLjbSDHbXLEH7tFemkyY0zaSbu3ZnCUl1G7HeUq9UTZqtdYXWOYI20yJvRTrtJJQV69fv362rDLpVzkILFWZbBU61800ffp0yTIh1cGZa303vAzcY7+rQqadBZykjLU96OtCUMKoqeyqKAsF3iyk5UUcuGPKYLRPpFinlYS2L0hMZZYsrstSxjrtJLnRvrqIJvZ4V5SZqytcsWJFW5bJmOmfrAYNGthKWgvYspwHV5Mxk70eTDnqEZJiPT9PJ5R1KTFWL+KXCmWyziLT1i/GhKTYzpmJtghJN3/fkOloxZyXBNlW25ZbXFH0XBtnrqSY76qXgTumSjjLUOZJ5lZ2LsjZtxirgxSdttEsG1uz15NVEJQw5kZitN1ER1QKScaM1nGtjQ7gTEg15rIes2xjNaOsnZkVbXGS5Ry42+i8Oq3FlDPFJOm2JZoljZnsc0mK/kTszLWm6LSNuSANpavXMJo3S26fopBqzI4pw6uvvqoFbJAdXeyDpm315M03C3sZuEuWM1dSbD+863QMUsbaHqyrZzJqKrsqykKBNwtpedZOUNmao9E+kaLTNjFOpMOUwRYKY+5/Ep0FdFhmMldVQ5120q8ETEiNNJcz10Zfmk5rMRtbloZOkuW8WMd5cDUZM5XKMsOIX3gYxYsTYy/FKBWBLVfDaGxdOVKN2W0tQQvYIM/Cts7RiomIWZJifjyw5RrFS9WMKYfY76rwMnC3HgOEswxlnmRuZeeCnH2LsTpIsWXFYGv2zkGVKK63JNG5m2iuzCiDJ2HNlemII2ktJuRVmNPIM+YyDwRCarDlYspBsqzjPyvJsg3cradbWEmWQGBwppgkPaCBe7TVUxMnTtTytt/6TJqrG8XW9VmnRYyDVJmKlxFpXkm0bQjpwM2SIRy4C+dckhLQ/S4p3ZXdwjySxmftBJWtjUpopshExJPaIzLnUrZQFNdrSbQV0FzrecbmqmqWTttolu6ozi7JGgpbbrSXZswXa3EIYpZ09oAx+kSjmlJZZhh7iBl7KUYp+7w2Wsb23blJc639oE4ImXYO3DEVU3GNkdh+8haajqCENcWWaxSPmmsV6MBdDkUIDM4ylHmSuZWdC3L2A8bqIEUmzF04Nluz1/MbEZSQFHPHt5W3nY0trKFMRxy4S7qtmC2UV4cg0sA92ksrrqX0ypgk3XaBZrSSPXr0sGXFKCzpbgfuOhF7KdbpGKIVs6XbBsrWaeVMiVPxYuJYAWH9bTxi0/U4cMdUlAJOUsY5cLderSEkxXqaPpGp7BbmkTQ+ayeobC1bQjPFOl0mW0kJXZ0q4wzNVS2eLdJq2NLdDtxtuab4s2L8PihsWc4eylRcaeksM4z2s531zdEJZV1K7NUzOQ+3ynYZgLCGMu0cuMdz4xcpFpHz6yJNR2Dw61SZMt9VLwN3Z4p5jQRlKud2D45zQc6+xVgdpFinY3OeM22bVy/7RuAob1sNW65MBzFwt4ZWzhMFrVfrWr+1sZ1jaSNZ5grIhwQJoxWW9GgDdyHT1u8mimspnRttKbFXzxTtXuNGTaUWZAsxVUJSon2PY2X72kt75rGR7kpnu3xISGhNkWnzR1R9FXEO3IXkxn5XrWE0UsY5cLfOaAvl/XHeiIyyVtktzCNpfNZOUFlbpDCaKFLi7DKUraRRzT8pzgtbnaHs/DqtJ+SZqyrTQqetbOmxQ2ENY7w07YOse6ZZUibMaSVh7B8oddo8C0hDG2eWNbTl2jpoa65zKTIdcfWsidGuObZ9N2P7GCDTzoG7tUCcYs8lWdaPf7bCMm0eY8x74WkoZNq2hla2wrZ3NeGBu+0oZfswKWvL31szktEQym4wvnAuSLpKW6KxOv+kaGiFDAdklxSwnRstbEMWpJaUR2Ch6UKmIw7cdR8x2b5+lmnrMcs2cBfF85SGDEeW9RQ7kzNFabpAXMJ5aodJ0mMM3LWHsUKGAUklnN+L20RMt40+Tcg2OD9NYaqEfqlhgzwL7SFtkOeAbAtkGJBkYRu4q4hff8TzriJw0Fwb5DlyzcGJ0BQElPUCbwrS2lwN3IWGVshwQLZltIS4hO0zOlJLyiOwKHPgLjRL6dnYyIg0lzO0QYYjy1xz630GNUUHalbmT7fa+ZokRf91MguYrKEOrK2snUjspURbPf06ymTtKK2QbShz4C6MgqUgI7rYxZyHB2QYbLkRv41TSLKI/a5qzQgctLwN8hy51m+hNAUBZZBkbtmIJ4fYEiW0/bIvAzLZQaQrs7bziIYPHy69CgKDhDKv7eQBk6289Nvm+NW6VhFX2yQrZl4aLvumTgjnXM6UGC9Nqoq45lKJuZImSRHO+mXEL+nmN7vRXkg8qyp9plRlfYGmMpdSvHKO1dMXaNteTroFddpag3MpSjdimdXKGyvF5LCIOCYpKRCUpovTzSevyLYdZSkDS25kFFG0d3XmzJnRPszEQ7puqdb5JjjP6qRsFt4jurTdMvdhIb2AebdBk8wYrXdwlo9nKTYyi/PTSPyKX1iUhUp6xDV3lpdikhixO45WiVvSB0lV0c5Fib2UaKsXz7rpvAjiI+W9bBGn2OsgWdHOPpReO/bKx35XvZBqy3xvKWMkc+BOREQhwX6fiCj9cOBORJSF2O8TEaUfDtyJiLIQ+30iovTDgTsRURZiv09ElH44cCciykLs94mI0g8H7kREWYj9PhFR+uHAnYgoC7HfJyJKPxy4ExFlIfb7RETphwN3IqIsxH6fiCj9cOBORJSF2O8TEaUfDtyJiLIQ+30iovTDgTsRURZiv09ElH44cCciykLs94mI0g8H7kREWYj9PhFR+uHAnYgoC7HfJyJKPxy4ExFlIfb7RETphwN3IqIsxH6fiCj9cOBORJSF2O8TEaUfDtyJiLIQ+30iovTDgTsRURZiv09ElH44cCciykLs94mI0g8H7kREWYj9PhFR+uHAnYgoC7Hfz1irVq1atGjRJ5988qlhwYIFEiKPiNIcB+5ERFmI/X7mKCwsfOSRR+rXr5+fn68H9Yhyc3OrVat24YUXrl69GnMSUbrR3RkBERFlB/b7meDaa6/Vo7jVHnvs0bdv38suu+xSw+mnn96rVy/kWUiZP/74AxURUZrQ/RcBERFlB/b7aWzlypVdu3bV47do1KjR1VdfvX37dmTHNHHixI4dO2JOwyeffII8Igo93W0REBFRdmC/n67at2+vR25x0003bdy4ERkuff755xUrVtR6ZGLp0qXIIKIQ030WARERZQf2++nngQce0GO2eOihh5DqzaJFi5o3b6517rfffkglorDSvRUBERFlB/b7aWb33XfXA/a//vUvJPnniy++yM3N1fpXrFiBVCIKH91PERARUXZgv59O9FAt1q5di6QAHHroobqUl19+GUlEFDK6kyIgIqLswH4/PaxYsUKP07169UJSkF544QVd3C233IIkIgoT3UMR+E5q5h//wvZHRBy4p4Xly5frQfqCCy5AUvD+/PNPXeill16KJCIKDd09EfjOOlriH/9C8kdEHLinBT1Cjx49GnGyrFu3Thc9duxYJBFROOi+icB31tES//gXkj8i4sA9/PTwnMzv2q1WrVqlKzB37lwkEVEI6I6JwHccKlF4sDUSWXBPCDW9h8xBBx2EOBW+//57HSIUFRUhiYhSTfdKBL7jUInCg62RyIJ7QniNGzcu2GNz3M4//3xZjcqVKyMmolQLtnPgUInCg62RyIJ7QnjpgTnQOz/Gr1KlSrIyjz/+OGIiSintHxD4jkMlCg+2RiIL7gkh1alTJzkqn3322YhTzbwfJWIiSqlg90cOldLZhg0bpk6detxxx+Xn52s7capdu/bpp5/+1ltvbdmyBbOFFlsjkQX3hDBav3699q2Iw+GQQw6RVRo8eDBiIkqdYLsIDpXSUFFR0bHHHluhQgVtG/GrWLFiEI/i9g1bI5EF94Qw6tGjh3SmDz74IOLQ0F6eV6kSpZzujAh8x6FSWnn99de1Pahy5cqdeeaZ77333vbt21HCYdOmTf/73/9OPvlkzGPIy8t76623UCI82BqJLLgnhJH2oQgSMnbs2L322qtWrVpST0FBQdOmTc844wzkeXDcccdJhePGjUNMRClidBIcuGe7Dz74QIbp2hgqV658xx13bNu2DXlxKywsHDFiRMWKFbWe/Pz8L774AnlhwNZIZME9IXRGjhwpXedtt92G2KXTTz9dO9+IxowZg3IJ2bJli9aDmIhSJNg9kUOl0Nu6dWvDhg21GVStWnXGjBnI8EDG63ofAtG6dWukphxbI5EF94TQyc3NlU5zw4YNiN1o1aqV9rmifPny1atXr1atWl5eHpIML774IkonRGvbtGkTYiJKBd2dEfiOQ6Vwe/LJJ7UBVKxY8ZdffkGqT+bMmWMeNaZOnYrUFGJrJLLgnhA60lfWq1cPgUva1TZt2vTHH39EkuGll17SLIXUhLz66qtSw4UXXoiYiFLB+74cC4dKIda+fXvd+qNHj0ZSAP7973/rUg455BAkpQpbI5EF94Rwuf/++6WjvOKKKxC7dPjhh3/77bcISrv++uu1FxYLFy5EqnsbN26UGmrWrImYiFJB92UEvuNQKayqVKmim3758uVICsy8efN0WU2aNEFSSrA1EllwTwiXpk2bSi9ZWFiI2FfaBYuJEyciKSFayc6dOxETUdLpbojAdxwqhVL58uVlo1esWBFx8KSf1/tLVqpUCUnJx9ZIZME9IVy0i0Tgt+LjvOHNN99EUkI6duwolWzcuBExESWd7ssIfMehUvjo0WHPPfdEnESNGzeWRVevXh1xkrE1EllwTwgX41gc+MA9sStfTUOGDJFKpk+fjpiIkk73ZQS+41ApZPRmL02bNkWcdHqKTmpWgK2RyIJ7Qoj89ddf0jMGdBOuyy67rPg4b0BSoqZNmyaV8PpUohTyZV+OikOlMDn++ONlWyfzDJmI9I5nl1xyCeKkYWsksuCeECILFy6UbvHoo49G7J+ZM2cWH+QNkydPRmqiVq9eLfUcdNBBiIko6XR3RuA7DpVC4/3339dtvWPHDiSlSFFRka7JV199haTkYGsksuCeECLffPON9InnnHMO4kRt27Zts0FG2HPnzm3SpIn2tmLUqFEo5I1U1bBhQwRElHS6RyPwHYdKoaEbWo4OiFNKf27Ny8tDnBxsjUQW3BNC5NNPP5U+8d///jfiRBn9vN1pp532+++/o4RnUmGNGjUQEFHS6X6NwHccKoXDoYceKlu5X79+iEOgTZs2skpnnnkm4iRgaySy4J4QIl9++aV0iEOHDkWcqOLjeRTy2QCFvJGqeCt3ohTSPRqB7zhUCoHCwkLdykVFRUgKAfOEmS1btiApaGyNRBbcE0JkwYIF0huedNJJiBO1cuXKZYZJkyZNmDChXbt22s+qHj16oFyiNm3aJPV07NgRMRElne7OCHzHoVIINGvWTDbxuHHjEIfGrbfeKisWxOVYkbE1EllwTwiRpUuXSm/Yq1cvxL666667io/zBo+fDb7++mupZMCAAYiJKOl0X0bgOw6VUm3t2rVeNvHOnTvlgBLDn3/+iaIJ0XVL0k8BbI1EFtwTwkW6wtzcXAR+GzNmjPa2AkkJ0a9bnnjiCcRElHTed+RYOFRKtZNPPlm27+jRoxG7pM0jtnPPPRel3dP7CyfppsBsjUQW3BPCRW+UiyAARnddzMvPrwcddJDUsHr1asTZau7cuXL0atOmTe3atWvUqJFXolatWnXr1t17771Hjhy5aNEilCbyle7ICHzHoVKqedy+Ontsxx57LEonRGqoUKECgkCxNRJZcE8Ilzp16khviCAARnddzMtDNOrVqyc1FBYWIs4mW7duHTp0qL6H8ZPD26233ooqiPygTQuB7zhUSqkPP/xQNq6XW+5q8xBdunTpHEmnTp08fq1Qv359qf/bb79FHBy2RiIL7gnhct5550lX+MorryD2m9GTF3vwwQeR5JLeUiC483lCa/r06frWqSpVqvTs2fP555+P9lSUbdu2TZgwYe+995ZRO+bJycnPz//pp59QgsgDbVEIfMehUkodcsghsnHnzp2L2D1tHgJxAB599FGp/4orrkAcHLZGIgvuCeGyZs0a6Qpbt26N2G9GT15s1apVSHLpl19+kdmPPPLINm3a3HvvvUjNaHp8Mj311FNuH2G4du3akSNHYn5j0D9z5kzkESVE2xIC33GolFIFBQWycb3cb1Gbh0AcAFk9qT8vCQ9jYmsksuCeEDoJ97bffPPNRRddhCCSww47TCsXSHKvbdu2MrtemWTq37//m2++iRIZ5I8//tCrDoR8UPF+Wv+CBQsaNWqkFTZv3nznzp3IIHJJWxEC3+k4Kbj6Kbq///5btmylSpUQJ0Sbh0AcjKAvygK2RiIL7gmhc+SRR0pX+NFHHyGO24033mh01MV3WJch5vbt25FhfJFvjhfFc889hwz3tIbDDz9cJ2wKCgrOPvvsFStWoHQ6u/baa/VFVa1aVQ6lSPXDokWL8vPztfLXX38dqURuaPtB4DsOlVLnt99+ky3bpUsXxAnR5iEQB0PPA0QQHLZGIgvuCaGzePFi6QqrVKmCOG5TpkwxOuoynHXWWZjBvbFjx0oNRx999LZt21555ZXOnTtrnRG1atVq5MiRoXrmX/z00Sdi8uTJSPLbbbfdpos45JBDkEQUN208CHzHoVLqaE8+ZMgQxAnR5iEQB6Nfv36yiPfffx9xQNgaiSy4J4SRdrgygkcct9GjR+u80bzzzjsomhCtxHZ+/M6dO6+66ipzpBuRDPFl0TLcxzwhtn37dl3natWqISkwy5cv12XVq1cPSUTx0ZaDwHccKqXO+eefL1t26tSpiBOizUMgDsZjjz0mixgxYgTigLA1EllwTwijL774QnrDPfbYA7FLf/3117hx4w466KAqVark5+fvt99+I0eOXLp0KbIT9eqrr8paNWnSBHEkS5YsOfXUU/Py8oqPGJFUqlSpT58+v//+O2YIma1bt+p6tmvXDknBq169uiyxoKAAMVEctKEi8B2HSqmjZ0t+9913iBOizUNcddVVPXv2bN269bHHHnvKKad89tlnKOGHmTNnyiJOO+00xAFhaySy4J4QUnpXARnBIw4BvQ4p/rO9J0+ebL0c1qlOnTrXXnvt8uXLMUMI6IrJZw/EybL33nvLcqtWrYqYqCzaVhH4jkOl1Nlrr71ky3q8FF6bRzSdOnXy5STGJUuWSG0HHngg4oCwNRJZcE8IKT3TPRl32orPiSeeKOvTr18/xC6NHj26ZcuWxUeMKOrVq/faa6+tW7cOM6SCrslRRx2FOLn0sVaNGjVCTBSTNlcEvuNQKXX0MXybN29GnBBtHrF5f67z0qVLpZ6uXbsiDghbI5EF94Tw6tGjh/SJhx9+OOLU+frrr41+3ofW8ssvv1x11VVaW0TlypWTw8Ds2bMxQ7J06NBBlp7MM2Sc9GeW2Pf0JFLG7sKBewbSi/4TuMbJxvbraGFh4VtvvaWPOzVZbz6WgF9//VUq6dOnD+KAsDUSWXBPCDXtW1988UXEKaKr4ft5O+++++7xxx+vlUcjo/zvv/8eMwTm/vvvl2VVqFABceroq/byxETKEtpUEPiOQ6XUGThwoGxZf09Gtxo1apQ2HnHSSSchNSEff/yxVHLeeechDghbI5EF94RQW7t2rXavf/zxB5KSrmLFirICJ554IuIA7Ny5c8KECU2aNNEXG1GlSpXGjx8vbwjm8Y95G5kw3PTm888/15VBTBRFsO2EQ6XUGTFihGzZxx57DHEAatSooe3H49mY+hngrrvuQhwQtkYiC+4JYTdp0iTtYTdt2oSkJGrQoIEsumXLloiDt3jx4rvvvltfcjT777//lClTMINnLVq0kDrvuOMOxKnWrl07WZ8zzzwTMVEkxq7AgXsGmjFjhmzZAQMGIA7A888/r+1HICkhHTt2lBp++OEHxAFhaySy4J4QduXLl9fuVST5iaQ6ak/hbQq//vrrk046yfoOOF144YVffvklZnBPL64Kz0XASl/ali1bEBM5aCNB4DsOlVJHO6U2bdogDsDcuXO1/QgkJUQ7ZwTBYWsksuCeEF7m03ms5s+fj+wgFRUV6RkyYTjtW2zduvXDDz/cc889Y9whvnr16jfeeKPb3yXq1q0r84btnPJbb71V1uqEE05ATORgtPrAOnAOlVJnx44dwW7cXbtmz56tixBISoj3GuKiTTEJCyJKB9wTQurpp5/WPlE98cQTDz/8sE4HfdeRefPm6YJiP2spVdasWXP//ffb7o1g061bt0cffRQzRKffbFWqVAmxSy+88MKYmBYuXIii7ukLQUDkEGwL4VAppfSOkH/99Rdiv11yySXafrz82LhgwQKpIRlPfWZrJLLgnhBGp5xyivaqynzO6Jdffqkp+fn5AT236PTTT9dFeLzbQHKsWrXq1FNPrVmzpq5zRAMGDIh2c8n99ttPCrzxxhuI3Xj88ce1/thQ2r3/+7//k9lvvvlmxESleWxgZeBQKaXOPvts2bhPPfUUYr9p4xGHHnookty75pprpIZHHnkEcXDYGoksuCeEzm677aZdqihfvvyOHTuQYdi2bZuM2jW3b9++SPXD5MmTtVoxY8YMpKYJeVu+/vrrgw46CC8gktq1a19wwQXWextrOgKXhg8frrPHhtLubdy4UWaXBoCYqDSPDawMOk4Krn6Kac2aNQlvXzlkvPDCCwgi2WeffbRy4eVCGq1BVhVxcNgaiSy4J4TIhg0btCtUXbp0QYaD9ete7zdqfOyxx1CX3x8GUmXs2LH6QKVo9tprr0GDBsnEYYcdhnlc0lu2icaNG0+MwuPNFvR0INsnNyKlzQ+B7zhUSjXdvubPrfH76quvdN4jjjjCNqoeN26c+b2P+Pe//40M9/RoVaNGDcSBYmsksuCeEBazZs3SzlTdcMMNyIjujDPOQGnDtGnTXF2auWDBgk6dOmHmnJwWLVp4fMh2CO3cufPiiy/WK1Ajevvtt1HUJXPg3rZtWyT57ZZbbpH6//Of/yAmstDmh8B3HCql1Msvv6zbN4Fb8X777bc6b2xy+MAMCWnWrJlUkqSHA7I1EllwTwiFSy+9VDtT5eomJw8++CBmM+Tl5e27775XXHHF9OnTUaLEDz/8MHr06F69etWrVw+lDX369Fm1ahUKZS55V0888US85hIJP9EpCQN3fTKUfOpATGShzQ+B7zhUSpHvv/9e7+hlWrlyJfLiNnjw4Bg34KpcuXICX+RbrVu3TqtCHDS2RiIL7gmp16VLF+0EVWKnRqxfv/7888+vWrUqaonD4YcfPm3aNMyfZZ566il9ExC7l4SBu5D6w3aPeQoJbX4IfMehUtItX768YcOGulmtEj4ZcsWKFePGjRs0aFCfPn369u0rB4jnnntu69atyPage/fusmLDhw9HHDS2RiIL7gmptH37duv3Is2aNUOGB0VFRZs3b37rrbfOPPPMXr16NWjQoFatWvKvOOaYYx5++OE1a9aE4dn+qVVYWChvePv27RG7l7SBu5BtipiohLYNBL7jUCmJ1q9fv8cee+gGNcloW7J0OhkXgMbNfMAI4iRgaySy4J6QMj/99JN2f+r8889HBgXv1Vdflff8iiuuQOxecgbuBxxwgCxi0aJFiIlKaPND4DsOlZKlX79+uilNnTp1Mm/2cvfdd0tKkq4BjU+FChVklSZPnow4CdgaiSy4J6TGuHHjjC4aJk2ahAxKCr2Z4zvvvIPYPXPg3q5dOyQF4Morr5RFpN3dOSkJtPkh8B2HSsEz+xBTy5YtrferVbm5uZJ1+eWXI04pvcF8rVq1ECcHWyORBfeEFNh///2NXhrWr1+PDEqWk08+Wd75efPmIXbPPOjm5eXpkVXIRMWKFTt06LB06VKU80a/b3vrrbcQE5XQJofAdxwqBek///mPbj6raA9a3rRpkxb47rvvkJQi06dP1zVJ9smWbI1EFtwTkq1WrVra94nKlSsjlZJLL65K+JYy4rbbbtONGE2dOnVQ1AO9Yf/TTz+NmKiENjMEvuNQKRhTpkzRDWf10ksvITuK1157TUum8FueP//8U9fhyy+/RFLSZEdrlE9ut9xyS8eOHfV9jqhmzZr9+vWTI8L27dsxG0XyxhtvnHbaaY0aNcIbF8kee+wxdOjQaA9WDzP2y8mzatUqtBdD7969kUFJ16tXL9kEXm6CuWHDhj333LNt27aHHHLIpZdeOmTIEPkwYLvPpkDpRI0dO1YqefnllxETlfClgUWVHUOlZPrtt99s93kU8T+l4cILL9RZUnKpul7NL6655hokJVNGt8ZFixa1bNlS315Tbm5uQUFB9RJVq1bVSwusypUrN2jQIDkSoaKst3Xr1nvuuUfeN7xBJfLz8ytXroy3snp12Q3Lly+PvBJVqlR59913UVHosV9OkkmTJqGBGB5++GFkUCromZpeTpWJZtu2bQcffLBuZdG1a1dkJESfweTlXHzKVNrAEPguo4dKSSZDq9133123lymBp5bq1w3CvHQ1OdavX6/LPeWUU5CUZBnaGq+77jp9Y1Xjxo1Hjx49f/58ZEcibemTTz4xP8UpGYy+9957KJGVVq5cabut9tFHH/3aa68tX74cJSJZvHjxU0891a1bN8xjGDhwILJDjP1yMth2syDGi+TKyJEjZUNMnToVsd+sj6T18g3Z0KFDpYZZs2YhJiqhrQuB7zJ0qJRkf//9d4cOHXRLmQ488EBku2d2LEm709RXX32lSzzmmGOQlHwZ1xqtQ/ZWrVolPOy+9tprq1Wrhopycr755htkZA0Zsufn5+P1exh2//7779aTlHr06BHmuzCzXw5c/fr10RZycgoKCpBKKfXBBx/I5jj33HMR++2vv/7SLS5cPQfXpn379lLDsmXLEBOV0NaFwHcZN1RKPhnp6jYy7bHHHl6uq1HnnHOO1nb11VcjKTBnnnmmLksGiEhKiQxqjeYHIbHffvv58sxya51t2rRBahaw7mJ+XQn2f//3f6gxJ+eee+5BasiwXw6Web8RseeeeyKVUm379u2yRQK9k6NudCEfEpDkntaAgMgi2LaRQUOl5HNeud6oUSMfH6L0/PPPa7VVq1b1ZeTn9Ntvv+kiROrvapUprfGkk07St7R169ZI8s8777yjlYvp06cjNUOtWLECLzUn5+abb0aqf8ynK9StWxdJYcJ+OShz5szRDa+8POuHfFdUVCQbpVKlSogDoNtdfPzxx0hyT2YvV64cAiILbV0IfJcpQ6Uke+qpp3S7mHJzc4O4jePGjRvNb4X8PYlF+sYePXpozdL5FBYWIiOFMqI1VqlSRd/VQG9jctppp+lS5EMCkjLOE088oa+xadOmwd2ZdOXKlboU8eeffyI1HNgvB+L666/HBjfwHOUQ0sPe1q1bEftNN7346aefkOTS6tWrZfZGjRohJrLQ1oXAdxkxVEom6/edpmeffRbZwbjzzjuxJJ+uHLWee/DQQw8hNeXSvDWaV/cm58FV5u32O3fujKQMctVVV+mru+OOO5AUpEMPPVQX9+GHHyIpBNgv+892dbOPv5CSj0499VTZOnPmzEHsK9nJdesLJLmn1zTzqboUkcfWVYY0Hyol0/Lly513l7vxxhuRHbCioqIjjjgCSzXufDd58mTn41dj2Lhx4xNPPGG9wu+EE05AXkikc2tctmyZvqs9evRAUvCkVeTl5clCa9asiaSMMHDgQH0zlyxZgqTg6WMQhewmSEo19ss+0w2sGjdujFQKn1mzZsk2atasGWJfaQMQbdu2RZJ7+tPqjh07EBNZaAND4Lt0Hiolzc6dO9u1a6cbwnTRRRchO7msF9Wpgw8++Oqrr37vvfdsp7usW7du6tSpl156qe0Z3uLWW29FoVBJ29a4bds2fWMHDx6MpCTSO5o3adIEcZq7+OKL9c1cuXIlkpLFfALaRx99hKSUYr/sm99//103rcrgM8wyhm4pBG506tRJ+sSnnnoKscXixYv1qw6FVPf0BLvddtsNMVFpHhtYGXScFFz9NsuX73r66V39+/+zXMdf0T77yOB0V8y7XCeNfJzu3bu3bgJTz549kZ060m/06dPHPJ06HjVr1jzyyCM3b96MKkLIbAbpRt/h0047DXHS6Q8pYWiZHo0bN07fzI0bNyIpuSZOnKgr8NtvvyEpddJvTwinxx57TDeq4jPq08IZZ5whG+v+++9HHLfWrVvrhladO3fu2LHjHnvsgbjE999/jxnck65WapB2hZioNG1jCHyXnKHS2rW7unb9Z1nx/7VoUTRtGipJOj3Lzqp+/frJ/xYwtq1bt/7www9PPfXUcccdt++++2JFDe3btz/llFOeffZZKZAeT843t3ta2W233eTd3m+//RCngt4/TSRwmAuPX3/9VV/FH3/8gaRUuOOOO3Q1EKcOB+4+OPbYY3VzqrD14BSNebd1xHGbMmWKzhiNdNlejoh60xuBmMgh2BYiNetfQB5//J9FyF/dursGD9716afIjeiXX4ruvHPXvvuWmvGMM5CbFPfee6++7aaaNWuG4Ru4MmF1c3Jcnf4eFubmTh9DhgyRd7ty5cqIU2fNmjW66dN3ZKLr/+STTyJOnc6dO8uaNGzYEHGKcGTgVb169bRViby8PBlyIYPSwV577SUb7vXXX0fsxieffHLCCSfopjdddNFF3h9qqD8F8BaiFIO2NwS+C26oNGaMfCpF5QUFu158cdfOnciK3++/F+2++z8r2aWLfNhFVjDeeOMN6ylwoly5coHe189fWGkO3JNiy5Yt+m4Hd7NCV/TBAml6Z2G928c+++yDONX0fnQvSseVOhy4J27dunXFu2aJ7t27I4PSx4YNG2Tbya6IOBy0Re1MYEBDWUMbCQLfBTFUWry4qHx5VNup0y5fbrd1zTX/rOqYMUj0lXw+17fa6tFHH0V2msB6c+CeFHqNwfjx4xGHgN746M4770ScJhYtWmQ02xBtevNqRsSpkDZ7QthY7/cn7r33XmRQujnyyCNlC5544omIU61u3bqyPmnXw1KSGR1PYB24jpN8rH/YMFRYs+Yuvy8vK+rXTysvql7dx6/ely9f7rzK86qrrkJ2WsHac+AevLffflve54KCAsThoE8FEen1fZCu83PPPYc4HPTC9KOOOgpx0nHgnohLLrlE25P65ptvkEHpSbfjt99+izh1nn76aVkTPi2VyqSNFoHv/B0qNW+O2iZMQIrvli79Z52XL0eiB3oyq5UvTzhKFbwGDtyDp+/zwoULEYeG3u9/5MiRiEPvq6++0jcTcWjs2LFDVyxVN2vmwN01281DkErp7PPPPw/D1jS/FOH1zVQmbSoIfCc1659HcmDTeipU2BX8DUyKDjgAi0v0MYdFRUXWp4eqDHgCJV4JB+4B05/iK1WqhDhR8+bNmzx58tChQ4cMGfLAAw8sXrwYGd5oG0AQenoB4dy5cxF7s3z58nfeeWf69Om+XIh42mmnybql6of6tNmEYSCfrqxPyGvZsiUyKP2dcsopsk1TeBMA6U30qpcXXngBSUTRGZ1QuAfu5qi9USOkBK/o3nux0McfR1LcLrjgAn1XTVWqVFm2bBmy0xleDwfuAWvWrJm8yfM9PG2gV69euqVsqlWrtmDBAhRK1OGHHy5VPe5+10g+GWfLqvp1RLbeRuLll19GqjdSVaqujuPAPV4//PCDbnWVkgehUaBatGghWzZVn8e0XfXr1w8xUUzaYBD4zpehklFDUa9eCJPm9dex8tOnI6UsY8eO1ffTVKlSpS+//BLZ6Q+vigP3IOnNZMqXL4/YpenTp+s2iuGVV15B6YTI0F8qSYvn+p155pmyqjfffDPiRM2ZM8d45/4xefJk5HnTpk0bqe29995DnEQcuMdlzJgxusnV//73P2RQBunfv79uXxnBIylZdLnt2rVDTFQWbTMIfOd5qIQbyHTtijjJ5GhqrH9RWfdm/eyzz6y/o4py5cqF5MHmPsJr48A9SNdff728w2effTZil3QDidzc3KOOOurTTz9dvXr1pEmT6tSpgwzDpk2bMENCCgoKpJLCwkLEYaUvFkGi9ttvP63Hyq+Bu/QSUlvr1q0RJxEH7mXr3r27bm/1119/IYMyiD7lzlS9enVkBGzHjh16hkzz5s2RRBQHbagIfOdxqNStW/G8NWsiTIn774/9EubNm1e5cmV9G00PPPAAsjMLXh4H7kHST4AJn0Kdn58vs7/00kuILe666y5j6xVL+IOBOvnkk6WSiRMnIg6ljRs3ykpWqFABsXvmdWvqtddeq1Gjhk77NXAXWiGCJAr7npBy1tuByYZHKmUQ8wpxdfTRRzdu3Finv//+exQKhvTRuqBDDz0USUTx0ZaDwHcehkpFEybIjMVPWUq5Hj2K16ROHYQlli9fLp/M9Q00nXPOOcjORHiRHLgHSd9hBO5t3boVU5FYv3dHUkIWL14sNTRt2hRxKN18882ykl7OkzEP4kceeaSmmGM5Hwfu2o3E3nBBCPueEM369et//fXXZ599dujQob169epm6Nu375AhQ5555pnffvtNPrGhaKL+/PNP3cyqT58+yKAMYj7fQd16662aftRRR2nKGcE8U10+LbRt21YXcfvttyOVKG7aeBD4TsdJidWvM/7+O8LU0pV59lmEjl9QhXxWR17mwkvlwD0w33//vby9wZ04cccdd+gWFEhKlNQQ8jsO77PPPrKSMsZD7N7uu+9euXLlVatWIQ5m4H7TTTdJhcm/w2aaDdxlUL7vvvvqux+P/fbbb9q0aZjZjRdeeAFVGMaNG4cMyiDPP/88NrBhzpw5yDB8+umnyMjJmTRpElL9IPs56s3J+eOPP5BK5Ia2HwS+S3SoVNSmjcxVdNZZiFPul1/MF/Liiy/qm2aSo4mWynh4wRy4B2b8+PHy9o4YMQKx3+bOnatbUCApUb5UEqi8vDxZQ3/vkh7EwF2fopr8biTUG880a9YsvYDX1Lhx4/79+99+++3vvPPO8uXLlxmWLl36wQcf3HjjjUcccUTt2rVR1HDggQf++OOPqK4sZ599NmYz/Pbbb8igDHLOOedgAxvWr1+PjNIOPvhglPDjvMBRo0ahrpyc8847D6lE7mkrQuA7HSe5rV/62ATmCljR/vvLKhUdcohM65smCgoK/vzzTy2QDfCyOXAPzKBBg+TtffvttxH77YEHHtAtKJCUqJYtW0olS5YsQRw+vrxMmyAG7ps3b5YK69evjzhZQr0nCPmUWaFCBX27c3NzjzzyyA0bNiCvLEVFRTKUtz4Ar1KlSovKusmA9SJFWXR6PR+Y4tS6dWts45ycihUrIjWKVatW1apVC6Vzcjp16uTqAUnShORDo3nKnWjXrl3yz4qjDKNtCYHvdJzktv6qVWWW4nPcQ6WoCK9ly5bnnntO3rTMu2lMmbS1CA7cAyLHBXl7gxsNd+zYUbdgV893avrXv/4l9bzzzjuIQ0aaqKxeI78f/hDEwF1IhQnfADRhod4TzLFOQUGB7TQGtz744AOtSkS76Z7tIkXemy9Tyec3bGM3P3ItW7bssMMOw2yGhg0bDhgw4KGHHvr5559RqISM1EePHt2/f3/bNXDnnnvutm3bUIjIA21RCHyXwFBp8WLXsyTNqacWr9igQQizj7YWwYF7QJo2bSpvr/eL66LRzSc+/fRTJCXqhhtukHpkWCVj2RDSez3tueeeWF2fSM3G++f/wF0gSJaQ7gl6P1Qh77WPJwFbzxJ7+umnkWqYMWMGMgzXXXcdMiiDrFy5EhvYMGTIEGS4MXXq1B49eqCKOOTl5R1yyCEeP3kS2WjrQuC7BIZKPXsWl58yBaF3t9zyz2rIn+PjsTtaSbbS1iI4cA+InhoQ0E/05pWp+fn5SPLA9lyacPL9xHEO3INlftE+fvx4JPnK/FTQsWNHTbn66qs1RX3++eeaTpnk448/xgY2eH/usd7aaNSoUT179qxUqZJ03OXLl5d/W7Zs2bdv3wkTJshnzs2bN6M0ka+0GSPwnduhknk6il8KC/9ZB/3zeH5LixbFlSR0r4IMoK1FcOAeEH17EfhNKxe+nEP/5JNPoroQ69SpE1bXJxy4B6WoqEjfhdzcXH8vKLZZtWqVLqigoKBLly46rdKyX6Oy3HjjjdjABi/3mSIKA23JCHyn46T463/jjeLC/n1JViRVmeugfx4H7nPnFlfSti3CLKOtRXDgHhB9vk8QFy/pSTiiVatWSPLmnnvukdqGDx/+SShNmzZNVq+t37sqB+6BWLNmjb4FBx10EJICtscee+gSVcgfSUAJ6927N7axTz81EqWctmcEvnM5VCqSzlMK+3Xv9p9/xtI7dMCE/Hm/olTrSfTBlmlNW4vgwD0gOpxYsWIFYp9cdtlluuEEkjy79tprpbZXX30VccisX79eVs/3R4kHN3DPzc1FkCxh2RMKCwv1PR08eDCSkqJv37663ICes0MpZ71NUB3HMxSJ0pQ2aQS+cztUkkOXfytTlJeHpe/ciQn58z5wb9WquJ7lyxFmE20tggP3gBx66KHy9s6dOxexHyZMmKBbTSz3r932799fKpw5cybikNm6dausXvXq1RH7JIiB+/bt26XCypUrI06WsOwJ+oZeeumliJOoX79+sugKFSogpkyxbds2bVdKNjQyiNKftmoEvnM1VFqzprhkWbdVjdfdd+uii668sjg018T7wP2GG4qrHTYMYTbR1iI4cA/IddddJ2+v7aYXXnz++ee6ycQbb7yBVD9UrFhR6tyyZQvi8NFXjcAnQQzcN27cKBW2aNECcbKEYk/Qk8MOP/xwxEnXoUMHWYGWLVsipvT366+/Fu+jJe677z5kEGUEbdgIfOdqqPS//xWXPPNMhB4Zyy0yF62rIX/eB+5LlxbX3LAhwmyirUVw4B6Q1157Td7e0047DbE333zzjW4vMXbsWKT6RKtFEEr64JS1a9ci9kMQA/f33ntPKhw4cCDiZEn9xpOGLq9c3lPEKWJs0JxHHnkEMaWz//73v7pB1VdffYUMokyhbRuB71wNlW68sbikL8OLLl2wXHOYrqE1xQupJ+lPSwkDbS2CA/eAbNmyRd7evLw8xB4sXLhQN5a4+uqrkeofqbbMxw6mlp7D7P2O9VZBDNz1weqTJk1CnCwp3hN+++03fSsRp455aSwflZruzjzzTN2UKv5H7RKlEW3eCHznaqh0xBFSsujLLxEmqujXX7HQBg2QJMw18WvgLn/ZR1uL4MA9OLm5ufIOI0jU0qVLdUuJf/3rX0j1z7PPPis1H3PMMYhD6ZVXXpGV9PcsjCAG7gUFBVIhgiRK8Z6gDd3f87cSNmrUKFmZ5J+uRD7afffdi3dNQ/IvGSFKGm3kCHyn46T46i9q27a45NKliBNWqRIWan36gabIHwfuHmhrERy4B6d169byDn/p4ROs9RGBRx55JFJ9teeee0rlS5YsQRxW+iYg8IPvA3fz9uWIkyiVe8Jdd90lr7latWqIQ0Av2vj6668RU1opX768sR8V69q1K1KJMpG2cwS+03FSfPXvrFWruGRhIeLEPPmkLrHorLOQosw14cDdA20tggP34MyePVve4YRvQL569WrdRqJXr15I9ZU51pQJJIVVuXLlZD1XrVqF2DPfB+76VW+Sb4SoUrkn6JsYqjMZ5s+fr2uFmNLEsmXLdMOpCy64ABlEGUqbOgLfuRoqxV8yhmhLNNN9GbiXLx9hEVlAW4vgwD1Q+iYnNizWeYWMWe+8885bo0v4sd8yZpX60+IGa7qqRxxxBGKXdu7c+c4777xb4qOPPtKvZcVNN92EVANmcE9PGJGPW4iTKGV7gt6g1MevRf36BKnf2s6ZMwcxhd6HH35YvDuWmDJlCjKIMpe2dgS+czVUqlGjuKSHb9yLBgzA4qZNQ5JJ0+WP37h7oK1FcOAeKL1Fugy7EcdN7wgePy+fDX7360FpQdqxY4eurbwzSHJj4MCBOnuZRo8ejXnc0C955SMW4uRK2Z7g40n9p5xyivH+F0OSBz/88IPU07hxY8QUbtdff71uerVo0SJkEGU0bfAIfKfjpPjqxznuK1cidkuGkrqsWrWQYqVZ8seBuwfaWgQH7kHT9xmBGzpjnDCPGzNmzJAZy6fPXZUOO+wwWeFrrrkGsRsDBgww3qey/ec//8E8btSrV0/m9XI9gxep2RP0umkZuyNOlA6yrZDhjZ5chYBCrEePHrrdRX5+PlKJsoA2ewS+k5r1Lx6HHCIli77/HqFLRfXq6bKKIp7Paq4JB+4eaGsRHLgHrUuXLvI+33zzzYjjtmTJksXxWbZsGeZxQ0/ynj17NuJ0YLTZRLb7jh078GaVBTO48eOPPya8Yr5IzYIHDRokr/mJJ55AnBDdPWyQ580ZZ5whVY0aNQoxhdJuu+2mG13UivhdHVHm0paPwHdSs/7FY8SI4pKJPTPym290QUWHHYYUG3NNfLmps9STol+3U0tbi+DAPWjmnWEQh8PTTz8tq1SpUiXEaUIfbH/IIYcgDgdj8+a89NJLiJMuNW1LXzYC9/RpVaZPPvkEU/7tKlJVs2bNEFDIbN68WTe3GjBgADKIsoY2fgS+k5r1Lx5TphSXPO88hK7UrYsFNW68q2nTCH+aK39SUsImTYoSfiRNYaHUU1S7NsJsoq1FcOCeBMcff7y81c2bN0ccArr1//rrL8RpYufOnbrma9asQVKq3XDDDbI+VatWRZwKqdkT5GV7Oanf2I7Fhg4dakvR0Dt/ayMf2c6Puu+++5BBlE20/SPwnY6T4qz/jz+k5E4ZWCegWrV/lhX/X2LGj5d5i7LyllPaWgQH7smh7/ajjz6KOKXkI4SsTP/+/RGnlZdeeknfTMQpZT6pc9OmTUhKhRS8F9OnT5eX7aUNyeytWrWyPuLUeCeLIfasQ4cOUltaXHydVcaPH68bWn3++efIIMoyugsg8J2Ok+Kv31Vhq549/1lWfH9FBxyAed1q3764BvmYkX20tQgO3JNj4cKF+oan/IbXw4YNk9VI62vAevbsKS+hadOmiFPH2KQ5d911F+IUScGe8O9//1teub/37NN3UyD2TFfys88+Q0wh8K9//Uu3stq6dSsyiLKP7gUIfOd2qKR3hAzi52xzTbzfwEHr2bEDYTbR1iI4cE+ae+65R9/zHalrcs8//7yuw7Zt25CUnvRVnHjiiYhToVatWrIOYXi2Ywr2hAMPPFBevL93rTe2aTHEnk2aNElquzrhkynJb82aNdNNLAoKCsL/4DeiQOm+gMB3bodKjzwihYsOPxyhj8w18XhXmZ9/Lq6kSROEWUZbi+DAPZmOOOIIfdsRJ9esWbN06Z/6cmF3ShUWFuprufHGG5GUXPXr15elV6lSBXFKpaA9NWnSRF6/v1+XGhu0GGLP9EmcHTt2REwplZ+fr9tXdO7cGalEWUx3BwS+03FS/PXv2FFcOC8PoY/MNfE2cC866CCppCgc5xwnn7YWwYF7krVs2VLe9uQ/qeftt9/WLf7iiy8iKc2tWLFCX9HgwYORlCxNmzbVRSNOtRSsR/Xq1eX1+/uNqb6nArEfpDbeZDDlli9frltWXXTRRcggym66RyDwnY6T3NSvj2Eq+uorxH4x18TjN+4uX06G0dYiOHBPvj322EPf/KRdNWeepfPYY48hKSMsWrRIX9ehhx6KpOBVrFhRlhiqB1elYE/Izc2VdwGBT4xNWQyxH3yvkNwyvzNQ05yPQ6fs89RTTw0YMKB58+Y1a9YsV65cniE/P1/C3Xff/fTTT3/uuedQNKPpToHAd1Kz/sXvk0+Ky1eogNAv5pp8+CFSEnDttcU1hOxu0MmkrUVw4J4Sffv21ff/7rvvRlJgzK+HM+AMGaeNGzfqq5PxdNAn7s+ePVuXJQcXJIVDCvYEfSMQ+ETrFIj94HuF6eXbb7+VD+vnn3/+fvvt16hRo1qGhg0bSnjGGWeMHz9+zpw5KBqMq6++WjeBko/ayKDs89Zbb3Xq1AlNIW7777//rFmzUEXG0deIwHdSs/65YsxS9NNPCH0xePCuzp13HXbYroTvv1ZUhBVbvx4p2Udbi+DAPVUefvhh3QRyGN2yZQtSfTVlyhRdhEi7W7a70qBBA32ZwZ3yrs9+EgMHDkRSaKRgT9DfHRD4RN9fgdgPUltBQQGC7LBhw4YRI0boTyJxksKXX3752rVrUYVPunXrhgUYP1HxUtTstHXrVn2MsUmOeSNHjvw+ytP1pZ3MnDnzqquu0guJTBdddJH17rGZQV8aAt/pOMlt/QF96e5N0aBBxWvVoQPirKStRXDgnkJyhK1QoYJuiFNOOWX79u3I8GzVqlWVK1fWmrPkMjAZeOjrzcvL+9L7LacsrHed/kT6tPBJwZ5Qr149eTt8bLJC32KB2DPp3aS2vfbaC3Gme+ONN2xjnf3333/UqFGff/75n3/+uc1i6dKls2fPvu+++/TuQKa6des+ndgzzx1q166NSo2BGlIpyxxwwAFoBDk57du3nzdvHjLiJg21devWqCIn5+ijj0ZGRtAXhcB3CQ+V6tWTuYr+8x+EKbd+fYIvJLNoaxEcuKfczTffjI2Rk3PcccchNVGLFy/W5yupr3y/yCTE1q1bV6NGDX3hubm5kydPRkaiRo4cqbWJo446Cqnhk4I9QY7B8qbIO47YD/pGC8SezZgxQ2o7/fTTEWcu8z6vQpp+Aj883Xbbbda7vowdOxYZ7m3atAm1GI455hhkUDYZM2YMWkBOzsUXX4xUDy688EJUl5Pj18fLlNOXg8B3CQ+Vtm/HjBs3IiW1atUqXpnrr0eYrbS1CA7cQ8I861299NJLrn64/uWXX6RvxMzGt84PPvgg8rLMF198sdtuu+GNyMk57LDDXH3Ls23bNhnvNWzYEPPn5LRp02bz5s3IDqUU7AmnnXaavDXffPMNYj/o2y0Qe3b77bdLbRMnTkScieSzU0FBgb5vjRo18viANzketGrVSmuTcfySJUuQEbcffvhBZ1f33HMPMihr7Nixw/zBd9CgQUj1SZ8+fbTm2rVrIymd6WtB4DsPQ6Wia64pnrFiRcSpU3TuucVrkmVnPEakrUVw4B4eO3fuvP7667FhDLm5ue3atbvgggumTZtmGzvOnz//gQceOOSQQ6yPNBEyZH/nnXdQKIv9+OOP5ghE1atXr2vXrrfccsvcuXNRqMTs2bOHDRvWqVOnqlWrorShf//+/j5iKCAp2BOeeuopeYOuvfZaxH7QN10g9uyoo46S2n7y9yqrMDn//PP1HZOGu3z5cqR6tmnTJvOSdldnJjzyyCM6l8qq3/tIffnll7r1ZWBdWFiIVF+ZdwIWy5YtQ2p60leBwHfehkpFu+1WPO9++yFOiU8/9fISMoy2FsGBewgtWbLk9NNPN7+ziMdee+0lg37MTxbjxo3r3r073qb49OvXb/r06Zg/HaRgT9ixY4e8UxV8vYBJ332B2DOtbVuaPyU4mlrGk3tFQI9m+PTTT7X+OLfyCSecoOWVvw/norTwwgsv6NaXj5RICswxxxyjywrnhUdx0peAwHfeh0o6+3nnIUyyP/7QFSiaOhUp2U1bi+DAPcy2b9++atWqKVOmnHLKKT179qxSpUrFihVlQC8Thx566LBhw2bPnr1mzRqUppjWr1+/cOHCO+6446CDDpI3UBQUFMi/rVu3lpH6008/vXz58rTcHWSHwP/JpT0IAj9ohQKxZ1JV2O7c6QvpF/SNku7A3+uDneQN1GVtinkfN/O+TiI/P583kMlCemaaCPoeo6aJEyfqEtP3xFBdfwS+03GSh/qL772oNVx2GZKSZvFiLPree5GS9bS1CA7cidJdavaEtm3bSg/i40FauySB2JupU6dKVWG+pjgxf/31l75Lffv2RVLATj/9dF2ifPBFUml5eXlaQGTJTazIRs+dEz///DOSkuKzzz7T5b733ntISiu68gh858tQacUKVJLMGyF/9pkutPgukFRCW4vgwJ0o3aVmT/joo4+kBznwwAMRe6ZdkkDsTZ06daSqoL+QTjLzu/YLL7wQSUlxyy236HLXl376ydKlSzVdXXHFFcigbCKf3rUBpOSM888//1yXnrRHkftI1xyB7/waKslm1XpatEBKkIquu04XVxT88ynTi7YWwYE7UbpL2Z6gnQgClx566KFupWltArGhT58+mMGNzZs3a1WIM4W+qCSP2tW9996rSzc/C1kf8CZee+01TaesUlhYqA3g66+/RlLSSdvTdUCcPoJdbalZ/7zbunVXfj5q++47JPquqKioaVMs5YUXkEgltLUIDtyJ0l3K9oTevXtLJ3LTTTchdqNu3braB5UJM7jRv39/mTGxFQstPY/8gAMOQJx0Z511lqxAbm6uTF9zzTXF26ZEOn7ZSb4oX768NIAbbrgBcYocd9xxshppd49IY+9Jh4G7oahrV1S4995I8tFtt/2zwn4/xTkzaGsRHLgTpbuU7Qk7d+7UfgSxG0cccYQMActU4P72vUVFRQmvVWjpk4Hz8/MRp4g+4axixYrGG1xMxm28FDVrXXrppdIG6tevjziltFk+9dRTiNOBsQ8F1lPpOMnf+l95xay26KKLkOhN0bPPmnXuOvVUpJKDthbBgTtRukvlntCrVy/pR0aOHIk4BI488khZpfNSdQuzAGzZssXornPCMETWNdEfTBo3boxUyj5bt27VxoA41TZs2BCq9YlHsCus46QA6i/q18+svKhdu11//YUMVzZv3jVkyK68PNRTtequ0pfQkI22FsGBO1G6S/GeoF1JQA9bccu86QrijKDPRg3JY971ouSKFSueccYZSKKs1KRJE2kJofrQfvLJJ8sqJXZhTErI2goEvgt6qDR48D+LkL9DDimaMGFXmfcDmDFj17/+VWSeMS9/LVrs+vFH5FJ02loEB+5E6S7Fe4Lev7lp06aIUyo/P19WZtKkSYjT38svvyyvqFy5cohDoH79+rJKIfkgQSmxadMmaQMCcWjoWu3YsQNxuOnaIvBdcoZKr766q0GDf5Zl++ve3Z5i/hUUFP3736iE4qCtRXDgTpTuUr8n6Nml1157LeIUOeKII2Q1dt99d8QZweioc3799VfEIbB+/XpdK8SUfQ4++GBpAP/9738Rx2HZsmVLly5FEJ+FCxc+//zz991337Rp01auXInUmM455xxZsXT5OcjYjdJ84G6aNavo5JP/WWiUv6L99iuaPHnXunWYi+KmrUVw4E6U7kKxJ2iHMnfuXMRJ9/rrr+s6IM4In376qbyiGjVqIPaJ99vb623yn3vuOcSUZWTr5+XlISjLuHHjivdMw8cff4zUmI499ljMUFo8D0mVYrnGvY/CT18UAt+FYaiU3AdyZTZtLYIDd6J0F4o94ZNPPtE+ZV0qvkr55ZdfdOnLly9HUkZo2rSpvKhVq1Yh9mbTpk0yoNE3SvTr1w8Z7q1evVpqqFmzJmLKJv/9739l6x9zzDGIo9uxY4c0EqO5gXwWRV501mfxOrVu3RrloujevbsU++ijjxCHmL4iBL7jUCmzaGsRHLgTpbuw7An33XefdisbNmxAUlL8+OOPutx3330XSRlBH23j4y0g9WOAqWvXrshISLVq1aSStDyEkDd6T6Eyf7e5+OKLjYZWSpkD9woVKqBoTs79998vH8VlQbNnz+7QoQNSc3IGDx6M0pF89dVXUmaPPfZAHGL6chD4jkOlzKKtRXDgTpTuQrQnmIfqn5P1C6ne5EQ88sgjSMoUo0aNktd16aWXIvZGRzOiXLlyOuFx4K4XJQ8ZMgQxZYd4nt6wdu1aLaNk38RUWQP3yy67DOUi1b/ffvshLydHVgOpkWgZBCEW7HpKzfpHGUFbi+DAnSjdhWtPuOOOO7Rzue2225AUmHPPPVeXNW3aNCRlEP3q0a/7Y+j9dsSDDz6oEx4H7kIqKV++PALKDgsXLpTtfvjhhyOORJ+pLA4++GBN0VDEHribp3J9+eWXSCpNc4X0M0iKpGrVqlJm69atiMNKXwsC33GolFm0tQgO3InSXej2BL2DoWjWrBmS/CaHZD02izlz5iA1s+irQ+DNzTffrLVNmDDB/GTly8BdIKDsoE9LjX1d8tFHH12zZk3rtRnaVESMgbt+JBAxTg878cQTtUz16tWRFMndd98tZUaNGoU4rPS1IPCdjpO4h2YKbS2CA3eidBfGPWHbtm362CBxzz33INUnOnQQ1apVi/2Lefr6+eef5QWWeR1ePMxzGypXriyhjwP3Pn36SD2zZs1CTFlAn7u0adMmxPExWlyxGAN3fXyS6Nu3L5Ic/vzzTy0jkBTJ0qVLpcAhhxyCOKzKfCGecKiUWbS1iHR5TEEpbI1EFuHdE4YNG4aexqfn9dxyyy2oLoDPA6Hy/PPPy2v05SvD/fffX9+xFStWSOjjwP2JJ56Qeu6//37ElAW08SCIm84lYgzcUaKsM99QKOY6bNmyRQqE/5EOZb4QT3ScFFz9FKTVq1c/88wz+nCSaKpWrTpgwIAXXnjB7QfpFGBrJLII+57Qpk0bdDM5OYMGDXL7EBaxYMGCgQMHogo/Rpzhd9FFF8krnTlzJuJErVy50vam+ThwnzNnjtRz4oknIqYsoI0HQdx0LhHPwL2wsBBJkaBQyQfRaKSAj3dkCoi+EAS+41ApDUnjP/zww8uXL69tw5SbmyvtWdKV9ca+SnKPO+64bdu2oaKwYWskskiDPWHdunWtW7dGB2N0MXvuuefUqVOlkyoqKkIhi507d27ZsmXixInNmjWz9lD77bffxo0bUSij9ezZU16v99vSV69eXd8689dVHwfu+r1m/fr1EVMW0MaDIG46l4hn4B77RpMolJPz2WefISkSLYMgrIJdSR0nhf5NIPXqq69qe1AVKlQYOnTojBkzIh4ilRxAP/roo/PPPx/zGAoKCt58802UCA+2RiKLdNoTxo8fb71Pc5xq16798ssvo4rs0Lx5c3nhmzdvRpyQV155Rd/Am266CUm+DtyFVoWAskBiW1znEvEM3GOfwotCOTmTJ09GUiRaBkFYBbuSUrP+Ubi9/fbb2hJEtWrV7rzzzhiD9WhklptvvrlKlSpaT25u7hdffIG8MGBrJLJIyz1h8eLFgwYN2meffWrWrGl7UGL58uV32223Tp06XXXVVWvWrMEMWUYv7UWQKPP9RGzgwJ28SGyL61winoF7PPdoFw8//DCSItEyCMIq2JWUmvWPwmr79u2NGjXSZiB9/uzZs5HhwVdffWXeGWKvvfZCasqxNRJZcE/IQNrtIkjIWWedpZXYnv3OgTt5kdgW17mEj9+4x74lpZZBEFbBrqTUrH8USnpxv5Bx9sKFC5Hqky+++EIrF//73/+QmkJsjUQW3BMyUJ06daTDTfhKIxn6aJfdsGFDJJXwfeCem5uLgLKANh4EcdO5hI8D91dffRVJkUgB229NIaQvBIHvOFQKsW7duunWv/3225EUAPNRxDFusZokbI1EFtwTMlDbtm2lt127di1il5o2bar99fr165FUwseBe1FRkdRTq1YtxJQFtPEgiJvOJeIZuMf+vIpCOTkxTuHdunWrFGjUqBHisNIXgsB3HCqFVbVq1XTTL1myBEmB+frrr3VZKb47KlsjkQX3hAx0zDHHSFf7448/Inbj888/1576+OOPR5KFjwP3xYsXSz1dunRBTFlAr36L/aW4k9HiisUzcI99ZQsKxRwBrFu3TgoccMABiMOqzBfiCYdKoZSfny8bPZn3KpW9tVy5crJQfQZfarA1EllwT8hAd911l/Szse+bEU3xWMBQWFi42eHmm2/W3M6dO2/ZskVSMJt777zzjtRz7bXXIqYsoNdOvPfee4jjY7S4YvEM3J955hkkRYJCMUcAUoMUuO666xCHVZkvxBMOlcKnUqVKssWbN2+OOIl22203WXSDBg0QJxlbI5EF94QM9PHHH0sne8YZZyB2o3gs4BLmdGnEiBEy75QpUxBTFvjyyy9lo7ttmUYrKxZj4L7HHntomXbt2iHJ4bnnntMysa+s0LupLlu2DHFY6WtB4DsOlUKmZs2asrlT+OAL/blszz33RJxMbI1EFtwTMpB5dSliN3RGV2LfgC+aqlWryrwbNmxATFmgsLBQNnpBQQHi+BitrFiMgfvUqVO1TLly5ZDkIGMOLXPxxRcjKRK9wyyCENPXgsB3Ok5Kh/chGwwaNCjYzR0fXYebb74ZcdKwNabUyy+/fNZZZ3Xp0qVZs2bSe1cwVK9evUmTJt26dRs6dCi/gEsy7gmZSXtYBG7ccsstw6Pr3bu31tywYcMRI0ZIyujRozGnS1IJbymThSpWrCibHkF8jBZXLMbAXT4BolBOzjvvvINUi2XLliE75nXbf/75pxRI5em8cdPXgsB3Ok4Krn6K2+zZs3Vbb9myBUkp8vfff+uaLF68GEnJwdaYdNLZduzYUTd3/I4++uj58+ejCgoM94TMJB+OZS/64IMPEPvEr4tTFyxYIJXUrVsXMWWNSy65RDa9qzPIjRZX7LPPPkNSJJ07d0Y5x2ODi4qK9AI7EfuxMnoW/sSJExGHmL4cBL7jUCk0dEN/8skniFPqhRdekJWJ8btWINgak+jwww/XJmc655xz3njjDfm0tnbt2p0lduzYsX79+l9//fXZZ5896qijUNRQUFBw+eWXozoKAPeEzLRo0SLZfzp06IDYJ34N3A844ACpZO7cuYgpm8imj3FbjKVLl+67774dS1iH461bt0aqkS4HD8xTAuUMvXr1+s9//jN+/Pjjjz8eSQYUjSKeMiER7KrqOClN3ooMdtxxx8lW3m+//RCHgF4E8u9//xtxErA1Bq+oqKhv375Gp1JMOuGIP13GNm7cOL0YQ1166aXIIF9xT8hYQZyq69fAXStBQFmmfv36svWjnfdy5ZVXavMok/Ne7HqiSzSVKlVCuShGjx4txfbYYw/E4aYvCoHvdJzEnTSl5KOpbmUZVCEpBMy1cn5yDgpbY8Cuv/563abiqquucnvHXpvCwsL9998f1eXkTJ06FRnkE+4JGevYY4+Vfebuu+9G7AdfBu6PPvqo1HD44YcjpiyjT3WpUKEC4tJmzJhhNLGyRTvl96KLLkIJi3HjxiE7Oj2dRo46iMNNXxcC33GoFALt2rWTTXzjjTciDg09oyyxG5clgq0xMNu2bTM6kmKXXHIJUn1y8MEHa83NmjVDEvmBe0Imkx3G3wtA7733Xt0P99lnHyS5pzXEfsIlZbbKlStLG3j77bcRh8D48eNllVq1aoU49IzdiAP3jKW3YPJxE2/evPmXX375yrBo0SKPH1D9XbcysDUGw7wZV3B36P/jjz/0qWEi/PfYTRfcEzLZYYcdJnvLiBEjEPuhyIDAvTFjxsgqVatWDTFln3Xr1pUvX97oycPS/4TznITYdIUR+I5DpVQbOnSobF/5F7EHo0aNKigo0AZjVbNmzZ9++gmFXNLnc48cORJxoNgaAzB8+HBtBkl4DKJ55sy7776LJPKAe0Im27Jli+4tiENA10e98cYbSKWsocMR07HHHouMlOpo3Phs8ODBiNOBvoEIfMehUqr5sn2XL1+u9USz9957o6h7MnvFihURBIqt0W/mJfvz5s1DUsD0Ozvx8MMPI4kSxT0hw40cOVJ2lZYtWyJOqQ4dOuiua9ptt93+/vtvZFNGizaGeP/991EiRZ588kldE8RpIth15lAppb755hvZuDFuvhSPtWvXaiNRBx100K+//rpixYqVK1f+8MMPJ510kiQeeOCBKO1ehQoVpAapE3Fw2Bp9dc455xgtImf16tVISop3331Xl/vUU08hiRLCPSHz5ebmyq5y7733Ik6RiRMnymrIyuhz7618+TmYwmzIkCHY2IaqVasWFhbOnz9fQ483MfBiyZIlug7pck2qSVcbge84VEopvbWAxwdxaAsRNWrUQJKv7rrrLqn8lltuQRwctkb/6FYTmzZtQlISzZs3T5f+9ddfI4nc456Q+czH3SXjq5EopI/QdVi5cqWmmB/6TbEfr0NpyvrIUvXEE08gz3hSryam5ORys1k+/vjjSEofuuYIfMehUkpVqVJFNu769esRu3fzzTdrC8nLy0OS3/Q3NI8/C8SFrdEn+kuO+Ouvv5CUdM8884yuA29QkTDuCVnhrbfe0l0lJeelyJhMl/7ggw8iybBjx4569epplmrUqBF35kxy/vnnY9MamjRpggyLU045RXOTd1togzlqv+yyy5CUVnTlEfiOQ6XU2bp1q2xZjwNubR4i0EfQ6yIQBIet0Se6vaZMmYI4RQYNGiSrwXtUJIx7QrYYNmyY7rTJPy1Bb489cOBAxKW98cYbumImf2+DQymxfv16PQXW9MwzzyDPoU2bNlLA31uXxmaecH/UUUchKd3o+iPwHYdKqfP777/Llu3YsSNi9xYsWKDNQ/peJAVD+3YEwWFr9EOLFi1kY/Xu3RtxSsmoXVbmggsuQExucE/IIjJGKe7Lc3LWrFmDpICZt7Xp0KEDkqLQczqtvvnmG+RRujn55JOxFQ3x3Bxd7y4noj1R1UcvvfSSLmvIkCFISkP6EhD4jkOl1Hn77bdly5566qmI3RswYIA2j+uuuw5JwdAn7DifYewztkbPZs2aJVsquPOm3DLvwLtx40YkUdy4J2QXORjo3hJ4V2v51uewww5DUkx///23fgo3tWvXLoWXLVIC9MtCq5dffhl5Zbnmmmt0lkCfyNi9e3ddyn333Yek9KSvAoHvOFRKnSuvvFK27MSJExG717BhQ20eM2bMQFIwHnnkEVlK0B8P2Bq90/aQhON+/EaMGCGrxIeqJoB7QtbRG0SK4447DkkBuPTSS3Upbu+Nbd6bz3THHXcgj8LN/NZcNWjQwO0lp99++y1mDuCr9ylTpqDqnJw//vgDqWlLXwgC33GolDr68+Ps2bMRu6d3EhO6A8q/K1eulI5U+vzLLrtMPrL6dQ+lzz77TJZy+umnIw4IW6M348aNk81Ut25dxKGRl5cnK7Zu3TrEFB/uCdnIvCWT+PLLL5Hqkx9//BFV5+R88sknSHXpwAMPRBUlfvnlF+RR+MydOxfbqcSzzz6LPPf2228/rUS69YSbkJWee6COPPJIpKY5fTkIfMehUuro8y68PB9e24ZYv359165dEZRWUFCwcOFCzJAo/YUt8NOm2Rq90S2+ZMkSxKExadIkWbHWrVsjpvhwT8hSRUVFeqmKqF27ti8feeUgYf5EW69ePY9nuchxy/aY7u7duyOPwuSQQw7BFjK0bNnS7RftTnKMqVy5slZYoUKF8ePHJ3C7ocLCwltuuSU/P1/rqVatWkpuXRwQfVEIfMehUurUqVNHtuzmzZsRu6Q3pYmTfOTGbAlZunSpVCKfDRAHhK3Rgy+++EK2UePGjRG7J0f2ESNGmD/jqLy8vPfeew8lPNDa+KW7K9wTstrs2bN1txHyqfeNN95AhksffPCBzI6KcnLeeecdZHhmPifZNG7cOORRqplPUDJNmzYNeX6Q9mn98Fa/fv3zzjvvxx9/RHYUMhY588wza9SogdlycmrWrBnoTfFSQl8aAt9xqJQ6+o37n3/+idilVatWadswvfDCC5KoufJp9rHHHkOGQdMTo88v8/L41biwNXpQt25d2UY//fQTYpf2339/o5lEtttuu6Fcoi677DKp54YbbkBMceCeQLumTp1asWJF3Q9F+/btX3755TI/AW/YsOH111/v1KkTZjNYn63jIz2SmeSj/9KlS5FHKWLepEi1a9cOGQE444wzsBiHqlWr2r4KMkn6RRddhCoyjr5GBL7jUCl19J4wc+bMQeySfguuXnvtNaSW9ttvv6GEt6eP6Tnu8jkZcUDYGhO1fft23cqIXbIe3ytVqtS1a9eDDjqofv36SDLUqVMHpRNi3l4GMcWBbxbB8uXL99lnH92FTJUrV65Xr16zZs06duwoA3qZkFCf6mfVtm3boEfSP/74o2181qdPH+RRcn333XfYBiW8XEgXv40bN77xxhv7779/fn5+xMG6JEpWjx49Pvzww5Q8ayyZ9CUj8J2Ok3g0TQX9DnLSpEmIXVq7dq22DYGkSPSLWHHAAQcgyb3x48dLDf/3f/+HOCBsjYmaPHmybKCEby3apEkTmb1Vq1a28+P/+usv62M6FixYgIyEaCUIKA58s8ju+++/HzFihJ5nGYMUuPLKK7/99lvMlhTXXXcdFl/ipZdeQh4lhd652dSzZ09kUHLp+4/Adxwqpc4777wjW/ass85C7NK2bdu0bQgkRWI+bEFGYEhy7/DDD5caZs6ciTggbI2Jkk9lsoHeffddxC6NHDly3rx5CEqTsbvRfIp169YNqQnRT6q33347YioL9wSKy/bt27ds2YIg1czLalVBQUHSHimVzb788ku84yVmzZqFPEo63QQIfMehUuroieP77rsvYve0bYjffvsNSQ7Wy4eQ5J5e+Y0gOGyNifK4fWPTyoXHs2X0kS/t27dHTGXhnkBpyXpZrTrppJOQRwGwnUbVo0cPZFCK6IZA4DsOlVKnsLBQtmxBQQFi98xrlmLcb+Dyyy/XMpUqVUKSe3rGGoLgsDUmSraOfLhC4Dfzxl9NmjRBUkKKioqkkvA81TX8uCdQGjv33HO14zD5eEMbUtaboKtQPX4va+m2QOA7DpVSSgbTsnETvk6jZcuW2jxOO+00JDmY93dP+J4wGzdulNmDGxf+g60xITt27JANVK1aNcR+M5pPsQsuuABJidJPgN7vI5wluCdQepO+yXY6voSZdLvu1GrTpg3eVgNvpR8eukUQ+I5DpZTq06ePbNz3338fsUvXX3+9Ng+BpNLMm42IhG8FNnr0aJn92muvRRwctsaEvPrqq7KBzj77bMS+0mdvKe93YW/WrJnUw1Ne48Q9gTKB81vhIUOGII8SMmXKFLyVJb7++mvkUQjoRkHgOw6VUkqvJ/HyXak2DzFhwgQkWZx66qnI9rCJq1evLrN7f/xq2dgaE3LrrbfKBho7dixi//z9999G2ynmy3NPu3XrJlXxLs9x4p5AmePYY4/VrsTEkzoSY32clujfvz8yKDR00yDwHYdKqeZx+1rvwD1+/HikGqxPYHj66aeR6pLeftvLifgusDUmZMiQIbKNpk6ditgPRUVFxx9/vNF2ilWpUgUZ3ujjtxctWoSYYuKeQBll48aN1odJiRYtWmzfvh3ZVBa9FZ0pNzd38eLFyKMw0Q2EwHccKqXaeeedJ9v3pptuQuyetpAYZASPou7pU6KuvPJKxIFia0zIkUceKdvoq6++Qpwoo7HYNW/e/IEHHkAJz0455RSpM/D7imYK7gmUgZ5++mntXEx8onI8bLeOOfbYY5FB4aPbCIHvOFRKtfXr13vcxDt37mzUqJFW4mT7Gt4V82mXSbqakK0xIXqr/s8//xxxonRb2+Tl5VWsWPH1119HIW/0gQA///wzYoqJewJlrJ49e2oXY/rpp5+QR6VNmjQJ75EhNzfX48PwKGi6pRD4jkOlENAz1p588knECfn+++//9a9/NWzYUKqqX79+v379/ve//yEvUfogvOOPPx5x0NgaEzJixAjZTC+++CLiRL399ttPGK688sqhQ4c2btxYqjW1adMG5TzYf//9pSrb81kpGu4JlMmWL1+unYtpn332QR6VsHXEJ554IjIoxHRjIfAdh0ohoPe3Fjt27EBSCKRgrdgaEzJu3DjZTKNGjULsq4svvlibgfB+qUP79u2lHjleI6aYuCdQ5rM+I1D5eHJePN59993rr7/+iCOO6NatW/Xq1WsY9t57765duw4dOvTZZ5+N8YDDQD3zzDN4R0rwx8p0odsLge84VAqHo48+WrbyYYcdhjgE9Bax5557LuIkYGtMyPz582VLBXcPXzmuFfdBhtdeew2pCZEDolSyefNmxBQT9wTKFvqZ3irQm08tWLCgR48eWFJ88vPzx44du3XrVlQRpC1btlSpUgULNiTvh2/yg241BL7jUCk0dEOH5Gas06ZNk5VJ9kMu2RoTJRurYsWKCAKgp2AJjw9P1UoQUFn4TlEW0W8grBJ+amAM1rutqXPOOWfq1Kk///zzypUrt5fYtGnTsmXLPv/885EjR0qvh6KG3XffPdDj9P33348lleANdNOObjgEvuNQKTQ+/vhj3dbSaSApRcyTZKQjRVJysDUmSjZWbm4uggAMGzZMm4RAknsbNmyQ2WvWrImYysI9gbLO8OHDtaMxPfvss8jzpnfv3qgxJ6dr164fffQRMuKzbdu2oUOHYn6D98vIbOTQW6tWLdRuGDx4MPIorejmQ+A7DpXC5KSTTpJtHehXp/HIz8+X1bjkkksQJw1bY6IqVaokm0xGxoj9dttttxV3QwYkuScHSpmdNzGLH/cEykY7duzQZyybKlSosH79emS7d+WVV6KinJwrrrgCqYlatWqVObyuUqXKxo0bkeHNPffco3Uqeclr165FHqUb3YgIfMehUsjoY0qbN2+OOOkKCgpkBVq2bIk4mdgaE3XVVVfJVrvvvvsQ+22PPfYo7oZyctq3b48k9/bee2+p4eOPP0ZMZeGeQNlrxowZ2umYBg4ciLy4yWcAzJyTc/vttyPVDz///DPqzcm55ZZbkJqoOnXqoC7D8OHDkUHpSbcjAt9xqBQ++mi5tm3bIk6iBg0ayKIrV66MOMnYGhM1Z84c2XDS+SN26bvvvsNUJHqKi5o0aRJS3dMaEFAc+GZRtrvgggu04zC99dZbyCvLs88+q7N06NABSX4zb4nTokULJLl03333aQ2qUqVKhYWFyKO0pVsTge9SN1Rat27d0qVLv/3223mGxYsXL1u2DHlZr3z58rLRa9eujTgpypUrJwuVRSNOvtS1xgyQl5eXWEfxn//8R7d7xHM+Fy5cKLkmpLr36aefyuwJf7TITtwTiHb9/fffejsqU82aNbdt24bsKC666CItPG7cOCQFQ1ZPj50VKlRw9ahCeQnVqlXTlVRXX3018ijN6QZF4DsdJwVXf2mPPfZY27ZtbW3VRgYQTZs2veSSS3bu3InZspKeaC6jseBOXDbJRyZ983fbbTckpURyW2OGOe2002QL3nHHHYjjZnsqX/Pmzbt27Tp48ODOnTvbdtWVK1diHve6d+8uNfA8GVe4JxDBG2+8od2QadCgQchzOPTQQ7WMlz7LlQ4dOugSt2zZgqSY9LF5VmvWrEEepT/dpgh8l5Sh0qhRo/RVWNWvX79du3ZHHHFEX0PPnj31xuE2J5988uLFi1FRlpEPOfomBPqVwciRI3UpsgmQlCpJaY2ZSj7oykZM7AcT2wmWEa1atQql3du2bZvUUK5cOcQUH+4JRKWccMIJ2h+ZvvjiC+SVOPHEEyU92Tcz3rVr4MCBukqxfw2QAboWM8kgHnmUKXTLIvBdkEMl+eTZqlUrXX9RUFBw2mmn/fnnn7FbdVFR0bp160aPHl21alXMaVy6PWfOHJTIJnfffbe+A5UqVVqxYgVSfbJkyZIKFSpo/U888QRSUyjI1pgNunXrJpvymWeeQezG2rVr5XinlyabcnNza9eu/fnnn6NQovQz+ZVXXomY4sM9gcjur7/+0nNJTdabOVx77bWamJLbKvfv318WnZ+fj9jBdrNLeSEy3EEeZRDdvgh8F9hQqWvXrrrm4uKLL074V6Dx48fL6AEVheb5RMm0dOlSczi1xx57/Prrr8jw4Jtvvqlfv77WWadOHb/uZ+VVYK0xS/z999+6TRGHg3zgDOFapQW+ZUSRTZgwQbsVkwzZ582bp9NlngEfHL15lvNJdc4v2m+66SbkUcbRTYzAdzpO8rX+Bx54QNdZ3HXXXUj15rffftttt920znbt2rm6AiQzPPvss+YHGJmYMmVKAm+C9GbPPPOMViLy8/PffPNN5IVBAK0xe5x88smyTfWoEap7petPZ8HdqjKDcU8gisX6TCXzACnDd2SniP6Qbb1HpPVG8iLJ952g5NMNjcB3fg+VWrZsqSt8xhlnIMk/b731llYuFi1ahNRsMnnyZLx+Q9OmTc8///xffvkF2VFIP3buueeaT61X4RqyK79bY5Z46aWXsFFzcvSnWpG0i7JiGz9+vKwMz25PDPcEojIsWbJEuzwdLl900UXISJ1NmzbpKm3fvn3Lli36eDzT2LFjUY4yl25rBL7zb6i0bt06XdXy5cv//fffSA3A/vvvrwuSMQGSsszatWsPOeQQfROcqlatajsD0EoGdik59y8u/rXGLLFixQrbQaFu3brjxo3TaRRKnfXr1+uaLF++HEnkBvcEoricddZZ2tcgTjX9xsJ2JJbeGdmU6XSLI/CdjpM81//jjz/qenbr1g1JQTLP94hxP6hsIOMhGaWZN5+JZu+993788ce93BUkSXxqjVnimGOOwQYu8dprr2lWp06dJGzdurWGqaKHreuuuw4xucQ9gSguRgeY8+effyIOAdt3Kvfffz8yKAvoRkfgOz+GSrNnz9aVvOKKK5AUPPN5w3369EESpTs/WmM2eP3117Xxm4477jjkldD0I444AnHS1a1bV1agUaNGiMk97glEZXvhhRekr9lnn30Qh4N5VT6/aM9CuukR+M7zUGnp0qW6hg899BCSkmXjxo266EsuuQRJlNY8t8aMt2nTpipVqmizV1WrVo14PzG9rbtIyTmfLVq0kEXLqiKmhHBPICqbXpZaWFiI2JtZs2b973//u/XWW5988snZs2d7eRJkrVq1ZMWcd5qnjFd87A1uKON5qKSrl6r7Gm3YsEFXQHYxJFH68twaM5s+G9Uq9i3bV65cqcWOPPJIJCVFvXr1dLmIKVF8B4nKoL/4t2rVCnGiVqxYYfZcNgl/Za63p2zatCliyhrachD4zhwq8Y9/4fmj0j766CPtB0y9e/dGXkzmnd0bN26MpCBt2rRJv/yqWLEiksgD7glEZejcubP0OB6/1T7nnHOMfjKqrVu3oqhLeXl5MjsCyhrabBD4zhwq8Y9/4fkji6ZNm2onoGRk/PvvvyMvDlu2bMGcAd/dZerUqboUntLpF+4JRGWQHkcGxwgScsopp2jPJfbcc88//vgDGcZXEWeddVbNmjUTfnbM4MGDpdrbbrsNMWUHbU4IfGcdLfGPfyH5I8MFF1ygu78p4Vugmk8y7t+/P5L8s3nz5saNG2v9F154IVLJM+4JRLH88ssv0ul06tQJsXtffvml9lxi5syZSPWP3tN9r732QkzZQVsUAt9ZR0v8419I/rLe+++/rzu+6cADD0Reop5//nnUlZNzww03INWboqKiPn36oNIQPLIww3BPIIrl2GOPlX7nww8/ROxexYoVtfMK7jo5rR8BZYcQbnT9TbxWrVqIw+HGG2+UteJ1IJTWtm3bZn57reTI4uPtiQ877DDUm5Nz6aWXJnwnhl9//VUPmuryyy9HBvmHB3uiWPSmswmfx6Jf2ItKlSohKQDt2rWTRaxZswYxZQFtVwjCQVfphx9+QBwaeh0IH9NINn///ffSpUufffbZq6+++uCDDz7I0KdPHwlff/31FStWbNmyBUVTynmJVBCPB5bPBnvvvTcWkJOTn58/bNgw2WvKPPzt2LHjt99+O+mkk3RHUyeffLKXG6ZRDBy4E8WifRAC98x+MPb9uTw688wzZRHff/89YsoC2q4QhMB7770n65PYXSN+//33P+KDGVzSL9333HNPxJTdHn744W7duhk7UFxkTP/UU09h5uT63//+h5Uo0bdvX+QFQ0bht912GxZm0a5du2OOOeaMM84YPnz42WefLROHHnpo69atkW3xwgsvoC4KBgfuRFFt375duiEvX5ZrRya2bduGpADok96vv/56xJQFtF0hCAF9tEoCJ7Putdde+lrilNiupPMioKz08ccf16hRQ1uC2m233Tp27HjllVdOmDBh/vz53xu+/fZbGaYPGjRo7733rlmzJooaGjduPHfuXFQXsLVr19qWXr16dUlEdlLcdNNNu+++OxYfXfny5du3b89nJiQNOzKiqPTRpF6u/tF+TSAOxpIlS2QR3q9SojSShHYVPxlMy8rI8RuxG3o2Wvw2btyIOd045phjZN777rsPMWWThx56SBqnth9x8sknf/fdd8grS1FR0Zw5c3r37o2Zja9ypkyZguxgOM+NefTRR5GXCjt27JCjjHyqmTFjxosvvigfgWTixx9/5OlnKcGBO1FUv/32m/SYxx57LGKXFi5cqH2uebneiBEjWrVqVbVqVUmsXLlyz549J06cqFle6FOsmzVrhpiygNGywtKB33333bIyAwYMQOzGM888c2hZOnbsqK9XYDaXfv/9d5m3Tp06iCk7zJw5U5uNaNSo0ddff42MhLz33nsNGjRAdTk5P/30EzL8o6ecWfEbGbLhwJ0oqh9++EH6zXPPPRexS5999pn2vLvvvnu1atV0OiLvP4BKJRUqVEBAWUBbDoJUq169uqxMcOeDmQP3/fffH0nuaQ3bt29HTJnOPM2jZs2aK1euRKpny5cvl85Wa+7evTtSPZPdp2HDhlqtKl++PL/SJicO3Imi0oH7Oeecg9ilSZMmaf9r06NHjy5duiAokfCNa5TUwIF7VtFmgyDVgl4ZrV8k/IBhsc8++0gNCxYsQEyZa/HixdpgxNtvv41UX02YMEHrz83N9dIs1dChQ7U205gxY5BHVFrw/b705vzjX3r+FZ8ok5Mz0JEe59+jxuyqfk7ObEeBj5BZbF9Hbvx/O4wamjjS+RfqP2+MbR6Kgbve87Rhw4aI/WbeYdrjPVUfe+wxqeSss85CTBnqjTfe0AbTrl07JAXGPHPmm2++QZJLX331ldZg6tChA/KIIuHAnX/8i/pXfGlqTs6BjvQ4/140ZhfStduyzD/rJUi2rPj/lhmz93Kk8y/Uf94Y2zwUA3f9ZWno0KGI/aavVHz88cdISsiWLVukkipVqiCmTDRy5EhtLUm7ycmwYcN0ic899xyS4ua8neKPP/6IPKIoOHDnH/+i/hUaPWlVR3qcf28Zs4tKjizzbyuKFFvryI3zTz8hXOdI51+o/7wxtnkoBu7//ve/ZU2ef/55xL6688479ZWWK1cOSR74VQ+F0/XXX6+tZfbs2UhKiqefflqXG//Y/ar/Z+8+wKUm0zYAD+XQRXqRjoAoICCiKBZEVHBRsaDYcW3YEUGxga4FRRHXAgoq+1tAbOgq4IoKVgRERBBUqiC9937O/zLvk5gzmZKZSWYmM8995eLiK+mZL2++k3LXXTqK6dFHH0UZUVQM3DlwiDaokEyHw7cYO1DMVmQdTL/aihwOVwVH/9GWzyGjh+QE93lGBO76pjyPegp1NcUTTzyBrCTopJCg7PLuu+/q/v3zzz+RlUJffYU7H6dOnYqsCGbOnFmkSBGtrFq2bLl//34UE8WS2sCdyG8qVaokDWtin27esGGDtssCWeGgRhKfPj366KNl9PXr1yNNmcyl9lCPGSTSqlGjRh4dfmYoJpCVHBcnRRnljz/+0J07bdo0ZKXcmDFjdBl27tyJrML27dt3+OGHax2TF++UpOzmfROmpygdiPzmtNNOk7Y14ZOBNs1i9+7dyCps/359svSgdevWITdOOjoSlOFcag8zZ6eXLVtWliTJ1yKFZX7n8sILL0RWcnRqSFAW0T07btw4pNOkb9++shhFihRB2uK2227ThTQ9+eSTKCOKh/dNmHmWYnNJPjRnzhxpYY8//nik46QNtIh0B7B+F0aEbeud2L59u4zeqFEjpCnDudQe6mGDRFp5tCSLFy/WKYutW7ciNznFihWTqSFB2UIv8E488USk06pWrVqyMNavJpl30ZgSPqEQCe+bMD1F6UDkQ9LOFi1aFIk43X///dpSR3rJesmSJbXCkUceiaw4aR/PfffdhzRlOJfaQz1skEirKlWqyJJs27YNaZfoZEWFChWQlTSdIBKUFT766CPZpwk30V7QW9hXrFixc+dO65dWhTT4abkFn7IJA3eiGPSuxDlz5iAdjz17/n5tzA033IBcw/XXX4+yJL46KWcsGR0JynwutYd62CCRVkcddZQsiYQpSLth3759uoJi8eLFyE2aThAJygq6TxN+jboXxo41XwVcyODBg1GDKAneN2HmWYrNZcY7cOCAnCMnTZp00003XXHFFc2aNWvevLn8e9111/Xt2/e7775btmwZquaSyZMnS5vbqlUrpON04YUXaqutnn322f/973+PPvoo0kEJvzFj7ty5MjpfTe0nLrWHeuQgkVZdunSRJXH3ocCuXbvqCpYqVQpZbtBpIkH+d88998gObdKkCdIZQ45bPdjUMcccgwKipDFwp4Nfhz7zzDPLlSuHNiaWKlWqdO/efd++fRg/B+iKIxE/+5sErF555RXUi1/16tVlClOmTEGaMp9L7aEePEik1eOPPy5L8sILLyCdNOsT288//zxy3SATLF68OBLkf3qQJPznSu9ol4riN5XIXQzcc1rv3r3RtBhOPvnkfv36ffrpp/Pmzdtg+PHHH//73//27du3ffv2qGd45JFHMK2sNnLkSFnZM844A+n4TZw40bxn15Tk19c3bdokE8momzspNpfaQz2EkEirL774QpbkggsuQDpp1nYJWW5YuXKlTJCPcWcN/exRu3btkE7I77//HvJH0XLlyg0aNAjFSdBHZhctWoQ0kUsYuOeibdu2HXfccdpIicMOOyyuP3Pn5+ePHj3aGoZ27949sTed+4iu6ebNm5FOlGw9t16cp489TZgwAWnyBZfaQz0gkUgraU9kSRJ+LZKdrpq48cYbkeWGe++9V6bJ71NmDX0GdPny5UjHT859wQMtDJl4kq29vpGsbt26SBO5hIF7zrn66qu1YRL/+te/kJuQPXv23HrrrZhWIDBkyBAUZKNXXnlF1rFMmTJIp9v48eNleQ455BCkyS9cag+Dv7lMaVRdfM3im2++qasmdu3ahVw31K9fX6a5YcMGpMnn9CBBIn55eXk6BXX++edfeeWV+sU9E6omSifCr6KSu7xv9+XQNwdKK+t7kQcOHIhcN1gvBiSaR27WkShZVvDpp59GOq10a69cuRJp8guX2kM9AJBIt3r16snC/PTTT0gnQddLHHHEEchyiU4WCfK5G2+8UfZmwu9pOfbYY/V4ECHHrVzaoSDpG6t69OghE/nwww+RJnIDA/dcMXToUG2JmjVr5sVtLTt37qxYsaLOIlufldRPHYmEP3HqFt3U119/PdLkIy61h3ooIpFuU6dOlYVp2rQp0olasmSJrpfYuHEjct2gS8iXe2SN2rVrJ3yQyNkqeIgdNHHiRORazJs3D8WRP3rtxPfffy9T4OeWyF0M3HNChw4dtA0aP348srwxcOBAnZG7PfqZQ1p5XUG37lNPwDnnnCMLUK5cOaTJX1xqD/U4RCLd5Oegy5Pk76Jq1ao6nUgfLEuYvn/J3XdWUrocOHBAjxOk4/Tcc8/p6CVLlkSWTZkyZbTOVVddhayE6ESQIHKD98eTnqJ0oHRo1KhRKtsOs8+se/fuyMouV1xxha4g0ql15513pnHu5AJtDJPeg5l2GHTq1EmW57333kM6fmvXrtWVEu+++y5yXaKTbdOmDdLkZytWrJC9mfBfeI444gg9Hpo3b44sm0GDBmmdJJ9r0okgQeQG748n8yzFYzcdGjZsKK1GXl4e0imhb5kQV199NbKyS4sWLWTtUv+g6v33368bdufOncgi33GpPdQjAYkMsG7duiQX6ZRTTtEpCGS55Oyzz8Z0g5J5DwllgmnTpsl+PP/885GOkz5LLR5++GFk2ZgvYk/ydUn64hq5KEWaKGnet/t6itKBUqtjx47SZKQ4alfmF8uTfHFNxqpVq5auINLeu+iii3SOa9asQRb5kUvtoR4MSGQGvbsg4Q+KSaPx1VdfTZ482d2HcPbu3avbymrAgAEoJh/SN3sm/M0vPQbEzTffjCybLVu2oFJyv7J+/frJFF599VWkiZLmfbtvnqUy7ByT9Z5//vnkG51kmA8AzZ07F1nZ5eSTT9YVlGgDWd7Yv3+/ecNlGu+tJ3e41B7q8YBEZvjrr790qTLqKNW/Ol522WXvvPOOLp7iC7b9S5/z+fHHH5GOk74fTER/c5HWEdu3b0dW/PS9vXfeeSfSRElj4J6d1q9fry1Oeu+pmDVrli4G0lnn4Ycf1hXs2LEjstxmPg5brFgxvg84G7jUHupRgUTG0I8rJ/ONYXeFNEHyCypXrpzmqB9++EGLyEdatmwp+y7hW57++c9/6t6P/udorSOWLFmCrPjpEXjxxRcjTZQ079t98yyVeeeYLKbNzdtvv410+vTs2VOWpHbt2khnnQULFujWFm+++SZy3bBly5bKlSvrlK+77jrkUjhr166dM2fORx999HHQ9OnTM/fvPC61h3pgIJFJdMG+++47pNNKF+aTTz5BOujSSy/VfHXuueeigHxCG8a9e/ciHSfr2x779u2L3MLMFyiLX375BbnxW7RokUzh1FNPRZooaQzcs5De/9ewYUOk061UqVKyPN988w3S2ahLly4HG/jgk0xjx45FbqI2btxYrVo1nWCZMmXWr1+PAjJs2rTp3//+txxa+tnzKPLy8i655JIVK1ZgzLRzqT3UtUMik0yZMiVDlk1vkmnVqhXSFjNmzNCFNG3btg1llPH0Je7J/D350EMP1f0u6tevP378+MWLF//+++8//PDDLbfcggLDggULMFr8ZJoyhTPPPBNpoqQxcM9C2tZkzhdM16xZI8tTtGhRpLPUqlWr9HSiTj/9dAkuUebYY489VqFCBUwiEHj99ddRQIY77rhDjiVsIEPTpk3PPffchx56aGCQnHoliTKL9u3b//nnn5hQurjUHuoaIZFhOnfuLMuW+tcuWd19992yDFFeCXLgwIGQ79vz5+YXekfW0qVLkY5ffn6+vRmJZOvWrRgtfpMnT5Yp9OzZE2mipDFwzzYSL0ozcfvttyOdGZo3by5L9c477yCdvSQaOOmkkw429oZq1ao9+eST3377rf17q7t3754zZ45slm7duqF2ULly5TLhNqeMsnnz5uOOOw4bKBCoU6fO/fff7/D1I//9739PO+00jBn02WefoSz1XGoPdUWQyDz6Frx0PQA6YsQI3T4xX8H0+OOPa03FT6v6Qo8ePWRnJf9X3Jtuukn3ewiNs5FI7lcmV4MyhXvvvRdpoqQxcM82yTc0XjDf7I50Dpg0aZL1r7FOlChR4sYbb0ymdydbnXDCCbqJihQp8sADD+zatQsFcfrll1/M9/PI1k7P+7xdag91LZDISHl5ebKE1atXRzpVzBdqLV68GFlRrV+/PqTzNZmHESkFXnjhBdlN0hQgnbQ///xz+vTpGzduRNryMWCBrIToa3zT2VNAWcf7dt88S2X2OSY7DB48WNqIBP4qJy1gsIFypG3bthgtHvXr15dxv/76a6RzxooVK0aPHn3zzTcffvjhZtSoqlatevbZZz/77LOTJ09GbSrszTffxMYKBF566SXkJkfi9Tp16ug027Vrh9yUcak91OVHIlPpQlaqVAlp75k3KH/77bfIcibkD2W9e/dGAWUefbq0U6dOSHvgjz/+0CMhyTu+ihcvLhPhC8HIRQzcs4o2NEjEw3yvrUMYLR5Lly6VEY866iikiWIxP3jZtWtXZLln6tSpOnFhv4vJQy61h7rkSGSwihUr6qI67P9Ohj6NKhYuXIiseLz33ns6upJWkfFWZtqwYYPsoMqVKyPtgccee0wPg27duiErIToRJIjc4P3xZJ6leOx6bNmyZQm3Eddcc42O6xBGi5OO6+5nESlbmX+dWL16NbI80KZNG53LpEmTkOU1l9pDXWwkMtsxxxyjS3vrrbciy23z5s0z3y+UwEPhph07duhETNn9Oiz/0r3j3dlEpy/kIgFZCdGJIEHkBu+PJ/MsxWPXY3feeac0ECFvLHaR+YLCRx99FFlx0ncm/vTTT0gThWN+oz41rzR95ZVXdHZDhw5Flqdcag91mZHIeC+++KIusIj3Jpbo9u3b16JFC53ycccdh9zkXHvttTpBlWSfK3lBX3iwbNkypF319ttv665P8i6v//znPzKRG2+8EWkiNzBwzx76J+lkepuiMD9mLpAVv9mzZ8voYV+rTKQkDtPD7IQTTkCW93755Red6cMPP4ws77jUHuoCI+EHe/bsqVq1qi526dKlk38yePv27dKY6ASLFCnibte4vn7bVLx4cT41nlH0ert9+/ZIu2fz5s2608XEiRORm5AmTZrIRGbMmIE0kRsYuGcPaSC8e1f64YcfHmzHAs2aNUNWQmQKpUqVQoLIRp/l6tGjB9Kpsnbt2uAB7uHfrMCl9lCXFgn/GD9+vC65SuwZ0FdffdX6zQTv3n7boEEDzCPohRdeQAFlAN0pSMTpxx9/xP8Kk5+/TlYk+TLTAwcOyESy/gMmlHoM3LPE/v37pY2Q8BpptwXbsYMSfhOf0okgQVRY6dKl5fBo3bo10qk1d+5cPT5jvvw7KS61h7qoSPjNTz/9VL16dV0FdfLJJ48bN27hwoX2z2FK47ZixYrp06ffeuutqB0kIVGk79W76IknnsD8guSCAQWUbpUrV5Y98uGHHyLtmJzFdG+Kf/7zny+//PKIESOuvvpqZAUdcsghqJ2oAQMGyHQ6d+6MNJFLGLhniV9//VXaiLPPPhtpV1111VXBpuzg6wuRlahatWrJdDy6n4d8TcOyEiVKIJ0O5ntFkPaCS+2h58vpPWkH+vXrpytiJ0cC/mdz/PHHz58/H1Pxnn772Yovek+vH374AXsi0T/hYuQI5DIS9ZKgT0vv27cPaSKXMHDPEs8++6y0Ef/5z3+QdlWwKTso+a9I/POf/5TpSLOLNFHQ4sWL9RhL+3lOv8/avHlzpF3nUnuomwsJ//v444979uwpG798+fK6aiaJzI466qgLLrhg+PDhqJ0OHTt2xAIF3XbbbSigFNq1a5d+lNcqgbd/fvXVV/p4awjZy/a/+SRAv93bpEkTpIncw8A9S+hnR9x9XYP697//HWzQDkJWEvSvh/yMHIUoWbKkHBgzZ85EOq30Pvs//vgDaXe51B4e/EFmdaOage+N/fTTT3WzK7nGyM/PRxl5L+RtP+L++++Xf5P5M92OHTu2Bbm7K3Xx0vNtZsp2DNyzROfOnT1qJooVK6Zt0JAhQ5CVBH0r3Pvvv480UUHBU089JUdF5vROTZ8+PXjIe9NkudQeeriEFFWFChV04yvPn2amgoLJkydjcxtOOeUULdKHJRJ+SbEXzjrrLFmkI488EmkiVzFwzxJt27aVlmL9+vVIu+Trr78+2EYGuXIPwxtvvCGTGjZsGNJERgy6e/dupDNA/fr1ZZFGjRqFtItcag91oyFBqXXdddfp9lcnnXQSCshtO3furFmzJjZ0UOnSpa2fOt6+fbvm79mzB1lpZd71hzSR2xi4Z4mLLrpIWopffvkFaZdoAyRceVhH6I03CbwHgLLVgw8+KIdEu3btkM4Mq1evDh74HrRaLrWHXi0eOWO++9+0ZcsWlJFLQt4jJF588UWUWfTp00eK8vLykE4rXU7RsmVLZBG5ioF7ltDPprp777j5Zmvh1v2mekviV199hTTlPH33QjKvGZ03b17btm0rVqxYtGhRmVSpUqXklLlq1SoUJ0pfNhfpfc+Jc6k9lGUTSFCaNG7cWHeEeu6551BAyZkxYwa2qSH6l/vq1KkjddL1JllTyIv/xRdffIEyIpcwcM8S+hm5wYMHI+2Go48+WpueatWqIStpXbt2lQnOmTMHacpty5cvl+PhiCOOQDpO+fn5eXl5wYM0jGOPPRb1EqIXrg0bNkTaLS61h7qOSFD6jBw5UveFSvKrPST0g6NWCxYsQFlkWvPKK69EOuWOPPJIWYCyZcu2a9dOF0bVr18fNYjcwMA9S2zYsEEaiCQjFas9e/ZooyOmT5+O3KSVKVNGJshX25Jq1KiRHA+JvR7UeogKubw844wzGjRoUKpUKWQFAl26dEHthOhEXH69iUvtoS4bEpRWu3bt0r/2mGbPno0yiscDDzyALWhw/tTpzp07dZT77rsPWSmk74cQmvzyyy81aXrnnXe0iChJDNyzhH45tWbNmkgn7dxzz9XmpkiRIshyg04TCcp5ep8MEnEqV66cHk5i+/btyA3SzxqoZB78uPLKK2UKU6dORdoVLrWHunZIUAY4/fTTdaeoK664AgXkwK+//hry17OGDRvu3bsXxc5oB5bo2rUrslKiadOmOt+QBW7ZsqXmq9q1a2fgS07Jd7xv982zFM8xHtOmAYmk6dTEG2+8gSw3yAST/5Q0ZYdFixbJ8XD44YcjHY8lS5YED8+Dwp7dzQ6wZN7xrO+FPOaYY5B2hUvtoa4dEpQZJkyYoPtFJfZRzxxk3pZp+vnnn1EWp3Xr1ukUJEpGlsf0z8gi7Jvg7V3v7p5SKQcxcM8eLVq0kEZh5cqVSCdhyJAh2sQIZLnh3XfflQmm8R5Eyij6+vbEnuc76aSTgodnoFmzZsgqbN++fVpBJPNpFZ0CEq5wqT10f8HIJfpYs2nixIkoIJtHHnkEm8nwr3/9C2WJkt+7eb/cb7/9hlwPyJ7VuVSoUAFZEYRcmdSoUYP3i1LCvG/3zbMUzzGe2b9//5NB0iIMHDgQuUnQxkVccMEFyHKDNl5r165FmnJbq1at5HhYsmQJ0vEoXbp08AgNvPXWW8iy0Q+gik8//RRZ8dMpIOEKl9pD9xeM3HP33XfrDlLHH388Cshgf59mixYtXPx86RlnnKGT9eK1jAcOHKhXr55Ov1evXsiN6ttvv9X6Jna9U2IYuPvb9u3bzbvoJGn+JxlmL4JAlhukpdNpduzYEVmU2/R4QCJOZlC+dOlSZNl06tRJ69x+++3Iip++323Tpk1IJ09WWYfk6KohQZlH35hk9ddff6Est+3du1efSjfl5eX9/vvvKHbPpEmTMINAoEePHq58oUmaghNPPFGnWaRIkblz56LAmTZt2ui4qlatWrzrneLlfbtvnqV4jnFbhw4d8OsPuvbaa/XhHjlhoEZCzA96u/sivEGDBulk1SuvvIICylVyGCT86HOxYsX0QIry+o7evXtrnWTetnTXXXfJFN5//32kk+dSe6irhgRlqmbNmumeUg888AAKctV9992HbWFw9y3GdldffTXmFAgcffTRy5YtQ0Gcfv75Z+t7Kh955BEUxGnatGmYhGHMmDEoI3KAgbsv3XTTTfjFG1q1arV79259DiaZMGXlypU6QTFv3jzkugETtZDYK8lrDPI1OQYS/tiheQ/rv//9b2TZPP/881qnVq1ayIqfhOwyhaFDhyKdPJfaQ101JCiDjRgxQneWOuyww1DgsTlz5vzf//3f9ddff+qpp1avXr1akMxdknfcccfYsWM9vf/b7scff8QmMLRp0wZl3rv22msx16DTTjvtrbfe2rFjB4ojWL9+vWzDtm3bYrSgvn37ojgJ7du3x+SCGjRogAKiWBi4+8zjjz+OH7pBghLrWzX0dcJIxK9GjRo62ZIlSyLLDZ9//rlMs0yZMqtWrTKfwVfSdrt4XyP5iOz9hF/5csQRR+jxI5BlM2bMGK1QunRpZMVv5syZMoV+/fohnTyX2kNdNSQos+3atSvkXYcJvzUluq1bt15++eUhbWx0ZcuWlaA25IWq7tq3b59+2dRUvHjxP/74A8Up9OWXXx566KFYCIOc7CSzUqVKxxxzTOPGjeU/hxxySMj+ElWqVHH39fz60iqrDz74AGVEkXnf7ptnKZ5jkqOv4LAqVqyYve3TN1hHetWGE6tXr07+c/Eh9ERivlH7pZdeCq7B35555hktotwh+z3h9+UtXbpUjxwR9m/WchjL2Rc1kmh85s6dK6Nfc801SCfPpfYwyfWi1Lvgggt0r6kePXqgwA333nsvpms44YQTJHP8+PFz5szZsWPHtiCJ7KUdfv/99/v06RNyv3WRIkUSvv0jCvu9MQ8++CDK0ueLL76QH7X1WxBhlS9f/qabbpo2bRpG88BZZ52FmQXxM6sUEwN3H3j77bfxm7aYMmUKim20wvz585FOt1deeUWWR1pApA0nn3yyLqopxX+6pfSSPZ7MH3ZCXrr36KOPDgs655xzkGVI5tMBP/30k0yhd+/eSCfPpfZQVw0J8omQTtZixYpJJI2yRFnv4a5YseJTTz2FAsceeOABaZ8xiUBAYnoUJGfBggWYoqFJkyYoy0hr1qzx9C8Pkfz666/YQIbXX38dZUQ2DNwz2syZM823ZyhJfv755yiOYPLkyVoZ6XTThQn7lZwNGzaY7/VTLVu23L9/P4opq8nuTvged1W2bFk9bMIyY5HEvvGkPv74Y5nCoEGDkE6eS+2hrhoS5CvWKFmMGDECBXGyfiH4pJNOkuYUBQlZtWpVx44dMbmkX1Zo/6bSjBkzUEbhWDe+qFu3LgqICmPgnqF+//13+614b775JopjqVmzptQ/++yzkU6fqlWrypJcddVVSIejXfJWjz/+OMooe8mOLlasGBKJev/99ytWrKiHjenmm29eu3bt66+/rsn27dujdvyefvppmcKoUaOQTp5L7aGuGhLkN/369dM9qOL9Ou/evXsxZiDQqVMn5LrkhBNO0Ckndifb4MGDdXTTbbfdhjKKyv787n/+8x+UERkYuGecxYsX22+8u/fee1HsWJEiRWTE9D7scv3118syOLwd4pRTTgmu699+/fVXlFE20r2MhAf0TY7iySefRFb8NIhZsGAB0slzqT3UVUOCfGjNmjW6E1XRokUlB2VRffHFFzpK8eLFV69ejVxXWV9C77wdXrp0qfm6J1WrVq2Yb26hECE3kVatWhUFREEM3DPInj17tKfcqmfPniiO06ZNm3QKHr2+ICazH935ByY2btwY8ix/kyZN+H2KbKUvmpCdjrTbjjrqKD2Kkgm7dQpIuMKl9tD9BaN0OO6443RXqv79+6MggoEDB2rNf/7zn8jyzLnnnqvzGjZsGLIia9eunVY2ffXVVyijONnf9f7SSy+hjHIeA/dMYX9S8/LLL0dZosxvoHrUKxPFf//7X511Al+7eO2113Rck5yrUEZZ5JZbbpGd+/HHHyPtqvz8fD14BLISkvwUQrnUHrq/YJQm7733nu5NVaFChX379qGsMDOSjveDnQn77LPPdI7XX389smzs98b06tULZZSEkHe9y4Hhysdfye+8b/fNsxTPMeEcOHCgc+fO+F0ajjvuOBQn7cknn9Rpmq9iTAHzbY8//PADsuJ32mmn6URMmfOeHHKF3tDZtWtXpF31ySef6GFTsWJFZMVv48aNMoVDDz0UaVe41B7q2iFBPrdz507doSb7SwjMt0mmuCPmt99+0/nedNNNyDLMmzdP78k01atXj8Gli+xd7y+++CLK0m3v3r2TJk0aO3bskKCnnnpKDtpZs2ahmDzDwD2drrjiCvwWDdLquX7nwAsvvKATHzlyJLK8ZK7UzJkzkZWoNWvW6PekTI0aNUIZZQXdrUi4Sqcsli5diqz4PfjggzIFl384LrWHunZIUFYIedG79ZpWD0WRlrDYvB3f/FDxgQMHmjdvrplKIvjp06drKbnL3vW+e/dulKXQpk2bPvzww6ZNm2I5Yrn22mvnzJmDkck9DNzTw7xP0VStWrUVK1ag2G3/+9//dC7HH388srwhDYrOaMmSJchKmv3OmUz4fge5Qp/Ddv3dyeZxWL16dWQlRD8cJqcrpF3hUnuoK4gEZQv9boCpdOnSEiJ/+umnmnT49KoXfv/9d12GP/7445FHHtH/m9z80AGFM3v2bGxrw/Dhw1HmvVGjRplfVTcVL178kksuGTBgwDNBzz77bM+ePU899VQUW5xwwgnr16/HtChp2Ru4b9xY8McfBY88UnDLLfnHHVfQrl2+xKw33FBw770Fc+cWrF2LailnD0MrVqzoXchu2rNnT7FixXSOXjwzZPbrS8yELFedeeaZOn2TnEhQRr6lz0J06dIFacf27t17yCGHTJ06NeSdFeY1qkJuQvQuefePZ5faw+RXkDJW3bp1df9apf0mhA8++ACLYtG4cWMUk/dCvi5XuXLlnTt3oswbffv2xcyCLr74Yud/V3n11VdDvs772WefoYySkG2Be/7ttxfUqVNoplGGKlUKLr64IFUvqxo9ejQOXovvv/8exSlhvnJRrp6TuYXAasKECSVKlNDJ3i7b3zMrV660v3MGZeRD+/bta9SokezHokWLIsuxrVu36jGgQg4MleR76P7xj3/IRBL4DmUMZvuTHF1HJCjrPPHEE7qL1WWXXYaCtDr99NOxQEG8oTn1li1bhq1vePrpp1Hmqj59+mAGgUCLFi1WrVqFgjjl5+dPmjTJbKLLlCmzNn09p9khSwL3/P/8p9CMZGjevODKK/Nff71g8mSJ+DBIlPz++wXXXltwzDGh9ZN403NM5qdMrZx/TcldK1asKFmyJBYiEBg3bhwK4mf9cFK9evWQ6zHZbpil4b777kMZ+cSePXvatm2L/Rf02muvocyZ/fv3Y8xwkv/0mPmBG6RdZLY5yfFq8ShjSFutfSKlS5dGVgbQ04dc1iJN6XDhhRcGGwCoVKmSi+9NnjNnDqYbCHTr1g25SZs+fbr5WclTTjkFuRQ//wfuAwf+Pf3SpfOHDStw/pejPXsKxo8vKF/+7yl07y4RAUrdIC1vyAcpRCa8kPXXX3+1fi6+QYMG48eP37VrF4oj2759++uvvy7NBMYMvnNj3bp1KE4VaU0w+6CiRYum63X1FBcJiENeXG1CjXisWbPmwQcfPOqooyoHXXDBBfPmzcvPz0dxEq6++mpZpJtvvhlpF5mtTXIS3mjkI7qXXXxkKHly7tClQprSRI6KkJc3vPDCCyhLwkMPPaRTq1q1qhcfUbG+/JQ3vifG+9+eeZZy+3eeP3Hi31OWi8JkjoB9+wpuv/3vqQ0ahPwkbNy4Ub8vY/Xoo4+iODMsXLgwJAIWFStWPOmkky4PevLJJ+XfSy+99MQTT7R/z/W2227z7us5Mclv3nrtIXi3ZYbr3r07dpWhZcuWu3fvbt26tfzf/rK5dJHTlS4e0u4y25nkeLiElBkuu+wy2cXS9iKdMY4++mhZMI/u0KC4hLyJKMnH8eUcqtN59913keUN8+t46f24u0/5NXDPr1pVp5nfvj2yXHHNNX8vrYPu57AkoKxdu7YelKYrrrgCxRlp+fLlcpKoXLkyFjeyunXr3nnnnV4/EOOc+aUnU58+fVBGGWPAgAHYPYZGjRrt3btXS837Xrzo4ElA/fr1ZWGee+45pN1ltjDJ0S2GBGUj3cXy60A6CevWrVu1atXKlSsjfdopLhs2bNBlQ5rSasmSJbo7TIm1XXpfVrFixVLzytGnnnpKl/ZJL29Uzko+DNzXrsXUihQ5eNu667Ztyy9XDrP45htkOpOfn699h1YdOnRwpa1Mmd27d69evVragsWLF7/zzjvyr4T1a9eudeX84ZErr7wSmzuoSJEiyXz7iVw0ZMgQ7BVDXl6e/TknbcTLli2LdPoMHz5clqRUqVJIu07bFhmSE9yWjJyylr6nK8mnNSZMmFC9enU9VKxOP/101EjUkUceKdP58MMPkaZ0M7+qq6pWrYoCZ/TRhRQ/TaHf4BOevtYi+/gtcJ80SSeV783XFv82YACW2fErw+23AZx00kmu3G5LTuzatatatWrY9EF16tRBGaXDqFGjsCcsorxGSV+B5+KzUAlYv369Lqfrr5b/mzYsMiRHlxMJyjq6f5P5hsAhhxyiE4lk6tSpqBq/devWyRRc/qgwJWfevHm6Z00Ou971Ptj69esjnUJ//fVXXItKwleB+wsvYDqpucpfulRnl3/++ciJ4NZbb9Ujz9SgQQOUUWpNmTIF+8Bw7bXXooxS5bvvvsPWNxQvXnzy5Mkojkwrp+YTv2HpArz66qtIe0EbMRmSo4uKBGWXPXv2JLl/S5curVMQJ5100kcffbRmzRr5t2vXrsgNcvJCgkh0Ctu2bUOaMkPIN0/k+s28KTGsJk2aSLUyZcognXKLFy/WReWXdx3yT+D+1luYyOzZyEmBLVt0pvk9eiCnsH79+ukBZypZsuSyZctQTGlyyy23YH8YPv/8c5SRl+bNm2fv53P+nNPKlSt1lGT6AhOmbxo+7bTTkPaItmMyJEc3FBKUXXr27Ck7N953pJokANLDQ/z111/INUiojbLkjnb9NE8qv99JDv3yyy+6f01PPPEEygozP4KLdJp89dVXmbAYfuH9ZtJTlA4JmzkTU3Dpm0Hx0Vk//jiSQcOGDdPjzFSiRIkZM2agmNItPz+/QYMG2DdBFStWzJxnarPPwoULy5cvj21tkLMCih2bNm2ajvv+++8jKyV0po0aNULaO9qeyJAcXWAkKLvo5+UTflmevvVFnHvuucgqbPDgwVqhWLFiyIrf77//LlPgn5cz1llnnaV7WeXl5W3ZsgVlQea3nDZv3oys9LnqqqtkSTLhMafM54fAfd8+HT3/u++Qk2Jbt2L5FyyQ1JdfflmkSBE93FXJkiX5KGRm+vHHH0N21gUXXIAycsmmTZuqVKmC7Wvo1asXiuM3fvx4nUhq3jcnl3M6u7p16yLLU9qYyJAcXWYkKIuYL1lCOn7mA6mvvPIKsgoz38UuzSOyEqITQYIyz6JFi3Qfmfr164eyggJ9DfzLL7+MdLqVKVNGlmfo0KFIUwTe/+T0FKVDYvLyDo47YACSafHjj7oKp556avDg/1uK+wUpAf3798feMrz33nsoo+Qce+yx2KaGq666CmVJmD17tk6tZcuWyPLGhAkTdEape1t2ku2hQRcbCcoiq1atkj3btGlTpOOnz3mLvn37Iquwr7/+WitI6IashBQrVkwmggRlKv0ggEl2+saNG//1r3/J/w855BBUygBmH4q/XsSXehkfuF92mYyYX6sWkulzoHt3WZKNTZvqgSUGufGdJkqZI444AnsuqFSpUqn/4GsUS5cufeaZZ9q3b4/lC6dNmzaPPvrob7/9hnHSqnPnzlgsg7t3h+/evRvTDQQ8uglNgnWdfgK39CQumfbQQpccCcoicrTLnj3vvPOQjp95j0ReXh6yCqtZs6ZWuPLKK5GVkGbNmslE5s2bhzRlquXLl+seD7F69WrUyAwXXnihLNXFF1+MNIWT2YH77t0JjuiR4sVlYY5t2pSf+PGp+fPnh3wjulOnTihLk1WrVjVq1AhLYyhSpEjx4sXl0kLJ2TdksUW1atV+/fVXTCW1Qr7VJ+rWrevR+xObGpfK9erVk1AeuUkz7/GVTW1/es9bCbeHhenyI0FZ5O6775Y9O2zYMKTjl5+fr4eH6NKlC3INr732GsqS/rrTE088IRORXxPSlNkuv/xy3e/6CoHWrVujIJPoEiJB4Xi/dcyzVAJ7olo1GSv///4PybTTF0SWLIkk+ZP9K56vv/46ylJI/1JpatCgwUsvvbRo0SIUh7Ns2TJZ1JC7U2655RYUe08uWTFXQ/Xq1Vd68R00C+srMk4++eRkXmAn7r33XkwrELjhhhuQm0oJt4eF6SogQVmkW7dusmeTfLHSnXfeqUeIKFmypPlc/v3334/cQGDt2rWamTB98et1112HNGW8devWlS1btnjx4rLjnF+2LV26tGvXrp07d3b+9959+/aNGjWqQ4cO5cuXl+uEE0888YUXXoj+Ykp1/vnny7L17NkTabLJ4MBdX8VYvDiSmSG/RYuDS/XRR0iTb4XcOSPsn/P0yIsvvohZBu9kTezltRLEt23bFlPxPnx/+eWXMSdD1apVU/nmU7OPXMlFTlxhx7Rp02rXro2RA4HjjjsOBamXWHtooyuCBGURvTKXUAnpRD344IN6kKjLLrvM+oc7V663Fy5cKJM644wzkCY/0CccGjdujHQs1m+ynnnmmciNqlevXhjB5qabbkKlCPTh7CSfvshuGRy416hxcJQJE5DMEDt3JrIulJHs35k79dRTUeaNjRs3li1bVueVfOexOHDgwI033qgTFDNnzkSBe8aOHYupW8xO5ecULMaPHx9y11CdOnW6desmC7ljxw5UCvrhhx/uuuuuJk2ahLyk8oorrgipmWragCTdhujqIEFZRN8J48q7a1evXm1/Sav95pmE6YcX2rRpgzT5gd6c+c033yAdmT5uYXXWWWehLLLKlSujdlDIi91EixYtUDUC7Vb7+eefkabCMjVw37Yt7lEKy3/33fzmzf+etQ4lS+Z/9hlqJCq/UqWDk+InvrLFwIEDtTUxJfzdk+geeughnX61atWSvLXUznyq1cX3Xf7vf//TaVo5/5qSp2Rjmg/YOXHJJZdMmzYNI6eX2RwlR9cLCcoiRx55pOxZuchHOjlhn3fv378/ipPz559/ytROPvlkpMkPZJc56c9u2bJl8GApJGbgfvXVV6NqIPC45es3O3bssP6J+Pnnn0dBOB999JHUOeqoo5CmwjI1cL///oP1E3vkZc2aQjO1DQcD+iTk//TTwemk8U/t5AHzIUiTu4/b6xdVxATP/oikJ1FRpEiRAwcOIDch+mmVECNHjkRxhvn+++/79evXtWtXaejr1Kkj/x599NHXXHNNhlxjhDLbouToTkGCsoi+Eyb5R88fffRRPUhE2bJlrUmV/N0y8tOT6Vx66aVIU8b76aefZJc1adIE6XCWLFkSPEBg8uTJ5ouwYwbuWk3873//Q5ZFtWrVUByr7XJSJ2d5v130FKWDc1o/sXd5yqWkOUcZrrii4PLL88uVK5R57bWonBidCGWX3377TRsLk1t3zugj/CIFN2mYLSPScdq2bdthhx2mUzDxzadu0tYj6QZEdw0SlEX05rckr/BbtGihR4j49NNPkVtQ8MADDyA3SK72UZCQN998UybC16z5yCmnnCK77OOPP0Y6nBtuuCF4dATuuusuzdGxRPTAXa85RfXq1ZFVmPUlv2PHjkVuOFrH9T9NZwfv233zLBXXOUYqJ/wp5uBLGwtsjyTnr1yZL9NMYGHs2rQ5OIWkHx6iDGS/cybS1wcd0omk6KucQeedd57OVKJwZDmwcePGww8/XEc08X0R7nOlCTKOKyQoi7z//vuyZyV8Rzp+1qcJkWWxY8cOlAUhNyHa1Hz++edIU8arUKGC7LLor9YdMWJEyOP7DgP3kiVLarUonzhs0KCB1on+nOutt94qdWRJkCYL79t9PUXp4Ez+v/99sHKET77FlP/IIwWRXjn0559/L4ylEyJukyfLFPL5KH2WOnDgQMg7Z/Ly8tasWYPieOiTlO3atUM6VcyXwTnpsdi5c2eTJk20vumMM85I8n4bCs9sgpKjuwkJyiJLly6VPXv88ccjHafVq1frsSEivbxvy5YtqFH4RuR4lShRQqaABPmB7nQkHHMSuG/cuFHrCGSFc9ttt6FS1GqTJ0+WCpdccgnSZOH9T072jTk4dOyxByt79EEvY2Hy77wTOYmRiRx6KP5P2Wju3LnauJjivXNG3w5Rv359pFOrR48eMvfisV6oav8AqqwmQ3YPGU0QkonSnYUEZZHt27fLni1VqhTScTIfgi9btiyywmndurVWq1OnDrLipy8MQYIy3p49e2R/lS5dGmnHnATuv/zyi9aRowJZ4XzzzTdaTSArHL18Pfroo5EmC+9/cnqK0sGhkiUPVvbo3iZ9y6QE7knelhfXGpFvhXwmSbz88ssoi0pfZJtAE+miVq1ayTI0a9YM6cJuueWW4Ar97cgjj2TI7jltOpJuPXSXIUHZRb+Pk9ingo877jg9NqJ3NJj3BBZL9K5UjQJjdg1Q5kj4jzlOAvfhw4drneiHhPWzvnIIIddG3+ae3hNoxsrIwD2uyvEyF2bUKOQkBC+FTO8LoSklpAWR635taFSZMmWiv3PGfCuLNFLIShNdjJBPw/bv31/zTbJG69evRzF5ymyCkqM7DgnKLvoSj8TeY33GGWfosVG7dm1khXPZZZdptYRfujdy5EgZ/Y477kCaMp52iv/jH/9A2jEngXvPnj21Tl5eHrIi0Goi+tsatA4SZOH9RjHPUg53gFyBSbgTtcVJirkwSX4ms1u3gxNx/Plf8jv9RqBVlA4trfDtt98inT7r1q3ThdHkU089pUlTsWLFZs2apaWUCmYTlBzdfUhQdpk0aZLs3Fq1aiEdD+uHmaN0HOjt6eLZZ59FVpz0FbdsPXzku+++k112xRVXIO2Yk8D9zDPP1DolS5ZEVgRaTUR/fYLWQYIsvN8o5lnK4Q7Yvv1gzVgf1krQ0qXxLUwUt9wiE8n/8UckKTf8+9//1tbEZP+QRO/evSU/mTtH3XXxxRfL8jRv3jy4vH8rXbr0jzyAU8+lJkh3IhKUdRLev9Y37kkItdf2qob9+/dXqVIFNQKBxO6O0xseeJ+Mv3z99dey16666iqkHXMSuJunmCOPPBJZEWg1sXXrVmSFo3WQIAvvN4qeonRwYvPmgzVPPBFJVx2QWEqX5PrrkZWwhx6S6eQ7+GgwZZ+TTjpJ2xQlEfCyZcu0yLyBL6NuFtdFkuXU/wjvvgNFMWgTJENydD8iQVmna9eusn+feeYZpOMxZMgQPTzUIYcccv7553fv3r1Hjx516tRBbtAnn3yCceKk90VcdtllSJMfzJw5U/baOeecg7RjTgJ389MBDRs2RFYEWk0wcE9M5gXuGzYcrOnSh28KmTYtviWJCu+sfOcdpCnHLF++3Pxbs9IX315zzTXyfzmrabUMoX89r1WrlvybWChArnGpFTp4zLnRlFFmWrZsWTK7+NVXX9XRIylWrNgvv/yC2vHTifBZdn/Rh69OPvlkpB1zErh37NhR65QrVw5ZEWg1EfMedznJIkEW3rf75lnKYQMkV2BSs00bJN0i7Yu5GFG/GebUgw8enNR33yFJOemVV17RBigEihOyatWqSy+9tGjRovqqNfm3du3ao0ePRnGidMF4ok0/syFKju5QJCgb6ZX2+PHjkY7fhx9+2K5dOz1UTF27dk3y8Zsnn3xSppP6z1NQkjZs2CA7LoFnJ5wE7meffbbWcf5wapS3yujTWdEfsM5ZmRe4yxWY1Ez0OfeIKlfGMkR4NV7cbrpJppY/ezaSlMOkLdNmSF144YUoiJ8+7xXJlClTUC9+w4YNkyn069cPaUoXbYhkSI4eEkhQNlq5cmVm7mVdqs2bNyNN/qH7DgnHnATuejknor9gdO3atVpNRHl4+ueff5YKcjGANFl43yLoKUoHJ/buPVizalUk3ZB//PFYAPeepMnv2FEmmL94MdKU2zZu3Fi+fHltjJYsWYLcOOnoqlGjRh07djz99NMbNmyIrKBFixahdpx27dqlU0Ca0kXboqR3BPdmLjj++ONlL/fo0QPpDHDsscfKIp3BD4f7kz7p5OSL2lZOAvdp06ZpHYGscN59911UilrtueeekwoPP/ww0mThfbuvpygdHIqrciz53bv/vQAuvlS7VKmDE/ToK1HkT9LQRP9oXBSnnXZasCk7KOTOP0nqbTPikEMOQW78qlWrJlNI+6vlc53ZHCVHjwckKHvpjk74it1dZnDGZsSnDj/8cNl9a9asQdoZJ4H7ihUrtI6I8u0w80zXoUMHZIVTt25dqfMb37gdTiYG7vi2UUIfjQt1661/z92VCZp0mkSGb7/9VhqahDuizND8zz//RJaF3puotm/fjtw46Z8yH3/8caQpLcwWKTl6MCBB2ev999/PkH194MABXZIvvvgCWeQ3es/kddddh7QzTgJ3oXXE4MGDkWVjnunefvttZIWjdZCgwrzfLnqK0sEhCX2kcqL3G/zt3nv/nvWKFch0i0yzWjX8n6igoFOnTtLQzJkzB+l47Nu3T9spgSwbs71bvnw5suIno/NxnzQzG6Xk6MGABGU17aSsWLEi0mmidwPyFZB+JzuxVKlSSDjjMHA/8sgjtVqkbzA5vE9m06ZNMevkMu+3i56idHDoww+lcn78H/cq5NFH/57v/PnIdMv//d/ByfbqhSSRcSPKrl27kI6H9ZspyLJBcSCwfv16ZMVPRk/4Zh5yh9kuJUcPBiQo25UtW1Z291Guv7bBsTJlysgC1KhRA2nyraJFi8qulOAYaQccBu579+7VaqKXLUDatm0bygKB22+/HbnhdO/eXeq89NJLSFNhGRm4C6mcRHiR/+KLf8902jTkuie/Xr2DU4767QDKNdoeIRE/HV389NNPyLJYvny5lkqbi6yEaLc9XwqZTmbTlBw9HpCgHKA/Xv1eRIo1aNBAZh39bSHkF4888ojszdtuuw3pcPr169ffwvxuV8OGDZEVtNj2fg79y7OqW7fuxx9/vGPHjnnz5ukXu1TMJ7W0mv2jv6QyNXAvXvxg/cTeNjVihDnH/IkTkemi/HxMn8igPQ2HHnoo0vHT10coe7c9CgKBQYMGISsh+lLnFa7fOUbOGa0TkonS4wEJyg260yWKQjoltK89yS4DyhzmswpI28T8epepevXqGMeiZs2aKA4n5l06n3zyiVSL+fnVXOZ9u2+epeI6x7z5ptTPv+UWJJ3buNGcXX6FCgUnnBBlyE/sXuEJEw5OP5Pez0Vpp38EbN68OdIJCTZrMM3ylyJp6TTzlFNOQVai/vnPf8p05s2bhzSlntFAIZkoPSSQoNwgIVfx4sVlv+fl5SX8kLpza9eu1W7+eG+JpgxXr1492a2RXlTw9ddfH2xcHOjUqRPGKezhhx9GjcKuvfZa1IhMa65btw5pssnUwH3//rhHUd999/fsYg35Ue/WikhHX70aSSLjYZrkPyWobZZq0KDBkCFDkHDpxcl33XWXTOrHH39EmlLPbIKSo0cFEpRLmjRponv/hRdeQJYHHnjgAZ3LscceiyzKFvpZD6/vfVq1atXkyZNHjhw5ZcoUuQhEblT//e9/ZcHKlCmDNIWTqYF7QUH+iSfKKPmRXyoU3sKFheYYfbjnHozl3FdfHRzRvQ85UXbQ7zNH6n6Iy3HHHXfwbGlRpEiRsDe+J2Dw4MEywQ8++ABpSj2z/UmOHhtIUI556KGH9ADIy8tzvW9ywYIF2q8vRowYgVzKLq1bt5b9e/XVVyOdGfSoY9dSdJkbuB8ko2TafXVlyx5cqgULkCQK0vesR/+ihEMLFy485JBDtP0ynXbaaShOTv/+/WVqU6dORZpSL+H2sDA9MJCg3LNixYqSJUvqYdC4ceOlS5eiIAm//vqreYNyuXLlNm7ciALKOvn5+bqjM+cZ0AsvvFCWp1GjRkhTBJkduHfsKGPlZ87d5KNGHVyeypWRJDJs3bpVWpw2bdognSj9rJ2SVqxGjRpIBI0dOxb1EnX99dfLdH755RekKfUSbg8L00MCCcpVr7zyih4JavTo0Qm8M2r37t3W6RQrVuzjjz9GGWWvJ554QnZ3hjzAMGvWLD38kKbIMjtwFzqi90/hOKILw1cUkY3eMihhN9Lxs77KvWbNmjt37tT8RYsWyXkUBYHAzTffrPmJOe+882Qiv//+O9KUetqMyJAcPR6QoNz20Ucf6fGgqlevfskll8yP9QGTGTNmXHTRRZUrV8ZoQf/73/9QTDngsMMOk51+/PHHI50+evjxNk4nMj5wHz364IiZcE/5YYfJkiT7WSjKXtruIBE/HV2Efe7e+nJcCeWRGz/9SlQK3kdBESXTHlrowYAEUfCGva5du+qBYWfeVxPWhRdemNjH48jv9AB48MEHkU4HPThdeQFDLsj4wF00by7j5h99NJLpkH/ffQeXoUQJpIls9HGu/Px8pONx++23BxvPQOXIN2JVrVpV6whkxS/J0ckFSbaHBu5KimTTpk2vv/76McccYz5jaidFxx577Ntvv71lyxaMRjlp9erVeki8++67yEqt8uXLy9xr166NNMXifbtvnqWSOcfo6L17I5la+Z99hgXgTTIUWYsWLaT12bBhA9LxCDabB3399dfIslmzZg0qJfFTknFjfrWOvKWNSRI7USV5JBARqdmzZ2t7Mnz4cGSlSpUqVWS+/ChvXHwSuO/ciSl4+dra8H7+GbOePRs5ROEMGjRIGqDHHnsM6XgE28yDkA5n//79qBS1WhTTpk2Tcbt06YI0pYW2J4nuRFMyRwIRkdXnn3+uTcptt92GLI/t3btXH9/i573i5X27b56lkjvH5K9ejYkk8PL1ROV/8glmKv8hikXaoJIlSyIRj2CDedD69euRZbNnzx5USvSndOKJJ8q4MR9ZI29pk5LoTjQlcyQQEYX47bfftFWpX78+sjzzzTff6Lxq1qyJLHLMN4G7yF+2TKeT4BdP4/Xoo1js8eORQxSVtkRIxEO/Ky5atmyJLJvjjz9e6xx66KHIilPRokVldCQoXbRVSXpH6MGABBFR0g4cOGA+xPzZZ58h121nn322zqJbt27Ionh43+6bZylXzjHbt2NSRYrk79+PTC8ccQRmxC94kWO33XabNEYvvfQS0o698cYb2pCJrl27Itfi8ssvR3EgsHDhQuTG4+eff5ZxW7dujTSlizYsMiRHDwYkiIhcon+bFTVr1tyxYwdy3fDyyy/rlMWUKVOQS3HyW+AelF+tmk4wf+BAZLno00+xtHl5BXv2IJPIgbVr10p7VDShz/0eccQR2pypkiVLHnLIIeXLly9VqhSygq6//nqMECd9X++3336LNKWLNi8yJEePBySIiNwzZ84cbWFE5cqVk7/B8qWXXsLkXPrEeC7zZeB+0IAB5mTzJ0xAZpLmzcuvUgWTPfdcZBLFo2LFitIwzU7oUeYHH3xQ27VIJk6ciKpx2rBhg04BaUojo+FCMlHcoUTkqVdeeUVvsBQlS5a8++67433Z/6pVq5o2bapTEHJ+XLNmDcooUb4N3FWjRn9PfPRoZCbgyy//nk65cgWbNyOfKE5Lly6V5inh29DF//73vwsvvPDYY4+tVatWvXr15D8333xzYrfHmLTp5GfMM4LZ1CQneB5k4E5E3ho7dmyZMmW0wVHt2rXr3bv3Rx99tG7dOlQyLF68+NVXX73mmmuqV6+O2kGnn346Q3a3+DxwFytXFpQv//csGjQ4GME7uf39wIGCKVPyg193wlC8eMEvv6CUKFGVKlWSdmrcuHFIp9uSJUu06Uzs41DkMrPBSY7uUySIiDx2+eWX69nNufr160vcj/HJJf4P3NXmzQXXXFNoXjKULVvQqVPBXXcdHP7v//Cff/wjv0KF0JpnnZW/YAEmRZQcvdNdIJ1uujAzZsxAmtLLbHaSo7sVCSKiVJk5c+Ybb7xx6aWXSlyuDZGqWLFiixYtBgwYMGnSpOXLl6M2uS1bAnfTzp35115bULVqofmGHSpUyO/atWDpUoxI5J6LLrpIWrHmzZsjnT76Opq6desiTWlnNkHJCZ4oGbgTEeWWrAvcrXbvzl+yJP+XXwpmzCgYOvTgv7NmFSxcWODq642IwtK34T7++ONIp8OXX36p4d2BAweQRWnnUnuoexYJIiLKDVkduBOlj8TKGlpNmzYNWam1bds2XYCl/LNSRnGpPdSdiwQREeUGBu5EXvn66681ulq9ejWyUmXfvn066/R2+VMYLrWHun+RICKi3MDAnchDb731lgZYv6TwhUV79+7VmSb8tSbykEvtoe5iJIiIKDcwcCfy1r///W+Nsd577z1keWnWrFk6u8svvxxZlFFcag91LyNBRES5gYE7kec+/fRTDbOOP/54ZHnjhhtu0Bk98sgjyKJM41J7qDsaCSIiyg0M3IlS4a+//tJIS/z444/Idc+WLVvKlSun0//uu++QSxnIpfZQ9zUSRESUGxi4E6XOUUcdpfFWw4YNN2zYgNzk7N69u0uXLjrZatWqIZcylkvtoe5xJIiIKDcwcCdKqTlz5mjIJSSO37NnDwoScswxx2BagcDHH3+MXMpkLrWHutORICKi3MDAnSgNhg0bpoGX6tOnz4IFC1AWy/r16x9++GGMGfTAAw+gjDKfS+2h7nokiIgoNzBwJ0qbL774ombNmhqBmVq3bv3UU0/NDVq+fLn+54UXXmjXrh1qGCpVqvTqq69iWuQXLrWHegwgQUREuYGBO1Ga7dmz57///e/hhx+uoVhMVatWHTVq1JYtWzA++YtL7aEeDEgQEVFuYOBOlFkWL178yiuv3HfffTfddFOnTp3k3z59+rz44ovz5s1DDfI1l9pDBu5ERDmIgTsRUQq51B4ycCciykEM3ImIUsil9pCBOxFRDmLgTkSUQi61hwzciYhyEAN3IqIUcqk9ZOBORJSDGLgTEaWQS+0hA3ciohzEwJ2IKIVcag8ZuBMR5aDUBu4cOHDgwEGH5DBwJyLKQQzcOXDgwCEdQ3IYuBMR5SAG7hw4cOCQjiE5DNyJiHIQ230iIv9h4E5ElIPY7hMR+Q8DdyKiHMR2n4jIfxi4ExHlILb7RET+w8CdiCgHsd0nIvIfBu5ERDmI7T4Rkf8wcCciykFs94mI/IeBOxFRDmK7T0TkPwzciYhyENt9IiL/YeBORJSD2O4TEfkPA3ciohzEdp+IyH8YuBMR5SC2+0RE/sPAnYgoB7HdJyLyHwbuREQ5iO0+EZH/MHAnIspBbPeJiPyHgTsRUQ5iu09E5D8M3ImIchDbfSIi/2HgTkSUg9juExH5DwN3IqIcxHafiMh/GLgTEeUgtvtERP7DwJ2IKAex3Sci8h8G7kREOYjtPhGR/zBwJyLKQWz3iYj8h4E7EVEOYrtPROQ/DNyJiHIQ230iIv9h4E5ElIPY7hMR+Q8DdyKiHMR2n4jIfxi4ExHlILb7RET+w8CdiCgHsd0nIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERD7AwJ2IiIiIyAcYuBMRERER+QADdyIiIiIiH2DgTkRERETkAwzciYiIiIh8gIE7EREREZEPMHAnIiIiIvIBBu5ERERERERERERERC5ghzsRERERERERERERkQvY4U5ERERERERERERE5AJ2uBMRERERERERERERuYAd7kRERERERERERERELmCHOxERERERERERERGRC9jhTkRERERERERERETkAna4ExERERERERERERG5gB3uREREREREREREREQuYIc7EREREREREREREZEL2OFOREREREREREREROQCdrgTEREREREREREREbmAHe5ERERERERERERERC5ghzsRERERERERERERkQvY4U5ERERERERERERE5AJ2uBMRERERERERERERuYAd7kRERERERERERERELmCHOxERERERERERERGRC9jhTkRERERERERERETkAna4ExERERERERERERG5gB3uREREREREREREREQuYIc7EREREREREREREZEL2OFOREREREREREREROQCdrgTEREREREREREREbmAHe5ERERERJ4LFIZcIiIiIiLKLoz1iYiIiIg8h452A3KJiIiIiCi7MNYnIiIiIvIcOtoNyCUiIiIiouzCWJ+IiIiIyHPoaDcgl4iIiIiIsgtjfSIiIiIiz6Gj3YBcIiIiIiLKLoz1iYiIiIg8h452A3KJiIiIiCi7MNYnIiIiIvIcOtoNyCUiIiIiouzCWJ+IiIiIyHPoaDcgl4iIiIiIsgtjfSIiIiIiz6Gj3YBcIiIiIiLKLoz1iYiIiIg8h452A3KJiIiIiCi7MNYnIiIiIvIcOtoNyCUiIiIiouzCWJ+IiIiIyHPoaDcgl4iIiIiIsgtjfUqzyZMnL1myBAkiIiKiLIWOdgNyiTy2a9cuibeRICIiIiLvMdantMHlpqFnz54oICIiIso6iHgMyCXyzJIlS3C0GVBARERERF7Kkqirf//+iCIjK1Wq1NSpUzECZQDsGIMvOtwHDhyIxfUAbz5KhpNGoEKFCsOHD8cIlCYTJ07E/jD06tULZUREWQ2tngG5PrFkyZIaNWpg0SPj/RMZxacd7lhWb2AeFL9Zs2Y1bdoU2zGybt267dq1C+OQ92Rr9+jRA1s/sg4dOmAEIiJKCX/HHK1atcIJJE6bNm3CJCh9sDMMvrhCw7J6g2FQvJL8+4dcNmBC5L1BgwZhu9uwd4aIcgRaPQNyM5vEzFjcOJUqVQqToPRhh7sd5kHO7Nq1S37L2Hbxa9q0KSZEbpMrR2zlOFWoUAGTICIiL/k15rCHj2rMmDGoYdGzZ08UGwYOHIgySh/sDIMvOt0k6JTgJiaskkHiVBREhXn4h/2XhQLv1a9fH7O0kaJBgwaZjwvIf4YPHx7pprxu3bppNfKIkycP2OFORDkCrZ4BuRksbEdbu3bt7HeuTJw40V4ZZZQ+Pu1w7927N4LjyOz3XaEgqlGjRmEe/oHVM8g+RYHHIl1uK9lHEmNrU6AfCYhyk7VOkFyELVuYXO8MHTp01apVWkd2ilzpoMyGNx4REXnNl+c/+702cnZBWSwSZkl9PuaWCXTfmbKp0w2rZKhfvz4KsktaOtztLyQRzlsAMXXqVIwW7DVALrkq0kWXBvdIGNjhTkQ5Aq2eAbmZyt6B7vwJUYl8WrVqhQSlj0873J2YPHkyVsmAgqyD1TOkpsMdMyts3LhxKHbA+vIZZJF7zHuPhg4diqyoevfurfWtUEZERN7wZTuLU4QFCshXsPMM7HD3ndR3uNtvVC/FJ9YzEnZPkP3PISgwsMOdiHIEWj0DcjMVltIQV18bZQh2uGcBrJ7B6w73Xbt2YU4WEydORDH5lvWWI8UX/hARecqXoQlOERYo8JI+Kzdw4MBu3brJv0KSKPPArFmzBg0a1KFDB5lRXJ95nD9/vjmip0s4atQomUWPHj0SnhF2niHhTjdz1+jCyObydMWdwCoZku9wlzUaM2aMrJ0efpI0nxZMksReMkHrlFHgQIo73O0PRXbu3BllKSEbRw97ma/8O3ToUBevecaNG2dOWX7CruzfNP40oj+1jf1nYIc7EeUItHoG5GYkiTqwlIbUvH/A01OtnfUsKRERch3QEfv37y9LGNeIcdEgTTeFzDGB2MDFDndZAI9i0cTIAmCVDChIlKdRUzJhHlbP4HWHO2ZjgYKU8PSKO5mrnihkOhn104gCe9QCBURE5AFfNrL2R1zj6pJ2Qk6TYV9bGYXzd1NgBANyI7wrI0TYj5zoe3Kic/51FIxgQG5wmyArKud3HGMEQ1ydbh3i+UpM6m/KwIwNCXS4y2UtRnYgrtsTJJDFaA6E9Jkm/Jni5K8NJHjFtAxef/CnV69emJNjcYXXYR/tjATjOJDhPw2F2RvY4U5EOQKtngG5mQpLaYEC93h3qg3paB5o+XqT/Wk5u7B96BJ4oDiysF+TsgtZPGvHX+fOnZEbVZS/alsl0+HuXSzqCntkiIJ4eBc1JRPmITd+GD8JmJCFXDigzAOeXnGLZK56osjwn0YUWCaDHP8oICIiD7gfOqcGzhKFOX+zZHSYXEKcnLdQ1SA58fZjdjO+9Ogk9LcyR4wCVQ2Sk1g3q04tCtQzOOl0s7++3ySXT7Lxra8LDCEXMJiK9zBLQ1wd7lG2tqygQCIcTCIy1LOJMmWMGZTAhbFKPljHhCxQ4IF4Q/8QmEpkka7BZL6RdoS1pyAsv/w0FGZsYIc7EeUItHoG5Gaqdu3aYUEtnESSTnh9qrV3uNu7nmPSScXVuaZ0xCjsHe4O72sJEfOWo8Q63D2NRd2STIe7p1FT9DAv7LYNCfOQG6fk70SZP38+pmXo0aMHyjyAeSREtiSmEhmq2hw8gh1c9YTli59GJPamzPqnPiIicl36m/6E4UQRTjKPdlrjXSc3ztvPrBJmoSwC1AsnUgyH4sicjxizbwv1wokSyYW9KkNZBKhkiLlg9thX4gaUhRM2mEaZxzAzg8MOd/tdGDFDZ/vhF+XLOahhiHmfTv/+/aPflCG7DNMyoMBt9l0p8S7KPIB5OPsWa9h7Z1AWjlxToZIBBRHIusthEP0vFj76aSjM0sAOdyLKEWj1DMjNYPYTvSnJr45jKt6cakX07vWwt8mPGzcOxZE5HxFlEURfvEgRWtjTd/SIKN4Od69jURcl3OHuadTkRZiHCRlkn6LAbZiBBQo84PUVNyoZkr/q8dFPIxIshAUKiIjIG/5uZ8MGQCFScGKz38iAgghQqbCYy9k5whOmCYyIgghQqTCHPWKobYGCcFDDEH0Wcj2GekHO7xkPGbFUSr6xiZkZnCytPYyLHnyb7CPK7wJlFiGXJa5sh5R1uNtfmuT8qc/UwGIZBg0ahAIb1DA43MtR+OunoTBLAzvciShHoNUzIDfj2buNQsgJJfnTWUyYmSHKqVZE6tFGcWSoZ4PiyFDPEP0PEgkvnrBHX1GuBeLqcPc6FnVXYh3uXkdNKDa48rvAtAzZ0eGeAOdX3K5f9fjrpxEWZm+BAiIi8kyWNLUSaOLUEZV3ZzjMwIDcCFDJEP3P6VYYweD8Jl+MYIjeWYlKBueRqLBHFVHuPkANQ5RON3t/KwqcwTgG5HoJczI42Yaoaoh+r02IkAA0bFgZ1xWXQynrcLfPyLuLjcTILsaSBUX5UaOGIclb9X3301CYn4Ed7kSUI9DqGZDrExLjhfQ5hhXzhRsJc36qFfawx+FVQDfbF9od9qzZ/yyBgnDsixdXYCORHkYzoMAmrvAPNQyux6LuSqDDPQVRE8oMrjyRiWkZvIuBMQMLFGQMLJYBuTZxHfZOYCqGDP9phLBfnqd+GYiIclPGnUeTZ3+UL4TzDm7nMGkDciNAJYPzziaMYAh5318UGMEQfURUMsTbF4bRLFBgg2JDlBmhhsHhB6lMGM3gfLslDHMyxOxwT/ipWOUwrKwQ7o3/cYWMIez94Chwm31GssVQlhlCLrOj7HG54EclCxkdxXHC+IbM/2kozM8QbyNDRORTaPUMyPUhOZeFDSqsXO8WdH6qFQn3uE2cOBEjGFAQS1yduUl2CNpHj/Q6TeczSk0s6qIEFhj1DF5ETe6GeQpTMcimRoHbMAMLFGQMLJYBueG4eNXju5+Glf1J9+g33hERkYsy7jzqruHDh+PcYhPXGVfOTPb7VqLAaBGgksF5ZxNGMGRmh7t9Q6HABsWGKDNCDZckGfU6gTkZYna4R3pfUMIwXRv7ZaRVvF9GsveDo8Bt9ovY6A+Su27VqlW9e/d2cmefirnHUS+CmC+aNGEEl6Tgp6EwPwM73IkoR6DVMyDX/6J0vqOGA+6eahPu5Ep4xLh65ZLvg8NohkixvfMZpSwWdUvyHe5JihI1oUYEzsM8hdEMsk9R4DbMwAIFqeLuFbdbVz2++2ko+29foIyIiFIiV5pdCcpxnrGI8mxp2NsTnMNUIkAlQ5Z1uMvEMaYBBTYoNqSswz2Ze7odwpwMSXa/xsvJc4KtIn9kXzl5BjZlHe72ZyEFyjyTTHgdc48r+7Wi3fz581E7HFRySQp+GgrzM7DDnYhyBFo9A3KzRdj+HYHicLw71Sbco53wiOntcI90JnU+IxS7JDNfKYN6LokZNSUf5ilUNcg+RYHbZK9hHgYni5cMT6+4TUle9aCSS1Lw0wh73eTdYUNERJHEHd7515gxY3DCMYT9tnjYU5SI/v10VDIgNwJUMjjvbMIIhszscO/RowfGNKDABsWGKDNCDUPmRwxYUEPM7lfnjwV4wf7TsEKlcGSXoZIBBR7ADCxWrVqFMre1a9cO87CQzCgHXsgedNjhHiJKv0OvXr1QqTAUG/wSTGNxDfE2MkREPoVWz4Dc7IJ1s0BBYV6famU6qGdAQSwJj5jeDvdIr4lwPqP0xqIJSL7DPcrB5oUEwjyFSgbvFtt+tHjXO5yCK+6wErjq8ddPA4towXfIEBGlS6bHUu7CaccCBQb7ub935G9+WqG2AbkRoJIhyzrcMZoh7F81FGoYnHe4O9wpaYQFNcTsfrV/9RcFKRf2+8Mos0llh/v8+fMxDwuUucr+MDsKonKlw90KE7KQ6zSUWaDMkPk/DYXFNbDDnYhyBFo9A3Kzi/1JR/tNsik41Sbco53wiKnscHf+onnnM8qcWNSh5Dvc0xg1YQkswoZ5CjUMsk9R4AHMw8KLrZSaK+6YHF71+OWngYWzYIBNRJRemR5LuQsnH4ME7igw2J84Q0EsqG1AbgSoZHB+LsQIhtR0uMf1jdlx48ZhNEOURxFRwxBlO0gQhkoGFGQqLKXBSfcrqhpS/I7yEFgIQ6SF6dWrF2oYUOAN+zW8QJl7MF2DXBKgICrXO9yFk8tp3/00FJbVwOsBIsoRaPUMyM0ucgbE6hlQYIECgxenWt91uEd50aUdxrFAgU1cq4MahvTGojEl0OGeUVGT87+aoNggK44Cb2A2FvZL5iSl5orbIUzLEPawR5kh034aWCyLdu3aoYyIiNInnXFGYiRUSqwzC+cfCxRYOLlIsIs3aEAlQ4Z3uCsn85o1axZqG6J31qOSIfp2QCULFGQkLKLByRFr/1uF5KAs5bAEhkgfd7J/yxQFnrF38YsoT1FEYX7hDWmDZpqc7AX7CygTa6NCTJ06FZMzoKAwlFmgIINhQQ3scCeiHIFWz4DcjCSLF/3dDmHZOzTDtvAoM3hxqvVdh7tCcVT2F22jIJy4ViejYtGYEuhwF6hqgYKUcxjmCRQbor9/xhWYU2EJfOnHvFII+aNaaq64HcK0DGGvejL2p2FvDVy5BiEiIlekLchIGE4mhphfGI8rorW/tiL6q+vMPrsQKI4AlQy+6HBXUU7hqGERsxsU9QwxtwPqWUT/xI2VBLUakSDtMV08k8PQR/YLRrBwHt3KBpT6NWrUQLownVqkUiutaYWCcFDD4N2rHk32p1BNnTt3jn6DmG6iECgzINciyi6wx98q0h43F2Do0KHIimD48OFa0zRmzBiU2aCGRcb+NJQupMl5G0hE5Gto9QzIzTz2P6jHvKk27Pupu3XrhuLCUGzh4qlW+bTDXUXqywsbxkT/pE28q+NpLOquxDrcBWpbuBU1eRTm2T94EOlWGBc1bdoUM7OJ/k5wWTbdRFYhDYjXV9xa6u5VT6b9NOw7KLE7kIiIyDtOQ5PMYf/jdryi3xcQKayPLuQcjGlFgEoG551NGMEQvd/cCiMYoo+ISoawwX1MTj7PgqoGJ9sh7A3OcYl5xegKzMwQ170GGCcJmFBhKIsfxo8gbPRp5zwedch+p1tiwj7GjrJ4yC7G/4JidrjHK+Zxm2k/DUw0aZgcEVFWQNNmQG5GwiImAROKAJXi4fBUq3zX4W7vgXUCk4sssdVB1SRgQl6Ka4OH8Chq8i7MQ71YUNs9yV93i7CvN/H0ihvF8cP4kaFeEjCh5CR8pIXl/A9OREQUF/dPzKlhv/Umprj+6mt/JDYs8/wUsjyaGQkqGZx0NCuMYEhZh7vmOzy1R3lpewiMYHC+HTZt2hTpTofoXO/2jQTzM8TV4a4cdmSHiHQrmbLfbxJFXO/+wziRoZ4HZJ9iHo7JwRP9djAR5T76EFOnTtVRkA6KsscHDRqESs44/0GJzPlpYLpJw+SIiLICmjYDcjNYSB+3E87fbuzdqVb4rsNd8x3eT+A8SEt4dYQXsaiLkulwV15ETd6FeTH/SODpgwVhH2GJrn///hg5Mu+uuL276hFp/2nEe5hFxw53IiKPxB2aZLIxY8bI+U8MHz5cgjAJMVGQNJmaTFOmHPMGhCyAc68hbD+4RKiyKXSDhL1HOPVkSSQI00USyM0icrUp6yUrKDGW/Cdml3FM8gPRCepGM69mk6TL6eIEE6PLIJLfUMLcVtLIxNUD7oRMeeLEiTJxbbiQ6x6ZZnb/NIiI/AKhlQG5viLnkYNxQ5C7pxVPT7WZxmE/uGwQifo8Cg8S4HosmoFkvdyNmmQiXoR5waU7COl00OtBhazkyHQ8uuL26KrHlAs/DSIiildWdbiTKxD4G5zfeE5EREREkSC0MiCXco/DDnciIiIi8imGdxQKgb+BHe5EREREyUNoZUAu5R52uBMRERFlN4Z3FAqBv4Ed7kRERETJQ2hlQC7lHna4ExEREWU3hncUCoG/gR3uRERERMlDaGVALuUedrgTERERZTeGdxQKgb+BHe5EREREyUNoZUAu5R52uBMRERFlN4Z3RERERESeQ9+qAblERERERJRdGOsTEREREXkOHe0G5BIRERERUXZhrE9ERERE5Dl0tBuQS0RERERE2YWxPhERERGR59DRbkAuERERERFlF8b6RERERESeQ0e7AblERERERJRdGOsTEREREXkOHe0G5BIRERERUXZhrE9ERERE5Dl0tBuQS0RERERE2YWxPhERERGR59DRbkAuERERERFlF8b6RERERESeQ0e7AblERERERJRdGOsTEREREXkOHe0G5GaFVatWDQyaPHkyshKCTRP/xhk1apSO2KFDB2Slgy6DQJrIGzjO4jnSJk6cqKN07twZWd6TBkFI+4B0ZFpz06ZNSKfEkiVLdJvUr18fWSkna+1K40lERJkmG8LBXbt2devWTcJriR6cnM4jkfOcnnF79uyJLMd0RIF0OiSz/ETOJXZNq6MIpL0nyxkMXwfGjN3HjRunNZFOFWyR1LYbsllkx2HGgUCvXr2kCUUZERF5CS2vAbn+N2bMGKxSUI0aNVAQP0wi/o3DDnfKKTjO4jnS6tevj3FSdXxiZoZBgwahwMbs+BbISon0drjLFYrO3cQ+dyKibJIN4SBOUAbkxm8gO9yJHEiywz2Zv4o5Z+1TVigIBzVS/vvFXFMyX8wpslKlSqEqERF5Aw2uAbn+p6tToUIFOZXo/yVUQFmcdHSBtGPscKecguMss480LGIwyNT/9OjRA2WF5WCH+7hx43TWQ4cO1f8IdrgTEWUT34eD5vl71apV+h+Bsjixw53IiQy5po3O7HAfNGiQ/kegzAbFKf/9Yq4pma/MRS4qkChMl0Ehi4iIPICm1oBcn8PKGKuDRKJrh5ELjy7nr8mTJ0+dOhXpcOIKTmRqCmnH5s+fH31EXQaBdJx04iKuh890FFk2pJ3RsQTSbsAUE3oxiI6IhAPx1k+GzitSHGVyUk3rCKSdsY+C48zLZkSP9lmzZiEdPyxicCHNa/ZWrVppqZXZ8S2QFZluDRHvYSbroiMiHU+Hu7ZCwpWX3nTr1k3nq0eL/l9Yl42IiPzOw5N0CphdzGPGjJGkeepKrB8wbIe1+a6J6Oc/HVEgHYGcU3VqYuLEich1RhYg+ohSpMuQQIe7hPXDhw/X6QvkOoAR4nzrnDkvF6MK2Sw6TRHXJYes+6BBg3REJzdfx1s/SRIaOpmXk2oJbHZzZa0Pgaagw9082hOO8s0Od5lIzL/GocxBiJ/wYWaukbW/AHONNV8ZRccVHh1yWA4HW4CIiBKGptaAXD/r0aOHrot5dpP/aI7QnLhgzOC4+F849v7o6MGJtTsvElS1sf7l3k6uPlAvCLm2qZkXKUK72JT15tawIj1/1q5dO9SIKiRsqFChAgrCSeyWnaZNm2L8CGTXoKoNakSAShYoiACVgiRk0sxIK2UeEvaeVs0Xcpjhfxao5LiaSGyzW4+ZEDIK/hduK0US5Tei+cL6/xCRDsUoMKaxkDVq1NCk/a1T1l8osgrz6DCLchgIuQzR0khQL07m3x6Qtiyhi5fGRESUdgmeJzKBGdxIEIMsy+kq+l0wYVkjsygndSnCCBYoi3DeRVlk/fv3R9XCYl4eoF5QpMhy/vz5mi9CipAbWdizvvVSKoqQWErWEQUR2K+dYjJXOQpUtWnVqhVqhBNy+STiqo/cyHNHsa2CuUbyfzMaM2kd4bCaSGyzR48vzYvDuDrcdRSBtMG6LhLs6v/txo0bp/Udsna4S9La525fZRTYlk0lc5hFucTq3Lkz/hdhdJRF4OIHr6y7G1lEROQBNLUG5PqWGaaG3LJqhkwJnKp0RGXv4LOesEICAyediWFvrbW+RtneZ4eCCLG6nsqRCNLKAmnLiyOEbDHkGiSmst7TYGX2t9q3g+YL5yFN9D+EJBYJWMcKe9uvNa5DlsH6lwZkWWjYZt1c8dY3g7dI3dnm0Rulw10h1wbFBuQWlvBmR264xevVqxfKgpDrgJPfiLAfbzFD1kgwjmUss3EImYu5OwSyDMkcZuYqC/uvDwVBUQ6DsPe6oSz+KxSMVnhRkcUOdyKi7BLfWTOj4LxkO7Mi15YfU0i3mv1O0iinc+Ta8q3TRFZh1m5cZBmixNlC/96ARFDYyFJzRNhwM1JHv8BokdfI3iVtxpT26xnNF0gXhrI4QxaMY/SohrBePtkni4JAQGI4ZFnItgr5swpqx18faRsUR968KtLfjRxWQ3Gcm928W00gy0KORpS53eGu7JE0CuL8K1pIh7vQn4wK+XUjN9z6oiC5w6x3797IMgwfPhxlQcg1mFeVYbsGolyeJQbTSuiPXkRE5BxaWwNyfQurEfXsGe97TjBa5I0TqWMuUmeiGQ/YA1crrSOQDjKj9LAxQFhaX8j/rX/st3f2OYGRbVtDM9u1a4e0xeTJk7U0ZJk1UyBtI9GsVkhsZSOJtP01UyAdC2o7ri9rofXDXgEJJx3u0TcFKkWthhpxbnYzM2wcqLSCQNoBJx3uSNugOJ7ZCYxTeCzzClcgK2qHO3KjzjrhwyzSYWBeDelj9GFpBYG0A1o/yp/Q2OFORJRN4jhDZBTzDnR7B6j1wU9kORMzMhNaQYScDpGbUIhgPl5n7ZWzdg4iK5aQ5df/iyirE4UZDIXc7KOZAunCUFa41FxB+98wTFpBIB2LeePw0KFDkWUTaRuaXcYO+/fjrS+0vkDaBsW2CuZODPtXFpOTaglvdmRFXvgo8XoUOopA2hDzdyeRrlawXxFFYUbeMn1kBWmmsDYdyLItWzKHmfn3uV69eiHLRisIpA3IjbwLzJ9nlAVzwtoXgCwiIvIMGlwDcv3JjI7ChhkJxLEK40QdCzUK14kUnGimQDoCVCoc4SMrnlXACBZhu8XDkojFjF5CoIYBueEWDAWFiySCRa4DDqM784LL/noQq7AdqeaNBQ7nFW99ETO8dNLhjnQEqBS5WsKbHVkRbuhWqBFrIa0ypMNdyDUvCoyiSB3uyRxm0R8vUJEOA810CONEZc4o5E8CSosEO9yJiLKJozNEppk4caKekyKFsOY1QJQ7uO1iRmbCfEFHyEOymimQDpLpaGb0J2rNW1EEsixPCyYQWZqrL5zcsip1zEW1C+lwN+div+fCvBcg0sZxAuPEgtqx6qNS4atBZLk9LyuMEHkUFNsqODkIhZNqWsEhjGO58zpKXJviDvcoV0RRyLLpWDJ9ZBk0X5h/QUHatmzIjbwfFSrFf5ihRuE65gZxIvpxEp3ZUMS1H4mIKGHa6pqQ60PRX2seIsrNAXYYJ/6zZ6Z1uMv/ra/1i9Rzar0KEBIDyIpIpkKubQGsD9iFhXoGc+NEuWM6Xma4Ej08C/unfXPLOAzt4q0vkgkvNV8gHQEqRa6W8GbXsQTS4aBGrIW0ihLAa75A2gbF8cxOYJxwY5l/RBGSDNtjLpI5zKL8gkwxO9yRThom51ikb7YREZGPuHYWSSWciJxx0uOsYkZmwvyDvJNoXqajmdE73M2/HwhkWcZ13qEWsvz6fxElQEGNIIllJS5BgWUBJDhDlkHzI7HHByhwL2QRmGKsaaJS4WrIcrw8qB3P8mOEyKOg2FbByUEonFTTCgJpZ8xYPIs73IUWCb1DHAnbsiE31jZEpcLVkBV1XNQoXMfcINHbjWTIltRZxNUJQkRESdK214RcH8IKOD4/RnpNuR1GiDxla18zsoIiBSeaKaIvAyoVniayor5WIgRGsEwH6XBhTMw7cFFWuNS8cDCvcebPny8xvMRLmgxLRxFIJy3SjghhPpNnDfPCdo9GEW99YR4PkTq7U9DhLlDD8WIr84u47sb5UQJ4zRdI26A4zhXBOBHGsj4BIEn8r3DlZA4zoZkCaZtIh4H5kKv16jgZOjXn5MIcYxIRkW9FO3VlJpyFYr3Q2QwpBLJiiasTM+RVNsgtPC/zFC6QFY756g9ZZmQl9Jpm+/Jb7x2wR+EoiDB9mYiWWpdKaGZcPa3mjbTxvsczCp2g0A7TsCI9zowsxyEUascTcmGEyPsOxbYKTg5C4aRawptdxxJI20SJ16PQUQTShpjrEuWKKIroHe5CS0XILTZWyE3oMDMjdfsL3E1aQSAdFGmCrpDLTkzag4kTEVF0aH8NyPUbLH3U912YUNXxyqJ2UNh3sqHMFoo76UyM1G+OYts0rWfkkCKlIQQSQVpZIB0UKSCPfrXSOcKXKq2PFzi/DdbskXTxb+0xg4oonwUyL38iLY/kW9cu3vpC6wvrA4jK+k17TzvcE97sOpYIuRATcj2CsiDkOuDkN4K0DYrjmZ3AOJHHsl7wmlBmSOYwM19CK5Bl4fAwsF9Euw5zinyxqevo3b04RETkhYjnv8xkvmgl5BuVYZkn0Sj36lqZHX/KHpxJqKRF9glqvkDaEDNEMBfSfpo3i8KGaNoLae1LjdRxqZkiZDrIDfcQgHnvjAiJ85AbNHz4cAkLIkUGVhghzu9eRocpRugMjfIXC+vlU9gLFb2vBIn46wvZm1rfvu+sby0UyDU46UkXDqtpHRHXZjcvaQSyDNZNIXzd4S7MX7QJBRYoSO4ws49rNmUKuQbz8kwaAWQlLdJ1e0zmDnJ+fx8REYWlzakJub5iRrZyqkJWVNbeYWRFharBP1fjf+HYY9conYnC2rMWVpQTLmpEEDIicsOtLAoKB4cS/CA3HPNOZ9S20PzoUNVgBlTRobYz1kuGSMIGz8IMMCIJuRaLt771vng7M07ztMNdJLzZURCOHOTm1kBtBzKww12EXFwIFFgkc5iFhNwhzDvow15lmBd0Udj/IpIATCtCh7v5OSsR5bqGiIgyTXxnzfRy+EyZFWo76yqyBi76n7DCTgpl4RYs7J/uQ9gvG5QZGEWCekHm8ts7Lq3TsZ7IkRWO+ZSfPYyw/hUhEnsPo5OxnPTdW8UMg6LcCIAaEdhHREEE9vpRlk02qdkdjNqGKDvRymE1kdhmN6cfllTQ/4S9po1ERxFIG2Kui3cd7iJkNyG3MI8OMzkMzMts1LZw96o45ipYYRwDcoOQRURECUFjakCur0hYK2GD/Iu0AzqKPdgISytbe041ahK9evWKfk+9k7lMnTpVTr46wf79+8e1IoMGDdIRe/fuHWlEOX3LMkS60UEC/kgLKasp4YROHFlBUjlkXuaNEVHmohUEsmzMrSokUgq7SPGS6WCKHTo4f4mQkBXs0aOH8xHjrW+urOxx6zWXTEdW3H4VFn0nmhxWs0pgs8tvQQ4JqS+HR8hFqIzuZApWkUaJuS5RDt0o9GVHDp+1dTj9hA+z4cOH61ghlway1jLfkL/WhJDtY85XdoT8337YJENatuirrwvg4sPiRESUAuxAiUHOfHJ6kzO0k8dmY5IzukQGMsGhQ4fGe8qcOHGijCije3GulSkLiQKRjkACUw3fI32uVpg344RcMFjpVtU5hlxFJMycZpRgJSzZKXGNGG99c8e5cgglI4HNHu/KZj1zG8a7QfQwkC2fwGEgO0tnKtKyI9J+6BIRZQcNkEzIJYoHjp6oxw9q8BgjIiIiShPGYRQHBO+Rb8kX5i3VMbvviYiIiHKHBkgm5BLFw/rUWqlSpfSP8SrkPTwYgYiIiIhSjqEYxWFX4bfs1ahRQ++6FZ0tb4gWkd6jR0RERJSbECQZkEsUP4nJzRfTWXXo0CH6yzGIiIiIKAUY61MilixZYn7X0SRxv+SjBhERERFZIGAyIJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyc8aYMWN0xTt06IAsil/qN+PAgQN1jiZZBpQFxayQxbDCWfFzxprwb4GUMSpUqICD0oACIiI/yKE2C400m+nkYCOmajMuWbIE87NAWVDMClksmy5ceRFOmaZVq1Z6TJpyp/uAiDyC1sSAXP+YOHEiFj0eq1at0tFHjRqlOTzXJyPFm1HnJTp37qw5/fv3Hzp0qP5foDhyheyGlc+Kqw+sSc5cSXmnZ8+e2JQ2El6iEkUlzQg2WSAwefJkyZk1a1bTpk211DkZBVMJBJYsWYLcyMaNG4faNlKESkREzvjphIqmLh7169fHyIwhXIKNmJLN2K5dO51XqVKlkBWMYPA/BxWyWzZduPIi3Du6YU3IpaiwsQIBOTI1Z+LEiRLo6/8d6t27N6YShNzINm3ahKrhoBIR+Rl+zwbk+h/WJ9YaZdq5Xi4TdHmc9MIkwKPpp3Izmn1ekaLrmBVSw+tdGYXOVyDtZ1gThhzJ0W1YoUIF69EYEuP5pesWi5uOQwIzTnTW9lvjRfT2YerUqagXCEgMj9wgs4UR5p+QiYhi8v0JFS2fpVskEtTLmBgCS+PZ8mDqbk8fE03JZsScIs8Lxenep1iIlC9GNnVSZ9O6ZBTdqlYoyHhY3HQssByEOuuYp5WwOnfurKOHQHEEqGS79Wn+/PkoCEIuEfkTfskG5Pof1ifWGmXauZ4d7jHFPCEmecZ0CzvcXYE1YbDhmW7dumET+2QjY1nTsbSYcfyzNt9wpffFC02KKO2DNd5Glg2K+QMhIsd8316g2WOHuw2m7vb0MdGUbEbMKfK8UJzufYqFSPliZNqFazKyaV0yxK5du3ST1qhRQ5L6f6GlmQ+Lm44FTua6XUeUWF+T5oEtNCcs1AgEZK8hq7BSpUppBT6JTORr+kM2Idf/sD6x1ijkXB/yB0U1depUrRyJnNRQ1aJdu3YodiDk8SM71LOw3vloJY3zpk2bUMkQ1/Sl2Tef1wzRrVs3VCossZAprhlZT152Mt+YFTAhQ2J7rVevXqhqYT0PJrArhw8fjrLCoh94YV+mpKMgEc/P2XyPooYZif0QIu3N/v37o0YEyaxLAlvPXFmrChUqoNixKIdcpDuOURxcnZAbzO1vJknswIiX/DQw3XgOGJMsDEYuLGxDpMze50jPoMhBqBUk+kWW7VQVIlLTFElcxyrKIkClOGHkqIE9akQOxYW5IozGicihBJutzKGtnpDTMLIiQD2jpTb7L0zaLRVFpPsW5QyNGg5gnAgkskQ9g8QQKLMJe7ZDWQQh04+0RiJSeIHiOE94cc0IBRE4qWCV2F4bOnQo6hVm9qMJZEVg35Vh42kR/cALewBonJrYFZeOIjSZwA+hR48eqGoj64hK4SSzLglsPTOCDGHfNdFFeZdfpDcJmtGtJkOeatRMU2IHRnSzZs3SiZhPRGpSaDJe8TZECjUizxTFlgpR2gqFes7EdayGvbA3xXt1oazXh8iyMecb/fpT6wikiciH8DM2INf/sD6x1sjeZSZnOu0BCSnS+lbW/jJp25EbhNwgZMUyOUjmrmONGTNGc0RIXGp9/6/1JQMhPV8h5xSdVMzpmxVC+sIkqfnC/uqJBMK/BGakS9vK+JxJ//79NUc4rCAS3mvW6FTWVzNlyuaKmHMJztDRrjT/mi6svZPmW3GEjIVcg+SgLHi4amdcyN5XWt8J6x7U/8iUHf4QZAFQFmRdYOvelA2IXItk1iWBrWedsnUUjatDDsXodCKyUtZZWI8ugVwLFFjIT1gu8WRdrH/sSezASIC13xlZjiXWEInEOtzlOkJWWWiR0KRCpVgSO1ZlFXQuKE5o1iEwIWcd7kiHY15eCWQREUXl+8YCbV48He4m8+/h3SyPd4X9yA/KbB0i1p64iRMnItcZjBa5vZaTCmrY7gGxRmNhIyqB4sjT11L72dca4yLLAgXxnGa0frwzEiiLtQoC6cJQFudes0ZXgwYNQm7UUyxyIy+ndVeGzNHaFYssCxQEmYdrSCwuEutwNyXwQxDWFZHw1LoiYV91jbKguNYlsa2HXFtopTdDIeGATkSO1ZALUTk2tEiEFAkzujUvpeQ6U9Zaalp/sAkfGNGZx7A1MNUcgbRjyTREKIs8UxSHq4CC+BdYYeSgeI9V89IrSlzukHUTIcsGxbFe6IlKEZaZiHwBP2MDcv0P6xNrjaxNYshZT5kdUp2Nz28qOYFqfthzjUisHyRma29GqtYerhBaQdgb5yTPJjquQNpgbsa4wr8odGoCaQszjJGZIquwKBUS3mvIiufmYue7MtI5VEuFtcvVXAWBrMKsVw3IciD5H4JAlo0GugpZQcmsS2JbD1nxbJkEmH/ysR+Bmq8i3bac2KrFFOlmGuudW84l0xAl1uFu0iKBtGPJHKsKBW4cP5hQ5PbB3AgCWRGgkhtLRUS5wPeNBdq8eDrcIz0EhGJbA4rcyA0riqM+gmSHcSJM1topjCwb662gyLJAQeTRo7DfP2LSfIF0cqLMSGiRQNoGxQmtPooL77XE4maMEGEUc1dGOvDM642QCxLNFGFjcYHiRDvcE/4hROkWRA3b053IjX9dEtt65u0eIRcqrtO5CKQNZnQrIsXWCR8Y0Zm3wIQ0R5opkHYmyYYIuZHHRXG4CiiIc4EVxkzoWBXp6nC3L4kVKgVv30MWEfkNfsYG5Pof1ifWGplNYpS4RSsIpIOQFXX6qBHPVo3e2ltvHUVWOFFOlDne4a75AulwUMNSx0ngYRd9U5u9aRUiP0lmblVr6Gh2dIa9TlFaQSDtQPI/hOhHFCoVjisSXpeEt571F+TWsWpnhtz2eFvzBdI2Ca+aE7KdhVz4yIKZPxOT8+77JBsic/ukuMMdoyV0rCoUxD9rO0wo8sKY11wCWRGgkhtLRUS5wPeNBdq8eDrckbZBceEK5ovnQm7ttDLvdY10JgtLRxFIF4ayJBp9FMSaQliyIjqufatqvkA6OVFmJLRIIG2DYluFhPea5gikncE4EcZCWdRpooaljoRoyIo8ohkCxhXF6igCaRsUF65gvmMneuevuVWt1ZJZF80USIeDGoXrmNcVIuzd+q7ADGyLFzO6FVpBIB0OakStY4Xa4eqjwPGkFMaJNRYq2aohN/LoKHZvgUUyx6rK8A53+UEhi4j8Bj9jA3L9D+sTa42cxC1aQSAdhCxnMI4D0Vt7M0aN2dGm1QTSBidnE2tHTySoakgs/EtgRsLsKJSZIquwKBU03yGMY3nNWlxrF31Tm1GZE9ZX3yAr6kGFGlHrhEj+h4B0BOb9TNadojkC6XBQo3CdhLeeMi/KrOK6W1yZR1okspyoakBB5FVOctUSg8k5+IaBSrIhinlJIj8ZreBRhzvSEYQ9VpXmC6STgAlFboqtb79BVjjWBxeQRUQUle8bC7R5kQNBE+pFbh9RXLiCeZJzIsrdlHYYJ8LyoCxWa45K4c4fKIg6BdSIzK2TH8aJLOzuQ1nkeaHYViHhvYasRNcO6cJQ5gzGsdxrHyUWl40Ws46djiKQtkFx4QpmmGsPZ63MoE0gK7l10UyHMI5FK+M5U5PD6NbK+txDJKhqiBndCq3gEMaJClUjVEaZs0mZME6ssVDJ1hAhN/LoKA5XAQVxLrBI5lhV6epwj34GQaX4NwgRZQ78jA3I9T+sT6w1chK3aAWBdBCy4nyWNKborb2TBlxEuSM75tlES0X09/ghbUgg/NP6Iq4ZCfOUKjNFVmFRKmi+iGuvWb9diSwHom9qJ3d+hIVxIr9vRKBGPFNO/ocQvcMalSK84CXedUl469mtsrxmRCA3lugvHjFDbnvUp/kCaRsXVy0umKWzmSbZEJnbJ9IfDMx42KMO9wSOVYUCN3YNJhQ1sEeNqO2V2dxFub4jIrJyoQlLL231RKRA0IR6kVttFBeuYJ7kojxrlhidrEC6MJTFOsegUrhqKIgwBfO9E2HXy+ywjhI9Ix1LwjMSWiSQtkGxrULCe03HEkg7g3EijIWyOKfp5E/o5mo6v+ISOopA2gbFhSuY4VqNqF/yNKtZX5OSzLpopkA6CdZLuP7hPosfFkaIEKKhzLZ45nZw0uGOdHKs1wwOOTlsUDXWQqKSrRpyI4+O4nAVUBD/9knmWFUp7nCXSyCtEGWBHd56Q0QZDj9jA3L9D+sTa42cxC1aQSAdZLbY0R9dipfZ2kd6VZeWikgvxBOoEa7DKPr0zQetIm0NLRVIG+IN/xKekZBRtEhmiqzColRIeK/pWCJ6V52V810Z/WGyEOamE8gqTA4MFMc6+K0S/iGY100CWTZm93TIZk9mXZAb59aLxAx7Iu2sEFpZIF2YeZjJf5Bl0HyBdDio4dKqOZHA+0tRO6GGKObLUuQ40VJ3O9yTOVaVFgmkk4AJRQ3sYy6w9c9FyCIiisX37QWaPc863AVy3W5bMdEIkzVjEYEsGzO4DPuImRYJpAtDWYTSKP3gmi+QjgW145+R0CKBtA2Kw1VAgePlVOZHiqJ31YXQUQTShZlxVdg4JgodS0S6FQXFjq+4FMaJf6siN+o3rFAj8rjxrkvCWy8SnZpAOirz+Iz0kSItFUgbzOhfpoAsG9dXLTqdl0DamSQbIs0XYfe7+di4QJaFeQEwf/58ZDmmI4oEjlVhrlFqOtwFakReWRRHvTGNiDIffskG5Pof1ifWGiXczyisvSHDhw9HroWeVR124SlrD6PZSxXysBGKg0JOCuY9JSLsTZExp48yWz+a+ZoFhVyDk80YQuuLuGYkZBZaFDZQF9ErJLbXZFvpKEKCAeu2NXvoQmYX164MG+TL6VW3BtIG6yayvtKtW7duyDWgwIFkfgjmBhchQab13ouwsWUy64KCeLaeVg7pyE7gCQYzKhPICgq51ySxDneBSnEeGJHopIREucgyWONegVxnME5QvA0RyoLMceU/yDKEPWZQZruVCv+LKpljVaA4zg0VFiYUK7C3PhhtfRjI2iIJ5FqgIAhZRERBvm8U0LZFDgRNqBe5HURxrGbU3t9hdpwh7YyOIszTjJx7hP5fWKOfkPdgWHvB7KdzheII069QoQKKC5+brVMW9q2KAscrm/CMBMoS2mUCZUHO95o1qpOFNMOTc6n+AAD/9ElEQVREMzgWmmNCbuRdaX0W0v5Kk6lTp+pMQzoHZXPpKMJ6vWF25pqixOt2GCehrYqCIOvVkWxe5AYh1yKZdUlg62nlkNjOeqN9yAVnJNbFHjRoEHLDBakoMDjpcBeJHRiJ0bkIpB1LpiGybnO5XNH9LmGr2SyY/9H6VtZLMjM+jtTc2WHMoLiOVWE2AtHj8rCkxdCfvzLbGYGsINQ2WI80YV7JyLbSyzxlXx5ru+TKcUJEnsLP1YBc/8P6xFojs8lKoJ9R2cMGKzMMc856njKhzGC9sdHO7N4NK+b07X2dQjv+zO4qrWlyshntEpiRMIvCBuoiZgWR2F6znuBChN3mTnalnG2tFyZ2IX30JhQXptGFuXZa04nkfwjWv2SEiHSPiAn1CnOyLvFuvSgLaQ+Eoov0G9TF1v/Lwmtlk+YLpCNL+MAIK6RjPURcP1urZBqikOhXySprqSYj/RLt7+eU+B9lDiR8rKJSPL8sJUcXxowFIxQmFzsoLizsbfjKvElIIIuIKMj3jQLaNo873JXZC2MnRdHPc2HZz0D2VyuaHwC0s3cih4g+fVngsLGFroj+375VNV8g7UBiMxJaJJC2QXHUhUlsr5nXDyEixVtOdmWUKwdhDxOVzBE1LGR2WqrJuEI3HUUgbYPiyBWsPYBWMRcjmXWJd+tFiptjNhR25uWHlS62eXRpTZM5irl2USR2YMQLk4v6Y4kimYYobOSqPz3zh6Y1Q0gdLbVCmTOJHavmbk2gw11HjMn+9xURdn2V+Ze/ENYrKP17BhFlMvxcDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJyIiIiLyHDraDcglIiIiIqLswlifiIiIiMhz6Gg3IJeIiIiIiLILY30iIiIiIs+ho92AXCIiIiIiyi6M9YmIiIiIPIeOdgNyiYiIiIgouzDWJ/KBmTNnvvnmm4MHD7700ku7dOnSunXrww8/vHHjxlWqVClVWIkSJerVq6el7du3P++882699dann356woQJ8+bNw+SIiIgo5dDRbkAuERERERFlF8b6RBlkw4YNkydPvvnmmxs1aoTLcc+0bdv2sccemz59+u7duzF7IiIi8gxOwAbkEhERERFRdmGsT5ROBw4c+PTTT9u0aXPooYfi+ruwIkWK5OXlnXLKKXffffeoUaN++umn5cuXb9iwYfv27Tt27Ni/f39+YTLNvXv3Sum2bdvWrVu3bNmyb7755rnnnrvtttuaNm1avHhxmSAmXViVKlW6dev2888/60SIiIjIXTjjGpBLRERERETZhbE+Uart2bNnyJAhbdq0wQV3YWeeeeaLL77466+/orY39u/f//XXXz/00EPHHnssZlxY165dx40bh9pERESUNJxiDcglIiIiIqLswlifKEWWLFnSs2dPXGRbNG7c+JFHHtm7dy/qpcnGjRv79OlTu3ZtLJahRIkSQ4cOXb9+PeoRERFRQnBmNSCXiIiIiIiyC2N9Im9t2bLl3HPPxbW1oUKFCq+++uratWtRKcMsX768d+/eWFZDmTJlHnnkEdQgIiKiOOGEakAuERERERFlF8b6RF554YUXypYti6vqoJNPPnnSpEko9glZizp16mAFgo488shvvvkGxUREROQMzqMG5BIRERERUXZhrE/ksu3bt/fo0QMX00FVq1YdM2YMiv3pwIEDffv2LVmyJFYp+DXXYcOG8QurREREDuEMakCuL8jScuDAgQMHJwMRERE73IlctGLFirZt2+IyOuiyyy7bsmULirPCvHnz6tevj9ULuuaaaw4cOIBiIiIiigAnTgNyfcHal8SBAwcOHKIMRERE7HAncsWuXbvOPPNMXEAHAkWLFr3nnntQlo3Wrl3buXNnrG3QgAEDeLc7ERFRFDhlGpDrC9a+JA4cOHDgEGUgIiJihztRkvLz82+66SZcOgfdf//9OdL1vG3btrPOOgurHQjk5eV9+OGHKCMiIqLCcL40INcXrH1JHDhw4MAhykBERMQOd6JkzJgxo1KlSrhuDgQuuuii/fv3oyxnLFq06PDDD8cmCASOPvro1atXo4yIiIgMOFMakOsL1r4kcyAiynEhraIORERE7HAnSszu3bsvuOACXDEHApUrV547dy7KctLo0aPz8vKwOQKBV199FQVEREQUhHOkAbm+YO1LMgciohwX0irqQERExA53ogQsX768WrVquFwOBPr164eC3LZ9+/YWLVpgowQCJ510EgqIiIiIHe5ERFkmpFXUgYiIiB3uRPH64osvcKEc/DjqlClTUEBBDz/8MLZOINCkSZN169ahgIiIKLfh7GhAri9Y+5LMgYhSbu/evTt27NiyZcuiRYs++uijJ554YuDAgQ888MA//vGPzp07d7E499xzH3nkESl9+umn5fpl+fLlW7dulXH37duHaVHyQlpFHYiIiNjhThSX4cOH4yo5+BqZNWvWoIAsxowZU7RoUWymQGDx4sUoICIiymE4LxqQ6wvWviRzICIvLVu27M0337z99ts7duxYvXp1NBzuqV+//tlnn92vX7933nln48aNmCvFJaRV1IGIiIgd7kTOffDBB4hPA4HWrVtv2rQJBWTz3XffYUsFAlWqVPnjjz9QQERElKtwXjQg1xesfUnmQETu2b17988///zggw/WqFEDbUQ45cuXr169eqNGjVq0aHHDDTcMGjTopZdeev/992fNmjWzsBkzZowZM2bYsGFS59JLL23VqlXDhg1l3HLlymFa4dSvX3/IkCG//fbb3r17sWQURUirqAMRERE73Ikc+uSTTxCHBgK1a9dOb2/7ihUrfv3116lTp44fP/71119/4403Pv300wkTJkhwfODAAVRKtx9++MH8jGrdunWXLVuGAiIiopyk50QTcn3B2pdkDkSUNInkTznllFKlSqFdKKxLly6jRo2SoPqvv/7CCC7Jz8+X4Pzrr79+5pln2rdvj/kVVrZs2TPPPPPjjz/GOGQX0irqQERExA53IiemT59eqVIlDT0rVKiwY8cOFKTE3r17f/rppzPOOENi8SJFiuhiRFe8ePFWrVpNmzYNk0iTCRMmlC5dWhfp2GOP3b9/PwqIiIhyj54QTcj1BWtfkjkQUULmzJlz9dVXoyGwqFy58hVXXPHtt9+iXjpI9H7llVdWq1YNy2TRp0+fRYsWoR6pkFZRByIiIna4E8W0adOmtm3baqBZpkyZn3/+GQXe+/LLL2vWrKmzTtjDDz+MyaXDgAEDsByBwHXXXYdcIiKi3IPToQG5vmDtSzIHIorHjBkzWrZsid+/oVSpUnfeeefSpUvz8/NRLzPI8shSybIVK1YMyxpUtGjR9u3bL1++HPVyXEirqAMRERE73Iliuu222zS+LFKkyFNPPYVc761atUrna1W3bt2rr7567NixS5Ys0bfHbNiwYdq0aSNGjOjevTsq2dSvX3/Pnj062dTr2LGjLkZeXt7rr7+OXCIiohyjZ0MTcn3B2pdkDkTkwNq1a2+44Qb87A1t27Z95513UMMPRo4ceeSRR2LpDffff//u3btRIzeFtIo6EBERscOdKLolS5Ygogx+KBW5KSHRuc43Ly/vgQce2LBhAwqimjlzpvn2G6uWLVuiRsr99ddfZcqU0cU44YQTNm/ejAIiIqJcoqdCE3J9wdqXZA5EFNU333xTtmxZ/OCD6tat+91336HYh/Lz8996662qVatifYKaNGkyd+5c1Mg1Ia2iDkREROxwJ4quc+fOiCUDgQkTJiA3VRJ7tnTnzp32PvfSpUun65NHshb33HMPliMQePvtt1FARESUS3AiNCDXF6x9SeZARBE888wz5neM1JAhQ/bu3Yti/9u6dWufPn2wbkGVK1fOxSA/pFXUgYiIiB3uRFHMmDGjQoUKGkSeeOKJyPWDu+66SxfbVLRo0ZEjR6I45ebMmXPYYYfpkhx//PG7du1CARERUc7Q86AJub5g7UsyByKyGTJkCH7hQbVq1friiy9Qlo1GjRpVvnx5rG3wlfSjR49GWS4IaRV1ICIiYoc7URRPP/00gsdAwF8vH7/99tux3IYqVarMnz8fxelw6qmnYlECgRUrViCXiIgoZ+AsaECuL1j7ksyBiCw+++wza9dz06ZN582bh7JsN3nyZLnWwJoH73afNm0ayrJbSKuoAxERETvciSLZt29ft27dNGosXbr0ggULUJDxNm/eXLx4cV1y09FHH43iNHnqqaewKIHAsGHDkEtERJQzcBY0INcXrH1J5kBEQcuXL2/YsCF+2IHAoYceOmnSJJTlkrfeesv6Ip0TTzxxx44dKMtWIa2iDkREROxwJ4pEQudmzZppvNixY8etW7eiILNNmTLlkEMO0cU2HXXUUShOn4ULF+bl5enynH322cglIiLKGXoSNCHXF6x9SeZARMF3yBQtWhS/6kDgtddeQ0FOys/P79u3L7ZF8J2Wr776KsqyUkirqAMRERE73Iki+fXXX81HIy+77LJ9+/ahIFMNGzasWrVqusBWd9555549e1ApfbZt21ayZEldpBYtWiCXiIgoZ+hJ0IRcX7D2JZkDUW5bs2ZNjRo18HsOPk66evVqlOW2P//80/x6k2jfvv2mTZtQlmVCWkUdiIiI2OFOFMn06dPN21XuuOMO5KbJqlWrLr/88tNPP/1MQ8eOHWvWrGm/md10xBFHvPXWWxg/M5QrV06XrWLFisgiIiLKGXoSNCHXF6x9SeZAlMO+/PLLChUq4MccCLz88ssoIMN9991XpEgR3T6VKlVatmwZCrJJSKuoAxERETvciSL5/vvvNUAUffr0QW6a3HTTTViUWGrUqHHhhRc+//zzq1atyoQb261q166tCynXJwcOHEAuERFRbtCToAm5vmDtSzIHolw1YsQI/IyDXcly1YACKmzs2LHYTEHjx49HQdYIaRV1ICIiYoc7USSzZ88278i+8sor9+/fj4J0mDp1qi5JvMqWLfvggw9iKmklG9B8pUyjRo2QS0RElDP0JGhCri9Y+5LMgSgnPfbYY/gNBwK1a9feuHEjCiicP//889BDD9XNVapUqTFjxqAgO4S0ijoQERGxw50okkWLFtWvX1+jw7PPPjvzP7L/119/Pfroo61bt9ZlDlGnTp2VK1eiajqsWbOmRIkSujCdOnVCLhERUc7Qk6AJub5g7UsyB6Lc8/jjj5uvSWncuPH27dtRQJEtXLiwYcOGutHy8vImT56MgiwQ0irqQERExA53oki2bNly6qmnamhYp06d5cuXo8APxo4da/Zum4oXL/7xxx+jRsqNGTPGvD65++67kUtERJQz9CRoQq4vWPuSzIEox3zwwQf49QYCLVq0WLduHQq8Jxcmt9xyS/PmzWvUqFE9UVWrVj3ttNPmzZuHiabQsmXLqlWrhm0XCMyePRsFfhfSKupARETEDneiKPr06YOoMBDw3b0YO3fubNWqFZbeIl0fLOrRoweWIBCYNWsWcomC1q5d++OPP3777bdff/31qFGjXn311dcM8v+xY8f+8MMPUvrrr7/u3r0b4xAR+Q3Oggbk+oK1L8kciHLJqlWrihUrpj/eGjVqLFiwAAUpceWVV+qsk3fuuedioqk1b948LEEgULNmzSx5OCCkVdSBiIiIHe5EUYwfP75MmTIaF954443I9Y+VK1fqwlsNHDgQxSm0fv36Zs2a6QLUqVOHj9/moDVr1vzyyy8vv/zy+eefX758eT0YXFGvXr1bb731o48++v333zdt2oT5ERFlHjRbBuT6grUvyRyIcknjxo3x0w0EPvnkE+SmynnnnYd5J+2WW27BRFNu1KhRWIhAQALC9H4iyx0hraIORERE7HAnikKiwCZNmmhQWLRoUT9+E0kX3uree+9FWQr93//9n/k+mYcffjg/Px8FlL1+++23O+64o1mzZva3G9m1aNFCriSvueaau+++e9iwYS9YvPjii88888xNN9109dVXn3XWWdbnkSOpUqXKCSec8Oyzz2b+pxeIKKegkTIg1xesfUnmQJQz+vbti99tIPDggw8iN4XsHe5t27ZFmX/s27fvqquuwgoEAm+//TYK/CukVdSBiIiIHe5E0Y0dOxYhYSAgASJyfWLKlClYdIsPPvgAxamyadOmo48+WufeoEGDjz/+eO3atSijLLJjx44333zz9NNP130domrVqueff/7AgQMnTJjg7n3oixcvlgu22267rX379kWLFsX8Crv++usnTZqEEYiI0gRNkgG5vmDtSzIHotwgkYb5zc/atWuvXr0aBSmUHR3uYtq0aVWqVDFXYevWrSjwqZBWUQciIiJ2uBPFZHYWly9f/ptvvkGu9zZt2nTgwAEk4jd//vzq1avrkps6duyYzDQT89xzz+ncixQpcvbZZ7ds2VKTIi8vr06dOrfeeuukSZPWrFmzc+dOjEP+MXfu3JNOOsl8gsEkh99dd931559/pv554b1793733XdXXHFFxYoVsTQGOeR69+6dyq+cERGZ0BIZkOsL1r4kcyDKAfn5+ffffz9+tIHA4MGDUZBaWdPhLi666CKsQyDwyiuvINenQlpFHYiIiNjhThTTnDlzzDe5H3PMManpqnviiSd0jhUrVrzssst++eUXFDiwZs2af/zjHzq6VfPmzVPfzzhz5kzMPhBo3Ljxk08+iURkxYsXb9Kkydlnny2XNDI6JkQZZvTo0UceeST2maFOnTrDhw//888/USkzzJs375FHHilZsiSW0nDGGWcsXrwYlYiIvIfWx4BcX7D2JZkDUQ5Yu3ZtixYt9DfboEGD33//HQWplU0d7jNmzDA/P3vcccch16dCWkUdiIiI2OFO5MTzzz9vvqri2muvRa6Xnn76aZ1diCJFinTs2PHKK6+8//77X3rppXcML7zwQvfu3StXrox6NnfccQcmnUKbN2+WKxNdgLy8vPnz53fu3Pmwww7TnHjJup900kmPPfbYxIkTFy1ahHlQav32229nnXUWdonh3HPPnTdvHmpktrfeeqt169ZYbsPAgQP5IV8iSgE0Ogbk+oK1L8kciHLAnDlz8IsN/qkeuSmXTR3uom7duroWJUqUWLVqFXL9KKRV1IGIiIgd7kQOXXLJJRoXittuuw25ntm9e3eHDh0wvyQUL178nnvu2bt3L6abQhs2bDjmmGOwHIHA+++/j4Kg/Pz8bdu2SYT98ssvn3322eXLl8/Ly0PVeJQpU6Z69epyEfKf//xn3bp1e/bswQzIbSNHjgz5/KnsuPXr16PYb6ZMmVK7dm2sSVD9+vXnzp2LYiIiD6C5MSDXF6x9SeZAlAMeeeQR/cEWKVIkXe+TEVnW4X7ffffpWshWHT58OHL9KKRV1IGIiIgd7kTOnXnmmWZo+OCDDyLXY9u2bXvvvfcuueSS+vXr69xjKlWq1KWXXvrBBx+k96bdZs2a6fIUL178xRdfRK4Dv/32m6zyAw88cPzxx+sUElC3bt0uXbrcf//9EyZM2LVrFyZN8duzZ8/NN9+MzRok2/bLL79Esc/l5+c/8cQT1j8kVKhQYfTo0SgmInIVGhoDcn3B2pdkDkQ5wHzheOnSpb///nvkppy9w13iZJT50Oeff47VCARuuukm5PpRSKuoAxERETvciZzbtWuX9SM/aXlJiy9s3br1iCOOwGYKBB555BEUJGfatGkPP/zwKaec0rBhw+LFi2PqcZJx77rrrgkTJvz22287duzApCmcvXv3/vOf/8SGC+rYseOWLVtQnF0+/fRT60eGS5Qo8eabb6KMiMglaGIMyPUFa1+SORDlgLZt2+oPtly5cmn89Iu9w92JYsWKderU6d13312zZg0mlBnmzZuHRQwEzjnnHOT6UUirqAMRERE73Inisnfv3gsvvBDhYfAbqiggw6JFiypUqIANFAh42mu5devWpUuXfvzxxzfccEPNmjUxyziVKlWqVq1a7du3f+yxx/zyIvIUePbZZ83vFogePXrkwt8n5s6d27BhQ6xzIHDooYdOnToVZURESUPjYkCuL1j7ksyBKAfUqFFDf7ASFaTxocmrrrpKFyMZXbp0WbFiBaaYVrIY5ndTfX2rfmirqAMRERE73IkSMGTIEA0QRe3atZcuXYqCnPf2229juwQfvE1XZ+WaNWs+/vjjgQMHynVFlSpVsEBxkuU/9dRT+/XrN3r06DTe0JR606ZNk3XHVgheBWXaXVFe+/LLL61/NDrhhBN2796NMiKiJKBZMSDXF6x9SeZAlAPMlzqWL19+27ZtyE25RYsWnXnmmSeeeGL79u07duzYvXv3q6+++rHHHns06OGHH5acCy+88JRTTmncuHH0J0FbtWqV9u+ULlu2DEsTCJx00knI9aOQVlEHIiIidrgTJeZ///tfqVKlECcGAvfffz8KctWOHTtOPfVUbI7gm1u2bt2KsoyxfPnyESNGdOnSpW7duuXKlcOyxkkuty699NLRo0cvWLBg06ZNmHS2uOaaa7CewTVduHAhCnKP9e9qYuTIkSggIkoUGhQDcn3B2pdkDkQ54LTTTtMfrISO/oqLVqxYccMNN+jChyhevHh6PxQ/bdo0LEogcPHFFyPXj0JaRR2IiIjY4U6UsH379p1//vkIFQOBqlWr/vzzzyjLMSNHjixSpAg2RCDw9NNPoyDjyU5ctGjR5MmTH3rooeOOOw4rEL9atWqdcMIJffr0+eyzzw4cOICp+8rs2bOt3w698cYb9+/fj7JctXHjxiOPPBJbJBA4/fTT03hrGxFlAbQmBuT6grUvyRyIcoD5LpdSpUpJxIhcX+nZs6euglXJkiXTeOPIu+++i+UIBHr37o1cPwppFXUgIiJihztRkqZOnWq9V7pNmzZpf0gzlaZMmVK5cmWsfCDQqFGjzZs3o8znvv7660cffbRbt27WD8DGq3nz5rfeeuubb745e/bsTO6/fv311/Py8nSZy5Qpk96bnjLNE088Yf49qUKFCmvXrkUBEVGctCUxIdcXrH1J5kCUA0aOHIlfbCDQr18/5PqN9RFG0x133IHilDP/jFGsWLGPPvoIuX4U0irqQERExA53ouR9/fXXIe8n6d69ewa+UMVdP//8s/kVKVG5cmXZDijLUnv37t22bduHH34oFwl169YtW7as9b5+h4oXL16mTJmTTz558ODB8+bN27JlS9o74u+8804sXCDQunXrXHtjuxNfffWVua9l902YMAEFRETx0GbEhFxfsPYlmQNRDli8eLH5COBJJ53k0+f/rK9wMXXq1AnFKSdRtC5DXl6eBNjI9aOQVlEHIiIidrgTJSw/P//mm2/WYDGsE088ccmSJaidRd5///2QL5GOHj0aZTnpr7/+mjx58r///e9zzz3XvH6IV+XKleWAuf766994441UPiRhvePpzDPPRC7Z/Pnnn/Xq1dMNJRfeP/zwAwqIiBzTNsSEXF+w9iWZA1EO2Lx5c4cOHfQ3W6lSpe+//x4FvjJr1ixdBatzzjkHxan10UcfmfcxdO3aFbk+FdIq6kBERMQOd6IETJ069aijjtIwMYSEjxKUFy9eHOng/bDvvPMOxvSzLVu29O7dG2sVVLly5Q8++ADFZLNgwYJhw4ZdcMEFLVu2TKYj/qqrrho1atT06dPXr1+PSbukb9++mE3wsQzkUgTLly+vU6cOtlcgINeuKCAicgbNhwG5vmDtSzIHotzwyiuv4EcbCPTq1cuPN7l//PHHWAGLhx56CMWpZf1s0o8//ohcnwppFXUgIiJihzuRcxJeS2Bqvuo6RN26db/77jtUDd4GXqxYMZQFtWzZcuHChSj2j/z8/NGjR1etWhWrEXTEEUfMnj0bNcixPXv2rFu37ocffrjvvvuaNWsmx1ICL6WR46pixYqNGzfu06fPN998s3fvXtlHmEE8Ro0ahSkGe9tT9q3XrVu3NmzYsESJErLuyZCJLF68GBNNlZ07d1aoUEE3mvyHL7snorho62FCri9Y+5LMgSg3bNu27dhjj9WfbfHixRcsWIACn9i1a9dhhx2my28qU6ZMWl6A+e6775YsWVKX4YorrvD3+2RESKuoAxERETvciZz45ZdfzDjb7sYbb9y5cyeqFrZ69Wr7R4pat2799ttvo0am2rdv37/+9a/q1atjoYNKlCgxZMgQ1CD37Nix45tvvhk2bJhceDRs2BCbO05FihRp1apVz549n3/++Z9//hmTjmD+/PkYLRBo0qSJLAAKvPfAAw9gxklLy7MjP/30k/m3tPbt22/ZsgUFRESxaNNhQq4vWPuSzIEoZ4waNco8+7dr1w65fjBnzpyQ+2ZUWoIouTJq2bKlLkDp0qW/+uorFPhXSKuoAxERETvciaLYt2/fiy++qEGhXc2aNcePH4+qscyePfuUU04pYruduUePHtOnT8+Qmzs2btw4bty4Vq1aYeEM5cuXv/7667dt24Z6lCq7du2Sy6FrrrmmefPmlStXxv6IU9GiRc8444yhQ4fOmDFj5cqVMtn8/PxatWqZpSn+0sC9996rs7aSi9h4NWnS5M8//8REU+vpp582f8t33XVXYk8YEFEO0nbDhFxfsPYlmQNRLrn88svx0w0EevfujVyPLVy4UG9/adOmzZNPPrlo0SIUODBq1KjDDz9cF9iqZMmSn376KSql1rXXXqvLIHHUAw88gFxfC2kVdSAiImKHO1FYa9asad++vUaEdhdddNG6detQNU4rV6687777MCGLMmXKtGzZ8tFHH3X9Pd3RzZ0796abbmrcuDGWw6JSpUpvvPEG+9kzjRycc+bMef75588++2zsqiQ899xzmG6q2DvcmzVrhjKfyM/PN7+fJubPn48CIqKo0GoYkOsL1r4kcyDKJatWrbJ+ykXieRR4aebMmeXKlcMsLYoUKXL44YdfeOGFvXv3vi1I/nPllVc2bNjQfn+P1eWXX45Jp9yQIUOwEIHASSedhFy/C2kVdSAiImKHO1GIESNGlClTBsFgYZUqVRozZgzquWH+/Pl9+/a1xu5WMrvOnTs/+OCD77zzzm+//ZbkK7Y3b978008/jRo16o477jjhhBMwD5tjjz1WouG0vNKRkjR37lw5eq+77rq2bdsWLVoUezSqEiVK/P777xg/Vewd7kceeWTK3iDvlh9++AFLHwh06tQJuUREUaHVMCDXF6x9SeZAlAMmTpxo/Su71WOPPYZKntmxY4eEGZhfEipWrPjaa6+lMdx66aWXzOi0Xr16kd7G6T8hraIORERE7HAnUmvXru3SpYtGgXann366VEBVb0gEPHPmzMsvv7xGjRrFCn9t1a5IkSISsxY3lC9f/vjjjz/66KORLl5cpuCky7V06dKNGzfu37//6tWr+VqMrLR///6pU6fed999LVu2rFKlihwb2PdBDz74IOqlUHZ0uIt//OMfuvylSpWaMGECcomIItNGw4RcX7D2JZkDUZaaN2/enXfeGf1WcfWf//wH43hs69atL7zwwplnntmsWTMnrxmsVatW27Zt77nnnlWrVmES6TN27FgsViBQt27d5cuXoyALhLSKOhAREbHDneiNN96oVq0aYsDCihUrNmLECNRLufXr18+cOVMi1Jtuuqlp06alSpXCYiVE1lHC7nvvvfezzz777bffUvmRTMoo5reqqlevPmfOHOSmUNZ0uH/++edYgUDg1ltvRS4RUWRoMgzI9QVrX5I5EGWRffv2DR48uF69evh9RlC0aNELLrgAieDFwvvvv49JpNz+/fslgtqyZcuGDRu2bt0q/8/AgGr48OHYWIHAYYcdtmDBAhRkh5BWUQciIiJ2uFPOWrNmzdVXX43oz+bEE0/8448/UNUPZHX4snWKacmSJTjEA4HOnTsjN7WypsN95cqV5i1mJ5xwglzuooCIKAJtMUzI9QVrX5I5EPnfRx991LFjR/wmI5Ooafz48RinoGDRokXW+3UefvhhPipqJ9uke/fu2EaBQJ06dbLwaiWkVdSBiIiIHe6Ug7788stIt7Tn5eX961//2r9/P6oSZZennnoKx3og8PLLLyM3tbKmw33Pnj2XXXaZrkKFChV++uknFBARRaAthgm5vmDtSzIHIh/Kz89fsmRJ9+7dYz48Wrt27VdeeSXSU6Hbt29v06YNqgYCp5xyyr59+1BGwW/Mtm7dGlsnELj44oslcEJZNglpFXUgIiJihzvlDgnybr75ZgR9Ni1atJg9ezaqEmWpW265BUd8IPDtt98iN7XsHe716tUbNWrU0KFD+/Tpc43h8ccff+aZZwYPHjx+/PiNGzdi5Azz0EMPYR0CgS+++AK5REQRoL0wINcXrH1J5kDkHxs2bBgwYEDt2rXx84ugdOnSd999t/NPyt95550YMxAoXrz422+/jYLc9vzzz2OjBA0ZMgQF2SekVdSBiIiIHe6UC6ZPn96wYUNEfIVJZNy3b1/UI8p255xzDg79QGDJkiXITa3+/ftjCRJy0003Zc7fxl544QUsViDw4YcfIpeIKAK0Fwbk+oK1L8kciDLbtm3b5OzctGlT/OQiKFWqVKdOnRJ+Uu23336rU6cOphUItGnTZv369SjLPb///nuzZs2wLQKBRo0abdq0CWVZKaRV1IH8b9euXWvXrl22bNmcOXMmTpw4ePBguQYR3bt3b9269TEWrVq16ty5880333zjjTcOGDDgvffemzVrllxnrVq1auvWrZgckRt2794t5xc5LH/99ddJkyYNHTr0lltukQPviiuuCDksJXnaaadJ6Q033HDvvfeOHTv2xx9/XLx48cqVK3lYphLPB5TN7rnnnry8PER8hdWsWXPmzJmoR5Qb5Oyrx3+RIkU2bNiA3NR6+eWXdRmSUaxYsX79+mGK6fPWW29hgQKBYcOGIZeIKAK0Fwbk+oK1L8kciDLSjBkzunbtGvONMU2aNHnnnXfc+gTLE088gekGXXnllXv37kVZbti5c+fxxx+P9Q/e1fTSSy+hLIuFtIo6kN989tlnd9999ymnnNKgQQM5dHEQu6dWrVry6+jZs+frr7++e/duzJUoqm+//XbAgAGdOnVq3LhxzDNaAqpXr37sscdedtllI0aMyPK/jKYPzweUhX755ZfjjjsODYnNHXfcIREhqhLlkvPPPx8/g0Dgt99+Q246bNy4cfPmzZHeiyrkAvinn3569dVXe/ToEenPZmLSpEkYIR2ee+45LEcg8N///he5REQRoL0wINcXrH1J5kCUMf7444+BAwfG7CmrU6dOv379PLq/T64vLrjgAswpaMCAAbnwaSjZnhKtYZ2DbrjhBpRlvZBWUQfKbEuXLpVLjDPPPBPHazglSpSoX79+q1atpNpll1321FNPvfPOOx999JFcnvz5559LLGRq8+fPHz9+/AcffDBs2LCbb7753HPPbdu27RFHHFGhQgVMLpwmTZoMHjx4+vTpWCzKbatWrRo9enTISSRE0aJF69ate/TRR3fq1Kl79+5PPPGEjPLhhx9OmzbNfljKafHTTz+Vw3LkyJF33HHH+eef365du6ZNm1apUgWTC6dWrVoPPfTQt99+68dPrGUgng8oe0hEO2TIEDQVNrVr154wYQKqEuWk3r174/cQCHz22WfI9YmLL74Yi25RsmTJ999/HzVS7oEHHtDFkOhnypQpyCUiikBbDBNyfcHal2QOROn2yiuvNGjQAL+oCIoUKdK9e/d58+ZhHI+tX7/e+k4Vcd5552Xs12iStHz5cutd7eL000+PcjtFFgppFXWgzPPXX3/dcMMN1atXx5FaWK1atSSqnzVr1qpVq1y/M2///v3SLCxYsOC5556T34u0SJirxSGHHNKhQ4d0fWGL0kVODX379o30cZFKlSrJxfsPP/ywYsWK7du3YxyXHDhwQOa+aNGiV199tWPHjsWKFcNcLUqXLn3cccd98sknGIfix/MBZYOlS5eecMIJaBhsrrzyynS9PYMoo1hf5+LHD1h9+umnWHqLNm3arF27FjVSaNeuXeYTA9WqVZszZw4KiIgi0BbDhFxfsPYlmQNROkyYMOG8887DryiyDh06jB49GuOk3Pr167t27YpFCapTp864ceNQ7H8vvfRSyN271113Xa69ReegkFZRB8oYr732WuPGjXGMWpx44onDhg1L71/CJk6ceO2115YrVw7LZChZsuS99967evVq1KOs8+6778oFLPa3xdFHHy1X6CtWrEC9dJg8efIdd9xRtWpVLJPFzTffvHDhQtQjZ3g+IH8bMWJEpKdHq1ev/tZbb6EeERUUrF27Fj+PYKCJXP/Iz8+XyzmsgMV3332HGikkwVDZsmV1AU4//XS+kJGIYtIWw4RcX7D2JZkDUaosX778xhtvLFmyJH48EVStWnXw4MG7du3CaOl24MCB++67r0SJEli+oBNOOGHRokWo4SsShk2dOjWk+7J06dJPP/20FKFSrglpFXWgtJKY/F//+ldIc1G0aNGWLVt+9NFHGfhnIfn5rFy5smfPnvJrwuIGyTL/4x//yNbnY3LNvn37hg8ffsghh2DvGqRFff311/fs2YN6mWTDhg19+vQJ+ZtQkSJF2rVrJydlVKKoeD4gX1q3bl2nTp3wo7c5/fTTeWYispMzfdu2bfVnUqtWrT/++AMF/iEXdbr8Vp9//jmKU+jdd9/F7AOBBx54ALlERJGhyTAg1xesfUnmQOSlnTt3Pvnkk02bNsUPJgK5+L/tttt+/vlnjJaRZs+e3bFjRyyxQUKyd955BzUy20svvXTkkUdiuQ0XX3zxkiVLUCNnhbSKOlCaTJgwwX6g3n777T76E9f27dtHjBhRo0YNLH1QhQoVpDFEDfKb77//3v59wZ49e/ro8ej9+/ePGTPmiCOOwNIHlShR4u6770YNioDnA/KZ0aNHV6tWDb/ywvLy8l599VXUI6Jwhg0bhh9MIDBo0CDk+seAAQOw9IaSJUvOnDkTxSnUokULXYBDDjlkxowZyCUiikwbDRNyfcHal2QORG7btWvXpEmTjj32WPxIIpCYv3379l988QVG84+JEyceffTRWA2LK664QmKJzLnJcceOHZMnTz7rrLOwfBYnn3zy999/j3oU0irqQKkl7Ubfvn1xgAYVK1ZMflN+f/x08ODBFStWxCoFdezY8c8//0QxZbb9+/fbbxTr0qWL328MHTVqVM2aNbE+QXJS+/XXX1FMhfF8QP6wfv36kM/fW0nM7dNnM4lS7K+//jJvFqtfv356XxIXr3Xr1rVq1UoX3nTCCSekPnCx3t5+6aWXIpeIKCq0Ggbk+oK1L8kciFwyb968iy++uHz58vhtRNCgQYNXX301O77MJKt8+eWXY8UsypYt265du8cff3zlypWomioLFy4cMGDAMcccE/IOHNWnT5+lS5eiKplCWkUdKFVWrVp15pln4hgNksucDH/eJV6rV6+++uqrsXpB9erV++qrr1BMmWfbtm1yeYi9FVSjRo2vv/4axVlh8+bNd911F1YvqHLlyu+99x6KycDzAWW6iRMnhjxUZSpWrNhzzz23f/9+VCUiB6x/bH/kkUeQ6wennnoqltuQl5f37rvvojhV9uzZ07JlSyxBIMBvMhORQ2g1DMj1BWtfkjkQJeHPP/8cPHhwpUqV8HuIoFq1arfcckt2vy7222+/veyyy0JuZTWVKVOmc+fOErB99NFH8+fP37lzJ0ZL1ObNm+fOnfvhhx8OGDDAHlmZ6tSpc+21186ePRujUVghraIO5L1NmzaddtppOFiDLrjgguR/HZns0UcflQsfrG0gUKVKlalTp6KMMoMcgd27d8ceCurQoUN2f/92xIgR1hfTly1bVk5VKCN2uFPG2rVr180334wfrk2bNm1++eUXVCWieBw4cMB6n3jKvjj61ltvSQiS2OtKn3jiiSJFimCJLeRyETVSJT8/3/rU6osvvogCIqJY0HAYkOsL1r4kc8hK+flymizYu7dg9+6CmTML3nijYNCggiefzL/55vzzzy+46CJzyO/eveC++wqeeurg8MknBYsWHRxl376Do1ME+/fvf/vtt4866qiw53RT0aJFu3Tp8vPPP+fgXTUbNmz49NNPu3btGvL5RLvixYuXLVu2UqVK1atXr2No3779RRdd1Lp1a03Wrl27WrVqlStXlqlJfYwZjuwRmdqVV1757bff8lNYcQhpFXUgL0mzcOONN+LADerVq1dmfnPSC2+88Ya1/WzevDkf9M8Q//rXv6y75sILL8zuvwBZyWnL+m3VWrVqzZo1C2W5jecDyjg//PBD/fr18WMtLC8v75577kE9IkrUli1bzG/3H3bYYatWrUKBZ/bt2xfyoRX5OV9wwQWjR4+W8/GSJUvWrl27Jkj+s3z58p9++umtt94699xzUdtGppaWlxhKPIElCATOP//8vXv3ooCIKBa0HQbk+oK1L8kcssD06fkvvFBw7bUFbdqErl3SQ36lSvmdOhVI4Dp6dMGyZZhjTpoyZUrI8/VhHXfcca+99lp+fj5Go6DVq1ePHz/+8ccfv+SSS+QSKWZHfExlypSRIOryyy9/5plnJk+ezAf1kmL74R8cyDNydYDjOOjMM8/ctGkTynJJSN9uz549UUDp8Pnnn1sfPmjdunV2P5UVyciRI63boXPnzijIYTwfUKaQ8Pree++NdPNFo0aNpk+fjqpElLQvvvgCv67gJa7Xl1sHDhw444wzML/kHHPMMb///jumm1oSTmEhgi/j27JlCwqIiBxA82FAri9Y+5LMwXc2by74/vv8iy7KL1MmdF3MIS+voHz5gmrVCurXL+jQoeCOO/Kfeabg3/8u+Prrgu++K/j2278HSb7/fsHgwQVDhuRfeGF+q1YFtWoVVKlSEGXiRYoUHHZYwaOPFixYUJDt92OuWrXq7rvvjtk7XLVqVYn/eT5NjFw9SXwlVqxYgQ1qIVt13759WgEjkOtCfuM6kAe2bt3avn17HNzBl02l/jsHmebss8/G5ggEypcv78fvSPvd3r17L7zwQuyD4AtV5syZg7Jcde2112JzBJ/Eevvtt1GQk3g+oPT7+eefW7RogR+lzS233CLBIqoSkXuGDx9u/omrbdu2yPXS7Nmz+/bta//waUy1atW64447fvzxR0woHb755psyZcro8hxyyCHsHSCieGkDYkKuL1j7kszBF3buPPhOmFatQhc+OORXrVpw220F772XP3Nmgeut+ooV+VOmFLz4YsF554XMF0PJkvlnnVWQ8nejeWro0KHWz5xEct11102bNg3jUNLWrFmDLWuxY8cOFJN3Qn7UOpDbPvzwQxzWQffffz8fhVFffPGF9Q3at9xyC//AljI//PBDsWLFsOkDgauvvpqPPqu5c+dWq1YN2yX4UHjuvF0nBM8HlDZ79ux5+OGH8Su0qV69epZ9ypkoA7300kv4yQUCTZo0Scu5UGYqV91i1KhRzz777BtvvKHJjHqF6DfffGM+Ile+fPnffvsNBUREjmkbYkKuL1j7kswhg+VLDHniiaELLEOzZvkPPFCwdCnqpVz+pEkFl11WUL166IIFAvk33VSwcCHq+ceBAwemTJnSuXNnHNaRHX/88Tl+p5t32OGeNrYf8sGBXHX77bfjmA4EKlWqtGDBAhSQwfoYcfPmzXO2czOVBg8eXLRoUd3mJUuWTO9tYZnpmmuu0e0jDjvssK1bt6Igl/B8QGmwZMmSY489Fj8+m2uvvXbdunWoSkQee+ONN/DbCwQqVqw4f/58FJDh6aefxgYKBKpUqbJ48WIUEBHFA+2IAbm+YO1LMocM9PrrBfXqhS5n/fr5o0YVrFmDOhkjf+HCgvvuy8/LC13gE07Iz/hz8cqVKy+77LJKlSrhaI5AKrz88surV6/GaOQNdrinTciPVwdyyZYtW7p06YIDOhDo0KHDrl27UEaFWW9krFWr1ty5c1FAbtu7d6/1rSlHH3302rVrUUaFjRw5Epsp+ID4V199hYKcwfMBpdRzzz1n/ZCCVfXq1ceOHYt6RJRC06ZNs75l9f3330dBztu3b9/ll1+O7RIItGnThs9pElHC0JQYkOsL1r4kc8gcv/5a0KVLyOLln332wdes+0T+a68dfAt84VUouPfegkzqXdqwYcMzzzzToEEDHMERlCtX7sYbb2R3Tyqxwz1tQn6zOpBLrC9tv+GGG5BLEYwbN868oKtcuTLvEPLIBRdcoBtZdOnShW83im769OmHHnqobi4JD77//nsU5AaeDygV/vrrr9NPP11/ZnbnnHMO/ypIlF5bt26tV68efpOBgAS4mzdvRlmu+vXXX0uUKIEtEgjcfvvtKCAiSghaEwNyfcHal2QOGSD/zTcLSpa0LlX+iScWLFmCYt+R6/Zx4wqqVi20Rs2aFaTvI2x79+6dNGnS0UcfbX70JaxixYq1a9du6tSpe7L9Y7CZiR3uaWP5qf49kBusD8RnVG/7gQMH9HPESGeSiRMnlixZUjdaqVKl+NoA15133nm6ecU555yDXIpqxowZlStX1o0m0UJOvZqV5wPy1v/93/9VqFBBf10hypYtO3LkSNQjogzw/PPPm2+jEyNGjEBBjtm/f/9VV12FrRAMWHmnHhElD22KAbm+YO1LMoc02revoG9f68Ic/Pzp6NEozQJbthTcemuhFaxSJT+Fz5/9+OOPV199tfWvzmEdddRRw4YNY8du2rHDPW0sP9K/B0raJZdcguM4ELjrrruQm3Lffvvto48+2q1bN7O7MKwjjzzyiiuu+H/27gMsaqQNAHDoHWmKNBUbFhQUsTds2Hvvvftj773reeqpZ++eYj09e+9dRMUuNhCkSAfp7P5zm29j2AWOsrtJdr/3meeec2aSnQw7yWQ2mbl06RJsxqlHjx5BsSRzy+BzjQo0c+ZMqFmK6tOnD69+dDly5Iinpyf7p3FnZ2fyZYBkrn369Ikpm4GBQVBQECSoO7weIKUICwvr2bMn3aLk1atXD0/9CPFTcnJyjRo1oK1SVPHixTXtzS+ZxZynTZuGrwoihBQCTitSECsI7LEkJnAiI0N2JLpKFfGHD5CqfvbuFZua/jpYAwORry8kKVpERMSaNWvYU8zlyNraetSoUbGxsbAZ4gEccOcM61z0K6CiYc/73LNnTxXP2/758+f27dvDxxeclZXVhQsXYF8c2bt3L5SGorp165aZmQkJqAiuXLkCdUpRDRs2jI+PhwTukNv2ffv22djYQLGy09PT+/vvvyErD1y7dg1KJllEPT09HRLUGl4PkIKRM5GlpSW0pOy0tLQ2btyYQe6UEEL8RnqKpqam0HQpqkKFCmFhYZCmvg4ePMh+LsDDwyMxMRHSEEKoyODkIgWxgsAeS2KC6m3fLmYtMSpq3lysIatxPnggtrVlDlxcsqT4+XNIKrLdu3eT6x18KXPXq1cvTfsBXkBwwJ0zTKtkB1QEHz58YJZ8K1u2rCqXXM7MzKxYsSL90UVkbW19584d2K/KZWRk9O/fH4pCUZs2bYIEVFhxcXHMr9HFihUj31JI4MjSpUvt7Ozo8uSGbwPuWVlZ8+bNg8JJnmnThKXR8HqAFCMlJWXw4MHQeuS4u7u/efMGsiKEeOzhw4fVq1eHppudvb395cuXIZ96Ib0WOEgJR0fHwMBASEMIIQWBU4wUxAoCeyyJCar0/r3YxIT5aJGzs+j1a0jSHAcPigwNmUoQN29e6CVVHzx4kMerqAzSgd+5cydsg3gMB9w5w7RHdkBF4OrqSn+BtbW1b9++DbEqkZaWRn80jRSgTp06K1euzOOpo2/fvnXo0EFHRwe2ye7MmTOQT+Xi4uLKli0L5aAoVf5uoZZatGgBVUlRx48fh1jVIuf5JUuWQCGy09PTc3FxYX6povFtwJ1ISUlp2LAhlI+i/P39IUF94fUAFdXdu3dLlSoFjSY7fX19clKAfAghHhOJRJs3b4amK0dmqbQ5c+aox6PfX79+9fLygqOSqFGjRnBwMCQjhJBCwYlGCmIFgT2WxARVEY0bl+1z1fSn33zJyhKza0NPT/zPP5D0X+Lj48eNG1e8eHH4/uXC0NBw+fLl379/h82QEOCAO2eYxsgOqLCOHDmipaVFf4G7du0KsaqSlZVFj6uuXr26QMuNktsoUlq62GzW1tYc3jHt3LkTykFRgwYNglhUcNevXzcxMaFrsmHDhqqfa5R8ixo3bkwXgM3IyGjp0qX0d/XcuXNMIWk8HHAnzpw5wywP06ZNG4hVX3g9QIU3adIk5oooo3Llyk+fPoV8CCEeS0hI6NixIzRdOSNGjEhKSiLZnj9/LvOWpb29va/SZpJVKtJPGjVqFLOIP61Xr15xcXGQAyGElABON1IQKwjssSQmqEBgoMjSkvlEUevWYsklSdORarGyYqpF3LJlbtVCruA7duyoUqUKfOdyoaur27dvXz8/P9gMCQ0OuHOGaYbsgAolOTmZfbLifNaOgurduzcUneWEChe7lle6dGm6GEZGRvxZP1NY0tPTvb296Wokrl+/DgkqFB0d7eDgACWgqLp16x49ehTSpM6cOSOIAXfC09MTikhRZ8+ehVg1hdcDVUhJSXn8+PHWrVtHjRrVpEmTcuXK5TZOnTdyoiQXoRYtWsyePfvgwYMvX76ED1AtcizMq17yfHx8cIFBhATh1q1bub2eYm1tfeTIEciX3fLlyw0NDSGfhKWl5Zo1a0gvGXLw1du3b4cMGQKFliIn1YsXL0IOhBBSJjjvSEGsILDHkpigZKIDB0RaWvBZ5H/OnYMERJDO9pgxzN9CVKGCODKSTiH3HU+fPm3QoIHM22kytLW1q1atev78eQ1ZuEy94YA7Z6RtMFtAhUI65GZmZvS3t2fPnqmpqZAgEGfPnqULz7Zr1y5I5sK2bdugHBQ1adIkiEUF4e/vX6JECboOmzZtGhMTAwkqJBKJfH19582bFxoaClFyBDTgfvr0aSgiRXXv3h1i1RReDxSPNMI7d+4MHDiQeVciD4aGhqRhFCtWrHhOSJKpqanMZEzytLS0rK2tJ0+e/Pr1a+W9tZSWlrZ06dLcfipwdHS8ceMGZEUI8Rhpy+SCnVtb9vDwiJTetOchISFhxIgRMtd1ss+aNWteuXKFpEI+rpFjWbduHTmdQhGl7OzsNm/ejL8OIoRUCU5AUhArCOyxJCYok2jhwl8fZGcn/vIFEhDbli2/aomEx49JXFRUlPxVj+Hg4LB+/fr8XOiRgOCAO2fYDZAJqFAWLFgA312ux6kL5/jx41B6Fm6fK//48SPzy2v9+vVTCrvshyY7cOAAXYHErFmzIJZ/BDTgnpiYyBTV2dmZP+MGyoDXA8UgZ9IePXpYWlrS3xt5jRo1Wrx48ZUrV969excdHZ2ZmQlbFkR6enpoaGhAQMDJkyenTJni5uYGe5dTqlSp8ePHf/v2DbYsGnKm9vDwgF3LGTx4MCc/9CGECio8PDzHCeBo8+fPT0tLg6z5Fh8fv337dmtra9gLCzlvTJ06VfXv4pw9e7Zv377lypWDcrA0adJExesvIYQQA85EUhArCOyxJCYoz7Rpvz6lbl0xzveVBz8/sXQlVZGJiej0aRKXlJRUu3Zt+J5JXkTr169fUFAQvQVSPzjgzhnmTMUOqODi4uKYdSnJbcWTJ08gQTimTJlCl5+ho6NDbpQgmQsJCQnMdCjFixd/LPlRFuUfuTXu378/XYHGxsYcroL7nwQ04J6ZmTlw4EC6kKampuo9qwxeDwrv1atXAwYMoL8obORc1qpVq3Xr1hVoqY0ievfu3bx583J7e3T27NkhISGQtSA2btyY22OwDg4OXC3QjBAqqJMnT1pZWUHrza5kyZKKmlMlMTFxyZIl1atXh13LIeeomTNnnjhxIiAgoOiv45DbywcPHuzbt2/06NE5Dq8T2traXl5ehw8fhm0QQog7cGKSglhBYI8lMUE5ROPHMx8hcnUV44Qn/0X05Im4eHGoNCMj8fPnJJJcZOfMmXP58uWsrCw6G1JjOODOGenJKltABRccHFyhQgX6q1urVi3ylYYEgfj8+bPMcCcxf/58zt+mJXdedGHIPRHOollQ5AJat25dugJLly5N/sqQwD8CGnAntmzZAqWkqA0bNkCsOsLrQYHdu3dPfukhY2PjyZMnh4eHQyZOZWRkfPjwoXv37jLzLOvo6LRq1er9+/eQL3fkQBo0aACbyWnXrh23P9UihPKJnA0mTJiQ289mbdq0Ud5L5SkpKYGBgbNmzXJ0dMx7XizS/zMwMDAzM7O0tLSRql27dvv27cuVKwf/trExNzfPzxRb5LxXo0aNPXv2REVFFe5dIoQQUhI4T0lBrCCwx5KYoASiFSvE2tqwf09PcrMLCXwiunVLvH+/eO5c8Zw5EDZuFJ86Jfr4EXKo3uXLYn39X38anIFHw+CAO2eYRscOqODevXtnYWFBf3WbNWsmrAncY2JiKleuTBee0apVK+VN9pt/q1evhgKhoqlUqVIcj9+3E9aA+4kTJ6CUFDWHdKLUF14P8uvLly8tW7aEL4VUo0aNbt68CTn46siRI+TsACWWGjp0aI4XgNymhiAMDQ0PHjwI+RBC/Pbq1atatWpB65Wzdu1ayKdCaWlp/v7+vr6+U6dO9fDwsLGxgdIUlq2tbZs2bVasWHH27NlPnz7BxyCEEF/ByUsKYgWBPZbEBEUT3bkj1tWFnXt4iFX4qmh+vXwp1tH5VQPygcP7gtu3mWL8u4Yq0iQ44M4Zpu2zAyq4Z8+ewReXojp16gSxQvDlyxf5mxp3d/dCTNSpDHv27IEyoaKpUaMG1CkvCWvA/caNG1BKycgkxKojvB78B5FItGrVKvguSLVq1SqPBYJ5y8/Pr2bNmnAMEmZmZnQjDA8P79GjB8TKadGiReFmpEEIqd7Bgwd1dHSg9WZXtmxZbpfuyb+EhITAwED4B0IIqQU4F0tBrCCwx5KYoFg/f4odHWHPZmbiW7cgnj927vyP0XYSuC32smVMSUQjRkAk0gA44M4Zpu2zAyq4gIAAfX19+qvbvn17iOU9X19fusxsXbp0gWQe2LBhAxQLFY2bmxufX54W1oD7+fPnoZQU5ePjA7HqCK8HuUpNTWVWSKCVLFnyxo0bkCxY5DSxf/9+Y2NjOKrc6ejobN68GWd+REgQUlJSmOVH5PXq1Uu9VwBHCCH+gzOyFMQKAnssiQkKJRo0iNmzaMkSiOWPRYuY4kEh69eXifk3cDvgnpgo9vaGkmhriy9cgHik7nDAnTNM22cHVHCfPn1ycHCgv7pNmjTh/7c3KSmpdevWdIEZOjo6fFs4at68eVA4ijpy5AjEovxJTExkJgtycXGJjo6GBP4R1oD7rl27oJQUtWzZMohVR3g9yAFpSDKzx3Tu3Dk2NhaS1cWHDx/q1asHR5hdo0aN3r59C/kQQvzm5+dXvnx5aL3ZGRoabtu2DfIhhBDiFJyapSBWENhjSUxQIH9/sYEBvVtRmTIQyR/t2v06arqQly6Jz56Vifw3cP5g/vnzYmNjKEyLFv++N4A0AA64c4Zp++yACi4sLMzd3Z3+6larVo3nr9dv3ryZLipbs2bN+LbQXVZW1siRI+niGRgYnCcXCFQQSUlJzZs3pyvQwcHhzZs3kMA/whpwX7JkCV1IbW1t9R6swOtBNpmZmWPHjqX/9gT580+ZMgXS1BTpinXu3BkOWPKr7O+//w5pCCEey8jI2LRpEzRdOS4uLh85XL0NIYSQHDhBS0GsILDHkpigQJ06/drt8eMQyQeJiaLq1X+VjQQbG7Gf379JJ09mi6cDH2bCadLkV3muXIFIpNZwwJ0zTFtjB1Rw5L6mX79+9FdXR0fnCl/PXefPn7eysqLLybCwsHjy5Ank4JPw8HD2A9pfv36FBJQ/IpFo5syZdAVqaWnt3LkTEvhHQAPuKSkp9evXpwtZokSJFy9eQII6wuvBL/v27dPW1qb/8ETXrl3JVwHS1F1UVFTDhg3hyCnK1NT06dOnkIYQ4hlyB9WqVStornL+97//4ewxCCHEQ3CaloJYQWCPJTFBUZ49E9vZ0fsU1axJeqUQz7kvX0RWVr+OlxTPyUnMXGF5O+B+8yYz17yoRQuIRGoNB9w5w27+TECFsnXrVvjuUtTixYshljf8/Pzs7OygfCx79+6FHPzz5MkTKCVFtW7dGmJRQVy4cEFLS4uuw+HDh0Ms/whowP379+9QRIqqXLkyxKopvB78Ky4urnr16vA3lyxAHBMTA2ma5O3btxYWFlALkp8cUlNTIQ0hxAPXrl1zdHSEJpodabwnTpyAfAghhPgHztdSECsI7LEkJijK7t2/9jlnDkRy7s6dX6WSBJG3t5j9LA5vB9zF4l+/E+jpiZOSIBapLxxw5wzT9tkBFcrz58+ZEe1q1arx5/mhd+/eubq60gVjW8LD5UaymzhxIl1ULS2ttWvXQiwqiKCgIOYtAScnJ96+JSCgAfeVK1dCESlq6tSpEKum8HogOwPXli1bIEFTzZgxA+pC8j4XPuqOEOfS09PnzJnD/Louo169ejyf6BAhhBABZ20piBUE9lgSExQiPV3MLJdqaPjvFOQ8IPrjj1+HSYdhw8RZWZBM4/GAu3jkSCiPtrYYV8nTADjgzhmm7bMDKqyuXbvC15ei9u/fD7HcCQwMzHGhrNGjR2dkZEAmvgoLC2NuHq2srDIzMyEBFdDkyZPpaiRWrlwJsTwjlAH35ORk9jO+av9evqZfD0aMGAF/aory8PDg2zIXXHn16pW+vj7UC0Vt3LgREhBCqvX169emTZtCU5Qzb9487DwhhJBQwLlbCmIFgT2WxASFiIoSe3jADitWFAcFQTx3sqZO/XWMkiDKsSfM5wF31oKuIh8fiETqCwfcOcO0fXZAhRUSEsKMEdva2kIsF8LCwjw9PemSsPXu3Vso0w4PHDgQCs3veW/4LzY21tramq5JY2PjtLQ0SOAToQy4z549m2njK1asgFj1pbnXg8TExKpVq9J/aaJv376QgCSysrJq1qwJtUNRI0aMIDGQhhBSvlOnThUrVgxaYHaOjo64yjxCCAkOnMSlIFYQ2GNJTFCIkBCxgwPs0MPj1wzpnMjMFLFXHCVBX198/TqkyuDzgPuTJ0yRRN26QSRSXzjgzhmm7bMDKgIfHx/4BlPUmDFjIFaFEhISchxqb9OmDT9HWnP0zz//GBsb0yWvUqWK5qxNqCQrVqygK5Po2LEjxPKJIAbcHz58aGNjQxfPwcEhNDQUEtSXhl4PwsLC2PNw7dmzBxIQS1ZWFvt30U6dOkECQkhpSH9o7Nix7AWc2Vq3bq2ZK0wghJAagFO5FMQKAnssiQkK8emTSLrCp7hJE4jkREiIqFKlX0dHgpWVODAQUuXxecA9JORXkerWhUikvnDAnTNMQ2MHVARJSUm1atWiv8P6+vqqXKEqPT29Xbt29EezNWnSJDY2FjIJQXBwsIuLC114c3PzJ0+eQAIqAnIbTlepjo7OunXrIJY3zp8/Lz/g/s8//0AyD8TFxdWrV48um6Gh4alTpyBBrWni9SArK4s5ARkYGBzBmQ3zNHz4cLquiDZt2kAsQkjRXr586e7uDo0tO21t7dWrV0M+hBBCwgTndCmIFQT2WBITFOLjR7GWFuywaVOIVL3Xr/8dXmcOjaJEpUuL836Ykc8D7qGhv4pUpw5EIvWFA+6cYRoaO6CiefbsWfHixemvsYODw6dPnyBBmUQiUdmyZekPVThVzuiSlZXVokUL+nPJLSSulaoowcHBzs7OdMVaWlo+ePAAEpSPfDl37NhBf7SikEN48+YNfIBK9O3bl/5oLS2t//3vfxCr7jTuepCZmcle+EKVP5nmLS0t7ezZs02bNjU1NSUFs7a29vT0vHLlCiRzatq0aXR1ERMnTsS5ZRBSrIMHD+a2IGqpUqVIpxPyIYQQEjI4s0tBrCCwx5KYoAii4GBR8eKwQw8PcWIiJKjShQsi5qAk4d9pWNLTITU3fB5wDwhgiiTq0gUikfrCAXfOMG2fHVCR7dq1S1dXl/4m29rapv/nCbnIMjIySpYsSX+iwo0bN05lQyht27aFT6WowYMHQyxShAsXLtCDdYSRkVFYWBgkKFlycjLzfL0CLVmyBD5A+dhP8Xp7e0OsBtC468HYsWPh70xRmzZtglhOrVmzxs7ODsqU3ciRIyETp8jloVevXlAmitKQtz8QUraUlBT2WvwySKMT1tuLCCGE8gbndymIFQT2WBITFOLHD5G7O+zQxUUcHAzxKrNsmVhb+9dBUZRo/HhIyhufB9wvXmSKlN/DQUKGA+6cYdo+OyBFOHbsGHyVJU8gqeC2aP/+/a6urlWqVKmqOGRvNWvWvH37NnyGMmVlZXXr1g2qTLK+KyQgxblz5w7UL0WZmJiobMz9+PHj1apVU9SXk+zHy8vr/fv3sHdlEolEkyZNgiqjqGbNmmVkZECaBtCs68Hp06eZx0i7d++empoKCSqXlpa2ePFiQ0NDujC54cmAOxETE8P85KujoxMZGQkJCKGCe/DgQcWKFekGJYOcFnbv3g35EEIIqRE40UtBrCCwx5KYoBCkN96nD+zQ1FSsypc7RSLxqFG/DocO+V/YiccD7iIfHyiPlpZoxw6IReoLB9w5w7R9dkAKwp5Gw97ePiAgABKQHNLe2RPQ9+3bVwWvBWimCxcuQC1Lpsi/du0aJCA5IpFo6NChUFkU5eXllcjJi4zc0aDrQVJSEjlN03/p0qVLf/78GRJU6MePH7NmzaLLIIO0Vfnxd/4MuBMPHjyAYlFUgwYNIBYhlG+ZmZkrVqzQ0dGBhpRdtWrVAvNYnA0hhJDAweleCmIFgT2WxARF+fPPX/tU4QvOImagnw7m5uJTp8RRUeLIyP8OJNvevdk2pwN7DxER//4/JxwcoDx6euLoaIhE6gsH3DnDtH12QIrz999/swdJzpw5AwmIhZwBrK2toY4oatSoUZCAlOPBgweWlpZQ3RS1fft2SEAsiYmJFSpUgDqiqHbt2kGCJtGg68G6devgT01RixcvhlhVef/+va2tLXw8i729va+vb3JyMsnDLNrL4NWAO9G/f3+6YMbGxufPn4dYhNB/iY6O9vb2ppuPvIkTJ+JNEUIIqT046UtBrCCwx5KYoCCiR49+TePu5SWOi4MEpQoJEZuZ/ToWpQbVHBHjyROxri58ND4ioxlwwJ0zTDNnB6RQQUFBZmZm8LWmqOHDh2vUlBT/6ciRI0ZGRlA7FPXXX39BAlKmmJiYUqVKQaVLRpM5nD+Dh27evMn+Eei3336DBA2jKdeD+Ph4Y2Nj+o9drFgx1Z+jL168SH86rX379o8fP4Y0Kf4PuL948UJfX58uW+vWrenfCRBCebh06VKJEiXoViODxB8+fBjyIYQQUndw9peCWEFgjyUxQVGyssQtW/7a7f37EK9UcXH/PtLOfKjygpaWWLUd5qwePX59+tGjEIvUGg64c4Zpa+yAFC0lJYU9X4qlpeWLFy8gTYNlZGQ0a9YMKkUy0/3r168hDSmfSCRirwVqbGx8+fJlSNNsffr0gUqRtNabN29CgubRlOvBtm3bmGkcli1bBrEqFBsbO27cuI0bNyYlJUGUHP4PuKelpXXu3Jkum4GBAZ7QEcoN6QDNnj1bW1ubbi8ySGP/9u0bZEUIIaQZ4BogBbGCwB5LYoICXb0q1tend5tVpw5EKltYmPj338Xz54sWLixoEC9aJOrd+1dVSINo8OB/k+hsZM9Ll4q/foWPU407d8SWllCYWrXE8fEQj9QaDrhzJvsZAAJSjkuXLjEP/xGdO3fOY2hF7W3btg0qQsLHxwcSkGo9efLEysoK/gySuZejNXgmt5MnT5qYmEBdUFTPnj0hQVNpyvWgS5cu8DenKN7Oksz/AXfi999/h8JR1M6dOyEWIST18eNHcqGFRiJn9uzZIpEIsiKEENIkcCWQglhBYI8lMUGhRF5ev/a8dy/E8hkPF01NS/u1Ai0Jvr4Qj9QdDrhzhmlu7ICUhtxGjRw5Er7iFKWtrc3Jw5Tcun79OntMs0KFCpwsT4jY5s2bB38PiXHjxmnaxEevXr2ysLCA46eokiVLyk/poYE04noQEhJSqVIl+g/v6uoaz9dnPQQx4P78+XNmMibNXPcAodycOHFCfuljmqOjI+kbQT6EEEIaCS4JUhArCOyxJCYo1o8fv+Z4KV5c9P49xPMWDwfc9+1jSiLq3FmcmQnxSN3hgDtnmLbPDkjJvn37VqNGDfiiS2zZsgXS1Nr9+/dLliwJx0xRJiYmFy9ehDTEtZiYmFatWsHfRkL1K0dy4s2bN8xwK6Gjo7OP9EaQhEZcD54+fVq8eHH6zz9w4EDe/tYkiAH3rKys8uXL08UrU6YMxCKkwUQi0dChQ3ObPYZcd2NjYyErQgghDQYXBimIFQT2WBITFE10+vS/M57TO2/TRsVTnxcY3wbcg4N/FcPWVox9D02CA+6cYRodOyCVePnyJXv0mRg7dqy6Llx58OBBXV1dOE6K0tPT27p1K6QhPgkNDa1YsSL8nSR69OjB20d+i+jSpUvm5uZwnJI3TubPnw9pSEIjrgfXr183MDCgvwTTpk2DWP4RxIA7UaVKFbp45EQPUQhppFevXlWvXp1uDjJ0dHTWrl0L+RBCSCI6Otrf3/+uxN69e3ft2rVbivz/oUOHHj58SJLIPSQuS66W4AohBbGCwB5LYoLCiURi0vWV7l/k4/NvDG/xasA9KEhUosSvYjx8CPFIM+CAO2eYRscOSIXev3/v6ekJX3oJV1fXa9euQbLAhYSEdOrUCQ5MwsTE5OzZs5CM+Co0NNTb2xv+ZhLOzs7Hjh2DZIGLj48fMmQIHJiEtrY2uZeBZMSiEdeDkydPwheBolavXg2x/COUAffWrVtD+SgqODgYYpGmSkhIiI6OjoqKIl+Gz9kFBQWReJJK8qjZLGZbt25lP2XARq6mfn5+kA8hpGEiIyNfv35NOp09e/Zkr6FUdPb29qRXcPz48Xfv3sXExMDnIUGBv6UUxAoCeyyJCUrSqRPzEaJBgyCShy5cYMr5Kzx4AKmq9PGjuGxZugAiLS3R0aMQjzQGDrhzht38mYBUjnzbhwwZoqWlBd9+ic6dO3/69AlyCAq5g54/f77M4Xh4eLx8+RJyICHIzMycPn06e6VfonHjxuROAXIISkJCwsaNG5lHmWkVKlS4efMm5EByNOJ6cOnSJR0dHfoLsWjRIojlH6EMuLu6ukL5sD+hMcLCwvbt29ezZ8+qVava2tqamZnBN6DgTExMihcvTr5FpA+0efPm0NBQ+AwhSE5O7tatGxyJHNLPw1EwhDRNdHT0woULa9SowV7AKjeVK1du164dOVdMnjyZnAA3ZffHH3+MGzdu0KBBbdu2tbe3h21yZ2VlRXoOv//+O46qCAX85aQgVhCYgSR2UJos1gKqol69IJafoqPF4eGknySOi4MYFQsLE1lYQHXp6op37oR4pElwwJ0z0jNVtoC48+jRI/ZgBa127dpXr16FHDwWFBTUvXt3mSXBzM3N9+zZk5WVBZmQAL19+7Zx48bwF5WqWrXqUSH8QB4VFTV8+PBixYpBuSX09PTWrFmTkpICmVAuNOJ68PDhQ2bB3DFjxvD2bCWUAfcKFSrQxStevDhEIfXi7++/fv16+atCjkqXLl2tWrVatWp1zImHh0f16tXLlCmT2xTnbJ6enitWrHjy5AmUg09u377NrF4gg/SK8BUqhDTK2bNne/XqBaeA7Eh/tH379nPnzj1z5kxkZCRsoAjBwcHHjx+fNGlSkyZNmMcI2MhplnQbBHFLqbHgTyUFsYLAHktigvKkpPw7zs58kKenCIcOc3T9+q9aoijRoUMQjzQMDrhzhtUAfwXEAwcPHnR3d4fGwDJq1KgbN25AJh548+bNsmXLSpQoAeWTIjGkM4mtWM2cO3dOftCP6NOnz8WLFzN5s9T5ly9f1q9f7+zsDOWTMjU1HT9+vGJvcNSbRlwPPnz4UKZMGfor0rZtW97+DiOIAffv3787ODjQxXNzc4NYJHCJiYlXrlxxdXXNcVi8WLFi5cqVI9/G06dPJyQkkCuBqAhzqpJtyR7oT5w4caKLi4ulpSV8EouWlhZJOnr0KLdrjJCi/vbbbzIv9DFIE3j37h1kRQipteDg4G7dusmfJMkZrG/fvgEBAaqfOIt84oMHD7p06cI8VcDQ09ObNm1aVFQUZEX8AH8eKYgVBPZYEhOUbfZs5rNEZmbiz58hHkmI1q//tcasnp5YmK+oI4XAAXfOSM9R2QLik7dv37Zu3Vr+SQUTExNy80tu9EJDQ1X2RCa5EU5JSSF3uK1atbK2toaisFSoUOH8+fNpaWmwAVJTX79+7dOnj/wUtYaGhuQ7MG/evE+fPqly/D09PZ188bp27Vq8eHEoCou9vf3BgwdxfalC0IjrAfmmNm3alP6ukO80b3+QEcSA+6FDh5jzwoIFCyAWCdO9e/dyfIzdzs5u5syZt2/fjlPh+9GkY0HKs3DhwhwfJHd3dz958iRkVQnS92rZsiV8vBwfHx+85CCkCW7evCmzGBdRrFixJUuW8O33ttevX5PrssybyAS5qQsMDIRMiFPwJ5GCWEFgjyUxQQUuX872iTNn8noZVZWJjxdVq8ZUi6hSJXFEBCQhjYQD7pxhzk7sgPjq6tWrgwcPlplTm2FhYdG0adOJEyfu3r37+fPnqampsFlhffr06dSpU+T2tmvXrk5OTvAxckg/bc+ePXhrqbEePHgwfvx4c3Nz+EJkZ2xsXL9+/bFjx27ZsuXx48dJSUmwWWEFBQWdP39+2bJlvXr1KleuHHyMnIYNG27atCk6Oho2Q4WiKdeDefPmwReHog4fPgyxPCOIAfdRo0ZB4Sjq0aNHEIsE5dChQ/KX/OrVq69evZpXP6fv2LFDvlGQS9GGDRuUWs5Lly7JTFLGsLOzE8RUawihIoqMjBw6dCi0fClyG3br1i3IwW8HDx50c3ODckstXrwYx1+4BX8JKYgVBPZYEhNUIzZW3KzZrw+1thZr9or9oh07/n2eXVohouXLIQFpMBxw5wxzamIHJATp6ennzp1r165d8eLFc3ubmUEyaGtr60rp6emRe+e6deuamJhAlK4uySD/HqQ8cptZs2bNzZs3x5KrG0LZZWZmknuNHj16lCxZMscJJNnoryXJBl9BXd0qVarUr1/fwsIC/p3vr6WZmRnZdtWqVeHh4UWZzADJ0JTrgb+/P/PMl6enJ8TyDP8H3L9+/cpMzkMa5Pfv3yEBCcH79+9r165N//lo5OzcsWNH8meFHHwVFRU1atQo0rOBckuUK1fu7t27kEMRyOVt1qxZuV3Y6tSpg7OVIaQJrl69KjNDS61atYT7hDg5T5YqVQqORMLZ2RkfeOcK/A2kIFYQ2GNJTFCl48fZHy3q1EnM6Yxz3HjzRuzk9KseKlTAaXYQDQfcOcO0R3ZAwhQWFkZ6Tbt27Ro6dGj58uXlXxksKHt7+/bt269Zs+by5cuf8XSNCuXHjx8PHz48cODA2LFjK1eubGZmBl+vwipZsmSLFi2WLl164cKFDx8+qH5KTI2iQdeDDh060N8wbW3tU6dOQSyf8H/AnVwtoGQUtWrVKohFvLdgwQL4s0kNGzYsPDwckoUjJSVl5syZcAxSEydOTE9PhxyFEhgYWKtWLdidHFJ7uC48Qppg/fr1uqy5FI2Njf/66y9IEzhykly+fDn7Aa7ixYufOHECkpGqQO1LQawgsMeSmKBiaWmiESPYBRDNmCHWkAt0eLioTp1fx66nJ9q1C5IQwgF3DjGtkh2QBiCNDsfQEd/ExMTgUzW8okHXg/DwcOZlinr16vHwlxyeD7inpaUZGxvTBStfvnzRZ49CyhYXF9evXz/6T0arVKnSw4cPIVnI3r9/LzOrcrNmzcLCwiA53w4ePMh8q2U4ODjwagl7hJDysH9OJipUqPD27VtIUy/nzp1jr4ZkZGR05MgRSEPKB/UuBbGCwB5LYgInYmLEtWtnK0b//mI1Hlh89Urk4pLteGfMgCSEpHDAnTPstskEhBBCSKMG3EUi0Zw5c6ADQlHk7hoSeIPnA+5eXl5QLIpSm4f+1FVcXFy7du3gryXRuXPnhIQESFYXKSkpEydOhCOUqFKlSn6G3TMyMvr37w/byOnUqRMuD4KQhrhw4YKRkRE0foqqX79+TEwMpKmvFy9esJentrS0JDGQhpQJalwKYgWBPZbEBA4FBYnq12cXRtSo0b8zrqiTU6fEJUtmO8bJkyEJoexwwJ0zrBb6KyCEEEIaNeBOJCQkkHtp6INQ1Bue9csbN24MJZPy8fGBNK79/vvvzPsBo0ePhljES+RrQ/+laFOnToUE9bVt2zY4WolOnTrldo/x9OlTV1dXyJedrq7u2rVrIR9CSN19//7d2dkZ2r9kSWS+9QqU7ebNm6ampnD8kh8bcHRG2aCupSBWENhjSUzgXHKyqE+fbEUyMBDPmSMu2kRzHAsJEbVqle2gDA1Ff/4JqQjlBAfcOcNuqkxACCGENG3AnQgICDAxMaF7IVZWVikpKZCgZN++fatcuTL9uYqyYsUK2LuS3bp1ixltr1mzpiY8/SdQJ0+epP9MtM6dO0OCZpg6dSocucS6desgQfKCy59//pnbgqgVK1b08/ODrAghDbBy5Upo/xRlYGBw+fJlSNA8v//+O1SExD///AMJSAmglqUgVhDYY0lM4I9Dh8TW1tnKVry4aMkScWIiZOA90evX4oEDsx0CCU2aiPHtE5QPOODOGZk2SweEEEJIAwfcCT8/P+iGUJSzs3NISAgkKFNAQAB71lSFGD58OOxdmR48eACfJ3kA8P3795CA+EQkErGnJCpbtizpeUOaJklISKhTpw7UAkW5uLj4+/v36NED/i1n4MCB6jfTDkIoD9HR0aVKlYJTAEV5eXnhkASpk9KlS0ONUJS3t3eicIYphQWqWApiBYE9lsQEvvn5UzRsmNjISKacop49xe/e8XF51dhY8alTIldXmQKLixcX790LeRDKBxxw54xM46UDQgghpJkD7sTp06eZZ13Lli0bGRkJCcoUGBi4YcOG9Yqwdu3aY8eOwX6V6cqVK3p6enRFmZqafv/+HRIQn5w6dUpXV5f+MxE4Lwpp4EyFkC+whYUF/f8MKyurHTt2QG6EkMZ49OiRpaUlnAgo6vz585CAJE/9a2lp0TVjZ2cXFRUFCUhx6OplQKwgsMeSmMBbERHiNWvkR97FVlai3r3FDx5ANk5kZYlJP61GDdmykeDqKv7nH3FmJuREKN9wwJ0zMq2YDgghhJDGDrgThw4dYsbctbW1X716BQlIat++fcy9t4GBQWBgICQgPpkxYwb9NyJcXFxU88YG/yUmJnp6ekK9SOYmNjc3J/9TrVq1L1++QCaEkCbZv38/fUIgSpYs+fLlS0hAUqdOnYIKoihjY+MbN25AAlIQqFwpiBUE9lgSE4RAdPmyuGNHkbm5bOEl4d/x95MnxeRsEB8PGyjW9+//ju//+afIzU3moyGUKSP63//Enz5BfoQKBQfcOSPToumAEEIIafKAO/HhwwcDAwO6R6Kjo7N7925IQGLxyJEj6ZohqlativO281B6enqHDh3gj0RRzZs3hwQkNXz4cKgdivLw8EhKSoIEhJCGWbduHZwLJG+24VxSufn06RPzVpCxsfH9+/chASkCXbEMiBUE9lgSE4QlK0v8+rV49myRjY3sgTBBX19saysuW1ZUp46of3/RH3+Iz58XP38uFolgJ/JCQsSPH4sPHRLNmSPq1ElcpYq4VCmxpaXsnllBVKOG6MCBf8fiEVIQHHDnjFwD/zcghBBCGj7gTkRHR7u5uUGvhKJatWqVnp4OaZrq27dvzs7OUCMU1aNHD0hAfJKZmdm6dWv4I1HUvHnzIAFlt2nTJuZdlsqVK+OYO0Ia6MiRI8z0aFWqVMnIyIAElJOXL19aW1vT1UW8fv0aElCRQZ1KQawgsMeSmCB079+L1637d6lSNzeRjo7s0SkiiKysxE2biseNE/v6ilNS4HMRUjQccOeMXKv/NyCEEEI44E5bvHgxdEwkMz6rZnp0fmJXhb6+/tmzZyEB8UyjRo3g70RRkyZNgliUky1btkBNUZSrqyvEIoQ0w5MnT5jp0VxcXIKDgyFBQT59+uTt7V2iRAkbqQYNGoSHh0OyImRlZZFiT506tUyZMlZWVsbGxqSvQg6KZmRkZGJiUrx4cfK5R48eVcjPil++fCF9ALrSzMzMcCYuRaGrlAGxgsAeS2KC+snIECcnixMSxG/eiE+cEM+fL+rTR9S+/b8TwtjYQDAzE1tYwP/b2Ym9vMQdOoiHDBFv2iQm3ebISHFiojg1Na+H4hFSNBxw54zMWZEOCCGEEA64MyIjI6tWrQrdE8mTsKGhoZCmGR48eEBu4+H4KapFixaZuGoTX/Xs2RP+ThQ1bdo0iOUN0r/fvHmzj48PKWfHjh27dOkyevToSZMmkcigoCDIpFq///471BdFNW3aNAWfMkNIM8THx5uYmNBt38zMLCIiAhKK7P79+15eXvSeZRQrVuzu3buQr2g2bdrEftg8/8i59927d7CXQgkICIB9SZbBSExMhARUBFChUhArCOyxJCYghPgBB9w5I3NWpANCCCGEA+4y9u/fz7x1TrRo0UITeirh4eGlSpWCY6YoS0vLhw8fQhrinx07dsCfiqLGjx+flZUFCfxw8OBBKFxOPDw8oqKiIKtqLV++HApBUStWrBDho2cIqbuMjIyGDRtCs6eoc+fOQUIR3Lx5s0qVKrDHXChkwH3RokWwOzm2trbOzs6urq6kJE5OTjY2NpAgp3nz5kXpxqxevRp2RFGzZs3C02bRQW1KQawgsMeSmIAQ4gcccOeMzFmRDgghhBAOuOdo/vz50E+RqF+/vro+7f7s2TN7e3s4Tonjx49DGuKlL1++MCv9Vq9eXYFPayrE//73P7psualVqxZXA+7p6ekNGjSgi6GlpfX06VNIQAipqb1792pra9Otfvbs2RBbKPv37y9Tpgy9KxnkMqqrqwv/kCjigHtkZCTZA+yLZe7cuXnMVEMuB3369IGsLKRs165dg0wFlJGR0axZM9gRRX3+/BkSUGFBVUpBrCCwx5KYgBDiBxxw54zMWZEOCCGEEA6452HKlCnQW5GoXLny1atXIU34du3axbxlT+jo6JAYSEM8Vr9+ffpPZmRkdPv2bYjlgZSUlE6dOtFloxUvXrxz587wDykOB9yJb9++kXqjS+Lg4ACxCCF1RE417u7udHsvWbJkoedXGT16NL0TNn19/XHjxtE/xj969AhipYoy4P7ly5cSJUrAjqTatGkDyf/l69ev7FfWaFZWVoX+ifHKlSvMZO5eXl4QiwqLrkkGxAoCeyyJCQghfsABd87InBXpgBBCCOGA+3/avn07M0JH69ixY0hICCQLTUBAgKurKxyJBLmxv3fvHiQjfjt27Bj82Siqe/fuEMsDycnJ1apVg5JJ2NnZZWRkrFy5Ev4txe2AOzFz5kwoCkWtWbMGYhFCaufQoUPQ1Clq4sSJEFtwTZo0gb1Ifqgju5WZWUWBA+6xsbF16tSBvUgNGzYMkvMnODjY2dkZNpby9vZOTU2FHAXUuHFjeie6urrXr1+HWFQodE0yIFYQ2GNJTEAI8QMOuHNG5qxIB4QQQggH3PPp/fv3TZs2hc6LhI6OTvfu3b98+QI5+O3JkyfseWxpI0eO5NuEJCgPWVlZHh4e8MejqG/fvkEC1wIDA9nL7RJeXl7p6ekkiT1tOo3zAXf2CopVq1aNjo6GBISQemHmQrG0tHzx4gXEFtyjR4/Wr1+fxx4UOOC+f/9+2IWUvb19IUZM9uzZo6WlBbuQKvRD99evX4ddUNSQIUMgFhUK1KMUxAoCeyyJCQghfsABd87InBXpgBBCCOGAe0GdPHmyYsWK0IuR8vT0PHHiBN/6NN++fduwYUPp0qWhlFIeHh64JqoQ3bhxw8zMjP4jDhw4kCdrpd66dYs9NxHRv39/SOPlgDsxd+5cujDa2tqk5UIsQkiNJCcn082cIFdtiFUOBQ64m5ubwy6kFi1aBGkFJD8vTefOnSGtgBITE5l1WWvUqEHqFhJQwdHVyIBYQWCPJTEBIaRapP9PbjljYmK+f//+4sWLgwcPzps3b+rUqWPHjoXTCkuzZs1mzpxJUsml5PTp02/fvo2IiCDbktM4LoKtMDJnRToghBBCOOBeOKSP8uTJE09PT5knyHR1datVq0a6PuTuVPXjoenp6dHR0aTXZW1tDQWSIgVr27ZtcHAwZEUCxB685snatlu2bIECSW3YsAHSJPg54H716lUoDUVNmzYNYhFCauTw4cPQyCVrjUKscihqwP3BgwewPUtsbCwkF9D48eNhF1KkVJBWQJmZmYMGDaJ3Ym5uzqvlQwSHrkYGxAoCeyyJCQghZQoMDNy6devAgQNr164t8zqpQtjZ2TVq1GjEiBG7d+/G954LSeasSAeEEEIIB9yLLiQkZMuWLZUrV4aeS3bVq1cfM2bM/v37lTH5TEBAwIYNG/r27VumTBn4vOzq169/9OjR+Ph42AAJVlJSUtu2bek/K+kcF3r1PwWSeZTG0NDw77//hjQpfg64BwcHV6lShS5PjRo1Cj2ehRDirYULF9JtnJA/NSmWogbcZ8+eDdtLOTk5paWlQXIB7du3D/YiRc7ST548geQCWr9+Pb0TbW1tnvziK1B0NTIgVhDYY0lMQAgpTnp6up+f34IFC+RfUWKzsbEpXbo06cE2aNBgypQp5GbwwIEDFy5cIHcHb7J79erVP//8Qy4HJM+oUaOaNGlSrVo1sq2lpSXsKyelSpVauXLlixcvMjMzoWQoDzJnRToghBBCOOCucKdOnerSpQvpqUCfJRdGRkZubm79+/dfsmTJtm3brko9ePDg5cuXN27coP956dKltWvXTp8+vVevXrmNqjO0tLRcXFyGDRuGi6Cqn/DwcPLHpf/QpHvN7RhxVlYWM/pPMzAwIN16SGbh54A70b59e7o8FhYW379/h1iEkLoYOnQo3caJx48fQ6xyKGrAvUOHDrC9VJMmTQo93vHixQvYi5Surm6hJ9E6fvw47IWiSKcFYlHBQSVKQawgsMeSmIAQKrJDhw7Vq1eP3BvCeYGF3Nx169aNnLpfvXr148cP2EBxIiIinj9/vnPnzhYtWsBHZmdmZta4ceNz587BBkiezFmRDgghhBAOuCtVSkpKUFDQ2bNnR40a9Z9D8AVFemDVqlWbO3cuuasPDQ3lyYzeSEnIF4mZKahNmzb0kqScyMjIcHR0pEtCq1SpUm4/APB2wH3AgAFQIIoSytLHCKH8Y48dfP36FWKVQ1ED7uxlsWk9evQo9MWdHDXsRUpXV/fo0aOQXEAXL16EvVDU4sWLIRYVHFSiFMQKAnssiQkIoUJ59uwZuy/KsLS0HDp06PXr1yEfF86fPz9o0CBm6Q62yZMnf/78GfIhmsxZkQ4IIYQQDrhzJT09PSgo6Pbt28eOHTt06NCaNWuWSkydOrVv374LFiyg/7lx40Zye3zixInHjx/jc7ia7P3799DVpag+ffpArMq9fftW5i3UZs2a5bGAHm8H3CdNmgQFoqj79+9DLEJIXfTv3x9aOEUFBARArHIoasDdzc0Ntpfq3bu3AgfctbW1N23aBMkFxH7CffPmzRCLCg4qUQpiBYE9lsQEhFBBPH36VP5Ub2Ji8r///S80NJRvC5mSC1BwcPD48eMNDAygrBLkatKgQYNv375BPg0nc1akA0IIIYQD7ggJwqdPn5jObs+ePTnpkV9lrTVKGzNmDKTlgrcD7swCgASpW4hFCKmLBQsWQAunqPPnz0OscihqwL1GjRqwvVRRppT5/Pkz7EVKV1e30NPZb9q0CfZCUYcPH4ZYVHBQiVIQKwjssSQmIITyISEhYdy4cdDsperWrSusJTG2b99eoUIFKL2Evr4+udpmZGRADs0kc1akA0IIIYQD7ggJwvfv38uWLUv3bps3b57HQ+VKsnLlSvrTGVu2bIG03PF2wL1Lly5QIIoKDg6GWISQuti1axe0cIpav349xCqHogbcZdbGIBo0aFDogQxSANiLlIGBwe3btyG5IEQikY+PD70TIyOjq1evQgIqOLoaGRArCOyxJCYghPJELhAyK6CWLl361q1bkCxMvr6+MgdVpUqVjx8/QrKmkTkr0gEhhBDCAXeEBCE2NrZevXp0p7ZGjRrh4eGQoHyZmZnyT+Xkc/Ukfg64//z5s3HjxnR57OzsIiIiIAEhpC5Iu6bbOEFOOxCrHIoacB89ejRsL6Wvr5+WlgbJBbRlyxbYi5SxsXFcXBwkF0RSUlK5cuXonVSpUkUZC/dpDroaGRArCOyxJCYghHKxe/duMzMzaOoSq1evVv0TM8oTHR09fvx4ODYJe3v7M2fOQLLmkDkr0gEhhBDCAXeEhGLChAnQn1XhtOMikahJkybwqRKGhob5n7RxxYoVsJlUrVq1YmJiIJkjz549s7KyosvTtWvX1NRUSEAIqRFytqGbuY2NjVJnjlLUgPuJEydge5ZCT0Dfpk0b2IVU3bp1Ia2A3rx5A7uQrOMKsahQoB6lIFYQ2GNJTEAIydm5cye0cAlra2v1HobeunWrsbExHC1FmZubnz59GtI0gcxZkQ4IIYQQDrgjJBSHDh3S1tam+7JLly6FWCUbMGAA/YkMd3f3+vXr18uHhg0blipVCjaTMjU19fT0hBwSnTt3fv36NXyeShw4cABKQ1GFXkIQIcRza9asoZs5OXOuXbsWYpVAUQPuP3/+hO1ZRo8eDckFER8fr6+vD7uQ+vPPPyG5gMaMGUPvgdSkr68vxKJCoWuSAbGCwB5LYgJCiOXBgwfk/A/Nm6LKlCmj4i4uhy5cuMA8zkLY29u/ffsW0tSbzFmRDgghhBAOuCMkFJ8+fXJycqJ7sa6urqpZoYh5RFSpVPmYeXp6evv27enPtba2fvjwISQghNRLaGgoc86sUaOG8iaPUtSAOzF27FjYhZSVlVV0dDQk51ufPn1ge6mqVav+/PkTkguCXHqMjIzonVSqVAliUWHRNcmAWEFgjyUxASEkQU7Ubm5u0LAla2bkc/ZFNbN3715dXV2oBYpq0aKFOs2ikzOZsyIdENJI8fHxr169ev369dOnT8k58CzLmTNnbty48fLly4CAgKCgoKSkJNgGIbWG1wOEBIM9VeKhQ4cgVplGjRoFn6dMhX7ushAePnwInyoZ6IdYhJA6Yi8jsXnzZohVNAUOuAcGBhoYGMBepNq0aZOZmQk58mHv3r3M61CMY8eOQXIB9ezZE3ZBUVeuXIFYVFhQlVIQKwjssSQmIITE4u3bt2tpadGNmvyPslfq5jmRSMRe/ElHR+fy5cuQppZkzop0QEhNJScnh4WF7du3r2/fvpaWlkZGRnp6etDaC4WcIvT19c3NzatWrTpr1qx79+7Fx8cXegUjhPgGrwcICUZCQgK5JtEXpxIlSqjmIfeiWLt2LV1aRp06ddLT0yGZC5UrV6ZLoqurqznv+SKkmWJjY8uXL083eSIwMBASFEqBA+6Er6+v/Jh7pUqV8vka0MSJE2EbKXLV2LFjByQX0PHjx5mx++7du3N79lYPdGUyIFYQ2GNJTEBIsyUmJlapUgXaM0WVK1cu/wsdqbf379+zZ9dp27YtqStIUzMyZ0U6IKQu3r59u3Tp0saNG7NfXsmNlZVVgwYNGjZs2KtXrzFjxoxmIf8cNWqUlwTp1srPfCjP0dGxX79+hw4dUv8XZZD6wusBQkKyatUquARR1Pjx4yGWr9iPl9Jq1aoVFRUFySq3ZMkS5hEk/tceQqjoAgICmFZfqlSpwj0yk5SUFB4eHpGLixcv0vtnmJubnzlzJjIyEnJkBzvN3fbt22FH2bm7u9+7dy82NhbySaWnp798+bJ58+aQj8XIyOjSpUuQr4DIIZuZmdH7qVChQnBwMCSgIqDrkwGxgsAeS2ICQhrs6dOnJUuWhMZMUevWrYMEJDVhwgSoHYpydnYOCwuDBHUic1akA0KClZCQcOvWrfr160PTzY70DCtWrNi9e/cdO3Z8//4dtimyrKysR48eLVq0qF69eqS7Lv+mJkH6tNOnT//48SNsg5AQ4PUAISFJSUlhpiDX1dXl+Qv+vBpwv3//vqmpKV0Md3f3wk1njBASnH379tENnyjERFKrV6+GjRXE1tb23bt3sPdckFN9u3btYINc6OjoML8l5GjgwIGFfhEqMzPTwcGB3o+enl6hR+2RDLpKGRArCOyxJCYgpKn+/vtvZkjIzMzs4sWLkICy27BhA11LhL6+/uPHjyFBbcicFemAkNA8f/7c29tbvmNJmi3pT5JTXEhICGRVFVKkLVu2NGjQAIrCUqJEicmTJ6tsETiECg2vBwgJzMePHx0dHemLja2tbVxcHCTwD38G3JOSksqWLUuXgdwX4VqpCGkOkUg0e/ZsuvkT5LYhKysL0vJh+vTpsKWCWFtbP336FPaeJ1Ly+fPn5+cdXjZnZ+cTJ07ALgolOjqamX2LOHr0KCSgIoM6lYJYQWCPJTEBIY3Efg/JxsYGn7jM27Nnz5jpI8zNzdVtSneZsyIdEBKIkydPuri40M2TUbp06fHjx/Ntgixy6mjdurX8vIv9+vV7+/YtZEKIZ/B6gJDw3Lp1ixmCsbKy4u0y38uWLaMLyfDw8FD9gHtqaqqdnR1dAC0tLRw8QkgDDR06lD4JEIMGDYLY/Hn9+vUDBXn48GFMTAzstyAyMjL27t1LjqJVq1YVKlRwdnZ2dHQk/9O8efMBAwYsXbpUUYtSkAtKkyZNoKYoateuXZCAFAGqVQpiBYE9lsQEhDQP6UYyw8c2NjZ8fvCFP+7cucPMUUZq78mTJ5CgBmTOinRAiN++fv3q5eVFN0lGjRo17t27V6CnUjgRHx+/ceNGY2NjKLcE+eecOXMgB0K8gdcDhATJ398fLi8UVb58eX7OrhseHr506dJeUmPGjLl+/bpIJIJklYiIiGCvZ4Wj7QhprG7dusGJgKJq164dHR0NCUjqx48fFhYWUEcUtXz5ckhACgI1KwWxgsAeS2ICQhrm6tWrenp6dPu1sbF58+YNJHAtJSXl5MmTpNfdtWtXZ2dna2trupAMW1vb6tWr9+7de8mSJTdu3IDNVOj+/fvMo6lGRkaqn55CWWTOinRAiK9+++03uhkymjdvHhAQAMlCs3///hIlSsCRSJATnb+/PyQjxDW8HiAkVP/88w/ziI2hoSF/Ov38ERwcbG9vT1cRzdzcfNOmTYmJiZADIaTuzp8/X61aNTgFsNja2oaGhkImJBlIMjExgdqhqJs3b0ICUhyoXCmIFQT2WBITENIksbGxxYoVoxuvlZWVn58fJHAkIyPj2LFjNjY2dJEKqkePHrAjVSGXFfhsiipbtmxmZiYkCJrMWZEOCPHMz58/R4wYAc1PwtLS8ujRoyp+Ek5JEhIShgwZoqOjA8cmueXHx+wQH+D1ACEBe/nyJXt8ZOfOnZCAxOJLly7lsaKgnp7e0KFDw8LCIDdCSI2Q+4c7d+4wKzfkAR/ipo0cORJqhKIcHR0DAwMhASkUVLEUxAoCeyyJCQhpkjp16kDTpagtW7ZALBfCw8PZc3/lyNjY2N7e3s7Ojln5SYazszPsToXYyzsVdHo3npI5K9IBId6Ii4vr3LkztDqJunXrfvnyBZLVy6FDh8zNzeE4KUpbW3vdunWQhhAX8HqAkLAlJydXrVoVrioU1bVr14yMDEjTVJmZmePGjYMaoSj2bxI5atq06bVr12BjhJCQnTt3zs3NDdp2Ttq2bXv79u0WLVrAvyVrQ4WHh8P2msfPz4+ZWpdQkxEQvoJaloJYQWCPJTEBIY2xevVq5jGOIUOGQKzKiUQi9vRoDFK2Tp06vXv3DvLljtwm+Pr6jhkz5tatWxClQomJieQqDIWmKHLJhgThkjkr0gEhfpBZ+b9Xr14pKSmQpr78/f3LlCkDxyx5IenSpUuQhpBq4fUAIXUwc+ZMuKRI3LlzBxI0z9evX9m/bA8dOpR5ZXXp0qUyM8zIsLW1PXjwYGpqKp0fISQU//zzT24P8dHatWsns9YF2YT98mm/fv2Sk5MhTTPExsY2atQIjp+iLCwsXr58CWlIOaCupSBWENhjSUxASDOEhoa6uLjQzbZYsWJcrZz04cMH+Te3jIyMhDVzwqVLl5hfeRs3bpyUlAQJAiVzVqQDQlwjt7Ta2tp0QyPq1aunaWsXkVONpaUlHL/knZ6YmBhIQ0hV8HqAkJoICQmxsrKCSwpFeXl5xcbGQppmSEtLGzhwIBy/xJMnTyCNJSMj4+bNm+XKlYNMOSF3AhMmTPj58ydsgxDipX/++adUqVLQbnPSqVOnPEZGMjMzx48fD1klb56uXbsW0tRaamqqzNlyyZIlWVlZkIyUBqpbCmIFgT2WxASENMOaNWug0VLUrFmzIFa1yLVM/nfldu3aQbKgNG/eHA6Aos6fPw+xAiVzVqQDQtwhfbzGjRtDA6MoOzs7TZ4ncP369VARkjeBli5dCgkIqQReDxBSKzIrjw8fPlw91kL5T+TyCccsMWrUqPT0dEjL3dOnT3v27Anb5KJbt245DtwjhLji6+vLPGyYox49euTnzXpadHR0/fr1YUuJuXPnQprakZ/Ks1+/fmlpaZCMlAwqXQpiBYE9lsQEhDQAuUbUrl2bbrN2dnb+/v6QoFoeHh50GRg+Pj6QJjR3795l3jBr1qwZxAqUzFmRDghxZMeOHewH26dNmwYJGiwyMpK9AoeTk5OmPeyPOITXA4TU0KBBg+CSIkH+KfgXNnORnp4+b948OE6Jxo0b52eoXcbPnz+nTJnCfkVAXrly5c6fP89MUIMQUiXSro8cOVKyZElokHL09PRat24dEhICGxRQaGhow4YNYV8SXbp0IX10SBa+Dx8+yMxu36FDBw35RZY/oOqlIFYQ2GNJTEBIA7x9+5aZvb1p06YQq1orV66kC8CoVauWoN9kLVGiBH0g5NqdkJAAsUIkc1akA0IqR25Rx44dSzcromzZskFBQZCGsr+opKOjc+/ePUhASJnweoCQeiK9cG9vb7iqSJCbBHUaPEpOTu7Vqxccm4SHh0doaCgkF1ZKSsqJEydsbGxgpzmxtbVduHAhbIAQUrJdu3Y5ODhA88vJoEGDvn37BrmLhtz2DxkyBPYrYWlpuW7dOkgWIJFI5OPjY2BgAMcjMXfu3EL8MImKDv4AUhArCOyxJCYgpAHIJQBaLEUtW7YMYlUoKyurUqVKUAIJLS0tYc3bLm/MmDH0sWhrax86dAhihUjmrEgHhFQrMzOTeRGHaNWqVUZGBqQhqdevXxsaGkIdUdSmTZsgASGlwesBQmqOPUMxYWBg8Mcff0CaMB07dox5LobWtWtXZax2eP369RYtWsBn5GLYsGFv376FDRBCirNnzx47OztoaTkZNGiQ8lau27dvn8x5plSpUlu2bBHKROexsbHLly83MTGB0ktUqlTpxo0bkANxAf4SUhArCOyxJCYgpAGYxzuMjIzu3LkDsSp05swZmZO5q6trREQEJAvTuXPn4GAoatKkSRArRDJnRTogpEIxMTHOzs7QnChq8uTJkIDkhIWFlS9fHmqKo99QkUbB6wFCGuHvv/+2sLCAa4uEnZ3dyZMnU1NTIQe/ZWVl3b17t2rVqlB6CVNT040bN0IOZYqNjR0wYICxsTF8cE5q1qx5//59XHUQoaJISUnx9fWVOVmx6enp9ezZk9xawAZKlp6ePmLECPbjMISOjs7w4cM/ffrEt/lY0tLSXr161bZtW/b0nYSZmdmKFSvw7MQH8CeRglhBYI8lMQEhDVCvXj26wZJuJznzQ6wKkSsOXQBGq1at6KTw8PArV67873//Yw8h5cjJyWns2LEPHjygN+Tc06dPoWSS1ZIgVohkzop0QEhVyF2qp6cntCWKWr16NSSg3FWsWBHqi6KWLFkCsQgpAV4PENIg0dHREydOhMuLVIkSJaZOnfrz50/IxCfp6ekrVqwoXbo0lFWqb9++ippBokASEhK2bNlibm4O5chJ2bJlBT0BBUKc+P333/OYn52YPHlyoednLzpy8ly7dq3MxCxEsWLFunbtyu0QxsWLF729vfX19aFMUqQ+9+3bhwui8gr8baQgVhDYY0lMQEgDMHOakRO+Mt6nzFtGRka3bt3oAjDKlCkj8wxKgVSqVMnPzw8+gCOkGw+loaj69etDrBDJnBXpgJBKZGZmNm3aFBoSRc2ZMwcSOBIYGHj48OHNmzdPmjRp4MCB9erVGzp06OjRoxcvXnzt2jX+LISWmJjIvBOgra1NeviQgJCi4fUAIU2UkJBALoSWlpb0lYZhZ2e3cePGL1++QD4ukE9ft26d/CC7gYHBgAEDlDeDREGdPn26Vq1aULhczJw5kz8FRohv0tPTt27dmse7I7q6uqSbHh8fDxvww927d3v27JnjY/g6Ojr9+vU7duxYQECAMn7FJFXx+PHjvXv3duzYET4yO0dHxxEjRrx//x42QDwDfycpiBUE9lgSExDSAOwBd9W/GBoXF+fl5UUXIA9WVlZ16tQh1yZyCWC0atUqjxVQ3NzcyM7hY1QOB9wRKrqhQ4dCK+Jiaqbk5GRfX1/2iH8+NWvWjPSlYS8cCQ0NZdbGIHcijx49ggSEFAqvBwhpNHLncPbsWQ8PD11dXfqSwzAwMHBycpo3bx7pE5NsSpo8gew5IiJixYoVFStWNDIygs+W0tbWdnFx2b17Nz8fwKeR+uncubOOjg4UWg5JatKkCQ6BIUTLyMjYtGlTHm+KkNPRqFGjEhISYAO+ImfF79+/L126tGzZsnp6elD67MixmJmZWVtbk279gAEDlixZ8s8//zx//jw+Pp4cIEFObikpKUlJSfQ/Y2Nj79y5c+bMmVmzZvXq1atcuXJkWxMTE5lZYhjkRF25cuVt27ap05rYagz+bFIQKwjssSQmIKQBmKUITU1NP378CLGqEhISUr16dboAbOTi0rVr1zdv3pArCGTNHelpsyedYFSoUCEsLAwyqZa/vz8UgqK6d+8OsUIkc1akA0LKt3//fqbz2aBBA4hVCV9fX9K5pT+60EgPdu/evbBHLly7do2c1enCkJ58fs6lCBUUXg8QQr9cunRp+PDheTxwam1tTa7oPXr0mDx58h9//HHlypXAwMDY2FjYPifR0dHk/uTmzZvr16+fOnVqz549GzdubGtrC3uUQ24h+vXrd/LkyfT0dNiFQERGRi5atEh+Ygc2Nzc30j2CDRDSJFlZWYsXL867gz5r1iyubv4V4uvXr0ePHiVHUb9+fTgkhTIxMfH29ibVePr06e/fv8OnIuGAP6QUxAoCeyyJCQhpgL59+9INlpNFU2NiYho1akQXgFG4Sc9nz54N27MMGTKEk3ke2Ium+vj4QKwQyZwV6YCQkr179455HdzS0vLz58+QoHyvXr2Sf8vTwcFh5syZpF2TnjAzmWFERMSTJ098fX3r1q0L+eQMGDCAzswJ0qOGclBUnz59IBYhxcHrAUIoV/7+/v/73//q1Kljb28P1yJFs7Oz8/DwIN19NXuTa+/evS4uLnCQOTEwMFi2bFlUVBRsgJCaio+PX716dW4PaBNmZmZTpkzJyMiADdQUueu4du3arl27fHx8pk+f3rJly6YS5ATr6upav359+p/du3cntTFjxgxyDiF3KSpbHhapBnzppSBWENhjSUxASAOsW7eObrBaWlqk5waxqpKent6pUye6AAxysYDkAmrQoAHsQor0w1U5VMcYO3YsXQBSq/v27YNYIZI5K9IBIWUSiUSzZs2iWxCh4sXDvnz5UqpUKfK5JUqUWLBgQf4n2vrf//5HF1jGqlWrIAcXKleuTBcDJ5ZByoDXA4RQAcTHx3/79u39+/cXL178448/hg4d2rhx41q1allZWdHXKhnm5uaenp5169YdNGjQmjVrzpw58+7dO7IHDmeNVLEXL16Q+yKojpwYGBi0bdsWH1ZF6mf+/Pk5TnROI/fYc+fO1ZxTAUIEfPulIFYQ2GNJTEBIA7x58wZabBFGugtNJBL169cPPl6qdu3ahZtrccqUKbALFtJThWQVKl68OP3p+vr6fFuppWBkzop0QEiZQkJCDA0N6RZUqVKl8PBwSOC933//nS42W4kSJSCZC2fOnIFyUFTnzp0hFiEFwesBQgipAukbjR07VktLCy7pOWnYsOHZs2dhA4QEiNw2z507V349Boa2tjbJkJSUBBsgpEmgGUhBrCCwx5KYgJAGiIqKYiZAd3R0fPnyJSSoypIlS+hPZ9ja2j5+/BiSC2Lz5s3yHdHnz59Dsqrcv3+fWfpI9b9hKJjMWZEOCCkT83g7ac6LFy+GWCGIjIyUX/bM2tqaw4lk2dN2WVpaPnjwABIQUgS8HiCEkKqtXbvWzs6OvrTnyNTUdMeOHQm8XzQSIRrprc6cORO+vjkhXdglS5ZkZWXBBghpJGgPUhArCOyxJCYgpBl+++03aLQUtXTpUohVFX9/f+Z5cMb69eshuSDatm0L20vZ29urfkqZjh07wsdTlOAfNJE5K9IBIWVipi01NDQMDg6GWCGIjo6Wn2SyWbNmkMyRRYsWQVEoatOmTRCLkCLg9QAhhDhz8+ZNd3d3uMLnxNTUdPDgwXkvS4sQVzIyMnx8fJgl/uXp6uquXbs2MTERNkBIs0HDkIJYQWCPJTEBIc3w7du3ihUr0s22ePHioaGhkKAqtWvXpj+dUapUqYKuA/To0SP5GSBVv2DptWvXzM3N6U9v0KCB4HsIMmdFOiCkNG/fvmXeU/Hw8IBYgRg/fjxdcrY9e/ZAMkcuX75sZmZGF6Znz575n5Ueof+E1wOEEOLex48f+/TpQ1/pc9OiRYu7d+/CBghxJyIiYs6cOfC9zImFhcWSJUsgN0JIClqIFMQKAnssiQkIaQz2VW/06NEQqyrfv3+Xfyy0fv36kJwPL1++lJ/trWzZst++fYMcKpGcnNy5c2f607W0tE6cOAEJwiVzVqQDQkqzfft2ugURK1asgFjey8zM7Nu3L5SbZfPmzZCDO/Hx8dWrV6fLY29vL6A58RH/4fUAIYR4JCkpacGCBcWKFaOv+jmytbU9evQo/vyOVIz0R0ePHq2rqwtfRDlWVlZr167FbyZCuYGmIgWxgsAeS2ICQprEzc0Nmi5F/fXXXxCrKtevX4fPZiHdxfxM5j5jxgzYgMXU1DQsLAxyqMrGjRvh4ymqd+/e6jDRnMxZkQ4IKQ17CscjR45ALI9duXKlRYsWUGIWQ0ND/swoVa9ePbpU2trawpqlB/EcXg8QQoiPRCLR8ePHy5YtS1/+c2RjYzNlyhRcfxIpVUJCwrBhw/T09OBrJ8fMzGzbtm0ZGRmwAUIoF9BmpCBWENhjSUxASJNER0czD4kXL15c9aunnjp1Sn69QVqNGjXWr1//5MkTUqp37949ffr0zJkzHTp0yC3/kCFDVL9K4ePHj+HjKap06dJpaWmQIGgyZ0U6IKQ0vXv3hlZEUZyv8JmcnLxly5ahQ4eSOwXaiBEjSAlr164t/0oNo3Llyg8fPoRd8EPLli2hcBQVGBgIsQgVGV4PEEKI7549e9a6dWvoBeSiT58+AQEBsAFCRRYaGurj4wNfr5zY2dn9/vvvkBshlA/QeKQgVhDYY0lMQEjDXLhwAVovRZUvX17F87EQaWlpEydOhBIUyvDhw+Pi4mB3KvTgwQP2ANzHjx8hQehkzop0QEhp2rVrB62Iovz8/CCWI1u3boWi/Bd9ff1mzZpt3rw5ISEBNuYT9syuOIMrUiC8HiCEkGD8+PFj/PjxeczpQbi4uFy+fFkkEsE2CBVEdHR09+7d836effv27SkpKbABQijfoBVJQawgsMeSmICQ5tmwYQPz2Hjp0qW5uhrGxMTMmDGDFIAuSR5IaatVqzZlyhRyfYeNVc7f39/a2pouj7Gx8aNHjyBBDcicFemAkNKMGjWKbkrEqVOnIJYjpC3n8SR73kaMGPHlyxfYEdeaNm1Kl0pLS4s/pUJqAK8HCCEkPFlZWVu2bHFycqI7Bzmys7NbtWqV6l8ZRkIUGhqa97K9jo6Oe/bsgdwIoUKB5iQFsYLAHktiAkIaiXTAoA1LltWJiIiABI6kpaXFxsaSYoSFhX358oX8Nzw8nMTwZMrBt2/fGhoa0tWlr69/+PBhSFAPMmdFOiCkNEuXLqVbE0HORRDLJyKJzMzM+Ph4cl56/vz5xIkTLSwsoNDZGRkZ7d69G7bkCClt7dq16fJYWlqSeyJIQKjI8HqAEELCdvv27Vq1atG9hNyMHDlSo36uJzeZPySCg4PfZ/fu3TtyLxoZGUlScXnPoKCgwYMHw7ckJzjOjpACQbuSglhBYI8lMQEhTfXXX39BM5a8+HX9+nVIQNn5+vpCNUncuHEDEtSGzFmRDggpzd9//w3NiaKGDRsGsQJx5swZcmcBpWdp3Lgxhz8QkttD5m0hd3f3mJgYSECoyPB6gBBCauLLly+DBg2iuwu58fT05NsyNYWWkJBAOp2jRo1yc3NzcHAgd7x5T7aTB7KhpaUl6QLWrFlzxowZ5IZQvZcA/fbtm7e3dx7VZWVldezYMXw9AiHFggYmBbGCwB5LYgJCGuz27dvFihWDxkxR+OO0PNKhgtqhqJIlS6p+yntVkDkr0gEhpUlLS2NmtTI1NRUJcBLRhQsXamlp0YfA4GQlZ9qBAwegEBRFzloQi5Ai4PUAIYTUTXJy8rJly5jpMnPk7Oy8c+dO2EAI3r17t2nTJvZKQXmwtbV1c3Pz8PBo37599+x69OjRqlUrd3f3atWq5V1FNGNj4549e+7evfv79+9QFMF6/fp1ly5d4MByUqVKlf3790NuhJCiQUuTglhBYI8lMQEhzRYdHc2eRZ10LTifXoYnQkND7e3toV4oqlGjRomJiZCmZmTOinRASJk6depEtyw9Pb2LFy9CrKC0bNmSPgQ2Tt7GzszMHD16NF0AbW1tzqfFR2oGrwcIIaTOzpw5U6ZMGbobkSPSV5sxY8aPHz9gA94g92Y3b9708vKSfwiCMDMzI3e5vXr12rt3b2RkZFZWFmxWBGQnX79+3bx5c9u2bR0dHXNcBYgUpkOHDgEBAQKajubTp095/1Dh4OBw/vx5yI0QUhpoclIQKwjssSQmIITE4t9//5154JTYuHEjJGgk0pWaPHky1IWk13To0CFIU0syZ0U6IKRMp0+fhgZGUd26dYNYQVm7di0cAIufnx8kqxC59StevDhdAFdX17CwMEhASBHweoAQQhrhxYsXeT/dTLRp0+bNmzewAUeePHnSokULKBCLoaHhlClTbt68GRkZCVlV4tu3b5cuXRo8eDCz5BfDwMCge/fuwcHBkJVnAgMDyR8UypqTMmXKnD17FnIjhJQP2p4UxAoCeyyJCQghiaioqHLlykHDpigbG5urV69CmiY5duyYsbEx1IJkXuaEhARIU1cyZ0U6IKRMcXFx9erVo1uZtbX1/fv3IUE4hg8fTpefQU4dISEhkKxCM2fOpAugpaW1dOlSiEVIQfB6gBBCmiU2NnbChAmmpqZ09yJHVapUOXHiBGygEocOHZJ/Er98+fJz5szh1QvapC84ffr0smXLQhGlateuzZO76ydPnuT4niaD/HGPHj0KuRFCKgSNUApiBYE9lsQEhBDL5cuXLSwsoHlTVI0aNQIDAyFN3d28eZN5SpQg///gwQNIU28yZ0U6IKRk5L4JGhtF9evXT1irLp0/f97MzAxKL+Xj45OZmQk5VOX79+/w8ZIfSlNSUiABIQXB6wFCCGmotLS0HTt2sG+Q5JH+0PLly5W3cPzbt2/JHSl8mISurm7btm0/f/4MOfhKJBI9efLEw8NDZsabjh07RkdHQyYVIjXJPO2So/Lly9+7dw9yI4S4AK1RCmIFgT2WxASEUHakb7Bs2TJo4RLOzs6PHj2CZHUk81S7vr7+X3/9BWmaQOasSAeElCwzM7N169bQ6ihKZY3uzp07BgYGxYoVGzlyZGhoKMTmG7n3HDt2rPxkoeRmkJPZTatXrw4loKjTp09DLEKKg9cDhBBC/z6a5OXlBT2OnJC+Ud++fRU4Dj5r1izYtdTQoUMFutrYmzdvZGrPxMRk7969kKxM/v7+zZs3h0/NCenCauaL7QjxEDRLKYgVBPZYEhPUTkZGhp+f38WLFzdu3DhnzpwBAwY0a9bM3d2dnEidnJzMzMzMWSwsLFxcXDw8PGrWrNmhQ4dRo0YtWbJk37595JTL/9+MkbL99ttv7IndyZdn8+bNkKYWRCIR6cixB86MjIz27NkDyZpD5qxIB4SU78ePH8WKFaNbH2mJhRj+LoR169bRn8hWt27dadOmnTlz5tu3b5CPJSYm5tKlS5MmTXJ0dIQNsuvYsSM5n0BuFSJlhhJQFPl/TsqA1B5eDxBCCP0SHh7ep08fAwMD6IDkpGbNmrdu3YINCig6OrpHjx6wI4nKlSurzcNff//9t0xvkvQvlbG86oMHD2rVqgWfkRNXV1ccZ0eIb6B9SkGsILDHkpggZLGxseREOnny5PLly8s/badA2trajRo12rRp0+fPn/F1dU1z5swZZkSMVr169RcvXkCyMF2+fNnOzg6OR6JUqVK3b9+GZE0jc1akA0Iqcf36dWiEFFWhQgVl3HHICA0NzfsmsUDIvczXr19h16p17NgxKARF1atXLyoqChIQUii8HiCEEMpBfHz8xo0b9fX1oTOSE1tb261bt8IG/yU6OlrmWew+ffoob7IaDkVGRjZo0AAOUqJv376QVjR+fn5ubm6w05zUrFnT398fciOEeAYaqhTECgJ7LIkJQrNnz542bdpYWVnBHyAn7u7u5No0Z84cX1/fK1euvHjx4suXL0FBQSkpKalyyHXt06dPJMPdu3fPnj1LLppTp0719vYuWbIk7C4nlSpVGjRokKbMcI3EYvIN6datG/z5perXry+s38WPHj3q4eEBpZcaO3ZsTEwM5NBMMmdFOiCkKn/99Re0Rsn4NbkHgQRlevr0KblKOjk5wQcXUOPGjU+ePAn74sLff/8NRaEoOzu779+/QwJCiobXA4QQQv/h+PHj8ndZbPr6+uPHjw8LC4MN5MgsRk96aZCgvlJTU3v16gUHLLF48WJIK6AbN240bNgQ9pKTRo0aae7DZQgJB7RYKYgVBPZYEhN4Lzw8fO/evS4uLlDjLHp6etWqVZswYcKTJ08gt3IkJyeTa2jnzp3lFwande/e/erVqxkZGbABUl9XrlypXLky/OGlrK2t165dy89piN68ebNo0SLSWKCsUjVr1nz+/Dlk0nAyZ0U6IKRCK1as0NbWptsmua7FxcVBggo9ffp01apV06ZN8/HxaZkdiVm3bt3jx48hK9d27drFzPdlamrKydzxSHPg9QAhhFB+ffjwoU2bNuxpSeU1b948ICAANpB0ayBBonfv3pCgGaKioho1agQHL3H37l1I+y83b97McZyIQe54lT1UhBBSIGi6UhArCOyxJCbwVXBwcJcuXQwNDaGipWxtbTdv3hwUFAT5uJCUlEQukUOGDJGfx6ZEiRLz5s1LT0+HrEh9PXv2rEWLFvCHZ3FwcBg/fjz5AkM+Lrx79458P8m3EcrEQrpwgYGBkA/RZM6KdEBIVU6ePDlo0KBx48ZBK6Uoc3Pz169fQzLKbuHChczF187OLsdJ5xFSILweIIQQKrCwsLBFixbR/ZXceHp6litXDv5BUW5ubvHx8bC9hvn69auFhQVUBEV16NAhj7l0Ll26VLVqVciak1q1avn5+UFuhJBwQBuWglhBYI8lMYFn3r9/36pVK6hcKXJHTa5WvJ314sWLFwMGDJD/GXvmzJmpyp+NF3EuOTn5jz/+yO0lNnt7+/Hjxx8+fPjly5dZWVmwjeKkpaU9ffp03759gwcPtrS0hE/NztvbWzWLwAuVzFmRDggpE7miLV++3NzcHFqpZFnm3bt3M7OrGxoaHjt2DHIjKXL/RdcPQW6moqOjIQEhpcHrAUIIoSLZsmWL/IPYOjo6zOuNBLmdg9yaSiQSzZo1C6pDQmap2IsXL1avXh3SctK6detnz55BboSQAEFjloJYQWCPJTGBH9LT0xcsWCCzjFu5cuXISVVA87T8/Pnzt99+MzY2hgOQcHJyunHjBuRA6i4lJeXOnTv9+vUzMzNj96DY9PT0TE1NLS0t3d3d+/fvv2LFilOnTj1//jxGKiEhISkpKT4+nv5ndHT0/fv3z549O2fOHJK/UqVKZFvyNdPV1YU9Zkc6b1ZWVoMHD/b3909LS4OSoTzInBXpgJASfP36tUOHDvJTPNHIRXDq1KmkjcO/KapLly7K+KFOiB4+fGhjYwP1ori1tRD6T3g9QAghpBjPnj3z9PQkHUH2i/w1atTA2fEYISEh7AdSVq5cSe5pS5cuDf/OScOGDT98+ADbI4SEDFq1FMQKAnssiQlcCwsLa9KkCdSmRIkSJYT++25cXJyPjw8cj9Ts2bNFIhHkQBrj3r17f/7556BBgypWrAhfBUVzd3cfOXLk9u3bccX1QpI5K9IBIcXx9fWtXbs2tNhc9OzZk5kkfeDAgRArGYW/fv06Ha+xJk+eDNUheRXg8uXLkICQ8uH1ACGEkMLExMQ0bdoUOjX4BEFOUlNT814BldaqVasXL17ANgghtQDNWwpiBYE9lsQE7jx+/FhmDdJBgwYlJydDslrw9/dnP6tIdOzYMTY2FpKRBsvMzHz//v3Ro0dXrlw5cODAESNGuLu7V5NwcXEpXbp05cqV6X82atRomMTatWvPnTv36dMn2AVSFJmzIh0QKpqoqKgNGzbIvPMkw8rKysfHJ8dlP/z8/ExNTSEfRTVu3JjsENI0yaVLl9gvBJBbVHzkH6kYXg8QQggpxs+fP8ktH92n0dLS2rJlCyQgOYMGDaIrSkbXrl1xRTKE1BW0cymIFQT2WBITuPDu3Tv2W0HkWrNkyRI1fvo7PDy8ffv2cLQS3bt3x7k+EOILmbMiHRAqlK9fv5IzvMwMaTKcnZ1Pnjz5n4t8ZGVlyUxlSW49BDTNWhF9/PjRyckJjpyiihUrdvv2bUhDSIXweoAQQkgxSBcQ+jUUtW7dOohFuZgzZw5UFkVVr14dnztDSO1Bg5eCWEFgjyUxQbUSExNbtGgBdUdR+vr627dvhzR1l5WV1bdvXzhyiYULF0IaQohDMmdFOiBUEGfPnvXw8ICTey7atm1biHmfUlNTO3fuDLuQ6NGjRwxfVxFXiIcPH5YoUQKOlqK0tbU1p6uAeAivBwghhIpKJBJ5eXlB14aidu7cCQmcCgsLW7JkSffu3V1dXXNbH8zIyMjFxaVTp06rV6/+/PkzbKkSpNIWLlwI5aCoWbNm4XuOCKk3aO1SECsI7LEkJqjQqlWroNYkRo0aleN79OotPDy8Vq1aUAUUZWpq+vTpU0hDCHFC5qxIB4T+S2pq6tKlS9lDw/K0tLRmzJgRGRkJ2xRWVFSUzGyWdevWDQ4OhmR1cfz4cfZEOgTpOeDyJ4hbeD1ACCFUVMuWLYOuDUUtWrQIYrmQmZm5f//+YsWKQWkKaPDgwWQPsC+VaN26NXw2RV28eBFiEULqCJq6FMQKAnssCQMGDBgw5BEQysXr16+HDx8OnYBcVKlSZffu3bCB4iQnJw8ZMgQ+Q0JHR2f58uUqvvFRuE+fPnXo0AEOScLU1PTw4cOQjBCn8HqAEEKoSB4/fqylpUV3cZo1a/afswoqCelHduvWjS5GjsqXL9+wYcMRI0aMGTOG/NfLy6ty5cqQJtWpUycVPzWZkpLC/DxgbGz85csXSEAIqR26pTMgVhDYY0kYMGDAgCGPgBBLRkbGzZs3XV1d4dqfE11d3caNG7958wa2URqRSLR//36ZJ8FtbGz++usvcksCmYQgPDyc3NDJvMFct27d9+/fQw6EeACvBwghhIrEwcGB7uVYWlp++/YNYlWL/Yg9Q09Pb968efn8ASA+Pv727duJiYnwbxV68eIFlJiivL29IRYhpHagnUtBrCCwx5IwYMCAAUMeASHJOPuKFSvYq3znaObMmZw8bRMWFjZy5EgohBS5lZs0aVJERARk4p+LFy+yXw6mWVhY7N27F3IgxCd4PUAIIVR4W7Zsgc4ORc2YMQNiVSg9Pb1BgwZQAilTU9NHjx5BDt4jPfL+/fvTJTc2Nr5+/TokIITUC93MGRCL5CQlJbHXR23fvv3Pnz8hDbG8efOG/aDikiVLIAEhhBAXPn/+PGLECDgp56JcuXL8Wcnzx48fw4YNk5+N09LScv369V+/foV8HCFX/5s3b7Zp0waKxeLs7Pznn39CPoR4Cfv6CCGECikmJob0dehOj4GBQXJyMiSoCumEtW3bli4Aw8vLKyMjA3IIxN27d42Njenyd+jQQVgvdSKE8olu4wyIRXLq168PdURRQ4cOxUXP8hAbG1u9enW6rrS1tZctWwYJCCGEVOXGjRvsRa1z1LJlSz4/DxQXF3fgwIEcp74xMzMjF5opU6Z8/vwZcivT6dOnu3XrVqZMGfj47Hr06PH48WPIihC/YV8fIYRQIZ06dcrAwIDu/ZBOGMSq0G+//UZ/OqNJkyaQJijp6elNmzalD0FfXz8sLAwSEEJqhG7jDIhFLORkWLduXaggiho2bBgkoNxFRkbWqFEDqoyicLE4hJC8qKioBw8e7N+/38fHp1WrVuXLl4dTRgGZm5u7uLh07tx52rRpR48eDQgIUP0DNzyRmJi4ZcuW4sWLQ9XkxMTEZPTo0eHh4bCNcPj6+pLviZmZGRyJHGNj4/bt25Ovwb59+86dO/f06dOgoKD//DKkpaVFR0d//Pjx+vXrJ06cWLNmzZgxY5ifjXNUoUKFkSNHPn/+HHaBkHBgXx8hhFAhzZw5E7pCFHXz5k2IVZWEhARmsVaarq5uZGQkJAvNnDlz4DAo6sCBAxCLEFIj0MKlIBaxDBw4EGqHoiZNmgSxyjR//vwSJUrYKEG5cuUuXrwIH6NkERERtra2UHEUdebMGUhACGmklJSUo0ePNm3a1MrKSkdHB04NuSM9am1tbdKRlkfiZfrbOdLX1yfn0l69el27dk1wb5oWyI8fP/r378+8mZojUu379u1LSkqCbQQuJibmzp079FHn5+vElp8vD4NkJl+5smXLrlmz5uPHjxr7Ww5SG9jXRwghVBixsbHM5OnlypVT/YI/q1atoj+dMXXqVOHOPPD48WOm796tWzeIRQipEbqBMyAWSR08eBCqhqK6dOmSzyWvi+L58+cWFhbwkUrg7e2dkJAAH6ZkUVFRzDiIlZVVaGgoJCCENEBaWtpff/0lP9Eiw8DAoG7duuPGjduyZcu9e/c+fvwIWxZQcnJyYGDgjRs31q5dO2TIEHd3d/gAOdra2r169Tp16hRsKXCXL19u1qwZHFsuWrduTbLBBuouODj43Llzf/7558KFC/v3708qp0KFCpaWlnn/FEEy2NjY1KhRo1OnThMmTFi+fPmhQ4cePnyYnp4O+0VIjWBfHyGEUGF8//69XLlydOeJ9LFUNqZAy8jIcHNzoz+dRrr1d+/ehWQpkUj06dOnx48fP3ny5Pr16+fPn3/06BH5p7+/f2xsLGTiB9LRJH1Q+lhcXV0hFiGkRugGzoBYJEFu3aFeKMre3l41P+KGhYXJXEoUq0ePHir42YBx/Phx+GCKatWqlXo/ZIoQSk5OPnnypJ2dHTR7FgsLC09Pz02bNpH+uWoeRsnKyiKn8QULFlSsWJG9mDNNS0urdu3a9+7dI9lgAyFITEzcs2dPHtOqECYmJoMGDRLuK7YIIeXBvj5CCKHC+Pz5M/NgYLdu3VTcgfbz85OZM9HJyenDhw+kZ7xixQrS18/78QqGvr6+q6vr6dOnYb+csra2pktlaGgIUQghNUI3cAbEIolGjRpBvah8RpSMjIyUosnMzJwzZ47Mi/Pm5uZXrlyBz1AJUowRI0bAx1PUwYMHIQEhpEYSEhJ8fHysrKygqUvZ2NgsWrQoICAA8nHt+fPnM2bMkO+QlytX7vfff4dMvBQWFjZ48OC8byVsbW23bNmi4ueNEELCgn19hBBChfH69WvoclIU6ZVCrKpcuXIl7+dNCsHb25vb51Nq1apFl0RPTy8uLg5iEULqgm7gDIhFkkezdXV16Wpp2rQpxArHoUOH6MKz7dy5E5JVyM/Pr0SJEnQBKlSogJcShNRGcnLy2rVr6dbNIJ3hgQMH8n9NzufPnzdv3lxbWxvKLWFubv73339DDh64d+9ew4YNoXC5qFOnzrVr12ADhBDKE/b1EUIIFcbHjx+ZIe8ePXqoePJ0X1/fPBbtsbGx8fb2XrNmTY6P+ZD+9KBBg3Kbt1fFDySykWLTZcAn3BFSS3QDZ0CsxsvKymI/3v7w4UNIEAhy1YCis6xevRqSVa5Pnz5QCIrasWMHxCKEBOvu3bvOzs7QqiX09fV37twpxF/Uvn//PnXqVDgMKXIJCAoKghwq9+effzo5OUFRcjFixIhCz3qPENJYatHXJ3csGDBgwIBBtSGUospCL5TyoqgEuQxKDZvhk7MZRlFf5HLmET6ROxbY9Bc9inokl1MFIY2iYAZ3iqokl4oBAwaFBe5AC5eCWI13584dZgULVa4yqhB37941MjKiC8+YOHFiZmYm5FC5169f6+mRS9m/3N3dIRYhJEDbtm2Teb5k6NCh8fHxkCxkr1698vIiNxC/ODg4qGzF0U+fPk2ePBk+OBdlypRZtWoVbIAQQgWHA+4YMGDAgKEwIY6imLcuK1NUiFwGpYajFAWzD0hZUJS/XLb/DG8pygR28Iu3XDYVhOeskrSVS8WAAYPCAneghUtBrMZjT5KwcuVKiBWCN2/eODo6QtGlWrZsyflqpZUqVaILo6ur++3bN4hFCAlEVlbWtGnT2BOwWFhY3Lp1C5LViEgk2rBhg4GBARwnRZH//+OPPyBZochn+fv7e3p6ysxsI6Nq1ar37t3j8EdThJDawAF3DBgwYMBQyDAJuqb/uiWXqtRwhaJkZnA3LtST6VkUNQ528Es5ivosl1PZYQl8+L/2yqViwIBBYYE70MKlIFazJScnd+nSha6QYsWK3bx5ExJ4LzExUX60vXz58iQecnBn9uzZdHm0tLQ2bdoEsQghIdi4cSN7BeYaNWq8efMG0tTX+fPn2WdUc3NzEgNpRbZhw4aKFSvCrnMxdOhQ/qw3ixBSD+o74I4QQkjJjh07xixzN2PGDIhVCdInLlmyJP3RDFIeSC6InTt3wvZS1tbWT548gWSVyMzMbNGiBf3ppEpDQ0MhASFUFDKdQzpwh27jDIjVbBEREVWrVqUrpFKlSkJ5HDsjI8PV1ZUuNsPIyCgpKQlycOrq1atQJooaN24cxCKE+O3GjRvsh69dXFw+fPgAaZrhn3/+MTH59eqpo6NjoX9sCAsLmzp1ah4LPhG2trZLly6FDRBCSNFwwB0hhFAhxcTElC0LE7mbmZmlpaVBgko0aNCA/mjG+PHjs7KyIDnfli9fDttLlS9f/uvXr5CsEg8ePDA1NaU/vXXr1snJyZCAECoKmc4hHbhDt3EGxGq24ODgEiVK0BXi4eHBh8fD84P5iZRBLoLPnz+HZK59+PABiiW5pkAsQoiv4uLiWrZsCY1W8nz33bt3IU3zbN68mf3DA+neQ0I+3L9/v3nz5rBlLtzc3C5evAgbIISQ0uCAO0IIocJbsuTXVCjz58+HWJXYtGkTfLCUlpZWeHg4JOdPcnKyt7c3bC/VunVrkUgEOZQvMzNz2LBh9EeTQzh9+jQkIISKSKZzSAfu0M2cAbGaLTAwEKqDopo0aQKxPJaRkTFq1CgosZSent7x48chBw98//6dGa7y9PSEWIQQL504cYJurbTp06ershfKW+SKADUimXDs6dOnkCDn58+fBw4ckJ/ji42cpbt16/bx40fYBiGElA8H3BFCCBVJ8eLF6b6slZVVWFgYxCpfWlqajY0N/dGMOnXqQHL+TJs2DbaU0tXVvXfvHiSrxNu3b+GzKap58+Z4l4WQwsh0DunAHWjnUhCr2T59+qSnp0dXiCAG3BcsWECXlu3333+HZH749u0blIyiGjRoALEIIf7p06cPtFXJyqjklAgJSCw+e/YsVE1OK1LExcWNGTOGVBrkyImhoeHatWujo6NhG4QQUiEccEcIIVQkly9fhl4tRbVv3z49PR0SlO/z58+kJw2fLeXl5ZWfWXRTU1O7du0K27D4+vpCDpVIS0tjJqPX19d/+fIlJCCEik6mc0gH7tAtnQGxmi00NLRUqVJ0hdSoUSMuLg4SeGn9+vV0Udlmz54Nybzx+PFjKBxF9erVC2IRQnzy8+fPWrVqQUOVNNVCzIuo9sLCwipUqAB1RFH9+/e/c+cOs9R2bjw9PVXcn0cIIXk44I4QQqhIRCLRzJkzoYdLUevXr4cElSD9afhgFi0trVatWkVERECm7O7fv1+9enXIymJubn779m3IpCrdunWDj6eoAwcOQCxCSCFkOod04A40dSmI1WwxMTH16tWjK6RChQqfP3+GBP7Zs2cPs044Y8iQIar8mTmfjh8/DuWjKB8fH4hFCPFGXFycmZkZtFKKmjNnDiSgnHTo0AFqKnf6+vrt27cXysrbCCFNgAPuCKFsoqOjL126tHz58j59+tSuXZt59ragTExMnJ2dGzduPGzYsE2bNvn5+eFEGWosJSXF09MT/vYUdfLkSUhQiZCQkHLlysFnF9bSpUthd6qSlZU1a9Ys+HiKGjduHD7ZhJCCyXQO6cAdaO1SEKvZyHlvzJgxdIXo6uqq+PKRf3fv3jUyMqLLyWjUqNHPnz8hB58MGDCALqGWltbRo0chFiHED8HBwcx8jAQ+i/2fMjIyfHx8oL6yMzU1Xbly5Y8fPyArQgjxBg64I6TRQkJCTp8+7eXlBX2W3Ono6JAOjaWlZYkSJUrLcXJysra2trCwMDY2hg1yp6+vP3r06IcPH0ZFRUE5kPCRrrCtrS39J9bT0/vnn38gQVWio6P79u1rYmJClyE/jIyMvL293759C7tQrdWrV0M5JFPxQCxCSIFkOod04A40eCmI1XgHDhyAGqGoKVOm8PDn+dDQUPln2+3t7RMTEyEHzzCXQgMDg7S0NIhFCPFAREQE856llpbWsWPHIIEjKSkpX7588ff3P3Xq1LZt25YuXTpy5MgdO3Zs2rTp2rVrHz58iI2NhaxcGzduHF1vNM6rDiGE8oYD7ghpnIsXLzZr1szU1BR6K9mR+M6dO2/ZsuXJkychISGF7mOlp6fHxMR8+vTpzp07ixcvZi80L6NkyZL9+/cPDAyELZFgkW9LlSpV6D+rvr4+6bhDgsqR2wPyPZ89ezb5ajVo0KBy5co1a9bs3bv34MGD58+ff+PGDc5fOJ0zZw5dUYS7uzsPZyRASB3IdA7pwB1o81IQq/Fevnzp6OhI10mNGjX49qBiQkJCjovy5TZrGecuXLigo6NDFxJ/zUWIV1JSUtq1a0c3T9JOt23bBgmqlZycPH369NKlS9MlyQ+SefXq1bA9d9hj7mPGjIFYhBDiJRxwR0gjXLx4sWnTptA9YbGxsenTp8/evXtJxwuyKl9gYODatWvbtm2rr68P5WAZO3YsDr4L17dv38qWLQt/S4qaN28eJCCpzMzM7t27QwVJlniFBISQwsl0DunAHWj2UhCLxOJ+/fpBpVDUkSNHIJYH4uPjXV1doWRSRkZG9+/fhxz807hxYygoRT158gRiEUI8MH/+fGicFEVuwSBWhfbs2WNgYAAlKJT+/fuTrizsTuXIR9euXZsuCTkQXP0IIcRnOOCOkNpKTU3dvXu3paUl3SlhFC9efMGCBTx5PVAkEn3+/Hno0KHFihWD8klVr1794cOHkA8JCnuSopYtW3LYL+cb0irZP0hMnDgREhBCyiDTOaQDd6DlS0EsEovfv3/PTElnZWUFsVxLTExs3749XSqGvr7+/v37IQf/HDt2jHmaoXPnzqp8nAIhlLezZ89qaWnRzbN8+fIqXrnnxYsXOc78SSKnTZsWGBgYHx9Pzhjk1iwtLY2c/cLCwv766y8HBwfIx6Ktrb1161bYr8q9ffuWmcSSFI+rmSERQug/4YA7Qmro6tWrpBtHd0QYo0aNevPmDeTgqytXrtSpUwdKLNWhQwfS54McSCDYj/CYmJjcvHkTEjTY/v37yS0KVApFHT58GBIQQkoi0zmkA3eg8UtBLJIYNmwY1AtFTZ48GWI51bt3bygQC7m6QTL/xMTE1K1bly6noaEh6Q1CAkKIaxkZGcyj2cSHDx8gQSV27NjBzDTFqF69enh4OOTIXVxcHPu9GcbevXshh8pt3LiR6VFPnz6dhyt/IIQQgQPuCKmP+Pj4Pn360J0PmoGBwcyZMyFZUL58+dKyZUs4DKktW7ZAMhKCd+/e2dnZwR9P8qj7z58/IU3DkLbp4eEBFUFRbm5uuGIwQqog0zmkA3fgFCAFsUgiOTm5WrVqdM2YmJicO3cOEjgyatQoujBso0ePhmRemjp1KhQU36BCiGd8fX319PTo5jl48GBVLt5z69Yt+Wk8e/XqBcn5M2LECNiS5dmzZ5CsWikpKRUrVoRC8HhFDYSQhsMBd4TUQXBwMLPePa1x48Zfv36FZCEjt9w2NjZwVJLV/MePH48rTArIihUr4I8neQV12bJlkKAZUlNTBwwYAMcvgdNNIqQ6Mp1DOnAHzgJSEIuk/Pz8mPnlXF1dOXy5beHChewXkmidOnVKS0uDHPxz4cIFKChF2dnZpaSkQAJCiGsJCQnMg0Smpqa3b9+GBOUjN039+/enP5pRvHjxgp4iRCJRixYtYHspe3t7SFa5zZs3QyEoauTIkRCLEEJ8ggPuCAnby5cvy5QpA90NiSVLlkCaGgkPD2/VqhUcoUTr1q3j4+MhGfFbdHQ0e81efX3948ePQ5pamzt3LhyzRL9+/XA6e4RUSqZzSAfuwLlACmIRy++//86MdHt6enIywH348GG6AGweHh7kWgY5+Of06dNGRkZQVilDQ8Pt27fjMwoIce7du3dMC23YsKEqF1cgJy4TExP6oxldunSB5IK4fv06Mwc9jXTpuXob6efPn8zFwtraGmIRQohPcMAdIaEi/SdyL0r3MwjSl/L19YU09TV+/Hg4YIkJEyaoeMUhVGifP38uV64c/OUkfvvtN7UcgCb3UeSbCQcpUa9ePY2dTgchLsl0DunAHTgjSEEsyo5cGqCCKKpSpUoQqyqpqanNmjWDj5fq0KEDn8/hV65cMTAwgLLmhFx8r127BrkRQip38OBBaI0UNXXqVIhVifDwcPhgljVr1kByQXz79q1q1aqwC6mePXtCsso1b96cLgM5AarypQGEEMonHHBHSJBkJqnYsGEDJGiA5OTk7t27w5FTlI6Ozv79+yEN8d6XL18qVaoEfzyJtm3bxsbGQrLAvXv3jr0iFuHt7R0TEwPJCCEVk+kc0oE7cF6QglgkZ8mSJVBHFFWxYsX8LOunsdgzyVhZWfXp00dXVxf+Ladly5avX7+GLRFCqsLcuBkbG6t4NeMfP37IT5DVqlUrSC6IrKysvn37wi6kPD09U1NTIYdq/fnnn3QZtLS0Fi1aBLEIIcQbOOCOkMDcu3fP1NSU7l4Qo0aNggQNExUV5erqCrUgWWdfla9noiKKiYnp3bs3/PEk9PT0Fi5cCMlCQ76N8svrTZo0CZIRQlyR6RzSgTtwdpCCWJSTP/74A6pJMmvBu3fvIAGxzJgxA+pI8qZjSEgIHf/p0yfm2U955II7dOhQ7DUhpDLMezMWFhYfPnyAWJVISkqqV68e/ekMa2vrwj3sMmzYMNiFVKVKlZgzj4pdv34dCkFR5JwGsQghxBs44I6QYIhEoh49ekC3gqJKliz58uVLSNNUO3bsgOqQPN1A/gkJSCDOnDnj4OAAf0IJHR2dmTNn/vjxA3LwWFBQUL9+/aDcUhUrVnz+/DnkQAhxS6ZzSAfuwGlCCmJRLm7fvs2eL3jz5s2QgCRT37Rr1w6qhqLc3d1znPTm/PnzlStXhkxyzM3N165dC1kRQsqRlZXFLLhlY2Oj+jWotm3bRn86W926dQsx5j579mzYXsrJyYmrG9L3799DISRvlEIsQgjxBg64IyQMYWFhLi4u0KegqIkTJ0KCxiOdRfZc9sOHD4cEJBzJycmrV6/W09ODv6JUrVq19u3bB5n4ITMzc9WqVdWqVYMiSpE7qL179+KKAqhArl27Rr7h5Hzevn37OnXqVKpUqWTJkvb29hYWFrq6uqRFMPT19cl3jCQRVapUadCgQffu3RcuXEg2f/HiBewOyZPpHNKBO3C+kIJYlLuoqCgnJyeoL8l6GIL4OVbZyKkDakQiPz2fDRs2WFpawgZy7Ozsrly5IhKJIDdCSHFI59DMzIxua8WLF+dkLehBgwbRBZDh4+MTEREBmXJCCk8yHDt2zM3NDbbJztHRMSAgAHKr1ufPn5kfZRs3bgyxCCHEGzjgjpAA+Pv7Gxsb0/0JDpeD57OePXvS9UPUrFkzKSkJEpDQ7N27N8c+fY0aNTZu3EjaAuRTFXKn8eDBg1WrVjk7O0NRWEj//sqVK5AVoVxERkaeOXNm7Nix5cuXh6+O0lSvXn3OnDk3btxIT0+Hj9dkMp1DOnAH/khSEIv+y+LFi6HKJDT5Ufe0tDT2hGxGRkYFeqcqKipqypQpsHFOyEXt7du3kBshpAgikYh5UMPKyio0NBQSVIs9T5c8XV3d0qVLV6xYsW7dumXLli1TpoyNjQ2k5aly5cpcHdGrV6+gEBTVuXNniEUIId7AAXeE+O7mzZvQlZBM/Kf6AUeh2Lp1K1STZMyd3FVCAhKmxMTELVu2ODk5sacUoGlra5uamjZt2vS33357/fp1fHy8QsYW09LS4uLiHj9+vHDhQjc3N+ZXLjY9Pb0qVaocPXoUZ79FeSBfjytXrnh6ehoaGsJXJzsDAwNy1+3t7T1//vy///47MDAwISGBbEW+ybl9mckdO52alJREvvN+fn6HDh2aMmVKnTp1ihUrpq+vD7vOjnyNW7duTS4cnDxSxz2ZziEduAN/FSmIRfkQHR1dqlQpqDjJS0XXrl2DNI2xYsUKOH6JoUOHFrpdBwUFtWjRAnaUk1GjRoWFhUFuhFDRtG3blm5ZZmZmT548gVgubNq0SWYux3wiHeB2EjLdctIJ4aqDcfHiRSgERY0fPx5iEUKIN3DAHSFee/jwIfMSoqmpKQ4i5+2PP/5gFuKvWLEixCLhS01NvXnz5uzZs9kDLjkyMDAoWbJkzZo1mzZt2qNHj34SQ4YMWbZs2cKFC+l/El26dCEZqlatSjLDlrlzc3NbuXLlvXv3oDQI5YLcx5I7T/jeZNemTZs9e/Yo+9FRkUj09OlTUgwPDw/44OyaNWt29OhRyK0JZDqHdOAO/BmkIBbl29mzZ4sVKwbVR1HOzs4aspjqrl272L/eubq6RkZGQlrR3Llzp2zZsrBfORYWFuTqCVkRQoXFvFmir6+/f/9+iOUO6S2Qk+fBgwd79+5tbW1Nl00GuZMaNmzY4cOHP378mJGRQW84duxYSJbi8NHyBQsW0GUgd38bN26EWIQQ4g0ccEeIv96+fcuMtpuYmKhgRZrU1NQrV65cULSbN2+qbNJV0t+ia4yoW7cu00FE6ufOnTukq92qVSsXFxcjIyP4qxeBqalp1apVO3XqtG7dumfPnsHHIJSnkJAQ+TXEiOrVq69fv57zOZFjY2OnTp1KbpuhWFKkyaxZsyY6OhryqSuZziEduAO1LwWxqIDWrl0LNShRokSJ8+fPQ5p6IX2YOXPmwHFK2NjYKOnx2E2bNpGahI+R4+zsfPLkSciKECqg69evQ1uiqD59+kCs0MTExDRq1AgOQ0JPT++ff/6BZJWrVKkSXQxjY+NPnz5BLEII8QYOuCPEX8yK9ubm5nfu3IFYpSH3dba2tvQnKoPKVvZbt24dfCRFTZgwAWKRZhCJRD9//oyKioqIiPj+/ftniffv3586derChQv0P4lwidjYWJwZBhVOenr6lClTyK0mnGskjIyMVq1aRb5XkIlnSKMgZdbV1YXiSpiYmPz555+QQ/3IdA7pwB2odCmIRQVHTvUbN240MDCAqpQ8N7pw4ULSMCGHwJErVMeOHeHYJJydnVXQj0pJSfnf//4nc2Zjq127NrmkQm6EUP58/frV0dGRbkTVqlXjatLzIrp7967MfDKlSpWCNJV78+YNFEKyzhPEIoQQn+CAO0I81bVrV+hEUNS6desgVpkyMjJye6lQIW7cuAGfpGRpaWns2jtz5gwkIIRQkZ09e7Z06dJwfpGoWLHioUOHIFkIsrKytm7damVlBQcgUatWrYCAAMihNmQ6h3TgDtS1FMSiIiDtUabr4uLiwuETl0W3bNkymRVEvLy8goKCIFlV3r9/LzPiL6N///4qe3kRIaHLzMwcPnw4NB6K+uuvvyBBOMghODs7wwFI7dmzB5JVbvDgwVAIilq7di3EIoQQn+CAO0J85Ovry6yA17t3b4hVvoSEhL17927fvn1HEZBOpKurK114RtmyZVX53NnXr1+Zyb4tLS1TU1MhASGECoXcav7222/0WYVmamoq9NmNU1JSRo0apaOjA4ckWQXh4MGDkKwGZDqHdOAO1LIUxKIiS0tLGzhwoMzbG05OTkePHiVfcsjEYxEREQsWLJApP+m97Ny5E3Jw5+7duy4uLlAmOXp6eitWrPj58yfkRgjl4vbt26RR0w2nVq1a8fHxkCAEWVlZDRo0oAvPIGctSFa5ly9fMlNgkVN9YmIiJCCEEJ/ggDtCvBMXF8dMkGdqahoYGAgJAjF//ny68AzSv1TZfDKMNWvWwMdT1IwZMyAWIYQKKCMjg/1gGlGlSpXg4GBIVgv37t2zs7ODw6MoHR2d2bNnQ5qgyXQO6cAdqF8piEWK8/TpUy8vL6hfKWtr6wEDBnz48AEy8cbBgwcbNGjALPbOmDBhQkREBGTijX379llYWEAR5Tg7O/v6+kJWhFBO+vTpAw2Gog4cOACxvEc6PMxs6YyePXtmZmZCDpUbPXo0lENQNYkQ0jQ44I4Q75w+fRp6EAKcgpzcj0HRpQwMDLia1IV5kKRYsWKRkZEQixBC+bZgwQL6NELr2rVrTEwMpKmdz58/161bFw5VMuy+Y8cOSBMomc4hHbgDNSsFsUgJQkNDBw0axJ7knaalpTVmzJizZ89+//4dsqrQ69evd+/e7e7uDqVhcXJyWrlyJeTjsaysrEmTJuWxUHmdOnX8/PwgN0KIJTo62szMDJoKRX39+hUS+Co8PJz9IwGje/fukIML5L4SykFRzZs3x8fbEUK8hQPuCPELuZNp27Yt3YewtrZ+9OgRJAgB+6cCBrm3hGSV2759OxSCogRxH4sQ4o9Tp06xFwfz9vbWkMmpvn//zh4QNDY2fvjwIaQJjkznkA7cgTqVglikTD9//iRdqXbt2kGlZ1esWLHq1atPmDDh3LlzCh+1IU1px44dXbp0KVWqVI7LkJqamk6fPv3r168ikQi2EY6wsDCmvypPR0eHHHhcXBzkRghJPH78GBqJZPVUlU3HNGbMGCsrq3Llyo0ePfrWrVvkfhMS5JDT0ZkzZzp16mRiYgIFZTE0NLx69Spk5UJkZCRzOi1RosSnT58gASGE+AcH3BHil+TkZGYST3ITCLFCcO3aNdIJo0vO4HaYOzg4mJmbuH379hCLEEJ5iomJqV27Nn3qIBwdHVW/YiHn/Pz82Kuqdu/ePY/7c/6S6RzSgTtQm1IQi1ToxYsXS5cubdq0KfwNcmdhYVGnTp0uXbqMGDFixYoVpD9DrFmz5u+//969ezf9T2LKlCmDBw9u1apVxYoVmdV3cmNra9uzZ8+dO3eq00j0nTt3PD094QjlkG7YggULOJx6AiGeIK1g69atFSpUgLYh0a1bNxWsM5GRkdGmTRv4yMKytrbm6pVlRkREhI2NDRSIos6fPw8JCCHESzjgjhC/HDlyBDoRFDVr1iyI5b03b96QfhiUW2rIkCHc3mIlJCQ0adKELoyzs/PHjx8hASGEcnHgwAH6pEFoa2vzYdFCDk2bNg3qQjIXx+3btyFBKGQ6h3TgDlSlFMQi7qSkpJAOzMqVK5s2bWpjYyP/3EDh6OjomJmZOTg49OnT5+DBg+Hh4apcN54TIpHor7/+YpYxlEd6iYcPH8aRd6Rpfvz4MX78+BzfcaENHz4csirTyZMn2T+i5xPpBdna2q5atYoPq0+TmmS/fkfOJ5CAEEJ8hQPuCPHL5MmToR9BURcvXoRYfiOdMPm3Dj08PPjwOCQzWkTuou/duwexCCEkRyQStWzZkj5jEJUqVUpISIA0DRYYGGhqagqVQlHLly+HBEGQ6RzSgTtQiVIQi3gpNjb2zZs3t2/fvnLlyvHjx3dL+fj4LFmyhP7/vXv3njt37urVq/fv3w8ODsaphImkpKR58+bBVzwnnp6ewvvpDqECunHjBrtHkbdOnTrBZsoXEhJy7dq1nTt3Tpo0qV27di1atCDlpJF/kvtQcpU/ffr027dvefVaW1xcXJUqVaC+KGrFihWQgBBCPIYD7gjxS69evaArQVEBAQEQy2NpaWmlS5eGEkuVKVOGJw9zrVmzBspEUWfPnoVYhBDKLjY2tlq1anCyoChyzwkJSDLXmbe3N1QNRZHbckjgP5nOIR24AzUoBbEIqaOIiIhOnTqxV8KQ0aNHj2/fvkFuhITv58+feb/nQZiYmAwcODAyMpLk7927N8RSlLu7uxovyV5EHz9+ZOYIJZYsWQIJCCHEbzjgjhC/sCcOjoqKgli+SktLa9GiBRRXysrKij93UHv27IFiUdSuXbsgFiGEWH78+KGtrU2fKMhNHTlvQAJi8fHxoauIUOVSb0Ui0zmkA3eg+qQgFiG15u/v7+bmBl96OSYmJtOmTRPkEhEIScTGxo4fP97CwgK+0zkxNTXdvHlzdHQ0bCMhEomWLVsGOSjKzMzsy5cvkIakfH192aPt165dgwSEEOI9HHBHiF+YOccJng+4k7ujkSNHQlmlSGfxxo0bkIMHSO8WSkZRR48ehViEEJIKCQkpWbIknCYoivM1wfhs586dUE0U5eXlJYAJNGQ6h3TgDtSdFMQipBkOHDjg4OAA33451tbW+/btg6wI8d6DBw/atm0LX99cNGjQ4D87FRcvXoTcEhMnToQEjScSiTp27Aj1IjFhwoTv379DMkII8R4OuCPEL8OGDYM+BUU9ffoUYnnpf//7HxSU5cSJE5DMD4sWLYKSUdTly5chFiGEJCIjIytXrgznCIq6fv06JHDk7du39+7dO3jw4P79+5cuXbp58+a//vrr5MmT7969gxxcmzt3LlQWRTVq1AhieUumc0gH7kDFSUEsQprk58+fpG/GfmRVRrVq1R4/fgy5EeKTrKysPXv22Nvbw5c1J9ra2n379v369Stskw8JCQmtWrWC7SmqRIkSr1+/hjRNdfr0aSMjI6iR7Ej8mDFjcJUdhBD/4YA7QvyyfPly6E1Q1N9//w2x/MN+BZKxY8cOSOYHkUhEOmR02Ujn7MGDB5CAEEISrVu3pk8Rurq6x48fh1gVevfuHXsW1/yYNm2azGvpKjZ9+nQoCkWRcyzE8pNM55AO3IFak4JYhDRScHBwv379oDHkpEePHoGBgZAbIe6Eh4fPnDmTvX64PFtb2xUrViQnJ8M2BXf69GlmdjvC29s7Pj4e0jTJx48fXVxcoBb+y/Dhw4OCgmBLhBDiGRxwR4hfHjx4AD0Iiho4cCDE8syhQ4d0dXWhlFLTp0/n2xSc0dHRzIr2rq6uoaGhkIAQQtl/OBw7dizEqgQ5W7KXyC4EcnKLi4uD3akcs4YquRYcO3YMYnlIpnNIB+7QlcaAWIQ029u3b0knDVqFHC0trVmzZuHTrEj1Xr9+zX7wPEdVq1a9evUqbFBk7EeFaJMnTyaRkKzu4uPj69atC0cuafvLly8n8RkZGeQkkMcPHiTngAEDwsPD6f0ghBBP4IA7QvxCuhRWVlZ078HFxaUoD0ooyePHj+nisXl7e0Myn7x79w7KR1F9+/aFWIQQEotv3LhhaGhInx/IyRZiVYI91RUbubHfs2ePzOodWVlZp0+f7tGjB2TKzsfHJy0tDbKqUFBQkKOjI10GBweH4OBgSOAbmc4hHbhD1xgDYhFCEidPnrSxsYHmIYecarZv3w5ZEVKa3bt3V61aFb52uRg8ePCrV69gA0Uj3YBGjRrBJ0kMGjSIh7eEChQeHs4eaidGjRoFaSwxMTG59aBoWlpa/fv3x3neEUI8gQPuCPGLSCQaMmQI3WkwMTG5cOECJPDDy5cv9fX16eIxypUrB8k8M3v2bLqEOjo6u3btgliEkMbLyspi1jojt2cqmyGdnOHlJ5AhBVi5ciXkyNPy5ctJZthMaty4cZCsWn/++SdTmIULF0Is38h0DunAHbq6GBCLEGIh50lySiF9YGgnclxdXW/fvg25EVKE0NDQefPmyV9h2ezt7efPn6+y580jIiJq164Nny3RoEED9Ztk6fr166VLl4YjlBgwYMB/PkmQkZExbdo0CwsL2CYnQ4cOLdBM+gghpHA44I4Q7/j5+TGD2j179uTk6cUcffnyhXmkkVGuXDluZxPOTVxcHLMkV6lSpfg23Q1CiEPkBo85P/Tv35/cuUGCkjG/ArLduXMHkvPh0aNHsBnL+vXrIVmFUlNTnZ2d6QKQyuTpVLMynUM6cIeuLgbEIoRy8v37d+YZlBx5e3t/+/YNciNUcO/fvyffIvl5MtmqVKly6dIllfUTZCQkJAwbNgyKImFgYMDVy20KRFp3u3bt4JAkSEdi5cqVBb1fIzehixcvhl3khNxT9+rVi5/3qgghtYcD7gjxDulq9OnTB7oJFMWTpT7j4+MrV64MZZKysbF5+fIl5OCZQYMGQSkp6tChQxCLENJ45LaZmT/d2Nj42rVrkKBkiYmJZmZm9OcyZs+eDcn59ueff8LGUg4ODp8+fYJkFdqxYweUgKKmTp0Ksbwi0zmkA3egsqQgFiGUJ39//wYNGkCzycnMmTNjY2MhN0L/xdfXl1nkKTfdunV78eIFbMADR48edXJygsJJmJiYLF68OCIiAnIIwevXr0eOHAkHIFWrVq2i3+2mpqaS80Aeb8YQw4cP56SzhBDSWDjgjhD3MjIy9u3bV6ZMGdIV0NfXj4qKevToETMu4+DgAPk45eHhQZeHoaure+7cOUjmmYsXLxobG9PlLF++POmEQQJCSOPFx8ebm5vT5wdPT0+VPbZ2+vRp+Sm5/Pz8IDnfgoODK1asCNtLbdy4EZJViJxa4eMpqkKFChDLKzKdQzpwBypLCmIRQvmQlZV14cIFZqEjeaamprt27crMzIQNEGJJTEycOXNmHgtvEkZGRosXLyY5YRv+SU5OnjVrlp6eHpRYgvyzVatWz5494+eXPy0t7cqVK1WqVJGZsYf8Lfbv36/wMpM/39y5cw0MDOBj5JDq6t27t8x6OQghpAw44I4QZ06dOtW8eXO4+LOYmJi8fv1627Zt8G+K6tGjB2zDEWayY7ajR49CMs+Eh4fLL7qlr68/duzYsLAwyIQQ0lQXLlyA84Jk0VGIVb7t27cz89jQyD+DgoIguSDkJ4Jv3br1z58/IVmFyOfSBbCysnr+/DnE8odM55AO3KHrigGxCKGCyMjIWLFiBbPqtbzq1aufP38eciPN9ujRoy5dusA3IxceHh68vanJTVJS0tq1a62treEYWDp37nzy5EnIx5HMzMxdu3Y1bdoUysTi5ubm6+sL+ZQpISFh3rx5Mj9OyBg8eDBOS4UQUh4ccEdIpQICAuQHSuQ1bNgwKiqKmRRFW1t706ZNsAvVysrKmjx5Ml0MttWrV0MO/smx98lWr149nkzUgxBSvZkzZ9KnAh0dnUuXLkGs8p06dUr+Cffjx49DckGQMzBsL1W2bNmQkBBIViFmVhlyndq+fTvE8odM55AO3KHrigGxCKFCiYmJGThwYB4TcHt7e3/48AFyq6PMzMyEhIQ4CXIJ+PbtG/kvIzQ0ND4+niTx+ZFtZUhNTT137lz58uXhe5ATcjlu2bKlenw9Hj9+3LFjR0tLSzi27Mhh+vr6fvnyRXlLrURHR3/8+HH9+vVubm7wqdnZ2toOHz48ODgYNlAt0kxIx495tTFH5KabNBnYACGEFAQH3BFSuvDw8JEjRxYvXhwu6bkgGXbv3v3jxw/YTPLLfMOGDelULS2tw4cPQ4IKrVq1ii4AG7m94e0apI0bN4ZSUpSXl5f8o+5sjo6OXP2SgRDiSrdu3egzALnffvfuHcQqX2JiYrFixeiPZnh7e0NyQWzYsEHm1WwLCwtyuwvJKnTmzBkoAUUtXboUYvlDpnNIB+5ATUlBLEKoaJ4/f57js7Q0XV3dMWPGCHrQ+enTp2vXriUXr5o1azo5OeU9UXXeyLbOzs4eHh49e/bcvn27Ov0gkZaWNnPmzJIlS8Kh5kRPT2/x4sVq/MLrs2fPyLU47x8bHBwcPD09SfeDtAvyvTp37hzpC+X9klxERAT5qvj6+q5Zs4bcBpJt3dzcSpQoAXvMibu7O+mr8GrO9Ojo6EWLFkH5cqKjo9OvXz9y5w4bIIRQ0eCAO0JKERkZuXLlSjs7O7iA54L0VKZNmxYaGgqbySE9gwoVKkBuirp69SokqIqPj0+tWrVIn4moXr26l5cXb0eoMzMz2ev4z507FxIkQ0J5L7dFjB49mpPhKoSQijErUhgaGiYkJECsSsybN4/+aLbu3btDcr4tW7ZMZnYa4tWrV5CsQuTeHj6eoiZMmACx/CHTOaQDd6CmpCAWIaQgx48fL1euHDQwOQYGBlu3bk1LS4PcvPTjx4/r169Pnjw5j9nqGeSIihcv7uTkVLFiRdJdJ1c3GaQ2HB0dSR5tbW3YJnfOzs6k83z37l0VXxmL6Pnz5//59rCrq+uhQ4dgA01CbiQ3bNjQuXPnatWq5f2Id1GQ+1nyZSN/hcOHD4tEIvhsHsvIyCA34Hk/DDd06FD1fj8GIaQCOOCOkMKQ7inpZ+T9TAFhZmbWo0ePwMBA2Cwf7O3tYWOKWrhwoSC6MipG6qRRo0ZQRxQ1bNgwSMguKiqqX79+zHqqOXJzcyM3G7x9hB8hVETkxptu7IaGhiqe95zc45H7XvrTZfTq1ev9+/c5lic5OTkiIuL27dt9+/aVn5SGpqWl9fr1a9hAhQICAqAEFDVy5EiI5Q+ZziEduAM1JQWxCCGFIifSjRs35jHVjLOz88WLFyE3D3z58mXEiBF5PJpNbi7GjRt35syZT58+xcTEkIsCbFlwZFvSGSa3IUePHh0+fLitrS18hhxy9zF+/PjY2FjYkmdOnDhRuXJlKGsu2rZty8mVkc9IPyQsLOzr16/+/v7kOzBnzpzevXu7u7vXrl0bak2OhYWFp6cnyTBkyJBVq1b9888/b9++JXv48eOH0G+XyM372rVrc+tZEeQ00rp1a64mw0EICR0OuCNUVOfPn2cmfslDu3btbt++DdsUUFpaWsuWLWFHFNWvXz9IQBLkRsXBwQFqR/KbBCTkLi4ubseOHXnP9u7k5ES6lbABQkhdMOt8klssTh5f2r9/P10ABbK3tyd3v/ABKnTjxg0oAUUtWLAAYvlDpnNIB+5ATUlBLEJIOWJiYkaNGgXtLSfkcvDixQvIrVofP36cNGkSlCM7clsxZ86cu3fvQlZVuXLlytSpU2vWrAnlYDE1NZ07d25ERARk5Qj5gy5fvlx+cjY2CwuL6dOns6foROg/ZWVlrVixIrd58Gk9evTA328QQgWCA+4IFcaDBw8GDx4Ml9/c1a9ff8+ePbBNkbHnSylRokRQUBAkaLYjR45ApUiGz27dugUJ+UZuMNgzv+do+PDh2MdCSD2MHTuWbte6urqFOGMoyr1791q0aEGXJP9q1qy5fv3648ePm5qaQpREjRo1OBlfOHToEF0ALS2tLVu2QCx/yHQO6cAduq4YEIsQUrL379/n8XCMjo7OyJEjVfMot7+/f61atWQW4TAwMGjUqNG1a9dSU1MhH9fS0tJI97hevXqkbFBKCVJX3t7eKp6D8fPnz506dcrjlQXCwcGB3BGkp6fDNggVCvnmr169Oo/pd7S1tdu3b4/PvCOE8gMH3BHKr8jIyFGjRv3nOkW2trabN29W0tJMN27cYM/bO2/ePEjQSBkZGZ6enlAXFFW5cuWoqChIKxSy+YgRI2RuLWS4uLjcvHkzMzMTtkEICc2+ffugPVPUsmXLIJY76enpCQkJfn5+S5YsWbRoETkLeXt7t2vXbtq0aQsWLNi5c2dQUBC5prBf3JZfNHXo0KGczDY2aNAgugBmZmaqX2Xkv8l0DunAHbquGBCLEFKVU6dOsddGklGsWLHffvsNsipUSEhIly5d4GOkKlasSK5HpDcLmfiKXID++OMP+QmvyW1RUlISZFKCI0eOsPv5OerQocO9e/dgA4QUJyUlZc2aNXlPQ0oaNc7zjhDKAw64I5SXnz9/Lly4MI+uOc3AwGDu3Lnv37+HzZQpOTmZdC7hgyUvTqr+nVM+WLFiBXsBqI0bN0KCIqSmpu7atYs9TY08e3v7xYsX46M0CAnOjx8/oBlTVKNGjSBWODIyMjp27AgHIGFkZHT27FlIVi3mR+jSpUvz8ZdImc4hHbhD1xUDYhFCKrdu3bo85hW0s7O7cuUKZC2aTZs2wU6lXF1d/f39IVlozp075+joCEciQa4CJ06cgOQii4qKWr9+vaGhIew9J5aWlhMmTFDxEixIky1btszGxga+fznp3LlzgZZnQwhpCBxwR0hWXFwc6Tj+5yC7ubl5165duZpmxM/Pj/2kCem7h4SEQJq6O3bsGBy2RP369cPCwiBNCR4+fOjl5QUflov+/fu/evUKNkAI8VtqamqzZs3oxuvg4CC4xvv48WOZR66qVasGaap17do1KIHkNAixvCLTOaQDd6CypCAWIcSRiIiIiRMnQoPMSd26dd+8eQO5CyI5OXn48OGwFwkDA4Pdu3erx5r8SUlJK1asgAOT0NPTmzNnDiQX3OfPn7t37573O6YlS5YktwBFWTAWoaJISEj4448/8v6Wtm/fnpMFdRBC/IQD7giB27dve3h4kP4iXDBz0ahRo4cPH/Lkuea9e/eyJzSsVauWel/jjx49yp7Sx8HBQZU/eERGRs6YMYP9WL28ChUqcPWcKUIo/5iZx4klS5ZArBCQq0/lypWh6FInT56EZNVq0qQJlICiuFp48D/IdA7pwB2oLCmIRQhx7d27d61atYKWmZNRo0Z9//4dcucpOjqaWZqbVrt27dDQUEhWL48fP3ZxcYHjlOjZs2f+x8QvXrxIbr5gy1y0bNkSJ41BfLNs2TL5SZbYevXqVbjf6hBC6gQH3JFGu3379sCBA+HCmLs6deoocO1ThZs3bx4UVMLBwYEcF6Spi0WLFsHhSZiZmXF7jHv37q1SpQqUJifFihUjf5f4+HjYACHEJzExMbVq1aJbq6WlZXh4OCTwW3JyctWqVeliMxYvXgzJqnX69Gnmrf8ePXpALN/IdA7pwB26uhgQixDijZs3b5YuXRqaqBzS//ztt99yWzAjMzOTWZSb1qdPHyWt6sQr379/9/b2hmOWrKGdxypTpPaWLVuWx3w+hLa29sSJEyMiImAbhHiJtO41a9bo6+vDF1eOrq5umzZtNOc1dHlZWVnk/HD8+PG5c+cOGDCgQoUKjo6OpPmbmpqS0ynpRpLThQxSnySJZLCysnJwcChXrhzpZM6YMYPcfb99+1Y9XhJCmgMH3JHG+fz5Mzll/+eT7E5OTosWLeL/QkaMgwcPyqyoPmbMmJiYGEgWpoCAgBo1asDxSFSrVo1cayGZB169etW8eXP2SrbySE8LJ5xBiG/++OMP0q2nG+nQoUMhlseOHDkiP63trFmzIFm1yE0mMy0PuZ8k52pI4BuZziEduEPXGANiEUL8s3HjRktLS2irckqXLv33339DVgmZudpbtGgRFxcHaZrh06dPrq6ucPwURfrGR48ehTSxmPTeZebYkVe2bNlt27bBBggJR0ZGxsqVK4sVKwZf5Zz06NGDV/ewyuDv779q1SrSPzQzM4PDVhrSh/f09CTd4Js3b8LHI8Q/OOCONEJqaurChQudnZ3hDJ0LcuKeM2fOx48fYTMBevXqlczzjzY2NsKaMIEICwvr3r07MxZGGzNmTFRUFOTgH1Jm8h2TKbOMChUq/PXXX7ABQohr7CfyDh48CLH8Q84tpqamUFCWffv2QQ6VW7ZsGRSCohYsWACxPCTTOaQDd6DKpCAWIcRXKSkp48aNy+MJ1tq1a1+5csXNzQ3+TVGVKlUSyltTyvDkyRP2VBs1atSQnwaNTVtbm9Th48ePYXuEhOw/R97JrWKnTp2CgoJgAyETiUQhISGkE0j6qDnOuUoizczM7OzsyH39mjVrzpw58+3bN3JSJbWUJQE7kkP2TFJJttTU1Li4uEuXLm3dunX48OFlypSxsLDI7blJAwODvn37BgQEpKWlwY4Q4hoOuAvEu3fiY8fEc+eKvb3FNWuKjIxkjzcfQaSlJapQQdyokXjyZNHu3WLSs+HHRORKQk61e/fu/c+ZAckpu3fv3n5+frCZuiCXJXJBgoOUGjJkyPPnzyEH/5w9e7Zx48ZQVqmaNWvevXsXcgjEgQMHqlWrBgeQE11d3dmzZ+dzMlCEkJJ8/vwZ2iRFkfsBFfzampiYyF7v1N7evl27duReZcOGDUePHiW3IuQ0+Ndff5F/klMEua+AfHL69evH4QtYjx8/hnJQlKenJ8Tyk1xf6N/AHag1KYhFCPHe69ev27dvD003F6R39+eff8IGmm369OlQKbmbPHmyoB9yQigPmZmZ27Zts7Kygq97Tpo3b87T9W/y9OTJkz59+uQ4K5SpqenQoUNPnTqlgll0fvz4cenSJXIaKVu2LHw8i7a2Nulgnzt3DnIjxBEccOeflBRxUJBo/nyxg4NYR0f2uGSCnp7YyEhsbCy2ssohmJr+m2pgILuVTNDSEpuYiAcPFj99Kk5IgGIIU1pa2u3bt+vWrZvjr6wMPT09Dw+Pe/fu5fHLqnogF/stW7bY2trCkUvp6+sPGjSIdHNJBsjKheTk5Fu3btWpU0d+ShY3N7dHjx5BPsEiNdy2bds85i/S0tJq1KgRf2djQEjtJCQk7Nq1y9HRERohi6urK+m+Qz7l+PnzZx6zA/8nMzOz1atXc3vlunPnDvOmsLGxMd9XqpDp8NCBO3S9MSAWISQc165dk19Lg6hUqRI5w0MmJBZ/+fKlZMmSUDtSpUqVWrt2LeRASDNs2rTJ3t4e2kBOWrRowfOR97S0tFOnTsnPFmBoaFivXr1jx45BPk69fv26d+/eJUqUgMJJkV7r5s2bhT7RLhIoHHDnh6Qk0ezZ4qpVZY9CGkSVK4vHjxcdOyby9xeHhPw7KF8ImZniiAhyKhKfPy9etEjUpInMp/wKJUqIBg8WC2cQkFyiunbtamJiAqfVXFSuXPnQoUMJAv9RodBu377dq1cvqIvs3N3dx44d+/DhQ8iqTCdOnOjevXuOQ05GRkbz589///49ZFUjkZGRq1evNjAwgEPNiYuLC85ciZCSkJuB+vXrQ2PLnZ2dnbKfHE9JSdm3bx8zAfp/Kl68+OTJk8n5mQ+/ED99+pS51JqbmwtgNlKZ7g0duENXHQNiEUJCExQUxH5dadq0aZCAWNLS0lq2bAl1JJl+BxIQ0jzJycl79uzJe3JzLy+v169fwwb8QPrPTk5OUD6pWrVq3bp1ixwRZOKfgICAjh07QnGlSMf1t99+gxwIqQQOuHMnPl78xx/iYsVkS06Cu7towgSxSkY/QWSkaMkScdOmInNz2cJQlGj4cNGbN5CTN969ezdv3jxdXV04g+aiQoUKixYtSk1Nhc2QxMuXL4cOHZr3pPYNGzacPn36rl27zp8///Tp069fvyYlJcH2uUhPT09ISHj//v3Dhw9PnTq1adOmESNGVKlSBfaYk5o1a86dO1ej1pU6ceKEu7s7HH8upk6d+uXLF9gAIVQo9+7d6927NzSq3DVt2nTSpEnwD4qytbVVj7k1FY49k4yFhQWfJyj7Ra5L82/gDlSfFMQihASFdInZr2Zu374dElBOFi9eDDUl+VX7/+zdCbgcVZn/8UsIIYBg2CQoS1jUoAhRUIMjGsUFXAFRoyMC/schA4qRUSauURAzjmgYGI3osChgHLc4LkRQxA0jm4gjBhUIIBA2CXtCQu79v9T51eF019JV1V293e/n6ec+t85SW9fy1tvV1V141gTQ50499dRkFjt00EEH2dW3WvfCX//61ze+8Y2am4gd9I444ohbbrlFLQbEAw88cMIJJzQ9VX/vvffuzo2GAAn3rrv77rHDDx+dPLlhbidOHHvxi8d+/euxfsgLj46O/e1vo8cem3wWzehee41deqma9cKaNWtOOeWU1EeGhTbeeOO5c+cSzxVka/Xmm28+6aSTdt99d1t1+T/72Q47T2+yySb777//mWeeec899wz983xasgu2t771rcnH6XgTJkzYd999f/e736kDgFbuuOOOww8/PP8GIrPddtt97WtfC7/wdMkll/ij38SJE4fgkVadZSdft3LMpptuunLlSlX0ucYwRq/e0RqMqRTA4LjyyivD5zL/8pe/VAWyLV68WOsr+lrteP5RWcCza/D//u//zglZLS590Yte9Je//EUdusLi4abfgbOr0RtvvFHVA+uee+6x6+4w0TF58uSvfOUrqgbqQcK9i046aXTixHAmR7fdduwLX6j4fJiuueSSseTDZw4+eKyLNwCeddZZL3zhC3VozHbEEUf86le/Uh+0Z/Xq1Zdddtn3v//9//qv/5o3b96b3vQmewu22Wab7bffXqs7wU5g22233Y477viSl7zk3e9+9yc/+cmvfvWrP/zhD6+77jqNFBnuv//+z33uc/mfJO26666nnXaaOgAI3H333R//+Mfz7xUyW2655YknnnjTTTepW4JVhbvhSSedpIpx7x3veIdWysjIPvvs089fIm7WFL24V+9oJcZUCmBA3Hjjjf5cM2nSpJ/+9Keq6JGrr7763HPP/cAHPnDYYYftt99+M2bMeG7M4va3vOUt73//+7/0pS/19lZZ58tf/rL/XvJOO+20du1aVQAYGzvjjDO23XZbt4Okes1rXnPFFVeodT2++MUv2mFN04tu/BrKfPRPfvKTph+zPfbYY1f3eUYOA4uEe/0sxNl554Z522mnsf/9X9UOkNtvHz3ggIYFGRkZPfts1XbU+vXrf/WrX4VP/UtlpwELLvn5aQyTH//4x3vttZc28QzHHHPMENxoALTj3nvvXbx4ccsku4XUs2fPLvWImBe/+MXqPDLyrGc967bbblPFuHTVVVdNnjxZq2Nk5Oijj1bFoGgMWvTqHa3HmEoBDII1a9b4G4AmTZpk5yBVdNfy5cvt8sfNRlmvf/3re/jEwi984Quaj5GRV7/61SoFELDdJPmzn6FZs2Z1/Bd0vv3tb2vskalTp/b808S6/eUvf9l77721wJFPfOITfP8eHUfCvU7f+MZY4yPRR+fPH2v1FOwB8MMfjk6Z8sRybbDBWIeuwK+77rpDDjmk5aMAdtppp+985zurVq1SN2AY3XTTTe9+97u10WfYd999L774YnUAxoELLrjANvucBzE5Bx100JVXXvnYY4+pW0n/8z//E2aZLQRXxXhiVx3HHXecVsHIyGabbdZvP+RViI9VwlfvaG3GVApgEPzLv/yLdt3o1geVdtH3v//98NxU2fbbb/9///d/Gml3vfWtb3XzMGHChBNPPFGlABqtXbv2K1/5StOjXZq89KUv/cMf/qAOVf3+978P8/v2v8XPqhsHbrvttn322UcLHz0y8Vvf+pbqgE4g4V6P004bmzDBz8zo1Kljv/iFqobGnXeOHnSQX8bHXzb44IOqLeyGG2444YQTWibZd955509+8pN33323ugHjxmOPPXbKKafstNNO2hnSPPWpT/385z//6KOPqg8wRC6++OIiv336spe97LzzzlOfto2OjtoINeooBF+yZInqxoHTTjtNSx456qij1q1bp7rBEkYp/tU7WqExlQLoe1/72tf8E1H23XdflXZR6nnwWc961tm53zb+0Y9+lHU7/IUXXqhGXXTHHXc8+9nPdjPwpCc9iWeBAi2dfvrpT3va09xek+pVr3pVhV/8Wrt27WGHHaZRRN/a+Z//+R/VjTOXXXZZuIZ32223e+65R3VAe0i4d9pPfjI6aZKfjdEZM0aH+8kPa9eOHX+8X97HX3PnjrW6qdAOYXYxv8022+iolmHLLbd85zvfye/qAJ4FBM973vO0h2Q4/PDDc55SDQyEG2+88b3vfe9GG22kzTrDtGnTFi5cWF8u+E9/+pOF3ZrYyMiUKVN+/etfq25InX/++RMmTNACR09sv//++1U3iML4xL96R6s1plIA/e2RRx55wQteoP12ZKTLv2Fo7ISoaQcuuugiVbdy8803Nz2z2EyePPnWW29Viy765je/6Z8TbSErD3MHirCj0DnnnLPFFlu4fSfVS1/6Ugtc1SHX0qVLN9lkE3UbGfnnf/5nVYxjixYt0uqIfpruP//zP1UBtIGEe+fcccfYjjv6GXj8rvY//lFVQ2/Nmsd/RtWv/I02Gk37Ms655547Y8YMHcayve1tb7v88svVB0CaG2+88fjjj9c+k2Gfffa54IIL1AHoe48++ugJJ5wwbdo0bcEZ7EL9U5/61PXXX69u9bv44ovDh9hsvvnmX/3qV1U3RObPnx+m2rfccsuCl219zUcm4at3tHJjKgXQ3772ta/5w+PRRx/d5W/83Hrrrcn7W+fNm6fqYn7yk5+oZ8yW6Mtf/rKqu2h0dPT5z3++ZmJkpP1nYgDjzX//938//elP1y6U5oADDvhF9vMVwmeWbrXVVhXujh9WK1eunD59ulZN9GWmyk+nBBwS7h0yf76f9OiECWPj6YvnT7j11rFnPOOJ9bDvvmvuvvviiy9+7Wtfq4NWNjsr8MAsoJr//M//DG/CTdpss81OOeWU++67Tx2AvvHQQw/ZZYP/gnkW24aPPPLI3j5D/JJLLmlKeRx11FF///vfVT2wrr/++te//vVapMiMGTO6+XlGveKYpOHVO1rFMZUC6GP333//K17xCrfPbrnllt3/ntNvf/vbrbfe2s2A95WvfEXVxdgJdOONN1bnyIQJE3r14fF3vvMd/wHGYYcdplIAZaxbt27JkiXbbrut25VS7b333ldccYU6RF2e85znqG5kxI5so6OjqkPsgx/8oFbQyMg222zDF8fRDhLubbM9cNo0P93RV796bJz/uvGXvvTE2th00wXPf77/2mCTXXbZ5ZxzzlmzZo06AmjP1Vdf/cIXvjC8R7XJxIkT3/CGN9xwww3qgFxr16595JFHVq1adffdd//sZz877bTTPhx5y1veYhHqq2KvfOUrba2ecMIJH/3oRz/zmc/YZeRtt9127733PvzwwxzfUtlqsfVpEX/Otmrs3PHiF7/497//fV/dXXL99dc3PdbpSU960hlnnDFwv6Bg2/b8+fObHtrz+te/ftg22jggaXj1jlZ0TKUA+pgd9v2hcubMmT15BMoznvEMNwPey1/+cjuMq7oAi0/UM7b55puvXr1a1d01Ojpqp043G5MnT14/zq+dgbZ9/etf32WXXdw+lWrWrFkWrIbfIv3Upz6lzkhYsmSJVlMU5//4xz9WBVASCff2XHTRE1PcZJOxH/5Q5ePb6O23jz7zmX7NnBI8RmaLLbZYsGDBzTffrKYAamC72Lx587TXZdhnn32++c1vqgPGxi699NJPfOITr3vd6575zGdusMEGWk0dstNOO73iFa849thjv/e9743be0l+85vfHHzwwU132CXZlmlhbv+nfc8+++zNNttMMx3ZcsstP/CBD5TKgHTf7bff/q53vavpg/AddthhaK8lfJAWvnpHazymUgB97Ktf/ar22JERO8irtLvOPPNMzUFg++23v/fee9Ui11FHHaU+MTsXX3fddaruBf8bsBtuuOH3v/99lQJoz/nnn7/zzju7nauJfzpiD7/dMkB+/vOf+88FDQ+/QjUk3Ksb/fSnR/3ktt567K67VAHnta/1b8fVu+22YggeBQsMoC9/+cvJG6NCEydOPPnkk+8aZ0ew22+/ffHixU1P0mhiYdYuu+zyvOc978ADDzz66KNPP/30b3/72z/4wQ9uSHPhhRdarV0SH3fcca973ete+MIXPv3pT0/+Rllo5syZ//mf/9nbx6TUzZbuhBNO0AJnmz59+oknnjiIH0WsXbv2gx/8YPLL/rbZfO9733vggQfUrqdWrFjxhS984alPfapmLrbDDjuccsopajSsfJwWvnpHqz6mUgB97IgjjnA77OTJky+55BKVdt0vfvELNxtN7ASa85SbhQsXhj+N6Oy7774FM/X1Of/88zU3vfsYAxhW69ev/853vjN16lS3i9lBYNNNN3X/m3POOUfthoJFufqv06644gqtsujjiquuukoVQGEk3KsKHto+9opXjD38sMoRWrDAr6XR/fYb4xHSQO/86U9/etnLXqaoIc1GG230yle+8q9//as6DJ3777//4x//eDLtaCZMmLD77rv/+7//+3XXXXfPPfd09gvjo6Oj9913n4WD55133syZM8Of3/S23HLLt7/97cOx8t2zSvKfKWk23nhja3bHHXeo24Bbs2bNt7/9bX9t49nbvf3227/nPe/53e9+17Vn49iELr744je84Q2p78IznvGMn//85+PlZ6B8qBa+ekfvQUylAPrYy1/+crfDbrbZZn/5y19U2gt23D7uuOPczCS99KUv/elPf+paXnDBBXvvvbcqAjNmzOiTGywuu+wyzdPIyFve8haVAui0iy66aMcdd9TONjLS8Z9KfvTRR88999zkPUZ25FSLDvnRj3501FFHJT9BTLLLure97W0/+MEP1LMN11xzjf9url1CDs9PHKFbSLhXMfpv/+YnNPqiF4314ll+g2L0s58d23BDra7nP1+lAHrnzjvv/NjHPjZ58mQXPaSy67Sh+bLhj3/841mzZmnBAm984xu/+93v3n333WrXXevXr//JT37y//7f/0vm33feeedTTz1V7QaERduLFi2yK3ktQ7ajjz768ssvV7chdf/9959xxhkvetGLtMyNJk2atM8++xxxxBGnnXbaVVdd1eavGdsG/POf//wzn/nMO97xjj322EPTSDjooIP+53/+pyePHu6xOFprePWO3o+YSgH0MZ+revKTn/zQQw+ptHdGR0e/8pWvTJkyxc1VQSeffPKDDz6oUfSBW265RXM2MrL//vurFECn/eu//qv2tJGR+fPnd+rrpI899pgFnznf5X31q1+tpu255ppr9txzT420vGc961nLly/XuCr55je/qXFF4XRfHUjR/0i4lzZ6yiljEyZoKv/wDyrtvjvuGLvyyrFPfGLsyCMfn43dd3ezNLrHHmPPec7o4YePfec7Y9ddN7Zundr30Ic+pNVls2cR1Ti5qw4YBBZD7Lbbbgoi0my44YYDehvyT37yk9QHfSxdulQt+smKFSsOO+yw5F0bFsv27TPB16xZc/HFF8+cOVPzmmHSpEkveclLfvGLX6jb+HPrrbd+/OMff/aznx0+C7KgvfbaK7wvqSDb8p///Od/8YtffJiv38XhR8Ord/QOxVQKoI9ts802bod98pOf3KtfGc1y/vnn5/8yip2C3/Oe9/zxj39Uh75hZ0b/w+kvfOELVQqgo77//e+7vczst99+7X9k+Pe///2EE04ocpt5+wl3m5ZFsxpdox122OFd73rXhz70oTPOOOPMM8/81Kc+9d73vvc1r3mNP6o0OfTQQ9s5evsHi5mTTjpJpUABJNzLGV22bGzSJDeJ0Re/uMtPkhk977yx5z7Xz0DR1+abP56U7+1V9yc/6Wbm8afen3iiCgH0jT//+c8WiyiUSGMRzAEHHHDNNdeoQ7+66667XvGKV2imY0ceeeSNN96oFv3t3nvvPfXUU5u+f7DbbrvlPKG1y+y63SLalrnjPfbY4wc/+EGfPMS8rzz88MM33XTTb37zm4985CMveclLyt6l2ORpT3uavR0LFy68/PLLb7vttvF4D3s+HwuFr97R2xZTKYA+5jM+duLrk1ji+uuvf+Mb35j6hLocO+200ze/+c11/XAz1tjYddddp9kaGXnta1+rUgCdMzo6ut1227m9zA5fFnyqorw777zzqKOOmjhxohtbaNNNN33nO9+5zz77aDjWZsL94osv1ogCW2+99YUXXqgWGR599FGLrtUhYH0r38Nka3KHHXbQiEZGbG2oAmiFhHsZjz46utNOGv/WW4/97ncqr9sDD4y+4AVPLFrV1+hznmMHS42zyx56aOzlL9ecTJgwdsUVKgfQZx588MGPfOQj+b/2ufvuu5911lnq0Df+93//tyl3+brXvW5wn7W3du3aD3/4wxtssIEWJmJvjaq769prr507d274g0uppk+fvmDBgr69JX8Q3X333XbloAFUEERBT7x6R7tKTKUA+tib3vQmt8Nusskml156qUp74eabb7bAxs1Mk0MOOcT/oOstt9zy+c9/3ifakvbZZ5/ePozeXHTRRZqbkZFjjjlGpQA656STTtI+NjJy7LHHqrS8+fPnayyBnXfe+b//+7/dbeOpOe52Eu6//OUvNZbAP//zP6u6gCVLliTvdrcL2Pvvv18tSjr77LM1lpGRN7zhDSoFWiHhXsLo//t/fvyjp5+u0i44++yxiRP9pB9/bbbZ6D77jH3ta2MPPDC2fv3jbUZH9Vq3bvQb3xjdbruG9uGra58TNPnTnx7/lCKah8c/twDQ30ZHR3/84x+3fODMe9/73nvuuUd9emH9+vULFizQDEW23XbbH/7wh6oefDfccMO+++6rZYscdNBBXXiM7N///vfPfvazT37ykzXVDFtttZUF8b3dBoBMYfzjX72j3SamUgB97MQTT3Q77IQJExYuXKjS7rrzzjuf9axnudkIHXLIIfnn32uuuWb//fdX60b77bdfDz8g/8hHPuJmY4MNNli0aJFKAXTIvffeu9NOO7m9bKONNrKoXhXlHXPMMW48dgx88YtffEXi1snOJtxvuummXXbZRWOJVfhY7vzzz09+Dej4449XdUmPPfbYM57xDDeSLbbYYtmyZaoAcpFwL+yaa8Y23dSNfP2zn63Crhi96CL31PjRl71s7Je/VGlL69evP/RQrY3wtfHGvfqV1/DHZsc+9zmVAuh711577Tvf+U4XZGSxSKv7d37ZRVr49cYZM2bYrKpuuDz00ENHHXWUljPylre8pVM/fBT60pe+tPfee2sa2d71rnddddVV6gP0LR91hK/e0f4TUymAPvbHP/5Re2znfgawlC9+8YuafODtb3+7qguwi8L3ve996hnYbrvtehU17brrrm4eNtpoo7/97W8qBdAh55577qRJk9xeduyxx9pBQBXlrVmz5re//e1dd92l4YTOJtw//OEPaxSxpz/96XfffbeqC7NFnjVrlkYRe9rTnnbdddepRUlnnHGGxjIycsIJJ6gUyEXCvbDZs58Y+cUXq7DvjZ500hOzHb9GP/1pVXfZ2rWjG2+s2dh558efMwNg0HzsYx/bfvvtFW6ksdr//u//rvu2qZ/97GfhY8Sf+9znjpMLtn/5l3/RMkc+8pGPPNbeL1FbPHrhhRcecMABGmO2V77ylcP01QGMC0Hw88Srd7QvxVQKoI/ddddde+65p9tnd9111y4/jOWnP/2pm7S34YYbfq7SfUtLly5N/tThgQce2IXvzDW55ppr/J2n/GIqUId/+qd/cruY+f73v6/SenQw4X7DDTc85SlP0Shi73nPe1Rdkl2QJm9y/8Y3vqHqkv74xz/6H6m26yYe+YgiSLgXMrp8+diOO7oxj+6//9iDD6qi/61aNbbBBk+sFrcIPXxS3qc/rdmYMGHszDNVCGDQPPbYY7/61a/22GMPF3akmjx58pFHHtnOdxhT2aRnzpypaUT3Z/2uV0/K6pEHHnggfIrrpptuutxOUmWMjo7+5S9/scvspl9nbbLBBhvsuuuu3/72t3ksOwZVEPw88eod7VoxlQLob+Edl9WS3dWsXbs2+dD2rbbaqvLNqslvK1oY8Kc//UnV3TJ79mxNfmTkK1/5ikoBdMhdd931ghe8wO1i06ZN++tf/6qKenQw4f7jH/9Y/WMTJkz4yU9+ouqSbrnllvD2LGfOnDnV7lVatWrVy172MjeSpzzlKePt8hPVkHAv5jvfeWLMCxaocCA89JB/Eo5/jX7+86rtutGrr35iTo46SqUABpldqv3zP/+ziz+yWBx20UUXqUMbzj333PB3RD/fu6NZz1mc5++zMO9+97tVkc0C7mOPPTb/F3HNdtttd+qpp952223qBgwuH3KEr97RPhZTKYD+dsMNN/iftNlpp51WrlypipqtXr06+ej2F73oRaouL/mshu233/7GG29UdVdcccUV/g7W5z3veQ8O0H1swIC47rrrdtxxR7eXvfSlL121apUq6tHBhHvy4VcbbbRRO8eoHXbYQSOK2UG18o1Ec+bMcSOZOHFi5Y8BMK6QcC9g/Xrbt9xoRzfbbPTnP1f5QPj9759YJ/7VibRXRXfeOfbc57rZGH3Oc8a6FbAC6I6TTz555513drFIqi222GLRokXVfiP+Na95jcYS/dD8HXfcoYrxav369eE3RnfaaafkAxZvv/32008/fcqUKWqUYbvttnv3u99d4QmJQF8Lgx//6h3tbzGVAuh7xx9/vPbbkZH58+ertGaPPfbY4YcfrqnGJk+e/Jvf/EYtyrjvvvue+cxnaiyxN77xjd18pIzFLUcccYSmPTJy/vnnqwJA51x55ZWbbbaZ28sOPvjgtTX/gF+nEu6jo6MHHnig+scmTZq0bt06tSgv+czMXXfd9eGHH1Z1SR//+Mc1lpGRb33rWyoFspFwL+Dhh0dnztRop08fG6ib/kZf9aon1ol77b236nrlXe/SnGy++VjXv8MIoAvsgmrZsmUzZsxQSJJm0003ffOb31wwaX7vvfdOmzZNPdv4ifmh9N3vftf/cuxGG230i1/8wgrPOuss/2P6Od7ylrf8+c9/ruPHV4G+4IOf8NU72vFiKgXQ99auXRvGIZdccokqavb73/8++ZH55MmTv/SlL6lFMVdeeeXUqVPVP7bNNtt0+akIX//61zXtkZHXvva1PAQZqIMdoLSbjYy8853vVGltOphw32effdQ/9rSnPU3VlRx00EEaUcyuQB944AFVl7Rw4UKNZWTk9NNPVymQjYR7AbZDTpum0e6zz1jVD8S6b/SEE55YIe619dajN9yg6l4J5mr0sstUCGBIXX/99e95z3vC58Ak/cM//MMPfvADdUi46qqrttxySzUdGeF3O5Nuu+22rbfe2q2fSZMm2SV08jeCPAs96/71JKBf+PgnfPWOdsKYSgEMgr/97W92hnU779Oe9rSuPXht2bJlW2yxhZtuk+c85zlnnHHGH/7whzvuuGPNmjXr1q1bG3nsscfuueeev/71rz/+8Y9f+9rXqnWjbbfdtstfa7vhhhs07eh7dcnv5AHoCDto+AuBt7/97XXfWNPBhLsd09Q/tuuuu6q6kmTCfbPNNquccJ8/f77G0saPr2JcIeFewL33jk6cqNG+9KUq7H9z5z6xNtxriy3s6KvaHvqP/3hilrJTbACGz+mnn558lF5ok002OfXUU++99151iJ6I4kPGrbba6qqrrlIFGtll87777utWlGm6vX333Xc/66yz1BQYP3y8Eb56RztkTKUABsQ3vvEN7b0jI89//vO7ljIeHR39/Oc/rwm3bfPNN//e976nUXfLn/70p/Dmicu46Qqoje1u22+/vdvXXv3qV1d+gkpBHUy477nnnuof22233VRdSTLhvtNOO1V+jtZ73/tejWVk5Ec/+pFKgWwk3AtYtWrU/+7oQCTc16wZnT79iVURvUanTBkNcli9dOKJT8xYt76PCaCvXHHFFf533lNtvPHGb3vb277//e/7y7MNN9zwb3/7m/r3zm233WZR7MUXX/y1r33trLPO+u1vf3vttdfeeeedqu6pRx55ZJdddnGry7z97W+36/Nbb71V1cA45OON8NU72jljKgUwOE466aQJEya4XXjmzJl13zraxOKNuXPnJn9JtaXJkye/+tWvXrRokUbUXTfddJP/gZ8NNtigI7+iDyDLLbfc4jPX++67b92/89zBhLv1Uv/YpEmTVF1J8gGnVrJ69WpVl2GL+eY3v9mNZLPNNvv1r3+tCiAbCfcCHnxw9JnP1Gif+9zHnzDTx0bPO2/Mjkp+PbjX0UfbAUwteu644/yMjV55pQoBjEt33XXXscce63/YJ8vmm2/ezi/UV/b73//+hBNO2GabbTQfBdgl5YknnnjPPfdoFN312GOP7b777m5ObK3+7Gc/UwUwPvlAKHz1jts3PZUCGCgnnXSS9uHo+2Rra/5Bwizr1q17+OGH//73v19zzTXfT1iyZMkdd9xx//33r1mzRh165Lbbbttuu+20vkZGvvzlL6sCQD1GR0d9aniDDTao9jPLxXUq4W7++Z//Wf1jEydOvP7661VdXvIi7ogjjrDLJVWXYZeiO+20kxvJjBkzbr/96SitdwAA//RJREFUdlUA2Ui4F2Bhih0v3Gh3333s5ptV3mdG77tvdNddn1gD7rXFFmN/+INa9AM7ur3tbU/MGz+aCiBi143nnXfeU5/6VBfHhCxSPOecc9SuK9avX9/yufMtbbzxxr/61a80xi6yC2//sNfnPOc5XX5CK9BffDgUvnrH7ZieSgEMmv/4j//Qbhw97+6Pf/yjKtDoJz/5iVZT5Pzzz1cFgDqdcsop2utGRhYsWKDSenQw4f6tb31L/WN2OWaFqi7p8ssv32STTTSi2Ne//nVVl3TxxRdrFFHWXqVALhLuxXzsYxrthhuO9uFjxx99dOygg55Y9vg1evLJatA/br11dLfdNIcvfOFYj24CBdDPLrvssvBH6g899FBVdIVdNm+88caadmCPPfawEO3GG2+866673P1ia9eutf+vv/56CwT32msvtWv0pje9yY22m0477TT/4PsjjzxSpcA4FARFT7x6x+2VnkoBDKAf/OAHEydO1M7ML7qn+cxnPqO1MzKy6aab/okbrYBuueKKK7baaiu39+277761ftOlgwn3a6+9dqONNtIoYq95zWtUXdInP/nJptunttlmm//7v/9TdUn/9E//5EYyadKkr371qyoFcpFwL+bCC0c32EBj/rd/U2E/ePTRsWOOeWKp49doL1I8hSxb9sR8vu99KgSAgMVtPkbcfPPN161bp4r6XXXVVRZFuUl7b3jDG1Tdypw5c9Qn8PGPf1zVXTRr1ixNfmSEX5rF+OVDjvDVO9onYyoFMJhuvvlm/5Uys//++z/Q348e7ZoHH3xw+vTpWi8jI3vttVf4e/gAuuDggw/WHjgysmTJEpXWoIMJd7voO/zwwzWK2LbbbnvFFVeoRWHXXnvtjjvuqFHEjjvuOFWXtGLFCo1iZGT33Xfv8q93YHCRcC/m5ptHn/50jXmvvcbuu0/lvWXHC/8xgH/NmjXWxwHN6Pve5+ZzdNKksapfDgIw3E4++WRFNCMjn//851XaFa9//es14djrXve6Uj+t8/a3v109Y3bNeccdd6i6W6655hpNfmTkZS97mUqB8SYMkPyrd7RPxlQKYJB96EMf0i49MjJhwoRzzz1XFePV5z73Of81O/PZz35WFQC66IYbbtBOODIyderU9evXq6LTOphwNz/96U8333xzjSU2a9asBx98UC0KsIUNP29wtt9++9tuu00tSnrFK16hsYyMVH7EDcYhEu5Fjf7rvz4x8qoPfuqYk056Ymb8a/r0sT7/6Ya///2Jud1zzz76HVcAfcMioWc961kuoHna0562atUqVdTv3nvvDR9l45xyyimqLuacc84Jv2Nudtxxx1tvvVXVXfSWt7zFzcCTnvSkCy+8UKXAuOKjjvDVO26X9FQKYMDdfPPNFrFox46il9///veqG08uuugiCzm0FkZGXvjCF955552qA9B1/jdIN9hgg7lz56q00zqbcDfh06g8uzws+GAcu6BL/lbqhhtueMstt6hFSXZx5x90s99++3F7O4oj4V7Y3XePPfnJbuSjm2/++I9/9sTnP//EMvrXzjsPxK+Pjh566BPzXOfXmgAMrqVLl06YMMHFNMcff3yXY5o3velNbtLeS1/60kceeUTVBcyePVs9Y0cccUQ3n4rj2ZrUHIyMfPSjH1UpMK74qCN89Y52yJhKAQyFr33ta+FvwOy3337j5zkq11577fbbb68lHxnZZJNNLrjgAtUB6JFVq1Y973nP83vlj370I1V02stf/nI3Fe+1r32t6ir57Gc/qxE1OuSQQ+xoo0YJV1111UEHHaSmgWnTpv3tb39To5KWL1/uD25bbrnl9ddfrwqgABLuZXziE378o8cco8KuOeOMsUmT/AxoNrbffvSyy9Sgvz3+Y7ObbKI5339/lQJAo/nz57uYZoMNNuj+T5B985vfDL8H7Vioqupco6N2ZjhGfWK77LJLr27vsohwu+22c7NxwAEH8GBZjEdByPTEq3fc/uipFMCwsEjghBNO0B4e2X333Sv/Rt9AuPTSS7fcckstbfRQnS984QuqA9Brv/3tb/3t3jvssMPt5Z+I8Ic//CH5Q6ZtelOBXxy89tprd911V3VIsFnaZJNNnvSkJ2222Wb2T9PXi0Of/vSnNcbyHn744f3339+Nx64QeWIYyiLhXsZjj4296lUa/+TJYz/4gcrrdsEFo365/GuXXUYH6HfwbrttbPfdNedbbjl2880qB4DAI4888rKXvcyFNXaNetNNN6mii6644oqmX7R33vzmN99zzz1qlPDtb3978uTJaho74IADVN0La9ased3rXufmZOutt/7rX/+qCmD88FFT+Oodtz96KgUwdJrS7ttss82ZZ56pumFx8sknb7bZZlrCKBv1X//1X6oD0DfOO+88fzuRXRGUvQXHjl2ubwdtt912GnsrV1111axZs9StjF122eW73/2uxlLVnnvuqdGNjLznPe9RKVAYCfeSrr9+bMcdNYlddx2r/77F0csvH9tiiyeWq4Ov44/XNLrgsMM00QkTxs46S4UA0MhCQP8A93333bdXN2WvXr36He94h5uNJhMnTvy3f/s3f9P6zTff/MY3vlF1gf3226/7P5Sa5B/daK655hqVAuOHj3nCV+9ob4ypFMCQ+upXv/rkJz9ZO3zEYpurBuiWqTQXXXTRTjvtpOWJPPWpT126dKmqAfSfs88+W7vryMj06dNLPS3TfOITn3j3u999dIe8853vvPzyyzXqwtasWWNH1Je//OXTpk3beuutp0yZstFGG02YMMEuzbbccksr2WWXXV7wgheceuqpDz30kPq0Yd26deEPpX7oQx9SBVAGCffSRr/3vbGNN3ZTGZ061fZFVdTk179+/G76cNE69Bo96CBNomaPT8hP9P3vVykAJNxzzz2bbrqpi2wsourtj9KsX7/+ox/9qJuZ4j72sY+V+hn9Wv3bv/2bZmtk5LIBef4Y0ElB2PPEq3e0N8ZUCmCo3XTTTf4LZ96LXvSiX/ziF2oxCL797W/vvffemvvY//t//68fbi8A0NI555yj/XZkZNttt73xxhtVgYR77713v/3208oaGTn66KPtqlB1QBkk3Cv55S/9hEanTRtbtUrlNfn+98eOOKLzrxUrNP76rFs3+pa3+HU1xtdwAOS66667FNqMjLzyla9UaR847bTTmm5SazJp0qRvfetbat03Tj75ZM3fyEh9P5QE9C8fgYSv3tHeGFMpgPHhggsuCB9Q4DzlKU/57Gc/258/xPeHP/zhk5/8ZPhLsM4LXvCCK6+8Uo0ADIhvfvObEyZM0G48MvKzn/1MFQjcdtttm2++udbRyMi8efNUAZRHwr2q7353bIMN3LRGt9rq8UfNoMnatWMHHvjEO/K+96kcADKsWrVqhx12cPHNzJkzV69erYoeue+++z7+8Y+HUVdLkyZNOuyww2699VaNoqfe//73a7ZGRrg2xnjkg5Dw1TvaG2MqBTDO/OEPf3jJS16iA0HgKU95ynHHHXf77bf36ht+Nt0bb7zxyCOP3HrrrTVPgdmzZ/fkx3UAdMoNN9wQ5tw/+MEPqgKRM888M1w/PCwLbSLh3oZf/GJs0039FEd//GOVw1ikuN12fuWMffSjKgeAbA899NC+++7rQpxnP/vZK1euVEV3rVu37gMf+EDqT6e+/OUvv+iii1yza665JsxoN9lwww2P7+ZPZSTYZfPhhx/uZmbTTTddvny5KoDxw8ch4at33P7oqRTAeHX//fcvWrQoNflutt9++yOPPPLLX/7ylVdeuXbtWvXpnEceeeTSSy89/fTTDzvssKyv8R144IFf/epXH3vsMfUBMODssLP//vtrDx8ZmTZtWn9+w6bL1qxZEz5GxlYLny+ifSTc2/Pgg6PbbusnOjpnzhhPdzLf/vbYpElaLRtuOMZHEQCKWbdunc8Rb7HFFr/5zW9U0S12SfmP//iPbgZCL3/5y2+++WY1SvONb3xjt912U+vABhtsYNfSatRdd9111z777ONmo4efXgC9FEdoDa/ecfujp1IAiEKgSy+9dPbs2dtss82GG26ow0QjCyo22mijyZMnP/OZzzz00EM/9rGPff3rX7dg6dbYnXfe+fe//93O+G7wlltu+clPfvLNb37z/e9/v7XfaaedrO/EiRNTbykwNvLtt9/+ne9859VXX02SHRhiduVi+7v2/Oj3GOwQpLpxZnR09JRTTgmPiieccILqgPaQcG/b+vWjRxzxxHQ322zshhtUNS6Nzpr1xNqYPn2sP56rAGBQnHfeeQp2RkZOO+00lXbF73//+6222krTjr361a9++OGH1aIVu8p96Utfqp6Bo48+Wi266KqrrvKx47ve9a7e/gIt0Bs+IAlfveP2R0+lAJDGzuPnnnvusccem3zye6fMnDnz+OOP/5//+Z8//elPmiqA8WHdunUHHXSQjgXRd3NPPfVU1Y0bS5cu3XLLLbUKRkZ23333W265RXVA20i4d8iVV45ttJGf+ug//uPjTzAfbxYvbnjGzqc+pXIAKOz3v//91KlTXdBjUWDXHuP+wAMPbLHFFm66XrUbHD71qU+pf+D0009XdbcsWLDATdoC6HPOOUelwLgSxyQNr95xu6SnUgAo6eabb/7hD3942mmnHXPMMXPnzt1///1fFHne8563xx57PP/5z3eDr3nNa94X+dKXvvSzn/3stttuU38AiFx//fXPfOYzFZdEX3NZvHix6obaz3/+8/BGK7sMvOCCC1QHdAgJ98557LGx97ynYR5OPllVw270iitGN9vsiQV/9rPHbrxRdQBQ0ute9zrFPiMjv/vd71Ras//4j//QJGOTJk265557VF3G2rVr9957b40lNmvWLFV3xbp16570pCe5Se+888533XWXKoBxxUcm4at33C7pqRQAAKB3fvazn2222WaKTkZGNt54449//OOqGzpnnnlm011WX/nKV1QHdBQJ9067//7Rl770idmYNGns059W1VC67LKx4MdRR5/0pMdLAKANV1111eTJk10A9OIXv1ilNTvmmGPcFL0n2QGtknXr1r3iFa/QWGLveMc7VN0Vn/jEJzThkZGFCxeqFBhvfDwWvnpH+2RMpQAAAL3229/+9hnPeIZilMirX/3q5cuXq3rA3XnnnUcccYQWLLL11lt/4xvfUDVQAxLu9fjLXx5/fHk4P3PmjK1Zo9rhcO65o5Mn+wW0/0fPO09VANCeQw45xEVCG2ywwXldObZ885vfdFP0bNL/9V//peoyrrjiCo0i8L//+7+qrt8tt9xiEaSb7lZbbaVSYBzyYVj46h23V3oqBQAA6A933HHHAQccoEglsvHGG3/gAx949NFH1WKgPPbYY//5n//ZdEv77rvvbtdragHUhoR7nR54YPTlLw/nanSHHcYuvVS1A+qee8be+MaGhdp224FfKAB95oEHHth8881dSLTDDjtcd911qqjNmjVrXv3qV7sphg4//PCHHnpIjVpZu3bt+973PvUMHHPMMWpRv3BBNthgg9/+9reqAMahIFx54tU7bsf0VAoAANBnzjvvvKc+9akKWWJHHXXUH//4R7XoY/fcc88HP/hBfznpTJo06d///d/VAqgfCff6Pfjg2Cc+0TR7o69+9di116rBQFi7dvSEE0Y337xhKQ46iGe1A6jJT3/604kTJ7rw6PWvf30Xfj3VJvHa177WTbGJhWuve93rzjzzzN/85je33nqrOkT3gFjQec4557z1rW/1v/Xa5D/+4z/Uuis+97nPacIjI5+wsw8wngVByxOv3tGeGVMpAABAX1qzZs38+fP9d2e9LbfccuHChbfffrva9YF77rnnvPPO23333TWLsSc96UlHHnnkqlWr1A7oFhLuXfTnP4+Fj3ePXqMzZoz98Idq0Ieuvnrs8MOb5nlsp51Gx8dPVwPorQ9+8IMbbLCBC5Xe/OY3q7Rmt91221577eUm2o6NN974Pe95j0baLZ/97Gc1+ZGRF77whY899pgqgPGpKYBxr97RzhlTKQAAQH9bv379kiVL9t57bwUxgWnTpr31rW/97ne/q6Zd9Itf/OLoo49OvXbbeuutv/KVr9x///1qCnQdCfdeuOaasZe8ZHSDDRpmePLkx39t9aqrxtatU7OeWL9+7IYbRt/xjrHGm9nt9fijY849d9ieRA+gvx177LEKmkZGDj74YJV2xXXXXXfcccdZrOZvtM83YcKEjTfeeP/99//Od77z4IMPaixd9OlPf1qzMjLyrGc9y8JiVQDjVmMko1fvaP+MqRQAAGCgfOlLX3rBC15glz+KaRrZlcgxxxzzrW9963e/+91dd92lPm1YtWrVtddee8EFF3z0ox/dd999NZkEm+4nPvGJnlyIAUkk3HtqxYqxD31odKutmmfeXk9/+tiRR45150PCyy4b+7d/G3vBC5rnwb3e9KaxSy5RSwDouve85z2KoUZGDjnkkDW9+9jv0Ucfffjhh//2t7/98Y9/tJjvz3/+83333Wclqu6pU089VetoZOTZz342gSbwuKaQxr16R7toTKUAAACD6ZFHHrFrotNOO2233XZTfJNhwoQJm2666dSpU6dNm/asZz1r78hzn/vct7/97UcdddS+++7rSvbcc89ddtnlaU972uabb77hhhuqc4anPOUpH/7wh6+55hruZEcfIuHeNx56aPQTnxjbY4+xpjvfg9fjz5854YSxc84Z+81vRv/v/8ZWrrRej9+Tnm/16rG77x7905/GLr987DvfGfvUp8Ze+crRiRObRv7Ea6edRmfPHrBHzAMYavPmzVNUFcVVRFRNDjnkEK2dkZH999+/C8+7BwZDU4TjXr2jvTSmUgAAgCFyxRVXnHbaaUcdddTMmTO32GILxT1t2HTTTZ/znOe87W1v+8xnPvPLX/5y7dq1mhLQx0i496XHHhu7+eaxc84Z3W+/5uVq+crJpGe8Rp/61LGTT348w/7QQ5oBAOgz3/nOdxRwRSHXRRddpIrx7ZZbbtljjz20XkZGuv/UeKCvJWKex1+9ox01plIAAIBxYO3atQ8//PCDDz74wAMP/D1y9913X3rppT/72c/uuusuV3L//fdbA2v26KOPqhswmEi4D5Tf/W70618f/fd/HzvuuLFDDhl77nNHp04dffKTm5c9eI1uscXolls+fuP8a14z9q53jX7yk6PnnDP2q1+NPfKIxgkAA+Kmm27aYYcdlKkaGTn00ENVMV59/vOf17oYGZk8efK3vvUtVQBwEnHR46/e0e4aUykAAACA4ULCHQAwSN7//vcrWTUysskmm/TkB/F77m9/+9vTn/50rYWRkZkzZ46OjqoOgNcUHLpX72iPjakUAAAAwHAh4Q4AGDB/+9vfpk+frpTVyMj2229//fXXq24ceOUrX6klHxmZOHHi+PzIASikKTh0r97Rf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an overlap in the cleaning schedule of two tank reactors","description":"In a certain pharmaceutical production company, there are two tank reactors operating simultaneously and independent of each other. Each reactor operates by cycling through 4 phases:\r\n\r\n# Filling phase - The empty reactor is filled with raw materials.\r\n# Reacting phase - The filled reactor is heated to start the chemical reaction.\r\n# Emptying phase - The reaction ends and the tank is emptied of all contents.\r\n# Cleaning phase - The emptied reactor must be cleaned to prepare for the next batch.\r\n\r\nAt the end of each cycle, a fresh new batch of drugs are being produced. The two reactors produce different drugs, and so the length of time to finish each phase for the two reactors may be different.\r\n\r\nHowever, the company manager wishes to avoid a scenario when the two reactors are both in the cleaning phase at the same time. This is because it takes manpower to clean a tank, and there is not enough manpower to clean two tanks at a time. If we start the filling phase of both reactors at this moment and continue producing batches one after the other without fail, can you determine the earliest time when both tanks require cleaning? \r\n\r\nWrite a function that takes 4 values, R1, C1, R2, C2, which respectively denotes the amount of time in hours for reacting and cleaning in reactor 1 followed by the amount of time in hours for reacting and cleaning in reactor 2. Since both tanks are of the same size, the filling and emptying phase each takes 1 hour for both of them. You are ensured that all inputs are integers and 1 \u003c= R1, C1, R2, C2 \u003c= 10. Output the earliest hour when the reactors are both undergoing a cleaning phase. You are also ensured that a positive integer answer exists for each test case.\r\n\r\nThe first two sample test cases below are illustrated in this figure: \u003chttps://drive.google.com/open?id=1BWnAMQgaiz5OZQe466DiFQ8yTWlm8JRI\u003e\r\n\r\nSample test cases:\r\n\r\n \u003e\u003e two_reactors(3,2,2,1)\r\n ans =\r\n 20\r\n \u003e\u003e two_reactors(4,1,2,2)\r\n ans =\r\n 35\r\n\u003e\u003e two_reactors(1,2,2,2)\r\n ans =\r\n 5","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1028.2px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 514.1px; transform-origin: 407px 514.1px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIn a certain pharmaceutical production company, there are two tank reactors operating simultaneously and independent of each other. Each reactor operates by cycling through 4 phases:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003col style=\"block-size: 80px; font-family: Helvetica, Arial, sans-serif; list-style-type: decimal; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 40px; transform-origin: 391px 40px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFilling phase - The empty reactor is filled with raw materials.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eReacting phase - The filled reactor is heated to start the chemical reaction.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eEmptying phase - The reaction ends and the tank is emptied of all contents.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eCleaning phase - The emptied reactor must be cleaned to prepare for the next batch.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; 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=\"\"\u003eAt the end of each cycle, a fresh new batch of drugs are being produced. The two reactors produce different drugs, and so the length of time to finish each phase for the two reactors may be different.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; 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 41.6px; text-align: left; transform-origin: 384px 41.6px; 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=\"\"\u003eHowever, the company manager wishes to avoid a scenario when the two reactors are both in the cleaning phase at the same time. This is because it takes manpower to clean a tank, and there is not enough manpower to clean two tanks at a time. If we start the filling phase of both reactors at this moment and continue producing batches one after the other without fail, can you determine the earliest time when both tanks require cleaning?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 104px; 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 52px; text-align: left; transform-origin: 384px 52px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes 4 values, R1, C1, R2, C2, which respectively denotes the amount of time in hours for reacting and cleaning in reactor 1 followed by the amount of time in hours for reacting and cleaning in reactor 2. Since both tanks are of the same size, the filling and emptying phase each takes 1 hour for both of them. You are ensured that all inputs are integers and 1 \u0026lt;= R1, C1, R2, C2 \u0026lt;= 10. Output the earliest hour when the reactors are both undergoing a cleaning phase. You are also ensured that a positive integer answer exists for each test case.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eThe first two sample test cases below are illustrated in the following figure.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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: 311.6px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; 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data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eSample test cases:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 180px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 90px; transform-origin: 404px 90px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; two_reactors(3,2,2,1)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 20\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; two_reactors(4,1,2,2)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 35\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; two_reactors(1,2,2,2)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 5\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = two_reactors(R1,C1,R2,C2)\r\n y = R1;\r\nend","test_suite":"%%\r\nassert(isequal(two_reactors(5,1,6,5),24))\r\n%%\r\nassert(isequal(two_reactors(1,2,2,2),5))\r\n%%\r\nassert(isequal(two_reactors(7,7,7,1),10))\r\n%%\r\nassert(isequal(two_reactors(1,4,6,7),11))\r\n%%\r\nassert(isequal(two_reactors(5,9,8,10),11))\r\n%%\r\nassert(isequal(two_reactors(6,4,2,7),9))\r\n%%\r\nassert(isequal(two_reactors(8,5,1,3),11))\r\n%%\r\nassert(isequal(two_reactors(2,3,5,6),12))\r\n%%\r\nassert(isequal(two_reactors(5,9,6,10),9))\r\n%%\r\nassert(isequal(two_reactors(7,10,3,7),10))\r\n%%\r\nassert(isequal(two_reactors(3,7,7,1),10))\r\n%%\r\nassert(isequal(two_reactors(3,3,7,9),14))\r\n%%\r\nassert(isequal(two_reactors(4,8,7,1),10))\r\n%%\r\nassert(isequal(two_reactors(7,4,10,1),13))\r\n%%\r\nassert(isequal(two_reactors(5,5,5,8),8))\r\n%%\r\nassert(isequal(two_reactors(4,8,5,1),8))\r\n%%\r\nassert(isequal(two_reactors(2,8,5,2),8))\r\n%%\r\nassert(isequal(two_reactors(4,7,2,8),7))\r\n%%\r\nassert(isequal(two_reactors(3,10,3,8),6))\r\n%%\r\nassert(isequal(two_reactors(2,3,1,6),5))\r\n%%\r\nassert(isequal(two_reactors(7,6,5,7),10))\r\n%%\r\nassert(isequal(two_reactors(7,7,7,10),10))\r\n%%\r\nassert(isequal(two_reactors(3,8,3,2),6))\r\n%%\r\nassert(isequal(two_reactors(7,5,5,7),10))\r\n%%\r\nassert(isequal(two_reactors(8,4,7,5),11))\r\n%%\r\nassert(isequal(two_reactors(9,9,3,7),12))\r\n%%\r\nassert(isequal(two_reactors(6,6,9,3),12))\r\n%%\r\nassert(isequal(two_reactors(4,2,10,7),15))\r\n%%\r\nassert(isequal(two_reactors(10,1,9,1),156))\r\n%%\r\nassert(isequal(two_reactors(5,7,6,7),9))\r\n%%\r\nassert(isequal(two_reactors(6,8,6,10),9))\r\n%%\r\nassert(isequal(two_reactors(3,2,2,1),20))\r\n%%\r\nassert(isequal(two_reactors(5,5,4,8),8))\r\n%%\r\nassert(isequal(two_reactors(7,8,10,10),13))\r\n%%\r\nassert(isequal(two_reactors(2,2,7,1),30))\r\n%%\r\nassert(isequal(two_reactors(6,6,9,5),12))\r\n%%\r\nassert(isequal(two_reactors(4,7,8,6),11))\r\n%%\r\nassert(isequal(two_reactors(4,2,6,3),31))\r\n%%\r\nassert(isequal(two_reactors(1,8,3,5),6))\r\n%%\r\nassert(isequal(two_reactors(7,4,8,4),11))\r\n%%\r\nassert(isequal(two_reactors(7,8,5,1),16))\r\n%%\r\nassert(isequal(two_reactors(4,5,3,2),7))\r\n%%\r\nassert(isequal(two_reactors(9,5,9,4),12))\r\n%%\r\nassert(isequal(two_reactors(8,4,9,8),12))\r\n%%\r\nassert(isequal(two_reactors(4,3,8,10),16))\r\n%%\r\nassert(isequal(two_reactors(4,7,5,9),8))\r\n%%\r\nassert(isequal(two_reactors(8,2,9,10),12))\r\n%%\r\nassert(isequal(two_reactors(6,9,6,2),9))\r\n%%\r\nassert(isequal(two_reactors(2,5,8,9),14))\r\n%%\r\nassert(isequal(two_reactors(8,4,6,1),27))\r\n%%\r\nassert(isequal(two_reactors(2,2,7,5),11))\r\n%%\r\nassert(isequal(two_reactors(2,5,2,1),5))\r\n%%\r\nassert(isequal(two_reactors(9,6,10,7),13))\r\n%%\r\nassert(isequal(two_reactors(6,9,9,10),12))\r\n%%\r\nassert(isequal(two_reactors(1,9,7,10),10))\r\n%%\r\nassert(isequal(two_reactors(6,5,9,3),12))\r\n%%\r\nassert(isequal(two_reactors(5,10,6,9),9))\r\n%%\r\nassert(isequal(two_reactors(8,6,3,7),11))\r\n%%\r\nassert(isequal(two_reactors(1,7,7,8),10))\r\n%%\r\nassert(isequal(two_reactors(9,10,8,6),12))\r\n%%\r\nassert(isequal(two_reactors(10,6,1,2),14))\r\n%%\r\nassert(isequal(two_reactors(9,5,9,3),12))\r\n%%\r\nassert(isequal(two_reactors(6,7,1,7),9))\r\n%%\r\nassert(isequal(two_reactors(4,1,5,2),35))\r\n%%\r\nassert(isequal(two_reactors(2,3,2,2),5))\r\n%%\r\nassert(isequal(two_reactors(1,7,3,6),6))\r\n%%\r\nassert(isequal(two_reactors(7,5,6,5),10))\r\n%%\r\nassert(isequal(two_reactors(2,5,9,9),14))\r\n%%\r\nassert(isequal(two_reactors(3,3,6,7),14))\r\n%%\r\nassert(isequal(two_reactors(5,3,10,1),39))\r\n%%\r\nassert(isequal(two_reactors(2,2,2,7),5))\r\n%%\r\nassert(isequal(two_reactors(6,1,10,8),18))\r\n%%\r\nassert(isequal(two_reactors(8,1,9,10),33))\r\n%%\r\nassert(isequal(two_reactors(10,9,8,6),13))\r\n%%\r\nassert(isequal(two_reactors(2,4,2,1),5))\r\n%%\r\nassert(isequal(two_reactors(10,4,3,4),15))\r\n%%\r\nassert(isequal(two_reactors(5,7,1,9),8))\r\n%%\r\nassert(isequal(two_reactors(6,9,4,5),9))\r\n%%\r\nassert(isequal(two_reactors(1,2,7,4),10))\r\n%%\r\nassert(isequal(two_reactors(9,2,10,6),13))\r\n%%\r\nassert(isequal(two_reactors(8,10,3,5),16))\r\n%%\r\nassert(isequal(two_reactors(5,8,9,2),12))\r\n%%\r\nassert(isequal(two_reactors(2,4,1,6),5))\r\n%%\r\nassert(isequal(two_reactors(4,2,3,10),7))\r\n%%\r\nassert(isequal(two_reactors(7,5,10,2),13))\r\n%%\r\nassert(isequal(two_reactors(8,8,6,2),29))\r\n%%\r\nassert(isequal(two_reactors(6,3,2,3),20))\r\n%%\r\nassert(isequal(two_reactors(9,1,3,1),12))\r\n%%\r\nassert(isequal(two_reactors(5,1,9,2),64))\r\n%%\r\nassert(isequal(two_reactors(1,4,5,2),18))\r\n%%\r\nassert(isequal(two_reactors(10,4,3,1),30))\r\n%%\r\nassert(isequal(two_reactors(3,1,6,8),12))\r\n%%\r\nassert(isequal(two_reactors(7,1,1,8),10))\r\n%%\r\nassert(isequal(two_reactors(10,6,2,9),13))\r\n%%\r\nassert(isequal(two_reactors(4,3,8,1),44))\r\n%%\r\nassert(isequal(two_reactors(1,7,7,6),10))\r\n%%\r\nassert(isequal(two_reactors(8,8,8,3),11))\r\n%%\r\nassert(isequal(two_reactors(1,1,1,1),4))\r\n%%\r\nassert(isequal(two_reactors(7,6,4,1),14))\r\n%%\r\nassert(isequal(two_reactors(8,4,7,8),11))\r\n%%\r\nassert(isequal(two_reactors(2,2,6,5),11))\r\n%%\r\nassert(isequal(two_reactors(9,8,8,1),33))\r\n%%\r\nassert(isequal(two_reactors(1,1,8,10),12))\r\n%%\r\nassert(isequal(two_reactors(7,2,8,2),11))\r\n%%\r\nassert(isequal(two_reactors(2,7,4,7),7))\r\n%%\r\nassert(isequal(two_reactors(8,6,8,3),11))\r\n%%\r\nassert(isequal(two_reactors(8,10,9,1),12))\r\n%%\r\nassert(isequal(two_reactors(4,4,7,6),10))\r\n%%\r\nassert(isequal(two_reactors(8,4,3,1),12))\r\n%%\r\nassert(isequal(two_reactors(8,3,4,6),11))\r\n%%\r\nassert(isequal(two_reactors(3,7,5,2),8))\r\n%%\r\nassert(isequal(two_reactors(8,2,3,3),23))\r\n%%\r\nassert(isequal(two_reactors(6,1,5,2),9))\r\n%%\r\nassert(isequal(two_reactors(2,8,3,7),6))\r\n%%\r\nassert(isequal(two_reactors(10,5,7,8),13))\r\n%%\r\nassert(isequal(two_reactors(5,7,2,10),8))\r\n%%\r\nassert(isequal(two_reactors(2,3,8,5),12))\r\n%%\r\nassert(isequal(two_reactors(8,4,3,1),12))\r\n%%\r\nassert(isequal(two_reactors(7,5,5,7),10))\r\n%%\r\nassert(isequal(two_reactors(1,4,8,7),11))\r\n%%\r\nassert(isequal(two_reactors(2,2,1,1),12))\r\n%%\r\nassert(isequal(two_reactors(5,7,8,6),11))\r\n%%\r\nassert(isequal(two_reactors(2,7,2,2),5))\r\n%%\r\nassert(isequal(two_reactors(1,2,2,2),5))\r\n%%\r\nassert(isequal(two_reactors(4,4,3,3),7))\r\n%%\r\nassert(isequal(two_reactors(9,8,6,2),19))\r\n%%\r\nassert(isequal(two_reactors(3,1,10,8),18))\r\n%%\r\nassert(isequal(two_reactors(6,4,2,7),9))\r\n%%\r\nassert(isequal(two_reactors(10,2,3,4),27))\r\n%%\r\nassert(isequal(two_reactors(1,7,5,10),8))\r\n%%\r\nassert(isequal(two_reactors(5,7,2,4),8))\r\n%%\r\nassert(isequal(two_reactors(2,8,9,4),12))\r\n%%\r\nassert(isequal(two_reactors(7,3,6,9),10))\r\n%%\r\nassert(isequal(two_reactors(6,4,3,5),9))\r\n%%\r\nassert(isequal(two_reactors(5,4,6,8),9))\r\n%%\r\nassert(isequal(two_reactors(5,5,2,1),10))\r\n%%\r\nassert(isequal(two_reactors(3,4,7,10),15))\r\n%%\r\nassert(isequal(two_reactors(10,5,3,8),13))\r\n%%\r\nassert(isequal(two_reactors(8,8,8,2),11))\r\n%%\r\nassert(isequal(two_reactors(7,5,3,1),12))\r\n%%\r\nassert(isequal(two_reactors(9,2,2,7),38))\r\n%%\r\nassert(isequal(two_reactors(9,6,8,2),12))\r\n%%\r\nassert(isequal(two_reactors(10,6,7,1),50))\r\n%%\r\nassert(isequal(two_reactors(9,8,2,6),15))\r\n%%\r\nassert(isequal(two_reactors(4,6,4,5),7))\r\n%%\r\nassert(isequal(two_reactors(2,3,1,10),5))\r\n%%\r\nassert(isequal(two_reactors(7,10,2,10),10))\r\n%%\r\nassert(isequal(two_reactors(8,6,5,3),28))\r\n%%\r\nassert(isequal(two_reactors(8,3,1,8),11))\r\n%%\r\nassert(isequal(two_reactors(7,8,7,5),10))\r\n%%\r\nassert(isequal(two_reactors(4,9,4,9),7))\r\n%%\r\nassert(isequal(two_reactors(8,9,6,7),11))\r\n%%\r\nassert(isequal(two_reactors(10,5,1,9),16))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":55,"test_suite_updated_at":"2020-03-31T12:17:41.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-30T13:46:07.000Z","updated_at":"2026-03-31T14:28:25.000Z","published_at":"2020-03-30T14:06:30.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn a certain pharmaceutical production company, there are two tank reactors operating simultaneously and independent of each other. Each reactor operates by cycling through 4 phases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFilling phase - The empty reactor is filled with raw materials.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eReacting phase - The filled reactor is heated to start the chemical reaction.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEmptying phase - The reaction ends and the tank is emptied of all contents.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCleaning phase - The emptied reactor must be cleaned to prepare for the next batch.\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\u003eAt the end of each cycle, a fresh new batch of drugs are being produced. The two reactors produce different drugs, and so the length of time to finish each phase for the two reactors may be different.\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\u003eHowever, the company manager wishes to avoid a scenario when the two reactors are both in the cleaning phase at the same time. This is because it takes manpower to clean a tank, and there is not enough manpower to clean two tanks at a time. If we start the filling phase of both reactors at this moment and continue producing batches one after the other without fail, can you determine the earliest time when both tanks require cleaning?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes 4 values, R1, C1, R2, C2, which respectively denotes the amount of time in hours for reacting and cleaning in reactor 1 followed by the amount of time in hours for reacting and cleaning in reactor 2. Since both tanks are of the same size, the filling and emptying phase each takes 1 hour for both of them. You are ensured that all inputs are integers and 1 \u0026lt;= R1, C1, R2, C2 \u0026lt;= 10. Output the earliest hour when the reactors are both undergoing a cleaning phase. You are also ensured that a positive integer answer exists for each test case.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe first two sample test cases below are illustrated in the following figure.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"306\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"573\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSample test cases:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e two_reactors(3,2,2,1)\\nans =\\n 20\\n\u003e\u003e two_reactors(4,1,2,2)\\nans =\\n 35\\n\u003e\u003e two_reactors(1,2,2,2)\\nans =\\n 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a matrix map of increasing safety levels","description":"The sole nuclear power plant at Grid City suddenly had a meltdown. Luckily, the plant was designed to be in full automation, so no casualties were ever recorded. However, thanks to radiation, the whole city is inhabitable for close to a century.\r\n\r\nYou are then given a portion of the map of Grid City which, for the purpose of this problem, is rendered as an N x N matrix. As the name suggests, Grid City is made of a grid of cells. Your task is to assign a safety level to each cell in this matrix, according to the following rules:\r\n\r\n# Assign _Safety Level 1_ to the cell location of the nuclear power plant, given at row R and column C. This signifies that cell (R,C) is least safe.\r\n# Assign _Safety Level 2_ to the adjacent cells around the power plant, signifying a safer radiation level in this area.\r\n# Continue assigning an increasing number of _Safety Levels_ at succeeding layers of cells surrounding the power plant until you reach the edge of the map.\r\n\r\nWrite a function that accepts three inputs, N, R, and C, and outputs a matrix map of Grid City with _Safety Levels_. Note that you can use any method of populating the matrix as long as it gives the correct answer. You are also ensured that:\r\n\r\n* N, R, C are all integers\r\n* 1 \u003c= N \u003c= 10\r\n* 1 \u003c= R \u003c= N and 1 \u003c= C \u003c= N\r\n\r\nHere are a few examples:\r\n\r\n \u003e\u003e safety_map(5,5,4) % N = 5, R = 5, C = 4\r\n ans =\r\n\r\n 5 5 5 5 5\r\n 4 4 4 4 4\r\n 4 3 3 3 3\r\n 4 3 2 2 2\r\n 4 3 2 1 2\r\n\u003e\u003e safety_map(6,2,3) % N = 6, R = 2, C = 3\r\nans =\r\n\r\n 3 2 2 2 3 4\r\n 3 2 1 2 3 4\r\n 3 2 2 2 3 4\r\n 3 3 3 3 3 4\r\n 4 4 4 4 4 4\r\n 5 5 5 5 5 5\r\n","description_html":"\u003cp\u003eThe sole nuclear power plant at Grid City suddenly had a meltdown. Luckily, the plant was designed to be in full automation, so no casualties were ever recorded. However, thanks to radiation, the whole city is inhabitable for close to a century.\u003c/p\u003e\u003cp\u003eYou are then given a portion of the map of Grid City which, for the purpose of this problem, is rendered as an N x N matrix. As the name suggests, Grid City is made of a grid of cells. Your task is to assign a safety level to each cell in this matrix, according to the following rules:\u003c/p\u003e\u003col\u003e\u003cli\u003eAssign \u003ci\u003eSafety Level 1\u003c/i\u003e to the cell location of the nuclear power plant, given at row R and column C. This signifies that cell (R,C) is least safe.\u003c/li\u003e\u003cli\u003eAssign \u003ci\u003eSafety Level 2\u003c/i\u003e to the adjacent cells around the power plant, signifying a safer radiation level in this area.\u003c/li\u003e\u003cli\u003eContinue assigning an increasing number of \u003ci\u003eSafety Levels\u003c/i\u003e at succeeding layers of cells surrounding the power plant until you reach the edge of the map.\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eWrite a function that accepts three inputs, N, R, and C, and outputs a matrix map of Grid City with \u003ci\u003eSafety Levels\u003c/i\u003e. Note that you can use any method of populating the matrix as long as it gives the correct answer. You are also ensured that:\u003c/p\u003e\u003cul\u003e\u003cli\u003eN, R, C are all integers\u003c/li\u003e\u003cli\u003e1 \u0026lt;= N \u0026lt;= 10\u003c/li\u003e\u003cli\u003e1 \u0026lt;= R \u0026lt;= N and 1 \u0026lt;= C \u0026lt;= N\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eHere are a few examples:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; safety_map(5,5,4) % N = 5, R = 5, C = 4\r\nans =\r\n\u003c/pre\u003e\u003cpre\u003e 5 5 5 5 5\r\n 4 4 4 4 4\r\n 4 3 3 3 3\r\n 4 3 2 2 2\r\n 4 3 2 1 2\r\n\u0026gt;\u0026gt; safety_map(6,2,3) % N = 6, R = 2, C = 3\r\nans =\u003c/pre\u003e\u003cpre\u003e 3 2 2 2 3 4\r\n 3 2 1 2 3 4\r\n 3 2 2 2 3 4\r\n 3 3 3 3 3 4\r\n 4 4 4 4 4 4\r\n 5 5 5 5 5 5\u003c/pre\u003e","function_template":"function y = safety_map(N,R,C)\r\n y = N;\r\nend","test_suite":"%%\r\ny_correct = [3 2 2 2 3 4; 3 2 1 2 3 4; ...\r\n3 2 2 2 3 4; 3 3 3 3 3 4; 4 4 4 4 4 4; ...\r\n5 5 5 5 5 5];\r\nassert(isequal(safety_map(6,2,3),y_correct))\r\n%%\r\ny_correct = [2 2;2 1];\r\nassert(isequal(safety_map(2,2,2),y_correct))\r\n%%\r\ny_correct = [9 8 7 6 5 4 3 2 1 2; ...\r\n9 8 7 6 5 4 3 2 2 2; 9 8 7 6 5 4 3 3 3 3; ...\r\n9 8 7 6 5 4 4 4 4 4; 9 8 7 6 5 5 5 5 5 5; ...\r\n9 8 7 6 6 6 6 6 6 6; 9 8 7 7 7 7 7 7 7 7; ...\r\n9 8 8 8 8 8 8 8 8 8; 9 9 9 9 9 9 9 9 9 9; ...\r\n10 10 10 10 10 10 10 10 10 10];\r\nassert(isequal(safety_map(10,1,9),y_correct))\r\n%%\r\ny_correct = 1;\r\nassert(isequal(safety_map(1,1,1),y_correct))\r\n%%\r\ny_correct = [4 3 2 2; ...\r\n4 3 2 1; 4 3 2 2; 4 3 3 3];\r\nassert(isequal(safety_map(4,2,4),y_correct))\r\n%%\r\ny_correct = [2 1;2 2];\r\nassert(isequal(safety_map(2,1,2),y_correct))\r\n%%\r\ny_correct = [4 4 4 4 4 4 4; 4 3 3 3 3 3 4; ...\r\n4 3 2 2 2 3 4; 4 3 2 1 2 3 4; 4 3 2 2 2 3 4; ...\r\n4 3 3 3 3 3 4; 4 4 4 4 4 4 4];\r\nassert(isequal(safety_map(7,4,4),y_correct))\r\n%%\r\ny_correct = [10 10 10 10 10 10 10 10 10 10; ...\r\n10 9 9 9 9 9 9 9 9 9; 10 9 8 8 8 8 8 8 8 8; ...\r\n10 9 8 7 7 7 7 7 7 7; 10 9 8 7 6 6 6 6 6 6; ...\r\n10 9 8 7 6 5 5 5 5 5; 10 9 8 7 6 5 4 4 4 4; ...\r\n10 9 8 7 6 5 4 3 3 3; 10 9 8 7 6 5 4 3 2 2; ...\r\n10 9 8 7 6 5 4 3 2 1];\r\nassert(isequal(safety_map(10,10,10),y_correct))\r\n%%\r\ny_correct = [3 3 3; 2 2 3; 1 2 3];\r\nassert(isequal(safety_map(3,3,1),y_correct))\r\n%%\r\ny_correct = [2 1 2; 2 2 2; 3 3 3];\r\nassert(isequal(safety_map(3,1,2),y_correct))\r\n","published":true,"deleted":false,"likes_count":7,"comments_count":1,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":90,"test_suite_updated_at":"2020-03-27T15:28:42.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-03-27T15:22:51.000Z","updated_at":"2026-03-31T14:20:57.000Z","published_at":"2020-03-27T15:22:51.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe sole nuclear power plant at Grid City suddenly had a meltdown. Luckily, the plant was designed to be in full automation, so no casualties were ever recorded. However, thanks to radiation, the whole city is inhabitable for close to a century.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are then given a portion of the map of Grid City which, for the purpose of this problem, is rendered as an N x N matrix. As the name suggests, Grid City is made of a grid of cells. Your task is to assign a safety level to each cell in this matrix, according to the following 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=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAssign\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\u003eSafety Level 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to the cell location of the nuclear power plant, given at row R and column C. This signifies that cell (R,C) is least safe.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAssign\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\u003eSafety Level 2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to the adjacent cells around the power plant, signifying a safer radiation level in this area.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eContinue assigning an increasing number of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eSafety Levels\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e at succeeding layers of cells surrounding the power plant until you reach the edge of the map.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts three inputs, N, R, and C, and outputs a matrix map of Grid City with\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\u003eSafety Levels\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Note that you can use any method of populating the matrix as long as it gives the correct answer. You are also ensured that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eN, R, C are all integers\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1 \u0026lt;= N \u0026lt;= 10\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e1 \u0026lt;= R \u0026lt;= N and 1 \u0026lt;= C \u0026lt;= N\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eHere are a few examples:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e safety_map(5,5,4) % N = 5, R = 5, C = 4\\nans =\\n\\n 5 5 5 5 5\\n 4 4 4 4 4\\n 4 3 3 3 3\\n 4 3 2 2 2\\n 4 3 2 1 2\\n\u003e\u003e safety_map(6,2,3) % N = 6, R = 2, C = 3\\nans =\\n\\n 3 2 2 2 3 4\\n 3 2 1 2 3 4\\n 3 2 2 2 3 4\\n 3 3 3 3 3 4\\n 4 4 4 4 4 4\\n 5 5 5 5 5 5]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45500,"title":"Maximize the production in a plant within equipment capacity","description":"The goal of a certain manufacturing company is to maximize its production of goods per day. In the production flow, there is a single source of raw materials, denoted by _Point 1_, and a single point where all the finished goods are collected, denoted by _Point N_. Between them are _(N-2)_ other _Points_ where the materials are flowing. \r\n\r\nThe details of the production flow is given as a matrix *P* of size [ _K_ x 3]. Each row in *P* represents a piece of processing equipment between two _Points_. The _i_-th row in this matrix is read as follows: \"Goods are processed from _Point *P*(i, 1)_ to _Point *P*(i, 2)_ through an equipment with a maximum capacity of *P*( _i_, 3) goods per day.\" \r\n\r\nAlthough it is desired to produce as many goods as possible, we are limited by the capacity of each equipment in the production. Some equipment can process more goods than others. Given the maximum capacities of all the equipment, can you determine the maximum number of finished goods that can be produced per day? \r\n\r\nWrite a function that takes matrix *P* as input. Output the required maximum number of goods that can be produced for a day such that none of the equipment capacities from _Point 1_ to _Point N_ are exceeded. You are ensured that:\r\n\r\n* 3 \u003c= _N_ \u003c= 50 and 2 \u003c= _K_ \u003c= 200\r\n* For all _i_, *P*( _i_, 1) \u003c *P*( _i_, 2). \r\n* All _N Points_ are mentioned at least once in *P*. Hence, _N_ can be inferred from *P*.\r\n* All elements of *P* are integers, and 1 \u003c= *P*( _i_, 3) \u003c= 100.\r\n\r\nSee sample test case:\r\n\r\n \u003e\u003e P = [1 2 10;\r\n 1 3 6 ;\r\n 2 3 15;\r\n 2 4 5 ;\r\n 3 4 10;\r\n 3 5 3 ; \r\n 4 5 8];\r\n\u003e\u003e max_production(P)\r\nans = \r\n 11\r\n\r\nThis test case is illustrated in: \u003chttps://drive.google.com/open?id=13yoze4dLKlK__NAkialQmvjtjcs66aDr\u003e\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 980px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 490px; transform-origin: 407px 490px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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=\"\"\u003eThe goal of a certain manufacturing company is to maximize its production of goods per day. In the production flow, there is a single source of raw materials, denoted by\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint 1\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, and a single point where all the finished goods are collected, denoted by\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint N\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Between them are\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e(N-2)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e other\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoints\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e where the materials are flowing.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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=\"\"\u003eThe details of the production flow is given as a matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of size [\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eK\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e x 3]. Each row in\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e represents a piece of processing equipment between two\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoints\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. The\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e-th row in this matrix is read as follows: \"Goods are processed from\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e(i, 1)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e to\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e(i, 2)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e through an equipment with a maximum capacity 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, 3) goods per day.\"\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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=\"\"\u003eAlthough it is desired to produce as many goods as possible, we are limited by the capacity of each equipment in the production. Some equipment can process more goods than others. Given the maximum capacities of all the equipment, can you determine the maximum number of finished goods that can be produced per day?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 41.6px; 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 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes matrix\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e as input. Output the required maximum number of goods that can be produced for a day such that none of the equipment capacities from\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint 1\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e to\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePoint N\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are exceeded. You are ensured that:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 80px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 40px; transform-origin: 391px 40px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e3 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 50 and 2 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\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; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 200\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor all\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, 1) \u0026lt;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, 2).\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAll\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN Points\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are mentioned at least once in\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Hence,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e can be inferred from\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAll elements of\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are integers, and 1 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, 3) \u0026lt;= 100.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eSee sample test case:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 200px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 100px; transform-origin: 404px 100px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; P = [1 2 10;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 1 3 6 ;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 2 3 15;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 2 4 5 ;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 3 4 10;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 3 5 3 ; \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 4 5 8];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; max_production(P)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 11\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eThis test case is illustrated below:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 343.6px; 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 171.8px; text-align: left; transform-origin: 384px 171.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"600\" height=\"338\" style=\"vertical-align: baseline;width: 600px;height: 338px\" 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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = max_production(P)\r\n \r\nend","test_suite":"%%\r\nfiletext = fileread('max_production.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nP = [1 2 10; 1 3 6; 2 3 15; 2 4 5; 3 4 10; 3 5 3; 4 5 8];\r\nassert(isequal(max_production(P),11))\r\n%%\r\nP = [4 8 57; 2 6 92; 2 7 97; 6 8 39; 3 8 25; ...\r\n2 8 50; 6 8 18; 1 2 25; 1 3 94; 1 4 35; ...\r\n1 5 67; 5 8 29; 7 8 87; ];\r\nassert(isequal(max_production(P),114))\r\n%%\r\nP = [1 2 1; 2 3 5];\r\nassert(isequal(max_production(P),1))\r\n%%\r\nP = [7 8 85; 4 5 7; 6 7 49; 3 10 70; 6 9 13; ...\r\n5 8 77; 7 9 27; 8 9 57; 2 3 1; 9 10 59; ...\r\n8 9 55; 8 10 19; 9 10 92; 2 9 11; 6 9 67; ...\r\n1 2 88; 1 4 65; 1 6 71; ];\r\nassert(isequal(max_production(P),90))\r\n%%\r\nP = [3 7 83; 2 8 19; 5 6 58; 6 9 65; 5 6 12; ...\r\n4 5 88; 4 9 75; 9 10 54; 3 7 81; 4 9 57; ...\r\n5 10 72; 6 10 19; 6 10 13; 7 9 85; 9 10 95; ...\r\n1 2 37; 1 3 88; 1 4 71; 8 10 8; ];\r\nassert(isequal(max_production(P),164))\r\n%%\r\nP = [12 15 73; 13 17 45; 11 14 14; 4 5 99; 2 11 1; ...\r\n5 13 3; 2 15 57; 7 11 15; 12 16 44; 4 7 65; ...\r\n16 17 20; 4 9 53; 12 13 40; 14 15 48; 9 17 77; ...\r\n1 2 21; 1 3 14; 1 4 71; 1 6 61; 1 8 4; ...\r\n1 10 4; 1 12 2; 3 17 41; 6 17 42; 8 17 91; ...\r\n10 17 92; 15 17 33; ];\r\nassert(isequal(max_production(P),155))\r\n%%\r\nP = [17 38 41; 25 30 72; 11 26 54; 17 34 32; 36 37 21; ...\r\n3 30 18; 16 24 10; 35 38 19; 10 22 24; 34 36 99; ...\r\n22 34 82; 32 38 99; 24 32 54; 12 34 85; 24 38 84; ...\r\n12 17 40; 5 9 9; 6 23 79; 26 38 77; 19 24 14; ...\r\n29 32 98; 35 37 94; 22 25 20; 22 37 59; 24 36 28; ...\r\n11 36 41; 22 33 65; 19 31 66; 6 8 49; 3 10 1; ...\r\n14 15 53; 26 27 60; 19 22 7; 18 39 64; 14 20 8; ...\r\n31 34 47; 7 31 68; 34 37 15; 19 30 66; 25 29 62; ...\r\n16 37 46; 36 38 68; 37 39 31; 3 10 68; 36 38 34; ...\r\n22 31 77; 23 34 53; 18 37 33; 38 39 100; 16 18 47; ...\r\n27 36 1; 35 36 55; 19 32 52; 12 15 36; 13 25 56; ...\r\n1 2 69; 1 3 16; 1 4 55; 1 5 37; 1 6 27; ...\r\n1 7 80; 1 11 17; 1 12 5; 1 13 6; 1 14 34; ...\r\n1 16 33; 1 19 69; 1 21 36; 1 28 85; 1 35 67; ...\r\n2 39 42; 4 39 65; 8 39 75; 9 39 40; 15 39 32; ...\r\n20 39 25; 21 39 58; 28 39 79; 30 39 47; 33 39 85];\r\nassert(isequal(max_production(P),521))\r\n%%\r\nP = [6 7 31; 4 6 5; 2 4 99; 3 5 29; 6 7 60; ...\r\n5 6 31; 6 7 34; 6 7 100; 3 6 98; 3 7 89; ...\r\n3 7 16; 5 7 79; 5 6 97; 5 7 21; 2 4 7; ...\r\n2 4 47; 2 6 74; 5 7 64; 3 6 96; 6 7 25; ...\r\n3 4 42; 3 7 57; 4 6 47; 5 7 99; 3 4 78; ...\r\n3 7 7; 4 5 22; 2 4 13; 6 7 55; 6 7 43; ...\r\n5 6 37; 4 6 12; 2 7 75; 4 5 14; 5 6 16; ...\r\n6 7 61; 2 5 97; 3 6 78; 2 5 69; 3 4 17; ...\r\n3 7 15; 4 5 87; 4 6 72; 4 6 73; 4 5 8; ...\r\n6 7 49; 6 7 23; 3 5 99; 6 7 92; 5 7 15; ...\r\n5 6 21; 6 7 54; 3 4 38; 6 7 19; 4 5 70; ...\r\n4 5 30; 5 6 67; 5 7 71; 4 5 11; 4 6 34; ...\r\n5 7 39; 3 4 6; 3 5 77; 5 6 24; 4 7 76; ...\r\n3 7 59; 2 3 65; 6 7 21; 6 7 62; 2 6 64; ...\r\n3 4 86; 4 5 34; 2 7 1; 6 7 66; 6 7 39; ...\r\n5 7 65; 2 5 75; 3 7 7; 6 7 9; 5 7 51; ...\r\n2 5 77; 2 4 25; 3 7 31; 3 7 77; 4 6 10; ...\r\n6 7 47; 2 5 62; 3 6 3; 6 7 47; 3 7 17; ...\r\n3 6 37; 6 7 86; 4 6 99; 3 6 19; 4 7 25; ...\r\n1 2 68; ];\r\nassert(isequal(max_production(P),68))\r\n%%\r\nP = [7 8 54; 6 8 26; 5 12 88; 6 9 96; 3 6 92; ...\r\n9 11 22; 9 11 47; 5 6 28; 5 11 4; 12 13 83; ...\r\n1 2 2; 1 3 85; 1 4 97; 1 5 45; 1 7 21; ...\r\n1 10 33; 2 13 88; 4 13 33; 8 13 75; 10 13 88; ...\r\n11 13 46; ];\r\nassert(isequal(max_production(P),206))\r\n%%\r\nP = [7 21 22; 25 32 3; 26 40 47; 6 15 8; 9 10 89; ...\r\n22 30 83; 38 39 24; 30 37 87; 4 10 47; 25 31 77; ...\r\n24 25 38; 20 38 22; 26 36 27; 30 37 89; 15 23 70; ...\r\n26 31 22; 39 40 56; 4 17 45; 13 38 30; 4 12 25; ...\r\n10 35 40; 19 38 1; 2 12 40; 35 36 63; 5 15 15; ...\r\n29 34 28; 34 39 91; 26 31 4; 37 40 2; 26 38 15; ...\r\n38 40 94; 25 27 54; 21 29 40; 15 30 18; 24 40 42; ...\r\n17 26 51; 25 27 43; 27 28 53; 38 39 28; 33 40 39; ...\r\n4 12 35; 35 40 73; 36 40 52; 21 27 72; 25 38 23; ...\r\n12 38 87; 8 9 72; 29 33 85; 1 2 27; 1 3 90; ...\r\n1 4 82; 1 5 99; 1 6 59; 1 7 92; 1 8 1; ...\r\n1 11 13; 1 13 97; 1 14 52; 1 16 6; 1 18 83; ...\r\n1 19 74; 1 20 48; 1 22 54; 1 24 2; 3 40 5; ...\r\n11 40 51; 14 40 64; 16 40 88; 18 40 63; 23 40 67; ...\r\n28 40 78; 31 40 19; 32 40 40; ];\r\nassert(isequal(max_production(P),351))\r\n%%\r\nP = [11 12 99; 6 10 54; 13 14 84; 13 14 60; 2 13 56; ...\r\n7 8 6; 5 9 8; 2 5 99; 4 8 93; 12 13 30; ...\r\n9 10 12; 11 13 8; 6 12 44; 10 12 11; 3 11 59; ...\r\n3 10 79; 2 9 80; 5 6 48; 8 11 23; 4 5 55; ...\r\n12 14 2; 7 9 99; 9 14 75; 7 13 50; 6 7 42; ...\r\n7 13 25; 3 5 14; 11 13 46; 5 12 71; 9 13 10; ...\r\n2 13 26; 5 11 51; 3 8 47; 6 13 54; 13 14 67; ...\r\n8 10 84; 7 8 61; 6 8 8; 11 14 97; 10 13 44; ...\r\n5 6 24; 11 13 25; 6 12 46; 2 7 53; 6 10 50; ...\r\n6 13 57; 13 14 53; 12 13 46; 12 13 12; 5 14 87; ...\r\n10 14 84; 3 14 48; 2 6 98; 8 11 23; 13 14 67; ...\r\n13 14 9; 11 12 92; 7 9 97; 4 9 13; 8 14 36; ...\r\n2 7 20; 9 12 23; 3 12 43; 4 8 17; 3 10 51; ...\r\n3 10 58; 3 6 35; 6 7 75; 5 14 81; 10 11 62; ...\r\n3 13 39; 6 14 3; 13 14 26; 9 14 64; 5 13 57; ...\r\n13 14 22; 5 13 21; 8 9 98; 2 14 80; 1 2 39; ...\r\n1 3 95; 1 4 36; ];\r\nassert(isequal(max_production(P),170))\r\n%%\r\nP = [8 22 11; 22 25 95; 13 25 20; 31 38 80; 9 17 12; ...\r\n12 21 11; 22 28 50; 38 40 9; 7 23 94; 10 36 52; ...\r\n24 25 12; 32 38 30; 28 37 66; 22 23 93; 17 24 37; ...\r\n30 37 57; 22 34 70; 6 40 44; 27 28 81; 3 39 92; ...\r\n38 41 98; 34 36 66; 18 19 72; 31 32 51; 28 41 7; ...\r\n6 8 93; 9 31 84; 8 33 72; 14 18 24; 19 21 93; ...\r\n4 7 84; 10 36 68; 11 17 100; 35 41 21; 19 33 56; ...\r\n25 29 49; 20 28 98; 19 26 2; 39 40 13; 30 31 75; ...\r\n32 33 28; 26 29 41; 34 35 66; 16 32 14; 8 12 66; ...\r\n15 22 36; 27 34 61; 14 38 77; 35 40 62; 33 41 36; ...\r\n12 20 92; 23 35 36; 17 25 25; 5 40 13; 36 37 16; ...\r\n29 35 76; 27 39 37; 2 26 1; 28 41 83; 37 38 60; ...\r\n40 41 57; 16 39 83; 26 38 89; 23 38 53; 40 41 12; ...\r\n23 26 60; 25 35 86; 15 27 6; 25 33 5; 12 41 85; ...\r\n26 39 3; 12 22 2; 24 26 25; 22 31 52; 30 31 20; ...\r\n21 30 68; 29 37 5; 40 41 45; 12 18 52; 9 38 98; ...\r\n4 14 8; 37 38 100; 14 35 26; 35 40 94; 32 35 59; ...\r\n29 32 75; 36 40 67; 29 35 52; 28 29 22; 4 26 72; ...\r\n25 27 44; 10 39 80; 15 35 21; 28 37 23; 5 10 54; ...\r\n17 29 43; 39 40 71; 23 33 100; 39 41 90; 1 2 29; ...\r\n1 3 27; 1 4 46; 1 5 19; 1 6 46; 1 9 12; ...\r\n1 11 83; 1 13 99; 1 15 71; 1 16 84; ];\r\nassert(isequal(max_production(P),401))\r\n%%\r\nP = [5 8 43; 7 18 63; 15 18 77; 8 14 16; 2 11 29; ...\r\n16 18 42; 4 11 11; 10 12 35; 7 17 18; 4 13 23; ...\r\n13 18 12; 7 16 79; 8 16 32; 10 18 74; 5 8 80; ...\r\n3 14 14; 13 15 75; 17 18 32; 9 14 93; 11 12 49; ...\r\n6 11 50; 14 16 55; 13 16 18; 17 18 75; 13 17 60; ...\r\n11 12 32; 4 12 62; 16 17 95; 13 17 57; 11 16 11; ...\r\n7 9 43; 4 17 37; 9 13 73; 9 12 30; 13 17 45; ...\r\n4 5 24; 8 16 22; 15 16 75; 8 16 71; 6 9 20; ...\r\n15 18 3; 15 18 91; 4 8 97; 8 15 45; 11 15 100; ...\r\n6 17 29; 9 12 45; 4 18 73; 13 16 40; 15 18 88; ...\r\n1 2 55; 1 3 63; 1 4 50; 1 6 53; 1 7 31; ...\r\n1 10 85; 12 18 29; ];\r\nassert(isequal(max_production(P),262))\r\n%%\r\nP = [9 11 51; 7 10 43; 2 10 62; 8 9 98; 5 10 94; ...\r\n4 8 76; 10 11 33; 4 5 69; 10 11 1; 3 7 87; ...\r\n7 9 42; 3 4 2; 9 10 70; 8 11 96; 7 9 89; ...\r\n5 6 96; 7 9 20; 9 10 75; 6 11 2; 9 10 78; ...\r\n1 2 63; 1 3 10; ];\r\nassert(isequal(max_production(P),44))\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":2,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":18,"test_suite_updated_at":"2020-05-07T02:07:26.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-05-06T23:22:23.000Z","updated_at":"2025-12-05T00:10:28.000Z","published_at":"2020-05-07T02:07:26.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe goal of a certain manufacturing company is to maximize its production of goods per day. In the production flow, there is a single source of raw materials, denoted by\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\u003ePoint 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and a single point where all the finished goods are collected, denoted by\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\u003ePoint N\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Between them are\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e(N-2)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e other\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\u003ePoints\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e where the materials are flowing.\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 details of the production flow is given as a matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of size [\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 x 3]. Each row in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e represents a piece of processing equipment between two\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\u003ePoints\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-th row in this matrix is read as follows: \\\"Goods are processed from\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\u003ePoint\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e(i, 1)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ePoint\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e(i, 2)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e through an equipment with a maximum capacity of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 3) goods per day.\\\"\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\u003eAlthough it is desired to produce as many goods as possible, we are limited by the capacity of each equipment in the production. Some equipment can process more goods than others. Given the maximum capacities of all the equipment, can you determine the maximum number of finished goods that can be produced per day?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e as input. Output the required maximum number of goods that can be produced for a day such that none of the equipment capacities from\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\u003ePoint 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ePoint N\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are exceeded. You are ensured that:\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\u003e3 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 50 and 2 \u0026lt;=\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 \u0026lt;= 200\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\u003eFor all\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 1) \u0026lt;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 2).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAll\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN Points\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are mentioned at least once in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Hence,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e can be inferred from\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAll elements of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are integers, and 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 3) \u0026lt;= 100.\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\u003eSee sample test case:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e P = [1 2 10;\\n 1 3 6 ;\\n 2 3 15;\\n 2 4 5 ;\\n 3 4 10;\\n 3 5 3 ; \\n 4 5 8];\\n\u003e\u003e max_production(P)\\nans = \\n 11]]\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\u003eThis test case is illustrated below:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"338\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"600\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" 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corrosion on a metal plate: Count the number of pits","description":"You are given an N x M matrix of _ones_ and _zeros_, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The _ones_ denote areas where the plate has corroded visibly, whereas _zeros_ are areas where the metal is still in good condition. The *corroded areas* (the matrix elements with _ones_) can be found at multiple points on the metal plate. \r\n\r\nA collection of *corroded areas* that are next to each other is called a _pit_. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\r\n\r\nFor this problem, a _pit_ is defined more clearly as follows: Two *corroded areas* at [row _R1_, column _C1_] and [row _R2_, column _C2_] belong to the _same pit_ if and only if |max(abs(R1-R2),abs(C1-C2)) \u003c= 1|. In other words, if two *corroded areas* are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\r\n\r\nWrite a function that accepts a matrix X denoting the image in question. Output the number of distinct separate pits found in this image. You are ensured that the size of the matrix is constrained at 1 \u003c= N \u003c= 20 and 1 \u003c= M \u003c= 20.\r\n\r\nAs an example, consider the following 10 x 10 image (left). The *corroded areas* that belong to the same pit are then labeled, showing that there are 5 distinct separate pits (right).\r\n\r\n Sample test case:\r\n X = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\r\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\r\n There are 5 pits in this image.\r\n\r\n\r\n","description_html":"\u003cp\u003eYou are given an N x M matrix of \u003ci\u003eones\u003c/i\u003e and \u003ci\u003ezeros\u003c/i\u003e, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The \u003ci\u003eones\u003c/i\u003e denote areas where the plate has corroded visibly, whereas \u003ci\u003ezeros\u003c/i\u003e are areas where the metal is still in good condition. The \u003cb\u003ecorroded areas\u003c/b\u003e (the matrix elements with \u003ci\u003eones\u003c/i\u003e) can be found at multiple points on the metal plate.\u003c/p\u003e\u003cp\u003eA collection of \u003cb\u003ecorroded areas\u003c/b\u003e that are next to each other is called a \u003ci\u003epit\u003c/i\u003e. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\u003c/p\u003e\u003cp\u003eFor this problem, a \u003ci\u003epit\u003c/i\u003e is defined more clearly as follows: Two \u003cb\u003ecorroded areas\u003c/b\u003e at [row \u003ci\u003eR1\u003c/i\u003e, column \u003ci\u003eC1\u003c/i\u003e] and [row \u003ci\u003eR2\u003c/i\u003e, column \u003ci\u003eC2\u003c/i\u003e] belong to the \u003ci\u003esame pit\u003c/i\u003e if and only if \u003ctt\u003emax(abs(R1-R2),abs(C1-C2)) \u0026lt;= 1\u003c/tt\u003e. In other words, if two \u003cb\u003ecorroded areas\u003c/b\u003e are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\u003c/p\u003e\u003cp\u003eWrite a function that accepts a matrix X denoting the image in question. Output the number of distinct separate pits found in this image. You are ensured that the size of the matrix is constrained at 1 \u0026lt;= N \u0026lt;= 20 and 1 \u0026lt;= M \u0026lt;= 20.\u003c/p\u003e\u003cp\u003eAs an example, consider the following 10 x 10 image (left). The \u003cb\u003ecorroded areas\u003c/b\u003e that belong to the same pit are then labeled, showing that there are 5 distinct separate pits (right).\u003c/p\u003e\u003cpre\u003e Sample test case:\r\n X = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\r\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\r\n There are 5 pits in this image.\u003c/pre\u003e","function_template":"function y = count_pits(X)\r\n y = X;\r\nend","test_suite":"%%\r\nfiletext = fileread('count_pits.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\n%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(count_pits(x),y_correct))\r\n%%\r\nx = 0;\r\ny_correct = 0;\r\nassert(isequal(count_pits(x),y_correct))\r\n%%\r\nx = [1 0 1 0 1];\r\ny_correct = 3;\r\nassert(isequal(count_pits(x),y_correct))\r\n%%\r\nx = [0 0 1 0 0 0 0 0 0 0\r\n 0 1 1 0 0 0 0 0 0 0\r\n 0 0 1 1 0 0 0 1 1 0\r\n 0 0 0 1 0 0 0 1 1 0\r\n 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 1 0 0\r\n 0 0 0 1 0 0 0 1 1 0\r\n 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 1 1 0 0 0 0];\r\nassert(isequal(count_pits(x),5))\r\n%%\r\nx = [ 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0\r\n0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 0 0 0 0\r\n0 1 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0\r\n0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1\r\n0 1 1 0 0 1 0 1 0 0 0 0 0 0 1 1 0 0 0 0\r\n0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1\r\n0 0 0 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0\r\n0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0\r\n1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0\r\n0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0\r\n0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0\r\n0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0\r\n0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 1\r\n0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0\r\n1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0\r\n1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0\r\n0 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 1 1 0 0\r\n0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 1 0 0\r\n0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0];\r\nassert(isequal(count_pits(x),26))\r\n%%\r\nx = [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0\r\n 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0\r\n 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 1 1 1 0 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 1 1 1 1 0 0 1 0\r\n 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1\r\n 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0\r\n 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0];\r\nassert(isequal(count_pits(x),25))\r\n%%\r\nx = [1 0 1 0 1 0 0 1\r\n 0 0 0 0 0 0 0 0\r\n 0 0 0 1 0 0 1 0\r\n 0 0 0 1 1 1 0 1\r\n 0 0 0 0 1 0 0 0];\r\nassert(isequal(count_pits(x),5))\r\n%%\r\nx = eye(20);\r\nassert(isequal(count_pits(x),1))\r\n%%\r\nx = [1 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 0 0 0 0\r\n 1 1 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0\r\n 0 0 1 0 0 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 1 0 0 0 0 1\r\n 0 0 0 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0];\r\nassert(isequal(count_pits(x),9))\r\n%%\r\nx = [0 0 0 1 0 0 0 0 0 1 0 1 1 0 0\r\n 0 0 0 1 0 0 0 0 0 1 1 1 0 0 1\r\n 0 1 0 0 0 1 0 0 1 0 1 0 0 0 0\r\n 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0\r\n 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1\r\n 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1\r\n 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0\r\n 0 1 0 0 0 1 1 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1\r\n 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1];\r\nassert(isequal(count_pits(x),19))\r\n%%\r\nx = [0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 1 1\r\n 0 1 0 0 1 0 0 0 0 1 0 1 0 0 1 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 1\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 1 0 1 1\r\n 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0\r\n 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 1 1 0 0 0\r\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 1\r\n 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0\r\n 0 1 1 0 1 0 0 1 0 1 0 1 0 1 0 0 0 0 0 1\r\n 1 0 0 1 0 0 0 0 0 0 1 1 0 1 1 0 0 0 0 0\r\n 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1\r\n 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0];\r\nassert(isequal(count_pits(x),21))\r\n%%\r\nx = repmat([0 1;1 0],5,7);\r\nassert(isequal(count_pits(x),1))\r\n%%\r\nx = repmat([0 1;0 0],5,7);\r\nassert(isequal(count_pits(x),35))\r\n%%\r\nx = [0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 1 0 1 0 1 1 0 0 1 0 1 1 0\r\n 0 0 0 1 0 1 0 1 0 0 1 1 0 1 0 1 1\r\n 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 1\r\n 1 0 0 1 0 0 0 1 1 1 0 1 0 0 0 0 0\r\n 1 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0\r\n 0 0 0 0 0 1 1 0 1 1 1 0 0 0 1 1 0\r\n 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0\r\n 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 1 1\r\n 1 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 1\r\n 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0\r\n 1 0 0 1 1 0 0 0 1 0 0 1 0 0 1 0 0\r\n 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0\r\n 0 0 0 0 0 1 1 1 0 0 0 1 0 0 1 1 0\r\n 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0\r\n 0 0 1 1 0 0 0 0 1 0 0 1 0 0 0 0 0\r\n 0 1 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0\r\n 0 1 0 0 0 1 0 0 0 1 1 0 1 0 0 1 0];\r\nassert(isequal(count_pits(x),15))\r\n%%\r\nx = [0 0 1 1 1 0 1 0 0 1 0 0 0 0 0 0\r\n 0 0 1 0 1 0 1 1 0 0 0 0 0 0 1 0\r\n 0 1 0 1 1 1 1 0 1 0 0 0 1 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1\r\n 0 1 0 1 0 0 1 0 0 1 0 0 0 0 0 0\r\n 0 1 0 1 1 1 0 0 1 1 0 0 0 0 1 0\r\n 0 0 0 0 0 0 1 1 1 1 0 0 0 0 1 1\r\n 0 1 0 1 0 0 1 0 0 1 0 1 1 1 0 0\r\n 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 1\r\n 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0];\r\nassert(isequal(count_pits(x),13))\r\n%%\r\nx = zeros(5);\r\nassert(isequal(count_pits(x),0))\r\n%%\r\nx = [ 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1\r\n 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1\r\n 1 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0\r\n 1 0 0 1 0 0 0 0 1 1 0 0 0 1 0 1 0 0 0 0\r\n 1 1 0 1 0 0 1 0 0 0 1 1 0 0 0 1 1 1 0 1\r\n 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1\r\n 0 0 0 0 1 1 1 0 0 0 0 1 0 0 0 0 1 0 1 1\r\n 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1 1 0 0 0 1\r\n 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0 1 0 0 1 0\r\n 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 1 1\r\n 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 1 0\r\n 1 0 0 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 0 1\r\n 1 1 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0\r\n 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 0 1 0 0 1\r\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 1\r\n 0 1 0 1 0 1 1 0 0 0 1 1 0 0 0 0 1 0 0 0\r\n 1 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1 1 0 1 0\r\n 0 0 1 0 1 0 0 0 0 1 0 0 0 1 1 1 0 0 0 0\r\n 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0\r\n 1 0 0 1 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0];\r\nassert(isequal(count_pits(x),24))\r\n%%\r\nx = [0 1 0 1 1 1 0 0 0 1 0 0 1 0 0 1 1 0 0 1\r\n 0 0 0 1 1 1 0 1 1 1 0 0 0 0 1 1 1 0 0 0\r\n 0 1 0 1 1 0 0 1 1 1 0 1 1 0 1 1 1 0 0 0\r\n 1 1 1 0 1 1 1 0 1 1 0 0 1 0 1 1 0 1 1 0\r\n 1 0 0 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 0\r\n 1 0 1 1 1 0 0 0 0 1 1 1 1 1 1 0 0 1 0 1\r\n 1 1 0 1 1 1 0 1 0 1 1 0 0 0 0 1 1 0 1 0\r\n 0 1 0 1 1 0 1 0 0 0 1 0 0 0 1 0 1 0 0 1\r\n 1 0 1 1 1 0 0 0 1 1 0 1 0 1 1 1 1 1 0 0\r\n 0 0 0 1 1 0 0 0 1 0 1 1 1 1 0 0 0 0 1 0\r\n 0 0 1 1 0 1 1 1 1 0 1 0 0 0 0 0 1 1 1 1\r\n 1 0 1 1 1 1 1 1 1 1 1 0 1 1 0 0 1 1 0 1\r\n 1 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 1 1\r\n 0 1 1 1 1 1 0 0 1 1 1 1 1 1 0 1 0 0 1 0\r\n 1 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 1 1 0 0\r\n 1 0 0 1 0 1 1 1 1 1 0 1 0 0 0 0 0 0 1 1\r\n 0 0 0 0 1 1 1 0 1 0 0 0 1 0 0 1 0 1 1 0\r\n 0 1 1 1 1 0 1 1 1 0 1 0 0 1 0 1 1 0 1 1\r\n 0 0 0 0 1 1 0 0 0 1 1 0 1 0 1 1 1 0 1 1\r\n 1 1 1 0 0 0 1 0 0 0 0 1 0 0 1 0 1 1 1 0];\r\nassert(isequal(count_pits(x),5))\r\n%%\r\nx = [ 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0\r\n 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0\r\n 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 1 0 0\r\n 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0\r\n 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0\r\n 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\r\n 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 1 0 0 0 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0\r\n 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0\r\n 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0\r\n 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\r\n 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0\r\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];\r\nassert(isequal(count_pits(x),30))","published":true,"deleted":false,"likes_count":5,"comments_count":1,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":25,"test_suite_updated_at":"2020-04-09T23:46:12.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-09T15:04:42.000Z","updated_at":"2025-11-23T15:32:51.000Z","published_at":"2020-04-09T19:48:23.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are given an N x M matrix of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ezeros\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, which represents an image of a rectangular metal plate taken from the hull of a ship. Each element of the matrix denotes an area of the plate: The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e denote areas where the plate has corroded visibly, whereas\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\u003ezeros\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are areas where the metal is still in good condition. The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (the matrix elements with\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\u003eones\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) can be found at multiple points on the metal plate.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA collection of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that are next to each other is called a\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\u003epit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Pits can come at different sizes, depending on how much they grew over the years. Pitting corrosion is important to quantify because it gives an idea of the reliability of the ship structure.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, a\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\u003epit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is defined more clearly as follows: Two\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e at [row\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\u003eR1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, column\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\u003eC1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e] and [row\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\u003eR2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, column\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\u003eC2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e] belong to the\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003esame pit\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e if and only if\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emax(abs(R1-R2),abs(C1-C2)) \u0026lt;= 1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. In other words, if two\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are adjacent horizontally, vertically, or diagonally, then both are considered to belong to the same pit.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that accepts a matrix X denoting the image in question. Output the number of distinct separate pits found in this image. You are ensured that the size of the matrix is constrained at 1 \u0026lt;= N \u0026lt;= 20 and 1 \u0026lt;= M \u0026lt;= 20.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAs an example, consider the following 10 x 10 image (left). The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecorroded areas\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that belong to the same pit are then labeled, showing that there are 5 distinct separate pits (right).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[ Sample test case:\\n X = [0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0\\n 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0\\n 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 4 4 0\\n 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 4 4 0\\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\\n 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\\n 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 5 0 0\\n 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 5 5 0\\n 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0\\n 0 0 0 0 1 1 0 0 0 0]; 0 0 0 0 3 3 0 0 0 0\\n There are 5 pits in this image.]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45509,"title":"List the households affected by leaks in water distribution ","description":"Consider the following water distribution network, where water is pumped uni-directionally from left to right:\r\n\r\n 8\r\n /\r\n 2 ---- 9 13 24 ---- 25\r\n / \\ / / \r\n / 7 12 ---- 23\r\n / 6 / \\ 22\r\n0 ---- 1 / / 14 /\r\n \\ 4 ---- 11 /\r\n \\ / \\ 17 ---- 19 ---- 21\r\n 3 \\ / \\ \\\r\n \\ 10 ---- 15 18 \\\r\n 5 \\ 20\r\n 16\r\n\r\nThe network consists of: (1) a single source station; (2) pumping stations; and, (3) households / end-users. The source station is Node 0. _Pumping stations_ are nodes that lead water to more nodes downstream. In the example, the pumping stations are Nodes 1, 2, 3, 4, 10, 11, 12, 15, 17, 19, 23, 24. Meanwhile, _households_ are nodes that do not lead to any more nodes downstream. In the example, the households are Nodes 5, 6, 7, 8, 9, 13, 14, 16, 18, 20, 21, 22, 25.\r\n\r\n\r\nIf there is a leak at any node, then all the nodes downstream from that node will be affected, including itself. For instance, if Node 17 has leaked, then Nodes 17-22 are all affected. Among these, Nodes 18, 20-21 are households. Given *P*, can you list all the households that are affected by a leak in Node *P*?\r\n\r\nWrite a function that accepts a vector *X*, which is a row vector of length *N*, and a scalar *P*. The *X* represents the water distribution network, read as follows: Node *X*( _i_ ) is a _direct_ downstream water distributor to Node _i_, for 1 \u003c= _i_ \u003c= *N*. Given *X* and *P*, output a row vector listing all affected households, _sorted in increasing order_.\r\n\r\nFor instance, the above example will be represented as:\r\n\r\n i = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25\r\n X = [0 1 1 3 3 4 2 2 2 4 4 11 12 12 10 15 15 17 17 19 19 19 12 23 24]\r\n\r\nPlease take the time to verify the elements of *X*. Using this *X*, sample test cases are given below:\r\n\r\n \u003e\u003e water_loss(X,2)\r\n ans = \r\n 7 8 9\r\n\u003e\u003e water_loss(X,10)\r\nans =\r\n 16 18 20 21 22\r\n\u003e\u003e water_loss(X,23)\r\nans =\r\n 25\r\n\u003e\u003e water_loss(X,13)\r\nans =\r\n 13\r\n\r\nYou are ensured that:\r\n\r\n* 2 \u003c= *N* \u003c= 400 and 1 \u003c= *P* \u003c= *N*\r\n* *X*( _i_ ) \u003c _i_, for _i_ = [1, *N*]\r\n* *X*( _i_ ) \u003e 0, for _i_ = [2, *N*]","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 988.2px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 494.1px; transform-origin: 407px 494.1px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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=\"\"\u003eConsider the following water distribution network, where water is pumped uni-directionally from left to right:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 260px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 130px; transform-origin: 404px 130px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 8\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e /\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 2 ---- 9 13 24 ---- 25\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e / \\ / / \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e / 7 12 ---- 23\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e / 6 / \\ 22\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e0 ---- 1 / / 14 /\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \\ 4 ---- 11 /\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \\ / \\ 17 ---- 19 ---- 21\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 3 \\ / \\ \\\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \\ 10 ---- 15 18 \\\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 5 \\ 20\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 16\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 83.2px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 41.6px; text-align: left; transform-origin: 384px 41.6px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eThe network consists of: (1) a single source station; (2) pumping stations; and, (3) households / end-users. The source station is Node 0.\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ePumping stations\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are nodes that lead water to more nodes downstream. In the example, the pumping stations are Nodes 1, 2, 3, 4, 10, 11, 12, 15, 17, 19, 23, 24. Meanwhile,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ehouseholds\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e are nodes that do not lead to any more nodes downstream. In the example, the households are Nodes 5, 6, 7, 8, 9, 13, 14, 16, 18, 20, 21, 22, 25.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; 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 there is a leak at any node, then all the nodes downstream from that node will be affected, including itself. For instance, if Node 17 has leaked, then Nodes 17-22 are all affected. Among these, Nodes 18, 20-22 are households. Given\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, can you list all the households that are affected by a leak in Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 62.4px; 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 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that accepts a vector\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, which is a row vector of length\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, and a scalar\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. The\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e represents the water distribution network, read as follows: Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ) is a\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003edirect\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e downstream water distributor to Node\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, for 1 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Given\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, output a row vector listing all affected households,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003esorted in increasing order\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; 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: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; 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 instance, the above example will be represented as:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 40px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 20px; transform-origin: 404px 20px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ei = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eX = [0 1 1 3 3 4 2 2 2 4 4 11 12 12 10 15 15 17 17 19 19 19 12 23 24]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003ePlease take the time to verify 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; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Using this\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, sample test cases are given below:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 240px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 120px; transform-origin: 404px 120px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; water_loss(X,2)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 7 8 9\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; water_loss(X,10)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 16 18 20 21 22\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; water_loss(X,23)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 25\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u0026gt;\u0026gt; water_loss(X,13)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 13\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eYou are ensured that:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 60px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 30px; transform-origin: 391px 30px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e2 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;= 400 and 1 \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eP\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026lt;=\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ) \u0026lt;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, for\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e = [1,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e]\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eX\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e(\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e ) \u0026gt; 0, for\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ei\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e = [2,\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e]\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = water_loss(X,P)\r\n y = P;\r\nend","test_suite":"%%\r\nfiletext = fileread('water_loss.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nX = [0 1 1 2 4 2 4];\r\nP = 2;\r\ny = [5 6 7 ];\r\nassert(isequal(water_loss(X,P),y))\r\n%%\r\nX = [0 1 2 3 4 5 4 1];\r\nP = 2;\r\ny = [6 7 ];\r\nassert(isequal(water_loss(X,P),y))\r\n%%\r\nX = [0 1 1 3 3 4 2 2 2 4 4 11 12 12 10 15 15 17 17 19 19 19 12 23 24];\r\nassert(isequal(water_loss(X,23),25))\r\nassert(isequal(water_loss(X,13),13))\r\nassert(isequal(water_loss(X,2),[7 8 9]))\r\nassert(isequal(water_loss(X,10),[16 18 20 21 22]))\r\n%%\r\nX = [0 1 2 1 2 4 5 1 8 7 5 5 6 4 8 ...\r\n 8 14 14 12 8 17 12 8 22 22 14 17 16 6 9 ...\r\n 15 8 28 7 8 6 9 17];\r\nassert(isequal(water_loss(X,36),36))\r\nP = 17;\r\ny = [21 27 38];\r\nassert(isequal(water_loss(X,P),y))\r\n%%\r\nX = [0 1 1 2 2 1 4 2 4 6 3 4 8 4 12 ...\r\n 15 12 6 11 3 19 19 18 6 15 1 12 9 5 6 ...\r\n 13 3 20 16 24 25 23 2 3 13 22 27 18 36 32 ...\r\n 44 25 16 6 30 39 22 5 15 9 16 25 31 27 52 ...\r\n 32 58 40 61 16];\r\nP = 19;\r\ny = [21 41 60 ];\r\nassert(isequal(water_loss(X,P),y))\r\nP = 15;\r\ny = [34 46 47 48 54 56 57 65 ];\r\nassert(isequal(water_loss(X,P),y))\r\n%%\r\nX = [0 1 1 2 1 3 3 2 2 9 7 6 11 2 11 ...\r\n 12 9 4 11 6 3 5 20 2 6 2 12 1 26 6 ...\r\n 3 10 15 4 34 12 11 3 12 2 21 32 27 4 4 ...\r\n 35 42 26 6 41 17 15 39 1 3 37 34 30 43 42 ...\r\n 47 18 43 36 26 5 52 23 42 52 8 10 40 36 66 ...\r\n 60 56 4 6 7 64 77 57 11 61 10 11 56 29 59 ...\r\n 68 54 69 22 70 93 84 9 36 37 69 61 81 38 22 ...\r\n 10 82 23 42 61 26 72 55 18 90 12 35 28 63 11 ...\r\n 49 13 14 97 37 76 122 55 89 98 57 86 15 125 26 ...\r\n 36 109 67 107 56 39 6 96 62 66 89 9 47 115 104 ...\r\n 19 20 15 2 66 102 113 84 18 101 21 22 16 24];\r\ny = [95 138 ];\r\nassert(isequal(water_loss(X,52),y))\r\ny = [74 99 103 136 ];\r\nassert(isequal(water_loss(X,36),y))\r\ny = [85 110 126 137 143 148 156 160 ];\r\nassert(isequal(water_loss(X,42),y))\r\n%%\r\nX = [0 1 1 3 2 3 5 7 3 8 8 11 1 5 10 5 4 13 12 12 14 1 8 11 6 ...\r\n 18 23 8 21 4 26 5 19 13 28 18 18 33 14 18 39 2 41 9 30 27 32 17 30 40 ...\r\n 1 5 51 35 13 23 7 16 15 20 10 22 8 56 7 61 27 4 24 51 56 39 50 66 5 ...\r\n 23 4 16 57 58 71 48 6 77 68 25 47 86 63 75 39 43 52 26 71 48 63 30 14 48 ...\r\n 37 80 80 69 14 3 60 33 102 107 32 89 101 68 101 109 64 86 69 4 54 79 64 46 117 ...\r\n 104 107 48 76 113 122 88 28];\r\ny = [115 130 ];\r\nassert(isequal(water_loss(X,101),y))\r\ny = [81 95 123 125 ];\r\nassert(isequal(water_loss(X,56),y))\r\n%%\r\nX = [0 1 2 2 2 2 5 7 8 6 6 2 11 6 3 14 13 16 6 13 14 3 9 7 18 ...\r\n 8 24 23 11 15 21 26 20 19 12 16 26 33 28 1 27 18 19 6 36 15 12 17 19 27 ...\r\n 29 21 21 28 36 53 41 23 49 8 4 6 11 21 20 1 36 7 10 44 61 70 42 73 41 ...\r\n 39 26 34 39 6 72 6 36 69 34 53 71 78 82 17 24 82 55 47 58 78 52 20 45 43 ...\r\n 97 63 71 75 37 55 60 17 61 76 47 93 82 41 52 45 90 86 51 83 114 95 87 14 49 ...\r\n 74 58 7 30 108 3 114 11 89 68 30 78 17 93 84 8 8 22 3 63 121 91 77 128 15 ...\r\n 137 17 79 22 87 1 120 134 145 157 81 44 17 83 97 126 14 111 87 29 160 101 76 163 115 ...\r\n 80 148 95 99 122 67 44 106 159 75 21 83 57 76 158 77 75 70 28 51 17 85 51 59 85 ...\r\n 24 100 143 50 161 16 82 1 46 1 40 31 57 38 30 129 195 204 49 106 83 116 59 16 98 ...\r\n 40 6 217 99 221 176 2 158 165 151 130 52 184 55 89 214 207 98 78 149 223 224 147 83 213 ...\r\n 111 227 9 135 182 46 87 49 84 105 143 13 145 73 64 65 42 256 251 221 197 48 99 52 1 ...\r\n 88 194 174 151 123 81 141 215 216 164 214 185 36 146 101 27 44 58 197 127 205 77 3 159 84 ...\r\n 284 273 119 8 205 256 298 18 139 180 213 224 203 228 118 184 37 19 312 91 191 309 60 63 111 ...\r\n 304 128 90 50 131 124 44 145 31 206 4 193 267 80 152 194 21 170 221 77 289 336 294 177 98 ...\r\n 262 84 337 219 213 62 33 92 308 328 252 262 84 210 296 148 362 34 119 189 23 270 208 198 311 ...\r\n 323 297 120 171 286 42 42 104 201 374 274 121 113 330 355 250 100 35 330 231 375 25 233 114 331];\r\ny = [321 345 349 366 377 ];\r\nassert(isequal(water_loss(X,77),y))\r\ny = [140 259 300 352 363 ];\r\nassert(isequal(water_loss(X,84),y))\r\ny = [32 54 107 110 132 142 153 173 178 188 192 218 245 248 253 254 260 277 282 ...\r\n 287 291 293 295 310 317 320 321 326 327 329 341 345 346 349 366 370 371 376 ...\r\n 377 383 384 387 390 391 396 399];\r\nassert(isequal(water_loss(X,5),y))\r\n%%\r\nX = [0 1 1 2 4 3 1 1 7 5 4 9 5 7 10 14 6 12 18 2 12 9 7 7 19 ...\r\n 25 5 22 6 29 25 14 24 17 28 13 3 22 35 8 18 31 2 41 34 26 9 24 25 49 ...\r\n 43 50 36 22 51 27 13 23 41 33 46 61 60 34 62 8 4 21 40 37 64 39 32 40 53 ...\r\n 2 61 11 38 21 30 54 14 24 17 17 29 77 42 36 17 89 38 79 58 36 85 77 46 81 ...\r\n 90 44 35 62 94 74 41 79 104 60 60 35 8 21 11 54 2 108 76 1 4 26 56 16 2 ...\r\n 91 45 100 56 57 7 7 13 80 33 114 117 133 68 31 32 76 109 50 67 93 134 24 106 87 ...\r\n 65 134 60 28 98 97 52 127 158 156 21 38 4 100 19 68 147 92 62 36 75 164 22 82 150 ...\r\n 8 122 174 51 24 124 165 112 165 36 140 65 79 30 155 119 142 155 13 185 98 149 147 165 32 ...\r\n 92 125 189 170 183 120 121 177 8 186 86 8 159 33 31 131 55 71 88 89 85 135 38 42 22 ...\r\n 73 174 54 169 159 190 192 69 73 123 77 197 193 133 63 164 57 111 94 132 243 186 243 59 132 ...\r\n 13 190 152 217 252 238 105 1 140 54 58 86 26 197 198 144 90 223 149 258 242 97 149 95 171 ...\r\n 220 206 35 229 8 117 206 221 104 212 255 70 38 65 102 84 270 15 174 48 248 50 150 298 107 ...\r\n 15 65 121 102 70 286 210 296 135 291 2 190 250 73 293 241 262 182 253 105 72 101 189 269 95 ...\r\n 131 282 202 326 68 273 224 83 159 134 201 269 36 278 286 121 147 196 241 256 262 135 149 333 200 ...\r\n 298 97 220 208 342 31 179 187 33 325 319 159 283 54 226 96 164 310 73 113 179 126 298 369 60 ...\r\n 89 265 142 369 369 245 328 154 243 379 216 361 279 188 249 347 78 155 390 159 261 357 396 260 44];\r\ny = [115 129 130 138 145 163 194 195 204 207 235 239 251 267 271 275 301 303 315 322 338 341 366 392 ];\r\nassert(isequal(water_loss(X,4),y))\r\ny = [143 151 284 289 302 358 388 ];\r\nassert(isequal(water_loss(X,62),y))\r\ny = [130 271 ];\r\nassert(isequal(water_loss(X,57),y))\r\ny = [160 272 352 ];\r\nassert(isequal(water_loss(X,97),y))\r\ny = [275 ];\r\nassert(isequal(water_loss(X,75),y))\r\ny = [145 ];\r\nassert(isequal(water_loss(X,67),y))\r\ny = [275 ];\r\nassert(isequal(water_loss(X,53),y))\r\ny = [99 143 151 219 231 236 263 284 289 302 306 312 340 343 345 354 358 388 393 ];\r\nassert(isequal(water_loss(X,26),y))\r\ny = [160 272 352 ];\r\nassert(isequal(water_loss(X,97),y))\r\ny = [254 ];\r\nassert(isequal(water_loss(X,55),y))\r\n","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":23,"test_suite_updated_at":"2020-05-11T17:59:04.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-05-11T16:06:38.000Z","updated_at":"2025-12-05T01:48:01.000Z","published_at":"2020-05-11T17:59:04.000Z","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\u003eConsider the following water distribution network, where water is pumped uni-directionally from 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=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[ 8\\n /\\n 2 ---- 9 13 24 ---- 25\\n / \\\\ / / \\n / 7 12 ---- 23\\n / 6 / \\\\ 22\\n0 ---- 1 / / 14 /\\n \\\\ 4 ---- 11 /\\n \\\\ / \\\\ 17 ---- 19 ---- 21\\n 3 \\\\ / \\\\ \\\\\\n \\\\ 10 ---- 15 18 \\\\\\n 5 \\\\ 20\\n 16]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe network consists of: (1) a single source station; (2) pumping stations; and, (3) households / end-users. The source station is Node 0.\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\u003ePumping stations\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are nodes that lead water to more nodes downstream. In the example, the pumping stations are Nodes 1, 2, 3, 4, 10, 11, 12, 15, 17, 19, 23, 24. Meanwhile,\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\u003ehouseholds\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are nodes that do not lead to any more nodes downstream. In the example, the households are Nodes 5, 6, 7, 8, 9, 13, 14, 16, 18, 20, 21, 22, 25.\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 there is a leak at any node, then all the nodes downstream from that node will be affected, including itself. For instance, if Node 17 has leaked, then Nodes 17-22 are all affected. Among these, Nodes 18, 20-22 are households. Given\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, can you list all the households that are affected by a leak in Node\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\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\u003eWrite a function that accepts a vector\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, which is a row vector of length\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and a scalar\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e represents the water distribution network, read as follows: Node\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\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: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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ) is a\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\u003edirect\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e downstream water distributor to Node\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, for 1 \u0026lt;=\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Given\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\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:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, output a row vector listing all affected households,\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\u003esorted in increasing order\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor instance, the above example will be represented as:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[i = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25\\nX = [0 1 1 3 3 4 2 2 2 4 4 11 12 12 10 15 15 17 17 19 19 19 12 23 24]]]\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\u003ePlease take the time to verify the elements of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Using this\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eX\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, sample test cases are given below:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e water_loss(X,2)\\nans = \\n 7 8 9\\n\u003e\u003e water_loss(X,10)\\nans =\\n 16 18 20 21 22\\n\u003e\u003e water_loss(X,23)\\nans =\\n 25\\n\u003e\u003e water_loss(X,13)\\nans =\\n 13]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are ensured that:\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\u003e2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 400 and 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\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: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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ) \u0026lt;\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, for\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = [1,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\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: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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ) \u0026gt; 0, for\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = [2,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\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":45470,"title":"Count the number of reaction chains achievable in T mins","description":"This problem is related to Problem \u003c45467\u003e.\r\n\r\nLet's denote a list of *N* compounds as 1, 2, ..., *N*. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u003e 2), as well as the time it takes to complete them ( _completion time_ ). With this information, we can generate _reaction chains_. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\r\n\r\n Given N = 4 and the following valid reactions:\r\n Reaction 1: 1 --\u003e 2 takes 1.5 mins\r\n Reaction 2: 1 --\u003e 3 takes 2.5 mins \r\n Reaction 3: 2 --\u003e 3 takes 0.6 mins\r\n Reaction 4: 3 --\u003e 4 takes 4.1 mins \r\n Reaction 5: 4 --\u003e 2 takes 3.2 mins\r\n Sample reaction chains: 1 --\u003e 3 --\u003e 4 takes (2.5 + 4.1) mins\r\n 1 --\u003e 2 --\u003e 3 --\u003e 4 takes (1.5 + 0.6 + 4.1) mins \r\n 4 --\u003e 2 --\u003e 3 takes (3.2 + 0.6) mins\r\n\r\nNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\r\n\r\nYour task is this: Given a starting compound *S*, can you count how many reaction chains are possible _whose total completion time does not exceed *T* mins_? \r\n\r\nNote that if multiple valid reaction steps are possible between two compounds (e.g. \"1 --\u003e 2 takes 1.5 mins\" and \"1 --\u003e 2 takes 2.5 mins\" both appear in the list), then reaction chains that take either of these paths are distinct. Lastly, for this problem, reaction chains must not contain duplicate compounds; otherwise, they become \"cycles\" rather than \"chains\". \r\n\r\nThe inputs to this problem are *R*, *S*, and *T*. The meanings of *S* and *T* are given above. Variable *R* is a 3-column matrix containing the list of valid reaction steps at each row _i_: \r\n\r\n\"Reaction _i_: *R*( _i_, _1_) --\u003e *R*( _i_, _2_) takes *R*( _i_, _3_) mins\"\r\n\r\nOutput the required number of reaction chains. You are ensured that:\r\n\r\n* *N* and *T* are integers satisfying: 2 \u003c= *N* \u003c= 20 and 1 \u003c= *T* \u003c= 100.\r\n* *S* and all elements in the first 2 columns of *R* are integers within [1, *N*].\r\n* Completion times are decimal numbers within (0,10].\r\n* Each compound 1, ..., *N* is mentioned at least once in *R*. Hence, *N* can be inferred from matrix *R*.\r\n\r\nThe following sample test case is the one illustrated above:\r\n\r\n \u003e\u003e R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\n \u003e\u003e reaction_chain2(R,1,5)\r\n ans = \r\n 3\r\n\u003e\u003e reaction_chain2(R,1,10)\r\n ans = \r\n 6\r\n\r\n\r\nIn this example, all the reaction chains starting from Compound 1 are:\r\n\r\n (1.50 mins) 1 --\u003e 2\r\n (2.10 mins) 1 --\u003e 2 --\u003e 3\r\n (6.20 mins) 1 --\u003e 2 --\u003e 3 --\u003e 4\r\n (2.50 mins) 1 --\u003e 3\r\n (6.60 mins) 1 --\u003e 3 --\u003e 4\r\n (9.80 mins) 1 --\u003e 3 --\u003e 4 --\u003e 2\r\n","description_html":"\u003cp\u003eThis problem is related to Problem \u003ca href = \"45467\"\u003e45467\u003c/a\u003e.\u003c/p\u003e\u003cp\u003eLet's denote a list of \u003cb\u003eN\u003c/b\u003e compounds as 1, 2, ..., \u003cb\u003eN\u003c/b\u003e. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u0026gt; 2), as well as the time it takes to complete them ( \u003ci\u003ecompletion time\u003c/i\u003e ). With this information, we can generate \u003ci\u003ereaction chains\u003c/i\u003e. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eGiven N = 4 and the following valid reactions:\r\nReaction 1: 1 --\u0026gt; 2 takes 1.5 mins\r\nReaction 2: 1 --\u0026gt; 3 takes 2.5 mins \r\nReaction 3: 2 --\u0026gt; 3 takes 0.6 mins\r\nReaction 4: 3 --\u0026gt; 4 takes 4.1 mins \r\nReaction 5: 4 --\u0026gt; 2 takes 3.2 mins\r\nSample reaction chains: 1 --\u0026gt; 3 --\u0026gt; 4 takes (2.5 + 4.1) mins\r\n 1 --\u0026gt; 2 --\u0026gt; 3 --\u0026gt; 4 takes (1.5 + 0.6 + 4.1) mins \r\n 4 --\u0026gt; 2 --\u0026gt; 3 takes (3.2 + 0.6) mins\r\n\u003c/pre\u003e\u003cp\u003eNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\u003c/p\u003e\u003cp\u003eYour task is this: Given a starting compound \u003cb\u003eS\u003c/b\u003e, can you count how many reaction chains are possible \u003ci\u003ewhose total completion time does not exceed \u003cb\u003eT\u003c/b\u003e mins\u003c/i\u003e?\u003c/p\u003e\u003cp\u003eNote that if multiple valid reaction steps are possible between two compounds (e.g. \"1 --\u0026gt; 2 takes 1.5 mins\" and \"1 --\u0026gt; 2 takes 2.5 mins\" both appear in the list), then reaction chains that take either of these paths are distinct. Lastly, for this problem, reaction chains must not contain duplicate compounds; otherwise, they become \"cycles\" rather than \"chains\".\u003c/p\u003e\u003cp\u003eThe inputs to this problem are \u003cb\u003eR\u003c/b\u003e, \u003cb\u003eS\u003c/b\u003e, and \u003cb\u003eT\u003c/b\u003e. The meanings of \u003cb\u003eS\u003c/b\u003e and \u003cb\u003eT\u003c/b\u003e are given above. Variable \u003cb\u003eR\u003c/b\u003e is a 3-column matrix containing the list of valid reaction steps at each row \u003ci\u003ei\u003c/i\u003e:\u003c/p\u003e\u003cp\u003e\"Reaction \u003ci\u003ei\u003c/i\u003e: \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e1\u003c/i\u003e) --\u0026gt; \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e2\u003c/i\u003e) takes \u003cb\u003eR\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, \u003ci\u003e3\u003c/i\u003e) mins\"\u003c/p\u003e\u003cp\u003eOutput the required number of reaction chains. You are ensured that:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cb\u003eN\u003c/b\u003e and \u003cb\u003eT\u003c/b\u003e are integers satisfying: 2 \u0026lt;= \u003cb\u003eN\u003c/b\u003e \u0026lt;= 20 and 1 \u0026lt;= \u003cb\u003eT\u003c/b\u003e \u0026lt;= 100.\u003c/li\u003e\u003cli\u003e\u003cb\u003eS\u003c/b\u003e and all elements in the first 2 columns of \u003cb\u003eR\u003c/b\u003e are integers within [1, \u003cb\u003eN\u003c/b\u003e].\u003c/li\u003e\u003cli\u003eCompletion times are decimal numbers within (0,10].\u003c/li\u003e\u003cli\u003eEach compound 1, ..., \u003cb\u003eN\u003c/b\u003e is mentioned at least once in \u003cb\u003eR\u003c/b\u003e. Hence, \u003cb\u003eN\u003c/b\u003e can be inferred from matrix \u003cb\u003eR\u003c/b\u003e.\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eThe following sample test case is the one illustrated above:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\n\u0026gt;\u0026gt; reaction_chain2(R,1,5)\r\nans = \r\n 3\r\n\u0026gt;\u0026gt; reaction_chain2(R,1,10)\r\nans = \r\n 6\r\n\u003c/pre\u003e\u003cp\u003eIn this example, all the reaction chains starting from Compound 1 are:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e(1.50 mins) 1 --\u0026gt; 2\r\n(2.10 mins) 1 --\u0026gt; 2 --\u0026gt; 3\r\n(6.20 mins) 1 --\u0026gt; 2 --\u0026gt; 3 --\u0026gt; 4\r\n(2.50 mins) 1 --\u0026gt; 3\r\n(6.60 mins) 1 --\u0026gt; 3 --\u0026gt; 4\r\n(9.80 mins) 1 --\u0026gt; 3 --\u0026gt; 4 --\u0026gt; 2\r\n\u003c/pre\u003e","function_template":"function y = reaction_chain2(R,S,T)\r\n y = T;\r\nend","test_suite":"%%\r\nfiletext = fileread('reaction_chain2.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nR = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\r\nassert(isequal(reaction_chain2(R,1,5),3))\r\nassert(isequal(reaction_chain2(R,1,10),6))\r\n%%\r\nR = [2 1 1.5592;1 2 2.4465;7 6 5.9819;7 6 1.9563;5 7 4.9169; ...\r\n9 10 2.6206;9 10 3.6554;10 9 6.9576;2 1 1.5000;2 13 9.0677; ...\r\n13 2 7.3477;4 5 8.9883;5 4 7.8082;6 5 0.7312;10 8 2.5875; ...\r\n8 9 4.9516;10 9 3.9300;12 1 0.0830;1 12 9.7302;13 12 6.0841; ...\r\n3 5 0.0807;3 5 5.3663;4 5 2.4256;7 9 0.1973;7 9 8.2272; ...\r\n8 9 1.6038;11 12 8.2550;13 11 1.9458;13 11 1.3879;2 4 9.8468; ...\r\n3 2 4.8237;2 3 5.5103;7 6 9.9712;7 8 5.0623;7 6 8.8766; ...\r\n11 12 4.6054;10 12 1.0703;10 12 5.3461;3 2 5.4698;1 2 5.6282; ...\r\n2 1 2.9354;7 6 1.5597;6 5 8.5908;5 7 7.9862;9 11 5.0525; ...\r\n9 11 3.1038;11 10 2.6583];\r\nassert(isequal(reaction_chain2(R,4,100),1966))\r\nassert(isequal(reaction_chain2(R,2,3),3))\r\nassert(isequal(reaction_chain2(R,1,20),74))\r\n%%\r\nR = [3 2 8.2070;2 1 1.0576;5 6 4.3201;5 6 1.1111;6 7 5.3338; ...\r\n11 10 9.7877;10 11 5.9987;9 10 4.3743;14 13 2.7591;13 15 8.6333; ...\r\n14 13 5.6640;17 18 1.6193;17 1 2.8767;17 18 6.9178;4 3 5.6304; ...\r\n4 3 4.3412;5 4 0.5619;9 8 9.5380;9 7 0.0224;9 8 7.1412; ...\r\n11 13 2.7473;11 12 0.6646;12 11 1.2049;17 15 8.9250;16 15 3.4592; ...\r\n17 15 0.4951;1 2 4.0666;1 2 0.5611;2 3 6.7063;6 5 2.7088; ...\r\n5 7 7.1288;5 6 0.6856;11 9 4.1500;11 10 5.9775;9 10 8.3965; ...\r\n15 14 7.5966;14 15 4.1755;14 13 8.3002;1 18 5.0146;1 17 9.7139; ...\r\n17 18 0.2792;3 5 5.4500;5 3 2.3200;5 3 8.7088;7 8 4.0699; ...\r\n8 7 1.8611;9 8 7.8793;13 11 7.7952;11 13 5.4524;13 12 1.3119];\r\nassert(isequal(reaction_chain2(R,16,30),42))\r\nassert(isequal(reaction_chain2(R,16,20),9))\r\nassert(isequal(reaction_chain2(R,16,10),1))\r\n%%\r\nR = [2 3 3.1864;3 2 4.9359;1 2 7.7339;5 1 5.2448;2 5 1.3431; ...\r\n4 1 4.8876;4 1 9.5712;4 1 2.6840;4 3 0.0273;5 4 1.7028; ...\r\n5 4 5.2548;3 2 4.2046;3 4 8.6170;3 4 9.1101;2 1 3.3861];\r\nassert(isequal(reaction_chain2(R,1,20),8))\r\nassert(isequal(reaction_chain2(R,3,11),14))\r\nassert(isequal(reaction_chain2(R,3,12),18))\r\nassert(isequal(reaction_chain2(R,3,13),20))\r\nassert(isequal(reaction_chain2(R,3,14),23))\r\nassert(isequal(reaction_chain2(R,3,15),24))\r\nassert(isequal(reaction_chain2(R,3,100),44))\r\n%%\r\nR = [4 16 0.4237;2 9 0.0306;8 11 0.6388;1 13 0.1693;2 16 0.3843; ...\r\n8 6 0.5554;6 7 0.3490;17 7 0.1930;17 6 0.5509;17 2 0.2577; ...\r\n8 11 0.8995;4 18 0.4340;15 10 0.3313;8 13 0.9162;17 3 0.1199; ...\r\n17 12 0.0403;10 17 0.3857;6 5 0.2009;7 11 0.2684;12 15 0.1040; ...\r\n14 12 0.4747;17 2 0.5991;5 1 0.5799;16 11 0.8399;4 12 0.1740; ...\r\n6 1 0.7015;18 14 0.7567;10 6 0.2449;6 18 0.2307;10 4 0.4340; ...\r\n3 7 0.7936;15 17 0.5404;15 13 0.0432;3 5 0.2467;4 5 0.2755; ...\r\n18 7 0.2973;8 6 0.7573;7 3 0.6172;16 9 0.0776;17 6 0.6139; ...\r\n12 4 0.9600;12 10 0.8690;11 1 0.4827;15 14 0.5723;1 13 0.4494; ...\r\n12 14 0.8047;1 15 0.5674;2 5 0.1335;11 10 0.0689;18 5 0.3155; ...\r\n6 1 0.5279;5 8 0.9475;17 3 0.5919];\r\nassert(isequal(reaction_chain2(R,9,100),0))\r\nassert(isequal(reaction_chain2(R,3,100),3812))\r\nassert(isequal(reaction_chain2(R,3,1),4))\r\nassert(isequal(reaction_chain2(R,3,2),42))\r\n%%\r\nR = [1 2 5;1 2 9];\r\nassert(isequal(reaction_chain2(R,1,10),2))\r\nassert(isequal(reaction_chain2(R,2,10),0))\r\n%%\r\nR = [3 1 9.1338;2 1 2.7850;1 2 9.6489;5 2 9.5717;1 2 1.4189; ...\r\n5 1 7.9221;1 5 0.3571;5 4 7.0605;3 5 6.9483;3 5 0.3445; ...\r\n5 3 4.8976;4 2 6.7970;3 2 1.1900;3 4 3.4039;2 1 7.5127; ...\r\n1 2 6.9908;3 1 8.1428;5 2 3.4998;5 2 7.5373];\r\nassert(isequal(reaction_chain2(R,4,7),1))\r\nassert(isequal(reaction_chain2(R,1,5),3))\r\n%%\r\nR = [3 1 3.9978;1 3 4.3141;7 5 2.6380;7 6 3.5095;5 6 0.4965; ...\r\n10 9 7.8025;10 9 4.0391;1 10 0.5978;3 4 8.2119;4 5 6.4775; ...\r\n5 3 6.8678;7 8 6.2562;9 7 9.2939;9 8 4.3586;2 1 5.0851; ...\r\n2 3 7.9483;3 2 6.2248;6 5 3.0125;6 5 8.4431];\r\nassert(isequal(reaction_chain2(R,2,23),21))\r\nassert(isequal(reaction_chain2(R,2,25),25))\r\n%%\r\nR = [1 2 3.1110;3 2 1.8482;6 5 6.0284;7 5 1.1742;6 5 2.6248; ...\r\n11 9 9.2885;11 10 5.7853;9 10 9.6309;13 15 9.1329;15 13 2.6187; ...\r\n14 15 1.3655;4 2 6.5376;3 4 7.1504;4 2 0.3054;8 7 4.7992; ...\r\n8 7 6.1767;6 7 1.6793;11 10 6.8197;10 12 8.1755;12 10 6.5961; ...\r\n15 1 6.4899;1 15 4.3239];\r\nassert(isequal(reaction_chain2(R,3,30),4))\r\nassert(isequal(reaction_chain2(R,12,30),1))\r\nassert(isequal(reaction_chain2(R,6,30),4))\r\n\r\n","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":15,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-21T14:15:20.000Z","updated_at":"2025-12-04T23:53:49.000Z","published_at":"2020-04-21T14:15:20.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis problem is related to Problem\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"45467\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e45467\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eLet's denote a list of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e compounds as 1, 2, ...,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. You are then given a list of valid reactions for converting one compound to another (e.g. 1 --\u0026gt; 2), as well as the time it takes to complete them (\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\u003ecompletion time\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e ). With this information, we can generate\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\u003ereaction chains\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. A reaction chain is a series of valid reaction steps taken one after the other. Examples are given below:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[Given N = 4 and the following valid reactions:\\nReaction 1: 1 --\u003e 2 takes 1.5 mins\\nReaction 2: 1 --\u003e 3 takes 2.5 mins \\nReaction 3: 2 --\u003e 3 takes 0.6 mins\\nReaction 4: 3 --\u003e 4 takes 4.1 mins \\nReaction 5: 4 --\u003e 2 takes 3.2 mins\\nSample reaction chains: 1 --\u003e 3 --\u003e 4 takes (2.5 + 4.1) mins\\n 1 --\u003e 2 --\u003e 3 --\u003e 4 takes (1.5 + 0.6 + 4.1) mins \\n 4 --\u003e 2 --\u003e 3 takes (3.2 + 0.6) mins]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that conversion reactions can only move forward. But if the list states that converting to and from the same two compounds is possible, then a reaction chain can take only one of these paths.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task is this: Given a starting compound\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, can you count how many reaction chains are possible\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\u003ewhose total completion time does not exceed\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e mins\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that if multiple valid reaction steps are possible between two compounds (e.g. \\\"1 --\u0026gt; 2 takes 1.5 mins\\\" and \\\"1 --\u0026gt; 2 takes 2.5 mins\\\" both appear in the list), then reaction chains that take either of these paths are distinct. Lastly, for this problem, reaction chains must not contain duplicate compounds; otherwise, they become \\\"cycles\\\" rather than \\\"chains\\\".\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe inputs to this problem are\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The meanings of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are given above. Variable\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is a 3-column matrix containing the list of valid reaction steps at each row\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\"Reaction\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e:\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e1\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) --\u0026gt;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e2\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) takes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) mins\\\"\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOutput the required number of reaction chains. You are ensured that:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are integers satisfying: 2 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 20 and 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eT\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eS\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and all elements in the first 2 columns of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are integers within [1,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCompletion times are decimal numbers within (0,10].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eEach compound 1, ...,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is mentioned at least once in\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Hence,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e can be inferred from matrix\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eR\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe following sample test case is the one illustrated above:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e R = [1 2 1.5; 1 3 2.5; 2 3 0.6; 3 4 4.1; 4 2 3.2];\\n\u003e\u003e reaction_chain2(R,1,5)\\nans = \\n 3\\n\u003e\u003e reaction_chain2(R,1,10)\\nans = \\n 6]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn this example, all the reaction chains starting from Compound 1 are:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[(1.50 mins) 1 --\u003e 2\\n(2.10 mins) 1 --\u003e 2 --\u003e 3\\n(6.20 mins) 1 --\u003e 2 --\u003e 3 --\u003e 4\\n(2.50 mins) 1 --\u003e 3\\n(6.60 mins) 1 --\u003e 3 --\u003e 4\\n(9.80 mins) 1 --\u003e 3 --\u003e 4 --\u003e 2]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45415,"title":"Find an optimal placement of coolers on a grid","description":"In a certain chemical plant, 6 new pieces of cooling equipment (coolers) are to be installed in a vacant space. This vacant space was divided into a grid of 6 cells by 6 cells. Your task is to assign the 6 coolers to 6 cells in this grid with the following requirements:\r\n\r\n# There must be one cooler for every column in the grid.\r\n# If you decide to install a cooler at row R, column C, then the cooler at column C+1 must be installed either on row R-1, R, or R+1 only. This is done to ease the connection of coolers by piping.\r\n# The total installation cost for the 6 coolers must be minimum.\r\n\r\nFor this problem, you are given a cost matrix (COST) in relation to the third requirement above. COST is a 6 x 6 matrix where the _r,c_-th element is the cost of assigning any cooler to row _r_, column _c_ (All the coolers are identical). Write a function that accepts the matrix COST, and output the value of the minimum cost of installation. You are ensured that all elements of COST are integers in the range [1,1000].\r\n\r\nIn the sample test case below, the optimal placement is at the following rows: 4,3,3,2,2,2.\r\n\r\n \u003e\u003e COST = [695 766 710 119 752 548;\r\n 318 796 755 499 256 139;\r\n 951 187 277 960 506 150;\r\n 35 490 680 341 700 258;\r\n 439 446 656 586 891 841;\r\n 382 647 163 224 960 255];\r\n \u003e\u003e coolers(COST)\r\n ans = \r\n 1393\r\n \r\nMeanwhile, the optimal placement for the case below is at rows: 5,6,5,6,5,6\r\n\r\n \u003e\u003e COST = [815 617 918 76 569 312;\r\n 244 474 286 54 470 529;\r\n 930 352 758 531 455 988;\r\n 350 831 754 780 12 602;\r\n 197 586 381 935 163 263;\r\n 252 550 568 130 795 100];\r\n \u003e\u003e coolers(COST)\r\n ans = \r\n 1521\r\n","description_html":"\u003cp\u003eIn a certain chemical plant, 6 new pieces of cooling equipment (coolers) are to be installed in a vacant space. This vacant space was divided into a grid of 6 cells by 6 cells. Your task is to assign the 6 coolers to 6 cells in this grid with the following requirements:\u003c/p\u003e\u003col\u003e\u003cli\u003eThere must be one cooler for every column in the grid.\u003c/li\u003e\u003cli\u003eIf you decide to install a cooler at row R, column C, then the cooler at column C+1 must be installed either on row R-1, R, or R+1 only. This is done to ease the connection of coolers by piping.\u003c/li\u003e\u003cli\u003eThe total installation cost for the 6 coolers must be minimum.\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eFor this problem, you are given a cost matrix (COST) in relation to the third requirement above. COST is a 6 x 6 matrix where the \u003ci\u003er,c\u003c/i\u003e-th element is the cost of assigning any cooler to row \u003ci\u003er\u003c/i\u003e, column \u003ci\u003ec\u003c/i\u003e (All the coolers are identical). Write a function that accepts the matrix COST, and output the value of the minimum cost of installation. You are ensured that all elements of COST are integers in the range [1,1000].\u003c/p\u003e\u003cp\u003eIn the sample test case below, the optimal placement is at the following rows: 4,3,3,2,2,2.\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; COST = [695 766 710 119 752 548;\r\n 318 796 755 499 256 139;\r\n 951 187 277 960 506 150;\r\n 35 490 680 341 700 258;\r\n 439 446 656 586 891 841;\r\n 382 647 163 224 960 255];\r\n\u0026gt;\u0026gt; coolers(COST)\r\nans = \r\n 1393\r\n\u003c/pre\u003e\u003cp\u003eMeanwhile, the optimal placement for the case below is at rows: 5,6,5,6,5,6\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e\u0026gt;\u0026gt; COST = [815 617 918 76 569 312;\r\n 244 474 286 54 470 529;\r\n 930 352 758 531 455 988;\r\n 350 831 754 780 12 602;\r\n 197 586 381 935 163 263;\r\n 252 550 568 130 795 100];\r\n\u0026gt;\u0026gt; coolers(COST)\r\nans = \r\n 1521\r\n\u003c/pre\u003e","function_template":"function y = coolers(COST)\r\n y = x;\r\nend","test_suite":"%%\r\nfiletext = fileread('coolers.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\n%%\r\nCOST = [815 617 918 76 569 312;\r\n 244 474 286 54 470 529;\r\n 930 352 758 531 455 988;\r\n 350 831 754 780 12 602;\r\n 197 586 381 935 163 263;\r\n 252 550 568 130 795 100];\r\nassert(isequal(coolers(COST),1521))\r\n%%\r\nCOST = [690 153 107 85 182 550;\r\n 749 826 962 400 264 145;\r\n 451 539 5 260 146 854;\r\n 84 997 775 801 137 623;\r\n 229 79 818 432 870 351;\r\n 914 443 869 911 580 514];\r\nassert(isequal(coolers(COST),1179))\r\n%%\r\nCOST = [402 418 338 242 576 44;\r\n 76 50 901 404 60 169;\r\n 240 903 370 97 235 650;\r\n 124 945 112 132 354 732;\r\n 184 491 781 943 822 648;\r\n 240 490 390 957 16 451];\r\nassert(isequal(coolers(COST),697))\r\n%%\r\nCOST = [1 1 1000 1000 1000 1;\r\n 1 1000 1 1000 1000 1000;\r\n 1 1000 1000 1000 1 1000;\r\n 1 1000 1000 1 1000 1000;\r\n 1 1000 1000 1000 1000 1000;\r\n 1 1000 1000 1000 1000 1000];\r\nassert(isequal(coolers(COST),2004))\r\n%%\r\nCOST = [548 369 487 818 351 208;\r\n 297 626 436 795 940 302;\r\n 745 781 447 645 876 471;\r\n 189 82 307 379 551 231;\r\n 687 930 509 812 623 845;\r\n 184 776 511 533 588 195];\r\nassert(isequal(coolers(COST),1739))\r\n%%\r\nCOST = [226 431 259 222 86 489;\r\n 171 185 409 118 263 579;\r\n 228 905 595 297 802 238;\r\n 436 980 263 319 30 459;\r\n 312 439 603 425 929 964;\r\n 924 112 712 508 731 547];\r\nassert(isequal(coolers(COST),1234))\r\n%%\r\nCOST = [522 368 99 107 891 501;\r\n 232 988 262 654 335 480;\r\n 489 38 336 495 699 905;\r\n 625 886 680 780 198 610;\r\n 680 914 137 716 31 618;\r\n 396 797 722 904 745 860];\r\nassert(isequal(coolers(COST),1454))\r\n%%\r\nCOST = [806 490 60 819 973 84;\r\n 577 168 682 818 649 134;\r\n 183 979 43 723 801 174;\r\n 240 713 72 150 454 391;\r\n 887 501 522 660 433 832;\r\n 29 472 97 519 826 804];\r\nassert(isequal(coolers(COST),1172))\r\n%%\r\nCOST = [61 292 373 53 418 699;\r\n 400 432 199 738 984 667;\r\n 527 16 490 270 302 179;\r\n 417 985 340 423 702 129;\r\n 657 168 952 548 667 1000;\r\n 628 107 921 943 540 172];\r\nassert(isequal(coolers(COST),1253))\r\n%%\r\nCOST = [33 461 191 385 825 907;\r\n 562 982 429 583 983 880;\r\n 882 157 483 252 731 818;\r\n 670 856 121 291 344 261;\r\n 191 645 590 618 585 595;\r\n 369 377 227 266 108 23];\r\nassert(isequal(coolers(COST),1192))\r\n%%\r\nCOST = [426 599 69 719 779 441;\r\n 313 471 320 969 424 528;\r\n 162 696 531 532 91 458;\r\n 179 700 655 326 267 876;\r\n 423 639 408 106 154 519;\r\n 95 34 820 611 282 944];\r\nassert(isequal(coolers(COST),1316))\r\n%%\r\nCOST = [638 696 345 916 323 474;\r\n 958 68 781 2 785 153;\r\n 241 255 676 463 472 342;\r\n 677 225 7 425 36 608;\r\n 290 668 603 461 176 192;\r\n 672 845 387 771 722 739];\r\nassert(isequal(coolers(COST),1126))\r\n%%\r\nCOST = [243 92 648 237 771 257;\r\n 918 577 680 120 351 614;\r\n 270 684 636 608 663 583;\r\n 766 547 946 451 417 541;\r\n 189 426 209 459 842 870;\r\n 288 645 710 662 833 265];\r\nassert(isequal(coolers(COST),1711))\r\n%%\r\nCOST = [319 545 219 366 193 862;\r\n 120 648 106 764 139 485;\r\n 940 544 110 628 697 394;\r\n 646 722 64 772 94 672;\r\n 480 523 405 933 526 742;\r\n 640 994 449 973 531 521];\r\nassert(isequal(coolers(COST),1669))\r\n%%\r\nCOST = [674 622 842 636 885 896;\r\n 575 722 853 599 699 975;\r\n 794 844 722 911 905 664;\r\n 632 680 510 715 878 836;\r\n 523 869 667 944 689 720;\r\n 878 698 713 696 609 917];\r\nassert(isequal(coolers(COST),3837))\r\n%%\r\nCOST = [82 122 681 602 355 371;...\r\n 483 544 417 347 776 384;...\r\n 129 315 643 365 237 862;...\r\n 253 383 215 172 845 464;...\r\n 884 792 618 796 817 571;...\r\n 197 840 676 493 847 696];\r\nassert(isequal(coolers(COST),1452))\r\n%%\r\nCOST = [961 170 710 563 536 327;...\r\n 547 179 176 177 199 603;...\r\n 637 244 859 514 624 362;...\r\n 571 752 910 549 27 135;...\r\n 928 200 962 166 319 914;...\r\n 864 983 571 494 533 641];\r\nassert(isequal(coolers(COST),1569))\r\n%%\r\nCOST = [659 381 223 112 267 869;...\r\n 676 822 1000 425 292 529;...\r\n 745 172 64 614 189 915;...\r\n 843 330 426 989 23 974;...\r\n 517 967 405 220 450 586;...\r\n 152 807 401 355 244 119];\r\nassert(isequal(coolers(COST),1835))\r\n%%\r\nCOST = [927 925 215 554 571 679;...\r\n 594 643 249 631 336 213;...\r\n 884 105 227 986 958 82;...\r\n 425 701 704 635 440 275;...\r\n 608 396 755 601 602 868;...\r\n 71 85 548 910 721 560];\r\nassert(isequal(coolers(COST),1751))\r\n%%\r\nCOST = [465 433 384 904 809 299;...\r\n 431 506 712 219 180 769;...\r\n 774 376 481 874 166 502;...\r\n 654 481 730 83 182 910;...\r\n 658 343 938 466 692 58;...\r\n 162 778 518 22 214 437];\r\nassert(isequal(coolers(COST),1317))\r\n%%\r\nCOST = [573 952 497 860 78 228;...\r\n 566 767 809 627 339 710;...\r\n 824 752 633 181 581 149;...\r\n 127 139 689 574 476 659;...\r\n 301 350 640 164 806 634;...\r\n 3 152 730 907 531 230];\r\nassert(isequal(coolers(COST),1568))\r\n%%\r\nCOST = [183 958 897 179 998 879;...\r\n 167 26 190 747 5 747;...\r\n 150 972 661 50 543 118;...\r\n 203 298 942 72 862 510;...\r\n 955 526 976 490 910 169;...\r\n 16 863 108 850 846 832];\r\nassert(isequal(coolers(COST),539))\r\n%%\r\nCOST = [929 868 245 81 27 760;...\r\n 170 742 641 361 786 926;...\r\n 884 448 809 829 923 833;...\r\n 388 710 854 215 493 260;...\r\n 383 945 399 792 835 214;...\r\n 272 175 116 655 132 523];\r\nassert(isequal(coolers(COST),1564))\r\n%%\r\nCOST = [398 438 798 217 378 972;...\r\n 480 773 656 812 168 361;...\r\n 994 745 33 139 541 645;...\r\n 605 443 558 882 102 68;...\r\n 945 54 720 924 40 208;...\r\n 491 88 111 13 934 40];\r\nassert(isequal(coolers(COST),749))\r\n%%\r\nCOST = [470 581 9 642 470 879;...\r\n 151 541 825 106 220 189;...\r\n 992 706 768 269 923 760;...\r\n 428 6 998 764 321 32;...\r\n 956 783 228 806 858 643;...\r\n 725 927 920 105 260 567];\r\nassert(isequal(coolers(COST),1216))\r\n%%\r\nCOST = [377 187 35 595 562 603;...\r\n 213 486 489 499 634 474;...\r\n 793 839 972 568 931 357;...\r\n 146 142 113 427 978 476;...\r\n 490 733 744 77 94 672;...\r\n 13 692 639 291 662 960];\r\nassert(isequal(coolers(COST),1048))\r\n%%\r\nCOST = [90 52 454 629 707 46;...\r\n 798 505 738 133 536 886;...\r\n 591 769 510 619 194 840;...\r\n 913 283 383 384 690 119;...\r\n 102 226 906 992 51 411;...\r\n 294 332 966 287 185 121];\r\nassert(isequal(coolers(COST),1042))\r\n%%\r\nCOST = [573 666 232 754 549 464;...\r\n 950 974 53 622 461 590;...\r\n 257 623 902 395 646 188;...\r\n 990 64 794 360 514 612;...\r\n 350 374 374 89 815 52;...\r\n 209 167 833 342 98 576];\r\nassert(isequal(coolers(COST),934))\r\n%%\r\nCOST = [843 797 666 67 652 382;...\r\n 500 294 961 898 134 301;...\r\n 440 116 944 498 639 341;...\r\n 150 376 113 772 385 919;...\r\n 29 829 649 61 766 457;...\r\n 757 842 481 263 653 443];\r\nassert(isequal(coolers(COST),1166))\r\n%%\r\nCOST = [455 767 602 56 365 673;...\r\n 946 343 650 99 677 203;...\r\n 220 619 343 650 376 869;...\r\n 883 454 494 765 864 752;...\r\n 20 11 702 988 292 420;...\r\n 342 600 888 126 134 1];\r\nassert(isequal(coolers(COST),994))\r\n%%\r\nCOST = [150 436 24 66 150 132;...\r\n 274 904 575 924 351 887;...\r\n 873 926 47 535 336 675;...\r\n 602 506 423 367 785 836;...\r\n 322 628 468 364 487 657;...\r\n 285 720 23 152 465 984];\r\nassert(isequal(coolers(COST),958))\r\n%%\r\nCOST = [980 191 386 245 842 952;...\r\n 251 125 311 804 79 966;...\r\n 625 3 4 824 238 766;...\r\n 729 153 816 853 818 575;...\r\n 499 535 639 468 406 916;...\r\n 850 511 449 971 467 496];\r\nassert(isequal(coolers(COST),1655))\r\n%%\r\nCOST = [167 167 988 896 65 887;...\r\n 326 948 151 835 264 421;...\r\n 297 812 959 3 103 284;...\r\n 559 711 531 641 484 49;...\r\n 68 971 75 804 419 220;...\r\n 69 999 312 246 382 240];\r\nassert(isequal(coolers(COST),640))\r\n%%\r\nCOST = [30 653 667 689 433 469;...\r\n 703 321 848 321 905 546;...\r\n 8 104 763 532 631 180;...\r\n 611 536 808 874 984 635;...\r\n 409 165 633 55 586 963;...\r\n 249 884 711 501 841 535];\r\nassert(isequal(coolers(COST),2007))\r\n%%\r\nCOST = [480 679 683 689 62 13;...\r\n 794 566 947 148 220 217;...\r\n 93 479 100 778 83 12;...\r\n 881 321 512 400 951 643;...\r\n 4 602 111 899 17 517;...\r\n 512 914 546 308 115 246];\r\nassert(isequal(coolers(COST),648))\r\n%%\r\nCOST = [194 309 342 580 56 396;...\r\n 91 745 840 329 35 170;...\r\n 369 840 983 269 287 431;...\r\n 8 263 627 551 78 417;...\r\n 603 515 182 181 901 729;...\r\n 479 447 124 679 847 407];\r\nassert(isequal(coolers(COST),1129))\r\n%%\r\nCOST = [952 211 79 334 443 924;...\r\n 912 131 934 693 633 153;...\r\n 952 521 603 204 930 406;...\r\n 347 906 378 959 530 313;...\r\n 291 403 665 712 627 694;...\r\n 887 216 793 167 681 891];\r\nassert(isequal(coolers(COST),2052))\r\n%%\r\nCOST = [491 677 35 27 661 34;...\r\n 806 829 437 501 330 407;...\r\n 327 111 937 828 660 717;...\r\n 550 280 263 259 14 922;...\r\n 389 768 570 46 719 985;...\r\n 897 217 360 247 392 984];\r\nassert(isequal(coolers(COST),1266))\r\n%%\r\nCOST = [897 655 269 739 879 390;...\r\n 866 864 153 13 903 300;...\r\n 801 275 631 606 153 735;...\r\n 555 841 317 577 193 105;...\r\n 419 71 960 808 791 793;...\r\n 128 379 499 655 61 783];\r\nassert(isequal(coolers(COST),1254))\r\n%%\r\nCOST = [533 130 314 596 463 399;...\r\n 254 451 642 537 368 478;...\r\n 71 673 787 331 680 67;...\r\n 626 857 290 412 568 412;...\r\n 25 499 498 795 652 970;...\r\n 63 49 819 344 492 781];\r\nassert(isequal(coolers(COST),1580))\r\n%%\r\nCOST = [730 112 727 411 679 798;...\r\n 766 397 148 143 254 712;...\r\n 757 493 148 799 844 784;...\r\n 844 259 705 931 294 624;...\r\n 771 37 381 5 27 826;...\r\n 979 975 77 651 94 36];\r\nassert(isequal(coolers(COST),953))\r\n%%\r\nCOST = [406 27 672 377 507 436;...\r\n 250 156 53 114 329 158;...\r\n 481 834 735 965 754 601;...\r\n 881 195 500 433 837 938;...\r\n 281 830 944 85 254 108;...\r\n 600 339 290 717 535 900];\r\nassert(isequal(coolers(COST),931))\r\n%%\r\nCOST = [551 355 642 427 787 943;...\r\n 428 774 128 34 512 97;...\r\n 153 882 497 930 563 846;...\r\n 248 735 311 925 685 910;...\r\n 448 407 579 359 93 12;...\r\n 533 605 944 260 873 524];\r\nassert(isequal(coolers(COST),1430))\r\n%%\r\nCOST = [651 279 401 430 885 568;...\r\n 386 840 555 38 256 895;...\r\n 650 427 444 976 910 215;...\r\n 763 632 91 523 895 4;...\r\n 576 834 745 910 399 881;...\r\n 632 271 33 384 626 236];\r\nassert(isequal(coolers(COST),1575))\r\n%%\r\nCOST = [245 391 532 153 716 903;...\r\n 641 802 889 231 281 290;...\r\n 305 158 264 658 413 500;...\r\n 826 626 235 563 363 784;...\r\n 884 699 840 292 782 678;...\r\n 946 86 496 623 136 150];\r\nassert(isequal(coolers(COST),1276))\r\n%%\r\nCOST = [697 977 429 793 902 349;...\r\n 130 126 15 420 52 166;...\r\n 946 753 326 533 809 29;...\r\n 887 828 135 926 335 956;...\r\n 516 782 451 900 229 681;...\r\n 680 191 573 545 823 861];\r\nassert(isequal(coolers(COST),772))\r\n%%\r\nCOST = [940 301 652 887 695 895;...\r\n 681 74 170 115 207 842;...\r\n 918 768 532 443 555 131;...\r\n 257 85 634 660 880 190;...\r\n 886 729 15 295 558 154;...\r\n 921 448 471 951 753 29];\r\nassert(isequal(coolers(COST),1239))\r\n%%\r\nCOST = [10 496 746 686 237 463;...\r\n 597 259 338 268 196 926;...\r\n 610 733 585 970 706 216;...\r\n 919 117 469 184 181 2;...\r\n 734 747 88 300 523 907;...\r\n 302 810 829 412 297 681];\r\nassert(isequal(coolers(COST),1182))\r\n%%\r\nCOST = [515 394 842 779 399 396;...\r\n 523 8 49 728 671 399;...\r\n 103 546 317 651 441 752;...\r\n 997 510 784 665 133 523;...\r\n 359 247 973 939 440 491;...\r\n 626 46 587 536 548 89];\r\nassert(isequal(coolers(COST),1435))\r\n%%\r\nCOST = [251 93 71 159 652 1;...\r\n 448 954 301 63 499 641;...\r\n 638 163 814 702 285 8;...\r\n 710 971 77 87 831 107;...\r\n 993 598 355 617 819 107;...\r\n 933 241 133 174 939 368];\r\nassert(isequal(coolers(COST),771))\r\n%%\r\nCOST = [240 788 66 813 71 954;...\r\n 347 270 611 815 242 209;...\r\n 250 844 702 90 732 117;...\r\n 388 741 112 732 41 647;...\r\n 422 827 96 904 425 109;...\r\n 641 183 598 453 541 984];\r\nassert(isequal(coolers(COST),1343))\r\n%%\r\nCOST = [249 916 747 918 880 282;...\r\n 607 901 476 471 799 169;...\r\n 817 215 584 270 325 746;...\r\n 831 548 261 763 670 478;...\r\n 490 785 85 773 297 654;...\r\n 761 195 299 22 930 967];\r\nassert(isequal(coolers(COST),1567))\r\n%%\r\nCOST = [314 77 818 283 736 557;...\r\n 77 154 767 639 157 274;...\r\n 792 827 375 593 435 133;...\r\n 366 301 190 326 833 700;...\r\n 586 384 647 989 360 486;...\r\n 184 651 4 124 77 183];\r\nassert(isequal(coolers(COST),956))\r\n%%\r\nCOST = [102 248 381 378 851 968;...\r\n 202 438 749 973 257 477;...\r\n 135 670 157 606 286 995;...\r\n 324 548 59 339 780 491;...\r\n 951 610 340 928 702 504;...\r\n 533 864 818 899 493 769];\r\nassert(isequal(coolers(COST),1799))\r\n%%\r\nCOST = [389 799 340 268 52 543;...\r\n 454 221 273 177 628 809;...\r\n 133 858 171 432 30 794;...\r\n 759 905 665 476 137 502;...\r\n 566 293 536 786 695 277;...\r\n 649 726 830 131 516 120];\r\nassert(isequal(coolers(COST),1234))\r\n%%\r\nCOST = [887 183 567 504 84 962;...\r\n 971 32 378 261 74 467;...\r\n 943 725 822 733 770 787;...\r\n 639 145 305 163 818 423;...\r\n 91 636 320 922 741 944;...\r\n 75 790 785 223 759 2];\r\nassert(isequal(coolers(COST),1447))\r\n%%\r\nCOST = [982 666 329 847 415 7;...\r\n 571 685 928 902 662 767;...\r\n 347 793 757 596 784 22;...\r\n 558 349 289 69 248 394;...\r\n 300 251 607 219 555 253;...\r\n 160 346 767 870 230 205];\r\nassert(isequal(coolers(COST),1039))\r\n%%\r\nCOST = [663 975 947 135 372 260;...\r\n 915 120 967 806 227 134;...\r\n 7 519 68 525 447 420;...\r\n 747 822 438 945 267 507;...\r\n 800 638 321 989 460 325;...\r\n 908 954 135 410 433 685];\r\nassert(isequal(coolers(COST),1081))\r\n%%\r\nCOST = [444 502 305 970 394 701;...\r\n 436 556 767 690 459 110;...\r\n 794 631 268 718 209 7;...\r\n 816 98 40 560 758 598;...\r\n 753 246 297 534 547 660;...\r\n 790 616 557 876 358 581];\r\nassert(isequal(coolers(COST),1667))\r\n%%\r\nCOST = [910 165 870 241 503 143;...\r\n 637 281 788 9 568 381;...\r\n 526 260 970 672 189 397;...\r\n 260 548 181 905 325 577;...\r\n 52 542 931 573 717 20;...\r\n 732 789 46 156 553 578];\r\nassert(isequal(coolers(COST),1369))\r\n%%\r\nCOST = [933 303 817 55 540 946;...\r\n 107 460 451 638 938 377;...\r\n 733 49 807 425 661 68;...\r\n 971 386 791 906 395 182;...\r\n 609 362 283 418 259 576;...\r\n 720 288 69 155 848 186];\r\nassert(isequal(coolers(COST),1495))\r\n%%\r\nCOST = [292 28 747 842 871 890;...\r\n 462 659 747 511 212 66;...\r\n 347 159 174 166 837 510;...\r\n 319 803 118 715 860 621;...\r\n 460 409 175 908 524 734;...\r\n 236 328 628 219 478 230];\r\nassert(isequal(coolers(COST),1040))\r\n%%\r\nCOST = [22 327 315 114 208 74;...\r\n 139 138 160 701 785 595;...\r\n 770 385 153 180 527 862;...\r\n 970 563 137 804 572 449;...\r\n 387 634 710 514 423 653;...\r\n 994 542 465 549 722 304];\r\nassert(isequal(coolers(COST),716))\r\n%%\r\nCOST = [608 457 948 406 340 75;...\r\n 279 600 453 439 896 664;...\r\n 800 843 811 679 546 704;...\r\n 797 32 929 466 750 919;...\r\n 955 188 673 954 125 661;...\r\n 445 944 373 355 454 691];\r\nassert(isequal(coolers(COST),2010))\r\n%%\r\nCOST = [854 26 473 324 731 29;...\r\n 468 57 679 802 774 128;...\r\n 459 143 115 300 901 134;...\r\n 807 172 237 776 139 129;...\r\n 825 626 290 553 795 936;...\r\n 191 30 173 555 190 274];\r\nassert(isequal(coolers(COST),1199))\r\n%%\r\nCOST = [943 546 850 417 382 152;...\r\n 639 256 8 518 723 437;...\r\n 873 306 635 887 96 13;...\r\n 368 16 360 150 668 230;...\r\n 237 588 115 435 297 264;...\r\n 188 963 541 60 599 512];\r\nassert(isequal(coolers(COST),627))\r\n%%\r\nCOST = [216 475 261 618 402 95;...\r\n 347 826 590 145 15 376;...\r\n 748 304 480 717 75 546;...\r\n 414 822 199 402 592 112;...\r\n 56 566 240 463 447 905;...\r\n 391 55 781 708 927 634];\r\nassert(isequal(coolers(COST),940))\r\n%%\r\nCOST = [906 61 814 762 771 880;...\r\n 631 674 316 876 876 374;...\r\n 15 478 312 872 68 767;...\r\n 317 306 345 173 647 169;...\r\n 112 517 667 851 325 520;...\r\n 630 708 862 960 641 628];\r\nassert(isequal(coolers(COST),1043))\r\n%%\r\nCOST = [714 628 766 404 544 135;...\r\n 307 193 319 751 411 541;...\r\n 264 777 253 488 901 858;...\r\n 917 865 201 385 57 199;...\r\n 616 334 70 62 444 156;...\r\n 94 136 552 214 538 62];\r\nassert(isequal(coolers(COST),575))\r\n%%\r\nCOST = [662 683 487 77 915 603;...\r\n 19 138 680 445 92 466;...\r\n 292 630 705 166 994 299;...\r\n 974 858 461 399 97 134;...\r\n 765 900 365 921 314 296;...\r\n 244 349 281 512 786 167];\r\nassert(isequal(coolers(COST),1112))\r\n%%\r\nCOST = [318 40 863 414 595 658;...\r\n 110 617 277 415 310 685;...\r\n 833 670 532 984 902 474;...\r\n 972 38 523 58 94 142;...\r\n 219 4 568 397 320 951;...\r\n 707 143 334 792 887 883];\r\nassert(isequal(coolers(COST),1040))\r\n%%\r\nCOST = [438 952 914 477 226 187;...\r\n 835 2 534 251 568 647;...\r\n 326 296 805 308 999 129;...\r\n 368 49 563 967 132 82;...\r\n 795 443 751 209 955 660;...\r\n 100 790 10 521 124 28];\r\nassert(isequal(coolers(COST),914))\r\n%%\r\nCOST = [986 693 226 415 41 625;...\r\n 540 603 797 499 583 296;...\r\n 374 776 997 950 565 75;...\r\n 707 592 282 954 356 294;...\r\n 948 377 711 733 881 235;...\r\n 383 851 665 385 625 346];\r\nassert(isequal(coolers(COST),1955))\r\n%%\r\nCOST = [849 636 448 593 844 465;...\r\n 161 844 327 69 424 31;...\r\n 158 783 280 206 545 435;...\r\n 509 265 932 724 528 558;...\r\n 604 315 400 576 186 639;...\r\n 162 184 380 201 82 35];\r\nassert(isequal(coolers(COST),1044))\r\n%%\r\nCOST = [710 855 367 351 91 968;...\r\n 170 385 350 193 258 434;...\r\n 594 400 631 920 428 785;...\r\n 609 326 665 289 578 526;...\r\n 773 556 993 551 900 332;...\r\n 57 296 945 920 219 432];\r\nassert(isequal(coolers(COST),1623))\r\n%%\r\nCOST = [718 654 235 805 97 557;...\r\n 917 41 201 104 600 840;...\r\n 891 505 381 730 234 205;...\r\n 135 895 595 649 33 622;...\r\n 120 386 269 475 580 175;...\r\n 894 293 623 933 843 290];\r\nassert(isequal(coolers(COST),1365))\r\n%%\r\nCOST = [19 283 206 904 234 347;...\r\n 702 245 435 541 247 298;...\r\n 953 287 143 818 171 405;...\r\n 750 964 376 709 236 303;...\r\n 757 231 794 44 276 758;...\r\n 543 538 813 146 952 360];\r\nassert(isequal(coolers(COST),1417))\r\n%%\r\nCOST = [125 458 201 22 719 780;...\r\n 618 78 960 483 450 568;...\r\n 356 905 666 808 660 77;...\r\n 363 282 542 737 754 252;...\r\n 69 614 869 573 805 134;...\r\n 868 662 558 9 30 565];\r\nassert(isequal(coolers(COST),953))\r\n%%\r\nCOST = [541 43 122 494 863 421;...\r\n 69 528 592 856 685 488;...\r\n 989 257 360 725 635 461;...\r\n 252 409 720 200 142 516;...\r\n 316 948 524 158 80 272;...\r\n 301 920 261 371 877 232];\r\nassert(isequal(coolers(COST),1198))\r\n%%\r\nCOST = [900 895 226 336 740 434;...\r\n 909 88 105 620 889 290;...\r\n 604 540 10 993 860 632;...\r\n 366 429 60 649 598 296;...\r\n 599 618 323 540 655 623;...\r\n 669 559 780 233 916 48];\r\nassert(isequal(coolers(COST),2054))\r\n%%\r\nCOST = [995 67 543 281 171 63;...\r\n 207 928 781 599 372 407;...\r\n 608 88 522 37 40 464;...\r\n 348 333 932 64 710 203;...\r\n 718 527 148 323 642 870;...\r\n 28 247 417 99 175 598];\r\nassert(isequal(coolers(COST),730))\r\n%%\r\nCOST = [24 867 571 301 445 250;...\r\n 900 616 326 522 983 956;...\r\n 453 27 451 562 579 143;...\r\n 59 323 578 242 235 513;...\r\n 107 464 75 913 811 972;...\r\n 999 100 58 826 452 649];\r\nassert(isequal(coolers(COST),902))\r\n%%\r\nCOST = [615 424 874 119 114 462;...\r\n 470 274 301 99 491 864;...\r\n 578 445 401 891 600 263;...\r\n 912 628 518 34 91 824;...\r\n 377 535 62 840 979 329;...\r\n 229 386 232 508 654 942];\r\nassert(isequal(coolers(COST),1065))\r\n%%\r\nCOST = [245 314 524 145 800 565;...\r\n 958 58 893 245 209 218;...\r\n 511 45 406 379 897 858;...\r\n 565 813 605 271 746 862;...\r\n 994 413 95 216 537 314;...\r\n 771 385 336 634 970 327];\r\nassert(isequal(coolers(COST),1381))\r\n%%\r\nCOST = [841 334 286 610 505 816;...\r\n 493 367 657 384 8 910;...\r\n 52 795 232 31 920 778;...\r\n 779 39 622 858 411 758;...\r\n 427 727 76 604 733 406;...\r\n 280 873 967 848 152 702];\r\nassert(isequal(coolers(COST),1140))\r\n%%\r\nCOST = [566 563 904 539 781 176;...\r\n 585 547 605 738 537 417;...\r\n 345 551 927 182 770 740;...\r\n 705 695 117 427 639 893;...\r\n 161 928 341 99 894 26;...\r\n 2 945 37 304 61 138];\r\nassert(isequal(coolers(COST),1153))\r\n%%\r\nCOST = [425 619 192 805 191 892;...\r\n 765 7 715 860 504 674;...\r\n 525 741 178 567 51 686;...\r\n 755 992 987 755 57 696;...\r\n 170 129 17 520 336 800;...\r\n 673 361 40 586 631 661];\r\nassert(isequal(coolers(COST),1579))\r\n%%\r\nCOST = [520 255 928 227 995 523;...\r\n 332 846 588 2 984 274;...\r\n 935 539 102 894 965 719;...\r\n 247 911 367 454 667 779;...\r\n 512 351 276 579 727 82;...\r\n 741 936 267 316 335 222];\r\nassert(isequal(coolers(COST),1598))\r\n%%\r\nCOST = [204 470 675 379 889 587;...\r\n 625 379 552 618 563 969;...\r\n 726 341 52 563 195 582;...\r\n 835 64 308 831 222 100;...\r\n 19 762 966 958 706 167;...\r\n 203 403 932 76 597 103];\r\nassert(isequal(coolers(COST),993))\r\n%%\r\nCOST = [147 800 210 627 782 774;...\r\n 672 400 481 412 936 748;...\r\n 640 756 113 639 740 319;...\r\n 373 296 133 857 254 511;...\r\n 163 641 65 764 720 774;...\r\n 390 886 80 977 694 573];\r\nassert(isequal(coolers(COST),1784))\r\n%%\r\nCOST = [954 463 111 359 365 588;...\r\n 172 130 200 135 400 778;...\r\n 908 550 163 999 927 658;...\r\n 753 970 37 514 496 529;...\r\n 287 443 273 388 610 826;...\r\n 628 591 231 250 5 963];\r\nassert(isequal(coolers(COST),1501))\r\n%%\r\nCOST = [314 306 715 905 664 101;...\r\n 798 19 460 387 603 287;...\r\n 286 163 920 604 657 355;...\r\n 15 444 989 561 310 536;...\r\n 95 767 933 846 332 991;...\r\n 329 682 462 285 189 29];\r\nassert(isequal(coolers(COST),1729))\r\n%%\r\nCOST = [710 876 77 818 359 455;...\r\n 906 865 377 174 364 30;...\r\n 866 356 150 677 268 638;...\r\n 120 632 35 876 338 60;...\r\n 956 865 783 758 87 170;...\r\n 441 21 328 230 452 685];\r\nassert(isequal(coolers(COST),1098))\r\n%%\r\nCOST = [555 461 15 279 896 625;...\r\n 7 371 5 645 888 207;...\r\n 289 825 167 288 394 110;...\r\n 377 538 366 322 676 566;...\r\n 147 818 719 156 253 275;...\r\n 75 461 160 388 950 72];\r\nassert(isequal(coolers(COST),1175))\r\n%%\r\nCOST = [159 896 447 617 948 551;...\r\n 50 608 812 304 334 161;...\r\n 681 15 145 90 390 118;...\r\n 782 345 975 522 151 399;...\r\n 808 534 834 826 334 832;...\r\n 266 628 341 764 554 186];\r\nassert(isequal(coolers(COST),569))\r\n%%\r\nCOST = [501 491 579 185 613 662;...\r\n 127 887 776 198 738 896;...\r\n 865 906 662 862 304 275;...\r\n 767 499 470 126 43 998;...\r\n 565 530 220 646 836 835;...\r\n 390 910 603 438 370 792];\r\nassert(isequal(coolers(COST),1584))\r\n%%\r\nCOST = [657 988 206 794 242 185;...\r\n 544 789 495 682 210 88;...\r\n 387 853 32 651 273 309;...\r\n 823 486 828 238 776 231;...\r\n 596 874 265 478 332 910;...\r\n 782 334 678 937 604 937];\r\nassert(isequal(coolers(COST),1504))\r\n%%\r\nCOST = [32 626 369 811 16 974;...\r\n 594 256 338 724 95 373;...\r\n 44 905 619 675 515 321;...\r\n 425 768 87 914 953 784;...\r\n 522 563 376 821 844 213;...\r\n 841 898 188 549 936 960];\r\nassert(isequal(coolers(COST),1717))\r\n%%\r\nCOST = [931 594 600 844 914 151;...\r\n 366 98 227 771 577 947;...\r\n 345 560 714 510 288 651;...\r\n 693 44 725 707 267 983;...\r\n 717 758 345 792 891 194;...\r\n 801 660 33 331 367 829];\r\nassert(isequal(coolers(COST),1626))\r\n%%\r\nCOST = [494 60 648 497 429 28;...\r\n 591 516 624 763 42 906;...\r\n 45 54 954 180 226 472;...\r\n 565 844 177 692 667 911;...\r\n 634 595 475 915 872 328;...\r\n 499 692 843 163 345 692];\r\nassert(isequal(coolers(COST),526))\r\n%%\r\nCOST = [18 334 151 424 616 681;...\r\n 513 633 839 529 102 394;...\r\n 332 416 727 276 670 392;...\r\n 337 577 109 828 348 207;...\r\n 954 960 162 793 670 725;...\r\n 751 616 298 274 296 820];\r\nassert(isequal(coolers(COST),1421))\r\n%%\r\nCOST = [927 854 101 228 459 109;...\r\n 515 430 413 358 952 652;...\r\n 194 926 925 925 133 147;...\r\n 603 374 56 503 71 694;...\r\n 199 699 385 804 707 626;...\r\n 411 589 241 351 932 44];\r\nassert(isequal(coolers(COST),1345))\r\n%%\r\nCOST = [798 582 93 769 788 680;...\r\n 987 602 334 283 125 10;...\r\n 437 253 652 650 158 129;...\r\n 345 655 504 923 415 764;...\r\n 49 61 531 331 688 842;...\r\n 226 941 380 814 658 747];\r\nassert(isequal(coolers(COST),1350))\r\n%%\r\nCOST = [945 618 338 215 587 443;...\r\n 920 559 552 293 939 692;...\r\n 224 731 744 450 619 760;...\r\n 510 64 413 241 251 400;...\r\n 788 493 508 264 103 568;...\r\n 523 230 129 892 547 206];\r\nassert(isequal(coolers(COST),1251))\r\n%%\r\nCOST = [944 708 393 379 767 434;...\r\n 513 657 243 634 337 103;...\r\n 277 779 282 32 626 237;...\r\n 230 581 905 921 327 972;...\r\n 953 504 703 470 312 699;...\r\n 690 879 854 520 647 660];\r\nassert(isequal(coolers(COST),1565))\r\n%%\r\nCOST = [327 450 172 573 377 40;...\r\n 20 769 722 832 394 565;...\r\n 571 628 90 348 429 50;...\r\n 37 315 918 780 424 873;...\r\n 265 293 430 709 219 861;...\r\n 191 79 80 591 497 339];\r\nassert(isequal(coolers(COST),1224))\r\n%%\r\nCOST = [975 347 346 214 761 636;...\r\n 955 234 903 936 580 803;...\r\n 989 756 13 970 622 670;...\r\n 158 226 133 376 490 472;...\r\n 3 449 389 985 221 945;...\r\n 249 260 841 123 145 592];\r\nassert(isequal(coolers(COST),1311))\r\n%%\r\nCOST = [227 932 883 581 327 592;...\r\n 684 697 780 627 288 1;...\r\n 321 96 19 112 497 904;...\r\n 749 246 771 214 182 683;...\r\n 999 935 686 37 934 74;...\r\n 270 480 868 445 941 997];\r\nassert(isequal(coolers(COST),804))\r\n%%\r\nCOST = [315 176 835 189 254 788;...\r\n 810 588 997 578 287 438;...\r\n 462 155 973 629 126 551;...\r\n 588 446 746 365 529 987;...\r\n 478 538 200 637 821 690;...\r\n 553 462 37 892 300 971];\r\nassert(isequal(coolers(COST),2037))\r\n%%\r\nCOST = [96 320 833 203 939 1;...\r\n 899 796 571 493 975 484;...\r\n 59 302 71 730 608 148;...\r\n 124 608 267 955 958 315;...\r\n 631 462 171 763 331 172;...\r\n 371 293 561 81 902 593];\r\nassert(isequal(coolers(COST),1341))\r\n%%\r\nCOST = [658 16 262 188 656 56;...\r\n 349 974 894 744 782 820;...\r\n 54 735 973 719 863 107;...\r\n 48 753 995 189 786 7;...\r\n 56 34 347 434 434 276;...\r\n 72 118 293 46 348 943];\r\nassert(isequal(coolers(COST),862))\r\n%%\r\nCOST = [675 962 293 837 855 788;...\r\n 386 823 439 42 174 175;...\r\n 857 11 399 424 536 720;...\r\n 675 142 138 76 295 233;...\r\n 609 483 953 314 903 208;...\r\n 440 581 361 946 82 217];\r\nassert(isequal(coolers(COST),1114))\r\n%%\r\nCOST = [977 461 237 907 842 269;...\r\n 382 4 832 993 684 981;...\r\n 636 465 438 391 172 313;...\r\n 47 825 508 827 238 572;...\r\n 233 872 186 955 435 612;...\r\n 875 302 152 894 26 902];\r\nassert(isequal(coolers(COST),1700))\r\n%%\r\nCOST = [397 297 634 847 995 269;...\r\n 693 572 965 41 429 758;...\r\n 205 317 201 330 268 610;...\r\n 63 810 599 710 473 967;...\r\n 623 366 84 861 161 774;...\r\n 689 699 545 501 159 573];\r\nassert(isequal(coolers(COST),1320))\r\n%%\r\nCOST = [451 355 996 87 199 597;...\r\n 288 581 84 520 657 323;...\r\n 753 299 469 553 699 831;...\r\n 95 714 94 686 460 123;...\r\n 107 361 726 300 158 252;...\r\n 735 719 913 602 422 938];\r\nassert(isequal(coolers(COST),1069))\r\n\r\n","published":true,"deleted":false,"likes_count":7,"comments_count":2,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":56,"test_suite_updated_at":"2020-04-03T23:22:52.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-04-01T22:04:29.000Z","updated_at":"2026-02-26T16:11:43.000Z","published_at":"2020-04-01T22:55:22.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn a certain chemical plant, 6 new pieces of cooling equipment (coolers) are to be installed in a vacant space. This vacant space was divided into a grid of 6 cells by 6 cells. Your task is to assign the 6 coolers to 6 cells in this grid with the following requirements:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThere must be one cooler for every column in the grid.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf you decide to install a cooler at row R, column C, then the cooler at column C+1 must be installed either on row R-1, R, or R+1 only. This is done to ease the connection of coolers by piping.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe total installation cost for the 6 coolers must be minimum.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this problem, you are given a cost matrix (COST) in relation to the third requirement above. COST is a 6 x 6 matrix where the\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003er,c\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-th element is the cost of assigning any cooler to row\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\u003er\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, column\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\u003ec\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (All the coolers are identical). Write a function that accepts the matrix COST, and output the value of the minimum cost of installation. You are ensured that all elements of COST are integers in the range [1,1000].\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn the sample test case below, the optimal placement is at the following rows: 4,3,3,2,2,2.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e COST = [695 766 710 119 752 548;\\n 318 796 755 499 256 139;\\n 951 187 277 960 506 150;\\n 35 490 680 341 700 258;\\n 439 446 656 586 891 841;\\n 382 647 163 224 960 255];\\n\u003e\u003e coolers(COST)\\nans = \\n 1393]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eMeanwhile, the optimal placement for the case below is at rows: 5,6,5,6,5,6\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[\u003e\u003e COST = [815 617 918 76 569 312;\\n 244 474 286 54 470 529;\\n 930 352 758 531 455 988;\\n 350 831 754 780 12 602;\\n 197 586 381 935 163 263;\\n 252 550 568 130 795 100];\\n\u003e\u003e coolers(COST)\\nans = \\n 1521]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":45503,"title":"Place wastewater treatment processes in the correct order","description":"There are many technologies for treating wastewater. For example, grit chambers are used to remove heavy solids, filtration is used to remove smaller solids, chemical oxidation disinfects the water from bacteria, and so on. By performing these steps one after the other, it is possible to recycle sewage water back to nature.\r\n\r\nHowever, the steps must be performed in the correct order, i.e. some technologies must be performed before others. In this problem, we will label these technologies as 1, 2, ... *N*. You are then given a [ *K* x 2] matrix called *P*, which is a list of constraints to be read as follows:\r\n\r\n\"Technology *P*( _i_, 1) must be performed _before_ *P*( _i_, 2),\" for all rows _i_.\r\n\r\nYour task is to list all *N* technologies from left to right in the order that they should be performed, that is, without violating any constraint. If there are multiple possible orderings, choose the one in which the technologies with the smaller labels come earlier. Your output will be essential for designing the sequence of steps in a wastewater treatment plant. \r\n\r\nConsider the following example:\r\n\r\n N = 4; P = [1 2;\r\n 3 4];\r\nPossible orderings: [1 2 3 4], [1 3 2 4], [1 3 4 2],\r\n [3 1 2 4], [3 1 4 2], [3 4 1 2].\r\nDesired ordering: [1 2 3 4]\r\n\r\n\r\nAnother example:\r\n\r\n N = 4; P = [2 1;\r\n 2 4];\r\nPossible orderings: [2 1 3 4], [2 1 4 3], [2 3 1 4], [2 3 4 1],\r\n [2 4 1 3], [2 4 3 1], [3 2 1 4], [3 2 4 1].\r\nDesired ordering: [2 1 3 4]\r\n\r\n\r\nWrite a function that takes *N* and *P*, then output the desired ordering. \r\n\r\nYou are ensured that 1 \u003c= *N* \u003c= 100 and 1 \u003c= *K* \u003c= 100. All elements of *P* are within [1, *N*]. Furthermore, none of the constraints will be conflicting.","description_html":"\u003cp\u003eThere are many technologies for treating wastewater. For example, grit chambers are used to remove heavy solids, filtration is used to remove smaller solids, chemical oxidation disinfects the water from bacteria, and so on. By performing these steps one after the other, it is possible to recycle sewage water back to nature.\u003c/p\u003e\u003cp\u003eHowever, the steps must be performed in the correct order, i.e. some technologies must be performed before others. In this problem, we will label these technologies as 1, 2, ... \u003cb\u003eN\u003c/b\u003e. You are then given a [ \u003cb\u003eK\u003c/b\u003e x 2] matrix called \u003cb\u003eP\u003c/b\u003e, which is a list of constraints to be read as follows:\u003c/p\u003e\u003cp\u003e\"Technology \u003cb\u003eP\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, 1) must be performed \u003ci\u003ebefore\u003c/i\u003e \u003cb\u003eP\u003c/b\u003e( \u003ci\u003ei\u003c/i\u003e, 2),\" for all rows \u003ci\u003ei\u003c/i\u003e.\u003c/p\u003e\u003cp\u003eYour task is to list all \u003cb\u003eN\u003c/b\u003e technologies from left to right in the order that they should be performed, that is, without violating any constraint. If there are multiple possible orderings, choose the one in which the technologies with the smaller labels come earlier. Your output will be essential for designing the sequence of steps in a wastewater treatment plant.\u003c/p\u003e\u003cp\u003eConsider the following example:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eN = 4; P = [1 2;\r\n 3 4];\r\nPossible orderings: [1 2 3 4], [1 3 2 4], [1 3 4 2],\r\n [3 1 2 4], [3 1 4 2], [3 4 1 2].\r\nDesired ordering: [1 2 3 4]\r\n\u003c/pre\u003e\u003cp\u003eAnother example:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eN = 4; P = [2 1;\r\n 2 4];\r\nPossible orderings: [2 1 3 4], [2 1 4 3], [2 3 1 4], [2 3 4 1],\r\n [2 4 1 3], [2 4 3 1], [3 2 1 4], [3 2 4 1].\r\nDesired ordering: [2 1 3 4]\r\n\u003c/pre\u003e\u003cp\u003eWrite a function that takes \u003cb\u003eN\u003c/b\u003e and \u003cb\u003eP\u003c/b\u003e, then output the desired ordering.\u003c/p\u003e\u003cp\u003eYou are ensured that 1 \u0026lt;= \u003cb\u003eN\u003c/b\u003e \u0026lt;= 100 and 1 \u0026lt;= \u003cb\u003eK\u003c/b\u003e \u0026lt;= 100. All elements of \u003cb\u003eP\u003c/b\u003e are within [1, \u003cb\u003eN\u003c/b\u003e]. Furthermore, none of the constraints will be conflicting.\u003c/p\u003e","function_template":"function y = order_processes(N,P)\r\n y = P(:)';\r\nend","test_suite":"%%\r\nfiletext = fileread('order_processes.m')\r\nassert(isempty(strfind(filetext, 'rand')))\r\nassert(isempty(strfind(filetext, 'fileread')))\r\nassert(isempty(strfind(filetext, 'assert')))\r\nassert(isempty(strfind(filetext, 'echo')))\r\n%%\r\nN = 4; P = [1 2; 3 4];\r\ny_correct = [1 2 3 4];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 4; P = [2 1; 2 4];\r\ny_correct = [2 1 3 4];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 4; P = [3 2; 3 1];\r\ny_correct = [3 1 2 4];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 8; P = [3 5; 8 2; 5 1; 4 2; 4 5; 5 2; 6 2; 7 6; 4 6];\r\ny_correct = [3 4 5 1 7 6 8 2];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 77; P = [42 37; 27 29; 59 56; 24 72; 50 40; 18 54; 14 49; 75 70; ...\r\n12 34; 5 29; 56 68; 26 49; 22 2; 40 53; 54 49; 77 14; ...\r\n40 1; 3 1; 33 68; 25 47; 73 63; 33 47; 62 68; 35 49; ...\r\n60 52; 61 49; 74 44; 3 10; 4 2; 38 61; 30 18; 41 54; ...\r\n57 39; 29 14; 58 37; 23 17; 21 39; 18 49; 7 72; 72 44; ...\r\n42 66; 39 68; 51 14; 68 26; 53 41; 74 42; 30 49; 18 53; ...\r\n71 9; 50 54; 67 70; 57 30; 39 66; 36 20; 55 25; 59 44; ...\r\n25 49; 64 67; 56 49; 43 20; 28 74; 50 30; 70 68; 4 21; ...\r\n29 40; 17 40; 55 4; 75 37; 65 69; 12 54; 14 18; 65 40; ...\r\n6 63; 59 52; 63 54; 15 30; 11 66; 5 39; 61 54; 51 18; ...\r\n68 34; 15 62; 61 35; 5 14; 15 63; 37 26; 13 29; 21 29];\r\ny_correct = [3 5 6 7 8 10 11 12 13 15 16 19 22 23 17 24 27 28 31 32 ...\r\n33 36 38 43 20 45 46 48 50 51 55 4 2 21 25 29 47 57 30 39 ...\r\n58 59 56 60 52 61 35 62 64 65 40 1 67 69 71 9 72 73 63 74 ...\r\n42 44 66 75 37 70 68 26 34 76 77 14 18 53 41 54 49 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 96; P = [24 33; 83 43; 34 7; 68 88; 29 61; 6 16; 81 71; 29 2; ...\r\n74 5; 35 52; 52 76; 33 92; 49 46; 79 12; 7 59; 57 73; ...\r\n35 58; 88 13; 67 19; 28 53; 43 70; 53 36; 93 7; 86 36; ...\r\n72 62; 23 31; 57 42; 6 35; 11 4; 33 70; 54 10; 75 76; ...\r\n78 59; 42 90; 44 41; 20 87; 40 93; 23 52; 16 15; 63 84; ...\r\n10 59; 38 61; 5 62; 87 71; 31 21; 21 18; 52 93; 1 41; ...\r\n19 41; 67 81; 21 7; 36 74; 58 34; 35 78; 61 75; 84 92; ...\r\n8 90; 33 52; 81 96; 54 21; 71 21; 84 50; 41 93; 86 95; ...\r\n88 26; 74 93; 8 22; 96 7; 82 76; 24 67; 18 34; 30 33; ...\r\n29 16; 50 18; 75 62; 77 17; 56 65; 54 17; 54 48; 53 96; ...\r\n20 18; 18 41; 79 39; 53 34; 11 52; 49 24; 37 84; 63 58; ...\r\n95 41; 28 66; 61 53; 4 19; 49 66; 35 74; 48 76; 41 7; ...\r\n14 54; 1 92; 91 55; 92 15; ];\r\ny_correct = [1 3 6 8 9 11 4 14 20 22 23 25 27 28 29 2 16 30 31 32 ...\r\n35 37 38 40 44 45 47 49 24 33 46 51 52 54 10 48 56 57 42 60 ...\r\n61 53 63 58 64 65 66 67 19 68 69 72 73 75 77 17 78 79 12 39 ...\r\n80 81 82 76 83 43 70 84 50 85 86 36 74 5 62 87 71 21 18 34 ...\r\n88 13 26 89 90 91 55 92 15 94 95 41 93 96 7 59 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 49; P = [18 8; 8 42; 42 5; 3 32; 26 36; 16 40; 23 32; 10 13; ...\r\n37 15; 22 11; 23 14; 7 42; 34 28; 20 12; 5 13; 14 26; ...\r\n25 33; 32 28; 12 31; 12 36; 37 31; 19 13; 16 24; 9 32; ...\r\n22 12; 4 17; 18 14; 2 14; 2 23; 23 9; 23 3; ];\r\ny_correct = [1 2 4 6 7 10 16 17 18 8 19 20 21 22 11 12 23 3 9 14 ...\r\n24 25 26 27 29 30 32 33 34 28 35 36 37 15 31 38 39 40 41 42 ...\r\n5 13 43 44 45 46 47 48 49 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 33; P = [14 22; 8 1; 27 1; 8 11; 10 22; ];\r\ny_correct = [2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 ...\r\n22 23 24 25 26 27 1 28 29 30 31 32 33 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 92; P = [78 42; 69 14; 45 91; 4 46; 57 2; 62 14; 45 8; 15 6; ...\r\n23 21; 67 91; 83 72; 10 4; 34 76; 1 53; 1 30; 15 46; ...\r\n17 19; 42 57; 38 36; 82 92; 3 73; 27 33; 28 79; 54 6; ...\r\n92 2; 7 6; 7 69; 31 16; 84 76; ];\r\ny_correct = [1 3 5 7 9 10 4 11 12 13 15 17 18 19 20 22 23 21 24 25 ...\r\n26 27 28 29 30 31 16 32 33 34 35 37 38 36 39 40 41 43 44 45 ...\r\n8 46 47 48 49 50 51 52 53 54 6 55 56 58 59 60 61 62 63 64 ...\r\n65 66 67 68 69 14 70 71 73 74 75 77 78 42 57 79 80 81 82 83 ...\r\n72 84 76 85 86 87 88 89 90 91 92 2 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 100; P = [94 96; 34 13; 33 30; 4 11; 18 66; 19 70; 98 100; 46 4; ...\r\n83 77; 59 41; 17 97; 4 68; 90 28; 31 53; 53 37; 74 20; ...\r\n80 12; 91 30; 2 71; 48 60; 19 7; 78 60; 37 92; 73 30; ...\r\n58 59; 35 78; 51 68; 94 60; 59 94; 2 12; 76 14; 66 16; ...\r\n91 68; 5 57; 32 68; 43 60; 72 85; 75 89; 21 96; 93 41; ...\r\n40 50; 63 10; 44 56; 12 60; 14 29; 43 72; 85 51; 64 86; ...\r\n54 7; 94 30; 11 41; 24 16; 59 60; 20 13; 45 88; 77 79; ...\r\n67 54; 41 1; 18 33; 17 48; 31 60; 59 54; 81 19; 82 97; ...\r\n3 79; 70 1; 42 58; 10 19; 52 98; 74 90; 86 94; 57 55; ...\r\n47 87; 6 43; 90 15; 75 79; 3 51; 12 50; 56 39; 13 1; ...\r\n86 22; 57 73; 23 48; 100 32; 19 85; 32 1; 14 66; 86 87; ...\r\n10 89; 20 12; 59 22; 18 67; 20 32; 41 16; 15 48; 27 59; ...\r\n16 92; 12 66; 62 47; 32 51; ];\r\ny_correct = [2 3 5 6 8 9 17 18 21 23 24 25 26 27 31 33 34 35 36 38 ...\r\n40 42 43 44 45 46 4 11 49 52 53 37 56 39 57 55 58 59 61 62 ...\r\n47 63 10 64 65 67 54 69 71 72 73 74 20 13 75 76 14 29 78 80 ...\r\n12 50 66 81 19 7 70 82 83 77 79 84 85 86 22 87 88 89 90 15 ...\r\n28 48 91 93 41 16 92 94 30 60 95 96 97 98 99 100 32 1 51 68];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 65; P = [33 42; 43 32; 2 37; 10 37; 59 32; 32 49; 17 34; 14 33; ...\r\n7 10; 12 54; 5 18; 1 20; 65 19; 24 36; 20 36; 56 32; ...\r\n42 38; 48 36; 39 32; 24 65; 16 54; 9 17; 27 19; 17 16; ...\r\n26 46; 64 52; 38 34; 59 26; 52 38; 63 50; 28 13; 5 25; ...\r\n10 27; 36 16; 19 64; 23 52; 48 41; 22 38; 54 38; 63 46; ...\r\n44 2; 8 13; 47 65; 36 52; 46 42; 46 38; 51 27; 41 38; ...\r\n2 62; 42 54; 51 3; 1 36; 28 14; 45 19; 6 34; 30 39; ...\r\n20 26; 49 38; 17 14; 2 26; 20 7; 21 33; 20 41; 21 9; ...\r\n37 27; 44 46; 5 34; 53 44; 62 17; 51 62; 50 62; 32 38; ...\r\n41 42; 37 25; 22 65; 3 38; 45 37; 44 13; 3 61; 21 19];\r\ny_correct = [1 4 5 6 8 11 12 15 18 20 7 10 21 9 22 23 24 28 29 30 ...\r\n31 35 39 40 43 45 47 48 36 41 51 3 53 44 2 13 37 25 27 55 ...\r\n56 57 58 59 26 32 49 60 61 63 46 50 62 17 14 16 33 42 54 65 ...\r\n19 64 52 38 34 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 26; P = [26 20];\r\ny_correct = [1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 21 ...\r\n22 23 24 25 26 20];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 12; P = [9 4; 9 7; 6 9; 5 3; 6 11; 2 9; 6 4; 12 4; ...\r\n7 4; 12 6; 2 7; 2 6; 6 7; 1 7; 1 5; 1 10; ...\r\n1 6; 3 6; 10 7; 5 4; 8 6; 5 10; 11 9; 8 7];\r\ny_correct = [1 2 5 3 8 10 12 6 11 9 7 4 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 23; P = [19 6; 16 23; 7 14; 21 16; 9 2; 1 6; 7 6; 4 6; ...\r\n15 17; 22 21; 6 17; 18 17; 21 23; 14 17; 10 18; 10 23; ...\r\n20 21; 15 19; 20 5; 22 23; 10 12; 8 17; 2 22; 11 10; ...\r\n4 8; 8 9; 8 5; 7 19; 20 11; 9 17; 13 9; 17 21; ...\r\n8 21; 4 18; 2 18; 13 6; 3 2; 6 21; 4 10; 14 23; ...\r\n19 21; 17 16; 15 18; 10 6; 12 17; 1 18; 12 6; 3 21; ...\r\n20 6; 10 16; 7 18; 8 23; 14 22; 17 23; 7 23; 13 21];\r\ny_correct = [1 3 4 7 8 13 9 2 14 15 19 20 5 11 10 12 6 18 17 22 ...\r\n21 16 23 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n%%\r\nN = 86; P = [74 53; 17 66; 84 7; 51 7; 24 57; 58 57; 10 20; 79 65; ...\r\n64 57; 58 39; 43 34; 45 63; 36 7; 4 77; 33 14; 75 19; ...\r\n86 4; 17 76; 54 6; 85 39; 74 39; 75 68; 28 20; 71 74; ...\r\n30 62; 85 65; 24 77; 69 42; 25 66; 40 11; 67 53; 84 6; ...\r\n85 62; 49 35; 54 5; 54 35; 82 64; 49 25; 42 39; 80 57; ...\r\n77 63; 16 46; 8 78; 30 63; 61 73; 75 66; 81 52; 25 63; ...\r\n33 26; 45 12; 9 40; 31 78; 55 30; 34 22; 7 25; 65 63; ...\r\n22 32; 34 52; 9 68; 48 73; 78 65; 73 40; 71 40; 14 68; ...\r\n3 65; 42 40; 15 61; 42 83; 56 74; 53 63; 59 49; 83 72; ...\r\n46 77; 3 10; 6 74; ];\r\ny_correct = [1 2 3 8 9 10 13 15 16 17 18 21 23 24 27 28 20 29 31 33 ...\r\n14 26 36 37 38 41 43 34 22 32 44 45 12 46 47 48 50 51 54 5 ...\r\n55 30 56 58 59 49 35 60 61 67 69 42 70 71 73 40 11 75 19 68 ...\r\n76 78 79 80 81 52 82 64 57 83 72 84 6 7 25 66 74 53 85 39 ...\r\n62 65 86 4 77 63 ];\r\nassert(isequal(order_processes(N,P),y_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":4,"created_by":255320,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":17,"test_suite_updated_at":"2020-05-07T23:35:01.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-05-07T22:19:51.000Z","updated_at":"2025-12-05T00:18:30.000Z","published_at":"2020-05-07T23:35:01.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThere are many technologies for treating wastewater. For example, grit chambers are used to remove heavy solids, filtration is used to remove smaller solids, chemical oxidation disinfects the water from bacteria, and so on. By performing these steps one after the other, it is possible to recycle sewage water back to nature.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eHowever, the steps must be performed in the correct order, i.e. some technologies must be performed before others. In this problem, we will label these technologies as 1, 2, ...\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. You are then given a [\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eK\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e x 2] matrix called\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, which is a list of constraints to be read as follows:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\"Technology\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 1) must be performed\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\u003ebefore\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, 2),\\\" for all rows\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\u003ei\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task is to list all\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e technologies from left to right in the order that they should be performed, that is, without violating any constraint. If there are multiple possible orderings, choose the one in which the technologies with the smaller labels come earlier. Your output will be essential for designing the sequence of steps in a wastewater treatment plant.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eConsider the following example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[N = 4; P = [1 2;\\n 3 4];\\nPossible orderings: [1 2 3 4], [1 3 2 4], [1 3 4 2],\\n [3 1 2 4], [3 1 4 2], [3 4 1 2].\\nDesired ordering: [1 2 3 4]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAnother example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[N = 4; P = [2 1;\\n 2 4];\\nPossible orderings: [2 1 3 4], [2 1 4 3], [2 3 1 4], [2 3 4 1],\\n [2 4 1 3], [2 4 3 1], [3 2 1 4], [3 2 4 1].\\nDesired ordering: [2 1 3 4]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, then output the desired ordering.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou are ensured that 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100 and 1 \u0026lt;=\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eK\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026lt;= 100. All elements of\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eP\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are within [1,\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e]. Furthermore, none of the constraints will be conflicting.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"}],"term":"tag:\"chemical 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